Regimental statistics

The tables below are based on incomplete and in some cases contradictory information; as I get more information, the numbers change.

Age when enlisted, in frequency order

18	213	10.5%
19	167	8.2%
21	134	6.6%
23	116	5.7%
20	107	5.3%
22	106	5.2%
24	94	4.6%
25	83	4.1%
28	81	4.0%
44	78	3.8%
29	65	3.2%
40	65	3.2%
27	62	3.0%
26	59	2.9%
35	59	2.9%
30	55	2.7%
38	49	2.4%
32	49	2.4%
33	49	2.4%
34	48	2.4%
37	47	2.3%
43	41	2.0%
31	37	1.8%
42	36	1.8%
36	30	1.5%
17	28	1.4%
[unknown]	27	%
39	27	1.3%
41	19	0.9%
45	14	0.7%
16	5	0.2%
48	3	0.1%
56	2	0.1%
47	1	0.0%
15	1	0.0%
14	1	0.0%
13	1	0.0%
50	1	0.0%
54	1	0.0%

Age when enlisted

13	1	0.0%
14	1	0.0%
15	1	0.0%
16	5	0.2%
17	28	1.4%
18	213	10.5%
19	167	8.2%
20	107	5.3%
21	134	6.6%
22	106	5.2%
23	116	5.7%
24	94	4.6%
25	83	4.1%
26	59	2.9%
27	62	3.0%
28	81	4.0%
29	65	3.2%
30	55	2.7%
31	37	1.8%
32	49	2.4%
33	49	2.4%
34	48	2.4%
35	59	2.9%
36	30	1.5%
37	47	2.3%
38	49	2.4%
39	27	1.3%
40	65	3.2%
41	19	0.9%
42	36	1.8%
43	41	2.0%
44	78	3.8%
45	14	0.7%
47	1	0.0%
48	3	0.1%
50	1	0.0%
54	1	0.0%
56	2	0.1%
[unknown]	27	%

Age when enlisted, summary

based on 2034 instances
minimum	13 years
maximum	56 years
median	25.0 years
mode	18: 213 instances
mean	27.4 years
standard deviation	8.82

Age when enlisted (grouped)

0-19	416	20.5%
20-29	907	44.6%
30-39	450	22.1%
40-	261	12.8%
[unknown]	27	%

Age of volunteers

based on 1400 instances
minimum	13 years
maximum	56 years
median	25.0 years
mode	18: 169 instances
mean	27.5 years
standard deviation	9.35

Age of drafted men

based on 313 instances
minimum	18 years
maximum	44 years
median	29 years
mode	24 / 37: 22 instances
mean	29.5 years
standard deviation	7.08

Age of substitutes

based on 320 instances
minimum	16 years
maximum	45 years
median	23.0 years
mode	18: 42 instances
mean	24.9 years
standard deviation	6.93

Age at enlistment of men who began as commissioned officers

based on 28 instances
minimum	19 years
maximum	56 years
median	29.0 years
mode	22: 5 instances
mean	30.4 years
standard deviation	13.06

Age at enlistment of men who did not begin as commissioned officers

based on 2006 instances
minimum	13 years
maximum	56 years
median	25.0 years
mode	18: 213 instances
mean	27.4 years
standard deviation	8.75

Age at enlistment of men who ended as commissioned officers

based on 73 instances
minimum	18 years
maximum	56 years
median	25 years
mode	22: 8 instances
mean	27.1 years
standard deviation	10.81

Age at enlistment, by length of service (grouped)

	A: 0-9 days	B: 10-399 days	C: 400-799 days	D: 800-1199 days	E: 1200 or more days	[unknown]	total
13	0 (0.06)	0 (0.45)	0 (0.23)	1 (0.11)	0 (0.11)	0 (0.04)	1
14	0 (0.06)	0 (0.45)	0 (0.23)	0 (0.11)	1 (0.11)	0 (0.04)	1
15	0 (0.06)	0 (0.45)	1 (0.23)	0 (0.11)	0 (0.11)	0 (0.04)	1
16	0 (0.3)	2 (2.23)	1 (1.15)	0 (0.55)	2 (0.56)	0 (0.21)	5
17	0 (1.68)	17 (12.49)	2 (6.44)	0 (3.08)	4 (3.14)	5 (1.17)	28
18	6 (12.82)	83 (94.98)	57 (48.99)	23 (23.46)	34 (23.87)	10 (8.89)	213
19	12 (10.05)	67 (74.47)	40 (38.41)	18 (18.39)	28 (18.72)	2 (6.97)	167
20	6 (6.44)	46 (47.71)	28 (24.61)	10 (11.79)	16 (11.99)	1 (4.46)	107
21	8 (8.06)	49 (59.75)	41 (30.82)	20 (14.76)	13 (15.02)	3 (5.59)	134
22	10 (6.38)	42 (47.27)	25 (24.38)	16 (11.67)	11 (11.88)	2 (4.42)	106
23	10 (6.98)	49 (51.72)	23 (26.68)	19 (12.78)	10 (13.0)	5 (4.84)	116
24	9 (5.66)	45 (41.91)	22 (21.62)	6 (10.35)	9 (10.54)	3 (3.92)	94
25	7 (4.99)	35 (37.01)	13 (19.09)	11 (9.14)	10 (9.3)	7 (3.46)	83
26	6 (3.55)	27 (26.31)	13 (13.57)	8 (6.5)	4 (6.61)	1 (2.46)	59
27	5 (3.73)	29 (27.65)	15 (14.26)	5 (6.83)	6 (6.95)	2 (2.59)	62
28	5 (4.87)	30 (36.12)	18 (18.63)	16 (8.92)	8 (9.08)	4 (3.38)	81
29	8 (3.91)	33 (28.98)	12 (14.95)	3 (7.16)	7 (7.29)	2 (2.71)	65
30	5 (3.31)	24 (24.52)	10 (12.65)	7 (6.06)	8 (6.16)	1 (2.3)	55
31	0 (2.23)	19 (16.5)	7 (8.51)	6 (4.08)	4 (4.15)	1 (1.54)	37
32	2 (2.95)	22 (21.85)	7 (11.27)	7 (5.4)	10 (5.49)	1 (2.04)	49
33	3 (2.95)	22 (21.85)	13 (11.27)	4 (5.4)	2 (5.49)	5 (2.04)	49
34	3 (2.89)	25 (21.4)	9 (11.04)	5 (5.29)	4 (5.38)	2 (2.0)	48
35	3 (3.55)	31 (26.31)	7 (13.57)	7 (6.5)	5 (6.61)	6 (2.46)	59
36	0 (1.8)	12 (13.38)	12 (6.9)	3 (3.3)	2 (3.36)	1 (1.25)	30
37	0 (2.83)	33 (20.96)	10 (10.81)	1 (5.18)	2 (5.27)	1 (1.96)	47
38	2 (2.95)	22 (21.85)	14 (11.27)	5 (5.4)	5 (5.49)	1 (2.04)	49
39	1 (1.62)	15 (12.04)	3 (6.21)	4 (2.97)	1 (3.03)	3 (1.13)	27
40	1 (3.91)	31 (28.98)	16 (14.95)	7 (7.16)	8 (7.29)	2 (2.71)	65
41	2 (1.14)	8 (8.47)	5 (4.37)	1 (2.09)	2 (2.13)	1 (0.79)	19
42	1 (2.17)	19 (16.05)	9 (8.28)	1 (3.97)	4 (4.03)	2 (1.5)	36
43	4 (2.47)	22 (18.28)	6 (9.43)	5 (4.52)	1 (4.6)	3 (1.71)	41
44	1 (4.69)	40 (34.78)	23 (17.94)	4 (8.59)	8 (8.74)	2 (3.25)	78
45	1 (0.84)	5 (6.24)	5 (3.22)	2 (1.54)	0 (1.57)	1 (0.58)	14
47	0 (0.06)	0 (0.45)	0 (0.23)	0 (0.11)	0 (0.11)	1 (0.04)	1
48	0 (0.18)	1 (1.34)	0 (0.69)	1 (0.33)	0 (0.34)	1 (0.13)	3
50	0 (0.06)	1 (0.45)	0 (0.23)	0 (0.11)	0 (0.11)	0 (0.04)	1
54	0 (0.06)	1 (0.45)	0 (0.23)	0 (0.11)	0 (0.11)	0 (0.04)	1
56	0 (0.12)	0 (0.89)	1 (0.46)	0 (0.22)	1 (0.22)	0 (0.08)	2
[unknown]	3 (1.62)	12 (12.04)	6 (6.21)	1 (2.97)	1 (3.03)	4 (1.13)	27
total	124	919	474	227	231	86	2061

chi square wasn't calculated because 124 expected values were less than 5

Age at enlistment, by length of service (grouped)

	0-19	20-29	30-39	40-	[unknown]	total
A: 0-9 days	18 (25.03)	74 (54.57)	19 (27.07)	10 (15.7)	3 (1.62)	124
B: 10-399 days	169 (185.49)	385 (404.43)	225 (200.66)	128 (116.38)	12 (12.04)	919
C: 400-799 days	101 (95.67)	210 (208.6)	92 (103.49)	65 (60.03)	6 (6.21)	474
D: 800-1199 days	42 (45.82)	114 (99.9)	49 (49.56)	21 (28.75)	1 (2.97)	227
E: 1200 or more days	69 (46.63)	94 (101.66)	43 (50.44)	24 (29.25)	1 (3.03)	231
[unknown]	17 (17.36)	30 (37.85)	22 (18.78)	13 (10.89)	4 (1.13)	86
total	416	907	450	261	27	2061

chi-square not calculated: need to add tables for 20 degrees of freedom

Attended 1884 Survivors' association meeting

attended	33	1.6%
did not attend	2028	98.4%

Attended 1884 meeting, by volunteer status

	attended	did not attend	total
[unknown]	0 (0.05)	3 (2.95)	3
draftee	0 (5.03)	314 (308.97)	314
substitute	0 (5.12)	320 (314.88)	320
volunteer	33 (22.8)	1391 (1401.2)	1424
total	33	2028	2061

chi square wasn't calculated because 2 expected values were less than 5

Attended 1884 meeting, by exit reason

	attended	did not attend	total
[unknown]	0 (0.42)	26 (25.58)	26
deserted	0 (4.74)	296 (291.26)	296
died (accidentally killed)	0 (0.11)	7 (6.89)	7
died (by committing suicide)	0 (0.05)	3 (2.95)	3
died (by drowning)	0 (0.05)	3 (2.95)	3
died (in Confederate prison)	0 (0.1)	6 (5.9)	6
died (killed in action)	0 (1.02)	64 (62.98)	64
died (of battle wounds)	0 (0.78)	49 (48.22)	49
died (of illness)	0 (0.83)	52 (51.17)	52
died (probably of illness)	0 (0.1)	6 (5.9)	6
disappears from records without explanation	0 (0.02)	1 (0.98)	1
enlisted but not on other records	0 (0.59)	37 (36.41)	37
rejected by Board of Medical Examiners	0 (0.02)	1 (0.98)	1
unknown	0 (0.08)	5 (4.92)	5
was absent on detached duty when the regiment mustered out	0 (0.06)	4 (3.94)	4
was absent on furlough when the regiment mustered out	0 (0.13)	8 (7.87)	8
was absent when the regiment mustered out	0 (1.36)	85 (83.64)	85
was absent without leave when the regiment mustered out	0 (0.03)	2 (1.97)	2
was cashiered	0 (0.05)	3 (2.95)	3
was discharged	1 (0.16)	9 (9.84)	10
was discharged because overage	0 (0.02)	1 (0.98)	1
was discharged because underage	0 (0.22)	14 (13.78)	14
was discharged by general order	4 (2.55)	155 (156.45)	159
was discharged by habeas corpus	0 (0.11)	7 (6.89)	7
was discharged by special order	2 (0.42)	24 (25.58)	26
was discharged on surgeon's certificate of disability	10 (5.44)	330 (334.56)	340
was discharged to be promoted	0 (0.06)	4 (3.94)	4
was discharged when his term expired	7 (1.15)	65 (70.85)	72
was dishonorably discharged by general court martial	0 (0.08)	5 (4.92)	5
was dismissed	0 (0.05)	3 (2.95)	3
was dropped from rolls	0 (0.02)	1 (0.98)	1
was missing in action	0 (0.08)	5 (4.92)	5
was mustered out	0 (0.05)	3 (2.95)	3
was mustered out with the regiment	5 (10.47)	649 (643.53)	654
was resigned	1 (0.13)	7 (7.87)	8
was transferred	1 (0.46)	28 (28.54)	29
was transferred to the Veterans' Reserve Corps	2 (0.99)	60 (61.01)	62
total	33	2028	2061

chi square wasn't calculated because 50 expected values were less than 5

Attended 1884 meeting, by veteran status (volunteers only!)

	attended	did not attend	total
[unknown]	10 (3.87)	157 (163.13)	167
ineligible	13 (21.37)	909 (900.63)	922
unwilling to reenlist	3 (0.93)	37 (39.07)	40
veteran	4 (6.26)	266 (263.74)	270
willing to reenlist	3 (0.58)	22 (24.42)	25
total	33	1391	1424

chi square wasn't calculated because 3 expected values were less than 5

Birthplace, in frequency order

US, Pennsylvania, Philadelphia	556	31.7%
[unknown]	308	%
Ireland	165	9.4%
US, Pennsylvania	153	8.7%
Germany	69	3.9%
US, Pennsylvania, Bedford	50	2.9%
England	39	2.2%
US, Pennsylvania, Adams	30	1.7%
US, New York	18	1.0%
Scotland	17	1.0%
US, Pennsylvania, Chester	16	0.9%
Canada	13	0.7%
US, Pennsylvania, Montgomery	13	0.7%
US, Pennsylvania, Northumberland, Milton	13	0.7%
US, Pennsylvania, Bucks	11	0.6%
US, Pennsylvania, Lancaster	11	0.6%
Ireland, Derry	10	0.6%
US, Maryland, Baltimore	10	0.6%
US, New York, New York	10	0.6%
France	9	0.5%
Ireland, Dublin	9	0.5%
Ireland, Tyrone	9	0.5%
US, Pennsylvania, Delaware	9	0.5%
Ireland, Donegal	8	0.5%
US, New Jersey	8	0.5%
US, Pennsylvania, Berks	8	0.5%
Switzerland	7	0.4%
US, Maryland	7	0.4%
Ireland, Antrim	6	0.3%
Prussia	6	0.3%
US, Pennsylvania, Northumberland	6	0.3%
England, Lancashire	5	0.3%
US, Massachusetts, Suffolk, Boston	5	0.3%
US, New Jersey, Burlington	5	0.3%
US, Pennsylvania, Dauphin	5	0.3%
US, Pennsylvania, Northampton, Easton	5	0.3%
US, Pennsylvania, York	5	0.3%
England, Manchester	4	0.2%
Ireland, Belfast	4	0.2%
Ireland, County Antrim	4	0.2%
US, Delaware	4	0.2%
US, New Jersey, Salem	4	0.2%
US, Pennsylvania, Armstrong	4	0.2%
US, Pennsylvania, Cambria	4	0.2%
Wales	4	0.2%
Bavaria	3	0.2%
England, London	3	0.2%
Germany, Wurtemburg	3	0.2%
Ireland, Armagh	3	0.2%
Ireland, County Tyrone	3	0.2%
Ireland, Denighal	3	0.2%
Ireland, Derry County	3	0.2%
Ireland, Londonderry	3	0.2%
US, Delaware, New Castle	3	0.2%
US, Delaware, New Castle, Wilmington	3	0.2%
US, New Jersey, Camden, Camden	3	0.2%
US, Pennsylvania, Allegheny	3	0.2%
US, Pennsylvania, Allegheny, Pittsburgh	3	0.2%
US, Pennsylvania, Blair, Hollidaysburg	3	0.2%
US, Pennsylvania, Bucks, Bristol	3	0.2%
US, Pennsylvania, Dauphin, Harrisburg	3	0.2%
US, Pennsylvania, Franklin	3	0.2%
US, Pennsylvania, Huntingdon	3	0.2%
US, Pennsylvania, Monroe	3	0.2%
US, Pennsylvania, Montgomery, Norristown	3	0.2%
US, Pennsylvania, Somerset	3	0.2%
Wurtemburg	3	0.2%
Canada, Halifax, Nova Scotia	2	0.1%
Canada, New Brunswick, St John	2	0.1%
England, Liverpool	2	0.1%
France, Paris	2	0.1%
Germany, Baden	2	0.1%
Germany, Bavaria	2	0.1%
Ireland, Antrim County	2	0.1%
Ireland, Cork	2	0.1%
Ireland, Galway	2	0.1%
Ireland, Gerglasuen	2	0.1%
Ireland, Tirone	2	0.1%
Ireland, Tirone County	2	0.1%
Ireland, Tyrone County	2	0.1%
Ireland, Waterford	2	0.1%
Spain	2	0.1%
US, Georgia	2	0.1%
US, Maryland, Cecil	2	0.1%
US, New Jersey, Burlington, Medford	2	0.1%
US, New Jersey, Camden	2	0.1%
US, New Jersey, Cumberland, Millville	2	0.1%
US, New Jersey, Mercer, Trenton	2	0.1%
US, New York, Albany	2	0.1%
US, Pennsylvania, Adams, York Springs	2	0.1%
US, Pennsylvania, Bedford, Southampton Twp	2	0.1%
US, Pennsylvania, Berks, Reading	2	0.1%
US, Pennsylvania, Blair	2	0.1%
US, Pennsylvania, Butler	2	0.1%
US, Pennsylvania, Carbon, Mauch Chunk	2	0.1%
US, Pennsylvania, Centre, Bellefonte	2	0.1%
US, Pennsylvania, Chester, West Chester	2	0.1%
US, Pennsylvania, Clearfield	2	0.1%
US, Pennsylvania, Huntingdon, Hopewell Twp	2	0.1%
US, Pennsylvania, Huntingdon, Warrior's Mark	2	0.1%
US, Pennsylvania, Indiana	2	0.1%
US, Pennsylvania, Juniata	2	0.1%
US, Pennsylvania, Montour	2	0.1%
US, Pennsylvania, Schuylkill, Pine Grove	2	0.1%
US, Pennsylvania, Schuylkill, Pottsville	2	0.1%
Belgium	1	0.1%
Canada, New Brunswick	1	0.1%
Canada, Nova Scotia, Halifax	1	0.1%
Canada, Quebec	1	0.1%
Canada, St Bridget	1	0.1%
Canada, Toronto	1	0.1%
England, Carlisle	1	0.1%
England, Cheltenham	1	0.1%
England, Chester	1	0.1%
England, Cumberland	1	0.1%
England, Devon, Plymouth, Charles the Martyr, Saltash St	1	0.1%
England, Dorset, Weymouth	1	0.1%
England, Dover	1	0.1%
England, Lancaster	1	0.1%
England, Lanchisier	1	0.1%
England, Langford	1	0.1%
England, Lestershire	1	0.1%
England, Manchester County	1	0.1%
England, Molton	1	0.1%
England, Newcastle	1	0.1%
England, Northampton	1	0.1%
England, Sheffield	1	0.1%
England, Stafford County	1	0.1%
England, Staffordshire	1	0.1%
England, West Brommich	1	0.1%
England, Yorkshire	1	0.1%
England, Yorkshire County	1	0.1%
England, Yorkshire, Barnsley	1	0.1%
England, near Birmingham	1	0.1%
France, Abershrice [?]	1	0.1%
France, Aix-la Chapelle	1	0.1%
France, Alsace	1	0.1%
France, Passy	1	0.1%
France, Seine, Paris	1	0.1%
France, Strausborg	1	0.1%
Germany, Allsburg	1	0.1%
Germany, Brun	1	0.1%
Germany, Holland	1	0.1%
Germany, Prussia	1	0.1%
Germany, Saxon	1	0.1%
Germany, Schurzburg	1	0.1%
Germany, Stoltest	1	0.1%
Germany, Trin	1	0.1%
Germany, Tyrol	1	0.1%
Germany, Wurttemberg	1	0.1%
Ireland, Armaugh County	1	0.1%
Ireland, Balcastle	1	0.1%
Ireland, Bangdon	1	0.1%
Ireland, Carlon	1	0.1%
Ireland, Cavanah	1	0.1%
Ireland, County Cork	1	0.1%
Ireland, Denegahl	1	0.1%
Ireland, Denegall	1	0.1%
Ireland, Dengal County	1	0.1%
Ireland, Denigall	1	0.1%
Ireland, Devon	1	0.1%
Ireland, Donnegall	1	0.1%
Ireland, Doug County	1	0.1%
Ireland, Down	1	0.1%
Ireland, Down County	1	0.1%
Ireland, Entrim	1	0.1%
Ireland, Fermana	1	0.1%
Ireland, Kilkenny	1	0.1%
Ireland, Lathvan	1	0.1%
Ireland, Limerick	1	0.1%
Ireland, Londenderry	1	0.1%
Ireland, Louth	1	0.1%
Ireland, Lurgan	1	0.1%
Ireland, Madeira	1	0.1%
Ireland, Marion	1	0.1%
Ireland, Melton	1	0.1%
Ireland, Monaghan	1	0.1%
Ireland, Monchen	1	0.1%
Ireland, Munster	1	0.1%
Ireland, Newburgh	1	0.1%
Ireland, Tipperary	1	0.1%
Ireland, Warford	1	0.1%
Ireland, Wastemich [?]	1	0.1%
Ireland, [unknown], County Tyrone	1	0.1%
Malta	1	0.1%
Poland	1	0.1%
Saxony	1	0.1%
Scotland, Ayrshire	1	0.1%
Scotland, Ferth	1	0.1%
Scotland, Glasgow	1	0.1%
Scotland, Lanarkshire	1	0.1%
Scotland, Paisely	1	0.1%
Scotland, Pasely	1	0.1%
US, Connecticut	1	0.1%
US, Connecticut, Hartford	1	0.1%
US, Connecticut, Hartford, East Hartford	1	0.1%
US, Connecticut, Hartford, ThomsonVille	1	0.1%
US, Connecticut, New Haven	1	0.1%
US, Delaware, Christianna, Wilmington	1	0.1%
US, Delaware, Essex	1	0.1%
US, Delaware, Milton	1	0.1%
US, Delaware, New Castle, Red Lion Twp	1	0.1%
US, Delaware, Newcastle	1	0.1%
US, Delaware, Newcastle, Port Penn	1	0.1%
US, Delaware, Sussex, Georgetown	1	0.1%
US, Delaware, Sussex, Georgetown [?]	1	0.1%
US, Delaware, [unknown], Lewistown	1	0.1%
US, Delaware, [unknown], Whitely [?] Creek	1	0.1%
US, Illinois	1	0.1%
US, Indiana	1	0.1%
US, Indiana, Floyd, New Albany	1	0.1%
US, Kentucky, Clay County	1	0.1%
US, Maine, Cumberland	1	0.1%
US, Maine, Kennebec, Augusta	1	0.1%
US, Maine, Portland	1	0.1%
US, Maine, York, Parsonfield	1	0.1%
US, Maryland, Allegany	1	0.1%
US, Maryland, Dochester	1	0.1%
US, Maryland, Prince George	1	0.1%
US, Maryland, Talbot Cty	1	0.1%
US, Maryland, Washington County, Smithsburg	1	0.1%
US, Maryland, Washington Cty	1	0.1%
US, Massachusetts, Cambridge	1	0.1%
US, Massachusetts, Charleston	1	0.1%
US, Massachusetts, Essex, Danvers	1	0.1%
US, Massachusetts, Hampden, Holland	1	0.1%
US, Massachusetts, Marblehead	1	0.1%
US, New Jersey, Atlantic, Atlantic City	1	0.1%
US, New Jersey, Camden, Haddonfield	1	0.1%
US, New Jersey, Camden, Waterford	1	0.1%
US, New Jersey, Cape May	1	0.1%
US, New Jersey, Cumberland, Port Elizabeth	1	0.1%
US, New Jersey, Gloucester	1	0.1%
US, New Jersey, Gloucester, Blackwood	1	0.1%
US, New Jersey, Mercer, near Trenton	1	0.1%
US, New Jersey, Monmouth	1	0.1%
US, New Jersey, Passaic, Patterson	1	0.1%
US, New Jersey, Warren	1	0.1%
US, New Jersey, [unknown], Amley	1	0.1%
US, New York, Alegheny	1	0.1%
US, New York, Columbia, Hudson	1	0.1%
US, New York, Dutchess County	1	0.1%
US, New York, Madison, Oneida	1	0.1%
US, New York, Montgomery, Amsterdam	1	0.1%
US, New York, NY, Brooklyn	1	0.1%
US, New York, Oneida, Utica	1	0.1%
US, New York, Oneida, Vienna	1	0.1%
US, New York, Ontario, Canandaigua	1	0.1%
US, New York, Oswego	1	0.1%
US, New York, Otsego	1	0.1%
US, New York, Rensselaer County, Sand Lake	1	0.1%
US, New York, Rochester	1	0.1%
US, New York, West Chester	1	0.1%
US, New York, Wyoming, Wethersfield Springs	1	0.1%
US, New York, [unknown], Lanohill [?]	1	0.1%
US, New York, [unknown], Otugo	1	0.1%
US, North Carolina, Craven, Newburn	1	0.1%
US, Ohio	1	0.1%
US, Ohio, Cincinnati	1	0.1%
US, Ohio, Pickaway	1	0.1%
US, Ohio, Washington	1	0.1%
US, Ohio, Wyoming	1	0.1%
US, Ohio, [unknown], Cicle [??]	1	0.1%
US, Pennsylvania, Adams, Franklin Twp, Cashtown	1	0.1%
US, Pennsylvania, Adams, Huntington Twp	1	0.1%
US, Pennsylvania, Adams, Irishtown	1	0.1%
US, Pennsylvania, Adams, Liberty Twp	1	0.1%
US, Pennsylvania, Adams, Littlestown	1	0.1%
US, Pennsylvania, Adams, Menallen	1	0.1%
US, Pennsylvania, Adams, Menallen Twp	1	0.1%
US, Pennsylvania, Adams, near Heidlersburg	1	0.1%
US, Pennsylvania, Allegheny, Allegheny City	1	0.1%
US, Pennsylvania, Allegheny, Elizabeth	1	0.1%
US, Pennsylvania, Armstrong, Perry Twp	1	0.1%
US, Pennsylvania, Beaver	1	0.1%
US, Pennsylvania, Bedford, Bean's Cove	1	0.1%
US, Pennsylvania, Bedford, Black Valley	1	0.1%
US, Pennsylvania, Bedford, Elbinsville	1	0.1%
US, Pennsylvania, Bedford, Lincoln Township	1	0.1%
US, Pennsylvania, Bedford, Pavia	1	0.1%
US, Pennsylvania, Bedford, Saint Clair	1	0.1%
US, Pennsylvania, Bedford, Schellsburg	1	0.1%
US, Pennsylvania, Bedford, Southampton Township	1	0.1%
US, Pennsylvania, Bedford, St Clair Township	1	0.1%
US, Pennsylvania, Bedford, West Providence	1	0.1%
US, Pennsylvania, Berks, Pike Twp	1	0.1%
US, Pennsylvania, Blair, North Woodbury Twp	1	0.1%
US, Pennsylvania, Blair, Sinking Valley	1	0.1%
US, Pennsylvania, Bradford	1	0.1%
US, Pennsylvania, Bucks, Castle Valley	1	0.1%
US, Pennsylvania, Bucks, New Britain	1	0.1%
US, Pennsylvania, Bucks, Sellersville	1	0.1%
US, Pennsylvania, Cameron, Shippen	1	0.1%
US, Pennsylvania, Centre	1	0.1%
US, Pennsylvania, Chester, Coatesville	1	0.1%
US, Pennsylvania, Chester, East Malboro	1	0.1%
US, Pennsylvania, Clarion, Highland	1	0.1%
US, Pennsylvania, Clarion, Sarah Furnace	1	0.1%
US, Pennsylvania, Columbia, Catawissa	1	0.1%
US, Pennsylvania, Cumberland	1	0.1%
US, Pennsylvania, Cumberland, Carlile	1	0.1%
US, Pennsylvania, Cumberland, Carlisle	1	0.1%
US, Pennsylvania, Cumberland, near Shiremanstown	1	0.1%
US, Pennsylvania, Dauphin, Harrisbug	1	0.1%
US, Pennsylvania, Dauphin, Middleton	1	0.1%
US, Pennsylvania, Delaware, Chester	1	0.1%
US, Pennsylvania, Delaware, Lower Providence Twp	1	0.1%
US, Pennsylvania, Delaware, Marcus Hook	1	0.1%
US, Pennsylvania, Delaware, Wayne	1	0.1%
US, Pennsylvania, Erie, North East	1	0.1%
US, Pennsylvania, Huntingdon, Neff's Mills	1	0.1%
US, Pennsylvania, Huntingdon, Oneida Twp, Donation	1	0.1%
US, Pennsylvania, Huntingdon, Walker Twp	1	0.1%
US, Pennsylvania, Huntingdon, Warriors Mark Twp	1	0.1%
US, Pennsylvania, Jefferson	1	0.1%
US, Pennsylvania, Juniata, Mexico	1	0.1%
US, Pennsylvania, Juniata, Port Royal	1	0.1%
US, Pennsylvania, Lancaster, Columbia	1	0.1%
US, Pennsylvania, Lancaster, Elizabethtown	1	0.1%
US, Pennsylvania, Lancaster, Little Washington	1	0.1%
US, Pennsylvania, Lancaster, Mount Joy	1	0.1%
US, Pennsylvania, Lebanon	1	0.1%
US, Pennsylvania, Lycoming	1	0.1%
US, Pennsylvania, Montgomery, Frederick Twp	1	0.1%
US, Pennsylvania, Montgomery, Fredrick Twp	1	0.1%
US, Pennsylvania, Montgomery, Horsham	1	0.1%
US, Pennsylvania, Montgomery, Upper Providence	1	0.1%
US, Pennsylvania, Northampton, Lower Saucon Township	1	0.1%
US, Pennsylvania, Perry, Duncannon	1	0.1%
US, Pennsylvania, Perry, Newport	1	0.1%
US, Pennsylvania, Philadelphia, Port Richmond	1	0.1%
US, Pennsylvania, Philadelphia, Roxborough	1	0.1%
US, Pennsylvania, Philadelphia, Spring Garden	1	0.1%
US, Pennsylvania, Schuylkill, Ringtown	1	0.1%
US, Pennsylvania, Schuylkill, Schuylkill Haven	1	0.1%
US, Pennsylvania, Schuylkill, Tamaqua	1	0.1%
US, Pennsylvania, Snyder, Freeburg	1	0.1%
US, Pennsylvania, Tioga, Wells Township	1	0.1%
US, Pennsylvania, Union	1	0.1%
US, Pennsylvania, Union, New Berlin	1	0.1%
US, Pennsylvania, Venango	1	0.1%
US, Pennsylvania, Washington	1	0.1%
US, Pennsylvania, Westmoreland, Youngwood	1	0.1%
US, Pennsylvania, York, Dover	1	0.1%
US, Pennsylvania, York, Warrington	1	0.1%
US, Pennsylvania, [unknown], Birmingham	1	0.1%
US, Pennsylvania, [unknown], Columbia	1	0.1%
US, Pennsylvania, [unknown], New Township	1	0.1%
US, South Carolina, Charleston	1	0.1%
US, Vermont	1	0.1%
US, Vermont, Rutland	1	0.1%
US, Virginia	1	0.1%
US, Virginia, Loudoun County	1	0.1%
US, Virginia, [unknown], Drummond	1	0.1%
US, Virginia, [unknown], Norfolk	1	0.1%
US, Washington, District of Columbia	1	0.1%
US, West Virginia, Monongalia	1	0.1%
Wurtemburg, Cardiff	1	0.1%

Birthplace

Bavaria	3	0.2%
Belgium	1	0.1%
Canada	13	0.7%
Canada, Halifax, Nova Scotia	2	0.1%
Canada, New Brunswick	1	0.1%
Canada, New Brunswick, St John	2	0.1%
Canada, Nova Scotia, Halifax	1	0.1%
Canada, Quebec	1	0.1%
Canada, St Bridget	1	0.1%
Canada, Toronto	1	0.1%
England	39	2.2%
England, Carlisle	1	0.1%
England, Cheltenham	1	0.1%
England, Chester	1	0.1%
England, Cumberland	1	0.1%
England, Devon, Plymouth, Charles the Martyr, Saltash St	1	0.1%
England, Dorset, Weymouth	1	0.1%
England, Dover	1	0.1%
England, Lancashire	5	0.3%
England, Lancaster	1	0.1%
England, Lanchisier	1	0.1%
England, Langford	1	0.1%
England, Lestershire	1	0.1%
England, Liverpool	2	0.1%
England, London	3	0.2%
England, Manchester	4	0.2%
England, Manchester County	1	0.1%
England, Molton	1	0.1%
England, Newcastle	1	0.1%
England, Northampton	1	0.1%
England, Sheffield	1	0.1%
England, Stafford County	1	0.1%
England, Staffordshire	1	0.1%
England, West Brommich	1	0.1%
England, Yorkshire	1	0.1%
England, Yorkshire County	1	0.1%
England, Yorkshire, Barnsley	1	0.1%
England, near Birmingham	1	0.1%
France	9	0.5%
France, Abershrice [?]	1	0.1%
France, Aix-la Chapelle	1	0.1%
France, Alsace	1	0.1%
France, Paris	2	0.1%
France, Passy	1	0.1%
France, Seine, Paris	1	0.1%
France, Strausborg	1	0.1%
Germany	69	3.9%
Germany, Allsburg	1	0.1%
Germany, Baden	2	0.1%
Germany, Bavaria	2	0.1%
Germany, Brun	1	0.1%
Germany, Holland	1	0.1%
Germany, Prussia	1	0.1%
Germany, Saxon	1	0.1%
Germany, Schurzburg	1	0.1%
Germany, Stoltest	1	0.1%
Germany, Trin	1	0.1%
Germany, Tyrol	1	0.1%
Germany, Wurtemburg	3	0.2%
Germany, Wurttemberg	1	0.1%
Ireland	165	9.4%
Ireland, Antrim	6	0.3%
Ireland, Antrim County	2	0.1%
Ireland, Armagh	3	0.2%
Ireland, Armaugh County	1	0.1%
Ireland, Balcastle	1	0.1%
Ireland, Bangdon	1	0.1%
Ireland, Belfast	4	0.2%
Ireland, Carlon	1	0.1%
Ireland, Cavanah	1	0.1%
Ireland, Cork	2	0.1%
Ireland, County Antrim	4	0.2%
Ireland, County Cork	1	0.1%
Ireland, County Tyrone	3	0.2%
Ireland, Denegahl	1	0.1%
Ireland, Denegall	1	0.1%
Ireland, Dengal County	1	0.1%
Ireland, Denigall	1	0.1%
Ireland, Denighal	3	0.2%
Ireland, Derry	10	0.6%
Ireland, Derry County	3	0.2%
Ireland, Devon	1	0.1%
Ireland, Donegal	8	0.5%
Ireland, Donnegall	1	0.1%
Ireland, Doug County	1	0.1%
Ireland, Down	1	0.1%
Ireland, Down County	1	0.1%
Ireland, Dublin	9	0.5%
Ireland, Entrim	1	0.1%
Ireland, Fermana	1	0.1%
Ireland, Galway	2	0.1%
Ireland, Gerglasuen	2	0.1%
Ireland, Kilkenny	1	0.1%
Ireland, Lathvan	1	0.1%
Ireland, Limerick	1	0.1%
Ireland, Londenderry	1	0.1%
Ireland, Londonderry	3	0.2%
Ireland, Louth	1	0.1%
Ireland, Lurgan	1	0.1%
Ireland, Madeira	1	0.1%
Ireland, Marion	1	0.1%
Ireland, Melton	1	0.1%
Ireland, Monaghan	1	0.1%
Ireland, Monchen	1	0.1%
Ireland, Munster	1	0.1%
Ireland, Newburgh	1	0.1%
Ireland, Tipperary	1	0.1%
Ireland, Tirone	2	0.1%
Ireland, Tirone County	2	0.1%
Ireland, Tyrone	9	0.5%
Ireland, Tyrone County	2	0.1%
Ireland, Warford	1	0.1%
Ireland, Wastemich [?]	1	0.1%
Ireland, Waterford	2	0.1%
Ireland, [unknown], County Tyrone	1	0.1%
Malta	1	0.1%
Poland	1	0.1%
Prussia	6	0.3%
Saxony	1	0.1%
Scotland	17	1.0%
Scotland, Ayrshire	1	0.1%
Scotland, Ferth	1	0.1%
Scotland, Glasgow	1	0.1%
Scotland, Lanarkshire	1	0.1%
Scotland, Paisely	1	0.1%
Scotland, Pasely	1	0.1%
Spain	2	0.1%
Switzerland	7	0.4%
US, Connecticut	1	0.1%
US, Connecticut, Hartford	1	0.1%
US, Connecticut, Hartford, East Hartford	1	0.1%
US, Connecticut, Hartford, ThomsonVille	1	0.1%
US, Connecticut, New Haven	1	0.1%
US, Delaware	4	0.2%
US, Delaware, Christianna, Wilmington	1	0.1%
US, Delaware, Essex	1	0.1%
US, Delaware, Milton	1	0.1%
US, Delaware, New Castle	3	0.2%
US, Delaware, New Castle, Red Lion Twp	1	0.1%
US, Delaware, New Castle, Wilmington	3	0.2%
US, Delaware, Newcastle	1	0.1%
US, Delaware, Newcastle, Port Penn	1	0.1%
US, Delaware, Sussex, Georgetown	1	0.1%
US, Delaware, Sussex, Georgetown [?]	1	0.1%
US, Delaware, [unknown], Lewistown	1	0.1%
US, Delaware, [unknown], Whitely [?] Creek	1	0.1%
US, Georgia	2	0.1%
US, Illinois	1	0.1%
US, Indiana	1	0.1%
US, Indiana, Floyd, New Albany	1	0.1%
US, Kentucky, Clay County	1	0.1%
US, Maine, Cumberland	1	0.1%
US, Maine, Kennebec, Augusta	1	0.1%
US, Maine, Portland	1	0.1%
US, Maine, York, Parsonfield	1	0.1%
US, Maryland	7	0.4%
US, Maryland, Allegany	1	0.1%
US, Maryland, Baltimore	10	0.6%
US, Maryland, Cecil	2	0.1%
US, Maryland, Dochester	1	0.1%
US, Maryland, Prince George	1	0.1%
US, Maryland, Talbot Cty	1	0.1%
US, Maryland, Washington County, Smithsburg	1	0.1%
US, Maryland, Washington Cty	1	0.1%
US, Massachusetts, Cambridge	1	0.1%
US, Massachusetts, Charleston	1	0.1%
US, Massachusetts, Essex, Danvers	1	0.1%
US, Massachusetts, Hampden, Holland	1	0.1%
US, Massachusetts, Marblehead	1	0.1%
US, Massachusetts, Suffolk, Boston	5	0.3%
US, New Jersey	8	0.5%
US, New Jersey, Atlantic, Atlantic City	1	0.1%
US, New Jersey, Burlington	5	0.3%
US, New Jersey, Burlington, Medford	2	0.1%
US, New Jersey, Camden	2	0.1%
US, New Jersey, Camden, Camden	3	0.2%
US, New Jersey, Camden, Haddonfield	1	0.1%
US, New Jersey, Camden, Waterford	1	0.1%
US, New Jersey, Cape May	1	0.1%
US, New Jersey, Cumberland, Millville	2	0.1%
US, New Jersey, Cumberland, Port Elizabeth	1	0.1%
US, New Jersey, Gloucester	1	0.1%
US, New Jersey, Gloucester, Blackwood	1	0.1%
US, New Jersey, Mercer, Trenton	2	0.1%
US, New Jersey, Mercer, near Trenton	1	0.1%
US, New Jersey, Monmouth	1	0.1%
US, New Jersey, Passaic, Patterson	1	0.1%
US, New Jersey, Salem	4	0.2%
US, New Jersey, Warren	1	0.1%
US, New Jersey, [unknown], Amley	1	0.1%
US, New York	18	1.0%
US, New York, Albany	2	0.1%
US, New York, Alegheny	1	0.1%
US, New York, Columbia, Hudson	1	0.1%
US, New York, Dutchess County	1	0.1%
US, New York, Madison, Oneida	1	0.1%
US, New York, Montgomery, Amsterdam	1	0.1%
US, New York, NY, Brooklyn	1	0.1%
US, New York, New York	10	0.6%
US, New York, Oneida, Utica	1	0.1%
US, New York, Oneida, Vienna	1	0.1%
US, New York, Ontario, Canandaigua	1	0.1%
US, New York, Oswego	1	0.1%
US, New York, Otsego	1	0.1%
US, New York, Rensselaer County, Sand Lake	1	0.1%
US, New York, Rochester	1	0.1%
US, New York, West Chester	1	0.1%
US, New York, Wyoming, Wethersfield Springs	1	0.1%
US, New York, [unknown], Lanohill [?]	1	0.1%
US, New York, [unknown], Otugo	1	0.1%
US, North Carolina, Craven, Newburn	1	0.1%
US, Ohio	1	0.1%
US, Ohio, Cincinnati	1	0.1%
US, Ohio, Pickaway	1	0.1%
US, Ohio, Washington	1	0.1%
US, Ohio, Wyoming	1	0.1%
US, Ohio, [unknown], Cicle [??]	1	0.1%
US, Pennsylvania	153	8.7%
US, Pennsylvania, Adams	30	1.7%
US, Pennsylvania, Adams, Franklin Twp, Cashtown	1	0.1%
US, Pennsylvania, Adams, Huntington Twp	1	0.1%
US, Pennsylvania, Adams, Irishtown	1	0.1%
US, Pennsylvania, Adams, Liberty Twp	1	0.1%
US, Pennsylvania, Adams, Littlestown	1	0.1%
US, Pennsylvania, Adams, Menallen	1	0.1%
US, Pennsylvania, Adams, Menallen Twp	1	0.1%
US, Pennsylvania, Adams, York Springs	2	0.1%
US, Pennsylvania, Adams, near Heidlersburg	1	0.1%
US, Pennsylvania, Allegheny	3	0.2%
US, Pennsylvania, Allegheny, Allegheny City	1	0.1%
US, Pennsylvania, Allegheny, Elizabeth	1	0.1%
US, Pennsylvania, Allegheny, Pittsburgh	3	0.2%
US, Pennsylvania, Armstrong	4	0.2%
US, Pennsylvania, Armstrong, Perry Twp	1	0.1%
US, Pennsylvania, Beaver	1	0.1%
US, Pennsylvania, Bedford	50	2.9%
US, Pennsylvania, Bedford, Bean's Cove	1	0.1%
US, Pennsylvania, Bedford, Black Valley	1	0.1%
US, Pennsylvania, Bedford, Elbinsville	1	0.1%
US, Pennsylvania, Bedford, Lincoln Township	1	0.1%
US, Pennsylvania, Bedford, Pavia	1	0.1%
US, Pennsylvania, Bedford, Saint Clair	1	0.1%
US, Pennsylvania, Bedford, Schellsburg	1	0.1%
US, Pennsylvania, Bedford, Southampton Township	1	0.1%
US, Pennsylvania, Bedford, Southampton Twp	2	0.1%
US, Pennsylvania, Bedford, St Clair Township	1	0.1%
US, Pennsylvania, Bedford, West Providence	1	0.1%
US, Pennsylvania, Berks	8	0.5%
US, Pennsylvania, Berks, Pike Twp	1	0.1%
US, Pennsylvania, Berks, Reading	2	0.1%
US, Pennsylvania, Blair	2	0.1%
US, Pennsylvania, Blair, Hollidaysburg	3	0.2%
US, Pennsylvania, Blair, North Woodbury Twp	1	0.1%
US, Pennsylvania, Blair, Sinking Valley	1	0.1%
US, Pennsylvania, Bradford	1	0.1%
US, Pennsylvania, Bucks	11	0.6%
US, Pennsylvania, Bucks, Bristol	3	0.2%
US, Pennsylvania, Bucks, Castle Valley	1	0.1%
US, Pennsylvania, Bucks, New Britain	1	0.1%
US, Pennsylvania, Bucks, Sellersville	1	0.1%
US, Pennsylvania, Butler	2	0.1%
US, Pennsylvania, Cambria	4	0.2%
US, Pennsylvania, Cameron, Shippen	1	0.1%
US, Pennsylvania, Carbon, Mauch Chunk	2	0.1%
US, Pennsylvania, Centre	1	0.1%
US, Pennsylvania, Centre, Bellefonte	2	0.1%
US, Pennsylvania, Chester	16	0.9%
US, Pennsylvania, Chester, Coatesville	1	0.1%
US, Pennsylvania, Chester, East Malboro	1	0.1%
US, Pennsylvania, Chester, West Chester	2	0.1%
US, Pennsylvania, Clarion, Highland	1	0.1%
US, Pennsylvania, Clarion, Sarah Furnace	1	0.1%
US, Pennsylvania, Clearfield	2	0.1%
US, Pennsylvania, Columbia, Catawissa	1	0.1%
US, Pennsylvania, Cumberland	1	0.1%
US, Pennsylvania, Cumberland, Carlile	1	0.1%
US, Pennsylvania, Cumberland, Carlisle	1	0.1%
US, Pennsylvania, Cumberland, near Shiremanstown	1	0.1%
US, Pennsylvania, Dauphin	5	0.3%
US, Pennsylvania, Dauphin, Harrisbug	1	0.1%
US, Pennsylvania, Dauphin, Harrisburg	3	0.2%
US, Pennsylvania, Dauphin, Middleton	1	0.1%
US, Pennsylvania, Delaware	9	0.5%
US, Pennsylvania, Delaware, Chester	1	0.1%
US, Pennsylvania, Delaware, Lower Providence Twp	1	0.1%
US, Pennsylvania, Delaware, Marcus Hook	1	0.1%
US, Pennsylvania, Delaware, Wayne	1	0.1%
US, Pennsylvania, Erie, North East	1	0.1%
US, Pennsylvania, Franklin	3	0.2%
US, Pennsylvania, Huntingdon	3	0.2%
US, Pennsylvania, Huntingdon, Hopewell Twp	2	0.1%
US, Pennsylvania, Huntingdon, Neff's Mills	1	0.1%
US, Pennsylvania, Huntingdon, Oneida Twp, Donation	1	0.1%
US, Pennsylvania, Huntingdon, Walker Twp	1	0.1%
US, Pennsylvania, Huntingdon, Warrior's Mark	2	0.1%
US, Pennsylvania, Huntingdon, Warriors Mark Twp	1	0.1%
US, Pennsylvania, Indiana	2	0.1%
US, Pennsylvania, Jefferson	1	0.1%
US, Pennsylvania, Juniata	2	0.1%
US, Pennsylvania, Juniata, Mexico	1	0.1%
US, Pennsylvania, Juniata, Port Royal	1	0.1%
US, Pennsylvania, Lancaster	11	0.6%
US, Pennsylvania, Lancaster, Columbia	1	0.1%
US, Pennsylvania, Lancaster, Elizabethtown	1	0.1%
US, Pennsylvania, Lancaster, Little Washington	1	0.1%
US, Pennsylvania, Lancaster, Mount Joy	1	0.1%
US, Pennsylvania, Lebanon	1	0.1%
US, Pennsylvania, Lycoming	1	0.1%
US, Pennsylvania, Monroe	3	0.2%
US, Pennsylvania, Montgomery	13	0.7%
US, Pennsylvania, Montgomery, Frederick Twp	1	0.1%
US, Pennsylvania, Montgomery, Fredrick Twp	1	0.1%
US, Pennsylvania, Montgomery, Horsham	1	0.1%
US, Pennsylvania, Montgomery, Norristown	3	0.2%
US, Pennsylvania, Montgomery, Upper Providence	1	0.1%
US, Pennsylvania, Montour	2	0.1%
US, Pennsylvania, Northampton, Easton	5	0.3%
US, Pennsylvania, Northampton, Lower Saucon Township	1	0.1%
US, Pennsylvania, Northumberland	6	0.3%
US, Pennsylvania, Northumberland, Milton	13	0.7%
US, Pennsylvania, Perry, Duncannon	1	0.1%
US, Pennsylvania, Perry, Newport	1	0.1%
US, Pennsylvania, Philadelphia	556	31.7%
US, Pennsylvania, Philadelphia, Port Richmond	1	0.1%
US, Pennsylvania, Philadelphia, Roxborough	1	0.1%
US, Pennsylvania, Philadelphia, Spring Garden	1	0.1%
US, Pennsylvania, Schuylkill, Pine Grove	2	0.1%
US, Pennsylvania, Schuylkill, Pottsville	2	0.1%
US, Pennsylvania, Schuylkill, Ringtown	1	0.1%
US, Pennsylvania, Schuylkill, Schuylkill Haven	1	0.1%
US, Pennsylvania, Schuylkill, Tamaqua	1	0.1%
US, Pennsylvania, Snyder, Freeburg	1	0.1%
US, Pennsylvania, Somerset	3	0.2%
US, Pennsylvania, Tioga, Wells Township	1	0.1%
US, Pennsylvania, Union	1	0.1%
US, Pennsylvania, Union, New Berlin	1	0.1%
US, Pennsylvania, Venango	1	0.1%
US, Pennsylvania, Washington	1	0.1%
US, Pennsylvania, Westmoreland, Youngwood	1	0.1%
US, Pennsylvania, York	5	0.3%
US, Pennsylvania, York, Dover	1	0.1%
US, Pennsylvania, York, Warrington	1	0.1%
US, Pennsylvania, [unknown], Birmingham	1	0.1%
US, Pennsylvania, [unknown], Columbia	1	0.1%
US, Pennsylvania, [unknown], New Township	1	0.1%
US, South Carolina, Charleston	1	0.1%
US, Vermont	1	0.1%
US, Vermont, Rutland	1	0.1%
US, Virginia	1	0.1%
US, Virginia, Loudoun County	1	0.1%
US, Virginia, [unknown], Drummond	1	0.1%
US, Virginia, [unknown], Norfolk	1	0.1%
US, Washington, District of Columbia	1	0.1%
US, West Virginia, Monongalia	1	0.1%
Wales	4	0.2%
Wurtemburg	3	0.2%
Wurtemburg, Cardiff	1	0.1%
[unknown]	308	%

Birth country, from regimental records, in frequency order

US	1112	68.9%
[unknown]	446	%
Ireland	262	16.2%
Germany	81	5.0%
England	73	4.5%
Canada	23	1.4%
Scotland	21	1.3%
France	16	1.0%
Switzerland	7	0.4%
Prussia	6	0.4%
Bavaria	3	0.2%
Wales	3	0.2%
Spain	2	0.1%
Wurtemburg	2	0.1%
Belgium	1	0.1%
Jamaica	1	0.1%
Malta	1	0.1%
Poland	1	0.1%

Birth country, from regimental records, supplemented with others

US	1288	70.3%
Ireland	286	15.6%
[unknown]	229	%
Germany	88	4.8%
England	77	4.2%
Scotland	23	1.3%
Canada	22	1.2%
France	17	0.9%
Switzerland	7	0.4%
Prussia	6	0.3%
Wales	4	0.2%
Wurtemburg	4	0.2%
Bavaria	3	0.2%
Spain	2	0.1%
Belgium	1	0.1%
Malta	1	0.1%
Poland	1	0.1%
Saxon-Meiningen	1	0.1%
Saxony	1	0.1%

Birth country

Bavaria	3	0.2%
Belgium	1	0.1%
Canada	23	1.4%
England	73	4.5%
France	16	1.0%
Germany	81	5.0%
Ireland	262	16.2%
Jamaica	1	0.1%
Malta	1	0.1%
Poland	1	0.1%
Prussia	6	0.4%
Scotland	21	1.3%
Spain	2	0.1%
Switzerland	7	0.4%
US	1112	68.9%
Wales	3	0.2%
Wurtemburg	2	0.1%
[unknown]	446	%

Birth country, by volunteer status

	[unknown]	draftee	substitute	volunteer	total
Bavaria	0 (0.0)	0 (0.46)	3 (0.47)	0 (2.07)	3
Belgium	0 (0.0)	0 (0.15)	1 (0.16)	0 (0.69)	1
Canada	0 (0.03)	1 (3.5)	16 (3.57)	6 (15.89)	23
England	0 (0.11)	2 (11.12)	29 (11.33)	42 (50.44)	73
France	1 (0.02)	1 (2.44)	4 (2.48)	10 (11.05)	16
Germany	0 (0.12)	13 (12.34)	43 (12.58)	25 (55.97)	81
Ireland	0 (0.38)	8 (39.92)	59 (40.68)	195 (181.02)	262
Jamaica	0 (0.0)	0 (0.15)	0 (0.16)	1 (0.69)	1
Malta	0 (0.0)	0 (0.15)	0 (0.16)	1 (0.69)	1
Poland	0 (0.0)	0 (0.15)	1 (0.16)	0 (0.69)	1
Prussia	0 (0.01)	0 (0.91)	6 (0.93)	0 (4.15)	6
Scotland	0 (0.03)	1 (3.2)	4 (3.26)	16 (14.51)	21
Spain	0 (0.0)	0 (0.3)	0 (0.31)	2 (1.38)	2
Switzerland	0 (0.01)	1 (1.07)	6 (1.09)	0 (4.84)	7
US	0 (1.62)	187 (169.42)	118 (172.65)	807 (768.31)	1112
Wales	0 (0.0)	0 (0.46)	1 (0.47)	2 (2.07)	3
Wurtemburg	0 (0.0)	0 (0.3)	0 (0.31)	2 (1.38)	2
[unknown]	2 (0.65)	100 (67.95)	29 (69.25)	315 (308.15)	446
total	3	314	320	1424	2061

chi square wasn't calculated because 54 expected values were less than 5

Birth country, by occupation class

	Artisans	Manual laborers	Not in labor force	Professionals and large proprietors	Semi-professionals and smaller proprietors	Service and semi-skilled workers	[unknown]	unknown class	total
Bavaria	1 (0.62)	2 (0.61)	0 (0.01)	0 (0.02)	0 (0.55)	0 (0.16)	0 (0.94)	0 (0.09)	3
Belgium	0 (0.21)	0 (0.2)	0 (0.0)	0 (0.01)	1 (0.18)	0 (0.05)	0 (0.31)	0 (0.03)	1
Canada	6 (4.78)	7 (4.64)	0 (0.04)	0 (0.18)	6 (4.25)	3 (1.19)	1 (7.23)	0 (0.68)	23
England	21 (15.16)	24 (14.73)	0 (0.14)	0 (0.57)	6 (13.49)	8 (3.79)	10 (22.95)	4 (2.16)	73
France	5 (3.32)	3 (3.23)	0 (0.03)	2 (0.12)	2 (2.96)	1 (0.83)	2 (5.03)	1 (0.47)	16
Germany	28 (16.82)	23 (16.35)	0 (0.16)	1 (0.63)	17 (14.97)	1 (4.21)	8 (25.47)	3 (2.4)	81
Ireland	44 (54.41)	129 (52.88)	1 (0.51)	1 (2.03)	28 (48.43)	20 (13.6)	35 (82.38)	4 (7.75)	262
Jamaica	0 (0.21)	0 (0.2)	0 (0.0)	0 (0.01)	0 (0.18)	0 (0.05)	1 (0.31)	0 (0.03)	1
Malta	1 (0.21)	0 (0.2)	0 (0.0)	0 (0.01)	0 (0.18)	0 (0.05)	0 (0.31)	0 (0.03)	1
Poland	0 (0.21)	0 (0.2)	0 (0.0)	0 (0.01)	0 (0.18)	0 (0.05)	1 (0.31)	0 (0.03)	1
Prussia	3 (1.25)	1 (1.21)	0 (0.01)	0 (0.05)	1 (1.11)	0 (0.31)	1 (1.89)	0 (0.18)	6
Scotland	5 (4.36)	4 (4.24)	0 (0.04)	0 (0.16)	3 (3.88)	1 (1.09)	8 (6.6)	0 (0.62)	21
Spain	0 (0.42)	1 (0.4)	0 (0.0)	0 (0.02)	0 (0.37)	1 (0.1)	0 (0.63)	0 (0.06)	2
Switzerland	1 (1.45)	1 (1.41)	0 (0.01)	0 (0.05)	2 (1.29)	1 (0.36)	2 (2.2)	0 (0.21)	7
US	296 (230.92)	217 (224.45)	3 (2.16)	12 (8.63)	309 (205.57)	70 (57.73)	158 (349.62)	47 (32.91)	1112
Wales	2 (0.62)	0 (0.61)	0 (0.01)	0 (0.02)	0 (0.55)	0 (0.16)	1 (0.94)	0 (0.09)	3
Wurtemburg	1 (0.42)	0 (0.4)	0 (0.0)	0 (0.02)	0 (0.37)	0 (0.1)	1 (0.63)	0 (0.06)	2
[unknown]	14 (92.62)	4 (90.02)	0 (0.87)	0 (3.46)	6 (82.45)	1 (23.15)	419 (140.23)	2 (13.2)	446
total	428	416	4	16	381	107	648	61	2061

chi square wasn't calculated because 114 expected values were less than 5

Birth country, by HISCO major class

	[unknown]	administrative and managerial workers	agricultural, animal husbandry and forestry workers, fisherman, and hunters	clerical and related workers	not in work force	production and related workers, transport equipment operators, and laborers	professional, technical, and related workers	sales workers	service workers	total
Bavaria	0 (0.97)	0 (0.0)	0 (0.3)	0 (0.12)	0 (0.01)	3 (1.52)	0 (0.01)	0 (0.05)	0 (0.02)	3
Belgium	0 (0.32)	0 (0.0)	0 (0.1)	1 (0.04)	0 (0.0)	0 (0.51)	0 (0.0)	0 (0.02)	0 (0.01)	1
Canada	2 (7.4)	0 (0.01)	3 (2.31)	0 (0.94)	0 (0.04)	18 (11.62)	0 (0.11)	0 (0.39)	0 (0.18)	23
England	11 (23.48)	0 (0.04)	3 (7.33)	3 (2.98)	0 (0.14)	55 (36.87)	0 (0.35)	0 (1.24)	1 (0.57)	73
France	2 (5.15)	0 (0.01)	1 (1.61)	1 (0.65)	0 (0.03)	9 (8.08)	1 (0.08)	1 (0.27)	1 (0.12)	16
Germany	9 (26.06)	0 (0.04)	8 (8.14)	1 (3.3)	0 (0.16)	57 (40.91)	0 (0.39)	3 (1.38)	3 (0.63)	81
Ireland	37 (84.28)	0 (0.13)	19 (26.31)	4 (10.68)	1 (0.51)	195 (132.33)	0 (1.27)	4 (4.45)	2 (2.03)	262
Jamaica	1 (0.32)	0 (0.0)	0 (0.1)	0 (0.04)	0 (0.0)	0 (0.51)	0 (0.0)	0 (0.02)	0 (0.01)	1
Malta	0 (0.32)	0 (0.0)	0 (0.1)	0 (0.04)	0 (0.0)	1 (0.51)	0 (0.0)	0 (0.02)	0 (0.01)	1
Poland	1 (0.32)	0 (0.0)	0 (0.1)	0 (0.04)	0 (0.0)	0 (0.51)	0 (0.0)	0 (0.02)	0 (0.01)	1
Prussia	1 (1.93)	0 (0.0)	0 (0.6)	0 (0.24)	0 (0.01)	5 (3.03)	0 (0.03)	0 (0.1)	0 (0.05)	6
Scotland	8 (6.76)	0 (0.01)	0 (2.11)	0 (0.86)	0 (0.04)	13 (10.61)	0 (0.1)	0 (0.36)	0 (0.16)	21
Spain	0 (0.64)	0 (0.0)	0 (0.2)	0 (0.08)	0 (0.0)	2 (1.01)	0 (0.01)	0 (0.03)	0 (0.02)	2
Switzerland	2 (2.25)	0 (0.0)	1 (0.7)	1 (0.29)	0 (0.01)	3 (3.54)	0 (0.03)	0 (0.12)	0 (0.05)	7
US	167 (357.72)	1 (0.54)	169 (111.69)	72 (45.32)	3 (2.16)	655 (561.67)	9 (5.4)	27 (18.88)	9 (8.63)	1112
Wales	1 (0.97)	0 (0.0)	0 (0.3)	0 (0.12)	0 (0.01)	2 (1.52)	0 (0.01)	0 (0.05)	0 (0.02)	3
Wurtemburg	1 (0.64)	0 (0.0)	0 (0.2)	0 (0.08)	0 (0.0)	1 (1.01)	0 (0.01)	0 (0.03)	0 (0.02)	2
[unknown]	420 (143.47)	0 (0.22)	3 (44.79)	1 (18.18)	0 (0.87)	22 (225.27)	0 (2.16)	0 (7.57)	0 (3.46)	446
total	663	1	207	84	4	1041	10	35	16	2061

chi square wasn't calculated because 134 expected values were less than 5

Born in US, by occupation class

	US	not US	total
Artisans	296 (230.92)	132 (197.08)	428
Manual laborers	217 (224.45)	199 (191.55)	416
Not in labor force	3 (2.16)	1 (1.84)	4
Professionals and large proprietors	12 (8.63)	4 (7.37)	16
Semi-professionals and smaller proprietors	309 (205.57)	72 (175.43)	381
Service and semi-skilled workers	70 (57.73)	37 (49.27)	107
[unknown]	158 (349.62)	490 (298.38)	648
unknown class	47 (32.91)	14 (28.09)	61
total	1112	949	2061

values in parentheses are expected values
degrees of freedom: 7
chi-square: 403.8
p < 5.0E-4
Cramer's V: 0.44

Born in US, by HISCO major class

	US	not US	total
[unknown]	167 (357.72)	496 (305.28)	663
administrative and managerial workers	1 (0.54)	0 (0.46)	1
agricultural, animal husbandry and forestry workers, fisherman, and hunters	169 (111.69)	38 (95.31)	207
clerical and related workers	72 (45.32)	12 (38.68)	84
not in work force	3 (2.16)	1 (1.84)	4
production and related workers, transport equipment operators, and laborers	655 (561.67)	386 (479.33)	1041
professional, technical, and related workers	9 (5.4)	1 (4.6)	10
sales workers	27 (18.88)	8 (16.12)	35
service workers	9 (8.63)	7 (7.37)	16
total	1112	949	2061

chi square wasn't calculated because 5 expected values were less than 5

Born in US, by whether they started as commissioned officers

	did not start as commissioned officer	started as commissioned officer	total
US	1105 (1095.27)	7 (16.73)	1112
not US	925 (934.73)	24 (14.27)	949
total	2030	31	2061

values in parentheses are expected values
degrees of freedom: 1
chi-square: 12.48
p < 5.0E-4
Cramer's V: 0.08

Born in US, by whether they ended as commissioned officers

	did not end as commissioned officer	ended as commissioned officer	total
US	1073 (1069.38)	39 (42.62)	1112
not US	909 (912.62)	40 (36.38)	949
total	1982	79	2061

values in parentheses are expected values
degrees of freedom: 1
chi-square: 0.69
p > 0.25
Cramer's V: 0.02

Born in US (regimental records + others), by whether they started as commissioned officers

	did not start as commissioned officer	started as commissioned officer	total
born in US	1261 (1268.63)	27 (19.37)	1288
not born in US	769 (761.37)	4 (11.63)	773
total	2030	31	2061

values in parentheses are expected values
degrees of freedom: 1
chi-square: 8.13
p < 0.005
Cramer's V: 0.06

Born in US (regimental records + others), by whether they ended as commissioned officers

	did not end as commissioned officer	ended as commissioned officer	total
born in US	1219 (1238.63)	69 (49.37)	1288
not born in US	763 (743.37)	10 (29.63)	773
total	1982	79	2061

values in parentheses are expected values
degrees of freedom: 1
chi-square: 21.64
p < 5.0E-4
Cramer's V: 0.1

Birth country for men starting as commissioned officers

Germany	1	3.3%
Ireland	2	6.7%
US	27	90.0%
[unknown]	1	%

Birth country for men ending as commissioned officers

Germany	2	2.6%
Ireland	6	7.7%
Scotland	1	1.3%
US	69	88.5%
[unknown]	1	%

Number of census entries found

0	876	42.5%
1	314	15.2%
10	1	0.0%
2	172	8.3%
3	122	5.9%
4	148	7.2%
5	137	6.6%
6	101	4.9%
7	95	4.6%
8	74	3.6%
9	21	1.0%

Number of census entries checked (whether or not found)

0	615	29.8%
1	411	19.9%
10	161	7.8%
2	139	6.7%
3	84	4.1%
4	81	3.9%
5	64	3.1%
6	39	1.9%
7	31	1.5%
8	9	0.4%
9	427	20.7%

Number of census entries found, by whether original member

	not original member	original member	total
0	465 (490.07)	411 (385.93)	876
1	157 (175.66)	157 (138.34)	314
10	1 (0.56)	0 (0.44)	1
2	88 (96.22)	84 (75.78)	172
3	66 (68.25)	56 (53.75)	122
4	87 (82.8)	61 (65.2)	148
5	84 (76.64)	53 (60.36)	137
6	67 (56.5)	34 (44.5)	101
7	67 (53.15)	28 (41.85)	95
8	54 (41.4)	20 (32.6)	74
9	17 (11.75)	4 (9.25)	21
total	1153	908	2061

values in parentheses are expected values
degrees of freedom: 10
chi-square: 38.7
p < 5.0E-4
Cramer's V: 0.14

Found census entries, by census

	1850	1860	1870	1880	1890	1900	1910	1920	1930	1940
can't identify	48 (2.3%)	40 (1.9%)	32 (1.6%)	30 (1.5%)	7 (0.3%)	29 (1.4%)	25 (1.2%)	19 (0.9%)	13 (0.6%)	2 (0.1%)
found	501 (24.3%)	621 (30.1%)	630 (30.6%)	698 (33.9%)	693 (33.6%)	523 (25.4%)	392 (19.0%)	228 (11.1%)	68 (3.3%)	9 (0.4%)
not checked	1361 (66.0%)	1265 (61.4%)	1250 (60.7%)	1180 (57.3%)	686 (33.3%)	1269 (61.6%)	1330 (64.5%)	1397 (67.8%)	1414 (68.6%)	1897 (92.0%)
not found	151 (7.3%)	135 (6.6%)	149 (7.2%)	153 (7.4%)	675 (32.8%)	240 (11.6%)	314 (15.2%)	417 (20.2%)	566 (27.5%)	153 (7.4%)

Person found in census, by census

	1850	1860	1870	1880	1890	1900	1910	1920	1930	1940
can't identify	48 (9.6%)	40 (6.4%)	32 (5.1%)	30 (4.3%)	7 (1.0%)	29 (5.5%)	25 (6.4%)	19 (8.3%)	13 (19.1%)	2 (22.2%)
census not found	151	135	149	153	675	240	314	417	566	153
not checked	1361	1265	1250	1180	686	1269	1330	1397	1414	1897
soldier	501 (100.0%)	621 (100.0%)	561 (89.0%)	614 (88.0%)	597 (86.1%)	416 (79.5%)	253 (64.5%)	101 (44.3%)	20 (29.4%)	1 (11.1%)
widow			69 (11.0%)	84 (12.0%)	96 (13.9%)	107 (20.5%)	139 (35.5%)	127 (55.7%)	48 (70.6%)	8 (88.9%)

Occupation in census, by census

	1850	1860	enlistment	1870	1880	1890	1900	1910	1920	1930	1940
			645 (31.3%)
Clergyman Meth	1 (0.2%)
M.E. Minister		1 (0.2%)
MD		1 (0.2%)
Meth E clergyman		1 (0.2%)
NG							1 (0.2%)
PO clerk				1 (0.2%)
Pass R R conductor					1 (0.1%)
R R freight line					1 (0.1%)
US Marshal for the Eastern District of Pennsylvania				1 (0.2%)
US Mint							1 (0.2%)
US watchman				1 (0.2%)
[blank; probably none]	319 (63.7%)	142 (22.9%)		98 (15.6%)	90 (12.9%)		141 (27.0%)	152 (38.8%)	132 (57.9%)	48 (70.6%)	9 (100.0%)
[illegible]					1 (0.1%)		2 (0.4%)	2 (0.5%)	1 (0.4%)
[illegible] roads foreman							1 (0.2%)
[stationary] engineer					1 (0.1%)		1 (0.2%)
[unknown]						592
acting assistant surgeon					1 (0.1%)
agent			1 (0.0%)			1 (1.0%)
agt bureau character [?]							1 (0.2%)
agt of the PPCA					1 (0.1%)
announcer [?]										1 (1.5%)
app blacksmith		1 (0.2%)
app steel polisher		1 (0.2%)
app to bookbinder		1 (0.2%)
app to milling		1 (0.2%)
app to tinsmith		1 (0.2%)
app wheelwright		1 (0.2%)
apprentice		2 (0.3%)
apprentice brass founder		1 (0.2%)
apprentice morocco dresser		1 (0.2%)
apprentice painter		1 (0.2%)
apprentice to blacksmith		1 (0.2%)
artificial tooth maker				1 (0.2%)
at home					2 (0.3%)
at school				1 (0.2%)
at work					1 (0.1%)
attends gas meters				1 (0.2%)
attorney							1 (0.2%)
attorney at law				1 (0.2%)	1 (0.1%)
axemaker			1 (0.0%)
baggage maker							1 (0.2%)
baker		3 (0.5%)	16 (0.8%)	3 (0.5%)	2 (0.3%)		1 (0.2%)
bank clerk				1 (0.2%)				1 (0.3%)
bar keeper		1 (0.2%)	1 (0.0%)
barber		1 (0.2%)		1 (0.2%)	1 (0.1%)
barber [?]				1 (0.2%)
barman			1 (0.0%)
bartender		1 (0.2%)			1 (0.1%)	1 (1.0%)	1 (0.2%)
basket manufacturer		1 (0.2%)
basketmaker	1 (0.2%)	1 (0.2%)	3 (0.1%)		1 (0.1%)
beamer					1 (0.1%)		1 (0.2%)
beer saloon				1 (0.2%)
blacksmith	2 (0.4%)	8 (1.3%)	20 (1.0%)	9 (1.4%)	9 (1.3%)	1 (1.0%)	4 (0.8%)	2 (0.5%)
blacksmith app		1 (0.2%)
blacksmith helper					1 (0.1%)
blacksmith--machine								1 (0.3%)
blind maker			1 (0.0%)
boarding house proprieter								1 (0.3%)
boat builder		1 (0.2%)	1 (0.0%)		1 (0.1%)
boating on canal				1 (0.2%)
boatman		3 (0.5%)	34 (1.6%)	1 (0.2%)	1 (0.1%)
boilermaker		1 (0.2%)	1 (0.0%)		2 (0.3%)	1 (1.0%)	2 (0.4%)
boltmaker					1 (0.1%)	1 (1.0%)		1 (0.3%)
bonnet presser	1 (0.2%)		1 (0.0%)
bonnetboard maker			1 (0.0%)
book finisher			1 (0.0%)
book store		1 (0.2%)
bookbinder		3 (0.5%)	8 (0.4%)	3 (0.5%)	1 (0.1%)		1 (0.2%)	1 (0.3%)
bookbinder apprentice		1 (0.2%)
bookkeeper		2 (0.3%)	2 (0.1%)		3 (0.4%)	2 (2.0%)	2 (0.4%)	1 (0.3%)	1 (0.4%)
bookkeeper at a bank								1 (0.3%)
boot fitter			1 (0.0%)
bootfitter		1 (0.2%)	1 (0.0%)
bootmaker			2 (0.1%)
bottler			3 (0.1%)
bottler (beer)							1 (0.2%)
boxmaker			2 (0.1%)
brakeman			1 (0.0%)			1 (1.0%)
brakeman on car				1 (0.2%)
brakeman r.r.					1 (0.1%)
brass finisher				1 (0.2%)
brass founder	1 (0.2%)
brass moulder		1 (0.2%)	1 (0.0%)
brass turner			2 (0.1%)
breakman			1 (0.0%)
brewer			1 (0.0%)
bricklayer	3 (0.6%)	4 (0.6%)	12 (0.6%)	3 (0.5%)	5 (0.7%)	1 (1.0%)	1 (0.2%)
brickmaker	3 (0.6%)	6 (1.0%)	11 (0.5%)	6 (1.0%)	3 (0.4%)		3 (0.6%)
brickmaker [?]		1 (0.2%)
brickmason				2 (0.3%)	2 (0.3%)
brickmoulder			2 (0.1%)
bricks						1 (1.0%)
brickyard boy		2 (0.3%)
broker clerk				1 (0.2%)
broommaker			3 (0.1%)
brush maker	1 (0.2%)		2 (0.1%)
buggy maker					1 (0.1%)
builder			1 (0.0%)				1 (0.2%)
butcher		2 (0.3%)	34 (1.6%)	4 (0.6%)	2 (0.3%)	2 (2.0%)
cabinet maker	1 (0.2%)		5 (0.2%)	2 (0.3%)		2 (2.0%)	1 (0.2%)
cabinetmaker			1 (0.0%)
can't identify	48 (9.6%)	40 (6.4%)		32 (5.1%)	30 (4.3%)	7 (6.9%)	29 (5.5%)	25 (6.4%)	19 (8.3%)	13 (19.1%)	2 (22.2%)
canvasser						1 (1.0%)
capitalist							2 (0.4%)
car conductor					1 (0.1%)
car driver				1 (0.2%)	2 (0.3%)
car inspector					2 (0.3%)
carder			1 (0.0%)
carman			1 (0.0%)
carpenter	9 (1.8%)	22 (3.5%)	58 (2.8%)	28 (4.4%)	29 (4.2%)	4 (4.0%)	18 (3.4%)	2 (0.5%)
carpenter + farmer		1 (0.2%)
carpenter and builder					1 (0.1%)
carpenter and farmer					1 (0.1%)
carpenter app		1 (0.2%)
carpenter--farm machine								1 (0.3%)
carpet weaver	1 (0.2%)			4 (0.6%)	3 (0.4%)
carpets						1 (1.0%)
carriage painter		1 (0.2%)					1 (0.2%)
carriage trimmer			1 (0.0%)
carrier PO						1 (1.0%)
carter		2 (0.3%)	2 (0.1%)	1 (0.2%)
case maker			1 (0.0%)
cashier					1 (0.1%)		1 (0.2%)
census not found	151	135		149	153	675	240	314	417	566	153
chair makers apprentice				1 (0.2%)
chairmaker			3 (0.1%)		1 (0.1%)
char [?] hooper [?]		1 (0.2%)
church janitor							1 (0.2%)
cigar maker			1 (0.0%)
cigar manufacturer					1 (0.1%)		1 (0.2%)
cigarmaker		1 (0.2%)	12 (0.6%)	2 (0.3%)	3 (0.4%)		1 (0.2%)	1 (0.3%)
city clerk									1 (0.4%)
clergyman				2 (0.3%)	1 (0.1%)
clerk	5 (1.0%)	8 (1.3%)	78 (3.8%)	2 (0.3%)	5 (0.7%)	5 (5.0%)	1 (0.2%)
clerk (factory)				1 (0.2%)
clerk (war)					1 (0.1%)
clerk US govt									1 (0.4%)
clerk War Dept				1 (0.2%)	1 (0.1%)
clerk at Alms H				1 (0.2%)
clerk at Navy Yard								1 (0.3%)
clerk at furnace				1 (0.2%)	1 (0.1%)
clerk at r r office				1 (0.2%)
clerk bank				1 (0.2%)
clerk guardian poor [?]					1 (0.1%)
clerk in RR					1 (0.1%)
clerk in bank					1 (0.1%)
clerk in china store				1 (0.2%)
clerk in factory				1 (0.2%)
clerk in gen con store				1 (0.2%)
clerk in grocery store				1 (0.2%)
clerk in hospital					1 (0.1%)
clerk in office				1 (0.2%)	1 (0.1%)
clerk in store		1 (0.2%)		5 (0.8%)	1 (0.1%)
clerk in water department					1 (0.1%)
clerk--r r office								1 (0.3%)
coach apprentice		1 (0.2%)
coach builder				1 (0.2%)
coach painter		1 (0.2%)		3 (0.5%)	1 (0.1%)		1 (0.2%)
coach trim			1 (0.0%)
coach trimmer		1 (0.2%)
coachmaker	2 (0.4%)	3 (0.5%)	3 (0.1%)	1 (0.2%)	2 (0.3%)
coachman			1 (0.0%)
coal						1 (1.0%)
coal dealer				1 (0.2%)
coal heaver			1 (0.0%)
coal miner		1 (0.2%)		2 (0.3%)	3 (0.4%)		1 (0.2%)	1 (0.3%)
coffee + spice dealer					1 (0.1%)
collar maker							1 (0.2%)
collector					1 (0.1%)
collier	1 (0.2%)		1 (0.0%)	1 (0.2%)
colourer			1 (0.0%)
combmaker			1 (0.0%)	1 (0.2%)	1 (0.1%)		1 (0.2%)
commercial salesman								1 (0.3%)
commercial traveler								1 (0.3%)
commercial traveller coffee spice							1 (0.2%)
cond rail road							1 (0.2%)
conductor		3 (0.5%)	3 (0.1%)			2 (2.0%)
conductor rail road								1 (0.3%)
confectionary			1 (0.0%)
confectionary store							1 (0.2%)
confectioner		2 (0.3%)	5 (0.2%)	2 (0.3%)	2 (0.3%)	1 (1.0%)
constable				1 (0.2%)
contractor		1 (0.2%)
conveyancer		1 (0.2%)
cook				1 (0.2%)	1 (0.1%)
cook at railroad camp								1 (0.3%)
cook boarding house							1 (0.2%)
cook--mess hall								1 (0.3%)
cooper		2 (0.3%)	9 (0.4%)		3 (0.4%)	1 (1.0%)
cooper app		1 (0.2%)
copper p printer	1 (0.2%)
cordwainer	1 (0.2%)	2 (0.3%)	5 (0.2%)
corn dealer					1 (0.1%)
cotton weaver				1 (0.2%)	1 (0.1%)
court crier					1 (0.1%)
crier of District Court				1 (0.2%)
currier			2 (0.1%)
cutter						1 (1.0%)
cutter in shoe store		1 (0.2%)
day labor							2 (0.4%)
day laborer	1 (0.2%)	23 (3.7%)		6 (1.0%)	2 (0.3%)		30 (5.7%)
day watchman								1 (0.3%)
dealer		2 (0.3%)	3 (0.1%)
dealer heater [?] + rep [?]							1 (0.2%)
dealer in hides							1 (0.2%)
dealer in liquor					1 (0.1%)
dealer in provisions					1 (0.1%)
deals in ice				1 (0.2%)
dental worker		1 (0.2%)
dentist			1 (0.0%)			1 (1.0%)	1 (0.2%)	1 (0.3%)
deputy sheriff					1 (0.1%)	1 (1.0%)
detective							1 (0.2%)
dipper			1 (0.0%)
doctor					1 (0.1%)
domestic		2 (0.3%)
drayman		1 (0.2%)	1 (0.0%)
drill master			1 (0.0%)
driver			3 (0.1%)		1 (0.1%)	6 (5.9%)	1 (0.2%)
druggist	1 (0.2%)	5 (0.8%)	3 (0.1%)	1 (0.2%)	1 (0.1%)
drummer			3 (0.1%)
dry goods clerk				1 (0.2%)
dry goods dealer				1 (0.2%)
dry goods merch							1 (0.2%)
dry goods merchant				1 (0.2%)
dyer	1 (0.2%)		1 (0.0%)		1 (0.1%)		1 (0.2%)
emp gas office					1 (0.1%)
employee Mint								1 (0.3%)
engine builder				1 (0.2%)
engineer		1 (0.2%)	5 (0.2%)	1 (0.2%)	1 (0.1%)	1 (1.0%)	1 (0.2%)
engineer Pennsylvania R R								1 (0.3%)
engineer at planing [?] mill								1 (0.3%)
engineer at well				1 (0.2%)
engraver	1 (0.2%)		1 (0.0%)
ex. messenger							1 (0.2%)
exSoldier								1 (0.3%)
exchange doorkeeper					1 (0.1%)
expressman							1 (0.2%)
factory hand		1 (0.2%)
fancy woolen worker			1 (0.0%)
farm							1 (0.2%)
farm hand		5 (0.8%)
farm lab		10 (1.6%)
farm labor		1 (0.2%)		6 (1.0%)	1 (0.1%)
farm laborer		31 (5.0%)		24 (3.8%)	16 (2.3%)		3 (0.6%)	1 (0.3%)
farm labour							1 (0.2%)
farm tenant		1 (0.2%)
farmer	25 (5.0%)	45 (7.2%)	179 (8.7%)	70 (11.1%)	106 (15.2%)		90 (17.2%)	28 (7.1%)	3 (1.3%)
farmer (fruit farm)								1 (0.3%)
farmer (grain [?] farm)										1 (1.5%)
farmer (home farm)								1 (0.3%)
farmer and stonemason							1 (0.2%)
farmer--general farm								13 (3.3%)
farmer--own farm									1 (0.4%)
farmer--truck farm									2 (0.9%)
farmhand		2 (0.3%)		1 (0.2%)
farming	1 (0.2%)			1 (0.2%)	11 (1.6%)			1 (0.3%)
fifer			1 (0.0%)
fire brick maker				1 (0.2%)
fire insurance agent				1 (0.2%)
fireman			2 (0.1%)			2 (2.0%)	1 (0.2%)
fireman (gas w)				1 (0.2%)
fireman gas works				1 (0.2%)
fireman on railroad					1 (0.1%)
fish dealer					1 (0.1%)
fisherman		3 (0.5%)	8 (0.4%)	2 (0.3%)		1 (1.0%)
flagman rr							1 (0.2%)
flour feed [?]					1 (0.1%)
foreman					1 (0.1%)		1 (0.2%)
foreman in ship yard							1 (0.2%)
fork finisher					1 (0.1%)
founder	1 (0.2%)			1 (0.2%)
furnishing store							1 (0.2%)
furniture car driver					1 (0.1%)
furrier							1 (0.2%)
gardener	1 (0.2%)	2 (0.3%)	13 (0.6%)	1 (0.2%)	5 (0.7%)		2 (0.4%)	1 (0.3%)
gardener in own garden									1 (0.4%)
gas finisher			1 (0.0%)
gas fitter	1 (0.2%)	1 (0.2%)
gas meter manuf		1 (0.2%)
gas purifier					1 (0.1%)
gatherer--glass co										1 (1.5%)
general dealer		1 (0.2%)
general house carpenter								1 (0.3%)
gent							1 (0.2%)
gentleman		1 (0.2%)	1 (0.0%)				2 (0.4%)
gilder			2 (0.1%)	1 (0.2%)		1 (1.0%)
glass blower	1 (0.2%)	8 (1.3%)	18 (0.9%)	8 (1.3%)	5 (0.7%)	1 (1.0%)	2 (0.4%)
glass gatherer							1 (0.2%)
glass salesman							1 (0.2%)
goffer						1 (1.0%)
goffering					1 (0.1%)
government							1 (0.2%)
government employee							1 (0.2%)
govt clerk					1 (0.1%)		1 (0.2%)
granite letterer							1 (0.2%)
grinder			2 (0.1%)	1 (0.2%)
grocer		1 (0.2%)	4 (0.2%)	4 (0.6%)	2 (0.3%)	1 (1.0%)
grocery				1 (0.2%)	1 (0.1%)		1 (0.2%)
grocery clerk							1 (0.2%)
guilder			1 (0.0%)
gunsmith			1 (0.0%)		1 (0.1%)
hack driver					1 (0.1%)
hairdresser			1 (0.0%)
hand loom weaver		1 (0.2%)
hardware				1 (0.2%)
hardware merchant					2 (0.3%)
harness maker			3 (0.1%)		1 (0.1%)		1 (0.2%)
hat + cap store					1 (0.1%)
hatter		1 (0.2%)	6 (0.3%)		1 (0.1%)
hatter [?]				1 (0.2%)
heater			1 (0.0%)
heaver up rolls		1 (0.2%)
helper			1 (0.0%)
home carpenter								1 (0.3%)
hopper			1 (0.0%)
horse dealer					1 (0.1%)		1 (0.2%)
hose maker			1 (0.0%)
hostler	1 (0.2%)	1 (0.2%)	5 (0.2%)	1 (0.2%)	1 (0.1%)
hotel keeper		2 (0.3%)	1 (0.0%)		1 (0.1%)
house [illegible]		1 (0.2%)
house and sign painter				1 (0.2%)			1 (0.2%)
house carp jour				1 (0.2%)
house carpenter	1 (0.2%)	1 (0.2%)		5 (0.8%)	3 (0.4%)		3 (0.6%)	6 (1.5%)	1 (0.4%)
house painter		2 (0.3%)		6 (1.0%)	7 (1.0%)		6 (1.1%)	2 (0.5%)
house plasterer								1 (0.3%)
huckster	1 (0.2%)		5 (0.2%)	1 (0.2%)	4 (0.6%)		1 (0.2%)
huckster (produce)							1 (0.2%)
huckster and farmer				1 (0.2%)
ice						1 (1.0%)
in a store					1 (0.1%)
in gas works					1 (0.1%)
in the Army					1 (0.1%)
ingrain carpet weaver		1 (0.2%)
innkeeper	1 (0.2%)		2 (0.1%)
inspector						4 (4.0%)
inspector US gov							1 (0.2%)
inspector at electric company									1 (0.4%)
insurance agent							1 (0.2%)	1 (0.3%)
invalid									1 (0.4%)
inventor					1 (0.1%)
iron bridge builder				1 (0.2%)
iron founder					1 (0.1%)
iron moulder		3 (0.5%)		1 (0.2%)
iron worker					1 (0.1%)
ironworker			1 (0.0%)
ivory turner			1 (0.0%)
jail guard								1 (0.3%)
jailor					1 (0.1%)
janitor							1 (0.2%)	1 (0.3%)
jeweller		1 (0.2%)	4 (0.2%)	1 (0.2%)	1 (0.1%)		1 (0.2%)
journ h painter				1 (0.2%)
journeyman carpenter								1 (0.3%)
journeyman plasterer				1 (0.2%)
journeyman tailor				1 (0.2%)
judge circuit court									1 (0.4%)
judge district court								1 (0.3%)
justice of peace				2 (0.3%)			1 (0.2%)	1 (0.3%)
justice of the peace							1 (0.2%)
keeps [illegible] shop					1 (0.1%)
keeps a restaurant					2 (0.3%)
keeps saloon					1 (0.1%)
keeps tavern				1 (0.2%)
knobler					1 (0.1%)
l shoe maker				1 (0.2%)
lab man		1 (0.2%)
labor	2 (0.4%)						1 (0.2%)
labor boss (railroad)							1 (0.2%)
labor in timber							1 (0.2%)
labor on farm				2 (0.3%)
laborer	29 (5.8%)	51 (8.2%)	309 (15.0%)	53 (8.4%)	77 (11.0%)	9 (8.9%)	12 (2.3%)	1 (0.3%)	1 (0.4%)
laborer (farm)							1 (0.2%)
laborer (tannery)							1 (0.2%)
laborer at Mint					1 (0.1%)
laborer at brick work								1 (0.3%)
laborer at carbon factory									1 (0.4%)
laborer at mines				1 (0.2%)
laborer comm							1 (0.2%)
laborer on farm				1 (0.2%)
laborer rr					1 (0.1%)
laborer water bureau							1 (0.2%)
laborer--coal mine								1 (0.3%)
laborer--dept store									1 (0.4%)
laborer--odd jobs								7 (1.8%)
laboring in farm				1 (0.2%)
laboring on farm				1 (0.2%)
labour		1 (0.2%)
labourer		2 (0.3%)
lager beer saloon					1 (0.1%)
lamp maker		1 (0.2%)
lamplighter							1 (0.2%)	1 (0.3%)
landlord							2 (0.4%)
last maker		1 (0.2%)	1 (0.0%)
laundry foreman								1 (0.3%)
lawyer	1 (0.2%)			1 (0.2%)	1 (0.1%)
leacher			1 (0.0%)
lead pencil maker		1 (0.2%)
lead pounder			1 (0.0%)
leather manufacturer					1 (0.1%)
leatherworker			1 (0.0%)
letter carrier				1 (0.2%)	2 (0.3%)		3 (0.6%)	2 (0.5%)
letter carrier US Govt								1 (0.3%)
life insurance agent							1 (0.2%)
lime burner				2 (0.3%)
liquor dealer		1 (0.2%)						1 (0.3%)
litho printer							1 (0.2%)
lithographer		2 (0.3%)	1 (0.0%)
livery						1 (1.0%)
livery business					1 (0.1%)
locksmith		1 (0.2%)	1 (0.0%)		2 (0.3%)		1 (0.2%)
locksmith--door lock factory									1 (0.4%)
locksmith--shop								1 (0.3%)
locomotive engineer							2 (0.4%)
longshoreman			1 (0.0%)
loom boss					1 (0.1%)
loom boss (in mill)				1 (0.2%)
loom fixer							1 (0.2%)
lumber dealer					2 (0.3%)
lumber merchant	1 (0.2%)	1 (0.2%)
lumberman			1 (0.0%)	1 (0.2%)
machine manufacturer				1 (0.2%)
machinist	2 (0.4%)	2 (0.3%)	21 (1.0%)		2 (0.3%)		2 (0.4%)	1 (0.3%)	1 (0.4%)
machinist + engineer					1 (0.1%)
machinist helper							1 (0.2%)
machinist laborer							1 (0.2%)
major							1 (0.2%)
manuf. ranges				1 (0.2%)
manufacturer			1 (0.0%)						1 (0.4%)
manufacturer shirts							1 (0.2%)
marble cutter			1 (0.0%)
mariner	1 (0.2%)	2 (0.3%)		2 (0.3%)
mason		4 (0.6%)	7 (0.3%)	1 (0.2%)			3 (0.6%)
mason and engineman--coal mine								1 (0.3%)
master bricklayer		1 (0.2%)
master butcher		1 (0.2%)
master collier		1 (0.2%)
master painter		1 (0.2%)
master plasterer		1 (0.2%)			1 (0.1%)
master wheelwright		1 (0.2%)
mech engr								1 (0.3%)
mechan engineer							1 (0.2%)
mechanic			1 (0.0%)
medical doctor					1 (0.1%)
mer dry goods + groc							1 (0.2%)
merchant	2 (0.4%)	4 (0.6%)	3 (0.1%)	2 (0.3%)	1 (0.1%)
merchant art materials							1 (0.2%)
merchant mantels - tiles								1 (0.3%)
merchant--provisions							1 (0.2%)
messenger Navy Yard							1 (0.2%)
messenger USN								1 (0.3%)
messenger at US Arsenal								1 (0.3%)
military clerk							1 (0.2%)
milk dealer				1 (0.2%)	1 (0.1%)		1 (0.2%)
mill sawyer			1 (0.0%)
miller	1 (0.2%)	1 (0.2%)	9 (0.4%)	2 (0.3%)	3 (0.4%)		1 (0.2%)
millerman	1 (0.2%)
milliner			1 (0.0%)
millwright		1 (0.2%)	1 (0.0%)	2 (0.3%)
mincemeat agt							1 (0.2%)
miner			18 (0.9%)	2 (0.3%)	3 (0.4%)		1 (0.2%)
minister					1 (0.1%)		4 (0.8%)	2 (0.5%)
minister Holiness Church								1 (0.3%)
minister-evangelist									1 (0.4%)
morocco dresser	1 (0.2%)	1 (0.2%)	1 (0.0%)	1 (0.2%)	1 (0.1%)		1 (0.2%)
morocco dyer		1 (0.2%)
morocco finisher			2 (0.1%)	1 (0.2%)	1 (0.1%)
morocco shaver		1 (0.2%)
morocco worker							1 (0.2%)
moulder		2 (0.3%)	20 (1.0%)	1 (0.2%)	1 (0.1%)	2 (2.0%)	1 (0.2%)
mule spinner					1 (0.1%)
music composer									1 (0.4%)
music teacher					1 (0.1%)	1 (1.0%)
musical [illegible]								1 (0.3%)
musician		1 (0.2%)			1 (0.1%)
nailor			2 (0.1%)
newsboy			1 (0.0%)
nickel plater					1 (0.1%)
night watchman			1 (0.0%)		1 (0.1%)		1 (0.2%)	1 (0.3%)
no business	1 (0.2%)
no oc				1 (0.2%)
nobler				1 (0.2%)
none	12 (2.4%)						1 (0.2%)	38 (9.7%)	54 (23.7%)	14 (20.6%)
not checked	1361	1265		1250	1180	686	1269	1330	1397	1414	1897
nothing							1 (0.2%)
notion peddler					1 (0.1%)
notion store					1 (0.1%)
oak cooper	1 (0.2%)
oil producer					1 (0.1%)		1 (0.2%)
on road repairs PRR					1 (0.1%)
operative		1 (0.2%)
operator			1 (0.0%)
order clerk at provision mkt									1 (0.4%)
ore miner				2 (0.3%)
organ manufac				1 (0.2%)
ornamental painter		1 (0.2%)
overseer at lime quarry				1 (0.2%)
own income								36 (9.2%)
oyster dealer					1 (0.1%)
oysters						2 (2.0%)
paint [illegible] bus							1 (0.2%)
paint-manf				1 (0.2%)
painter	6 (1.2%)	11 (1.8%)	30 (1.5%)	9 (1.4%)	12 (1.7%)	6 (5.9%)	2 (0.4%)	1 (0.3%)
painter + paper hanger							1 (0.2%)
painter supplies					1 (0.1%)
paints						1 (1.0%)
paper dealer			1 (0.0%)
paper folder			1 (0.0%)
paperhanger	2 (0.4%)	4 (0.6%)	6 (0.3%)	5 (0.8%)	4 (0.6%)
park gardener							1 (0.2%)
park guard					2 (0.3%)
pattern maker				1 (0.2%)	1 (0.1%)		1 (0.2%)
paver		1 (0.2%)
pavier [?]					1 (0.1%)
pawnbroker				1 (0.2%)	1 (0.1%)
peddler			2 (0.1%)				1 (0.2%)
pedlar		1 (0.2%)
penitentiary chaplain									1 (0.4%)
pensioner							1 (0.2%)	1 (0.3%)	1 (0.4%)
photographer			1 (0.0%)	1 (0.2%)	1 (0.1%)		1 (0.2%)
physician				4 (0.6%)	5 (0.7%)	3 (3.0%)	5 (1.0%)	2 (0.5%)
physician (general practice)								1 (0.3%)
picture frames					1 (0.1%)
pipe cutter							1 (0.2%)	1 (0.3%)
plasterer	5 (1.0%)	3 (0.5%)	5 (0.2%)	5 (0.8%)	5 (0.7%)	1 (1.0%)	3 (0.6%)	2 (0.5%)
plumber			2 (0.1%)
police					1 (0.1%)	3 (3.0%)
police inspector								1 (0.3%)
police officer					2 (0.3%)
policeman				1 (0.2%)	1 (0.1%)		1 (0.2%)
polisher		1 (0.2%)	1 (0.0%)				1 (0.2%)
polisher of edge tools				1 (0.2%)
poller	1 (0.2%)
porter			1 (0.0%)
postmaster				1 (0.2%)
potter	1 (0.2%)	2 (0.3%)
poultry man								1 (0.3%)
power loom weaver		1 (0.2%)
preacher			1 (0.0%)
president							1 (0.2%)
president trust company								1 (0.3%)
presser						1 (1.0%)	1 (0.2%)
printer	2 (0.4%)	2 (0.3%)	21 (1.0%)	3 (0.5%)	3 (0.4%)	1 (1.0%)	1 (0.2%)
private		1 (0.2%)
private [sc. soldier]				1 (0.2%)
professor of French and drawing and painting				1 (0.2%)
professor of music							1 (0.2%)
proprietor saddle shop								1 (0.3%)
provision dealer		1 (0.2%)		1 (0.2%)			1 (0.2%)
pumpmaker			1 (0.0%)
purveyor		1 (0.2%)
quarry[worker?]			1 (0.0%)
quarryman		1 (0.2%)
r grocer				1 (0.2%)
r r clerk					1 (0.1%)		1 (0.2%)
r r conductor		1 (0.2%)
r r employee					1 (0.1%)
r r laborer				3 (0.5%)
rag picker					1 (0.1%)
railroad employee			1 (0.0%)
railroad engineer							1 (0.2%)
railroad worker			2 (0.1%)
raises fowl					1 (0.1%)
range builder				1 (0.2%)
real estate						2 (2.0%)	2 (0.4%)
real estate broker								1 (0.3%)
real estate head									1 (0.4%)
real estate salesman								1 (0.3%)
restaurant					1 (0.1%)
restaurant keeper							1 (0.2%)		1 (0.4%)
ret liquor dealer				1 (0.2%)
ret of dry goods				1 (0.2%)
retail coal dealer					1 (0.1%)
retail grocer				1 (0.2%)
retail hardware store				1 (0.2%)
retail merchant								1 (0.3%)
retail merchant--cigars									1 (0.4%)
retail merchant--grocery st								1 (0.3%)
retailer of segars					1 (0.1%)
retired							4 (0.8%)	7 (1.8%)	6 (2.6%)	3 (4.4%)
retired carpenter								1 (0.3%)
retired farmer					1 (0.1%)		1 (0.2%)	2 (0.5%)	1 (0.4%)
retired general								1 (0.3%)
retired minister									1 (0.4%)
retired soldier							1 (0.2%)
rodman					1 (0.1%)
roller			3 (0.1%)
roofer			3 (0.1%)
ropemaker		1 (0.2%)		1 (0.2%)	1 (0.1%)
rr blacksmith					1 (0.1%)
saddle harness maker					1 (0.1%)
saddler	1 (0.2%)		4 (0.2%)	2 (0.3%)	1 (0.1%)			1 (0.3%)
sailor	1 (0.2%)		23 (1.1%)	1 (0.2%)			1 (0.2%)
salesman		3 (0.5%)	4 (0.2%)		5 (0.7%)	2 (2.0%)	2 (0.4%)
salesman furniture							1 (0.2%)
salesman groceries							1 (0.2%)
salesman in grocery					1 (0.1%)
salesman metal							1 (0.2%)
salesman metal company								1 (0.3%)
salesman tea coffee etc.				1 (0.2%)
salesman--brooms								1 (0.3%)
salesman--grocery							1 (0.2%)
salesman--patent medicine								1 (0.3%)
saloon								1 (0.3%)
sargeant					1 (0.1%)
sargent			1 (0.0%)
saw grinder			2 (0.1%)
sawmill laborer							1 (0.2%)
sawyer		1 (0.2%)		1 (0.2%)	2 (0.3%)
sawyer at sawmill								1 (0.3%)
school teach							1 (0.2%)
school teacher					1 (0.1%)
scourer		1 (0.2%)	1 (0.0%)
seaman			20 (1.0%)	1 (0.2%)
secretary						1 (1.0%)
secretary Grand Lodge K of P							1 (0.2%)
secretary Masonic Lodge									1 (0.4%)
segar apprentice		1 (0.2%)
segar maker		1 (0.2%)		1 (0.2%)
serves milk				1 (0.2%)
serving [?]		1 (0.2%)
sewing machine dealer							1 (0.2%)
sewing machines					1 (0.1%)
sheet iron worker		1 (0.2%)	1 (0.0%)
shingle maker				1 (0.2%)
ship broker					1 (0.1%)
ship carpenter	1 (0.2%)		6 (0.3%)
ship joiner		1 (0.2%)		1 (0.2%)	1 (0.1%)
shipbuilder			2 (0.1%)
shirt manufacturer					2 (0.3%)
shirts						1 (1.0%)
shoe agent					1 (0.1%)
shoe cutter				1 (0.2%)	1 (0.1%)
shoe heeler				1 (0.2%)
shoecutter			1 (0.0%)		1 (0.1%)
shoemaker	1 (0.2%)	9 (1.4%)	41 (2.0%)	7 (1.1%)	8 (1.1%)	1 (1.0%)	4 (0.8%)
shoemaker apprentice		1 (0.2%)
shovel polisher		1 (0.2%)
sign painter		1 (0.2%)		1 (0.2%)			1 (0.2%)
sign writer					1 (0.1%)
silversmith		1 (0.2%)	1 (0.0%)	1 (0.2%)	1 (0.1%)	1 (1.0%)
slate mantels						1 (1.0%)
slater				1 (0.2%)	1 (0.1%)		1 (0.2%)
smith			1 (0.0%)
soap boiler		1 (0.2%)
soap factory				1 (0.2%)
soap manufacturer	1 (0.2%)
soapmaker			3 (0.1%)
soldier			5 (0.2%)	1 (0.2%)	2 (0.3%)
special police					1 (0.1%)
spinner	1 (0.2%)		1 (0.0%)
spinster			1 (0.0%)
spooler					1 (0.1%)
spring maker					1 (0.1%)
spring manufacturer					1 (0.1%)		1 (0.2%)
stage driver				1 (0.2%)
stamper		1 (0.2%)
stationary engineer							4 (0.8%)	1 (0.3%)
steam engineer							1 (0.2%)
steamfitter				1 (0.2%)	1 (0.1%)
steward							2 (0.4%)
stock dealer			1 (0.0%)
stoker						2 (2.0%)
stone cutter	3 (0.6%)	4 (0.6%)	5 (0.2%)	4 (0.6%)	1 (0.1%)		2 (0.4%)
stone cutter app		1 (0.2%)
stone mason	1 (0.2%)	1 (0.2%)	4 (0.2%)	10 (1.6%)	6 (0.9%)			1 (0.3%)
stone mason + shoe maker					1 (0.1%)
store keeper									1 (0.4%)
storeboy			1 (0.0%)
storekeeper			1 (0.0%)		1 (0.1%)
stove maker			1 (0.0%)
stove molder		1 (0.2%)
stove moulder		1 (0.2%)			1 (0.1%)		1 (0.2%)
street car conductor				1 (0.2%)
student			2 (0.1%)
sugar refiner			1 (0.0%)
superintendent								1 (0.3%)
superintendent Masonic Temple								1 (0.3%)
superintendent at Nat'l Cemetery									1 (0.4%)
surveyor			1 (0.0%)
switch man on rr				1 (0.2%)
switch tender				1 (0.2%)
switchman						1 (1.0%)
tablecloth weaver				1 (0.2%)
tailor	4 (0.8%)	6 (1.0%)	16 (0.8%)	6 (1.0%)	5 (0.7%)		1 (0.2%)	1 (0.3%)
tailor (operator)							1 (0.2%)
tanner	2 (0.4%)		2 (0.1%)		1 (0.1%)
tavern keeper		1 (0.2%)			1 (0.1%)
tax collector									1 (0.4%)
tea dealer		1 (0.2%)
teacher	1 (0.2%)		1 (0.0%)	1 (0.2%)
teacher of com. school		1 (0.2%)
teamster		1 (0.2%)	28 (1.4%)	5 (0.8%)	3 (0.4%)		2 (0.4%)	1 (0.3%)
teamster at turning works								1 (0.3%)
telegraph clerk					1 (0.1%)
telegraph operator			1 (0.0%)	1 (0.2%)
theological student				1 (0.2%)
timekeeper								1 (0.3%)
tin roofer				2 (0.3%)	2 (0.3%)		1 (0.2%)
tinman	1 (0.2%)
tinner		1 (0.2%)
tinsmith	1 (0.2%)	3 (0.5%)	6 (0.3%)	1 (0.2%)	2 (0.3%)		1 (0.2%)
tipstaff							1 (0.2%)
tobacco salesman							1 (0.2%)
tobacconist	1 (0.2%)		3 (0.1%)	1 (0.2%)
toll gate keeper				1 (0.2%)
toll gathering agent								1 (0.3%)
toothmaker			1 (0.0%)
travelling salesman								1 (0.3%)	1 (0.4%)
trimmings						1 (1.0%)
trucker			1 (0.0%)		1 (0.1%)
trunkmaker	1 (0.2%)	1 (0.2%)
turner	1 (0.2%)		3 (0.1%)
type caster		2 (0.3%)
type founder	1 (0.2%)		3 (0.1%)
undertaker					1 (0.1%)		1 (0.2%)	1 (0.3%)
unemployed			1 (0.0%)
upholsterer	1 (0.2%)	2 (0.3%)		1 (0.2%)	1 (0.1%)	1 (1.0%)	1 (0.2%)
varnisher	1 (0.2%)	3 (0.5%)	3 (0.1%)	1 (0.2%)
vegetable farmer					1 (0.1%)
vendor			2 (0.1%)
veteran			1 (0.0%)
victualler	1 (0.2%)	1 (0.2%)
wagon driver				1 (0.2%)
wagonmaker		1 (0.2%)	3 (0.1%)	1 (0.2%)	1 (0.1%)
warehouseman			1 (0.0%)
warper	1 (0.2%)	2 (0.3%)
washer					1 (0.1%)
watchmaker			2 (0.1%)	1 (0.2%)
watchman				5 (0.8%)	2 (0.3%)	1 (1.0%)	3 (0.6%)	1 (0.3%)
waterman	2 (0.4%)	1 (0.2%)	10 (0.5%)		1 (0.1%)
weaver	7 (1.4%)	9 (1.4%)	30 (1.5%)	1 (0.2%)	2 (0.3%)	2 (2.0%)
well digger					1 (0.1%)
well driller							1 (0.2%)
wharf builder		1 (0.2%)
wheelwright	2 (0.4%)	3 (0.5%)	5 (0.2%)		1 (0.1%)
whipmaker			2 (0.1%)
wholesale dealer--produce								1 (0.3%)
wholesale groc							1 (0.2%)
wire worker			1 (0.0%)
wood cutter			1 (0.0%)
wool dresser							1 (0.2%)
woollen warper				1 (0.2%)
work at factory				1 (0.2%)
work in cotton mill				1 (0.2%)
work in tannery				1 (0.2%)
working in meter factory					1 (0.1%)
workman			1 (0.0%)
works at blacksmithy				1 (0.2%)
works at boat building				1 (0.2%)
works at carpentering				1 (0.2%)	1 (0.1%)
works at furnace					1 (0.1%)
works glass factory					1 (0.1%)
works in Boiler Works				1 (0.2%)
works in Navy Yard				1 (0.2%)
works in a brewery				1 (0.2%)
works in a brickyard					1 (0.1%)
works in an iron mine					1 (0.1%)
works in blacksmith shop				1 (0.2%)
works in boiler works					1 (0.1%)
works in brick yard				1 (0.2%)
works in brickyard					1 (0.1%)
works in cloth factory				1 (0.2%)
works in cloth mill					1 (0.1%)
works in coal yard					1 (0.1%)
works in cot mill				1 (0.2%)	1 (0.1%)
works in cot[ton] mill					1 (0.1%)
works in cott mill				1 (0.2%)
works in cotton fac				1 (0.2%)
works in distillery				1 (0.2%)
works in factory				1 (0.2%)
works in foundry				2 (0.3%)
works in gas house				1 (0.2%)	1 (0.1%)
works in gas works				1 (0.2%)	1 (0.1%)
works in glass factory				1 (0.2%)
works in iron ore mine				1 (0.2%)
works in marble factory					1 (0.1%)
works in mill				1 (0.2%)
works in mine					1 (0.1%)
works in morocco factory					1 (0.1%)
works in ore mine					1 (0.1%)
works in paper mill				1 (0.2%)
works in pottery				1 (0.2%)
works in saw mill				2 (0.3%)
works in shoe factory					2 (0.3%)
works in shoe shop					1 (0.1%)
works in shovel factory				1 (0.2%)	1 (0.1%)
works in stove factory					1 (0.1%)
works in stove store					1 (0.1%)
works in window glass works					1 (0.1%)
works in woolen mill					1 (0.1%)
works in woollen factory				1 (0.2%)
works on farm				5 (0.8%)	3 (0.4%)
works woolen mill					1 (0.1%)

Occupation class in census, by census

	1850	1860	enlistment	1870	1880	1890	1900	1910	1920	1930	1940
Artisans	70 (39.5%)	163 (35.4%)	428 (30.3%)	161 (32.1%)	159 (27.3%)	19 (19.0%)	79 (21.8%)	28 (11.9%)	3 (3.3%)
Manual laborers	34 (19.2%)	136 (29.5%)	416 (29.4%)	122 (24.4%)	121 (20.8%)	12 (12.0%)	64 (17.7%)	16 (6.8%)	3 (3.3%)
Not in labor force	13 (7.3%)	1 (0.2%)	4 (0.3%)	3 (0.6%)	3 (0.5%)		12 (3.3%)	87 (37.0%)	64 (69.6%)	17 (94.4%)
Professionals and large proprietors	7 (4.0%)	18 (3.9%)	16 (1.1%)	21 (4.2%)	31 (5.3%)	9 (9.0%)	24 (6.6%)	13 (5.5%)	5 (5.4%)
Semi-professionals and smaller proprietors	40 (22.6%)	94 (20.4%)	381 (27.0%)	137 (27.3%)	194 (33.3%)	38 (38.0%)	136 (37.6%)	73 (31.1%)	15 (16.3%)	1 (5.6%)
Service and semi-skilled workers	6 (3.4%)	32 (6.9%)	107 (7.6%)	48 (9.6%)	49 (8.4%)	22 (22.0%)	32 (8.8%)	16 (6.8%)	1 (1.1%)
[unknown]	324	160	648	129	115	593	161	157	136	50	9
can't identify	48 (27.1%)	40 (8.7%)		32 (6.4%)	30 (5.1%)	7 (7.0%)	29 (8.0%)	25 (10.6%)	19 (20.7%)	13 (72.2%)	2 (9.2233720368547763E17%)
census not found	151	135		149	153	675	240	314	417	566	153
not checked	1361	1265		1250	1180	686	1269	1330	1397	1414	1897
unknown class	7 (4.0%)	17 (3.7%)	61 (4.3%)	9 (1.8%)	26 (4.5%)		15 (4.1%)	2 (0.9%)	1 (1.1%)

HISCO major occupation class in census, by census

	1850	1860	enlistment	1870	1880	1890	1900	1910	1920	1930	1940
[unknown]	324	169	663	134	130	597	176	160	137	50	9
administrative and managerial workers			1 (0.1%)	5 (1.0%)	7 (1.2%)	6 (6.3%)	6 (1.7%)	4 (1.7%)	2 (2.2%)
agricultural, animal husbandry and forestry workers, fisherman, and hunters	28 (15.8%)	101 (22.3%)	207 (14.8%)	117 (23.6%)	145 (25.5%)	1 (1.0%)	99 (28.5%)	47 (20.3%)	7 (7.7%)	1 (5.6%)
can't identify	48 (27.1%)	40 (8.8%)		32 (6.5%)	30 (5.3%)	7 (7.3%)	29 (8.4%)	25 (10.8%)	19 (20.9%)	13 (72.2%)	2 (9.2233720368547763E17%)
census not found	151	135		149	153	675	240	314	417	566	153
clerical and related workers	5 (2.8%)	15 (3.3%)	84 (6.0%)	22 (4.4%)	26 (4.6%)	10 (10.4%)	13 (3.7%)	13 (5.6%)	4 (4.4%)
not checked	1361	1265		1250	1180	686	1269	1330	1397	1414	1897
not in work force	13 (7.3%)	1 (0.2%)	4 (0.3%)	3 (0.6%)	4 (0.7%)		13 (3.7%)	87 (37.5%)	64 (70.3%)	17 (94.4%)
production and related workers, transport equipment operators, and laborers	120 (67.8%)	299 (66.2%)	1041 (74.5%)	293 (59.1%)	303 (53.3%)	52 (54.2%)	162 (46.7%)	47 (20.3%)	7 (7.7%)
professional, technical, and related workers	3 (1.7%)	4 (0.9%)	10 (0.7%)	14 (2.8%)	19 (3.3%)	5 (5.2%)	16 (4.6%)	10 (4.3%)	4 (4.4%)
sales workers	6 (3.4%)	22 (4.9%)	35 (2.5%)	26 (5.2%)	36 (6.3%)	15 (15.6%)	26 (7.5%)	14 (6.0%)	2 (2.2%)
service workers	2 (1.1%)	10 (2.2%)	16 (1.1%)	16 (3.2%)	28 (4.9%)	7 (7.3%)	12 (3.5%)	10 (4.3%)	1 (1.1%)

HISCO minor occupation class in census, by census

	1850	1860	enlistment	1870	1880	1890	1900	1910	1920	1930	1940
[unknown]	324	169	663	134	130	597	176	160	137	50	9
agricultural and animal husbandry workers	2 (1.1%)	52 (11.5%)	18 (1.3%)	43 (8.7%)	27 (4.8%)		8 (2.3%)	3 (1.3%)	1 (1.1%)
architects, engineers, and related technicians			1 (0.1%)		2 (0.4%)
blacksmiths, toolmakers, and machine tool operators	4 (2.3%)	18 (4.0%)	51 (3.6%)	11 (2.2%)	20 (3.5%)	2 (2.1%)	10 (2.9%)	7 (3.0%)	2 (2.2%)
bookkeepers, cashiers, and related workers		2 (0.4%)	2 (0.1%)	10 (2.0%)	11 (1.9%)	2 (2.1%)	5 (1.4%)	5 (2.2%)	1 (1.1%)
bricklayers, carpenters, and other construction workers	21 (11.9%)	39 (8.6%)	94 (6.7%)	55 (11.1%)	55 (9.7%)	6 (6.3%)	28 (8.1%)	14 (6.0%)	1 (1.1%)
building caretakers, charworkers, cleaners, and related workers							2 (0.6%)	1 (0.4%)
cabinetmakers and related woodworkers	7 (4.0%)	16 (3.5%)	33 (2.4%)	8 (1.6%)	10 (1.8%)	3 (3.1%)	2 (0.6%)
can't identify	48 (27.1%)	40 (8.8%)		32 (6.5%)	30 (5.3%)	7 (7.3%)	29 (8.4%)	25 (10.8%)	19 (20.9%)	13 (72.2%)	2 (9.2233720368547763E17%)
census not found	151	135		149	153	675	240	314	417	566	153
chemical processors and related workers			3 (0.2%)	2 (0.4%)
clerical and related workers, specialization unknown	5 (2.8%)	9 (2.0%)	78 (5.6%)	9 (1.8%)	10 (1.8%)	5 (5.2%)	3 (0.9%)	1 (0.4%)	2 (2.2%)
composers and performing artists		1 (0.2%)	4 (0.3%)		1 (0.2%)			1 (0.4%)	1 (1.1%)
cooks, waiters, bartenders, and related workers		3 (0.7%)	3 (0.2%)	1 (0.2%)	2 (0.4%)	1 (1.0%)	2 (0.6%)	2 (0.9%)
electrical fitters and related electrical and electronics workers									1 (1.1%)
farmers	26 (14.7%)	46 (10.2%)	179 (12.8%)	71 (14.3%)	118 (20.8%)		91 (26.2%)	44 (19.0%)	6 (6.6%)	1 (5.6%)
fisherman, hunters, and related workers		3 (0.7%)	8 (0.6%)	2 (0.4%)		1 (1.0%)
food and beverage processors	1 (0.6%)	11 (2.4%)	69 (4.9%)	13 (2.6%)	9 (1.6%)	3 (3.1%)	3 (0.9%)
forestry workers			2 (0.1%)	1 (0.2%)
glass formers, potters, and related workers	5 (2.8%)	18 (4.0%)	31 (2.2%)	15 (3.0%)	8 (1.4%)	2 (2.1%)	6 (1.7%)
government executive officials									1 (1.1%)
hairdressers, barbers, beauticians, and related workers		1 (0.2%)	1 (0.1%)	2 (0.4%)	1 (0.2%)
insurance, real estate, securities, and business services salesman and auctioneers				1 (0.2%)		2 (2.1%)	4 (1.2%)	3 (1.3%)
jewellery and precious metal workers		2 (0.4%)	5 (0.4%)	2 (0.4%)	2 (0.4%)	1 (1.0%)	1 (0.3%)
jurists	1 (0.6%)			5 (1.0%)	3 (0.5%)		3 (0.9%)	2 (0.9%)	1 (1.1%)
labourers not elsewhere classified	32 (18.1%)	80 (17.7%)	311 (22.2%)	72 (14.5%)	95 (16.7%)	9 (9.4%)	50 (14.4%)	11 (4.7%)	3 (3.3%)
launderers, dry-cleaners, and pressers					1 (0.2%)	1 (1.0%)
machinery fitters, machine assemblers, and precision-instrument makers (except electrical)		1 (0.2%)	4 (0.3%)	2 (0.4%)
maids and related housekeeping service workers not elsewhere classified		2 (0.4%)
mail distribution clerks				1 (0.2%)	2 (0.4%)	1 (1.0%)	5 (1.4%)	5 (2.2%)
managers			1 (0.1%)	2 (0.4%)	3 (0.5%)	2 (2.1%)	2 (0.6%)	1 (0.4%)	2 (2.2%)
material handling and related equipment operators, dockers, and freight handlers			5 (0.4%)				1 (0.3%)
medical, dental, veterinary and related workers		1 (0.2%)	2 (0.1%)	4 (0.8%)	8 (1.4%)	4 (4.2%)	6 (1.7%)	4 (1.7%)
metal processors	2 (1.1%)	9 (2.0%)	28 (2.0%)	2 (0.4%)	3 (0.5%)	2 (2.1%)	1 (0.3%)
miners, quarrymen, well drillers, and related workers	1 (0.6%)	3 (0.7%)	21 (1.5%)	7 (1.4%)	9 (1.6%)		3 (0.9%)	1 (0.4%)
not checked	1361	1265		1250	1180	686	1269	1330	1397	1414	1897
not in work force	13 (7.3%)	1 (0.2%)	4 (0.3%)	3 (0.6%)	4 (0.7%)		13 (3.7%)	87 (37.5%)	64 (70.3%)	17 (94.4%)
painters	6 (3.4%)	19 (4.2%)	30 (2.1%)	21 (4.2%)	21 (3.7%)	6 (6.3%)	12 (3.5%)	3 (1.3%)
paper and paperboard products makers	1 (0.6%)	1 (0.2%)	4 (0.3%)	10 (2.0%)	6 (1.1%)			1 (0.4%)
plumbers, welders, sheet metal, and structural metal prepapers and erectors	3 (1.7%)	7 (1.5%)	10 (0.7%)	2 (0.4%)	5 (0.9%)	1 (1.0%)	4 (1.2%)	1 (0.4%)
printers and related workers	3 (1.7%)	9 (2.0%)	31 (2.2%)	6 (1.2%)	4 (0.7%)	1 (1.0%)	3 (0.9%)	1 (0.4%)
production and related workers not elsewhere classified	2 (1.1%)	3 (0.7%)	11 (0.8%)	2 (0.4%)	2 (0.4%)		1 (0.3%)
production and related workers, specialization unknown	2 (1.1%)	1 (0.2%)	24 (1.7%)	8 (1.6%)	3 (0.5%)	4 (4.2%)
protective service workers			9 (0.6%)	10 (2.0%)	15 (2.6%)	5 (5.2%)	6 (1.7%)	5 (2.2%)
sales workers not elsewhere classified				1 (0.2%)	2 (0.4%)
sales workers, unknown specialization							1 (0.3%)
salesmen, shop assistants, and related workers	1 (0.6%)	5 (1.1%)	15 (1.1%)	3 (0.6%)	11 (1.9%)	3 (3.1%)	9 (2.6%)	2 (0.9%)
sculptors, painters, photographers, and related creative artists			1 (0.1%)	1 (0.2%)	1 (0.2%)		1 (0.3%)
service workers not elsewhere classified					2 (0.4%)		1 (0.3%)	1 (0.4%)
shoemakers and leather goods makers	3 (1.7%)	14 (3.1%)	60 (4.3%)	10 (2.0%)	12 (2.1%)	1 (1.0%)	6 (1.7%)	1 (0.4%)
spinners, weavers, knitters, dyers, and related workers	11 (6.2%)	15 (3.3%)	34 (2.4%)	9 (1.8%)	9 (1.6%)	2 (2.1%)	3 (0.9%)
stationary engine and related equipment operators					1 (0.2%)		5 (1.4%)	1 (0.4%)
stone cutters and carvers	3 (1.7%)	8 (1.8%)	13 (0.9%)	5 (1.0%)	1 (0.2%)		6 (1.7%)
supervisors, foremen, and inspectors				3 (0.6%)	4 (0.7%)	4 (4.2%)	4 (1.2%)	3 (1.3%)
tailors, dressmakers, sewers, upholsterers, and related workers	6 (3.4%)	9 (2.0%)	25 (1.8%)	8 (1.6%)	8 (1.4%)	1 (1.0%)	4 (1.2%)	1 (0.4%)
tanners, fellmongers, and pelt dressers	3 (1.7%)	4 (0.9%)	7 (0.5%)	2 (0.4%)	3 (0.5%)		2 (0.6%)
teachers	1 (0.6%)		1 (0.1%)	2 (0.4%)	2 (0.4%)	1 (1.0%)	2 (0.6%)
technical salesmen, commercial travellers, and manufacturing agents			1 (0.1%)		1 (0.2%)	1 (1.0%)	2 (0.6%)	3 (1.3%)	1 (1.1%)
telephone and telegraph operators			1 (0.1%)	1 (0.2%)	1 (0.2%)
tobacco preparers and tobacco product makers		1 (0.2%)	12 (0.9%)	2 (0.4%)	4 (0.7%)		2 (0.6%)	1 (0.4%)
transport conductors		4 (0.9%)	3 (0.2%)	1 (0.2%)	2 (0.4%)	2 (2.1%)		2 (0.9%)
transport equipment operators	4 (2.3%)	10 (2.2%)	124 (8.9%)	18 (3.6%)	11 (1.9%)	8 (8.3%)	9 (2.6%)	3 (1.3%)
wood preparation workers and paper makers		1 (0.2%)	1 (0.1%)	1 (0.2%)	2 (0.4%)			1 (0.4%)
workers in religion	1 (0.6%)	2 (0.4%)	1 (0.1%)	2 (0.4%)	2 (0.4%)		4 (1.2%)	3 (1.3%)	2 (2.2%)
working proprietors (catering, lodging, and leisure services)	2 (1.1%)	4 (0.9%)	3 (0.2%)	3 (0.6%)	7 (1.2%)		1 (0.3%)	1 (0.4%)	1 (1.1%)
working proprietors (wholesale and retail trade)	5 (2.8%)	17 (3.8%)	19 (1.4%)	21 (4.2%)	22 (3.9%)	9 (9.4%)	10 (2.9%)	6 (2.6%)	1 (1.1%)

HISCO occupation class in census, by census

	1850	1860	enlistment	1870	1880	1890	1900	1910	1920	1930	1940
[unknown]	324	169	663	134	130	597	176	160	137	50	9
administration manager						1 (1.0%)			1 (1.1%)
animal-drawn vehicle driver (road)		4 (0.9%)	36 (2.6%)	9 (1.8%)	7 (1.2%)	6 (6.3%)	4 (1.2%)	2 (0.9%)
bank teller				2 (0.4%)	1 (0.2%)			1 (0.4%)
barber hairdresser		1 (0.2%)		2 (0.4%)	1 (0.2%)
bartender		2 (0.4%)	2 (0.1%)		1 (0.2%)	1 (1.0%)	1 (0.3%)
basketmaker	1 (0.6%)	2 (0.4%)	3 (0.2%)		1 (0.2%)
beam warper	1 (0.6%)	2 (0.4%)		1 (0.2%)
blacksmith	2 (1.1%)	11 (2.4%)	21 (1.5%)	9 (1.8%)	11 (1.9%)	1 (1.0%)	4 (1.2%)	3 (1.3%)
boiler fireman					1 (0.2%)		5 (1.4%)	1 (0.4%)
boilersmith		1 (0.2%)	1 (0.1%)		2 (0.4%)	1 (1.0%)	2 (0.6%)
bookbinder		5 (1.1%)	8 (0.6%)	3 (0.6%)	1 (0.2%)		1 (0.3%)	1 (0.4%)
bookbinders and related workers, specialization unknown			1 (0.1%)
bookkeeper or cashier, specialisation unknown					1 (0.2%)		1 (0.3%)
bookkeeper, general		2 (0.4%)	2 (0.1%)		3 (0.5%)	2 (2.1%)	2 (0.6%)	2 (0.9%)	1 (1.1%)
brewer, general			1 (0.1%)
brick and tile moulder (hand or machine)	3 (1.7%)	7 (1.5%)	13 (0.9%)	6 (1.2%)	3 (0.5%)	1 (1.0%)	3 (0.9%)
bricklayer or stonemason	1 (0.6%)	1 (0.2%)	4 (0.3%)	10 (2.0%)	6 (1.1%)			1 (0.4%)
bricklayer or stonemason, specialization unknown	3 (1.7%)	5 (1.1%)	12 (0.9%)	5 (1.0%)	7 (1.2%)	1 (1.0%)	1 (0.3%)
broommaker			3 (0.2%)
brushmaker	1 (0.6%)		2 (0.1%)
building painter	6 (3.4%)	13 (2.9%)	30 (2.1%)	17 (3.4%)	19 (3.3%)	6 (6.3%)	9 (2.6%)	3 (1.3%)
butcher, general		3 (0.7%)	34 (2.4%)	4 (0.8%)	2 (0.4%)	2 (2.1%)
cabinetmaker	1 (0.6%)		8 (0.6%)	3 (0.6%)	1 (0.2%)	2 (2.1%)	1 (0.3%)
can't identify	48 (27.1%)	40 (8.8%)		32 (6.5%)	30 (5.3%)	7 (7.3%)	29 (8.4%)	25 (10.8%)	19 (20.9%)	13 (72.2%)	2 (9.2233720368547763E17%)
canvasser						1 (1.0%)
carpenter, general	9 (5.1%)	23 (5.1%)	58 (4.1%)	29 (5.8%)	30 (5.3%)	4 (4.2%)	18 (5.2%)	3 (1.3%)
carpet weaver (hand or machine)	1 (0.6%)	1 (0.2%)		4 (0.8%)	3 (0.5%)
cartwright	2 (1.1%)	6 (1.3%)	8 (0.6%)	1 (0.2%)	2 (0.4%)
cash desk cashier				1 (0.2%)
cashier, office or cash desk				3 (0.6%)			1 (0.3%)
census not found	151	135		149	153	675	240	314	417	566	153
cigar-maker, specialization unknown		1 (0.2%)	12 (0.9%)	2 (0.4%)	4 (0.7%)		2 (0.6%)	1 (0.4%)
clerical or related worker, specialization unknown	5 (2.8%)	9 (2.0%)	78 (5.6%)	9 (1.8%)	10 (1.8%)	5 (5.2%)	3 (0.9%)	1 (0.4%)	2 (2.2%)
cloth weaver (hand or machine)				1 (0.2%)	1 (0.2%)
cloth weaver (hand)		1 (0.2%)
cloth weaver (machine, except Jacquard Loom)		1 (0.2%)
coach-body builder	2 (1.1%)	3 (0.7%)	3 (0.2%)	2 (0.4%)	3 (0.5%)
commercial travellor or manufacturing agent, specialisation unknown			1 (0.1%)		1 (0.2%)	1 (1.0%)	2 (0.6%)	3 (1.3%)	1 (1.1%)
composer									1 (1.1%)
confectionary maker		2 (0.4%)	6 (0.4%)	2 (0.4%)	2 (0.4%)	1 (1.0%)	1 (0.3%)
construction carpenter	1 (0.6%)	1 (0.2%)		6 (1.2%)	3 (0.5%)		3 (0.9%)	8 (3.4%)	1 (1.1%)
cook, specialisation unknown				1 (0.2%)	1 (0.2%)		1 (0.3%)	1 (0.4%)
cooker (chemical and related processes)			3 (0.2%)
cooper	1 (0.6%)	3 (0.7%)	9 (0.6%)		3 (0.5%)	1 (1.0%)
copper plate printer	1 (0.6%)
day-labourer	1 (0.6%)	23 (5.1%)		6 (1.2%)	2 (0.4%)		32 (9.2%)
dental prosthesis maker and repairer		1 (0.2%)		1 (0.2%)
dentist, general			2 (0.1%)			1 (1.0%)	1 (0.3%)	1 (0.4%)
domestic servant, general		2 (0.4%)
drier operator (chemical and related processes)				2 (0.4%)
electrical and electrical products inspector and tester									1 (1.1%)
estate agent						2 (2.1%)	2 (0.6%)	2 (0.9%)
factory worker				12 (2.4%)	15 (2.6%)		1 (0.3%)		1 (1.1%)
farm worker, general		49 (10.8%)		41 (8.3%)	20 (3.5%)		5 (1.4%)	1 (0.4%)
fibre carder			1 (0.1%)
fibre preparers, specialization unknown							1 (0.3%)
fisherman, deep-see or inland and coastal worker		3 (0.7%)	8 (0.6%)	2 (0.4%)		1 (1.0%)
fur tailor or related worker, specialisation unknown							1 (0.3%)
furniture upholsterer	1 (0.6%)	2 (0.4%)		1 (0.2%)	1 (0.2%)	1 (1.0%)	1 (0.3%)
gardener							1 (0.3%)
gas fitter	1 (0.6%)	1 (0.2%)
general baker		3 (0.7%)	16 (1.1%)	3 (0.6%)	2 (0.4%)		1 (0.3%)
general farmer	26 (14.7%)	46 (10.2%)	179 (12.8%)	71 (14.3%)	118 (20.8%)		91 (26.2%)	44 (19.0%)	6 (6.6%)	1 (5.6%)
general manager			1 (0.1%)	2 (0.4%)	3 (0.5%)	1 (1.0%)	2 (0.6%)	1 (0.4%)	1 (1.1%)
general physician		1 (0.2%)		4 (0.8%)	7 (1.2%)	3 (3.1%)	5 (1.4%)	3 (1.3%)
general surgeon					1 (0.2%)
glass blower	1 (0.6%)	8 (1.8%)	18 (1.3%)	8 (1.6%)	5 (0.9%)	1 (1.0%)	2 (0.6%)
glass former, potter, or related worker, specialization unknown		1 (0.2%)					1 (0.3%)
goldsmith and silversmith		1 (0.2%)	1 (0.1%)	1 (0.2%)	1 (0.2%)	1 (1.0%)
gunsmith			1 (0.1%)		1 (0.2%)
hairdresser, specialization unknown			1 (0.1%)
hatter		1 (0.2%)	6 (0.4%)		2 (0.4%)
hide flesher and dehairer (hand)		1 (0.2%)
horse worker	1 (0.6%)	1 (0.2%)	5 (0.4%)	1 (0.2%)	1 (0.2%)
housebuilder, general			1 (0.1%)				1 (0.3%)
instrumentalist		1 (0.2%)	4 (0.3%)		1 (0.2%)			1 (0.4%)
insurance salesman				1 (0.2%)			2 (0.6%)	1 (0.4%)
janitor							2 (0.6%)	1 (0.4%)
jeweller, general		1 (0.2%)	4 (0.3%)	1 (0.2%)	1 (0.2%)		1 (0.3%)
judge								1 (0.4%)	1 (1.1%)
jurist (except lawyer, judge, or solicitor)				1 (0.2%)	1 (0.2%)
jurists, specialisation unknown				2 (0.4%)			2 (0.6%)	1 (0.4%)
labourer	31 (17.5%)	57 (12.6%)	311 (22.2%)	53 (10.7%)	77 (13.6%)	9 (9.4%)	17 (4.9%)	11 (4.7%)	2 (2.2%)
lathe setter operator			2 (0.1%)
lawyer	1 (0.6%)			2 (0.4%)	2 (0.4%)		1 (0.3%)
leather currier	1 (0.6%)	2 (0.4%)	5 (0.4%)	2 (0.4%)	2 (0.4%)		2 (0.6%)
leather dyer and stainer		1 (0.2%)
leather goods maker, general			1 (0.1%)
lithographer		2 (0.4%)	1 (0.1%)				1 (0.3%)
loader of ship, truck, wagon, or airplane			1 (0.1%)
loads and unloads ships' cargoes			1 (0.1%)
locksmith		1 (0.2%)	1 (0.1%)		2 (0.4%)		1 (0.3%)	1 (0.4%)	1 (1.1%)
loggers, specialization unknown			1 (0.1%)	1 (0.2%)
loom fixer							1 (0.3%)
machinery fitter, machine assembler, ...			1 (0.1%)
mechanical engineering technician, specialization unknown	2 (1.1%)	2 (0.4%)	21 (1.5%)		3 (0.5%)		3 (0.9%)	2 (0.9%)	1 (1.1%)
messenger							2 (0.6%)	2 (0.9%)
metal moulder or coremaker, specialization unknown	1 (0.6%)	7 (1.5%)	21 (1.5%)	2 (0.4%)	2 (0.4%)	2 (2.1%)	1 (0.3%)
metal pourer	1 (0.6%)	2 (0.4%)	3 (0.2%)
metal rolling-mill worker, specialization unknown			3 (0.2%)
metal roofer				2 (0.4%)	2 (0.4%)		1 (0.3%)
military, specialization unknown			1 (0.1%)
milliner, general			1 (0.1%)
millwright	1 (0.6%)	3 (0.7%)	10 (0.7%)	4 (0.8%)	3 (0.5%)		1 (0.3%)
miner, general	1 (0.6%)	2 (0.4%)	19 (1.4%)	7 (1.4%)	8 (1.4%)		2 (0.6%)	1 (0.4%)
mineral and stone treaters, specialization unknown			1 (0.1%)
minister of religion	1 (0.6%)	2 (0.4%)	1 (0.1%)	2 (0.4%)	2 (0.4%)		4 (1.2%)	3 (1.3%)	2 (2.2%)
news vendor			1 (0.1%)
not checked	1361	1265		1250	1180	686	1269	1330	1397	1414	1897
not in work force	13 (7.3%)	1 (0.2%)	4 (0.3%)	3 (0.6%)	4 (0.7%)		13 (3.7%)	87 (37.5%)	64 (70.3%)	17 (94.4%)
nursery and garden workers, unspecified	1 (0.6%)	2 (0.4%)	13 (0.9%)	1 (0.2%)	5 (0.9%)		2 (0.6%)	1 (0.4%)	1 (1.1%)
office cashier				4 (0.8%)	6 (1.1%)		1 (0.3%)	1 (0.4%)
organ builder				1 (0.2%)
other blacksmiths, toolmakers, and machine-tool operators not elsewhere classified		2 (0.4%)	2 (0.1%)		3 (0.5%)	1 (1.0%)	1 (0.3%)	1 (0.4%)
other bookkeepers, cashiers, and related workers								1 (0.4%)
other cabinetmaker			1 (0.1%)
other cooks								1 (0.4%)
other engineers					1 (0.2%)
other housekeeping and related service supervisors								1 (0.4%)
other loggers			1 (0.1%)
other metal grinders, polishers, and tool sharpeners		2 (0.4%)	1 (0.1%)	2 (0.4%)			1 (0.3%)
other military ranks			5 (0.4%)	2 (0.4%)	3 (0.5%)
other milliners and hat makers	1 (0.6%)		2 (0.1%)
other painters, construction		2 (0.4%)		3 (0.6%)	1 (0.2%)		2 (0.6%)
other production and related workers not elsewhere classified		1 (0.2%)	3 (0.2%)	1 (0.2%)	1 (0.2%)		1 (0.3%)
other protective service workers					2 (0.4%)
other ratings and boatmen	2 (1.1%)	4 (0.9%)	44 (3.1%)	2 (0.4%)	2 (0.4%)
other salesmen, shop assistants, and demonstrators			1 (0.1%)
other service workers, not elsewhere classified					1 (0.2%)
other transport conductors				1 (0.2%)
other transport equipment operators							1 (0.3%)
other university and higher education teachers							1 (0.3%)
other waiters, bartenders, and related workers		1 (0.2%)	1 (0.1%)
packer, hand or machine			3 (0.2%)				1 (0.3%)
painter		2 (0.4%)
paper hanger	2 (1.1%)	4 (0.9%)	6 (0.4%)	5 (1.0%)	4 (0.7%)
pawnbroker				1 (0.2%)	1 (0.2%)
photographer, general			1 (0.1%)	1 (0.2%)	1 (0.2%)		1 (0.3%)
pipe fitter, general				1 (0.2%)	1 (0.2%)
plasterer, general	5 (2.8%)	4 (0.9%)	5 (0.4%)	5 (1.0%)	6 (1.1%)	1 (1.0%)	3 (0.9%)	2 (0.9%)
plasterer, specialization unknown								1 (0.4%)
plater, general					1 (0.2%)
plumber, general			2 (0.1%)
policeman and other maintainers of law and order (except military)				2 (0.4%)	5 (0.9%)	4 (4.2%)	2 (0.6%)	1 (0.4%)
postman				1 (0.2%)	2 (0.4%)	1 (1.0%)	3 (0.9%)	3 (1.3%)
postmaster				1 (0.2%)
potter or related clay and abrasive former, specialisation unknown	1 (0.6%)	2 (0.4%)		1 (0.2%)
poultry farm worker, general					1 (0.2%)			1 (0.4%)
presser (hand)					1 (0.2%)	1 (1.0%)
printer, unknown specialization	2 (1.1%)	2 (0.4%)	21 (1.5%)	3 (0.6%)	3 (0.5%)	1 (1.0%)	1 (0.3%)
prison guard					1 (0.2%)			1 (0.4%)
production and related workers, specialization unknown	2 (1.1%)	1 (0.2%)	24 (1.7%)	8 (1.6%)	3 (0.5%)	4 (4.2%)
production supervisor or foreman, general					1 (0.2%)		1 (0.3%)
protective service workers, specialization unknown			2 (0.1%)		1 (0.2%)
pumpmaker			1 (0.1%)
quarryman, general		1 (0.2%)	1 (0.1%)
railway brakeman (freight train)			1 (0.1%)	1 (0.2%)	1 (0.2%)	1 (1.0%)
railway engine driver							1 (0.3%)	1 (0.4%)
railway engine-driver or fireman, specialisation unknown							2 (0.6%)
railway passenger train guard		1 (0.2%)			1 (0.2%)			1 (0.4%)
railway shunter				2 (0.4%)		1 (1.0%)
railway steam-engine fireman					1 (0.2%)
retail trade salesperson				1 (0.2%)	1 (0.2%)		3 (0.9%)
roofer, specialization unknown			3 (0.2%)
rope maker, general		1 (0.2%)		1 (0.2%)	1 (0.2%)
saddler and harness maker	1 (0.6%)		7 (0.5%)	2 (0.4%)	3 (0.5%)		2 (0.6%)	1 (0.4%)
salesman (specialization unknown)							1 (0.3%)
salesmen, shop assistants and demonstrators		1 (0.2%)					1 (0.3%)
salesperson, wholesale or retail trade		3 (0.7%)	4 (0.3%)	1 (0.2%)	5 (0.9%)	2 (2.1%)	3 (0.9%)	2 (0.9%)
saw repairer and sharpener			2 (0.1%)
sawyer, general		1 (0.2%)	1 (0.1%)	1 (0.2%)	2 (0.4%)			1 (0.4%)
seaman, able or ordinary	2 (1.1%)	2 (0.4%)	43 (3.1%)	4 (0.8%)			1 (0.3%)
sheet-metal worker, general		1 (0.2%)	1 (0.1%)
ship's carpenter	1 (0.6%)		6 (0.4%)
shoe cutter (hand)		1 (0.2%)
shoe-maker, general	2 (1.1%)	13 (2.9%)	50 (3.6%)	8 (1.6%)	9 (1.6%)	1 (1.0%)	4 (1.2%)
sign painter		1 (0.2%)		1 (0.2%)	1 (0.2%)		1 (0.3%)
slate and tile roofer				1 (0.2%)	1 (0.2%)		1 (0.3%)
spinner, thread and yarn	1 (0.6%)		2 (0.1%)		1 (0.2%)
spray-painter (except construction)		1 (0.2%)
stone cutter and finisher	3 (1.7%)	8 (1.8%)	13 (0.9%)	5 (1.0%)	1 (0.2%)		5 (1.4%)
stone letter cutter (hand)							1 (0.3%)
street vendor	1 (0.6%)	1 (0.2%)	9 (0.6%)	1 (0.2%)	5 (0.9%)		2 (0.6%)
sugar processor or refiner, specialization unknown			2 (0.1%)
supervisor and general foreman (mining, quarrying and well-drilling				1 (0.2%)
supervisor and general foreman (production of textiles and clothing manufacturing				1 (0.2%)	1 (0.2%)
supervisor, foreman, or inspector, specialization unknown						4 (4.2%)	3 (0.9%)	2 (0.9%)
surveyor's technician					1 (0.2%)
surveyor, general			1 (0.1%)
tailor, specialization unknown	4 (2.3%)	6 (1.3%)	16 (1.1%)	7 (1.4%)	5 (0.9%)		2 (0.6%)	1 (0.4%)
tanner or fellmonger, specialization unknown	2 (1.1%)		2 (0.1%)		1 (0.2%)
tax collector									1 (1.1%)
teacher, level and subject unknown	1 (0.6%)		1 (0.1%)	1 (0.2%)	1 (0.2%)	1 (1.0%)
teacher, level and subject unknown, not primary education				1 (0.2%)
teacher, level and subject unknown, not university and higher education level					1 (0.2%)		1 (0.3%)
telegrapher					1 (0.2%)
telephone or telegraph operator, specialization unknown			1 (0.1%)	1 (0.2%)
tinsmith	2 (1.1%)	4 (0.9%)	6 (0.4%)	1 (0.2%)	2 (0.4%)		1 (0.3%)
transport and communications supervisors					2 (0.4%)
transport conductor, specialisation unknown		3 (0.7%)	3 (0.2%)		1 (0.2%)	2 (2.1%)		1 (0.4%)
undertaker					1 (0.2%)		1 (0.3%)	1 (0.4%)
waste collector					1 (0.2%)
watch and clock assembler			2 (0.1%)	1 (0.2%)
watchman			1 (0.1%)	6 (1.2%)	3 (0.5%)	1 (1.0%)	4 (1.2%)	3 (1.3%)
weaver, specialization unknown	7 (4.0%)	9 (2.0%)	30 (2.1%)	2 (0.4%)	2 (0.4%)	2 (2.1%)
welders and flame cutters							1 (0.3%)	1 (0.4%)
well drillers, borers and related workers, specialization unknown					1 (0.2%)		1 (0.3%)
whip maker			2 (0.1%)
wire drawer (hand or machine)			1 (0.1%)
wood shipwright		1 (0.2%)	2 (0.1%)	2 (0.4%)	1 (0.2%)
wooden boatbuilder		1 (0.2%)	1 (0.1%)		1 (0.2%)
wooden furniture finisher	1 (0.6%)	3 (0.7%)	3 (0.2%)	1 (0.2%)
wooden pattern maker		1 (0.2%)	1 (0.1%)	1 (0.2%)	1 (0.2%)		1 (0.3%)
worker, no further information				1 (0.2%)	1 (0.2%)
working proprietor (cafe, bar, and snack bar)		1 (0.2%)		3 (0.6%)	3 (0.5%)			1 (0.4%)
working proprietor (catering, lodging or leisure services), specialisation unknown	1 (0.6%)	1 (0.2%)
working proprietor (hiring out)					1 (0.2%)	1 (1.0%)
working proprietor (hotel and restaurant)	1 (0.6%)	2 (0.4%)	3 (0.2%)		1 (0.2%)
working proprietor (restaurant)					3 (0.5%)		1 (0.3%)		1 (1.1%)
working proprietor (retail trade)	2 (1.1%)	8 (1.8%)	11 (0.8%)	11 (2.2%)	7 (1.2%)	2 (2.1%)	3 (0.9%)	3 (1.3%)	1 (1.1%)
working proprietor (wholesale or retail trade)	3 (1.7%)	9 (2.0%)	8 (0.6%)	10 (2.0%)	14 (2.5%)	6 (6.3%)	6 (1.7%)	2 (0.9%)
working proprietor (wholesale trade)							1 (0.3%)	1 (0.4%)
yarn, fabric, or garment dyer	1 (0.6%)		1 (0.1%)		1 (0.2%)		1 (0.3%)

Marital status, by census

	1880	1900	1910	1920	1930	1940
[unknown]		1	1
can't identify	30 (4.3%)	29 (5.6%)	25 (6.4%)	19 (8.3%)	13 (19.1%)	2 (22.2%)
census not found	153	240	314	417	566	153
divorced	2 (0.3%)	3 (0.6%)		1 (0.4%)
married	528 (75.6%)	337 (64.6%)	194 (49.6%)	66 (28.9%)	8 (11.8%)
not checked	1180	1269	1330	1397	1414	1897
single	54 (7.7%)	20 (3.8%)	9 (2.3%)	3 (1.3%)
widow	84 (12.0%)	107 (20.5%)	139 (35.5%)	127 (55.7%)	48 (70.6%)	8 (88.9%)
widowed/divorced	30 (4.3%)
widower		55 (10.5%)	49 (12.5%)	31 (13.6%)	12 (17.6%)	1 (11.1%)

State living in, by census

	1850	1860	1870	1880	1890	1900	1910	1920	1930	1940
Arizona				1 (0.1%)		1 (0.2%)
Arkansas						1 (0.2%)	1 (0.3%)	1 (0.4%)	1 (1.5%)	1 (11.1%)
California			1 (0.2%)	4 (0.6%)		4 (0.8%)	4 (1.0%)	5 (2.2%)	5 (7.4%)
Colorado			1 (0.2%)			1 (0.2%)	1 (0.3%)
Connecticut		1 (0.2%)	1 (0.2%)	1 (0.1%)		1 (0.2%)
Dakota Territory				1 (0.1%)
Delaware	2 (0.4%)	1 (0.2%)	2 (0.3%)	3 (0.4%)				1 (0.4%)	1 (1.5%)
Georgia						1 (0.2%)	1 (0.3%)	1 (0.4%)
Illinois			9 (1.4%)	9 (1.3%)		10 (1.9%)	10 (2.6%)	6 (2.6%)	3 (4.4%)	1 (11.1%)
Indiana			1 (0.2%)	2 (0.3%)		2 (0.4%)	2 (0.5%)	2 (0.9%)
Iowa			3 (0.5%)	7 (1.0%)		4 (0.8%)	3 (0.8%)	1 (0.4%)
Kansas			2 (0.3%)	5 (0.7%)		7 (1.3%)	6 (1.5%)	4 (1.8%)	2 (2.9%)
Kentucky		1 (0.2%)	1 (0.2%)	1 (0.1%)		1 (0.2%)	1 (0.3%)
Maine	1 (0.2%)	1 (0.2%)	1 (0.2%)	2 (0.3%)	2 (0.3%)	3 (0.6%)
Maryland	7 (1.4%)	6 (1.0%)	10 (1.6%)	9 (1.3%)	9 (1.3%)	9 (1.7%)	4 (1.0%)	1 (0.4%)
Massachusetts	3 (0.6%)	3 (0.5%)	2 (0.3%)	3 (0.4%)	4 (0.6%)	3 (0.6%)	2 (0.5%)	3 (1.3%)	1 (1.5%)
Michigan			2 (0.3%)	2 (0.3%)	3 (0.4%)	5 (1.0%)	4 (1.0%)	3 (1.3%)	2 (2.9%)
Minnesota				2 (0.3%)	3 (0.4%)	2 (0.4%)	2 (0.5%)	2 (0.9%)	2 (2.9%)
Mississippi			1 (0.2%)	1 (0.1%)
Missouri			3 (0.5%)	9 (1.3%)	9 (1.3%)	9 (1.7%)	8 (2.0%)	3 (1.3%)
Nebraska			1 (0.2%)	1 (0.1%)	9 (1.3%)	9 (1.7%)	3 (0.8%)	2 (0.9%)	2 (2.9%)
New Hampshire								1 (0.4%)
New Jersey	14 (2.8%)	10 (1.6%)	14 (2.2%)	14 (2.0%)	32 (4.6%)	17 (3.3%)	13 (3.3%)	13 (5.7%)	3 (4.4%)	1 (11.1%)
New Mexico						1 (0.2%)	1 (0.3%)	1 (0.4%)		1 (11.1%)
New York	4 (0.8%)	6 (1.0%)	4 (0.6%)	7 (1.0%)	9 (1.3%)	9 (1.7%)	5 (1.3%)	5 (2.2%)	2 (2.9%)
North Carolina								1 (0.4%)	1 (1.5%)	1 (11.1%)
Ohio	5 (1.0%)		4 (0.6%)	23 (3.3%)	21 (3.0%)	10 (1.9%)	11 (2.8%)	4 (1.8%)	2 (2.9%)
Oklahoma							2 (0.5%)	1 (0.4%)
Pasa Caballos						1 (0.2%)
Pennsylvania	461 (92.0%)	591 (95.2%)	556 (88.3%)	574 (82.2%)	556 (80.2%)	391 (74.8%)	287 (73.2%)	155 (68.0%)	33 (48.5%)	1 (11.1%)
Rhode Island			1 (0.2%)			1 (0.2%)
Tennessee							2 (0.5%)	1 (0.4%)
Texas			4 (0.6%)	2 (0.3%)	2 (0.3%)	2 (0.4%)	2 (0.5%)
Utah						1 (0.2%)	1 (0.3%)	1 (0.4%)
Vermont	1 (0.2%)
Virginia	2 (0.4%)	1 (0.2%)		3 (0.4%)	25 (3.6%)	11 (2.1%)	4 (1.0%)	3 (1.3%)	4 (5.9%)	2 (22.2%)
Washington					2 (0.3%)		1 (0.3%)		1 (1.5%)
Washington, District of Columbia	1 (0.2%)		3 (0.5%)	4 (0.6%)	2 (0.3%)	3 (0.6%)	6 (1.5%)	4 (1.8%)	2 (2.9%)	1 (11.1%)
West Virginia			1 (0.2%)	4 (0.6%)	3 (0.4%)	2 (0.4%)	2 (0.5%)	2 (0.9%)
Wisconsin			1 (0.2%)	3 (0.4%)	2 (0.3%)	1 (0.2%)	2 (0.5%)
Wyoming				1 (0.1%)			1 (0.3%)	1 (0.4%)	1 (1.5%)
Wyoming Territory			1 (0.2%)
can't identify	48 (9.6%)	40 (6.4%)	32 (5.1%)	30 (4.3%)	7 (1.0%)	29 (5.5%)	25 (6.4%)	19 (8.3%)	13 (19.1%)	2 (22.2%)
census not found	151	135	149	153	675	240	314	417	566	153
not checked	1361	1265	1250	1180	686	1269	1330	1397	1414	1897

Pennsylvania county living in, by census

	1850	1860	1870	1880	1890	1900	1910	1920	1930	1940
Adams	36 (1.7%)	47 (2.3%)	56 (2.7%)	49 (2.4%)	49 (2.4%)	39 (1.9%)	28 (1.4%)	15 (0.7%)	3 (0.1%)
Allegheny	3 (0.1%)	8 (0.4%)	12 (0.6%)	12 (0.6%)	21 (1.0%)	12 (0.6%)	11 (0.5%)	8 (0.4%)	2 (0.1%)
Armstrong	5 (0.2%)	4 (0.2%)	5 (0.2%)	6 (0.3%)	6 (0.3%)	6 (0.3%)	2 (0.1%)	1 (0.0%)	2 (0.1%)
Beaver					1 (0.0%)	1 (0.0%)	1 (0.0%)	1 (0.0%)
Bedford	35 (1.7%)	48 (2.3%)	42 (2.0%)	43 (2.1%)	43 (2.1%)	32 (1.6%)	26 (1.3%)	16 (0.8%)	5 (0.2%)
Berks	6 (0.3%)	5 (0.2%)	5 (0.2%)	6 (0.3%)	4 (0.2%)	5 (0.2%)	2 (0.1%)	3 (0.1%)
Blair	5 (0.2%)	6 (0.3%)	13 (0.6%)	13 (0.6%)	21 (1.0%)	14 (0.7%)	11 (0.5%)	7 (0.3%)	2 (0.1%)
Bradford	2 (0.1%)	2 (0.1%)	1 (0.0%)		2 (0.1%)	1 (0.0%)
Bucks	4 (0.2%)	6 (0.3%)	6 (0.3%)	6 (0.3%)	9 (0.4%)	8 (0.4%)	8 (0.4%)	2 (0.1%)
Butler	2 (0.1%)	1 (0.0%)	4 (0.2%)	6 (0.3%)	2 (0.1%)	3 (0.1%)	2 (0.1%)
Cambria	4 (0.2%)	1 (0.0%)			1 (0.0%)	1 (0.0%)	1 (0.0%)
Cameron					2 (0.1%)	1 (0.0%)	1 (0.0%)
Carbon			1 (0.0%)
Centre	1 (0.0%)	2 (0.1%)	5 (0.2%)	2 (0.1%)	5 (0.2%)	3 (0.1%)	2 (0.1%)
Chester	4 (0.2%)	3 (0.1%)	4 (0.2%)	6 (0.3%)	6 (0.3%)	6 (0.3%)	3 (0.1%)	2 (0.1%)
Clarion	2 (0.1%)	1 (0.0%)	1 (0.0%)	2 (0.1%)	1 (0.0%)	1 (0.0%)	1 (0.0%)	2 (0.1%)
Clearfield			2 (0.1%)	2 (0.1%)	1 (0.0%)
Clinton		1 (0.0%)	1 (0.0%)	1 (0.0%)	1 (0.0%)	1 (0.0%)	1 (0.0%)
Columbia			2 (0.1%)	2 (0.1%)	2 (0.1%)	2 (0.1%)	1 (0.0%)	1 (0.0%)
Cumberland	3 (0.1%)	1 (0.0%)	2 (0.1%)	4 (0.2%)	3 (0.1%)		2 (0.1%)	1 (0.0%)
Dauphin	3 (0.1%)	4 (0.2%)	5 (0.2%)	5 (0.2%)	5 (0.2%)	3 (0.1%)	4 (0.2%)	3 (0.1%)	1 (0.0%)
Delaware	6 (0.3%)	7 (0.3%)	8 (0.4%)	11 (0.5%)	10 (0.5%)	8 (0.4%)	6 (0.3%)	4 (0.2%)	2 (0.1%)
Elk			1 (0.0%)
Erie					5 (0.2%)		1 (0.0%)
Fayette	3 (0.1%)	1 (0.0%)	1 (0.0%)	1 (0.0%)	1 (0.0%)	1 (0.0%)	1 (0.0%)		1 (0.0%)	1 (0.0%)
Franklin	3 (0.1%)	3 (0.1%)	4 (0.2%)	3 (0.1%)	1 (0.0%)	1 (0.0%)	1 (0.0%)
Fulton	1 (0.0%)	1 (0.0%)	1 (0.0%)	1 (0.0%)	2 (0.1%)	1 (0.0%)	1 (0.0%)	1 (0.0%)
Greene	2 (0.1%)	2 (0.1%)	2 (0.1%)	1 (0.0%)
Huntingdon	14 (0.7%)	19 (0.9%)	14 (0.7%)	19 (0.9%)	17 (0.8%)	9 (0.4%)	9 (0.4%)	5 (0.2%)	1 (0.0%)
Indiana	1 (0.0%)	2 (0.1%)
Jefferson	1 (0.0%)	3 (0.1%)	3 (0.1%)	2 (0.1%)	2 (0.1%)	2 (0.1%)	3 (0.1%)	1 (0.0%)	1 (0.0%)
Juniata	2 (0.1%)	4 (0.2%)	1 (0.0%)	2 (0.1%)	3 (0.1%)	2 (0.1%)	1 (0.0%)
Lackawanna			1 (0.0%)	3 (0.1%)	2 (0.1%)	2 (0.1%)	1 (0.0%)	1 (0.0%)
Lancaster	4 (0.2%)	8 (0.4%)	8 (0.4%)	8 (0.4%)	8 (0.4%)	7 (0.3%)	5 (0.2%)	2 (0.1%)
Lebanon	2 (0.1%)	1 (0.0%)	1 (0.0%)		1 (0.0%)
Lehigh	1 (0.0%)			1 (0.0%)		1 (0.0%)	1 (0.0%)	1 (0.0%)	1 (0.0%)
Luzerne	1 (0.0%)	2 (0.1%)	4 (0.2%)	3 (0.1%)	3 (0.1%)	4 (0.2%)	4 (0.2%)	2 (0.1%)
Lycoming	1 (0.0%)	2 (0.1%)	3 (0.1%)	2 (0.1%)	6 (0.3%)	3 (0.1%)	1 (0.0%)	2 (0.1%)	1 (0.0%)
McKean				1 (0.0%)	1 (0.0%)
Mercer		1 (0.0%)	2 (0.1%)	1 (0.0%)	2 (0.1%)	2 (0.1%)	3 (0.1%)	2 (0.1%)
Mifflin	2 (0.1%)	1 (0.0%)	2 (0.1%)	1 (0.0%)	1 (0.0%)	1 (0.0%)	2 (0.1%)
Monroe	2 (0.1%)	2 (0.1%)	1 (0.0%)	1 (0.0%)	1 (0.0%)	1 (0.0%)	2 (0.1%)	2 (0.1%)
Montgomery	18 (0.9%)	21 (1.0%)	18 (0.9%)	19 (0.9%)	14 (0.7%)	13 (0.6%)	9 (0.4%)	5 (0.2%)
Montour	1 (0.0%)	1 (0.0%)	2 (0.1%)	1 (0.0%)	1 (0.0%)	1 (0.0%)
Northampton	1 (0.0%)	4 (0.2%)	4 (0.2%)	4 (0.2%)	4 (0.2%)	2 (0.1%)	2 (0.1%)	2 (0.1%)
Northumberland	9 (0.4%)	15 (0.7%)	6 (0.3%)	6 (0.3%)	5 (0.2%)	5 (0.2%)	3 (0.1%)	1 (0.0%)
Perry	2 (0.1%)		1 (0.0%)			1 (0.0%)	1 (0.0%)	1 (0.0%)
Philadelphia	240 (11.6%)	320 (15.5%)	276 (13.4%)	288 (14.0%)	252 (12.2%)	157 (7.6%)	101 (4.9%)	49 (2.4%)	7 (0.3%)
Potter			1 (0.0%)	1 (0.0%)		1 (0.0%)		1 (0.0%)
Schuylkill	1 (0.0%)	5 (0.2%)	3 (0.1%)	4 (0.2%)	8 (0.4%)	4 (0.2%)	4 (0.2%)	2 (0.1%)	1 (0.0%)
Somerset	10 (0.5%)	11 (0.5%)	11 (0.5%)	10 (0.5%)	11 (0.5%)	10 (0.5%)	7 (0.3%)	3 (0.1%)	2 (0.1%)
Susquehanna				1 (0.0%)
Tioga	3 (0.1%)	3 (0.1%)	2 (0.1%)	3 (0.1%)	2 (0.1%)	3 (0.1%)	2 (0.1%)
Union	3 (0.1%)	1 (0.0%)		1 (0.0%)
Venango	1 (0.0%)		1 (0.0%)
Wayne	4 (0.2%)	2 (0.1%)	2 (0.1%)	2 (0.1%)	1 (0.0%)	2 (0.1%)	2 (0.1%)	1 (0.0%)	1 (0.0%)
Westmoreland	4 (0.2%)	4 (0.2%)	4 (0.2%)	5 (0.2%)	5 (0.2%)	5 (0.2%)	5 (0.2%)	4 (0.2%)
Wyoming	1 (0.0%)
York	2 (0.1%)	5 (0.2%)	1 (0.0%)	3 (0.1%)	2 (0.1%)	3 (0.1%)	2 (0.1%)	1 (0.0%)
not Pennsylvania	1600 (77.6%)	1470 (71.3%)	1505 (73.0%)	1487 (72.1%)	1505 (73.0%)	1670 (81.0%)	1774 (86.1%)	1906 (92.5%)	2028 (98.4%)	2060 (100.0%)

School attendance, in 1850 and 1860

	1850	1860
can't identify	48 (9.6%)	40 (6.4%)
census not found	151	135
no	291 (58.1%)	524 (84.4%)
not checked	1361	1265
yes	210 (41.9%)	97 (15.6%)

Real property, in 1850-1870 and 1900-30 (soldier or widow)

	1850	1860	1870	1900	1910	1920
[unknown]	1512	1400	149	3	5	6
can't identify				29 (5.6%)	25 (6.5%)	19 (8.6%)
census not found				240	314	417
no	493 (89.8%)	559 (84.6%)	410 (61.9%)
not checked			1250	1269	1330	1397
not head				112 (21.5%)	119 (30.7%)	102 (45.9%)
owned				230 (44.2%)	173 (44.7%)	84 (37.8%)
rented				178 (34.2%)	95 (24.5%)	36 (16.2%)
yes	56 (10.2%)	102 (15.4%)	252 (38.1%)

Complexion

dark	588	36.0%
light	541	33.1%
[unknown]	428	%
fair	391	23.9%
florid	54	3.3%
ruddy	17	1.0%
sandy	17	1.0%
brown	6	0.4%
sallow	4	0.2%
hazel	3	0.2%
medium	3	0.2%
blue	2	0.1%
fresh	2	0.1%
grey	2	0.1%
black	1	0.1%
darkish	1	0.1%
mixed	1	0.1%

Court martials

not court martialed	1998	96.9%
court martialed	63	3.1%

Eye color

blue	584	35.8%
grey	482	29.5%
[unknown]	429	%
hazel	245	15.0%
dark	139	8.5%
brown	100	6.1%
light	44	2.7%
black	26	1.6%
gray	3	0.2%
dark blue	2	0.1%
light blue	2	0.1%
blue grey	1	0.1%
dark grey	1	0.1%
fair	1	0.1%
light brown	1	0.1%
red	1	0.1%

Eye color, hair color, and complexion

[unknown], [unknown], [unknown]	426	20.7%
blue, light, light	139	6.7%
grey, dark, dark	91	4.4%
dark, dark, dark	85	4.1%
grey, light, light	84	4.1%
blue, brown, fair	77	3.7%
blue, dark, dark	71	3.4%
hazel, dark, dark	55	2.7%
grey, brown, fair	47	2.3%
blue, brown, light	42	2.0%
brown, dark, dark	36	1.7%
blue, light, fair	35	1.7%
grey, brown, dark	33	1.6%
blue, dark, light	31	1.5%
grey, light, fair	31	1.5%
grey, brown, light	30	1.5%
grey, dark, fair	28	1.4%
hazel, brown, fair	28	1.4%
blue, brown, dark	26	1.3%
blue, dark, fair	26	1.3%
grey, dark, light	26	1.3%
hazel, light, light	25	1.2%
light, light, light	22	1.1%
grey, black, dark	21	1.0%
hazel, black, dark	20	1.0%
hazel, brown, light	18	0.9%
blue, sandy, fair	17	0.8%
hazel, dark, fair	17	0.8%
hazel, brown, dark	15	0.7%
brown, brown, dark	13	0.6%
dark, black, dark	13	0.6%
black, black, dark	12	0.6%
blue, black, dark	11	0.5%
hazel, dark, light	11	0.5%
hazel, light, fair	11	0.5%
dark, dark, light	10	0.5%
blue, brown, florid	9	0.4%
blue, grey, light	9	0.4%
brown, black, dark	9	0.4%
brown, brown, fair	9	0.4%
brown, dark, light	9	0.4%
blue, light, dark	8	0.4%
blue, grey, dark	7	0.3%
blue, sandy, florid	7	0.3%
blue, sandy, light	7	0.3%
light, dark, light	7	0.3%
blue, black, fair	6	0.3%
grey, grey, light	6	0.3%
blue, light brown, light	5	0.2%
blue, light, florid	5	0.2%
grey, black, light	5	0.2%
grey, brown, florid	5	0.2%
grey, brown, ruddy	5	0.2%
grey, dark, florid	5	0.2%
grey, light, dark	5	0.2%
hazel, sandy, fair	5	0.2%
hazel, sandy, florid	5	0.2%
black, dark, dark	4	0.2%
brown, brown, light	4	0.2%
brown, dark, fair	4	0.2%
brown, light, light	4	0.2%
dark, dark, fair	4	0.2%
grey, black, fair	4	0.2%
grey, red, light	4	0.2%
grey, sandy, fair	4	0.2%
grey, sandy, light	4	0.2%
hazel, black, fair	4	0.2%
hazel, grey, light	4	0.2%
black, brown, dark	3	0.1%
blue, auburn, light	3	0.1%
blue, grey, fair	3	0.1%
brown, grey, dark	3	0.1%
dark, brown, dark	3	0.1%
dark, brown, light	3	0.1%
dark, grey, dark	3	0.1%
grey, light brown, light	3	0.1%
grey, sandy, sandy	3	0.1%
hazel, brown, florid	3	0.1%
hazel, grey, dark	3	0.1%
light, dark, dark	3	0.1%
light, light, fair	3	0.1%
light, sandy, sandy	3	0.1%
[unknown], dark, dark	2	0.1%
black, black, light	2	0.1%
blue, black, florid	2	0.1%
blue, brown, brown	2	0.1%
blue, brown, medium	2	0.1%
blue, brown, sandy	2	0.1%
blue, chestnut, dark	2	0.1%
blue, dark brown, light	2	0.1%
blue, dark, florid	2	0.1%
blue, light, ruddy	2	0.1%
blue, red, light	2	0.1%
brown, light, fair	2	0.1%
brown, red, light	2	0.1%
dark, brown, fair	2	0.1%
dark, dark, hazel	2	0.1%
dark, light, dark	2	0.1%
dark, light, light	2	0.1%
gray, dark, dark	2	0.1%
grey, auburn, fair	2	0.1%
grey, black, brown	2	0.1%
grey, chestnut, light	2	0.1%
grey, dark brown, dark	2	0.1%
grey, dark, ruddy	2	0.1%
grey, grey, dark	2	0.1%
grey, grey, fair	2	0.1%
grey, light, florid	2	0.1%
grey, mixed, dark	2	0.1%
grey, sandy, dark	2	0.1%
hazel, dark brown, light	2	0.1%
hazel, dark, florid	2	0.1%
hazel, dark, ruddy	2	0.1%
hazel, dark, sandy	2	0.1%
hazel, sandy, dark	2	0.1%
hazel, sandy, light	2	0.1%
light blue, dark brown, fair	2	0.1%
light, light, dark	2	0.1%
[unknown], fair, florid	1	0.0%
black, brown, fair	1	0.0%
black, grey, dark	1	0.0%
black, light, fair	1	0.0%
black, light, light	1	0.0%
black, lightish, dark	1	0.0%
blue grey, brown, fair	1	0.0%
blue, auburn, fair	1	0.0%
blue, auburn, sandy	1	0.0%
blue, black, light	1	0.0%
blue, black, sallow	1	0.0%
blue, chestnut, light	1	0.0%
blue, dark auburn, light	1	0.0%
blue, dark, ruddy	1	0.0%
blue, dark, sandy	1	0.0%
blue, fair, fair	1	0.0%
blue, fair, light	1	0.0%
blue, grey, florid	1	0.0%
blue, light, [unknown]	1	0.0%
blue, light, brown	1	0.0%
blue, light, fresh	1	0.0%
blue, light, sandy	1	0.0%
blue, mixed, dark	1	0.0%
blue, mixed, fair	1	0.0%
blue, red, fair	1	0.0%
blue, red, ruddy	1	0.0%
blue, sandy, dark	1	0.0%
blue, sandy, ruddy	1	0.0%
blue, sandy, sandy	1	0.0%
brown, [unknown], fair	1	0.0%
brown, brown, florid	1	0.0%
brown, dark, grey	1	0.0%
brown, dark, sallow	1	0.0%
brown, grey, sallow	1	0.0%
dark blue, black, dark	1	0.0%
dark blue, brown, dark	1	0.0%
dark grey, black mixed, fair	1	0.0%
dark, brown, blue	1	0.0%
dark, dark, black	1	0.0%
dark, dark, blue	1	0.0%
dark, dark, florid	1	0.0%
dark, dark, grey	1	0.0%
dark, dark, medium	1	0.0%
dark, florid, hazel	1	0.0%
dark, grey, light	1	0.0%
dark, light, fair	1	0.0%
dark, light, florid	1	0.0%
fair, light, fair	1	0.0%
gray, brown, fair	1	0.0%
grey, auburn, light	1	0.0%
grey, black, [unknown]	1	0.0%
grey, black, florid	1	0.0%
grey, dark grey, dark	1	0.0%
grey, dark, brown	1	0.0%
grey, dark, darkish	1	0.0%
grey, dark, sandy	1	0.0%
grey, fair, dark	1	0.0%
grey, grey, sallow	1	0.0%
grey, light brown, dark	1	0.0%
grey, light, fresh	1	0.0%
grey, light, mixed	1	0.0%
grey, light, ruddy	1	0.0%
grey, lt brown, fair	1	0.0%
grey, red, dark	1	0.0%
grey, red, fair	1	0.0%
grey, sandy, florid	1	0.0%
grey, white, dark	1	0.0%
hazel, auburn, dark	1	0.0%
hazel, brown, ruddy	1	0.0%
hazel, dark brown, dark	1	0.0%
hazel, dark brown, ruddy	1	0.0%
hazel, grey, fair	1	0.0%
hazel, light brown, light	1	0.0%
hazel, light, dark	1	0.0%
hazel, red, fair	1	0.0%
hazel, sandy, sandy	1	0.0%
light brown, brown, dark	1	0.0%
light, brown, light	1	0.0%
light, dark, fair	1	0.0%
light, light grey, light	1	0.0%
light, light, sandy	1	0.0%
red, hazel, fair	1	0.0%

Personal name, in frequency order

John	333	16.2%
William	265	12.9%
James	135	6.6%
George	132	6.4%
Charles	96	4.7%
Thomas	78	3.8%
Henry	77	3.7%
Joseph	70	3.4%
Samuel	59	2.9%
David	51	2.5%
Robert	39	1.9%
Edward	37	1.8%
Daniel	35	1.7%
Patrick	34	1.6%
Jacob	29	1.4%
Francis	27	1.3%
Michael	27	1.3%
Alexander	19	0.9%
Andrew	19	0.9%
Isaac	19	0.9%
Peter	18	0.9%
Benjamin	16	0.8%
Frederick	16	0.8%
Albert	12	0.6%
Lewis	11	0.5%
Philip	11	0.5%
Richard	11	0.5%
Adam	10	0.5%
Franklin	10	0.5%
Amos	9	0.4%
Christian	8	0.4%
Martin	8	0.4%
Matthew	8	0.4%
Stephen	8	0.4%
Edwin	7	0.3%
Jeremiah	7	0.3%
Louis	7	0.3%
Aaron	6	0.3%
Elias	6	0.3%
Hugh	6	0.3%
Reuben	6	0.3%
Sylvester	6	0.3%
Theodore	5	0.2%
Abraham	4	0.2%
Alfred	4	0.2%
Augustus	4	0.2%
Bernard	4	0.2%
Elisha	4	0.2%
Emanuel	4	0.2%
Hiram	4	0.2%
Howard	4	0.2%
Jesse	4	0.2%
Morris	4	0.2%
Nicholas	4	0.2%
Oscar	4	0.2%
Simon	4	0.2%
Anthony	3	0.1%
Archibald	3	0.1%
Barney	3	0.1%
Cornelius	3	0.1%
Herman	3	0.1%
Israel	3	0.1%
Josiah	3	0.1%
Lawrence	3	0.1%
Owen	3	0.1%
Zachariah	3	0.1%
Abel	2	0.1%
Abner	2	0.1%
Absalom	2	0.1%
Annanias	2	0.1%
Calvin	2	0.1%
Carl	2	0.1%
Conrad	2	0.1%
Dennis	2	0.1%
Edgar	2	0.1%
Eli	2	0.1%
Enoch	2	0.1%
Ephraim	2	0.1%
Eugene	2	0.1%
Frank	2	0.1%
Harrison	2	0.1%
Harry	2	0.1%
Hezekiah	2	0.1%
Isaiah	2	0.1%
Jefferson	2	0.1%
Jerome	2	0.1%
Jonathan	2	0.1%
Joshua	2	0.1%
Marcus	2	0.1%
Mark	2	0.1%
Matthias	2	0.1%
Monroe	2	0.1%
Newton	2	0.1%
Noah	2	0.1%
Ralph	2	0.1%
Sebastian	2	0.1%
Silas	2	0.1%
Solomon	2	0.1%
Valentine	2	0.1%
Washington	2	0.1%
Adolph	1	0.0%
Adolphus	1	0.0%
Adrian	1	0.0%
Alem	1	0.0%
Alma	1	0.0%
Aloysius	1	0.0%
Alpheus	1	0.0%
Alva	1	0.0%
Alvin	1	0.0%
Ambrose	1	0.0%
Analzo	1	0.0%
Ansel	1	0.0%
Antonia	1	0.0%
Antonie	1	0.0%
Arthur	1	0.0%
Asa	1	0.0%
Asher	1	0.0%
Ashman	1	0.0%
Augustine	1	0.0%
Barnard	1	0.0%
Barnett	1	0.0%
Bartholomew	1	0.0%
Bartly	1	0.0%
Benneville	1	0.0%
Bently	1	0.0%
Casper	1	0.0%
Chester	1	0.0%
Cornell	1	0.0%
Cyrus	1	0.0%
Deitrick	1	0.0%
Dennison	1	0.0%
Dilman	1	0.0%
Donald	1	0.0%
Elbert	1	0.0%
Elliott	1	0.0%
Emmor	1	0.0%
Enos	1	0.0%
Foman	1	0.0%
Freeman	1	0.0%
Garrett	1	0.0%
Gerhard	1	0.0%
Godfried	1	0.0%
Gottlieb	1	0.0%
Griffith	1	0.0%
Gustavus	1	0.0%
H	1	0.0%
Hamilton	1	0.0%
Harold	1	0.0%
Harvey	1	0.0%
Hazlett	1	0.0%
Herbert	1	0.0%
Homer	1	0.0%
Horace	1	0.0%
Hosea	1	0.0%
Howell	1	0.0%
Isaacher	1	0.0%
J	1	0.0%
Jackson	1	0.0%
Japhet	1	0.0%
Jean	1	0.0%
Jennings	1	0.0%
Jerret	1	0.0%
Jerry	1	0.0%
Jervis	1	0.0%
Job	1	0.0%
Joel	1	0.0%
Johnson	1	0.0%
Jones	1	0.0%
Justus	1	0.0%
Kersey	1	0.0%
Kingsley	1	0.0%
Leroy	1	0.0%
Levi	1	0.0%
Lorenzo	1	0.0%
Luke	1	0.0%
Mahlon	1	0.0%
Malachi	1	0.0%
Mansfield	1	0.0%
Marks	1	0.0%
Maurice	1	0.0%
Maxillus	1	0.0%
Mayberry	1	0.0%
Meriners	1	0.0%
Merritt	1	0.0%
Miles	1	0.0%
Milton	1	0.0%
Montgomery	1	0.0%
Mordecai	1	0.0%
Morrison	1	0.0%
Nathan	1	0.0%
Neil	1	0.0%
Nesbit	1	0.0%
Norman	1	0.0%
Oliver	1	0.0%
Orlando	1	0.0%
Osborn	1	0.0%
Otho	1	0.0%
Otto	1	0.0%
Paul	1	0.0%
Penrose	1	0.0%
Preston	1	0.0%
Randolph	1	0.0%
Rinard	1	0.0%
Rudolph	1	0.0%
Salathiel	1	0.0%
Sanford	1	0.0%
Sephronas	1	0.0%
Simeon	1	0.0%
Skelton	1	0.0%
Steven	1	0.0%
Theophilus	1	0.0%
Tobias	1	0.0%
Wade	1	0.0%
Walter	1	0.0%
Wilbur	1	0.0%
Wilfred	1	0.0%
Winchester	1	0.0%
Xopher	1	0.0%

Personal name

Aaron	6	0.3%
Abel	2	0.1%
Abner	2	0.1%
Abraham	4	0.2%
Absalom	2	0.1%
Adam	10	0.5%
Adolph	1	0.0%
Adolphus	1	0.0%
Adrian	1	0.0%
Albert	12	0.6%
Alem	1	0.0%
Alexander	19	0.9%
Alfred	4	0.2%
Alma	1	0.0%
Aloysius	1	0.0%
Alpheus	1	0.0%
Alva	1	0.0%
Alvin	1	0.0%
Ambrose	1	0.0%
Amos	9	0.4%
Analzo	1	0.0%
Andrew	19	0.9%
Annanias	2	0.1%
Ansel	1	0.0%
Anthony	3	0.1%
Antonia	1	0.0%
Antonie	1	0.0%
Archibald	3	0.1%
Arthur	1	0.0%
Asa	1	0.0%
Asher	1	0.0%
Ashman	1	0.0%
Augustine	1	0.0%
Augustus	4	0.2%
Barnard	1	0.0%
Barnett	1	0.0%
Barney	3	0.1%
Bartholomew	1	0.0%
Bartly	1	0.0%
Benjamin	16	0.8%
Benneville	1	0.0%
Bently	1	0.0%
Bernard	4	0.2%
Calvin	2	0.1%
Carl	2	0.1%
Casper	1	0.0%
Charles	96	4.7%
Chester	1	0.0%
Christian	8	0.4%
Conrad	2	0.1%
Cornelius	3	0.1%
Cornell	1	0.0%
Cyrus	1	0.0%
Daniel	35	1.7%
David	51	2.5%
Deitrick	1	0.0%
Dennis	2	0.1%
Dennison	1	0.0%
Dilman	1	0.0%
Donald	1	0.0%
Edgar	2	0.1%
Edward	37	1.8%
Edwin	7	0.3%
Elbert	1	0.0%
Eli	2	0.1%
Elias	6	0.3%
Elisha	4	0.2%
Elliott	1	0.0%
Emanuel	4	0.2%
Emmor	1	0.0%
Enoch	2	0.1%
Enos	1	0.0%
Ephraim	2	0.1%
Eugene	2	0.1%
Foman	1	0.0%
Francis	27	1.3%
Frank	2	0.1%
Franklin	10	0.5%
Frederick	16	0.8%
Freeman	1	0.0%
Garrett	1	0.0%
George	132	6.4%
Gerhard	1	0.0%
Godfried	1	0.0%
Gottlieb	1	0.0%
Griffith	1	0.0%
Gustavus	1	0.0%
H	1	0.0%
Hamilton	1	0.0%
Harold	1	0.0%
Harrison	2	0.1%
Harry	2	0.1%
Harvey	1	0.0%
Hazlett	1	0.0%
Henry	77	3.7%
Herbert	1	0.0%
Herman	3	0.1%
Hezekiah	2	0.1%
Hiram	4	0.2%
Homer	1	0.0%
Horace	1	0.0%
Hosea	1	0.0%
Howard	4	0.2%
Howell	1	0.0%
Hugh	6	0.3%
Isaac	19	0.9%
Isaacher	1	0.0%
Isaiah	2	0.1%
Israel	3	0.1%
J	1	0.0%
Jackson	1	0.0%
Jacob	29	1.4%
James	135	6.6%
Japhet	1	0.0%
Jean	1	0.0%
Jefferson	2	0.1%
Jennings	1	0.0%
Jeremiah	7	0.3%
Jerome	2	0.1%
Jerret	1	0.0%
Jerry	1	0.0%
Jervis	1	0.0%
Jesse	4	0.2%
Job	1	0.0%
Joel	1	0.0%
John	333	16.2%
Johnson	1	0.0%
Jonathan	2	0.1%
Jones	1	0.0%
Joseph	70	3.4%
Joshua	2	0.1%
Josiah	3	0.1%
Justus	1	0.0%
Kersey	1	0.0%
Kingsley	1	0.0%
Lawrence	3	0.1%
Leroy	1	0.0%
Levi	1	0.0%
Lewis	11	0.5%
Lorenzo	1	0.0%
Louis	7	0.3%
Luke	1	0.0%
Mahlon	1	0.0%
Malachi	1	0.0%
Mansfield	1	0.0%
Marcus	2	0.1%
Mark	2	0.1%
Marks	1	0.0%
Martin	8	0.4%
Matthew	8	0.4%
Matthias	2	0.1%
Maurice	1	0.0%
Maxillus	1	0.0%
Mayberry	1	0.0%
Meriners	1	0.0%
Merritt	1	0.0%
Michael	27	1.3%
Miles	1	0.0%
Milton	1	0.0%
Monroe	2	0.1%
Montgomery	1	0.0%
Mordecai	1	0.0%
Morris	4	0.2%
Morrison	1	0.0%
Nathan	1	0.0%
Neil	1	0.0%
Nesbit	1	0.0%
Newton	2	0.1%
Nicholas	4	0.2%
Noah	2	0.1%
Norman	1	0.0%
Oliver	1	0.0%
Orlando	1	0.0%
Osborn	1	0.0%
Oscar	4	0.2%
Otho	1	0.0%
Otto	1	0.0%
Owen	3	0.1%
Patrick	34	1.6%
Paul	1	0.0%
Penrose	1	0.0%
Peter	18	0.9%
Philip	11	0.5%
Preston	1	0.0%
Ralph	2	0.1%
Randolph	1	0.0%
Reuben	6	0.3%
Richard	11	0.5%
Rinard	1	0.0%
Robert	39	1.9%
Rudolph	1	0.0%
Salathiel	1	0.0%
Samuel	59	2.9%
Sanford	1	0.0%
Sebastian	2	0.1%
Sephronas	1	0.0%
Silas	2	0.1%
Simeon	1	0.0%
Simon	4	0.2%
Skelton	1	0.0%
Solomon	2	0.1%
Stephen	8	0.4%
Steven	1	0.0%
Sylvester	6	0.3%
Theodore	5	0.2%
Theophilus	1	0.0%
Thomas	78	3.8%
Tobias	1	0.0%
Valentine	2	0.1%
Wade	1	0.0%
Walter	1	0.0%
Washington	2	0.1%
Wilbur	1	0.0%
Wilfred	1	0.0%
William	265	12.9%
Winchester	1	0.0%
Xopher	1	0.0%
Zachariah	3	0.1%

Hair color

dark	552	33.8%
[unknown]	427	%
light	398	24.4%
brown	390	23.9%
black	116	7.1%
sandy	66	4.0%
grey	48	2.9%
red	13	0.8%
dark brown	10	0.6%
light brown	10	0.6%
auburn	9	0.6%
chestnut	5	0.3%
fair	4	0.2%
mixed	4	0.2%
black mixed	1	0.1%
dark auburn	1	0.1%
dark grey	1	0.1%
florid	1	0.1%
hazel	1	0.1%
light grey	1	0.1%
lightish	1	0.1%
lt brown	1	0.1%
white	1	0.1%

Height (in inches), in frequency order

[unknown]	428	%
66.0	165	10.1%
68.0	165	10.1%
67.0	151	9.2%
65.0	109	6.7%
69.0	103	6.3%
64.0	91	5.6%
70.0	84	5.1%
67.5	80	4.9%
66.5	67	4.1%
65.5	66	4.0%
68.5	65	4.0%
64.5	53	3.2%
71.0	34	2.1%
72.0	33	2.0%
69.5	32	2.0%
63.0	31	1.9%
70.5	30	1.8%
63.5	24	1.5%
71.5	17	1.0%
66.75	15	0.9%
64.75	15	0.9%
67.75	13	0.8%
66.25	12	0.7%
60.0	12	0.7%
65.75	11	0.7%
65.25	11	0.7%
62.5	11	0.7%
68.75	10	0.6%
67.25	9	0.6%
62.0	9	0.6%
63.75	8	0.5%
73.0	7	0.4%
68.25	6	0.4%
63.25	6	0.4%
74.0	5	0.3%
61.5	5	0.3%
73.5	4	0.2%
64.25	4	0.2%
69.25	4	0.2%
62.75	4	0.2%
61.75	4	0.2%
62.25	3	0.2%
65.875	2	0.1%
75.0	2	0.1%
59.625	2	0.1%
62.625	2	0.1%
61.125	2	0.1%
64.875	2	0.1%
65.125	2	0.1%
70.75	2	0.1%
60.75	2	0.1%
60.5	2	0.1%
72.75	2	0.1%
68.125	2	0.1%
66.125	2	0.1%
69.875	1	0.1%
68.375	1	0.1%
64.375	1	0.1%
75.625	1	0.1%
67.375	1	0.1%
72.5	1	0.1%
60.875	1	0.1%
65.375	1	0.1%
61.0	1	0.1%
75.25	1	0.1%
69.75	1	0.1%
55.5	1	0.1%
59.75	1	0.1%
66.375	1	0.1%
67.125	1	0.1%
64.625	1	0.1%
69.125	1	0.1%
53.0	1	0.1%
59.0	1	0.1%

Height (in inches)

53.0	1	0.1%
55.5	1	0.1%
59.0	1	0.1%
59.625	2	0.1%
59.75	1	0.1%
60.0	12	0.7%
60.5	2	0.1%
60.75	2	0.1%
60.875	1	0.1%
61.0	1	0.1%
61.125	2	0.1%
61.5	5	0.3%
61.75	4	0.2%
62.0	9	0.6%
62.25	3	0.2%
62.5	11	0.7%
62.625	2	0.1%
62.75	4	0.2%
63.0	31	1.9%
63.25	6	0.4%
63.5	24	1.5%
63.75	8	0.5%
64.0	91	5.6%
64.25	4	0.2%
64.375	1	0.1%
64.5	53	3.2%
64.625	1	0.1%
64.75	15	0.9%
64.875	2	0.1%
65.0	109	6.7%
65.125	2	0.1%
65.25	11	0.7%
65.375	1	0.1%
65.5	66	4.0%
65.75	11	0.7%
65.875	2	0.1%
66.0	165	10.1%
66.125	2	0.1%
66.25	12	0.7%
66.375	1	0.1%
66.5	67	4.1%
66.75	15	0.9%
67.0	151	9.2%
67.125	1	0.1%
67.25	9	0.6%
67.375	1	0.1%
67.5	80	4.9%
67.75	13	0.8%
68.0	165	10.1%
68.125	2	0.1%
68.25	6	0.4%
68.375	1	0.1%
68.5	65	4.0%
68.75	10	0.6%
69.0	103	6.3%
69.125	1	0.1%
69.25	4	0.2%
69.5	32	2.0%
69.75	1	0.1%
69.875	1	0.1%
70.0	84	5.1%
70.5	30	1.8%
70.75	2	0.1%
71.0	34	2.1%
71.5	17	1.0%
72.0	33	2.0%
72.5	1	0.1%
72.75	2	0.1%
73.0	7	0.4%
73.5	4	0.2%
74.0	5	0.3%
75.0	2	0.1%
75.25	1	0.1%
75.625	1	0.1%
[unknown]	428	%

Height (in inches), summary

based on 1633 instances
minimum	53.0 inches
maximum	75.625 inches
median	67.0 inches
mode	66.0 / 68.0: 165 instances
mean	66.9 inches
standard deviation	2.52

Height (volunteers only)

based on 1118 instances
minimum	53.0 inches
maximum	75.625 inches
median	67.0 inches
mode	66.0: 122 instances
mean	66.9 inches
standard deviation	2.53

Height (drafted men only)

based on 218 instances
minimum	61.5 inches
maximum	73.0 inches
median	67.75 inches
mode	67.0 / 68.0 / 70.0: 27 instances
mean	67.5 inches
standard deviation	2.19

Height (substitutes only)

based on 296 instances
minimum	60.5 inches
maximum	75.25 inches
median	66.5 inches
mode	68.0: 33 instances
mean	66.6 inches
standard deviation	2.61

Occupation, in frequency order

	645	31.3%
laborer	309	15.0%
farmer	179	8.7%
clerk	78	3.8%
carpenter	58	2.8%
shoemaker	41	2.0%
boatman	34	1.6%
butcher	34	1.6%
painter	30	1.5%
weaver	30	1.5%
teamster	28	1.4%
sailor	23	1.1%
machinist	21	1.0%
printer	21	1.0%
blacksmith	20	1.0%
moulder	20	1.0%
seaman	20	1.0%
glass blower	18	0.9%
miner	18	0.9%
baker	16	0.8%
tailor	16	0.8%
gardener	13	0.6%
bricklayer	12	0.6%
cigarmaker	12	0.6%
brickmaker	11	0.5%
waterman	10	0.5%
cooper	9	0.4%
miller	9	0.4%
bookbinder	8	0.4%
fisherman	8	0.4%
mason	7	0.3%
hatter	6	0.3%
paperhanger	6	0.3%
ship carpenter	6	0.3%
tinsmith	6	0.3%
cabinet maker	5	0.2%
confectioner	5	0.2%
cordwainer	5	0.2%
engineer	5	0.2%
hostler	5	0.2%
huckster	5	0.2%
plasterer	5	0.2%
soldier	5	0.2%
stone cutter	5	0.2%
wheelwright	5	0.2%
grocer	4	0.2%
jeweller	4	0.2%
saddler	4	0.2%
salesman	4	0.2%
stone mason	4	0.2%
basketmaker	3	0.1%
bottler	3	0.1%
broommaker	3	0.1%
chairmaker	3	0.1%
coachmaker	3	0.1%
conductor	3	0.1%
dealer	3	0.1%
driver	3	0.1%
druggist	3	0.1%
drummer	3	0.1%
harness maker	3	0.1%
merchant	3	0.1%
roller	3	0.1%
roofer	3	0.1%
soapmaker	3	0.1%
tobacconist	3	0.1%
turner	3	0.1%
type founder	3	0.1%
varnisher	3	0.1%
wagonmaker	3	0.1%
bookkeeper	2	0.1%
bootmaker	2	0.1%
boxmaker	2	0.1%
brass turner	2	0.1%
brickmoulder	2	0.1%
brush maker	2	0.1%
carter	2	0.1%
currier	2	0.1%
fireman	2	0.1%
gilder	2	0.1%
grinder	2	0.1%
innkeeper	2	0.1%
morocco finisher	2	0.1%
nailor	2	0.1%
peddler	2	0.1%
plumber	2	0.1%
railroad worker	2	0.1%
saw grinder	2	0.1%
shipbuilder	2	0.1%
student	2	0.1%
tanner	2	0.1%
vendor	2	0.1%
watchmaker	2	0.1%
whipmaker	2	0.1%
agent	1	0.0%
axemaker	1	0.0%
bar keeper	1	0.0%
barman	1	0.0%
blind maker	1	0.0%
boat builder	1	0.0%
boilermaker	1	0.0%
bonnet presser	1	0.0%
bonnetboard maker	1	0.0%
book finisher	1	0.0%
boot fitter	1	0.0%
bootfitter	1	0.0%
brakeman	1	0.0%
brass moulder	1	0.0%
breakman	1	0.0%
brewer	1	0.0%
builder	1	0.0%
cabinetmaker	1	0.0%
carder	1	0.0%
carman	1	0.0%
carriage trimmer	1	0.0%
case maker	1	0.0%
cigar maker	1	0.0%
coach trim	1	0.0%
coachman	1	0.0%
coal heaver	1	0.0%
collier	1	0.0%
colourer	1	0.0%
combmaker	1	0.0%
confectionary	1	0.0%
dentist	1	0.0%
dipper	1	0.0%
drayman	1	0.0%
drill master	1	0.0%
dyer	1	0.0%
engraver	1	0.0%
fancy woolen worker	1	0.0%
fifer	1	0.0%
gas finisher	1	0.0%
gentleman	1	0.0%
guilder	1	0.0%
gunsmith	1	0.0%
hairdresser	1	0.0%
heater	1	0.0%
helper	1	0.0%
hopper	1	0.0%
hose maker	1	0.0%
hotel keeper	1	0.0%
ironworker	1	0.0%
ivory turner	1	0.0%
last maker	1	0.0%
leacher	1	0.0%
lead pounder	1	0.0%
leatherworker	1	0.0%
lithographer	1	0.0%
locksmith	1	0.0%
longshoreman	1	0.0%
lumberman	1	0.0%
manufacturer	1	0.0%
marble cutter	1	0.0%
mechanic	1	0.0%
mill sawyer	1	0.0%
milliner	1	0.0%
millwright	1	0.0%
morocco dresser	1	0.0%
newsboy	1	0.0%
night watchman	1	0.0%
operator	1	0.0%
paper dealer	1	0.0%
paper folder	1	0.0%
photographer	1	0.0%
polisher	1	0.0%
porter	1	0.0%
preacher	1	0.0%
pumpmaker	1	0.0%
quarry[worker?]	1	0.0%
railroad employee	1	0.0%
sargent	1	0.0%
scourer	1	0.0%
sheet iron worker	1	0.0%
shoecutter	1	0.0%
silversmith	1	0.0%
smith	1	0.0%
spinner	1	0.0%
spinster	1	0.0%
stock dealer	1	0.0%
storeboy	1	0.0%
storekeeper	1	0.0%
stove maker	1	0.0%
sugar refiner	1	0.0%
surveyor	1	0.0%
teacher	1	0.0%
telegraph operator	1	0.0%
toothmaker	1	0.0%
trucker	1	0.0%
unemployed	1	0.0%
veteran	1	0.0%
warehouseman	1	0.0%
wire worker	1	0.0%
wood cutter	1	0.0%
workman	1	0.0%

Occupation

	645	31.3%
agent	1	0.0%
axemaker	1	0.0%
baker	16	0.8%
bar keeper	1	0.0%
barman	1	0.0%
basketmaker	3	0.1%
blacksmith	20	1.0%
blind maker	1	0.0%
boat builder	1	0.0%
boatman	34	1.6%
boilermaker	1	0.0%
bonnet presser	1	0.0%
bonnetboard maker	1	0.0%
book finisher	1	0.0%
bookbinder	8	0.4%
bookkeeper	2	0.1%
boot fitter	1	0.0%
bootfitter	1	0.0%
bootmaker	2	0.1%
bottler	3	0.1%
boxmaker	2	0.1%
brakeman	1	0.0%
brass moulder	1	0.0%
brass turner	2	0.1%
breakman	1	0.0%
brewer	1	0.0%
bricklayer	12	0.6%
brickmaker	11	0.5%
brickmoulder	2	0.1%
broommaker	3	0.1%
brush maker	2	0.1%
builder	1	0.0%
butcher	34	1.6%
cabinet maker	5	0.2%
cabinetmaker	1	0.0%
carder	1	0.0%
carman	1	0.0%
carpenter	58	2.8%
carriage trimmer	1	0.0%
carter	2	0.1%
case maker	1	0.0%
chairmaker	3	0.1%
cigar maker	1	0.0%
cigarmaker	12	0.6%
clerk	78	3.8%
coach trim	1	0.0%
coachmaker	3	0.1%
coachman	1	0.0%
coal heaver	1	0.0%
collier	1	0.0%
colourer	1	0.0%
combmaker	1	0.0%
conductor	3	0.1%
confectionary	1	0.0%
confectioner	5	0.2%
cooper	9	0.4%
cordwainer	5	0.2%
currier	2	0.1%
dealer	3	0.1%
dentist	1	0.0%
dipper	1	0.0%
drayman	1	0.0%
drill master	1	0.0%
driver	3	0.1%
druggist	3	0.1%
drummer	3	0.1%
dyer	1	0.0%
engineer	5	0.2%
engraver	1	0.0%
fancy woolen worker	1	0.0%
farmer	179	8.7%
fifer	1	0.0%
fireman	2	0.1%
fisherman	8	0.4%
gardener	13	0.6%
gas finisher	1	0.0%
gentleman	1	0.0%
gilder	2	0.1%
glass blower	18	0.9%
grinder	2	0.1%
grocer	4	0.2%
guilder	1	0.0%
gunsmith	1	0.0%
hairdresser	1	0.0%
harness maker	3	0.1%
hatter	6	0.3%
heater	1	0.0%
helper	1	0.0%
hopper	1	0.0%
hose maker	1	0.0%
hostler	5	0.2%
hotel keeper	1	0.0%
huckster	5	0.2%
innkeeper	2	0.1%
ironworker	1	0.0%
ivory turner	1	0.0%
jeweller	4	0.2%
laborer	309	15.0%
last maker	1	0.0%
leacher	1	0.0%
lead pounder	1	0.0%
leatherworker	1	0.0%
lithographer	1	0.0%
locksmith	1	0.0%
longshoreman	1	0.0%
lumberman	1	0.0%
machinist	21	1.0%
manufacturer	1	0.0%
marble cutter	1	0.0%
mason	7	0.3%
mechanic	1	0.0%
merchant	3	0.1%
mill sawyer	1	0.0%
miller	9	0.4%
milliner	1	0.0%
millwright	1	0.0%
miner	18	0.9%
morocco dresser	1	0.0%
morocco finisher	2	0.1%
moulder	20	1.0%
nailor	2	0.1%
newsboy	1	0.0%
night watchman	1	0.0%
operator	1	0.0%
painter	30	1.5%
paper dealer	1	0.0%
paper folder	1	0.0%
paperhanger	6	0.3%
peddler	2	0.1%
photographer	1	0.0%
plasterer	5	0.2%
plumber	2	0.1%
polisher	1	0.0%
porter	1	0.0%
preacher	1	0.0%
printer	21	1.0%
pumpmaker	1	0.0%
quarry[worker?]	1	0.0%
railroad employee	1	0.0%
railroad worker	2	0.1%
roller	3	0.1%
roofer	3	0.1%
saddler	4	0.2%
sailor	23	1.1%
salesman	4	0.2%
sargent	1	0.0%
saw grinder	2	0.1%
scourer	1	0.0%
seaman	20	1.0%
sheet iron worker	1	0.0%
ship carpenter	6	0.3%
shipbuilder	2	0.1%
shoecutter	1	0.0%
shoemaker	41	2.0%
silversmith	1	0.0%
smith	1	0.0%
soapmaker	3	0.1%
soldier	5	0.2%
spinner	1	0.0%
spinster	1	0.0%
stock dealer	1	0.0%
stone cutter	5	0.2%
stone mason	4	0.2%
storeboy	1	0.0%
storekeeper	1	0.0%
stove maker	1	0.0%
student	2	0.1%
sugar refiner	1	0.0%
surveyor	1	0.0%
tailor	16	0.8%
tanner	2	0.1%
teacher	1	0.0%
teamster	28	1.4%
telegraph operator	1	0.0%
tinsmith	6	0.3%
tobacconist	3	0.1%
toothmaker	1	0.0%
trucker	1	0.0%
turner	3	0.1%
type founder	3	0.1%
unemployed	1	0.0%
varnisher	3	0.1%
vendor	2	0.1%
veteran	1	0.0%
wagonmaker	3	0.1%
warehouseman	1	0.0%
watchmaker	2	0.1%
waterman	10	0.5%
weaver	30	1.5%
wheelwright	5	0.2%
whipmaker	2	0.1%
wire worker	1	0.0%
wood cutter	1	0.0%
workman	1	0.0%

Occupation class, in frequency order

[unknown]	648	%
Artisans	428	30.3%
Manual laborers	416	29.4%
Semi-professionals and smaller proprietors	381	27.0%
Service and semi-skilled workers	107	7.6%
unknown class	61	4.3%
Professionals and large proprietors	16	1.1%
Not in labor force	4	0.3%

Occupation at enlistment, HISCO class

00000: not in work force	4	0.3%
03010: surveyor, general	1	0.1%
06310: dentist, general	2	0.1%
13000: teacher, level and subject unknown	1	0.1%
14120: minister of religion	1	0.1%
16310: photographer, general	1	0.1%
17140: instrumentalist	4	0.3%
21110: general manager	1	0.1%
30000: clerical or related worker, specialization unknown	78	5.6%
33110: bookkeeper, general	2	0.1%
36000: transport conductor, specialisation unknown	3	0.2%
38000: telephone or telegraph operator, specialization unknown	1	0.1%
41025: working proprietor (wholesale or retail trade)	8	0.6%
41030: working proprietor (retail trade)	11	0.8%
43200: commercial travellor or manufacturing agent, specialisation unknown	1	0.1%
45125: salesperson, wholesale or retail trade	4	0.3%
45190: other salesmen, shop assistants, and demonstrators	1	0.1%
45220: street vendor	9	0.6%
45240: news vendor	1	0.1%
51020: working proprietor (hotel and restaurant)	3	0.2%
53250: bartender	2	0.1%
53290: other waiters, bartenders, and related workers	1	0.1%
57000: hairdresser, specialization unknown	1	0.1%
58000: protective service workers, specialization unknown	2	0.1%
58300: military, specialization unknown	1	0.1%
58340: other military ranks	5	0.4%
58940: watchman	1	0.1%
61110: general farmer	179	12.8%
62460: horse worker	5	0.4%
62700: nursery and garden workers, unspecified	13	0.9%
63100: loggers, specialization unknown	1	0.1%
63190: other loggers	1	0.1%
64100: fisherman, deep-see or inland and coastal worker	8	0.6%
70000: production and related workers, specialization unknown	24	1.7%
71105: miner, general	19	1.4%
71110: quarryman, general	1	0.1%
71200: mineral and stone treaters, specialization unknown	1	0.1%
72200: metal rolling-mill worker, specialization unknown	3	0.2%
72420: metal pourer	3	0.2%
72500: metal moulder or coremaker, specialization unknown	21	1.5%
72725: wire drawer (hand or machine)	1	0.1%
73210: sawyer, general	1	0.1%
74220: cooker (chemical and related processes)	3	0.2%
75135: fibre carder	1	0.1%
75220: spinner, thread and yarn	2	0.1%
75400: weaver, specialization unknown	30	2.1%
75622: yarn, fabric, or garment dyer	1	0.1%
76100: tanner or fellmonger, specialization unknown	2	0.1%
76150: leather currier	5	0.4%
77120: millwright	10	0.7%
77200: sugar processor or refiner, specialization unknown	2	0.1%
77310: butcher, general	34	2.4%
77610: general baker	16	1.1%
77660: confectionary maker	6	0.4%
77810: brewer, general	1	0.1%
78200: cigar-maker, specialization unknown	12	0.9%
79100: tailor, specialization unknown	16	1.1%
79310: hatter	6	0.4%
79320: milliner, general	1	0.1%
79390: other milliners and hat makers	2	0.1%
80110: shoe-maker, general	50	3.6%
80310: leather goods maker, general	1	0.1%
80320: saddler and harness maker	7	0.5%
80390: whip maker	2	0.1%
81120: cabinetmaker	8	0.6%
81190: other cabinetmaker	1	0.1%
81920: coach-body builder	3	0.2%
81925: cartwright	8	0.6%
81930: cooper	9	0.6%
81935: wooden pattern maker	1	0.1%
81955: wooden furniture finisher	3	0.2%
82020: stone cutter and finisher	13	0.9%
83110: blacksmith	21	1.5%
83320: lathe setter operator	2	0.1%
83500: mechanical engineering technician, specialization unknown	21	1.5%
83550: saw repairer and sharpener	2	0.1%
83590: other metal grinders, polishers, and tool sharpeners	1	0.1%
83920: gunsmith	1	0.1%
83930: locksmith	1	0.1%
83990: other blacksmiths, toolmakers, and machine-tool operators not elsewhere classified	2	0.1%
84190: pumpmaker	1	0.1%
84220: watch and clock assembler	2	0.1%
84900: machinery fitter, machine assembler, ...	1	0.1%
87105: plumber, general	2	0.1%
87310: sheet-metal worker, general	1	0.1%
87340: tinsmith	6	0.4%
87350: boilersmith	1	0.1%
88010: jeweller, general	4	0.3%
88050: goldsmith and silversmith	1	0.1%
89120: glass blower	18	1.3%
89242: brick and tile moulder (hand or machine)	13	0.9%
91513: bricklayer or stonemason	4	0.3%
92100: printer, unknown specialization	21	1.5%
92415: lithographer	1	0.1%
92600: bookbinders and related workers, specialization unknown	1	0.1%
92625: bookbinder	8	0.6%
93120: building painter	30	2.1%
94220: basketmaker	3	0.2%
94230: brushmaker	2	0.1%
94240: broommaker	3	0.2%
94990: other production and related workers not elsewhere classified	3	0.2%
95100: bricklayer or stonemason, specialization unknown	12	0.9%
95300: roofer, specialization unknown	3	0.2%
95410: carpenter, general	58	4.1%
95440: wood shipwright	2	0.1%
95450: wooden boatbuilder	1	0.1%
95455: ship's carpenter	6	0.4%
95510: plasterer, general	5	0.4%
95910: housebuilder, general	1	0.1%
95925: paper hanger	6	0.4%
97120: loads and unloads ships' cargoes	1	0.1%
97125: loader of ship, truck, wagon, or airplane	1	0.1%
97152: packer, hand or machine	3	0.2%
98135: seaman, able or ordinary	43	3.1%
98190: other ratings and boatmen	44	3.1%
98420: railway brakeman (freight train)	1	0.1%
98620: animal-drawn vehicle driver (road)	36	2.6%
99910: labourer	311	22.2%
[unknown]	663	%

Occupation at enlistment, HISCO class (in frequency order)

[unknown]	663	%
99910: labourer	311	22.2%
61110: general farmer	179	12.8%
30000: clerical or related worker, specialization unknown	78	5.6%
95410: carpenter, general	58	4.1%
80110: shoe-maker, general	50	3.6%
98190: other ratings and boatmen	44	3.1%
98135: seaman, able or ordinary	43	3.1%
98620: animal-drawn vehicle driver (road)	36	2.6%
77310: butcher, general	34	2.4%
75400: weaver, specialization unknown	30	2.1%
93120: building painter	30	2.1%
70000: production and related workers, specialization unknown	24	1.7%
72500: metal moulder or coremaker, specialization unknown	21	1.5%
83110: blacksmith	21	1.5%
83500: mechanical engineering technician, specialization unknown	21	1.5%
92100: printer, unknown specialization	21	1.5%
71105: miner, general	19	1.4%
89120: glass blower	18	1.3%
77610: general baker	16	1.1%
79100: tailor, specialization unknown	16	1.1%
62700: nursery and garden workers, unspecified	13	0.9%
82020: stone cutter and finisher	13	0.9%
89242: brick and tile moulder (hand or machine)	13	0.9%
78200: cigar-maker, specialization unknown	12	0.9%
95100: bricklayer or stonemason, specialization unknown	12	0.9%
41030: working proprietor (retail trade)	11	0.8%
77120: millwright	10	0.7%
45220: street vendor	9	0.6%
81930: cooper	9	0.6%
41025: working proprietor (wholesale or retail trade)	8	0.6%
64100: fisherman, deep-see or inland and coastal worker	8	0.6%
81120: cabinetmaker	8	0.6%
81925: cartwright	8	0.6%
92625: bookbinder	8	0.6%
80320: saddler and harness maker	7	0.5%
77660: confectionary maker	6	0.4%
79310: hatter	6	0.4%
87340: tinsmith	6	0.4%
95455: ship's carpenter	6	0.4%
95925: paper hanger	6	0.4%
58340: other military ranks	5	0.4%
62460: horse worker	5	0.4%
76150: leather currier	5	0.4%
95510: plasterer, general	5	0.4%
00000: not in work force	4	0.3%
17140: instrumentalist	4	0.3%
45125: salesperson, wholesale or retail trade	4	0.3%
88010: jeweller, general	4	0.3%
91513: bricklayer or stonemason	4	0.3%
36000: transport conductor, specialisation unknown	3	0.2%
51020: working proprietor (hotel and restaurant)	3	0.2%
72200: metal rolling-mill worker, specialization unknown	3	0.2%
72420: metal pourer	3	0.2%
74220: cooker (chemical and related processes)	3	0.2%
81920: coach-body builder	3	0.2%
81955: wooden furniture finisher	3	0.2%
94220: basketmaker	3	0.2%
94240: broommaker	3	0.2%
94990: other production and related workers not elsewhere classified	3	0.2%
95300: roofer, specialization unknown	3	0.2%
97152: packer, hand or machine	3	0.2%
06310: dentist, general	2	0.1%
33110: bookkeeper, general	2	0.1%
53250: bartender	2	0.1%
58000: protective service workers, specialization unknown	2	0.1%
75220: spinner, thread and yarn	2	0.1%
76100: tanner or fellmonger, specialization unknown	2	0.1%
77200: sugar processor or refiner, specialization unknown	2	0.1%
79390: other milliners and hat makers	2	0.1%
80390: whip maker	2	0.1%
83320: lathe setter operator	2	0.1%
83550: saw repairer and sharpener	2	0.1%
83990: other blacksmiths, toolmakers, and machine-tool operators not elsewhere classified	2	0.1%
84220: watch and clock assembler	2	0.1%
87105: plumber, general	2	0.1%
94230: brushmaker	2	0.1%
95440: wood shipwright	2	0.1%
03010: surveyor, general	1	0.1%
13000: teacher, level and subject unknown	1	0.1%
14120: minister of religion	1	0.1%
16310: photographer, general	1	0.1%
21110: general manager	1	0.1%
38000: telephone or telegraph operator, specialization unknown	1	0.1%
43200: commercial travellor or manufacturing agent, specialisation unknown	1	0.1%
45190: other salesmen, shop assistants, and demonstrators	1	0.1%
45240: news vendor	1	0.1%
53290: other waiters, bartenders, and related workers	1	0.1%
57000: hairdresser, specialization unknown	1	0.1%
58300: military, specialization unknown	1	0.1%
58940: watchman	1	0.1%
63100: loggers, specialization unknown	1	0.1%
63190: other loggers	1	0.1%
71110: quarryman, general	1	0.1%
71200: mineral and stone treaters, specialization unknown	1	0.1%
72725: wire drawer (hand or machine)	1	0.1%
73210: sawyer, general	1	0.1%
75135: fibre carder	1	0.1%
75622: yarn, fabric, or garment dyer	1	0.1%
77810: brewer, general	1	0.1%
79320: milliner, general	1	0.1%
80310: leather goods maker, general	1	0.1%
81190: other cabinetmaker	1	0.1%
81935: wooden pattern maker	1	0.1%
83590: other metal grinders, polishers, and tool sharpeners	1	0.1%
83920: gunsmith	1	0.1%
83930: locksmith	1	0.1%
84190: pumpmaker	1	0.1%
84900: machinery fitter, machine assembler, ...	1	0.1%
87310: sheet-metal worker, general	1	0.1%
87350: boilersmith	1	0.1%
88050: goldsmith and silversmith	1	0.1%
92415: lithographer	1	0.1%
92600: bookbinders and related workers, specialization unknown	1	0.1%
95450: wooden boatbuilder	1	0.1%
95910: housebuilder, general	1	0.1%
97120: loads and unloads ships' cargoes	1	0.1%
97125: loader of ship, truck, wagon, or airplane	1	0.1%
98420: railway brakeman (freight train)	1	0.1%

Occupation at enlistment, HISCO major class

[unknown]	663	%
administrative and managerial workers	1	0.1%
agricultural, animal husbandry and forestry workers, fisherman, and hunters	207	14.8%
clerical and related workers	84	6.0%
not in work force	4	0.3%
production and related workers, transport equipment operators, and laborers	1041	74.5%
professional, technical, and related workers	10	0.7%
sales workers	35	2.5%
service workers	16	1.1%

Occupation at enlistment, HISCO minor class

[unknown]	663	%
labourers not elsewhere classified	311	22.2%
farmers	179	12.8%
transport equipment operators	124	8.9%
bricklayers, carpenters, and other construction workers	94	6.7%
clerical and related workers, specialization unknown	78	5.6%
food and beverage processors	69	4.9%
shoemakers and leather goods makers	60	4.3%
blacksmiths, toolmakers, and machine tool operators	51	3.6%
spinners, weavers, knitters, dyers, and related workers	34	2.4%
cabinetmakers and related woodworkers	33	2.4%
glass formers, potters, and related workers	31	2.2%
printers and related workers	31	2.2%
painters	30	2.1%
metal processors	28	2.0%
tailors, dressmakers, sewers, upholsterers, and related workers	25	1.8%
production and related workers, specialization unknown	24	1.7%
miners, quarrymen, well drillers, and related workers	21	1.5%
working proprietors (wholesale and retail trade)	19	1.4%
agricultural and animal husbandry workers	18	1.3%
salesmen, shop assistants, and related workers	15	1.1%
stone cutters and carvers	13	0.9%
tobacco preparers and tobacco product makers	12	0.9%
production and related workers not elsewhere classified	11	0.8%
plumbers, welders, sheet metal, and structural metal prepapers and erectors	10	0.7%
protective service workers	9	0.6%
fisherman, hunters, and related workers	8	0.6%
tanners, fellmongers, and pelt dressers	7	0.5%
jewellery and precious metal workers	5	0.4%
material handling and related equipment operators, dockers, and freight handlers	5	0.4%
composers and performing artists	4	0.3%
machinery fitters, machine assemblers, and precision-instrument makers (except electrical)	4	0.3%
not in work force	4	0.3%
paper and paperboard products makers	4	0.3%
chemical processors and related workers	3	0.2%
cooks, waiters, bartenders, and related workers	3	0.2%
transport conductors	3	0.2%
working proprietors (catering, lodging, and leisure services)	3	0.2%
bookkeepers, cashiers, and related workers	2	0.1%
forestry workers	2	0.1%
medical, dental, veterinary and related workers	2	0.1%
architects, engineers, and related technicians	1	0.1%
hairdressers, barbers, beauticians, and related workers	1	0.1%
managers	1	0.1%
sculptors, painters, photographers, and related creative artists	1	0.1%
teachers	1	0.1%
technical salesmen, commercial travellers, and manufacturing agents	1	0.1%
telephone and telegraph operators	1	0.1%
wood preparation workers and paper makers	1	0.1%
workers in religion	1	0.1%

Occupation class, by HISCO major class

	Artisans	Manual laborers	Not in labor force	Professionals and large proprietors	Semi-professionals and smaller proprietors	Service and semi-skilled workers	[unknown]	unknown class	total
[unknown]	0 (137.68)	3 (133.82)	0 (1.29)	5 (5.15)	0 (122.56)	3 (34.42)	648 (208.45)	4 (19.62)	663
administrative and managerial workers	0 (0.21)	0 (0.2)	0 (0.0)	1 (0.01)	0 (0.18)	0 (0.05)	0 (0.31)	0 (0.03)	1
agricultural, animal husbandry and forestry workers, fisherman, and hunters	0 (42.99)	6 (41.78)	0 (0.4)	0 (1.61)	187 (38.27)	13 (10.75)	0 (65.08)	1 (6.13)	207
clerical and related workers	0 (17.44)	0 (16.95)	0 (0.16)	0 (0.65)	84 (15.53)	0 (4.36)	0 (26.41)	0 (2.49)	84
not in work force	0 (0.83)	0 (0.81)	4 (0.01)	0 (0.03)	0 (0.74)	0 (0.21)	0 (1.26)	0 (0.12)	4
production and related workers, transport equipment operators, and laborers	428 (216.18)	406 (210.12)	0 (2.02)	1 (8.08)	76 (192.44)	82 (54.05)	0 (327.3)	48 (30.81)	1041
professional, technical, and related workers	0 (2.08)	0 (2.02)	0 (0.02)	2 (0.08)	8 (1.85)	0 (0.52)	0 (3.14)	0 (0.3)	10
sales workers	0 (7.27)	0 (7.06)	0 (0.07)	6 (0.27)	24 (6.47)	0 (1.82)	0 (11.0)	5 (1.04)	35
service workers	0 (3.32)	1 (3.23)	0 (0.03)	1 (0.12)	2 (2.96)	9 (0.83)	0 (5.03)	3 (0.47)	16
total	428	416	4	16	381	107	648	61	2061

chi square wasn't calculated because 43 expected values were less than 5

Occupation, at death

[unknown]	1741	%
laborer	32	10.0%
farmer	20	6.3%
carpenter	16	5.0%
painter	14	4.4%
retired	13	4.1%
soldier	11	3.4%
[none]	10	3.1%
gentleman	10	3.1%
bricklayer	7	2.2%
clerk	6	1.9%
none	6	1.9%
brickmaker	5	1.6%
retired farmer	5	1.6%
weaver	5	1.6%
glass blower	4	1.3%
salesman	4	1.3%
shoemaker	4	1.3%
butcher	3	0.9%
gent	3	0.9%
machinist	3	0.9%
merchant	3	0.9%
physician	3	0.9%
plasterer	3	0.9%
printer	3	0.9%
tailor	3	0.9%
wheelwright	3	0.9%
	2	0.6%
blacksmith	2	0.6%
bookkeeper	2	0.6%
driver	2	0.6%
labourer	2	0.6%
mason	2	0.6%
mechanic	2	0.6%
milk dealer	2	0.6%
paperhanger	2	0.6%
tinsmith	2	0.6%
undertaker	2	0.6%
U.S. Marshal	1	0.3%
US soldier	1	0.3%
agent	1	0.3%
artist	1	0.3%
attorney at law	1	0.3%
baker	1	0.3%
basketmaker	1	0.3%
boatman	1	0.3%
boilermaker	1	0.3%
box making	1	0.3%
brass finisher	1	0.3%
brass turner	1	0.3%
brick layer	1	0.3%
brick manufacturer	1	0.3%
brickmason	1	0.3%
broom salesman	1	0.3%
carpenter and inspector	1	0.3%
carpet manufacturer	1	0.3%
carter	1	0.3%
chairmaker	1	0.3%
chauffer	1	0.3%
coach painter	1	0.3%
collar maker	1	0.3%
collector	1	0.3%
combmaker	1	0.3%
confectioner	1	0.3%
constable	1	0.3%
cooper	1	0.3%
core maker	1	0.3%
court crier	1	0.3%
dealer	1	0.3%
dentist	1	0.3%
dyer	1	0.3%
ex sergeant of police	1	0.3%
fancy soapmaker	1	0.3%
fireman	1	0.3%
fisherman	1	0.3%
foreman [illegible--'Railroad Worker Co' (??)]	1	0.3%
freight agent	1	0.3%
furniture salesman	1	0.3%
gardener	1	0.3%
gold melter US Mint	1	0.3%
grave digger	1	0.3%
grocer	1	0.3%
hose maker	1	0.3%
hotel keeper	1	0.3%
huckster	1	0.3%
in book store	1	0.3%
in gas works	1	0.3%
lamplighter	1	0.3%
lampmaker	1	0.3%
last maker	1	0.3%
letter carrier	1	0.3%
locksmith	1	0.3%
manager	1	0.3%
medical doctor	1	0.3%
morocco dresser	1	0.3%
morocco finisher	1	0.3%
moulder	1	0.3%
night watchman	1	0.3%
nurse	1	0.3%
park guard	1	0.3%
potter	1	0.3%
president of an insurance co.	1	0.3%
retired city fireman	1	0.3%
retired gardener	1	0.3%
retired minister	1	0.3%
retired shopman	1	0.3%
retired stone mason	1	0.3%
ropemaker	1	0.3%
saddler	1	0.3%
safe maker	1	0.3%
sampler	1	0.3%
saw grinder	1	0.3%
saw maker	1	0.3%
segar maker	1	0.3%
ship builder	1	0.3%
ship joiner	1	0.3%
shipping clerk	1	0.3%
sign painter	1	0.3%
soap manufacturer	1	0.3%
soldier US Army	1	0.3%
soldier laborer	1	0.3%
stairbuilder	1	0.3%
steamfitter	1	0.3%
stevedore	1	0.3%
steward on steamer Republic	1	0.3%
stone mason	1	0.3%
sumaker [sc. shoemaker?]	1	0.3%
superintendent at Masonic Temple	1	0.3%
tin cutter	1	0.3%
tin roofer	1	0.3%
travelling salesman	1	0.3%
type founder	1	0.3%
type moulder	1	0.3%
varnisher	1	0.3%
volunteer	1	0.3%
watchman	1	0.3%
wharf builder	1	0.3%

Reason for leaving, in frequency order

was mustered out with the regiment	654	32.1%
was discharged on surgeon's certificate of disability	340	16.7%
deserted	296	14.5%
was discharged by general order	159	7.8%
was absent when the regiment mustered out	85	4.2%
was discharged when his term expired	72	3.5%
died (killed in action)	64	3.1%
was transferred to the Veterans' Reserve Corps	62	3.0%
died (of illness)	52	2.6%
died (of battle wounds)	49	2.4%
enlisted but not on other records	37	1.8%
was transferred	29	1.4%
[unknown]	26	%
was discharged by special order	26	1.3%
was discharged because underage	14	0.7%
was discharged	10	0.5%
was absent on furlough when the regiment mustered out	8	0.4%
was resigned	8	0.4%
died (accidentally killed)	7	0.3%
was discharged by habeas corpus	7	0.3%
died (in Confederate prison)	6	0.3%
died (probably of illness)	6	0.3%
unknown	5	0.2%
was dishonorably discharged by general court martial	5	0.2%
was missing in action	5	0.2%
was absent on detached duty when the regiment mustered out	4	0.2%
was discharged to be promoted	4	0.2%
died (by committing suicide)	3	0.1%
died (by drowning)	3	0.1%
was cashiered	3	0.1%
was dismissed	3	0.1%
was mustered out	3	0.1%
was absent without leave when the regiment mustered out	2	0.1%
disappears from records without explanation	1	0.0%
rejected by Board of Medical Examiners	1	0.0%
was discharged because overage	1	0.0%
was dropped from rolls	1	0.0%

Month of leaving the regiment, in frequency order

1865 July	808	39.2%
1865 June	113	5.5%
[unknown] [unknown]	82	4.0%
1865 May	75	3.6%
1862 December	41	2.0%
1862 April	40	1.9%
1865 March	40	1.9%
1863 February	37	1.8%
1864 June	37	1.8%
1864 September	36	1.7%
1862 August	34	1.6%
1864 May	33	1.6%
1861 December	32	1.6%
1862 May	32	1.6%
1863 January	31	1.5%
1864 March	31	1.5%
1863 July	29	1.4%
1861 October	28	1.4%
1862 September	28	1.4%
1864 November	28	1.4%
1865 April	27	1.3%
1862 June	26	1.3%
1863 May	25	1.2%
1864 December	25	1.2%
1862 March	22	1.1%
1862 October	21	1.0%
1863 March	21	1.0%
1862 January	20	1.0%
1861 November	17	0.8%
1862 July	17	0.8%
1864 February	17	0.8%
1864 October	17	0.8%
1864 August	16	0.8%
1863 April	15	0.7%
1863 June	15	0.7%
1863 September	15	0.7%
1864 July	14	0.7%
1861 September	13	0.6%
1863 November	13	0.6%
1862 November	12	0.6%
1863 December	11	0.5%
1864 April	11	0.5%
1864 January	10	0.5%
1865 February	10	0.5%
1862 February	9	0.4%
1865 January	9	0.4%
1863 August	7	0.3%
1865 August	4	0.2%
1863 October	3	0.1%
1865 October	2	0.1%
1865 December	1	0.0%
1865 September	1	0.0%

Deaths

did not die while in regiment	1871	90.8%
died while in regiment	190	9.2%

Deaths, by occupation class

	did not die while in regiment	died while in regiment	total
Artisans	381 (388.54)	47 (39.46)	428
Manual laborers	383 (377.65)	33 (38.35)	416
Not in labor force	3 (3.63)	1 (0.37)	4
Professionals and large proprietors	16 (14.52)	0 (1.48)	16
Semi-professionals and smaller proprietors	355 (345.88)	26 (35.12)	381
Service and semi-skilled workers	98 (97.14)	9 (9.86)	107
[unknown]	583 (588.26)	65 (59.74)	648
unknown class	52 (55.38)	9 (5.62)	61
total	1871	190	2061

values in parentheses are expected values
degrees of freedom: 7
chi-square: 10.66
p < 0.2
Cramer's V: 0.07

Deaths, by HISCO major occupation class

	did not die while in regiment	died while in regiment	total
[unknown]	597 (601.88)	66 (61.12)	663
administrative and managerial workers	1 (0.91)	0 (0.09)	1
agricultural, animal husbandry and forestry workers, fisherman, and hunters	192 (187.92)	15 (19.08)	207
clerical and related workers	79 (76.26)	5 (7.74)	84
not in work force	3 (3.63)	1 (0.37)	4
production and related workers, transport equipment operators, and laborers	940 (945.03)	101 (95.97)	1041
professional, technical, and related workers	10 (9.08)	0 (0.92)	10
sales workers	33 (31.77)	2 (3.23)	35
service workers	16 (14.52)	0 (1.48)	16
total	1871	190	2061

chi square wasn't calculated because 7 expected values were less than 5

Deaths, by whether original member

	not original member	original member	total
did not die while in regiment	1082 (1046.71)	789 (824.29)	1871
died while in regiment	71 (106.29)	119 (83.71)	190
total	1153	908	2061

values in parentheses are expected values
degrees of freedom: 1
chi-square: 29.29
p < 5.0E-4
Cramer's V: 0.12

Death age (very approximate!)

	did not die while in regiment	died while in regiment	total
17	0 (1.82)	2 (0.18)	2
18	1 (6.35)	6 (0.65)	7
19	2 (14.52)	14 (1.48)	16
20	1 (13.62)	14 (1.38)	15
21	3 (14.52)	13 (1.48)	16
22	1 (9.99)	10 (1.01)	11
23	3 (9.08)	7 (0.92)	10
24	4 (9.08)	6 (0.92)	10
25	2 (9.99)	9 (1.01)	11
26	1 (10.89)	11 (1.11)	12
27	3 (9.08)	7 (0.92)	10
28	3 (7.26)	5 (0.74)	8
29	5 (15.43)	12 (1.57)	17
30	4 (7.26)	4 (0.74)	8
31	1 (7.26)	7 (0.74)	8
32	8 (10.89)	4 (1.11)	12
33	4 (8.17)	5 (0.83)	9
34	7 (8.17)	2 (0.83)	9
35	7 (13.62)	8 (1.38)	15
36	4 (5.45)	2 (0.55)	6
37	6 (9.99)	5 (1.01)	11
38	8 (9.99)	3 (1.01)	11
39	11 (11.8)	2 (1.2)	13
40	6 (9.08)	4 (0.92)	10
41	7 (11.8)	6 (1.2)	13
42	16 (18.16)	4 (1.84)	20
43	11 (14.52)	5 (1.48)	16
44	8 (9.08)	2 (0.92)	10
45	11 (13.62)	4 (1.38)	15
46	19 (20.88)	4 (2.12)	23
47	5 (5.45)	1 (0.55)	6
48	13 (11.8)	0 (1.2)	13
49	8 (8.17)	1 (0.83)	9
50	14 (12.71)	0 (1.29)	14
51	5 (4.54)	0 (0.46)	5
52	12 (10.89)	0 (1.11)	12
53	15 (13.62)	0 (1.38)	15
54	13 (11.8)	0 (1.2)	13
55	10 (9.08)	0 (0.92)	10
56	16 (14.52)	0 (1.48)	16
57	17 (15.43)	0 (1.57)	17
58	17 (15.43)	0 (1.57)	17
59	22 (19.97)	0 (2.03)	22
60	13 (11.8)	0 (1.2)	13
61	12 (10.89)	0 (1.11)	12
62	19 (17.25)	0 (1.75)	19
63	19 (17.25)	0 (1.75)	19
64	25 (22.7)	0 (2.3)	25
65	28 (25.42)	0 (2.58)	28
66	27 (24.51)	0 (2.49)	27
67	21 (19.06)	0 (1.94)	21
68	28 (25.42)	0 (2.58)	28
69	32 (29.05)	0 (2.95)	32
70	28 (25.42)	0 (2.58)	28
71	30 (27.23)	0 (2.77)	30
72	31 (28.14)	0 (2.86)	31
73	26 (23.6)	0 (2.4)	26
74	24 (21.79)	0 (2.21)	24
75	32 (29.05)	0 (2.95)	32
76	29 (26.33)	0 (2.67)	29
77	30 (27.23)	0 (2.77)	30
78	28 (25.42)	0 (2.58)	28
79	28 (25.42)	0 (2.58)	28
80	31 (28.14)	0 (2.86)	31
81	20 (18.16)	0 (1.84)	20
82	27 (24.51)	0 (2.49)	27
83	23 (20.88)	0 (2.12)	23
84	17 (15.43)	0 (1.57)	17
85	12 (10.89)	0 (1.11)	12
86	15 (13.62)	0 (1.38)	15
87	5 (4.54)	0 (0.46)	5
88	13 (11.8)	0 (1.2)	13
89	5 (4.54)	0 (0.46)	5
90	3 (2.72)	0 (0.28)	3
91	3 (2.72)	0 (0.28)	3
92	5 (4.54)	0 (0.46)	5
93	2 (1.82)	0 (0.18)	2
94	3 (2.72)	0 (0.28)	3
96	2 (1.82)	0 (0.18)	2
[unknown]	841 (764.38)	1 (77.62)	842
total	1871	190	2061

chi square wasn't calculated because 89 expected values were less than 5

Death age (in decades) (very approximate!)

	did not die while in regiment	died while in regiment	total
1	3 (22.7)	22 (2.3)	25
2	26 (108.94)	94 (11.06)	120
3	60 (92.6)	42 (9.4)	102
4	104 (122.55)	31 (12.45)	135
5	141 (128.0)	0 (13.0)	141
6	224 (203.35)	0 (20.65)	224
7	286 (259.63)	0 (26.37)	286
8	168 (152.51)	0 (15.49)	168
9	18 (16.34)	0 (1.66)	18
[unknown]	841 (764.38)	1 (77.62)	842
total	1871	190	2061

values in parentheses are expected values
degrees of freedom: 9
chi-square: 1194.26
p < 5.0E-4
Cramer's V: 0.76

Death age by volunteer status

	[unknown]	draftee	substitute	volunteer	total
17	0 (0.0)	0 (0.3)	1 (0.31)	1 (1.38)	2
18	0 (0.01)	0 (1.07)	4 (1.09)	3 (4.84)	7
19	0 (0.02)	0 (2.44)	1 (2.48)	15 (11.05)	16
20	0 (0.02)	0 (2.29)	1 (2.33)	14 (10.36)	15
21	0 (0.02)	1 (2.44)	0 (2.48)	15 (11.05)	16
22	0 (0.02)	0 (1.68)	0 (1.71)	11 (7.6)	11
23	0 (0.01)	1 (1.52)	1 (1.55)	8 (6.91)	10
24	0 (0.01)	1 (1.52)	1 (1.55)	8 (6.91)	10
25	0 (0.02)	0 (1.68)	0 (1.71)	11 (7.6)	11
26	0 (0.02)	1 (1.83)	0 (1.86)	11 (8.29)	12
27	0 (0.01)	2 (1.52)	0 (1.55)	8 (6.91)	10
28	0 (0.01)	1 (1.22)	1 (1.24)	6 (5.53)	8
29	0 (0.02)	0 (2.59)	3 (2.64)	14 (11.75)	17
30	0 (0.01)	0 (1.22)	0 (1.24)	8 (5.53)	8
31	0 (0.01)	1 (1.22)	0 (1.24)	7 (5.53)	8
32	0 (0.02)	1 (1.83)	2 (1.86)	9 (8.29)	12
33	0 (0.01)	3 (1.37)	0 (1.4)	6 (6.22)	9
34	0 (0.01)	0 (1.37)	0 (1.4)	9 (6.22)	9
35	0 (0.02)	1 (2.29)	0 (2.33)	14 (10.36)	15
36	0 (0.01)	2 (0.91)	0 (0.93)	4 (4.15)	6
37	0 (0.02)	2 (1.68)	1 (1.71)	8 (7.6)	11
38	0 (0.02)	1 (1.68)	0 (1.71)	10 (7.6)	11
39	0 (0.02)	1 (1.98)	1 (2.02)	11 (8.98)	13
40	0 (0.01)	0 (1.52)	1 (1.55)	9 (6.91)	10
41	0 (0.02)	1 (1.98)	0 (2.02)	12 (8.98)	13
42	0 (0.03)	5 (3.05)	2 (3.11)	13 (13.82)	20
43	0 (0.02)	4 (2.44)	0 (2.48)	12 (11.05)	16
44	0 (0.01)	1 (1.52)	0 (1.55)	9 (6.91)	10
45	0 (0.02)	1 (2.29)	1 (2.33)	13 (10.36)	15
46	0 (0.03)	2 (3.5)	1 (3.57)	20 (15.89)	23
47	0 (0.01)	0 (0.91)	1 (0.93)	5 (4.15)	6
48	0 (0.02)	2 (1.98)	0 (2.02)	11 (8.98)	13
49	0 (0.01)	0 (1.37)	3 (1.4)	6 (6.22)	9
50	0 (0.02)	2 (2.13)	1 (2.17)	11 (9.67)	14
51	0 (0.01)	1 (0.76)	0 (0.78)	4 (3.45)	5
52	0 (0.02)	6 (1.83)	1 (1.86)	5 (8.29)	12
53	0 (0.02)	2 (2.29)	1 (2.33)	12 (10.36)	15
54	0 (0.02)	4 (1.98)	0 (2.02)	9 (8.98)	13
55	0 (0.01)	1 (1.52)	2 (1.55)	7 (6.91)	10
56	0 (0.02)	2 (2.44)	2 (2.48)	12 (11.05)	16
57	0 (0.02)	1 (2.59)	2 (2.64)	14 (11.75)	17
58	0 (0.02)	3 (2.59)	1 (2.64)	13 (11.75)	17
59	0 (0.03)	4 (3.35)	5 (3.42)	13 (15.2)	22
60	0 (0.02)	5 (1.98)	2 (2.02)	6 (8.98)	13
61	0 (0.02)	2 (1.83)	1 (1.86)	9 (8.29)	12
62	0 (0.03)	3 (2.89)	2 (2.95)	14 (13.13)	19
63	0 (0.03)	6 (2.89)	2 (2.95)	11 (13.13)	19
64	0 (0.04)	4 (3.81)	3 (3.88)	18 (17.27)	25
65	0 (0.04)	5 (4.27)	6 (4.35)	17 (19.35)	28
66	0 (0.04)	6 (4.11)	6 (4.19)	15 (18.66)	27
67	0 (0.03)	2 (3.2)	3 (3.26)	16 (14.51)	21
68	0 (0.04)	9 (4.27)	7 (4.35)	12 (19.35)	28
69	0 (0.05)	4 (4.88)	3 (4.97)	25 (22.11)	32
70	0 (0.04)	8 (4.27)	6 (4.35)	14 (19.35)	28
71	0 (0.04)	5 (4.57)	4 (4.66)	21 (20.73)	30
72	0 (0.05)	9 (4.72)	5 (4.81)	17 (21.42)	31
73	0 (0.04)	5 (3.96)	4 (4.04)	17 (17.96)	26
74	0 (0.03)	8 (3.66)	2 (3.73)	14 (16.58)	24
75	0 (0.05)	7 (4.88)	2 (4.97)	23 (22.11)	32
76	0 (0.04)	5 (4.42)	12 (4.5)	12 (20.04)	29
77	0 (0.04)	13 (4.57)	4 (4.66)	13 (20.73)	30
78	0 (0.04)	10 (4.27)	3 (4.35)	15 (19.35)	28
79	0 (0.04)	6 (4.27)	4 (4.35)	18 (19.35)	28
80	0 (0.05)	10 (4.72)	5 (4.81)	16 (21.42)	31
81	0 (0.03)	8 (3.05)	4 (3.11)	8 (13.82)	20
82	0 (0.04)	6 (4.11)	3 (4.19)	18 (18.66)	27
83	0 (0.03)	7 (3.5)	6 (3.57)	10 (15.89)	23
84	0 (0.02)	6 (2.59)	3 (2.64)	8 (11.75)	17
85	0 (0.02)	4 (1.83)	1 (1.86)	7 (8.29)	12
86	0 (0.02)	9 (2.29)	1 (2.33)	5 (10.36)	15
87	0 (0.01)	2 (0.76)	1 (0.78)	2 (3.45)	5
88	0 (0.02)	7 (1.98)	2 (2.02)	4 (8.98)	13
89	0 (0.01)	2 (0.76)	2 (0.78)	1 (3.45)	5
90	0 (0.0)	3 (0.46)	0 (0.47)	0 (2.07)	3
91	0 (0.0)	1 (0.46)	0 (0.47)	2 (2.07)	3
92	0 (0.01)	4 (0.76)	0 (0.78)	1 (3.45)	5
93	0 (0.0)	1 (0.3)	1 (0.31)	0 (1.38)	2
94	0 (0.0)	1 (0.46)	0 (0.47)	2 (2.07)	3
96	0 (0.0)	0 (0.3)	1 (0.31)	1 (1.38)	2
[unknown]	3 (1.23)	60 (128.28)	168 (130.73)	611 (581.76)	842
total	3	314	320	1424	2061

chi square wasn't calculated because 251 expected values were less than 5

Death age (by decade) by volunteer status

	[unknown]	draftee	substitute	volunteer	total
1	0 (0.04)	0 (3.81)	6 (3.88)	19 (17.27)	25
2	0 (0.17)	7 (18.28)	7 (18.63)	106 (82.91)	120
3	0 (0.15)	12 (15.54)	4 (15.84)	86 (70.47)	102
4	0 (0.2)	16 (20.57)	9 (20.96)	110 (93.28)	135
5	0 (0.21)	26 (21.48)	15 (21.89)	100 (97.42)	141
6	0 (0.33)	46 (34.13)	35 (34.78)	143 (154.77)	224
7	0 (0.42)	76 (43.57)	46 (44.41)	164 (197.61)	286
8	0 (0.24)	61 (25.6)	28 (26.08)	79 (116.08)	168
9	0 (0.03)	10 (2.74)	2 (2.79)	6 (12.44)	18
[unknown]	3 (1.23)	60 (128.28)	168 (130.73)	611 (581.76)	842
total	3	314	320	1424	2061

chi square wasn't calculated because 14 expected values were less than 5

Died while in regiment, by time in regiment (grouped)

	did not die while in regiment	died while in regiment	total
A: 0-9 days	124 (112.57)	0 (11.43)	124
B: 10-399 days	839 (834.28)	80 (84.72)	919
C: 400-799 days	424 (430.3)	50 (43.7)	474
D: 800-1199 days	173 (206.07)	54 (20.93)	227
E: 1200 or more days	228 (209.7)	3 (21.3)	231
[unknown]	83 (78.07)	3 (7.93)	86
total	1871	190	2061

values in parentheses are expected values
degrees of freedom: 5
chi-square: 92.14
p < 5.0E-4
Cramer's V: 0.21

Died while in regiment, by whether they served 90 days

	did not die while in regiment	died while in regiment	total
< 90 days	247 (242.39)	20 (24.61)	267
[unknown]	83 (78.07)	3 (7.93)	86
at least 90 days	1541 (1550.54)	167 (157.46)	1708
total	1871	190	2061

values in parentheses are expected values
degrees of freedom: 2
chi-square: 4.96
p < 0.1
Cramer's V: 0.05

Average death age (very approximate!)

based on 1219 instances
minimum	17 years
maximum	96 years
median	64 years
mode	69 / 75: 32 instances
mean	59.3 years
standard deviation	59.31

Average death age (very approximate!) (limited to volunteers)

based on 813 instances
minimum	17 years
maximum	96 years
median	58 years
mode	69: 25 instances
mean	55.3 years
standard deviation	55.32

Average death age (very approximate!) (limited to draftees)

based on 254 instances
minimum	21 years
maximum	94 years
median	72.0 years
mode	77: 13 instances
mean	68.5 years
standard deviation	68.61

Average death age (very approximate!) (limited to substitutes)

based on 152 instances
minimum	17 years
maximum	96 years
median	70.0 years
mode	76: 12 instances
mean	65.3 years
standard deviation	65.4

Average death age (very approximate!) (limited to men who died while in the regiment)

based on 189 instances
minimum	17 years
maximum	49 years
median	27 years
mode	19 / 20: 14 instances
mean	28.8 years
standard deviation	28.88

Average death age (very approximate!) (limited to men who did not die while in the regiment)

based on 1030 instances
minimum	18 years
maximum	96 years
median	68.0 years
mode	69 / 75: 32 instances
mean	64.9 years
standard deviation	64.92

Average death age (very approximate!) (limited to volunteers who did not die while in the regiment)

based on 647 instances
minimum	19 years
maximum	96 years
median	65 years
mode	69: 25 instances
mean	62.0 years
standard deviation	62.02

Average death age (very approximate!) (limited to draftees who did not die while in the regiment)

based on 242 instances
minimum	21 years
maximum	94 years
median	73.5 years
mode	77: 13 instances
mean	70.3 years
standard deviation	70.42

Average death age (very approximate!) (limited to substitutes who did not die while in the regiment)

based on 141 instances
minimum	18 years
maximum	96 years
median	71 years
mode	76: 12 instances
mean	68.5 years
standard deviation	68.61

Desertions

never deserted	1697	82.3%
deserted	364	17.7%

Number of known desertions

0	1697	82.3%
1	345	16.7%
2	17	0.8%
3	2	0.1%

Desertions, by age at enlistment (grouped)

	deserted	never deserted	total
0-19	54 (73.47)	362 (342.53)	416
20-29	191 (160.19)	716 (746.81)	907
30-39	74 (79.48)	376 (370.52)	450
40-	38 (46.1)	223 (214.9)	261
[unknown]	7 (4.77)	20 (22.23)	27
total	364	1697	2061

values in parentheses are expected values
degrees of freedom: 4
chi-square: 16.92
p < 0.0025
Cramer's V: 0.09

Desertions of volunteers, by age at enlistment (grouped)

	deserted	never deserted	total
0-19	44 (67.44)	274 (250.56)	318
20-29	156 (124.49)	431 (462.51)	587
30-39	63 (59.17)	216 (219.83)	279
40-	32 (45.81)	184 (170.19)	216
[unknown]	7 (5.09)	17 (18.91)	24
total	302	1122	1424

values in parentheses are expected values
degrees of freedom: 4
chi-square: 26.97
p < 5.0E-4
Cramer's V: 0.14

Desertions of drafted men, by age at enlistment (grouped)

	deserted	never deserted	total
0-19	0 (0.12)	3 (2.88)	3
20-29	4 (6.83)	161 (158.17)	165
30-39	4 (4.76)	111 (110.24)	115
40-	5 (1.24)	25 (28.76)	30
[unknown]	0 (0.04)	1 (0.96)	1
total	13	301	314

chi square wasn't calculated because 6 expected values were less than 5

Desertions of substitutes, by age at enlistment (grouped)

	deserted	never deserted	total
0-19	10 (14.55)	85 (80.45)	95
20-29	31 (23.58)	123 (130.42)	154
30-39	7 (8.57)	49 (47.43)	56
40-	1 (2.3)	14 (12.7)	15
total	49	271	320

values in parentheses are expected values
degrees of freedom: 3
chi-square: 5.64
p < 0.15
Cramer's V: 0.13

Desertion rate, by muster-in year

	deserted	never deserted	total
1861	215 (169.73)	746 (791.27)	961
1862	28 (31.97)	153 (149.03)	181
1863	3 (21.37)	118 (99.63)	121
1864	63 (61.11)	283 (284.89)	346
1865	55 (78.95)	392 (368.05)	447
[unknown]	0 (0.88)	5 (4.12)	5
total	364	1697	2061

values in parentheses are expected values
degrees of freedom: 5
chi-square: 44.4
p < 5.0E-4
Cramer's V: 0.15

Desertion rate, by muster-in year, volunteers only

	deserted	never deserted	total
1861	215 (203.81)	746 (757.19)	961
1862	28 (38.17)	152 (141.83)	180
1863	0 (2.54)	12 (9.46)	12
1864	53 (51.32)	189 (190.68)	242
1865	6 (5.51)	20 (20.49)	26
[unknown]	0 (0.64)	3 (2.36)	3
total	302	1122	1424

chi square wasn't calculated because 3 expected values were less than 5

Desertion rate, by muster-in year, draftees only

	deserted	never deserted	total
1863	2 (3.48)	82 (80.52)	84
1864	4 (3.11)	71 (71.89)	75
1865	7 (6.42)	148 (148.58)	155
total	13	301	314

chi square wasn't calculated because 2 expected values were less than 5

Desertion rate, by muster-in year, substitutes only

	deserted	never deserted	total
1862	0 (0.15)	1 (0.85)	1
1863	1 (3.68)	23 (20.33)	24
1864	6 (4.44)	23 (24.56)	29
1865	42 (40.73)	224 (225.27)	266
total	49	271	320

chi square wasn't calculated because 4 expected values were less than 5

Desertion rate, by time in regiment (grouped)

	deserted	never deserted	total
A: 0-9 days	78 (21.9)	46 (102.1)	124
B: 10-399 days	157 (162.31)	762 (756.69)	919
C: 400-799 days	37 (83.71)	437 (390.29)	474
D: 800-1199 days	37 (40.09)	190 (186.91)	227
E: 1200 or more days	29 (40.8)	202 (190.2)	231
[unknown]	26 (15.19)	60 (70.81)	86
total	364	1697	2061

values in parentheses are expected values
degrees of freedom: 5
chi-square: 220.18
p < 5.0E-4
Cramer's V: 0.33

Muster in date, in frequency order

20 August 1861	76	3.7%
28 February 1865	72	3.5%
21 September 1864	59	2.9%
24 March 1865	37	1.8%
28 March 1865	35	1.7%
23 March 1865	31	1.5%
27 March 1865	30	1.5%
23 September 1861	25	1.2%
15 March 1865	24	1.2%
17 September 1861	24	1.2%
2 March 1865	23	1.1%
22 March 1865	23	1.1%
16 March 1865	22	1.1%
7 October 1864	21	1.0%
2 December 1861	20	1.0%
21 August 1861	19	0.9%
9 September 1861	19	0.9%
18 September 1861	18	0.9%
29 March 1865	18	0.9%
11 March 1865	17	0.8%
15 October 1861	17	0.8%
21 March 1865	17	0.8%
24 September 1861	17	0.8%
25 September 1861	17	0.8%
30 September 1861	17	0.8%
7 October 1861	17	0.8%
10 September 1861	16	0.8%
20 November 1861	15	0.7%
8 October 1861	15	0.7%
10 October 1861	14	0.7%
16 September 1861	14	0.7%
3 October 1861	14	0.7%
19 September 1861	13	0.6%
27 August 1861	13	0.6%
27 September 1861	13	0.6%
4 December 1861	13	0.6%
4 November 1861	13	0.6%
19 November 1861	12	0.6%
19 October 1861	12	0.6%
2 September 1861	12	0.6%
24 August 1861	12	0.6%
25 March 1865	12	0.6%
25 October 1861	12	0.6%
1 October 1861	11	0.5%
14 October 1861	11	0.5%
16 November 1861	11	0.5%
18 October 1861	11	0.5%
23 August 1861	11	0.5%
3 February 1864	11	0.5%
4 February 1864	11	0.5%
17 July 1863	10	0.5%
2 October 1861	10	0.5%
20 September 1861	10	0.5%
21 October 1861	10	0.5%
22 October 1861	10	0.5%
26 January 1864	10	0.5%
15 July 1863	9	0.4%
21 September 1861	9	0.4%
25 November 1861	9	0.4%
29 October 1861	9	0.4%
6 November 1861	9	0.4%
9 February 1864	9	0.4%
1 March 1864	8	0.4%
10 July 1863	8	0.4%
11 October 1861	8	0.4%
11 September 1861	8	0.4%
12 November 1861	8	0.4%
13 November 1861	8	0.4%
14 November 1861	8	0.4%
16 July 1863	8	0.4%
18 March 1865	8	0.4%
20 March 1865	8	0.4%
8 November 1861	8	0.4%
10 September 1863	7	0.3%
14 January 1864	7	0.3%
14 September 1861	7	0.3%
16 December 1861	7	0.3%
20 January 1864	7	0.3%
21 January 1864	7	0.3%
22 November 1861	7	0.3%
27 November 1861	7	0.3%
27 September 1864	7	0.3%
28 August 1861	7	0.3%
28 January 1864	7	0.3%
28 October 1861	7	0.3%
29 August 1861	7	0.3%
29 February 1864	7	0.3%
29 November 1861	7	0.3%
30 August 1861	7	0.3%
5 November 1861	7	0.3%
6 February 1864	7	0.3%
6 September 1861	7	0.3%
8 October 1864	7	0.3%
1 December 1861	6	0.3%
1 November 1861	6	0.3%
10 February 1864	6	0.3%
12 February 1864	6	0.3%
12 September 1862	6	0.3%
15 February 1864	6	0.3%
15 November 1861	6	0.3%
16 September 1862	6	0.3%
17 March 1865	6	0.3%
18 November 1861	6	0.3%
2 February 1864	6	0.3%
24 July 1863	6	0.3%
26 December 1861	6	0.3%
27 January 1864	6	0.3%
30 January 1864	6	0.3%
4 October 1861	6	0.3%
4 September 1861	6	0.3%
9 August 1861	6	0.3%
9 October 1861	6	0.3%
1 August 1863	5	0.2%
11 August 1862	5	0.2%
12 August 1862	5	0.2%
12 December 1861	5	0.2%
12 October 1861	5	0.2%
12 September 1861	5	0.2%
13 July 1863	5	0.2%
13 March 1865	5	0.2%
18 September 1862	5	0.2%
2 November 1861	5	0.2%
20 February 1864	5	0.2%
20 July 1863	5	0.2%
23 December 1861	5	0.2%
23 October 1861	5	0.2%
27 February 1865	5	0.2%
28 September 1861	5	0.2%
5 February 1864	5	0.2%
9 September 1863	5	0.2%
[unknown]	5	%
10 September 1862	4	0.2%
11 December 1861	4	0.2%
11 November 1861	4	0.2%
13 February 1864	4	0.2%
13 September 1862	4	0.2%
14 March 1865	4	0.2%
16 October 1861	4	0.2%
17 January 1862	4	0.2%
17 May 1865	4	0.2%
17 October 1861	4	0.2%
18 July 1863	4	0.2%
20 January 1862	4	0.2%
21 November 1861	4	0.2%
22 August 1861	4	0.2%
24 February 1865	4	0.2%
24 October 1861	4	0.2%
25 February 1864	4	0.2%
26 November 1861	4	0.2%
30 March 1865	4	0.2%
7 August 1862	4	0.2%
8 February 1864	4	0.2%
9 December 1861	4	0.2%
9 January 1862	4	0.2%
9 September 1862	4	0.2%
1 September 1861	3	0.1%
10 December 1861	3	0.1%
10 October 1862	3	0.1%
11 March 1864	3	0.1%
11 September 1862	3	0.1%
12 January 1864	3	0.1%
13 February 1865	3	0.1%
13 September 1861	3	0.1%
15 January 1862	3	0.1%
15 March 1864	3	0.1%
15 September 1861	3	0.1%
16 August 1862	3	0.1%
16 March 1864	3	0.1%
18 February 1864	3	0.1%
19 August 1862	3	0.1%
2 August 1862	3	0.1%
2 March 1864	3	0.1%
2 September 1864	3	0.1%
20 December 1861	3	0.1%
22 January 1864	3	0.1%
23 August 1862	3	0.1%
23 January 1862	3	0.1%
24 September 1863	3	0.1%
26 August 1861	3	0.1%
26 October 1861	3	0.1%
27 February 1864	3	0.1%
28 November 1861	3	0.1%
3 December 1861	3	0.1%
3 September 1861	3	0.1%
30 July 1863	3	0.1%
30 November 1861	3	0.1%
30 October 1861	3	0.1%
4 August 1862	3	0.1%
5 October 1861	3	0.1%
6 August 1862	3	0.1%
7 April 1864	3	0.1%
7 November 1861	3	0.1%
8 March 1865	3	0.1%
9 March 1865	3	0.1%
9 November 1861	3	0.1%
1 August 1862	2	0.1%
1 January 1862	2	0.1%
1 June 1864	2	0.1%
10 March 1864	2	0.1%
10 March 1865	2	0.1%
11 January 1862	2	0.1%
12 March 1864	2	0.1%
12 November 1863	2	0.1%
13 January 1862	2	0.1%
14 February 1862	2	0.1%
14 March 1864	2	0.1%
15 October 1863	2	0.1%
16 February 1864	2	0.1%
18 December 1861	2	0.1%
18 January 1865	2	0.1%
18 March 1864	2	0.1%
19 September 1862	2	0.1%
2 August 1864	2	0.1%
2 January 1862	2	0.1%
2 September 1862	2	0.1%
20 August 1862	2	0.1%
21 December 1861	2	0.1%
21 January 1862	2	0.1%
21 November 1862	2	0.1%
22 July 1862	2	0.1%
22 July 1863	2	0.1%
22 March 1864	2	0.1%
23 February 1864	2	0.1%
24 February 1864	2	0.1%
24 January 1862	2	0.1%
24 November 1861	2	0.1%
25 February 1865	2	0.1%
25 January 1864	2	0.1%
25 March 1864	2	0.1%
26 February 1864	2	0.1%
26 September 1861	2	0.1%
27 August 1863	2	0.1%
27 March 1864	2	0.1%
28 December 1861	2	0.1%
29 August 1862	2	0.1%
29 January 1864	2	0.1%
29 July 1862	2	0.1%
3 July 1862	2	0.1%
3 September 1862	2	0.1%
31 August 1861	2	0.1%
31 August 1862	2	0.1%
31 August 1863	2	0.1%
31 March 1864	2	0.1%
31 October 1861	2	0.1%
4 March 1865	2	0.1%
4 September 1862	2	0.1%
5 August 1862	2	0.1%
5 January 1864	2	0.1%
5 September 1861	2	0.1%
5 September 1862	2	0.1%
6 December 1861	2	0.1%
6 February 1865	2	0.1%
6 March 1865	2	0.1%
6 September 1862	2	0.1%
7 December 1861	2	0.1%
7 January 1862	2	0.1%
7 March 1865	2	0.1%
8 January 1862	2	0.1%
9 August 1862	2	0.1%
1 April 1864	1	0.0%
1 February 1862	1	0.0%
1 January 1864	1	0.0%
1 March 1865	1	0.0%
10 February 1862	1	0.0%
10 January 1862	1	0.0%
10 January 1863	1	0.0%
10 January 1864	1	0.0%
10 March 1863	1	0.0%
10 November 1862	1	0.0%
10 November 1864	1	0.0%
11 December 1863	1	0.0%
11 February 1864	1	0.0%
11 July 1863	1	0.0%
11 November 1864	1	0.0%
11 September 1863	1	0.0%
12 August 1861	1	0.0%
12 August 1863	1	0.0%
12 January 1862	1	0.0%
12 June 1863	1	0.0%
12 October 1863	1	0.0%
13 August 1862	1	0.0%
13 February 1862	1	0.0%
13 January 1864	1	0.0%
13 March 1864	1	0.0%
13 November 1862	1	0.0%
13 October 1861	1	0.0%
13 October 1862	1	0.0%
13 October 1863	1	0.0%
13 September 1863	1	0.0%
14 April 1864	1	0.0%
14 February 1864	1	0.0%
14 January 1865	1	0.0%
14 July 1863	1	0.0%
14 July 1864	1	0.0%
14 November 1862	1	0.0%
14 November 1863	1	0.0%
14 October 1863	1	0.0%
15 December 1861	1	0.0%
15 February 1865	1	0.0%
15 January 1864	1	0.0%
15 July 1862	1	0.0%
15 September 1862	1	0.0%
15 September 1863	1	0.0%
16 August 1861	1	0.0%
16 February 1863	1	0.0%
16 January 1864	1	0.0%
16 July 1862	1	0.0%
17 December 1861	1	0.0%
17 November 1861	1	0.0%
17 September 1862	1	0.0%
18 January 1864	1	0.0%
18 June 1861	1	0.0%
18 June 1862	1	0.0%
19 August 1861	1	0.0%
19 February 1864	1	0.0%
19 January 1862	1	0.0%
19 January 1865	1	0.0%
19 July 1862	1	0.0%
19 June 1862	1	0.0%
19 March 1862	1	0.0%
19 March 1864	1	0.0%
19 September 1864	1	0.0%
2 August 1863	1	0.0%
2 December 1862	1	0.0%
2 February 1865	1	0.0%
2 March 1863	1	0.0%
2 October 1862	1	0.0%
20 March 1862	1	0.0%
20 October 1861	1	0.0%
20 September 1862	1	0.0%
20 September 1863	1	0.0%
21 February 1862	1	0.0%
21 February 1865	1	0.0%
21 January 1865	1	0.0%
21 July 1862	1	0.0%
21 June 1862	1	0.0%
21 November 1864	1	0.0%
22 February 1862	1	0.0%
22 February 1864	1	0.0%
22 February 1865	1	0.0%
22 July 1861	1	0.0%
22 May 1864	1	0.0%
22 September 1862	1	0.0%
23 April 1862	1	0.0%
23 August 1863	1	0.0%
23 February 1865	1	0.0%
23 July 1862	1	0.0%
23 July 1863	1	0.0%
23 June 1862	1	0.0%
23 June 1864	1	0.0%
23 November 1863	1	0.0%
23 September 1864	1	0.0%
24 December 1861	1	0.0%
24 July 1862	1	0.0%
24 March 1862	1	0.0%
24 November 1862	1	0.0%
25 December 1861	1	0.0%
26 August 1863	1	0.0%
26 July 1863	1	0.0%
26 March 1864	1	0.0%
27 August 1864	1	0.0%
27 December 1861	1	0.0%
27 January 1862	1	0.0%
27 July 1864	1	0.0%
27 June 1862	1	0.0%
27 October 1861	1	0.0%
28 August 1862	1	0.0%
28 August 1863	1	0.0%
28 February 1864	1	0.0%
28 May 1865	1	0.0%
28 September 1863	1	0.0%
28 September 1864	1	0.0%
29 April 1862	1	0.0%
29 January 1862	1	0.0%
29 June 1865	1	0.0%
29 March 1864	1	0.0%
3 April 1864	1	0.0%
3 April 1865	1	0.0%
3 February 1865	1	0.0%
3 January 1862	1	0.0%
3 June 1864	1	0.0%
3 March 1864	1	0.0%
3 May 1862	1	0.0%
30 August 1862	1	0.0%
30 August 1864	1	0.0%
30 January 1862	1	0.0%
30 July 1862	1	0.0%
30 July 1864	1	0.0%
31 January 1864	1	0.0%
31 January 1865	1	0.0%
31 July 1863	1	0.0%
4 January 1862	1	0.0%
4 July 1863	1	0.0%
4 June 1863	1	0.0%
4 October 1864	1	0.0%
5 April 1864	1	0.0%
5 December 1861	1	0.0%
5 November 1864	1	0.0%
5 September 1863	1	0.0%
6 November 1862	1	0.0%
6 October 1861	1	0.0%
7 March 1864	1	0.0%
8 July 1863	1	0.0%
8 September 1863	1	0.0%
9 December 1863	1	0.0%
9 January 1865	1	0.0%
9 July 1863	1	0.0%
9 September 1864	1	0.0%

Muster in day of week, in frequency order

Tuesday	481	23.4%
Wednesday	389	18.9%
Monday	330	16.1%
Thursday	304	14.8%
Friday	303	14.7%
Saturday	210	10.2%
Sunday	39	1.9%
[unknown]	5	%

Muster in month, in frequency order

1865 March	339	16.5%
1861 September	278	13.5%
1861 October	237	11.5%
1861 November	179	8.7%
1861 August	170	8.3%
1864 February	110	5.4%
1861 December	95	4.6%
1865 February	94	4.6%
1864 September	73	3.6%
1864 January	69	3.4%
1863 July	68	3.3%
1862 September	48	2.3%
1862 August	47	2.3%
1862 January	42	2.0%
1864 March	42	2.0%
1864 October	29	1.4%
1863 September	22	1.1%
1863 August	14	0.7%
1862 July	13	0.6%
1862 February	7	0.3%
1862 November	7	0.3%
1864 April	7	0.3%
1865 January	7	0.3%
1862 June	5	0.2%
1862 October	5	0.2%
1863 October	5	0.2%
1865 May	5	0.2%
[unknown]	5	%
1863 November	4	0.2%
1864 August	4	0.2%
1864 June	4	0.2%
1864 November	4	0.2%
1862 March	3	0.1%
1864 July	3	0.1%
1862 April	2	0.1%
1863 December	2	0.1%
1863 June	2	0.1%
1863 March	2	0.1%
1861 July	1	0.0%
1861 June	1	0.0%
1862 December	1	0.0%
1862 May	1	0.0%
1863 February	1	0.0%
1863 January	1	0.0%
1864 May	1	0.0%
1865 April	1	0.0%
1865 June	1	0.0%

Muster in place, in frequency order

US, Pennsylvania, Philadelphia	1341	68.5%
US, Pennsylvania, Franklin, Chambersburg	202	10.3%
[unknown]	104	%
US, Pennsylvania, Montgomery, Norristown	72	3.7%
US, Pennsylvania, Blair, Hollidaysburg	58	3.0%
US, Pennsylvania, Chester, West Chester	37	1.9%
US, Pennsylvania, Schuylkill, Pottsville	30	1.5%
US, Pennsylvania, Allegheny, Pittsburgh	29	1.5%
US, Pennsylvania, Lycoming, Williamsport	26	1.3%
US, Pennsylvania, Philadelphia, Frankford	20	1.0%
US, Pennsylvania, Dauphin, Harrisburg	18	0.9%
US, Pennsylvania, Berks, Reading	15	0.8%
US, Pennsylvania, Lancaster	13	0.7%
US, Washington, District of Columbia	13	0.7%
US, Pennsylvania, Westmoreland, Greensburg	9	0.5%
US, Pennsylvania, Allegheny	8	0.4%
US, Pennsylvania, Lackawanna, Scranton	7	0.4%
US, Pennsylvania, Northampton, Easton	7	0.4%
US, Pennsylvania, Northumberland, Milton	6	0.3%
US, Virginia, [unknown], Alexandria	6	0.3%
US, Pennsylvania, Crawford, Meadville	5	0.3%
US, Pennsylvania, Monroe	5	0.3%
US, Maryland, Baltimore	2	0.1%
US, Pennsylvania, Allegheny, Allegheny City	2	0.1%
US, Pennsylvania, Beaver, N Brinton	2	0.1%
US, Pennsylvania, Beaver, New Brighton	2	0.1%
US, Pennsylvania, Jefferson, Brookville	2	0.1%
US, Virginia, Alexandria	2	0.1%
US, Massachusetts, Hampden, Springfield	1	0.1%
US, Massachusetts, Hampshire, East Hampton	1	0.1%
US, New Jersey	1	0.1%
US, New York, Cayuga, Auburn	1	0.1%
US, New York, Oneida	1	0.1%
US, Pennsylvania, Armstrong	1	0.1%
US, Pennsylvania, Beaver, Brighton	1	0.1%
US, Pennsylvania, Blair	1	0.1%
US, Pennsylvania, Blair, Altoona	1	0.1%
US, Pennsylvania, Bradford, Tonawanda	1	0.1%
US, Pennsylvania, Butler	1	0.1%
US, Pennsylvania, Chester, , West Chester	1	0.1%
US, Pennsylvania, Cumberland, Carlisle	1	0.1%
US, Pennsylvania, Westmoreland, Greensburgh	1	0.1%
US, Pennsylvania, [unknown], Brinten	1	0.1%
US, Pennsylvania, [unknown], Brownsboro	1	0.1%
US, Virginia, Louisa, Gum Spring	1	0.1%
US, Virginia, [unknown], Portsmouth	1	0.1%

Time in regiment (in days)

0	86	4.4%
1	7	0.4%
10	2	0.1%
100	3	0.2%
1000	1	0.1%
1003	2	0.1%
1008	3	0.2%
1009	1	0.1%
101	1	0.1%
1011	1	0.1%
1012	1	0.1%
1013	2	0.1%
1016	2	0.1%
1017	2	0.1%
1018	2	0.1%
1019	1	0.1%
102	5	0.3%
1020	1	0.1%
1021	1	0.1%
1024	1	0.1%
1025	2	0.1%
1026	2	0.1%
1027	2	0.1%
103	10	0.5%
1030	1	0.1%
1031	1	0.1%
1032	2	0.1%
1033	1	0.1%
1034	1	0.1%
1036	1	0.1%
1037	1	0.1%
1038	2	0.1%
104	24	1.2%
1043	1	0.1%
1044	1	0.1%
1047	1	0.1%
105	19	1.0%
1052	2	0.1%
1055	1	0.1%
1056	1	0.1%
1059	2	0.1%
106	4	0.2%
1062	1	0.1%
1063	3	0.2%
1066	2	0.1%
1068	2	0.1%
1069	2	0.1%
107	11	0.6%
1073	1	0.1%
1078	1	0.1%
108	28	1.4%
1082	1	0.1%
1083	1	0.1%
1086	2	0.1%
1089	1	0.1%
109	27	1.4%
1091	1	0.1%
1095	1	0.1%
1096	15	0.8%
1097	1	0.1%
1098	1	0.1%
1099	1	0.1%
11	2	0.1%
110	20	1.0%
1101	3	0.2%
1102	2	0.1%
1104	1	0.1%
1106	1	0.1%
1107	1	0.1%
1108	6	0.3%
1109	2	0.1%
111	16	0.8%
1110	1	0.1%
1112	1	0.1%
1113	2	0.1%
1114	4	0.2%
1115	2	0.1%
1116	3	0.2%
1118	1	0.1%
1119	2	0.1%
112	11	0.6%
1120	1	0.1%
1123	3	0.2%
1124	1	0.1%
1125	2	0.1%
1126	1	0.1%
1127	3	0.2%
1128	1	0.1%
1129	1	0.1%
113	5	0.3%
1131	1	0.1%
1135	1	0.1%
1136	2	0.1%
1137	1	0.1%
1138	1	0.1%
114	9	0.5%
1140	2	0.1%
1141	1	0.1%
1143	1	0.1%
1146	2	0.1%
1148	1	0.1%
115	7	0.4%
1150	1	0.1%
1153	1	0.1%
1154	1	0.1%
1155	1	0.1%
116	20	1.0%
1160	1	0.1%
1163	1	0.1%
1164	1	0.1%
1168	1	0.1%
117	23	1.2%
1172	1	0.1%
1177	1	0.1%
118	4	0.2%
1183	1	0.1%
1186	1	0.1%
119	6	0.3%
1190	1	0.1%
1193	1	0.1%
12	1	0.1%
1208	1	0.1%
121	19	1.0%
1211	1	0.1%
1216	1	0.1%
1217	1	0.1%
122	4	0.2%
1224	1	0.1%
1229	1	0.1%
123	3	0.2%
124	5	0.3%
1242	1	0.1%
125	4	0.2%
126	5	0.3%
1260	1	0.1%
1261	2	0.1%
1266	2	0.1%
1267	1	0.1%
127	3	0.2%
1272	1	0.1%
1273	1	0.1%
1274	2	0.1%
1276	2	0.1%
1277	1	0.1%
128	2	0.1%
1280	1	0.1%
1284	1	0.1%
1285	2	0.1%
129	1	0.1%
1290	1	0.1%
1292	1	0.1%
1298	1	0.1%
1299	1	0.1%
13	1	0.1%
130	21	1.1%
1302	1	0.1%
1306	1	0.1%
1307	1	0.1%
1308	2	0.1%
1309	1	0.1%
131	1	0.1%
1313	1	0.1%
1314	3	0.2%
1315	1	0.1%
1316	3	0.2%
1317	2	0.1%
1318	1	0.1%
1319	2	0.1%
132	48	2.4%
1328	3	0.2%
1329	1	0.1%
133	5	0.3%
1332	2	0.1%
1333	1	0.1%
1334	3	0.2%
1335	2	0.1%
1336	2	0.1%
134	1	0.1%
1342	3	0.2%
1343	1	0.1%
1344	3	0.2%
1345	1	0.1%
1347	1	0.1%
1348	1	0.1%
135	3	0.2%
1350	1	0.1%
1354	5	0.3%
1355	1	0.1%
1356	3	0.2%
1357	1	0.1%
136	3	0.2%
1360	4	0.2%
1361	2	0.1%
1362	2	0.1%
1364	2	0.1%
1365	2	0.1%
1366	2	0.1%
1367	1	0.1%
1368	2	0.1%
1369	2	0.1%
137	1	0.1%
1372	5	0.3%
1374	1	0.1%
1375	2	0.1%
1376	2	0.1%
1377	1	0.1%
1378	2	0.1%
1379	4	0.2%
138	3	0.2%
1381	1	0.1%
1382	2	0.1%
1384	4	0.2%
1385	7	0.4%
1386	6	0.3%
1388	1	0.1%
1389	1	0.1%
139	1	0.1%
1390	3	0.2%
1391	4	0.2%
1392	1	0.1%
1393	9	0.5%
1394	1	0.1%
1397	2	0.1%
1398	4	0.2%
1399	2	0.1%
14	1	0.1%
1400	3	0.2%
1403	2	0.1%
1404	1	0.1%
1405	1	0.1%
1407	3	0.2%
1409	1	0.1%
141	1	0.1%
1410	4	0.2%
1411	2	0.1%
1412	1	0.1%
1413	3	0.2%
1416	2	0.1%
1417	7	0.4%
1418	2	0.1%
1419	4	0.2%
142	1	0.1%
1420	19	1.0%
1428	1	0.1%
143	2	0.1%
1431	5	0.3%
144	3	0.2%
1442	1	0.1%
145	3	0.2%
146	1	0.1%
1461	1	0.1%
147	4	0.2%
149	6	0.3%
15	1	0.1%
150	2	0.1%
151	2	0.1%
152	2	0.1%
153	1	0.1%
1530	1	0.1%
154	2	0.1%
1551	1	0.1%
156	1	0.1%
157	1	0.1%
158	2	0.1%
159	1	0.1%
16	1	0.1%
160	3	0.2%
161	3	0.2%
162	3	0.2%
163	1	0.1%
165	3	0.2%
166	1	0.1%
167	1	0.1%
170	2	0.1%
171	2	0.1%
172	4	0.2%
173	2	0.1%
174	2	0.1%
175	4	0.2%
176	1	0.1%
177	1	0.1%
178	2	0.1%
179	2	0.1%
18	1	0.1%
180	3	0.2%
182	3	0.2%
183	3	0.2%
186	2	0.1%
187	1	0.1%
188	2	0.1%
19	3	0.2%
190	1	0.1%
191	3	0.2%
193	1	0.1%
195	1	0.1%
196	4	0.2%
197	1	0.1%
198	1	0.1%
199	1	0.1%
2	8	0.4%
20	2	0.1%
201	1	0.1%
202	1	0.1%
203	1	0.1%
205	1	0.1%
208	3	0.2%
209	1	0.1%
21	6	0.3%
210	1	0.1%
211	1	0.1%
212	3	0.2%
214	3	0.2%
215	1	0.1%
216	1	0.1%
218	3	0.2%
219	1	0.1%
22	1	0.1%
222	2	0.1%
223	2	0.1%
226	3	0.2%
23	2	0.1%
230	4	0.2%
231	1	0.1%
232	1	0.1%
233	3	0.2%
234	2	0.1%
236	1	0.1%
237	1	0.1%
238	2	0.1%
239	1	0.1%
24	2	0.1%
240	1	0.1%
241	3	0.2%
242	2	0.1%
244	2	0.1%
245	2	0.1%
246	14	0.7%
247	3	0.2%
248	2	0.1%
249	1	0.1%
25	3	0.2%
250	3	0.2%
251	5	0.3%
252	14	0.7%
253	19	1.0%
254	2	0.1%
255	1	0.1%
256	5	0.3%
257	1	0.1%
258	1	0.1%
260	2	0.1%
261	1	0.1%
263	1	0.1%
264	2	0.1%
265	1	0.1%
266	1	0.1%
267	4	0.2%
27	3	0.2%
271	1	0.1%
272	2	0.1%
273	2	0.1%
274	3	0.2%
275	9	0.5%
276	12	0.6%
277	3	0.2%
278	5	0.3%
279	2	0.1%
28	2	0.1%
280	2	0.1%
281	1	0.1%
282	1	0.1%
285	3	0.2%
286	1	0.1%
29	1	0.1%
291	2	0.1%
292	1	0.1%
294	2	0.1%
295	2	0.1%
299	2	0.1%
3	3	0.2%
30	2	0.1%
302	2	0.1%
304	1	0.1%
305	1	0.1%
307	2	0.1%
309	4	0.2%
31	2	0.1%
310	2	0.1%
311	2	0.1%
313	1	0.1%
315	1	0.1%
317	2	0.1%
318	1	0.1%
32	2	0.1%
320	1	0.1%
323	1	0.1%
324	1	0.1%
325	1	0.1%
327	1	0.1%
328	1	0.1%
329	4	0.2%
33	2	0.1%
330	2	0.1%
332	2	0.1%
333	2	0.1%
335	1	0.1%
338	3	0.2%
339	1	0.1%
343	1	0.1%
345	1	0.1%
346	2	0.1%
348	2	0.1%
35	1	0.1%
350	1	0.1%
353	1	0.1%
354	1	0.1%
358	1	0.1%
36	4	0.2%
360	1	0.1%
361	1	0.1%
365	1	0.1%
366	1	0.1%
367	1	0.1%
368	1	0.1%
372	1	0.1%
375	1	0.1%
378	1	0.1%
38	3	0.2%
380	2	0.1%
381	2	0.1%
382	4	0.2%
383	1	0.1%
386	1	0.1%
389	2	0.1%
39	1	0.1%
391	1	0.1%
392	1	0.1%
393	1	0.1%
398	1	0.1%
399	1	0.1%
4	6	0.3%
40	2	0.1%
401	2	0.1%
402	5	0.3%
403	2	0.1%
404	2	0.1%
405	1	0.1%
407	1	0.1%
41	3	0.2%
410	2	0.1%
411	1	0.1%
413	3	0.2%
414	1	0.1%
415	1	0.1%
417	1	0.1%
419	1	0.1%
42	2	0.1%
420	2	0.1%
421	2	0.1%
422	1	0.1%
423	1	0.1%
425	1	0.1%
427	1	0.1%
428	4	0.2%
429	1	0.1%
43	1	0.1%
432	1	0.1%
433	1	0.1%
434	1	0.1%
435	1	0.1%
436	2	0.1%
437	2	0.1%
438	1	0.1%
439	2	0.1%
44	4	0.2%
441	1	0.1%
442	1	0.1%
443	1	0.1%
444	2	0.1%
447	2	0.1%
448	1	0.1%
449	1	0.1%
45	2	0.1%
451	1	0.1%
452	4	0.2%
453	2	0.1%
455	1	0.1%
456	3	0.2%
457	1	0.1%
458	3	0.2%
459	3	0.2%
46	1	0.1%
462	1	0.1%
464	1	0.1%
465	2	0.1%
466	1	0.1%
467	1	0.1%
468	1	0.1%
469	1	0.1%
47	2	0.1%
470	1	0.1%
471	2	0.1%
472	3	0.2%
475	6	0.3%
477	2	0.1%
478	2	0.1%
479	2	0.1%
48	1	0.1%
480	1	0.1%
481	1	0.1%
482	2	0.1%
483	2	0.1%
484	1	0.1%
485	1	0.1%
486	3	0.2%
487	2	0.1%
489	3	0.2%
490	2	0.1%
491	1	0.1%
493	2	0.1%
494	2	0.1%
496	3	0.2%
497	1	0.1%
498	2	0.1%
499	3	0.2%
5	5	0.3%
50	1	0.1%
500	3	0.2%
501	2	0.1%
502	3	0.2%
503	3	0.2%
506	3	0.2%
507	3	0.2%
508	2	0.1%
51	1	0.1%
510	3	0.2%
511	4	0.2%
512	3	0.2%
513	5	0.3%
514	1	0.1%
515	1	0.1%
516	1	0.1%
517	6	0.3%
518	5	0.3%
520	3	0.2%
521	2	0.1%
522	5	0.3%
523	5	0.3%
524	6	0.3%
525	2	0.1%
526	1	0.1%
527	1	0.1%
528	2	0.1%
529	5	0.3%
53	1	0.1%
530	7	0.4%
531	9	0.5%
535	1	0.1%
536	7	0.4%
537	4	0.2%
538	2	0.1%
54	6	0.3%
540	2	0.1%
541	3	0.2%
543	3	0.2%
544	2	0.1%
545	5	0.3%
549	1	0.1%
55	2	0.1%
551	1	0.1%
552	3	0.2%
556	3	0.2%
559	2	0.1%
56	1	0.1%
560	1	0.1%
562	2	0.1%
563	1	0.1%
565	1	0.1%
567	1	0.1%
568	1	0.1%
57	3	0.2%
571	1	0.1%
572	2	0.1%
573	1	0.1%
577	1	0.1%
579	2	0.1%
581	3	0.2%
582	1	0.1%
587	1	0.1%
588	1	0.1%
589	2	0.1%
59	1	0.1%
590	2	0.1%
592	1	0.1%
593	2	0.1%
594	1	0.1%
595	1	0.1%
596	3	0.2%
597	1	0.1%
598	2	0.1%
599	1	0.1%
6	2	0.1%
60	7	0.4%
600	1	0.1%
603	3	0.2%
604	1	0.1%
605	1	0.1%
606	2	0.1%
608	1	0.1%
61	2	0.1%
611	1	0.1%
614	2	0.1%
62	1	0.1%
621	2	0.1%
627	1	0.1%
629	1	0.1%
63	3	0.2%
630	1	0.1%
631	2	0.1%
634	2	0.1%
635	1	0.1%
637	1	0.1%
64	2	0.1%
641	2	0.1%
643	1	0.1%
647	1	0.1%
648	1	0.1%
649	1	0.1%
65	3	0.2%
650	1	0.1%
651	2	0.1%
652	1	0.1%
653	1	0.1%
654	1	0.1%
655	4	0.2%
659	1	0.1%
66	3	0.2%
662	1	0.1%
664	1	0.1%
665	1	0.1%
666	1	0.1%
667	1	0.1%
668	1	0.1%
669	6	0.3%
67	1	0.1%
670	6	0.3%
672	2	0.1%
674	1	0.1%
679	2	0.1%
68	1	0.1%
680	1	0.1%
682	1	0.1%
683	4	0.2%
684	1	0.1%
685	1	0.1%
687	1	0.1%
688	1	0.1%
692	1	0.1%
695	1	0.1%
696	1	0.1%
697	1	0.1%
698	2	0.1%
7	4	0.2%
70	1	0.1%
700	1	0.1%
703	2	0.1%
708	1	0.1%
709	7	0.4%
71	1	0.1%
711	3	0.2%
712	1	0.1%
713	2	0.1%
715	1	0.1%
717	6	0.3%
718	1	0.1%
719	2	0.1%
72	1	0.1%
721	5	0.3%
722	1	0.1%
723	5	0.3%
724	9	0.5%
725	3	0.2%
726	8	0.4%
727	1	0.1%
728	5	0.3%
73	3	0.2%
730	1	0.1%
731	8	0.4%
733	1	0.1%
734	1	0.1%
737	1	0.1%
742	1	0.1%
744	1	0.1%
745	1	0.1%
750	1	0.1%
751	3	0.2%
759	1	0.1%
76	1	0.1%
760	1	0.1%
765	1	0.1%
766	1	0.1%
77	1	0.1%
773	1	0.1%
777	1	0.1%
78	1	0.1%
789	1	0.1%
794	2	0.1%
8	3	0.2%
80	2	0.1%
800	2	0.1%
802	1	0.1%
806	2	0.1%
81	1	0.1%
812	1	0.1%
818	1	0.1%
82	2	0.1%
823	2	0.1%
826	1	0.1%
83	1	0.1%
832	1	0.1%
836	1	0.1%
847	2	0.1%
849	1	0.1%
85	2	0.1%
850	1	0.1%
852	1	0.1%
853	1	0.1%
857	1	0.1%
86	2	0.1%
861	1	0.1%
867	1	0.1%
87	3	0.2%
874	1	0.1%
875	1	0.1%
877	1	0.1%
879	1	0.1%
88	7	0.4%
880	1	0.1%
881	1	0.1%
888	1	0.1%
89	5	0.3%
890	2	0.1%
895	1	0.1%
896	1	0.1%
90	3	0.2%
900	1	0.1%
904	1	0.1%
906	1	0.1%
908	1	0.1%
91	3	0.2%
915	1	0.1%
92	1	0.1%
920	1	0.1%
928	1	0.1%
93	2	0.1%
932	2	0.1%
933	2	0.1%
935	1	0.1%
938	1	0.1%
94	4	0.2%
942	1	0.1%
944	1	0.1%
948	1	0.1%
949	1	0.1%
95	4	0.2%
950	1	0.1%
951	1	0.1%
952	1	0.1%
955	1	0.1%
956	1	0.1%
96	1	0.1%
964	1	0.1%
967	2	0.1%
97	2	0.1%
970	1	0.1%
973	2	0.1%
979	1	0.1%
98	1	0.1%
981	1	0.1%
982	1	0.1%
984	1	0.1%
987	3	0.2%
990	2	0.1%
991	2	0.1%
992	1	0.1%
[unknown]	86	%

Time in regiment (in days), in frequency order

0	86	4.4%
[unknown]	86	%
132	48	2.4%
108	28	1.4%
109	27	1.4%
104	24	1.2%
117	23	1.2%
130	21	1.1%
110	20	1.0%
116	20	1.0%
105	19	1.0%
121	19	1.0%
1420	19	1.0%
253	19	1.0%
111	16	0.8%
1096	15	0.8%
246	14	0.7%
252	14	0.7%
276	12	0.6%
107	11	0.6%
112	11	0.6%
103	10	0.5%
114	9	0.5%
1393	9	0.5%
275	9	0.5%
531	9	0.5%
724	9	0.5%
2	8	0.4%
726	8	0.4%
731	8	0.4%
1	7	0.4%
115	7	0.4%
1385	7	0.4%
1417	7	0.4%
530	7	0.4%
536	7	0.4%
60	7	0.4%
709	7	0.4%
88	7	0.4%
1108	6	0.3%
119	6	0.3%
1386	6	0.3%
149	6	0.3%
21	6	0.3%
4	6	0.3%
475	6	0.3%
517	6	0.3%
524	6	0.3%
54	6	0.3%
669	6	0.3%
670	6	0.3%
717	6	0.3%
102	5	0.3%
113	5	0.3%
124	5	0.3%
126	5	0.3%
133	5	0.3%
1354	5	0.3%
1372	5	0.3%
1431	5	0.3%
251	5	0.3%
256	5	0.3%
278	5	0.3%
402	5	0.3%
5	5	0.3%
513	5	0.3%
518	5	0.3%
522	5	0.3%
523	5	0.3%
529	5	0.3%
545	5	0.3%
721	5	0.3%
723	5	0.3%
728	5	0.3%
89	5	0.3%
106	4	0.2%
1114	4	0.2%
118	4	0.2%
122	4	0.2%
125	4	0.2%
1360	4	0.2%
1379	4	0.2%
1384	4	0.2%
1391	4	0.2%
1398	4	0.2%
1410	4	0.2%
1419	4	0.2%
147	4	0.2%
172	4	0.2%
175	4	0.2%
196	4	0.2%
230	4	0.2%
267	4	0.2%
309	4	0.2%
329	4	0.2%
36	4	0.2%
382	4	0.2%
428	4	0.2%
44	4	0.2%
452	4	0.2%
511	4	0.2%
537	4	0.2%
655	4	0.2%
683	4	0.2%
7	4	0.2%
94	4	0.2%
95	4	0.2%
100	3	0.2%
1008	3	0.2%
1063	3	0.2%
1101	3	0.2%
1116	3	0.2%
1123	3	0.2%
1127	3	0.2%
123	3	0.2%
127	3	0.2%
1314	3	0.2%
1316	3	0.2%
1328	3	0.2%
1334	3	0.2%
1342	3	0.2%
1344	3	0.2%
135	3	0.2%
1356	3	0.2%
136	3	0.2%
138	3	0.2%
1390	3	0.2%
1400	3	0.2%
1407	3	0.2%
1413	3	0.2%
144	3	0.2%
145	3	0.2%
160	3	0.2%
161	3	0.2%
162	3	0.2%
165	3	0.2%
180	3	0.2%
182	3	0.2%
183	3	0.2%
19	3	0.2%
191	3	0.2%
208	3	0.2%
212	3	0.2%
214	3	0.2%
218	3	0.2%
226	3	0.2%
233	3	0.2%
241	3	0.2%
247	3	0.2%
25	3	0.2%
250	3	0.2%
27	3	0.2%
274	3	0.2%
277	3	0.2%
285	3	0.2%
3	3	0.2%
338	3	0.2%
38	3	0.2%
41	3	0.2%
413	3	0.2%
456	3	0.2%
458	3	0.2%
459	3	0.2%
472	3	0.2%
486	3	0.2%
489	3	0.2%
496	3	0.2%
499	3	0.2%
500	3	0.2%
502	3	0.2%
503	3	0.2%
506	3	0.2%
507	3	0.2%
510	3	0.2%
512	3	0.2%
520	3	0.2%
541	3	0.2%
543	3	0.2%
552	3	0.2%
556	3	0.2%
57	3	0.2%
581	3	0.2%
596	3	0.2%
603	3	0.2%
63	3	0.2%
65	3	0.2%
66	3	0.2%
711	3	0.2%
725	3	0.2%
73	3	0.2%
751	3	0.2%
8	3	0.2%
87	3	0.2%
90	3	0.2%
91	3	0.2%
987	3	0.2%
10	2	0.1%
1003	2	0.1%
1013	2	0.1%
1016	2	0.1%
1017	2	0.1%
1018	2	0.1%
1025	2	0.1%
1026	2	0.1%
1027	2	0.1%
1032	2	0.1%
1038	2	0.1%
1052	2	0.1%
1059	2	0.1%
1066	2	0.1%
1068	2	0.1%
1069	2	0.1%
1086	2	0.1%
11	2	0.1%
1102	2	0.1%
1109	2	0.1%
1113	2	0.1%
1115	2	0.1%
1119	2	0.1%
1125	2	0.1%
1136	2	0.1%
1140	2	0.1%
1146	2	0.1%
1261	2	0.1%
1266	2	0.1%
1274	2	0.1%
1276	2	0.1%
128	2	0.1%
1285	2	0.1%
1308	2	0.1%
1317	2	0.1%
1319	2	0.1%
1332	2	0.1%
1335	2	0.1%
1336	2	0.1%
1361	2	0.1%
1362	2	0.1%
1364	2	0.1%
1365	2	0.1%
1366	2	0.1%
1368	2	0.1%
1369	2	0.1%
1375	2	0.1%
1376	2	0.1%
1378	2	0.1%
1382	2	0.1%
1397	2	0.1%
1399	2	0.1%
1403	2	0.1%
1411	2	0.1%
1416	2	0.1%
1418	2	0.1%
143	2	0.1%
150	2	0.1%
151	2	0.1%
152	2	0.1%
154	2	0.1%
158	2	0.1%
170	2	0.1%
171	2	0.1%
173	2	0.1%
174	2	0.1%
178	2	0.1%
179	2	0.1%
186	2	0.1%
188	2	0.1%
20	2	0.1%
222	2	0.1%
223	2	0.1%
23	2	0.1%
234	2	0.1%
238	2	0.1%
24	2	0.1%
242	2	0.1%
244	2	0.1%
245	2	0.1%
248	2	0.1%
254	2	0.1%
260	2	0.1%
264	2	0.1%
272	2	0.1%
273	2	0.1%
279	2	0.1%
28	2	0.1%
280	2	0.1%
291	2	0.1%
294	2	0.1%
295	2	0.1%
299	2	0.1%
30	2	0.1%
302	2	0.1%
307	2	0.1%
31	2	0.1%
310	2	0.1%
311	2	0.1%
317	2	0.1%
32	2	0.1%
33	2	0.1%
330	2	0.1%
332	2	0.1%
333	2	0.1%
346	2	0.1%
348	2	0.1%
380	2	0.1%
381	2	0.1%
389	2	0.1%
40	2	0.1%
401	2	0.1%
403	2	0.1%
404	2	0.1%
410	2	0.1%
42	2	0.1%
420	2	0.1%
421	2	0.1%
436	2	0.1%
437	2	0.1%
439	2	0.1%
444	2	0.1%
447	2	0.1%
45	2	0.1%
453	2	0.1%
465	2	0.1%
47	2	0.1%
471	2	0.1%
477	2	0.1%
478	2	0.1%
479	2	0.1%
482	2	0.1%
483	2	0.1%
487	2	0.1%
490	2	0.1%
493	2	0.1%
494	2	0.1%
498	2	0.1%
501	2	0.1%
508	2	0.1%
521	2	0.1%
525	2	0.1%
528	2	0.1%
538	2	0.1%
540	2	0.1%
544	2	0.1%
55	2	0.1%
559	2	0.1%
562	2	0.1%
572	2	0.1%
579	2	0.1%
589	2	0.1%
590	2	0.1%
593	2	0.1%
598	2	0.1%
6	2	0.1%
606	2	0.1%
61	2	0.1%
614	2	0.1%
621	2	0.1%
631	2	0.1%
634	2	0.1%
64	2	0.1%
641	2	0.1%
651	2	0.1%
672	2	0.1%
679	2	0.1%
698	2	0.1%
703	2	0.1%
713	2	0.1%
719	2	0.1%
794	2	0.1%
80	2	0.1%
800	2	0.1%
806	2	0.1%
82	2	0.1%
823	2	0.1%
847	2	0.1%
85	2	0.1%
86	2	0.1%
890	2	0.1%
93	2	0.1%
932	2	0.1%
933	2	0.1%
967	2	0.1%
97	2	0.1%
973	2	0.1%
990	2	0.1%
991	2	0.1%
1000	1	0.1%
1009	1	0.1%
101	1	0.1%
1011	1	0.1%
1012	1	0.1%
1019	1	0.1%
1020	1	0.1%
1021	1	0.1%
1024	1	0.1%
1030	1	0.1%
1031	1	0.1%
1033	1	0.1%
1034	1	0.1%
1036	1	0.1%
1037	1	0.1%
1043	1	0.1%
1044	1	0.1%
1047	1	0.1%
1055	1	0.1%
1056	1	0.1%
1062	1	0.1%
1073	1	0.1%
1078	1	0.1%
1082	1	0.1%
1083	1	0.1%
1089	1	0.1%
1091	1	0.1%
1095	1	0.1%
1097	1	0.1%
1098	1	0.1%
1099	1	0.1%
1104	1	0.1%
1106	1	0.1%
1107	1	0.1%
1110	1	0.1%
1112	1	0.1%
1118	1	0.1%
1120	1	0.1%
1124	1	0.1%
1126	1	0.1%
1128	1	0.1%
1129	1	0.1%
1131	1	0.1%
1135	1	0.1%
1137	1	0.1%
1138	1	0.1%
1141	1	0.1%
1143	1	0.1%
1148	1	0.1%
1150	1	0.1%
1153	1	0.1%
1154	1	0.1%
1155	1	0.1%
1160	1	0.1%
1163	1	0.1%
1164	1	0.1%
1168	1	0.1%
1172	1	0.1%
1177	1	0.1%
1183	1	0.1%
1186	1	0.1%
1190	1	0.1%
1193	1	0.1%
12	1	0.1%
1208	1	0.1%
1211	1	0.1%
1216	1	0.1%
1217	1	0.1%
1224	1	0.1%
1229	1	0.1%
1242	1	0.1%
1260	1	0.1%
1267	1	0.1%
1272	1	0.1%
1273	1	0.1%
1277	1	0.1%
1280	1	0.1%
1284	1	0.1%
129	1	0.1%
1290	1	0.1%
1292	1	0.1%
1298	1	0.1%
1299	1	0.1%
13	1	0.1%
1302	1	0.1%
1306	1	0.1%
1307	1	0.1%
1309	1	0.1%
131	1	0.1%
1313	1	0.1%
1315	1	0.1%
1318	1	0.1%
1329	1	0.1%
1333	1	0.1%
134	1	0.1%
1343	1	0.1%
1345	1	0.1%
1347	1	0.1%
1348	1	0.1%
1350	1	0.1%
1355	1	0.1%
1357	1	0.1%
1367	1	0.1%
137	1	0.1%
1374	1	0.1%
1377	1	0.1%
1381	1	0.1%
1388	1	0.1%
1389	1	0.1%
139	1	0.1%
1392	1	0.1%
1394	1	0.1%
14	1	0.1%
1404	1	0.1%
1405	1	0.1%
1409	1	0.1%
141	1	0.1%
1412	1	0.1%
142	1	0.1%
1428	1	0.1%
1442	1	0.1%
146	1	0.1%
1461	1	0.1%
15	1	0.1%
153	1	0.1%
1530	1	0.1%
1551	1	0.1%
156	1	0.1%
157	1	0.1%
159	1	0.1%
16	1	0.1%
163	1	0.1%
166	1	0.1%
167	1	0.1%
176	1	0.1%
177	1	0.1%
18	1	0.1%
187	1	0.1%
190	1	0.1%
193	1	0.1%
195	1	0.1%
197	1	0.1%
198	1	0.1%
199	1	0.1%
201	1	0.1%
202	1	0.1%
203	1	0.1%
205	1	0.1%
209	1	0.1%
210	1	0.1%
211	1	0.1%
215	1	0.1%
216	1	0.1%
219	1	0.1%
22	1	0.1%
231	1	0.1%
232	1	0.1%
236	1	0.1%
237	1	0.1%
239	1	0.1%
240	1	0.1%
249	1	0.1%
255	1	0.1%
257	1	0.1%
258	1	0.1%
261	1	0.1%
263	1	0.1%
265	1	0.1%
266	1	0.1%
271	1	0.1%
281	1	0.1%
282	1	0.1%
286	1	0.1%
29	1	0.1%
292	1	0.1%
304	1	0.1%
305	1	0.1%
313	1	0.1%
315	1	0.1%
318	1	0.1%
320	1	0.1%
323	1	0.1%
324	1	0.1%
325	1	0.1%
327	1	0.1%
328	1	0.1%
335	1	0.1%
339	1	0.1%
343	1	0.1%
345	1	0.1%
35	1	0.1%
350	1	0.1%
353	1	0.1%
354	1	0.1%
358	1	0.1%
360	1	0.1%
361	1	0.1%
365	1	0.1%
366	1	0.1%
367	1	0.1%
368	1	0.1%
372	1	0.1%
375	1	0.1%
378	1	0.1%
383	1	0.1%
386	1	0.1%
39	1	0.1%
391	1	0.1%
392	1	0.1%
393	1	0.1%
398	1	0.1%
399	1	0.1%
405	1	0.1%
407	1	0.1%
411	1	0.1%
414	1	0.1%
415	1	0.1%
417	1	0.1%
419	1	0.1%
422	1	0.1%
423	1	0.1%
425	1	0.1%
427	1	0.1%
429	1	0.1%
43	1	0.1%
432	1	0.1%
433	1	0.1%
434	1	0.1%
435	1	0.1%
438	1	0.1%
441	1	0.1%
442	1	0.1%
443	1	0.1%
448	1	0.1%
449	1	0.1%
451	1	0.1%
455	1	0.1%
457	1	0.1%
46	1	0.1%
462	1	0.1%
464	1	0.1%
466	1	0.1%
467	1	0.1%
468	1	0.1%
469	1	0.1%
470	1	0.1%
48	1	0.1%
480	1	0.1%
481	1	0.1%
484	1	0.1%
485	1	0.1%
491	1	0.1%
497	1	0.1%
50	1	0.1%
51	1	0.1%
514	1	0.1%
515	1	0.1%
516	1	0.1%
526	1	0.1%
527	1	0.1%
53	1	0.1%
535	1	0.1%
549	1	0.1%
551	1	0.1%
56	1	0.1%
560	1	0.1%
563	1	0.1%
565	1	0.1%
567	1	0.1%
568	1	0.1%
571	1	0.1%
573	1	0.1%
577	1	0.1%
582	1	0.1%
587	1	0.1%
588	1	0.1%
59	1	0.1%
592	1	0.1%
594	1	0.1%
595	1	0.1%
597	1	0.1%
599	1	0.1%
600	1	0.1%
604	1	0.1%
605	1	0.1%
608	1	0.1%
611	1	0.1%
62	1	0.1%
627	1	0.1%
629	1	0.1%
630	1	0.1%
635	1	0.1%
637	1	0.1%
643	1	0.1%
647	1	0.1%
648	1	0.1%
649	1	0.1%
650	1	0.1%
652	1	0.1%
653	1	0.1%
654	1	0.1%
659	1	0.1%
662	1	0.1%
664	1	0.1%
665	1	0.1%
666	1	0.1%
667	1	0.1%
668	1	0.1%
67	1	0.1%
674	1	0.1%
68	1	0.1%
680	1	0.1%
682	1	0.1%
684	1	0.1%
685	1	0.1%
687	1	0.1%
688	1	0.1%
692	1	0.1%
695	1	0.1%
696	1	0.1%
697	1	0.1%
70	1	0.1%
700	1	0.1%
708	1	0.1%
71	1	0.1%
712	1	0.1%
715	1	0.1%
718	1	0.1%
72	1	0.1%
722	1	0.1%
727	1	0.1%
730	1	0.1%
733	1	0.1%
734	1	0.1%
737	1	0.1%
742	1	0.1%
744	1	0.1%
745	1	0.1%
750	1	0.1%
759	1	0.1%
76	1	0.1%
760	1	0.1%
765	1	0.1%
766	1	0.1%
77	1	0.1%
773	1	0.1%
777	1	0.1%
78	1	0.1%
789	1	0.1%
802	1	0.1%
81	1	0.1%
812	1	0.1%
818	1	0.1%
826	1	0.1%
83	1	0.1%
832	1	0.1%
836	1	0.1%
849	1	0.1%
850	1	0.1%
852	1	0.1%
853	1	0.1%
857	1	0.1%
861	1	0.1%
867	1	0.1%
874	1	0.1%
875	1	0.1%
877	1	0.1%
879	1	0.1%
880	1	0.1%
881	1	0.1%
888	1	0.1%
895	1	0.1%
896	1	0.1%
900	1	0.1%
904	1	0.1%
906	1	0.1%
908	1	0.1%
915	1	0.1%
92	1	0.1%
920	1	0.1%
928	1	0.1%
935	1	0.1%
938	1	0.1%
942	1	0.1%
944	1	0.1%
948	1	0.1%
949	1	0.1%
950	1	0.1%
951	1	0.1%
952	1	0.1%
955	1	0.1%
956	1	0.1%
96	1	0.1%
964	1	0.1%
970	1	0.1%
979	1	0.1%
98	1	0.1%
981	1	0.1%
982	1	0.1%
984	1	0.1%
992	1	0.1%

Time in regiment (in days), summary

based on 1977 instances
minimum	1 days
maximum	1552 days
median	326 days
mode	1: 86 instances
mean	491.8 days
standard deviation	449.36

Time in regiment (grouped)

A: 0-9 days	124	6.3%
B: 10-399 days	919	46.5%
C: 400-799 days	474	24.0%
D: 800-1199 days	227	11.5%
E: 1200 or more days	231	11.7%
[unknown]	86	%

Time in regiment (grouped), by volunteer status

	[unknown]	draftee	substitute	volunteer	total
A: 0-9 days	0 (0.18)	0 (18.89)	22 (19.25)	102 (85.67)	124
B: 10-399 days	0 (1.34)	227 (140.01)	274 (142.69)	418 (634.96)	919
C: 400-799 days	1 (0.69)	80 (72.22)	24 (73.6)	369 (327.5)	474
D: 800-1199 days	0 (0.33)	3 (34.58)	0 (35.25)	224 (156.84)	227
E: 1200 or more days	0 (0.34)	0 (35.19)	0 (35.87)	231 (159.6)	231
[unknown]	2 (0.13)	4 (13.1)	0 (13.35)	80 (59.42)	86
total	3	314	320	1424	2061

chi square wasn't calculated because 6 expected values were less than 5

Time in regiment (grouped), by birth country (all data)

	A: 0-9 days	B: 10-399 days	C: 400-799 days	D: 800-1199 days	E: 1200 or more days	[unknown]	total
Bavaria	0 (0.18)	3 (1.34)	0 (0.69)	0 (0.33)	0 (0.34)	0 (0.13)	3
Belgium	0 (0.06)	1 (0.45)	0 (0.23)	0 (0.11)	0 (0.11)	0 (0.04)	1
Canada	5 (1.32)	16 (9.81)	1 (5.06)	0 (2.42)	0 (2.47)	0 (0.92)	22
England	9 (4.63)	37 (34.33)	14 (17.71)	6 (8.48)	8 (8.63)	3 (3.21)	77
France	1 (1.02)	6 (7.58)	5 (3.91)	1 (1.87)	4 (1.91)	0 (0.71)	17
Germany	2 (5.29)	57 (39.24)	21 (20.24)	2 (9.69)	5 (9.86)	1 (3.67)	88
Ireland	29 (17.21)	113 (127.53)	65 (65.78)	37 (31.5)	34 (32.06)	8 (11.93)	286
Malta	0 (0.06)	1 (0.45)	0 (0.23)	0 (0.11)	0 (0.11)	0 (0.04)	1
Poland	0 (0.06)	1 (0.45)	0 (0.23)	0 (0.11)	0 (0.11)	0 (0.04)	1
Prussia	0 (0.36)	6 (2.68)	0 (1.38)	0 (0.66)	0 (0.67)	0 (0.25)	6
Saxon-Meiningen	0 (0.06)	1 (0.45)	0 (0.23)	0 (0.11)	0 (0.11)	0 (0.04)	1
Saxony	0 (0.06)	0 (0.45)	1 (0.23)	0 (0.11)	0 (0.11)	0 (0.04)	1
Scotland	1 (1.38)	7 (10.26)	10 (5.29)	2 (2.53)	2 (2.58)	1 (0.96)	23
Spain	1 (0.12)	1 (0.89)	0 (0.46)	0 (0.22)	0 (0.22)	0 (0.08)	2
Switzerland	0 (0.42)	7 (3.12)	0 (1.61)	0 (0.77)	0 (0.78)	0 (0.29)	7
US	40 (77.49)	562 (574.32)	313 (296.22)	168 (141.86)	164 (144.36)	41 (53.74)	1288
Wales	0 (0.24)	2 (1.78)	1 (0.92)	0 (0.44)	1 (0.45)	0 (0.17)	4
Wurtemburg	1 (0.24)	2 (1.78)	0 (0.92)	0 (0.44)	0 (0.45)	1 (0.17)	4
[unknown]	35 (13.78)	96 (102.11)	43 (52.67)	11 (25.22)	13 (25.67)	31 (9.56)	229
total	124	919	474	227	231	86	2061

chi square wasn't calculated because 82 expected values were less than 5

Time in regiment (grouped), by whether born in US(all data)

	born in US	not born in US	total
A: 0-9 days	40 (77.49)	84 (46.51)	124
B: 10-399 days	562 (574.32)	357 (344.68)	919
C: 400-799 days	313 (296.22)	161 (177.78)	474
D: 800-1199 days	168 (141.86)	59 (85.14)	227
E: 1200 or more days	164 (144.36)	67 (86.64)	231
[unknown]	41 (53.74)	45 (32.26)	86
total	1288	773	2061

values in parentheses are expected values
degrees of freedom: 5
chi-square: 79.61
p < 5.0E-4
Cramer's V: 0.2

Honorable discharge (uncertain)

dishonorable	342	16.6%
honorable	1719	83.4%

Honorable discharge (uncertain), by whether volunteer

	dishonorable	honorable	total
[unknown]	0 (0.5)	3 (2.5)	3
draftee	10 (52.1)	304 (261.9)	314
substitute	53 (53.1)	267 (266.9)	320
volunteer	279 (236.3)	1145 (1187.7)	1424
total	342	1719	2061

chi square wasn't calculated because 2 expected values were less than 5

Honorable discharge (uncertain), by whether veteran

	dishonorable	honorable	total
[unknown]	13 (28.21)	157 (141.79)	170
ineligible	314 (258.2)	1242 (1297.8)	1556
unwilling to reenlist	0 (6.64)	40 (33.36)	40
veteran	15 (44.8)	255 (225.2)	270
willing to reenlist	0 (4.15)	25 (20.85)	25
total	342	1719	2061

values in parentheses are expected values
degrees of freedom: 4
chi-square: 60.99
p < 5.0E-4
Cramer's V: 0.17

Honorable discharge (uncertain), by age group

	dishonorable	honorable	total
0-19	49 (69.03)	367 (346.97)	416
20-29	185 (150.51)	722 (756.49)	907
30-39	66 (74.67)	384 (375.33)	450
40-	33 (43.31)	228 (217.69)	261
[unknown]	9 (4.48)	18 (22.52)	27
total	342	1719	2061

values in parentheses are expected values
degrees of freedom: 4
chi-square: 26.06
p < 5.0E-4
Cramer's V: 0.11

Honorable discharge (uncertain), by time in regiment

	dishonorable	honorable	total
0	78 (14.27)	8 (71.73)	86
1	6 (1.16)	1 (5.84)	7
2	8 (1.33)	0 (6.67)	8
3	3 (0.5)	0 (2.5)	3
4	5 (1.0)	1 (5.0)	6
5	4 (0.83)	1 (4.17)	5
6	2 (0.33)	0 (1.67)	2
7	3 (0.66)	1 (3.34)	4
8	3 (0.5)	0 (2.5)	3
10	1 (0.33)	1 (1.67)	2
11	1 (0.33)	1 (1.67)	2
12	1 (0.17)	0 (0.83)	1
13	0 (0.17)	1 (0.83)	1
14	0 (0.17)	1 (0.83)	1
15	1 (0.17)	0 (0.83)	1
16	1 (0.17)	0 (0.83)	1
18	1 (0.17)	0 (0.83)	1
19	2 (0.5)	1 (2.5)	3
20	1 (0.33)	1 (1.67)	2
21	6 (1.0)	0 (5.0)	6
22	0 (0.17)	1 (0.83)	1
23	2 (0.33)	0 (1.67)	2
24	1 (0.33)	1 (1.67)	2
25	2 (0.5)	1 (2.5)	3
27	1 (0.5)	2 (2.5)	3
28	2 (0.33)	0 (1.67)	2
29	1 (0.17)	0 (0.83)	1
30	2 (0.33)	0 (1.67)	2
31	1 (0.33)	1 (1.67)	2
32	2 (0.33)	0 (1.67)	2
33	2 (0.33)	0 (1.67)	2
35	1 (0.17)	0 (0.83)	1
36	1 (0.66)	3 (3.34)	4
38	2 (0.5)	1 (2.5)	3
39	0 (0.17)	1 (0.83)	1
40	1 (0.33)	1 (1.67)	2
41	2 (0.5)	1 (2.5)	3
42	1 (0.33)	1 (1.67)	2
43	0 (0.17)	1 (0.83)	1
44	3 (0.66)	1 (3.34)	4
45	2 (0.33)	0 (1.67)	2
46	1 (0.17)	0 (0.83)	1
47	1 (0.33)	1 (1.67)	2
48	0 (0.17)	1 (0.83)	1
50	1 (0.17)	0 (0.83)	1
51	1 (0.17)	0 (0.83)	1
53	0 (0.17)	1 (0.83)	1
54	1 (1.0)	5 (5.0)	6
55	2 (0.33)	0 (1.67)	2
56	1 (0.17)	0 (0.83)	1
57	0 (0.5)	3 (2.5)	3
59	0 (0.17)	1 (0.83)	1
60	0 (1.16)	7 (5.84)	7
61	2 (0.33)	0 (1.67)	2
62	0 (0.17)	1 (0.83)	1
63	2 (0.5)	1 (2.5)	3
64	1 (0.33)	1 (1.67)	2
65	1 (0.5)	2 (2.5)	3
66	1 (0.5)	2 (2.5)	3
67	1 (0.17)	0 (0.83)	1
68	1 (0.17)	0 (0.83)	1
70	1 (0.17)	0 (0.83)	1
71	1 (0.17)	0 (0.83)	1
72	1 (0.17)	0 (0.83)	1
73	2 (0.5)	1 (2.5)	3
76	0 (0.17)	1 (0.83)	1
77	0 (0.17)	1 (0.83)	1
78	0 (0.17)	1 (0.83)	1
80	0 (0.33)	2 (1.67)	2
81	0 (0.17)	1 (0.83)	1
82	1 (0.33)	1 (1.67)	2
83	0 (0.17)	1 (0.83)	1
85	2 (0.33)	0 (1.67)	2
86	1 (0.33)	1 (1.67)	2
87	0 (0.5)	3 (2.5)	3
88	5 (1.16)	2 (5.84)	7
89	4 (0.83)	1 (4.17)	5
90	3 (0.5)	0 (2.5)	3
91	1 (0.5)	2 (2.5)	3
92	0 (0.17)	1 (0.83)	1
93	0 (0.33)	2 (1.67)	2
94	1 (0.66)	3 (3.34)	4
95	3 (0.66)	1 (3.34)	4
96	1 (0.17)	0 (0.83)	1
97	0 (0.33)	2 (1.67)	2
98	0 (0.17)	1 (0.83)	1
100	0 (0.5)	3 (2.5)	3
101	0 (0.17)	1 (0.83)	1
102	3 (0.83)	2 (4.17)	5
103	0 (1.66)	10 (8.34)	10
104	1 (3.98)	23 (20.02)	24
105	0 (3.15)	19 (15.85)	19
106	1 (0.66)	3 (3.34)	4
107	0 (1.83)	11 (9.17)	11
108	1 (4.65)	27 (23.35)	28
109	0 (4.48)	27 (22.52)	27
110	0 (3.32)	20 (16.68)	20
111	4 (2.66)	12 (13.34)	16
112	3 (1.83)	8 (9.17)	11
113	2 (0.83)	3 (4.17)	5
114	0 (1.49)	9 (7.51)	9
115	0 (1.16)	7 (5.84)	7
116	0 (3.32)	20 (16.68)	20
117	0 (3.82)	23 (19.18)	23
118	0 (0.66)	4 (3.34)	4
119	0 (1.0)	6 (5.0)	6
121	0 (3.15)	19 (15.85)	19
122	2 (0.66)	2 (3.34)	4
123	0 (0.5)	3 (2.5)	3
124	0 (0.83)	5 (4.17)	5
125	1 (0.66)	3 (3.34)	4
126	1 (0.83)	4 (4.17)	5
127	0 (0.5)	3 (2.5)	3
128	0 (0.33)	2 (1.67)	2
129	0 (0.17)	1 (0.83)	1
130	0 (3.48)	21 (17.52)	21
131	0 (0.17)	1 (0.83)	1
132	0 (7.97)	48 (40.03)	48
133	0 (0.83)	5 (4.17)	5
134	1 (0.17)	0 (0.83)	1
135	0 (0.5)	3 (2.5)	3
136	1 (0.5)	2 (2.5)	3
137	0 (0.17)	1 (0.83)	1
138	0 (0.5)	3 (2.5)	3
139	0 (0.17)	1 (0.83)	1
141	0 (0.17)	1 (0.83)	1
142	0 (0.17)	1 (0.83)	1
143	0 (0.33)	2 (1.67)	2
144	0 (0.5)	3 (2.5)	3
145	2 (0.5)	1 (2.5)	3
146	1 (0.17)	0 (0.83)	1
147	1 (0.66)	3 (3.34)	4
149	2 (1.0)	4 (5.0)	6
150	0 (0.33)	2 (1.67)	2
151	2 (0.33)	0 (1.67)	2
152	1 (0.33)	1 (1.67)	2
153	0 (0.17)	1 (0.83)	1
154	1 (0.33)	1 (1.67)	2
156	0 (0.17)	1 (0.83)	1
157	0 (0.17)	1 (0.83)	1
158	0 (0.33)	2 (1.67)	2
159	0 (0.17)	1 (0.83)	1
160	0 (0.5)	3 (2.5)	3
161	0 (0.5)	3 (2.5)	3
162	0 (0.5)	3 (2.5)	3
163	0 (0.17)	1 (0.83)	1
165	0 (0.5)	3 (2.5)	3
166	0 (0.17)	1 (0.83)	1
167	1 (0.17)	0 (0.83)	1
170	1 (0.33)	1 (1.67)	2
171	1 (0.33)	1 (1.67)	2
172	0 (0.66)	4 (3.34)	4
173	1 (0.33)	1 (1.67)	2
174	0 (0.33)	2 (1.67)	2
175	0 (0.66)	4 (3.34)	4
176	0 (0.17)	1 (0.83)	1
177	0 (0.17)	1 (0.83)	1
178	1 (0.33)	1 (1.67)	2
179	0 (0.33)	2 (1.67)	2
180	0 (0.5)	3 (2.5)	3
182	0 (0.5)	3 (2.5)	3
183	1 (0.5)	2 (2.5)	3
186	0 (0.33)	2 (1.67)	2
187	0 (0.17)	1 (0.83)	1
188	1 (0.33)	1 (1.67)	2
190	0 (0.17)	1 (0.83)	1
191	1 (0.5)	2 (2.5)	3
193	0 (0.17)	1 (0.83)	1
195	0 (0.17)	1 (0.83)	1
196	0 (0.66)	4 (3.34)	4
197	0 (0.17)	1 (0.83)	1
198	0 (0.17)	1 (0.83)	1
199	0 (0.17)	1 (0.83)	1
201	0 (0.17)	1 (0.83)	1
202	0 (0.17)	1 (0.83)	1
203	0 (0.17)	1 (0.83)	1
205	0 (0.17)	1 (0.83)	1
208	0 (0.5)	3 (2.5)	3
209	0 (0.17)	1 (0.83)	1
210	0 (0.17)	1 (0.83)	1
211	0 (0.17)	1 (0.83)	1
212	0 (0.5)	3 (2.5)	3
214	0 (0.5)	3 (2.5)	3
215	0 (0.17)	1 (0.83)	1
216	0 (0.17)	1 (0.83)	1
218	1 (0.5)	2 (2.5)	3
219	0 (0.17)	1 (0.83)	1
222	0 (0.33)	2 (1.67)	2
223	0 (0.33)	2 (1.67)	2
226	0 (0.5)	3 (2.5)	3
230	1 (0.66)	3 (3.34)	4
231	0 (0.17)	1 (0.83)	1
232	0 (0.17)	1 (0.83)	1
233	0 (0.5)	3 (2.5)	3
234	0 (0.33)	2 (1.67)	2
236	0 (0.17)	1 (0.83)	1
237	0 (0.17)	1 (0.83)	1
238	1 (0.33)	1 (1.67)	2
239	0 (0.17)	1 (0.83)	1
240	0 (0.17)	1 (0.83)	1
241	1 (0.5)	2 (2.5)	3
242	1 (0.33)	1 (1.67)	2
244	0 (0.33)	2 (1.67)	2
245	0 (0.33)	2 (1.67)	2
246	2 (2.32)	12 (11.68)	14
247	0 (0.5)	3 (2.5)	3
248	0 (0.33)	2 (1.67)	2
249	0 (0.17)	1 (0.83)	1
250	0 (0.5)	3 (2.5)	3
251	1 (0.83)	4 (4.17)	5
252	1 (2.32)	13 (11.68)	14
253	0 (3.15)	19 (15.85)	19
254	1 (0.33)	1 (1.67)	2
255	1 (0.17)	0 (0.83)	1
256	1 (0.83)	4 (4.17)	5
257	0 (0.17)	1 (0.83)	1
258	0 (0.17)	1 (0.83)	1
260	0 (0.33)	2 (1.67)	2
261	1 (0.17)	0 (0.83)	1
263	0 (0.17)	1 (0.83)	1
264	1 (0.33)	1 (1.67)	2
265	0 (0.17)	1 (0.83)	1
266	0 (0.17)	1 (0.83)	1
267	2 (0.66)	2 (3.34)	4
271	0 (0.17)	1 (0.83)	1
272	0 (0.33)	2 (1.67)	2
273	0 (0.33)	2 (1.67)	2
274	0 (0.5)	3 (2.5)	3
275	1 (1.49)	8 (7.51)	9
276	0 (1.99)	12 (10.01)	12
277	0 (0.5)	3 (2.5)	3
278	1 (0.83)	4 (4.17)	5
279	0 (0.33)	2 (1.67)	2
280	0 (0.33)	2 (1.67)	2
281	0 (0.17)	1 (0.83)	1
282	1 (0.17)	0 (0.83)	1
285	2 (0.5)	1 (2.5)	3
286	0 (0.17)	1 (0.83)	1
291	0 (0.33)	2 (1.67)	2
292	0 (0.17)	1 (0.83)	1
294	0 (0.33)	2 (1.67)	2
295	0 (0.33)	2 (1.67)	2
299	0 (0.33)	2 (1.67)	2
302	1 (0.33)	1 (1.67)	2
304	0 (0.17)	1 (0.83)	1
305	1 (0.17)	0 (0.83)	1
307	0 (0.33)	2 (1.67)	2
309	0 (0.66)	4 (3.34)	4
310	1 (0.33)	1 (1.67)	2
311	0 (0.33)	2 (1.67)	2
313	0 (0.17)	1 (0.83)	1
315	0 (0.17)	1 (0.83)	1
317	1 (0.33)	1 (1.67)	2
318	0 (0.17)	1 (0.83)	1
320	0 (0.17)	1 (0.83)	1
323	0 (0.17)	1 (0.83)	1
324	1 (0.17)	0 (0.83)	1
325	0 (0.17)	1 (0.83)	1
327	0 (0.17)	1 (0.83)	1
328	0 (0.17)	1 (0.83)	1
329	1 (0.66)	3 (3.34)	4
330	0 (0.33)	2 (1.67)	2
332	0 (0.33)	2 (1.67)	2
333	1 (0.33)	1 (1.67)	2
335	1 (0.17)	0 (0.83)	1
338	0 (0.5)	3 (2.5)	3
339	0 (0.17)	1 (0.83)	1
343	0 (0.17)	1 (0.83)	1
345	0 (0.17)	1 (0.83)	1
346	1 (0.33)	1 (1.67)	2
348	1 (0.33)	1 (1.67)	2
350	0 (0.17)	1 (0.83)	1
353	1 (0.17)	0 (0.83)	1
354	0 (0.17)	1 (0.83)	1
358	0 (0.17)	1 (0.83)	1
360	0 (0.17)	1 (0.83)	1
361	0 (0.17)	1 (0.83)	1
365	1 (0.17)	0 (0.83)	1
366	0 (0.17)	1 (0.83)	1
367	0 (0.17)	1 (0.83)	1
368	0 (0.17)	1 (0.83)	1
372	0 (0.17)	1 (0.83)	1
375	0 (0.17)	1 (0.83)	1
378	0 (0.17)	1 (0.83)	1
380	0 (0.33)	2 (1.67)	2
381	0 (0.33)	2 (1.67)	2
382	1 (0.66)	3 (3.34)	4
383	0 (0.17)	1 (0.83)	1
386	1 (0.17)	0 (0.83)	1
389	0 (0.33)	2 (1.67)	2
391	0 (0.17)	1 (0.83)	1
392	0 (0.17)	1 (0.83)	1
393	0 (0.17)	1 (0.83)	1
398	0 (0.17)	1 (0.83)	1
399	0 (0.17)	1 (0.83)	1
401	0 (0.33)	2 (1.67)	2
402	0 (0.83)	5 (4.17)	5
403	0 (0.33)	2 (1.67)	2
404	0 (0.33)	2 (1.67)	2
405	0 (0.17)	1 (0.83)	1
407	0 (0.17)	1 (0.83)	1
410	1 (0.33)	1 (1.67)	2
411	0 (0.17)	1 (0.83)	1
413	0 (0.5)	3 (2.5)	3
414	0 (0.17)	1 (0.83)	1
415	0 (0.17)	1 (0.83)	1
417	0 (0.17)	1 (0.83)	1
419	0 (0.17)	1 (0.83)	1
420	0 (0.33)	2 (1.67)	2
421	0 (0.33)	2 (1.67)	2
422	0 (0.17)	1 (0.83)	1
423	0 (0.17)	1 (0.83)	1
425	0 (0.17)	1 (0.83)	1
427	0 (0.17)	1 (0.83)	1
428	1 (0.66)	3 (3.34)	4
429	0 (0.17)	1 (0.83)	1
432	0 (0.17)	1 (0.83)	1
433	0 (0.17)	1 (0.83)	1
434	0 (0.17)	1 (0.83)	1
435	0 (0.17)	1 (0.83)	1
436	0 (0.33)	2 (1.67)	2
437	0 (0.33)	2 (1.67)	2
438	0 (0.17)	1 (0.83)	1
439	0 (0.33)	2 (1.67)	2
441	0 (0.17)	1 (0.83)	1
442	0 (0.17)	1 (0.83)	1
443	0 (0.17)	1 (0.83)	1
444	0 (0.33)	2 (1.67)	2
447	0 (0.33)	2 (1.67)	2
448	0 (0.17)	1 (0.83)	1
449	0 (0.17)	1 (0.83)	1
451	0 (0.17)	1 (0.83)	1
452	0 (0.66)	4 (3.34)	4
453	0 (0.33)	2 (1.67)	2
455	0 (0.17)	1 (0.83)	1
456	0 (0.5)	3 (2.5)	3
457	0 (0.17)	1 (0.83)	1
458	0 (0.5)	3 (2.5)	3
459	0 (0.5)	3 (2.5)	3
462	0 (0.17)	1 (0.83)	1
464	0 (0.17)	1 (0.83)	1
465	0 (0.33)	2 (1.67)	2
466	0 (0.17)	1 (0.83)	1
467	0 (0.17)	1 (0.83)	1
468	0 (0.17)	1 (0.83)	1
469	0 (0.17)	1 (0.83)	1
470	0 (0.17)	1 (0.83)	1
471	0 (0.33)	2 (1.67)	2
472	0 (0.5)	3 (2.5)	3
475	2 (1.0)	4 (5.0)	6
477	0 (0.33)	2 (1.67)	2
478	0 (0.33)	2 (1.67)	2
479	0 (0.33)	2 (1.67)	2
480	0 (0.17)	1 (0.83)	1
481	0 (0.17)	1 (0.83)	1
482	0 (0.33)	2 (1.67)	2
483	0 (0.33)	2 (1.67)	2
484	0 (0.17)	1 (0.83)	1
485	0 (0.17)	1 (0.83)	1
486	0 (0.5)	3 (2.5)	3
487	0 (0.33)	2 (1.67)	2
489	0 (0.5)	3 (2.5)	3
490	0 (0.33)	2 (1.67)	2
491	0 (0.17)	1 (0.83)	1
493	0 (0.33)	2 (1.67)	2
494	0 (0.33)	2 (1.67)	2
496	0 (0.5)	3 (2.5)	3
497	0 (0.17)	1 (0.83)	1
498	0 (0.33)	2 (1.67)	2
499	0 (0.5)	3 (2.5)	3
500	0 (0.5)	3 (2.5)	3
501	0 (0.33)	2 (1.67)	2
502	0 (0.5)	3 (2.5)	3
503	0 (0.5)	3 (2.5)	3
506	0 (0.5)	3 (2.5)	3
507	1 (0.5)	2 (2.5)	3
508	0 (0.33)	2 (1.67)	2
510	0 (0.5)	3 (2.5)	3
511	1 (0.66)	3 (3.34)	4
512	0 (0.5)	3 (2.5)	3
513	0 (0.83)	5 (4.17)	5
514	0 (0.17)	1 (0.83)	1
515	0 (0.17)	1 (0.83)	1
516	0 (0.17)	1 (0.83)	1
517	0 (1.0)	6 (5.0)	6
518	0 (0.83)	5 (4.17)	5
520	0 (0.5)	3 (2.5)	3
521	0 (0.33)	2 (1.67)	2
522	0 (0.83)	5 (4.17)	5
523	1 (0.83)	4 (4.17)	5
524	0 (1.0)	6 (5.0)	6
525	0 (0.33)	2 (1.67)	2
526	0 (0.17)	1 (0.83)	1
527	0 (0.17)	1 (0.83)	1
528	0 (0.33)	2 (1.67)	2
529	1 (0.83)	4 (4.17)	5
530	0 (1.16)	7 (5.84)	7
531	0 (1.49)	9 (7.51)	9
535	0 (0.17)	1 (0.83)	1
536	1 (1.16)	6 (5.84)	7
537	0 (0.66)	4 (3.34)	4
538	0 (0.33)	2 (1.67)	2
540	0 (0.33)	2 (1.67)	2
541	0 (0.5)	3 (2.5)	3
543	0 (0.5)	3 (2.5)	3
544	0 (0.33)	2 (1.67)	2
545	1 (0.83)	4 (4.17)	5
549	0 (0.17)	1 (0.83)	1
551	1 (0.17)	0 (0.83)	1
552	0 (0.5)	3 (2.5)	3
556	0 (0.5)	3 (2.5)	3
559	0 (0.33)	2 (1.67)	2
560	1 (0.17)	0 (0.83)	1
562	1 (0.33)	1 (1.67)	2
563	1 (0.17)	0 (0.83)	1
565	0 (0.17)	1 (0.83)	1
567	0 (0.17)	1 (0.83)	1
568	0 (0.17)	1 (0.83)	1
571	0 (0.17)	1 (0.83)	1
572	1 (0.33)	1 (1.67)	2
573	0 (0.17)	1 (0.83)	1
577	0 (0.17)	1 (0.83)	1
579	1 (0.33)	1 (1.67)	2
581	0 (0.5)	3 (2.5)	3
582	0 (0.17)	1 (0.83)	1
587	0 (0.17)	1 (0.83)	1
588	0 (0.17)	1 (0.83)	1
589	0 (0.33)	2 (1.67)	2
590	0 (0.33)	2 (1.67)	2
592	0 (0.17)	1 (0.83)	1
593	0 (0.33)	2 (1.67)	2
594	1 (0.17)	0 (0.83)	1
595	0 (0.17)	1 (0.83)	1
596	0 (0.5)	3 (2.5)	3
597	0 (0.17)	1 (0.83)	1
598	1 (0.33)	1 (1.67)	2
599	0 (0.17)	1 (0.83)	1
600	0 (0.17)	1 (0.83)	1
603	1 (0.5)	2 (2.5)	3
604	0 (0.17)	1 (0.83)	1
605	0 (0.17)	1 (0.83)	1
606	0 (0.33)	2 (1.67)	2
608	0 (0.17)	1 (0.83)	1
611	0 (0.17)	1 (0.83)	1
614	0 (0.33)	2 (1.67)	2
621	0 (0.33)	2 (1.67)	2
627	0 (0.17)	1 (0.83)	1
629	0 (0.17)	1 (0.83)	1
630	0 (0.17)	1 (0.83)	1
631	1 (0.33)	1 (1.67)	2
634	0 (0.33)	2 (1.67)	2
635	0 (0.17)	1 (0.83)	1
637	0 (0.17)	1 (0.83)	1
641	0 (0.33)	2 (1.67)	2
643	0 (0.17)	1 (0.83)	1
647	0 (0.17)	1 (0.83)	1
648	0 (0.17)	1 (0.83)	1
649	0 (0.17)	1 (0.83)	1
650	1 (0.17)	0 (0.83)	1
651	0 (0.33)	2 (1.67)	2
652	0 (0.17)	1 (0.83)	1
653	0 (0.17)	1 (0.83)	1
654	0 (0.17)	1 (0.83)	1
655	0 (0.66)	4 (3.34)	4
659	0 (0.17)	1 (0.83)	1
662	0 (0.17)	1 (0.83)	1
664	0 (0.17)	1 (0.83)	1
665	1 (0.17)	0 (0.83)	1
666	0 (0.17)	1 (0.83)	1
667	0 (0.17)	1 (0.83)	1
668	0 (0.17)	1 (0.83)	1
669	0 (1.0)	6 (5.0)	6
670	0 (1.0)	6 (5.0)	6
672	0 (0.33)	2 (1.67)	2
674	0 (0.17)	1 (0.83)	1
679	0 (0.33)	2 (1.67)	2
680	0 (0.17)	1 (0.83)	1
682	0 (0.17)	1 (0.83)	1
683	0 (0.66)	4 (3.34)	4
684	0 (0.17)	1 (0.83)	1
685	0 (0.17)	1 (0.83)	1
687	0 (0.17)	1 (0.83)	1
688	0 (0.17)	1 (0.83)	1
692	0 (0.17)	1 (0.83)	1
695	0 (0.17)	1 (0.83)	1
696	0 (0.17)	1 (0.83)	1
697	0 (0.17)	1 (0.83)	1
698	0 (0.33)	2 (1.67)	2
700	0 (0.17)	1 (0.83)	1
703	0 (0.33)	2 (1.67)	2
708	0 (0.17)	1 (0.83)	1
709	0 (1.16)	7 (5.84)	7
711	0 (0.5)	3 (2.5)	3
712	0 (0.17)	1 (0.83)	1
713	0 (0.33)	2 (1.67)	2
715	0 (0.17)	1 (0.83)	1
717	0 (1.0)	6 (5.0)	6
718	0 (0.17)	1 (0.83)	1
719	0 (0.33)	2 (1.67)	2
721	0 (0.83)	5 (4.17)	5
722	0 (0.17)	1 (0.83)	1
723	0 (0.83)	5 (4.17)	5
724	0 (1.49)	9 (7.51)	9
725	0 (0.5)	3 (2.5)	3
726	0 (1.33)	8 (6.67)	8
727	0 (0.17)	1 (0.83)	1
728	0 (0.83)	5 (4.17)	5
730	0 (0.17)	1 (0.83)	1
731	0 (1.33)	8 (6.67)	8
733	0 (0.17)	1 (0.83)	1
734	0 (0.17)	1 (0.83)	1
737	0 (0.17)	1 (0.83)	1
742	0 (0.17)	1 (0.83)	1
744	0 (0.17)	1 (0.83)	1
745	0 (0.17)	1 (0.83)	1
750	0 (0.17)	1 (0.83)	1
751	0 (0.5)	3 (2.5)	3
759	0 (0.17)	1 (0.83)	1
760	0 (0.17)	1 (0.83)	1
765	0 (0.17)	1 (0.83)	1
766	0 (0.17)	1 (0.83)	1
773	0 (0.17)	1 (0.83)	1
777	0 (0.17)	1 (0.83)	1
789	0 (0.17)	1 (0.83)	1
794	0 (0.33)	2 (1.67)	2
800	0 (0.33)	2 (1.67)	2
802	0 (0.17)	1 (0.83)	1
806	0 (0.33)	2 (1.67)	2
812	0 (0.17)	1 (0.83)	1
818	0 (0.17)	1 (0.83)	1
823	0 (0.33)	2 (1.67)	2
826	0 (0.17)	1 (0.83)	1
832	0 (0.17)	1 (0.83)	1
836	1 (0.17)	0 (0.83)	1
847	1 (0.33)	1 (1.67)	2
849	0 (0.17)	1 (0.83)	1
850	0 (0.17)	1 (0.83)	1
852	0 (0.17)	1 (0.83)	1
853	0 (0.17)	1 (0.83)	1
857	0 (0.17)	1 (0.83)	1
861	0 (0.17)	1 (0.83)	1
867	0 (0.17)	1 (0.83)	1
874	1 (0.17)	0 (0.83)	1
875	0 (0.17)	1 (0.83)	1
877	0 (0.17)	1 (0.83)	1
879	0 (0.17)	1 (0.83)	1
880	0 (0.17)	1 (0.83)	1
881	0 (0.17)	1 (0.83)	1
888	0 (0.17)	1 (0.83)	1
890	0 (0.33)	2 (1.67)	2
895	0 (0.17)	1 (0.83)	1
896	0 (0.17)	1 (0.83)	1
900	1 (0.17)	0 (0.83)	1
904	0 (0.17)	1 (0.83)	1
906	0 (0.17)	1 (0.83)	1
908	0 (0.17)	1 (0.83)	1
915	0 (0.17)	1 (0.83)	1
920	0 (0.17)	1 (0.83)	1
928	1 (0.17)	0 (0.83)	1
932	0 (0.33)	2 (1.67)	2
933	0 (0.33)	2 (1.67)	2
935	0 (0.17)	1 (0.83)	1
938	0 (0.17)	1 (0.83)	1
942	1 (0.17)	0 (0.83)	1
944	0 (0.17)	1 (0.83)	1
948	1 (0.17)	0 (0.83)	1
949	0 (0.17)	1 (0.83)	1
950	0 (0.17)	1 (0.83)	1
951	0 (0.17)	1 (0.83)	1
952	0 (0.17)	1 (0.83)	1
955	0 (0.17)	1 (0.83)	1
956	0 (0.17)	1 (0.83)	1
964	0 (0.17)	1 (0.83)	1
967	0 (0.33)	2 (1.67)	2
970	0 (0.17)	1 (0.83)	1
973	0 (0.33)	2 (1.67)	2
979	0 (0.17)	1 (0.83)	1
981	0 (0.17)	1 (0.83)	1
982	0 (0.17)	1 (0.83)	1
984	0 (0.17)	1 (0.83)	1
987	0 (0.5)	3 (2.5)	3
990	0 (0.33)	2 (1.67)	2
991	0 (0.33)	2 (1.67)	2
992	0 (0.17)	1 (0.83)	1
1000	0 (0.17)	1 (0.83)	1
1003	0 (0.33)	2 (1.67)	2
1008	1 (0.5)	2 (2.5)	3
1009	0 (0.17)	1 (0.83)	1
1011	0 (0.17)	1 (0.83)	1
1012	1 (0.17)	0 (0.83)	1
1013	0 (0.33)	2 (1.67)	2
1016	0 (0.33)	2 (1.67)	2
1017	0 (0.33)	2 (1.67)	2
1018	0 (0.33)	2 (1.67)	2
1019	0 (0.17)	1 (0.83)	1
1020	0 (0.17)	1 (0.83)	1
1021	0 (0.17)	1 (0.83)	1
1024	0 (0.17)	1 (0.83)	1
1025	0 (0.33)	2 (1.67)	2
1026	0 (0.33)	2 (1.67)	2
1027	0 (0.33)	2 (1.67)	2
1030	1 (0.17)	0 (0.83)	1
1031	0 (0.17)	1 (0.83)	1
1032	0 (0.33)	2 (1.67)	2
1033	1 (0.17)	0 (0.83)	1
1034	0 (0.17)	1 (0.83)	1
1036	0 (0.17)	1 (0.83)	1
1037	0 (0.17)	1 (0.83)	1
1038	0 (0.33)	2 (1.67)	2
1043	0 (0.17)	1 (0.83)	1
1044	1 (0.17)	0 (0.83)	1
1047	0 (0.17)	1 (0.83)	1
1052	0 (0.33)	2 (1.67)	2
1055	0 (0.17)	1 (0.83)	1
1056	0 (0.17)	1 (0.83)	1
1059	0 (0.33)	2 (1.67)	2
1062	0 (0.17)	1 (0.83)	1
1063	0 (0.5)	3 (2.5)	3
1066	0 (0.33)	2 (1.67)	2
1068	0 (0.33)	2 (1.67)	2
1069	0 (0.33)	2 (1.67)	2
1073	0 (0.17)	1 (0.83)	1
1078	0 (0.17)	1 (0.83)	1
1082	0 (0.17)	1 (0.83)	1
1083	0 (0.17)	1 (0.83)	1
1086	1 (0.33)	1 (1.67)	2
1089	0 (0.17)	1 (0.83)	1
1091	0 (0.17)	1 (0.83)	1
1095	0 (0.17)	1 (0.83)	1
1096	0 (2.49)	15 (12.51)	15
1097	0 (0.17)	1 (0.83)	1
1098	0 (0.17)	1 (0.83)	1
1099	0 (0.17)	1 (0.83)	1
1101	0 (0.5)	3 (2.5)	3
1102	0 (0.33)	2 (1.67)	2
1104	0 (0.17)	1 (0.83)	1
1106	0 (0.17)	1 (0.83)	1
1107	0 (0.17)	1 (0.83)	1
1108	0 (1.0)	6 (5.0)	6
1109	0 (0.33)	2 (1.67)	2
1110	0 (0.17)	1 (0.83)	1
1112	0 (0.17)	1 (0.83)	1
1113	0 (0.33)	2 (1.67)	2
1114	0 (0.66)	4 (3.34)	4
1115	0 (0.33)	2 (1.67)	2
1116	0 (0.5)	3 (2.5)	3
1118	0 (0.17)	1 (0.83)	1
1119	0 (0.33)	2 (1.67)	2
1120	0 (0.17)	1 (0.83)	1
1123	0 (0.5)	3 (2.5)	3
1124	0 (0.17)	1 (0.83)	1
1125	0 (0.33)	2 (1.67)	2
1126	0 (0.17)	1 (0.83)	1
1127	0 (0.5)	3 (2.5)	3
1128	0 (0.17)	1 (0.83)	1
1129	0 (0.17)	1 (0.83)	1
1131	0 (0.17)	1 (0.83)	1
1135	0 (0.17)	1 (0.83)	1
1136	0 (0.33)	2 (1.67)	2
1137	0 (0.17)	1 (0.83)	1
1138	0 (0.17)	1 (0.83)	1
1140	0 (0.33)	2 (1.67)	2
1141	0 (0.17)	1 (0.83)	1
1143	0 (0.17)	1 (0.83)	1
1146	0 (0.33)	2 (1.67)	2
1148	0 (0.17)	1 (0.83)	1
1150	0 (0.17)	1 (0.83)	1
1153	0 (0.17)	1 (0.83)	1
1154	0 (0.17)	1 (0.83)	1
1155	1 (0.17)	0 (0.83)	1
1160	0 (0.17)	1 (0.83)	1
1163	0 (0.17)	1 (0.83)	1
1164	0 (0.17)	1 (0.83)	1
1168	0 (0.17)	1 (0.83)	1
1172	0 (0.17)	1 (0.83)	1
1177	1 (0.17)	0 (0.83)	1
1183	0 (0.17)	1 (0.83)	1
1186	0 (0.17)	1 (0.83)	1
1190	1 (0.17)	0 (0.83)	1
1193	0 (0.17)	1 (0.83)	1
1208	0 (0.17)	1 (0.83)	1
1211	0 (0.17)	1 (0.83)	1
1216	0 (0.17)	1 (0.83)	1
1217	0 (0.17)	1 (0.83)	1
1224	1 (0.17)	0 (0.83)	1
1229	0 (0.17)	1 (0.83)	1
1242	0 (0.17)	1 (0.83)	1
1260	0 (0.17)	1 (0.83)	1
1261	0 (0.33)	2 (1.67)	2
1266	0 (0.33)	2 (1.67)	2
1267	0 (0.17)	1 (0.83)	1
1272	0 (0.17)	1 (0.83)	1
1273	0 (0.17)	1 (0.83)	1
1274	0 (0.33)	2 (1.67)	2
1276	0 (0.33)	2 (1.67)	2
1277	0 (0.17)	1 (0.83)	1
1280	0 (0.17)	1 (0.83)	1
1284	0 (0.17)	1 (0.83)	1
1285	0 (0.33)	2 (1.67)	2
1290	1 (0.17)	0 (0.83)	1
1292	0 (0.17)	1 (0.83)	1
1298	0 (0.17)	1 (0.83)	1
1299	0 (0.17)	1 (0.83)	1
1302	0 (0.17)	1 (0.83)	1
1306	0 (0.17)	1 (0.83)	1
1307	1 (0.17)	0 (0.83)	1
1308	0 (0.33)	2 (1.67)	2
1309	0 (0.17)	1 (0.83)	1
1313	0 (0.17)	1 (0.83)	1
1314	0 (0.5)	3 (2.5)	3
1315	0 (0.17)	1 (0.83)	1
1316	0 (0.5)	3 (2.5)	3
1317	0 (0.33)	2 (1.67)	2
1318	0 (0.17)	1 (0.83)	1
1319	0 (0.33)	2 (1.67)	2
1328	0 (0.5)	3 (2.5)	3
1329	0 (0.17)	1 (0.83)	1
1332	0 (0.33)	2 (1.67)	2
1333	0 (0.17)	1 (0.83)	1
1334	1 (0.5)	2 (2.5)	3
1335	1 (0.33)	1 (1.67)	2
1336	0 (0.33)	2 (1.67)	2
1342	0 (0.5)	3 (2.5)	3
1343	0 (0.17)	1 (0.83)	1
1344	0 (0.5)	3 (2.5)	3
1345	0 (0.17)	1 (0.83)	1
1347	0 (0.17)	1 (0.83)	1
1348	0 (0.17)	1 (0.83)	1
1350	0 (0.17)	1 (0.83)	1
1354	0 (0.83)	5 (4.17)	5
1355	0 (0.17)	1 (0.83)	1
1356	0 (0.5)	3 (2.5)	3
1357	0 (0.17)	1 (0.83)	1
1360	0 (0.66)	4 (3.34)	4
1361	0 (0.33)	2 (1.67)	2
1362	0 (0.33)	2 (1.67)	2
1364	0 (0.33)	2 (1.67)	2
1365	0 (0.33)	2 (1.67)	2
1366	0 (0.33)	2 (1.67)	2
1367	0 (0.17)	1 (0.83)	1
1368	0 (0.33)	2 (1.67)	2
1369	0 (0.33)	2 (1.67)	2
1372	0 (0.83)	5 (4.17)	5
1374	0 (0.17)	1 (0.83)	1
1375	0 (0.33)	2 (1.67)	2
1376	0 (0.33)	2 (1.67)	2
1377	0 (0.17)	1 (0.83)	1
1378	0 (0.33)	2 (1.67)	2
1379	0 (0.66)	4 (3.34)	4
1381	0 (0.17)	1 (0.83)	1
1382	0 (0.33)	2 (1.67)	2
1384	0 (0.66)	4 (3.34)	4
1385	0 (1.16)	7 (5.84)	7
1386	0 (1.0)	6 (5.0)	6
1388	0 (0.17)	1 (0.83)	1
1389	0 (0.17)	1 (0.83)	1
1390	0 (0.5)	3 (2.5)	3
1391	0 (0.66)	4 (3.34)	4
1392	0 (0.17)	1 (0.83)	1
1393	0 (1.49)	9 (7.51)	9
1394	0 (0.17)	1 (0.83)	1
1397	0 (0.33)	2 (1.67)	2
1398	0 (0.66)	4 (3.34)	4
1399	0 (0.33)	2 (1.67)	2
1400	0 (0.5)	3 (2.5)	3
1403	0 (0.33)	2 (1.67)	2
1404	0 (0.17)	1 (0.83)	1
1405	0 (0.17)	1 (0.83)	1
1407	0 (0.5)	3 (2.5)	3
1409	0 (0.17)	1 (0.83)	1
1410	0 (0.66)	4 (3.34)	4
1411	0 (0.33)	2 (1.67)	2
1412	0 (0.17)	1 (0.83)	1
1413	0 (0.5)	3 (2.5)	3
1416	0 (0.33)	2 (1.67)	2
1417	0 (1.16)	7 (5.84)	7
1418	0 (0.33)	2 (1.67)	2
1419	0 (0.66)	4 (3.34)	4
1420	0 (3.15)	19 (15.85)	19
1428	0 (0.17)	1 (0.83)	1
1431	0 (0.83)	5 (4.17)	5
1442	0 (0.17)	1 (0.83)	1
1461	0 (0.17)	1 (0.83)	1
1530	0 (0.17)	1 (0.83)	1
1551	0 (0.17)	1 (0.83)	1
[unknown]	25 (14.27)	61 (71.73)	86
total	342	1719	2061

chi square wasn't calculated because 1517 expected values were less than 5

Veteran reenlistments

reenlisted as veteran volunteer	270	13.1%
did not reenlist as veteran volunteer	1791	86.9%

Veteran status

ineligible	1556	82.3%
veteran	270	14.3%
[unknown]	170	%
unwilling to reenlist	40	2.1%
willing to reenlist	25	1.3%

Volunteer status

volunteer	1424	69.2%
substitute	320	15.5%
draftee	314	15.3%
[unknown]	3	%

Wounded

not wounded	1740	84.4%
wounded	321	15.6%

Illness that caused death for men who died of illness while in the regiment

[unknown]	9	%
albuminuria; or albuminuria	1	2.3%
apoplexy	1	2.3%
chronic bronchitis	1	2.3%
chronic diarrhea	2	4.7%
chronic diarrhea; or chronic diarrhea	1	2.3%
consumption	1	2.3%
consumption lungs	1	2.3%
cramp colic; or natural causes	1	2.3%
delirium tremens	2	4.7%
enteritis	1	2.3%
exposure OR apoplexy; or exposure OR apoplexy	1	2.3%
heart disease	1	2.3%
inflammation of bowels	1	2.3%
inflammation of stomach and bowels	1	2.3%
measles	1	2.3%
meningitis	1	2.3%
phthisis pulmonalis	1	2.3%
phthisis pulmonalis; or typhoid fever	1	2.3%
pleurisy and pneumonia	1	2.3%
pulmonary disease from exposure; or phthisis pulmonalis	1	2.3%
smallpox	1	2.3%
sunstroke	1	2.3%
typhoid fever	8	18.6%
typhoid fever; or apoplexy	2	4.7%
typhoid fever; or peritonitis	1	2.3%
typhoid fever; or pulmonary consumption	1	2.3%
typhoid fever; or rheumatism	1	2.3%
typhoid fever; or typhoid fever	4	9.3%
typhoid pneumonia; or typhoid pneumonia	1	2.3%
unknown causes	1	2.3%

Cause of death

	6	1.2%
Andersonville, of starvation	1	0.2%
Andersonville; or diarrhea	1	0.2%
Bright's Disease	1	0.2%
Bright's disease of the kidneys	1	0.2%
Brights disease	1	0.2%
[illegible] gangrene of both legs	1	0.2%
[unknown]	1566	%
accidental overdose of laudanum	1	0.2%
accidentally killed on Reading RR	1	0.2%
acute Bright's disease	1	0.2%
acute [illegible] tuberculosis	1	0.2%
acute cystitis	1	0.2%
acute endocarditis; contributory: bronchial asthma	1	0.2%
acute gastritis;contributory: infirmities of old age	1	0.2%
acute meningitis	1	0.2%
albuminuria; or albuminuria	1	0.2%
alcoholism	2	0.4%
anaemia	1	0.2%
anasarca	1	0.2%
aneurysm of innominate artery	1	0.2%
aortic aneurysm	1	0.2%
aortic stenosis	1	0.2%
apopletic paralysis	1	0.2%
apoplexy	18	3.6%
apoplexy (cerebral)	1	0.2%
apoplexy superintended [?] by grippe with a violent cough; contributory: valvular heart disease	1	0.2%
apoplexy; contributory exhaustion	1	0.2%
apoplexy; contributory old age	1	0.2%
arterio-capillary fibrosis	1	0.2%
arterio-capillary fibrosis [?]	1	0.2%
arteriorsclerosis; feeble heart and general anasarca	1	0.2%
arteriosclerosis	1	0.2%
arteriosclerosis and fatty degeneration of heart	1	0.2%
arteriosclerosis; contributory bedsores	1	0.2%
arteriosclerosis; contributory emphysema of the lungs	1	0.2%
arteriosclerotic heart disease with failure; contributory: prostatic hypertrophy with urinary retention	1	0.2%
asthenia result of epithelioma	1	0.2%
asthma	1	0.2%
brain disease; apoplexy	1	0.2%
bronchial pneumonia	1	0.2%
bronchitis	1	0.2%
broncho-pneumonia	1	0.2%
bronchopneumonia	1	0.2%
bronchopneumonia; contributory chronic emphysema and bronchitis	1	0.2%
by a fall while in confinement; or fall from a window in hospital at Alexandria VA	1	0.2%
by fractured skull; or fractured skull	1	0.2%
cancer of intestine	1	0.2%
cancer of liver	1	0.2%
cancer of pylorus	1	0.2%
cancer of stomach	2	0.4%
cancer of the bowels; contributory: chronic dysentery	1	0.2%
capillary bronchitis	1	0.2%
capillary bronchitis resulting from an attack of influenza	1	0.2%
capillary bronchitis; contributory senility	1	0.2%
carbuncle	1	0.2%
carcinoma of carotid glands	1	0.2%
carcinoma of large intestine	1	0.2%
carcinoma of liver	1	0.2%
carcinoma of stomach and liver;acute cardiac dilatation	1	0.2%
carcinoma of the parotid	1	0.2%
carcinoma rectum	1	0.2%
carcinoma sublingual gland; contributory physical exhaustion	1	0.2%
cardiac hypertrophy; contributory chr nephritis	1	0.2%
cardiac paralysis; contributory: paralysis of bladder	1	0.2%
cardio-renal disease; arteriosclerosis; phlebitis; ulcers of the leg and foot	1	0.2%
catarrhal hemorrhage	1	0.2%
catarrhal jaundice and alcoholism	1	0.2%
cerebral apoplexy	1	0.2%
cerebral apoplexy; contributory arteriosclerosis	1	0.2%
cerebral embolism and chronic endocarditis	1	0.2%
cerebral haemorrhage from injuries received by accidental fall	1	0.2%
cerebral hemorrhage	4	0.8%
cerebral hemorrhage; contributory starvation	1	0.2%
cerebral hemorrhage;contributory: arteriosclerosis	1	0.2%
cerebral paralysis	1	0.2%
cerebral softening	1	0.2%
cerebral softenings	1	0.2%
cerebral tumor; secondary cause exhaustion	1	0.2%
cerebritis	1	0.2%
chief carcinoma of inferior maxilla; contributory exhaustion	1	0.2%
cholera asphyxia	1	0.2%
chronic Bright's disease	1	0.2%
chronic Brights disease	1	0.2%
chronic aortic regurgitation;contributory: chronic prostatitis	1	0.2%
chronic bronchitis	4	0.8%
chronic diarrhea	5	1.0%
chronic diarrhea; or chronic diarrhea	1	0.2%
chronic diarrhoea	1	0.2%
chronic dysentery	1	0.2%
chronic enteritis	2	0.4%
chronic enteritis; contributory: old age	1	0.2%
chronic gastroenteritis with hypertrophy of heart	1	0.2%
chronic interstitial nephritis; contributory arteriosclerosis	1	0.2%
chronic mental disorder and valvular disease of heart	1	0.2%
chronic myocardial insufficiency; contributing: arteriosclerosis; old age	1	0.2%
chronic nephritis	1	0.2%
chronic nephritis; contributory: anasarca	1	0.2%
chronic parenchymatous nephritis	1	0.2%
chronic parencymatous nephritis	1	0.2%
chronic valvular heart disease	1	0.2%
chronic valvular heart disease; contributory bronchitis	1	0.2%
cirrhosis of liver	3	0.6%
cirrhosis of liver; contributory constitutional	1	0.2%
congestion of brain	1	0.2%
congestion of lungs	1	0.2%
congestion of the brain	2	0.4%
congestive fever	1	0.2%
consumption	13	2.6%
consumption and heart disease	1	0.2%
consumption lungs	2	0.4%
consumption of lungs	6	1.2%
consumption of lungs [?]	1	0.2%
consumption of the lungs	1	0.2%
cramp colic; or natural causes	1	0.2%
cystitis and senility; contributory old age	1	0.2%
cystitis due to enlarged prostate; contributory old age	1	0.2%
cystitis; contributory enlarged prostate	1	0.2%
debility	1	0.2%
debility after debauch	1	0.2%
debility from malarial disease	1	0.2%
delerium tremens	1	0.2%
delirium tremens	4	0.8%
diabetes	1	0.2%
diabetes mellitus	1	0.2%
diarrhea	3	0.6%
diarrhea and debility	1	0.2%
dilatation of heart	2	0.4%
dilatation of heart;contributory: pulmonary complications;contributory: general edema	1	0.2%
disease of heart	1	0.2%
disease of liver + stomach	1	0.2%
disease of the heart	2	0.4%
dropsy	4	0.8%
dropsy from disease of liver	1	0.2%
dropsy of heart	1	0.2%
drowning	1	0.2%
edema of lungs + uremia; contributory melancholia pseudo-elephantiasis	1	0.2%
endocarditis;contributory: age	1	0.2%
endocarditis;contributory: hypostatic congestion of lungs	1	0.2%
engina pictorisis	1	0.2%
enteritis	1	0.2%
exhaustion	1	0.2%
exhaustion due to profuse discharge of pus; gunshot wound of right thigh	1	0.2%
exhaustion following phlebitis	1	0.2%
exhaustion from cystitis with infection;contributory: sciatic rheumatism	1	0.2%
exhaustion resulting from gunshot wound of left hand	1	0.2%
exhaustion; contributory: diabetes mellitus	1	0.2%
exposure OR apoplexy; or exposure OR apoplexy	1	0.2%
fatty degeneration of heart	1	0.2%
fatty degeneration of the heart	1	0.2%
frac base of skull due to acdl fall on pavement	1	0.2%
fracture base of skull anterior fossa; run down by automobile	1	0.2%
galloping consumption	1	0.2%
gastroentritis; contributory exhaustion	1	0.2%
general debility	2	0.4%
general drops from organic valvular disease of the heart	1	0.2%
general paralysis	1	0.2%
gun shot wound	1	0.2%
gun shot wound recd in battle	1	0.2%
gunshot flesh wound of left thigh	1	0.2%
gunshot wound	3	0.6%
haemoptysus (consumption)	1	0.2%
haemorrhage of lungs	1	0.2%
heart attack	1	0.2%
heart clot following amputation	1	0.2%
heart disease	9	1.8%
heart disease (mitral insufficiency)	1	0.2%
heart disease - valvular	1	0.2%
heart disease and Bright's disease of the kidney	1	0.2%
heart disease;contributory chronic interstitial nephritis	1	0.2%
heart trouble	1	0.2%
heart trouble and dropsy	1	0.2%
hemiplegia + nephritis	1	0.2%
hemorrhage of lungs	1	0.2%
hydropericarditis	1	0.2%
hypertrophic cirrhosis of liver and secondary carcinoma;exhaustion	1	0.2%
hypertrophy of heart	1	0.2%
in Andersonville Prison, Georgia	1	0.2%
in Andersonville Prison, Georgia, of marasmus	1	0.2%
in Richmond Prison	1	0.2%
in Richmond, Virginia	1	0.2%
inanition	1	0.2%
inanition; contributory alcoholic gastritis	1	0.2%
incipient phthisis [and diarrhea?]	1	0.2%
inflammation of bowels	3	0.6%
inflammation of brain + pneumonia	1	0.2%
inflammation of knee joint	1	0.2%
inflammation of stomach	1	0.2%
inflammation of stomach and bowels	1	0.2%
inflammation of the brain; contributory coma	1	0.2%
inflammation of the lungs	1	0.2%
inflammation of throat + hemorrhage	1	0.2%
injuries accd recd from a fall	1	0.2%
injuries accidentally received	1	0.2%
injuries in falling	1	0.2%
injuries recd by a fall down stairs	1	0.2%
injuries received from a fall	1	0.2%
injuries received in a fall	1	0.2%
internal hemorrhage	1	0.2%
interstitial nephritis and cardiac incompetence	1	0.2%
interstitial nephritis; contributory pulmonary edema	1	0.2%
intestinal carcinoma [and] exhaustion	1	0.2%
intestinal obstruction	1	0.2%
intestinal obstruction and gradual decline from infirmities of old age	1	0.2%
intussusception of bowel; contributory: inflammation	1	0.2%
la grippe	1	0.2%
lobar pneumnoia	1	0.2%
lobar pneumonia r side	1	0.2%
lobar pneumonia right lung; heart disease [illegible] with dilatation	1	0.2%
lobar pneumonia; contributory senility and arteriosclerosis	1	0.2%
locomotor ataxia	2	0.4%
locomotor ataxia--contributory nephritis + heart failure	1	0.2%
marasmus + acute alcoholism	1	0.2%
measles	1	0.2%
meningitis	1	0.2%
mitral regurgitation	1	0.2%
mitral regurgitation + stenosis	1	0.2%
motor vehicle accident	1	0.2%
myocarditis and nephritis	1	0.2%
myocarditis and valvular heart disease	1	0.2%
myocarditis; contributory nephritis	1	0.2%
myocarditis;endocarditis [?]; contributory: chronic interstitial nephritis [?]	1	0.2%
natural causes	3	0.6%
nephritis	2	0.4%
nephritis (chronic); contributory: apoplexy	1	0.2%
nephritis comp with heart disease	1	0.2%
nephritis; contributory myocarditis	1	0.2%
no doctor in charge [sic]	1	0.2%
obstruction of bowels	1	0.2%
oedema of lungs	1	0.2%
old age	2	0.4%
old age and debility	1	0.2%
organic disease of heart and mitral regurgitation	1	0.2%
organic heart disease	1	0.2%
organic heart disease (mitral);contributory: arteriosclerosis	1	0.2%
organic heart disease; aortic stenosis; secondary to aortitis	1	0.2%
organic heart failure caused by old age	1	0.2%
paralysis	6	1.2%
paralysis of bladder	1	0.2%
paralysis of the brain	2	0.4%
paralysis; contributory: dropsy attending hypertrophy of the heart	1	0.2%
paresis	1	0.2%
peritonitis	1	0.2%
phthisis	6	1.2%
phthisis pulmonalis	26	5.3%
phthisis pulmonalis; or typhoid fever	1	0.2%
pleurisy and pneumonia	1	0.2%
pleuro-pneumonia	1	0.2%
pneumonia	10	2.0%
pneumonia; contributory chronic interstitial nephritis with cardiac degeneration	1	0.2%
pneumonia; contributory collopus [?]	1	0.2%
pneumonia; contributory general catarrh and influenzic catarrh	1	0.2%
pneumonia; contributory: influenza	1	0.2%
pneumonia; senile decay contributing	1	0.2%
pulled out of a train	1	0.2%
pulmonary consumption	3	0.6%
pulmonary disease from exposure; or phthisis pulmonalis	1	0.2%
pulmonary phthisis	1	0.2%
pulmonary phthisis and enlarged liver	1	0.2%
pulmonary tuberculosis	3	0.6%
rapid consumption	1	0.2%
run over by railroad train	1	0.2%
running sore and general debility	1	0.2%
sclerosis of liver	1	0.2%
second hemorrhage (amp of thigh)	1	0.2%
senile debility	1	0.2%
senile debility; contributory fall fracturing 2 ribs + various other injuries + shock	1	0.2%
senile gangrene	1	0.2%
senility	2	0.4%
senility and hypostatic congestion of the lungs;contributory fracture of neck of femure (fell down stairs)	1	0.2%
septicaemia and uraemia	1	0.2%
shipwreck	1	0.2%
shot in head	4	0.8%
shot in head while charging enemy works	1	0.2%
shot in head while charging enemy's works	1	0.2%
shot in leg	1	0.2%
smallpox	2	0.4%
strangulated hernia	1	0.2%
stroke	1	0.2%
stroke of paralysis	1	0.2%
subacute inflammation of liver;dropsy of chest and abdomen	1	0.2%
suffocation	1	0.2%
suicide	3	0.6%
suicide by hanging while suffering from melancholy	1	0.2%
suicide by taking Paris Green	1	0.2%
sunstroke	1	0.2%
supposed disease of the heart	1	0.2%
surgical shock while undergoing an operation	1	0.2%
syncope	1	0.2%
syphilis	1	0.2%
terminal dementia; contributory mitral insuffiency	1	0.2%
thermic fever;cerebral apoplexy	1	0.2%
trampled	1	0.2%
transverse myelitis	1	0.2%
trismus	1	0.2%
tubercular esophageal mass	1	0.2%
tubercular laryngitis	1	0.2%
tuberculosis	2	0.4%
tuberculosis pulmonalis; contributory: acute gastroenteritis	1	0.2%
typhoid fever	14	2.8%
typhoid fever; or apoplexy	2	0.4%
typhoid fever; or peritonitis	1	0.2%
typhoid fever; or pulmonary consumption	1	0.2%
typhoid fever; or rheumatism	1	0.2%
typhoid fever; or typhoid fever	4	0.8%
typhoid pneumonia	2	0.4%
typhoid pneumonia with congestion	1	0.2%
typhoid pneumonia; or typhoid pneumonia	1	0.2%
ulcer of stomach; contributory hemorrhages from stomach	1	0.2%
unknown causes	1	0.2%
uraemia--contributory chronic interstitial nephritis	1	0.2%
uraemia; contributory injuries accidentally received falling down stairs	1	0.2%
uraemia; contributory: Bright's disease	1	0.2%
uraemic convulsions	1	0.2%
uraemic poisoning;contributory hypostatic congestion of lungs	1	0.2%
uremia	2	0.4%
uremia and congestion of liver	1	0.2%
uremia chronic myocarditis; contributory: gangrene left leg	1	0.2%
uremia due to Bright's disease	1	0.2%
uremic coma due to Bright's disease	1	0.2%
uremic toxemia;general arteriosclerosis and contracted kidney	1	0.2%
valvular disease of heart	4	0.8%
valvular disease of heart; contributory: chronic bronchitis	1	0.2%
valvular disease of the heart	2	0.4%
valvular heart disease	1	0.2%
valvular heart disease; contributory hardening of arteries	1	0.2%
valvular heart disease; contributory pneumonia	1	0.2%
wounded in left breast	1	0.2%
wounds	1	0.2%
wounds received in action and loss of limb	1	0.2%
wounds received in battle	1	0.2%
wounds--gun shot	1	0.2%

Cause of death, for men who did not die in the war

	6	1.4%
Bright's Disease	1	0.2%
Bright's disease of the kidneys	1	0.2%
Brights disease	1	0.2%
[illegible] gangrene of both legs	1	0.2%
[unknown]	1457	%
accidental overdose of laudanum	1	0.2%
accidentally killed on Reading RR	1	0.2%
acute Bright's disease	1	0.2%
acute [illegible] tuberculosis	1	0.2%
acute cystitis	1	0.2%
acute endocarditis; contributory: bronchial asthma	1	0.2%
acute gastritis;contributory: infirmities of old age	1	0.2%
acute meningitis	1	0.2%
alcoholism	2	0.5%
anaemia	1	0.2%
anasarca	1	0.2%
aneurysm of innominate artery	1	0.2%
aortic aneurysm	1	0.2%
aortic stenosis	1	0.2%
apopletic paralysis	1	0.2%
apoplexy	17	4.1%
apoplexy (cerebral)	1	0.2%
apoplexy superintended [?] by grippe with a violent cough; contributory: valvular heart disease	1	0.2%
apoplexy; contributory exhaustion	1	0.2%
apoplexy; contributory old age	1	0.2%
arterio-capillary fibrosis	1	0.2%
arterio-capillary fibrosis [?]	1	0.2%
arteriorsclerosis; feeble heart and general anasarca	1	0.2%
arteriosclerosis	1	0.2%
arteriosclerosis and fatty degeneration of heart	1	0.2%
arteriosclerosis; contributory bedsores	1	0.2%
arteriosclerosis; contributory emphysema of the lungs	1	0.2%
arteriosclerotic heart disease with failure; contributory: prostatic hypertrophy with urinary retention	1	0.2%
asthenia result of epithelioma	1	0.2%
asthma	1	0.2%
brain disease; apoplexy	1	0.2%
bronchial pneumonia	1	0.2%
bronchitis	1	0.2%
broncho-pneumonia	1	0.2%
bronchopneumonia	1	0.2%
bronchopneumonia; contributory chronic emphysema and bronchitis	1	0.2%
cancer of intestine	1	0.2%
cancer of liver	1	0.2%
cancer of pylorus	1	0.2%
cancer of stomach	2	0.5%
cancer of the bowels; contributory: chronic dysentery	1	0.2%
capillary bronchitis	1	0.2%
capillary bronchitis resulting from an attack of influenza	1	0.2%
capillary bronchitis; contributory senility	1	0.2%
carbuncle	1	0.2%
carcinoma of carotid glands	1	0.2%
carcinoma of large intestine	1	0.2%
carcinoma of liver	1	0.2%
carcinoma of stomach and liver;acute cardiac dilatation	1	0.2%
carcinoma of the parotid	1	0.2%
carcinoma rectum	1	0.2%
carcinoma sublingual gland; contributory physical exhaustion	1	0.2%
cardiac hypertrophy; contributory chr nephritis	1	0.2%
cardiac paralysis; contributory: paralysis of bladder	1	0.2%
cardio-renal disease; arteriosclerosis; phlebitis; ulcers of the leg and foot	1	0.2%
catarrhal hemorrhage	1	0.2%
catarrhal jaundice and alcoholism	1	0.2%
cerebral apoplexy	1	0.2%
cerebral apoplexy; contributory arteriosclerosis	1	0.2%
cerebral embolism and chronic endocarditis	1	0.2%
cerebral haemorrhage from injuries received by accidental fall	1	0.2%
cerebral hemorrhage	4	1.0%
cerebral hemorrhage; contributory starvation	1	0.2%
cerebral hemorrhage;contributory: arteriosclerosis	1	0.2%
cerebral paralysis	1	0.2%
cerebral softening	1	0.2%
cerebral softenings	1	0.2%
cerebral tumor; secondary cause exhaustion	1	0.2%
cerebritis	1	0.2%
chief carcinoma of inferior maxilla; contributory exhaustion	1	0.2%
cholera asphyxia	1	0.2%
chronic Bright's disease	1	0.2%
chronic Brights disease	1	0.2%
chronic aortic regurgitation;contributory: chronic prostatitis	1	0.2%
chronic bronchitis	3	0.7%
chronic diarrhea	3	0.7%
chronic diarrhoea	1	0.2%
chronic dysentery	1	0.2%
chronic enteritis	2	0.5%
chronic enteritis; contributory: old age	1	0.2%
chronic gastroenteritis with hypertrophy of heart	1	0.2%
chronic interstitial nephritis; contributory arteriosclerosis	1	0.2%
chronic mental disorder and valvular disease of heart	1	0.2%
chronic myocardial insufficiency; contributing: arteriosclerosis; old age	1	0.2%
chronic nephritis	1	0.2%
chronic nephritis; contributory: anasarca	1	0.2%
chronic parenchymatous nephritis	1	0.2%
chronic parencymatous nephritis	1	0.2%
chronic valvular heart disease	1	0.2%
chronic valvular heart disease; contributory bronchitis	1	0.2%
cirrhosis of liver	3	0.7%
cirrhosis of liver; contributory constitutional	1	0.2%
congestion of brain	1	0.2%
congestion of lungs	1	0.2%
congestion of the brain	2	0.5%
consumption	12	2.9%
consumption and heart disease	1	0.2%
consumption lungs	1	0.2%
consumption of lungs	6	1.4%
consumption of lungs [?]	1	0.2%
consumption of the lungs	1	0.2%
cystitis and senility; contributory old age	1	0.2%
cystitis due to enlarged prostate; contributory old age	1	0.2%
cystitis; contributory enlarged prostate	1	0.2%
debility	1	0.2%
debility after debauch	1	0.2%
debility from malarial disease	1	0.2%
delerium tremens	1	0.2%
delirium tremens	2	0.5%
diabetes	1	0.2%
diabetes mellitus	1	0.2%
diarrhea	3	0.7%
diarrhea and debility	1	0.2%
dilatation of heart	2	0.5%
dilatation of heart;contributory: pulmonary complications;contributory: general edema	1	0.2%
disease of heart	1	0.2%
disease of liver + stomach	1	0.2%
disease of the heart	2	0.5%
dropsy	4	1.0%
dropsy from disease of liver	1	0.2%
dropsy of heart	1	0.2%
edema of lungs + uremia; contributory melancholia pseudo-elephantiasis	1	0.2%
endocarditis;contributory: age	1	0.2%
endocarditis;contributory: hypostatic congestion of lungs	1	0.2%
engina pictorisis	1	0.2%
exhaustion	1	0.2%
exhaustion following phlebitis	1	0.2%
exhaustion from cystitis with infection;contributory: sciatic rheumatism	1	0.2%
exhaustion; contributory: diabetes mellitus	1	0.2%
fatty degeneration of heart	1	0.2%
fatty degeneration of the heart	1	0.2%
frac base of skull due to acdl fall on pavement	1	0.2%
fracture base of skull anterior fossa; run down by automobile	1	0.2%
galloping consumption	1	0.2%
gastroentritis; contributory exhaustion	1	0.2%
general debility	2	0.5%
general drops from organic valvular disease of the heart	1	0.2%
general paralysis	1	0.2%
haemoptysus (consumption)	1	0.2%
haemorrhage of lungs	1	0.2%
heart attack	1	0.2%
heart clot following amputation	1	0.2%
heart disease	8	1.9%
heart disease (mitral insufficiency)	1	0.2%
heart disease - valvular	1	0.2%
heart disease and Bright's disease of the kidney	1	0.2%
heart disease;contributory chronic interstitial nephritis	1	0.2%
heart trouble	1	0.2%
heart trouble and dropsy	1	0.2%
hemiplegia + nephritis	1	0.2%
hemorrhage of lungs	1	0.2%
hydropericarditis	1	0.2%
hypertrophic cirrhosis of liver and secondary carcinoma;exhaustion	1	0.2%
hypertrophy of heart	1	0.2%
inanition	1	0.2%
inanition; contributory alcoholic gastritis	1	0.2%
incipient phthisis [and diarrhea?]	1	0.2%
inflammation of bowels	2	0.5%
inflammation of brain + pneumonia	1	0.2%
inflammation of knee joint	1	0.2%
inflammation of stomach	1	0.2%
inflammation of the brain; contributory coma	1	0.2%
inflammation of the lungs	1	0.2%
inflammation of throat + hemorrhage	1	0.2%
injuries accd recd from a fall	1	0.2%
injuries accidentally received	1	0.2%
injuries in falling	1	0.2%
injuries recd by a fall down stairs	1	0.2%
injuries received from a fall	1	0.2%
internal hemorrhage	1	0.2%
interstitial nephritis and cardiac incompetence	1	0.2%
interstitial nephritis; contributory pulmonary edema	1	0.2%
intestinal carcinoma [and] exhaustion	1	0.2%
intestinal obstruction	1	0.2%
intestinal obstruction and gradual decline from infirmities of old age	1	0.2%
intussusception of bowel; contributory: inflammation	1	0.2%
la grippe	1	0.2%
lobar pneumnoia	1	0.2%
lobar pneumonia r side	1	0.2%
lobar pneumonia right lung; heart disease [illegible] with dilatation	1	0.2%
lobar pneumonia; contributory senility and arteriosclerosis	1	0.2%
locomotor ataxia	2	0.5%
locomotor ataxia--contributory nephritis + heart failure	1	0.2%
marasmus + acute alcoholism	1	0.2%
mitral regurgitation	1	0.2%
mitral regurgitation + stenosis	1	0.2%
motor vehicle accident	1	0.2%
myocarditis and nephritis	1	0.2%
myocarditis and valvular heart disease	1	0.2%
myocarditis; contributory nephritis	1	0.2%
myocarditis;endocarditis [?]; contributory: chronic interstitial nephritis [?]	1	0.2%
natural causes	3	0.7%
nephritis	2	0.5%
nephritis (chronic); contributory: apoplexy	1	0.2%
nephritis comp with heart disease	1	0.2%
nephritis; contributory myocarditis	1	0.2%
no doctor in charge [sic]	1	0.2%
obstruction of bowels	1	0.2%
oedema of lungs	1	0.2%
old age	2	0.5%
old age and debility	1	0.2%
organic disease of heart and mitral regurgitation	1	0.2%
organic heart disease	1	0.2%
organic heart disease (mitral);contributory: arteriosclerosis	1	0.2%
organic heart disease; aortic stenosis; secondary to aortitis	1	0.2%
organic heart failure caused by old age	1	0.2%
paralysis	6	1.4%
paralysis of bladder	1	0.2%
paralysis of the brain	2	0.5%
paralysis; contributory: dropsy attending hypertrophy of the heart	1	0.2%
paresis	1	0.2%
peritonitis	1	0.2%
phthisis	6	1.4%
phthisis pulmonalis	24	5.8%
pleuro-pneumonia	1	0.2%
pneumonia	10	2.4%
pneumonia; contributory chronic interstitial nephritis with cardiac degeneration	1	0.2%
pneumonia; contributory collopus [?]	1	0.2%
pneumonia; contributory general catarrh and influenzic catarrh	1	0.2%
pneumonia; contributory: influenza	1	0.2%
pneumonia; senile decay contributing	1	0.2%
pulmonary consumption	3	0.7%
pulmonary phthisis	1	0.2%
pulmonary phthisis and enlarged liver	1	0.2%
pulmonary tuberculosis	3	0.7%
rapid consumption	1	0.2%
running sore and general debility	1	0.2%
sclerosis of liver	1	0.2%
second hemorrhage (amp of thigh)	1	0.2%
senile debility	1	0.2%
senile debility; contributory fall fracturing 2 ribs + various other injuries + shock	1	0.2%
senile gangrene	1	0.2%
senility	2	0.5%
senility and hypostatic congestion of the lungs;contributory fracture of neck of femure (fell down stairs)	1	0.2%
septicaemia and uraemia	1	0.2%
shipwreck	1	0.2%
smallpox	1	0.2%
strangulated hernia	1	0.2%
stroke	1	0.2%
stroke of paralysis	1	0.2%
subacute inflammation of liver;dropsy of chest and abdomen	1	0.2%
suffocation	1	0.2%
suicide	3	0.7%
suicide by hanging while suffering from melancholy	1	0.2%
suicide by taking Paris Green	1	0.2%
supposed disease of the heart	1	0.2%
surgical shock while undergoing an operation	1	0.2%
syncope	1	0.2%
syphilis	1	0.2%
terminal dementia; contributory mitral insuffiency	1	0.2%
thermic fever;cerebral apoplexy	1	0.2%
transverse myelitis	1	0.2%
tubercular esophageal mass	1	0.2%
tubercular laryngitis	1	0.2%
tuberculosis	2	0.5%
tuberculosis pulmonalis; contributory: acute gastroenteritis	1	0.2%
typhoid fever	5	1.2%
typhoid pneumonia	1	0.2%
ulcer of stomach; contributory hemorrhages from stomach	1	0.2%
uraemia--contributory chronic interstitial nephritis	1	0.2%
uraemia; contributory injuries accidentally received falling down stairs	1	0.2%
uraemia; contributory: Bright's disease	1	0.2%
uraemic convulsions	1	0.2%
uraemic poisoning;contributory hypostatic congestion of lungs	1	0.2%
uremia	2	0.5%
uremia and congestion of liver	1	0.2%
uremia chronic myocarditis; contributory: gangrene left leg	1	0.2%
uremia due to Bright's disease	1	0.2%
uremic coma due to Bright's disease	1	0.2%
uremic toxemia;general arteriosclerosis and contracted kidney	1	0.2%
valvular disease of heart	4	1.0%
valvular disease of heart; contributory: chronic bronchitis	1	0.2%
valvular disease of the heart	2	0.5%
valvular heart disease	1	0.2%
valvular heart disease; contributory hardening of arteries	1	0.2%
valvular heart disease; contributory pneumonia	1	0.2%
wounds received in battle	1	0.2%

Desertions by volunteer status

	deserted	never deserted	total
[unknown]	0 (0.53)	3 (2.47)	3
draftee	13 (55.46)	301 (258.54)	314
substitute	49 (56.52)	271 (263.48)	320
volunteer	302 (251.5)	1122 (1172.5)	1424
total	364	1697	2061

chi square wasn't calculated because 2 expected values were less than 5

Desertions by volunteer status (excluding unknowns)

	deserted	never deserted	total
draftee	13 (55.54)	301 (258.46)	314
substitute	49 (56.6)	271 (263.4)	320
volunteer	302 (251.86)	1122 (1172.14)	1424
total	364	1694	2058

values in parentheses are expected values
degrees of freedom: 2
chi-square: 52.95
p < 5.0E-4
Cramer's V: 0.16

Desertion status, by veteran status, excluding unknowns

	deserted	never deserted	total
ineligible	288 (272.36)	1268 (1283.64)	1556
unwilling to reenlist	6 (7.0)	34 (33.0)	40
veteran	35 (47.26)	235 (222.74)	270
willing to reenlist	2 (4.38)	23 (20.62)	25
total	331	1560	1891

values in parentheses are expected values
degrees of freedom: 3
chi-square: 6.69
p < 0.1
Cramer's V: 0.06

Desertion status, by veteran status (volunteers only), excluding unknowns

	deserted	never deserted	total
ineligible	226 (197.31)	696 (724.69)	922
unwilling to reenlist	6 (8.56)	34 (31.44)	40
veteran	35 (57.78)	235 (212.22)	270
willing to reenlist	2 (5.35)	23 (19.65)	25
total	269	988	1257

values in parentheses are expected values
degrees of freedom: 3
chi-square: 20.38
p < 5.0E-4
Cramer's V: 0.13

Deaths, by volunteer status

	did not die while in regiment	died while in regiment	total
[unknown]	3 (2.72)	0 (0.28)	3
draftee	302 (285.05)	12 (28.95)	314
substitute	309 (290.5)	11 (29.5)	320
volunteer	1257 (1292.72)	167 (131.28)	1424
total	1871	190	2061

chi square wasn't calculated because 2 expected values were less than 5

Deaths, by time in regiment

	did not die while in regiment	died while in regiment	total
A: 0-9 days	124 (112.57)	0 (11.43)	124
B: 10-399 days	839 (834.28)	80 (84.72)	919
C: 400-799 days	424 (430.3)	50 (43.7)	474
D: 800-1199 days	173 (206.07)	54 (20.93)	227
E: 1200 or more days	228 (209.7)	3 (21.3)	231
[unknown]	83 (78.07)	3 (7.93)	86
total	1871	190	2061

values in parentheses are expected values
degrees of freedom: 5
chi-square: 92.14
p < 5.0E-4
Cramer's V: 0.21

Desertions by birth country

	deserted	never deserted	total
Bavaria	1 (0.53)	2 (2.47)	3
Belgium	1 (0.18)	0 (0.82)	1
Canada	7 (4.06)	16 (18.94)	23
England	20 (12.89)	53 (60.11)	73
France	1 (2.83)	15 (13.17)	16
Germany	11 (14.31)	70 (66.69)	81
Ireland	76 (46.27)	186 (215.73)	262
Jamaica	1 (0.18)	0 (0.82)	1
Malta	0 (0.18)	1 (0.82)	1
Poland	1 (0.18)	0 (0.82)	1
Prussia	0 (1.06)	6 (4.94)	6
Scotland	4 (3.71)	17 (17.29)	21
Spain	2 (0.35)	0 (1.65)	2
Switzerland	1 (1.24)	6 (5.76)	7
US	143 (196.39)	969 (915.61)	1112
Wales	0 (0.53)	3 (2.47)	3
Wurtemburg	1 (0.35)	1 (1.65)	2
[unknown]	94 (78.77)	352 (367.23)	446
total	364	1697	2061

chi square wasn't calculated because 22 expected values were less than 5

Desertions by birth country (excluding unknowns)

	deserted	never deserted	total
US	143 (196.39)	969 (915.61)	1112
not US	221 (167.61)	728 (781.39)	949
total	364	1697	2061

values in parentheses are expected values
degrees of freedom: 1
chi-square: 38.28
p < 5.0E-4
Cramer's V: 0.14

Desertions, by occupation class

	deserted	never deserted	total
Artisans	66 (75.59)	362 (352.41)	428
Manual laborers	94 (73.47)	322 (342.53)	416
Not in labor force	1 (0.71)	3 (3.29)	4
Professionals and large proprietors	0 (2.83)	16 (13.17)	16
Semi-professionals and smaller proprietors	41 (67.29)	340 (313.71)	381
Service and semi-skilled workers	23 (18.9)	84 (88.1)	107
[unknown]	126 (114.45)	522 (533.55)	648
unknown class	13 (10.77)	48 (50.23)	61
total	364	1697	2061

values in parentheses are expected values
degrees of freedom: 7
chi-square: 27.56
p < 5.0E-4
Cramer's V: 0.12

Desertions, by HISCO major class

	deserted	never deserted	total
[unknown]	128 (117.09)	535 (545.91)	663
administrative and managerial workers	0 (0.18)	1 (0.82)	1
agricultural, animal husbandry and forestry workers, fisherman, and hunters	18 (36.56)	189 (170.44)	207
clerical and related workers	16 (14.84)	68 (69.16)	84
not in work force	1 (0.71)	3 (3.29)	4
production and related workers, transport equipment operators, and laborers	193 (183.85)	848 (857.15)	1041
professional, technical, and related workers	1 (1.77)	9 (8.23)	10
sales workers	4 (6.18)	31 (28.82)	35
service workers	3 (2.83)	13 (13.17)	16
total	364	1697	2061

chi square wasn't calculated because 6 expected values were less than 5

Desertions, by occupation class (excluding unknowns)

	deserted	never deserted	total
Artisans	66 (71.23)	362 (356.77)	428
Manual laborers	94 (69.23)	322 (346.77)	416
Not in labor force	1 (0.67)	3 (3.33)	4
Professionals and large proprietors	0 (2.66)	16 (13.34)	16
Semi-professionals and smaller proprietors	41 (63.41)	340 (317.59)	381
Service and semi-skilled workers	23 (17.81)	84 (89.19)	107
total	225	1127	1352

chi square wasn't calculated because 3 expected values were less than 5

Desertions, by (collapsed) occupation class (excluding unknowns)

	deserted	never deserted	total
Artisans	66 (71.23)	362 (356.77)	428
Manual laborers	94 (69.23)	322 (346.77)	416
Other	1 (3.33)	19 (16.67)	20
Semi-professionals and smaller proprietors	41 (63.41)	340 (317.59)	381
Service and semi-skilled workers	23 (17.81)	84 (89.19)	107
total	225	1127	1352

values in parentheses are expected values
degrees of freedom: 4
chi-square: 24.36
p < 5.0E-4
Cramer's V: 0.13

Month and year of desertion (including multiple desertions)

1861 08 [September]	5	1.6%
1861 09 [October]	21	6.7%
1861 10 [November]	16	5.1%
1861 11 [December]	21	6.7%
1862 00 [January]	14	4.4%
1862 01 [February]	2	0.6%
1862 02 [March]	8	2.5%
1862 03 [April]	9	2.9%
1862 04 [May]	6	1.9%
1862 05 [June]	13	4.1%
1862 06 [July]	7	2.2%
1862 07 [August]	14	4.4%
1862 08 [September]	10	3.2%
1862 09 [October]	7	2.2%
1862 10 [November]	1	0.3%
1862 11 [December]	4	1.3%
1863 00 [January]	3	1.0%
1863 01 [February]	2	0.6%
1863 02 [March]	2	0.6%
1863 03 [April]	3	1.0%
1863 04 [May]	4	1.3%
1863 05 [June]	5	1.6%
1863 06 [July]	7	2.2%
1863 07 [August]	3	1.0%
1863 08 [September]	3	1.0%
1863 10 [November]	1	0.3%
1863 11 [December]	1	0.3%
1864 00 [January]	7	2.2%
1864 01 [February]	11	3.5%
1864 02 [March]	16	5.1%
1864 03 [April]	5	1.6%
1864 04 [May]	2	0.6%
1864 05 [June]	8	2.5%
1864 06 [July]	10	3.2%
1864 07 [August]	4	1.3%
1864 09 [October]	1	0.3%
1864 11 [December]	7	2.2%
1865 01 [February]	3	1.0%
1865 02 [March]	24	7.6%
1865 03 [April]	7	2.2%
1865 04 [May]	4	1.3%
1865 05 [June]	29	9.2%
1865 06 [July]	6	1.9%
[unknown]	49	%

Month and year of desertion (including multiple desertions), volunteers only

1861 08 [September]	5	1.9%
1861 09 [October]	21	8.2%
1861 10 [November]	16	6.2%
1861 11 [December]	21	8.2%
1862 00 [January]	14	5.4%
1862 01 [February]	2	0.8%
1862 02 [March]	8	3.1%
1862 03 [April]	9	3.5%
1862 04 [May]	6	2.3%
1862 05 [June]	13	5.1%
1862 06 [July]	7	2.7%
1862 07 [August]	14	5.4%
1862 08 [September]	10	3.9%
1862 09 [October]	7	2.7%
1862 10 [November]	1	0.4%
1862 11 [December]	4	1.6%
1863 00 [January]	3	1.2%
1863 01 [February]	2	0.8%
1863 02 [March]	2	0.8%
1863 03 [April]	3	1.2%
1863 04 [May]	4	1.6%
1863 05 [June]	5	1.9%
1863 06 [July]	7	2.7%
1863 07 [August]	3	1.2%
1863 08 [September]	3	1.2%
1863 10 [November]	1	0.4%
1863 11 [December]	1	0.4%
1864 00 [January]	7	2.7%
1864 01 [February]	11	4.3%
1864 02 [March]	16	6.2%
1864 03 [April]	5	1.9%
1864 04 [May]	2	0.8%
1864 05 [June]	7	2.7%
1864 06 [July]	9	3.5%
1864 07 [August]	4	1.6%
1864 11 [December]	3	1.2%
1865 01 [February]	1	0.4%
1865 02 [March]	7	2.7%
1865 03 [April]	3	1.2%
1865 04 [May]	1	0.4%
1865 05 [June]	5	1.9%
1865 06 [July]	2	0.8%
[unknown]	45	%

Month and year of desertion (including multiple desertions), drafted men only

1864 05 [June]	1	9.1%
1864 06 [July]	1	9.1%
1864 09 [October]	1	9.1%
1864 11 [December]	1	9.1%
1865 05 [June]	8	72.7%
[unknown]	2	%

Month and year of desertion (including multiple desertions), substitutes only

1864 11 [December]	3	6.4%
1865 01 [February]	2	4.3%
1865 02 [March]	17	36.2%
1865 03 [April]	4	8.5%
1865 04 [May]	3	6.4%
1865 05 [June]	16	34.0%
1865 06 [July]	4	8.5%
[unknown]	2	%

Year of desertion (including multiple desertions)

1861	63	20.0%
1862	95	30.2%
1863	34	10.8%
1864	71	22.5%
1865	73	23.2%
[unknown]	49	%

Year of desertion (including multiple desertions), volunteers only

1861	63	24.5%
1862	95	37.0%
1863	34	13.2%
1864	64	24.9%
1865	19	7.4%
[unknown]	45	%

Year of desertion (including multiple desertions), drafted men only

1864	4	36.4%
1865	8	72.7%
[unknown]	2	%

Year of desertion (including multiple desertions), substitutes only

1864	3	6.4%
1865	46	97.9%
[unknown]	2	%

Deaths by birth country

	did not die while in regiment	died while in regiment	total
Bavaria	3 (2.72)	0 (0.28)	3
Belgium	1 (0.91)	0 (0.09)	1
Canada	23 (20.88)	0 (2.12)	23
England	68 (66.27)	5 (6.73)	73
France	15 (14.52)	1 (1.48)	16
Germany	76 (73.53)	5 (7.47)	81
Ireland	232 (237.85)	30 (24.15)	262
Jamaica	1 (0.91)	0 (0.09)	1
Malta	1 (0.91)	0 (0.09)	1
Poland	1 (0.91)	0 (0.09)	1
Prussia	6 (5.45)	0 (0.55)	6
Scotland	17 (19.06)	4 (1.94)	21
Spain	2 (1.82)	0 (0.18)	2
Switzerland	7 (6.35)	0 (0.65)	7
US	1003 (1009.49)	109 (102.51)	1112
Wales	3 (2.72)	0 (0.28)	3
Wurtemburg	2 (1.82)	0 (0.18)	2
[unknown]	410 (404.88)	36 (41.12)	446
total	1871	190	2061

chi square wasn't calculated because 21 expected values were less than 5

Deaths by veteran status

	did not die while in regiment	died while in regiment	total
[unknown]	161 (154.33)	9 (15.67)	170
ineligible	1426 (1412.56)	130 (143.44)	1556
unwilling to reenlist	36 (36.31)	4 (3.69)	40
veteran	225 (245.11)	45 (24.89)	270
willing to reenlist	23 (22.7)	2 (2.3)	25
total	1871	190	2061

values in parentheses are expected values
degrees of freedom: 4
chi-square: 22.48
p < 5.0E-4
Cramer's V: 0.1

Veteran status, by exit reason

	[unknown]	ineligible	unwilling to reenlist	veteran	willing to reenlist	total
[unknown]	19 (2.14)	7 (19.63)	0 (0.5)	0 (3.41)	0 (0.32)	26
deserted	11 (24.42)	273 (223.47)	0 (5.74)	12 (38.78)	0 (3.59)	296
died (accidentally killed)	0 (0.58)	5 (5.28)	0 (0.14)	2 (0.92)	0 (0.08)	7
died (by committing suicide)	0 (0.25)	3 (2.26)	0 (0.06)	0 (0.39)	0 (0.04)	3
died (by drowning)	0 (0.25)	3 (2.26)	0 (0.06)	0 (0.39)	0 (0.04)	3
died (in Confederate prison)	1 (0.49)	4 (4.53)	0 (0.12)	1 (0.79)	0 (0.07)	6
died (killed in action)	1 (5.28)	45 (48.32)	3 (1.24)	15 (8.38)	0 (0.78)	64
died (of battle wounds)	3 (4.04)	22 (36.99)	1 (0.95)	21 (6.42)	2 (0.59)	49
died (of illness)	4 (4.29)	43 (39.26)	0 (1.01)	5 (6.81)	0 (0.63)	52
died (probably of illness)	0 (0.49)	5 (4.53)	0 (0.12)	1 (0.79)	0 (0.07)	6
disappears from records without explanation	0 (0.08)	1 (0.75)	0 (0.02)	0 (0.13)	0 (0.01)	1
enlisted but not on other records	1 (3.05)	36 (27.93)	0 (0.72)	0 (4.85)	0 (0.45)	37
rejected by Board of Medical Examiners	0 (0.08)	1 (0.75)	0 (0.02)	0 (0.13)	0 (0.01)	1
unknown	5 (0.41)	0 (3.77)	0 (0.1)	0 (0.66)	0 (0.06)	5
was absent on detached duty when the regiment mustered out	0 (0.33)	3 (3.02)	0 (0.08)	1 (0.52)	0 (0.05)	4
was absent on furlough when the regiment mustered out	0 (0.66)	6 (6.04)	0 (0.16)	2 (1.05)	0 (0.1)	8
was absent when the regiment mustered out	5 (7.01)	48 (64.17)	0 (1.65)	31 (11.14)	1 (1.03)	85
was absent without leave when the regiment mustered out	0 (0.16)	2 (1.51)	0 (0.04)	0 (0.26)	0 (0.02)	2
was cashiered	0 (0.25)	1 (2.26)	0 (0.06)	2 (0.39)	0 (0.04)	3
was discharged	2 (0.82)	5 (7.55)	0 (0.19)	3 (1.31)	0 (0.12)	10
was discharged because overage	0 (0.08)	1 (0.75)	0 (0.02)	0 (0.13)	0 (0.01)	1
was discharged because underage	1 (1.15)	13 (10.57)	0 (0.27)	0 (1.83)	0 (0.17)	14
was discharged by general order	12 (13.11)	121 (120.04)	2 (3.09)	7 (20.83)	17 (1.93)	159
was discharged by habeas corpus	0 (0.58)	7 (5.28)	0 (0.14)	0 (0.92)	0 (0.08)	7
was discharged by special order	5 (2.14)	21 (19.63)	0 (0.5)	0 (3.41)	0 (0.32)	26
was discharged on surgeon's certificate of disability	15 (28.04)	307 (256.69)	3 (6.6)	12 (44.54)	3 (4.12)	340
was discharged to be promoted	1 (0.33)	2 (3.02)	0 (0.08)	1 (0.52)	0 (0.05)	4
was discharged when his term expired	42 (5.94)	0 (54.36)	30 (1.4)	0 (9.43)	0 (0.87)	72
was dishonorably discharged by general court martial	1 (0.41)	3 (3.77)	0 (0.1)	1 (0.66)	0 (0.06)	5
was dismissed	0 (0.25)	3 (2.26)	0 (0.06)	0 (0.39)	0 (0.04)	3
was dropped from rolls	0 (0.08)	1 (0.75)	0 (0.02)	0 (0.13)	0 (0.01)	1
was missing in action	0 (0.41)	5 (3.77)	0 (0.1)	0 (0.66)	0 (0.06)	5
was mustered out	0 (0.25)	3 (2.26)	0 (0.06)	0 (0.39)	0 (0.04)	3
was mustered out with the regiment	19 (53.94)	487 (493.75)	1 (12.69)	147 (85.68)	0 (7.93)	654
was resigned	2 (0.66)	6 (6.04)	0 (0.16)	0 (1.05)	0 (0.1)	8
was transferred	10 (2.39)	15 (21.89)	0 (0.56)	2 (3.8)	2 (0.35)	29
was transferred to the Veterans' Reserve Corps	10 (5.11)	48 (46.81)	0 (1.2)	4 (8.12)	0 (0.75)	62
total	170	1556	40	270	25	2061

chi square wasn't calculated because 143 expected values were less than 5

Veteran status by birth country

	[unknown]	ineligible	unwilling to reenlist	veteran	willing to reenlist	total
Bavaria	0 (0.25)	3 (2.26)	0 (0.06)	0 (0.39)	0 (0.04)	3
Belgium	0 (0.08)	1 (0.75)	0 (0.02)	0 (0.13)	0 (0.01)	1
Canada	0 (1.9)	22 (17.36)	0 (0.45)	1 (3.01)	0 (0.28)	23
England	4 (6.02)	57 (55.11)	1 (1.42)	10 (9.56)	1 (0.89)	73
France	2 (1.32)	11 (12.08)	0 (0.31)	2 (2.1)	1 (0.19)	16
Germany	1 (6.68)	73 (61.15)	0 (1.57)	7 (10.61)	0 (0.98)	81
Ireland	20 (21.61)	190 (197.8)	7 (5.08)	42 (34.32)	3 (3.18)	262
Jamaica	0 (0.08)	0 (0.75)	1 (0.02)	0 (0.13)	0 (0.01)	1
Malta	0 (0.08)	1 (0.75)	0 (0.02)	0 (0.13)	0 (0.01)	1
Poland	0 (0.08)	1 (0.75)	0 (0.02)	0 (0.13)	0 (0.01)	1
Prussia	0 (0.49)	6 (4.53)	0 (0.12)	0 (0.79)	0 (0.07)	6
Scotland	2 (1.73)	15 (15.85)	0 (0.41)	4 (2.75)	0 (0.25)	21
Spain	0 (0.16)	2 (1.51)	0 (0.04)	0 (0.26)	0 (0.02)	2
Switzerland	0 (0.58)	7 (5.28)	0 (0.14)	0 (0.92)	0 (0.08)	7
US	84 (91.72)	785 (839.53)	30 (21.58)	194 (145.68)	19 (13.49)	1112
Wales	0 (0.25)	2 (2.26)	0 (0.06)	1 (0.39)	0 (0.04)	3
Wurtemburg	1 (0.16)	1 (1.51)	0 (0.04)	0 (0.26)	0 (0.02)	2
[unknown]	56 (36.79)	379 (336.72)	1 (8.66)	9 (58.43)	1 (5.41)	446
total	170	1556	40	270	25	2061

chi square wasn't calculated because 66 expected values were less than 5

Volunteer status, by occupation class

	[unknown]	draftee	substitute	volunteer	total
Artisans	0 (0.62)	42 (65.21)	54 (66.45)	332 (295.72)	428
Manual laborers	0 (0.61)	61 (63.38)	138 (64.59)	217 (287.43)	416
Not in labor force	0 (0.01)	0 (0.61)	0 (0.62)	4 (2.76)	4
Professionals and large proprietors	0 (0.02)	3 (2.44)	2 (2.48)	11 (11.05)	16
Semi-professionals and smaller proprietors	0 (0.55)	80 (58.05)	51 (59.16)	250 (263.24)	381
Service and semi-skilled workers	0 (0.16)	4 (16.3)	18 (16.61)	85 (73.93)	107
[unknown]	2 (0.94)	115 (98.72)	55 (100.61)	476 (447.72)	648
unknown class	1 (0.09)	9 (9.29)	2 (9.47)	49 (42.15)	61
total	3	314	320	1424	2061

chi square wasn't calculated because 13 expected values were less than 5

Volunteer status, by HISCO occupation class

	[unknown]	draftee	substitute	volunteer	total
[unknown]	2 (0.97)	118 (101.01)	58 (102.94)	485 (458.08)	663
administrative and managerial workers	0 (0.0)	0 (0.15)	0 (0.16)	1 (0.69)	1
agricultural, animal husbandry and forestry workers, fisherman, and hunters	0 (0.3)	78 (31.54)	34 (32.14)	95 (143.02)	207
clerical and related workers	0 (0.12)	0 (12.8)	8 (13.04)	76 (58.04)	84
not in work force	0 (0.01)	0 (0.61)	0 (0.62)	4 (2.76)	4
production and related workers, transport equipment operators, and laborers	0 (1.52)	110 (158.6)	213 (161.63)	718 (719.25)	1041
professional, technical, and related workers	0 (0.01)	1 (1.52)	0 (1.55)	9 (6.91)	10
sales workers	0 (0.05)	6 (5.33)	2 (5.43)	27 (24.18)	35
service workers	1 (0.02)	1 (2.44)	5 (2.48)	9 (11.05)	16
total	3	314	320	1424	2061

chi square wasn't calculated because 19 expected values were less than 5

Volunteer status, by occupation class (collapsed, excluding unknowns)

	draftee	substitute	volunteer	total
Artisans	42 (60.15)	54 (83.26)	332 (284.59)	428
Manual laborers	61 (58.46)	138 (80.92)	217 (276.62)	416
Other	3 (2.81)	2 (3.89)	15 (13.3)	20
Semi-professionals and smaller proprietors	80 (53.54)	51 (74.11)	250 (253.34)	381
Service and semi-skilled workers	4 (15.04)	18 (20.81)	85 (71.15)	107
total	190	263	899	1352

values in parentheses are expected values
degrees of freedom: 8
chi-square: 109.54
p < 5.0E-4
Cramer's V: 0.2

Veteran status, by occupation class

	[unknown]	ineligible	unwilling to reenlist	veteran	willing to reenlist	total
Artisans	33 (35.3)	291 (323.13)	14 (8.31)	85 (56.07)	5 (5.19)	428
Manual laborers	10 (34.31)	345 (314.07)	6 (8.07)	50 (54.5)	5 (5.05)	416
Not in labor force	1 (0.33)	3 (3.02)	0 (0.08)	0 (0.52)	0 (0.05)	4
Professionals and large proprietors	3 (1.32)	9 (12.08)	1 (0.31)	1 (2.1)	2 (0.19)	16
Semi-professionals and smaller proprietors	20 (31.43)	280 (287.64)	6 (7.39)	67 (49.91)	8 (4.62)	381
Service and semi-skilled workers	14 (8.83)	62 (80.78)	3 (2.08)	27 (14.02)	1 (1.3)	107
[unknown]	86 (53.45)	523 (489.22)	9 (12.58)	26 (84.89)	4 (7.86)	648
unknown class	3 (5.03)	43 (46.05)	1 (1.18)	14 (7.99)	0 (0.74)	61
total	170	1556	40	270	25	2061

chi square wasn't calculated because 14 expected values were less than 5

Veteran status, by HISCO major class

	[unknown]	ineligible	unwilling to reenlist	veteran	willing to reenlist	total
[unknown]	88 (54.69)	534 (500.55)	10 (12.87)	27 (86.86)	4 (8.04)	663
administrative and managerial workers	0 (0.08)	0 (0.75)	0 (0.02)	1 (0.13)	0 (0.01)	1
agricultural, animal husbandry and forestry workers, fisherman, and hunters	8 (17.07)	170 (156.28)	2 (4.02)	23 (27.12)	4 (2.51)	207
clerical and related workers	10 (6.93)	56 (63.42)	2 (1.63)	16 (11.0)	0 (1.02)	84
not in work force	1 (0.33)	3 (3.02)	0 (0.08)	0 (0.52)	0 (0.05)	4
production and related workers, transport equipment operators, and laborers	57 (85.87)	752 (785.93)	24 (20.2)	193 (136.38)	15 (12.63)	1041
professional, technical, and related workers	2 (0.82)	4 (7.55)	0 (0.19)	3 (1.31)	1 (0.12)	10
sales workers	3 (2.89)	26 (26.42)	0 (0.68)	6 (4.59)	0 (0.42)	35
service workers	1 (1.32)	11 (12.08)	2 (0.31)	1 (2.1)	1 (0.19)	16
total	170	1556	40	270	25	2061

chi square wasn't calculated because 26 expected values were less than 5

Deaths, by occupation class

	did not die while in regiment	died while in regiment	total
Artisans	381 (388.54)	47 (39.46)	428
Manual laborers	383 (377.65)	33 (38.35)	416
Not in labor force	3 (3.63)	1 (0.37)	4
Professionals and large proprietors	16 (14.52)	0 (1.48)	16
Semi-professionals and smaller proprietors	355 (345.88)	26 (35.12)	381
Service and semi-skilled workers	98 (97.14)	9 (9.86)	107
[unknown]	583 (588.26)	65 (59.74)	648
unknown class	52 (55.38)	9 (5.62)	61
total	1871	190	2061

values in parentheses are expected values
degrees of freedom: 7
chi-square: 10.66
p < 0.2
Cramer's V: 0.07

Reason for leaving, by occupation class

	Artisans	Manual laborers	Not in labor force	Professionals and large proprietors	Semi-professionals and smaller proprietors	Service and semi-skilled workers	[unknown]	unknown class	total
[unknown]	3 (5.4)	2 (5.25)	0 (0.05)	0 (0.2)	2 (4.81)	1 (1.35)	18 (8.17)	0 (0.77)	26
deserted	43 (61.47)	74 (59.75)	0 (0.57)	0 (2.3)	34 (54.72)	17 (15.37)	117 (93.07)	11 (8.76)	296
died (accidentally killed)	3 (1.45)	0 (1.41)	0 (0.01)	0 (0.05)	2 (1.29)	0 (0.36)	2 (2.2)	0 (0.21)	7
died (by committing suicide)	1 (0.62)	1 (0.61)	0 (0.01)	0 (0.02)	0 (0.55)	0 (0.16)	1 (0.94)	0 (0.09)	3
died (by drowning)	2 (0.62)	0 (0.61)	0 (0.01)	0 (0.02)	0 (0.55)	0 (0.16)	1 (0.94)	0 (0.09)	3
died (in Confederate prison)	1 (1.25)	2 (1.21)	0 (0.01)	0 (0.05)	1 (1.11)	0 (0.31)	1 (1.89)	1 (0.18)	6
died (killed in action)	9 (13.29)	14 (12.92)	0 (0.12)	0 (0.5)	9 (11.83)	0 (3.32)	26 (20.12)	6 (1.89)	64
died (of battle wounds)	15 (10.18)	6 (9.89)	0 (0.1)	0 (0.38)	9 (9.06)	4 (2.54)	15 (15.41)	0 (1.45)	49
died (of illness)	13 (10.8)	10 (10.5)	1 (0.1)	0 (0.4)	5 (9.61)	5 (2.7)	16 (16.35)	2 (1.54)	52
died (probably of illness)	3 (1.25)	0 (1.21)	0 (0.01)	0 (0.05)	0 (1.11)	0 (0.31)	3 (1.89)	0 (0.18)	6
disappears from records without explanation	0 (0.21)	0 (0.2)	0 (0.0)	0 (0.01)	0 (0.18)	0 (0.05)	1 (0.31)	0 (0.03)	1
enlisted but not on other records	14 (7.68)	12 (7.47)	0 (0.07)	1 (0.29)	6 (6.84)	1 (1.92)	3 (11.63)	0 (1.1)	37
rejected by Board of Medical Examiners	1 (0.21)	0 (0.2)	0 (0.0)	0 (0.01)	0 (0.18)	0 (0.05)	0 (0.31)	0 (0.03)	1
unknown	0 (1.04)	0 (1.01)	0 (0.01)	0 (0.04)	1 (0.92)	0 (0.26)	4 (1.57)	0 (0.15)	5
was absent on detached duty when the regiment mustered out	2 (0.83)	0 (0.81)	0 (0.01)	0 (0.03)	1 (0.74)	0 (0.21)	1 (1.26)	0 (0.12)	4
was absent on furlough when the regiment mustered out	2 (1.66)	3 (1.61)	0 (0.02)	0 (0.06)	1 (1.48)	0 (0.42)	1 (2.52)	1 (0.24)	8
was absent when the regiment mustered out	20 (17.65)	14 (17.16)	0 (0.16)	0 (0.66)	22 (15.71)	11 (4.41)	14 (26.72)	4 (2.52)	85
was absent without leave when the regiment mustered out	1 (0.42)	0 (0.4)	0 (0.0)	0 (0.02)	1 (0.37)	0 (0.1)	0 (0.63)	0 (0.06)	2
was cashiered	0 (0.62)	0 (0.61)	0 (0.01)	0 (0.02)	0 (0.55)	0 (0.16)	1 (0.94)	2 (0.09)	3
was discharged	2 (2.08)	2 (2.02)	0 (0.02)	0 (0.08)	3 (1.85)	0 (0.52)	3 (3.14)	0 (0.3)	10
was discharged because overage	0 (0.21)	1 (0.2)	0 (0.0)	0 (0.01)	0 (0.18)	0 (0.05)	0 (0.31)	0 (0.03)	1
was discharged because underage	1 (2.91)	2 (2.83)	0 (0.03)	0 (0.11)	2 (2.59)	0 (0.73)	9 (4.4)	0 (0.41)	14
was discharged by general order	23 (33.02)	27 (32.09)	0 (0.31)	3 (1.23)	54 (29.39)	12 (8.25)	38 (49.99)	2 (4.71)	159
was discharged by habeas corpus	1 (1.45)	0 (1.41)	0 (0.01)	0 (0.05)	2 (1.29)	0 (0.36)	4 (2.2)	0 (0.21)	7
was discharged by special order	0 (5.4)	2 (5.25)	0 (0.05)	0 (0.2)	5 (4.81)	0 (1.35)	17 (8.17)	2 (0.77)	26
was discharged on surgeon's certificate of disability	72 (70.61)	37 (68.63)	2 (0.66)	2 (2.64)	68 (62.85)	12 (17.65)	138 (106.9)	9 (10.06)	340
was discharged to be promoted	0 (0.83)	0 (0.81)	0 (0.01)	0 (0.03)	1 (0.74)	0 (0.21)	3 (1.26)	0 (0.12)	4
was discharged when his term expired	20 (14.95)	8 (14.53)	0 (0.14)	4 (0.56)	15 (13.31)	6 (3.74)	19 (22.64)	0 (2.13)	72
was dishonorably discharged by general court martial	2 (1.04)	2 (1.01)	0 (0.01)	0 (0.04)	0 (0.92)	0 (0.26)	1 (1.57)	0 (0.15)	5
was dismissed	0 (0.62)	0 (0.61)	0 (0.01)	0 (0.02)	0 (0.55)	0 (0.16)	3 (0.94)	0 (0.09)	3
was dropped from rolls	0 (0.21)	0 (0.2)	0 (0.0)	0 (0.01)	0 (0.18)	0 (0.05)	1 (0.31)	0 (0.03)	1
was missing in action	1 (1.04)	0 (1.01)	0 (0.01)	0 (0.04)	2 (0.92)	0 (0.26)	2 (1.57)	0 (0.15)	5
was mustered out	1 (0.62)	1 (0.61)	0 (0.01)	0 (0.02)	1 (0.55)	0 (0.16)	0 (0.94)	0 (0.09)	3
was mustered out with the regiment	147 (135.81)	182 (132.01)	1 (1.27)	5 (5.08)	121 (120.9)	32 (33.95)	148 (205.62)	18 (19.36)	654
was resigned	2 (1.66)	0 (1.61)	0 (0.02)	0 (0.06)	0 (1.48)	0 (0.42)	6 (2.52)	0 (0.24)	8
was transferred	2 (6.02)	4 (5.85)	0 (0.06)	1 (0.23)	4 (5.36)	0 (1.51)	17 (9.12)	1 (0.86)	29
was transferred to the Veterans' Reserve Corps	21 (12.88)	10 (12.51)	0 (0.12)	0 (0.48)	9 (11.46)	6 (3.22)	14 (19.49)	2 (1.84)	62
total	428	416	4	16	381	107	648	61	2061

chi square wasn't calculated because 234 expected values were less than 5

Death year

1861	2	0.2%
1862	44	3.6%
1863	47	3.8%
1864	97	7.9%
1865	37	3.0%
1866	9	0.7%
1867	10	0.8%
1868	6	0.5%
1869	9	0.7%
1870	8	0.6%
1871	8	0.6%
1872	7	0.6%
1873	7	0.6%
1874	7	0.6%
1875	9	0.7%
1876	5	0.4%
1877	5	0.4%
1878	13	1.1%
1879	5	0.4%
1880	12	1.0%
1881	14	1.1%
1882	8	0.6%
1883	15	1.2%
1884	10	0.8%
1885	12	1.0%
1886	9	0.7%
1887	11	0.9%
1888	14	1.1%
1889	17	1.4%
1890	10	0.8%
1891	26	2.1%
1892	24	1.9%
1893	14	1.1%
1894	13	1.1%
1895	14	1.1%
1896	18	1.5%
1897	22	1.8%
1898	19	1.5%
1899	22	1.8%
1900	24	1.9%
1901	18	1.5%
1902	17	1.4%
1903	22	1.8%
1904	21	1.7%
1905	20	1.6%
1906	19	1.5%
1907	31	2.5%
1908	28	2.3%
1909	24	1.9%
1910	27	2.2%
1911	21	1.7%
1912	17	1.4%
1913	22	1.8%
1914	29	2.4%
1915	16	1.3%
1916	31	2.5%
1917	20	1.6%
1918	18	1.5%
1919	19	1.5%
1920	20	1.6%
1921	23	1.9%
1922	14	1.1%
1923	15	1.2%
1924	7	0.6%
1925	10	0.8%
1926	9	0.7%
1927	8	0.6%
1928	15	1.2%
1929	7	0.6%
1930	2	0.2%
1931	4	0.3%
1932	1	0.1%
1933	2	0.2%
1934	4	0.3%
1935	4	0.3%
1936	1	0.1%
1937	1	0.1%
1938	1	0.1%
1939	1	0.1%
1940	1	0.1%
[unknown]	828	%

Death decade

1860	264	20.6%
1870	81	6.3%
1880	135	10.5%
1890	199	15.5%
1900	228	17.8%
1910	222	17.3%
1920	130	10.1%
1930	21	1.6%
1940	1	0.1%
[unknown]	780	%

Death decade, by age at death (in decades)

	1	2	3	4	5	6	7	8	9	[unknown]	total
1860	25 (3.2)	114 (15.37)	61 (13.07)	51 (17.29)	8 (18.06)	0 (28.69)	0 (36.63)	0 (21.52)	0 (2.31)	5 (107.85)	264
1870	0 (0.98)	6 (4.72)	28 (4.01)	24 (5.31)	12 (5.54)	3 (8.8)	0 (11.24)	0 (6.6)	0 (0.71)	8 (33.09)	81
1880	0 (1.64)	0 (7.86)	13 (6.68)	42 (8.84)	38 (9.24)	21 (14.67)	5 (18.73)	0 (11.0)	0 (1.18)	16 (55.15)	135
1890	0 (2.41)	0 (11.59)	0 (9.85)	18 (13.03)	61 (13.61)	59 (21.63)	40 (27.61)	1 (16.22)	0 (1.74)	20 (81.3)	199
1900	0 (2.77)	0 (13.28)	0 (11.28)	0 (14.93)	22 (15.6)	98 (24.78)	69 (31.64)	31 (18.59)	0 (1.99)	8 (93.15)	228
1910	0 (2.69)	0 (12.93)	0 (10.99)	0 (14.54)	0 (15.19)	43 (24.13)	124 (30.81)	49 (18.1)	3 (1.94)	3 (90.7)	222
1920	0 (1.58)	0 (7.57)	0 (6.43)	0 (8.52)	0 (8.89)	0 (14.13)	48 (18.04)	75 (10.6)	5 (1.14)	2 (53.11)	130
1930	0 (0.25)	0 (1.22)	0 (1.04)	0 (1.38)	0 (1.44)	0 (2.28)	0 (2.91)	12 (1.71)	9 (0.18)	0 (8.58)	21
1940	0 (0.01)	0 (0.06)	0 (0.05)	0 (0.07)	0 (0.07)	0 (0.11)	0 (0.14)	0 (0.08)	1 (0.01)	0 (0.41)	1
[unknown]	0 (9.46)	0 (45.41)	0 (38.6)	0 (51.09)	0 (53.36)	0 (84.77)	0 (108.24)	0 (63.58)	0 (6.81)	780 (318.66)	780
total	25	120	102	135	141	224	286	168	18	842	2061

chi square wasn't calculated because 35 expected values were less than 5

State of death

Arkansas	2	0.2%
California	13	1.3%
Colorado	2	0.2%
Connecticut	2	0.2%
Delaware	2	0.2%
Georgia	6	0.6%
Illinois	7	0.7%
Indiana	3	0.3%
Iowa	3	0.3%
Kansas	5	0.5%
Magherball [?]	1	0.1%
Maine	6	0.6%
Maryland	10	1.0%
Massachusetts	5	0.5%
Michigan	4	0.4%
Minnesota	2	0.2%
Missouri	8	0.8%
Montana	1	0.1%
Nebraska	6	0.6%
New Jersey	27	2.8%
New Mexico	1	0.1%
New York	14	1.5%
North Carolina	1	0.1%
Ohio	34	3.5%
Oklahoma	3	0.3%
Pennsylvania	606	62.8%
Tennessee	1	0.1%
Texas	1	0.1%
Virginia	144	14.9%
Washington	3	0.3%
Washington, District of Columbia	35	3.6%
West Virginia	3	0.3%
Wisconsin	3	0.3%
Wyoming	1	0.1%
[unknown]	1096	%

Pension index by name search status, by pension index by regiment search status

	[unknown] in regiment index	found in regiment index	not found in regiment index	total
[unknown] in name index	20 (3.15)	57 (194.59)	248 (127.26)	325
found in name index	0 (11.29)	1162 (696.33)	1 (455.38)	1163
not found in name index	0 (5.56)	15 (343.08)	558 (224.36)	573
total	20	1234	807	2061

values in parentheses are expected values
degrees of freedom: 4
chi-square: 1893.51
p < 5.0E-4
Cramer's V: 0.68

Applied for pension

did not apply for pension	806	39.5%
applied for pension	1235	60.5%
[unknown]	20	%

Received pension

did not receive pension	924	45.3%
received pension	1117	54.7%
[unknown]	20	%

Year of first pension application (sorted by number of men)

no pension application	826	40.1%
1890	202	9.8%
1865	96	4.7%
1891	87	4.2%
1864	76	3.7%
1863	55	2.7%
1880	54	2.6%
1888	49	2.4%
1892	49	2.4%
1889	47	2.3%
1879	44	2.1%
1881	28	1.4%
1869	26	1.3%
1883	25	1.2%
1882	24	1.2%
1886	23	1.1%
1884	20	1.0%
1870	20	1.0%
1871	19	0.9%
1866	18	0.9%
1868	17	0.8%
1875	16	0.8%
1874	15	0.7%
1887	14	0.7%
1895	14	0.7%
1862	14	0.7%
1876	12	0.6%
1867	11	0.5%
1873	11	0.5%
1878	11	0.5%
1877	10	0.5%
1902	10	0.5%
1904	9	0.4%
1893	9	0.4%
1897	8	0.4%
1885	8	0.4%
1872	8	0.4%
1899	7	0.3%
1896	7	0.3%
1898	6	0.3%
1894	6	0.3%
1907	6	0.3%
1903	5	0.2%
1900	5	0.2%
1908	5	0.2%
1905	4	0.2%
1901	4	0.2%
1906	4	0.2%
1911	4	0.2%
1909	3	0.1%
1910	2	0.1%
1931	1	0.0%
1913	1	0.0%
1923	1	0.0%
1926	1	0.0%
1920	1	0.0%
1912	1	0.0%
1916	1	0.0%
1921	1	0.0%

Year of first pension application (sorted by year)

1862	14	0.7%
1863	55	2.7%
1864	76	3.7%
1865	96	4.7%
1866	18	0.9%
1867	11	0.5%
1868	17	0.8%
1869	26	1.3%
1870	20	1.0%
1871	19	0.9%
1872	8	0.4%
1873	11	0.5%
1874	15	0.7%
1875	16	0.8%
1876	12	0.6%
1877	10	0.5%
1878	11	0.5%
1879	44	2.1%
1880	54	2.6%
1881	28	1.4%
1882	24	1.2%
1883	25	1.2%
1884	20	1.0%
1885	8	0.4%
1886	23	1.1%
1887	14	0.7%
1888	49	2.4%
1889	47	2.3%
1890	202	9.8%
1891	87	4.2%
1892	49	2.4%
1893	9	0.4%
1894	6	0.3%
1895	14	0.7%
1896	7	0.3%
1897	8	0.4%
1898	6	0.3%
1899	7	0.3%
1900	5	0.2%
1901	4	0.2%
1902	10	0.5%
1903	5	0.2%
1904	9	0.4%
1905	4	0.2%
1906	4	0.2%
1907	6	0.3%
1908	5	0.2%
1909	3	0.1%
1910	2	0.1%
1911	4	0.2%
1912	1	0.0%
1913	1	0.0%
1916	1	0.0%
1920	1	0.0%
1921	1	0.0%
1923	1	0.0%
1926	1	0.0%
1931	1	0.0%
no pension application	826	40.1%

Year of first pension application (limited to cases with a successful pension application, sorted by number of men)

1890	191	17.1%
1865	94	8.4%
1891	76	6.8%
1864	67	6.0%
1863	49	4.4%
1880	48	4.3%
1888	45	4.0%
1879	43	3.8%
1889	42	3.8%
1892	42	3.8%
1881	25	2.2%
1869	24	2.1%
1886	22	2.0%
1883	22	2.0%
1882	20	1.8%
1884	19	1.7%
1866	18	1.6%
1870	18	1.6%
1871	16	1.4%
1868	15	1.3%
1887	14	1.3%
1895	13	1.2%
1875	13	1.2%
1874	12	1.1%
1876	12	1.1%
1862	12	1.1%
1877	10	0.9%
1867	9	0.8%
1873	9	0.8%
1902	9	0.8%
1878	9	0.8%
1904	8	0.7%
1885	8	0.7%
1872	8	0.7%
1897	7	0.6%
1893	7	0.6%
1896	7	0.6%
1899	6	0.5%
1898	6	0.5%
1907	6	0.5%
1894	5	0.4%
1905	4	0.4%
1900	4	0.4%
1903	4	0.4%
1908	3	0.3%
1911	3	0.3%
1901	3	0.3%
1909	3	0.3%
1906	2	0.2%
1913	1	0.1%
1926	1	0.1%
1916	1	0.1%
1910	1	0.1%
1921	1	0.1%

Year of first pension application (limited to cases with a successful pension application, sorted by year)

1862	12	1.1%
1863	49	4.4%
1864	67	6.0%
1865	94	8.4%
1866	18	1.6%
1867	9	0.8%
1868	15	1.3%
1869	24	2.1%
1870	18	1.6%
1871	16	1.4%
1872	8	0.7%
1873	9	0.8%
1874	12	1.1%
1875	13	1.2%
1876	12	1.1%
1877	10	0.9%
1878	9	0.8%
1879	43	3.8%
1880	48	4.3%
1881	25	2.2%
1882	20	1.8%
1883	22	2.0%
1884	19	1.7%
1885	8	0.7%
1886	22	2.0%
1887	14	1.3%
1888	45	4.0%
1889	42	3.8%
1890	191	17.1%
1891	76	6.8%
1892	42	3.8%
1893	7	0.6%
1894	5	0.4%
1895	13	1.2%
1896	7	0.6%
1897	7	0.6%
1898	6	0.5%
1899	6	0.5%
1900	4	0.4%
1901	3	0.3%
1902	9	0.8%
1903	4	0.4%
1904	8	0.7%
1905	4	0.4%
1906	2	0.2%
1907	6	0.5%
1908	3	0.3%
1909	3	0.3%
1910	1	0.1%
1911	3	0.3%
1913	1	0.1%
1916	1	0.1%
1921	1	0.1%
1926	1	0.1%

Applied for pension, by occupation class

	[unknown]	applied for pension	did not apply for pension	total
Artisans	4 (4.15)	271 (256.47)	153 (167.38)	428
Manual laborers	3 (4.04)	232 (249.28)	181 (162.69)	416
Not in labor force	0 (0.04)	2 (2.4)	2 (1.56)	4
Professionals and large proprietors	0 (0.16)	12 (9.59)	4 (6.26)	16
Semi-professionals and smaller proprietors	1 (3.7)	271 (228.3)	109 (149.0)	381
Service and semi-skilled workers	0 (1.04)	64 (64.12)	43 (41.84)	107
[unknown]	12 (6.29)	347 (388.3)	289 (253.41)	648
unknown class	0 (0.59)	36 (36.55)	25 (23.86)	61
total	20	1235	806	2061

chi square wasn't calculated because 9 expected values were less than 5

Applied for pension, by occupation class (collapsed, excluding unknowns)

	applied for pension	did not apply for pension	total
Artisans	271 (268.79)	153 (155.21)	424
Manual laborers	232 (261.81)	181 (151.19)	413
Other	14 (12.68)	6 (7.32)	20
Semi-professionals and smaller proprietors	271 (240.89)	109 (139.11)	380
Service and semi-skilled workers	64 (67.83)	43 (39.17)	107
total	852	492	1344

values in parentheses are expected values
degrees of freedom: 4
chi-square: 20.57
p < 5.0E-4
Cramer's V: 0.12

Applied for pension, by occupation class in 1860 (limited to men whom I have found in the 1860 census)

	applied for pension	did not apply for pension	total
Artisans	132 (137.8)	31 (25.2)	163
Manual laborers	122 (114.98)	14 (21.02)	136
Not in labor force	1 (0.85)	0 (0.15)	1
Professionals and large proprietors	12 (15.22)	6 (2.78)	18
Semi-professionals and smaller proprietors	83 (79.47)	11 (14.53)	94
Service and semi-skilled workers	28 (27.05)	4 (4.95)	32
[unknown]	133 (135.27)	27 (24.73)	160
unknown class	14 (14.37)	3 (2.63)	17
total	525	96	621

chi square wasn't calculated because 5 expected values were less than 5

Received pension, by occupation class

	[unknown]	did not receive pension	received pension	total
Artisans	4 (4.15)	183 (191.88)	241 (231.96)	428
Manual laborers	3 (4.04)	200 (186.5)	213 (225.46)	416
Not in labor force	0 (0.04)	2 (1.79)	2 (2.17)	4
Professionals and large proprietors	0 (0.16)	4 (7.17)	12 (8.67)	16
Semi-professionals and smaller proprietors	1 (3.7)	131 (170.81)	249 (206.49)	381
Service and semi-skilled workers	0 (1.04)	50 (47.97)	57 (57.99)	107
[unknown]	12 (6.29)	323 (290.52)	313 (351.2)	648
unknown class	0 (0.59)	31 (27.35)	30 (33.06)	61
total	20	924	1117	2061

chi square wasn't calculated because 9 expected values were less than 5

Received pension, by occupation class (collapsed, excluding unknowns)

	did not receive pension	received pension	total
Artisans	183 (179.82)	241 (244.18)	424
Manual laborers	200 (175.16)	213 (237.84)	413
Other	6 (8.48)	14 (11.52)	20
Semi-professionals and smaller proprietors	131 (161.16)	249 (218.84)	380
Service and semi-skilled workers	50 (45.38)	57 (61.62)	107
total	570	774	1344

values in parentheses are expected values
degrees of freedom: 4
chi-square: 18.09
p < 0.0025
Cramer's V: 0.12

Applied for pension, by volunteer status

	[unknown]	applied for pension	did not apply for pension	total
[unknown]	0 (0.03)	0 (1.8)	3 (1.17)	3
draftee	0 (3.05)	272 (188.16)	42 (122.8)	314
substitute	1 (3.11)	161 (191.75)	158 (125.14)	320
volunteer	19 (13.82)	802 (853.29)	603 (556.89)	1424
total	20	1235	806	2061

chi square wasn't calculated because 5 expected values were less than 5

Applied for pension, by volunteer status (excluding unknowns)

	draftee	substitute	volunteer	total
[unknown]	0 (3.05)	1 (3.11)	19 (13.84)	20
applied for pension	272 (188.43)	161 (192.03)	802 (854.54)	1235
did not apply for pension	42 (122.52)	158 (124.86)	603 (555.62)	803
total	314	320	1424	2058

chi square wasn't calculated because 2 expected values were less than 5

Applied for pension, by volunteer status (excluding people who ended as deserters)

	[unknown]	applied for pension	did not apply for pension	total
[unknown]	0 (0.03)	0 (2.06)	3 (0.91)	3
draftee	0 (2.94)	267 (209.61)	38 (92.45)	305
substitute	1 (2.62)	160 (186.93)	111 (82.45)	272
volunteer	16 (11.41)	786 (814.39)	383 (359.19)	1185
total	17	1213	535	1765

chi square wasn't calculated because 5 expected values were less than 5

Applied for pension, by volunteer status (limited to people who ended as deserters)

	draftee	substitute	volunteer	total
[unknown]	0 (0.09)	0 (0.49)	3 (2.42)	3
applied for pension	5 (0.67)	1 (3.57)	16 (17.76)	22
did not apply for pension	4 (8.24)	47 (43.95)	220 (218.81)	271
total	9	48	239	296

chi square wasn't calculated because 5 expected values were less than 5

Applied for pension, by volunteer status (excluding unknowns and people who ended as deserters, and limited to people known to be alive in 1890)

	applied for pension	did not apply for pension	total
draftee	212 (206.08)	2 (7.92)	214
substitute	128 (128.08)	5 (4.92)	133
volunteer	441 (446.84)	23 (17.16)	464
total	781	30	811

values in parentheses are expected values
degrees of freedom: 2
chi-square: 6.66
p < 0.05
Cramer's V: 0.09

Applied for pension, by volunteer status (excluding unknowns and people who ended as deserters, and limited to people known to be alive in 1900)

	applied for pension	did not apply for pension	total
draftee	168 (165.88)	1 (3.12)	169
substitute	102 (102.08)	2 (1.92)	104
volunteer	314 (316.05)	8 (5.95)	322
total	584	11	595

chi square wasn't calculated because 2 expected values were less than 5

Applied for pension, by volunteer status (excluding unknowns and people who ended as deserters, and limited to people known to be alive in 1910)

	applied for pension	did not apply for pension	total
draftee	97 (96.93)	1 (1.07)	98
substitute	81 (81.1)	1 (0.9)	82
volunteer	184 (183.97)	2 (2.03)	186
total	362	4	366

chi square wasn't calculated because 3 expected values were less than 5

Applied for pension, by whether they served at least 90 days

	[unknown]	at least 90 days	less than 90 days	total
[unknown]	1 (0.83)	3 (16.55)	16 (2.62)	20
applied for pension	27 (51.53)	1170 (1021.68)	38 (161.79)	1235
did not apply for pension	58 (33.63)	532 (666.78)	216 (105.59)	806
total	86	1705	270	2061

chi square wasn't calculated because 2 expected values were less than 5

Applied for pension, by volunteer status (excluding people who ended as deserters. and limited to people who served 90 days)

	[unknown]	applied for pension	did not apply for pension	total
[unknown]	0 (0.0)	0 (0.72)	1 (0.28)	1
draftee	0 (0.36)	250 (205.23)	34 (78.41)	284
substitute	0 (0.31)	148 (179.22)	100 (68.47)	248
volunteer	2 (1.33)	751 (763.83)	304 (291.84)	1057
total	2	1149	439	1590

chi square wasn't calculated because 6 expected values were less than 5

Received pension, by volunteer status

	[unknown]	did not receive pension	received pension	total
[unknown]	0 (0.03)	3 (1.34)	0 (1.63)	3
draftee	0 (3.05)	55 (140.77)	259 (170.18)	314
substitute	1 (3.11)	176 (143.46)	143 (173.43)	320
volunteer	19 (13.82)	690 (638.42)	715 (771.77)	1424
total	20	924	1117	2061

chi square wasn't calculated because 5 expected values were less than 5

Received pension, by volunteer status (excluding unknowns)

	draftee	substitute	volunteer	total
[unknown]	0 (3.05)	1 (3.11)	19 (13.84)	20
did not receive pension	55 (140.52)	176 (143.21)	690 (637.27)	921
received pension	259 (170.43)	143 (173.68)	715 (772.89)	1117
total	314	320	1424	2058

chi square wasn't calculated because 2 expected values were less than 5

Received pension, by volunteer status (excluding unknowns and people who ended as deserters)

	draftee	substitute	volunteer	total
[unknown]	0 (2.94)	1 (2.62)	16 (11.43)	17
did not receive pension	47 (109.74)	128 (97.87)	459 (426.38)	634
received pension	258 (192.31)	143 (171.51)	710 (747.18)	1111
total	305	272	1185	1762

chi square wasn't calculated because 2 expected values were less than 5

Received pension, by volunteer status (excluding unknowns and limited to people who ended as deserters)

	draftee	substitute	volunteer	total
[unknown]	0 (0.09)	0 (0.49)	3 (2.42)	3
did not receive pension	8 (8.73)	48 (46.54)	231 (231.73)	287
received pension	1 (0.18)	0 (0.97)	5 (4.84)	6
total	9	48	239	296

chi square wasn't calculated because 6 expected values were less than 5

Applied for pension, by whether started as commissioned officer

	did not start as commissioned officer	started as commissioned officer	total
[unknown]	20 (19.7)	0 (0.3)	20
applied for pension	1211 (1216.42)	24 (18.58)	1235
did not apply for pension	799 (793.88)	7 (12.12)	806
total	2030	31	2061

values in parentheses are expected values
degrees of freedom: 2
chi-square: 4.11
p < 0.15
Cramer's V: 0.04

Received pension, by whether started as commissioned officer

	did not start as commissioned officer	started as commissioned officer	total
[unknown]	20 (19.7)	0 (0.3)	20
did not receive pension	915 (910.1)	9 (13.9)	924
received pension	1095 (1100.2)	22 (16.8)	1117
total	2030	31	2061

values in parentheses are expected values
degrees of freedom: 2
chi-square: 3.69
p < 0.2
Cramer's V: 0.04

Applied for pension, by whether ended as commissioned officer

	did not end as commissioned officer	ended as commissioned officer	total
[unknown]	20 (19.23)	0 (0.77)	20
applied for pension	1172 (1187.66)	63 (47.34)	1235
did not apply for pension	790 (775.11)	16 (30.89)	806
total	1982	79	2061

values in parentheses are expected values
degrees of freedom: 2
chi-square: 13.65
p < 0.0025
Cramer's V: 0.08

Received pension, by whether ended as commissioned officer

	did not end as commissioned officer	ended as commissioned officer	total
[unknown]	20 (19.23)	0 (0.77)	20
did not receive pension	903 (888.58)	21 (35.42)	924
received pension	1059 (1074.18)	58 (42.82)	1117
total	1982	79	2061

values in parentheses are expected values
degrees of freedom: 2
chi-square: 12.5
p < 0.0025
Cramer's V: 0.08

Applied for pension, by veteran status

	[unknown]	applied for pension	did not apply for pension	total
[unknown]	8 (1.65)	98 (101.87)	64 (66.48)	170
ineligible	12 (15.1)	885 (932.39)	659 (608.51)	1556
unwilling to reenlist	0 (0.39)	29 (23.97)	11 (15.64)	40
veteran	0 (2.62)	204 (161.79)	66 (105.59)	270
willing to reenlist	0 (0.24)	19 (14.98)	6 (9.78)	25
total	20	1235	806	2061

chi square wasn't calculated because 4 expected values were less than 5

Applied for pension, by veteran status (collapsed, excluding unknowns)

	applied for pension	did not apply for pension	total
ineligible	885 (934.29)	659 (609.71)	1544
unwilling to reenlist	29 (24.2)	11 (15.8)	40
veteran or willing to reenlist	223 (178.51)	72 (116.49)	295
total	1137	742	1879

values in parentheses are expected values
degrees of freedom: 2
chi-square: 37.08
p < 5.0E-4
Cramer's V: 0.14

Received pension, by veteran status

	[unknown]	did not receive pension	received pension	total
[unknown]	8 (1.65)	80 (76.22)	82 (92.13)	170
ineligible	12 (15.1)	742 (697.6)	802 (843.31)	1556
unwilling to reenlist	0 (0.39)	11 (17.93)	29 (21.68)	40
veteran	0 (2.62)	84 (121.05)	186 (146.33)	270
willing to reenlist	0 (0.24)	7 (11.21)	18 (13.55)	25
total	20	924	1117	2061

chi square wasn't calculated because 4 expected values were less than 5

Received pension, by veteran status (collapsed, excluding unknowns)

	did not receive pension	received pension	total
ineligible	742 (693.53)	802 (850.47)	1544
unwilling to reenlist	11 (17.97)	29 (22.03)	40
veteran or willing to reenlist	91 (132.51)	204 (162.49)	295
total	844	1035	1879

values in parentheses are expected values
degrees of freedom: 2
chi-square: 34.67
p < 5.0E-4
Cramer's V: 0.14

Applied for pension, by attendance at 1884 meeting

	attended	did not attend	total
[unknown]	0 (0.32)	20 (19.68)	20
applied for pension	30 (19.77)	1205 (1215.23)	1235
did not apply for pension	3 (12.91)	803 (793.09)	806
total	33	2028	2061

values in parentheses are expected values
degrees of freedom: 2
chi-square: 13.44
p < 0.0025
Cramer's V: 0.08

Received pension, by attendance at 1884 meeting

	attended	did not attend	total
[unknown]	0 (0.32)	20 (19.68)	20
did not receive pension	4 (14.79)	920 (909.21)	924
received pension	29 (17.89)	1088 (1099.11)	1117
total	33	2028	2061

values in parentheses are expected values
degrees of freedom: 2
chi-square: 15.34
p < 5.0E-4
Cramer's V: 0.09

Number of pension applications based on the soldier's service

0	826	40.1%
3	140	6.8%
2	577	28.0%
1	516	25.0%
5	1	0.0%
4	1	0.0%

Applied for pension, by whether they died while in the regiment

	did not die while in regiment	died while in regiment	total
[unknown]	20 (18.16)	0 (1.84)	20
applied for pension	1106 (1121.15)	129 (113.85)	1235
did not apply for pension	745 (731.7)	61 (74.3)	806
total	1871	190	2061

values in parentheses are expected values
degrees of freedom: 2
chi-square: 6.87
p < 0.05
Cramer's V: 0.06

Applied for pension, by whether they died while in the regiment, excluding unknowns

	did not die while in regiment	died while in regiment	total
applied for pension	1106 (1120.03)	129 (114.97)	1235
did not apply for pension	745 (730.97)	61 (75.03)	806
total	1851	190	2041

values in parentheses are expected values
degrees of freedom: 1
chi-square: 4.78
p < 0.05
Cramer's V: 0.05

Received pension, by whether they died while in the regiment

	did not die while in regiment	died while in regiment	total
[unknown]	20 (18.16)	0 (1.84)	20
did not receive pension	855 (838.82)	69 (85.18)	924
received pension	996 (1014.03)	121 (102.97)	1117
total	1871	190	2061

values in parentheses are expected values
degrees of freedom: 2
chi-square: 8.89
p < 0.02
Cramer's V: 0.07

Received pension, by whether they died while in the regiment, excluding unknowns

	did not die while in regiment	died while in regiment	total
did not receive pension	855 (837.98)	69 (86.02)	924
received pension	996 (1013.02)	121 (103.98)	1117
total	1851	190	2041

values in parentheses are expected values
degrees of freedom: 1
chi-square: 6.79
p < 0.01
Cramer's V: 0.06

Who applied for a pension

	soldier	widow	mother	father	sister	brother	minor dependent	contesting widow
[unknown]	20	20	20	20	20	20	20	20
applied for pension	953 (46.7%)	669 (32.8%)	58 (2.8%)	14 (0.7%)	3 (0.1%)	2 (0.1%)	71 (3.5%)	5 (0.2%)
did not apply for pension	1088 (53.3%)	1372 (67.2%)	1983 (97.2%)	2027 (99.3%)	2038 (99.9%)	2039 (99.9%)	1970 (96.5%)	2036 (99.8%)

Who received a pension

	soldier	widow	mother	father	sister	brother	minor dependent	contesting widow
[unknown]	20	20	20	20	20	20	20	20
did not apply for pension	1088 (53.3%)	1372 (67.2%)	1983 (97.2%)	2027 (99.3%)	2038 (99.9%)	2039 (99.9%)	1970 (96.5%)	2036 (99.8%)
did not receive pension	98 (4.8%)	80 (3.9%)	7 (0.3%)	3 (0.1%)	2 (0.1%)	1 (0.0%)	20 (1.0%)	5 (0.2%)
received pension	855 (41.9%)	589 (28.9%)	51 (2.5%)	11 (0.5%)	1 (0.0%)	1 (0.0%)	51 (2.5%)

Applied for pension, by enlistment age group

	[unknown]	applied for pension	did not apply for pension	total
0-19	2 (4.04)	281 (249.28)	133 (162.69)	416
20-29	10 (8.8)	526 (543.5)	371 (354.7)	907
30-39	2 (4.37)	273 (269.65)	175 (175.98)	450
40-	3 (2.53)	144 (156.4)	114 (102.07)	261
[unknown]	3 (0.26)	11 (16.18)	13 (10.56)	27
total	20	1235	806	2061

chi square wasn't calculated because 4 expected values were less than 5

Received for pension, by enlistment age group

	[unknown]	did not receive pension	received pension	total
0-19	2 (4.04)	162 (186.5)	252 (225.46)	416
20-29	10 (8.8)	408 (406.63)	489 (491.57)	907
30-39	2 (4.37)	200 (201.75)	248 (243.89)	450
40-	3 (2.53)	141 (117.01)	117 (141.45)	261
[unknown]	3 (0.26)	13 (12.1)	11 (14.63)	27
total	20	924	1117	2061

chi square wasn't calculated because 4 expected values were less than 5

Soldier applied for pension, by enlistment age group

	[unknown]	applied for pension	did not apply for pension	total
0-19	2 (4.04)	234 (192.36)	180 (219.61)	416
20-29	10 (8.8)	413 (419.39)	484 (478.8)	907
30-39	2 (4.37)	199 (208.08)	249 (237.55)	450
40-	3 (2.53)	97 (120.69)	161 (137.78)	261
[unknown]	3 (0.26)	10 (12.48)	14 (14.25)	27
total	20	953	1088	2061

chi square wasn't calculated because 4 expected values were less than 5

Soldier received pension, by enlistment age group

	[unknown]	did not apply for pension	did not receive pension	received pension	total
0-19	2 (4.04)	180 (219.61)	23 (19.78)	211 (172.58)	416
20-29	10 (8.8)	484 (478.8)	30 (43.13)	383 (376.27)	907
30-39	2 (4.37)	249 (237.55)	21 (21.4)	178 (186.68)	450
40-	3 (2.53)	161 (137.78)	21 (12.41)	76 (108.28)	261
[unknown]	3 (0.26)	14 (14.25)	3 (1.28)	7 (11.2)	27
total	20	1088	98	855	2061

chi square wasn't calculated because 5 expected values were less than 5

Pension applications, by length of service

	[unknown]	applied for pension	did not apply for pension	total
A: 0-9 days	14 (1.2)	1 (74.3)	109 (48.49)	124
B: 10-399 days	4 (8.92)	529 (550.69)	386 (359.4)	919
C: 400-799 days	1 (4.6)	342 (284.03)	131 (185.37)	474
D: 800-1199 days	0 (2.2)	170 (136.02)	57 (88.77)	227
E: 1200 or more days	0 (2.24)	166 (138.42)	65 (90.34)	231
[unknown]	1 (0.83)	27 (51.53)	58 (33.63)	86
total	20	1235	806	2061

chi square wasn't calculated because 5 expected values were less than 5

Soldiers' pension applications, by length of service

	[unknown]	applied for pension	did not apply for pension	total
A: 0-9 days	14 (1.2)	0 (57.34)	110 (65.46)	124
B: 10-399 days	4 (8.92)	416 (424.94)	499 (485.14)	919
C: 400-799 days	1 (4.6)	260 (219.18)	213 (250.22)	474
D: 800-1199 days	0 (2.2)	112 (104.96)	115 (119.83)	227
E: 1200 or more days	0 (2.24)	141 (106.81)	90 (121.94)	231
[unknown]	1 (0.83)	24 (39.77)	61 (45.4)	86
total	20	953	1088	2061

chi square wasn't calculated because 5 expected values were less than 5

Soldiers' pension applications, by length of service (excluding people who ended as deserters. and limited to people who served 90 days)

	[unknown]	applied for pension	did not apply for pension	total
B: 10-399 days	1 (0.87)	391 (391.21)	303 (302.92)	695
C: 400-799 days	1 (0.57)	257 (255.55)	196 (197.88)	454
D: 800-1199 days	0 (0.27)	108 (119.9)	105 (92.84)	213
E: 1200 or more days	0 (0.29)	139 (128.34)	89 (99.37)	228
total	2	895	693	1590

chi square wasn't calculated because 4 expected values were less than 5

Found 1850 census entry

can't identify	48	2.3%
found	501	24.3%
not checked	1361	66.0%
not found	151	7.3%

Person found in 1850 census

soldier

501

100.0%

State living in, in 1850 census

Delaware	2	0.4%
Maine	1	0.2%
Maryland	7	1.4%
Massachusetts	3	0.6%
New Jersey	14	2.8%
New York	4	0.8%
Ohio	5	1.0%
Pennsylvania	461	92.0%
Vermont	1	0.2%
Virginia	2	0.4%
Washington, District of Columbia	1	0.2%

Pennsylvania county living in, in 1850 census

Adams	36	7.2%
Allegheny	3	0.6%
Armstrong	5	1.0%
Bedford	35	7.0%
Berks	6	1.2%
Blair	5	1.0%
Bradford	2	0.4%
Bucks	4	0.8%
Butler	2	0.4%
Cambria	4	0.8%
Centre	1	0.2%
Chester	4	0.8%
Clarion	2	0.4%
Cumberland	3	0.6%
Dauphin	3	0.6%
Delaware	6	1.2%
Fayette	3	0.6%
Franklin	3	0.6%
Fulton	1	0.2%
Greene	2	0.4%
Huntingdon	14	2.8%
Indiana	1	0.2%
Jefferson	1	0.2%
Juniata	2	0.4%
Lancaster	4	0.8%
Lebanon	2	0.4%
Lehigh	1	0.2%
Luzerne	1	0.2%
Lycoming	1	0.2%
Mifflin	2	0.4%
Monroe	2	0.4%
Montgomery	18	3.6%
Montour	1	0.2%
Northampton	1	0.2%
Northumberland	9	1.8%
Perry	2	0.4%
Philadelphia	240	47.9%
Schuylkill	1	0.2%
Somerset	10	2.0%
Tioga	3	0.6%
Union	3	0.6%
Venango	1	0.2%
Wayne	4	0.8%
Westmoreland	4	0.8%
Wyoming	1	0.2%
York	2	0.4%
not Pennsylvania	40	8.0%

Occupation in 1850

Clergyman Meth	1	0.2%
[blank; probably none]	319	63.7%
basketmaker	1	0.2%
blacksmith	2	0.4%
bonnet presser	1	0.2%
brass founder	1	0.2%
bricklayer	3	0.6%
brickmaker	3	0.6%
brush maker	1	0.2%
cabinet maker	1	0.2%
carpenter	9	1.8%
carpet weaver	1	0.2%
clerk	5	1.0%
coachmaker	2	0.4%
collier	1	0.2%
copper p printer	1	0.2%
cordwainer	1	0.2%
day laborer	1	0.2%
druggist	1	0.2%
dyer	1	0.2%
engraver	1	0.2%
farmer	25	5.0%
farming	1	0.2%
founder	1	0.2%
gardener	1	0.2%
gas fitter	1	0.2%
glass blower	1	0.2%
hostler	1	0.2%
house carpenter	1	0.2%
huckster	1	0.2%
innkeeper	1	0.2%
labor	2	0.4%
laborer	29	5.8%
lawyer	1	0.2%
lumber merchant	1	0.2%
machinist	2	0.4%
mariner	1	0.2%
merchant	2	0.4%
miller	1	0.2%
millerman	1	0.2%
morocco dresser	1	0.2%
no business	1	0.2%
none	12	2.4%
oak cooper	1	0.2%
painter	6	1.2%
paperhanger	2	0.4%
plasterer	5	1.0%
poller	1	0.2%
potter	1	0.2%
printer	2	0.4%
saddler	1	0.2%
sailor	1	0.2%
ship carpenter	1	0.2%
shoemaker	1	0.2%
soap manufacturer	1	0.2%
spinner	1	0.2%
stone cutter	3	0.6%
stone mason	1	0.2%
tailor	4	0.8%
tanner	2	0.4%
teacher	1	0.2%
tinman	1	0.2%
tinsmith	1	0.2%
tobacconist	1	0.2%
trunkmaker	1	0.2%
turner	1	0.2%
type founder	1	0.2%
upholsterer	1	0.2%
varnisher	1	0.2%
victualler	1	0.2%
warper	1	0.2%
waterman	2	0.4%
weaver	7	1.4%
wheelwright	2	0.4%

Occupation class in 1850

Artisans	70	39.5%
Manual laborers	34	19.2%
Not in labor force	13	7.3%
Professionals and large proprietors	7	4.0%
Semi-professionals and smaller proprietors	40	22.6%
Service and semi-skilled workers	6	3.4%
[unknown]	324	%
unknown class	7	4.0%

Real property value in 1850

0	493	98.4%
1000	2	0.4%
1200	1	0.2%
20500	1	0.2%
2500	1	0.2%
300	1	0.2%
3000	1	0.2%
700	1	0.2%

Occupation class, by real property, in 1850

	0	1000	1200	20500	2500	300	3000	700	total
Artisans	66 (68.88)	1 (0.28)	1 (0.14)	0 (0.14)	1 (0.14)	1 (0.14)	0 (0.14)	0 (0.14)	70
Manual laborers	34 (33.46)	0 (0.14)	0 (0.07)	0 (0.07)	0 (0.07)	0 (0.07)	0 (0.07)	0 (0.07)	34
Not in labor force	13 (12.79)	0 (0.05)	0 (0.03)	0 (0.03)	0 (0.03)	0 (0.03)	0 (0.03)	0 (0.03)	13
Professionals and large proprietors	7 (6.89)	0 (0.03)	0 (0.01)	0 (0.01)	0 (0.01)	0 (0.01)	0 (0.01)	0 (0.01)	7
Semi-professionals and smaller proprietors	37 (39.36)	1 (0.16)	0 (0.08)	0 (0.08)	0 (0.08)	0 (0.08)	1 (0.08)	1 (0.08)	40
Service and semi-skilled workers	6 (5.9)	0 (0.02)	0 (0.01)	0 (0.01)	0 (0.01)	0 (0.01)	0 (0.01)	0 (0.01)	6
[unknown]	323 (318.83)	0 (1.29)	0 (0.65)	1 (0.65)	0 (0.65)	0 (0.65)	0 (0.65)	0 (0.65)	324
unknown class	7 (6.89)	0 (0.03)	0 (0.01)	0 (0.01)	0 (0.01)	0 (0.01)	0 (0.01)	0 (0.01)	7
total	493	2	1	1	1	1	1	1	501

chi square wasn't calculated because 56 expected values were less than 5

School attendance in 1850

no	291	58.1%
yes	210	41.9%

School attendance in 1850, by age

	no	yes	total
0	2 (1.16)	0 (0.84)	2
1	2 (1.16)	0 (0.84)	2
10	5 (13.36)	18 (9.64)	23
11	3 (11.04)	16 (7.96)	19
12	9 (15.68)	18 (11.32)	27
13	7 (10.46)	11 (7.54)	18
14	5 (8.71)	10 (6.29)	15
15	8 (8.71)	7 (6.29)	15
16	11 (11.04)	8 (7.96)	19
17	5 (4.07)	2 (2.93)	7
18	9 (9.29)	7 (6.71)	16
19	9 (6.39)	2 (4.61)	11
2	9 (5.23)	0 (3.77)	9
20	9 (5.23)	0 (3.77)	9
21	12 (6.97)	0 (5.03)	12
22	9 (5.81)	1 (4.19)	10
23	8 (4.65)	0 (3.35)	8
24	8 (4.65)	0 (3.35)	8
25	13 (7.55)	0 (5.45)	13
26	14 (8.13)	0 (5.87)	14
27	3 (1.74)	0 (1.26)	3
28	5 (2.9)	0 (2.1)	5
29	4 (2.32)	0 (1.68)	4
3	14 (8.13)	0 (5.87)	14
30	8 (4.65)	0 (3.35)	8
31	3 (1.74)	0 (1.26)	3
32	6 (3.49)	0 (2.51)	6
33	4 (2.32)	0 (1.68)	4
35	3 (1.74)	0 (1.26)	3
36	6 (3.49)	0 (2.51)	6
37	2 (1.16)	0 (0.84)	2
38	3 (1.74)	0 (1.26)	3
39	3 (1.74)	0 (1.26)	3
4	16 (10.46)	2 (7.54)	18
40	3 (1.74)	0 (1.26)	3
44	1 (0.58)	0 (0.42)	1
45	1 (0.58)	0 (0.42)	1
46	1 (0.58)	0 (0.42)	1
48	3 (1.74)	0 (1.26)	3
5	9 (12.2)	12 (8.8)	21
6	16 (19.75)	18 (14.25)	34
7	10 (20.91)	26 (15.09)	36
8	7 (19.17)	26 (13.83)	33
9	3 (16.84)	26 (12.16)	29
total	291	210	501

chi square wasn't calculated because 48 expected values were less than 5

School attendance in 1850, by age decade

	no	yes	total
0	88 (115.01)	110 (82.99)	198
10	71 (98.74)	99 (71.26)	170
20	85 (49.95)	1 (36.05)	86
30	38 (22.07)	0 (15.93)	38
40	9 (5.23)	0 (3.77)	9
total	291	210	501

values in parentheses are expected values
degrees of freedom: 4
chi-square: 126.31
p < 5.0E-4
Cramer's V: 0.5

Occupation class in 1850, by occupation class at enlistment

	Artisans	Manual laborers	Professionals and large proprietors	Semi-professionals and smaller proprietors	Service and semi-skilled workers	[unknown]	unknown class	total
Artisans	34 (16.21)	4 (9.5)	0 (0.84)	3 (15.79)	2 (3.77)	27 (21.52)	0 (2.38)	70
Manual laborers	3 (7.87)	10 (4.61)	1 (0.41)	9 (7.67)	0 (1.83)	10 (10.45)	1 (1.15)	34
Not in labor force	3 (3.01)	1 (1.76)	0 (0.16)	4 (2.93)	1 (0.7)	4 (4.0)	0 (0.44)	13
Professionals and large proprietors	0 (1.62)	0 (0.95)	0 (0.08)	1 (1.58)	0 (0.38)	5 (2.15)	1 (0.24)	7
Semi-professionals and smaller proprietors	6 (9.26)	1 (5.43)	1 (0.48)	15 (9.02)	1 (2.16)	15 (12.3)	1 (1.36)	40
Service and semi-skilled workers	1 (1.39)	0 (0.81)	0 (0.07)	1 (1.35)	2 (0.32)	2 (1.84)	0 (0.2)	6
[unknown]	68 (75.02)	51 (43.98)	4 (3.88)	79 (73.08)	21 (17.46)	89 (99.59)	12 (10.99)	324
unknown class	1 (1.62)	1 (0.95)	0 (0.08)	1 (1.58)	0 (0.38)	2 (2.15)	2 (0.24)	7
total	116	68	6	113	27	154	17	501

chi square wasn't calculated because 39 expected values were less than 5

Occupation class in 1850, by occupation class at enlistment (collapsed, excluding unknowns)

	Artisans	Manual laborers	Other	Semi-professionals and smaller proprietors	Service and semi-skilled workers	total
Artisans	34 (19.43)	4 (6.62)	0 (0.83)	3 (13.64)	2 (2.48)	43
Manual laborers	3 (10.39)	10 (3.54)	1 (0.44)	9 (7.3)	0 (1.33)	23
Other	3 (4.52)	1 (1.54)	0 (0.19)	5 (3.17)	1 (0.58)	10
Semi-professionals and smaller proprietors	6 (10.85)	1 (3.69)	1 (0.46)	15 (7.62)	1 (1.38)	24
Service and semi-skilled workers	1 (1.81)	0 (0.62)	0 (0.08)	1 (1.27)	2 (0.23)	4
total	47	16	2	33	6	104

chi square wasn't calculated because 18 expected values were less than 5

Spouse name

Adeline	1	1.3%
Ann	5	6.4%
Betsy	1	1.3%
Caroline#M	1	1.3%
Catharine	3	3.8%
Catharine#Ann	1	1.3%
Catherine	1	1.3%
Cathn	1	1.3%
Cathr=?	1	1.3%
Eliz	1	1.3%
Eliza	2	2.6%
Eliza#J	1	1.3%
Elizabeth	6	7.7%
Ellen	1	1.3%
Ellen#Y	1	1.3%
Emaline	1	1.3%
Emeline	1	1.3%
Emma#E#D	1	1.3%
Hannah	3	3.8%
Harriet	1	1.3%
Henrietta	1	1.3%
J#P	1	1.3%
Jane	1	1.3%
Julia#Ann	1	1.3%
Lavina	1	1.3%
Lavinia	1	1.3%
Leah	1	1.3%
Louisa	2	2.6%
M#B	1	1.3%
Marg	1	1.3%
Margaret	5	6.4%
Margarett	1	1.3%
Martha	2	2.6%
Mary	6	7.7%
Mary#A	4	5.1%
Mary#Ann	1	1.3%
Matilda	2	2.6%
Mrs#Trautwine	1	1.3%
Nancy	1	1.3%
Rebecca	3	3.8%
Sarah	3	3.8%
Sarah#A	1	1.3%
Sophia	1	1.3%
Susan	2	2.6%
[unknown]	423	%

Married in 1850

spouse	78	15.6%
unknown	423	84.4%

Married in 1850, by volunteer status

	spouse	unknown	total
draftee	16 (19.77)	111 (107.23)	127
substitute	4 (8.1)	48 (43.9)	52
volunteer	58 (50.13)	264 (271.87)	322
total	78	423	501

values in parentheses are expected values
degrees of freedom: 2
chi-square: 4.77
p < 0.1
Cramer's V: 0.1

Married in 1850, by whether they started as a commissioned officer

	did not start as commissioned officer	started as commissioned officer	total
spouse	70 (73.8)	8 (4.2)	78
unknown	404 (400.2)	19 (22.8)	423
total	474	27	501

chi square wasn't calculated because 1 expected values were less than 5

Found 1860 census entry

can't identify	40	1.9%
found	621	30.1%
not checked	1265	61.4%
not found	135	6.6%

Person found in 1860 census

soldier

621

100.0%

State living in, in 1860 census

Connecticut	1	0.2%
Delaware	1	0.2%
Kentucky	1	0.2%
Maine	1	0.2%
Maryland	6	1.0%
Massachusetts	3	0.5%
New Jersey	10	1.6%
New York	6	1.0%
Pennsylvania	591	95.2%
Virginia	1	0.2%

Real property value in 1860

0	559	90.0%
100	2	0.3%
1000	5	0.8%
10000	1	0.2%
1100	1	0.2%
1200	4	0.6%
1300	1	0.2%
13500	1	0.2%
150	1	0.2%
1500	1	0.2%
200	1	0.2%
2000	3	0.5%
2200	1	0.2%
2300	1	0.2%
2500	2	0.3%
25000	1	0.2%
300	2	0.3%
3000	2	0.3%
370	1	0.2%
400	5	0.8%
4500	1	0.2%
4800	1	0.2%
50	1	0.2%
500	7	1.1%
5000	4	0.6%
5500	1	0.2%
600	4	0.6%
700	2	0.3%
800	5	0.8%

Personal property value in 1860

0	436	70.2%
100	28	4.5%
1000	7	1.1%
1058	1	0.2%
1200	3	0.5%
123	1	0.2%
1230	1	0.2%
125	2	0.3%
150	13	2.1%
1500	1	0.2%
175	1	0.2%
180	1	0.2%
200	37	6.0%
2000	1	0.2%
230	1	0.2%
25	1	0.2%
250	4	0.6%
30	2	0.3%
300	21	3.4%
3000	1	0.2%
370	1	0.2%
40	2	0.3%
425	1	0.2%
50	15	2.4%
500	17	2.7%
530	1	0.2%
550	2	0.3%
565	1	0.2%
600	6	1.0%
75	8	1.3%
800	3	0.5%
95	1	0.2%

Occupation in 1860

M.E. Minister	1	0.2%
MD	1	0.2%
Meth E clergyman	1	0.2%
[blank; probably none]	142	22.9%
app blacksmith	1	0.2%
app steel polisher	1	0.2%
app to bookbinder	1	0.2%
app to milling	1	0.2%
app to tinsmith	1	0.2%
app wheelwright	1	0.2%
apprentice	2	0.3%
apprentice brass founder	1	0.2%
apprentice morocco dresser	1	0.2%
apprentice painter	1	0.2%
apprentice to blacksmith	1	0.2%
baker	3	0.5%
bar keeper	1	0.2%
barber	1	0.2%
bartender	1	0.2%
basket manufacturer	1	0.2%
basketmaker	1	0.2%
blacksmith	8	1.3%
blacksmith app	1	0.2%
boat builder	1	0.2%
boatman	3	0.5%
boilermaker	1	0.2%
book store	1	0.2%
bookbinder	3	0.5%
bookbinder apprentice	1	0.2%
bookkeeper	2	0.3%
bootfitter	1	0.2%
brass moulder	1	0.2%
bricklayer	4	0.6%
brickmaker	6	1.0%
brickmaker [?]	1	0.2%
brickyard boy	2	0.3%
butcher	2	0.3%
carpenter	22	3.5%
carpenter + farmer	1	0.2%
carpenter app	1	0.2%
carriage painter	1	0.2%
carter	2	0.3%
char [?] hooper [?]	1	0.2%
cigarmaker	1	0.2%
clerk	8	1.3%
clerk in store	1	0.2%
coach apprentice	1	0.2%
coach painter	1	0.2%
coach trimmer	1	0.2%
coachmaker	3	0.5%
coal miner	1	0.2%
conductor	3	0.5%
confectioner	2	0.3%
contractor	1	0.2%
conveyancer	1	0.2%
cooper	2	0.3%
cooper app	1	0.2%
cordwainer	2	0.3%
cutter in shoe store	1	0.2%
day laborer	23	3.7%
dealer	2	0.3%
dental worker	1	0.2%
domestic	2	0.3%
drayman	1	0.2%
druggist	5	0.8%
engineer	1	0.2%
factory hand	1	0.2%
farm hand	5	0.8%
farm lab	10	1.6%
farm labor	1	0.2%
farm laborer	31	5.0%
farm tenant	1	0.2%
farmer	45	7.2%
farmhand	2	0.3%
fisherman	3	0.5%
gardener	2	0.3%
gas fitter	1	0.2%
gas meter manuf	1	0.2%
general dealer	1	0.2%
gentleman	1	0.2%
glass blower	8	1.3%
grocer	1	0.2%
hand loom weaver	1	0.2%
hatter	1	0.2%
heaver up rolls	1	0.2%
hostler	1	0.2%
hotel keeper	2	0.3%
house [illegible]	1	0.2%
house carpenter	1	0.2%
house painter	2	0.3%
ingrain carpet weaver	1	0.2%
iron moulder	3	0.5%
jeweller	1	0.2%
lab man	1	0.2%
laborer	51	8.2%
labour	1	0.2%
labourer	2	0.3%
lamp maker	1	0.2%
last maker	1	0.2%
lead pencil maker	1	0.2%
liquor dealer	1	0.2%
lithographer	2	0.3%
locksmith	1	0.2%
lumber merchant	1	0.2%
machinist	2	0.3%
mariner	2	0.3%
mason	4	0.6%
master bricklayer	1	0.2%
master butcher	1	0.2%
master collier	1	0.2%
master painter	1	0.2%
master plasterer	1	0.2%
master wheelwright	1	0.2%
merchant	4	0.6%
miller	1	0.2%
millwright	1	0.2%
morocco dresser	1	0.2%
morocco dyer	1	0.2%
morocco shaver	1	0.2%
moulder	2	0.3%
musician	1	0.2%
operative	1	0.2%
ornamental painter	1	0.2%
painter	11	1.8%
paperhanger	4	0.6%
paver	1	0.2%
pedlar	1	0.2%
plasterer	3	0.5%
polisher	1	0.2%
potter	2	0.3%
power loom weaver	1	0.2%
printer	2	0.3%
private	1	0.2%
provision dealer	1	0.2%
purveyor	1	0.2%
quarryman	1	0.2%
r r conductor	1	0.2%
ropemaker	1	0.2%
salesman	3	0.5%
sawyer	1	0.2%
scourer	1	0.2%
segar apprentice	1	0.2%
segar maker	1	0.2%
serving [?]	1	0.2%
sheet iron worker	1	0.2%
ship joiner	1	0.2%
shoemaker	9	1.4%
shoemaker apprentice	1	0.2%
shovel polisher	1	0.2%
sign painter	1	0.2%
silversmith	1	0.2%
soap boiler	1	0.2%
stamper	1	0.2%
stone cutter	4	0.6%
stone cutter app	1	0.2%
stone mason	1	0.2%
stove molder	1	0.2%
stove moulder	1	0.2%
tailor	6	1.0%
tavern keeper	1	0.2%
tea dealer	1	0.2%
teacher of com. school	1	0.2%
teamster	1	0.2%
tinner	1	0.2%
tinsmith	3	0.5%
trunkmaker	1	0.2%
type caster	2	0.3%
upholsterer	2	0.3%
varnisher	3	0.5%
victualler	1	0.2%
wagonmaker	1	0.2%
warper	2	0.3%
waterman	1	0.2%
weaver	9	1.4%
wharf builder	1	0.2%
wheelwright	3	0.5%

Occupation class in 1860

Artisans	163	35.4%
Manual laborers	136	29.5%
Not in labor force	1	0.2%
Professionals and large proprietors	18	3.9%
Semi-professionals and smaller proprietors	94	20.4%
Service and semi-skilled workers	32	6.9%
[unknown]	160	%
unknown class	17	3.7%

Occupation class in 1860, by occupation class at enlistment

	Artisans	Manual laborers	Not in labor force	Professionals and large proprietors	Semi-professionals and smaller proprietors	Service and semi-skilled workers	[unknown]	unknown class	total
Artisans	89 (40.68)	9 (24.94)	0 (0.26)	0 (1.57)	8 (35.96)	5 (8.92)	46 (45.41)	6 (5.25)	163
Manual laborers	17 (33.95)	50 (20.81)	0 (0.22)	1 (1.31)	31 (30.0)	5 (7.45)	31 (37.89)	1 (4.38)	136
Not in labor force	1 (0.25)	0 (0.15)	0 (0.0)	0 (0.01)	0 (0.22)	0 (0.05)	0 (0.28)	0 (0.03)	1
Professionals and large proprietors	2 (4.49)	0 (2.75)	0 (0.03)	2 (0.17)	3 (3.97)	0 (0.99)	11 (5.01)	0 (0.58)	18
Semi-professionals and smaller proprietors	8 (23.46)	6 (14.38)	1 (0.15)	2 (0.91)	48 (20.74)	0 (5.15)	28 (26.19)	1 (3.03)	94
Service and semi-skilled workers	3 (7.99)	2 (4.9)	0 (0.05)	1 (0.31)	2 (7.06)	12 (1.75)	12 (8.91)	0 (1.03)	32
[unknown]	34 (39.94)	28 (24.48)	0 (0.26)	0 (1.55)	42 (35.3)	11 (8.76)	40 (44.57)	5 (5.15)	160
unknown class	1 (4.24)	0 (2.6)	0 (0.03)	0 (0.16)	3 (3.75)	1 (0.93)	5 (4.74)	7 (0.55)	17
total	155	95	1	6	137	34	173	20	621

chi square wasn't calculated because 38 expected values were less than 5

Occupation class in 1860, by occupation class at enlistment (collapsed, excluding unknowns)

	Artisans	Manual laborers	Other	Semi-professionals and smaller proprietors	Service and semi-skilled workers	total
Artisans	89 (43.25)	9 (24.15)	0 (2.52)	8 (33.16)	5 (7.93)	111
Manual laborers	17 (40.52)	50 (22.62)	1 (2.36)	31 (31.06)	5 (7.43)	104
Other	3 (3.12)	0 (1.74)	2 (0.18)	3 (2.39)	0 (0.57)	8
Semi-professionals and smaller proprietors	8 (25.32)	6 (14.14)	3 (1.48)	48 (19.42)	0 (4.64)	65
Service and semi-skilled workers	3 (7.79)	2 (4.35)	1 (0.45)	2 (5.97)	12 (1.43)	20
total	120	67	7	92	22	308

chi square wasn't calculated because 12 expected values were less than 5

School attendance in 1860

no	524	84.4%
yes	97	15.6%

Average real property ownership in 1860

based on 621 instances
minimum	0 dollars
maximum	25000 dollars
median	0 dollars
mode	0: 559 instances
mean	214.8 dollars
standard deviation	214.97

Average real property ownership in 1860 (volunteers only)

based on 399 instances
minimum	0 dollars
maximum	25000 dollars
median	0 dollars
mode	0: 385 instances
mean	178.6 dollars
standard deviation	178.82

Average real property ownership in 1860 (drafted men only)

based on 160 instances
minimum	0 dollars
maximum	5500 dollars
median	0.0 dollars
mode	0: 115 instances
mean	368.9 dollars
standard deviation	370.06

Average real property ownership in 1860 (substitutes only)

based on 62 instances
minimum	0 dollars
maximum	2500 dollars
median	0.0 dollars
mode	0: 59 instances
mean	50.0 dollars
standard deviation	50.41

Owned anything in 1860, by occupation class (collapsed, excluding unknowns)

	no	yes	total
Artisans	100 (99.12)	63 (63.88)	163
Manual laborers	96 (82.7)	40 (53.3)	136
Other	6 (11.55)	13 (7.45)	19
Semi-professionals and smaller proprietors	44 (57.16)	50 (36.84)	94
Service and semi-skilled workers	24 (19.46)	8 (12.54)	32
total	270	174	444

values in parentheses are expected values
degrees of freedom: 4
chi-square: 22.71
p < 5.0E-4
Cramer's V: 0.23

Owned any real property in 1860, by occupation class (collapsed, excluding unknowns)

	no	yes	total
Artisans	144 (141.34)	19 (21.66)	163
Manual laborers	126 (117.93)	10 (18.07)	136
Other	17 (16.48)	2 (2.52)	19
Semi-professionals and smaller proprietors	67 (81.51)	27 (12.49)	94
Service and semi-skilled workers	31 (27.75)	1 (4.25)	32
total	385	59	444

values in parentheses are expected values
degrees of freedom: 4
chi-square: 26.96
p < 5.0E-4
Cramer's V: 0.25

Owned any personal property in 1860, by occupation class (collapsed, excluding unknowns)

	no	yes	total
Artisans	101 (99.86)	62 (63.14)	163
Manual laborers	96 (83.32)	40 (52.68)	136
Other	6 (11.64)	13 (7.36)	19
Semi-professionals and smaller proprietors	44 (57.59)	50 (36.41)	94
Service and semi-skilled workers	25 (19.6)	7 (12.4)	32
total	272	172	444

values in parentheses are expected values
degrees of freedom: 4
chi-square: 24.19
p < 5.0E-4
Cramer's V: 0.23

Owned anything in 1860, by HISCO major occupation class

	no	yes	total
[unknown]	158 (117.84)	11 (51.16)	169
agricultural, animal husbandry and forestry workers, fisherman, and hunters	54 (70.42)	47 (30.58)	101
clerical and related workers	11 (10.46)	4 (4.54)	15
not in work force	0 (0.7)	1 (0.3)	1
production and related workers, transport equipment operators, and laborers	191 (208.48)	108 (90.52)	299
professional, technical, and related workers	3 (2.79)	1 (1.21)	4
sales workers	10 (15.34)	12 (6.66)	22
service workers	6 (6.97)	4 (3.03)	10
total	433	188	621

chi square wasn't calculated because 6 expected values were less than 5

Real property ownership in 1860, by HISCO major class

	no	yes	total
[unknown]	167 (152.13)	2 (16.87)	169
agricultural, animal husbandry and forestry workers, fisherman, and hunters	77 (90.92)	24 (10.08)	101
clerical and related workers	14 (13.5)	1 (1.5)	15
not in work force	1 (0.9)	0 (0.1)	1
production and related workers, transport equipment operators, and laborers	267 (269.15)	32 (29.85)	299
professional, technical, and related workers	4 (3.6)	0 (0.4)	4
sales workers	19 (19.8)	3 (2.2)	22
service workers	10 (9.0)	0 (1.0)	10
total	559	62	621

chi square wasn't calculated because 7 expected values were less than 5

Owned any personal property in 1860, by HISCO major occupation class

	no	yes	total
[unknown]	159 (118.65)	10 (50.35)	169
agricultural, animal husbandry and forestry workers, fisherman, and hunters	54 (70.91)	47 (30.09)	101
clerical and related workers	11 (10.53)	4 (4.47)	15
not in work force	0 (0.7)	1 (0.3)	1
production and related workers, transport equipment operators, and laborers	193 (209.93)	106 (89.07)	299
professional, technical, and related workers	3 (2.81)	1 (1.19)	4
sales workers	10 (15.45)	12 (6.55)	22
service workers	6 (7.02)	4 (2.98)	10
total	436	185	621

chi square wasn't calculated because 6 expected values were less than 5

Spouse name in 1860

Abby	1	0.4%
Adaline	1	0.4%
Amanda	1	0.4%
Ann	6	2.3%
Ann#K	1	0.4%
Ann#M	1	0.4%
Anna	5	2.0%
Anna#E	1	0.4%
Anna#F	1	0.4%
Anna#M	2	0.8%
Anne	2	0.8%
Annie	1	0.4%
Augusta	1	0.4%
Barbara	2	0.8%
Barbarra	1	0.4%
Carolina	1	0.4%
Caroline	2	0.8%
Cath	1	0.4%
Catharine	11	4.3%
Catharine#A	1	0.4%
Catharine#Ann	1	0.4%
Catherin	1	0.4%
Catherine	4	1.6%
Charlotte	1	0.4%
Cristina	1	0.4%
Eleanor	1	0.4%
Elisabeth	1	0.4%
Eliz	2	0.8%
Eliza	8	3.1%
Eliza#Jane	1	0.4%
Elizabeth	20	7.8%
Ellen	4	1.6%
Ellen#Y	1	0.4%
Emaline	1	0.4%
Emeline	2	0.8%
Emma	4	1.6%
Fanny	3	1.2%
Fredericca	1	0.4%
Hannah	5	2.0%
Harriet	4	1.6%
Isabella	2	0.8%
Jane	5	2.0%
Janet	1	0.4%
Jemima	1	0.4%
Josephine	1	0.4%
Julia	2	0.8%
Julian	2	0.8%
Juliann	1	0.4%
Julianna	1	0.4%
Kate	2	0.8%
Lavinia	1	0.4%
Leah	1	0.4%
Louisa	4	1.6%
Lucy	3	1.2%
Lydia	1	0.4%
Marg	2	0.8%
Margaret	15	5.9%
Margret	1	0.4%
Margt	1	0.4%
Maria	1	0.4%
Maria#A	1	0.4%
Mariah#E	1	0.4%
Marion#B	1	0.4%
Martha	5	2.0%
Mary	28	10.9%
Mary#A	1	0.4%
Mary#Ann	2	0.8%
Mary#C	1	0.4%
Mary#E	2	0.8%
Mary#Jane	1	0.4%
Mary#L	1	0.4%
Maryann	1	0.4%
Matilda	3	1.2%
May	1	0.4%
Miram	1	0.4%
Nancy	2	0.8%
Patience	1	0.4%
Phebe	1	0.4%
Rachael	1	0.4%
Rachel	1	0.4%
Rebecca	6	2.3%
Rebecca#J	1	0.4%
Rosan	1	0.4%
Rosanna	1	0.4%
Rosanne	1	0.4%
Rose#Ann	1	0.4%
Sallie	1	0.4%
Sallie#E	1	0.4%
Sarah	17	6.6%
Sarah#A	1	0.4%
Sarah#Ann	1	0.4%
Sarah#G	1	0.4%
Sarah#J	1	0.4%
Sophia	1	0.4%
Susan	6	2.3%
Terrissa	1	0.4%
Willm	1	0.4%
[unknown]	365	%

Married in 1860

spouse	256	41.2%
unknown	365	58.8%

Married in 1860, by volunteer status

	spouse	unknown	total
draftee	92 (65.96)	68 (94.04)	160
substitute	7 (25.56)	55 (36.44)	62
volunteer	157 (164.48)	242 (234.52)	399
total	256	365	621

values in parentheses are expected values
degrees of freedom: 2
chi-square: 41.0
p < 5.0E-4
Cramer's V: 0.26

Married in 1860, by whether they started as a commissioned officer

	did not start as commissioned officer	started as commissioned officer	total
spouse	246 (246.93)	10 (9.07)	256
unknown	353 (352.07)	12 (12.93)	365
total	599	22	621

values in parentheses are expected values
degrees of freedom: 1
chi-square: 0.17
p > 0.25
Cramer's V: 0.02

Married in 1860, by their occupation class

	spouse	unknown	total
Artisans	92 (67.19)	71 (95.81)	163
Manual laborers	62 (56.06)	74 (79.94)	136
Not in labor force	0 (0.41)	1 (0.59)	1
Professionals and large proprietors	10 (7.42)	8 (10.58)	18
Semi-professionals and smaller proprietors	56 (38.75)	38 (55.25)	94
Service and semi-skilled workers	14 (13.19)	18 (18.81)	32
[unknown]	14 (65.96)	146 (94.04)	160
unknown class	8 (7.01)	9 (9.99)	17
total	256	365	621

values in parentheses are expected values
degrees of freedom: 7
chi-square: 101.91
p < 5.0E-4
Cramer's V: 0.41

Married in 1860, by whether they died while in the regiment

	did not die while in regiment	died while in regiment	total
spouse	216 (215.19)	40 (40.81)	256
unknown	306 (306.81)	59 (58.19)	365
total	522	99	621

values in parentheses are expected values
degrees of freedom: 1
chi-square: 0.03
p > 0.25
Cramer's V: 0.01

Married in 1860, by whether they ever deserted

	deserted	never deserted	total
spouse	22 (20.2)	234 (235.8)	256
unknown	27 (28.8)	338 (336.2)	365
total	49	572	621

values in parentheses are expected values
degrees of freedom: 1
chi-square: 0.3
p > 0.25
Cramer's V: 0.02

Married in 1860, by whether they reenlisted as veteran volunteers

	spouse	unknown	total
[unknown]	17 (19.38)	30 (27.62)	47
ineligible	199 (186.33)	253 (265.67)	452
unwilling to reenlist	7 (6.6)	9 (9.4)	16
veteran	31 (40.81)	68 (58.19)	99
willing to reenlist	2 (2.89)	5 (4.11)	7
total	256	365	621

values in parentheses are expected values
degrees of freedom: 4
chi-square: 6.48
p < 0.2
Cramer's V: 0.1

Owned any property in 1860, by whether they were married in 1860

	no	yes	total
spouse	88 (178.5)	168 (77.5)	256
unknown	345 (254.5)	20 (110.5)	365
total	433	188	621

values in parentheses are expected values
degrees of freedom: 1
chi-square: 257.87
p < 5.0E-4
Cramer's V: 0.64

Married in 1860, by HISCO major occupation class in 1860

	spouse	unknown	total
[unknown]	16 (69.67)	153 (99.33)	169
agricultural, animal husbandry and forestry workers, fisherman, and hunters	54 (41.64)	47 (59.36)	101
clerical and related workers	3 (6.18)	12 (8.82)	15
not in work force	0 (0.41)	1 (0.59)	1
production and related workers, transport equipment operators, and laborers	164 (123.26)	135 (175.74)	299
professional, technical, and related workers	1 (1.65)	3 (2.35)	4
sales workers	13 (9.07)	9 (12.93)	22
service workers	5 (4.12)	5 (5.88)	10
total	256	365	621

chi square wasn't calculated because 5 expected values were less than 5

Married in 1860, by occupation class (collapsed, excluding unknowns)

	no	yes	total
Artisans	100 (99.12)	63 (63.88)	163
Manual laborers	96 (82.7)	40 (53.3)	136
Other	6 (11.55)	13 (7.45)	19
Semi-professionals and smaller proprietors	44 (57.16)	50 (36.84)	94
Service and semi-skilled workers	24 (19.46)	8 (12.54)	32
total	270	174	444

values in parentheses are expected values
degrees of freedom: 4
chi-square: 22.71
p < 5.0E-4
Cramer's V: 0.23

Age in 1860 census

10	2	0.3%
11	4	0.6%
12	15	2.4%
13	16	2.6%
14	24	3.9%
15	40	6.4%
16	35	5.6%
17	33	5.3%
18	33	5.3%
19	32	5.2%
20	18	2.9%
21	22	3.5%
22	32	5.2%
23	19	3.1%
24	26	4.2%
25	20	3.2%
26	25	4.0%
27	9	1.4%
28	16	2.6%
29	12	1.9%
30	27	4.3%
31	10	1.6%
32	13	2.1%
33	11	1.8%
34	6	1.0%
35	24	3.9%
36	12	1.9%
37	12	1.9%
38	9	1.4%
39	8	1.3%
40	8	1.3%
41	4	0.6%
42	4	0.6%
43	3	0.5%
44	4	0.6%
45	5	0.8%
46	4	0.6%
47	4	0.6%
48	8	1.3%
49	2	0.3%
50	5	0.8%
51	1	0.2%
52	1	0.2%
54	1	0.2%
58	1	0.2%
62	1	0.2%

Analysis of ages in 1860 census

based on 621 instances
minimum	10 years
maximum	62 years
median	23 years
mode	15: 40 instances
mean	25.0 years
standard deviation	25.02

Difference in birthyear between the enlistment age and the 1860 census age

-01	66	10.7%
-02	34	5.5%
-03	16	2.6%
-04	8	1.3%
-05	6	1.0%
-06	5	0.8%
-07	9	1.5%
-08	7	1.1%
-09	3	0.5%
-10	2	0.3%
-11	1	0.2%
-12	1	0.2%
-13	2	0.3%
-14	1	0.2%
-17	2	0.3%
-19	1	0.2%
00	182	29.6%
01	127	20.7%
02	67	10.9%
03	40	6.5%
04	16	2.6%
05	5	0.8%
06	3	0.5%
07	1	0.2%
08	1	0.2%
09	2	0.3%
10	2	0.3%
11	2	0.3%
12	1	0.2%
13	1	0.2%
[unknown]	7	%

Pennsylvania county living in, in 1860 census

Adams	47	7.6%
Allegheny	8	1.3%
Armstrong	4	0.6%
Bedford	48	7.7%
Berks	5	0.8%
Blair	6	1.0%
Bradford	2	0.3%
Bucks	6	1.0%
Butler	1	0.2%
Cambria	1	0.2%
Centre	2	0.3%
Chester	3	0.5%
Clarion	1	0.2%
Clinton	1	0.2%
Cumberland	1	0.2%
Dauphin	4	0.6%
Delaware	7	1.1%
Fayette	1	0.2%
Franklin	3	0.5%
Fulton	1	0.2%
Greene	2	0.3%
Huntingdon	19	3.1%
Indiana	2	0.3%
Jefferson	3	0.5%
Juniata	4	0.6%
Lancaster	8	1.3%
Lebanon	1	0.2%
Luzerne	2	0.3%
Lycoming	2	0.3%
Mercer	1	0.2%
Mifflin	1	0.2%
Monroe	2	0.3%
Montgomery	21	3.4%
Montour	1	0.2%
Northampton	4	0.6%
Northumberland	15	2.4%
Philadelphia	320	51.5%
Schuylkill	5	0.8%
Somerset	11	1.8%
Tioga	3	0.5%
Union	1	0.2%
Wayne	2	0.3%
Westmoreland	4	0.6%
York	5	0.8%
not Pennsylvania	30	4.8%

Pennsylvania county living in, in 1860 census, by volunteer status

	draftee	substitute	volunteer	total
Adams	38 (12.11)	9 (4.69)	0 (30.2)	47
Allegheny	2 (2.06)	1 (0.8)	5 (5.14)	8
Armstrong	3 (1.03)	1 (0.4)	0 (2.57)	4
Bedford	43 (12.37)	5 (4.79)	0 (30.84)	48
Berks	1 (1.29)	4 (0.5)	0 (3.21)	5
Blair	4 (1.55)	0 (0.6)	2 (3.86)	6
Bradford	0 (0.52)	2 (0.2)	0 (1.29)	2
Bucks	2 (1.55)	0 (0.6)	4 (3.86)	6
Butler	1 (0.26)	0 (0.1)	0 (0.64)	1
Cambria	1 (0.26)	0 (0.1)	0 (0.64)	1
Centre	0 (0.52)	2 (0.2)	0 (1.29)	2
Chester	0 (0.77)	0 (0.3)	3 (1.93)	3
Clarion	0 (0.26)	0 (0.1)	1 (0.64)	1
Clinton	0 (0.26)	0 (0.1)	1 (0.64)	1
Cumberland	0 (0.26)	1 (0.1)	0 (0.64)	1
Dauphin	1 (1.03)	0 (0.4)	3 (2.57)	4
Delaware	2 (1.8)	0 (0.7)	5 (4.5)	7
Fayette	0 (0.26)	1 (0.1)	0 (0.64)	1
Franklin	1 (0.77)	2 (0.3)	0 (1.93)	3
Fulton	0 (0.26)	1 (0.1)	0 (0.64)	1
Greene	0 (0.52)	2 (0.2)	0 (1.29)	2
Huntingdon	16 (4.9)	2 (1.9)	1 (12.21)	19
Indiana	1 (0.52)	1 (0.2)	0 (1.29)	2
Jefferson	0 (0.77)	1 (0.3)	2 (1.93)	3
Juniata	3 (1.03)	1 (0.4)	0 (2.57)	4
Lancaster	4 (2.06)	0 (0.8)	4 (5.14)	8
Lebanon	1 (0.26)	0 (0.1)	0 (0.64)	1
Luzerne	1 (0.52)	0 (0.2)	1 (1.29)	2
Lycoming	1 (0.52)	1 (0.2)	0 (1.29)	2
Mercer	0 (0.26)	1 (0.1)	0 (0.64)	1
Mifflin	0 (0.26)	1 (0.1)	0 (0.64)	1
Monroe	1 (0.52)	0 (0.2)	1 (1.29)	2
Montgomery	10 (5.41)	3 (2.1)	8 (13.49)	21
Montour	0 (0.26)	1 (0.1)	0 (0.64)	1
Northampton	0 (1.03)	2 (0.4)	2 (2.57)	4
Northumberland	0 (3.86)	0 (1.5)	15 (9.64)	15
Philadelphia	5 (82.45)	4 (31.95)	311 (205.6)	320
Schuylkill	0 (1.29)	5 (0.5)	0 (3.21)	5
Somerset	11 (2.83)	0 (1.1)	0 (7.07)	11
Tioga	1 (0.77)	2 (0.3)	0 (1.93)	3
Union	0 (0.26)	0 (0.1)	1 (0.64)	1
Wayne	1 (0.52)	0 (0.2)	1 (1.29)	2
Westmoreland	0 (1.03)	3 (0.4)	1 (2.57)	4
York	2 (1.29)	0 (0.5)	3 (3.21)	5
not Pennsylvania	3 (7.73)	3 (3.0)	24 (19.28)	30
total	160	62	399	621

chi square wasn't calculated because 119 expected values were less than 5

State living in, in 1860 census, by state in 1870 census

	Delaware	Kentucky	Maine	Maryland	Massachusetts	New Jersey	New York	Pennsylvania	Virginia	total
Colorado	0 (0.0)	0 (0.0)	0 (0.0)	0 (0.01)	0 (0.0)	0 (0.01)	0 (0.0)	1 (0.96)	0 (0.0)	1
Connecticut	0 (0.0)	0 (0.0)	0 (0.0)	0 (0.01)	1 (0.0)	0 (0.01)	0 (0.0)	0 (0.96)	0 (0.0)	1
Delaware	0 (0.0)	0 (0.0)	0 (0.0)	0 (0.02)	0 (0.01)	1 (0.02)	0 (0.01)	1 (1.92)	0 (0.0)	2
Illinois	0 (0.01)	0 (0.01)	0 (0.01)	0 (0.07)	0 (0.03)	0 (0.07)	0 (0.03)	6 (5.75)	0 (0.01)	6
Iowa	0 (0.0)	0 (0.0)	0 (0.0)	0 (0.02)	0 (0.01)	0 (0.02)	0 (0.01)	2 (1.92)	0 (0.0)	2
Kansas	0 (0.0)	0 (0.0)	0 (0.0)	0 (0.02)	0 (0.01)	0 (0.02)	0 (0.01)	2 (1.92)	0 (0.0)	2
Maine	0 (0.0)	0 (0.0)	1 (0.0)	0 (0.01)	0 (0.0)	0 (0.01)	0 (0.0)	0 (0.96)	0 (0.0)	1
Maryland	0 (0.01)	0 (0.01)	0 (0.01)	2 (0.07)	0 (0.03)	0 (0.07)	0 (0.03)	4 (5.75)	0 (0.01)	6
Massachusetts	0 (0.0)	0 (0.0)	0 (0.0)	0 (0.01)	1 (0.0)	0 (0.01)	0 (0.0)	0 (0.96)	0 (0.0)	1
Missouri	0 (0.0)	0 (0.0)	0 (0.0)	0 (0.01)	0 (0.0)	0 (0.01)	0 (0.0)	1 (0.96)	0 (0.0)	1
Nebraska	0 (0.0)	0 (0.0)	0 (0.0)	0 (0.01)	0 (0.0)	0 (0.01)	0 (0.0)	1 (0.96)	0 (0.0)	1
New Jersey	0 (0.02)	0 (0.02)	0 (0.02)	0 (0.08)	0 (0.03)	3 (0.08)	0 (0.03)	4 (6.7)	0 (0.02)	7
New York	0 (0.0)	0 (0.0)	0 (0.0)	0 (0.01)	0 (0.0)	0 (0.01)	1 (0.0)	0 (0.96)	0 (0.0)	1
Ohio	0 (0.0)	0 (0.0)	0 (0.0)	0 (0.02)	0 (0.01)	0 (0.02)	0 (0.01)	2 (1.92)	0 (0.0)	2
Pennsylvania	0 (0.9)	1 (0.9)	0 (0.9)	3 (4.52)	0 (1.81)	1 (4.52)	1 (1.81)	380 (369.73)	0 (0.9)	386
Rhode Island	0 (0.0)	0 (0.0)	0 (0.0)	0 (0.01)	0 (0.0)	0 (0.01)	0 (0.0)	1 (0.96)	0 (0.0)	1
Texas	1 (0.0)	0 (0.0)	0 (0.0)	0 (0.02)	0 (0.01)	0 (0.02)	0 (0.01)	1 (1.92)	0 (0.0)	2
Washington, District of Columbia	0 (0.0)	0 (0.0)	0 (0.0)	0 (0.02)	0 (0.01)	0 (0.02)	0 (0.01)	2 (1.92)	0 (0.0)	2
West Virginia	0 (0.0)	0 (0.0)	0 (0.0)	0 (0.01)	0 (0.0)	0 (0.01)	0 (0.0)	0 (0.96)	1 (0.0)	1
Wyoming Territory	0 (0.0)	0 (0.0)	0 (0.0)	0 (0.01)	0 (0.0)	0 (0.01)	0 (0.0)	1 (0.96)	0 (0.0)	1
total	1	1	1	5	2	5	2	409	1	427

chi square wasn't calculated because 176 expected values were less than 5

Pennsylvania county living in, in 1860 census, by Pennsylvania county in 1870 census

	Adams	Allegheny	Armstrong	Bedford	Berks	Blair	Bradford	Bucks	Butler	Cambria	Centre	Chester	Clarion	Cumberland	Delaware	Fayette	Franklin	Greene	Huntingdon	Jefferson	Juniata	Lancaster	Lebanon	Luzerne	Lycoming	Mercer	Monroe	Montgomery	Montour	Northampton	Northumberland	Philadelphia	Schuylkill	Somerset	Tioga	Wayne	Westmoreland	York	not Pennsylvania	total
Adams	40 (4.13)	0 (0.48)	0 (0.38)	0 (3.94)	0 (0.48)	0 (0.58)	0 (0.1)	0 (0.38)	0 (0.1)	0 (0.1)	0 (0.19)	0 (0.19)	0 (0.1)	0 (0.1)	0 (0.38)	0 (0.1)	0 (0.29)	0 (0.1)	0 (1.63)	0 (0.19)	0 (0.19)	0 (0.58)	0 (0.1)	0 (0.1)	0 (0.19)	0 (0.1)	0 (0.19)	0 (1.63)	0 (0.1)	0 (0.19)	0 (0.67)	0 (19.2)	0 (0.19)	0 (1.06)	0 (0.29)	0 (0.1)	0 (0.29)	1 (0.19)	0 (1.73)	41
Allegheny	0 (0.7)	5 (0.08)	0 (0.07)	0 (0.67)	0 (0.08)	0 (0.1)	0 (0.02)	0 (0.07)	0 (0.02)	0 (0.02)	0 (0.03)	0 (0.03)	0 (0.02)	0 (0.02)	0 (0.07)	0 (0.02)	0 (0.05)	0 (0.02)	0 (0.28)	0 (0.03)	0 (0.03)	0 (0.1)	0 (0.02)	0 (0.02)	0 (0.03)	0 (0.02)	0 (0.03)	0 (0.28)	0 (0.02)	0 (0.03)	0 (0.11)	0 (3.28)	0 (0.03)	0 (0.18)	0 (0.05)	0 (0.02)	1 (0.05)	0 (0.03)	1 (0.3)	7
Armstrong	0 (0.4)	0 (0.05)	3 (0.04)	0 (0.38)	0 (0.05)	0 (0.06)	0 (0.01)	0 (0.04)	0 (0.01)	0 (0.01)	0 (0.02)	0 (0.02)	1 (0.01)	0 (0.01)	0 (0.04)	0 (0.01)	0 (0.03)	0 (0.01)	0 (0.16)	0 (0.02)	0 (0.02)	0 (0.06)	0 (0.01)	0 (0.01)	0 (0.02)	0 (0.01)	0 (0.02)	0 (0.16)	0 (0.01)	0 (0.02)	0 (0.07)	0 (1.87)	0 (0.02)	0 (0.1)	0 (0.03)	0 (0.01)	0 (0.03)	0 (0.02)	0 (0.17)	4
Bedford	0 (3.63)	0 (0.42)	0 (0.34)	34 (3.46)	0 (0.42)	1 (0.51)	0 (0.08)	0 (0.34)	0 (0.08)	0 (0.08)	0 (0.17)	0 (0.17)	0 (0.08)	0 (0.08)	0 (0.34)	0 (0.08)	0 (0.25)	0 (0.08)	0 (1.43)	0 (0.17)	0 (0.17)	0 (0.51)	0 (0.08)	0 (0.08)	0 (0.17)	0 (0.08)	0 (0.17)	0 (1.43)	0 (0.08)	0 (0.17)	0 (0.59)	0 (16.86)	0 (0.17)	0 (0.93)	0 (0.25)	0 (0.08)	0 (0.25)	0 (0.17)	1 (1.52)	36
Berks	0 (0.3)	0 (0.04)	0 (0.03)	0 (0.29)	3 (0.04)	0 (0.04)	0 (0.01)	0 (0.03)	0 (0.01)	0 (0.01)	0 (0.01)	0 (0.01)	0 (0.01)	0 (0.01)	0 (0.03)	0 (0.01)	0 (0.02)	0 (0.01)	0 (0.12)	0 (0.01)	0 (0.01)	0 (0.04)	0 (0.01)	0 (0.01)	0 (0.01)	0 (0.01)	0 (0.01)	0 (0.12)	0 (0.01)	0 (0.01)	0 (0.05)	0 (1.41)	0 (0.01)	0 (0.08)	0 (0.02)	0 (0.01)	0 (0.02)	0 (0.01)	0 (0.13)	3
Blair	0 (1.01)	0 (0.12)	0 (0.09)	3 (0.96)	0 (0.12)	5 (0.14)	0 (0.02)	0 (0.09)	0 (0.02)	0 (0.02)	0 (0.05)	0 (0.05)	0 (0.02)	0 (0.02)	0 (0.09)	0 (0.02)	0 (0.07)	0 (0.02)	2 (0.4)	0 (0.05)	0 (0.05)	0 (0.14)	0 (0.02)	0 (0.02)	0 (0.05)	0 (0.02)	0 (0.05)	0 (0.4)	0 (0.02)	0 (0.05)	0 (0.16)	0 (4.68)	0 (0.05)	0 (0.26)	0 (0.07)	0 (0.02)	0 (0.07)	0 (0.05)	0 (0.42)	10
Bradford	0 (0.1)	0 (0.01)	0 (0.01)	0 (0.1)	0 (0.01)	0 (0.01)	1 (0.0)	0 (0.01)	0 (0.0)	0 (0.0)	0 (0.0)	0 (0.0)	0 (0.0)	0 (0.0)	0 (0.01)	0 (0.0)	0 (0.01)	0 (0.0)	0 (0.04)	0 (0.0)	0 (0.0)	0 (0.01)	0 (0.0)	0 (0.0)	0 (0.0)	0 (0.0)	0 (0.0)	0 (0.04)	0 (0.0)	0 (0.0)	0 (0.02)	0 (0.47)	0 (0.0)	0 (0.03)	0 (0.01)	0 (0.0)	0 (0.01)	0 (0.0)	0 (0.04)	1
Bucks	0 (0.5)	0 (0.06)	0 (0.05)	0 (0.48)	0 (0.06)	0 (0.07)	0 (0.01)	4 (0.05)	0 (0.01)	0 (0.01)	0 (0.02)	0 (0.02)	0 (0.01)	0 (0.01)	0 (0.05)	0 (0.01)	0 (0.04)	0 (0.01)	0 (0.2)	0 (0.02)	0 (0.02)	0 (0.07)	0 (0.01)	0 (0.01)	0 (0.02)	0 (0.01)	0 (0.02)	0 (0.2)	0 (0.01)	0 (0.02)	0 (0.08)	1 (2.34)	0 (0.02)	0 (0.13)	0 (0.04)	0 (0.01)	0 (0.04)	0 (0.02)	0 (0.21)	5
Butler	0 (0.1)	0 (0.01)	1 (0.01)	0 (0.1)	0 (0.01)	0 (0.01)	0 (0.0)	0 (0.01)	0 (0.0)	0 (0.0)	0 (0.0)	0 (0.0)	0 (0.0)	0 (0.0)	0 (0.01)	0 (0.0)	0 (0.01)	0 (0.0)	0 (0.04)	0 (0.0)	0 (0.0)	0 (0.01)	0 (0.0)	0 (0.0)	0 (0.0)	0 (0.0)	0 (0.0)	0 (0.04)	0 (0.0)	0 (0.0)	0 (0.02)	0 (0.47)	0 (0.0)	0 (0.03)	0 (0.01)	0 (0.0)	0 (0.01)	0 (0.0)	0 (0.04)	1
Carbon	0 (0.1)	0 (0.01)	0 (0.01)	0 (0.1)	0 (0.01)	0 (0.01)	0 (0.0)	0 (0.01)	0 (0.0)	0 (0.0)	0 (0.0)	0 (0.0)	0 (0.0)	0 (0.0)	0 (0.01)	0 (0.0)	0 (0.01)	0 (0.0)	0 (0.04)	0 (0.0)	0 (0.0)	0 (0.01)	0 (0.0)	0 (0.0)	0 (0.0)	0 (0.0)	0 (0.0)	0 (0.04)	0 (0.0)	0 (0.0)	0 (0.02)	1 (0.47)	0 (0.0)	0 (0.03)	0 (0.01)	0 (0.0)	0 (0.01)	0 (0.0)	0 (0.04)	1
Centre	0 (0.2)	0 (0.02)	0 (0.02)	0 (0.19)	0 (0.02)	0 (0.03)	0 (0.0)	0 (0.02)	0 (0.0)	0 (0.0)	1 (0.01)	0 (0.01)	0 (0.0)	0 (0.0)	0 (0.02)	0 (0.0)	0 (0.01)	0 (0.0)	1 (0.08)	0 (0.01)	0 (0.01)	0 (0.03)	0 (0.0)	0 (0.0)	0 (0.01)	0 (0.0)	0 (0.01)	0 (0.08)	0 (0.0)	0 (0.01)	0 (0.03)	0 (0.94)	0 (0.01)	0 (0.05)	0 (0.01)	0 (0.0)	0 (0.01)	0 (0.01)	0 (0.08)	2
Chester	0 (0.2)	0 (0.02)	0 (0.02)	0 (0.19)	0 (0.02)	0 (0.03)	0 (0.0)	0 (0.02)	0 (0.0)	0 (0.0)	0 (0.01)	2 (0.01)	0 (0.0)	0 (0.0)	0 (0.02)	0 (0.0)	0 (0.01)	0 (0.0)	0 (0.08)	0 (0.01)	0 (0.01)	0 (0.03)	0 (0.0)	0 (0.0)	0 (0.01)	0 (0.0)	0 (0.01)	0 (0.08)	0 (0.0)	0 (0.01)	0 (0.03)	0 (0.94)	0 (0.01)	0 (0.05)	0 (0.01)	0 (0.0)	0 (0.01)	0 (0.01)	0 (0.08)	2
Clearfield	0 (0.1)	0 (0.01)	0 (0.01)	0 (0.1)	0 (0.01)	0 (0.01)	0 (0.0)	0 (0.01)	0 (0.0)	1 (0.0)	0 (0.0)	0 (0.0)	0 (0.0)	0 (0.0)	0 (0.01)	0 (0.0)	0 (0.01)	0 (0.0)	0 (0.04)	0 (0.0)	0 (0.0)	0 (0.01)	0 (0.0)	0 (0.0)	0 (0.0)	0 (0.0)	0 (0.0)	0 (0.04)	0 (0.0)	0 (0.0)	0 (0.02)	0 (0.47)	0 (0.0)	0 (0.03)	0 (0.01)	0 (0.0)	0 (0.01)	0 (0.0)	0 (0.04)	1
Clinton	0 (0.1)	0 (0.01)	0 (0.01)	0 (0.1)	0 (0.01)	0 (0.01)	0 (0.0)	0 (0.01)	0 (0.0)	0 (0.0)	0 (0.0)	0 (0.0)	0 (0.0)	0 (0.0)	0 (0.01)	0 (0.0)	0 (0.01)	0 (0.0)	0 (0.04)	0 (0.0)	0 (0.0)	0 (0.01)	0 (0.0)	0 (0.0)	0 (0.0)	0 (0.0)	0 (0.0)	0 (0.04)	0 (0.0)	0 (0.0)	0 (0.02)	0 (0.47)	0 (0.0)	0 (0.03)	1 (0.01)	0 (0.0)	0 (0.01)	0 (0.0)	0 (0.04)	1
Columbia	0 (0.1)	0 (0.01)	0 (0.01)	0 (0.1)	0 (0.01)	0 (0.01)	0 (0.0)	0 (0.01)	0 (0.0)	0 (0.0)	0 (0.0)	0 (0.0)	0 (0.0)	0 (0.0)	0 (0.01)	0 (0.0)	0 (0.01)	0 (0.0)	0 (0.04)	0 (0.0)	0 (0.0)	0 (0.01)	0 (0.0)	0 (0.0)	0 (0.0)	0 (0.0)	0 (0.0)	0 (0.04)	0 (0.0)	0 (0.0)	0 (0.02)	0 (0.47)	0 (0.0)	0 (0.03)	0 (0.01)	0 (0.0)	0 (0.01)	0 (0.0)	1 (0.04)	1
Cumberland	0 (0.1)	0 (0.01)	0 (0.01)	0 (0.1)	0 (0.01)	0 (0.01)	0 (0.0)	0 (0.01)	0 (0.0)	0 (0.0)	0 (0.0)	0 (0.0)	0 (0.0)	0 (0.0)	0 (0.01)	0 (0.0)	0 (0.01)	0 (0.0)	0 (0.04)	0 (0.0)	0 (0.0)	0 (0.01)	0 (0.0)	0 (0.0)	0 (0.0)	0 (0.0)	0 (0.0)	0 (0.04)	0 (0.0)	0 (0.0)	0 (0.02)	1 (0.47)	0 (0.0)	0 (0.03)	0 (0.01)	0 (0.0)	0 (0.01)	0 (0.0)	0 (0.04)	1
Dauphin	0 (0.2)	0 (0.02)	0 (0.02)	0 (0.19)	0 (0.02)	0 (0.03)	0 (0.0)	0 (0.02)	0 (0.0)	0 (0.0)	0 (0.01)	0 (0.01)	0 (0.0)	0 (0.0)	0 (0.02)	0 (0.0)	0 (0.01)	0 (0.0)	0 (0.08)	0 (0.01)	0 (0.01)	0 (0.03)	1 (0.0)	0 (0.0)	0 (0.01)	0 (0.0)	0 (0.01)	0 (0.08)	0 (0.0)	0 (0.01)	0 (0.03)	1 (0.94)	0 (0.01)	0 (0.05)	0 (0.01)	0 (0.0)	0 (0.01)	0 (0.01)	0 (0.08)	2
Delaware	0 (0.5)	0 (0.06)	0 (0.05)	0 (0.48)	0 (0.06)	0 (0.07)	0 (0.01)	0 (0.05)	0 (0.01)	0 (0.01)	0 (0.02)	0 (0.02)	0 (0.01)	0 (0.01)	4 (0.05)	0 (0.01)	0 (0.04)	0 (0.01)	0 (0.2)	0 (0.02)	0 (0.02)	0 (0.07)	0 (0.01)	0 (0.01)	0 (0.02)	0 (0.01)	0 (0.02)	0 (0.2)	0 (0.01)	0 (0.02)	0 (0.08)	1 (2.34)	0 (0.02)	0 (0.13)	0 (0.04)	0 (0.01)	0 (0.04)	0 (0.02)	0 (0.21)	5
Fayette	0 (0.1)	0 (0.01)	0 (0.01)	0 (0.1)	0 (0.01)	0 (0.01)	0 (0.0)	0 (0.01)	0 (0.0)	0 (0.0)	0 (0.0)	0 (0.0)	0 (0.0)	0 (0.0)	0 (0.01)	1 (0.0)	0 (0.01)	0 (0.0)	0 (0.04)	0 (0.0)	0 (0.0)	0 (0.01)	0 (0.0)	0 (0.0)	0 (0.0)	0 (0.0)	0 (0.0)	0 (0.04)	0 (0.0)	0 (0.0)	0 (0.02)	0 (0.47)	0 (0.0)	0 (0.03)	0 (0.01)	0 (0.0)	0 (0.01)	0 (0.0)	0 (0.04)	1
Franklin	0 (0.3)	0 (0.04)	0 (0.03)	0 (0.29)	0 (0.04)	0 (0.04)	0 (0.01)	0 (0.03)	0 (0.01)	0 (0.01)	0 (0.01)	0 (0.01)	0 (0.01)	0 (0.01)	0 (0.03)	0 (0.01)	3 (0.02)	0 (0.01)	0 (0.12)	0 (0.01)	0 (0.01)	0 (0.04)	0 (0.01)	0 (0.01)	0 (0.01)	0 (0.01)	0 (0.01)	0 (0.12)	0 (0.01)	0 (0.01)	0 (0.05)	0 (1.41)	0 (0.01)	0 (0.08)	0 (0.02)	0 (0.01)	0 (0.02)	0 (0.01)	0 (0.13)	3
Fulton	0 (0.1)	0 (0.01)	0 (0.01)	0 (0.1)	0 (0.01)	0 (0.01)	0 (0.0)	0 (0.01)	0 (0.0)	0 (0.0)	0 (0.0)	0 (0.0)	0 (0.0)	0 (0.0)	0 (0.01)	0 (0.0)	0 (0.01)	0 (0.0)	0 (0.04)	0 (0.0)	0 (0.0)	0 (0.01)	0 (0.0)	0 (0.0)	0 (0.0)	0 (0.0)	0 (0.0)	0 (0.04)	0 (0.0)	0 (0.0)	0 (0.02)	0 (0.47)	0 (0.0)	1 (0.03)	0 (0.01)	0 (0.0)	0 (0.01)	0 (0.0)	0 (0.04)	1
Greene	0 (0.1)	0 (0.01)	0 (0.01)	0 (0.1)	0 (0.01)	0 (0.01)	0 (0.0)	0 (0.01)	0 (0.0)	0 (0.0)	0 (0.0)	0 (0.0)	0 (0.0)	0 (0.0)	0 (0.01)	0 (0.0)	0 (0.01)	1 (0.0)	0 (0.04)	0 (0.0)	0 (0.0)	0 (0.01)	0 (0.0)	0 (0.0)	0 (0.0)	0 (0.0)	0 (0.0)	0 (0.04)	0 (0.0)	0 (0.0)	0 (0.02)	0 (0.47)	0 (0.0)	0 (0.03)	0 (0.01)	0 (0.0)	0 (0.01)	0 (0.0)	0 (0.04)	1
Huntingdon	0 (1.41)	0 (0.16)	0 (0.13)	0 (1.34)	0 (0.16)	0 (0.2)	0 (0.03)	0 (0.13)	0 (0.03)	0 (0.03)	1 (0.07)	0 (0.07)	0 (0.03)	0 (0.03)	0 (0.13)	0 (0.03)	0 (0.1)	0 (0.03)	13 (0.56)	0 (0.07)	0 (0.07)	0 (0.2)	0 (0.03)	0 (0.03)	0 (0.07)	0 (0.03)	0 (0.07)	0 (0.56)	0 (0.03)	0 (0.07)	0 (0.23)	0 (6.56)	0 (0.07)	0 (0.36)	0 (0.1)	0 (0.03)	0 (0.1)	0 (0.07)	0 (0.59)	14
Jefferson	0 (0.2)	0 (0.02)	0 (0.02)	0 (0.19)	0 (0.02)	0 (0.03)	0 (0.0)	0 (0.02)	0 (0.0)	0 (0.0)	0 (0.01)	0 (0.01)	0 (0.0)	0 (0.0)	0 (0.02)	0 (0.0)	0 (0.01)	0 (0.0)	0 (0.08)	2 (0.01)	0 (0.01)	0 (0.03)	0 (0.0)	0 (0.0)	0 (0.01)	0 (0.0)	0 (0.01)	0 (0.08)	0 (0.0)	0 (0.01)	0 (0.03)	0 (0.94)	0 (0.01)	0 (0.05)	0 (0.01)	0 (0.0)	0 (0.01)	0 (0.01)	0 (0.08)	2
Juniata	0 (0.1)	0 (0.01)	0 (0.01)	0 (0.1)	0 (0.01)	0 (0.01)	0 (0.0)	0 (0.01)	0 (0.0)	0 (0.0)	0 (0.0)	0 (0.0)	0 (0.0)	0 (0.0)	0 (0.01)	0 (0.0)	0 (0.01)	0 (0.0)	0 (0.04)	0 (0.0)	1 (0.0)	0 (0.01)	0 (0.0)	0 (0.0)	0 (0.0)	0 (0.0)	0 (0.0)	0 (0.04)	0 (0.0)	0 (0.0)	0 (0.02)	0 (0.47)	0 (0.0)	0 (0.03)	0 (0.01)	0 (0.0)	0 (0.01)	0 (0.0)	0 (0.04)	1
Lancaster	0 (0.3)	0 (0.04)	0 (0.03)	0 (0.29)	0 (0.04)	0 (0.04)	0 (0.01)	0 (0.03)	0 (0.01)	0 (0.01)	0 (0.01)	0 (0.01)	0 (0.01)	0 (0.01)	0 (0.03)	0 (0.01)	0 (0.02)	0 (0.01)	0 (0.12)	0 (0.01)	0 (0.01)	3 (0.04)	0 (0.01)	0 (0.01)	0 (0.01)	0 (0.01)	0 (0.01)	0 (0.12)	0 (0.01)	0 (0.01)	0 (0.05)	0 (1.41)	0 (0.01)	0 (0.08)	0 (0.02)	0 (0.01)	0 (0.02)	0 (0.01)	0 (0.13)	3
Lebanon	0 (0.1)	0 (0.01)	0 (0.01)	0 (0.1)	0 (0.01)	0 (0.01)	0 (0.0)	0 (0.01)	0 (0.0)	0 (0.0)	0 (0.0)	0 (0.0)	0 (0.0)	0 (0.0)	0 (0.01)	0 (0.0)	0 (0.01)	0 (0.0)	0 (0.04)	0 (0.0)	0 (0.0)	1 (0.01)	0 (0.0)	0 (0.0)	0 (0.0)	0 (0.0)	0 (0.0)	0 (0.04)	0 (0.0)	0 (0.0)	0 (0.02)	0 (0.47)	0 (0.0)	0 (0.03)	0 (0.01)	0 (0.0)	0 (0.01)	0 (0.0)	0 (0.04)	1
Luzerne	0 (0.2)	0 (0.02)	0 (0.02)	0 (0.19)	0 (0.02)	0 (0.03)	0 (0.0)	0 (0.02)	0 (0.0)	0 (0.0)	0 (0.01)	0 (0.01)	0 (0.0)	0 (0.0)	0 (0.02)	0 (0.0)	0 (0.01)	0 (0.0)	0 (0.08)	0 (0.01)	0 (0.01)	0 (0.03)	0 (0.0)	1 (0.0)	0 (0.01)	0 (0.0)	1 (0.01)	0 (0.08)	0 (0.0)	0 (0.01)	0 (0.03)	0 (0.94)	0 (0.01)	0 (0.05)	0 (0.01)	0 (0.0)	0 (0.01)	0 (0.01)	0 (0.08)	2
Lycoming	0 (0.2)	0 (0.02)	0 (0.02)	0 (0.19)	0 (0.02)	0 (0.03)	0 (0.0)	0 (0.02)	0 (0.0)	0 (0.0)	0 (0.01)	0 (0.01)	0 (0.0)	0 (0.0)	0 (0.02)	0 (0.0)	0 (0.01)	0 (0.0)	0 (0.08)	0 (0.01)	1 (0.01)	0 (0.03)	0 (0.0)	0 (0.0)	1 (0.01)	0 (0.0)	0 (0.01)	0 (0.08)	0 (0.0)	0 (0.01)	0 (0.03)	0 (0.94)	0 (0.01)	0 (0.05)	0 (0.01)	0 (0.0)	0 (0.01)	0 (0.01)	0 (0.08)	2
Mercer	0 (0.2)	0 (0.02)	0 (0.02)	0 (0.19)	0 (0.02)	0 (0.03)	0 (0.0)	0 (0.02)	1 (0.0)	0 (0.0)	0 (0.01)	0 (0.01)	0 (0.0)	0 (0.0)	0 (0.02)	0 (0.0)	0 (0.01)	0 (0.0)	0 (0.08)	0 (0.01)	0 (0.01)	0 (0.03)	0 (0.0)	0 (0.0)	0 (0.01)	1 (0.0)	0 (0.01)	0 (0.08)	0 (0.0)	0 (0.01)	0 (0.03)	0 (0.94)	0 (0.01)	0 (0.05)	0 (0.01)	0 (0.0)	0 (0.01)	0 (0.01)	0 (0.08)	2
Monroe	0 (0.1)	0 (0.01)	0 (0.01)	0 (0.1)	0 (0.01)	0 (0.01)	0 (0.0)	0 (0.01)	0 (0.0)	0 (0.0)	0 (0.0)	0 (0.0)	0 (0.0)	0 (0.0)	0 (0.01)	0 (0.0)	0 (0.01)	0 (0.0)	0 (0.04)	0 (0.0)	0 (0.0)	0 (0.01)	0 (0.0)	0 (0.0)	0 (0.0)	0 (0.0)	1 (0.0)	0 (0.04)	0 (0.0)	0 (0.0)	0 (0.02)	0 (0.47)	0 (0.0)	0 (0.03)	0 (0.01)	0 (0.0)	0 (0.01)	0 (0.0)	0 (0.04)	1
Montgomery	0 (1.41)	0 (0.16)	0 (0.13)	0 (1.34)	0 (0.16)	0 (0.2)	0 (0.03)	0 (0.13)	0 (0.03)	0 (0.03)	0 (0.07)	0 (0.07)	0 (0.03)	0 (0.03)	0 (0.13)	0 (0.03)	0 (0.1)	0 (0.03)	0 (0.56)	0 (0.07)	0 (0.07)	0 (0.2)	0 (0.03)	0 (0.03)	0 (0.07)	0 (0.03)	0 (0.07)	11 (0.56)	0 (0.03)	0 (0.07)	0 (0.23)	3 (6.56)	0 (0.07)	0 (0.36)	0 (0.1)	0 (0.03)	0 (0.1)	0 (0.07)	0 (0.59)	14
Montour	0 (0.1)	0 (0.01)	0 (0.01)	0 (0.1)	0 (0.01)	0 (0.01)	0 (0.0)	0 (0.01)	0 (0.0)	0 (0.0)	0 (0.0)	0 (0.0)	0 (0.0)	0 (0.0)	0 (0.01)	0 (0.0)	0 (0.01)	0 (0.0)	0 (0.04)	0 (0.0)	0 (0.0)	0 (0.01)	0 (0.0)	0 (0.0)	0 (0.0)	0 (0.0)	0 (0.0)	0 (0.04)	1 (0.0)	0 (0.0)	0 (0.02)	0 (0.47)	0 (0.0)	0 (0.03)	0 (0.01)	0 (0.0)	0 (0.01)	0 (0.0)	0 (0.04)	1
Northampton	0 (0.4)	0 (0.05)	0 (0.04)	0 (0.38)	1 (0.05)	0 (0.06)	0 (0.01)	0 (0.04)	0 (0.01)	0 (0.01)	0 (0.02)	0 (0.02)	0 (0.01)	0 (0.01)	0 (0.04)	0 (0.01)	0 (0.03)	0 (0.01)	0 (0.16)	0 (0.02)	0 (0.02)	0 (0.06)	0 (0.01)	0 (0.01)	0 (0.02)	0 (0.01)	0 (0.02)	0 (0.16)	0 (0.01)	2 (0.02)	0 (0.07)	1 (1.87)	0 (0.02)	0 (0.1)	0 (0.03)	0 (0.01)	0 (0.03)	0 (0.02)	0 (0.17)	4
Northumberland	0 (0.6)	0 (0.07)	0 (0.06)	0 (0.58)	0 (0.07)	0 (0.08)	0 (0.01)	0 (0.06)	0 (0.01)	0 (0.01)	0 (0.03)	0 (0.03)	0 (0.01)	0 (0.01)	0 (0.06)	0 (0.01)	0 (0.04)	0 (0.01)	0 (0.24)	0 (0.03)	0 (0.03)	0 (0.08)	0 (0.01)	0 (0.01)	0 (0.03)	0 (0.01)	0 (0.03)	0 (0.24)	0 (0.01)	0 (0.03)	6 (0.1)	0 (2.81)	0 (0.03)	0 (0.15)	0 (0.04)	0 (0.01)	0 (0.04)	0 (0.03)	0 (0.25)	6
Perry	0 (0.1)	0 (0.01)	0 (0.01)	0 (0.1)	0 (0.01)	0 (0.01)	0 (0.0)	0 (0.01)	0 (0.0)	0 (0.0)	0 (0.0)	0 (0.0)	0 (0.0)	1 (0.0)	0 (0.01)	0 (0.0)	0 (0.01)	0 (0.0)	0 (0.04)	0 (0.0)	0 (0.0)	0 (0.01)	0 (0.0)	0 (0.0)	0 (0.0)	0 (0.0)	0 (0.0)	0 (0.04)	0 (0.0)	0 (0.0)	0 (0.02)	0 (0.47)	0 (0.0)	0 (0.03)	0 (0.01)	0 (0.0)	0 (0.01)	0 (0.0)	0 (0.04)	1
Philadelphia	0 (18.53)	0 (2.15)	0 (1.72)	0 (17.67)	0 (2.15)	0 (2.59)	0 (0.43)	0 (1.72)	0 (0.43)	0 (0.43)	0 (0.86)	0 (0.86)	0 (0.43)	0 (0.43)	0 (1.72)	0 (0.43)	0 (1.29)	0 (0.43)	0 (7.33)	0 (0.86)	0 (0.86)	0 (2.59)	0 (0.43)	0 (0.43)	0 (0.86)	0 (0.43)	0 (0.86)	4 (7.33)	0 (0.43)	0 (0.86)	0 (3.02)	177 (86.18)	0 (0.86)	0 (4.74)	0 (1.29)	0 (0.43)	0 (1.29)	0 (0.86)	3 (7.76)	184
Potter	0 (0.1)	0 (0.01)	0 (0.01)	0 (0.1)	0 (0.01)	0 (0.01)	0 (0.0)	0 (0.01)	0 (0.0)	0 (0.0)	0 (0.0)	0 (0.0)	0 (0.0)	0 (0.0)	0 (0.01)	0 (0.0)	0 (0.01)	0 (0.0)	0 (0.04)	0 (0.0)	0 (0.0)	0 (0.01)	0 (0.0)	0 (0.0)	0 (0.0)	0 (0.0)	0 (0.0)	0 (0.04)	0 (0.0)	0 (0.0)	0 (0.02)	0 (0.47)	0 (0.0)	0 (0.03)	1 (0.01)	0 (0.0)	0 (0.01)	0 (0.0)	0 (0.04)	1
Schuylkill	0 (0.2)	0 (0.02)	0 (0.02)	0 (0.19)	0 (0.02)	0 (0.03)	0 (0.0)	0 (0.02)	0 (0.0)	0 (0.0)	0 (0.01)	0 (0.01)	0 (0.0)	0 (0.0)	0 (0.02)	0 (0.0)	0 (0.01)	0 (0.0)	0 (0.08)	0 (0.01)	0 (0.01)	0 (0.03)	0 (0.0)	0 (0.0)	0 (0.01)	0 (0.0)	0 (0.01)	0 (0.08)	0 (0.0)	0 (0.01)	0 (0.03)	0 (0.94)	2 (0.01)	0 (0.05)	0 (0.01)	0 (0.0)	0 (0.01)	0 (0.01)	0 (0.08)	2
Somerset	0 (0.91)	0 (0.11)	0 (0.08)	0 (0.86)	0 (0.11)	0 (0.13)	0 (0.02)	0 (0.08)	0 (0.02)	0 (0.02)	0 (0.04)	0 (0.04)	0 (0.02)	0 (0.02)	0 (0.08)	0 (0.02)	0 (0.06)	0 (0.02)	0 (0.36)	0 (0.04)	0 (0.04)	0 (0.13)	0 (0.02)	0 (0.02)	0 (0.04)	0 (0.02)	0 (0.04)	0 (0.36)	0 (0.02)	0 (0.04)	0 (0.15)	0 (4.22)	0 (0.04)	9 (0.23)	0 (0.06)	0 (0.02)	0 (0.06)	0 (0.04)	0 (0.38)	9
Tioga	0 (0.1)	0 (0.01)	0 (0.01)	0 (0.1)	0 (0.01)	0 (0.01)	0 (0.0)	0 (0.01)	0 (0.0)	0 (0.0)	0 (0.0)	0 (0.0)	0 (0.0)	0 (0.0)	0 (0.01)	0 (0.0)	0 (0.01)	0 (0.0)	0 (0.04)	0 (0.0)	0 (0.0)	0 (0.01)	0 (0.0)	0 (0.0)	0 (0.0)	0 (0.0)	0 (0.0)	0 (0.04)	0 (0.0)	0 (0.0)	0 (0.02)	0 (0.47)	0 (0.0)	0 (0.03)	1 (0.01)	0 (0.0)	0 (0.01)	0 (0.0)	0 (0.04)	1
Venango	0 (0.1)	0 (0.01)	0 (0.01)	0 (0.1)	0 (0.01)	0 (0.01)	0 (0.0)	0 (0.01)	0 (0.0)	0 (0.0)	0 (0.0)	0 (0.0)	0 (0.0)	0 (0.0)	0 (0.01)	0 (0.0)	0 (0.01)	0 (0.0)	0 (0.04)	0 (0.0)	0 (0.0)	0 (0.01)	0 (0.0)	0 (0.0)	0 (0.0)	0 (0.0)	0 (0.0)	0 (0.04)	0 (0.0)	0 (0.0)	0 (0.02)	1 (0.47)	0 (0.0)	0 (0.03)	0 (0.01)	0 (0.0)	0 (0.01)	0 (0.0)	0 (0.04)	1
Westmoreland	0 (0.3)	0 (0.04)	0 (0.03)	0 (0.29)	0 (0.04)	0 (0.04)	0 (0.01)	0 (0.03)	0 (0.01)	0 (0.01)	0 (0.01)	0 (0.01)	0 (0.01)	0 (0.01)	0 (0.03)	0 (0.01)	0 (0.02)	0 (0.01)	0 (0.12)	0 (0.01)	0 (0.01)	0 (0.04)	0 (0.01)	0 (0.01)	0 (0.01)	0 (0.01)	0 (0.01)	0 (0.12)	0 (0.01)	0 (0.01)	0 (0.05)	0 (1.41)	0 (0.01)	1 (0.08)	0 (0.02)	0 (0.01)	2 (0.02)	0 (0.01)	0 (0.13)	3
York	0 (0.1)	0 (0.01)	0 (0.01)	0 (0.1)	0 (0.01)	0 (0.01)	0 (0.0)	0 (0.01)	0 (0.0)	0 (0.0)	0 (0.0)	0 (0.0)	0 (0.0)	0 (0.0)	0 (0.01)	0 (0.0)	0 (0.01)	0 (0.0)	0 (0.04)	0 (0.0)	0 (0.0)	0 (0.01)	0 (0.0)	0 (0.0)	0 (0.0)	0 (0.0)	0 (0.0)	0 (0.04)	0 (0.0)	0 (0.0)	0 (0.02)	0 (0.47)	0 (0.0)	0 (0.03)	0 (0.01)	0 (0.0)	0 (0.01)	1 (0.0)	0 (0.04)	1
not Pennsylvania	3 (4.13)	0 (0.48)	0 (0.38)	4 (3.94)	1 (0.48)	0 (0.58)	0 (0.1)	0 (0.38)	0 (0.1)	0 (0.1)	0 (0.19)	0 (0.19)	0 (0.1)	0 (0.1)	0 (0.38)	0 (0.1)	0 (0.29)	0 (0.1)	1 (1.63)	0 (0.19)	0 (0.19)	2 (0.58)	0 (0.1)	0 (0.1)	1 (0.19)	0 (0.1)	0 (0.19)	2 (1.63)	0 (0.1)	0 (0.19)	1 (0.67)	13 (19.2)	0 (0.19)	0 (1.06)	0 (0.29)	1 (0.1)	0 (0.29)	0 (0.19)	12 (1.73)	41
total	43	5	4	41	5	6	1	4	1	1	2	2	1	1	4	1	3	1	17	2	2	6	1	1	2	1	2	17	1	2	7	200	2	11	3	1	3	2	18	427

chi square wasn't calculated because 1744 expected values were less than 5

Found 1870 census entry

can't identify	32	1.6%
found	630	30.6%
not checked	1250	60.7%
not found	149	7.2%

Person found in 1870 census

soldier	561	89.0%
widow	69	11.0%

State living in, in 1870 census

California	1	0.2%
Colorado	1	0.2%
Connecticut	1	0.2%
Delaware	2	0.3%
Illinois	9	1.4%
Indiana	1	0.2%
Iowa	3	0.5%
Kansas	2	0.3%
Kentucky	1	0.2%
Maine	1	0.2%
Maryland	10	1.6%
Massachusetts	2	0.3%
Michigan	2	0.3%
Mississippi	1	0.2%
Missouri	3	0.5%
Nebraska	1	0.2%
New Jersey	14	2.2%
New York	4	0.6%
Ohio	4	0.6%
Pennsylvania	556	88.3%
Rhode Island	1	0.2%
Texas	4	0.6%
Washington, District of Columbia	3	0.5%
West Virginia	1	0.2%
Wisconsin	1	0.2%
Wyoming Territory	1	0.2%

State living in, in 1870 census, by state in 1880 census

	California	Dakota Territory	Delaware	Illinois	Indiana	Iowa	Kansas	Kentucky	Maine	Maryland	Massachusetts	Mississippi	Missouri	New Jersey	New York	Ohio	Pennsylvania	Texas	Virginia	Washington, District of Columbia	West Virginia	Wisconsin	total
California	1 (0.01)	0 (0.0)	0 (0.0)	0 (0.01)	0 (0.0)	0 (0.01)	0 (0.01)	0 (0.0)	0 (0.0)	0 (0.02)	0 (0.01)	0 (0.0)	0 (0.01)	0 (0.02)	0 (0.01)	0 (0.01)	0 (0.87)	0 (0.0)	0 (0.0)	0 (0.0)	0 (0.01)	0 (0.0)	1
Connecticut	0 (0.01)	0 (0.0)	0 (0.0)	0 (0.01)	0 (0.0)	0 (0.01)	0 (0.01)	0 (0.0)	0 (0.0)	0 (0.02)	1 (0.01)	0 (0.0)	0 (0.01)	0 (0.02)	0 (0.01)	0 (0.01)	0 (0.87)	0 (0.0)	0 (0.0)	0 (0.0)	0 (0.01)	0 (0.0)	1
Delaware	0 (0.01)	0 (0.0)	0 (0.01)	0 (0.02)	0 (0.0)	0 (0.02)	0 (0.02)	0 (0.0)	0 (0.0)	0 (0.03)	0 (0.01)	0 (0.0)	0 (0.03)	1 (0.03)	0 (0.01)	0 (0.02)	1 (1.74)	0 (0.01)	0 (0.0)	0 (0.01)	0 (0.01)	0 (0.01)	2
Illinois	0 (0.04)	0 (0.01)	0 (0.03)	4 (0.07)	0 (0.01)	1 (0.07)	0 (0.05)	0 (0.01)	0 (0.01)	0 (0.11)	0 (0.04)	0 (0.01)	2 (0.09)	0 (0.12)	0 (0.04)	0 (0.07)	0 (6.09)	0 (0.03)	0 (0.01)	0 (0.03)	0 (0.04)	0 (0.03)	7
Indiana	0 (0.01)	0 (0.0)	0 (0.0)	0 (0.01)	1 (0.0)	0 (0.01)	0 (0.01)	0 (0.0)	0 (0.0)	0 (0.02)	0 (0.01)	0 (0.0)	0 (0.01)	0 (0.02)	0 (0.01)	0 (0.01)	0 (0.87)	0 (0.0)	0 (0.0)	0 (0.0)	0 (0.01)	0 (0.0)	1
Iowa	0 (0.02)	0 (0.01)	0 (0.01)	0 (0.03)	0 (0.01)	3 (0.03)	0 (0.02)	0 (0.01)	0 (0.01)	0 (0.05)	0 (0.02)	0 (0.01)	0 (0.04)	0 (0.05)	0 (0.02)	0 (0.03)	0 (2.61)	0 (0.01)	0 (0.01)	0 (0.01)	0 (0.02)	0 (0.01)	3
Kansas	0 (0.01)	0 (0.0)	0 (0.0)	0 (0.01)	0 (0.0)	0 (0.01)	1 (0.01)	0 (0.0)	0 (0.0)	0 (0.02)	0 (0.01)	0 (0.0)	0 (0.01)	0 (0.02)	0 (0.01)	0 (0.01)	0 (0.87)	0 (0.0)	0 (0.0)	0 (0.0)	0 (0.01)	0 (0.0)	1
Kentucky	0 (0.01)	0 (0.0)	0 (0.0)	0 (0.01)	0 (0.0)	0 (0.01)	0 (0.01)	1 (0.0)	0 (0.0)	0 (0.02)	0 (0.01)	0 (0.0)	0 (0.01)	0 (0.02)	0 (0.01)	0 (0.01)	0 (0.87)	0 (0.0)	0 (0.0)	0 (0.0)	0 (0.01)	0 (0.0)	1
Maine	0 (0.01)	0 (0.0)	0 (0.0)	0 (0.01)	0 (0.0)	0 (0.01)	0 (0.01)	0 (0.0)	1 (0.0)	0 (0.02)	0 (0.01)	0 (0.0)	0 (0.01)	0 (0.02)	0 (0.01)	0 (0.01)	0 (0.87)	0 (0.0)	0 (0.0)	0 (0.0)	0 (0.01)	0 (0.0)	1
Maryland	0 (0.04)	0 (0.01)	0 (0.03)	0 (0.07)	0 (0.01)	0 (0.07)	0 (0.05)	0 (0.01)	0 (0.01)	6 (0.11)	0 (0.04)	0 (0.01)	0 (0.09)	0 (0.12)	0 (0.04)	0 (0.07)	1 (6.09)	0 (0.03)	0 (0.01)	0 (0.03)	0 (0.04)	0 (0.03)	7
Massachusetts	0 (0.01)	0 (0.0)	0 (0.01)	0 (0.02)	0 (0.0)	0 (0.02)	0 (0.02)	0 (0.0)	0 (0.0)	0 (0.03)	2 (0.01)	0 (0.0)	0 (0.03)	0 (0.03)	0 (0.01)	0 (0.02)	0 (1.74)	0 (0.01)	0 (0.0)	0 (0.01)	0 (0.01)	0 (0.01)	2
Mississippi	0 (0.01)	0 (0.0)	0 (0.0)	0 (0.01)	0 (0.0)	0 (0.01)	0 (0.01)	0 (0.0)	0 (0.0)	0 (0.02)	0 (0.01)	1 (0.0)	0 (0.01)	0 (0.02)	0 (0.01)	0 (0.01)	0 (0.87)	0 (0.0)	0 (0.0)	0 (0.0)	0 (0.01)	0 (0.0)	1
Missouri	0 (0.02)	0 (0.01)	0 (0.01)	0 (0.03)	0 (0.01)	0 (0.03)	0 (0.02)	0 (0.01)	0 (0.01)	0 (0.05)	0 (0.02)	0 (0.01)	2 (0.04)	0 (0.05)	0 (0.02)	0 (0.03)	1 (2.61)	0 (0.01)	0 (0.01)	0 (0.01)	0 (0.02)	0 (0.01)	3
Nebraska	0 (0.01)	0 (0.0)	0 (0.0)	0 (0.01)	0 (0.0)	0 (0.01)	0 (0.01)	0 (0.0)	0 (0.0)	0 (0.02)	0 (0.01)	0 (0.0)	0 (0.01)	0 (0.02)	0 (0.01)	0 (0.01)	0 (0.87)	0 (0.0)	0 (0.0)	0 (0.0)	0 (0.01)	1 (0.0)	1
New Jersey	0 (0.07)	0 (0.02)	0 (0.05)	0 (0.11)	0 (0.02)	1 (0.11)	0 (0.09)	0 (0.02)	0 (0.02)	1 (0.18)	0 (0.07)	0 (0.02)	0 (0.16)	6 (0.2)	0 (0.07)	0 (0.11)	4 (10.43)	0 (0.05)	0 (0.02)	0 (0.05)	0 (0.07)	0 (0.05)	12
New York	0 (0.02)	0 (0.01)	0 (0.01)	0 (0.03)	0 (0.01)	0 (0.03)	0 (0.02)	0 (0.01)	0 (0.01)	0 (0.05)	0 (0.02)	0 (0.01)	0 (0.04)	0 (0.05)	2 (0.02)	0 (0.03)	1 (2.61)	0 (0.01)	0 (0.01)	0 (0.01)	0 (0.02)	0 (0.01)	3
Ohio	0 (0.01)	0 (0.0)	0 (0.01)	0 (0.02)	0 (0.0)	0 (0.02)	0 (0.02)	0 (0.0)	0 (0.0)	0 (0.03)	0 (0.01)	0 (0.0)	0 (0.03)	0 (0.03)	0 (0.01)	2 (0.02)	0 (1.74)	0 (0.01)	0 (0.0)	0 (0.01)	0 (0.01)	0 (0.01)	2
Pennsylvania	2 (2.67)	0 (0.89)	2 (1.78)	1 (4.44)	0 (0.89)	0 (4.44)	3 (3.55)	0 (0.89)	0 (0.89)	1 (7.11)	0 (2.67)	0 (0.89)	3 (6.22)	2 (8.0)	1 (2.67)	3 (4.44)	449 (408.7)	0 (1.78)	1 (0.89)	0 (1.78)	2 (2.67)	0 (1.78)	470
Rhode Island	0 (0.01)	0 (0.0)	0 (0.0)	0 (0.01)	0 (0.0)	0 (0.01)	0 (0.01)	0 (0.0)	0 (0.0)	0 (0.02)	0 (0.01)	0 (0.0)	0 (0.01)	0 (0.02)	0 (0.01)	0 (0.01)	1 (0.87)	0 (0.0)	0 (0.0)	0 (0.0)	0 (0.01)	0 (0.0)	1
Texas	0 (0.02)	0 (0.01)	0 (0.02)	0 (0.04)	0 (0.01)	0 (0.04)	0 (0.03)	0 (0.01)	0 (0.01)	0 (0.06)	0 (0.02)	0 (0.01)	0 (0.05)	0 (0.07)	0 (0.02)	0 (0.04)	2 (3.48)	2 (0.02)	0 (0.01)	0 (0.02)	0 (0.02)	0 (0.02)	4
Washington, District of Columbia	0 (0.01)	0 (0.0)	0 (0.01)	0 (0.02)	0 (0.0)	0 (0.02)	0 (0.02)	0 (0.0)	0 (0.0)	0 (0.03)	0 (0.01)	0 (0.0)	0 (0.03)	0 (0.03)	0 (0.01)	0 (0.02)	0 (1.74)	0 (0.01)	0 (0.0)	2 (0.01)	0 (0.01)	0 (0.01)	2
West Virginia	0 (0.01)	0 (0.0)	0 (0.0)	0 (0.01)	0 (0.0)	0 (0.01)	0 (0.01)	0 (0.0)	0 (0.0)	0 (0.02)	0 (0.01)	0 (0.0)	0 (0.01)	0 (0.02)	0 (0.01)	0 (0.01)	0 (0.87)	0 (0.0)	0 (0.0)	0 (0.0)	1 (0.01)	0 (0.0)	1
Wisconsin	0 (0.01)	0 (0.0)	0 (0.0)	0 (0.01)	0 (0.0)	0 (0.01)	0 (0.01)	0 (0.0)	0 (0.0)	0 (0.02)	0 (0.01)	0 (0.0)	0 (0.01)	0 (0.02)	0 (0.01)	0 (0.01)	0 (0.87)	0 (0.0)	0 (0.0)	0 (0.0)	0 (0.01)	1 (0.0)	1
Wyoming Territory	0 (0.01)	1 (0.0)	0 (0.0)	0 (0.01)	0 (0.0)	0 (0.01)	0 (0.01)	0 (0.0)	0 (0.0)	0 (0.02)	0 (0.01)	0 (0.0)	0 (0.01)	0 (0.02)	0 (0.01)	0 (0.01)	0 (0.87)	0 (0.0)	0 (0.0)	0 (0.0)	0 (0.01)	0 (0.0)	1
total	3	1	2	5	1	5	4	1	1	8	3	1	7	9	3	5	460	2	1	2	3	2	529

chi square wasn't calculated because 521 expected values were less than 5

Living in same state in 1870 and 1880 censuses (limited to people found in both)

different state	41	7.8%
same state	488	92.2%

Real property value in 1870

	20	3.3%
0	410	68.2%
100	2	0.3%
1000	20	3.3%
10000	1	0.2%
1050	1	0.2%
1100	1	0.2%
1200	3	0.5%
12500	1	0.2%
1300	4	0.7%
1400	2	0.3%
150	1	0.2%
1500	5	0.8%
15000	2	0.3%
1600	2	0.3%
1750	1	0.2%
1800	8	1.3%
1900	1	0.2%
200	6	1.0%
2000	23	3.8%
2200	1	0.2%
225	1	0.2%
2400	1	0.2%
2450	1	0.2%
250	1	0.2%
2500	9	1.5%
2700	2	0.3%
2800	2	0.3%
300	1	0.2%
3000	6	1.0%
350	1	0.2%
3500	4	0.7%
360	1	0.2%
400	4	0.7%
4000	4	0.7%
4250	1	0.2%
4500	4	0.7%
500	13	2.2%
5000	2	0.3%
5300	1	0.2%
550	2	0.3%
600	4	0.7%
6000	4	0.7%
6500	1	0.2%
6600	1	0.2%
700	5	0.8%
750	2	0.3%
800	4	0.7%
8000	1	0.2%
8500	1	0.2%
900	1	0.2%
9000	1	0.2%
[unknown]	29	%

Personal property value in 1870

	20	3.3%
0	246	40.9%
100	44	7.3%
1000	18	3.0%
1100	3	0.5%
1102	1	0.2%
1200	1	0.2%
125	3	0.5%
1400	1	0.2%
150	23	3.8%
1500	6	1.0%
1550	1	0.2%
1600	1	0.2%
1650	1	0.2%
175	2	0.3%
1760	1	0.2%
1770	1	0.2%
1800	1	0.2%
1850	1	0.2%
200	55	9.2%
2000	3	0.5%
210	1	0.2%
2200	2	0.3%
2218	1	0.2%
225	1	0.2%
250	8	1.3%
2500	2	0.3%
2700	1	0.2%
290	1	0.2%
300	44	7.3%
3000	3	0.5%
3040	1	0.2%
325	1	0.2%
340	2	0.3%
350	2	0.3%
400	17	2.8%
4000	3	0.5%
415	1	0.2%
435	1	0.2%
450	1	0.2%
475	1	0.2%
500	30	5.0%
5000	3	0.5%
580	1	0.2%
590	2	0.3%
600	8	1.3%
6000	2	0.3%
650	2	0.3%
675	1	0.2%
700	10	1.7%
7000	1	0.2%
725	1	0.2%
740	1	0.2%
800	8	1.3%
860	1	0.2%
900	2	0.3%
950	1	0.2%
[unknown]	29	%

Occupation in 1870

PO clerk	1	0.2%
US Marshal for the Eastern District of Pennsylvania	1	0.2%
US watchman	1	0.2%
[blank; probably none]	98	15.6%
artificial tooth maker	1	0.2%
at school	1	0.2%
attends gas meters	1	0.2%
attorney at law	1	0.2%
baker	3	0.5%
bank clerk	1	0.2%
barber	1	0.2%
barber [?]	1	0.2%
beer saloon	1	0.2%
blacksmith	9	1.4%
boating on canal	1	0.2%
boatman	1	0.2%
bookbinder	3	0.5%
brakeman on car	1	0.2%
brass finisher	1	0.2%
bricklayer	3	0.5%
brickmaker	6	1.0%
brickmason	2	0.3%
broker clerk	1	0.2%
butcher	4	0.6%
cabinet maker	2	0.3%
car driver	1	0.2%
carpenter	28	4.4%
carpet weaver	4	0.6%
carter	1	0.2%
chair makers apprentice	1	0.2%
cigarmaker	2	0.3%
clergyman	2	0.3%
clerk	2	0.3%
clerk (factory)	1	0.2%
clerk War Dept	1	0.2%
clerk at Alms H	1	0.2%
clerk at furnace	1	0.2%
clerk at r r office	1	0.2%
clerk bank	1	0.2%
clerk in china store	1	0.2%
clerk in factory	1	0.2%
clerk in gen con store	1	0.2%
clerk in grocery store	1	0.2%
clerk in office	1	0.2%
clerk in store	5	0.8%
coach builder	1	0.2%
coach painter	3	0.5%
coachmaker	1	0.2%
coal dealer	1	0.2%
coal miner	2	0.3%
collier	1	0.2%
combmaker	1	0.2%
confectioner	2	0.3%
constable	1	0.2%
cook	1	0.2%
cotton weaver	1	0.2%
crier of District Court	1	0.2%
day laborer	6	1.0%
deals in ice	1	0.2%
druggist	1	0.2%
dry goods clerk	1	0.2%
dry goods dealer	1	0.2%
dry goods merchant	1	0.2%
engine builder	1	0.2%
engineer	1	0.2%
engineer at well	1	0.2%
farm labor	6	1.0%
farm laborer	24	3.8%
farmer	70	11.1%
farmhand	1	0.2%
farming	1	0.2%
fire brick maker	1	0.2%
fire insurance agent	1	0.2%
fireman (gas w)	1	0.2%
fireman gas works	1	0.2%
fisherman	2	0.3%
founder	1	0.2%
gardener	1	0.2%
gilder	1	0.2%
glass blower	8	1.3%
grinder	1	0.2%
grocer	4	0.6%
grocery	1	0.2%
hardware	1	0.2%
hatter [?]	1	0.2%
hostler	1	0.2%
house and sign painter	1	0.2%
house carp jour	1	0.2%
house carpenter	5	0.8%
house painter	6	1.0%
huckster	1	0.2%
huckster and farmer	1	0.2%
iron bridge builder	1	0.2%
iron moulder	1	0.2%
jeweller	1	0.2%
journ h painter	1	0.2%
journeyman plasterer	1	0.2%
journeyman tailor	1	0.2%
justice of peace	2	0.3%
keeps tavern	1	0.2%
l shoe maker	1	0.2%
labor on farm	2	0.3%
laborer	53	8.4%
laborer at mines	1	0.2%
laborer on farm	1	0.2%
laboring in farm	1	0.2%
laboring on farm	1	0.2%
lawyer	1	0.2%
letter carrier	1	0.2%
lime burner	2	0.3%
loom boss (in mill)	1	0.2%
lumberman	1	0.2%
machine manufacturer	1	0.2%
manuf. ranges	1	0.2%
mariner	2	0.3%
mason	1	0.2%
merchant	2	0.3%
milk dealer	1	0.2%
miller	2	0.3%
millwright	2	0.3%
miner	2	0.3%
morocco dresser	1	0.2%
morocco finisher	1	0.2%
moulder	1	0.2%
no oc	1	0.2%
nobler	1	0.2%
ore miner	2	0.3%
organ manufac	1	0.2%
overseer at lime quarry	1	0.2%
paint-manf	1	0.2%
painter	9	1.4%
paperhanger	5	0.8%
pattern maker	1	0.2%
pawnbroker	1	0.2%
photographer	1	0.2%
physician	4	0.6%
plasterer	5	0.8%
policeman	1	0.2%
polisher of edge tools	1	0.2%
postmaster	1	0.2%
printer	3	0.5%
private [sc. soldier]	1	0.2%
professor of French and drawing and painting	1	0.2%
provision dealer	1	0.2%
r grocer	1	0.2%
r r laborer	3	0.5%
range builder	1	0.2%
ret liquor dealer	1	0.2%
ret of dry goods	1	0.2%
retail grocer	1	0.2%
retail hardware store	1	0.2%
ropemaker	1	0.2%
saddler	2	0.3%
sailor	1	0.2%
salesman tea coffee etc.	1	0.2%
sawyer	1	0.2%
seaman	1	0.2%
segar maker	1	0.2%
serves milk	1	0.2%
shingle maker	1	0.2%
ship joiner	1	0.2%
shoe cutter	1	0.2%
shoe heeler	1	0.2%
shoemaker	7	1.1%
sign painter	1	0.2%
silversmith	1	0.2%
slater	1	0.2%
soap factory	1	0.2%
soldier	1	0.2%
stage driver	1	0.2%
steamfitter	1	0.2%
stone cutter	4	0.6%
stone mason	10	1.6%
street car conductor	1	0.2%
switch man on rr	1	0.2%
switch tender	1	0.2%
tablecloth weaver	1	0.2%
tailor	6	1.0%
teacher	1	0.2%
teamster	5	0.8%
telegraph operator	1	0.2%
theological student	1	0.2%
tin roofer	2	0.3%
tinsmith	1	0.2%
tobacconist	1	0.2%
toll gate keeper	1	0.2%
upholsterer	1	0.2%
varnisher	1	0.2%
wagon driver	1	0.2%
wagonmaker	1	0.2%
watchmaker	1	0.2%
watchman	5	0.8%
weaver	1	0.2%
woollen warper	1	0.2%
work at factory	1	0.2%
work in cotton mill	1	0.2%
work in tannery	1	0.2%
works at blacksmithy	1	0.2%
works at boat building	1	0.2%
works at carpentering	1	0.2%
works in Boiler Works	1	0.2%
works in Navy Yard	1	0.2%
works in a brewery	1	0.2%
works in blacksmith shop	1	0.2%
works in brick yard	1	0.2%
works in cloth factory	1	0.2%
works in cot mill	1	0.2%
works in cott mill	1	0.2%
works in cotton fac	1	0.2%
works in distillery	1	0.2%
works in factory	1	0.2%
works in foundry	2	0.3%
works in gas house	1	0.2%
works in gas works	1	0.2%
works in glass factory	1	0.2%
works in iron ore mine	1	0.2%
works in mill	1	0.2%
works in paper mill	1	0.2%
works in pottery	1	0.2%
works in saw mill	2	0.3%
works in shovel factory	1	0.2%
works in woollen factory	1	0.2%
works on farm	5	0.8%

Occupation class in 1870

Artisans	161	32.1%
Manual laborers	122	24.4%
Not in labor force	3	0.6%
Professionals and large proprietors	21	4.2%
Semi-professionals and smaller proprietors	137	27.3%
Service and semi-skilled workers	48	9.6%
[unknown]	129	%
unknown class	9	1.8%

Occupation class in 1870, by occupation class at enlistment

	Artisans	Manual laborers	Not in labor force	Professionals and large proprietors	Semi-professionals and smaller proprietors	Service and semi-skilled workers	[unknown]	unknown class	total
Artisans	70 (35.87)	20 (27.84)	0 (0.29)	1 (2.01)	14 (34.15)	4 (7.75)	48 (48.21)	4 (4.88)	161
Manual laborers	13 (27.18)	46 (21.09)	0 (0.22)	1 (1.52)	30 (25.88)	9 (5.87)	21 (36.53)	2 (3.7)	122
Not in labor force	1 (0.67)	0 (0.52)	1 (0.01)	0 (0.04)	0 (0.64)	0 (0.14)	1 (0.9)	0 (0.09)	3
Professionals and large proprietors	3 (4.68)	1 (3.63)	0 (0.04)	2 (0.26)	3 (4.45)	0 (1.01)	12 (6.29)	0 (0.64)	21
Semi-professionals and smaller proprietors	14 (30.53)	16 (23.69)	0 (0.24)	2 (1.71)	52 (29.06)	3 (6.59)	49 (41.03)	1 (4.15)	137
Service and semi-skilled workers	8 (10.7)	6 (8.3)	0 (0.09)	0 (0.6)	8 (10.18)	10 (2.31)	13 (14.37)	3 (1.45)	48
[unknown]	15 (13.37)	8 (10.37)	0 (0.11)	1 (0.75)	10 (12.73)	1 (2.89)	20 (17.97)	5 (1.82)	60
unknown class	1 (2.01)	0 (1.56)	0 (0.02)	0 (0.11)	2 (1.91)	0 (0.43)	4 (2.7)	2 (0.27)	9
total	125	97	1	7	119	27	168	17	561

chi square wasn't calculated because 40 expected values were less than 5

Occupation class in 1870, by occupation class at enlistment (collapsed, excluding unknowns)

	Artisans	Manual laborers	Other	Semi-professionals and smaller proprietors	Service and semi-skilled workers	total
Artisans	70 (35.15)	20 (28.7)	1 (2.26)	14 (34.51)	4 (8.38)	109
Manual laborers	13 (31.93)	46 (26.07)	1 (2.05)	30 (31.34)	9 (7.62)	99
Other	4 (3.55)	1 (2.9)	3 (0.23)	3 (3.48)	0 (0.85)	11
Semi-professionals and smaller proprietors	14 (28.06)	16 (22.91)	2 (1.8)	52 (27.54)	3 (6.69)	87
Service and semi-skilled workers	8 (10.32)	6 (8.43)	0 (0.66)	8 (10.13)	10 (2.46)	32
total	109	89	7	107	26	338

chi square wasn't calculated because 10 expected values were less than 5

Citizenship status in 1870

	soldier	widow	total
[not recorded]	0 (61.44)	69 (7.56)	69
[unknown]	31 (27.6)	0 (3.4)	31
citizen	525 (467.5)	0 (57.5)	525
nonCitizen	5 (4.45)	0 (0.55)	5
total	561	69	630

chi square wasn't calculated because 3 expected values were less than 5

Spouse name in 1870

A#E	1	0.2%
A#Sarah	1	0.2%
Abby#Ann	1	0.2%
Abigail	1	0.2%
Ada	1	0.2%
Adelia	1	0.2%
Adeline	2	0.4%
Adelle	1	0.2%
Agness	1	0.2%
Alice	1	0.2%
Almira	1	0.2%
Amanda	6	1.2%
Amanda#E	1	0.2%
Ann	4	0.8%
Ann#C	1	0.2%
Ann#Lizzie	1	0.2%
Ann#Maiah[?]	1	0.2%
Ann#Maria	1	0.2%
Ann#R	1	0.2%
Anna	14	2.7%
Anna#E	1	0.2%
Anna#M	4	0.8%
Annie	8	1.5%
Annie#E	2	0.4%
Barbara	6	1.2%
Barbary	1	0.2%
Barbery	1	0.2%
Bertha	1	0.2%
Bingallo	1	0.2%
Briggit	1	0.2%
Caroline	7	1.3%
Carrie	1	0.2%
Casander	1	0.2%
Catharine	18	3.5%
Catherine	7	1.3%
Cecelia	1	0.2%
Christine	1	0.2%
Clara	1	0.2%
Clementine	1	0.2%
Cora	1	0.2%
Deborah	1	0.2%
Delight#S	1	0.2%
Elisabeth	6	1.2%
Eliza	16	3.1%
Eliza#A	2	0.4%
Eliza#C	1	0.2%
Eliza#J	1	0.2%
Eliza#R	1	0.2%
Elizabeth	16	3.1%
Elizabeth#H	1	0.2%
Elizabeth#P	1	0.2%
Elizebeth	3	0.6%
Ellen	10	1.9%
Ellinor	1	0.2%
Elmira	1	0.2%
Elsie	1	0.2%
Elvira	1	0.2%
Emeline	3	0.6%
Emeline#E	1	0.2%
Emily	1	0.2%
Emma	10	1.9%
Emma#E	1	0.2%
Emma#S	1	0.2%
Esther	1	0.2%
Fannie	4	0.8%
Fanny	1	0.2%
Frances	2	0.4%
Francis	2	0.4%
Francis#A	1	0.2%
Fredericka	1	0.2%
Gertrude	1	0.2%
Grace#A#E	1	0.2%
Han	1	0.2%
Hannah	8	1.5%
Hannah#W#M	1	0.2%
Harriet	3	0.6%
Harriet#A	1	0.2%
Harriet#M	1	0.2%
Harriett	1	0.2%
Henrietta	3	0.6%
Hester	1	0.2%
Hettie%Snider	1	0.2%
Hetty	1	0.2%
Hetty#R	1	0.2%
Hulda	1	0.2%
Ida	1	0.2%
Isabella	5	1.0%
Jane	12	2.3%
Jane#Hamilton	1	0.2%
Janett	1	0.2%
Jennie#H	1	0.2%
Johanna	1	0.2%
Josephine	1	0.2%
Julia	8	1.5%
Julia#A	3	0.6%
Kate	8	1.5%
Kate#L	1	0.2%
Laura	4	0.8%
Lavina	1	0.2%
Leah	1	0.2%
Lenah	1	0.2%
Lidia	1	0.2%
Lizzie	5	1.0%
Lizzie#A	1	0.2%
Louisa	8	1.5%
Louisa#R	1	0.2%
Lucinda	1	0.2%
Lucy	3	0.6%
Lucy#A	1	0.2%
Lydia#M	1	0.2%
M#E	1	0.2%
Mahala	1	0.2%
Margaret	21	4.0%
Margarett	1	0.2%
Margret	1	0.2%
Margt	3	0.6%
Maria	8	1.5%
Mariah	1	0.2%
Marial	1	0.2%
Mariana	1	0.2%
Marion#B	1	0.2%
Martha	10	1.9%
Mary	50	9.6%
Mary#	1	0.2%
Mary#A	10	1.9%
Mary#Ann	1	0.2%
Mary#E	4	0.8%
Mary#G	1	0.2%
Mary#Jane	1	0.2%
Mary#M	1	0.2%
Maryann	1	0.2%
Matilda	4	0.8%
Mattie	1	0.2%
Nancy	1	0.2%
Nellie	1	0.2%
Olive	1	0.2%
Parthena	1	0.2%
Patience	1	0.2%
Phebe	1	0.2%
Pricilla	1	0.2%
Rachael	2	0.4%
Rachel	1	0.2%
Rachil	1	0.2%
Rebecca	9	1.7%
RosAnna	1	0.2%
Rosa	1	0.2%
Rosanna	1	0.2%
Roseanna	1	0.2%
S	1	0.2%
Sallie	3	0.6%
Sally#Ann	1	0.2%
Sarah	36	6.9%
Sarah#A	3	0.6%
Sarah#Jane	1	0.2%
Scharlotte	1	0.2%
Sophia	2	0.4%
Suffiah#A	1	0.2%
Susan	14	2.7%
Susan#J	1	0.2%
Susanna	1	0.2%
Susannah	1	0.2%
Sylvania	1	0.2%
Violetta#L	1	0.2%
Virginia	2	0.4%
Wihelmina	1	0.2%
Winnifred	1	0.2%
[unknown]	111	%

Married in 1870

spouse	519	82.4%
unknown	111	17.6%

Married in 1870, by volunteer status

	spouse	unknown	total
draftee	169 (156.52)	21 (33.48)	190
substitute	54 (63.43)	23 (13.57)	77
volunteer	296 (299.04)	67 (63.96)	363
total	519	111	630

values in parentheses are expected values
degrees of freedom: 2
chi-square: 13.78
p < 0.0025
Cramer's V: 0.15

Married in 1870, by whether they started as a commissioned officer

	did not start as commissioned officer	started as commissioned officer	total
spouse	501 (502.52)	18 (16.48)	519
unknown	109 (107.48)	2 (3.52)	111
total	610	20	630

chi square wasn't calculated because 1 expected values were less than 5

Married in 1870, by their occupation class

	spouse	unknown	total
Artisans	131 (132.63)	30 (28.37)	161
Manual laborers	99 (100.5)	23 (21.5)	122
Not in labor force	2 (2.47)	1 (0.53)	3
Professionals and large proprietors	15 (17.3)	6 (3.7)	21
Semi-professionals and smaller proprietors	118 (112.86)	19 (24.14)	137
Service and semi-skilled workers	40 (39.54)	8 (8.46)	48
[unknown]	106 (106.27)	23 (22.73)	129
unknown class	8 (7.41)	1 (1.59)	9
total	519	111	630

chi square wasn't calculated because 4 expected values were less than 5

Married in 1870, by whether they ever deserted

	deserted	never deserted	total
spouse	25 (27.19)	494 (491.81)	519
unknown	8 (5.81)	103 (105.19)	111
total	33	597	630

values in parentheses are expected values
degrees of freedom: 1
chi-square: 1.06
p > 0.25
Cramer's V: 0.04

Married in 1870, by whether they reenlisted as veteran volunteers

	spouse	unknown	total
[unknown]	42 (43.66)	11 (9.34)	53
ineligible	393 (385.54)	75 (82.46)	468
unwilling to reenlist	12 (12.36)	3 (2.64)	15
veteran	67 (70.85)	19 (15.15)	86
willing to reenlist	5 (6.59)	3 (1.41)	8
total	519	111	630

values in parentheses are expected values
degrees of freedom: 4
chi-square: 4.6
p > 0.25
Cramer's V: 0.09

Owned any property in 1870, by whether they were married in 1870

	no	yes	total
spouse	149 (187.83)	370 (331.17)	519
unknown	79 (40.17)	32 (70.83)	111
total	228	402	630

values in parentheses are expected values
degrees of freedom: 1
chi-square: 71.4
p < 5.0E-4
Cramer's V: 0.34

Married in 1870, by HISCO major occupation class in 1870

	spouse	unknown	total
[unknown]	110 (110.39)	24 (23.61)	134
administrative and managerial workers	4 (4.12)	1 (0.88)	5
agricultural, animal husbandry and forestry workers, fisherman, and hunters	96 (96.39)	21 (20.61)	117
clerical and related workers	17 (18.12)	5 (3.88)	22
not in work force	2 (2.47)	1 (0.53)	3
production and related workers, transport equipment operators, and laborers	247 (241.38)	46 (51.62)	293
professional, technical, and related workers	10 (11.53)	4 (2.47)	14
sales workers	23 (21.42)	3 (4.58)	26
service workers	10 (13.18)	6 (2.82)	16
total	519	111	630

chi square wasn't calculated because 8 expected values were less than 5

Married in 1870, by occupation class (collapsed, excluding unknowns)

	no	yes	total
Artisans	74 (62.5)	87 (98.5)	161
Manual laborers	50 (47.36)	72 (74.64)	122
Other	5 (9.32)	19 (14.68)	24
Semi-professionals and smaller proprietors	34 (53.18)	103 (83.82)	137
Service and semi-skilled workers	28 (18.63)	20 (29.37)	48
total	191	301	492

values in parentheses are expected values
degrees of freedom: 4
chi-square: 25.98
p < 5.0E-4
Cramer's V: 0.23

Pennsylvania county living in, in 1870 census

Adams	56	8.9%
Allegheny	12	1.9%
Armstrong	5	0.8%
Bedford	42	6.7%
Berks	5	0.8%
Blair	13	2.1%
Bradford	1	0.2%
Bucks	6	1.0%
Butler	4	0.6%
Carbon	1	0.2%
Centre	5	0.8%
Chester	4	0.6%
Clarion	1	0.2%
Clearfield	2	0.3%
Clinton	1	0.2%
Columbia	2	0.3%
Cumberland	2	0.3%
Dauphin	5	0.8%
Delaware	8	1.3%
Elk	1	0.2%
Fayette	1	0.2%
Franklin	4	0.6%
Fulton	1	0.2%
Greene	2	0.3%
Huntingdon	14	2.2%
Jefferson	3	0.5%
Juniata	1	0.2%
Lackawanna	1	0.2%
Lancaster	8	1.3%
Lebanon	1	0.2%
Luzerne	4	0.6%
Lycoming	3	0.5%
Mercer	2	0.3%
Mifflin	2	0.3%
Monroe	1	0.2%
Montgomery	18	2.9%
Montour	2	0.3%
Northampton	4	0.6%
Northumberland	6	1.0%
Perry	1	0.2%
Philadelphia	276	43.8%
Potter	1	0.2%
Schuylkill	3	0.5%
Somerset	11	1.7%
Tioga	2	0.3%
Venango	1	0.2%
Wayne	2	0.3%
Westmoreland	4	0.6%
York	1	0.2%
not Pennsylvania	74	11.7%

Found 1880 census entry

can't identify	30	1.5%
found	698	33.9%
not checked	1180	57.3%
not found	153	7.4%

Person found in 1880 census

soldier	614	88.0%
widow	84	12.0%

State living in, in 1880 census

Arizona	1	0.1%
California	4	0.6%
Connecticut	1	0.1%
Dakota Territory	1	0.1%
Delaware	3	0.4%
Illinois	9	1.3%
Indiana	2	0.3%
Iowa	7	1.0%
Kansas	5	0.7%
Kentucky	1	0.1%
Maine	2	0.3%
Maryland	9	1.3%
Massachusetts	3	0.4%
Michigan	2	0.3%
Minnesota	2	0.3%
Mississippi	1	0.1%
Missouri	9	1.3%
Nebraska	1	0.1%
New Jersey	14	2.0%
New York	7	1.0%
Ohio	23	3.3%
Pennsylvania	574	82.2%
Texas	2	0.3%
Virginia	3	0.4%
Washington, District of Columbia	4	0.6%
West Virginia	4	0.6%
Wisconsin	3	0.4%
Wyoming	1	0.1%

Occupation in 1880

Pass R R conductor	1	0.1%
R R freight line	1	0.1%
[blank; probably none]	90	12.9%
[illegible]	1	0.1%
[stationary] engineer	1	0.1%
acting assistant surgeon	1	0.1%
agt of the PPCA	1	0.1%
at home	2	0.3%
at work	1	0.1%
attorney at law	1	0.1%
baker	2	0.3%
barber	1	0.1%
bartender	1	0.1%
basketmaker	1	0.1%
beamer	1	0.1%
blacksmith	9	1.3%
blacksmith helper	1	0.1%
boat builder	1	0.1%
boatman	1	0.1%
boilermaker	2	0.3%
boltmaker	1	0.1%
bookbinder	1	0.1%
bookkeeper	3	0.4%
brakeman r.r.	1	0.1%
bricklayer	5	0.7%
brickmaker	3	0.4%
brickmason	2	0.3%
buggy maker	1	0.1%
butcher	2	0.3%
car conductor	1	0.1%
car driver	2	0.3%
car inspector	2	0.3%
carpenter	29	4.2%
carpenter and builder	1	0.1%
carpenter and farmer	1	0.1%
carpet weaver	3	0.4%
cashier	1	0.1%
chairmaker	1	0.1%
cigar manufacturer	1	0.1%
cigarmaker	3	0.4%
clergyman	1	0.1%
clerk	5	0.7%
clerk (war)	1	0.1%
clerk War Dept	1	0.1%
clerk at furnace	1	0.1%
clerk guardian poor [?]	1	0.1%
clerk in RR	1	0.1%
clerk in bank	1	0.1%
clerk in hospital	1	0.1%
clerk in office	1	0.1%
clerk in store	1	0.1%
clerk in water department	1	0.1%
coach painter	1	0.1%
coachmaker	2	0.3%
coal miner	3	0.4%
coffee + spice dealer	1	0.1%
collector	1	0.1%
combmaker	1	0.1%
confectioner	2	0.3%
cook	1	0.1%
cooper	3	0.4%
corn dealer	1	0.1%
cotton weaver	1	0.1%
court crier	1	0.1%
day laborer	2	0.3%
dealer in liquor	1	0.1%
dealer in provisions	1	0.1%
deputy sheriff	1	0.1%
doctor	1	0.1%
driver	1	0.1%
druggist	1	0.1%
dyer	1	0.1%
emp gas office	1	0.1%
engineer	1	0.1%
exchange doorkeeper	1	0.1%
farm labor	1	0.1%
farm laborer	16	2.3%
farmer	106	15.2%
farming	11	1.6%
fireman on railroad	1	0.1%
fish dealer	1	0.1%
flour feed [?]	1	0.1%
foreman	1	0.1%
fork finisher	1	0.1%
furniture car driver	1	0.1%
gardener	5	0.7%
gas purifier	1	0.1%
glass blower	5	0.7%
goffering	1	0.1%
govt clerk	1	0.1%
grocer	2	0.3%
grocery	1	0.1%
gunsmith	1	0.1%
hack driver	1	0.1%
hardware merchant	2	0.3%
harness maker	1	0.1%
hat + cap store	1	0.1%
hatter	1	0.1%
horse dealer	1	0.1%
hostler	1	0.1%
hotel keeper	1	0.1%
house carpenter	3	0.4%
house painter	7	1.0%
huckster	4	0.6%
in a store	1	0.1%
in gas works	1	0.1%
in the Army	1	0.1%
inventor	1	0.1%
iron founder	1	0.1%
iron worker	1	0.1%
jailor	1	0.1%
jeweller	1	0.1%
keeps [illegible] shop	1	0.1%
keeps a restaurant	2	0.3%
keeps saloon	1	0.1%
knobler	1	0.1%
laborer	77	11.0%
laborer at Mint	1	0.1%
laborer rr	1	0.1%
lager beer saloon	1	0.1%
lawyer	1	0.1%
leather manufacturer	1	0.1%
letter carrier	2	0.3%
livery business	1	0.1%
locksmith	2	0.3%
loom boss	1	0.1%
lumber dealer	2	0.3%
machinist	2	0.3%
machinist + engineer	1	0.1%
master plasterer	1	0.1%
medical doctor	1	0.1%
merchant	1	0.1%
milk dealer	1	0.1%
miller	3	0.4%
miner	3	0.4%
minister	1	0.1%
morocco dresser	1	0.1%
morocco finisher	1	0.1%
moulder	1	0.1%
mule spinner	1	0.1%
music teacher	1	0.1%
musician	1	0.1%
nickel plater	1	0.1%
night watchman	1	0.1%
notion peddler	1	0.1%
notion store	1	0.1%
oil producer	1	0.1%
on road repairs PRR	1	0.1%
oyster dealer	1	0.1%
painter	12	1.7%
painter supplies	1	0.1%
paperhanger	4	0.6%
park guard	2	0.3%
pattern maker	1	0.1%
pavier [?]	1	0.1%
pawnbroker	1	0.1%
photographer	1	0.1%
physician	5	0.7%
picture frames	1	0.1%
plasterer	5	0.7%
police	1	0.1%
police officer	2	0.3%
policeman	1	0.1%
printer	3	0.4%
r r clerk	1	0.1%
r r employee	1	0.1%
rag picker	1	0.1%
raises fowl	1	0.1%
restaurant	1	0.1%
retail coal dealer	1	0.1%
retailer of segars	1	0.1%
retired farmer	1	0.1%
rodman	1	0.1%
ropemaker	1	0.1%
rr blacksmith	1	0.1%
saddle harness maker	1	0.1%
saddler	1	0.1%
salesman	5	0.7%
salesman in grocery	1	0.1%
sargeant	1	0.1%
sawyer	2	0.3%
school teacher	1	0.1%
sewing machines	1	0.1%
ship broker	1	0.1%
ship joiner	1	0.1%
shirt manufacturer	2	0.3%
shoe agent	1	0.1%
shoe cutter	1	0.1%
shoecutter	1	0.1%
shoemaker	8	1.1%
sign writer	1	0.1%
silversmith	1	0.1%
slater	1	0.1%
soldier	2	0.3%
special police	1	0.1%
spooler	1	0.1%
spring maker	1	0.1%
spring manufacturer	1	0.1%
steamfitter	1	0.1%
stone cutter	1	0.1%
stone mason	6	0.9%
stone mason + shoe maker	1	0.1%
storekeeper	1	0.1%
stove moulder	1	0.1%
tailor	5	0.7%
tanner	1	0.1%
tavern keeper	1	0.1%
teamster	3	0.4%
telegraph clerk	1	0.1%
tin roofer	2	0.3%
tinsmith	2	0.3%
trucker	1	0.1%
undertaker	1	0.1%
upholsterer	1	0.1%
vegetable farmer	1	0.1%
wagonmaker	1	0.1%
washer	1	0.1%
watchman	2	0.3%
waterman	1	0.1%
weaver	2	0.3%
well digger	1	0.1%
wheelwright	1	0.1%
working in meter factory	1	0.1%
works at carpentering	1	0.1%
works at furnace	1	0.1%
works glass factory	1	0.1%
works in a brickyard	1	0.1%
works in an iron mine	1	0.1%
works in boiler works	1	0.1%
works in brickyard	1	0.1%
works in cloth mill	1	0.1%
works in coal yard	1	0.1%
works in cot mill	1	0.1%
works in cot[ton] mill	1	0.1%
works in gas house	1	0.1%
works in gas works	1	0.1%
works in marble factory	1	0.1%
works in mine	1	0.1%
works in morocco factory	1	0.1%
works in ore mine	1	0.1%
works in shoe factory	2	0.3%
works in shoe shop	1	0.1%
works in shovel factory	1	0.1%
works in stove factory	1	0.1%
works in stove store	1	0.1%
works in window glass works	1	0.1%
works in woolen mill	1	0.1%
works on farm	3	0.4%
works woolen mill	1	0.1%

Occupation class in 1880

Artisans	159	27.3%
Manual laborers	121	20.8%
Not in labor force	3	0.5%
Professionals and large proprietors	31	5.3%
Semi-professionals and smaller proprietors	194	33.3%
Service and semi-skilled workers	49	8.4%
[unknown]	115	%
unknown class	26	4.5%

Occupation class in 1880, by occupation class at enlistment

	Artisans	Manual laborers	Not in labor force	Professionals and large proprietors	Semi-professionals and smaller proprietors	Service and semi-skilled workers	[unknown]	unknown class	total
Artisans	73 (35.22)	17 (28.23)	0 (0.26)	0 (1.29)	20 (36.0)	5 (6.73)	38 (47.39)	6 (3.88)	159
Manual laborers	15 (26.8)	44 (21.48)	0 (0.2)	1 (0.99)	23 (27.39)	8 (5.12)	29 (36.06)	1 (2.96)	121
Not in labor force	1 (0.66)	0 (0.53)	0 (0.0)	0 (0.02)	0 (0.68)	0 (0.13)	2 (0.89)	0 (0.07)	3
Professionals and large proprietors	2 (6.87)	0 (5.5)	0 (0.05)	1 (0.25)	5 (7.02)	0 (1.31)	22 (9.24)	1 (0.76)	31
Semi-professionals and smaller proprietors	21 (42.97)	37 (34.44)	1 (0.32)	1 (1.58)	75 (43.92)	1 (8.21)	57 (57.82)	1 (4.74)	194
Service and semi-skilled workers	10 (10.85)	6 (8.7)	0 (0.08)	1 (0.4)	8 (11.09)	7 (2.07)	15 (14.6)	2 (1.2)	49
[unknown]	7 (6.87)	3 (5.5)	0 (0.05)	1 (0.25)	6 (7.02)	3 (1.31)	11 (9.24)	0 (0.76)	31
unknown class	7 (5.76)	2 (4.62)	0 (0.04)	0 (0.21)	2 (5.89)	2 (1.1)	9 (7.75)	4 (0.64)	26
total	136	109	1	5	139	26	183	15	614

chi square wasn't calculated because 34 expected values were less than 5

Occupation class in 1880, by occupation class at enlistment (collapsed, excluding unknowns)

	Artisans	Manual laborers	Other	Semi-professionals and smaller proprietors	Service and semi-skilled workers	total
Artisans	73 (36.63)	17 (31.23)	0 (1.5)	20 (39.33)	5 (6.31)	115
Manual laborers	15 (28.99)	44 (24.71)	1 (1.19)	23 (31.13)	8 (4.99)	91
Other	3 (2.87)	0 (2.44)	1 (0.12)	5 (3.08)	0 (0.49)	9
Semi-professionals and smaller proprietors	21 (43.32)	37 (36.93)	2 (1.78)	75 (46.52)	1 (7.46)	136
Service and semi-skilled workers	10 (10.19)	6 (8.69)	1 (0.42)	8 (10.95)	7 (1.75)	32
total	122	104	5	131	21	383

chi square wasn't calculated because 11 expected values were less than 5

Relation to head of household in 1880 census

head	554	79.4%
boarder	23	3.3%
son	21	3.0%
inmate	21	3.0%
wife	16	2.3%
son-in-law	10	1.4%
daughter	7	1.0%
brother	6	0.9%
mother	6	0.9%
brother-in-law	4	0.6%
?	4	0.6%
father	4	0.6%
father-in-law	4	0.6%
mother-in-law	3	0.4%
sister	3	0.4%
lodger	2	0.3%
blank	2	0.3%
servant	2	0.3%
cousin	1	0.1%
1stLieutenant	1	0.1%
housekeeper	1	0.1%
prisoner	1	0.1%
uncle	1	0.1%
nephew	1	0.1%

Relation to head of household in 1880 census (collapsed)

head	554	79.8%
other	44	6.3%
child	38	5.5%
boarder or lodger	25	3.6%
parent	17	2.4%
other family	16	2.3%
[unknown]	4	%

Relation to head of household in 1880 census (by person found)

	soldier	widow	total
1stLieutenant	1 (0.88)	0 (0.12)	1
?	3 (3.52)	1 (0.48)	4
blank	2 (1.76)	0 (0.24)	2
boarder	20 (20.23)	3 (2.77)	23
brother	6 (5.28)	0 (0.72)	6
brother-in-law	4 (3.52)	0 (0.48)	4
cousin	1 (0.88)	0 (0.12)	1
daughter	0 (6.16)	7 (0.84)	7
father	4 (3.52)	0 (0.48)	4
father-in-law	4 (3.52)	0 (0.48)	4
head	513 (487.33)	41 (66.67)	554
housekeeper	0 (0.88)	1 (0.12)	1
inmate	20 (18.47)	1 (2.53)	21
lodger	1 (1.76)	1 (0.24)	2
mother	0 (5.28)	6 (0.72)	6
mother-in-law	0 (2.64)	3 (0.36)	3
nephew	1 (0.88)	0 (0.12)	1
prisoner	1 (0.88)	0 (0.12)	1
servant	1 (1.76)	1 (0.24)	2
sister	0 (2.64)	3 (0.36)	3
son	21 (18.47)	0 (2.53)	21
son-in-law	10 (8.8)	0 (1.2)	10
uncle	1 (0.88)	0 (0.12)	1
wife	0 (14.07)	16 (1.93)	16
total	614	84	698

chi square wasn't calculated because 38 expected values were less than 5

Relation to head of household in 1880 census (by person found) (collapsed)

	soldier	widow	total
[unknown]	3 (3.52)	1 (0.48)	4
boarder or lodger	21 (21.99)	4 (3.01)	25
child	31 (33.43)	7 (4.57)	38
head	513 (487.33)	41 (66.67)	554
other	25 (38.7)	19 (5.3)	44
other family	13 (14.07)	3 (1.93)	16
parent	8 (14.95)	9 (2.05)	17
total	614	84	698

chi square wasn't calculated because 6 expected values were less than 5

Marital status in 1880 census

married	528	75.6%
widow	84	12.0%
single	54	7.7%
widowed/divorced	30	4.3%
divorced	2	0.3%

Spouse name in 1880

	86	12.6%
Mary	47	6.9%
Sarah	36	5.3%
Elizabeth	33	4.8%
Martha	18	2.6%
Margaret	17	2.5%
[unknown]	17	%
Mary#A	17	2.5%
Catharine	16	2.3%
Emma	14	2.1%
Eliza	11	1.6%
Ellen	10	1.5%
Susan	10	1.5%
Annie	9	1.3%
Sarah#A	9	1.3%
Rebecca	8	1.2%
Mary#E	8	1.2%
Anna	7	1.0%
Maria	7	1.0%
Louisa	7	1.0%
Hannah	6	0.9%
Kate	6	0.9%
Caroline	6	0.9%
Julia	6	0.9%
Isabella	6	0.9%
Harriet	5	0.7%
Sallie	5	0.7%
Catherine	5	0.7%
Margret	4	0.6%
Barbara	4	0.6%
Matilda	4	0.6%
Frances	4	0.6%
Ann	4	0.6%
Virginia	4	0.6%
Amanda	4	0.6%
Marie	3	0.4%
Maggie	3	0.4%
Kate#E	3	0.4%
Lydia	3	0.4%
Elisabeth	3	0.4%
Rachel	3	0.4%
Jane	3	0.4%
Esther	3	0.4%
Laura	3	0.4%
Agnes	3	0.4%
Elmira	3	0.4%
Nancy	3	0.4%
Emma#C	2	0.3%
Ida	2	0.3%
Sallie#E	2	0.3%
Julia#A	2	0.3%
Sarah#E	2	0.3%
Henrietta	2	0.3%
Lizzie#A	2	0.3%
Maryann	2	0.3%
Rosanna	2	0.3%
Anna#E	2	0.3%
Mary#Ann	2	0.3%
Cornelia	2	0.3%
Mary#C	2	0.3%
Fannie	2	0.3%
Sophia	2	0.3%
Matha	2	0.3%
Eliza#J	2	0.3%
Gertrude	2	0.3%
Emma#J	2	0.3%
Mary#F	1	0.1%
Christiana	1	0.1%
A	1	0.1%
Jennie	1	0.1%
Catherine#A	1	0.1%
Cathrine	1	0.1%
Jannie	1	0.1%
Hannah#E	1	0.1%
Jenny	1	0.1%
Nellie	1	0.1%
Elisa#A	1	0.1%
Frances#A	1	0.1%
S#A	1	0.1%
Minerva	1	0.1%
Alice	1	0.1%
Mary#Jane	1	0.1%
Lota	1	0.1%
Julianna	1	0.1%
Margaret#E	1	0.1%
Margart	1	0.1%
Tillie	1	0.1%
Hannah#G	1	0.1%
Ann#B	1	0.1%
Clara	1	0.1%
Amelia	1	0.1%
Philophine	1	0.1%
Susanna	1	0.1%
Moriah#M	1	0.1%
Sue	1	0.1%
Lucy	1	0.1%
Mary#S	1	0.1%
Harrietta	1	0.1%
Roseanna	1	0.1%
Annie#J	1	0.1%
Manda	1	0.1%
Hettie	1	0.1%
Annlizzie	1	0.1%
Frederica	1	0.1%
Harriette	1	0.1%
Olive#L	1	0.1%
Sylvania	1	0.1%
LC	1	0.1%
Suan	1	0.1%
Lottie	1	0.1%
Jane#E	1	0.1%
Mary#M	1	0.1%
Eliza#Pollock	1	0.1%
Chrissie	1	0.1%
Louisa#E	1	0.1%
Emily	1	0.1%
Laura#A	1	0.1%
Maggie#A	1	0.1%
Ann#R	1	0.1%
Savina	1	0.1%
Salena	1	0.1%
Samonnetta	1	0.1%
Sarah#Elizabeth	1	0.1%
Josephine#M	1	0.1%
Lizzie	1	0.1%
H#Susan	1	0.1%
Eleanor	1	0.1%
Mariah	1	0.1%
Addie	1	0.1%
Ester	1	0.1%
Jane#D	1	0.1%
Margrt	1	0.1%
Julianas	1	0.1%
Margaritta	1	0.1%
Patence	1	0.1%
Johanna	1	0.1%
Anny	1	0.1%
Henrette	1	0.1%
Fanny	1	0.1%
Anna#B	1	0.1%
Rebeca	1	0.1%
Violetta	1	0.1%
Francis	1	0.1%
Hannah#M	1	0.1%
Annie#R	1	0.1%
Marg	1	0.1%
Rachael	1	0.1%
Lousia	1	0.1%
Annie#F	1	0.1%
Susan#C	1	0.1%
Julia#H	1	0.1%
Marion#B	1	0.1%
Emiline	1	0.1%
Ann#Maria	1	0.1%
L#Jane	1	0.1%
Amy	1	0.1%
Casander	1	0.1%
Hettie#Croyle	1	0.1%
Harriett#F	1	0.1%
Ellen#J	1	0.1%
Mercy#Ann	1	0.1%
Abigail	1	0.1%
Cecelia#C	1	0.1%
Marietta	1	0.1%
Annie#C	1	0.1%
Georgiana	1	0.1%
Sarah#R	1	0.1%
Rebecca#P	1	0.1%
Pricilla#E	1	0.1%
Angelina#R	1	0.1%
Rebecca#L	1	0.1%
Sophia#H	1	0.1%
Rosy	1	0.1%
Maggie#S#J	1	0.1%
Adelle	1	0.1%
Lovina	1	0.1%
Lucy#A	1	0.1%
Wilhelmina	1	0.1%
Marget#E	1	0.1%
Mary#B	1	0.1%
Ludran	1	0.1%
Leah	1	0.1%
Allice	1	0.1%
Mary#T	1	0.1%
Mahla	1	0.1%
Lillie	1	0.1%
Caroline#C	1	0.1%
E	1	0.1%
Susan#M	1	0.1%
Katharine	1	0.1%
Ann#M	1	0.1%
E#Elen	1	0.1%
Ellen#A	1	0.1%
Charlotte	1	0.1%
Hulda	1	0.1%
Winfore	1	0.1%
Susannah	1	0.1%
Hettie#R	1	0.1%
Debby	1	0.1%
Mary#L	1	0.1%
Mary#Eliz	1	0.1%
Dora#M	1	0.1%
Sallie#J	1	0.1%
Elinora	1	0.1%
Adeline	1	0.1%
Clementine	1	0.1%
Susana	1	0.1%
Nellie#W	1	0.1%
wife	1	0.1%
Priscilla	1	0.1%
Berdilla	1	0.1%
Hannah#L	1	0.1%
Isabel	1	0.1%
Caroline#M	1	0.1%
Margt	1	0.1%
Eva	1	0.1%
Abbeyann	1	0.1%
Maria#Jane#Brown	1	0.1%
Susanne	1	0.1%
Elvira	1	0.1%
Elizzabeth	1	0.1%
Bridget	1	0.1%
P#P	1	0.1%
Lucinda	1	0.1%
Mary#J	1	0.1%
Susan#J	1	0.1%
Jamima#P	1	0.1%
Emeline	1	0.1%
Ann#C	1	0.1%
Susan#OR#Jane	1	0.1%

Number of months unemployed, in 1880 census

0	7	1.1%
1	2	0.3%
10	5	0.8%
12	17	2.8%
2	12	2.0%
3	11	1.8%
4	12	2.0%
5	2	0.3%
6	7	1.1%
8	3	0.5%
9	2	0.3%
[blank; probably 0]	534	87.0%

Whether unemployed, by relation to head of household, in 1880 census

	not unemployed	unemployed	total
1stLieutenant	1 (0.88)	0 (0.12)	1
?	3 (2.64)	0 (0.36)	3
blank	2 (1.76)	0 (0.24)	2
boarder	18 (17.62)	2 (2.38)	20
brother	5 (5.29)	1 (0.71)	6
brother-in-law	4 (3.52)	0 (0.48)	4
cousin	1 (0.88)	0 (0.12)	1
father	4 (3.52)	0 (0.48)	4
father-in-law	4 (3.52)	0 (0.48)	4
head	459 (452.01)	54 (60.99)	513
inmate	7 (17.62)	13 (2.38)	20
lodger	1 (0.88)	0 (0.12)	1
nephew	1 (0.88)	0 (0.12)	1
prisoner	1 (0.88)	0 (0.12)	1
servant	1 (0.88)	0 (0.12)	1
son	18 (18.5)	3 (2.5)	21
son-in-law	10 (8.81)	0 (1.19)	10
uncle	1 (0.88)	0 (0.12)	1
total	541	73	614

chi square wasn't calculated because 29 expected values were less than 5

Whether unemployed, by relation to head of household (collapsed), in 1880 census

	not unemployed	unemployed	total
[unknown]	3 (2.64)	0 (0.36)	3
boarder or lodger	19 (18.5)	2 (2.5)	21
child	28 (27.31)	3 (3.69)	31
head	459 (452.01)	54 (60.99)	513
other	12 (22.03)	13 (2.97)	25
other family	12 (11.45)	1 (1.55)	13
parent	8 (7.05)	0 (0.95)	8
total	541	73	614

chi square wasn't calculated because 7 expected values were less than 5

Whether unemployed, by occupation class, in 1880 census

	not unemployed	unemployed	total
Artisans	133 (140.1)	26 (18.9)	159
Manual laborers	96 (106.61)	25 (14.39)	121
Not in labor force	3 (2.64)	0 (0.36)	3
Professionals and large proprietors	31 (27.31)	0 (3.69)	31
Semi-professionals and smaller proprietors	183 (170.93)	11 (23.07)	194
Service and semi-skilled workers	41 (43.17)	8 (5.83)	49
[unknown]	29 (27.31)	2 (3.69)	31
unknown class	25 (22.91)	1 (3.09)	26
total	541	73	614

chi square wasn't calculated because 5 expected values were less than 5

Whether unemployed, by occupation class (collapsed), in 1880 census

	not unemployed	unemployed	total
Artisans	133 (140.1)	26 (18.9)	159
Manual laborers	96 (106.61)	25 (14.39)	121
Other	34 (29.96)	0 (4.04)	34
Semi-professionals and smaller proprietors	183 (170.93)	11 (23.07)	194
Service and semi-skilled workers	41 (43.17)	8 (5.83)	49
[unknown]	29 (27.31)	2 (3.69)	31
unknown class	25 (22.91)	1 (3.09)	26
total	541	73	614

chi square wasn't calculated because 3 expected values were less than 5

Pennsylvania county living in, in 1880 census

Adams	49	7.0%
Allegheny	12	1.7%
Armstrong	6	0.9%
Bedford	43	6.2%
Berks	6	0.9%
Blair	13	1.9%
Bucks	6	0.9%
Butler	6	0.9%
Centre	2	0.3%
Chester	6	0.9%
Clarion	2	0.3%
Clearfield	2	0.3%
Clinton	1	0.1%
Columbia	2	0.3%
Cumberland	4	0.6%
Dauphin	5	0.7%
Delaware	11	1.6%
Fayette	1	0.1%
Franklin	3	0.4%
Fulton	1	0.1%
Greene	1	0.1%
Huntingdon	19	2.7%
Jefferson	2	0.3%
Juniata	2	0.3%
Lackawanna	3	0.4%
Lancaster	8	1.1%
Lehigh	1	0.1%
Luzerne	3	0.4%
Lycoming	2	0.3%
McKean	1	0.1%
Mercer	1	0.1%
Mifflin	1	0.1%
Monroe	1	0.1%
Montgomery	19	2.7%
Montour	1	0.1%
Northampton	4	0.6%
Northumberland	6	0.9%
Philadelphia	288	41.3%
Potter	1	0.1%
Schuylkill	4	0.6%
Somerset	10	1.4%
Susquehanna	1	0.1%
Tioga	3	0.4%
Union	1	0.1%
Wayne	2	0.3%
Westmoreland	5	0.7%
York	3	0.4%
not Pennsylvania	124	17.8%

Found 1890 census entry

can't identify	7	0.3%
found	693	33.6%
not checked	686	33.3%
not found	675	32.8%

Found 1890 census entry, by volunteer status

	[unknown]	draftee	substitute	volunteer	total
can't identify	0 (0.01)	0 (1.07)	1 (1.09)	6 (4.84)	7
found	0 (1.01)	199 (105.58)	93 (107.6)	401 (478.81)	693
not checked	2 (1.0)	37 (104.51)	141 (106.51)	506 (473.98)	686
not found	1 (0.98)	78 (102.84)	85 (104.8)	511 (466.38)	675
total	3	314	320	1424	2061

chi square wasn't calculated because 7 expected values were less than 5

Person found in 1890 census

soldier	597	86.1%
widow	96	13.9%

State living in, in 1890 census

Maine	2	0.3%
Maryland	9	1.3%
Massachusetts	4	0.6%
Michigan	3	0.4%
Minnesota	3	0.4%
Missouri	9	1.3%
Nebraska	9	1.3%
New Jersey	32	4.6%
New York	9	1.3%
Ohio	21	3.0%
Pennsylvania	556	80.2%
Texas	2	0.3%
Virginia	25	3.6%
Washington	2	0.3%
Washington, District of Columbia	2	0.3%
West Virginia	3	0.4%
Wisconsin	2	0.3%

Occupation in 1890

[unknown]	592	%
agent	1	1.0%
bartender	1	1.0%
blacksmith	1	1.0%
boilermaker	1	1.0%
boltmaker	1	1.0%
bookkeeper	2	2.0%
brakeman	1	1.0%
bricklayer	1	1.0%
bricks	1	1.0%
butcher	2	2.0%
cabinet maker	2	2.0%
canvasser	1	1.0%
carpenter	4	4.0%
carpets	1	1.0%
carrier PO	1	1.0%
clerk	5	5.0%
coal	1	1.0%
conductor	2	2.0%
confectioner	1	1.0%
cooper	1	1.0%
cutter	1	1.0%
dentist	1	1.0%
deputy sheriff	1	1.0%
driver	6	5.9%
engineer	1	1.0%
fireman	2	2.0%
fisherman	1	1.0%
gilder	1	1.0%
glass blower	1	1.0%
goffer	1	1.0%
grocer	1	1.0%
ice	1	1.0%
inspector	4	4.0%
laborer	9	8.9%
livery	1	1.0%
moulder	2	2.0%
music teacher	1	1.0%
oysters	2	2.0%
painter	6	5.9%
paints	1	1.0%
physician	3	3.0%
plasterer	1	1.0%
police	3	3.0%
presser	1	1.0%
printer	1	1.0%
real estate	2	2.0%
salesman	2	2.0%
secretary	1	1.0%
shirts	1	1.0%
shoemaker	1	1.0%
silversmith	1	1.0%
slate mantels	1	1.0%
stoker	2	2.0%
switchman	1	1.0%
trimmings	1	1.0%
upholsterer	1	1.0%
watchman	1	1.0%
weaver	2	2.0%

Occupation class in 1890

Artisans	19	19.0%
Manual laborers	12	12.0%
Professionals and large proprietors	9	9.0%
Semi-professionals and smaller proprietors	38	38.0%
Service and semi-skilled workers	22	22.0%
[unknown]	593	%

Occupation class in 1890, by occupation class at enlistment

	Artisans	Manual laborers	Professionals and large proprietors	Semi-professionals and smaller proprietors	Service and semi-skilled workers	[unknown]	total
Artisans	14 (4.01)	5 (2.53)	0 (1.9)	6 (8.02)	7 (4.64)	94 (104.89)	126
Manual laborers	1 (3.72)	4 (2.35)	1 (1.76)	2 (7.45)	1 (4.31)	108 (97.4)	117
Professionals and large proprietors	0 (0.29)	0 (0.18)	0 (0.14)	0 (0.57)	0 (0.33)	9 (7.49)	9
Semi-professionals and smaller proprietors	0 (4.26)	2 (2.69)	1 (2.02)	15 (8.53)	3 (4.94)	113 (111.55)	134
Service and semi-skilled workers	0 (0.99)	1 (0.62)	0 (0.47)	4 (1.97)	3 (1.14)	23 (25.81)	31
[unknown]	2 (5.25)	0 (3.32)	7 (2.49)	11 (10.5)	7 (6.08)	138 (137.36)	165
unknown class	2 (0.48)	0 (0.3)	0 (0.23)	0 (0.95)	1 (0.55)	12 (12.49)	15
total	19	12	9	38	22	497	597

chi square wasn't calculated because 29 expected values were less than 5

Occupation class in 1890, by occupation class at enlistment (collapsed, excluding unknowns)

	Artisans	Manual laborers	Semi-professionals and smaller proprietors	Service and semi-skilled workers	total
Artisans	14 (6.86)	1 (1.93)	0 (4.5)	0 (1.71)	15
Manual laborers	5 (5.49)	4 (1.54)	2 (3.6)	1 (1.37)	12
Other	0 (0.91)	1 (0.26)	1 (0.6)	0 (0.23)	2
Semi-professionals and smaller proprietors	6 (12.34)	2 (3.47)	15 (8.1)	4 (3.09)	27
Service and semi-skilled workers	7 (6.4)	1 (1.8)	3 (4.2)	3 (1.6)	14
total	32	9	21	8	70

chi square wasn't calculated because 15 expected values were less than 5

Pennsylvania county living in, in 1890 census

Adams	49	7.1%
Allegheny	21	3.0%
Armstrong	6	0.9%
Beaver	1	0.1%
Bedford	43	6.2%
Berks	4	0.6%
Blair	21	3.0%
Bradford	2	0.3%
Bucks	9	1.3%
Butler	2	0.3%
Cambria	1	0.1%
Cameron	2	0.3%
Centre	5	0.7%
Chester	6	0.9%
Clarion	1	0.1%
Clearfield	1	0.1%
Clinton	1	0.1%
Columbia	2	0.3%
Cumberland	3	0.4%
Dauphin	5	0.7%
Delaware	10	1.4%
Erie	5	0.7%
Fayette	1	0.1%
Franklin	1	0.1%
Fulton	2	0.3%
Huntingdon	17	2.5%
Jefferson	2	0.3%
Juniata	3	0.4%
Lackawanna	2	0.3%
Lancaster	8	1.2%
Lebanon	1	0.1%
Luzerne	3	0.4%
Lycoming	6	0.9%
McKean	1	0.1%
Mercer	2	0.3%
Mifflin	1	0.1%
Monroe	1	0.1%
Montgomery	14	2.0%
Montour	1	0.1%
Northampton	4	0.6%
Northumberland	5	0.7%
Philadelphia	252	36.4%
Schuylkill	8	1.2%
Somerset	11	1.6%
Tioga	2	0.3%
Wayne	1	0.1%
Westmoreland	5	0.7%
York	2	0.3%
not Pennsylvania	137	19.8%

Found 1900 census entry

can't identify	29	1.4%
found	523	25.4%
not checked	1269	61.6%
not found	240	11.6%

Person found in 1900 census

soldier	416	79.5%
widow	107	20.5%

State living in, in 1900 census

Arizona	1	0.2%
Arkansas	1	0.2%
California	4	0.8%
Colorado	1	0.2%
Connecticut	1	0.2%
Georgia	1	0.2%
Illinois	10	1.9%
Indiana	2	0.4%
Iowa	4	0.8%
Kansas	7	1.3%
Kentucky	1	0.2%
Maine	3	0.6%
Maryland	9	1.7%
Massachusetts	3	0.6%
Michigan	5	1.0%
Minnesota	2	0.4%
Missouri	9	1.7%
Nebraska	9	1.7%
New Jersey	17	3.3%
New Mexico	1	0.2%
New York	9	1.7%
Ohio	10	1.9%
Pasa Caballos	1	0.2%
Pennsylvania	391	74.8%
Rhode Island	1	0.2%
Texas	2	0.4%
Utah	1	0.2%
Virginia	11	2.1%
Washington, District of Columbia	3	0.6%
West Virginia	2	0.4%
Wisconsin	1	0.2%

Occupation in 1900

NG	1	0.2%
US Mint	1	0.2%
[blank; probably none]	141	27.0%
[illegible]	2	0.4%
[illegible] roads foreman	1	0.2%
[stationary] engineer	1	0.2%
agt bureau character [?]	1	0.2%
attorney	1	0.2%
baggage maker	1	0.2%
baker	1	0.2%
bartender	1	0.2%
beamer	1	0.2%
blacksmith	4	0.8%
boilermaker	2	0.4%
bookbinder	1	0.2%
bookkeeper	2	0.4%
bottler (beer)	1	0.2%
bricklayer	1	0.2%
brickmaker	3	0.6%
builder	1	0.2%
cabinet maker	1	0.2%
capitalist	2	0.4%
carpenter	18	3.4%
carriage painter	1	0.2%
cashier	1	0.2%
church janitor	1	0.2%
cigar manufacturer	1	0.2%
cigarmaker	1	0.2%
clerk	1	0.2%
coach painter	1	0.2%
coal miner	1	0.2%
collar maker	1	0.2%
combmaker	1	0.2%
commercial traveller coffee spice	1	0.2%
cond rail road	1	0.2%
confectionary store	1	0.2%
cook boarding house	1	0.2%
day labor	2	0.4%
day laborer	30	5.7%
dealer heater [?] + rep [?]	1	0.2%
dealer in hides	1	0.2%
dentist	1	0.2%
detective	1	0.2%
driver	1	0.2%
dry goods merch	1	0.2%
dyer	1	0.2%
engineer	1	0.2%
ex. messenger	1	0.2%
expressman	1	0.2%
farm	1	0.2%
farm laborer	3	0.6%
farm labour	1	0.2%
farmer	90	17.2%
farmer and stonemason	1	0.2%
fireman	1	0.2%
flagman rr	1	0.2%
foreman	1	0.2%
foreman in ship yard	1	0.2%
furnishing store	1	0.2%
furrier	1	0.2%
gardener	2	0.4%
gent	1	0.2%
gentleman	2	0.4%
glass blower	2	0.4%
glass gatherer	1	0.2%
glass salesman	1	0.2%
government	1	0.2%
government employee	1	0.2%
govt clerk	1	0.2%
granite letterer	1	0.2%
grocery	1	0.2%
grocery clerk	1	0.2%
harness maker	1	0.2%
horse dealer	1	0.2%
house and sign painter	1	0.2%
house carpenter	3	0.6%
house painter	6	1.1%
huckster	1	0.2%
huckster (produce)	1	0.2%
inspector US gov	1	0.2%
insurance agent	1	0.2%
janitor	1	0.2%
jeweller	1	0.2%
justice of peace	1	0.2%
justice of the peace	1	0.2%
labor	1	0.2%
labor boss (railroad)	1	0.2%
labor in timber	1	0.2%
laborer	12	2.3%
laborer (farm)	1	0.2%
laborer (tannery)	1	0.2%
laborer comm	1	0.2%
laborer water bureau	1	0.2%
lamplighter	1	0.2%
landlord	2	0.4%
letter carrier	3	0.6%
life insurance agent	1	0.2%
litho printer	1	0.2%
locksmith	1	0.2%
locomotive engineer	2	0.4%
loom fixer	1	0.2%
machinist	2	0.4%
machinist helper	1	0.2%
machinist laborer	1	0.2%
major	1	0.2%
manufacturer shirts	1	0.2%
mason	3	0.6%
mechan engineer	1	0.2%
mer dry goods + groc	1	0.2%
merchant art materials	1	0.2%
merchant--provisions	1	0.2%
messenger Navy Yard	1	0.2%
military clerk	1	0.2%
milk dealer	1	0.2%
miller	1	0.2%
mincemeat agt	1	0.2%
miner	1	0.2%
minister	4	0.8%
morocco dresser	1	0.2%
morocco worker	1	0.2%
moulder	1	0.2%
night watchman	1	0.2%
none	1	0.2%
nothing	1	0.2%
oil producer	1	0.2%
paint [illegible] bus	1	0.2%
painter	2	0.4%
painter + paper hanger	1	0.2%
park gardener	1	0.2%
pattern maker	1	0.2%
peddler	1	0.2%
pensioner	1	0.2%
photographer	1	0.2%
physician	5	1.0%
pipe cutter	1	0.2%
plasterer	3	0.6%
policeman	1	0.2%
polisher	1	0.2%
president	1	0.2%
presser	1	0.2%
printer	1	0.2%
professor of music	1	0.2%
provision dealer	1	0.2%
r r clerk	1	0.2%
railroad engineer	1	0.2%
real estate	2	0.4%
restaurant keeper	1	0.2%
retired	4	0.8%
retired farmer	1	0.2%
retired soldier	1	0.2%
sailor	1	0.2%
salesman	2	0.4%
salesman furniture	1	0.2%
salesman groceries	1	0.2%
salesman metal	1	0.2%
salesman--grocery	1	0.2%
sawmill laborer	1	0.2%
school teach	1	0.2%
secretary Grand Lodge K of P	1	0.2%
sewing machine dealer	1	0.2%
shoemaker	4	0.8%
sign painter	1	0.2%
slater	1	0.2%
spring manufacturer	1	0.2%
stationary engineer	4	0.8%
steam engineer	1	0.2%
steward	2	0.4%
stone cutter	2	0.4%
stove moulder	1	0.2%
tailor	1	0.2%
tailor (operator)	1	0.2%
teamster	2	0.4%
tin roofer	1	0.2%
tinsmith	1	0.2%
tipstaff	1	0.2%
tobacco salesman	1	0.2%
undertaker	1	0.2%
upholsterer	1	0.2%
watchman	3	0.6%
well driller	1	0.2%
wholesale groc	1	0.2%
wool dresser	1	0.2%

Occupation class in 1900

Artisans	79	21.8%
Manual laborers	64	17.7%
Not in labor force	12	3.3%
Professionals and large proprietors	24	6.6%
Semi-professionals and smaller proprietors	136	37.6%
Service and semi-skilled workers	32	8.8%
[unknown]	161	%
unknown class	15	4.1%

Occupation class in 1900, by occupation class at enlistment

	Artisans	Manual laborers	Professionals and large proprietors	Semi-professionals and smaller proprietors	Service and semi-skilled workers	[unknown]	unknown class	total
Artisans	35 (18.61)	10 (13.86)	1 (0.95)	11 (18.61)	2 (4.37)	18 (20.89)	2 (1.71)	79
Manual laborers	4 (15.08)	20 (11.23)	0 (0.77)	13 (15.08)	7 (3.54)	19 (16.92)	1 (1.38)	64
Not in labor force	2 (2.83)	0 (2.11)	0 (0.14)	5 (2.83)	1 (0.66)	4 (3.17)	0 (0.26)	12
Professionals and large proprietors	6 (5.65)	1 (4.21)	0 (0.29)	3 (5.65)	0 (1.33)	12 (6.35)	2 (0.52)	24
Semi-professionals and smaller proprietors	24 (32.04)	26 (23.87)	0 (1.63)	49 (32.04)	3 (7.52)	32 (35.96)	2 (2.94)	136
Service and semi-skilled workers	7 (7.54)	5 (5.62)	1 (0.38)	8 (7.54)	5 (1.77)	6 (8.46)	0 (0.69)	32
[unknown]	11 (12.72)	10 (9.48)	3 (0.65)	7 (12.72)	5 (2.99)	16 (14.28)	2 (1.17)	54
unknown class	9 (3.53)	1 (2.63)	0 (0.18)	2 (3.53)	0 (0.83)	3 (3.97)	0 (0.32)	15
total	98	73	5	98	23	110	9	416

chi square wasn't calculated because 32 expected values were less than 5

Occupation class in 1900, by occupation class at enlistment (collapsed, excluding unknowns)

	Artisans	Manual laborers	Other	Semi-professionals and smaller proprietors	Service and semi-skilled workers	total
Artisans	35 (18.48)	10 (14.69)	1 (0.47)	11 (21.09)	2 (4.27)	59
Manual laborers	4 (13.78)	20 (10.96)	0 (0.35)	13 (15.73)	7 (3.18)	44
Other	8 (5.64)	1 (4.48)	0 (0.14)	8 (6.43)	1 (1.3)	18
Semi-professionals and smaller proprietors	24 (31.95)	26 (25.4)	0 (0.82)	49 (36.46)	3 (7.37)	102
Service and semi-skilled workers	7 (8.14)	5 (6.47)	1 (0.21)	8 (9.29)	5 (1.88)	26
total	78	62	2	89	18	249

chi square wasn't calculated because 10 expected values were less than 5

Relation to head of household in 1900 census

?	1	0.2%
aunt	1	0.2%
boarder	19	3.6%
brother	4	0.8%
brother-in-law	3	0.6%
father	12	2.3%
father-in-law	7	1.3%
foster-parent	1	0.2%
grandfather	1	0.2%
head	408	78.0%
inmate	15	2.9%
lodger	3	0.6%
mother	16	3.1%
mother-in-law	13	2.5%
roomer	1	0.2%
servant	1	0.2%
sister	2	0.4%
sister-in-law	1	0.2%
son	3	0.6%
son-in-law	1	0.2%
wife	10	1.9%

Relation to head of household in 1900 census (collapsed)

[unknown]	1	%
boarder or lodger	23	4.4%
child	4	0.8%
head	408	78.2%
other	26	5.0%
other family	12	2.3%
parent	49	9.4%

Relation to head of household in 1900 census (by person found)

	soldier	widow	total
?	1 (0.8)	0 (0.2)	1
aunt	0 (0.8)	1 (0.2)	1
boarder	17 (15.11)	2 (3.89)	19
brother	4 (3.18)	0 (0.82)	4
brother-in-law	3 (2.39)	0 (0.61)	3
father	12 (9.54)	0 (2.46)	12
father-in-law	7 (5.57)	0 (1.43)	7
foster-parent	1 (0.8)	0 (0.2)	1
grandfather	1 (0.8)	0 (0.2)	1
head	347 (324.53)	61 (83.47)	408
inmate	14 (11.93)	1 (3.07)	15
lodger	3 (2.39)	0 (0.61)	3
mother	0 (12.73)	16 (3.27)	16
mother-in-law	0 (10.34)	13 (2.66)	13
roomer	1 (0.8)	0 (0.2)	1
servant	1 (0.8)	0 (0.2)	1
sister	0 (1.59)	2 (0.41)	2
sister-in-law	0 (0.8)	1 (0.2)	1
son	3 (2.39)	0 (0.61)	3
son-in-law	1 (0.8)	0 (0.2)	1
wife	0 (7.95)	10 (2.05)	10
total	416	107	523

chi square wasn't calculated because 33 expected values were less than 5

Relation to head of household in 1900 census (by person found) (collapsed)

	soldier	widow	total
[unknown]	1 (0.8)	0 (0.2)	1
boarder or lodger	21 (18.29)	2 (4.71)	23
child	4 (3.18)	0 (0.82)	4
head	347 (324.53)	61 (83.47)	408
other	15 (20.68)	11 (5.32)	26
other family	8 (9.54)	4 (2.46)	12
parent	20 (38.98)	29 (10.02)	49
total	416	107	523

chi square wasn't calculated because 6 expected values were less than 5

House owned or rented, in 1900 census

	soldier	widow	total
[unknown]	3 (2.39)	0 (0.61)	3
not head	67 (89.09)	45 (22.91)	112
owned	196 (182.94)	34 (47.06)	230
rented	150 (141.58)	28 (36.42)	178
total	416	107	523

chi square wasn't calculated because 2 expected values were less than 5

House or farm, in 1900 census

	soldier	widow	total
farm	115 (108.97)	22 (28.03)	137
house	301 (307.03)	85 (78.97)	386
total	416	107	523

values in parentheses are expected values
degrees of freedom: 1
chi-square: 2.21
p < 0.15
Cramer's V: 0.07

House mortgaged or free, in 1900 census

	soldier	widow	total
[not head]	69 (91.47)	46 (23.53)	115
[unknown]	9 (7.95)	1 (2.05)	10
free	132 (123.29)	23 (31.71)	155
mortgaged	58 (54.09)	10 (13.91)	68
not owned	148 (139.2)	27 (35.8)	175
total	416	107	523

values in parentheses are expected values
degrees of freedom: 4
chi-square: 34.76
p < 5.0E-4
Cramer's V: 0.26

Marital status in 1900 census

married	337	64.6%
widow	107	20.5%
widower	55	10.5%
single	20	3.8%
divorced	3	0.6%
[unknown]	1	%

Spouse name in 1900

	79	15.3%
Mary	32	6.2%
Elizabeth	20	3.9%
Sarah	17	3.3%
Margaret	13	2.5%
Emma	9	1.7%
Martha	9	1.7%
Annie	9	1.7%
Eliza	7	1.4%
[unknown]	7	%
Susan	7	1.4%
Catharine	7	1.4%
Mary#A	6	1.2%
Rebecca	6	1.2%
Mary#E	6	1.2%
Mary#J	5	1.0%
Sarah#E	5	1.0%
Catherine	5	1.0%
Harriet	4	0.8%
Barbara	4	0.8%
Fannie	4	0.8%
Julia	4	0.8%
Agnes	4	0.8%
Isabella	4	0.8%
Maria	3	0.6%
Jennie	3	0.6%
Sophia	3	0.6%
Nellie	3	0.6%
Matilda	3	0.6%
Lucy#A	3	0.6%
Hannah#M	3	0.6%
Annie#M	3	0.6%
Louisa	3	0.6%
Sarah#A	3	0.6%
Hannah	2	0.4%
Sallie	2	0.4%
Susanna	2	0.4%
Henrietta	2	0.4%
Mary#Ann	2	0.4%
Margaret#J	2	0.4%
Francis#H	2	0.4%
Kate	2	0.4%
Jane	2	0.4%
Annie#E	2	0.4%
Esther	2	0.4%
Jennie#V	2	0.4%
Louisa#M	2	0.4%
Elmira	2	0.4%
Martha#J	2	0.4%
Caroline	2	0.4%
Sarah#M	2	0.4%
Josephine	2	0.4%
Ellen	2	0.4%
Virginia	2	0.4%
Ella	2	0.4%
Catherine#R	2	0.4%
A#Mary	1	0.2%
Susan#P	1	0.2%
Christianna	1	0.2%
Mary#D	1	0.2%
Anne#E	1	0.2%
Katie	1	0.2%
Catherine#A	1	0.2%
Sarah#H	1	0.2%
Mary#H	1	0.2%
Barbry#M	1	0.2%
[illegible]	1	0.2%
Ida#R	1	0.2%
Lottie	1	0.2%
Julia#A	1	0.2%
Sarah#J	1	0.2%
Margaret#C	1	0.2%
Catharine#A	1	0.2%
Catharine#C	1	0.2%
Lavinia#A	1	0.2%
Maria#A	1	0.2%
Catherine#S	1	0.2%
Matilda#A	1	0.2%
Millie	1	0.2%
Phillippina	1	0.2%
Maria#L	1	0.2%
Catherine#E	1	0.2%
Lydia#A	1	0.2%
Liddie#B	1	0.2%
Rosie	1	0.2%
Annie#J	1	0.2%
Sallyann	1	0.2%
Amanda	1	0.2%
Ann#Lizzie	1	0.2%
Rosanna	1	0.2%
Anna#E	1	0.2%
Frederice	1	0.2%
Lydia	1	0.2%
Harriet#M	1	0.2%
Allie#B	1	0.2%
Elizabeth#C	1	0.2%
Sylvania#P	1	0.2%
Lucia	1	0.2%
Elizabeth#A	1	0.2%
Emma#M	1	0.2%
Christiana	1	0.2%
Naomi	1	0.2%
Louise	1	0.2%
Janet#W	1	0.2%
Lara#G	1	0.2%
Sara#J	1	0.2%
Savina	1	0.2%
Hattie	1	0.2%
Susan#R	1	0.2%
Lydia#M	1	0.2%
Emily	1	0.2%
Mary#G	1	0.2%
Anna#P	1	0.2%
Josephine#M	1	0.2%
I#Julia	1	0.2%
Maria#E	1	0.2%
Rosan	1	0.2%
Addie	1	0.2%
Laura	1	0.2%
Ester	1	0.2%
Annie#G	1	0.2%
Martha#E	1	0.2%
Mariah	1	0.2%
Clara#E	1	0.2%
Helen	1	0.2%
Virginia#T	1	0.2%
Aletha	1	0.2%
Florence	1	0.2%
Henrietta#C	1	0.2%
Emily#D	1	0.2%
Elizebeth	1	0.2%
Francis	1	0.2%
Fannie#B	1	0.2%
Anna#C	1	0.2%
Hanne	1	0.2%
Katharine	1	0.2%
Mattie	1	0.2%
Sarah#D	1	0.2%
Delia	1	0.2%
Malissa	1	0.2%
Susan#C	1	0.2%
Lizzie	1	0.2%
Martha#K	1	0.2%
Elisa	1	0.2%
Elizabeth#E	1	0.2%
Amy	1	0.2%
Sophia#A	1	0.2%
Hetty#F#Snyder	1	0.2%
Nancy	1	0.2%
Harriett	1	0.2%
Caroline#E	1	0.2%
Margaret#F	1	0.2%
Mercy#A	1	0.2%
Abigail	1	0.2%
Cecilia#C	1	0.2%
Marietta	1	0.2%
Annie#C	1	0.2%
Jennie#G	1	0.2%
Maggie	1	0.2%
Anna#M	1	0.2%
Anna#May	1	0.2%
Sarah#P	1	0.2%
Emma#E	1	0.2%
Rebecca#L	1	0.2%
Sophia#H	1	0.2%
Margaret#S	1	0.2%
Adelle#E	1	0.2%
Emma#L	1	0.2%
:Levina	1	0.2%
Elizabeth#B	1	0.2%
Julianne	1	0.2%
Christina#W	1	0.2%
Emily#E	1	0.2%
Mary#B	1	0.2%
Ottilia#Q	1	0.2%
Dorothea	1	0.2%
Susana	1	0.2%
Virginia#M	1	0.2%
Melodia#B	1	0.2%
Annie#R	1	0.2%
Amand#E	1	0.2%
Clara#M	1	0.2%
Bridget	1	0.2%
M#S	1	0.2%
Abbie	1	0.2%
Lara	1	0.2%
Lillie	1	0.2%
Caroline#C	1	0.2%
Sarah#C	1	0.2%
Susan#M	1	0.2%
Ann#M	1	0.2%
Rhuhanna	1	0.2%
E#Ellih	1	0.2%
Elizabeth#M	1	0.2%
Winifred	1	0.2%
Henrietta#R	1	0.2%
Rachel	1	0.2%
Katharine#E	1	0.2%
Debora	1	0.2%
Emma#J	1	0.2%
Mary#L	1	0.2%
Medora#H	1	0.2%
Sallie#J#H	1	0.2%
Marcia	1	0.2%
Clementine	1	0.2%
Susan#S	1	0.2%
Elsie	1	0.2%
Mary#S	1	0.2%
Carrie	1	0.2%
Cornelia	1	0.2%
Mary#C	1	0.2%
Hanah	1	0.2%
Elisabeth	1	0.2%
Kate#E	1	0.2%
Mary#W	1	0.2%
Maria#J#Brown	1	0.2%
Elvira	1	0.2%
Nancy#E	1	0.2%
Frances	1	0.2%
Tresia	1	0.2%
Mary#K	1	0.2%
Parthena#P	1	0.2%
Lucinda	1	0.2%
Margarett	1	0.2%
Susan#J	1	0.2%
Jermimah	1	0.2%
Bertha	1	0.2%
Emeline#C	1	0.2%
Ellen#M	1	0.2%
Sara#B	1	0.2%
Corinne	1	0.2%
Julia#S	1	0.2%

Number of years married, in 1900 census

not married	186	35.6%
34	27	5.2%
32	22	4.2%
30	22	4.2%
33	20	3.8%
31	19	3.6%
38	11	2.1%
39	11	2.1%
37	10	1.9%
27	10	1.9%
42	10	1.9%
25	9	1.7%
26	9	1.7%
35	9	1.7%
29	9	1.7%
18	8	1.5%
36	8	1.5%
20	7	1.3%
50	7	1.3%
43	7	1.3%
22	6	1.1%
23	6	1.1%
48	6	1.1%
17	6	1.1%
28	5	1.0%
40	5	1.0%
47	5	1.0%
8	4	0.8%
	4	0.8%
15	4	0.8%
45	4	0.8%
19	4	0.8%
3	4	0.8%
41	4	0.8%
13	3	0.6%
51	3	0.6%
10	3	0.6%
12	3	0.6%
46	2	0.4%
6	2	0.4%
24	2	0.4%
14	2	0.4%
52	2	0.4%
44	2	0.4%
0	1	0.2%
5	1	0.2%
2	1	0.2%
11	1	0.2%
54	1	0.2%
9	1	0.2%
57	1	0.2%
16	1	0.2%
4	1	0.2%
7	1	0.2%
53	1	0.2%

Number of children of spouse or widow, in 1900 census

0	34	6.5%
1	46	8.8%
10	21	4.0%
11	6	1.1%
12	14	2.7%
13	7	1.3%
14	1	0.2%
15	1	0.2%
2	35	6.7%
3	40	7.6%
4	44	8.4%
5	47	9.0%
6	37	7.1%
7	46	8.8%
8	21	4.0%
9	25	4.8%
[no data]	98	18.7%

Average number of children of spouse or widow, in 1900 census

based on 425 instances
minimum	0 children
maximum	15 children
median	5 children
mode	5: 47 instances
mean	5.1 children
standard deviation	5.1

Number of live children of spouse or widow, in 1900 census

0	53	10.1%
1	61	11.7%
10	4	0.8%
11	1	0.2%
13	1	0.2%
2	59	11.3%
3	52	9.9%
4	60	11.5%
5	51	9.8%
6	31	5.9%
7	26	5.0%
8	19	3.6%
9	8	1.5%
[no data]	97	18.5%

Average number of living children of spouse or widow, in 1900 census

based on 426 instances
minimum	0 children
maximum	13 children
median	3.0 children
mode	1: 61 instances
mean	3.5 children
standard deviation	3.5

Percent of children of spouse or widow living, in 1900 census

0.0	19	3.6%
100.0	116	22.2%
14.0	1	0.2%
20.0	4	0.8%
22.0	2	0.4%
25.0	4	0.8%
29.0	1	0.2%
31.0	1	0.2%
33.0	8	1.5%
40.0	11	2.1%
42.0	4	0.8%
43.0	5	1.0%
44.0	4	0.8%
45.0	1	0.2%
50.0	37	7.1%
54.0	1	0.2%
56.0	3	0.6%
57.0	8	1.5%
58.0	3	0.6%
60.0	13	2.5%
63.0	3	0.6%
64.0	2	0.4%
67.0	28	5.4%
69.0	3	0.6%
70.0	5	1.0%
71.0	11	2.1%
73.0	1	0.2%
75.0	16	3.1%
77.0	1	0.2%
78.0	2	0.4%
80.0	20	3.8%
83.0	18	3.4%
86.0	12	2.3%
88.0	7	1.3%
89.0	9	1.7%
9.0	1	0.2%
90.0	3	0.6%
91.0	2	0.4%
92.0	1	0.2%
[no children]	34	6.5%
[no data]	98	18.7%

Number of years married, in 1900 census--average

based on 333 instances
minimum	0 years
maximum	57 years
median	32 years
mode	34: 27 instances
mean	30.9 years
standard deviation	30.93

Immigrated, in 1900 census

	soldier	widow	total
1837	1 (0.8)	0 (0.2)	1
1841	2 (1.59)	0 (0.41)	2
1843	1 (0.8)	0 (0.2)	1
1844	2 (1.59)	0 (0.41)	2
1845	1 (0.8)	0 (0.2)	1
1846	1 (0.8)	0 (0.2)	1
1847	2 (1.59)	0 (0.41)	2
1848	2 (1.59)	0 (0.41)	2
1849	3 (2.39)	0 (0.61)	3
1850	4 (3.18)	0 (0.82)	4
1852	6 (4.77)	0 (1.23)	6
1853	2 (1.59)	0 (0.41)	2
1854	3 (2.39)	0 (0.61)	3
1855	4 (3.18)	0 (0.82)	4
1856	1 (0.8)	0 (0.2)	1
1857	3 (2.39)	0 (0.61)	3
1858	1 (0.8)	0 (0.2)	1
1859	2 (1.59)	0 (0.41)	2
1860	1 (0.8)	0 (0.2)	1
1861	1 (0.8)	0 (0.2)	1
1862	2 (1.59)	0 (0.41)	2
1863	2 (1.59)	0 (0.41)	2
1864	2 (1.59)	0 (0.41)	2
1869	1 (0.8)	0 (0.2)	1
50	1 (0.8)	0 (0.2)	1
54	1 (0.8)	0 (0.2)	1
?	2 (1.59)	0 (0.41)	2
[not immigrant]	361 (287.14)	0 (73.86)	361
[not recorded]	0 (85.11)	107 (21.89)	107
[unknown]	1 (0.8)	0 (0.2)	1
total	416	107	523

chi square wasn't calculated because 56 expected values were less than 5

Citizenship in 1900 census

	soldier	widow	total
[not recorded]	0 (85.11)	107 (21.89)	107
[unknown]	4 (3.18)	0 (0.82)	4
alien	1 (0.8)	0 (0.2)	1
naturalized	46 (36.59)	0 (9.41)	46
not listed (citizen)	365 (290.33)	0 (74.67)	365
total	416	107	523

chi square wasn't calculated because 4 expected values were less than 5

Number of months unemployed, in 1900 census

0	225	54.1%
1	3	0.7%
10	6	1.4%
11	2	0.5%
12	12	2.9%
2	7	1.7%
3	12	2.9%
4	12	2.9%
5	3	0.7%
6	22	5.3%
7	5	1.2%
8	6	1.4%
9	2	0.5%
[blank; probably 0]	99	23.8%

Whether unemployed, by relation to head of household, in 1900 census

	not unemployed	unemployed	total
?	1 (0.78)	0 (0.22)	1
boarder	14 (13.24)	3 (3.76)	17
brother	1 (3.12)	3 (0.88)	4
brother-in-law	1 (2.34)	2 (0.66)	3
father	10 (9.35)	2 (2.65)	12
father-in-law	5 (5.45)	2 (1.55)	7
foster-parent	1 (0.78)	0 (0.22)	1
grandfather	1 (0.78)	0 (0.22)	1
head	269 (270.26)	78 (76.74)	347
inmate	14 (10.9)	0 (3.1)	14
lodger	2 (2.34)	1 (0.66)	3
roomer	1 (0.78)	0 (0.22)	1
servant	1 (0.78)	0 (0.22)	1
son	2 (2.34)	1 (0.66)	3
son-in-law	1 (0.78)	0 (0.22)	1
total	324	92	416

chi square wasn't calculated because 24 expected values were less than 5

Whether unemployed, by relation to head of household (collapsed), in 1900 census

	not unemployed	unemployed	total
[unknown]	1 (0.78)	0 (0.22)	1
boarder or lodger	17 (16.36)	4 (4.64)	21
child	3 (3.12)	1 (0.88)	4
head	269 (270.26)	78 (76.74)	347
other	15 (11.68)	0 (3.32)	15
other family	3 (6.23)	5 (1.77)	8
parent	16 (15.58)	4 (4.42)	20
total	324	92	416

chi square wasn't calculated because 8 expected values were less than 5

Whether unemployed, by occupation class, in 1900 census

	not unemployed	unemployed	total
Artisans	52 (61.53)	27 (17.47)	79
Manual laborers	26 (49.85)	38 (14.15)	64
Not in labor force	10 (9.35)	2 (2.65)	12
Professionals and large proprietors	23 (18.69)	1 (5.31)	24
Semi-professionals and smaller proprietors	124 (105.92)	12 (30.08)	136
Service and semi-skilled workers	22 (24.92)	10 (7.08)	32
[unknown]	54 (42.06)	0 (11.94)	54
unknown class	13 (11.68)	2 (3.32)	15
total	324	92	416

values in parentheses are expected values
degrees of freedom: 7
chi-square: 94.49
p < 5.0E-4
Cramer's V: 0.48

Whether unemployed, by occupation class (collapsed), in 1900 census

	not unemployed	unemployed	total
Artisans	52 (61.53)	27 (17.47)	79
Manual laborers	26 (49.85)	38 (14.15)	64
Other	33 (28.04)	3 (7.96)	36
Semi-professionals and smaller proprietors	124 (105.92)	12 (30.08)	136
Service and semi-skilled workers	22 (24.92)	10 (7.08)	32
[unknown]	54 (42.06)	0 (11.94)	54
unknown class	13 (11.68)	2 (3.32)	15
total	324	92	416

values in parentheses are expected values
degrees of freedom: 6
chi-square: 93.76
p < 5.0E-4
Cramer's V: 0.47

Pennsylvania county living in, in 1900 census

Adams	39	7.5%
Allegheny	12	2.3%
Armstrong	6	1.1%
Beaver	1	0.2%
Bedford	32	6.1%
Berks	5	1.0%
Blair	14	2.7%
Bradford	1	0.2%
Bucks	8	1.5%
Butler	3	0.6%
Cambria	1	0.2%
Cameron	1	0.2%
Centre	3	0.6%
Chester	6	1.1%
Clarion	1	0.2%
Clinton	1	0.2%
Columbia	2	0.4%
Dauphin	3	0.6%
Delaware	8	1.5%
Fayette	1	0.2%
Franklin	1	0.2%
Fulton	1	0.2%
Huntingdon	9	1.7%
Jefferson	2	0.4%
Juniata	2	0.4%
Lackawanna	2	0.4%
Lancaster	7	1.3%
Lehigh	1	0.2%
Luzerne	4	0.8%
Lycoming	3	0.6%
Mercer	2	0.4%
Mifflin	1	0.2%
Monroe	1	0.2%
Montgomery	13	2.5%
Montour	1	0.2%
Northampton	2	0.4%
Northumberland	5	1.0%
Perry	1	0.2%
Philadelphia	157	30.0%
Potter	1	0.2%
Schuylkill	4	0.8%
Somerset	10	1.9%
Tioga	3	0.6%
Wayne	2	0.4%
Westmoreland	5	1.0%
York	3	0.6%
not Pennsylvania	132	25.2%

Found 1910 census entry

can't identify	25	1.2%
found	392	19.0%
not checked	1330	64.5%
not found	314	15.2%

Person found in 1910 census

soldier	253	64.5%
widow	139	35.5%

State living in, in 1910 census

Arkansas	1	0.3%
California	4	1.0%
Colorado	1	0.3%
Georgia	1	0.3%
Illinois	10	2.6%
Indiana	2	0.5%
Iowa	3	0.8%
Kansas	6	1.5%
Kentucky	1	0.3%
Maryland	4	1.0%
Massachusetts	2	0.5%
Michigan	4	1.0%
Minnesota	2	0.5%
Missouri	8	2.0%
Nebraska	3	0.8%
New Jersey	13	3.3%
New Mexico	1	0.3%
New York	5	1.3%
Ohio	11	2.8%
Oklahoma	2	0.5%
Pennsylvania	287	73.2%
Tennessee	2	0.5%
Texas	2	0.5%
Utah	1	0.3%
Virginia	4	1.0%
Washington	1	0.3%
Washington, District of Columbia	6	1.5%
West Virginia	2	0.5%
Wisconsin	2	0.5%
Wyoming	1	0.3%

Occupation in 1910

[blank; probably none]	152	38.8%
[illegible]	2	0.5%
bank clerk	1	0.3%
blacksmith	2	0.5%
blacksmith--machine	1	0.3%
boarding house proprieter	1	0.3%
boltmaker	1	0.3%
bookbinder	1	0.3%
bookkeeper	1	0.3%
bookkeeper at a bank	1	0.3%
carpenter	2	0.5%
carpenter--farm machine	1	0.3%
cigarmaker	1	0.3%
clerk at Navy Yard	1	0.3%
clerk--r r office	1	0.3%
coal miner	1	0.3%
commercial salesman	1	0.3%
commercial traveler	1	0.3%
conductor rail road	1	0.3%
cook at railroad camp	1	0.3%
cook--mess hall	1	0.3%
day watchman	1	0.3%
dentist	1	0.3%
employee Mint	1	0.3%
engineer Pennsylvania R R	1	0.3%
engineer at planing [?] mill	1	0.3%
exSoldier	1	0.3%
farm laborer	1	0.3%
farmer	28	7.1%
farmer (fruit farm)	1	0.3%
farmer (home farm)	1	0.3%
farmer--general farm	13	3.3%
farming	1	0.3%
gardener	1	0.3%
general house carpenter	1	0.3%
home carpenter	1	0.3%
house carpenter	6	1.5%
house painter	2	0.5%
house plasterer	1	0.3%
insurance agent	1	0.3%
jail guard	1	0.3%
janitor	1	0.3%
journeyman carpenter	1	0.3%
judge district court	1	0.3%
justice of peace	1	0.3%
laborer	1	0.3%
laborer at brick work	1	0.3%
laborer--coal mine	1	0.3%
laborer--odd jobs	7	1.8%
lamplighter	1	0.3%
laundry foreman	1	0.3%
letter carrier	2	0.5%
letter carrier US Govt	1	0.3%
liquor dealer	1	0.3%
locksmith--shop	1	0.3%
machinist	1	0.3%
mason and engineman--coal mine	1	0.3%
mech engr	1	0.3%
merchant mantels - tiles	1	0.3%
messenger USN	1	0.3%
messenger at US Arsenal	1	0.3%
minister	2	0.5%
minister Holiness Church	1	0.3%
musical [illegible]	1	0.3%
night watchman	1	0.3%
none	38	9.7%
own income	36	9.2%
painter	1	0.3%
pensioner	1	0.3%
physician	2	0.5%
physician (general practice)	1	0.3%
pipe cutter	1	0.3%
plasterer	2	0.5%
police inspector	1	0.3%
poultry man	1	0.3%
president trust company	1	0.3%
proprietor saddle shop	1	0.3%
real estate broker	1	0.3%
real estate salesman	1	0.3%
retail merchant	1	0.3%
retail merchant--grocery st	1	0.3%
retired	7	1.8%
retired carpenter	1	0.3%
retired farmer	2	0.5%
retired general	1	0.3%
saddler	1	0.3%
salesman metal company	1	0.3%
salesman--brooms	1	0.3%
salesman--patent medicine	1	0.3%
saloon	1	0.3%
sawyer at sawmill	1	0.3%
stationary engineer	1	0.3%
stone mason	1	0.3%
superintendent	1	0.3%
superintendent Masonic Temple	1	0.3%
tailor	1	0.3%
teamster	1	0.3%
teamster at turning works	1	0.3%
timekeeper	1	0.3%
toll gathering agent	1	0.3%
travelling salesman	1	0.3%
undertaker	1	0.3%
watchman	1	0.3%
wholesale dealer--produce	1	0.3%

Occupation class in 1910

Artisans	28	11.9%
Manual laborers	16	6.8%
Not in labor force	87	37.0%
Professionals and large proprietors	13	5.5%
Semi-professionals and smaller proprietors	73	31.1%
Service and semi-skilled workers	16	6.8%
[unknown]	157	%
unknown class	2	0.9%

Occupation class in 1910, by occupation class at enlistment

	Artisans	Manual laborers	Professionals and large proprietors	Semi-professionals and smaller proprietors	Service and semi-skilled workers	[unknown]	unknown class	total
Artisans	11 (6.09)	3 (5.2)	0 (0.22)	5 (6.64)	2 (1.44)	6 (7.97)	1 (0.44)	28
Manual laborers	1 (3.48)	8 (2.97)	0 (0.13)	2 (3.79)	2 (0.82)	3 (4.55)	0 (0.25)	16
Not in labor force	20 (18.91)	14 (16.16)	0 (0.69)	20 (20.63)	3 (4.47)	28 (24.76)	2 (1.38)	87
Professionals and large proprietors	3 (2.83)	0 (2.42)	0 (0.1)	3 (3.08)	0 (0.67)	6 (3.7)	1 (0.21)	13
Semi-professionals and smaller proprietors	11 (15.87)	16 (13.56)	1 (0.58)	19 (17.31)	3 (3.75)	23 (20.77)	0 (1.15)	73
Service and semi-skilled workers	5 (3.48)	3 (2.97)	0 (0.13)	5 (3.79)	2 (0.82)	1 (4.55)	0 (0.25)	16
[unknown]	3 (3.91)	3 (3.34)	1 (0.14)	5 (4.27)	1 (0.92)	5 (5.12)	0 (0.28)	18
unknown class	1 (0.43)	0 (0.37)	0 (0.02)	1 (0.47)	0 (0.1)	0 (0.57)	0 (0.03)	2
total	55	47	2	60	13	72	4	253

chi square wasn't calculated because 43 expected values were less than 5

Occupation class in 1910, by occupation class at enlistment (collapsed, excluding unknowns)

	Artisans	Manual laborers	Other	Semi-professionals and smaller proprietors	Service and semi-skilled workers	total
Artisans	11 (6.61)	3 (5.7)	0 (0.13)	5 (7.0)	2 (1.56)	21
Manual laborers	1 (4.09)	8 (3.53)	0 (0.08)	2 (4.33)	2 (0.96)	13
Other	23 (19.83)	14 (17.11)	0 (0.39)	23 (21.0)	3 (4.67)	63
Semi-professionals and smaller proprietors	11 (15.74)	16 (13.58)	1 (0.31)	19 (16.67)	3 (3.7)	50
Service and semi-skilled workers	5 (4.72)	3 (4.07)	0 (0.09)	5 (5.0)	2 (1.11)	15
total	51	44	1	54	12	162

chi square wasn't calculated because 15 expected values were less than 5

Relation to head of household in 1910 census

?	1	0.3%
aunt	1	0.3%
blank	1	0.3%
boarder	11	2.8%
brother-in-law	1	0.3%
father	15	3.8%
father-in-law	12	3.1%
grandfather	1	0.3%
grandmother	2	0.5%
head	273	69.6%
housekeeper	1	0.3%
inmate	16	4.1%
lodger	5	1.3%
mother	17	4.3%
mother-in-law	22	5.6%
none	1	0.3%
roomer	1	0.3%
sister	1	0.3%
sister-in-law	2	0.5%
son	1	0.3%
uncle	1	0.3%
wife	6	1.5%

Relation to head of household in 1910 census (collapsed)

head	273	69.8%
parent	66	16.9%
other	25	6.4%
boarder or lodger	17	4.3%
other family	9	2.3%
child	1	0.3%
[unknown]	1	%

Relation to head of household in 1910 census (by person found)

	soldier	widow	total
?	1 (0.65)	0 (0.35)	1
aunt	0 (0.65)	1 (0.35)	1
blank	1 (0.65)	0 (0.35)	1
boarder	4 (7.1)	7 (3.9)	11
brother-in-law	1 (0.65)	0 (0.35)	1
father	15 (9.68)	0 (5.32)	15
father-in-law	12 (7.74)	0 (4.26)	12
grandfather	1 (0.65)	0 (0.35)	1
grandmother	0 (1.29)	2 (0.71)	2
head	198 (176.2)	75 (96.8)	273
housekeeper	0 (0.65)	1 (0.35)	1
inmate	16 (10.33)	0 (5.67)	16
lodger	1 (3.23)	4 (1.77)	5
mother	0 (10.97)	17 (6.03)	17
mother-in-law	0 (14.2)	22 (7.8)	22
none	0 (0.65)	1 (0.35)	1
roomer	1 (0.65)	0 (0.35)	1
sister	0 (0.65)	1 (0.35)	1
sister-in-law	0 (1.29)	2 (0.71)	2
son	1 (0.65)	0 (0.35)	1
uncle	1 (0.65)	0 (0.35)	1
wife	0 (3.87)	6 (2.13)	6
total	253	139	392

chi square wasn't calculated because 32 expected values were less than 5

Relation to head of household in 1910 census (by person found) (collapsed)

	soldier	widow	total
[unknown]	1 (0.65)	0 (0.35)	1
boarder or lodger	6 (10.97)	11 (6.03)	17
child	1 (0.65)	0 (0.35)	1
head	198 (176.2)	75 (96.8)	273
other	17 (16.14)	8 (8.86)	25
other family	3 (5.81)	6 (3.19)	9
parent	27 (42.6)	39 (23.4)	66
total	253	139	392

chi square wasn't calculated because 5 expected values were less than 5

House owned or rented, in 1910 census

	soldier	widow	total
[unknown]	3 (3.23)	2 (1.77)	5
not head	55 (76.8)	64 (42.2)	119
owned	127 (111.66)	46 (61.34)	173
rented	68 (61.31)	27 (33.69)	95
total	253	139	392

chi square wasn't calculated because 2 expected values were less than 5

House or farm, in 1910 census

	soldier	widow	total
farm	63 (55.51)	23 (30.49)	86
house	190 (197.49)	116 (108.51)	306
total	253	139	392

values in parentheses are expected values
degrees of freedom: 1
chi-square: 3.65
p < 0.1
Cramer's V: 0.1

House mortgaged or free, in 1910 census

	soldier	widow	total
[not head]	55 (76.8)	64 (42.2)	119
[unknown]	6 (5.16)	2 (2.84)	8
free	87 (81.97)	40 (45.03)	127
mortgaged	37 (27.75)	6 (15.25)	43
not owned	68 (61.31)	27 (33.69)	95
total	253	139	392

values in parentheses are expected values
degrees of freedom: 4
chi-square: 29.46
p < 5.0E-4
Cramer's V: 0.27

Marital status in 1910 census

married	194	49.6%
widow	139	35.5%
widower	49	12.5%
single	9	2.3%
[unknown]	1	%

Spouse name in 1910

	59	15.4%
Mary	18	4.7%
Mary#A	13	3.4%
Elizabeth	13	3.4%
Sarah	11	2.9%
[unknown]	8	%
Martha	7	1.8%
Susan	7	1.8%
Margaret	6	1.6%
Emma	6	1.6%
Catharine	4	1.0%
Jennie	4	1.0%
Sarah#E	4	1.0%
Catherine	4	1.0%
Annie	4	1.0%
Sophia	3	0.8%
Barbara	3	0.8%
Fannie	3	0.8%
Mary#Ann	3	0.8%
Lucy#A	3	0.8%
Lydia	3	0.8%
Harriet	3	0.8%
Eliza	3	0.8%
Louisa	3	0.8%
Mary#J	3	0.8%
Julia	3	0.8%
Isabella	3	0.8%
Ellen	3	0.8%
Hannah	2	0.5%
Mary#E	2	0.5%
Matilda	2	0.5%
Sally	2	0.5%
Anna	2	0.5%
Susan#A	2	0.5%
Annie#M	2	0.5%
Josephine	2	0.5%
Mariah	2	0.5%
Virginia	2	0.5%
Lizzie	2	0.5%
Agnes	2	0.5%
Caroline#E	2	0.5%
Caroline	2	0.5%
Rebecca	2	0.5%
Sarah#A	2	0.5%
Hanna	2	0.5%
Maria	1	0.3%
Harriet#A	1	0.3%
Jane	1	0.3%
Nellie	1	0.3%
Margaret#L	1	0.3%
Eliza#A	1	0.3%
Ida#R	1	0.3%
Sallie	1	0.3%
Lottie	1	0.3%
Catharine#A	1	0.3%
Maria#A	1	0.3%
Katherine#L	1	0.3%
Maggie#L	1	0.3%
Lillie#J	1	0.3%
Milly	1	0.3%
Philipina	1	0.3%
Miria	1	0.3%
Susanna	1	0.3%
Henrietta	1	0.3%
Ettie	1	0.3%
Rebecca#S	1	0.3%
Lydia#B	1	0.3%
Mary#S	1	0.3%
Rosie#A	1	0.3%
Sallie#Ann	1	0.3%
Amanda#S	1	0.3%
Ellen#S	1	0.3%
Ann#Lizzie	1	0.3%
Rosanna	1	0.3%
Fredericka	1	0.3%
Harriet#M	1	0.3%
Olive	1	0.3%
Sylvania#P	1	0.3%
Charlotte	1	0.3%
Louise	1	0.3%
Naomi	1	0.3%
Louisa#E	1	0.3%
Laura#G	1	0.3%
Marissa	1	0.3%
Savina	1	0.3%
Hattie	1	0.3%
Margaret#N	1	0.3%
Emma#O	1	0.3%
Katherine	1	0.3%
Frances	1	0.3%
Mary#G	1	0.3%
Matilda#C	1	0.3%
Elizabeth#B	1	0.3%
Susan#H	1	0.3%
Kate	1	0.3%
Lucy	1	0.3%
Addie	1	0.3%
Laura#O	1	0.3%
Jane#G	1	0.3%
Esther#R	1	0.3%
Anna#J	1	0.3%
Martha#E	1	0.3%
Clara#E	1	0.3%
Henrietta#S	1	0.3%
Fannie#M	1	0.3%
Elizabeth#H	1	0.3%
Mary#L	1	0.3%
Anna#R	1	0.3%
Katharine	1	0.3%
Kate#P	1	0.3%
Esther#A	1	0.3%
Mattie	1	0.3%
Sara#D	1	0.3%
Delia	1	0.3%
Anna#F	1	0.3%
Liza	1	0.3%
Elmira	1	0.3%
Amy	1	0.3%
Hattie#Snyder	1	0.3%
Nancy	1	0.3%
Harriet#F	1	0.3%
Eliza#R	1	0.3%
Margaret#C	1	0.3%
Abigail#M	1	0.3%
Cecelia#C	1	0.3%
Annie#C	1	0.3%
Jennie#G	1	0.3%
Emma#R	1	0.3%
A#Mary	1	0.3%
Hannah#M	1	0.3%
Anne#E	1	0.3%
Priscilla#E	1	0.3%
Emma#E	1	0.3%
Margret#S	1	0.3%
Adell#A	1	0.3%
Lovina	1	0.3%
Amanda	1	0.3%
Cathy[?]	1	0.3%
Wilhelmina	1	0.3%
Gertrude	1	0.3%
Emily#J	1	0.3%
Elizabeth#A	1	0.3%
Martha#A	1	0.3%
Sarah#Ms	1	0.3%
Ottilia	1	0.3%
Dorothea	1	0.3%
Eliza#Ann#Bradley	1	0.3%
Melodia	1	0.3%
Alice	1	0.3%
Emma#J	1	0.3%
Annie#R	1	0.3%
Clara#M	1	0.3%
Bridget	1	0.3%
Mahala#S	1	0.3%
Virginia#A	1	0.3%
Laura#V	1	0.3%
Louise#J	1	0.3%
Caroline#C	1	0.3%
Anetta	1	0.3%
Essie	1	0.3%
Esther	1	0.3%
Virginia#J	1	0.3%
Rhuhanna	1	0.3%
Elizabeth#E	1	0.3%
Anna#M	1	0.3%
Margaret#M	1	0.3%
Anna#C	1	0.3%
Hettie#R	1	0.3%
Rachel	1	0.3%
Catharine#E	1	0.3%
Deborah	1	0.3%
Sarah#H	1	0.3%
Marcia#M	1	0.3%
Clementine	1	0.3%
Nellie#W	1	0.3%
Catherine#R	1	0.3%
Antonie	1	0.3%
Carrie#M	1	0.3%
Deliphen#E	1	0.3%
Mary#C	1	0.3%
Margaret#J	1	0.3%
E#Kate	1	0.3%
Maria#J#Brown	1	0.3%
Elvira	1	0.3%
Nancy#E	1	0.3%
Francis	1	0.3%
Theresia	1	0.3%
Parthena	1	0.3%
Lucinda	1	0.3%
Margeret	1	0.3%
Susan#J	1	0.3%
Bertha	1	0.3%
Ellen#M	1	0.3%
Sara#Dewine	1	0.3%
Corinne	1	0.3%
Juulia	1	0.3%

Number of years married, in 1910 census

not married	198	50.5%
42	16	4.1%
43	13	3.3%
40	13	3.3%
44	10	2.6%
41	9	2.3%
45	9	2.3%
49	7	1.8%
35	7	1.8%
28	6	1.5%
46	6	1.5%
39	6	1.5%
26	6	1.5%
30	5	1.3%
37	4	1.0%
	4	1.0%
38	4	1.0%
20	3	0.8%
36	3	0.8%
58	3	0.8%
33	3	0.8%
22	3	0.8%
32	3	0.8%
24	3	0.8%
50	3	0.8%
34	2	0.5%
12	2	0.5%
48	2	0.5%
51	2	0.5%
56	2	0.5%
31	2	0.5%
17	2	0.5%
47	2	0.5%
5	2	0.5%
6	2	0.5%
52	2	0.5%
13	2	0.5%
3	2	0.5%
29	2	0.5%
9	1	0.3%
18	1	0.3%
11	1	0.3%
25	1	0.3%
10	1	0.3%
55	1	0.3%
23	1	0.3%
19	1	0.3%
14	1	0.3%
27	1	0.3%
7	1	0.3%
53	1	0.3%
63	1	0.3%
21	1	0.3%
59	1	0.3%
57	1	0.3%
16	1	0.3%

Number of times married, in 1910 census

1	137	35.8%
2	45	11.7%
3	3	0.8%
[unknown]	9	%
not married	59	15.4%
widow	139	36.3%

Number of years married, in 1910 census--average

based on 190 instances
minimum	3 years
maximum	63 years
median	40.0 years
mode	42: 16 instances
mean	36.6 years
standard deviation	36.65

Number of children of spouse or widow, in 1910 census

0	20	5.1%
1	31	7.9%
10	19	4.8%
11	5	1.3%
12	9	2.3%
13	7	1.8%
14	1	0.3%
15	2	0.5%
2	25	6.4%
3	37	9.4%
4	35	8.9%
5	33	8.4%
6	22	5.6%
7	24	6.1%
8	18	4.6%
9	15	3.8%
[no data]	89	22.7%

Average number of children of spouse or widow, in 1910 census

based on 303 instances
minimum	0 children
maximum	15 children
median	5 children
mode	3: 37 instances
mean	5.2 children
standard deviation	5.21

Number of live children of spouse or widow, in 1910 census

0	34	8.7%
1	46	11.7%
10	2	0.5%
12	1	0.3%
13	1	0.3%
2	40	10.2%
3	41	10.5%
4	45	11.5%
5	29	7.4%
6	29	7.4%
7	17	4.3%
8	13	3.3%
9	5	1.3%
[no data]	89	22.7%

Average number of living children of spouse or widow, in 1910 census

based on 303 instances
minimum	0 children
maximum	13 children
median	3 children
mode	1: 46 instances
mean	3.5 children
standard deviation	3.5

Percent of children of spouse or widow living, in 1910 census

0.0	14	3.6%
100.0	88	22.4%
17.0	1	0.3%
20.0	3	0.8%
22.0	2	0.5%
25.0	4	1.0%
30.0	1	0.3%
33.0	5	1.3%
38.0	1	0.3%
40.0	5	1.3%
42.0	2	0.5%
43.0	1	0.3%
44.0	2	0.5%
46.0	1	0.3%
47.0	1	0.3%
50.0	33	8.4%
54.0	1	0.3%
55.0	1	0.3%
57.0	8	2.0%
58.0	1	0.3%
60.0	11	2.8%
62.0	1	0.3%
63.0	3	0.8%
64.0	2	0.5%
67.0	25	6.4%
69.0	1	0.3%
70.0	2	0.5%
71.0	8	2.0%
75.0	16	4.1%
78.0	4	1.0%
80.0	16	4.1%
83.0	3	0.8%
86.0	5	1.3%
88.0	3	0.8%
89.0	3	0.8%
90.0	2	0.5%
91.0	2	0.5%
92.0	1	0.3%
[no children]	20	5.1%
[no data]	89	22.7%

Immigrated, in 1910 census

	soldier	widow	total
1836	2 (1.29)	0 (0.71)	2
1839	1 (0.65)	0 (0.35)	1
1841	2 (1.29)	0 (0.71)	2
1844	1 (0.65)	0 (0.35)	1
1845	2 (1.29)	0 (0.71)	2
1847	1 (0.65)	0 (0.35)	1
1848	2 (1.29)	0 (0.71)	2
1850	2 (1.29)	0 (0.71)	2
1851	2 (1.29)	0 (0.71)	2
1852	3 (1.94)	0 (1.06)	3
1854	1 (0.65)	0 (0.35)	1
1855	1 (0.65)	0 (0.35)	1
1856	1 (0.65)	0 (0.35)	1
1857	2 (1.29)	0 (0.71)	2
1858	1 (0.65)	0 (0.35)	1
1859	2 (1.29)	0 (0.71)	2
1863	1 (0.65)	0 (0.35)	1
1864	1 (0.65)	0 (0.35)	1
1867	1 (0.65)	0 (0.35)	1
1881	1 (0.65)	0 (0.35)	1
[not immigrant]	221 (142.64)	0 (78.36)	221
[not recorded]	0 (89.71)	139 (49.29)	139
[unknown]	2 (1.29)	0 (0.71)	2
total	253	139	392

chi square wasn't calculated because 42 expected values were less than 5

Citizenship in 1910 census

	soldier	widow	total
[not recorded]	0 (89.71)	139 (49.29)	139
alien	2 (1.29)	0 (0.71)	2
naturalized	25 (16.14)	0 (8.86)	25
not listed (citizen)	226 (145.86)	0 (80.14)	226
total	253	139	392

chi square wasn't calculated because 2 expected values were less than 5

Pennsylvania county living in, in 1910 census

Adams	28	7.1%
Allegheny	11	2.8%
Armstrong	2	0.5%
Beaver	1	0.3%
Bedford	26	6.6%
Berks	2	0.5%
Blair	11	2.8%
Bucks	8	2.0%
Butler	2	0.5%
Cambria	1	0.3%
Cameron	1	0.3%
Centre	2	0.5%
Chester	3	0.8%
Clarion	1	0.3%
Clinton	1	0.3%
Columbia	1	0.3%
Cumberland	2	0.5%
Dauphin	4	1.0%
Delaware	6	1.5%
Erie	1	0.3%
Fayette	1	0.3%
Franklin	1	0.3%
Fulton	1	0.3%
Huntingdon	9	2.3%
Jefferson	3	0.8%
Juniata	1	0.3%
Lackawanna	1	0.3%
Lancaster	5	1.3%
Lehigh	1	0.3%
Luzerne	4	1.0%
Lycoming	1	0.3%
Mercer	3	0.8%
Mifflin	2	0.5%
Monroe	2	0.5%
Montgomery	9	2.3%
Northampton	2	0.5%
Northumberland	3	0.8%
Perry	1	0.3%
Philadelphia	101	25.8%
Schuylkill	4	1.0%
Somerset	7	1.8%
Tioga	2	0.5%
Wayne	2	0.5%
Westmoreland	5	1.3%
York	2	0.5%
not Pennsylvania	105	26.8%

Found 1920 census entry

can't identify	19	0.9%
found	228	11.1%
not checked	1397	67.8%
not found	417	20.2%

Person found in 1920 census

soldier	101	44.3%
widow	127	55.7%

State living in, in 1920 census

Arkansas	1	0.4%
California	5	2.2%
Delaware	1	0.4%
Georgia	1	0.4%
Illinois	6	2.6%
Indiana	2	0.9%
Iowa	1	0.4%
Kansas	4	1.8%
Maryland	1	0.4%
Massachusetts	3	1.3%
Michigan	3	1.3%
Minnesota	2	0.9%
Missouri	3	1.3%
Nebraska	2	0.9%
New Hampshire	1	0.4%
New Jersey	13	5.7%
New Mexico	1	0.4%
New York	5	2.2%
North Carolina	1	0.4%
Ohio	4	1.8%
Oklahoma	1	0.4%
Pennsylvania	155	68.0%
Tennessee	1	0.4%
Utah	1	0.4%
Virginia	3	1.3%
Washington, District of Columbia	4	1.8%
West Virginia	2	0.9%
Wyoming	1	0.4%

Occupation in 1920

[blank; probably none]	132	57.9%
[illegible]	1	0.4%
bookkeeper	1	0.4%
city clerk	1	0.4%
clerk US govt	1	0.4%
farmer	3	1.3%
farmer--own farm	1	0.4%
farmer--truck farm	2	0.9%
gardener in own garden	1	0.4%
house carpenter	1	0.4%
inspector at electric company	1	0.4%
invalid	1	0.4%
judge circuit court	1	0.4%
laborer	1	0.4%
laborer at carbon factory	1	0.4%
laborer--dept store	1	0.4%
locksmith--door lock factory	1	0.4%
machinist	1	0.4%
manufacturer	1	0.4%
minister-evangelist	1	0.4%
music composer	1	0.4%
none	54	23.7%
order clerk at provision mkt	1	0.4%
penitentiary chaplain	1	0.4%
pensioner	1	0.4%
real estate head	1	0.4%
restaurant keeper	1	0.4%
retail merchant--cigars	1	0.4%
retired	6	2.6%
retired farmer	1	0.4%
retired minister	1	0.4%
secretary Masonic Lodge	1	0.4%
store keeper	1	0.4%
superintendent at Nat'l Cemetery	1	0.4%
tax collector	1	0.4%
travelling salesman	1	0.4%

Occupation class in 1920

Artisans	3	3.3%
Manual laborers	3	3.3%
Not in labor force	64	69.6%
Professionals and large proprietors	5	5.4%
Semi-professionals and smaller proprietors	15	16.3%
Service and semi-skilled workers	1	1.1%
[unknown]	136	%
unknown class	1	1.1%

Occupation class in 1920, by occupation class at enlistment

	Artisans	Manual laborers	Professionals and large proprietors	Semi-professionals and smaller proprietors	Service and semi-skilled workers	[unknown]	total
Artisans	1 (0.56)	1 (0.8)	0 (0.03)	1 (0.71)	0 (0.12)	0 (0.77)	3
Manual laborers	2 (0.56)	1 (0.8)	0 (0.03)	0 (0.71)	0 (0.12)	0 (0.77)	3
Not in labor force	12 (12.04)	18 (17.11)	0 (0.63)	12 (15.21)	2 (2.53)	20 (16.48)	64
Professionals and large proprietors	1 (0.94)	0 (1.34)	0 (0.05)	2 (1.19)	0 (0.2)	2 (1.29)	5
Semi-professionals and smaller proprietors	2 (2.82)	4 (4.01)	0 (0.15)	6 (3.56)	2 (0.59)	1 (3.86)	15
Service and semi-skilled workers	0 (0.19)	0 (0.27)	0 (0.01)	1 (0.24)	0 (0.04)	0 (0.26)	1
[unknown]	1 (1.69)	3 (2.41)	1 (0.09)	1 (2.14)	0 (0.36)	3 (2.32)	9
unknown class	0 (0.19)	0 (0.27)	0 (0.01)	1 (0.24)	0 (0.04)	0 (0.26)	1
total	19	27	1	24	4	26	101

chi square wasn't calculated because 44 expected values were less than 5

Occupation class in 1920, by occupation class at enlistment (collapsed, excluding unknowns)

	Artisans	Manual laborers	Semi-professionals and smaller proprietors	Service and semi-skilled workers	total
Artisans	1 (0.79)	1 (1.06)	1 (0.97)	0 (0.18)	3
Manual laborers	2 (0.79)	1 (1.06)	0 (0.97)	0 (0.18)	3
Other	13 (12.44)	18 (16.59)	14 (15.21)	2 (2.76)	47
Semi-professionals and smaller proprietors	2 (3.71)	4 (4.94)	6 (4.53)	2 (0.82)	14
Service and semi-skilled workers	0 (0.26)	0 (0.35)	1 (0.32)	0 (0.06)	1
total	18	24	22	4	68

chi square wasn't calculated because 17 expected values were less than 5

Relation to head of household in 1920 census

aunt	3	1.3%
boarder	3	1.3%
brother-in-law	2	0.9%
cousin	1	0.4%
father	5	2.2%
father-boarder	1	0.4%
father-in-law	11	4.8%
grandmother	3	1.3%
head	125	54.8%
inmate	8	3.5%
lodger	4	1.8%
mother	30	13.2%
mother-in-law	20	8.8%
patient	1	0.4%
roomer	1	0.4%
sister	1	0.4%
sister-in-law	2	0.9%
step-father-in-law	1	0.4%
uncle	2	0.9%
wife	4	1.8%

Relation to head of household in 1920 census (collapsed)

head	125	54.8%
parent	67	29.4%
other	14	6.1%
other family	14	6.1%
boarder or lodger	8	3.5%

Relation to head of household in 1920 census (by person found)

	soldier	widow	total
aunt	0 (1.33)	3 (1.67)	3
boarder	2 (1.33)	1 (1.67)	3
brother-in-law	2 (0.89)	0 (1.11)	2
cousin	0 (0.44)	1 (0.56)	1
father	5 (2.21)	0 (2.79)	5
father-boarder	1 (0.44)	0 (0.56)	1
father-in-law	11 (4.87)	0 (6.13)	11
grandmother	0 (1.33)	3 (1.67)	3
head	70 (55.37)	55 (69.63)	125
inmate	6 (3.54)	2 (4.46)	8
lodger	1 (1.77)	3 (2.23)	4
mother	0 (13.29)	30 (16.71)	30
mother-in-law	0 (8.86)	20 (11.14)	20
patient	0 (0.44)	1 (0.56)	1
roomer	0 (0.44)	1 (0.56)	1
sister	0 (0.44)	1 (0.56)	1
sister-in-law	0 (0.89)	2 (1.11)	2
step-father-in-law	1 (0.44)	0 (0.56)	1
uncle	2 (0.89)	0 (1.11)	2
wife	0 (1.77)	4 (2.23)	4
total	101	127	228

chi square wasn't calculated because 33 expected values were less than 5

Relation to head of household in 1920 census (by person found) (collapsed)

	soldier	widow	total
boarder or lodger	3 (3.54)	5 (4.46)	8
head	70 (55.37)	55 (69.63)	125
other	7 (6.2)	7 (7.8)	14
other family	4 (6.2)	10 (7.8)	14
parent	17 (29.68)	50 (37.32)	67
total	101	127	228

values in parentheses are expected values
degrees of freedom: 4
chi-square: 18.4
p < 0.0025
Cramer's V: 0.28

House owned or rented, in 1920 census

	soldier	widow	total
[unknown]	3 (2.66)	3 (3.34)	6
not head	31 (45.18)	71 (56.82)	102
owned	44 (37.21)	40 (46.79)	84
rented	23 (15.95)	13 (20.05)	36
total	101	127	228

chi square wasn't calculated because 2 expected values were less than 5

House or farm, in 1920 census

	soldier	widow	total
farm	14 (14.62)	19 (18.38)	33
house	87 (86.38)	108 (108.62)	195
total	101	127	228

values in parentheses are expected values
degrees of freedom: 1
chi-square: 0.06
p > 0.25
Cramer's V: 0.02

House mortgaged or free, in 1920 census

	soldier	widow	total
[not head]	31 (45.63)	72 (57.37)	103
[unknown]	3 (2.66)	3 (3.34)	6
free	34 (30.12)	34 (37.88)	68
mortgaged	10 (7.09)	6 (8.91)	16
not owned	23 (15.5)	12 (19.5)	35
total	101	127	228

values in parentheses are expected values
degrees of freedom: 4
chi-square: 18.06
p < 0.0025
Cramer's V: 0.28

Marital status in 1920 census

widow	127	55.7%
married	66	28.9%
widower	31	13.6%
single	3	1.3%
divorced	1	0.4%

Spouse name in 1920

	35	15.5%
Mary	9	4.0%
Elizabeth	6	2.7%
Sarah	6	2.7%
Anna	4	1.8%
Emma	4	1.8%
Mary#A	3	1.3%
Sarah#A	3	1.3%
Martha	3	1.3%
Elizabeth#A	3	1.3%
Eliza	3	1.3%
Louisa	3	1.3%
Harriet	3	1.3%
Jane	2	0.9%
Margaret#E	2	0.9%
Julia	2	0.9%
Mary#Ann	2	0.9%
Sarah#E	2	0.9%
Kate	2	0.9%
Jennie	2	0.9%
Margaret	2	0.9%
[unknown]	2	%
Lizzie	2	0.9%
Caroline	2	0.9%
Josephine	2	0.9%
Catharine	2	0.9%
Agnes	2	0.9%
Catharine#R	2	0.9%
Hannah	2	0.9%
Ellen	2	0.9%
Jennie#H#Coggins	1	0.4%
Sophia	1	0.4%
Sara#H	1	0.4%
Annie	1	0.4%
Barbara	1	0.4%
Ida#R	1	0.4%
Sallie#E	1	0.4%
Dora	1	0.4%
Margaret#C	1	0.4%
Sara#E	1	0.4%
Katharine	1	0.4%
Martha#M	1	0.4%
Lillie#J	1	0.4%
Millie	1	0.4%
Henrietta#F	1	0.4%
Fanny	1	0.4%
Etta#Berkhimer	1	0.4%
Sue	1	0.4%
Susana	1	0.4%
Lydia	1	0.4%
Sallie	1	0.4%
Amanda	1	0.4%
Ellen#S	1	0.4%
Rosanna	1	0.4%
Olive#L	1	0.4%
Elizebeth	1	0.4%
Susan#A	1	0.4%
Naomi	1	0.4%
Louisa#E	1	0.4%
Laura#G	1	0.4%
Savina	1	0.4%
Anna#M	1	0.4%
Margaret#N	1	0.4%
Lydia#A	1	0.4%
Francis#H	1	0.4%
Sophie	1	0.4%
Catherine	1	0.4%
Lucy	1	0.4%
Mariah	1	0.4%
Laura#O	1	0.4%
Esther#R	1	0.4%
Susan	1	0.4%
Clara#E	1	0.4%
Henrietta#S	1	0.4%
Fannie#M	1	0.4%
Hannah#M	1	0.4%
Fannie	1	0.4%
Anna#R	1	0.4%
Kate#P	1	0.4%
Mary#C	1	0.4%
Esther#A	1	0.4%
Mattie	1	0.4%
Delia	1	0.4%
Mellissa	1	0.4%
Amy	1	0.4%
Sofia	1	0.4%
Isabella	1	0.4%
Caroline#E	1	0.4%
Cecelia	1	0.4%
Emma#E	1	0.4%
Rebecca	1	0.4%
Margaret#S	1	0.4%
Adelle#E	1	0.4%
Lavina	1	0.4%
Virginia#G	1	0.4%
Julia#R	1	0.4%
Christina#W	1	0.4%
Emma#J	1	0.4%
Annie#R	1	0.4%
Clara#M	1	0.4%
Mahala#S	1	0.4%
Virginia#A	1	0.4%
Laura	1	0.4%
Jane#A	1	0.4%
Lillie	1	0.4%
Mary#M	1	0.4%
Amanda#S	1	0.4%
Carolyn#C	1	0.4%
Anetta	1	0.4%
Esther	1	0.4%
Virginia	1	0.4%
Barbara#E	1	0.4%
Annie#M	1	0.4%
Laura#B	1	0.4%
Hettie	1	0.4%
Rachel	1	0.4%
Deborah	1	0.4%
Emma#C	1	0.4%
Medora#M	1	0.4%
Marcia	1	0.4%
Clementine	1	0.4%
Nellie	1	0.4%
Catharine#K	1	0.4%
Maude#I	1	0.4%
Antoinette	1	0.4%
Carrie	1	0.4%
Martha#A	1	0.4%
Susan#M	1	0.4%
Elvira	1	0.4%
Nancy#E	1	0.4%
Frances	1	0.4%
Parthena	1	0.4%
Lucinda	1	0.4%
Maggie	1	0.4%
Susan#J	1	0.4%
Ada	1	0.4%
Bertha	1	0.4%
Lizzie#E#S	1	0.4%
Corene	1	0.4%

Citizenship in 1920 census

	soldier	widow	total
[not recorded]	0 (56.26)	127 (70.74)	127
alien	1 (0.44)	0 (0.56)	1
naturalized	9 (3.99)	0 (5.01)	9
not listed (citizen)	91 (40.31)	0 (50.69)	91
total	101	127	228

chi square wasn't calculated because 3 expected values were less than 5

Pennsylvania county living in, in 1920 census

Adams	15	6.6%
Allegheny	8	3.5%
Armstrong	1	0.4%
Beaver	1	0.4%
Bedford	16	7.0%
Berks	3	1.3%
Blair	7	3.1%
Bucks	2	0.9%
Chester	2	0.9%
Clarion	2	0.9%
Columbia	1	0.4%
Cumberland	1	0.4%
Dauphin	3	1.3%
Delaware	4	1.8%
Fulton	1	0.4%
Huntingdon	5	2.2%
Jefferson	1	0.4%
Lackawanna	1	0.4%
Lancaster	2	0.9%
Lehigh	1	0.4%
Luzerne	2	0.9%
Lycoming	2	0.9%
Mercer	2	0.9%
Monroe	2	0.9%
Montgomery	5	2.2%
Northampton	2	0.9%
Northumberland	1	0.4%
Perry	1	0.4%
Philadelphia	49	21.5%
Potter	1	0.4%
Schuylkill	2	0.9%
Somerset	3	1.3%
Wayne	1	0.4%
Westmoreland	4	1.8%
York	1	0.4%
not Pennsylvania	73	32.0%

Found 1930 census entry

can't identify	13	0.6%
found	68	3.3%
not checked	1414	68.6%
not found	566	27.5%

Person found in 1930 census

soldier	20	29.4%
widow	48	70.6%

State living in, in 1930 census

Arkansas	1	1.5%
California	5	7.4%
Delaware	1	1.5%
Illinois	3	4.4%
Kansas	2	2.9%
Massachusetts	1	1.5%
Michigan	2	2.9%
Minnesota	2	2.9%
Nebraska	2	2.9%
New Jersey	3	4.4%
New York	2	2.9%
North Carolina	1	1.5%
Ohio	2	2.9%
Pennsylvania	33	48.5%
Virginia	4	5.9%
Washington	1	1.5%
Washington, District of Columbia	2	2.9%
Wyoming	1	1.5%

Occupation in 1930

[blank; probably none]	48	70.6%
announcer [?]	1	1.5%
farmer (grain [?] farm)	1	1.5%
gatherer--glass co	1	1.5%
none	14	20.6%
retired	3	4.4%

Occupation class in 1930

Not in labor force	17	94.4%
Semi-professionals and smaller proprietors	1	5.6%
[unknown]	50	%

Occupation class in 1930, by occupation class at enlistment

	Not in labor force	Semi-professionals and smaller proprietors	[unknown]	total
Artisans	3 (3.4)	0 (0.2)	1 (0.4)	4
Manual laborers	6 (5.1)	0 (0.3)	0 (0.6)	6
Semi-professionals and smaller proprietors	4 (4.25)	0 (0.25)	1 (0.5)	5
Service and semi-skilled workers	2 (1.7)	0 (0.1)	0 (0.2)	2
[unknown]	2 (2.55)	1 (0.15)	0 (0.3)	3
total	17	1	2	20

chi square wasn't calculated because 14 expected values were less than 5

Occupation class in 1930, by occupation class at enlistment (collapsed, excluding unknowns)

	Other	total
Artisans	3 (3.0)	3
Manual laborers	6 (6.0)	6
Semi-professionals and smaller proprietors	4 (4.0)	4
Service and semi-skilled workers	2 (2.0)	2
total	15	15

chi square wasn't calculated because 3 expected values were less than 5

Spouse name in 1930

	12	17.6%
Agnes	1	1.5%
Anna#N	1	1.5%
Annetta	1	1.5%
Annie#M	1	1.5%
Antonete	1	1.5%
Bertha	1	1.5%
Caroline	1	1.5%
Caroline#E	1	1.5%
Catharine	1	1.5%
Clara#E	1	1.5%
Delia	1	1.5%
Dora	1	1.5%
Eliza	1	1.5%
Eliza#J	1	1.5%
Elizabeth	1	1.5%
Elizabeth#A	1	1.5%
Ester	1	1.5%
Fannie#M	1	1.5%
Hannah	1	1.5%
Hannah#M	1	1.5%
Harriet	1	1.5%
Jennie#H#Coggins	1	1.5%
Josephine	1	1.5%
Julia	1	1.5%
Julia#R	1	1.5%
Kate#P	1	1.5%
Kathryn#R	1	1.5%
Laura#C	1	1.5%
Laura#O	1	1.5%
Lavina	1	1.5%
Lillie	1	1.5%
Lillie#J	1	1.5%
Louisa	1	1.5%
Lydia	1	1.5%
Lydia#M	1	1.5%
Marcia#M	1	1.5%
Margret	1	1.5%
Martha#J	1	1.5%
Mary	1	1.5%
Mary#A	2	2.9%
Mattie#Lathrop	1	1.5%
Millie	1	1.5%
Nancy#E	1	1.5%
Parthena	1	1.5%
Sarah	2	2.9%
Sarah#A	1	1.5%
Sarah#C	1	1.5%
Sarah#E	2	2.9%
Sarah#H	1	1.5%
Susan#J	1	1.5%
Virginia	1	1.5%
Virginia#A	1	1.5%
virginia	1	1.5%

Radio in household in 1930

noRadio	40	58.8%
radio	28	41.2%

Pennsylvania county living in, in 1930 census

Adams	3	4.4%
Allegheny	2	2.9%
Armstrong	2	2.9%
Bedford	5	7.4%
Blair	2	2.9%
Dauphin	1	1.5%
Delaware	2	2.9%
Fayette	1	1.5%
Huntingdon	1	1.5%
Jefferson	1	1.5%
Lehigh	1	1.5%
Lycoming	1	1.5%
Philadelphia	7	10.3%
Schuylkill	1	1.5%
Somerset	2	2.9%
Wayne	1	1.5%
not Pennsylvania	35	51.5%

Found 1940 census entry

can't identify	2	0.1%
found	9	0.4%
not checked	1897	92.0%
not found	153	7.4%

Person found in 1940 census

soldier	1	11.1%
widow	8	88.9%

State living in, in 1940 census

Arkansas	1	11.1%
Illinois	1	11.1%
New Jersey	1	11.1%
New Mexico	1	11.1%
North Carolina	1	11.1%
Pennsylvania	1	11.1%
Virginia	2	22.2%
Washington, District of Columbia	1	11.1%

Occupation in 1940

[blank; probably none]

9

100.0%

Occupation class in 1940

[unknown]

9

%

Occupation class in 1940, by occupation class at enlistment

	Manual laborers	total
[unknown]	1 (1.0)	1
total	1	1

chi square wasn't calculated because 1 expected values were less than 5

Spouse name in 1940

	1	11.1%
Antoinette	1	11.1%
Bertha	1	11.1%
Dora#B	1	11.1%
Josephine	1	11.1%
Lily	1	11.1%
Mattie#J	1	11.1%
Sarah	1	11.1%
Sarah#A	1	11.1%

Pennsylvania county living in, in 1940 census

Fayette	1	11.1%
not Pennsylvania	8	88.9%

Alive, by decade

	1870	1880	1890	1900	1910	1920	1930	1940
[unknown]	706	727	748	774	782	781	780	780
alive in	1091 (80.5%)	989 (74.1%)	833 (63.4%)	608 (47.2%)	372 (29.1%)	151 (11.8%)	22 (1.7%)	1 (0.1%)
died before	264 (19.5%)	345 (25.9%)	480 (36.6%)	679 (52.8%)	907 (70.9%)	1129 (88.2%)	1259 (98.3%)	1280 (99.9%)

Alive, by decade, limited to volunteers

	1870	1880	1890	1900	1910	1920	1930	1940
[unknown]	519	534	546	567	573	572	572	572
alive in	674 (74.5%)	595 (66.9%)	479 (54.6%)	330 (38.5%)	190 (22.3%)	72 (8.5%)	8 (0.9%)
died before	231 (25.5%)	295 (33.1%)	399 (45.4%)	527 (61.5%)	661 (77.7%)	780 (91.5%)	844 (99.1%)	852 (100.0%)

Alive, by decade, limited to drafted men

	1870	1880	1890	1900	1910	1920	1930	1940
[unknown]	35	39	41	43	44	44	45	45
alive in	258 (92.5%)	243 (88.4%)	219 (80.2%)	173 (63.8%)	99 (36.7%)	37 (13.7%)	4 (1.5%)
died before	21 (7.5%)	32 (11.6%)	54 (19.8%)	98 (36.2%)	171 (63.3%)	233 (86.3%)	265 (98.5%)	269 (100.0%)

Alive, by decade, limited to substitutes

	1870	1880	1890	1900	1910	1920	1930	1940
[unknown]	149	151	158	161	162	162	160	160
alive in	159 (93.0%)	151 (89.3%)	135 (83.3%)	105 (66.0%)	83 (52.5%)	42 (26.6%)	10 (6.3%)	1 (0.6%)
died before	12 (7.0%)	18 (10.7%)	27 (16.7%)	54 (34.0%)	75 (47.5%)	116 (73.4%)	150 (93.8%)	159 (99.4%)

Alive, by decade, limited to volunteers who did not die while in the regiment

	1870	1880	1890	1900	1910	1920	1930	1940
[unknown]	519	534	546	567	573	572	572	572
alive in	674 (91.3%)	595 (82.3%)	479 (67.4%)	330 (47.8%)	190 (27.8%)	72 (10.5%)	8 (1.2%)
died before	64 (8.7%)	128 (17.7%)	232 (32.6%)	360 (52.2%)	494 (72.2%)	613 (89.5%)	677 (98.8%)	685 (100.0%)

Alive, by decade, limited to drafted men who did not die while in the regiment

	1870	1880	1890	1900	1910	1920	1930	1940
[unknown]	35	39	41	43	44	44	45	45
alive in	258 (96.6%)	243 (92.4%)	219 (83.9%)	173 (66.8%)	99 (38.4%)	37 (14.3%)	4 (1.6%)
died before	9 (3.4%)	20 (7.6%)	42 (16.1%)	86 (33.2%)	159 (61.6%)	221 (85.7%)	253 (98.4%)	257 (100.0%)

Alive, by decade, limited to substitutes who did not die while in the regiment

	1870	1880	1890	1900	1910	1920	1930	1940
[unknown]	149	151	158	161	162	162	160	160
alive in	159 (99.4%)	151 (95.6%)	135 (89.4%)	105 (70.9%)	83 (56.5%)	42 (28.6%)	10 (6.7%)	1 (0.7%)
died before	1 (0.6%)	7 (4.4%)	16 (10.6%)	43 (29.1%)	64 (43.5%)	105 (71.4%)	139 (93.3%)	148 (99.3%)

Started as commissioned officer or not

did not start as commissioned officer	2030	98.5%
started as commissioned officer	31	1.5%

Ended as commissioned officer or not

did not end as commissioned officer	1982	96.2%
ended as commissioned officer	79	3.8%

Number of ranks held

1	1740	84.4%
2	185	9.0%
3	88	4.3%
4	26	1.3%
5	16	0.8%
6	3	0.1%
7	2	0.1%
8	1	0.0%

Changes in rank

adjutant to brevet captain	1
assistant surgeon to surgeon	1
brevet major to major	1
captain to brevet major	1
captain to lieutenant colonel	2
captain to major	1
colonel to brevet brigadier general	1
commissary sergeant to captain	1
commissary sergeant to private	1
commissary sergeant to quartermaster sergeant	1
corporal to commissary sergeant	2
corporal to private	35
corporal to quartermaster sergeant	1
corporal to sergeant	76
first lieutenant to adjutant	1
first lieutenant to captain	14
first sergeant to captain	2
first sergeant to first lieutenant	16
first sergeant to private	1
first sergeant to second lieutenant	10
major to brevet lieutenant colonel	1
major to lieutenant colonel	1
musician to corporal	1
musician to private	1
musician to sergeant	1
no changes in rank	1740
private to commissary sergeant	2
private to corporal	210
private to first lieutenant	1
private to first sergeant	6
private to hospital steward	3
private to musician	7
private to regimental quartermaster	1
private to second lieutenant	2
private to sergeant	46
private to sergeant major	1
quartermaster sergeant to regimental quartermaster	1
quartermaster sergeant to second lieutenant	1
quartermaster sergeant to sergeant major	1
regimental quartermaster to captain	1
second lieutenant to captain	5
second lieutenant to first lieutenant	6
second lieutenant to regimental quartermaster	1
sergeant to commissary sergeant	2
sergeant to first lieutenant	7
sergeant to first sergeant	36
sergeant to private	16
sergeant to quartermaster sergeant	1
sergeant to second lieutenant	6

Changes in rank (in frequency order)

no changes in rank	1740
private to corporal	210
corporal to sergeant	76
private to sergeant	46
sergeant to first sergeant	36
corporal to private	35
first sergeant to first lieutenant	16
sergeant to private	16
first lieutenant to captain	14
first sergeant to second lieutenant	10
private to musician	7
sergeant to first lieutenant	7
private to first sergeant	6
second lieutenant to first lieutenant	6
sergeant to second lieutenant	6
second lieutenant to captain	5
private to hospital steward	3
captain to lieutenant colonel	2
corporal to commissary sergeant	2
first sergeant to captain	2
private to commissary sergeant	2
private to second lieutenant	2
sergeant to commissary sergeant	2
adjutant to brevet captain	1
assistant surgeon to surgeon	1
brevet major to major	1
captain to brevet major	1
captain to major	1
colonel to brevet brigadier general	1
commissary sergeant to captain	1
commissary sergeant to private	1
commissary sergeant to quartermaster sergeant	1
corporal to quartermaster sergeant	1
first lieutenant to adjutant	1
first sergeant to private	1
major to brevet lieutenant colonel	1
major to lieutenant colonel	1
musician to corporal	1
musician to private	1
musician to sergeant	1
private to first lieutenant	1
private to regimental quartermaster	1
private to sergeant major	1
quartermaster sergeant to regimental quartermaster	1
quartermaster sergeant to second lieutenant	1
quartermaster sergeant to sergeant major	1
regimental quartermaster to captain	1
second lieutenant to regimental quartermaster	1
sergeant to quartermaster sergeant	1

Owned property in 1860, by start rank (commissioned officer or not) (limited to people I've found in the 1860 census)

	no	yes	total
did not start as commissioned officer	420 (417.66)	179 (181.34)	599
started as commissioned officer	13 (15.34)	9 (6.66)	22
total	433	188	621

values in parentheses are expected values
degrees of freedom: 1
chi-square: 1.22
p > 0.25
Cramer's V: 0.04

Age, by start rank (commissioned officer or not)

	did not start as commissioned officer	started as commissioned officer	total
13	1 (0.98)	0 (0.02)	1
14	1 (0.98)	0 (0.02)	1
15	1 (0.98)	0 (0.02)	1
16	5 (4.92)	0 (0.08)	5
17	28 (27.58)	0 (0.42)	28
18	213 (209.8)	0 (3.2)	213
19	165 (164.49)	2 (2.51)	167
20	107 (105.39)	0 (1.61)	107
21	132 (131.98)	2 (2.02)	134
22	101 (104.41)	5 (1.59)	106
23	114 (114.26)	2 (1.74)	116
24	94 (92.59)	0 (1.41)	94
25	83 (81.75)	0 (1.25)	83
26	59 (58.11)	0 (0.89)	59
27	60 (61.07)	2 (0.93)	62
28	79 (79.78)	2 (1.22)	81
29	65 (64.02)	0 (0.98)	65
30	54 (54.17)	1 (0.83)	55
31	37 (36.44)	0 (0.56)	37
32	49 (48.26)	0 (0.74)	49
33	49 (48.26)	0 (0.74)	49
34	48 (47.28)	0 (0.72)	48
35	56 (58.11)	3 (0.89)	59
36	29 (29.55)	1 (0.45)	30
37	45 (46.29)	2 (0.71)	47
38	49 (48.26)	0 (0.74)	49
39	27 (26.59)	0 (0.41)	27
40	62 (64.02)	3 (0.98)	65
41	19 (18.71)	0 (0.29)	19
42	35 (35.46)	1 (0.54)	36
43	40 (40.38)	1 (0.62)	41
44	78 (76.83)	0 (1.17)	78
45	14 (13.79)	0 (0.21)	14
47	1 (0.98)	0 (0.02)	1
48	3 (2.95)	0 (0.05)	3
50	1 (0.98)	0 (0.02)	1
54	1 (0.98)	0 (0.02)	1
56	1 (1.97)	1 (0.03)	2
[unknown]	24 (26.59)	3 (0.41)	27
total	2030	31	2061

chi square wasn't calculated because 48 expected values were less than 5

Attendance at the 1884 Survivor's Association Meeting, by start rank (commissioned officer or not)

	attended	did not attend	total
did not start as commissioned officer	26 (32.5)	2004 (1997.5)	2030
started as commissioned officer	7 (0.5)	24 (30.5)	31
total	33	2028	2061

chi square wasn't calculated because 1 expected values were less than 5

Whether born in the US, by start rank (commissioned officer or not)

	US	not US	total
did not start as commissioned officer	1105 (1095.27)	925 (934.73)	2030
started as commissioned officer	7 (16.73)	24 (14.27)	31
total	1112	949	2061

values in parentheses are expected values
degrees of freedom: 1
chi-square: 12.48
p < 5.0E-4
Cramer's V: 0.08

Whether born in the US (regimental records supplemented by other information), by start rank (commissioned officer or not)

	born in US	not born in US	total
did not start as commissioned officer	1261 (1268.63)	769 (761.37)	2030
started as commissioned officer	27 (19.37)	4 (11.63)	31
total	1288	773	2061

values in parentheses are expected values
degrees of freedom: 1
chi-square: 8.13
p < 0.005
Cramer's V: 0.06

Owned property in 1860, by start rank (commissioned officer or not) (limited to people I've found in the 1860 census)

	did not start as commissioned officer	started as commissioned officer	total
Artisans	157 (157.23)	6 (5.77)	163
Manual laborers	136 (131.18)	0 (4.82)	136
Not in labor force	1 (0.96)	0 (0.04)	1
Professionals and large proprietors	13 (17.36)	5 (0.64)	18
Semi-professionals and smaller proprietors	89 (90.67)	5 (3.33)	94
Service and semi-skilled workers	31 (30.87)	1 (1.13)	32
[unknown]	156 (154.33)	4 (5.67)	160
unknown class	16 (16.4)	1 (0.6)	17
total	599	22	621

chi square wasn't calculated because 7 expected values were less than 5

1860 HISCO major occupation class, by start rank (commissioned officer or not) (limited to people I've found in the 1860 census)

	did not start as commissioned officer	started as commissioned officer	total
[unknown]	164 (163.01)	5 (5.99)	169
agricultural, animal husbandry and forestry workers, fisherman, and hunters	101 (97.42)	0 (3.58)	101
clerical and related workers	14 (14.47)	1 (0.53)	15
not in work force	1 (0.96)	0 (0.04)	1
production and related workers, transport equipment operators, and laborers	289 (288.41)	10 (10.59)	299
professional, technical, and related workers	4 (3.86)	0 (0.14)	4
sales workers	16 (21.22)	6 (0.78)	22
service workers	10 (9.65)	0 (0.35)	10
total	599	22	621

chi square wasn't calculated because 8 expected values were less than 5

Whether he died while in the regiment, by start rank (commissioned officer or not)

	did not die while in regiment	died while in regiment	total
did not start as commissioned officer	1846 (1842.86)	184 (187.14)	2030
started as commissioned officer	25 (28.14)	6 (2.86)	31
total	1871	190	2061

chi square wasn't calculated because 1 expected values were less than 5

Reason for leaving the regiment, by start rank (commissioned officer or not)

	did not start as commissioned officer	started as commissioned officer	total
[unknown]	26 (25.61)	0 (0.39)	26
deserted	296 (291.55)	0 (4.45)	296
died (accidentally killed)	7 (6.89)	0 (0.11)	7
died (by committing suicide)	3 (2.95)	0 (0.05)	3
died (by drowning)	3 (2.95)	0 (0.05)	3
died (in Confederate prison)	6 (5.91)	0 (0.09)	6
died (killed in action)	63 (63.04)	1 (0.96)	64
died (of battle wounds)	45 (48.26)	4 (0.74)	49
died (of illness)	52 (51.22)	0 (0.78)	52
died (probably of illness)	5 (5.91)	1 (0.09)	6
disappears from records without explanation	1 (0.98)	0 (0.02)	1
enlisted but not on other records	37 (36.44)	0 (0.56)	37
rejected by Board of Medical Examiners	1 (0.98)	0 (0.02)	1
unknown	5 (4.92)	0 (0.08)	5
was absent on detached duty when the regiment mustered out	4 (3.94)	0 (0.06)	4
was absent on furlough when the regiment mustered out	8 (7.88)	0 (0.12)	8
was absent when the regiment mustered out	85 (83.72)	0 (1.28)	85
was absent without leave when the regiment mustered out	2 (1.97)	0 (0.03)	2
was cashiered	3 (2.95)	0 (0.05)	3
was discharged	10 (9.85)	0 (0.15)	10
was discharged because overage	1 (0.98)	0 (0.02)	1
was discharged because underage	14 (13.79)	0 (0.21)	14
was discharged by general order	159 (156.61)	0 (2.39)	159
was discharged by habeas corpus	7 (6.89)	0 (0.11)	7
was discharged by special order	23 (25.61)	3 (0.39)	26
was discharged on surgeon's certificate of disability	332 (334.89)	8 (5.11)	340
was discharged to be promoted	3 (3.94)	1 (0.06)	4
was discharged when his term expired	68 (70.92)	4 (1.08)	72
was dishonorably discharged by general court martial	5 (4.92)	0 (0.08)	5
was dismissed	2 (2.95)	1 (0.05)	3
was dropped from rolls	1 (0.98)	0 (0.02)	1
was missing in action	5 (4.92)	0 (0.08)	5
was mustered out	3 (2.95)	0 (0.05)	3
was mustered out with the regiment	652 (644.16)	2 (9.84)	654
was resigned	3 (7.88)	5 (0.12)	8
was transferred	28 (28.56)	1 (0.44)	29
was transferred to the Veterans' Reserve Corps	62 (61.07)	0 (0.93)	62
total	2030	31	2061

chi square wasn't calculated because 50 expected values were less than 5

Occupation class at enlistment, by start rank (commissioned officer or not)

	did not start as commissioned officer	started as commissioned officer	total
Artisans	428 (421.56)	0 (6.44)	428
Manual laborers	416 (409.74)	0 (6.26)	416
Not in labor force	4 (3.94)	0 (0.06)	4
Professionals and large proprietors	16 (15.76)	0 (0.24)	16
Semi-professionals and smaller proprietors	381 (375.27)	0 (5.73)	381
Service and semi-skilled workers	107 (105.39)	0 (1.61)	107
[unknown]	617 (638.25)	31 (9.75)	648
unknown class	61 (60.08)	0 (0.92)	61
total	2030	31	2061

chi square wasn't calculated because 5 expected values were less than 5

HISCO major occupation class at enlistment, by start rank (commissioned officer or not)

	did not start as commissioned officer	started as commissioned officer	total
[unknown]	632 (653.03)	31 (9.97)	663
administrative and managerial workers	1 (0.98)	0 (0.02)	1
agricultural, animal husbandry and forestry workers, fisherman, and hunters	207 (203.89)	0 (3.11)	207
clerical and related workers	84 (82.74)	0 (1.26)	84
not in work force	4 (3.94)	0 (0.06)	4
production and related workers, transport equipment operators, and laborers	1041 (1025.34)	0 (15.66)	1041
professional, technical, and related workers	10 (9.85)	0 (0.15)	10
sales workers	35 (34.47)	0 (0.53)	35
service workers	16 (15.76)	0 (0.24)	16
total	2030	31	2061

chi square wasn't calculated because 9 expected values were less than 5

Whether anyone applied for a pension, by start rank (commissioned officer or not)

	did not start as commissioned officer	started as commissioned officer	total
[unknown]	20 (19.7)	0 (0.3)	20
applied for pension	1211 (1216.42)	24 (18.58)	1235
did not apply for pension	799 (793.88)	7 (12.12)	806
total	2030	31	2061

values in parentheses are expected values
degrees of freedom: 2
chi-square: 4.11
p < 0.15
Cramer's V: 0.04

Whether anyone received a pension, by start rank (commissioned officer or not)

	did not start as commissioned officer	started as commissioned officer	total
[unknown]	20 (19.7)	0 (0.3)	20
did not receive pension	915 (910.1)	9 (13.9)	924
received pension	1095 (1100.2)	22 (16.8)	1117
total	2030	31	2061

values in parentheses are expected values
degrees of freedom: 2
chi-square: 3.69
p < 0.2
Cramer's V: 0.04

Time in regiment, by start rank (commissioned officer or not)

	did not start as commissioned officer	started as commissioned officer	total
0	86 (84.71)	0 (1.29)	86
1	7 (6.89)	0 (0.11)	7
2	8 (7.88)	0 (0.12)	8
3	3 (2.95)	0 (0.05)	3
4	6 (5.91)	0 (0.09)	6
5	5 (4.92)	0 (0.08)	5
6	2 (1.97)	0 (0.03)	2
7	4 (3.94)	0 (0.06)	4
8	3 (2.95)	0 (0.05)	3
10	2 (1.97)	0 (0.03)	2
11	2 (1.97)	0 (0.03)	2
12	1 (0.98)	0 (0.02)	1
13	1 (0.98)	0 (0.02)	1
14	1 (0.98)	0 (0.02)	1
15	1 (0.98)	0 (0.02)	1
16	1 (0.98)	0 (0.02)	1
18	1 (0.98)	0 (0.02)	1
19	3 (2.95)	0 (0.05)	3
20	2 (1.97)	0 (0.03)	2
21	6 (5.91)	0 (0.09)	6
22	1 (0.98)	0 (0.02)	1
23	2 (1.97)	0 (0.03)	2
24	2 (1.97)	0 (0.03)	2
25	3 (2.95)	0 (0.05)	3
27	3 (2.95)	0 (0.05)	3
28	2 (1.97)	0 (0.03)	2
29	1 (0.98)	0 (0.02)	1
30	2 (1.97)	0 (0.03)	2
31	2 (1.97)	0 (0.03)	2
32	2 (1.97)	0 (0.03)	2
33	2 (1.97)	0 (0.03)	2
35	1 (0.98)	0 (0.02)	1
36	4 (3.94)	0 (0.06)	4
38	3 (2.95)	0 (0.05)	3
39	1 (0.98)	0 (0.02)	1
40	2 (1.97)	0 (0.03)	2
41	3 (2.95)	0 (0.05)	3
42	2 (1.97)	0 (0.03)	2
43	1 (0.98)	0 (0.02)	1
44	4 (3.94)	0 (0.06)	4
45	2 (1.97)	0 (0.03)	2
46	1 (0.98)	0 (0.02)	1
47	2 (1.97)	0 (0.03)	2
48	1 (0.98)	0 (0.02)	1
50	1 (0.98)	0 (0.02)	1
51	1 (0.98)	0 (0.02)	1
53	1 (0.98)	0 (0.02)	1
54	6 (5.91)	0 (0.09)	6
55	2 (1.97)	0 (0.03)	2
56	1 (0.98)	0 (0.02)	1
57	3 (2.95)	0 (0.05)	3
59	1 (0.98)	0 (0.02)	1
60	7 (6.89)	0 (0.11)	7
61	2 (1.97)	0 (0.03)	2
62	1 (0.98)	0 (0.02)	1
63	3 (2.95)	0 (0.05)	3
64	2 (1.97)	0 (0.03)	2
65	3 (2.95)	0 (0.05)	3
66	3 (2.95)	0 (0.05)	3
67	1 (0.98)	0 (0.02)	1
68	1 (0.98)	0 (0.02)	1
70	1 (0.98)	0 (0.02)	1
71	1 (0.98)	0 (0.02)	1
72	1 (0.98)	0 (0.02)	1
73	3 (2.95)	0 (0.05)	3
76	1 (0.98)	0 (0.02)	1
77	1 (0.98)	0 (0.02)	1
78	1 (0.98)	0 (0.02)	1
80	2 (1.97)	0 (0.03)	2
81	1 (0.98)	0 (0.02)	1
82	2 (1.97)	0 (0.03)	2
83	1 (0.98)	0 (0.02)	1
85	2 (1.97)	0 (0.03)	2
86	2 (1.97)	0 (0.03)	2
87	3 (2.95)	0 (0.05)	3
88	7 (6.89)	0 (0.11)	7
89	5 (4.92)	0 (0.08)	5
90	3 (2.95)	0 (0.05)	3
91	3 (2.95)	0 (0.05)	3
92	1 (0.98)	0 (0.02)	1
93	2 (1.97)	0 (0.03)	2
94	4 (3.94)	0 (0.06)	4
95	4 (3.94)	0 (0.06)	4
96	1 (0.98)	0 (0.02)	1
97	2 (1.97)	0 (0.03)	2
98	1 (0.98)	0 (0.02)	1
100	2 (2.95)	1 (0.05)	3
101	1 (0.98)	0 (0.02)	1
102	5 (4.92)	0 (0.08)	5
103	10 (9.85)	0 (0.15)	10
104	23 (23.64)	1 (0.36)	24
105	19 (18.71)	0 (0.29)	19
106	4 (3.94)	0 (0.06)	4
107	11 (10.83)	0 (0.17)	11
108	28 (27.58)	0 (0.42)	28
109	27 (26.59)	0 (0.41)	27
110	20 (19.7)	0 (0.3)	20
111	16 (15.76)	0 (0.24)	16
112	11 (10.83)	0 (0.17)	11
113	5 (4.92)	0 (0.08)	5
114	9 (8.86)	0 (0.14)	9
115	7 (6.89)	0 (0.11)	7
116	20 (19.7)	0 (0.3)	20
117	23 (22.65)	0 (0.35)	23
118	4 (3.94)	0 (0.06)	4
119	6 (5.91)	0 (0.09)	6
121	19 (18.71)	0 (0.29)	19
122	4 (3.94)	0 (0.06)	4
123	3 (2.95)	0 (0.05)	3
124	5 (4.92)	0 (0.08)	5
125	4 (3.94)	0 (0.06)	4
126	5 (4.92)	0 (0.08)	5
127	3 (2.95)	0 (0.05)	3
128	2 (1.97)	0 (0.03)	2
129	1 (0.98)	0 (0.02)	1
130	21 (20.68)	0 (0.32)	21
131	1 (0.98)	0 (0.02)	1
132	48 (47.28)	0 (0.72)	48
133	5 (4.92)	0 (0.08)	5
134	1 (0.98)	0 (0.02)	1
135	3 (2.95)	0 (0.05)	3
136	3 (2.95)	0 (0.05)	3
137	1 (0.98)	0 (0.02)	1
138	3 (2.95)	0 (0.05)	3
139	1 (0.98)	0 (0.02)	1
141	1 (0.98)	0 (0.02)	1
142	1 (0.98)	0 (0.02)	1
143	2 (1.97)	0 (0.03)	2
144	3 (2.95)	0 (0.05)	3
145	3 (2.95)	0 (0.05)	3
146	1 (0.98)	0 (0.02)	1
147	4 (3.94)	0 (0.06)	4
149	6 (5.91)	0 (0.09)	6
150	2 (1.97)	0 (0.03)	2
151	2 (1.97)	0 (0.03)	2
152	2 (1.97)	0 (0.03)	2
153	1 (0.98)	0 (0.02)	1
154	2 (1.97)	0 (0.03)	2
156	1 (0.98)	0 (0.02)	1
157	1 (0.98)	0 (0.02)	1
158	2 (1.97)	0 (0.03)	2
159	1 (0.98)	0 (0.02)	1
160	3 (2.95)	0 (0.05)	3
161	3 (2.95)	0 (0.05)	3
162	3 (2.95)	0 (0.05)	3
163	1 (0.98)	0 (0.02)	1
165	3 (2.95)	0 (0.05)	3
166	1 (0.98)	0 (0.02)	1
167	1 (0.98)	0 (0.02)	1
170	2 (1.97)	0 (0.03)	2
171	2 (1.97)	0 (0.03)	2
172	4 (3.94)	0 (0.06)	4
173	2 (1.97)	0 (0.03)	2
174	2 (1.97)	0 (0.03)	2
175	4 (3.94)	0 (0.06)	4
176	1 (0.98)	0 (0.02)	1
177	1 (0.98)	0 (0.02)	1
178	2 (1.97)	0 (0.03)	2
179	2 (1.97)	0 (0.03)	2
180	3 (2.95)	0 (0.05)	3
182	3 (2.95)	0 (0.05)	3
183	3 (2.95)	0 (0.05)	3
186	2 (1.97)	0 (0.03)	2
187	1 (0.98)	0 (0.02)	1
188	2 (1.97)	0 (0.03)	2
190	1 (0.98)	0 (0.02)	1
191	3 (2.95)	0 (0.05)	3
193	1 (0.98)	0 (0.02)	1
195	1 (0.98)	0 (0.02)	1
196	4 (3.94)	0 (0.06)	4
197	1 (0.98)	0 (0.02)	1
198	1 (0.98)	0 (0.02)	1
199	1 (0.98)	0 (0.02)	1
201	1 (0.98)	0 (0.02)	1
202	1 (0.98)	0 (0.02)	1
203	1 (0.98)	0 (0.02)	1
205	1 (0.98)	0 (0.02)	1
208	3 (2.95)	0 (0.05)	3
209	1 (0.98)	0 (0.02)	1
210	1 (0.98)	0 (0.02)	1
211	1 (0.98)	0 (0.02)	1
212	3 (2.95)	0 (0.05)	3
214	3 (2.95)	0 (0.05)	3
215	1 (0.98)	0 (0.02)	1
216	1 (0.98)	0 (0.02)	1
218	3 (2.95)	0 (0.05)	3
219	1 (0.98)	0 (0.02)	1
222	2 (1.97)	0 (0.03)	2
223	2 (1.97)	0 (0.03)	2
226	3 (2.95)	0 (0.05)	3
230	4 (3.94)	0 (0.06)	4
231	1 (0.98)	0 (0.02)	1
232	1 (0.98)	0 (0.02)	1
233	3 (2.95)	0 (0.05)	3
234	2 (1.97)	0 (0.03)	2
236	1 (0.98)	0 (0.02)	1
237	1 (0.98)	0 (0.02)	1
238	2 (1.97)	0 (0.03)	2
239	1 (0.98)	0 (0.02)	1
240	1 (0.98)	0 (0.02)	1
241	3 (2.95)	0 (0.05)	3
242	2 (1.97)	0 (0.03)	2
244	2 (1.97)	0 (0.03)	2
245	2 (1.97)	0 (0.03)	2
246	13 (13.79)	1 (0.21)	14
247	3 (2.95)	0 (0.05)	3
248	2 (1.97)	0 (0.03)	2
249	1 (0.98)	0 (0.02)	1
250	3 (2.95)	0 (0.05)	3
251	5 (4.92)	0 (0.08)	5
252	14 (13.79)	0 (0.21)	14
253	19 (18.71)	0 (0.29)	19
254	1 (1.97)	1 (0.03)	2
255	1 (0.98)	0 (0.02)	1
256	5 (4.92)	0 (0.08)	5
257	1 (0.98)	0 (0.02)	1
258	1 (0.98)	0 (0.02)	1
260	2 (1.97)	0 (0.03)	2
261	1 (0.98)	0 (0.02)	1
263	1 (0.98)	0 (0.02)	1
264	2 (1.97)	0 (0.03)	2
265	1 (0.98)	0 (0.02)	1
266	1 (0.98)	0 (0.02)	1
267	4 (3.94)	0 (0.06)	4
271	1 (0.98)	0 (0.02)	1
272	2 (1.97)	0 (0.03)	2
273	2 (1.97)	0 (0.03)	2
274	3 (2.95)	0 (0.05)	3
275	9 (8.86)	0 (0.14)	9
276	12 (11.82)	0 (0.18)	12
277	3 (2.95)	0 (0.05)	3
278	5 (4.92)	0 (0.08)	5
279	2 (1.97)	0 (0.03)	2
280	2 (1.97)	0 (0.03)	2
281	1 (0.98)	0 (0.02)	1
282	1 (0.98)	0 (0.02)	1
285	3 (2.95)	0 (0.05)	3
286	1 (0.98)	0 (0.02)	1
291	2 (1.97)	0 (0.03)	2
292	1 (0.98)	0 (0.02)	1
294	2 (1.97)	0 (0.03)	2
295	2 (1.97)	0 (0.03)	2
299	2 (1.97)	0 (0.03)	2
302	2 (1.97)	0 (0.03)	2
304	1 (0.98)	0 (0.02)	1
305	1 (0.98)	0 (0.02)	1
307	2 (1.97)	0 (0.03)	2
309	4 (3.94)	0 (0.06)	4
310	2 (1.97)	0 (0.03)	2
311	2 (1.97)	0 (0.03)	2
313	1 (0.98)	0 (0.02)	1
315	1 (0.98)	0 (0.02)	1
317	2 (1.97)	0 (0.03)	2
318	1 (0.98)	0 (0.02)	1
320	1 (0.98)	0 (0.02)	1
323	1 (0.98)	0 (0.02)	1
324	1 (0.98)	0 (0.02)	1
325	1 (0.98)	0 (0.02)	1
327	1 (0.98)	0 (0.02)	1
328	0 (0.98)	1 (0.02)	1
329	4 (3.94)	0 (0.06)	4
330	2 (1.97)	0 (0.03)	2
332	2 (1.97)	0 (0.03)	2
333	2 (1.97)	0 (0.03)	2
335	1 (0.98)	0 (0.02)	1
338	3 (2.95)	0 (0.05)	3
339	1 (0.98)	0 (0.02)	1
343	1 (0.98)	0 (0.02)	1
345	1 (0.98)	0 (0.02)	1
346	2 (1.97)	0 (0.03)	2
348	2 (1.97)	0 (0.03)	2
350	1 (0.98)	0 (0.02)	1
353	1 (0.98)	0 (0.02)	1
354	1 (0.98)	0 (0.02)	1
358	1 (0.98)	0 (0.02)	1
360	1 (0.98)	0 (0.02)	1
361	1 (0.98)	0 (0.02)	1
365	1 (0.98)	0 (0.02)	1
366	1 (0.98)	0 (0.02)	1
367	1 (0.98)	0 (0.02)	1
368	1 (0.98)	0 (0.02)	1
372	1 (0.98)	0 (0.02)	1
375	1 (0.98)	0 (0.02)	1
378	1 (0.98)	0 (0.02)	1
380	1 (1.97)	1 (0.03)	2
381	2 (1.97)	0 (0.03)	2
382	4 (3.94)	0 (0.06)	4
383	1 (0.98)	0 (0.02)	1
386	1 (0.98)	0 (0.02)	1
389	2 (1.97)	0 (0.03)	2
391	1 (0.98)	0 (0.02)	1
392	1 (0.98)	0 (0.02)	1
393	1 (0.98)	0 (0.02)	1
398	1 (0.98)	0 (0.02)	1
399	1 (0.98)	0 (0.02)	1
401	1 (1.97)	1 (0.03)	2
402	4 (4.92)	1 (0.08)	5
403	2 (1.97)	0 (0.03)	2
404	2 (1.97)	0 (0.03)	2
405	1 (0.98)	0 (0.02)	1
407	1 (0.98)	0 (0.02)	1
410	2 (1.97)	0 (0.03)	2
411	1 (0.98)	0 (0.02)	1
413	3 (2.95)	0 (0.05)	3
414	1 (0.98)	0 (0.02)	1
415	1 (0.98)	0 (0.02)	1
417	1 (0.98)	0 (0.02)	1
419	1 (0.98)	0 (0.02)	1
420	1 (1.97)	1 (0.03)	2
421	2 (1.97)	0 (0.03)	2
422	1 (0.98)	0 (0.02)	1
423	1 (0.98)	0 (0.02)	1
425	1 (0.98)	0 (0.02)	1
427	1 (0.98)	0 (0.02)	1
428	4 (3.94)	0 (0.06)	4
429	1 (0.98)	0 (0.02)	1
432	1 (0.98)	0 (0.02)	1
433	1 (0.98)	0 (0.02)	1
434	1 (0.98)	0 (0.02)	1
435	1 (0.98)	0 (0.02)	1
436	2 (1.97)	0 (0.03)	2
437	2 (1.97)	0 (0.03)	2
438	1 (0.98)	0 (0.02)	1
439	2 (1.97)	0 (0.03)	2
441	1 (0.98)	0 (0.02)	1
442	1 (0.98)	0 (0.02)	1
443	1 (0.98)	0 (0.02)	1
444	2 (1.97)	0 (0.03)	2
447	2 (1.97)	0 (0.03)	2
448	1 (0.98)	0 (0.02)	1
449	1 (0.98)	0 (0.02)	1
451	1 (0.98)	0 (0.02)	1
452	3 (3.94)	1 (0.06)	4
453	2 (1.97)	0 (0.03)	2
455	1 (0.98)	0 (0.02)	1
456	3 (2.95)	0 (0.05)	3
457	1 (0.98)	0 (0.02)	1
458	3 (2.95)	0 (0.05)	3
459	3 (2.95)	0 (0.05)	3
462	1 (0.98)	0 (0.02)	1
464	1 (0.98)	0 (0.02)	1
465	2 (1.97)	0 (0.03)	2
466	1 (0.98)	0 (0.02)	1
467	1 (0.98)	0 (0.02)	1
468	1 (0.98)	0 (0.02)	1
469	1 (0.98)	0 (0.02)	1
470	1 (0.98)	0 (0.02)	1
471	2 (1.97)	0 (0.03)	2
472	3 (2.95)	0 (0.05)	3
475	5 (5.91)	1 (0.09)	6
477	2 (1.97)	0 (0.03)	2
478	2 (1.97)	0 (0.03)	2
479	2 (1.97)	0 (0.03)	2
480	1 (0.98)	0 (0.02)	1
481	1 (0.98)	0 (0.02)	1
482	2 (1.97)	0 (0.03)	2
483	2 (1.97)	0 (0.03)	2
484	1 (0.98)	0 (0.02)	1
485	1 (0.98)	0 (0.02)	1
486	3 (2.95)	0 (0.05)	3
487	2 (1.97)	0 (0.03)	2
489	3 (2.95)	0 (0.05)	3
490	2 (1.97)	0 (0.03)	2
491	1 (0.98)	0 (0.02)	1
493	2 (1.97)	0 (0.03)	2
494	2 (1.97)	0 (0.03)	2
496	3 (2.95)	0 (0.05)	3
497	1 (0.98)	0 (0.02)	1
498	2 (1.97)	0 (0.03)	2
499	3 (2.95)	0 (0.05)	3
500	3 (2.95)	0 (0.05)	3
501	2 (1.97)	0 (0.03)	2
502	3 (2.95)	0 (0.05)	3
503	3 (2.95)	0 (0.05)	3
506	3 (2.95)	0 (0.05)	3
507	3 (2.95)	0 (0.05)	3
508	2 (1.97)	0 (0.03)	2
510	3 (2.95)	0 (0.05)	3
511	4 (3.94)	0 (0.06)	4
512	3 (2.95)	0 (0.05)	3
513	5 (4.92)	0 (0.08)	5
514	1 (0.98)	0 (0.02)	1
515	1 (0.98)	0 (0.02)	1
516	1 (0.98)	0 (0.02)	1
517	6 (5.91)	0 (0.09)	6
518	4 (4.92)	1 (0.08)	5
520	3 (2.95)	0 (0.05)	3
521	2 (1.97)	0 (0.03)	2
522	5 (4.92)	0 (0.08)	5
523	5 (4.92)	0 (0.08)	5
524	6 (5.91)	0 (0.09)	6
525	2 (1.97)	0 (0.03)	2
526	1 (0.98)	0 (0.02)	1
527	1 (0.98)	0 (0.02)	1
528	1 (1.97)	1 (0.03)	2
529	5 (4.92)	0 (0.08)	5
530	7 (6.89)	0 (0.11)	7
531	9 (8.86)	0 (0.14)	9
535	1 (0.98)	0 (0.02)	1
536	7 (6.89)	0 (0.11)	7
537	4 (3.94)	0 (0.06)	4
538	1 (1.97)	1 (0.03)	2
540	2 (1.97)	0 (0.03)	2
541	3 (2.95)	0 (0.05)	3
543	3 (2.95)	0 (0.05)	3
544	2 (1.97)	0 (0.03)	2
545	5 (4.92)	0 (0.08)	5
549	1 (0.98)	0 (0.02)	1
551	1 (0.98)	0 (0.02)	1
552	3 (2.95)	0 (0.05)	3
556	3 (2.95)	0 (0.05)	3
559	2 (1.97)	0 (0.03)	2
560	1 (0.98)	0 (0.02)	1
562	2 (1.97)	0 (0.03)	2
563	1 (0.98)	0 (0.02)	1
565	1 (0.98)	0 (0.02)	1
567	1 (0.98)	0 (0.02)	1
568	0 (0.98)	1 (0.02)	1
571	1 (0.98)	0 (0.02)	1
572	2 (1.97)	0 (0.03)	2
573	1 (0.98)	0 (0.02)	1
577	1 (0.98)	0 (0.02)	1
579	2 (1.97)	0 (0.03)	2
581	3 (2.95)	0 (0.05)	3
582	1 (0.98)	0 (0.02)	1
587	1 (0.98)	0 (0.02)	1
588	1 (0.98)	0 (0.02)	1
589	2 (1.97)	0 (0.03)	2
590	2 (1.97)	0 (0.03)	2
592	1 (0.98)	0 (0.02)	1
593	2 (1.97)	0 (0.03)	2
594	1 (0.98)	0 (0.02)	1
595	1 (0.98)	0 (0.02)	1
596	3 (2.95)	0 (0.05)	3
597	0 (0.98)	1 (0.02)	1
598	2 (1.97)	0 (0.03)	2
599	1 (0.98)	0 (0.02)	1
600	1 (0.98)	0 (0.02)	1
603	3 (2.95)	0 (0.05)	3
604	1 (0.98)	0 (0.02)	1
605	1 (0.98)	0 (0.02)	1
606	2 (1.97)	0 (0.03)	2
608	1 (0.98)	0 (0.02)	1
611	1 (0.98)	0 (0.02)	1
614	2 (1.97)	0 (0.03)	2
621	2 (1.97)	0 (0.03)	2
627	1 (0.98)	0 (0.02)	1
629	1 (0.98)	0 (0.02)	1
630	1 (0.98)	0 (0.02)	1
631	2 (1.97)	0 (0.03)	2
634	2 (1.97)	0 (0.03)	2
635	1 (0.98)	0 (0.02)	1
637	1 (0.98)	0 (0.02)	1
641	2 (1.97)	0 (0.03)	2
643	0 (0.98)	1 (0.02)	1
647	1 (0.98)	0 (0.02)	1
648	1 (0.98)	0 (0.02)	1
649	1 (0.98)	0 (0.02)	1
650	1 (0.98)	0 (0.02)	1
651	2 (1.97)	0 (0.03)	2
652	1 (0.98)	0 (0.02)	1
653	1 (0.98)	0 (0.02)	1
654	1 (0.98)	0 (0.02)	1
655	4 (3.94)	0 (0.06)	4
659	1 (0.98)	0 (0.02)	1
662	1 (0.98)	0 (0.02)	1
664	1 (0.98)	0 (0.02)	1
665	1 (0.98)	0 (0.02)	1
666	1 (0.98)	0 (0.02)	1
667	1 (0.98)	0 (0.02)	1
668	1 (0.98)	0 (0.02)	1
669	6 (5.91)	0 (0.09)	6
670	6 (5.91)	0 (0.09)	6
672	2 (1.97)	0 (0.03)	2
674	1 (0.98)	0 (0.02)	1
679	2 (1.97)	0 (0.03)	2
680	1 (0.98)	0 (0.02)	1
682	1 (0.98)	0 (0.02)	1
683	4 (3.94)	0 (0.06)	4
684	1 (0.98)	0 (0.02)	1
685	1 (0.98)	0 (0.02)	1
687	1 (0.98)	0 (0.02)	1
688	1 (0.98)	0 (0.02)	1
692	1 (0.98)	0 (0.02)	1
695	1 (0.98)	0 (0.02)	1
696	1 (0.98)	0 (0.02)	1
697	1 (0.98)	0 (0.02)	1
698	2 (1.97)	0 (0.03)	2
700	1 (0.98)	0 (0.02)	1
703	2 (1.97)	0 (0.03)	2
708	1 (0.98)	0 (0.02)	1
709	7 (6.89)	0 (0.11)	7
711	3 (2.95)	0 (0.05)	3
712	1 (0.98)	0 (0.02)	1
713	2 (1.97)	0 (0.03)	2
715	1 (0.98)	0 (0.02)	1
717	6 (5.91)	0 (0.09)	6
718	1 (0.98)	0 (0.02)	1
719	2 (1.97)	0 (0.03)	2
721	5 (4.92)	0 (0.08)	5
722	1 (0.98)	0 (0.02)	1
723	5 (4.92)	0 (0.08)	5
724	9 (8.86)	0 (0.14)	9
725	3 (2.95)	0 (0.05)	3
726	8 (7.88)	0 (0.12)	8
727	1 (0.98)	0 (0.02)	1
728	5 (4.92)	0 (0.08)	5
730	1 (0.98)	0 (0.02)	1
731	8 (7.88)	0 (0.12)	8
733	1 (0.98)	0 (0.02)	1
734	1 (0.98)	0 (0.02)	1
737	1 (0.98)	0 (0.02)	1
742	1 (0.98)	0 (0.02)	1
744	1 (0.98)	0 (0.02)	1
745	1 (0.98)	0 (0.02)	1
750	1 (0.98)	0 (0.02)	1
751	3 (2.95)	0 (0.05)	3
759	1 (0.98)	0 (0.02)	1
760	1 (0.98)	0 (0.02)	1
765	1 (0.98)	0 (0.02)	1
766	1 (0.98)	0 (0.02)	1
773	1 (0.98)	0 (0.02)	1
777	1 (0.98)	0 (0.02)	1
789	1 (0.98)	0 (0.02)	1
794	2 (1.97)	0 (0.03)	2
800	1 (1.97)	1 (0.03)	2
802	1 (0.98)	0 (0.02)	1
806	2 (1.97)	0 (0.03)	2
812	1 (0.98)	0 (0.02)	1
818	1 (0.98)	0 (0.02)	1
823	2 (1.97)	0 (0.03)	2
826	1 (0.98)	0 (0.02)	1
832	0 (0.98)	1 (0.02)	1
836	1 (0.98)	0 (0.02)	1
847	2 (1.97)	0 (0.03)	2
849	1 (0.98)	0 (0.02)	1
850	1 (0.98)	0 (0.02)	1
852	1 (0.98)	0 (0.02)	1
853	1 (0.98)	0 (0.02)	1
857	1 (0.98)	0 (0.02)	1
861	1 (0.98)	0 (0.02)	1
867	1 (0.98)	0 (0.02)	1
874	1 (0.98)	0 (0.02)	1
875	1 (0.98)	0 (0.02)	1
877	1 (0.98)	0 (0.02)	1
879	1 (0.98)	0 (0.02)	1
880	1 (0.98)	0 (0.02)	1
881	1 (0.98)	0 (0.02)	1
888	1 (0.98)	0 (0.02)	1
890	2 (1.97)	0 (0.03)	2
895	1 (0.98)	0 (0.02)	1
896	1 (0.98)	0 (0.02)	1
900	1 (0.98)	0 (0.02)	1
904	1 (0.98)	0 (0.02)	1
906	1 (0.98)	0 (0.02)	1
908	1 (0.98)	0 (0.02)	1
915	1 (0.98)	0 (0.02)	1
920	1 (0.98)	0 (0.02)	1
928	1 (0.98)	0 (0.02)	1
932	2 (1.97)	0 (0.03)	2
933	2 (1.97)	0 (0.03)	2
935	1 (0.98)	0 (0.02)	1
938	1 (0.98)	0 (0.02)	1
942	1 (0.98)	0 (0.02)	1
944	1 (0.98)	0 (0.02)	1
948	1 (0.98)	0 (0.02)	1
949	1 (0.98)	0 (0.02)	1
950	1 (0.98)	0 (0.02)	1
951	1 (0.98)	0 (0.02)	1
952	1 (0.98)	0 (0.02)	1
955	1 (0.98)	0 (0.02)	1
956	1 (0.98)	0 (0.02)	1
964	1 (0.98)	0 (0.02)	1
967	2 (1.97)	0 (0.03)	2
970	1 (0.98)	0 (0.02)	1
973	2 (1.97)	0 (0.03)	2
979	1 (0.98)	0 (0.02)	1
981	1 (0.98)	0 (0.02)	1
982	0 (0.98)	1 (0.02)	1
984	1 (0.98)	0 (0.02)	1
987	3 (2.95)	0 (0.05)	3
990	2 (1.97)	0 (0.03)	2
991	2 (1.97)	0 (0.03)	2
992	1 (0.98)	0 (0.02)	1
1000	1 (0.98)	0 (0.02)	1
1003	2 (1.97)	0 (0.03)	2
1008	2 (2.95)	1 (0.05)	3
1009	1 (0.98)	0 (0.02)	1
1011	1 (0.98)	0 (0.02)	1
1012	1 (0.98)	0 (0.02)	1
1013	2 (1.97)	0 (0.03)	2
1016	2 (1.97)	0 (0.03)	2
1017	2 (1.97)	0 (0.03)	2
1018	2 (1.97)	0 (0.03)	2
1019	1 (0.98)	0 (0.02)	1
1020	1 (0.98)	0 (0.02)	1
1021	0 (0.98)	1 (0.02)	1
1024	1 (0.98)	0 (0.02)	1
1025	2 (1.97)	0 (0.03)	2
1026	2 (1.97)	0 (0.03)	2
1027	2 (1.97)	0 (0.03)	2
1030	1 (0.98)	0 (0.02)	1
1031	1 (0.98)	0 (0.02)	1
1032	2 (1.97)	0 (0.03)	2
1033	1 (0.98)	0 (0.02)	1
1034	1 (0.98)	0 (0.02)	1
1036	1 (0.98)	0 (0.02)	1
1037	1 (0.98)	0 (0.02)	1
1038	2 (1.97)	0 (0.03)	2
1043	1 (0.98)	0 (0.02)	1
1044	1 (0.98)	0 (0.02)	1
1047	1 (0.98)	0 (0.02)	1
1052	2 (1.97)	0 (0.03)	2
1055	1 (0.98)	0 (0.02)	1
1056	1 (0.98)	0 (0.02)	1
1059	2 (1.97)	0 (0.03)	2
1062	1 (0.98)	0 (0.02)	1
1063	3 (2.95)	0 (0.05)	3
1066	2 (1.97)	0 (0.03)	2
1068	2 (1.97)	0 (0.03)	2
1069	2 (1.97)	0 (0.03)	2
1073	1 (0.98)	0 (0.02)	1
1078	1 (0.98)	0 (0.02)	1
1082	1 (0.98)	0 (0.02)	1
1083	1 (0.98)	0 (0.02)	1
1086	2 (1.97)	0 (0.03)	2
1089	1 (0.98)	0 (0.02)	1
1091	1 (0.98)	0 (0.02)	1
1095	0 (0.98)	1 (0.02)	1
1096	13 (14.77)	2 (0.23)	15
1097	1 (0.98)	0 (0.02)	1
1098	1 (0.98)	0 (0.02)	1
1099	0 (0.98)	1 (0.02)	1
1101	3 (2.95)	0 (0.05)	3
1102	2 (1.97)	0 (0.03)	2
1104	1 (0.98)	0 (0.02)	1
1106	1 (0.98)	0 (0.02)	1
1107	1 (0.98)	0 (0.02)	1
1108	6 (5.91)	0 (0.09)	6
1109	2 (1.97)	0 (0.03)	2
1110	1 (0.98)	0 (0.02)	1
1112	1 (0.98)	0 (0.02)	1
1113	2 (1.97)	0 (0.03)	2
1114	4 (3.94)	0 (0.06)	4
1115	1 (1.97)	1 (0.03)	2
1116	3 (2.95)	0 (0.05)	3
1118	1 (0.98)	0 (0.02)	1
1119	2 (1.97)	0 (0.03)	2
1120	1 (0.98)	0 (0.02)	1
1123	3 (2.95)	0 (0.05)	3
1124	1 (0.98)	0 (0.02)	1
1125	2 (1.97)	0 (0.03)	2
1126	1 (0.98)	0 (0.02)	1
1127	3 (2.95)	0 (0.05)	3
1128	1 (0.98)	0 (0.02)	1
1129	1 (0.98)	0 (0.02)	1
1131	1 (0.98)	0 (0.02)	1
1135	1 (0.98)	0 (0.02)	1
1136	2 (1.97)	0 (0.03)	2
1137	0 (0.98)	1 (0.02)	1
1138	1 (0.98)	0 (0.02)	1
1140	2 (1.97)	0 (0.03)	2
1141	1 (0.98)	0 (0.02)	1
1143	1 (0.98)	0 (0.02)	1
1146	2 (1.97)	0 (0.03)	2
1148	1 (0.98)	0 (0.02)	1
1150	1 (0.98)	0 (0.02)	1
1153	1 (0.98)	0 (0.02)	1
1154	1 (0.98)	0 (0.02)	1
1155	1 (0.98)	0 (0.02)	1
1160	1 (0.98)	0 (0.02)	1
1163	1 (0.98)	0 (0.02)	1
1164	1 (0.98)	0 (0.02)	1
1168	1 (0.98)	0 (0.02)	1
1172	1 (0.98)	0 (0.02)	1
1177	1 (0.98)	0 (0.02)	1
1183	1 (0.98)	0 (0.02)	1
1186	1 (0.98)	0 (0.02)	1
1190	1 (0.98)	0 (0.02)	1
1193	1 (0.98)	0 (0.02)	1
1208	1 (0.98)	0 (0.02)	1
1211	1 (0.98)	0 (0.02)	1
1216	1 (0.98)	0 (0.02)	1
1217	1 (0.98)	0 (0.02)	1
1224	1 (0.98)	0 (0.02)	1
1229	1 (0.98)	0 (0.02)	1
1242	1 (0.98)	0 (0.02)	1
1260	1 (0.98)	0 (0.02)	1
1261	2 (1.97)	0 (0.03)	2
1266	2 (1.97)	0 (0.03)	2
1267	1 (0.98)	0 (0.02)	1
1272	1 (0.98)	0 (0.02)	1
1273	1 (0.98)	0 (0.02)	1
1274	2 (1.97)	0 (0.03)	2
1276	2 (1.97)	0 (0.03)	2
1277	1 (0.98)	0 (0.02)	1
1280	1 (0.98)	0 (0.02)	1
1284	1 (0.98)	0 (0.02)	1
1285	2 (1.97)	0 (0.03)	2
1290	1 (0.98)	0 (0.02)	1
1292	1 (0.98)	0 (0.02)	1
1298	1 (0.98)	0 (0.02)	1
1299	1 (0.98)	0 (0.02)	1
1302	1 (0.98)	0 (0.02)	1
1306	1 (0.98)	0 (0.02)	1
1307	1 (0.98)	0 (0.02)	1
1308	2 (1.97)	0 (0.03)	2
1309	1 (0.98)	0 (0.02)	1
1313	1 (0.98)	0 (0.02)	1
1314	2 (2.95)	1 (0.05)	3
1315	0 (0.98)	1 (0.02)	1
1316	2 (2.95)	1 (0.05)	3
1317	2 (1.97)	0 (0.03)	2
1318	1 (0.98)	0 (0.02)	1
1319	2 (1.97)	0 (0.03)	2
1328	3 (2.95)	0 (0.05)	3
1329	1 (0.98)	0 (0.02)	1
1332	2 (1.97)	0 (0.03)	2
1333	1 (0.98)	0 (0.02)	1
1334	3 (2.95)	0 (0.05)	3
1335	2 (1.97)	0 (0.03)	2
1336	2 (1.97)	0 (0.03)	2
1342	3 (2.95)	0 (0.05)	3
1343	1 (0.98)	0 (0.02)	1
1344	3 (2.95)	0 (0.05)	3
1345	1 (0.98)	0 (0.02)	1
1347	1 (0.98)	0 (0.02)	1
1348	1 (0.98)	0 (0.02)	1
1350	1 (0.98)	0 (0.02)	1
1354	5 (4.92)	0 (0.08)	5
1355	1 (0.98)	0 (0.02)	1
1356	3 (2.95)	0 (0.05)	3
1357	1 (0.98)	0 (0.02)	1
1360	4 (3.94)	0 (0.06)	4
1361	2 (1.97)	0 (0.03)	2
1362	2 (1.97)	0 (0.03)	2
1364	2 (1.97)	0 (0.03)	2
1365	2 (1.97)	0 (0.03)	2
1366	2 (1.97)	0 (0.03)	2
1367	1 (0.98)	0 (0.02)	1
1368	2 (1.97)	0 (0.03)	2
1369	2 (1.97)	0 (0.03)	2
1372	5 (4.92)	0 (0.08)	5
1374	1 (0.98)	0 (0.02)	1
1375	2 (1.97)	0 (0.03)	2
1376	2 (1.97)	0 (0.03)	2
1377	1 (0.98)	0 (0.02)	1
1378	2 (1.97)	0 (0.03)	2
1379	4 (3.94)	0 (0.06)	4
1381	1 (0.98)	0 (0.02)	1
1382	2 (1.97)	0 (0.03)	2
1384	4 (3.94)	0 (0.06)	4
1385	7 (6.89)	0 (0.11)	7
1386	6 (5.91)	0 (0.09)	6
1388	1 (0.98)	0 (0.02)	1
1389	1 (0.98)	0 (0.02)	1
1390	3 (2.95)	0 (0.05)	3
1391	4 (3.94)	0 (0.06)	4
1392	1 (0.98)	0 (0.02)	1
1393	9 (8.86)	0 (0.14)	9
1394	1 (0.98)	0 (0.02)	1
1397	2 (1.97)	0 (0.03)	2
1398	4 (3.94)	0 (0.06)	4
1399	2 (1.97)	0 (0.03)	2
1400	3 (2.95)	0 (0.05)	3
1403	2 (1.97)	0 (0.03)	2
1404	1 (0.98)	0 (0.02)	1
1405	1 (0.98)	0 (0.02)	1
1407	3 (2.95)	0 (0.05)	3
1409	1 (0.98)	0 (0.02)	1
1410	4 (3.94)	0 (0.06)	4
1411	2 (1.97)	0 (0.03)	2
1412	1 (0.98)	0 (0.02)	1
1413	3 (2.95)	0 (0.05)	3
1416	2 (1.97)	0 (0.03)	2
1417	7 (6.89)	0 (0.11)	7
1418	2 (1.97)	0 (0.03)	2
1419	4 (3.94)	0 (0.06)	4
1420	19 (18.71)	0 (0.29)	19
1428	1 (0.98)	0 (0.02)	1
1431	5 (4.92)	0 (0.08)	5
1442	1 (0.98)	0 (0.02)	1
1461	1 (0.98)	0 (0.02)	1
1530	1 (0.98)	0 (0.02)	1
1551	1 (0.98)	0 (0.02)	1
[unknown]	86 (84.71)	0 (1.29)	86
total	2030	31	2061

chi square wasn't calculated because 1520 expected values were less than 5

Time in regiment (collapsed), by start rank (commissioned officer or not)

	did not start as commissioned officer	started as commissioned officer	total
A: 0-9 days	124 (122.13)	0 (1.87)	124
B: 10-399 days	913 (905.18)	6 (13.82)	919
C: 400-799 days	463 (466.87)	11 (7.13)	474
D: 800-1199 days	216 (223.59)	11 (3.41)	227
E: 1200 or more days	228 (227.53)	3 (3.47)	231
[unknown]	86 (84.71)	0 (1.29)	86
total	2030	31	2061

chi square wasn't calculated because 4 expected values were less than 5

Volunteer/Draftee/Substitute, by start rank (commissioned officer or not)

	did not start as commissioned officer	started as commissioned officer	total
[unknown]	3 (2.95)	0 (0.05)	3
draftee	314 (309.28)	0 (4.72)	314
substitute	320 (315.19)	0 (4.81)	320
volunteer	1393 (1402.58)	31 (21.42)	1424
total	2030	31	2061

chi square wasn't calculated because 4 expected values were less than 5

Owned property in 1860, by end rank (commissioned officer or not) (limited to people I've found in the 1860 census)

	no	yes	total
did not end as commissioned officer	402 (401.62)	174 (174.38)	576
ended as commissioned officer	31 (31.38)	14 (13.62)	45
total	433	188	621

values in parentheses are expected values
degrees of freedom: 1
chi-square: 0.02
p > 0.25
Cramer's V: 0.01

Age, by end rank (commissioned officer or not)

	did not end as commissioned officer	ended as commissioned officer	total
13	1 (0.96)	0 (0.04)	1
14	1 (0.96)	0 (0.04)	1
15	1 (0.96)	0 (0.04)	1
16	5 (4.81)	0 (0.19)	5
17	28 (26.93)	0 (1.07)	28
18	207 (204.84)	6 (8.16)	213
19	161 (160.6)	6 (6.4)	167
20	104 (102.9)	3 (4.1)	107
21	127 (128.86)	7 (5.14)	134
22	98 (101.94)	8 (4.06)	106
23	111 (111.55)	5 (4.45)	116
24	92 (90.4)	2 (3.6)	94
25	81 (79.82)	2 (3.18)	83
26	58 (56.74)	1 (2.26)	59
27	58 (59.62)	4 (2.38)	62
28	77 (77.9)	4 (3.1)	81
29	64 (62.51)	1 (2.49)	65
30	52 (52.89)	3 (2.11)	55
31	37 (35.58)	0 (1.42)	37
32	49 (47.12)	0 (1.88)	49
33	46 (47.12)	3 (1.88)	49
34	46 (46.16)	2 (1.84)	48
35	55 (56.74)	4 (2.26)	59
36	29 (28.85)	1 (1.15)	30
37	45 (45.2)	2 (1.8)	47
38	48 (47.12)	1 (1.88)	49
39	26 (25.97)	1 (1.03)	27
40	62 (62.51)	3 (2.49)	65
41	19 (18.27)	0 (0.73)	19
42	35 (34.62)	1 (1.38)	36
43	39 (39.43)	2 (1.57)	41
44	78 (75.01)	0 (2.99)	78
45	14 (13.46)	0 (0.54)	14
47	1 (0.96)	0 (0.04)	1
48	3 (2.89)	0 (0.11)	3
50	1 (0.96)	0 (0.04)	1
54	1 (0.96)	0 (0.04)	1
56	1 (1.92)	1 (0.08)	2
[unknown]	21 (25.97)	6 (1.03)	27
total	1982	79	2061

chi square wasn't calculated because 45 expected values were less than 5

Attendance at the 1884 Survivor's Association Meeting, by end rank (commissioned officer or not)

	attended	did not attend	total
did not end as commissioned officer	22 (31.74)	1960 (1950.26)	1982
ended as commissioned officer	11 (1.26)	68 (77.74)	79
total	33	2028	2061

chi square wasn't calculated because 1 expected values were less than 5

Whether born in the US, by end rank (commissioned officer or not)

	US	not US	total
did not end as commissioned officer	1073 (1069.38)	909 (912.62)	1982
ended as commissioned officer	39 (42.62)	40 (36.38)	79
total	1112	949	2061

values in parentheses are expected values
degrees of freedom: 1
chi-square: 0.69
p > 0.25
Cramer's V: 0.02

Whether born in the US (regimental records supplemented by other information), by end rank (commissioned officer or not)

	born in US	not born in US	total
did not end as commissioned officer	1219 (1238.63)	763 (743.37)	1982
ended as commissioned officer	69 (49.37)	10 (29.63)	79
total	1288	773	2061

values in parentheses are expected values
degrees of freedom: 1
chi-square: 21.64
p < 5.0E-4
Cramer's V: 0.1

1860 occupation class, by end rank (commissioned officer or not) (limited to people I've found in the 1860 census)

	did not end as commissioned officer	ended as commissioned officer	total
Artisans	148 (151.19)	15 (11.81)	163
Manual laborers	133 (126.14)	3 (9.86)	136
Not in labor force	1 (0.93)	0 (0.07)	1
Professionals and large proprietors	13 (16.7)	5 (1.3)	18
Semi-professionals and smaller proprietors	83 (87.19)	11 (6.81)	94
Service and semi-skilled workers	30 (29.68)	2 (2.32)	32
[unknown]	152 (148.41)	8 (11.59)	160
unknown class	16 (15.77)	1 (1.23)	17
total	576	45	621

chi square wasn't calculated because 5 expected values were less than 5

1860 HISCO major occupation class, by end rank (commissioned officer or not) (limited to people I've found in the 1860 census)

	did not end as commissioned officer	ended as commissioned officer	total
[unknown]	160 (156.75)	9 (12.25)	169
agricultural, animal husbandry and forestry workers, fisherman, and hunters	98 (93.68)	3 (7.32)	101
clerical and related workers	11 (13.91)	4 (1.09)	15
not in work force	1 (0.93)	0 (0.07)	1
production and related workers, transport equipment operators, and laborers	276 (277.33)	23 (21.67)	299
professional, technical, and related workers	4 (3.71)	0 (0.29)	4
sales workers	16 (20.41)	6 (1.59)	22
service workers	10 (9.28)	0 (0.72)	10
total	576	45	621

chi square wasn't calculated because 7 expected values were less than 5

Whether he died while in the regiment, by end rank (commissioned officer or not)

	did not die while in regiment	died while in regiment	total
did not end as commissioned officer	1801 (1799.28)	181 (182.72)	1982
ended as commissioned officer	70 (71.72)	9 (7.28)	79
total	1871	190	2061

values in parentheses are expected values
degrees of freedom: 1
chi-square: 0.47
p > 0.25
Cramer's V: 0.02

Reason for leaving the regiment, by end rank (commissioned officer or not)

	did not end as commissioned officer	ended as commissioned officer	total
[unknown]	26 (25.0)	0 (1.0)	26
deserted	296 (284.65)	0 (11.35)	296
died (accidentally killed)	7 (6.73)	0 (0.27)	7
died (by committing suicide)	3 (2.89)	0 (0.11)	3
died (by drowning)	3 (2.89)	0 (0.11)	3
died (in Confederate prison)	6 (5.77)	0 (0.23)	6
died (killed in action)	62 (61.55)	2 (2.45)	64
died (of battle wounds)	44 (47.12)	5 (1.88)	49
died (of illness)	51 (50.01)	1 (1.99)	52
died (probably of illness)	5 (5.77)	1 (0.23)	6
disappears from records without explanation	1 (0.96)	0 (0.04)	1
enlisted but not on other records	37 (35.58)	0 (1.42)	37
rejected by Board of Medical Examiners	1 (0.96)	0 (0.04)	1
unknown	5 (4.81)	0 (0.19)	5
was absent on detached duty when the regiment mustered out	4 (3.85)	0 (0.15)	4
was absent on furlough when the regiment mustered out	7 (7.69)	1 (0.31)	8
was absent when the regiment mustered out	85 (81.74)	0 (3.26)	85
was absent without leave when the regiment mustered out	2 (1.92)	0 (0.08)	2
was cashiered	0 (2.89)	3 (0.11)	3
was discharged	10 (9.62)	0 (0.38)	10
was discharged because overage	1 (0.96)	0 (0.04)	1
was discharged because underage	14 (13.46)	0 (0.54)	14
was discharged by general order	156 (152.91)	3 (6.09)	159
was discharged by habeas corpus	7 (6.73)	0 (0.27)	7
was discharged by special order	23 (25.0)	3 (1.0)	26
was discharged on surgeon's certificate of disability	324 (326.97)	16 (13.03)	340
was discharged to be promoted	3 (3.85)	1 (0.15)	4
was discharged when his term expired	64 (69.24)	8 (2.76)	72
was dishonorably discharged by general court martial	5 (4.81)	0 (0.19)	5
was dismissed	2 (2.89)	1 (0.11)	3
was dropped from rolls	1 (0.96)	0 (0.04)	1
was missing in action	5 (4.81)	0 (0.19)	5
was mustered out	3 (2.89)	0 (0.11)	3
was mustered out with the regiment	629 (628.93)	25 (25.07)	654
was resigned	0 (7.69)	8 (0.31)	8
was transferred	28 (27.89)	1 (1.11)	29
was transferred to the Veterans' Reserve Corps	62 (59.62)	0 (2.38)	62
total	1982	79	2061

chi square wasn't calculated because 48 expected values were less than 5

Occupation class at enlistment, by end rank (commissioned officer or not)

	did not end as commissioned officer	ended as commissioned officer	total
Artisans	414 (411.59)	14 (16.41)	428
Manual laborers	415 (400.05)	1 (15.95)	416
Not in labor force	4 (3.85)	0 (0.15)	4
Professionals and large proprietors	15 (15.39)	1 (0.61)	16
Semi-professionals and smaller proprietors	373 (366.4)	8 (14.6)	381
Service and semi-skilled workers	104 (102.9)	3 (4.1)	107
[unknown]	600 (623.16)	48 (24.84)	648
unknown class	57 (58.66)	4 (2.34)	61
total	1982	79	2061

chi square wasn't calculated because 5 expected values were less than 5

HISCO major occupation class at enlistment, by end rank (commissioned officer or not)

	did not end as commissioned officer	ended as commissioned officer	total
[unknown]	614 (637.59)	49 (25.41)	663
administrative and managerial workers	1 (0.96)	0 (0.04)	1
agricultural, animal husbandry and forestry workers, fisherman, and hunters	205 (199.07)	2 (7.93)	207
clerical and related workers	82 (80.78)	2 (3.22)	84
not in work force	4 (3.85)	0 (0.15)	4
production and related workers, transport equipment operators, and laborers	1016 (1001.1)	25 (39.9)	1041
professional, technical, and related workers	10 (9.62)	0 (0.38)	10
sales workers	34 (33.66)	1 (1.34)	35
service workers	16 (15.39)	0 (0.61)	16
total	1982	79	2061

chi square wasn't calculated because 8 expected values were less than 5

Whether anyone applied for a pension, by end rank (commissioned officer or not)

	did not end as commissioned officer	ended as commissioned officer	total
[unknown]	20 (19.23)	0 (0.77)	20
applied for pension	1172 (1187.66)	63 (47.34)	1235
did not apply for pension	790 (775.11)	16 (30.89)	806
total	1982	79	2061

values in parentheses are expected values
degrees of freedom: 2
chi-square: 13.65
p < 0.0025
Cramer's V: 0.08

Whether anyone received a pension, by end rank (commissioned officer or not)

	did not end as commissioned officer	ended as commissioned officer	total
[unknown]	20 (19.23)	0 (0.77)	20
did not receive pension	903 (888.58)	21 (35.42)	924
received pension	1059 (1074.18)	58 (42.82)	1117
total	1982	79	2061

values in parentheses are expected values
degrees of freedom: 2
chi-square: 12.5
p < 0.0025
Cramer's V: 0.08

Time in regiment, by end rank (commissioned officer or not)

	did not end as commissioned officer	ended as commissioned officer	total
0	86 (82.7)	0 (3.3)	86
1	7 (6.73)	0 (0.27)	7
2	8 (7.69)	0 (0.31)	8
3	3 (2.89)	0 (0.11)	3
4	6 (5.77)	0 (0.23)	6
5	5 (4.81)	0 (0.19)	5
6	2 (1.92)	0 (0.08)	2
7	4 (3.85)	0 (0.15)	4
8	3 (2.89)	0 (0.11)	3
10	2 (1.92)	0 (0.08)	2
11	2 (1.92)	0 (0.08)	2
12	1 (0.96)	0 (0.04)	1
13	1 (0.96)	0 (0.04)	1
14	1 (0.96)	0 (0.04)	1
15	1 (0.96)	0 (0.04)	1
16	1 (0.96)	0 (0.04)	1
18	1 (0.96)	0 (0.04)	1
19	3 (2.89)	0 (0.11)	3
20	2 (1.92)	0 (0.08)	2
21	6 (5.77)	0 (0.23)	6
22	1 (0.96)	0 (0.04)	1
23	2 (1.92)	0 (0.08)	2
24	2 (1.92)	0 (0.08)	2
25	3 (2.89)	0 (0.11)	3
27	3 (2.89)	0 (0.11)	3
28	2 (1.92)	0 (0.08)	2
29	1 (0.96)	0 (0.04)	1
30	2 (1.92)	0 (0.08)	2
31	2 (1.92)	0 (0.08)	2
32	2 (1.92)	0 (0.08)	2
33	2 (1.92)	0 (0.08)	2
35	1 (0.96)	0 (0.04)	1
36	4 (3.85)	0 (0.15)	4
38	3 (2.89)	0 (0.11)	3
39	1 (0.96)	0 (0.04)	1
40	2 (1.92)	0 (0.08)	2
41	3 (2.89)	0 (0.11)	3
42	2 (1.92)	0 (0.08)	2
43	1 (0.96)	0 (0.04)	1
44	4 (3.85)	0 (0.15)	4
45	2 (1.92)	0 (0.08)	2
46	1 (0.96)	0 (0.04)	1
47	2 (1.92)	0 (0.08)	2
48	1 (0.96)	0 (0.04)	1
50	1 (0.96)	0 (0.04)	1
51	1 (0.96)	0 (0.04)	1
53	1 (0.96)	0 (0.04)	1
54	6 (5.77)	0 (0.23)	6
55	2 (1.92)	0 (0.08)	2
56	1 (0.96)	0 (0.04)	1
57	3 (2.89)	0 (0.11)	3
59	1 (0.96)	0 (0.04)	1
60	7 (6.73)	0 (0.27)	7
61	2 (1.92)	0 (0.08)	2
62	1 (0.96)	0 (0.04)	1
63	3 (2.89)	0 (0.11)	3
64	2 (1.92)	0 (0.08)	2
65	3 (2.89)	0 (0.11)	3
66	3 (2.89)	0 (0.11)	3
67	1 (0.96)	0 (0.04)	1
68	1 (0.96)	0 (0.04)	1
70	1 (0.96)	0 (0.04)	1
71	1 (0.96)	0 (0.04)	1
72	1 (0.96)	0 (0.04)	1
73	3 (2.89)	0 (0.11)	3
76	1 (0.96)	0 (0.04)	1
77	1 (0.96)	0 (0.04)	1
78	1 (0.96)	0 (0.04)	1
80	2 (1.92)	0 (0.08)	2
81	1 (0.96)	0 (0.04)	1
82	2 (1.92)	0 (0.08)	2
83	1 (0.96)	0 (0.04)	1
85	2 (1.92)	0 (0.08)	2
86	2 (1.92)	0 (0.08)	2
87	3 (2.89)	0 (0.11)	3
88	7 (6.73)	0 (0.27)	7
89	5 (4.81)	0 (0.19)	5
90	3 (2.89)	0 (0.11)	3
91	3 (2.89)	0 (0.11)	3
92	1 (0.96)	0 (0.04)	1
93	2 (1.92)	0 (0.08)	2
94	4 (3.85)	0 (0.15)	4
95	4 (3.85)	0 (0.15)	4
96	1 (0.96)	0 (0.04)	1
97	2 (1.92)	0 (0.08)	2
98	1 (0.96)	0 (0.04)	1
100	2 (2.89)	1 (0.11)	3
101	1 (0.96)	0 (0.04)	1
102	5 (4.81)	0 (0.19)	5
103	10 (9.62)	0 (0.38)	10
104	23 (23.08)	1 (0.92)	24
105	19 (18.27)	0 (0.73)	19
106	4 (3.85)	0 (0.15)	4
107	11 (10.58)	0 (0.42)	11
108	28 (26.93)	0 (1.07)	28
109	27 (25.97)	0 (1.03)	27
110	20 (19.23)	0 (0.77)	20
111	16 (15.39)	0 (0.61)	16
112	11 (10.58)	0 (0.42)	11
113	5 (4.81)	0 (0.19)	5
114	9 (8.66)	0 (0.34)	9
115	7 (6.73)	0 (0.27)	7
116	20 (19.23)	0 (0.77)	20
117	23 (22.12)	0 (0.88)	23
118	4 (3.85)	0 (0.15)	4
119	6 (5.77)	0 (0.23)	6
121	19 (18.27)	0 (0.73)	19
122	4 (3.85)	0 (0.15)	4
123	3 (2.89)	0 (0.11)	3
124	5 (4.81)	0 (0.19)	5
125	4 (3.85)	0 (0.15)	4
126	5 (4.81)	0 (0.19)	5
127	3 (2.89)	0 (0.11)	3
128	2 (1.92)	0 (0.08)	2
129	1 (0.96)	0 (0.04)	1
130	21 (20.2)	0 (0.8)	21
131	1 (0.96)	0 (0.04)	1
132	48 (46.16)	0 (1.84)	48
133	5 (4.81)	0 (0.19)	5
134	1 (0.96)	0 (0.04)	1
135	3 (2.89)	0 (0.11)	3
136	3 (2.89)	0 (0.11)	3
137	1 (0.96)	0 (0.04)	1
138	3 (2.89)	0 (0.11)	3
139	1 (0.96)	0 (0.04)	1
141	1 (0.96)	0 (0.04)	1
142	1 (0.96)	0 (0.04)	1
143	2 (1.92)	0 (0.08)	2
144	3 (2.89)	0 (0.11)	3
145	3 (2.89)	0 (0.11)	3
146	1 (0.96)	0 (0.04)	1
147	4 (3.85)	0 (0.15)	4
149	6 (5.77)	0 (0.23)	6
150	2 (1.92)	0 (0.08)	2
151	2 (1.92)	0 (0.08)	2
152	2 (1.92)	0 (0.08)	2
153	1 (0.96)	0 (0.04)	1
154	2 (1.92)	0 (0.08)	2
156	1 (0.96)	0 (0.04)	1
157	1 (0.96)	0 (0.04)	1
158	2 (1.92)	0 (0.08)	2
159	1 (0.96)	0 (0.04)	1
160	3 (2.89)	0 (0.11)	3
161	3 (2.89)	0 (0.11)	3
162	3 (2.89)	0 (0.11)	3
163	1 (0.96)	0 (0.04)	1
165	3 (2.89)	0 (0.11)	3
166	1 (0.96)	0 (0.04)	1
167	1 (0.96)	0 (0.04)	1
170	2 (1.92)	0 (0.08)	2
171	2 (1.92)	0 (0.08)	2
172	4 (3.85)	0 (0.15)	4
173	2 (1.92)	0 (0.08)	2
174	2 (1.92)	0 (0.08)	2
175	4 (3.85)	0 (0.15)	4
176	1 (0.96)	0 (0.04)	1
177	1 (0.96)	0 (0.04)	1
178	2 (1.92)	0 (0.08)	2
179	2 (1.92)	0 (0.08)	2
180	3 (2.89)	0 (0.11)	3
182	3 (2.89)	0 (0.11)	3
183	3 (2.89)	0 (0.11)	3
186	2 (1.92)	0 (0.08)	2
187	1 (0.96)	0 (0.04)	1
188	2 (1.92)	0 (0.08)	2
190	1 (0.96)	0 (0.04)	1
191	3 (2.89)	0 (0.11)	3
193	1 (0.96)	0 (0.04)	1
195	1 (0.96)	0 (0.04)	1
196	4 (3.85)	0 (0.15)	4
197	1 (0.96)	0 (0.04)	1
198	1 (0.96)	0 (0.04)	1
199	1 (0.96)	0 (0.04)	1
201	1 (0.96)	0 (0.04)	1
202	1 (0.96)	0 (0.04)	1
203	1 (0.96)	0 (0.04)	1
205	1 (0.96)	0 (0.04)	1
208	3 (2.89)	0 (0.11)	3
209	1 (0.96)	0 (0.04)	1
210	1 (0.96)	0 (0.04)	1
211	1 (0.96)	0 (0.04)	1
212	3 (2.89)	0 (0.11)	3
214	3 (2.89)	0 (0.11)	3
215	1 (0.96)	0 (0.04)	1
216	1 (0.96)	0 (0.04)	1
218	3 (2.89)	0 (0.11)	3
219	1 (0.96)	0 (0.04)	1
222	2 (1.92)	0 (0.08)	2
223	2 (1.92)	0 (0.08)	2
226	3 (2.89)	0 (0.11)	3
230	4 (3.85)	0 (0.15)	4
231	1 (0.96)	0 (0.04)	1
232	1 (0.96)	0 (0.04)	1
233	3 (2.89)	0 (0.11)	3
234	2 (1.92)	0 (0.08)	2
236	1 (0.96)	0 (0.04)	1
237	1 (0.96)	0 (0.04)	1
238	2 (1.92)	0 (0.08)	2
239	1 (0.96)	0 (0.04)	1
240	1 (0.96)	0 (0.04)	1
241	3 (2.89)	0 (0.11)	3
242	2 (1.92)	0 (0.08)	2
244	2 (1.92)	0 (0.08)	2
245	2 (1.92)	0 (0.08)	2
246	13 (13.46)	1 (0.54)	14
247	2 (2.89)	1 (0.11)	3
248	2 (1.92)	0 (0.08)	2
249	1 (0.96)	0 (0.04)	1
250	3 (2.89)	0 (0.11)	3
251	5 (4.81)	0 (0.19)	5
252	13 (13.46)	1 (0.54)	14
253	19 (18.27)	0 (0.73)	19
254	1 (1.92)	1 (0.08)	2
255	1 (0.96)	0 (0.04)	1
256	5 (4.81)	0 (0.19)	5
257	1 (0.96)	0 (0.04)	1
258	1 (0.96)	0 (0.04)	1
260	2 (1.92)	0 (0.08)	2
261	1 (0.96)	0 (0.04)	1
263	1 (0.96)	0 (0.04)	1
264	2 (1.92)	0 (0.08)	2
265	1 (0.96)	0 (0.04)	1
266	1 (0.96)	0 (0.04)	1
267	4 (3.85)	0 (0.15)	4
271	1 (0.96)	0 (0.04)	1
272	2 (1.92)	0 (0.08)	2
273	2 (1.92)	0 (0.08)	2
274	3 (2.89)	0 (0.11)	3
275	9 (8.66)	0 (0.34)	9
276	12 (11.54)	0 (0.46)	12
277	3 (2.89)	0 (0.11)	3
278	5 (4.81)	0 (0.19)	5
279	2 (1.92)	0 (0.08)	2
280	2 (1.92)	0 (0.08)	2
281	1 (0.96)	0 (0.04)	1
282	1 (0.96)	0 (0.04)	1
285	3 (2.89)	0 (0.11)	3
286	1 (0.96)	0 (0.04)	1
291	2 (1.92)	0 (0.08)	2
292	1 (0.96)	0 (0.04)	1
294	2 (1.92)	0 (0.08)	2
295	2 (1.92)	0 (0.08)	2
299	2 (1.92)	0 (0.08)	2
302	2 (1.92)	0 (0.08)	2
304	1 (0.96)	0 (0.04)	1
305	1 (0.96)	0 (0.04)	1
307	2 (1.92)	0 (0.08)	2
309	4 (3.85)	0 (0.15)	4
310	2 (1.92)	0 (0.08)	2
311	2 (1.92)	0 (0.08)	2
313	1 (0.96)	0 (0.04)	1
315	1 (0.96)	0 (0.04)	1
317	2 (1.92)	0 (0.08)	2
318	1 (0.96)	0 (0.04)	1
320	1 (0.96)	0 (0.04)	1
323	1 (0.96)	0 (0.04)	1
324	1 (0.96)	0 (0.04)	1
325	1 (0.96)	0 (0.04)	1
327	1 (0.96)	0 (0.04)	1
328	0 (0.96)	1 (0.04)	1
329	4 (3.85)	0 (0.15)	4
330	2 (1.92)	0 (0.08)	2
332	2 (1.92)	0 (0.08)	2
333	2 (1.92)	0 (0.08)	2
335	1 (0.96)	0 (0.04)	1
338	3 (2.89)	0 (0.11)	3
339	1 (0.96)	0 (0.04)	1
343	1 (0.96)	0 (0.04)	1
345	1 (0.96)	0 (0.04)	1
346	2 (1.92)	0 (0.08)	2
348	2 (1.92)	0 (0.08)	2
350	1 (0.96)	0 (0.04)	1
353	1 (0.96)	0 (0.04)	1
354	1 (0.96)	0 (0.04)	1
358	1 (0.96)	0 (0.04)	1
360	1 (0.96)	0 (0.04)	1
361	1 (0.96)	0 (0.04)	1
365	1 (0.96)	0 (0.04)	1
366	1 (0.96)	0 (0.04)	1
367	1 (0.96)	0 (0.04)	1
368	1 (0.96)	0 (0.04)	1
372	1 (0.96)	0 (0.04)	1
375	1 (0.96)	0 (0.04)	1
378	1 (0.96)	0 (0.04)	1
380	1 (1.92)	1 (0.08)	2
381	2 (1.92)	0 (0.08)	2
382	4 (3.85)	0 (0.15)	4
383	1 (0.96)	0 (0.04)	1
386	1 (0.96)	0 (0.04)	1
389	2 (1.92)	0 (0.08)	2
391	0 (0.96)	1 (0.04)	1
392	1 (0.96)	0 (0.04)	1
393	1 (0.96)	0 (0.04)	1
398	1 (0.96)	0 (0.04)	1
399	1 (0.96)	0 (0.04)	1
401	1 (1.92)	1 (0.08)	2
402	4 (4.81)	1 (0.19)	5
403	2 (1.92)	0 (0.08)	2
404	2 (1.92)	0 (0.08)	2
405	1 (0.96)	0 (0.04)	1
407	1 (0.96)	0 (0.04)	1
410	2 (1.92)	0 (0.08)	2
411	1 (0.96)	0 (0.04)	1
413	3 (2.89)	0 (0.11)	3
414	1 (0.96)	0 (0.04)	1
415	1 (0.96)	0 (0.04)	1
417	1 (0.96)	0 (0.04)	1
419	1 (0.96)	0 (0.04)	1
420	1 (1.92)	1 (0.08)	2
421	2 (1.92)	0 (0.08)	2
422	1 (0.96)	0 (0.04)	1
423	1 (0.96)	0 (0.04)	1
425	1 (0.96)	0 (0.04)	1
427	1 (0.96)	0 (0.04)	1
428	4 (3.85)	0 (0.15)	4
429	1 (0.96)	0 (0.04)	1
432	1 (0.96)	0 (0.04)	1
433	1 (0.96)	0 (0.04)	1
434	1 (0.96)	0 (0.04)	1
435	1 (0.96)	0 (0.04)	1
436	2 (1.92)	0 (0.08)	2
437	2 (1.92)	0 (0.08)	2
438	1 (0.96)	0 (0.04)	1
439	2 (1.92)	0 (0.08)	2
441	1 (0.96)	0 (0.04)	1
442	1 (0.96)	0 (0.04)	1
443	1 (0.96)	0 (0.04)	1
444	2 (1.92)	0 (0.08)	2
447	2 (1.92)	0 (0.08)	2
448	1 (0.96)	0 (0.04)	1
449	1 (0.96)	0 (0.04)	1
451	1 (0.96)	0 (0.04)	1
452	3 (3.85)	1 (0.15)	4
453	2 (1.92)	0 (0.08)	2
455	1 (0.96)	0 (0.04)	1
456	3 (2.89)	0 (0.11)	3
457	1 (0.96)	0 (0.04)	1
458	3 (2.89)	0 (0.11)	3
459	3 (2.89)	0 (0.11)	3
462	1 (0.96)	0 (0.04)	1
464	1 (0.96)	0 (0.04)	1
465	2 (1.92)	0 (0.08)	2
466	1 (0.96)	0 (0.04)	1
467	1 (0.96)	0 (0.04)	1
468	1 (0.96)	0 (0.04)	1
469	1 (0.96)	0 (0.04)	1
470	1 (0.96)	0 (0.04)	1
471	2 (1.92)	0 (0.08)	2
472	3 (2.89)	0 (0.11)	3
475	5 (5.77)	1 (0.23)	6
477	1 (1.92)	1 (0.08)	2
478	2 (1.92)	0 (0.08)	2
479	2 (1.92)	0 (0.08)	2
480	1 (0.96)	0 (0.04)	1
481	1 (0.96)	0 (0.04)	1
482	2 (1.92)	0 (0.08)	2
483	2 (1.92)	0 (0.08)	2
484	1 (0.96)	0 (0.04)	1
485	1 (0.96)	0 (0.04)	1
486	3 (2.89)	0 (0.11)	3
487	2 (1.92)	0 (0.08)	2
489	2 (2.89)	1 (0.11)	3
490	2 (1.92)	0 (0.08)	2
491	1 (0.96)	0 (0.04)	1
493	2 (1.92)	0 (0.08)	2
494	2 (1.92)	0 (0.08)	2
496	3 (2.89)	0 (0.11)	3
497	1 (0.96)	0 (0.04)	1
498	1 (1.92)	1 (0.08)	2
499	2 (2.89)	1 (0.11)	3
500	3 (2.89)	0 (0.11)	3
501	2 (1.92)	0 (0.08)	2
502	3 (2.89)	0 (0.11)	3
503	3 (2.89)	0 (0.11)	3
506	3 (2.89)	0 (0.11)	3
507	3 (2.89)	0 (0.11)	3
508	2 (1.92)	0 (0.08)	2
510	3 (2.89)	0 (0.11)	3
511	4 (3.85)	0 (0.15)	4
512	3 (2.89)	0 (0.11)	3
513	4 (4.81)	1 (0.19)	5
514	1 (0.96)	0 (0.04)	1
515	1 (0.96)	0 (0.04)	1
516	1 (0.96)	0 (0.04)	1
517	6 (5.77)	0 (0.23)	6
518	4 (4.81)	1 (0.19)	5
520	3 (2.89)	0 (0.11)	3
521	2 (1.92)	0 (0.08)	2
522	5 (4.81)	0 (0.19)	5
523	5 (4.81)	0 (0.19)	5
524	6 (5.77)	0 (0.23)	6
525	2 (1.92)	0 (0.08)	2
526	1 (0.96)	0 (0.04)	1
527	1 (0.96)	0 (0.04)	1
528	1 (1.92)	1 (0.08)	2
529	5 (4.81)	0 (0.19)	5
530	7 (6.73)	0 (0.27)	7
531	8 (8.66)	1 (0.34)	9
535	1 (0.96)	0 (0.04)	1
536	7 (6.73)	0 (0.27)	7
537	4 (3.85)	0 (0.15)	4
538	1 (1.92)	1 (0.08)	2
540	2 (1.92)	0 (0.08)	2
541	3 (2.89)	0 (0.11)	3
543	3 (2.89)	0 (0.11)	3
544	2 (1.92)	0 (0.08)	2
545	5 (4.81)	0 (0.19)	5
549	1 (0.96)	0 (0.04)	1
551	1 (0.96)	0 (0.04)	1
552	3 (2.89)	0 (0.11)	3
556	3 (2.89)	0 (0.11)	3
559	2 (1.92)	0 (0.08)	2
560	1 (0.96)	0 (0.04)	1
562	2 (1.92)	0 (0.08)	2
563	1 (0.96)	0 (0.04)	1
565	1 (0.96)	0 (0.04)	1
567	1 (0.96)	0 (0.04)	1
568	0 (0.96)	1 (0.04)	1
571	1 (0.96)	0 (0.04)	1
572	2 (1.92)	0 (0.08)	2
573	1 (0.96)	0 (0.04)	1
577	1 (0.96)	0 (0.04)	1
579	2 (1.92)	0 (0.08)	2
581	2 (2.89)	1 (0.11)	3
582	1 (0.96)	0 (0.04)	1
587	1 (0.96)	0 (0.04)	1
588	1 (0.96)	0 (0.04)	1
589	2 (1.92)	0 (0.08)	2
590	2 (1.92)	0 (0.08)	2
592	1 (0.96)	0 (0.04)	1
593	2 (1.92)	0 (0.08)	2
594	1 (0.96)	0 (0.04)	1
595	1 (0.96)	0 (0.04)	1
596	3 (2.89)	0 (0.11)	3
597	0 (0.96)	1 (0.04)	1
598	2 (1.92)	0 (0.08)	2
599	1 (0.96)	0 (0.04)	1
600	1 (0.96)	0 (0.04)	1
603	3 (2.89)	0 (0.11)	3
604	1 (0.96)	0 (0.04)	1
605	1 (0.96)	0 (0.04)	1
606	2 (1.92)	0 (0.08)	2
608	1 (0.96)	0 (0.04)	1
611	1 (0.96)	0 (0.04)	1
614	2 (1.92)	0 (0.08)	2
621	2 (1.92)	0 (0.08)	2
627	1 (0.96)	0 (0.04)	1
629	1 (0.96)	0 (0.04)	1
630	1 (0.96)	0 (0.04)	1
631	2 (1.92)	0 (0.08)	2
634	2 (1.92)	0 (0.08)	2
635	1 (0.96)	0 (0.04)	1
637	1 (0.96)	0 (0.04)	1
641	2 (1.92)	0 (0.08)	2
643	0 (0.96)	1 (0.04)	1
647	1 (0.96)	0 (0.04)	1
648	1 (0.96)	0 (0.04)	1
649	1 (0.96)	0 (0.04)	1
650	1 (0.96)	0 (0.04)	1
651	2 (1.92)	0 (0.08)	2
652	1 (0.96)	0 (0.04)	1
653	1 (0.96)	0 (0.04)	1
654	1 (0.96)	0 (0.04)	1
655	4 (3.85)	0 (0.15)	4
659	1 (0.96)	0 (0.04)	1
662	1 (0.96)	0 (0.04)	1
664	1 (0.96)	0 (0.04)	1
665	1 (0.96)	0 (0.04)	1
666	1 (0.96)	0 (0.04)	1
667	1 (0.96)	0 (0.04)	1
668	1 (0.96)	0 (0.04)	1
669	6 (5.77)	0 (0.23)	6
670	6 (5.77)	0 (0.23)	6
672	2 (1.92)	0 (0.08)	2
674	1 (0.96)	0 (0.04)	1
679	2 (1.92)	0 (0.08)	2
680	1 (0.96)	0 (0.04)	1
682	1 (0.96)	0 (0.04)	1
683	4 (3.85)	0 (0.15)	4
684	1 (0.96)	0 (0.04)	1
685	1 (0.96)	0 (0.04)	1
687	1 (0.96)	0 (0.04)	1
688	1 (0.96)	0 (0.04)	1
692	1 (0.96)	0 (0.04)	1
695	1 (0.96)	0 (0.04)	1
696	1 (0.96)	0 (0.04)	1
697	0 (0.96)	1 (0.04)	1
698	2 (1.92)	0 (0.08)	2
700	1 (0.96)	0 (0.04)	1
703	2 (1.92)	0 (0.08)	2
708	1 (0.96)	0 (0.04)	1
709	7 (6.73)	0 (0.27)	7
711	3 (2.89)	0 (0.11)	3
712	1 (0.96)	0 (0.04)	1
713	2 (1.92)	0 (0.08)	2
715	1 (0.96)	0 (0.04)	1
717	6 (5.77)	0 (0.23)	6
718	1 (0.96)	0 (0.04)	1
719	2 (1.92)	0 (0.08)	2
721	5 (4.81)	0 (0.19)	5
722	1 (0.96)	0 (0.04)	1
723	5 (4.81)	0 (0.19)	5
724	9 (8.66)	0 (0.34)	9
725	3 (2.89)	0 (0.11)	3
726	8 (7.69)	0 (0.31)	8
727	1 (0.96)	0 (0.04)	1
728	5 (4.81)	0 (0.19)	5
730	1 (0.96)	0 (0.04)	1
731	8 (7.69)	0 (0.31)	8
733	1 (0.96)	0 (0.04)	1
734	1 (0.96)	0 (0.04)	1
737	1 (0.96)	0 (0.04)	1
742	1 (0.96)	0 (0.04)	1
744	1 (0.96)	0 (0.04)	1
745	1 (0.96)	0 (0.04)	1
750	1 (0.96)	0 (0.04)	1
751	3 (2.89)	0 (0.11)	3
759	1 (0.96)	0 (0.04)	1
760	1 (0.96)	0 (0.04)	1
765	1 (0.96)	0 (0.04)	1
766	1 (0.96)	0 (0.04)	1
773	1 (0.96)	0 (0.04)	1
777	1 (0.96)	0 (0.04)	1
789	1 (0.96)	0 (0.04)	1
794	2 (1.92)	0 (0.08)	2
800	1 (1.92)	1 (0.08)	2
802	1 (0.96)	0 (0.04)	1
806	2 (1.92)	0 (0.08)	2
812	1 (0.96)	0 (0.04)	1
818	1 (0.96)	0 (0.04)	1
823	1 (1.92)	1 (0.08)	2
826	1 (0.96)	0 (0.04)	1
832	0 (0.96)	1 (0.04)	1
836	1 (0.96)	0 (0.04)	1
847	2 (1.92)	0 (0.08)	2
849	1 (0.96)	0 (0.04)	1
850	1 (0.96)	0 (0.04)	1
852	1 (0.96)	0 (0.04)	1
853	1 (0.96)	0 (0.04)	1
857	1 (0.96)	0 (0.04)	1
861	1 (0.96)	0 (0.04)	1
867	1 (0.96)	0 (0.04)	1
874	1 (0.96)	0 (0.04)	1
875	1 (0.96)	0 (0.04)	1
877	1 (0.96)	0 (0.04)	1
879	1 (0.96)	0 (0.04)	1
880	1 (0.96)	0 (0.04)	1
881	1 (0.96)	0 (0.04)	1
888	1 (0.96)	0 (0.04)	1
890	2 (1.92)	0 (0.08)	2
895	1 (0.96)	0 (0.04)	1
896	1 (0.96)	0 (0.04)	1
900	1 (0.96)	0 (0.04)	1
904	1 (0.96)	0 (0.04)	1
906	1 (0.96)	0 (0.04)	1
908	1 (0.96)	0 (0.04)	1
915	1 (0.96)	0 (0.04)	1
920	1 (0.96)	0 (0.04)	1
928	1 (0.96)	0 (0.04)	1
932	1 (1.92)	1 (0.08)	2
933	2 (1.92)	0 (0.08)	2
935	1 (0.96)	0 (0.04)	1
938	1 (0.96)	0 (0.04)	1
942	1 (0.96)	0 (0.04)	1
944	1 (0.96)	0 (0.04)	1
948	1 (0.96)	0 (0.04)	1
949	1 (0.96)	0 (0.04)	1
950	1 (0.96)	0 (0.04)	1
951	1 (0.96)	0 (0.04)	1
952	1 (0.96)	0 (0.04)	1
955	1 (0.96)	0 (0.04)	1
956	1 (0.96)	0 (0.04)	1
964	1 (0.96)	0 (0.04)	1
967	2 (1.92)	0 (0.08)	2
970	1 (0.96)	0 (0.04)	1
973	2 (1.92)	0 (0.08)	2
979	1 (0.96)	0 (0.04)	1
981	1 (0.96)	0 (0.04)	1
982	0 (0.96)	1 (0.04)	1
984	1 (0.96)	0 (0.04)	1
987	3 (2.89)	0 (0.11)	3
990	2 (1.92)	0 (0.08)	2
991	2 (1.92)	0 (0.08)	2
992	1 (0.96)	0 (0.04)	1
1000	1 (0.96)	0 (0.04)	1
1003	2 (1.92)	0 (0.08)	2
1008	2 (2.89)	1 (0.11)	3
1009	1 (0.96)	0 (0.04)	1
1011	1 (0.96)	0 (0.04)	1
1012	1 (0.96)	0 (0.04)	1
1013	2 (1.92)	0 (0.08)	2
1016	2 (1.92)	0 (0.08)	2
1017	2 (1.92)	0 (0.08)	2
1018	2 (1.92)	0 (0.08)	2
1019	1 (0.96)	0 (0.04)	1
1020	1 (0.96)	0 (0.04)	1
1021	0 (0.96)	1 (0.04)	1
1024	1 (0.96)	0 (0.04)	1
1025	2 (1.92)	0 (0.08)	2
1026	2 (1.92)	0 (0.08)	2
1027	2 (1.92)	0 (0.08)	2
1030	1 (0.96)	0 (0.04)	1
1031	1 (0.96)	0 (0.04)	1
1032	2 (1.92)	0 (0.08)	2
1033	1 (0.96)	0 (0.04)	1
1034	1 (0.96)	0 (0.04)	1
1036	1 (0.96)	0 (0.04)	1
1037	0 (0.96)	1 (0.04)	1
1038	2 (1.92)	0 (0.08)	2
1043	1 (0.96)	0 (0.04)	1
1044	1 (0.96)	0 (0.04)	1
1047	1 (0.96)	0 (0.04)	1
1052	2 (1.92)	0 (0.08)	2
1055	1 (0.96)	0 (0.04)	1
1056	1 (0.96)	0 (0.04)	1
1059	2 (1.92)	0 (0.08)	2
1062	1 (0.96)	0 (0.04)	1
1063	3 (2.89)	0 (0.11)	3
1066	1 (1.92)	1 (0.08)	2
1068	1 (1.92)	1 (0.08)	2
1069	2 (1.92)	0 (0.08)	2
1073	1 (0.96)	0 (0.04)	1
1078	1 (0.96)	0 (0.04)	1
1082	1 (0.96)	0 (0.04)	1
1083	1 (0.96)	0 (0.04)	1
1086	1 (1.92)	1 (0.08)	2
1089	1 (0.96)	0 (0.04)	1
1091	1 (0.96)	0 (0.04)	1
1095	0 (0.96)	1 (0.04)	1
1096	12 (14.43)	3 (0.57)	15
1097	1 (0.96)	0 (0.04)	1
1098	1 (0.96)	0 (0.04)	1
1099	0 (0.96)	1 (0.04)	1
1101	3 (2.89)	0 (0.11)	3
1102	2 (1.92)	0 (0.08)	2
1104	1 (0.96)	0 (0.04)	1
1106	1 (0.96)	0 (0.04)	1
1107	1 (0.96)	0 (0.04)	1
1108	6 (5.77)	0 (0.23)	6
1109	1 (1.92)	1 (0.08)	2
1110	1 (0.96)	0 (0.04)	1
1112	1 (0.96)	0 (0.04)	1
1113	2 (1.92)	0 (0.08)	2
1114	4 (3.85)	0 (0.15)	4
1115	1 (1.92)	1 (0.08)	2
1116	3 (2.89)	0 (0.11)	3
1118	1 (0.96)	0 (0.04)	1
1119	2 (1.92)	0 (0.08)	2
1120	1 (0.96)	0 (0.04)	1
1123	3 (2.89)	0 (0.11)	3
1124	1 (0.96)	0 (0.04)	1
1125	1 (1.92)	1 (0.08)	2
1126	1 (0.96)	0 (0.04)	1
1127	3 (2.89)	0 (0.11)	3
1128	0 (0.96)	1 (0.04)	1
1129	1 (0.96)	0 (0.04)	1
1131	1 (0.96)	0 (0.04)	1
1135	1 (0.96)	0 (0.04)	1
1136	2 (1.92)	0 (0.08)	2
1137	0 (0.96)	1 (0.04)	1
1138	1 (0.96)	0 (0.04)	1
1140	2 (1.92)	0 (0.08)	2
1141	1 (0.96)	0 (0.04)	1
1143	1 (0.96)	0 (0.04)	1
1146	1 (1.92)	1 (0.08)	2
1148	1 (0.96)	0 (0.04)	1
1150	1 (0.96)	0 (0.04)	1
1153	1 (0.96)	0 (0.04)	1
1154	1 (0.96)	0 (0.04)	1
1155	1 (0.96)	0 (0.04)	1
1160	1 (0.96)	0 (0.04)	1
1163	1 (0.96)	0 (0.04)	1
1164	1 (0.96)	0 (0.04)	1
1168	1 (0.96)	0 (0.04)	1
1172	1 (0.96)	0 (0.04)	1
1177	0 (0.96)	1 (0.04)	1
1183	0 (0.96)	1 (0.04)	1
1186	1 (0.96)	0 (0.04)	1
1190	1 (0.96)	0 (0.04)	1
1193	1 (0.96)	0 (0.04)	1
1208	1 (0.96)	0 (0.04)	1
1211	1 (0.96)	0 (0.04)	1
1216	0 (0.96)	1 (0.04)	1
1217	1 (0.96)	0 (0.04)	1
1224	1 (0.96)	0 (0.04)	1
1229	1 (0.96)	0 (0.04)	1
1242	1 (0.96)	0 (0.04)	1
1260	1 (0.96)	0 (0.04)	1
1261	2 (1.92)	0 (0.08)	2
1266	2 (1.92)	0 (0.08)	2
1267	1 (0.96)	0 (0.04)	1
1272	1 (0.96)	0 (0.04)	1
1273	0 (0.96)	1 (0.04)	1
1274	2 (1.92)	0 (0.08)	2
1276	2 (1.92)	0 (0.08)	2
1277	1 (0.96)	0 (0.04)	1
1280	1 (0.96)	0 (0.04)	1
1284	1 (0.96)	0 (0.04)	1
1285	2 (1.92)	0 (0.08)	2
1290	1 (0.96)	0 (0.04)	1
1292	0 (0.96)	1 (0.04)	1
1298	1 (0.96)	0 (0.04)	1
1299	1 (0.96)	0 (0.04)	1
1302	1 (0.96)	0 (0.04)	1
1306	1 (0.96)	0 (0.04)	1
1307	1 (0.96)	0 (0.04)	1
1308	2 (1.92)	0 (0.08)	2
1309	1 (0.96)	0 (0.04)	1
1313	1 (0.96)	0 (0.04)	1
1314	2 (2.89)	1 (0.11)	3
1315	0 (0.96)	1 (0.04)	1
1316	1 (2.89)	2 (0.11)	3
1317	2 (1.92)	0 (0.08)	2
1318	1 (0.96)	0 (0.04)	1
1319	2 (1.92)	0 (0.08)	2
1328	3 (2.89)	0 (0.11)	3
1329	1 (0.96)	0 (0.04)	1
1332	2 (1.92)	0 (0.08)	2
1333	1 (0.96)	0 (0.04)	1
1334	3 (2.89)	0 (0.11)	3
1335	1 (1.92)	1 (0.08)	2
1336	2 (1.92)	0 (0.08)	2
1342	3 (2.89)	0 (0.11)	3
1343	1 (0.96)	0 (0.04)	1
1344	2 (2.89)	1 (0.11)	3
1345	1 (0.96)	0 (0.04)	1
1347	1 (0.96)	0 (0.04)	1
1348	1 (0.96)	0 (0.04)	1
1350	1 (0.96)	0 (0.04)	1
1354	4 (4.81)	1 (0.19)	5
1355	1 (0.96)	0 (0.04)	1
1356	3 (2.89)	0 (0.11)	3
1357	0 (0.96)	1 (0.04)	1
1360	4 (3.85)	0 (0.15)	4
1361	2 (1.92)	0 (0.08)	2
1362	2 (1.92)	0 (0.08)	2
1364	1 (1.92)	1 (0.08)	2
1365	2 (1.92)	0 (0.08)	2
1366	2 (1.92)	0 (0.08)	2
1367	1 (0.96)	0 (0.04)	1
1368	2 (1.92)	0 (0.08)	2
1369	2 (1.92)	0 (0.08)	2
1372	4 (4.81)	1 (0.19)	5
1374	1 (0.96)	0 (0.04)	1
1375	2 (1.92)	0 (0.08)	2
1376	2 (1.92)	0 (0.08)	2
1377	1 (0.96)	0 (0.04)	1
1378	2 (1.92)	0 (0.08)	2
1379	4 (3.85)	0 (0.15)	4
1381	1 (0.96)	0 (0.04)	1
1382	1 (1.92)	1 (0.08)	2
1384	3 (3.85)	1 (0.15)	4
1385	5 (6.73)	2 (0.27)	7
1386	6 (5.77)	0 (0.23)	6
1388	1 (0.96)	0 (0.04)	1
1389	1 (0.96)	0 (0.04)	1
1390	3 (2.89)	0 (0.11)	3
1391	4 (3.85)	0 (0.15)	4
1392	1 (0.96)	0 (0.04)	1
1393	9 (8.66)	0 (0.34)	9
1394	1 (0.96)	0 (0.04)	1
1397	1 (1.92)	1 (0.08)	2
1398	2 (3.85)	2 (0.15)	4
1399	1 (1.92)	1 (0.08)	2
1400	3 (2.89)	0 (0.11)	3
1403	1 (1.92)	1 (0.08)	2
1404	1 (0.96)	0 (0.04)	1
1405	1 (0.96)	0 (0.04)	1
1407	3 (2.89)	0 (0.11)	3
1409	1 (0.96)	0 (0.04)	1
1410	4 (3.85)	0 (0.15)	4
1411	2 (1.92)	0 (0.08)	2
1412	1 (0.96)	0 (0.04)	1
1413	2 (2.89)	1 (0.11)	3
1416	2 (1.92)	0 (0.08)	2
1417	7 (6.73)	0 (0.27)	7
1418	2 (1.92)	0 (0.08)	2
1419	4 (3.85)	0 (0.15)	4
1420	16 (18.27)	3 (0.73)	19
1428	1 (0.96)	0 (0.04)	1
1431	5 (4.81)	0 (0.19)	5
1442	1 (0.96)	0 (0.04)	1
1461	1 (0.96)	0 (0.04)	1
1530	0 (0.96)	1 (0.04)	1
1551	1 (0.96)	0 (0.04)	1
[unknown]	86 (82.7)	0 (3.3)	86
total	1982	79	2061

chi square wasn't calculated because 1520 expected values were less than 5

Time in regiment (collapsed), by end rank (commissioned officer or not)

	did not end as commissioned officer	ended as commissioned officer	total
A: 0-9 days	124 (119.25)	0 (4.75)	124
B: 10-399 days	910 (883.77)	9 (35.23)	919
C: 400-799 days	455 (455.83)	19 (18.17)	474
D: 800-1199 days	203 (218.3)	24 (8.7)	227
E: 1200 or more days	204 (222.15)	27 (8.85)	231
[unknown]	86 (82.7)	0 (3.3)	86
total	1982	79	2061

values in parentheses are expected values
degrees of freedom: 5
chi-square: 95.4
p < 5.0E-4
Cramer's V: 0.22

Volunteer/Draftee/Substitute, by end rank (commissioned officer or not)

	did not end as commissioned officer	ended as commissioned officer	total
[unknown]	3 (2.89)	0 (0.11)	3
draftee	314 (301.96)	0 (12.04)	314
substitute	320 (307.73)	0 (12.27)	320
volunteer	1345 (1369.42)	79 (54.58)	1424
total	1982	79	2061

chi square wasn't calculated because 2 expected values were less than 5

Company transfers

no changes in company	1882
B to C	16
F to D	15
H to D	13
D to F	12
G to A	12
D to H	10
K to E	10
H to K	8
G to F	6
I to E	6
K to H	6
A to I	4
A to S	4
B to E	4
C to A	4
D to A	4
K to D	4
A to C	3
A to F	3
B to D	3
B to F	3
B to K	3
D to S	3
E to G	3
K to C	3
K to S	3
A to D	2
C to I	2
D to K	2
E to S	2
F to A	2
F to S	2
I to A	2
K to F	2
? to H	1
A to E	1
A to K	1
B to S	1
C to S	1
E to D	1
E to K	1
G to H	1
G to K	1
G to S	1
H to G	1
I to D	1
I to K	1
K to A	1
K to G	1
S to B	1
S to H	1

Company transfers (alphabetical order)

? to H	1
A to C	3
A to D	2
A to E	1
A to F	3
A to I	4
A to K	1
A to S	4
B to C	16
B to D	3
B to E	4
B to F	3
B to K	3
B to S	1
C to A	4
C to I	2
C to S	1
D to A	4
D to F	12
D to H	10
D to K	2
D to S	3
E to D	1
E to G	3
E to K	1
E to S	2
F to A	2
F to D	15
F to S	2
G to A	12
G to F	6
G to H	1
G to K	1
G to S	1
H to D	13
H to G	1
H to K	8
I to A	2
I to D	1
I to E	6
I to K	1
K to A	1
K to C	3
K to D	4
K to E	10
K to F	2
K to G	1
K to H	6
K to S	3
S to B	1
S to H	1
no changes in company	1882

Number of men in regiment, 1 July 1861

[unknown]	5
no	2055
yes	1

Number of men in regiment, 1 August 1861

[unknown]	5
no	2054
yes	2

Number of men in regiment, 1 September 1861

[unknown]	13
no	1881
yes	167

Number of men in regiment, 1 October 1861

[unknown]	25
no	1608
yes	428

Number of men in regiment, 1 November 1861

[unknown]	46
no	1404
yes	611

Number of men in regiment, 1 December 1861

[unknown]	61
no	1242
yes	758

Number of men in regiment, 1 January 1862

[unknown]	66
no	1183
yes	812

Number of men in regiment, 1 February 1862

[unknown]	67
no	1162
yes	832

Number of men in regiment, 1 March 1862

[unknown]	68
no	1165
yes	828

Number of men in regiment, 1 April 1862

[unknown]	68
no	1184
yes	809

Number of men in regiment, 1 May 1862

[unknown]	69
no	1222
yes	770

Number of men in regiment, 1 June 1862

[unknown]	68
no	1253
yes	740

Number of men in regiment, 1 July 1862

[unknown]	68
no	1274
yes	719

Number of men in regiment, 1 August 1862

[unknown]	68
no	1276
yes	717

Number of men in regiment, 1 September 1862

[unknown]	70
no	1265
yes	726

Number of men in regiment, 1 October 1862

[unknown]	76
no	1246
yes	739

Number of men in regiment, 1 November 1862

[unknown]	76
no	1262
yes	723

Number of men in regiment, 1 December 1862

[unknown]	76
no	1267
yes	718

Number of men in regiment, 1 January 1863

[unknown]	76
no	1306
yes	679

Number of men in regiment, 1 February 1863

[unknown]	77
no	1336
yes	648

Number of men in regiment, 1 March 1863

[unknown]	77
no	1373
yes	611

Number of men in regiment, 1 April 1863

[unknown]	77
no	1393
yes	591

Number of men in regiment, 1 May 1863

[unknown]	77
no	1409
yes	575

Number of men in regiment, 1 June 1863

[unknown]	77
no	1434
yes	550

Number of men in regiment, 1 July 1863

[unknown]	77
no	1447
yes	537

Number of men in regiment, 1 August 1863

[unknown]	79
no	1403
yes	579

Number of men in regiment, 1 September 1863

[unknown]	79
no	1402
yes	580

Number of men in regiment, 1 October 1863

[unknown]	79
no	1396
yes	586

Number of men in regiment, 1 November 1863

[unknown]	79
no	1394
yes	588

Number of men in regiment, 1 December 1863

[unknown]	79
no	1403
yes	579

Number of men in regiment, 1 January 1864

[unknown]	78
no	1411
yes	572

Number of men in regiment, 1 February 1864

[unknown]	79
no	1351
yes	631

Number of men in regiment, 1 March 1864

[unknown]	80
no	1248
yes	733

Number of men in regiment, 1 April 1864

[unknown]	81
no	1244
yes	736

Number of men in regiment, 1 May 1864

[unknown]	81
no	1249
yes	731

Number of men in regiment, 1 June 1864

[unknown]	80
no	1279
yes	702

Number of men in regiment, 1 July 1864

[unknown]	80
no	1314
yes	667

Number of men in regiment, 1 August 1864

[unknown]	80
no	1325
yes	656

Number of men in regiment, 1 September 1864

[unknown]	80
no	1337
yes	644

Number of men in regiment, 1 October 1864

[unknown]	82
no	1301
yes	678

Number of men in regiment, 1 November 1864

[unknown]	82
no	1289
yes	690

Number of men in regiment, 1 December 1864

[unknown]	82
no	1313
yes	666

Number of men in regiment, 1 January 1865

[unknown]	82
no	1338
yes	641

Number of men in regiment, 1 February 1865

[unknown]	83
no	1339
yes	639

Number of men in regiment, 1 March 1865

[unknown]	83
no	1254
yes	724

Number of men in regiment, 1 April 1865

[unknown]	83
no	955
yes	1023

Number of men in regiment, 1 May 1865

[unknown]	83
no	981
yes	997

Number of men in regiment, 1 June 1865

[unknown]	82
no	1051
yes	928

Number of men in regiment, 1 July 1865

[unknown]	82
no	1163
yes	816

Number of men in regiment, 1 August 1865

[unknown]	82
no	1971
yes	8