Various statistics about the men who served in the 91st Pennsylvania Infantry in the US Civil War (1861-1865)

Regimental statistics

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


Index

Age

Attendance at 1884 Survivors' association meeting

Birthplace

Census (generally)

1850 census

1860 census

1870 census

1880 census

1890 census

1900 census

1910 census

1920 census

1930 census

1940 census

Court martials

Deaths (during and after the war)

Desertions

Description

Name

Occupation

Muster in and muster out

Honorable discharge?

Veteran

Volunteer/Drafted/Substitute

Wounded

Pension

Ranks

start rank

end rank

Transfers

Number of men in regiment on various dates


Age when enlisted, in frequency order

1821310.5%
191678.2%
211346.6%
231165.7%
201075.3%
221065.2%
24944.6%
25834.1%
28814.0%
44783.8%
29653.2%
40653.2%
27623.0%
26592.9%
35592.9%
30552.7%
38492.4%
32492.4%
33492.4%
34482.4%
37472.3%
43412.0%
31371.8%
42361.8%
36301.5%
17281.4%
[unknown]27 %
39271.3%
41190.9%
45140.7%
1650.2%
4830.1%
5620.1%
4710.0%
1510.0%
1410.0%
1310.0%
5010.0%
5410.0%

Age when enlisted

1310.0%
1410.0%
1510.0%
1650.2%
17281.4%
1821310.5%
191678.2%
201075.3%
211346.6%
221065.2%
231165.7%
24944.6%
25834.1%
26592.9%
27623.0%
28814.0%
29653.2%
30552.7%
31371.8%
32492.4%
33492.4%
34482.4%
35592.9%
36301.5%
37472.3%
38492.4%
39271.3%
40653.2%
41190.9%
42361.8%
43412.0%
44783.8%
45140.7%
4710.0%
4830.1%
5010.0%
5410.0%
5620.1%
[unknown]27 %

Age when enlisted, summary

based on 2034 instances
minimum13 years
maximum56 years
median25.0 years
mode18: 213 instances
mean27.4 years
standard deviation8.82

Age when enlisted (grouped)

0-1941620.5%
20-2990744.6%
30-3945022.1%
40-26112.8%
[unknown]27 %

Age of volunteers

based on 1400 instances
minimum13 years
maximum56 years
median25.0 years
mode18: 169 instances
mean27.5 years
standard deviation9.35

Age of drafted men

based on 313 instances
minimum18 years
maximum44 years
median29 years
mode24 / 37: 22 instances
mean29.5 years
standard deviation7.08

Age of substitutes

based on 320 instances
minimum16 years
maximum45 years
median23.0 years
mode18: 42 instances
mean24.9 years
standard deviation6.93

Age at enlistment of men who began as commissioned officers

based on 28 instances
minimum19 years
maximum56 years
median29.0 years
mode22: 5 instances
mean30.4 years
standard deviation13.06

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

based on 2006 instances
minimum13 years
maximum56 years
median25.0 years
mode18: 213 instances
mean27.4 years
standard deviation8.75

Age at enlistment of men who ended as commissioned officers

based on 73 instances
minimum18 years
maximum56 years
median25 years
mode22: 8 instances
mean27.1 years
standard deviation10.81

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

attended331.6%
did not attend202898.4%

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, Philadelphia55631.7%
[unknown]308 %
Ireland1659.4%
US, Pennsylvania1538.7%
Germany693.9%
US, Pennsylvania, Bedford502.9%
England392.2%
US, Pennsylvania, Adams301.7%
US, New York181.0%
Scotland171.0%
US, Pennsylvania, Chester160.9%
Canada130.7%
US, Pennsylvania, Montgomery130.7%
US, Pennsylvania, Northumberland, Milton130.7%
US, Pennsylvania, Bucks110.6%
US, Pennsylvania, Lancaster110.6%
Ireland, Derry100.6%
US, Maryland, Baltimore100.6%
US, New York, New York100.6%
France90.5%
Ireland, Dublin90.5%
Ireland, Tyrone90.5%
US, Pennsylvania, Delaware90.5%
Ireland, Donegal80.5%
US, New Jersey80.5%
US, Pennsylvania, Berks80.5%
Switzerland70.4%
US, Maryland70.4%
Ireland, Antrim60.3%
Prussia60.3%
US, Pennsylvania, Northumberland60.3%
England, Lancashire50.3%
US, Massachusetts, Suffolk, Boston50.3%
US, New Jersey, Burlington50.3%
US, Pennsylvania, Dauphin50.3%
US, Pennsylvania, Northampton, Easton50.3%
US, Pennsylvania, York50.3%
England, Manchester40.2%
Ireland, Belfast40.2%
Ireland, County Antrim40.2%
US, Delaware40.2%
US, New Jersey, Salem40.2%
US, Pennsylvania, Armstrong40.2%
US, Pennsylvania, Cambria40.2%
Wales40.2%
Bavaria30.2%
England, London30.2%
Germany, Wurtemburg30.2%
Ireland, Armagh30.2%
Ireland, County Tyrone30.2%
Ireland, Denighal30.2%
Ireland, Derry County30.2%
Ireland, Londonderry30.2%
US, Delaware, New Castle30.2%
US, Delaware, New Castle, Wilmington30.2%
US, New Jersey, Camden, Camden30.2%
US, Pennsylvania, Allegheny30.2%
US, Pennsylvania, Allegheny, Pittsburgh30.2%
US, Pennsylvania, Blair, Hollidaysburg30.2%
US, Pennsylvania, Bucks, Bristol30.2%
US, Pennsylvania, Dauphin, Harrisburg30.2%
US, Pennsylvania, Franklin30.2%
US, Pennsylvania, Huntingdon30.2%
US, Pennsylvania, Monroe30.2%
US, Pennsylvania, Montgomery, Norristown30.2%
US, Pennsylvania, Somerset30.2%
Wurtemburg30.2%
Canada, Halifax, Nova Scotia20.1%
Canada, New Brunswick, St John20.1%
England, Liverpool20.1%
France, Paris20.1%
Germany, Baden20.1%
Germany, Bavaria20.1%
Ireland, Antrim County20.1%
Ireland, Cork20.1%
Ireland, Galway20.1%
Ireland, Gerglasuen20.1%
Ireland, Tirone20.1%
Ireland, Tirone County20.1%
Ireland, Tyrone County20.1%
Ireland, Waterford20.1%
Spain20.1%
US, Georgia20.1%
US, Maryland, Cecil20.1%
US, New Jersey, Burlington, Medford20.1%
US, New Jersey, Camden20.1%
US, New Jersey, Cumberland, Millville20.1%
US, New Jersey, Mercer, Trenton20.1%
US, New York, Albany20.1%
US, Pennsylvania, Adams, York Springs20.1%
US, Pennsylvania, Bedford, Southampton Twp20.1%
US, Pennsylvania, Berks, Reading20.1%
US, Pennsylvania, Blair20.1%
US, Pennsylvania, Butler20.1%
US, Pennsylvania, Carbon, Mauch Chunk20.1%
US, Pennsylvania, Centre, Bellefonte20.1%
US, Pennsylvania, Chester, West Chester20.1%
US, Pennsylvania, Clearfield20.1%
US, Pennsylvania, Huntingdon, Hopewell Twp20.1%
US, Pennsylvania, Huntingdon, Warrior's Mark20.1%
US, Pennsylvania, Indiana20.1%
US, Pennsylvania, Juniata20.1%
US, Pennsylvania, Montour20.1%
US, Pennsylvania, Schuylkill, Pine Grove20.1%
US, Pennsylvania, Schuylkill, Pottsville20.1%
Belgium10.1%
Canada, New Brunswick10.1%
Canada, Nova Scotia, Halifax10.1%
Canada, Quebec10.1%
Canada, St Bridget10.1%
Canada, Toronto10.1%
England, Carlisle10.1%
England, Cheltenham10.1%
England, Chester10.1%
England, Cumberland10.1%
England, Devon, Plymouth, Charles the Martyr, Saltash St10.1%
England, Dorset, Weymouth10.1%
England, Dover10.1%
England, Lancaster10.1%
England, Lanchisier10.1%
England, Langford10.1%
England, Lestershire10.1%
England, Manchester County10.1%
England, Molton10.1%
England, Newcastle10.1%
England, Northampton10.1%
England, Sheffield10.1%
England, Stafford County10.1%
England, Staffordshire10.1%
England, West Brommich10.1%
England, Yorkshire10.1%
England, Yorkshire County10.1%
England, Yorkshire, Barnsley10.1%
England, near Birmingham10.1%
France, Abershrice [?]10.1%
France, Aix-la Chapelle10.1%
France, Alsace10.1%
France, Passy10.1%
France, Seine, Paris10.1%
France, Strausborg10.1%
Germany, Allsburg10.1%
Germany, Brun10.1%
Germany, Holland10.1%
Germany, Prussia10.1%
Germany, Saxon10.1%
Germany, Schurzburg10.1%
Germany, Stoltest10.1%
Germany, Trin10.1%
Germany, Tyrol10.1%
Germany, Wurttemberg10.1%
Ireland, Armaugh County10.1%
Ireland, Balcastle10.1%
Ireland, Bangdon10.1%
Ireland, Carlon10.1%
Ireland, Cavanah10.1%
Ireland, County Cork10.1%
Ireland, Denegahl10.1%
Ireland, Denegall10.1%
Ireland, Dengal County10.1%
Ireland, Denigall10.1%
Ireland, Devon10.1%
Ireland, Donnegall10.1%
Ireland, Doug County10.1%
Ireland, Down10.1%
Ireland, Down County10.1%
Ireland, Entrim10.1%
Ireland, Fermana10.1%
Ireland, Kilkenny10.1%
Ireland, Lathvan10.1%
Ireland, Limerick10.1%
Ireland, Londenderry10.1%
Ireland, Louth10.1%
Ireland, Lurgan10.1%
Ireland, Madeira10.1%
Ireland, Marion10.1%
Ireland, Melton10.1%
Ireland, Monaghan10.1%
Ireland, Monchen10.1%
Ireland, Munster10.1%
Ireland, Newburgh10.1%
Ireland, Tipperary10.1%
Ireland, Warford10.1%
Ireland, Wastemich [?]10.1%
Ireland, [unknown], County Tyrone10.1%
Malta10.1%
Poland10.1%
Saxony10.1%
Scotland, Ayrshire10.1%
Scotland, Ferth10.1%
Scotland, Glasgow10.1%
Scotland, Lanarkshire10.1%
Scotland, Paisely10.1%
Scotland, Pasely10.1%
US, Connecticut10.1%
US, Connecticut, Hartford10.1%
US, Connecticut, Hartford, East Hartford10.1%
US, Connecticut, Hartford, ThomsonVille10.1%
US, Connecticut, New Haven10.1%
US, Delaware, Christianna, Wilmington10.1%
US, Delaware, Essex10.1%
US, Delaware, Milton10.1%
US, Delaware, New Castle, Red Lion Twp10.1%
US, Delaware, Newcastle10.1%
US, Delaware, Newcastle, Port Penn10.1%
US, Delaware, Sussex, Georgetown10.1%
US, Delaware, Sussex, Georgetown [?]10.1%
US, Delaware, [unknown], Lewistown10.1%
US, Delaware, [unknown], Whitely [?] Creek10.1%
US, Illinois10.1%
US, Indiana10.1%
US, Indiana, Floyd, New Albany10.1%
US, Kentucky, Clay County10.1%
US, Maine, Cumberland10.1%
US, Maine, Kennebec, Augusta10.1%
US, Maine, Portland10.1%
US, Maine, York, Parsonfield10.1%
US, Maryland, Allegany10.1%
US, Maryland, Dochester10.1%
US, Maryland, Prince George10.1%
US, Maryland, Talbot Cty10.1%
US, Maryland, Washington County, Smithsburg10.1%
US, Maryland, Washington Cty10.1%
US, Massachusetts, Cambridge10.1%
US, Massachusetts, Charleston10.1%
US, Massachusetts, Essex, Danvers10.1%
US, Massachusetts, Hampden, Holland10.1%
US, Massachusetts, Marblehead10.1%
US, New Jersey, Atlantic, Atlantic City10.1%
US, New Jersey, Camden, Haddonfield10.1%
US, New Jersey, Camden, Waterford10.1%
US, New Jersey, Cape May10.1%
US, New Jersey, Cumberland, Port Elizabeth10.1%
US, New Jersey, Gloucester10.1%
US, New Jersey, Gloucester, Blackwood10.1%
US, New Jersey, Mercer, near Trenton10.1%
US, New Jersey, Monmouth10.1%
US, New Jersey, Passaic, Patterson10.1%
US, New Jersey, Warren10.1%
US, New Jersey, [unknown], Amley10.1%
US, New York, Alegheny10.1%
US, New York, Columbia, Hudson10.1%
US, New York, Dutchess County10.1%
US, New York, Madison, Oneida10.1%
US, New York, Montgomery, Amsterdam10.1%
US, New York, NY, Brooklyn10.1%
US, New York, Oneida, Utica10.1%
US, New York, Oneida, Vienna10.1%
US, New York, Ontario, Canandaigua10.1%
US, New York, Oswego10.1%
US, New York, Otsego10.1%
US, New York, Rensselaer County, Sand Lake10.1%
US, New York, Rochester10.1%
US, New York, West Chester10.1%
US, New York, Wyoming, Wethersfield Springs10.1%
US, New York, [unknown], Lanohill [?]10.1%
US, New York, [unknown], Otugo10.1%
US, North Carolina, Craven, Newburn10.1%
US, Ohio10.1%
US, Ohio, Cincinnati10.1%
US, Ohio, Pickaway10.1%
US, Ohio, Washington10.1%
US, Ohio, Wyoming10.1%
US, Ohio, [unknown], Cicle [??]10.1%
US, Pennsylvania, Adams, Franklin Twp, Cashtown10.1%
US, Pennsylvania, Adams, Huntington Twp10.1%
US, Pennsylvania, Adams, Irishtown10.1%
US, Pennsylvania, Adams, Liberty Twp10.1%
US, Pennsylvania, Adams, Littlestown10.1%
US, Pennsylvania, Adams, Menallen10.1%
US, Pennsylvania, Adams, Menallen Twp10.1%
US, Pennsylvania, Adams, near Heidlersburg10.1%
US, Pennsylvania, Allegheny, Allegheny City10.1%
US, Pennsylvania, Allegheny, Elizabeth10.1%
US, Pennsylvania, Armstrong, Perry Twp10.1%
US, Pennsylvania, Beaver10.1%
US, Pennsylvania, Bedford, Bean's Cove10.1%
US, Pennsylvania, Bedford, Black Valley10.1%
US, Pennsylvania, Bedford, Elbinsville10.1%
US, Pennsylvania, Bedford, Lincoln Township10.1%
US, Pennsylvania, Bedford, Pavia10.1%
US, Pennsylvania, Bedford, Saint Clair10.1%
US, Pennsylvania, Bedford, Schellsburg10.1%
US, Pennsylvania, Bedford, Southampton Township10.1%
US, Pennsylvania, Bedford, St Clair Township10.1%
US, Pennsylvania, Bedford, West Providence10.1%
US, Pennsylvania, Berks, Pike Twp10.1%
US, Pennsylvania, Blair, North Woodbury Twp10.1%
US, Pennsylvania, Blair, Sinking Valley10.1%
US, Pennsylvania, Bradford10.1%
US, Pennsylvania, Bucks, Castle Valley10.1%
US, Pennsylvania, Bucks, New Britain10.1%
US, Pennsylvania, Bucks, Sellersville10.1%
US, Pennsylvania, Cameron, Shippen10.1%
US, Pennsylvania, Centre10.1%
US, Pennsylvania, Chester, Coatesville10.1%
US, Pennsylvania, Chester, East Malboro10.1%
US, Pennsylvania, Clarion, Highland10.1%
US, Pennsylvania, Clarion, Sarah Furnace10.1%
US, Pennsylvania, Columbia, Catawissa10.1%
US, Pennsylvania, Cumberland10.1%
US, Pennsylvania, Cumberland, Carlile10.1%
US, Pennsylvania, Cumberland, Carlisle10.1%
US, Pennsylvania, Cumberland, near Shiremanstown10.1%
US, Pennsylvania, Dauphin, Harrisbug10.1%
US, Pennsylvania, Dauphin, Middleton10.1%
US, Pennsylvania, Delaware, Chester10.1%
US, Pennsylvania, Delaware, Lower Providence Twp10.1%
US, Pennsylvania, Delaware, Marcus Hook10.1%
US, Pennsylvania, Delaware, Wayne10.1%
US, Pennsylvania, Erie, North East10.1%
US, Pennsylvania, Huntingdon, Neff's Mills10.1%
US, Pennsylvania, Huntingdon, Oneida Twp, Donation10.1%
US, Pennsylvania, Huntingdon, Walker Twp10.1%
US, Pennsylvania, Huntingdon, Warriors Mark Twp10.1%
US, Pennsylvania, Jefferson10.1%
US, Pennsylvania, Juniata, Mexico10.1%
US, Pennsylvania, Juniata, Port Royal10.1%
US, Pennsylvania, Lancaster, Columbia10.1%
US, Pennsylvania, Lancaster, Elizabethtown10.1%
US, Pennsylvania, Lancaster, Little Washington10.1%
US, Pennsylvania, Lancaster, Mount Joy10.1%
US, Pennsylvania, Lebanon10.1%
US, Pennsylvania, Lycoming10.1%
US, Pennsylvania, Montgomery, Frederick Twp10.1%
US, Pennsylvania, Montgomery, Fredrick Twp10.1%
US, Pennsylvania, Montgomery, Horsham10.1%
US, Pennsylvania, Montgomery, Upper Providence10.1%
US, Pennsylvania, Northampton, Lower Saucon Township10.1%
US, Pennsylvania, Perry, Duncannon10.1%
US, Pennsylvania, Perry, Newport10.1%
US, Pennsylvania, Philadelphia, Port Richmond10.1%
US, Pennsylvania, Philadelphia, Roxborough10.1%
US, Pennsylvania, Philadelphia, Spring Garden10.1%
US, Pennsylvania, Schuylkill, Ringtown10.1%
US, Pennsylvania, Schuylkill, Schuylkill Haven10.1%
US, Pennsylvania, Schuylkill, Tamaqua10.1%
US, Pennsylvania, Snyder, Freeburg10.1%
US, Pennsylvania, Tioga, Wells Township10.1%
US, Pennsylvania, Union10.1%
US, Pennsylvania, Union, New Berlin10.1%
US, Pennsylvania, Venango10.1%
US, Pennsylvania, Washington10.1%
US, Pennsylvania, Westmoreland, Youngwood10.1%
US, Pennsylvania, York, Dover10.1%
US, Pennsylvania, York, Warrington10.1%
US, Pennsylvania, [unknown], Birmingham10.1%
US, Pennsylvania, [unknown], Columbia10.1%
US, Pennsylvania, [unknown], New Township10.1%
US, South Carolina, Charleston10.1%
US, Vermont10.1%
US, Vermont, Rutland10.1%
US, Virginia10.1%
US, Virginia, Loudoun County10.1%
US, Virginia, [unknown], Drummond10.1%
US, Virginia, [unknown], Norfolk10.1%
US, Washington, District of Columbia10.1%
US, West Virginia, Monongalia10.1%
Wurtemburg, Cardiff10.1%

Birthplace

Bavaria30.2%
Belgium10.1%
Canada130.7%
Canada, Halifax, Nova Scotia20.1%
Canada, New Brunswick10.1%
Canada, New Brunswick, St John20.1%
Canada, Nova Scotia, Halifax10.1%
Canada, Quebec10.1%
Canada, St Bridget10.1%
Canada, Toronto10.1%
England392.2%
England, Carlisle10.1%
England, Cheltenham10.1%
England, Chester10.1%
England, Cumberland10.1%
England, Devon, Plymouth, Charles the Martyr, Saltash St10.1%
England, Dorset, Weymouth10.1%
England, Dover10.1%
England, Lancashire50.3%
England, Lancaster10.1%
England, Lanchisier10.1%
England, Langford10.1%
England, Lestershire10.1%
England, Liverpool20.1%
England, London30.2%
England, Manchester40.2%
England, Manchester County10.1%
England, Molton10.1%
England, Newcastle10.1%
England, Northampton10.1%
England, Sheffield10.1%
England, Stafford County10.1%
England, Staffordshire10.1%
England, West Brommich10.1%
England, Yorkshire10.1%
England, Yorkshire County10.1%
England, Yorkshire, Barnsley10.1%
England, near Birmingham10.1%
France90.5%
France, Abershrice [?]10.1%
France, Aix-la Chapelle10.1%
France, Alsace10.1%
France, Paris20.1%
France, Passy10.1%
France, Seine, Paris10.1%
France, Strausborg10.1%
Germany693.9%
Germany, Allsburg10.1%
Germany, Baden20.1%
Germany, Bavaria20.1%
Germany, Brun10.1%
Germany, Holland10.1%
Germany, Prussia10.1%
Germany, Saxon10.1%
Germany, Schurzburg10.1%
Germany, Stoltest10.1%
Germany, Trin10.1%
Germany, Tyrol10.1%
Germany, Wurtemburg30.2%
Germany, Wurttemberg10.1%
Ireland1659.4%
Ireland, Antrim60.3%
Ireland, Antrim County20.1%
Ireland, Armagh30.2%
Ireland, Armaugh County10.1%
Ireland, Balcastle10.1%
Ireland, Bangdon10.1%
Ireland, Belfast40.2%
Ireland, Carlon10.1%
Ireland, Cavanah10.1%
Ireland, Cork20.1%
Ireland, County Antrim40.2%
Ireland, County Cork10.1%
Ireland, County Tyrone30.2%
Ireland, Denegahl10.1%
Ireland, Denegall10.1%
Ireland, Dengal County10.1%
Ireland, Denigall10.1%
Ireland, Denighal30.2%
Ireland, Derry100.6%
Ireland, Derry County30.2%
Ireland, Devon10.1%
Ireland, Donegal80.5%
Ireland, Donnegall10.1%
Ireland, Doug County10.1%
Ireland, Down10.1%
Ireland, Down County10.1%
Ireland, Dublin90.5%
Ireland, Entrim10.1%
Ireland, Fermana10.1%
Ireland, Galway20.1%
Ireland, Gerglasuen20.1%
Ireland, Kilkenny10.1%
Ireland, Lathvan10.1%
Ireland, Limerick10.1%
Ireland, Londenderry10.1%
Ireland, Londonderry30.2%
Ireland, Louth10.1%
Ireland, Lurgan10.1%
Ireland, Madeira10.1%
Ireland, Marion10.1%
Ireland, Melton10.1%
Ireland, Monaghan10.1%
Ireland, Monchen10.1%
Ireland, Munster10.1%
Ireland, Newburgh10.1%
Ireland, Tipperary10.1%
Ireland, Tirone20.1%
Ireland, Tirone County20.1%
Ireland, Tyrone90.5%
Ireland, Tyrone County20.1%
Ireland, Warford10.1%
Ireland, Wastemich [?]10.1%
Ireland, Waterford20.1%
Ireland, [unknown], County Tyrone10.1%
Malta10.1%
Poland10.1%
Prussia60.3%
Saxony10.1%
Scotland171.0%
Scotland, Ayrshire10.1%
Scotland, Ferth10.1%
Scotland, Glasgow10.1%
Scotland, Lanarkshire10.1%
Scotland, Paisely10.1%
Scotland, Pasely10.1%
Spain20.1%
Switzerland70.4%
US, Connecticut10.1%
US, Connecticut, Hartford10.1%
US, Connecticut, Hartford, East Hartford10.1%
US, Connecticut, Hartford, ThomsonVille10.1%
US, Connecticut, New Haven10.1%
US, Delaware40.2%
US, Delaware, Christianna, Wilmington10.1%
US, Delaware, Essex10.1%
US, Delaware, Milton10.1%
US, Delaware, New Castle30.2%
US, Delaware, New Castle, Red Lion Twp10.1%
US, Delaware, New Castle, Wilmington30.2%
US, Delaware, Newcastle10.1%
US, Delaware, Newcastle, Port Penn10.1%
US, Delaware, Sussex, Georgetown10.1%
US, Delaware, Sussex, Georgetown [?]10.1%
US, Delaware, [unknown], Lewistown10.1%
US, Delaware, [unknown], Whitely [?] Creek10.1%
US, Georgia20.1%
US, Illinois10.1%
US, Indiana10.1%
US, Indiana, Floyd, New Albany10.1%
US, Kentucky, Clay County10.1%
US, Maine, Cumberland10.1%
US, Maine, Kennebec, Augusta10.1%
US, Maine, Portland10.1%
US, Maine, York, Parsonfield10.1%
US, Maryland70.4%
US, Maryland, Allegany10.1%
US, Maryland, Baltimore100.6%
US, Maryland, Cecil20.1%
US, Maryland, Dochester10.1%
US, Maryland, Prince George10.1%
US, Maryland, Talbot Cty10.1%
US, Maryland, Washington County, Smithsburg10.1%
US, Maryland, Washington Cty10.1%
US, Massachusetts, Cambridge10.1%
US, Massachusetts, Charleston10.1%
US, Massachusetts, Essex, Danvers10.1%
US, Massachusetts, Hampden, Holland10.1%
US, Massachusetts, Marblehead10.1%
US, Massachusetts, Suffolk, Boston50.3%
US, New Jersey80.5%
US, New Jersey, Atlantic, Atlantic City10.1%
US, New Jersey, Burlington50.3%
US, New Jersey, Burlington, Medford20.1%
US, New Jersey, Camden20.1%
US, New Jersey, Camden, Camden30.2%
US, New Jersey, Camden, Haddonfield10.1%
US, New Jersey, Camden, Waterford10.1%
US, New Jersey, Cape May10.1%
US, New Jersey, Cumberland, Millville20.1%
US, New Jersey, Cumberland, Port Elizabeth10.1%
US, New Jersey, Gloucester10.1%
US, New Jersey, Gloucester, Blackwood10.1%
US, New Jersey, Mercer, Trenton20.1%
US, New Jersey, Mercer, near Trenton10.1%
US, New Jersey, Monmouth10.1%
US, New Jersey, Passaic, Patterson10.1%
US, New Jersey, Salem40.2%
US, New Jersey, Warren10.1%
US, New Jersey, [unknown], Amley10.1%
US, New York181.0%
US, New York, Albany20.1%
US, New York, Alegheny10.1%
US, New York, Columbia, Hudson10.1%
US, New York, Dutchess County10.1%
US, New York, Madison, Oneida10.1%
US, New York, Montgomery, Amsterdam10.1%
US, New York, NY, Brooklyn10.1%
US, New York, New York100.6%
US, New York, Oneida, Utica10.1%
US, New York, Oneida, Vienna10.1%
US, New York, Ontario, Canandaigua10.1%
US, New York, Oswego10.1%
US, New York, Otsego10.1%
US, New York, Rensselaer County, Sand Lake10.1%
US, New York, Rochester10.1%
US, New York, West Chester10.1%
US, New York, Wyoming, Wethersfield Springs10.1%
US, New York, [unknown], Lanohill [?]10.1%
US, New York, [unknown], Otugo10.1%
US, North Carolina, Craven, Newburn10.1%
US, Ohio10.1%
US, Ohio, Cincinnati10.1%
US, Ohio, Pickaway10.1%
US, Ohio, Washington10.1%
US, Ohio, Wyoming10.1%
US, Ohio, [unknown], Cicle [??]10.1%
US, Pennsylvania1538.7%
US, Pennsylvania, Adams301.7%
US, Pennsylvania, Adams, Franklin Twp, Cashtown10.1%
US, Pennsylvania, Adams, Huntington Twp10.1%
US, Pennsylvania, Adams, Irishtown10.1%
US, Pennsylvania, Adams, Liberty Twp10.1%
US, Pennsylvania, Adams, Littlestown10.1%
US, Pennsylvania, Adams, Menallen10.1%
US, Pennsylvania, Adams, Menallen Twp10.1%
US, Pennsylvania, Adams, York Springs20.1%
US, Pennsylvania, Adams, near Heidlersburg10.1%
US, Pennsylvania, Allegheny30.2%
US, Pennsylvania, Allegheny, Allegheny City10.1%
US, Pennsylvania, Allegheny, Elizabeth10.1%
US, Pennsylvania, Allegheny, Pittsburgh30.2%
US, Pennsylvania, Armstrong40.2%
US, Pennsylvania, Armstrong, Perry Twp10.1%
US, Pennsylvania, Beaver10.1%
US, Pennsylvania, Bedford502.9%
US, Pennsylvania, Bedford, Bean's Cove10.1%
US, Pennsylvania, Bedford, Black Valley10.1%
US, Pennsylvania, Bedford, Elbinsville10.1%
US, Pennsylvania, Bedford, Lincoln Township10.1%
US, Pennsylvania, Bedford, Pavia10.1%
US, Pennsylvania, Bedford, Saint Clair10.1%
US, Pennsylvania, Bedford, Schellsburg10.1%
US, Pennsylvania, Bedford, Southampton Township10.1%
US, Pennsylvania, Bedford, Southampton Twp20.1%
US, Pennsylvania, Bedford, St Clair Township10.1%
US, Pennsylvania, Bedford, West Providence10.1%
US, Pennsylvania, Berks80.5%
US, Pennsylvania, Berks, Pike Twp10.1%
US, Pennsylvania, Berks, Reading20.1%
US, Pennsylvania, Blair20.1%
US, Pennsylvania, Blair, Hollidaysburg30.2%
US, Pennsylvania, Blair, North Woodbury Twp10.1%
US, Pennsylvania, Blair, Sinking Valley10.1%
US, Pennsylvania, Bradford10.1%
US, Pennsylvania, Bucks110.6%
US, Pennsylvania, Bucks, Bristol30.2%
US, Pennsylvania, Bucks, Castle Valley10.1%
US, Pennsylvania, Bucks, New Britain10.1%
US, Pennsylvania, Bucks, Sellersville10.1%
US, Pennsylvania, Butler20.1%
US, Pennsylvania, Cambria40.2%
US, Pennsylvania, Cameron, Shippen10.1%
US, Pennsylvania, Carbon, Mauch Chunk20.1%
US, Pennsylvania, Centre10.1%
US, Pennsylvania, Centre, Bellefonte20.1%
US, Pennsylvania, Chester160.9%
US, Pennsylvania, Chester, Coatesville10.1%
US, Pennsylvania, Chester, East Malboro10.1%
US, Pennsylvania, Chester, West Chester20.1%
US, Pennsylvania, Clarion, Highland10.1%
US, Pennsylvania, Clarion, Sarah Furnace10.1%
US, Pennsylvania, Clearfield20.1%
US, Pennsylvania, Columbia, Catawissa10.1%
US, Pennsylvania, Cumberland10.1%
US, Pennsylvania, Cumberland, Carlile10.1%
US, Pennsylvania, Cumberland, Carlisle10.1%
US, Pennsylvania, Cumberland, near Shiremanstown10.1%
US, Pennsylvania, Dauphin50.3%
US, Pennsylvania, Dauphin, Harrisbug10.1%
US, Pennsylvania, Dauphin, Harrisburg30.2%
US, Pennsylvania, Dauphin, Middleton10.1%
US, Pennsylvania, Delaware90.5%
US, Pennsylvania, Delaware, Chester10.1%
US, Pennsylvania, Delaware, Lower Providence Twp10.1%
US, Pennsylvania, Delaware, Marcus Hook10.1%
US, Pennsylvania, Delaware, Wayne10.1%
US, Pennsylvania, Erie, North East10.1%
US, Pennsylvania, Franklin30.2%
US, Pennsylvania, Huntingdon30.2%
US, Pennsylvania, Huntingdon, Hopewell Twp20.1%
US, Pennsylvania, Huntingdon, Neff's Mills10.1%
US, Pennsylvania, Huntingdon, Oneida Twp, Donation10.1%
US, Pennsylvania, Huntingdon, Walker Twp10.1%
US, Pennsylvania, Huntingdon, Warrior's Mark20.1%
US, Pennsylvania, Huntingdon, Warriors Mark Twp10.1%
US, Pennsylvania, Indiana20.1%
US, Pennsylvania, Jefferson10.1%
US, Pennsylvania, Juniata20.1%
US, Pennsylvania, Juniata, Mexico10.1%
US, Pennsylvania, Juniata, Port Royal10.1%
US, Pennsylvania, Lancaster110.6%
US, Pennsylvania, Lancaster, Columbia10.1%
US, Pennsylvania, Lancaster, Elizabethtown10.1%
US, Pennsylvania, Lancaster, Little Washington10.1%
US, Pennsylvania, Lancaster, Mount Joy10.1%
US, Pennsylvania, Lebanon10.1%
US, Pennsylvania, Lycoming10.1%
US, Pennsylvania, Monroe30.2%
US, Pennsylvania, Montgomery130.7%
US, Pennsylvania, Montgomery, Frederick Twp10.1%
US, Pennsylvania, Montgomery, Fredrick Twp10.1%
US, Pennsylvania, Montgomery, Horsham10.1%
US, Pennsylvania, Montgomery, Norristown30.2%
US, Pennsylvania, Montgomery, Upper Providence10.1%
US, Pennsylvania, Montour20.1%
US, Pennsylvania, Northampton, Easton50.3%
US, Pennsylvania, Northampton, Lower Saucon Township10.1%
US, Pennsylvania, Northumberland60.3%
US, Pennsylvania, Northumberland, Milton130.7%
US, Pennsylvania, Perry, Duncannon10.1%
US, Pennsylvania, Perry, Newport10.1%
US, Pennsylvania, Philadelphia55631.7%
US, Pennsylvania, Philadelphia, Port Richmond10.1%
US, Pennsylvania, Philadelphia, Roxborough10.1%
US, Pennsylvania, Philadelphia, Spring Garden10.1%
US, Pennsylvania, Schuylkill, Pine Grove20.1%
US, Pennsylvania, Schuylkill, Pottsville20.1%
US, Pennsylvania, Schuylkill, Ringtown10.1%
US, Pennsylvania, Schuylkill, Schuylkill Haven10.1%
US, Pennsylvania, Schuylkill, Tamaqua10.1%
US, Pennsylvania, Snyder, Freeburg10.1%
US, Pennsylvania, Somerset30.2%
US, Pennsylvania, Tioga, Wells Township10.1%
US, Pennsylvania, Union10.1%
US, Pennsylvania, Union, New Berlin10.1%
US, Pennsylvania, Venango10.1%
US, Pennsylvania, Washington10.1%
US, Pennsylvania, Westmoreland, Youngwood10.1%
US, Pennsylvania, York50.3%
US, Pennsylvania, York, Dover10.1%
US, Pennsylvania, York, Warrington10.1%
US, Pennsylvania, [unknown], Birmingham10.1%
US, Pennsylvania, [unknown], Columbia10.1%
US, Pennsylvania, [unknown], New Township10.1%
US, South Carolina, Charleston10.1%
US, Vermont10.1%
US, Vermont, Rutland10.1%
US, Virginia10.1%
US, Virginia, Loudoun County10.1%
US, Virginia, [unknown], Drummond10.1%
US, Virginia, [unknown], Norfolk10.1%
US, Washington, District of Columbia10.1%
US, West Virginia, Monongalia10.1%
Wales40.2%
Wurtemburg30.2%
Wurtemburg, Cardiff10.1%
[unknown]308 %

Birth country, from regimental records, in frequency order

US111268.9%
[unknown]446 %
Ireland26216.2%
Germany815.0%
England734.5%
Canada231.4%
Scotland211.3%
France161.0%
Switzerland70.4%
Prussia60.4%
Bavaria30.2%
Wales30.2%
Spain20.1%
Wurtemburg20.1%
Belgium10.1%
Jamaica10.1%
Malta10.1%
Poland10.1%

Birth country, from regimental records, supplemented with others

US128870.3%
Ireland28615.6%
[unknown]229 %
Germany884.8%
England774.2%
Scotland231.3%
Canada221.2%
France170.9%
Switzerland70.4%
Prussia60.3%
Wales40.2%
Wurtemburg40.2%
Bavaria30.2%
Spain20.1%
Belgium10.1%
Malta10.1%
Poland10.1%
Saxon-Meiningen10.1%
Saxony10.1%

Birth country

Bavaria30.2%
Belgium10.1%
Canada231.4%
England734.5%
France161.0%
Germany815.0%
Ireland26216.2%
Jamaica10.1%
Malta10.1%
Poland10.1%
Prussia60.4%
Scotland211.3%
Spain20.1%
Switzerland70.4%
US111268.9%
Wales30.2%
Wurtemburg20.1%
[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

Germany13.3%
Ireland26.7%
US2790.0%
[unknown]1 %

Birth country for men ending as commissioned officers

Germany22.6%
Ireland67.7%
Scotland11.3%
US6988.5%
[unknown]1 %

Number of census entries found

087642.5%
131415.2%
1010.0%
21728.3%
31225.9%
41487.2%
51376.6%
61014.9%
7954.6%
8743.6%
9211.0%

Number of census entries checked (whether or not found)

061529.8%
141119.9%
101617.8%
21396.7%
3844.1%
4813.9%
5643.1%
6391.9%
7311.5%
890.4%
942720.7%

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

 1850186018701880189019001910192019301940
can't identify48
(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%)
found501
(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 checked1361
(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 found151
(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

 1850186018701880189019001910192019301940
can't identify48
(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 found151135149153675240314417566153
not checked136112651250118068612691330139714141897
soldier501
(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

 18501860enlistment18701880189019001910192019301940
  645
(31.3%)
        
Clergyman Meth1
(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%)
         
basketmaker1
(0.2%)
1
(0.2%)
3
(0.1%)
 1
(0.1%)
      
beamer    1
(0.1%)
 1
(0.2%)
    
beer saloon   1
(0.2%)
       
blacksmith2
(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 presser1
(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 founder1
(0.2%)
          
brass moulder 1
(0.2%)
1
(0.0%)
        
brass turner  2
(0.1%)
        
breakman  1
(0.0%)
        
brewer  1
(0.0%)
        
bricklayer3
(0.6%)
4
(0.6%)
12
(0.6%)
3
(0.5%)
5
(0.7%)
1
(1.0%)
1
(0.2%)
    
brickmaker3
(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 maker1
(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 maker1
(0.2%)
 5
(0.2%)
2
(0.3%)
 2
(2.0%)
1
(0.2%)
    
cabinetmaker  1
(0.0%)
        
can't identify48
(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%)
        
carpenter9
(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 weaver1
(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 found151135 149153675240314417566153
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%)
      
clerk5
(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%)
         
coachmaker2
(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%)
      
collier1
(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 printer1
(0.2%)
          
cordwainer1
(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 laborer1
(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%)
    
druggist1
(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%)
       
dyer1
(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%)
       
engraver1
(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%)
         
farmer25
(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%)
       
farming1
(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%)
      
founder1
(0.2%)
  1
(0.2%)
       
furnishing store      1
(0.2%)
    
furniture car driver    1
(0.1%)
      
furrier      1
(0.2%)
    
gardener1
(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 fitter1
(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 blower1
(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%)
        
hostler1
(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 carpenter1
(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%)
   
huckster1
(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%)
         
innkeeper1
(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%)
         
labor2
(0.4%)
     1
(0.2%)
    
labor boss (railroad)      1
(0.2%)
    
labor in timber      1
(0.2%)
    
labor on farm   2
(0.3%)
       
laborer29
(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%)
   
lawyer1
(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 merchant1
(0.2%)
1
(0.2%)
         
lumberman  1
(0.0%)
1
(0.2%)
       
machine manufacturer   1
(0.2%)
       
machinist2
(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%)
        
mariner1
(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%)
    
merchant2
(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%)
        
miller1
(0.2%)
1
(0.2%)
9
(0.4%)
2
(0.3%)
3
(0.4%)
 1
(0.2%)
    
millerman1
(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 dresser1
(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 business1
(0.2%)
          
no oc   1
(0.2%)
       
nobler   1
(0.2%)
       
none12
(2.4%)
     1
(0.2%)
38
(9.7%)
54
(23.7%)
14
(20.6%)
 
not checked13611265 1250118068612691330139714141897
nothing      1
(0.2%)
    
notion peddler    1
(0.1%)
      
notion store    1
(0.1%)
      
oak cooper1
(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%)
       
painter6
(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%)
        
paperhanger2
(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%)
   
plasterer5
(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%)
       
poller1
(0.2%)
          
porter  1
(0.0%)
        
postmaster   1
(0.2%)
       
potter1
(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%)
    
printer2
(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%)
      
saddler1
(0.2%)
 4
(0.2%)
2
(0.3%)
1
(0.1%)
  1
(0.3%)
   
sailor1
(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 carpenter1
(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%)
      
shoemaker1
(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 manufacturer1
(0.2%)
          
soapmaker  3
(0.1%)
        
soldier  5
(0.2%)
1
(0.2%)
2
(0.3%)
      
special police    1
(0.1%)
      
spinner1
(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 cutter3
(0.6%)
4
(0.6%)
5
(0.2%)
4
(0.6%)
1
(0.1%)
 2
(0.4%)
    
stone cutter app 1
(0.2%)
         
stone mason1
(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%)
       
tailor4
(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%)
    
tanner2
(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%)
         
teacher1
(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%)
    
tinman1
(0.2%)
          
tinner 1
(0.2%)
         
tinsmith1
(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%)
    
tobacconist1
(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%)
      
trunkmaker1
(0.2%)
1
(0.2%)
         
turner1
(0.2%)
 3
(0.1%)
        
type caster 2
(0.3%)
         
type founder1
(0.2%)
 3
(0.1%)
        
undertaker    1
(0.1%)
 1
(0.2%)
1
(0.3%)
   
unemployed  1
(0.0%)
        
upholsterer1
(0.2%)
2
(0.3%)
 1
(0.2%)
1
(0.1%)
1
(1.0%)
1
(0.2%)
    
varnisher1
(0.2%)
3
(0.5%)
3
(0.1%)
1
(0.2%)
       
vegetable farmer    1
(0.1%)
      
vendor  2
(0.1%)
        
veteran  1
(0.0%)
        
victualler1
(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%)
        
warper1
(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%)
   
waterman2
(0.4%)
1
(0.2%)
10
(0.5%)
 1
(0.1%)
      
weaver7
(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%)
         
wheelwright2
(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

 18501860enlistment18701880189019001910192019301940
Artisans70
(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 laborers34
(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 force13
(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 proprietors7
(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 proprietors40
(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 workers6
(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]324160648129115593161157136509
can't identify48
(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 found151135 149153675240314417566153
not checked13611265 1250118068612691330139714141897
unknown class7
(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

 18501860enlistment18701880189019001910192019301940
[unknown]324169663134130597176160137509
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 hunters28
(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 identify48
(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 found151135 149153675240314417566153
clerical and related workers5
(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 checked13611265 1250118068612691330139714141897
not in work force13
(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 laborers120
(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 workers3
(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 workers6
(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 workers2
(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

 18501860enlistment18701880189019001910192019301940
[unknown]324169663134130597176160137509
agricultural and animal husbandry workers2
(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 operators4
(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 workers21
(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 woodworkers7
(4.0%)
16
(3.5%)
33
(2.4%)
8
(1.6%)
10
(1.8%)
3
(3.1%)
2
(0.6%)
    
can't identify48
(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 found151135 149153675240314417566153
chemical processors and related workers  3
(0.2%)
2
(0.4%)
       
clerical and related workers, specialization unknown5
(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%)
  
farmers26
(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 processors1
(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 workers5
(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%)
    
jurists1
(0.6%)
  5
(1.0%)
3
(0.5%)
 3
(0.9%)
2
(0.9%)
1
(1.1%)
  
labourers not elsewhere classified32
(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 processors2
(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 workers1
(0.6%)
3
(0.7%)
21
(1.5%)
7
(1.4%)
9
(1.6%)
 3
(0.9%)
1
(0.4%)
   
not checked13611265 1250118068612691330139714141897
not in work force13
(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%)
 
painters6
(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 makers1
(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 erectors3
(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 workers3
(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 classified2
(1.1%)
3
(0.7%)
11
(0.8%)
2
(0.4%)
2
(0.4%)
 1
(0.3%)
    
production and related workers, specialization unknown2
(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 workers1
(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 makers3
(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 workers11
(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 carvers3
(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 workers6
(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 dressers3
(1.7%)
4
(0.9%)
7
(0.5%)
2
(0.4%)
3
(0.5%)
 2
(0.6%)
    
teachers1
(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 operators4
(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 religion1
(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

 18501860enlistment18701880189019001910192019301940
[unknown]324169663134130597176160137509
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%)
    
basketmaker1
(0.6%)
2
(0.4%)
3
(0.2%)
 1
(0.2%)
      
beam warper1
(0.6%)
2
(0.4%)
 1
(0.2%)
       
blacksmith2
(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 stonemason1
(0.6%)
1
(0.2%)
4
(0.3%)
10
(2.0%)
6
(1.1%)
  1
(0.4%)
   
bricklayer or stonemason, specialization unknown3
(1.7%)
5
(1.1%)
12
(0.9%)
5
(1.0%)
7
(1.2%)
1
(1.0%)
1
(0.3%)
    
broommaker  3
(0.2%)
        
brushmaker1
(0.6%)
 2
(0.1%)
        
building painter6
(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%)
     
cabinetmaker1
(0.6%)
 8
(0.6%)
3
(0.6%)
1
(0.2%)
2
(2.1%)
1
(0.3%)
    
can't identify48
(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, general9
(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%)
      
cartwright2
(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 found151135 149153675240314417566153
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 unknown5
(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 builder2
(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 carpenter1
(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%)
        
cooper1
(0.6%)
3
(0.7%)
9
(0.6%)
 3
(0.5%)
1
(1.0%)
     
copper plate printer1
(0.6%)
          
day-labourer1
(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 upholsterer1
(0.6%)
2
(0.4%)
 1
(0.2%)
1
(0.2%)
1
(1.0%)
1
(0.3%)
    
gardener      1
(0.3%)
    
gas fitter1
(0.6%)
1
(0.2%)
         
general baker 3
(0.7%)
16
(1.1%)
3
(0.6%)
2
(0.4%)
 1
(0.3%)
    
general farmer26
(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 blower1
(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 worker1
(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%)
   
labourer31
(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%)
        
lawyer1
(0.6%)
  2
(0.4%)
2
(0.4%)
 1
(0.3%)
    
leather currier1
(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 unknown2
(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 unknown1
(0.6%)
7
(1.5%)
21
(1.5%)
2
(0.4%)
2
(0.4%)
2
(2.1%)
1
(0.3%)
    
metal pourer1
(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%)
        
millwright1
(0.6%)
3
(0.7%)
10
(0.7%)
4
(0.8%)
3
(0.5%)
 1
(0.3%)
    
miner, general1
(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 religion1
(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 checked13611265 1250118068612691330139714141897
not in work force13
(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, unspecified1
(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 makers1
(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 boatmen2
(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 hanger2
(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, general5
(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 unknown1
(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 specialization2
(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 unknown2
(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 maker1
(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 ordinary2
(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 carpenter1
(0.6%)
 6
(0.4%)
        
shoe cutter (hand) 1
(0.2%)
         
shoe-maker, general2
(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 yarn1
(0.6%)
 2
(0.1%)
 1
(0.2%)
      
spray-painter (except construction) 1
(0.2%)
         
stone cutter and finisher3
(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 vendor1
(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 unknown4
(2.3%)
6
(1.3%)
16
(1.1%)
7
(1.4%)
5
(0.9%)
 2
(0.6%)
1
(0.4%)
   
tanner or fellmonger, specialization unknown2
(1.1%)
 2
(0.1%)
 1
(0.2%)
      
tax collector        1
(1.1%)
  
teacher, level and subject unknown1
(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%)
       
tinsmith2
(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 unknown7
(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 finisher1
(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 unknown1
(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 dyer1
(0.6%)
 1
(0.1%)
 1
(0.2%)
 1
(0.3%)
    

Marital status, by census

 188019001910192019301940
[unknown] 11   
can't identify30
(4.3%)
29
(5.6%)
25
(6.4%)
19
(8.3%)
13
(19.1%)
2
(22.2%)
census not found153240314417566153
divorced2
(0.3%)
3
(0.6%)
 1
(0.4%)
  
married528
(75.6%)
337
(64.6%)
194
(49.6%)
66
(28.9%)
8
(11.8%)
 
not checked118012691330139714141897
single54
(7.7%)
20
(3.8%)
9
(2.3%)
3
(1.3%)
  
widow84
(12.0%)
107
(20.5%)
139
(35.5%)
127
(55.7%)
48
(70.6%)
8
(88.9%)
widowed/divorced30
(4.3%)
     
widower 55
(10.5%)
49
(12.5%)
31
(13.6%)
12
(17.6%)
1
(11.1%)

State living in, by census

 1850186018701880189019001910192019301940
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%)
      
Delaware2
(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%)
   
Maine1
(0.2%)
1
(0.2%)
1
(0.2%)
2
(0.3%)
2
(0.3%)
3
(0.6%)
    
Maryland7
(1.4%)
6
(1.0%)
10
(1.6%)
9
(1.3%)
9
(1.3%)
9
(1.7%)
4
(1.0%)
1
(0.4%)
  
Massachusetts3
(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 Jersey14
(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 York4
(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%)
Ohio5
(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%)
    
Pennsylvania461
(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%)
  
Vermont1
(0.2%)
         
Virginia2
(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 Columbia1
(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 identify48
(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 found151135149153675240314417566153
not checked136112651250118068612691330139714141897

Pennsylvania county living in, by census

 1850186018701880189019001910192019301940
Adams36
(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%)
 
Allegheny3
(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%)
 
Armstrong5
(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%)
  
Bedford35
(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%)
 
Berks6
(0.3%)
5
(0.2%)
5
(0.2%)
6
(0.3%)
4
(0.2%)
5
(0.2%)
2
(0.1%)
3
(0.1%)
  
Blair5
(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%)
 
Bradford2
(0.1%)
2
(0.1%)
1
(0.0%)
 2
(0.1%)
1
(0.0%)
    
Bucks4
(0.2%)
6
(0.3%)
6
(0.3%)
6
(0.3%)
9
(0.4%)
8
(0.4%)
8
(0.4%)
2
(0.1%)
  
Butler2
(0.1%)
1
(0.0%)
4
(0.2%)
6
(0.3%)
2
(0.1%)
3
(0.1%)
2
(0.1%)
   
Cambria4
(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%)
       
Centre1
(0.0%)
2
(0.1%)
5
(0.2%)
2
(0.1%)
5
(0.2%)
3
(0.1%)
2
(0.1%)
   
Chester4
(0.2%)
3
(0.1%)
4
(0.2%)
6
(0.3%)
6
(0.3%)
6
(0.3%)
3
(0.1%)
2
(0.1%)
  
Clarion2
(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%)
  
Cumberland3
(0.1%)
1
(0.0%)
2
(0.1%)
4
(0.2%)
3
(0.1%)
 2
(0.1%)
1
(0.0%)
  
Dauphin3
(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%)
 
Delaware6
(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%)
   
Fayette3
(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%)
Franklin3
(0.1%)
3
(0.1%)
4
(0.2%)
3
(0.1%)
1
(0.0%)
1
(0.0%)
1
(0.0%)
   
Fulton1
(0.0%)
1
(0.0%)
1
(0.0%)
1
(0.0%)
2
(0.1%)
1
(0.0%)
1
(0.0%)
1
(0.0%)
  
Greene2
(0.1%)
2
(0.1%)
2
(0.1%)
1
(0.0%)
      
Huntingdon14
(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%)
 
Indiana1
(0.0%)
2
(0.1%)
        
Jefferson1
(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%)
 
Juniata2
(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%)
  
Lancaster4
(0.2%)
8
(0.4%)
8
(0.4%)
8
(0.4%)
8
(0.4%)
7
(0.3%)
5
(0.2%)
2
(0.1%)
  
Lebanon2
(0.1%)
1
(0.0%)
1
(0.0%)
 1
(0.0%)
     
Lehigh1
(0.0%)
  1
(0.0%)
 1
(0.0%)
1
(0.0%)
1
(0.0%)
1
(0.0%)
 
Luzerne1
(0.0%)
2
(0.1%)
4
(0.2%)
3
(0.1%)
3
(0.1%)
4
(0.2%)
4
(0.2%)
2
(0.1%)
  
Lycoming1
(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%)
  
Mifflin2
(0.1%)
1
(0.0%)
2
(0.1%)
1
(0.0%)
1
(0.0%)
1
(0.0%)
2
(0.1%)
   
Monroe2
(0.1%)
2
(0.1%)
1
(0.0%)
1
(0.0%)
1
(0.0%)
1
(0.0%)
2
(0.1%)
2
(0.1%)
  
Montgomery18
(0.9%)
21
(1.0%)
18
(0.9%)
19
(0.9%)
14
(0.7%)
13
(0.6%)
9
(0.4%)
5
(0.2%)
  
Montour1
(0.0%)
1
(0.0%)
2
(0.1%)
1
(0.0%)
1
(0.0%)
1
(0.0%)
    
Northampton1
(0.0%)
4
(0.2%)
4
(0.2%)
4
(0.2%)
4
(0.2%)
2
(0.1%)
2
(0.1%)
2
(0.1%)
  
Northumberland9
(0.4%)
15
(0.7%)
6
(0.3%)
6
(0.3%)
5
(0.2%)
5
(0.2%)
3
(0.1%)
1
(0.0%)
  
Perry2
(0.1%)
 1
(0.0%)
  1
(0.0%)
1
(0.0%)
1
(0.0%)
  
Philadelphia240
(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%)
  
Schuylkill1
(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%)
 
Somerset10
(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%)
      
Tioga3
(0.1%)
3
(0.1%)
2
(0.1%)
3
(0.1%)
2
(0.1%)
3
(0.1%)
2
(0.1%)
   
Union3
(0.1%)
1
(0.0%)
 1
(0.0%)
      
Venango1
(0.0%)
 1
(0.0%)
       
Wayne4
(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%)
 
Westmoreland4
(0.2%)
4
(0.2%)
4
(0.2%)
5
(0.2%)
5
(0.2%)
5
(0.2%)
5
(0.2%)
4
(0.2%)
  
Wyoming1
(0.0%)
         
York2
(0.1%)
5
(0.2%)
1
(0.0%)
3
(0.1%)
2
(0.1%)
3
(0.1%)
2
(0.1%)
1
(0.0%)
  
not Pennsylvania1600
(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

 18501860
can't identify48
(9.6%)
40
(6.4%)
census not found151135
no291
(58.1%)
524
(84.4%)
not checked13611265
yes210
(41.9%)
97
(15.6%)

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

 185018601870190019101920
[unknown]15121400149356
can't identify   29
(5.6%)
25
(6.5%)
19
(8.6%)
census not found   240314417
no493
(89.8%)
559
(84.6%)
410
(61.9%)
   
not checked  1250126913301397
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%)
yes56
(10.2%)
102
(15.4%)
252
(38.1%)
   

Complexion

dark58836.0%
light54133.1%
[unknown]428 %
fair39123.9%
florid543.3%
ruddy171.0%
sandy171.0%
brown60.4%
sallow40.2%
hazel30.2%
medium30.2%
blue20.1%
fresh20.1%
grey20.1%
black10.1%
darkish10.1%
mixed10.1%

Court martials

not court martialed199896.9%
court martialed633.1%

Eye color

blue58435.8%
grey48229.5%
[unknown]429 %
hazel24515.0%
dark1398.5%
brown1006.1%
light442.7%
black261.6%
gray30.2%
dark blue20.1%
light blue20.1%
blue grey10.1%
dark grey10.1%
fair10.1%
light brown10.1%
red10.1%

Eye color, hair color, and complexion

[unknown], [unknown], [unknown]42620.7%
blue, light, light1396.7%
grey, dark, dark914.4%
dark, dark, dark854.1%
grey, light, light844.1%
blue, brown, fair773.7%
blue, dark, dark713.4%
hazel, dark, dark552.7%
grey, brown, fair472.3%
blue, brown, light422.0%
brown, dark, dark361.7%
blue, light, fair351.7%
grey, brown, dark331.6%
blue, dark, light311.5%
grey, light, fair311.5%
grey, brown, light301.5%
grey, dark, fair281.4%
hazel, brown, fair281.4%
blue, brown, dark261.3%
blue, dark, fair261.3%
grey, dark, light261.3%
hazel, light, light251.2%
light, light, light221.1%
grey, black, dark211.0%
hazel, black, dark201.0%
hazel, brown, light180.9%
blue, sandy, fair170.8%
hazel, dark, fair170.8%
hazel, brown, dark150.7%
brown, brown, dark130.6%
dark, black, dark130.6%
black, black, dark120.6%
blue, black, dark110.5%
hazel, dark, light110.5%
hazel, light, fair110.5%
dark, dark, light100.5%
blue, brown, florid90.4%
blue, grey, light90.4%
brown, black, dark90.4%
brown, brown, fair90.4%
brown, dark, light90.4%
blue, light, dark80.4%
blue, grey, dark70.3%
blue, sandy, florid70.3%
blue, sandy, light70.3%
light, dark, light70.3%
blue, black, fair60.3%
grey, grey, light60.3%
blue, light brown, light50.2%
blue, light, florid50.2%
grey, black, light50.2%
grey, brown, florid50.2%
grey, brown, ruddy50.2%
grey, dark, florid50.2%
grey, light, dark50.2%
hazel, sandy, fair50.2%
hazel, sandy, florid50.2%
black, dark, dark40.2%
brown, brown, light40.2%
brown, dark, fair40.2%
brown, light, light40.2%
dark, dark, fair40.2%
grey, black, fair40.2%
grey, red, light40.2%
grey, sandy, fair40.2%
grey, sandy, light40.2%
hazel, black, fair40.2%
hazel, grey, light40.2%
black, brown, dark30.1%
blue, auburn, light30.1%
blue, grey, fair30.1%
brown, grey, dark30.1%
dark, brown, dark30.1%
dark, brown, light30.1%
dark, grey, dark30.1%
grey, light brown, light30.1%
grey, sandy, sandy30.1%
hazel, brown, florid30.1%
hazel, grey, dark30.1%
light, dark, dark30.1%
light, light, fair30.1%
light, sandy, sandy30.1%
[unknown], dark, dark20.1%
black, black, light20.1%
blue, black, florid20.1%
blue, brown, brown20.1%
blue, brown, medium20.1%
blue, brown, sandy20.1%
blue, chestnut, dark20.1%
blue, dark brown, light20.1%
blue, dark, florid20.1%
blue, light, ruddy20.1%
blue, red, light20.1%
brown, light, fair20.1%
brown, red, light20.1%
dark, brown, fair20.1%
dark, dark, hazel20.1%
dark, light, dark20.1%
dark, light, light20.1%
gray, dark, dark20.1%
grey, auburn, fair20.1%
grey, black, brown20.1%
grey, chestnut, light20.1%
grey, dark brown, dark20.1%
grey, dark, ruddy20.1%
grey, grey, dark20.1%
grey, grey, fair20.1%
grey, light, florid20.1%
grey, mixed, dark20.1%
grey, sandy, dark20.1%
hazel, dark brown, light20.1%
hazel, dark, florid20.1%
hazel, dark, ruddy20.1%
hazel, dark, sandy20.1%
hazel, sandy, dark20.1%
hazel, sandy, light20.1%
light blue, dark brown, fair20.1%
light, light, dark20.1%
[unknown], fair, florid10.0%
black, brown, fair10.0%
black, grey, dark10.0%
black, light, fair10.0%
black, light, light10.0%
black, lightish, dark10.0%
blue grey, brown, fair10.0%
blue, auburn, fair10.0%
blue, auburn, sandy10.0%
blue, black, light10.0%
blue, black, sallow10.0%
blue, chestnut, light10.0%
blue, dark auburn, light10.0%
blue, dark, ruddy10.0%
blue, dark, sandy10.0%
blue, fair, fair10.0%
blue, fair, light10.0%
blue, grey, florid10.0%
blue, light, [unknown]10.0%
blue, light, brown10.0%
blue, light, fresh10.0%
blue, light, sandy10.0%
blue, mixed, dark10.0%
blue, mixed, fair10.0%
blue, red, fair10.0%
blue, red, ruddy10.0%
blue, sandy, dark10.0%
blue, sandy, ruddy10.0%
blue, sandy, sandy10.0%
brown, [unknown], fair10.0%
brown, brown, florid10.0%
brown, dark, grey10.0%
brown, dark, sallow10.0%
brown, grey, sallow10.0%
dark blue, black, dark10.0%
dark blue, brown, dark10.0%
dark grey, black mixed, fair10.0%
dark, brown, blue10.0%
dark, dark, black10.0%
dark, dark, blue10.0%
dark, dark, florid10.0%
dark, dark, grey10.0%
dark, dark, medium10.0%
dark, florid, hazel10.0%
dark, grey, light10.0%
dark, light, fair10.0%
dark, light, florid10.0%
fair, light, fair10.0%
gray, brown, fair10.0%
grey, auburn, light10.0%
grey, black, [unknown]10.0%
grey, black, florid10.0%
grey, dark grey, dark10.0%
grey, dark, brown10.0%
grey, dark, darkish10.0%
grey, dark, sandy10.0%
grey, fair, dark10.0%
grey, grey, sallow10.0%
grey, light brown, dark10.0%
grey, light, fresh10.0%
grey, light, mixed10.0%
grey, light, ruddy10.0%
grey, lt brown, fair10.0%
grey, red, dark10.0%
grey, red, fair10.0%
grey, sandy, florid10.0%
grey, white, dark10.0%
hazel, auburn, dark10.0%
hazel, brown, ruddy10.0%
hazel, dark brown, dark10.0%
hazel, dark brown, ruddy10.0%
hazel, grey, fair10.0%
hazel, light brown, light10.0%
hazel, light, dark10.0%
hazel, red, fair10.0%
hazel, sandy, sandy10.0%
light brown, brown, dark10.0%
light, brown, light10.0%
light, dark, fair10.0%
light, light grey, light10.0%
light, light, sandy10.0%
red, hazel, fair10.0%

Personal name, in frequency order

John33316.2%
William26512.9%
James1356.6%
George1326.4%
Charles964.7%
Thomas783.8%
Henry773.7%
Joseph703.4%
Samuel592.9%
David512.5%
Robert391.9%
Edward371.8%
Daniel351.7%
Patrick341.6%
Jacob291.4%
Francis271.3%
Michael271.3%
Alexander190.9%
Andrew190.9%
Isaac190.9%
Peter180.9%
Benjamin160.8%
Frederick160.8%
Albert120.6%
Lewis110.5%
Philip110.5%
Richard110.5%
Adam100.5%
Franklin100.5%
Amos90.4%
Christian80.4%
Martin80.4%
Matthew80.4%
Stephen80.4%
Edwin70.3%
Jeremiah70.3%
Louis70.3%
Aaron60.3%
Elias60.3%
Hugh60.3%
Reuben60.3%
Sylvester60.3%
Theodore50.2%
Abraham40.2%
Alfred40.2%
Augustus40.2%
Bernard40.2%
Elisha40.2%
Emanuel40.2%
Hiram40.2%
Howard40.2%
Jesse40.2%
Morris40.2%
Nicholas40.2%
Oscar40.2%
Simon40.2%
Anthony30.1%
Archibald30.1%
Barney30.1%
Cornelius30.1%
Herman30.1%
Israel30.1%
Josiah30.1%
Lawrence30.1%
Owen30.1%
Zachariah30.1%
Abel20.1%
Abner20.1%
Absalom20.1%
Annanias20.1%
Calvin20.1%
Carl20.1%
Conrad20.1%
Dennis20.1%
Edgar20.1%
Eli20.1%
Enoch20.1%
Ephraim20.1%
Eugene20.1%
Frank20.1%
Harrison20.1%
Harry20.1%
Hezekiah20.1%
Isaiah20.1%
Jefferson20.1%
Jerome20.1%
Jonathan20.1%
Joshua20.1%
Marcus20.1%
Mark20.1%
Matthias20.1%
Monroe20.1%
Newton20.1%
Noah20.1%
Ralph20.1%
Sebastian20.1%
Silas20.1%
Solomon20.1%
Valentine20.1%
Washington20.1%
Adolph10.0%
Adolphus10.0%
Adrian10.0%
Alem10.0%
Alma10.0%
Aloysius10.0%
Alpheus10.0%
Alva10.0%
Alvin10.0%
Ambrose10.0%
Analzo10.0%
Ansel10.0%
Antonia10.0%
Antonie10.0%
Arthur10.0%
Asa10.0%
Asher10.0%
Ashman10.0%
Augustine10.0%
Barnard10.0%
Barnett10.0%
Bartholomew10.0%
Bartly10.0%
Benneville10.0%
Bently10.0%
Casper10.0%
Chester10.0%
Cornell10.0%
Cyrus10.0%
Deitrick10.0%
Dennison10.0%
Dilman10.0%
Donald10.0%
Elbert10.0%
Elliott10.0%
Emmor10.0%
Enos10.0%
Foman10.0%
Freeman10.0%
Garrett10.0%
Gerhard10.0%
Godfried10.0%
Gottlieb10.0%
Griffith10.0%
Gustavus10.0%
H10.0%
Hamilton10.0%
Harold10.0%
Harvey10.0%
Hazlett10.0%
Herbert10.0%
Homer10.0%
Horace10.0%
Hosea10.0%
Howell10.0%
Isaacher10.0%
J10.0%
Jackson10.0%
Japhet10.0%
Jean10.0%
Jennings10.0%
Jerret10.0%
Jerry10.0%
Jervis10.0%
Job10.0%
Joel10.0%
Johnson10.0%
Jones10.0%
Justus10.0%
Kersey10.0%
Kingsley10.0%
Leroy10.0%
Levi10.0%
Lorenzo10.0%
Luke10.0%
Mahlon10.0%
Malachi10.0%
Mansfield10.0%
Marks10.0%
Maurice10.0%
Maxillus10.0%
Mayberry10.0%
Meriners10.0%
Merritt10.0%
Miles10.0%
Milton10.0%
Montgomery10.0%
Mordecai10.0%
Morrison10.0%
Nathan10.0%
Neil10.0%
Nesbit10.0%
Norman10.0%
Oliver10.0%
Orlando10.0%
Osborn10.0%
Otho10.0%
Otto10.0%
Paul10.0%
Penrose10.0%
Preston10.0%
Randolph10.0%
Rinard10.0%
Rudolph10.0%
Salathiel10.0%
Sanford10.0%
Sephronas10.0%
Simeon10.0%
Skelton10.0%
Steven10.0%
Theophilus10.0%
Tobias10.0%
Wade10.0%
Walter10.0%
Wilbur10.0%
Wilfred10.0%
Winchester10.0%
Xopher10.0%

Personal name

Aaron60.3%
Abel20.1%
Abner20.1%
Abraham40.2%
Absalom20.1%
Adam100.5%
Adolph10.0%
Adolphus10.0%
Adrian10.0%
Albert120.6%
Alem10.0%
Alexander190.9%
Alfred40.2%
Alma10.0%
Aloysius10.0%
Alpheus10.0%
Alva10.0%
Alvin10.0%
Ambrose10.0%
Amos90.4%
Analzo10.0%
Andrew190.9%
Annanias20.1%
Ansel10.0%
Anthony30.1%
Antonia10.0%
Antonie10.0%
Archibald30.1%
Arthur10.0%
Asa10.0%
Asher10.0%
Ashman10.0%
Augustine10.0%
Augustus40.2%
Barnard10.0%
Barnett10.0%
Barney30.1%
Bartholomew10.0%
Bartly10.0%
Benjamin160.8%
Benneville10.0%
Bently10.0%
Bernard40.2%
Calvin20.1%
Carl20.1%
Casper10.0%
Charles964.7%
Chester10.0%
Christian80.4%
Conrad20.1%
Cornelius30.1%
Cornell10.0%
Cyrus10.0%
Daniel351.7%
David512.5%
Deitrick10.0%
Dennis20.1%
Dennison10.0%
Dilman10.0%
Donald10.0%
Edgar20.1%
Edward371.8%
Edwin70.3%
Elbert10.0%
Eli20.1%
Elias60.3%
Elisha40.2%
Elliott10.0%
Emanuel40.2%
Emmor10.0%
Enoch20.1%
Enos10.0%
Ephraim20.1%
Eugene20.1%
Foman10.0%
Francis271.3%
Frank20.1%
Franklin100.5%
Frederick160.8%
Freeman10.0%
Garrett10.0%
George1326.4%
Gerhard10.0%
Godfried10.0%
Gottlieb10.0%
Griffith10.0%
Gustavus10.0%
H10.0%
Hamilton10.0%
Harold10.0%
Harrison20.1%
Harry20.1%
Harvey10.0%
Hazlett10.0%
Henry773.7%
Herbert10.0%
Herman30.1%
Hezekiah20.1%
Hiram40.2%
Homer10.0%
Horace10.0%
Hosea10.0%
Howard40.2%
Howell10.0%
Hugh60.3%
Isaac190.9%
Isaacher10.0%
Isaiah20.1%
Israel30.1%
J10.0%
Jackson10.0%
Jacob291.4%
James1356.6%
Japhet10.0%
Jean10.0%
Jefferson20.1%
Jennings10.0%
Jeremiah70.3%
Jerome20.1%
Jerret10.0%
Jerry10.0%
Jervis10.0%
Jesse40.2%
Job10.0%
Joel10.0%
John33316.2%
Johnson10.0%
Jonathan20.1%
Jones10.0%
Joseph703.4%
Joshua20.1%
Josiah30.1%
Justus10.0%
Kersey10.0%
Kingsley10.0%
Lawrence30.1%
Leroy10.0%
Levi10.0%
Lewis110.5%
Lorenzo10.0%
Louis70.3%
Luke10.0%
Mahlon10.0%
Malachi10.0%
Mansfield10.0%
Marcus20.1%
Mark20.1%
Marks10.0%
Martin80.4%
Matthew80.4%
Matthias20.1%
Maurice10.0%
Maxillus10.0%
Mayberry10.0%
Meriners10.0%
Merritt10.0%
Michael271.3%
Miles10.0%
Milton10.0%
Monroe20.1%
Montgomery10.0%
Mordecai10.0%
Morris40.2%
Morrison10.0%
Nathan10.0%
Neil10.0%
Nesbit10.0%
Newton20.1%
Nicholas40.2%
Noah20.1%
Norman10.0%
Oliver10.0%
Orlando10.0%
Osborn10.0%
Oscar40.2%
Otho10.0%
Otto10.0%
Owen30.1%
Patrick341.6%
Paul10.0%
Penrose10.0%
Peter180.9%
Philip110.5%
Preston10.0%
Ralph20.1%
Randolph10.0%
Reuben60.3%
Richard110.5%
Rinard10.0%
Robert391.9%
Rudolph10.0%
Salathiel10.0%
Samuel592.9%
Sanford10.0%
Sebastian20.1%
Sephronas10.0%
Silas20.1%
Simeon10.0%
Simon40.2%
Skelton10.0%
Solomon20.1%
Stephen80.4%
Steven10.0%
Sylvester60.3%
Theodore50.2%
Theophilus10.0%
Thomas783.8%
Tobias10.0%
Valentine20.1%
Wade10.0%
Walter10.0%
Washington20.1%
Wilbur10.0%
Wilfred10.0%
William26512.9%
Winchester10.0%
Xopher10.0%
Zachariah30.1%

Hair color

dark55233.8%
[unknown]427 %
light39824.4%
brown39023.9%
black1167.1%
sandy664.0%
grey482.9%
red130.8%
dark brown100.6%
light brown100.6%
auburn90.6%
chestnut50.3%
fair40.2%
mixed40.2%
black mixed10.1%
dark auburn10.1%
dark grey10.1%
florid10.1%
hazel10.1%
light grey10.1%
lightish10.1%
lt brown10.1%
white10.1%

Height (in inches), in frequency order

[unknown]428 %
66.016510.1%
68.016510.1%
67.01519.2%
65.01096.7%
69.01036.3%
64.0915.6%
70.0845.1%
67.5804.9%
66.5674.1%
65.5664.0%
68.5654.0%
64.5533.2%
71.0342.1%
72.0332.0%
69.5322.0%
63.0311.9%
70.5301.8%
63.5241.5%
71.5171.0%
66.75150.9%
64.75150.9%
67.75130.8%
66.25120.7%
60.0120.7%
65.75110.7%
65.25110.7%
62.5110.7%
68.75100.6%
67.2590.6%
62.090.6%
63.7580.5%
73.070.4%
68.2560.4%
63.2560.4%
74.050.3%
61.550.3%
73.540.2%
64.2540.2%
69.2540.2%
62.7540.2%
61.7540.2%
62.2530.2%
65.87520.1%
75.020.1%
59.62520.1%
62.62520.1%
61.12520.1%
64.87520.1%
65.12520.1%
70.7520.1%
60.7520.1%
60.520.1%
72.7520.1%
68.12520.1%
66.12520.1%
69.87510.1%
68.37510.1%
64.37510.1%
75.62510.1%
67.37510.1%
72.510.1%
60.87510.1%
65.37510.1%
61.010.1%
75.2510.1%
69.7510.1%
55.510.1%
59.7510.1%
66.37510.1%
67.12510.1%
64.62510.1%
69.12510.1%
53.010.1%
59.010.1%

Height (in inches)

53.010.1%
55.510.1%
59.010.1%
59.62520.1%
59.7510.1%
60.0120.7%
60.520.1%
60.7520.1%
60.87510.1%
61.010.1%
61.12520.1%
61.550.3%
61.7540.2%
62.090.6%
62.2530.2%
62.5110.7%
62.62520.1%
62.7540.2%
63.0311.9%
63.2560.4%
63.5241.5%
63.7580.5%
64.0915.6%
64.2540.2%
64.37510.1%
64.5533.2%
64.62510.1%
64.75150.9%
64.87520.1%
65.01096.7%
65.12520.1%
65.25110.7%
65.37510.1%
65.5664.0%
65.75110.7%
65.87520.1%
66.016510.1%
66.12520.1%
66.25120.7%
66.37510.1%
66.5674.1%
66.75150.9%
67.01519.2%
67.12510.1%
67.2590.6%
67.37510.1%
67.5804.9%
67.75130.8%
68.016510.1%
68.12520.1%
68.2560.4%
68.37510.1%
68.5654.0%
68.75100.6%
69.01036.3%
69.12510.1%
69.2540.2%
69.5322.0%
69.7510.1%
69.87510.1%
70.0845.1%
70.5301.8%
70.7520.1%
71.0342.1%
71.5171.0%
72.0332.0%
72.510.1%
72.7520.1%
73.070.4%
73.540.2%
74.050.3%
75.020.1%
75.2510.1%
75.62510.1%
[unknown]428 %

Height (in inches), summary

based on 1633 instances
minimum53.0 inches
maximum75.625 inches
median67.0 inches
mode66.0 / 68.0: 165 instances
mean66.9 inches
standard deviation2.52

Height (volunteers only)

based on 1118 instances
minimum53.0 inches
maximum75.625 inches
median67.0 inches
mode66.0: 122 instances
mean66.9 inches
standard deviation2.53

Height (drafted men only)

based on 218 instances
minimum61.5 inches
maximum73.0 inches
median67.75 inches
mode67.0 / 68.0 / 70.0: 27 instances
mean67.5 inches
standard deviation2.19

Height (substitutes only)

based on 296 instances
minimum60.5 inches
maximum75.25 inches
median66.5 inches
mode68.0: 33 instances
mean66.6 inches
standard deviation2.61

Occupation, in frequency order

64531.3%
laborer30915.0%
farmer1798.7%
clerk783.8%
carpenter582.8%
shoemaker412.0%
boatman341.6%
butcher341.6%
painter301.5%
weaver301.5%
teamster281.4%
sailor231.1%
machinist211.0%
printer211.0%
blacksmith201.0%
moulder201.0%
seaman201.0%
glass blower180.9%
miner180.9%
baker160.8%
tailor160.8%
gardener130.6%
bricklayer120.6%
cigarmaker120.6%
brickmaker110.5%
waterman100.5%
cooper90.4%
miller90.4%
bookbinder80.4%
fisherman80.4%
mason70.3%
hatter60.3%
paperhanger60.3%
ship carpenter60.3%
tinsmith60.3%
cabinet maker50.2%
confectioner50.2%
cordwainer50.2%
engineer50.2%
hostler50.2%
huckster50.2%
plasterer50.2%
soldier50.2%
stone cutter50.2%
wheelwright50.2%
grocer40.2%
jeweller40.2%
saddler40.2%
salesman40.2%
stone mason40.2%
basketmaker30.1%
bottler30.1%
broommaker30.1%
chairmaker30.1%
coachmaker30.1%
conductor30.1%
dealer30.1%
driver30.1%
druggist30.1%
drummer30.1%
harness maker30.1%
merchant30.1%
roller30.1%
roofer30.1%
soapmaker30.1%
tobacconist30.1%
turner30.1%
type founder30.1%
varnisher30.1%
wagonmaker30.1%
bookkeeper20.1%
bootmaker20.1%
boxmaker20.1%
brass turner20.1%
brickmoulder20.1%
brush maker20.1%
carter20.1%
currier20.1%
fireman20.1%
gilder20.1%
grinder20.1%
innkeeper20.1%
morocco finisher20.1%
nailor20.1%
peddler20.1%
plumber20.1%
railroad worker20.1%
saw grinder20.1%
shipbuilder20.1%
student20.1%
tanner20.1%
vendor20.1%
watchmaker20.1%
whipmaker20.1%
agent10.0%
axemaker10.0%
bar keeper10.0%
barman10.0%
blind maker10.0%
boat builder10.0%
boilermaker10.0%
bonnet presser10.0%
bonnetboard maker10.0%
book finisher10.0%
boot fitter10.0%
bootfitter10.0%
brakeman10.0%
brass moulder10.0%
breakman10.0%
brewer10.0%
builder10.0%
cabinetmaker10.0%
carder10.0%
carman10.0%
carriage trimmer10.0%
case maker10.0%
cigar maker10.0%
coach trim10.0%
coachman10.0%
coal heaver10.0%
collier10.0%
colourer10.0%
combmaker10.0%
confectionary10.0%
dentist10.0%
dipper10.0%
drayman10.0%
drill master10.0%
dyer10.0%
engraver10.0%
fancy woolen worker10.0%
fifer10.0%
gas finisher10.0%
gentleman10.0%
guilder10.0%
gunsmith10.0%
hairdresser10.0%
heater10.0%
helper10.0%
hopper10.0%
hose maker10.0%
hotel keeper10.0%
ironworker10.0%
ivory turner10.0%
last maker10.0%
leacher10.0%
lead pounder10.0%
leatherworker10.0%
lithographer10.0%
locksmith10.0%
longshoreman10.0%
lumberman10.0%
manufacturer10.0%
marble cutter10.0%
mechanic10.0%
mill sawyer10.0%
milliner10.0%
millwright10.0%
morocco dresser10.0%
newsboy10.0%
night watchman10.0%
operator10.0%
paper dealer10.0%
paper folder10.0%
photographer10.0%
polisher10.0%
porter10.0%
preacher10.0%
pumpmaker10.0%
quarry[worker?]10.0%
railroad employee10.0%
sargent10.0%
scourer10.0%
sheet iron worker10.0%
shoecutter10.0%
silversmith10.0%
smith10.0%
spinner10.0%
spinster10.0%
stock dealer10.0%
storeboy10.0%
storekeeper10.0%
stove maker10.0%
sugar refiner10.0%
surveyor10.0%
teacher10.0%
telegraph operator10.0%
toothmaker10.0%
trucker10.0%
unemployed10.0%
veteran10.0%
warehouseman10.0%
wire worker10.0%
wood cutter10.0%
workman10.0%

Occupation

64531.3%
agent10.0%
axemaker10.0%
baker160.8%
bar keeper10.0%
barman10.0%
basketmaker30.1%
blacksmith201.0%
blind maker10.0%
boat builder10.0%
boatman341.6%
boilermaker10.0%
bonnet presser10.0%
bonnetboard maker10.0%
book finisher10.0%
bookbinder80.4%
bookkeeper20.1%
boot fitter10.0%
bootfitter10.0%
bootmaker20.1%
bottler30.1%
boxmaker20.1%
brakeman10.0%
brass moulder10.0%
brass turner20.1%
breakman10.0%
brewer10.0%
bricklayer120.6%
brickmaker110.5%
brickmoulder20.1%
broommaker30.1%
brush maker20.1%
builder10.0%
butcher341.6%
cabinet maker50.2%
cabinetmaker10.0%
carder10.0%
carman10.0%
carpenter582.8%
carriage trimmer10.0%
carter20.1%
case maker10.0%
chairmaker30.1%
cigar maker10.0%
cigarmaker120.6%
clerk783.8%
coach trim10.0%
coachmaker30.1%
coachman10.0%
coal heaver10.0%
collier10.0%
colourer10.0%
combmaker10.0%
conductor30.1%
confectionary10.0%
confectioner50.2%
cooper90.4%
cordwainer50.2%
currier20.1%
dealer30.1%
dentist10.0%
dipper10.0%
drayman10.0%
drill master10.0%
driver30.1%
druggist30.1%
drummer30.1%
dyer10.0%
engineer50.2%
engraver10.0%
fancy woolen worker10.0%
farmer1798.7%
fifer10.0%
fireman20.1%
fisherman80.4%
gardener130.6%
gas finisher10.0%
gentleman10.0%
gilder20.1%
glass blower180.9%
grinder20.1%
grocer40.2%
guilder10.0%
gunsmith10.0%
hairdresser10.0%
harness maker30.1%
hatter60.3%
heater10.0%
helper10.0%
hopper10.0%
hose maker10.0%
hostler50.2%
hotel keeper10.0%
huckster50.2%
innkeeper20.1%
ironworker10.0%
ivory turner10.0%
jeweller40.2%
laborer30915.0%
last maker10.0%
leacher10.0%
lead pounder10.0%
leatherworker10.0%
lithographer10.0%
locksmith10.0%
longshoreman10.0%
lumberman10.0%
machinist211.0%
manufacturer10.0%
marble cutter10.0%
mason70.3%
mechanic10.0%
merchant30.1%
mill sawyer10.0%
miller90.4%
milliner10.0%
millwright10.0%
miner180.9%
morocco dresser10.0%
morocco finisher20.1%
moulder201.0%
nailor20.1%
newsboy10.0%
night watchman10.0%
operator10.0%
painter301.5%
paper dealer10.0%
paper folder10.0%
paperhanger60.3%
peddler20.1%
photographer10.0%
plasterer50.2%
plumber20.1%
polisher10.0%
porter10.0%
preacher10.0%
printer211.0%
pumpmaker10.0%
quarry[worker?]10.0%
railroad employee10.0%
railroad worker20.1%
roller30.1%
roofer30.1%
saddler40.2%
sailor231.1%
salesman40.2%
sargent10.0%
saw grinder20.1%
scourer10.0%
seaman201.0%
sheet iron worker10.0%
ship carpenter60.3%
shipbuilder20.1%
shoecutter10.0%
shoemaker412.0%
silversmith10.0%
smith10.0%
soapmaker30.1%
soldier50.2%
spinner10.0%
spinster10.0%
stock dealer10.0%
stone cutter50.2%
stone mason40.2%
storeboy10.0%
storekeeper10.0%
stove maker10.0%
student20.1%
sugar refiner10.0%
surveyor10.0%
tailor160.8%
tanner20.1%
teacher10.0%
teamster281.4%
telegraph operator10.0%
tinsmith60.3%
tobacconist30.1%
toothmaker10.0%
trucker10.0%
turner30.1%
type founder30.1%
unemployed10.0%
varnisher30.1%
vendor20.1%
veteran10.0%
wagonmaker30.1%
warehouseman10.0%
watchmaker20.1%
waterman100.5%
weaver301.5%
wheelwright50.2%
whipmaker20.1%
wire worker10.0%
wood cutter10.0%
workman10.0%

Occupation class, in frequency order

[unknown]648 %
Artisans42830.3%
Manual laborers41629.4%
Semi-professionals and smaller proprietors38127.0%
Service and semi-skilled workers1077.6%
unknown class614.3%
Professionals and large proprietors161.1%
Not in labor force40.3%

Occupation at enlistment, HISCO class

00000: not in work force40.3%
03010: surveyor, general10.1%
06310: dentist, general20.1%
13000: teacher, level and subject unknown10.1%
14120: minister of religion10.1%
16310: photographer, general10.1%
17140: instrumentalist40.3%
21110: general manager10.1%
30000: clerical or related worker, specialization unknown785.6%
33110: bookkeeper, general20.1%
36000: transport conductor, specialisation unknown30.2%
38000: telephone or telegraph operator, specialization unknown10.1%
41025: working proprietor (wholesale or retail trade)80.6%
41030: working proprietor (retail trade)110.8%
43200: commercial travellor or manufacturing agent, specialisation unknown10.1%
45125: salesperson, wholesale or retail trade40.3%
45190: other salesmen, shop assistants, and demonstrators10.1%
45220: street vendor90.6%
45240: news vendor10.1%
51020: working proprietor (hotel and restaurant)30.2%
53250: bartender20.1%
53290: other waiters, bartenders, and related workers10.1%
57000: hairdresser, specialization unknown10.1%
58000: protective service workers, specialization unknown20.1%
58300: military, specialization unknown10.1%
58340: other military ranks50.4%
58940: watchman10.1%
61110: general farmer17912.8%
62460: horse worker50.4%
62700: nursery and garden workers, unspecified130.9%
63100: loggers, specialization unknown10.1%
63190: other loggers10.1%
64100: fisherman, deep-see or inland and coastal worker80.6%
70000: production and related workers, specialization unknown241.7%
71105: miner, general191.4%
71110: quarryman, general10.1%
71200: mineral and stone treaters, specialization unknown10.1%
72200: metal rolling-mill worker, specialization unknown30.2%
72420: metal pourer30.2%
72500: metal moulder or coremaker, specialization unknown211.5%
72725: wire drawer (hand or machine)10.1%
73210: sawyer, general10.1%
74220: cooker (chemical and related processes)30.2%
75135: fibre carder10.1%
75220: spinner, thread and yarn20.1%
75400: weaver, specialization unknown302.1%
75622: yarn, fabric, or garment dyer10.1%
76100: tanner or fellmonger, specialization unknown20.1%
76150: leather currier50.4%
77120: millwright100.7%
77200: sugar processor or refiner, specialization unknown20.1%
77310: butcher, general342.4%
77610: general baker161.1%
77660: confectionary maker60.4%
77810: brewer, general10.1%
78200: cigar-maker, specialization unknown120.9%
79100: tailor, specialization unknown161.1%
79310: hatter60.4%
79320: milliner, general10.1%
79390: other milliners and hat makers20.1%
80110: shoe-maker, general503.6%
80310: leather goods maker, general10.1%
80320: saddler and harness maker70.5%
80390: whip maker20.1%
81120: cabinetmaker80.6%
81190: other cabinetmaker10.1%
81920: coach-body builder30.2%
81925: cartwright80.6%
81930: cooper90.6%
81935: wooden pattern maker10.1%
81955: wooden furniture finisher30.2%
82020: stone cutter and finisher130.9%
83110: blacksmith211.5%
83320: lathe setter operator20.1%
83500: mechanical engineering technician, specialization unknown211.5%
83550: saw repairer and sharpener20.1%
83590: other metal grinders, polishers, and tool sharpeners10.1%
83920: gunsmith10.1%
83930: locksmith10.1%
83990: other blacksmiths, toolmakers, and machine-tool operators not elsewhere classified20.1%
84190: pumpmaker10.1%
84220: watch and clock assembler20.1%
84900: machinery fitter, machine assembler, ...10.1%
87105: plumber, general20.1%
87310: sheet-metal worker, general10.1%
87340: tinsmith60.4%
87350: boilersmith10.1%
88010: jeweller, general40.3%
88050: goldsmith and silversmith10.1%
89120: glass blower181.3%
89242: brick and tile moulder (hand or machine)130.9%
91513: bricklayer or stonemason40.3%
92100: printer, unknown specialization211.5%
92415: lithographer10.1%
92600: bookbinders and related workers, specialization unknown10.1%
92625: bookbinder80.6%
93120: building painter302.1%
94220: basketmaker30.2%
94230: brushmaker20.1%
94240: broommaker30.2%
94990: other production and related workers not elsewhere classified30.2%
95100: bricklayer or stonemason, specialization unknown120.9%
95300: roofer, specialization unknown30.2%
95410: carpenter, general584.1%
95440: wood shipwright20.1%
95450: wooden boatbuilder10.1%
95455: ship's carpenter60.4%
95510: plasterer, general50.4%
95910: housebuilder, general10.1%
95925: paper hanger60.4%
97120: loads and unloads ships' cargoes10.1%
97125: loader of ship, truck, wagon, or airplane10.1%
97152: packer, hand or machine30.2%
98135: seaman, able or ordinary433.1%
98190: other ratings and boatmen443.1%
98420: railway brakeman (freight train)10.1%
98620: animal-drawn vehicle driver (road)362.6%
99910: labourer31122.2%
[unknown]663 %

Occupation at enlistment, HISCO class (in frequency order)

[unknown]663 %
99910: labourer31122.2%
61110: general farmer17912.8%
30000: clerical or related worker, specialization unknown785.6%
95410: carpenter, general584.1%
80110: shoe-maker, general503.6%
98190: other ratings and boatmen443.1%
98135: seaman, able or ordinary433.1%
98620: animal-drawn vehicle driver (road)362.6%
77310: butcher, general342.4%
75400: weaver, specialization unknown302.1%
93120: building painter302.1%
70000: production and related workers, specialization unknown241.7%
72500: metal moulder or coremaker, specialization unknown211.5%
83110: blacksmith211.5%
83500: mechanical engineering technician, specialization unknown211.5%
92100: printer, unknown specialization211.5%
71105: miner, general191.4%
89120: glass blower181.3%
77610: general baker161.1%
79100: tailor, specialization unknown161.1%
62700: nursery and garden workers, unspecified130.9%
82020: stone cutter and finisher130.9%
89242: brick and tile moulder (hand or machine)130.9%
78200: cigar-maker, specialization unknown120.9%
95100: bricklayer or stonemason, specialization unknown120.9%
41030: working proprietor (retail trade)110.8%
77120: millwright100.7%
45220: street vendor90.6%
81930: cooper90.6%
41025: working proprietor (wholesale or retail trade)80.6%
64100: fisherman, deep-see or inland and coastal worker80.6%
81120: cabinetmaker80.6%
81925: cartwright80.6%
92625: bookbinder80.6%
80320: saddler and harness maker70.5%
77660: confectionary maker60.4%
79310: hatter60.4%
87340: tinsmith60.4%
95455: ship's carpenter60.4%
95925: paper hanger60.4%
58340: other military ranks50.4%
62460: horse worker50.4%
76150: leather currier50.4%
95510: plasterer, general50.4%
00000: not in work force40.3%
17140: instrumentalist40.3%
45125: salesperson, wholesale or retail trade40.3%
88010: jeweller, general40.3%
91513: bricklayer or stonemason40.3%
36000: transport conductor, specialisation unknown30.2%
51020: working proprietor (hotel and restaurant)30.2%
72200: metal rolling-mill worker, specialization unknown30.2%
72420: metal pourer30.2%
74220: cooker (chemical and related processes)30.2%
81920: coach-body builder30.2%
81955: wooden furniture finisher30.2%
94220: basketmaker30.2%
94240: broommaker30.2%
94990: other production and related workers not elsewhere classified30.2%
95300: roofer, specialization unknown30.2%
97152: packer, hand or machine30.2%
06310: dentist, general20.1%
33110: bookkeeper, general20.1%
53250: bartender20.1%
58000: protective service workers, specialization unknown20.1%
75220: spinner, thread and yarn20.1%
76100: tanner or fellmonger, specialization unknown20.1%
77200: sugar processor or refiner, specialization unknown20.1%
79390: other milliners and hat makers20.1%
80390: whip maker20.1%
83320: lathe setter operator20.1%
83550: saw repairer and sharpener20.1%
83990: other blacksmiths, toolmakers, and machine-tool operators not elsewhere classified20.1%
84220: watch and clock assembler20.1%
87105: plumber, general20.1%
94230: brushmaker20.1%
95440: wood shipwright20.1%
03010: surveyor, general10.1%
13000: teacher, level and subject unknown10.1%
14120: minister of religion10.1%
16310: photographer, general10.1%
21110: general manager10.1%
38000: telephone or telegraph operator, specialization unknown10.1%
43200: commercial travellor or manufacturing agent, specialisation unknown10.1%
45190: other salesmen, shop assistants, and demonstrators10.1%
45240: news vendor10.1%
53290: other waiters, bartenders, and related workers10.1%
57000: hairdresser, specialization unknown10.1%
58300: military, specialization unknown10.1%
58940: watchman10.1%
63100: loggers, specialization unknown10.1%
63190: other loggers10.1%
71110: quarryman, general10.1%
71200: mineral and stone treaters, specialization unknown10.1%
72725: wire drawer (hand or machine)10.1%
73210: sawyer, general10.1%
75135: fibre carder10.1%
75622: yarn, fabric, or garment dyer10.1%
77810: brewer, general10.1%
79320: milliner, general10.1%
80310: leather goods maker, general10.1%
81190: other cabinetmaker10.1%
81935: wooden pattern maker10.1%
83590: other metal grinders, polishers, and tool sharpeners10.1%
83920: gunsmith10.1%
83930: locksmith10.1%
84190: pumpmaker10.1%
84900: machinery fitter, machine assembler, ...10.1%
87310: sheet-metal worker, general10.1%
87350: boilersmith10.1%
88050: goldsmith and silversmith10.1%
92415: lithographer10.1%
92600: bookbinders and related workers, specialization unknown10.1%
95450: wooden boatbuilder10.1%
95910: housebuilder, general10.1%
97120: loads and unloads ships' cargoes10.1%
97125: loader of ship, truck, wagon, or airplane10.1%
98420: railway brakeman (freight train)10.1%

Occupation at enlistment, HISCO major class

[unknown]663 %
administrative and managerial workers10.1%
agricultural, animal husbandry and forestry workers, fisherman, and hunters20714.8%
clerical and related workers846.0%
not in work force40.3%
production and related workers, transport equipment operators, and laborers104174.5%
professional, technical, and related workers100.7%
sales workers352.5%
service workers161.1%

Occupation at enlistment, HISCO minor class

[unknown]663 %
labourers not elsewhere classified31122.2%
farmers17912.8%
transport equipment operators1248.9%
bricklayers, carpenters, and other construction workers946.7%
clerical and related workers, specialization unknown785.6%
food and beverage processors694.9%
shoemakers and leather goods makers604.3%
blacksmiths, toolmakers, and machine tool operators513.6%
spinners, weavers, knitters, dyers, and related workers342.4%
cabinetmakers and related woodworkers332.4%
glass formers, potters, and related workers312.2%
printers and related workers312.2%
painters302.1%
metal processors282.0%
tailors, dressmakers, sewers, upholsterers, and related workers251.8%
production and related workers, specialization unknown241.7%
miners, quarrymen, well drillers, and related workers211.5%
working proprietors (wholesale and retail trade)191.4%
agricultural and animal husbandry workers181.3%
salesmen, shop assistants, and related workers151.1%
stone cutters and carvers130.9%
tobacco preparers and tobacco product makers120.9%
production and related workers not elsewhere classified110.8%
plumbers, welders, sheet metal, and structural metal prepapers and erectors100.7%
protective service workers90.6%
fisherman, hunters, and related workers80.6%
tanners, fellmongers, and pelt dressers70.5%
jewellery and precious metal workers50.4%
material handling and related equipment operators, dockers, and freight handlers50.4%
composers and performing artists40.3%
machinery fitters, machine assemblers, and precision-instrument makers (except electrical)40.3%
not in work force40.3%
paper and paperboard products makers40.3%
chemical processors and related workers30.2%
cooks, waiters, bartenders, and related workers30.2%
transport conductors30.2%
working proprietors (catering, lodging, and leisure services)30.2%
bookkeepers, cashiers, and related workers20.1%
forestry workers20.1%
medical, dental, veterinary and related workers20.1%
architects, engineers, and related technicians10.1%
hairdressers, barbers, beauticians, and related workers10.1%
managers10.1%
sculptors, painters, photographers, and related creative artists10.1%
teachers10.1%
technical salesmen, commercial travellers, and manufacturing agents10.1%
telephone and telegraph operators10.1%
wood preparation workers and paper makers10.1%
workers in religion10.1%

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 %
laborer3210.0%
farmer206.3%
carpenter165.0%
painter144.4%
retired134.1%
soldier113.4%
[none]103.1%
gentleman103.1%
bricklayer72.2%
clerk61.9%
none61.9%
brickmaker51.6%
retired farmer51.6%
weaver51.6%
glass blower41.3%
salesman41.3%
shoemaker41.3%
butcher30.9%
gent30.9%
machinist30.9%
merchant30.9%
physician30.9%
plasterer30.9%
printer30.9%
tailor30.9%
wheelwright30.9%
20.6%
blacksmith20.6%
bookkeeper20.6%
driver20.6%
labourer20.6%
mason20.6%
mechanic20.6%
milk dealer20.6%
paperhanger20.6%
tinsmith20.6%
undertaker20.6%
U.S. Marshal10.3%
US soldier10.3%
agent10.3%
artist10.3%
attorney at law10.3%
baker10.3%
basketmaker10.3%
boatman10.3%
boilermaker10.3%
box making10.3%
brass finisher10.3%
brass turner10.3%
brick layer10.3%
brick manufacturer10.3%
brickmason10.3%
broom salesman10.3%
carpenter and inspector10.3%
carpet manufacturer10.3%
carter10.3%
chairmaker10.3%
chauffer10.3%
coach painter10.3%
collar maker10.3%
collector10.3%
combmaker10.3%
confectioner10.3%
constable10.3%
cooper10.3%
core maker10.3%
court crier10.3%
dealer10.3%
dentist10.3%
dyer10.3%
ex sergeant of police10.3%
fancy soapmaker10.3%
fireman10.3%
fisherman10.3%
foreman [illegible--'Railroad Worker Co' (??)]10.3%
freight agent10.3%
furniture salesman10.3%
gardener10.3%
gold melter US Mint10.3%
grave digger10.3%
grocer10.3%
hose maker10.3%
hotel keeper10.3%
huckster10.3%
in book store10.3%
in gas works10.3%
lamplighter10.3%
lampmaker10.3%
last maker10.3%
letter carrier10.3%
locksmith10.3%
manager10.3%
medical doctor10.3%
morocco dresser10.3%
morocco finisher10.3%
moulder10.3%
night watchman10.3%
nurse10.3%
park guard10.3%
potter10.3%
president of an insurance co.10.3%
retired city fireman10.3%
retired gardener10.3%
retired minister10.3%
retired shopman10.3%
retired stone mason10.3%
ropemaker10.3%
saddler10.3%
safe maker10.3%
sampler10.3%
saw grinder10.3%
saw maker10.3%
segar maker10.3%
ship builder10.3%
ship joiner10.3%
shipping clerk10.3%
sign painter10.3%
soap manufacturer10.3%
soldier US Army10.3%
soldier laborer10.3%
stairbuilder10.3%
steamfitter10.3%
stevedore10.3%
steward on steamer Republic10.3%
stone mason10.3%
sumaker [sc. shoemaker?]10.3%
superintendent at Masonic Temple10.3%
tin cutter10.3%
tin roofer10.3%
travelling salesman10.3%
type founder10.3%
type moulder10.3%
varnisher10.3%
volunteer10.3%
watchman10.3%
wharf builder10.3%

Reason for leaving, in frequency order

was mustered out with the regiment65432.1%
was discharged on surgeon's certificate of disability34016.7%
deserted29614.5%
was discharged by general order1597.8%
was absent when the regiment mustered out854.2%
was discharged when his term expired723.5%
died (killed in action)643.1%
was transferred to the Veterans' Reserve Corps623.0%
died (of illness)522.6%
died (of battle wounds)492.4%
enlisted but not on other records371.8%
was transferred291.4%
[unknown]26 %
was discharged by special order261.3%
was discharged because underage140.7%
was discharged100.5%
was absent on furlough when the regiment mustered out80.4%
was resigned80.4%
died (accidentally killed)70.3%
was discharged by habeas corpus70.3%
died (in Confederate prison)60.3%
died (probably of illness)60.3%
unknown50.2%
was dishonorably discharged by general court martial50.2%
was missing in action50.2%
was absent on detached duty when the regiment mustered out40.2%
was discharged to be promoted40.2%
died (by committing suicide)30.1%
died (by drowning)30.1%
was cashiered30.1%
was dismissed30.1%
was mustered out30.1%
was absent without leave when the regiment mustered out20.1%
disappears from records without explanation10.0%
rejected by Board of Medical Examiners10.0%
was discharged because overage10.0%
was dropped from rolls10.0%

Month of leaving the regiment, in frequency order

1865 July80839.2%
1865 June1135.5%
[unknown] [unknown]824.0%
1865 May753.6%
1862 December412.0%
1862 April401.9%
1865 March401.9%
1863 February371.8%
1864 June371.8%
1864 September361.7%
1862 August341.6%
1864 May331.6%
1861 December321.6%
1862 May321.6%
1863 January311.5%
1864 March311.5%
1863 July291.4%
1861 October281.4%
1862 September281.4%
1864 November281.4%
1865 April271.3%
1862 June261.3%
1863 May251.2%
1864 December251.2%
1862 March221.1%
1862 October211.0%
1863 March211.0%
1862 January201.0%
1861 November170.8%
1862 July170.8%
1864 February170.8%
1864 October170.8%
1864 August160.8%
1863 April150.7%
1863 June150.7%
1863 September150.7%
1864 July140.7%
1861 September130.6%
1863 November130.6%
1862 November120.6%
1863 December110.5%
1864 April110.5%
1864 January100.5%
1865 February100.5%
1862 February90.4%
1865 January90.4%
1863 August70.3%
1865 August40.2%
1863 October30.1%
1865 October20.1%
1865 December10.0%
1865 September10.0%

Deaths

did not die while in regiment187190.8%
died while in regiment1909.2%

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
minimum17 years
maximum96 years
median64 years
mode69 / 75: 32 instances
mean59.3 years
standard deviation59.31

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

based on 813 instances
minimum17 years
maximum96 years
median58 years
mode69: 25 instances
mean55.3 years
standard deviation55.32

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

based on 254 instances
minimum21 years
maximum94 years
median72.0 years
mode77: 13 instances
mean68.5 years
standard deviation68.61

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

based on 152 instances
minimum17 years
maximum96 years
median70.0 years
mode76: 12 instances
mean65.3 years
standard deviation65.4

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

based on 189 instances
minimum17 years
maximum49 years
median27 years
mode19 / 20: 14 instances
mean28.8 years
standard deviation28.88

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

based on 1030 instances
minimum18 years
maximum96 years
median68.0 years
mode69 / 75: 32 instances
mean64.9 years
standard deviation64.92

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

based on 647 instances
minimum19 years
maximum96 years
median65 years
mode69: 25 instances
mean62.0 years
standard deviation62.02

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

based on 242 instances
minimum21 years
maximum94 years
median73.5 years
mode77: 13 instances
mean70.3 years
standard deviation70.42

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

based on 141 instances
minimum18 years
maximum96 years
median71 years
mode76: 12 instances
mean68.5 years
standard deviation68.61

Desertions

never deserted169782.3%
deserted36417.7%

Number of known desertions

0169782.3%
134516.7%
2170.8%
320.1%

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 1861763.7%
28 February 1865723.5%
21 September 1864592.9%
24 March 1865371.8%
28 March 1865351.7%
23 March 1865311.5%
27 March 1865301.5%
23 September 1861251.2%
15 March 1865241.2%
17 September 1861241.2%
2 March 1865231.1%
22 March 1865231.1%
16 March 1865221.1%
7 October 1864211.0%
2 December 1861201.0%
21 August 1861190.9%
9 September 1861190.9%
18 September 1861180.9%
29 March 1865180.9%
11 March 1865170.8%
15 October 1861170.8%
21 March 1865170.8%
24 September 1861170.8%
25 September 1861170.8%
30 September 1861170.8%
7 October 1861170.8%
10 September 1861160.8%
20 November 1861150.7%
8 October 1861150.7%
10 October 1861140.7%
16 September 1861140.7%
3 October 1861140.7%
19 September 1861130.6%
27 August 1861130.6%
27 September 1861130.6%
4 December 1861130.6%
4 November 1861130.6%
19 November 1861120.6%
19 October 1861120.6%
2 September 1861120.6%
24 August 1861120.6%
25 March 1865120.6%
25 October 1861120.6%
1 October 1861110.5%
14 October 1861110.5%
16 November 1861110.5%
18 October 1861110.5%
23 August 1861110.5%
3 February 1864110.5%
4 February 1864110.5%
17 July 1863100.5%
2 October 1861100.5%
20 September 1861100.5%
21 October 1861100.5%
22 October 1861100.5%
26 January 1864100.5%
15 July 186390.4%
21 September 186190.4%
25 November 186190.4%
29 October 186190.4%
6 November 186190.4%
9 February 186490.4%
1 March 186480.4%
10 July 186380.4%
11 October 186180.4%
11 September 186180.4%
12 November 186180.4%
13 November 186180.4%
14 November 186180.4%
16 July 186380.4%
18 March 186580.4%
20 March 186580.4%
8 November 186180.4%
10 September 186370.3%
14 January 186470.3%
14 September 186170.3%
16 December 186170.3%
20 January 186470.3%
21 January 186470.3%
22 November 186170.3%
27 November 186170.3%
27 September 186470.3%
28 August 186170.3%
28 January 186470.3%
28 October 186170.3%
29 August 186170.3%
29 February 186470.3%
29 November 186170.3%
30 August 186170.3%
5 November 186170.3%
6 February 186470.3%
6 September 186170.3%
8 October 186470.3%
1 December 186160.3%
1 November 186160.3%
10 February 186460.3%
12 February 186460.3%
12 September 186260.3%
15 February 186460.3%
15 November 186160.3%
16 September 186260.3%
17 March 186560.3%
18 November 186160.3%
2 February 186460.3%
24 July 186360.3%
26 December 186160.3%
27 January 186460.3%
30 January 186460.3%
4 October 186160.3%
4 September 186160.3%
9 August 186160.3%
9 October 186160.3%
1 August 186350.2%
11 August 186250.2%
12 August 186250.2%
12 December 186150.2%
12 October 186150.2%
12 September 186150.2%
13 July 186350.2%
13 March 186550.2%
18 September 186250.2%
2 November 186150.2%
20 February 186450.2%
20 July 186350.2%
23 December 186150.2%
23 October 186150.2%
27 February 186550.2%
28 September 186150.2%
5 February 186450.2%
9 September 186350.2%
[unknown]5 %
10 September 186240.2%
11 December 186140.2%
11 November 186140.2%
13 February 186440.2%
13 September 186240.2%
14 March 186540.2%
16 October 186140.2%
17 January 186240.2%
17 May 186540.2%
17 October 186140.2%
18 July 186340.2%
20 January 186240.2%
21 November 186140.2%
22 August 186140.2%
24 February 186540.2%
24 October 186140.2%
25 February 186440.2%
26 November 186140.2%
30 March 186540.2%
7 August 186240.2%
8 February 186440.2%
9 December 186140.2%
9 January 186240.2%
9 September 186240.2%
1 September 186130.1%
10 December 186130.1%
10 October 186230.1%
11 March 186430.1%
11 September 186230.1%
12 January 186430.1%
13 February 186530.1%
13 September 186130.1%
15 January 186230.1%
15 March 186430.1%
15 September 186130.1%
16 August 186230.1%
16 March 186430.1%
18 February 186430.1%
19 August 186230.1%
2 August 186230.1%
2 March 186430.1%
2 September 186430.1%
20 December 186130.1%
22 January 186430.1%
23 August 186230.1%
23 January 186230.1%
24 September 186330.1%
26 August 186130.1%
26 October 186130.1%
27 February 186430.1%
28 November 186130.1%
3 December 186130.1%
3 September 186130.1%
30 July 186330.1%
30 November 186130.1%
30 October 186130.1%
4 August 186230.1%
5 October 186130.1%
6 August 186230.1%
7 April 186430.1%
7 November 186130.1%
8 March 186530.1%
9 March 186530.1%
9 November 186130.1%
1 August 186220.1%
1 January 186220.1%
1 June 186420.1%
10 March 186420.1%
10 March 186520.1%
11 January 186220.1%
12 March 186420.1%
12 November 186320.1%
13 January 186220.1%
14 February 186220.1%
14 March 186420.1%
15 October 186320.1%
16 February 186420.1%
18 December 186120.1%
18 January 186520.1%
18 March 186420.1%
19 September 186220.1%
2 August 186420.1%
2 January 186220.1%
2 September 186220.1%
20 August 186220.1%
21 December 186120.1%
21 January 186220.1%
21 November 186220.1%
22 July 186220.1%
22 July 186320.1%
22 March 186420.1%
23 February 186420.1%
24 February 186420.1%
24 January 186220.1%
24 November 186120.1%
25 February 186520.1%
25 January 186420.1%
25 March 186420.1%
26 February 186420.1%
26 September 186120.1%
27 August 186320.1%
27 March 186420.1%
28 December 186120.1%
29 August 186220.1%
29 January 186420.1%
29 July 186220.1%
3 July 186220.1%
3 September 186220.1%
31 August 186120.1%
31 August 186220.1%
31 August 186320.1%
31 March 186420.1%
31 October 186120.1%
4 March 186520.1%
4 September 186220.1%
5 August 186220.1%
5 January 186420.1%
5 September 186120.1%
5 September 186220.1%
6 December 186120.1%
6 February 186520.1%
6 March 186520.1%
6 September 186220.1%
7 December 186120.1%
7 January 186220.1%
7 March 186520.1%
8 January 186220.1%
9 August 186220.1%
1 April 186410.0%
1 February 186210.0%
1 January 186410.0%
1 March 186510.0%
10 February 186210.0%
10 January 186210.0%
10 January 186310.0%
10 January 186410.0%
10 March 186310.0%
10 November 186210.0%
10 November 186410.0%
11 December 186310.0%
11 February 186410.0%
11 July 186310.0%
11 November 186410.0%
11 September 186310.0%
12 August 186110.0%
12 August 186310.0%
12 January 186210.0%
12 June 186310.0%
12 October 186310.0%
13 August 186210.0%
13 February 186210.0%
13 January 186410.0%
13 March 186410.0%
13 November 186210.0%
13 October 186110.0%
13 October 186210.0%
13 October 186310.0%
13 September 186310.0%
14 April 186410.0%
14 February 186410.0%
14 January 186510.0%
14 July 186310.0%
14 July 186410.0%
14 November 186210.0%
14 November 186310.0%
14 October 186310.0%
15 December 186110.0%
15 February 186510.0%
15 January 186410.0%
15 July 186210.0%
15 September 186210.0%
15 September 186310.0%
16 August 186110.0%
16 February 186310.0%
16 January 186410.0%
16 July 186210.0%
17 December 186110.0%
17 November 186110.0%
17 September 186210.0%
18 January 186410.0%
18 June 186110.0%
18 June 186210.0%
19 August 186110.0%
19 February 186410.0%
19 January 186210.0%
19 January 186510.0%
19 July 186210.0%
19 June 186210.0%
19 March 186210.0%
19 March 186410.0%
19 September 186410.0%
2 August 186310.0%
2 December 186210.0%
2 February 186510.0%
2 March 186310.0%
2 October 186210.0%
20 March 186210.0%
20 October 186110.0%
20 September 186210.0%
20 September 186310.0%
21 February 186210.0%
21 February 186510.0%
21 January 186510.0%
21 July 186210.0%
21 June 186210.0%
21 November 186410.0%
22 February 186210.0%
22 February 186410.0%
22 February 186510.0%
22 July 186110.0%
22 May 186410.0%
22 September 186210.0%
23 April 186210.0%
23 August 186310.0%
23 February 186510.0%
23 July 186210.0%
23 July 186310.0%
23 June 186210.0%
23 June 186410.0%
23 November 186310.0%
23 September 186410.0%
24 December 186110.0%
24 July 186210.0%
24 March 186210.0%
24 November 186210.0%
25 December 186110.0%
26 August 186310.0%
26 July 186310.0%
26 March 186410.0%
27 August 186410.0%
27 December 186110.0%
27 January 186210.0%
27 July 186410.0%
27 June 186210.0%
27 October 186110.0%
28 August 186210.0%
28 August 186310.0%
28 February 186410.0%
28 May 186510.0%
28 September 186310.0%
28 September 186410.0%
29 April 186210.0%
29 January 186210.0%
29 June 186510.0%
29 March 186410.0%
3 April 186410.0%
3 April 186510.0%
3 February 186510.0%
3 January 186210.0%
3 June 186410.0%
3 March 186410.0%
3 May 186210.0%
30 August 186210.0%
30 August 186410.0%
30 January 186210.0%
30 July 186210.0%
30 July 186410.0%
31 January 186410.0%
31 January 186510.0%
31 July 186310.0%
4 January 186210.0%
4 July 186310.0%
4 June 186310.0%
4 October 186410.0%
5 April 186410.0%
5 December 186110.0%
5 November 186410.0%
5 September 186310.0%
6 November 186210.0%
6 October 186110.0%
7 March 186410.0%
8 July 186310.0%
8 September 186310.0%
9 December 186310.0%
9 January 186510.0%
9 July 186310.0%
9 September 186410.0%

Muster in day of week, in frequency order

Tuesday48123.4%
Wednesday38918.9%
Monday33016.1%
Thursday30414.8%
Friday30314.7%
Saturday21010.2%
Sunday391.9%
[unknown]5 %

Muster in month, in frequency order

1865 March33916.5%
1861 September27813.5%
1861 October23711.5%
1861 November1798.7%
1861 August1708.3%
1864 February1105.4%
1861 December954.6%
1865 February944.6%
1864 September733.6%
1864 January693.4%
1863 July683.3%
1862 September482.3%
1862 August472.3%
1862 January422.0%
1864 March422.0%
1864 October291.4%
1863 September221.1%
1863 August140.7%
1862 July130.6%
1862 February70.3%
1862 November70.3%
1864 April70.3%
1865 January70.3%
1862 June50.2%
1862 October50.2%
1863 October50.2%
1865 May50.2%
[unknown]5 %
1863 November40.2%
1864 August40.2%
1864 June40.2%
1864 November40.2%
1862 March30.1%
1864 July30.1%
1862 April20.1%
1863 December20.1%
1863 June20.1%
1863 March20.1%
1861 July10.0%
1861 June10.0%
1862 December10.0%
1862 May10.0%
1863 February10.0%
1863 January10.0%
1864 May10.0%
1865 April10.0%
1865 June10.0%

Muster in place, in frequency order

US, Pennsylvania, Philadelphia134168.5%
US, Pennsylvania, Franklin, Chambersburg20210.3%
[unknown]104 %
US, Pennsylvania, Montgomery, Norristown723.7%
US, Pennsylvania, Blair, Hollidaysburg583.0%
US, Pennsylvania, Chester, West Chester371.9%
US, Pennsylvania, Schuylkill, Pottsville301.5%
US, Pennsylvania, Allegheny, Pittsburgh291.5%
US, Pennsylvania, Lycoming, Williamsport261.3%
US, Pennsylvania, Philadelphia, Frankford201.0%
US, Pennsylvania, Dauphin, Harrisburg180.9%
US, Pennsylvania, Berks, Reading150.8%
US, Pennsylvania, Lancaster130.7%
US, Washington, District of Columbia130.7%
US, Pennsylvania, Westmoreland, Greensburg90.5%
US, Pennsylvania, Allegheny80.4%
US, Pennsylvania, Lackawanna, Scranton70.4%
US, Pennsylvania, Northampton, Easton70.4%
US, Pennsylvania, Northumberland, Milton60.3%
US, Virginia, [unknown], Alexandria60.3%
US, Pennsylvania, Crawford, Meadville50.3%
US, Pennsylvania, Monroe50.3%
US, Maryland, Baltimore20.1%
US, Pennsylvania, Allegheny, Allegheny City20.1%
US, Pennsylvania, Beaver, N Brinton20.1%
US, Pennsylvania, Beaver, New Brighton20.1%
US, Pennsylvania, Jefferson, Brookville20.1%
US, Virginia, Alexandria20.1%
US, Massachusetts, Hampden, Springfield10.1%
US, Massachusetts, Hampshire, East Hampton10.1%
US, New Jersey10.1%
US, New York, Cayuga, Auburn10.1%
US, New York, Oneida10.1%
US, Pennsylvania, Armstrong10.1%
US, Pennsylvania, Beaver, Brighton10.1%
US, Pennsylvania, Blair10.1%
US, Pennsylvania, Blair, Altoona10.1%
US, Pennsylvania, Bradford, Tonawanda10.1%
US, Pennsylvania, Butler10.1%
US, Pennsylvania, Chester, , West Chester10.1%
US, Pennsylvania, Cumberland, Carlisle10.1%
US, Pennsylvania, Westmoreland, Greensburgh10.1%
US, Pennsylvania, [unknown], Brinten10.1%
US, Pennsylvania, [unknown], Brownsboro10.1%
US, Virginia, Louisa, Gum Spring10.1%
US, Virginia, [unknown], Portsmouth10.1%

Time in regiment (in days)

0864.4%
170.4%
1020.1%
10030.2%
100010.1%
100320.1%
100830.2%
100910.1%
10110.1%
101110.1%
101210.1%
101320.1%
101620.1%
101720.1%
101820.1%
101910.1%
10250.3%
102010.1%
102110.1%
102410.1%
102520.1%
102620.1%
102720.1%
103100.5%
103010.1%
103110.1%
103220.1%
103310.1%
103410.1%
103610.1%
103710.1%
103820.1%
104241.2%
104310.1%
104410.1%
104710.1%
105191.0%
105220.1%
105510.1%
105610.1%
105920.1%
10640.2%
106210.1%
106330.2%
106620.1%
106820.1%
106920.1%
107110.6%
107310.1%
107810.1%
108281.4%
108210.1%
108310.1%
108620.1%
108910.1%
109271.4%
109110.1%
109510.1%
1096150.8%
109710.1%
109810.1%
109910.1%
1120.1%
110201.0%
110130.2%
110220.1%
110410.1%
110610.1%
110710.1%
110860.3%
110920.1%
111160.8%
111010.1%
111210.1%
111320.1%
111440.2%
111520.1%
111630.2%
111810.1%
111920.1%
112110.6%
112010.1%
112330.2%
112410.1%
112520.1%
112610.1%
112730.2%
112810.1%
112910.1%
11350.3%
113110.1%
113510.1%
113620.1%
113710.1%
113810.1%
11490.5%
114020.1%
114110.1%
114310.1%
114620.1%
114810.1%
11570.4%
115010.1%
115310.1%
115410.1%
115510.1%
116201.0%
116010.1%
116310.1%
116410.1%
116810.1%
117231.2%
117210.1%
117710.1%
11840.2%
118310.1%
118610.1%
11960.3%
119010.1%
119310.1%
1210.1%
120810.1%
121191.0%
121110.1%
121610.1%
121710.1%
12240.2%
122410.1%
122910.1%
12330.2%
12450.3%
124210.1%
12540.2%
12650.3%
126010.1%
126120.1%
126620.1%
126710.1%
12730.2%
127210.1%
127310.1%
127420.1%
127620.1%
127710.1%
12820.1%
128010.1%
128410.1%
128520.1%
12910.1%
129010.1%
129210.1%
129810.1%
129910.1%
1310.1%
130211.1%
130210.1%
130610.1%
130710.1%
130820.1%
130910.1%
13110.1%
131310.1%
131430.2%
131510.1%
131630.2%
131720.1%
131810.1%
131920.1%
132482.4%
132830.2%
132910.1%
13350.3%
133220.1%
133310.1%
133430.2%
133520.1%
133620.1%
13410.1%
134230.2%
134310.1%
134430.2%
134510.1%
134710.1%
134810.1%
13530.2%
135010.1%
135450.3%
135510.1%
135630.2%
135710.1%
13630.2%
136040.2%
136120.1%
136220.1%
136420.1%
136520.1%
136620.1%
136710.1%
136820.1%
136920.1%
13710.1%
137250.3%
137410.1%
137520.1%
137620.1%
137710.1%
137820.1%
137940.2%
13830.2%
138110.1%
138220.1%
138440.2%
138570.4%
138660.3%
138810.1%
138910.1%
13910.1%
139030.2%
139140.2%
139210.1%
139390.5%
139410.1%
139720.1%
139840.2%
139920.1%
1410.1%
140030.2%
140320.1%
140410.1%
140510.1%
140730.2%
140910.1%
14110.1%
141040.2%
141120.1%
141210.1%
141330.2%
141620.1%
141770.4%
141820.1%
141940.2%
14210.1%
1420191.0%
142810.1%
14320.1%
143150.3%
14430.2%
144210.1%
14530.2%
14610.1%
146110.1%
14740.2%
14960.3%
1510.1%
15020.1%
15120.1%
15220.1%
15310.1%
153010.1%
15420.1%
155110.1%
15610.1%
15710.1%
15820.1%
15910.1%
1610.1%
16030.2%
16130.2%
16230.2%
16310.1%
16530.2%
16610.1%
16710.1%
17020.1%
17120.1%
17240.2%
17320.1%
17420.1%
17540.2%
17610.1%
17710.1%
17820.1%
17920.1%
1810.1%
18030.2%
18230.2%
18330.2%
18620.1%
18710.1%
18820.1%
1930.2%
19010.1%
19130.2%
19310.1%
19510.1%
19640.2%
19710.1%
19810.1%
19910.1%
280.4%
2020.1%
20110.1%
20210.1%
20310.1%
20510.1%
20830.2%
20910.1%
2160.3%
21010.1%
21110.1%
21230.2%
21430.2%
21510.1%
21610.1%
21830.2%
21910.1%
2210.1%
22220.1%
22320.1%
22630.2%
2320.1%
23040.2%
23110.1%
23210.1%
23330.2%
23420.1%
23610.1%
23710.1%
23820.1%
23910.1%
2420.1%
24010.1%
24130.2%
24220.1%
24420.1%
24520.1%
246140.7%
24730.2%
24820.1%
24910.1%
2530.2%
25030.2%
25150.3%
252140.7%
253191.0%
25420.1%
25510.1%
25650.3%
25710.1%
25810.1%
26020.1%
26110.1%
26310.1%
26420.1%
26510.1%
26610.1%
26740.2%
2730.2%
27110.1%
27220.1%
27320.1%
27430.2%
27590.5%
276120.6%
27730.2%
27850.3%
27920.1%
2820.1%
28020.1%
28110.1%
28210.1%
28530.2%
28610.1%
2910.1%
29120.1%
29210.1%
29420.1%
29520.1%
29920.1%
330.2%
3020.1%
30220.1%
30410.1%
30510.1%
30720.1%
30940.2%
3120.1%
31020.1%
31120.1%
31310.1%
31510.1%
31720.1%
31810.1%
3220.1%
32010.1%
32310.1%
32410.1%
32510.1%
32710.1%
32810.1%
32940.2%
3320.1%
33020.1%
33220.1%
33320.1%
33510.1%
33830.2%
33910.1%
34310.1%
34510.1%
34620.1%
34820.1%
3510.1%
35010.1%
35310.1%
35410.1%
35810.1%
3640.2%
36010.1%
36110.1%
36510.1%
36610.1%
36710.1%
36810.1%
37210.1%
37510.1%
37810.1%
3830.2%
38020.1%
38120.1%
38240.2%
38310.1%
38610.1%
38920.1%
3910.1%
39110.1%
39210.1%
39310.1%
39810.1%
39910.1%
460.3%
4020.1%
40120.1%
40250.3%
40320.1%
40420.1%
40510.1%
40710.1%
4130.2%
41020.1%
41110.1%
41330.2%
41410.1%
41510.1%
41710.1%
41910.1%
4220.1%
42020.1%
42120.1%
42210.1%
42310.1%
42510.1%
42710.1%
42840.2%
42910.1%
4310.1%
43210.1%
43310.1%
43410.1%
43510.1%
43620.1%
43720.1%
43810.1%
43920.1%
4440.2%
44110.1%
44210.1%
44310.1%
44420.1%
44720.1%
44810.1%
44910.1%
4520.1%
45110.1%
45240.2%
45320.1%
45510.1%
45630.2%
45710.1%
45830.2%
45930.2%
4610.1%
46210.1%
46410.1%
46520.1%
46610.1%
46710.1%
46810.1%
46910.1%
4720.1%
47010.1%
47120.1%
47230.2%
47560.3%
47720.1%
47820.1%
47920.1%
4810.1%
48010.1%
48110.1%
48220.1%
48320.1%
48410.1%
48510.1%
48630.2%
48720.1%
48930.2%
49020.1%
49110.1%
49320.1%
49420.1%
49630.2%
49710.1%
49820.1%
49930.2%
550.3%
5010.1%
50030.2%
50120.1%
50230.2%
50330.2%
50630.2%
50730.2%
50820.1%
5110.1%
51030.2%
51140.2%
51230.2%
51350.3%
51410.1%
51510.1%
51610.1%
51760.3%
51850.3%
52030.2%
52120.1%
52250.3%
52350.3%
52460.3%
52520.1%
52610.1%
52710.1%
52820.1%
52950.3%
5310.1%
53070.4%
53190.5%
53510.1%
53670.4%
53740.2%
53820.1%
5460.3%
54020.1%
54130.2%
54330.2%
54420.1%
54550.3%
54910.1%
5520.1%
55110.1%
55230.2%
55630.2%
55920.1%
5610.1%
56010.1%
56220.1%
56310.1%
56510.1%
56710.1%
56810.1%
5730.2%
57110.1%
57220.1%
57310.1%
57710.1%
57920.1%
58130.2%
58210.1%
58710.1%
58810.1%
58920.1%
5910.1%
59020.1%
59210.1%
59320.1%
59410.1%
59510.1%
59630.2%
59710.1%
59820.1%
59910.1%
620.1%
6070.4%
60010.1%
60330.2%
60410.1%
60510.1%
60620.1%
60810.1%
6120.1%
61110.1%
61420.1%
6210.1%
62120.1%
62710.1%
62910.1%
6330.2%
63010.1%
63120.1%
63420.1%
63510.1%
63710.1%
6420.1%
64120.1%
64310.1%
64710.1%
64810.1%
64910.1%
6530.2%
65010.1%
65120.1%
65210.1%
65310.1%
65410.1%
65540.2%
65910.1%
6630.2%
66210.1%
66410.1%
66510.1%
66610.1%
66710.1%
66810.1%
66960.3%
6710.1%
67060.3%
67220.1%
67410.1%
67920.1%
6810.1%
68010.1%
68210.1%
68340.2%
68410.1%
68510.1%
68710.1%
68810.1%
69210.1%
69510.1%
69610.1%
69710.1%
69820.1%
740.2%
7010.1%
70010.1%
70320.1%
70810.1%
70970.4%
7110.1%
71130.2%
71210.1%
71320.1%
71510.1%
71760.3%
71810.1%
71920.1%
7210.1%
72150.3%
72210.1%
72350.3%
72490.5%
72530.2%
72680.4%
72710.1%
72850.3%
7330.2%
73010.1%
73180.4%
73310.1%
73410.1%
73710.1%
74210.1%
74410.1%
74510.1%
75010.1%
75130.2%
75910.1%
7610.1%
76010.1%
76510.1%
76610.1%
7710.1%
77310.1%
77710.1%
7810.1%
78910.1%
79420.1%
830.2%
8020.1%
80020.1%
80210.1%
80620.1%
8110.1%
81210.1%
81810.1%
8220.1%
82320.1%
82610.1%
8310.1%
83210.1%
83610.1%
84720.1%
84910.1%
8520.1%
85010.1%
85210.1%
85310.1%
85710.1%
8620.1%
86110.1%
86710.1%
8730.2%
87410.1%
87510.1%
87710.1%
87910.1%
8870.4%
88010.1%
88110.1%
88810.1%
8950.3%
89020.1%
89510.1%
89610.1%
9030.2%
90010.1%
90410.1%
90610.1%
90810.1%
9130.2%
91510.1%
9210.1%
92010.1%
92810.1%
9320.1%
93220.1%
93320.1%
93510.1%
93810.1%
9440.2%
94210.1%
94410.1%
94810.1%
94910.1%
9540.2%
95010.1%
95110.1%
95210.1%
95510.1%
95610.1%
9610.1%
96410.1%
96720.1%
9720.1%
97010.1%
97320.1%
97910.1%
9810.1%
98110.1%
98210.1%
98410.1%
98730.2%
99020.1%
99120.1%
99210.1%
[unknown]86 %

Time in regiment (in days), in frequency order

0864.4%
[unknown]86 %
132482.4%
108281.4%
109271.4%
104241.2%
117231.2%
130211.1%
110201.0%
116201.0%
105191.0%
121191.0%
1420191.0%
253191.0%
111160.8%
1096150.8%
246140.7%
252140.7%
276120.6%
107110.6%
112110.6%
103100.5%
11490.5%
139390.5%
27590.5%
53190.5%
72490.5%
280.4%
72680.4%
73180.4%
170.4%
11570.4%
138570.4%
141770.4%
53070.4%
53670.4%
6070.4%
70970.4%
8870.4%
110860.3%
11960.3%
138660.3%
14960.3%
2160.3%
460.3%
47560.3%
51760.3%
52460.3%
5460.3%
66960.3%
67060.3%
71760.3%
10250.3%
11350.3%
12450.3%
12650.3%
13350.3%
135450.3%
137250.3%
143150.3%
25150.3%
25650.3%
27850.3%
40250.3%
550.3%
51350.3%
51850.3%
52250.3%
52350.3%
52950.3%
54550.3%
72150.3%
72350.3%
72850.3%
8950.3%
10640.2%
111440.2%
11840.2%
12240.2%
12540.2%
136040.2%
137940.2%
138440.2%
139140.2%
139840.2%
141040.2%
141940.2%
14740.2%
17240.2%
17540.2%
19640.2%
23040.2%
26740.2%
30940.2%
32940.2%
3640.2%
38240.2%
42840.2%
4440.2%
45240.2%
51140.2%
53740.2%
65540.2%
68340.2%
740.2%
9440.2%
9540.2%
10030.2%
100830.2%
106330.2%
110130.2%
111630.2%
112330.2%
112730.2%
12330.2%
12730.2%
131430.2%
131630.2%
132830.2%
133430.2%
134230.2%
134430.2%
13530.2%
135630.2%
13630.2%
13830.2%
139030.2%
140030.2%
140730.2%
141330.2%
14430.2%
14530.2%
16030.2%
16130.2%
16230.2%
16530.2%
18030.2%
18230.2%
18330.2%
1930.2%
19130.2%
20830.2%
21230.2%
21430.2%
21830.2%
22630.2%
23330.2%
24130.2%
24730.2%
2530.2%
25030.2%
2730.2%
27430.2%
27730.2%
28530.2%
330.2%
33830.2%
3830.2%
4130.2%
41330.2%
45630.2%
45830.2%
45930.2%
47230.2%
48630.2%
48930.2%
49630.2%
49930.2%
50030.2%
50230.2%
50330.2%
50630.2%
50730.2%
51030.2%
51230.2%
52030.2%
54130.2%
54330.2%
55230.2%
55630.2%
5730.2%
58130.2%
59630.2%
60330.2%
6330.2%
6530.2%
6630.2%
71130.2%
72530.2%
7330.2%
75130.2%
830.2%
8730.2%
9030.2%
9130.2%
98730.2%
1020.1%
100320.1%
101320.1%
101620.1%
101720.1%
101820.1%
102520.1%
102620.1%
102720.1%
103220.1%
103820.1%
105220.1%
105920.1%
106620.1%
106820.1%
106920.1%
108620.1%
1120.1%
110220.1%
110920.1%
111320.1%
111520.1%
111920.1%
112520.1%
113620.1%
114020.1%
114620.1%
126120.1%
126620.1%
127420.1%
127620.1%
12820.1%
128520.1%
130820.1%
131720.1%
131920.1%
133220.1%
133520.1%
133620.1%
136120.1%
136220.1%
136420.1%
136520.1%
136620.1%
136820.1%
136920.1%
137520.1%
137620.1%
137820.1%
138220.1%
139720.1%
139920.1%
140320.1%
141120.1%
141620.1%
141820.1%
14320.1%
15020.1%
15120.1%
15220.1%
15420.1%
15820.1%
17020.1%
17120.1%
17320.1%
17420.1%
17820.1%
17920.1%
18620.1%
18820.1%
2020.1%
22220.1%
22320.1%
2320.1%
23420.1%
23820.1%
2420.1%
24220.1%
24420.1%
24520.1%
24820.1%
25420.1%
26020.1%
26420.1%
27220.1%
27320.1%
27920.1%
2820.1%
28020.1%
29120.1%
29420.1%
29520.1%
29920.1%
3020.1%
30220.1%
30720.1%
3120.1%
31020.1%
31120.1%
31720.1%
3220.1%
3320.1%
33020.1%
33220.1%
33320.1%
34620.1%
34820.1%
38020.1%
38120.1%
38920.1%
4020.1%
40120.1%
40320.1%
40420.1%
41020.1%
4220.1%
42020.1%
42120.1%
43620.1%
43720.1%
43920.1%
44420.1%
44720.1%
4520.1%
45320.1%
46520.1%
4720.1%
47120.1%
47720.1%
47820.1%
47920.1%
48220.1%
48320.1%
48720.1%
49020.1%
49320.1%
49420.1%
49820.1%
50120.1%
50820.1%
52120.1%
52520.1%
52820.1%
53820.1%
54020.1%
54420.1%
5520.1%
55920.1%
56220.1%
57220.1%
57920.1%
58920.1%
59020.1%
59320.1%
59820.1%
620.1%
60620.1%
6120.1%
61420.1%
62120.1%
63120.1%
63420.1%
6420.1%
64120.1%
65120.1%
67220.1%
67920.1%
69820.1%
70320.1%
71320.1%
71920.1%
79420.1%
8020.1%
80020.1%
80620.1%
8220.1%
82320.1%
84720.1%
8520.1%
8620.1%
89020.1%
9320.1%
93220.1%
93320.1%
96720.1%
9720.1%
97320.1%
99020.1%
99120.1%
100010.1%
100910.1%
10110.1%
101110.1%
101210.1%
101910.1%
102010.1%
102110.1%
102410.1%
103010.1%
103110.1%
103310.1%
103410.1%
103610.1%
103710.1%
104310.1%
104410.1%
104710.1%
105510.1%
105610.1%
106210.1%
107310.1%
107810.1%
108210.1%
108310.1%
108910.1%
109110.1%
109510.1%
109710.1%
109810.1%
109910.1%
110410.1%
110610.1%
110710.1%
111010.1%
111210.1%
111810.1%
112010.1%
112410.1%
112610.1%
112810.1%
112910.1%
113110.1%
113510.1%
113710.1%
113810.1%
114110.1%
114310.1%
114810.1%
115010.1%
115310.1%
115410.1%
115510.1%
116010.1%
116310.1%
116410.1%
116810.1%
117210.1%
117710.1%
118310.1%
118610.1%
119010.1%
119310.1%
1210.1%
120810.1%
121110.1%
121610.1%
121710.1%
122410.1%
122910.1%
124210.1%
126010.1%
126710.1%
127210.1%
127310.1%
127710.1%
128010.1%
128410.1%
12910.1%
129010.1%
129210.1%
129810.1%
129910.1%
1310.1%
130210.1%
130610.1%
130710.1%
130910.1%
13110.1%
131310.1%
131510.1%
131810.1%
132910.1%
133310.1%
13410.1%
134310.1%
134510.1%
134710.1%
134810.1%
135010.1%
135510.1%
135710.1%
136710.1%
13710.1%
137410.1%
137710.1%
138110.1%
138810.1%
138910.1%
13910.1%
139210.1%
139410.1%
1410.1%
140410.1%
140510.1%
140910.1%
14110.1%
141210.1%
14210.1%
142810.1%
144210.1%
14610.1%
146110.1%
1510.1%
15310.1%
153010.1%
155110.1%
15610.1%
15710.1%
15910.1%
1610.1%
16310.1%
16610.1%
16710.1%
17610.1%
17710.1%
1810.1%
18710.1%
19010.1%
19310.1%
19510.1%
19710.1%
19810.1%
19910.1%
20110.1%
20210.1%
20310.1%
20510.1%
20910.1%
21010.1%
21110.1%
21510.1%
21610.1%
21910.1%
2210.1%
23110.1%
23210.1%
23610.1%
23710.1%
23910.1%
24010.1%
24910.1%
25510.1%
25710.1%
25810.1%
26110.1%
26310.1%
26510.1%
26610.1%
27110.1%
28110.1%
28210.1%
28610.1%
2910.1%
29210.1%
30410.1%
30510.1%
31310.1%
31510.1%
31810.1%
32010.1%
32310.1%
32410.1%
32510.1%
32710.1%
32810.1%
33510.1%
33910.1%
34310.1%
34510.1%
3510.1%
35010.1%
35310.1%
35410.1%
35810.1%
36010.1%
36110.1%
36510.1%
36610.1%
36710.1%
36810.1%
37210.1%
37510.1%
37810.1%
38310.1%
38610.1%
3910.1%
39110.1%
39210.1%
39310.1%
39810.1%
39910.1%
40510.1%
40710.1%
41110.1%
41410.1%
41510.1%
41710.1%
41910.1%
42210.1%
42310.1%
42510.1%
42710.1%
42910.1%
4310.1%
43210.1%
43310.1%
43410.1%
43510.1%
43810.1%
44110.1%
44210.1%
44310.1%
44810.1%
44910.1%
45110.1%
45510.1%
45710.1%
4610.1%
46210.1%
46410.1%
46610.1%
46710.1%
46810.1%
46910.1%
47010.1%
4810.1%
48010.1%
48110.1%
48410.1%
48510.1%
49110.1%
49710.1%
5010.1%
5110.1%
51410.1%
51510.1%
51610.1%
52610.1%
52710.1%
5310.1%
53510.1%
54910.1%
55110.1%
5610.1%
56010.1%
56310.1%
56510.1%
56710.1%
56810.1%
57110.1%
57310.1%
57710.1%
58210.1%
58710.1%
58810.1%
5910.1%
59210.1%
59410.1%
59510.1%
59710.1%
59910.1%
60010.1%
60410.1%
60510.1%
60810.1%
61110.1%
6210.1%
62710.1%
62910.1%
63010.1%
63510.1%
63710.1%
64310.1%
64710.1%
64810.1%
64910.1%
65010.1%
65210.1%
65310.1%
65410.1%
65910.1%
66210.1%
66410.1%
66510.1%
66610.1%
66710.1%
66810.1%
6710.1%
67410.1%
6810.1%
68010.1%
68210.1%
68410.1%
68510.1%
68710.1%
68810.1%
69210.1%
69510.1%
69610.1%
69710.1%
7010.1%
70010.1%
70810.1%
7110.1%
71210.1%
71510.1%
71810.1%
7210.1%
72210.1%
72710.1%
73010.1%
73310.1%
73410.1%
73710.1%
74210.1%
74410.1%
74510.1%
75010.1%
75910.1%
7610.1%
76010.1%
76510.1%
76610.1%
7710.1%
77310.1%
77710.1%
7810.1%
78910.1%
80210.1%
8110.1%
81210.1%
81810.1%
82610.1%
8310.1%
83210.1%
83610.1%
84910.1%
85010.1%
85210.1%
85310.1%
85710.1%
86110.1%
86710.1%
87410.1%
87510.1%
87710.1%
87910.1%
88010.1%
88110.1%
88810.1%
89510.1%
89610.1%
90010.1%
90410.1%
90610.1%
90810.1%
91510.1%
9210.1%
92010.1%
92810.1%
93510.1%
93810.1%
94210.1%
94410.1%
94810.1%
94910.1%
95010.1%
95110.1%
95210.1%
95510.1%
95610.1%
9610.1%
96410.1%
97010.1%
97910.1%
9810.1%
98110.1%
98210.1%
98410.1%
99210.1%

Time in regiment (in days), summary

based on 1977 instances
minimum1 days
maximum1552 days
median326 days
mode1: 86 instances
mean491.8 days
standard deviation449.36

Time in regiment (grouped)

A: 0-9 days1246.3%
B: 10-399 days91946.5%
C: 400-799 days47424.0%
D: 800-1199 days22711.5%
E: 1200 or more days23111.7%
[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)

dishonorable34216.6%
honorable171983.4%

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
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(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
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(0.17)
1
(0.83)
1
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(0.17)
1
(0.83)
1
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(0.33)
2
(1.67)
2
447 0
(0.33)
2
(1.67)
2
448 0
(0.17)
1
(0.83)
1
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(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
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(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
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(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
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(0.17)
1
(0.83)
1
498 0
(0.33)
2
(1.67)
2
499 0
(0.5)
3
(2.5)
3
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(0.5)
3
(2.5)
3
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(0.33)
2
(1.67)
2
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(0.5)
3
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3
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3
(2.5)
3
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(0.5)
3
(2.5)
3
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(0.5)
2
(2.5)
3
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(0.33)
2
(1.67)
2
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(0.5)
3
(2.5)
3
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(0.66)
3
(3.34)
4
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(0.5)
3
(2.5)
3
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(0.83)
5
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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
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(0.33)
2
(1.67)
2
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(0.83)
5
(4.17)
5
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(0.83)
4
(4.17)
5
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(1.0)
6
(5.0)
6
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(0.33)
2
(1.67)
2
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(0.17)
1
(0.83)
1
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(0.17)
1
(0.83)
1
528 0
(0.33)
2
(1.67)
2
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(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
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(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
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(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
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(0.17)
1
(0.83)
1
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(0.17)
1
(0.83)
1
568 0
(0.17)
1
(0.83)
1
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(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
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(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)
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(7.51)
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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 volunteer27013.1%
did not reenlist as veteran volunteer179186.9%

Veteran status

ineligible155682.3%
veteran27014.3%
[unknown]170 %
unwilling to reenlist402.1%
willing to reenlist251.3%

Volunteer status

volunteer142469.2%
substitute32015.5%
draftee31415.3%
[unknown]3 %

Wounded

not wounded174084.4%
wounded32115.6%

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

[unknown]9 %
albuminuria; or albuminuria12.3%
apoplexy12.3%
chronic bronchitis12.3%
chronic diarrhea24.7%
chronic diarrhea; or chronic diarrhea12.3%
consumption12.3%
consumption lungs12.3%
cramp colic; or natural causes12.3%
delirium tremens24.7%
enteritis12.3%
exposure OR apoplexy; or exposure OR apoplexy12.3%
heart disease12.3%
inflammation of bowels12.3%
inflammation of stomach and bowels12.3%
measles12.3%
meningitis12.3%
phthisis pulmonalis12.3%
phthisis pulmonalis; or typhoid fever12.3%
pleurisy and pneumonia12.3%
pulmonary disease from exposure; or phthisis pulmonalis12.3%
smallpox12.3%
sunstroke12.3%
typhoid fever818.6%
typhoid fever; or apoplexy24.7%
typhoid fever; or peritonitis12.3%
typhoid fever; or pulmonary consumption12.3%
typhoid fever; or rheumatism12.3%
typhoid fever; or typhoid fever49.3%
typhoid pneumonia; or typhoid pneumonia12.3%
unknown causes12.3%

Cause of death

61.2%
Andersonville, of starvation10.2%
Andersonville; or diarrhea10.2%
Bright's Disease10.2%
Bright's disease of the kidneys10.2%
Brights disease10.2%
[illegible] gangrene of both legs10.2%
[unknown]1566 %
accidental overdose of laudanum10.2%
accidentally killed on Reading RR10.2%
acute Bright's disease10.2%
acute [illegible] tuberculosis10.2%
acute cystitis10.2%
acute endocarditis; contributory: bronchial asthma10.2%
acute gastritis;contributory: infirmities of old age10.2%
acute meningitis10.2%
albuminuria; or albuminuria10.2%
alcoholism20.4%
anaemia10.2%
anasarca10.2%
aneurysm of innominate artery10.2%
aortic aneurysm10.2%
aortic stenosis10.2%
apopletic paralysis10.2%
apoplexy183.6%
apoplexy (cerebral)10.2%
apoplexy superintended [?] by grippe with a violent cough; contributory: valvular heart disease10.2%
apoplexy; contributory exhaustion10.2%
apoplexy; contributory old age10.2%
arterio-capillary fibrosis10.2%
arterio-capillary fibrosis [?]10.2%
arteriorsclerosis; feeble heart and general anasarca10.2%
arteriosclerosis10.2%
arteriosclerosis and fatty degeneration of heart10.2%
arteriosclerosis; contributory bedsores10.2%
arteriosclerosis; contributory emphysema of the lungs10.2%
arteriosclerotic heart disease with failure; contributory: prostatic hypertrophy with urinary retention10.2%
asthenia result of epithelioma10.2%
asthma10.2%
brain disease; apoplexy10.2%
bronchial pneumonia10.2%
bronchitis10.2%
broncho-pneumonia10.2%
bronchopneumonia10.2%
bronchopneumonia; contributory chronic emphysema and bronchitis10.2%
by a fall while in confinement; or fall from a window in hospital at Alexandria VA10.2%
by fractured skull; or fractured skull10.2%
cancer of intestine10.2%
cancer of liver10.2%
cancer of pylorus10.2%
cancer of stomach20.4%
cancer of the bowels; contributory: chronic dysentery10.2%
capillary bronchitis10.2%
capillary bronchitis resulting from an attack of influenza10.2%
capillary bronchitis; contributory senility10.2%
carbuncle10.2%
carcinoma of carotid glands10.2%
carcinoma of large intestine10.2%
carcinoma of liver10.2%
carcinoma of stomach and liver;acute cardiac dilatation10.2%
carcinoma of the parotid10.2%
carcinoma rectum10.2%
carcinoma sublingual gland; contributory physical exhaustion10.2%
cardiac hypertrophy; contributory chr nephritis10.2%
cardiac paralysis; contributory: paralysis of bladder10.2%
cardio-renal disease; arteriosclerosis; phlebitis; ulcers of the leg and foot10.2%
catarrhal hemorrhage10.2%
catarrhal jaundice and alcoholism10.2%
cerebral apoplexy10.2%
cerebral apoplexy; contributory arteriosclerosis10.2%
cerebral embolism and chronic endocarditis10.2%
cerebral haemorrhage from injuries received by accidental fall10.2%
cerebral hemorrhage40.8%
cerebral hemorrhage; contributory starvation10.2%
cerebral hemorrhage;contributory: arteriosclerosis10.2%
cerebral paralysis10.2%
cerebral softening10.2%
cerebral softenings10.2%
cerebral tumor; secondary cause exhaustion10.2%
cerebritis10.2%
chief carcinoma of inferior maxilla; contributory exhaustion10.2%
cholera asphyxia10.2%
chronic Bright's disease10.2%
chronic Brights disease10.2%
chronic aortic regurgitation;contributory: chronic prostatitis10.2%
chronic bronchitis40.8%
chronic diarrhea51.0%
chronic diarrhea; or chronic diarrhea10.2%
chronic diarrhoea10.2%
chronic dysentery10.2%
chronic enteritis20.4%
chronic enteritis; contributory: old age10.2%
chronic gastroenteritis with hypertrophy of heart10.2%
chronic interstitial nephritis; contributory arteriosclerosis10.2%
chronic mental disorder and valvular disease of heart10.2%
chronic myocardial insufficiency; contributing: arteriosclerosis; old age10.2%
chronic nephritis10.2%
chronic nephritis; contributory: anasarca10.2%
chronic parenchymatous nephritis10.2%
chronic parencymatous nephritis10.2%
chronic valvular heart disease10.2%
chronic valvular heart disease; contributory bronchitis10.2%
cirrhosis of liver30.6%
cirrhosis of liver; contributory constitutional10.2%
congestion of brain10.2%
congestion of lungs10.2%
congestion of the brain20.4%
congestive fever10.2%
consumption132.6%
consumption and heart disease10.2%
consumption lungs20.4%
consumption of lungs61.2%
consumption of lungs [?]10.2%
consumption of the lungs10.2%
cramp colic; or natural causes10.2%
cystitis and senility; contributory old age10.2%
cystitis due to enlarged prostate; contributory old age10.2%
cystitis; contributory enlarged prostate10.2%
debility10.2%
debility after debauch10.2%
debility from malarial disease10.2%
delerium tremens10.2%
delirium tremens40.8%
diabetes10.2%
diabetes mellitus10.2%
diarrhea30.6%
diarrhea and debility10.2%
dilatation of heart20.4%
dilatation of heart;contributory: pulmonary complications;contributory: general edema10.2%
disease of heart10.2%
disease of liver + stomach10.2%
disease of the heart20.4%
dropsy40.8%
dropsy from disease of liver10.2%
dropsy of heart10.2%
drowning10.2%
edema of lungs + uremia; contributory melancholia pseudo-elephantiasis10.2%
endocarditis;contributory: age10.2%
endocarditis;contributory: hypostatic congestion of lungs10.2%
engina pictorisis10.2%
enteritis10.2%
exhaustion10.2%
exhaustion due to profuse discharge of pus; gunshot wound of right thigh10.2%
exhaustion following phlebitis10.2%
exhaustion from cystitis with infection;contributory: sciatic rheumatism10.2%
exhaustion resulting from gunshot wound of left hand10.2%
exhaustion; contributory: diabetes mellitus10.2%
exposure OR apoplexy; or exposure OR apoplexy10.2%
fatty degeneration of heart10.2%
fatty degeneration of the heart10.2%
frac base of skull due to acdl fall on pavement10.2%
fracture base of skull anterior fossa; run down by automobile10.2%
galloping consumption10.2%
gastroentritis; contributory exhaustion10.2%
general debility20.4%
general drops from organic valvular disease of the heart10.2%
general paralysis10.2%
gun shot wound10.2%
gun shot wound recd in battle10.2%
gunshot flesh wound of left thigh10.2%
gunshot wound30.6%
haemoptysus (consumption)10.2%
haemorrhage of lungs10.2%
heart attack10.2%
heart clot following amputation10.2%
heart disease91.8%
heart disease (mitral insufficiency)10.2%
heart disease - valvular10.2%
heart disease and Bright's disease of the kidney10.2%
heart disease;contributory chronic interstitial nephritis10.2%
heart trouble10.2%
heart trouble and dropsy10.2%
hemiplegia + nephritis10.2%
hemorrhage of lungs10.2%
hydropericarditis10.2%
hypertrophic cirrhosis of liver and secondary carcinoma;exhaustion10.2%
hypertrophy of heart10.2%
in Andersonville Prison, Georgia10.2%
in Andersonville Prison, Georgia, of marasmus10.2%
in Richmond Prison10.2%
in Richmond, Virginia10.2%
inanition10.2%
inanition; contributory alcoholic gastritis10.2%
incipient phthisis [and diarrhea?]10.2%
inflammation of bowels30.6%
inflammation of brain + pneumonia10.2%
inflammation of knee joint10.2%
inflammation of stomach10.2%
inflammation of stomach and bowels10.2%
inflammation of the brain; contributory coma10.2%
inflammation of the lungs10.2%
inflammation of throat + hemorrhage10.2%
injuries accd recd from a fall10.2%
injuries accidentally received10.2%
injuries in falling10.2%
injuries recd by a fall down stairs10.2%
injuries received from a fall10.2%
injuries received in a fall10.2%
internal hemorrhage10.2%
interstitial nephritis and cardiac incompetence10.2%
interstitial nephritis; contributory pulmonary edema10.2%
intestinal carcinoma [and] exhaustion10.2%
intestinal obstruction10.2%
intestinal obstruction and gradual decline from infirmities of old age10.2%
intussusception of bowel; contributory: inflammation10.2%
la grippe10.2%
lobar pneumnoia10.2%
lobar pneumonia r side10.2%
lobar pneumonia right lung; heart disease [illegible] with dilatation10.2%
lobar pneumonia; contributory senility and arteriosclerosis10.2%
locomotor ataxia20.4%
locomotor ataxia--contributory nephritis + heart failure10.2%
marasmus + acute alcoholism10.2%
measles10.2%
meningitis10.2%
mitral regurgitation10.2%
mitral regurgitation + stenosis10.2%
motor vehicle accident10.2%
myocarditis and nephritis10.2%
myocarditis and valvular heart disease10.2%
myocarditis; contributory nephritis10.2%
myocarditis;endocarditis [?]; contributory: chronic interstitial nephritis [?]10.2%
natural causes30.6%
nephritis20.4%
nephritis (chronic); contributory: apoplexy10.2%
nephritis comp with heart disease10.2%
nephritis; contributory myocarditis10.2%
no doctor in charge [sic]10.2%
obstruction of bowels10.2%
oedema of lungs10.2%
old age20.4%
old age and debility10.2%
organic disease of heart and mitral regurgitation10.2%
organic heart disease10.2%
organic heart disease (mitral);contributory: arteriosclerosis10.2%
organic heart disease; aortic stenosis; secondary to aortitis10.2%
organic heart failure caused by old age10.2%
paralysis61.2%
paralysis of bladder10.2%
paralysis of the brain20.4%
paralysis; contributory: dropsy attending hypertrophy of the heart10.2%
paresis10.2%
peritonitis10.2%
phthisis61.2%
phthisis pulmonalis265.3%
phthisis pulmonalis; or typhoid fever10.2%
pleurisy and pneumonia10.2%
pleuro-pneumonia10.2%
pneumonia102.0%
pneumonia; contributory chronic interstitial nephritis with cardiac degeneration10.2%
pneumonia; contributory collopus [?]10.2%
pneumonia; contributory general catarrh and influenzic catarrh10.2%
pneumonia; contributory: influenza10.2%
pneumonia; senile decay contributing10.2%
pulled out of a train10.2%
pulmonary consumption30.6%
pulmonary disease from exposure; or phthisis pulmonalis10.2%
pulmonary phthisis10.2%
pulmonary phthisis and enlarged liver10.2%
pulmonary tuberculosis30.6%
rapid consumption10.2%
run over by railroad train10.2%
running sore and general debility10.2%
sclerosis of liver10.2%
second hemorrhage (amp of thigh)10.2%
senile debility10.2%
senile debility; contributory fall fracturing 2 ribs + various other injuries + shock10.2%
senile gangrene10.2%
senility20.4%
senility and hypostatic congestion of the lungs;contributory fracture of neck of femure (fell down stairs)10.2%
septicaemia and uraemia10.2%
shipwreck10.2%
shot in head40.8%
shot in head while charging enemy works10.2%
shot in head while charging enemy's works10.2%
shot in leg10.2%
smallpox20.4%
strangulated hernia10.2%
stroke10.2%
stroke of paralysis10.2%
subacute inflammation of liver;dropsy of chest and abdomen10.2%
suffocation10.2%
suicide30.6%
suicide by hanging while suffering from melancholy10.2%
suicide by taking Paris Green10.2%
sunstroke10.2%
supposed disease of the heart10.2%
surgical shock while undergoing an operation10.2%
syncope10.2%
syphilis10.2%
terminal dementia; contributory mitral insuffiency10.2%
thermic fever;cerebral apoplexy10.2%
trampled10.2%
transverse myelitis10.2%
trismus10.2%
tubercular esophageal mass10.2%
tubercular laryngitis10.2%
tuberculosis20.4%
tuberculosis pulmonalis; contributory: acute gastroenteritis10.2%
typhoid fever142.8%
typhoid fever; or apoplexy20.4%
typhoid fever; or peritonitis10.2%
typhoid fever; or pulmonary consumption10.2%
typhoid fever; or rheumatism10.2%
typhoid fever; or typhoid fever40.8%
typhoid pneumonia20.4%
typhoid pneumonia with congestion10.2%
typhoid pneumonia; or typhoid pneumonia10.2%
ulcer of stomach; contributory hemorrhages from stomach10.2%
unknown causes10.2%
uraemia--contributory chronic interstitial nephritis10.2%
uraemia; contributory injuries accidentally received falling down stairs10.2%
uraemia; contributory: Bright's disease10.2%
uraemic convulsions10.2%
uraemic poisoning;contributory hypostatic congestion of lungs10.2%
uremia20.4%
uremia and congestion of liver10.2%
uremia chronic myocarditis; contributory: gangrene left leg10.2%
uremia due to Bright's disease10.2%
uremic coma due to Bright's disease10.2%
uremic toxemia;general arteriosclerosis and contracted kidney10.2%
valvular disease of heart40.8%
valvular disease of heart; contributory: chronic bronchitis10.2%
valvular disease of the heart20.4%
valvular heart disease10.2%
valvular heart disease; contributory hardening of arteries10.2%
valvular heart disease; contributory pneumonia10.2%
wounded in left breast10.2%
wounds10.2%
wounds received in action and loss of limb10.2%
wounds received in battle10.2%
wounds--gun shot10.2%

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

61.4%
Bright's Disease10.2%
Bright's disease of the kidneys10.2%
Brights disease10.2%
[illegible] gangrene of both legs10.2%
[unknown]1457 %
accidental overdose of laudanum10.2%
accidentally killed on Reading RR10.2%
acute Bright's disease10.2%
acute [illegible] tuberculosis10.2%
acute cystitis10.2%
acute endocarditis; contributory: bronchial asthma10.2%
acute gastritis;contributory: infirmities of old age10.2%
acute meningitis10.2%
alcoholism20.5%
anaemia10.2%
anasarca10.2%
aneurysm of innominate artery10.2%
aortic aneurysm10.2%
aortic stenosis10.2%
apopletic paralysis10.2%
apoplexy174.1%
apoplexy (cerebral)10.2%
apoplexy superintended [?] by grippe with a violent cough; contributory: valvular heart disease10.2%
apoplexy; contributory exhaustion10.2%
apoplexy; contributory old age10.2%
arterio-capillary fibrosis10.2%
arterio-capillary fibrosis [?]10.2%
arteriorsclerosis; feeble heart and general anasarca10.2%
arteriosclerosis10.2%
arteriosclerosis and fatty degeneration of heart10.2%
arteriosclerosis; contributory bedsores10.2%
arteriosclerosis; contributory emphysema of the lungs10.2%
arteriosclerotic heart disease with failure; contributory: prostatic hypertrophy with urinary retention10.2%
asthenia result of epithelioma10.2%
asthma10.2%
brain disease; apoplexy10.2%
bronchial pneumonia10.2%
bronchitis10.2%
broncho-pneumonia10.2%
bronchopneumonia10.2%
bronchopneumonia; contributory chronic emphysema and bronchitis10.2%
cancer of intestine10.2%
cancer of liver10.2%
cancer of pylorus10.2%
cancer of stomach20.5%
cancer of the bowels; contributory: chronic dysentery10.2%
capillary bronchitis10.2%
capillary bronchitis resulting from an attack of influenza10.2%
capillary bronchitis; contributory senility10.2%
carbuncle10.2%
carcinoma of carotid glands10.2%
carcinoma of large intestine10.2%
carcinoma of liver10.2%
carcinoma of stomach and liver;acute cardiac dilatation10.2%
carcinoma of the parotid10.2%
carcinoma rectum10.2%
carcinoma sublingual gland; contributory physical exhaustion10.2%
cardiac hypertrophy; contributory chr nephritis10.2%
cardiac paralysis; contributory: paralysis of bladder10.2%
cardio-renal disease; arteriosclerosis; phlebitis; ulcers of the leg and foot10.2%
catarrhal hemorrhage10.2%
catarrhal jaundice and alcoholism10.2%
cerebral apoplexy10.2%
cerebral apoplexy; contributory arteriosclerosis10.2%
cerebral embolism and chronic endocarditis10.2%
cerebral haemorrhage from injuries received by accidental fall10.2%
cerebral hemorrhage41.0%
cerebral hemorrhage; contributory starvation10.2%
cerebral hemorrhage;contributory: arteriosclerosis10.2%
cerebral paralysis10.2%
cerebral softening10.2%
cerebral softenings10.2%
cerebral tumor; secondary cause exhaustion10.2%
cerebritis10.2%
chief carcinoma of inferior maxilla; contributory exhaustion10.2%
cholera asphyxia10.2%
chronic Bright's disease10.2%
chronic Brights disease10.2%
chronic aortic regurgitation;contributory: chronic prostatitis10.2%
chronic bronchitis30.7%
chronic diarrhea30.7%
chronic diarrhoea10.2%
chronic dysentery10.2%
chronic enteritis20.5%
chronic enteritis; contributory: old age10.2%
chronic gastroenteritis with hypertrophy of heart10.2%
chronic interstitial nephritis; contributory arteriosclerosis10.2%
chronic mental disorder and valvular disease of heart10.2%
chronic myocardial insufficiency; contributing: arteriosclerosis; old age10.2%
chronic nephritis10.2%
chronic nephritis; contributory: anasarca10.2%
chronic parenchymatous nephritis10.2%
chronic parencymatous nephritis10.2%
chronic valvular heart disease10.2%
chronic valvular heart disease; contributory bronchitis10.2%
cirrhosis of liver30.7%
cirrhosis of liver; contributory constitutional10.2%
congestion of brain10.2%
congestion of lungs10.2%
congestion of the brain20.5%
consumption122.9%
consumption and heart disease10.2%
consumption lungs10.2%
consumption of lungs61.4%
consumption of lungs [?]10.2%
consumption of the lungs10.2%
cystitis and senility; contributory old age10.2%
cystitis due to enlarged prostate; contributory old age10.2%
cystitis; contributory enlarged prostate10.2%
debility10.2%
debility after debauch10.2%
debility from malarial disease10.2%
delerium tremens10.2%
delirium tremens20.5%
diabetes10.2%
diabetes mellitus10.2%
diarrhea30.7%
diarrhea and debility10.2%
dilatation of heart20.5%
dilatation of heart;contributory: pulmonary complications;contributory: general edema10.2%
disease of heart10.2%
disease of liver + stomach10.2%
disease of the heart20.5%
dropsy41.0%
dropsy from disease of liver10.2%
dropsy of heart10.2%
edema of lungs + uremia; contributory melancholia pseudo-elephantiasis10.2%
endocarditis;contributory: age10.2%
endocarditis;contributory: hypostatic congestion of lungs10.2%
engina pictorisis10.2%
exhaustion10.2%
exhaustion following phlebitis10.2%
exhaustion from cystitis with infection;contributory: sciatic rheumatism10.2%
exhaustion; contributory: diabetes mellitus10.2%
fatty degeneration of heart10.2%
fatty degeneration of the heart10.2%
frac base of skull due to acdl fall on pavement10.2%
fracture base of skull anterior fossa; run down by automobile10.2%
galloping consumption10.2%
gastroentritis; contributory exhaustion10.2%
general debility20.5%
general drops from organic valvular disease of the heart10.2%
general paralysis10.2%
haemoptysus (consumption)10.2%
haemorrhage of lungs10.2%
heart attack10.2%
heart clot following amputation10.2%
heart disease81.9%
heart disease (mitral insufficiency)10.2%
heart disease - valvular10.2%
heart disease and Bright's disease of the kidney10.2%
heart disease;contributory chronic interstitial nephritis10.2%
heart trouble10.2%
heart trouble and dropsy10.2%
hemiplegia + nephritis10.2%
hemorrhage of lungs10.2%
hydropericarditis10.2%
hypertrophic cirrhosis of liver and secondary carcinoma;exhaustion10.2%
hypertrophy of heart10.2%
inanition10.2%
inanition; contributory alcoholic gastritis10.2%
incipient phthisis [and diarrhea?]10.2%
inflammation of bowels20.5%
inflammation of brain + pneumonia10.2%
inflammation of knee joint10.2%
inflammation of stomach10.2%
inflammation of the brain; contributory coma10.2%
inflammation of the lungs10.2%
inflammation of throat + hemorrhage10.2%
injuries accd recd from a fall10.2%
injuries accidentally received10.2%
injuries in falling10.2%
injuries recd by a fall down stairs10.2%
injuries received from a fall10.2%
internal hemorrhage10.2%
interstitial nephritis and cardiac incompetence10.2%
interstitial nephritis; contributory pulmonary edema10.2%
intestinal carcinoma [and] exhaustion10.2%
intestinal obstruction10.2%
intestinal obstruction and gradual decline from infirmities of old age10.2%
intussusception of bowel; contributory: inflammation10.2%
la grippe10.2%
lobar pneumnoia10.2%
lobar pneumonia r side10.2%
lobar pneumonia right lung; heart disease [illegible] with dilatation10.2%
lobar pneumonia; contributory senility and arteriosclerosis10.2%
locomotor ataxia20.5%
locomotor ataxia--contributory nephritis + heart failure10.2%
marasmus + acute alcoholism10.2%
mitral regurgitation10.2%
mitral regurgitation + stenosis10.2%
motor vehicle accident10.2%
myocarditis and nephritis10.2%
myocarditis and valvular heart disease10.2%
myocarditis; contributory nephritis10.2%
myocarditis;endocarditis [?]; contributory: chronic interstitial nephritis [?]10.2%
natural causes30.7%
nephritis20.5%
nephritis (chronic); contributory: apoplexy10.2%
nephritis comp with heart disease10.2%
nephritis; contributory myocarditis10.2%
no doctor in charge [sic]10.2%
obstruction of bowels10.2%
oedema of lungs10.2%
old age20.5%
old age and debility10.2%
organic disease of heart and mitral regurgitation10.2%
organic heart disease10.2%
organic heart disease (mitral);contributory: arteriosclerosis10.2%
organic heart disease; aortic stenosis; secondary to aortitis10.2%
organic heart failure caused by old age10.2%
paralysis61.4%
paralysis of bladder10.2%
paralysis of the brain20.5%
paralysis; contributory: dropsy attending hypertrophy of the heart10.2%
paresis10.2%
peritonitis10.2%
phthisis61.4%
phthisis pulmonalis245.8%
pleuro-pneumonia10.2%
pneumonia102.4%
pneumonia; contributory chronic interstitial nephritis with cardiac degeneration10.2%
pneumonia; contributory collopus [?]10.2%
pneumonia; contributory general catarrh and influenzic catarrh10.2%
pneumonia; contributory: influenza10.2%
pneumonia; senile decay contributing10.2%
pulmonary consumption30.7%
pulmonary phthisis10.2%
pulmonary phthisis and enlarged liver10.2%
pulmonary tuberculosis30.7%
rapid consumption10.2%
running sore and general debility10.2%
sclerosis of liver10.2%
second hemorrhage (amp of thigh)10.2%
senile debility10.2%
senile debility; contributory fall fracturing 2 ribs + various other injuries + shock10.2%
senile gangrene10.2%
senility20.5%
senility and hypostatic congestion of the lungs;contributory fracture of neck of femure (fell down stairs)10.2%
septicaemia and uraemia10.2%
shipwreck10.2%
smallpox10.2%
strangulated hernia10.2%
stroke10.2%
stroke of paralysis10.2%
subacute inflammation of liver;dropsy of chest and abdomen10.2%
suff