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%