Regimental statistics

These statistics include 2019 men. The tables below are based on incomplete and in some cases contradictory information; as I get more information, the numbers change.

Age when enlisted, in frequency order

18	212	10.6%
19	165	8.3%
21	132	6.6%
23	112	5.6%
20	106	5.3%
22	104	5.2%
24	92	4.6%
28	80	4.0%
25	79	4.0%
44	78	3.9%
40	64	3.2%
29	63	3.2%
27	61	3.1%
35	58	2.9%
26	55	2.8%
30	53	2.7%
33	49	2.5%
38	48	2.4%
37	47	2.4%
32	47	2.4%
34	45	2.3%
43	41	2.1%
31	39	2.0%
42	35	1.8%
36	30	1.5%
39	28	1.4%
17	28	1.4%
[unknown]	19	%
41	19	1.0%
45	14	0.7%
16	6	0.3%
48	3	0.2%
47	1	0.1%
15	1	0.1%
14	1	0.1%
13	1	0.1%
50	1	0.1%
54	1	0.1%
56	1	0.1%

Age when enlisted

13	1	0.1%
14	1	0.1%
15	1	0.1%
16	6	0.3%
17	28	1.4%
18	212	10.6%
19	165	8.3%
20	106	5.3%
21	132	6.6%
22	104	5.2%
23	112	5.6%
24	92	4.6%
25	79	4.0%
26	55	2.8%
27	61	3.1%
28	80	4.0%
29	63	3.2%
30	53	2.7%
31	39	2.0%
32	47	2.4%
33	49	2.5%
34	45	2.3%
35	58	2.9%
36	30	1.5%
37	47	2.4%
38	48	2.4%
39	28	1.4%
40	64	3.2%
41	19	1.0%
42	35	1.8%
43	41	2.1%
44	78	3.9%
45	14	0.7%
47	1	0.1%
48	3	0.2%
50	1	0.1%
54	1	0.1%
56	1	0.1%
[unknown]	19	%

Age when enlisted, summary

based on 2000 instances
minimum	13 years
maximum	56 years
median	25.0 years
mode	18: 212 instances
mean	27.4 years
standard deviation	8.69

Age when enlisted (grouped)

0-19	414	20.7%
20-29	884	44.2%
30-39	444	22.2%
40-	258	12.9%
[unknown]	19	%

Birthplace, in frequency order

Philadelphia, Pennsylvania, USA	524	33.3%
[unknown]	445	%
Pennsylvania, USA	128	8.1%
Ireland	122	7.8%
Bedford, Pennsylvania, USA	62	3.9%
Germany	62	3.9%
England	36	2.3%
Adams, Pennsylvania, USA	33	2.1%
Chester, Pennsylvania, USA	16	1.0%
New York, USA	16	1.0%
Tyrone, Ireland	16	1.0%
Canada	14	0.9%
Milton, Northumberland, Pennsylvania, USA	13	0.8%
Montgomery, Pennsylvania, USA	12	0.8%
Derry, Ireland	11	0.7%
Lancaster, Pennsylvania, USA	11	0.7%
New York, New York, USA	11	0.7%
Scotland	11	0.7%
France	10	0.6%
Baltimore, Maryland, USA	9	0.6%
Bucks, Pennsylvania, USA	9	0.6%
Delaware, Pennsylvania, USA	9	0.6%
Donegal, Ireland	9	0.6%
New Jersey, USA	8	0.5%
Dublin, Ireland	7	0.4%
Northumberland, Pennsylvania, USA	7	0.4%
Switzerland	7	0.4%
Antrim, Ireland	6	0.4%
Berks, Pennsylvania, USA	6	0.4%
Easton, Northampton, Pennsylvania, USA	6	0.4%
Norristown, Montgomery, Pennsylvania, USA	6	0.4%
Prussia	6	0.4%
Boston, Massachusetts, USA	5	0.3%
Dauphin, Pennsylvania, USA	5	0.3%
Harrisburg, Dauphin, Pennsylvania, USA	5	0.3%
Manchester, England	5	0.3%
Allegheny, Pennsylvania, USA	4	0.3%
Burlington, New Jersey, USA	4	0.3%
Cambria, Pennsylvania, USA	4	0.3%
Derry County, Ireland	4	0.3%
Lancashire, England	4	0.3%
London, England	4	0.3%
New Castle, Delaware, USA	4	0.3%
Salem, New Jersey, USA	4	0.3%
Albany, New York, USA	3	0.2%
Armagh, Ireland	3	0.2%
Armstrong, Pennsylvania, USA	3	0.2%
Baden, Germany	3	0.2%
Bavaria	3	0.2%
Belfast, Ireland	3	0.2%
Bristol, Pennsylvania, USA	3	0.2%
Carlisle, England	3	0.2%
County Tyrone, Ireland	3	0.2%
Denighal, Ireland	3	0.2%
Hollidaysburg, Blair, Pennsylvania, USA	3	0.2%
Londonderry, Ireland	3	0.2%
Maryland, USA	3	0.2%
Monroe, Pennsylvania, USA	3	0.2%
Pittsburgh, Allegheny, Pennsylvania, USA	3	0.2%
Tyrone County, Ireland	3	0.2%
West Chester, Chester, Pennsylvania, USA	3	0.2%
Wilmington, Delaware, USA	3	0.2%
York County, Pennsylvania, USA	3	0.2%
Antrim County, Ireland	2	0.1%
Bradford, Pennsylvania, USA	2	0.1%
Butler, Pennsylvania, USA	2	0.1%
Camden [City?], Camden, New Jersey, USA	2	0.1%
Carlon, Ireland	2	0.1%
Cecil County, Maryland, USA	2	0.1%
Cincinnati, Ohio, USA	2	0.1%
Clearfield, Pennsylvania, USA	2	0.1%
Cork, Ireland	2	0.1%
County Antrim, Ireland	2	0.1%
Delaware, USA	2	0.1%
Fermana, Ireland	2	0.1%
Franklin, Pennsylvania, USA	2	0.1%
Galway, Ireland	2	0.1%
Georgia, USA	2	0.1%
Gerglasuen, Ireland	2	0.1%
Glasgow, Scotland	2	0.1%
Juniata, Pennsylvania, USA	2	0.1%
Killdare, Ireland	2	0.1%
Lanarkshire, Scotland	2	0.1%
Liverpool, England	2	0.1%
Monaghan, Ireland	2	0.1%
Montour, Pennsylvania, USA	2	0.1%
Paris, France	2	0.1%
Pottsville, Schuylkill, Pennsylvania, USA	2	0.1%
Prussia, Germany	2	0.1%
Saxon, Germany	2	0.1%
Spain	2	0.1%
Tirone County, Ireland	2	0.1%
Tirone, Ireland	2	0.1%
Virginia, USA	2	0.1%
Wales	2	0.1%
Warford, Ireland	2	0.1%
Waterford, Ireland	2	0.1%
Wurtemburg, Germany	2	0.1%
York, Pennsylvania, USA	2	0.1%
Abershrice [?], France	1	0.1%
Aix-la Chapelle, France	1	0.1%
Alegheny, New York, USA	1	0.1%
Allegheny City, Allegheny, Pennsylvania, USA	1	0.1%
Allsburg, Germany	1	0.1%
Amley, New Jersey, USA	1	0.1%
Amsterdam, New York, USA	1	0.1%
Armaugh County, Ireland	1	0.1%
Atlantic City, New Jersey, USA	1	0.1%
Augusta, Maine, USA	1	0.1%
Ayrshire, Scotland	1	0.1%
Balcastle, Ireland	1	0.1%
Bangdon, Ireland	1	0.1%
Bavaria, Germany	1	0.1%
Beaver, Pennsylvania, USA	1	0.1%
Belgium	1	0.1%
Belleforte, Pennsylvania, USA	1	0.1%
Bellfonte, Pennsylvania, USA	1	0.1%
Birmingham, Pennsylvania, USA	1	0.1%
Blackwood, New Jersey, USA	1	0.1%
Blair, Pennsylvania, USA	1	0.1%
Brooklyn, New York, USA	1	0.1%
Brun, Germany	1	0.1%
Bucks County [?], Pennsylvania, USA	1	0.1%
Cambridge, Massachusetts, USA	1	0.1%
Camden [city?], Camden, New Jersey, USA	1	0.1%
Canandaigua, New York, USA	1	0.1%
Cape May County, New Jersey, USA	1	0.1%
Cardiff, Wales	1	0.1%
Carlile, Pennsylvania, USA	1	0.1%
Catawissa, Pennsylvania, USA	1	0.1%
Centre, Pennsylvania, USA	1	0.1%
Charleston, South Carolina, USA	1	0.1%
Cheltenham, England	1	0.1%
Chester, England	1	0.1%
Cicle [??], Ohio, USA	1	0.1%
Clarion, Pennsylvania, USA	1	0.1%
Coatesville, Pennsylvania, USA	1	0.1%
Columbia, Lancaster, Pennsylvania, USA	1	0.1%
Columbia, Pennsylvania, USA	1	0.1%
County Cork, Ireland	1	0.1%
Cumberland, England	1	0.1%
Cumberland, Pennsylvania, USA	1	0.1%
Danagle, Ireland	1	0.1%
Danvers, Massachusetts, USA	1	0.1%
Delaware [County], Pennsylvania, USA	1	0.1%
Denegahl, Ireland	1	0.1%
Denegall, Ireland	1	0.1%
Dengal County, Ireland	1	0.1%
Denigal County, Ireland	1	0.1%
Denigall, Ireland	1	0.1%
Dennagal, Ireland	1	0.1%
Denngal, Ireland	1	0.1%
Devon, Ireland	1	0.1%
Dochester, Maryland, USA	1	0.1%
Donagaul, Ireland	1	0.1%
Donegal County, Ireland	1	0.1%
Donnegall, Ireland	1	0.1%
Doug County, Ireland	1	0.1%
Dover, England	1	0.1%
Dover, York, Pennsylvania, USA	1	0.1%
Down County, Ireland	1	0.1%
Down, Ireland	1	0.1%
Drummond, Virginia, USA	1	0.1%
Dublin	1	0.1%
Dutchess County, New York, USA	1	0.1%
Entrim, Ireland	1	0.1%
Essex County, Delaware, USA	1	0.1%
Ferth, Scotland	1	0.1%
Georgetown [?], Delaware, USA	1	0.1%
Georgetown, Delaware, USA	1	0.1%
Gloucester, New Jersey, USA	1	0.1%
Haddonfield, New Jersey, USA	1	0.1%
Hartford, Connecticut, USA	1	0.1%
Hesse Cassel, Germany	1	0.1%
Holland, Germany	1	0.1%
Holland, Massachusetts, USA	1	0.1%
Hudson, New York, USA	1	0.1%
Huntingdon, Pennsylvania, USA	1	0.1%
Illinois, USA	1	0.1%
Indiana County, Pennsylvania, USA	1	0.1%
Indiana, USA	1	0.1%
Jefferson County, Pennsylvania, USA	1	0.1%
Kilkenny, Ireland	1	0.1%
Lanark, Scotland	1	0.1%
Lancaster, England	1	0.1%
Lanchisier, England	1	0.1%
Langford, England	1	0.1%
Lanohill [?], New York, USA	1	0.1%
Lathvan, Ireland	1	0.1%
Lebanon, Pennsylvania, USA	1	0.1%
Leitchfield [?], Connecticut, USA	1	0.1%
Lestershire, England	1	0.1%
Lewistown, Delaware, USA	1	0.1%
Londenderry, Ireland	1	0.1%
Louth, Ireland	1	0.1%
Lurgan, Ireland	1	0.1%
Malta	1	0.1%
Marion, Ireland	1	0.1%
Martinsburg, Pennsylvania, USA	1	0.1%
Mauch Chuck, Pennsylvania, USA	1	0.1%
Mauch Chunk, Pennsylvania, USA	1	0.1%
Medford, New Jersey, USA	1	0.1%
Melton, Ireland	1	0.1%
Menallen, Adams, Pennsylvania, USA	1	0.1%
Mexico, Juniata, Pennsylvania, USA	1	0.1%
Middlesex, New Jersey, USA	1	0.1%
Middleton, Pennsylvania, USA	1	0.1%
Millville, Cumberland, New Jersey, USA	1	0.1%
Millville, New Jersey, USA	1	0.1%
Milton, Delaware, USA	1	0.1%
Molton, England	1	0.1%
Monchen, Ireland	1	0.1%
Monmouth County, New Jersey, USA	1	0.1%
Monmouth, Wales	1	0.1%
Mount Joy, Pennsylvania, USA	1	0.1%
Munster, Ireland	1	0.1%
Nether Providence, Delaware, USA	1	0.1%
New Albany, Indiana, USA	1	0.1%
New Brunswick, Canada	1	0.1%
New Township, Pennsylvania, USA	1	0.1%
Newburgh, Ireland	1	0.1%
Newburn, North Carolina, USA	1	0.1%
Norfolk, Virginia, USA	1	0.1%
North East, Pennsylvania, USA	1	0.1%
Northampton, England	1	0.1%
Nova Scotia, Halifax, Canada	1	0.1%
Ohio, USA	1	0.1%
Oneida, New York, USA	1	0.1%
Oswego County, New York, USA	1	0.1%
Otugo, New York, USA	1	0.1%
Paisely, Scotland	1	0.1%
Pasely, Scotland	1	0.1%
Patterson, New Jersey, USA	1	0.1%
Pavia, Bedford, Pennsylvania, USA	1	0.1%
Pennsylania, USA	1	0.1%
Penpruche, Scotland	1	0.1%
Philadelpia, Pennsylvania, USA	1	0.1%
Pickaway, Ohio, USA	1	0.1%
Plymouth, England	1	0.1%
Poland	1	0.1%
Port Elizabeth, New Jersey, USA	1	0.1%
Prince George County, Maryland, USA	1	0.1%
Queens County, Ireland	1	0.1%
Reading, Berks, Pennsylvania, USA	1	0.1%
Roxborough, Pennsylvania, USA	1	0.1%
Rutland County, Vermont, USA	1	0.1%
Sand Lake, Rensselaer County, New York, USA	1	0.1%
Sarah Furnace, Pennsylvania, USA	1	0.1%
Schurzburg, Germany	1	0.1%
Schuylkill Haven, Pennsylvania, USA	1	0.1%
Sheffield, England	1	0.1%
Shippen, Cameron, Pennsylvania, USA	1	0.1%
Somerset, Pennsylvania, USA	1	0.1%
Spanish Town, Jamaica	1	0.1%
St Bridget, Canada	1	0.1%
St John, New Brunswick, Canada	1	0.1%
St Johns, New Brunswick, Canada	1	0.1%
Stafford County, England	1	0.1%
Staffordshire, England	1	0.1%
Stanton, Delaware, USA	1	0.1%
Stoltest, Germany	1	0.1%
Strausborg, France	1	0.1%
Tamaqua, Pennsylvania, USA	1	0.1%
Thomson Ville, Connecticut, USA	1	0.1%
Tipperary, Ireland	1	0.1%
Toronto, Canada	1	0.1%
Trenton, Mercer, New Jersey, USA	1	0.1%
Trenton, New Jersey, USA	1	0.1%
Trin, Germany	1	0.1%
Tyrol, Germany	1	0.1%
Union County, Pennsylvania, USA	1	0.1%
Upper Providence, Pennsylvania, USA	1	0.1%
Utica, New York, USA	1	0.1%
Venango County, Pennsylvania, USA	1	0.1%
Vermont, USA	1	0.1%
Vienna, New York, USA	1	0.1%
Warren, New Jersey, USA	1	0.1%
Washington County, Ohio, USA	1	0.1%
Washington, Maryland, USA	1	0.1%
Washington, Pennsylvania, USA	1	0.1%
Wastemich [?], Ireland	1	0.1%
Wayne, Pennsylvania, USA	1	0.1%
West Brommich, England	1	0.1%
West Virginia, USA	1	0.1%
Whitely [?] Creek, Delaware, USA	1	0.1%
Wilmington, Christianna, Delaware, USA	1	0.1%
Yorkshire County, England	1	0.1%
Yorkshire, England	1	0.1%
near Trenton, Mercer, New Jersey, USA	1	0.1%

Birthplace

Abershrice [?], France	1	0.1%
Adams, Pennsylvania, USA	33	2.1%
Aix-la Chapelle, France	1	0.1%
Albany, New York, USA	3	0.2%
Alegheny, New York, USA	1	0.1%
Allegheny City, Allegheny, Pennsylvania, USA	1	0.1%
Allegheny, Pennsylvania, USA	4	0.3%
Allsburg, Germany	1	0.1%
Amley, New Jersey, USA	1	0.1%
Amsterdam, New York, USA	1	0.1%
Antrim County, Ireland	2	0.1%
Antrim, Ireland	6	0.4%
Armagh, Ireland	3	0.2%
Armaugh County, Ireland	1	0.1%
Armstrong, Pennsylvania, USA	3	0.2%
Atlantic City, New Jersey, USA	1	0.1%
Augusta, Maine, USA	1	0.1%
Ayrshire, Scotland	1	0.1%
Baden, Germany	3	0.2%
Balcastle, Ireland	1	0.1%
Baltimore, Maryland, USA	9	0.6%
Bangdon, Ireland	1	0.1%
Bavaria	3	0.2%
Bavaria, Germany	1	0.1%
Beaver, Pennsylvania, USA	1	0.1%
Bedford, Pennsylvania, USA	62	3.9%
Belfast, Ireland	3	0.2%
Belgium	1	0.1%
Belleforte, Pennsylvania, USA	1	0.1%
Bellfonte, Pennsylvania, USA	1	0.1%
Berks, Pennsylvania, USA	6	0.4%
Birmingham, Pennsylvania, USA	1	0.1%
Blackwood, New Jersey, USA	1	0.1%
Blair, Pennsylvania, USA	1	0.1%
Boston, Massachusetts, USA	5	0.3%
Bradford, Pennsylvania, USA	2	0.1%
Bristol, Pennsylvania, USA	3	0.2%
Brooklyn, New York, USA	1	0.1%
Brun, Germany	1	0.1%
Bucks County [?], Pennsylvania, USA	1	0.1%
Bucks, Pennsylvania, USA	9	0.6%
Burlington, New Jersey, USA	4	0.3%
Butler, Pennsylvania, USA	2	0.1%
Cambria, Pennsylvania, USA	4	0.3%
Cambridge, Massachusetts, USA	1	0.1%
Camden [City?], Camden, New Jersey, USA	2	0.1%
Camden [city?], Camden, New Jersey, USA	1	0.1%
Canada	14	0.9%
Canandaigua, New York, USA	1	0.1%
Cape May County, New Jersey, USA	1	0.1%
Cardiff, Wales	1	0.1%
Carlile, Pennsylvania, USA	1	0.1%
Carlisle, England	3	0.2%
Carlon, Ireland	2	0.1%
Catawissa, Pennsylvania, USA	1	0.1%
Cecil County, Maryland, USA	2	0.1%
Centre, Pennsylvania, USA	1	0.1%
Charleston, South Carolina, USA	1	0.1%
Cheltenham, England	1	0.1%
Chester, England	1	0.1%
Chester, Pennsylvania, USA	16	1.0%
Cicle [??], Ohio, USA	1	0.1%
Cincinnati, Ohio, USA	2	0.1%
Clarion, Pennsylvania, USA	1	0.1%
Clearfield, Pennsylvania, USA	2	0.1%
Coatesville, Pennsylvania, USA	1	0.1%
Columbia, Lancaster, Pennsylvania, USA	1	0.1%
Columbia, Pennsylvania, USA	1	0.1%
Cork, Ireland	2	0.1%
County Antrim, Ireland	2	0.1%
County Cork, Ireland	1	0.1%
County Tyrone, Ireland	3	0.2%
Cumberland, England	1	0.1%
Cumberland, Pennsylvania, USA	1	0.1%
Danagle, Ireland	1	0.1%
Danvers, Massachusetts, USA	1	0.1%
Dauphin, Pennsylvania, USA	5	0.3%
Delaware [County], Pennsylvania, USA	1	0.1%
Delaware, Pennsylvania, USA	9	0.6%
Delaware, USA	2	0.1%
Denegahl, Ireland	1	0.1%
Denegall, Ireland	1	0.1%
Dengal County, Ireland	1	0.1%
Denigal County, Ireland	1	0.1%
Denigall, Ireland	1	0.1%
Denighal, Ireland	3	0.2%
Dennagal, Ireland	1	0.1%
Denngal, Ireland	1	0.1%
Derry County, Ireland	4	0.3%
Derry, Ireland	11	0.7%
Devon, Ireland	1	0.1%
Dochester, Maryland, USA	1	0.1%
Donagaul, Ireland	1	0.1%
Donegal County, Ireland	1	0.1%
Donegal, Ireland	9	0.6%
Donnegall, Ireland	1	0.1%
Doug County, Ireland	1	0.1%
Dover, England	1	0.1%
Dover, York, Pennsylvania, USA	1	0.1%
Down County, Ireland	1	0.1%
Down, Ireland	1	0.1%
Drummond, Virginia, USA	1	0.1%
Dublin	1	0.1%
Dublin, Ireland	7	0.4%
Dutchess County, New York, USA	1	0.1%
Easton, Northampton, Pennsylvania, USA	6	0.4%
England	36	2.3%
Entrim, Ireland	1	0.1%
Essex County, Delaware, USA	1	0.1%
Fermana, Ireland	2	0.1%
Ferth, Scotland	1	0.1%
France	10	0.6%
Franklin, Pennsylvania, USA	2	0.1%
Galway, Ireland	2	0.1%
Georgetown [?], Delaware, USA	1	0.1%
Georgetown, Delaware, USA	1	0.1%
Georgia, USA	2	0.1%
Gerglasuen, Ireland	2	0.1%
Germany	62	3.9%
Glasgow, Scotland	2	0.1%
Gloucester, New Jersey, USA	1	0.1%
Haddonfield, New Jersey, USA	1	0.1%
Harrisburg, Dauphin, Pennsylvania, USA	5	0.3%
Hartford, Connecticut, USA	1	0.1%
Hesse Cassel, Germany	1	0.1%
Holland, Germany	1	0.1%
Holland, Massachusetts, USA	1	0.1%
Hollidaysburg, Blair, Pennsylvania, USA	3	0.2%
Hudson, New York, USA	1	0.1%
Huntingdon, Pennsylvania, USA	1	0.1%
Illinois, USA	1	0.1%
Indiana County, Pennsylvania, USA	1	0.1%
Indiana, USA	1	0.1%
Ireland	122	7.8%
Jefferson County, Pennsylvania, USA	1	0.1%
Juniata, Pennsylvania, USA	2	0.1%
Kilkenny, Ireland	1	0.1%
Killdare, Ireland	2	0.1%
Lanark, Scotland	1	0.1%
Lanarkshire, Scotland	2	0.1%
Lancashire, England	4	0.3%
Lancaster, England	1	0.1%
Lancaster, Pennsylvania, USA	11	0.7%
Lanchisier, England	1	0.1%
Langford, England	1	0.1%
Lanohill [?], New York, USA	1	0.1%
Lathvan, Ireland	1	0.1%
Lebanon, Pennsylvania, USA	1	0.1%
Leitchfield [?], Connecticut, USA	1	0.1%
Lestershire, England	1	0.1%
Lewistown, Delaware, USA	1	0.1%
Liverpool, England	2	0.1%
Londenderry, Ireland	1	0.1%
London, England	4	0.3%
Londonderry, Ireland	3	0.2%
Louth, Ireland	1	0.1%
Lurgan, Ireland	1	0.1%
Malta	1	0.1%
Manchester, England	5	0.3%
Marion, Ireland	1	0.1%
Martinsburg, Pennsylvania, USA	1	0.1%
Maryland, USA	3	0.2%
Mauch Chuck, Pennsylvania, USA	1	0.1%
Mauch Chunk, Pennsylvania, USA	1	0.1%
Medford, New Jersey, USA	1	0.1%
Melton, Ireland	1	0.1%
Menallen, Adams, Pennsylvania, USA	1	0.1%
Mexico, Juniata, Pennsylvania, USA	1	0.1%
Middlesex, New Jersey, USA	1	0.1%
Middleton, Pennsylvania, USA	1	0.1%
Millville, Cumberland, New Jersey, USA	1	0.1%
Millville, New Jersey, USA	1	0.1%
Milton, Delaware, USA	1	0.1%
Milton, Northumberland, Pennsylvania, USA	13	0.8%
Molton, England	1	0.1%
Monaghan, Ireland	2	0.1%
Monchen, Ireland	1	0.1%
Monmouth County, New Jersey, USA	1	0.1%
Monmouth, Wales	1	0.1%
Monroe, Pennsylvania, USA	3	0.2%
Montgomery, Pennsylvania, USA	12	0.8%
Montour, Pennsylvania, USA	2	0.1%
Mount Joy, Pennsylvania, USA	1	0.1%
Munster, Ireland	1	0.1%
Nether Providence, Delaware, USA	1	0.1%
New Albany, Indiana, USA	1	0.1%
New Brunswick, Canada	1	0.1%
New Castle, Delaware, USA	4	0.3%
New Jersey, USA	8	0.5%
New Township, Pennsylvania, USA	1	0.1%
New York, New York, USA	11	0.7%
New York, USA	16	1.0%
Newburgh, Ireland	1	0.1%
Newburn, North Carolina, USA	1	0.1%
Norfolk, Virginia, USA	1	0.1%
Norristown, Montgomery, Pennsylvania, USA	6	0.4%
North East, Pennsylvania, USA	1	0.1%
Northampton, England	1	0.1%
Northumberland, Pennsylvania, USA	7	0.4%
Nova Scotia, Halifax, Canada	1	0.1%
Ohio, USA	1	0.1%
Oneida, New York, USA	1	0.1%
Oswego County, New York, USA	1	0.1%
Otugo, New York, USA	1	0.1%
Paisely, Scotland	1	0.1%
Paris, France	2	0.1%
Pasely, Scotland	1	0.1%
Patterson, New Jersey, USA	1	0.1%
Pavia, Bedford, Pennsylvania, USA	1	0.1%
Pennsylania, USA	1	0.1%
Pennsylvania, USA	128	8.1%
Penpruche, Scotland	1	0.1%
Philadelphia, Pennsylvania, USA	524	33.3%
Philadelpia, Pennsylvania, USA	1	0.1%
Pickaway, Ohio, USA	1	0.1%
Pittsburgh, Allegheny, Pennsylvania, USA	3	0.2%
Plymouth, England	1	0.1%
Poland	1	0.1%
Port Elizabeth, New Jersey, USA	1	0.1%
Pottsville, Schuylkill, Pennsylvania, USA	2	0.1%
Prince George County, Maryland, USA	1	0.1%
Prussia	6	0.4%
Prussia, Germany	2	0.1%
Queens County, Ireland	1	0.1%
Reading, Berks, Pennsylvania, USA	1	0.1%
Roxborough, Pennsylvania, USA	1	0.1%
Rutland County, Vermont, USA	1	0.1%
Salem, New Jersey, USA	4	0.3%
Sand Lake, Rensselaer County, New York, USA	1	0.1%
Sarah Furnace, Pennsylvania, USA	1	0.1%
Saxon, Germany	2	0.1%
Schurzburg, Germany	1	0.1%
Schuylkill Haven, Pennsylvania, USA	1	0.1%
Scotland	11	0.7%
Sheffield, England	1	0.1%
Shippen, Cameron, Pennsylvania, USA	1	0.1%
Somerset, Pennsylvania, USA	1	0.1%
Spain	2	0.1%
Spanish Town, Jamaica	1	0.1%
St Bridget, Canada	1	0.1%
St John, New Brunswick, Canada	1	0.1%
St Johns, New Brunswick, Canada	1	0.1%
Stafford County, England	1	0.1%
Staffordshire, England	1	0.1%
Stanton, Delaware, USA	1	0.1%
Stoltest, Germany	1	0.1%
Strausborg, France	1	0.1%
Switzerland	7	0.4%
Tamaqua, Pennsylvania, USA	1	0.1%
Thomson Ville, Connecticut, USA	1	0.1%
Tipperary, Ireland	1	0.1%
Tirone County, Ireland	2	0.1%
Tirone, Ireland	2	0.1%
Toronto, Canada	1	0.1%
Trenton, Mercer, New Jersey, USA	1	0.1%
Trenton, New Jersey, USA	1	0.1%
Trin, Germany	1	0.1%
Tyrol, Germany	1	0.1%
Tyrone County, Ireland	3	0.2%
Tyrone, Ireland	16	1.0%
Union County, Pennsylvania, USA	1	0.1%
Upper Providence, Pennsylvania, USA	1	0.1%
Utica, New York, USA	1	0.1%
Venango County, Pennsylvania, USA	1	0.1%
Vermont, USA	1	0.1%
Vienna, New York, USA	1	0.1%
Virginia, USA	2	0.1%
Wales	2	0.1%
Warford, Ireland	2	0.1%
Warren, New Jersey, USA	1	0.1%
Washington County, Ohio, USA	1	0.1%
Washington, Maryland, USA	1	0.1%
Washington, Pennsylvania, USA	1	0.1%
Wastemich [?], Ireland	1	0.1%
Waterford, Ireland	2	0.1%
Wayne, Pennsylvania, USA	1	0.1%
West Brommich, England	1	0.1%
West Chester, Chester, Pennsylvania, USA	3	0.2%
West Virginia, USA	1	0.1%
Whitely [?] Creek, Delaware, USA	1	0.1%
Wilmington, Christianna, Delaware, USA	1	0.1%
Wilmington, Delaware, USA	3	0.2%
Wurtemburg, Germany	2	0.1%
York County, Pennsylvania, USA	3	0.2%
York, Pennsylvania, USA	2	0.1%
Yorkshire County, England	1	0.1%
Yorkshire, England	1	0.1%
[unknown]	445	%
near Trenton, Mercer, New Jersey, USA	1	0.1%

Birth country, in frequency order, from regimental records

USA	1088	69.1%
[unknown]	445	%
Ireland	252	16.0%
Germany	80	5.1%
England	71	4.5%
Scotland	21	1.3%
Canada	20	1.3%
France	15	1.0%
Switzerland	7	0.4%
Prussia	6	0.4%
Wales	4	0.3%
Bavaria	3	0.2%
Spain	2	0.1%
Belgium	1	0.1%
Dublin	1	0.1%
Jamaica	1	0.1%
Malta	1	0.1%
Poland	1	0.1%

Birth country, in frequency order, from regimental records, with supplements

USA	1203	70.6%
[unknown]	315	%
Ireland	259	15.2%
Germany	82	4.8%
England	73	4.3%
Scotland	21	1.2%
Canada	20	1.2%
France	15	0.9%
Prussia	7	0.4%
Switzerland	7	0.4%
Wales	4	0.2%
Bavaria	3	0.2%
Spain	2	0.1%
Belgium	1	0.1%
Dublin	1	0.1%
Hanover	1	0.1%
Jamaica	1	0.1%
Malta	1	0.1%
Mexico	1	0.1%
Poland	1	0.1%
Saxon-Meiningen	1	0.1%

Birth country

Bavaria	3	0.2%
Belgium	1	0.1%
Canada	20	1.3%
Dublin	1	0.1%
England	71	4.5%
France	15	1.0%
Germany	80	5.1%
Ireland	252	16.0%
Jamaica	1	0.1%
Malta	1	0.1%
Poland	1	0.1%
Prussia	6	0.4%
Scotland	21	1.3%
Spain	2	0.1%
Switzerland	7	0.4%
USA	1088	69.1%
Wales	4	0.3%
[unknown]	445	%

Complexion

dark	567	35.8%
light	533	33.7%
[unknown]	437	%
fair	371	23.5%
florid	53	3.4%
ruddy	17	1.1%
sandy	17	1.1%
brown	6	0.4%
hazel	3	0.2%
medium	3	0.2%
sallow	3	0.2%
blue	2	0.1%
fresh	2	0.1%
grey	2	0.1%
black	1	0.1%
darkish	1	0.1%
mixed	1	0.1%

Court martials

not court martialed	1985	98.3%
court martialed	34	1.7%

Eye color

blue	562	35.5%
grey	475	30.0%
[unknown]	438	%
hazel	236	14.9%
dark	136	8.6%
brown	96	6.1%
light	45	2.8%
black	24	1.5%
dark blue	2	0.1%
light blue	2	0.1%
dark grey	1	0.1%
fair	1	0.1%
light brown	1	0.1%

Eye color, hair color, and complexion

[unknown], [unknown], [unknown]	435	21.5%
blue, light, light	137	6.8%
grey, dark, dark	90	4.5%
grey, light, light	84	4.2%
dark, dark, dark	83	4.1%
blue, brown, fair	72	3.6%
blue, dark, dark	70	3.5%
hazel, dark, dark	52	2.6%
grey, brown, fair	47	2.3%
blue, brown, light	42	2.1%
brown, dark, dark	35	1.7%
blue, light, fair	33	1.6%
grey, brown, dark	31	1.5%
grey, light, fair	30	1.5%
blue, dark, light	29	1.4%
grey, brown, light	29	1.4%
grey, dark, fair	28	1.4%
hazel, brown, fair	26	1.3%
grey, dark, light	25	1.2%
hazel, light, light	25	1.2%
blue, brown, dark	24	1.2%
blue, dark, fair	23	1.1%
light, light, light	22	1.1%
grey, black, dark	21	1.0%
hazel, black, dark	18	0.9%
blue, sandy, fair	17	0.8%
hazel, brown, light	17	0.8%
hazel, dark, fair	16	0.8%
hazel, brown, dark	15	0.7%
brown, brown, dark	13	0.6%
dark, black, dark	12	0.6%
hazel, dark, light	11	0.5%
hazel, light, fair	11	0.5%
black, black, dark	10	0.5%
dark, dark, light	10	0.5%
blue, brown, florid	9	0.4%
blue, grey, light	9	0.4%
brown, black, dark	9	0.4%
brown, dark, light	9	0.4%
blue, black, dark	8	0.4%
blue, light, dark	8	0.4%
brown, brown, fair	8	0.4%
blue, grey, dark	7	0.3%
blue, sandy, florid	7	0.3%
blue, sandy, light	7	0.3%
light, dark, light	7	0.3%
blue, black, fair	6	0.3%
grey, black, light	6	0.3%
blue, light brown, light	5	0.2%
blue, light, florid	5	0.2%
grey, brown, florid	5	0.2%
grey, brown, ruddy	5	0.2%
grey, dark, florid	5	0.2%
grey, grey, light	5	0.2%
grey, light, dark	5	0.2%
hazel, sandy, fair	5	0.2%
hazel, sandy, florid	5	0.2%
black, dark, dark	4	0.2%
brown, brown, light	4	0.2%
brown, light, light	4	0.2%
dark, dark, fair	4	0.2%
grey, black, fair	4	0.2%
grey, red, light	4	0.2%
grey, sandy, fair	4	0.2%
hazel, black, fair	4	0.2%
hazel, grey, light	4	0.2%
light, dark, dark	4	0.2%
black, brown, dark	3	0.1%
blue, auburn, light	3	0.1%
blue, grey, fair	3	0.1%
brown, dark, fair	3	0.1%
brown, grey, dark	3	0.1%
dark, brown, dark	3	0.1%
dark, brown, light	3	0.1%
dark, grey, dark	3	0.1%
grey, light brown, light	3	0.1%
grey, sandy, light	3	0.1%
grey, sandy, sandy	3	0.1%
hazel, brown, florid	3	0.1%
hazel, grey, dark	3	0.1%
light, light, fair	3	0.1%
light, sandy, sandy	3	0.1%
[unknown], dark, dark	2	0.1%
black, black, light	2	0.1%
blue, brown, brown	2	0.1%
blue, brown, medium	2	0.1%
blue, chestnut, dark	2	0.1%
blue, dark brown, light	2	0.1%
blue, dark, florid	2	0.1%
blue, light, ruddy	2	0.1%
blue, red, light	2	0.1%
brown, light, fair	2	0.1%
brown, red, light	2	0.1%
dark, brown, fair	2	0.1%
dark, dark, hazel	2	0.1%
dark, light, dark	2	0.1%
dark, light, light	2	0.1%
grey, auburn, fair	2	0.1%
grey, black, brown	2	0.1%
grey, chestnut, light	2	0.1%
grey, dark brown, dark	2	0.1%
grey, dark, ruddy	2	0.1%
grey, grey, dark	2	0.1%
grey, grey, fair	2	0.1%
grey, light, florid	2	0.1%
grey, mixed, dark	2	0.1%
grey, sandy, dark	2	0.1%
hazel, dark brown, light	2	0.1%
hazel, dark, florid	2	0.1%
hazel, dark, ruddy	2	0.1%
hazel, dark, sandy	2	0.1%
hazel, sandy, dark	2	0.1%
hazel, sandy, light	2	0.1%
light blue, dark brown, fair	2	0.1%
light, light, dark	2	0.1%
[unknown], fair, florid	1	0.0%
black, brown, fair	1	0.0%
black, grey, dark	1	0.0%
black, light, fair	1	0.0%
black, light, light	1	0.0%
black, lightish, dark	1	0.0%
blue, auburn, fair	1	0.0%
blue, auburn, sandy	1	0.0%
blue, black, florid	1	0.0%
blue, black, light	1	0.0%
blue, black, sallow	1	0.0%
blue, brown, sandy	1	0.0%
blue, chestnut, light	1	0.0%
blue, dark auburn, light	1	0.0%
blue, dark, ruddy	1	0.0%
blue, dark, sandy	1	0.0%
blue, fair, fair	1	0.0%
blue, fair, light	1	0.0%
blue, grey, florid	1	0.0%
blue, light, [unknown]	1	0.0%
blue, light, brown	1	0.0%
blue, light, fresh	1	0.0%
blue, light, sandy	1	0.0%
blue, mixed, dark	1	0.0%
blue, mixed, fair	1	0.0%
blue, red, fair	1	0.0%
blue, red, ruddy	1	0.0%
blue, sandy, dark	1	0.0%
blue, sandy, ruddy	1	0.0%
blue, sandy, sandy	1	0.0%
brown, [unknown], fair	1	0.0%
brown, brown, florid	1	0.0%
brown, dark, grey	1	0.0%
brown, dark, sallow	1	0.0%
dark blue, black, dark	1	0.0%
dark blue, brown, dark	1	0.0%
dark grey, black mixed, fair	1	0.0%
dark, brown, blue	1	0.0%
dark, dark, black	1	0.0%
dark, dark, blue	1	0.0%
dark, dark, florid	1	0.0%
dark, dark, grey	1	0.0%
dark, dark, medium	1	0.0%
dark, florid, hazel	1	0.0%
dark, grey, light	1	0.0%
dark, light, fair	1	0.0%
dark, light, florid	1	0.0%
fair, light, fair	1	0.0%
grey, [unknown], sandy	1	0.0%
grey, auburn, light	1	0.0%
grey, black, [unknown]	1	0.0%
grey, black, florid	1	0.0%
grey, dark grey, dark	1	0.0%
grey, dark, brown	1	0.0%
grey, dark, darkish	1	0.0%
grey, dark, sandy	1	0.0%
grey, fair, dark	1	0.0%
grey, grey, sallow	1	0.0%
grey, light brown, dark	1	0.0%
grey, light, fresh	1	0.0%
grey, light, mixed	1	0.0%
grey, light, ruddy	1	0.0%
grey, red, dark	1	0.0%
grey, red, fair	1	0.0%
grey, sandy, florid	1	0.0%
grey, white, dark	1	0.0%
hazel, auburn, dark	1	0.0%
hazel, brown, ruddy	1	0.0%
hazel, dark brown, dark	1	0.0%
hazel, dark brown, ruddy	1	0.0%
hazel, grey, fair	1	0.0%
hazel, light brown, light	1	0.0%
hazel, light, dark	1	0.0%
hazel, red, fair	1	0.0%
hazel, sandy, sandy	1	0.0%
light brown, brown, dark	1	0.0%
light, brown, light	1	0.0%
light, dark, fair	1	0.0%
light, light grey, light	1	0.0%
light, light, sandy	1	0.0%

First name, in frequency order

John	323	16.0%
William	264	13.1%
James	134	6.6%
George	131	6.5%
Charles	90	4.5%
Henry	77	3.8%
Thomas	77	3.8%
Joseph	67	3.3%
Samuel	58	2.9%
David	53	2.6%
Robert	38	1.9%
Edward	35	1.7%
Daniel	34	1.7%
Patrick	32	1.6%
Jacob	29	1.4%
Francis	26	1.3%
Michael	26	1.3%
Isaac	20	1.0%
Alexander	18	0.9%
Andrew	17	0.8%
Peter	17	0.8%
Benjamin	16	0.8%
Frederick	16	0.8%
Albert	12	0.6%
Philip	12	0.6%
Lewis	11	0.5%
Richard	11	0.5%
Franklin	10	0.5%
Adam	9	0.4%
Amos	9	0.4%
Christian	8	0.4%
Martin	8	0.4%
Matthew	8	0.4%
Edwin	7	0.3%
Jeremiah	7	0.3%
Louis	7	0.3%
Stephen	7	0.3%
Aaron	6	0.3%
Hugh	6	0.3%
Reuben	6	0.3%
Sylvester	6	0.3%
Elias	5	0.2%
Theodore	5	0.2%
Abraham	4	0.2%
Alfred	4	0.2%
Augustus	4	0.2%
Elisha	4	0.2%
Emanuel	4	0.2%
Harry	4	0.2%
Hiram	4	0.2%
Howard	4	0.2%
Morris	4	0.2%
Nicholas	4	0.2%
Oscar	4	0.2%
Anthony	3	0.1%
Archibald	3	0.1%
Barney	3	0.1%
Bernard	3	0.1%
Cornelius	3	0.1%
Eli	3	0.1%
Herman	3	0.1%
Israel	3	0.1%
Jesse	3	0.1%
Josiah	3	0.1%
Lawrence	3	0.1%
Simon	3	0.1%
Zachariah	3	0.1%
Abel	2	0.1%
Abner	2	0.1%
Absalom	2	0.1%
Annanias	2	0.1%
Calvin	2	0.1%
Carl	2	0.1%
Conrad	2	0.1%
Dennis	2	0.1%
Edgar	2	0.1%
Enoch	2	0.1%
Ephraim	2	0.1%
Eugene	2	0.1%
Hezekiah	2	0.1%
Jefferson	2	0.1%
Jerome	2	0.1%
Jonathan	2	0.1%
Joshua	2	0.1%
Marcus	2	0.1%
Mark	2	0.1%
Matthias	2	0.1%
Monroe	2	0.1%
Newton	2	0.1%
Noah	2	0.1%
Owen	2	0.1%
Ralph	2	0.1%
Sebastian	2	0.1%
Silas	2	0.1%
Solomon	2	0.1%
Valentine	2	0.1%
Winchester	2	0.1%
Adolph	1	0.0%
Adolphus	1	0.0%
Adrian	1	0.0%
Alem	1	0.0%
Alma	1	0.0%
Aloysius	1	0.0%
Alpheus	1	0.0%
Alva	1	0.0%
Alvin	1	0.0%
Ambrose	1	0.0%
Analzo	1	0.0%
Ansel	1	0.0%
Antonia	1	0.0%
Antonie	1	0.0%
Arthur	1	0.0%
Asa	1	0.0%
Asher	1	0.0%
Ashman	1	0.0%
Augustine	1	0.0%
Barnard	1	0.0%
Barnett	1	0.0%
Bartholomew	1	0.0%
Bartly	1	0.0%
Benneville	1	0.0%
Bently	1	0.0%
Casper	1	0.0%
Chester	1	0.0%
Cornell	1	0.0%
Cyrus	1	0.0%
Deitrick	1	0.0%
Dennison	1	0.0%
Dilman	1	0.0%
Donald	1	0.0%
Draper	1	0.0%
Elbert	1	0.0%
Elliott	1	0.0%
Emmor	1	0.0%
Enos	1	0.0%
Foman	1	0.0%
Frank	1	0.0%
Freeman	1	0.0%
Garrett	1	0.0%
Gerhard	1	0.0%
Godfried	1	0.0%
Gottlieb	1	0.0%
Griffith	1	0.0%
Gustavus	1	0.0%
H	1	0.0%
Hamilton	1	0.0%
Harold	1	0.0%
Harrison	1	0.0%
Hazlett	1	0.0%
Herbert	1	0.0%
Homer	1	0.0%
Horace	1	0.0%
Hosea	1	0.0%
Howell	1	0.0%
Isaacher	1	0.0%
Isaiah	1	0.0%
J	1	0.0%
Jackson	1	0.0%
Japhet	1	0.0%
Jean	1	0.0%
Jennings	1	0.0%
Jerret	1	0.0%
Jerry	1	0.0%
Jervis	1	0.0%
Job	1	0.0%
Joel	1	0.0%
Johnson	1	0.0%
Jones	1	0.0%
Justus	1	0.0%
Kersey	1	0.0%
Kingsley	1	0.0%
Leroy	1	0.0%
Levi	1	0.0%
Lorenzo	1	0.0%
Luke	1	0.0%
Mahlon	1	0.0%
Malachi	1	0.0%
Mansfield	1	0.0%
Maurice	1	0.0%
Maxillus	1	0.0%
Mayberry	1	0.0%
Meriners	1	0.0%
Merritt	1	0.0%
Miles	1	0.0%
Milton	1	0.0%
Montgomery	1	0.0%
Mordecai	1	0.0%
Morrison	1	0.0%
Nathan	1	0.0%
Neil	1	0.0%
Nesbit	1	0.0%
Norman	1	0.0%
Oliver	1	0.0%
Orlando	1	0.0%
Osborn	1	0.0%
Otho	1	0.0%
Paul	1	0.0%
Penrose	1	0.0%
Preston	1	0.0%
Randolph	1	0.0%
Rinard	1	0.0%
Rudolph	1	0.0%
Salathiel	1	0.0%
Sanford	1	0.0%
Sephronas	1	0.0%
Simeon	1	0.0%
Steven	1	0.0%
Theophilus	1	0.0%
W	1	0.0%
Wade	1	0.0%
Walter	1	0.0%
Washington	1	0.0%
Wilbur	1	0.0%
Wilfred	1	0.0%
Xopher	1	0.0%

First name

Aaron	6	0.3%
Abel	2	0.1%
Abner	2	0.1%
Abraham	4	0.2%
Absalom	2	0.1%
Adam	9	0.4%
Adolph	1	0.0%
Adolphus	1	0.0%
Adrian	1	0.0%
Albert	12	0.6%
Alem	1	0.0%
Alexander	18	0.9%
Alfred	4	0.2%
Alma	1	0.0%
Aloysius	1	0.0%
Alpheus	1	0.0%
Alva	1	0.0%
Alvin	1	0.0%
Ambrose	1	0.0%
Amos	9	0.4%
Analzo	1	0.0%
Andrew	17	0.8%
Annanias	2	0.1%
Ansel	1	0.0%
Anthony	3	0.1%
Antonia	1	0.0%
Antonie	1	0.0%
Archibald	3	0.1%
Arthur	1	0.0%
Asa	1	0.0%
Asher	1	0.0%
Ashman	1	0.0%
Augustine	1	0.0%
Augustus	4	0.2%
Barnard	1	0.0%
Barnett	1	0.0%
Barney	3	0.1%
Bartholomew	1	0.0%
Bartly	1	0.0%
Benjamin	16	0.8%
Benneville	1	0.0%
Bently	1	0.0%
Bernard	3	0.1%
Calvin	2	0.1%
Carl	2	0.1%
Casper	1	0.0%
Charles	90	4.5%
Chester	1	0.0%
Christian	8	0.4%
Conrad	2	0.1%
Cornelius	3	0.1%
Cornell	1	0.0%
Cyrus	1	0.0%
Daniel	34	1.7%
David	53	2.6%
Deitrick	1	0.0%
Dennis	2	0.1%
Dennison	1	0.0%
Dilman	1	0.0%
Donald	1	0.0%
Draper	1	0.0%
Edgar	2	0.1%
Edward	35	1.7%
Edwin	7	0.3%
Elbert	1	0.0%
Eli	3	0.1%
Elias	5	0.2%
Elisha	4	0.2%
Elliott	1	0.0%
Emanuel	4	0.2%
Emmor	1	0.0%
Enoch	2	0.1%
Enos	1	0.0%
Ephraim	2	0.1%
Eugene	2	0.1%
Foman	1	0.0%
Francis	26	1.3%
Frank	1	0.0%
Franklin	10	0.5%
Frederick	16	0.8%
Freeman	1	0.0%
Garrett	1	0.0%
George	131	6.5%
Gerhard	1	0.0%
Godfried	1	0.0%
Gottlieb	1	0.0%
Griffith	1	0.0%
Gustavus	1	0.0%
H	1	0.0%
Hamilton	1	0.0%
Harold	1	0.0%
Harrison	1	0.0%
Harry	4	0.2%
Hazlett	1	0.0%
Henry	77	3.8%
Herbert	1	0.0%
Herman	3	0.1%
Hezekiah	2	0.1%
Hiram	4	0.2%
Homer	1	0.0%
Horace	1	0.0%
Hosea	1	0.0%
Howard	4	0.2%
Howell	1	0.0%
Hugh	6	0.3%
Isaac	20	1.0%
Isaacher	1	0.0%
Isaiah	1	0.0%
Israel	3	0.1%
J	1	0.0%
Jackson	1	0.0%
Jacob	29	1.4%
James	134	6.6%
Japhet	1	0.0%
Jean	1	0.0%
Jefferson	2	0.1%
Jennings	1	0.0%
Jeremiah	7	0.3%
Jerome	2	0.1%
Jerret	1	0.0%
Jerry	1	0.0%
Jervis	1	0.0%
Jesse	3	0.1%
Job	1	0.0%
Joel	1	0.0%
John	323	16.0%
Johnson	1	0.0%
Jonathan	2	0.1%
Jones	1	0.0%
Joseph	67	3.3%
Joshua	2	0.1%
Josiah	3	0.1%
Justus	1	0.0%
Kersey	1	0.0%
Kingsley	1	0.0%
Lawrence	3	0.1%
Leroy	1	0.0%
Levi	1	0.0%
Lewis	11	0.5%
Lorenzo	1	0.0%
Louis	7	0.3%
Luke	1	0.0%
Mahlon	1	0.0%
Malachi	1	0.0%
Mansfield	1	0.0%
Marcus	2	0.1%
Mark	2	0.1%
Martin	8	0.4%
Matthew	8	0.4%
Matthias	2	0.1%
Maurice	1	0.0%
Maxillus	1	0.0%
Mayberry	1	0.0%
Meriners	1	0.0%
Merritt	1	0.0%
Michael	26	1.3%
Miles	1	0.0%
Milton	1	0.0%
Monroe	2	0.1%
Montgomery	1	0.0%
Mordecai	1	0.0%
Morris	4	0.2%
Morrison	1	0.0%
Nathan	1	0.0%
Neil	1	0.0%
Nesbit	1	0.0%
Newton	2	0.1%
Nicholas	4	0.2%
Noah	2	0.1%
Norman	1	0.0%
Oliver	1	0.0%
Orlando	1	0.0%
Osborn	1	0.0%
Oscar	4	0.2%
Otho	1	0.0%
Owen	2	0.1%
Patrick	32	1.6%
Paul	1	0.0%
Penrose	1	0.0%
Peter	17	0.8%
Philip	12	0.6%
Preston	1	0.0%
Ralph	2	0.1%
Randolph	1	0.0%
Reuben	6	0.3%
Richard	11	0.5%
Rinard	1	0.0%
Robert	38	1.9%
Rudolph	1	0.0%
Salathiel	1	0.0%
Samuel	58	2.9%
Sanford	1	0.0%
Sebastian	2	0.1%
Sephronas	1	0.0%
Silas	2	0.1%
Simeon	1	0.0%
Simon	3	0.1%
Solomon	2	0.1%
Stephen	7	0.3%
Steven	1	0.0%
Sylvester	6	0.3%
Theodore	5	0.2%
Theophilus	1	0.0%
Thomas	77	3.8%
Valentine	2	0.1%
W	1	0.0%
Wade	1	0.0%
Walter	1	0.0%
Washington	1	0.0%
Wilbur	1	0.0%
Wilfred	1	0.0%
William	264	13.1%
Winchester	2	0.1%
Xopher	1	0.0%
Zachariah	3	0.1%

Hair color

dark	535	33.8%
[unknown]	437	%
light	393	24.8%
brown	373	23.6%
black	108	6.8%
sandy	65	4.1%
grey	46	2.9%
red	13	0.8%
dark brown	10	0.6%
light brown	10	0.6%
auburn	9	0.6%
chestnut	5	0.3%
fair	4	0.3%
mixed	4	0.3%
black mixed	1	0.1%
dark auburn	1	0.1%
dark grey	1	0.1%
florid	1	0.1%
light grey	1	0.1%
lightish	1	0.1%
white	1	0.1%

Height (in inches), in frequency order

[unknown]	438	%
66.0	159	10.1%
68.0	151	9.6%
67.0	149	9.4%
65.0	107	6.8%
69.0	99	6.3%
64.0	89	5.6%
70.0	84	5.3%
67.5	75	4.7%
65.5	65	4.1%
66.5	64	4.0%
68.5	64	4.0%
64.5	52	3.3%
71.0	33	2.1%
69.5	32	2.0%
72.0	31	2.0%
70.5	29	1.8%
63.0	29	1.8%
63.5	24	1.5%
71.5	17	1.1%
66.75	15	0.9%
64.75	14	0.9%
66.25	12	0.8%
67.75	12	0.8%
60.0	12	0.8%
65.75	11	0.7%
65.25	11	0.7%
62.5	11	0.7%
68.75	9	0.6%
67.25	9	0.6%
62.0	9	0.6%
63.75	8	0.5%
73.0	7	0.4%
63.25	6	0.4%
74.0	5	0.3%
68.25	5	0.3%
61.5	5	0.3%
73.5	4	0.3%
64.25	4	0.3%
69.25	4	0.3%
62.75	4	0.3%
61.75	4	0.3%
62.25	3	0.2%
65.875	2	0.1%
75.0	2	0.1%
59.625	2	0.1%
62.625	2	0.1%
61.125	2	0.1%
65.125	2	0.1%
70.75	2	0.1%
60.75	2	0.1%
60.5	2	0.1%
72.75	2	0.1%
68.125	2	0.1%
66.125	2	0.1%
69.875	1	0.1%
68.375	1	0.1%
64.375	1	0.1%
75.625	1	0.1%
67.375	1	0.1%
72.5	1	0.1%
60.875	1	0.1%
65.375	1	0.1%
61.0	1	0.1%
75.25	1	0.1%
69.75	1	0.1%
55.5	1	0.1%
59.75	1	0.1%
66.375	1	0.1%
67.125	1	0.1%
64.625	1	0.1%
69.125	1	0.1%
53.0	1	0.1%
59.0	1	0.1%
64.875	1	0.1%

Height (in inches)

53.0	1	0.1%
55.5	1	0.1%
59.0	1	0.1%
59.625	2	0.1%
59.75	1	0.1%
60.0	12	0.8%
60.5	2	0.1%
60.75	2	0.1%
60.875	1	0.1%
61.0	1	0.1%
61.125	2	0.1%
61.5	5	0.3%
61.75	4	0.3%
62.0	9	0.6%
62.25	3	0.2%
62.5	11	0.7%
62.625	2	0.1%
62.75	4	0.3%
63.0	29	1.8%
63.25	6	0.4%
63.5	24	1.5%
63.75	8	0.5%
64.0	89	5.6%
64.25	4	0.3%
64.375	1	0.1%
64.5	52	3.3%
64.625	1	0.1%
64.75	14	0.9%
64.875	1	0.1%
65.0	107	6.8%
65.125	2	0.1%
65.25	11	0.7%
65.375	1	0.1%
65.5	65	4.1%
65.75	11	0.7%
65.875	2	0.1%
66.0	159	10.1%
66.125	2	0.1%
66.25	12	0.8%
66.375	1	0.1%
66.5	64	4.0%
66.75	15	0.9%
67.0	149	9.4%
67.125	1	0.1%
67.25	9	0.6%
67.375	1	0.1%
67.5	75	4.7%
67.75	12	0.8%
68.0	151	9.6%
68.125	2	0.1%
68.25	5	0.3%
68.375	1	0.1%
68.5	64	4.0%
68.75	9	0.6%
69.0	99	6.3%
69.125	1	0.1%
69.25	4	0.3%
69.5	32	2.0%
69.75	1	0.1%
69.875	1	0.1%
70.0	84	5.3%
70.5	29	1.8%
70.75	2	0.1%
71.0	33	2.1%
71.5	17	1.1%
72.0	31	2.0%
72.5	1	0.1%
72.75	2	0.1%
73.0	7	0.4%
73.5	4	0.3%
74.0	5	0.3%
75.0	2	0.1%
75.25	1	0.1%
75.625	1	0.1%
[unknown]	438	%

Height (in inches), summary

based on 1581 instances
minimum	53.0 inches
maximum	75.625 inches
median	67.0 inches
mode	66.0: 159 instances
mean	66.9 inches
standard deviation	2.53

Height (volunteers only)

based on 1071 instances
minimum	53.0 inches
maximum	75.625 inches
median	67.0 inches
mode	66.0: 117 instances
mean	66.9 inches
standard deviation	2.56

Height (drafted men only)

based on 214 instances
minimum	61.5 inches
maximum	73.0 inches
median	67.75 inches
mode	68.0 / 70.0: 27 instances
mean	67.5 inches
standard deviation	2.19

Height (substitutes only)

based on 291 instances
minimum	60.5 inches
maximum	75.25 inches
median	66.5 inches
mode	68.0: 32 instances
mean	66.5 inches
standard deviation	2.62

Occupation, in frequency order

	657	32.5%
laborer	299	14.8%
farmer	177	8.8%
clerk	74	3.7%
carpenter	50	2.5%
shoemaker	38	1.9%
butcher	34	1.7%
boatman	33	1.6%
painter	29	1.4%
teamster	29	1.4%
weaver	28	1.4%
machinist	21	1.0%
moulder	21	1.0%
sailor	21	1.0%
printer	20	1.0%
blacksmith	18	0.9%
glass blower	18	0.9%
miner	18	0.9%
seaman	17	0.8%
baker	16	0.8%
tailor	15	0.7%
gardener	13	0.6%
bricklayer	11	0.5%
brickmaker	11	0.5%
cigarmaker	11	0.5%
waterman	10	0.5%
miller	9	0.4%
bookbinder	8	0.4%
cooper	8	0.4%
fisherman	8	0.4%
mason	7	0.3%
paperhanger	6	0.3%
cabinet maker	5	0.2%
confectioner	5	0.2%
cordwainer	5	0.2%
engineer	5	0.2%
hatter	5	0.2%
hostler	5	0.2%
huckster	5	0.2%
plasterer	5	0.2%
ship carpenter	5	0.2%
soldier	5	0.2%
stone cutter	5	0.2%
tinsmith	5	0.2%
wheelwright	5	0.2%
grocer	4	0.2%
jeweler	4	0.2%
saddler	4	0.2%
salesman	4	0.2%
stone mason	4	0.2%
basketmaker	3	0.1%
bottler	3	0.1%
chairmaker	3	0.1%
coachmaker	3	0.1%
conductor	3	0.1%
dealer	3	0.1%
driver	3	0.1%
druggist	3	0.1%
drummer	3	0.1%
harness maker	3	0.1%
roller	3	0.1%
roofer	3	0.1%
soapmaker	3	0.1%
tobacconist	3	0.1%
turner	3	0.1%
type founder	3	0.1%
varnisher	3	0.1%
wagonmaker	3	0.1%
bookkeeper	2	0.1%
bootmaker	2	0.1%
boxmaker	2	0.1%
brass turner	2	0.1%
brickmoulder	2	0.1%
broommaker	2	0.1%
brush maker	2	0.1%
carter	2	0.1%
currier	2	0.1%
fireman	2	0.1%
gilder	2	0.1%
grinder	2	0.1%
innkeeper	2	0.1%
nailor	2	0.1%
peddler	2	0.1%
plumber	2	0.1%
railroad worker	2	0.1%
saw grinder	2	0.1%
shipbuilder	2	0.1%
student	2	0.1%
tanner	2	0.1%
vendor	2	0.1%
watchmaker	2	0.1%
whipmaker	2	0.1%
agent	1	0.0%
axemaker	1	0.0%
bar keeper	1	0.0%
barman	1	0.0%
blind maker	1	0.0%
boat builder	1	0.0%
boilermaker	1	0.0%
bonnet presser	1	0.0%
bonnetboard maker	1	0.0%
book finisher	1	0.0%
bootfitter	1	0.0%
brakeman	1	0.0%
brass moulder	1	0.0%
breakman	1	0.0%
brewer	1	0.0%
builder	1	0.0%
carder	1	0.0%
carman	1	0.0%
carriage trimmer	1	0.0%
case maker	1	0.0%
coach trim	1	0.0%
coachman	1	0.0%
coal heaver	1	0.0%
collier	1	0.0%
colourer	1	0.0%
combmaker	1	0.0%
confectionary	1	0.0%
dentist	1	0.0%
dipper	1	0.0%
drayman	1	0.0%
drill master	1	0.0%
dyer	1	0.0%
engraver	1	0.0%
fancy woolen worker	1	0.0%
fifer	1	0.0%
gas finisher	1	0.0%
gentleman	1	0.0%
guilder	1	0.0%
gunsmith	1	0.0%
hairdresser	1	0.0%
heater	1	0.0%
helper	1	0.0%
hopper	1	0.0%
hose maker	1	0.0%
hotel keeper	1	0.0%
ironworker	1	0.0%
ivory turner	1	0.0%
last maker	1	0.0%
leacher	1	0.0%
lead pounder	1	0.0%
leatherworker	1	0.0%
lithographer	1	0.0%
locksmith	1	0.0%
lumberman	1	0.0%
manufacturer	1	0.0%
marble cutter	1	0.0%
mechanic	1	0.0%
merchant	1	0.0%
mill sawyer	1	0.0%
milliner	1	0.0%
millwright	1	0.0%
morocco dresser	1	0.0%
morocco finisher	1	0.0%
newsboy	1	0.0%
night watchman	1	0.0%
operator	1	0.0%
paper dealer	1	0.0%
paper folder	1	0.0%
photographer	1	0.0%
polisher	1	0.0%
porter	1	0.0%
preacher	1	0.0%
pumpmaker	1	0.0%
quarry[worker?]	1	0.0%
railroad employee	1	0.0%
sargent	1	0.0%
scourer	1	0.0%
sheet iron worker	1	0.0%
shoecutter	1	0.0%
silversmith	1	0.0%
smith	1	0.0%
spinner	1	0.0%
spinster	1	0.0%
stock dealer	1	0.0%
storeboy	1	0.0%
storekeeper	1	0.0%
stove maker	1	0.0%
sugar refiner	1	0.0%
surveyor	1	0.0%
teacher	1	0.0%
telegraph operator	1	0.0%
toothmaker	1	0.0%
trucker	1	0.0%
veteran	1	0.0%
wire worker	1	0.0%
wood cutter	1	0.0%
workman	1	0.0%

Occupation

	657	32.5%
agent	1	0.0%
axemaker	1	0.0%
baker	16	0.8%
bar keeper	1	0.0%
barman	1	0.0%
basketmaker	3	0.1%
blacksmith	18	0.9%
blind maker	1	0.0%
boat builder	1	0.0%
boatman	33	1.6%
boilermaker	1	0.0%
bonnet presser	1	0.0%
bonnetboard maker	1	0.0%
book finisher	1	0.0%
bookbinder	8	0.4%
bookkeeper	2	0.1%
bootfitter	1	0.0%
bootmaker	2	0.1%
bottler	3	0.1%
boxmaker	2	0.1%
brakeman	1	0.0%
brass moulder	1	0.0%
brass turner	2	0.1%
breakman	1	0.0%
brewer	1	0.0%
bricklayer	11	0.5%
brickmaker	11	0.5%
brickmoulder	2	0.1%
broommaker	2	0.1%
brush maker	2	0.1%
builder	1	0.0%
butcher	34	1.7%
cabinet maker	5	0.2%
carder	1	0.0%
carman	1	0.0%
carpenter	50	2.5%
carriage trimmer	1	0.0%
carter	2	0.1%
case maker	1	0.0%
chairmaker	3	0.1%
cigarmaker	11	0.5%
clerk	74	3.7%
coach trim	1	0.0%
coachmaker	3	0.1%
coachman	1	0.0%
coal heaver	1	0.0%
collier	1	0.0%
colourer	1	0.0%
combmaker	1	0.0%
conductor	3	0.1%
confectionary	1	0.0%
confectioner	5	0.2%
cooper	8	0.4%
cordwainer	5	0.2%
currier	2	0.1%
dealer	3	0.1%
dentist	1	0.0%
dipper	1	0.0%
drayman	1	0.0%
drill master	1	0.0%
driver	3	0.1%
druggist	3	0.1%
drummer	3	0.1%
dyer	1	0.0%
engineer	5	0.2%
engraver	1	0.0%
fancy woolen worker	1	0.0%
farmer	177	8.8%
fifer	1	0.0%
fireman	2	0.1%
fisherman	8	0.4%
gardener	13	0.6%
gas finisher	1	0.0%
gentleman	1	0.0%
gilder	2	0.1%
glass blower	18	0.9%
grinder	2	0.1%
grocer	4	0.2%
guilder	1	0.0%
gunsmith	1	0.0%
hairdresser	1	0.0%
harness maker	3	0.1%
hatter	5	0.2%
heater	1	0.0%
helper	1	0.0%
hopper	1	0.0%
hose maker	1	0.0%
hostler	5	0.2%
hotel keeper	1	0.0%
huckster	5	0.2%
innkeeper	2	0.1%
ironworker	1	0.0%
ivory turner	1	0.0%
jeweler	4	0.2%
laborer	299	14.8%
last maker	1	0.0%
leacher	1	0.0%
lead pounder	1	0.0%
leatherworker	1	0.0%
lithographer	1	0.0%
locksmith	1	0.0%
lumberman	1	0.0%
machinist	21	1.0%
manufacturer	1	0.0%
marble cutter	1	0.0%
mason	7	0.3%
mechanic	1	0.0%
merchant	1	0.0%
mill sawyer	1	0.0%
miller	9	0.4%
milliner	1	0.0%
millwright	1	0.0%
miner	18	0.9%
morocco dresser	1	0.0%
morocco finisher	1	0.0%
moulder	21	1.0%
nailor	2	0.1%
newsboy	1	0.0%
night watchman	1	0.0%
operator	1	0.0%
painter	29	1.4%
paper dealer	1	0.0%
paper folder	1	0.0%
paperhanger	6	0.3%
peddler	2	0.1%
photographer	1	0.0%
plasterer	5	0.2%
plumber	2	0.1%
polisher	1	0.0%
porter	1	0.0%
preacher	1	0.0%
printer	20	1.0%
pumpmaker	1	0.0%
quarry[worker?]	1	0.0%
railroad employee	1	0.0%
railroad worker	2	0.1%
roller	3	0.1%
roofer	3	0.1%
saddler	4	0.2%
sailor	21	1.0%
salesman	4	0.2%
sargent	1	0.0%
saw grinder	2	0.1%
scourer	1	0.0%
seaman	17	0.8%
sheet iron worker	1	0.0%
ship carpenter	5	0.2%
shipbuilder	2	0.1%
shoecutter	1	0.0%
shoemaker	38	1.9%
silversmith	1	0.0%
smith	1	0.0%
soapmaker	3	0.1%
soldier	5	0.2%
spinner	1	0.0%
spinster	1	0.0%
stock dealer	1	0.0%
stone cutter	5	0.2%
stone mason	4	0.2%
storeboy	1	0.0%
storekeeper	1	0.0%
stove maker	1	0.0%
student	2	0.1%
sugar refiner	1	0.0%
surveyor	1	0.0%
tailor	15	0.7%
tanner	2	0.1%
teacher	1	0.0%
teamster	29	1.4%
telegraph operator	1	0.0%
tinsmith	5	0.2%
tobacconist	3	0.1%
toothmaker	1	0.0%
trucker	1	0.0%
turner	3	0.1%
type founder	3	0.1%
varnisher	3	0.1%
vendor	2	0.1%
veteran	1	0.0%
wagonmaker	3	0.1%
watchmaker	2	0.1%
waterman	10	0.5%
weaver	28	1.4%
wheelwright	5	0.2%
whipmaker	2	0.1%
wire worker	1	0.0%
wood cutter	1	0.0%
workman	1	0.0%

Occupation class, in frequency order

[unknown]	657	%
Artisans	405	29.7%
Manual laborers	401	29.4%
Semi-professionals and smaller proprietors	373	27.4%
Service and semi-skilled workers	107	7.9%
unknown class	59	4.3%
Professionals and large proprietors	14	1.0%
Not in labor force	3	0.2%

Occupation at enlistment, HISCO class

00000: not in work force	3	0.2%
03010: surveyor, general	1	0.1%
06310: dentist, general	2	0.1%
13000: teacher, level and subject unknown	1	0.1%
14120: minister of religion	1	0.1%
16310: photographer, general	1	0.1%
17140: instrumentalist	4	0.3%
21110: general manager	1	0.1%
30000: clerical or related worker, specialization unknown	74	5.5%
33110: bookkeeper, general	2	0.1%
36000: transport conductor, specialisation unknown	3	0.2%
38000: telephone or telegraph operator, specialization unknown	1	0.1%
41025: working proprietor (wholesale or retail trade)	6	0.4%
41030: working proprietor (retail trade)	11	0.8%
43200: commercial travellor or manufacturing agent, specialisation unknown	1	0.1%
45125: salesperson, wholesale or retail trade	4	0.3%
45190: other salesmen, shop assistants, and demonstrators	1	0.1%
45220: street vendor	9	0.7%
45240: news vendor	1	0.1%
51020: working proprietor (hotel and restaurant)	3	0.2%
53250: bartender	2	0.1%
53290: other waiters, bartenders, and related workers	1	0.1%
57000: hairdresser, specialization unknown	1	0.1%
58000: protective service workers, specialization unknown	2	0.1%
58300: military, specialization unknown	1	0.1%
58340: other military ranks	5	0.4%
58940: watchman	1	0.1%
61110: general farmer	177	13.1%
62460: horse worker	5	0.4%
62700: nursery and garden workers, unspecified	13	1.0%
63100: loggers, specialization unknown	1	0.1%
63190: other loggers	1	0.1%
64100: fisherman, deep-see or inland and coastal worker	8	0.6%
70000: production and related workers, specialization unknown	24	1.8%
71105: miner, general	19	1.4%
71110: quarryman, general	1	0.1%
71200: mineral and stone treaters, specialization unknown	1	0.1%
72200: metal rolling-mill worker, specialization unknown	3	0.2%
72420: metal pourer	3	0.2%
72500: metal moulder or coremaker, specialization unknown	22	1.6%
72725: wire drawer (hand or machine)	1	0.1%
73210: sawyer, general	1	0.1%
74220: cooker (chemical and related processes)	3	0.2%
75135: fibre carder	1	0.1%
75220: spinner, thread and yarn	2	0.1%
75400: weaver, specialization unknown	28	2.1%
75622: yarn, fabric, or garment dyer	1	0.1%
76100: tanner or fellmonger, specialization unknown	2	0.1%
76150: leather currier	4	0.3%
77120: millwright	10	0.7%
77200: sugar processor or refiner, specialization unknown	2	0.1%
77310: butcher, general	34	2.5%
77610: general baker	16	1.2%
77660: confectionary maker	6	0.4%
77810: brewer, general	1	0.1%
78200: cigar-maker, specialization unknown	11	0.8%
79100: tailor, specialization unknown	15	1.1%
79310: hatter	5	0.4%
79320: milliner, general	1	0.1%
79390: other milliners and hat makers	2	0.1%
80110: shoe-maker, general	47	3.5%
80310: leather goods maker, general	1	0.1%
80320: saddler and harness maker	7	0.5%
80390: whip maker	2	0.1%
81120: cabinetmaker	8	0.6%
81190: other cabinetmaker	1	0.1%
81920: coach-body builder	3	0.2%
81925: cartwright	8	0.6%
81930: cooper	8	0.6%
81935: wooden pattern maker	1	0.1%
81955: wooden furniture finisher	3	0.2%
82020: stone cutter and finisher	13	1.0%
83110: blacksmith	19	1.4%
83320: lathe setter operator	2	0.1%
83500: mechanical engineering technician, specialization unknown	21	1.6%
83550: saw repairer and sharpener	2	0.1%
83590: other metal grinders, polishers, and tool sharpeners	1	0.1%
83920: gunsmith	1	0.1%
83930: locksmith	1	0.1%
83990: other blacksmiths, toolmakers, and machine-tool operators not elsewhere classified	2	0.1%
84190: pumpmaker	1	0.1%
84220: watch and clock assembler	2	0.1%
84900: machinery fitter, machine assembler, ...	1	0.1%
87105: plumber, general	2	0.1%
87310: sheet-metal worker, general	1	0.1%
87340: tinsmith	5	0.4%
87350: boilersmith	1	0.1%
88010: jeweller, general	4	0.3%
88050: goldsmith and silversmith	1	0.1%
89120: glass blower	18	1.3%
89242: brick and tile moulder (hand or machine)	13	1.0%
91513: bricklayer or stonemason	4	0.3%
92100: printer, unknown specialization	20	1.5%
92415: lithographer	1	0.1%
92600: bookbinders and related workers, specialization unknown	1	0.1%
92625: bookbinder	8	0.6%
93120: building painter	29	2.2%
94220: basketmaker	3	0.2%
94230: brushmaker	2	0.1%
94240: broommaker	2	0.1%
94990: other production and related workers not elsewhere classified	3	0.2%
95100: bricklayer or stonemason, specialization unknown	11	0.8%
95300: roofer, specialization unknown	3	0.2%
95410: carpenter, general	50	3.7%
95440: wood shipwright	2	0.1%
95450: wooden boatbuilder	1	0.1%
95455: ship's carpenter	5	0.4%
95510: plasterer, general	5	0.4%
95910: housebuilder, general	1	0.1%
95925: paper hanger	6	0.4%
97125: loader of ship, truck, wagon, or airplane	1	0.1%
97152: packer, hand or machine	3	0.2%
98135: seaman, able or ordinary	38	2.8%
98190: other ratings and boatmen	43	3.2%
98420: railway brakeman (freight train)	1	0.1%
98620: animal-drawn vehicle driver (road)	37	2.7%
99910: labourer	301	22.3%
[unknown]	671	%

Occupation at enlistment, HISCO class (in frequency order)

[unknown]	671	%
99910: labourer	301	22.3%
61110: general farmer	177	13.1%
30000: clerical or related worker, specialization unknown	74	5.5%
95410: carpenter, general	50	3.7%
80110: shoe-maker, general	47	3.5%
98190: other ratings and boatmen	43	3.2%
98135: seaman, able or ordinary	38	2.8%
98620: animal-drawn vehicle driver (road)	37	2.7%
77310: butcher, general	34	2.5%
93120: building painter	29	2.2%
75400: weaver, specialization unknown	28	2.1%
70000: production and related workers, specialization unknown	24	1.8%
72500: metal moulder or coremaker, specialization unknown	22	1.6%
83500: mechanical engineering technician, specialization unknown	21	1.6%
92100: printer, unknown specialization	20	1.5%
71105: miner, general	19	1.4%
83110: blacksmith	19	1.4%
89120: glass blower	18	1.3%
77610: general baker	16	1.2%
79100: tailor, specialization unknown	15	1.1%
62700: nursery and garden workers, unspecified	13	1.0%
82020: stone cutter and finisher	13	1.0%
89242: brick and tile moulder (hand or machine)	13	1.0%
41030: working proprietor (retail trade)	11	0.8%
78200: cigar-maker, specialization unknown	11	0.8%
95100: bricklayer or stonemason, specialization unknown	11	0.8%
77120: millwright	10	0.7%
45220: street vendor	9	0.7%
64100: fisherman, deep-see or inland and coastal worker	8	0.6%
81120: cabinetmaker	8	0.6%
81925: cartwright	8	0.6%
81930: cooper	8	0.6%
92625: bookbinder	8	0.6%
80320: saddler and harness maker	7	0.5%
41025: working proprietor (wholesale or retail trade)	6	0.4%
77660: confectionary maker	6	0.4%
95925: paper hanger	6	0.4%
58340: other military ranks	5	0.4%
62460: horse worker	5	0.4%
79310: hatter	5	0.4%
87340: tinsmith	5	0.4%
95455: ship's carpenter	5	0.4%
95510: plasterer, general	5	0.4%
17140: instrumentalist	4	0.3%
45125: salesperson, wholesale or retail trade	4	0.3%
76150: leather currier	4	0.3%
88010: jeweller, general	4	0.3%
91513: bricklayer or stonemason	4	0.3%
00000: not in work force	3	0.2%
36000: transport conductor, specialisation unknown	3	0.2%
51020: working proprietor (hotel and restaurant)	3	0.2%
72200: metal rolling-mill worker, specialization unknown	3	0.2%
72420: metal pourer	3	0.2%
74220: cooker (chemical and related processes)	3	0.2%
81920: coach-body builder	3	0.2%
81955: wooden furniture finisher	3	0.2%
94220: basketmaker	3	0.2%
94990: other production and related workers not elsewhere classified	3	0.2%
95300: roofer, specialization unknown	3	0.2%
97152: packer, hand or machine	3	0.2%
06310: dentist, general	2	0.1%
33110: bookkeeper, general	2	0.1%
53250: bartender	2	0.1%
58000: protective service workers, specialization unknown	2	0.1%
75220: spinner, thread and yarn	2	0.1%
76100: tanner or fellmonger, specialization unknown	2	0.1%
77200: sugar processor or refiner, specialization unknown	2	0.1%
79390: other milliners and hat makers	2	0.1%
80390: whip maker	2	0.1%
83320: lathe setter operator	2	0.1%
83550: saw repairer and sharpener	2	0.1%
83990: other blacksmiths, toolmakers, and machine-tool operators not elsewhere classified	2	0.1%
84220: watch and clock assembler	2	0.1%
87105: plumber, general	2	0.1%
94230: brushmaker	2	0.1%
94240: broommaker	2	0.1%
95440: wood shipwright	2	0.1%
03010: surveyor, general	1	0.1%
13000: teacher, level and subject unknown	1	0.1%
14120: minister of religion	1	0.1%
16310: photographer, general	1	0.1%
21110: general manager	1	0.1%
38000: telephone or telegraph operator, specialization unknown	1	0.1%
43200: commercial travellor or manufacturing agent, specialisation unknown	1	0.1%
45190: other salesmen, shop assistants, and demonstrators	1	0.1%
45240: news vendor	1	0.1%
53290: other waiters, bartenders, and related workers	1	0.1%
57000: hairdresser, specialization unknown	1	0.1%
58300: military, specialization unknown	1	0.1%
58940: watchman	1	0.1%
63100: loggers, specialization unknown	1	0.1%
63190: other loggers	1	0.1%
71110: quarryman, general	1	0.1%
71200: mineral and stone treaters, specialization unknown	1	0.1%
72725: wire drawer (hand or machine)	1	0.1%
73210: sawyer, general	1	0.1%
75135: fibre carder	1	0.1%
75622: yarn, fabric, or garment dyer	1	0.1%
77810: brewer, general	1	0.1%
79320: milliner, general	1	0.1%
80310: leather goods maker, general	1	0.1%
81190: other cabinetmaker	1	0.1%
81935: wooden pattern maker	1	0.1%
83590: other metal grinders, polishers, and tool sharpeners	1	0.1%
83920: gunsmith	1	0.1%
83930: locksmith	1	0.1%
84190: pumpmaker	1	0.1%
84900: machinery fitter, machine assembler, ...	1	0.1%
87310: sheet-metal worker, general	1	0.1%
87350: boilersmith	1	0.1%
88050: goldsmith and silversmith	1	0.1%
92415: lithographer	1	0.1%
92600: bookbinders and related workers, specialization unknown	1	0.1%
95450: wooden boatbuilder	1	0.1%
95910: housebuilder, general	1	0.1%
97125: loader of ship, truck, wagon, or airplane	1	0.1%
98420: railway brakeman (freight train)	1	0.1%

Occupation at enlistment, HISCO major class

[unknown]	671	%
administrative and managerial workers	1	0.1%
agricultural, animal husbandry and forestry workers, fisherman, and hunters	205	15.2%
clerical and related workers	80	5.9%
not in work force	3	0.2%
production and related workers, transport equipment operators, and laborers	1000	74.2%
professional, technical, and related workers	10	0.7%
sales workers	33	2.4%
service workers	16	1.2%

Occupation at enlistment, HISCO minor class

[unknown]	671	%
labourers not elsewhere classified	301	22.3%
farmers	177	13.1%
transport equipment operators	119	8.8%
bricklayers, carpenters, and other construction workers	84	6.2%
clerical and related workers, specialization unknown	74	5.5%
food and beverage processors	69	5.1%
shoemakers and leather goods makers	57	4.2%
blacksmiths, toolmakers, and machine tool operators	49	3.6%
cabinetmakers and related woodworkers	32	2.4%
spinners, weavers, knitters, dyers, and related workers	32	2.4%
glass formers, potters, and related workers	31	2.3%
printers and related workers	30	2.2%
metal processors	29	2.2%
painters	29	2.2%
production and related workers, specialization unknown	24	1.8%
tailors, dressmakers, sewers, upholsterers, and related workers	23	1.7%
miners, quarrymen, well drillers, and related workers	21	1.6%
agricultural and animal husbandry workers	18	1.3%
working proprietors (wholesale and retail trade)	17	1.3%
salesmen, shop assistants, and related workers	15	1.1%
stone cutters and carvers	13	1.0%
tobacco preparers and tobacco product makers	11	0.8%
production and related workers not elsewhere classified	10	0.7%
plumbers, welders, sheet metal, and structural metal prepapers and erectors	9	0.7%
protective service workers	9	0.7%
fisherman, hunters, and related workers	8	0.6%
tanners, fellmongers, and pelt dressers	6	0.4%
jewellery and precious metal workers	5	0.4%
composers and performing artists	4	0.3%
machinery fitters, machine assemblers, and precision-instrument makers (except electrical)	4	0.3%
material handling and related equipment operators, dockers, and freight handlers	4	0.3%
paper and paperboard products makers	4	0.3%
chemical processors and related workers	3	0.2%
cooks, waiters, bartenders, and related workers	3	0.2%
not in work force	3	0.2%
transport conductors	3	0.2%
working proprietors (catering, lodging, and leisure services)	3	0.2%
bookkeepers, cashiers, and related workers	2	0.1%
forestry workers	2	0.1%
medical, dental, veterinary and related workers	2	0.1%
architects, engineers, and related technicians	1	0.1%
hairdressers, barbers, beauticians, and related workers	1	0.1%
managers	1	0.1%
sculptors, painters, photographers, and related creative artists	1	0.1%
teachers	1	0.1%
technical salesmen, commercial travellers, and manufacturing agents	1	0.1%
telephone and telegraph operators	1	0.1%
wood preparation workers and paper makers	1	0.1%
workers in religion	1	0.1%

Occupation class, by HISCO major class

	Artisans	Manual laborers	Not in labor force	Professionals and large proprietors	Semi-professionals and smaller proprietors	Service and semi-skilled workers	[unknown]	unknown class	total
[unknown]	0 (134.6)	3 (133.27)	0 (1.0)	5 (4.65)	0 (123.96)	3 (35.56)	657 (218.35)	3 (19.61)	671
administrative and managerial workers	0 (0.2)	0 (0.2)	0 (0.0)	1 (0.01)	0 (0.18)	0 (0.05)	0 (0.33)	0 (0.03)	1
agricultural, animal husbandry and forestry workers, fisherman, and hunters	0 (41.12)	6 (40.72)	0 (0.3)	0 (1.42)	185 (37.87)	13 (10.86)	0 (66.71)	1 (5.99)	205
clerical and related workers	0 (16.05)	0 (15.89)	0 (0.12)	0 (0.55)	80 (14.78)	0 (4.24)	0 (26.03)	0 (2.34)	80
not in work force	0 (0.6)	0 (0.6)	3 (0.0)	0 (0.02)	0 (0.55)	0 (0.16)	0 (0.98)	0 (0.09)	3
production and related workers, transport equipment operators, and laborers	405 (200.59)	391 (198.61)	0 (1.49)	1 (6.93)	74 (184.74)	82 (53.0)	0 (325.41)	47 (29.22)	1000
professional, technical, and related workers	0 (2.01)	0 (1.99)	0 (0.01)	2 (0.07)	8 (1.85)	0 (0.53)	0 (3.25)	0 (0.29)	10
sales workers	0 (6.62)	0 (6.55)	0 (0.05)	4 (0.23)	24 (6.1)	0 (1.75)	0 (10.74)	5 (0.96)	33
service workers	0 (3.21)	1 (3.18)	0 (0.02)	1 (0.11)	2 (2.96)	9 (0.85)	0 (5.21)	3 (0.47)	16
total	405	401	3	14	373	107	657	59	2019

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

Occupation, at death

[unknown]	1829	%
laborer	20	10.5%
carpenter	11	5.8%
[none]	10	5.3%
gentleman	7	3.7%
painter	7	3.7%
farmer	6	3.2%
retired	6	3.2%
soldier	6	3.2%
brickmaker	4	2.1%
clerk	4	2.1%
bricklayer	3	1.6%
butcher	3	1.6%
gent	3	1.6%
merchant	3	1.6%
physician	3	1.6%
printer	3	1.6%
shoemaker	3	1.6%
tailor	3	1.6%
gardener	2	1.1%
glass blower	2	1.1%
labourer	2	1.1%
mechanic	2	1.1%
milk dealer	2	1.1%
none	2	1.1%
tinsmith	2	1.1%
undertaker	2	1.1%
weaver	2	1.1%
	1	0.5%
U.S. Marshal	1	0.5%
US soldier	1	0.5%
attorney at law	1	0.5%
boatman	1	0.5%
bookkeeper	1	0.5%
brass turner	1	0.5%
brick layer	1	0.5%
brick manufacturer	1	0.5%
brickmason	1	0.5%
carpet manufacturer	1	0.5%
carter	1	0.5%
chairmaker	1	0.5%
coach painter	1	0.5%
collector	1	0.5%
combmaker	1	0.5%
confectioner	1	0.5%
cooper	1	0.5%
court crier	1	0.5%
driver	1	0.5%
ex sergeant of police	1	0.5%
fancy soapmaker	1	0.5%
fireman	1	0.5%
fisherman	1	0.5%
foreman [illegible--'Railroad Worker Co' (??)]	1	0.5%
freight agent	1	0.5%
glassblower	1	0.5%
grave digger	1	0.5%
grocer	1	0.5%
hotel keeper	1	0.5%
huckster	1	0.5%
in book store	1	0.5%
in gas works	1	0.5%
last maker	1	0.5%
machinist	1	0.5%
mason	1	0.5%
medical doctor	1	0.5%
morocco finisher	1	0.5%
moulder	1	0.5%
park guard	1	0.5%
president of an insurance co.	1	0.5%
pyaemia	1	0.5%
retired farmer	1	0.5%
retired gardener	1	0.5%
ropemaker	1	0.5%
salesman	1	0.5%
sampler	1	0.5%
saw maker	1	0.5%
ship joiner	1	0.5%
shipping clerk	1	0.5%
sign painter	1	0.5%
soldier US Army	1	0.5%
soldier laborer	1	0.5%
stairbuilder	1	0.5%
steamfitter	1	0.5%
stevedore	1	0.5%
steward	1	0.5%
stone mason	1	0.5%
sumaker [sc. shoemaker?]	1	0.5%
superintendent at Masonic Temple	1	0.5%
tin cutter	1	0.5%
tin roofer	1	0.5%
type moulder	1	0.5%
varnisher	1	0.5%
volunteer	1	0.5%
watchman	1	0.5%
wharf builder	1	0.5%

Reason for leaving, in frequency order

was mustered out with the regiment	654	33.1%
was discharged on surgeon's certificate of disability	335	17.0%
deserted	288	14.6%
was discharged by general order	159	8.0%
was absent when the regiment mustered out	90	4.6%
was discharged when his term expired	72	3.6%
died (killed in action)	64	3.2%
was transferred to the Veterans' Reserve Corps	62	3.1%
died (of battle wounds)	49	2.5%
died (of illness)	49	2.5%
[unknown]	43	%
was discharged by special order	26	1.3%
was transferred	20	1.0%
was discharged because underage	12	0.6%
was discharged	10	0.5%
was discharged by habeas corpus	10	0.5%
was absent on furlough when the regiment mustered out	8	0.4%
was resigned	8	0.4%
died (accidentally killed)	7	0.4%
died (in Confederate prison)	6	0.3%
died (probably of illness)	6	0.3%
was missing in action	5	0.3%
unknown	4	0.2%
was absent on detached duty when the regiment mustered out	4	0.2%
was discharged to be promoted	4	0.2%
was dishonorably discharged by general court martial	4	0.2%
was mustered out	4	0.2%
died (by committing suicide)	3	0.2%
died (by drowning)	3	0.2%
was cashiered	3	0.2%
was dismissed	3	0.2%
was absent without leave when the regiment mustered out	2	0.1%
was discharged because overage	1	0.1%
was dropped from rolls	1	0.1%

Month of leaving the regiment, in frequency order

1865 July	821	40.7%
1865 June	113	5.6%
[unknown] [unknown]	91	4.5%
1865 May	74	3.7%
1862 April	40	2.0%
1862 December	39	1.9%
1864 June	38	1.9%
1863 February	37	1.8%
1864 September	36	1.8%
1865 March	36	1.8%
1862 August	33	1.6%
1864 May	33	1.6%
1861 December	31	1.5%
1863 January	30	1.5%
1862 May	28	1.4%
1863 July	28	1.4%
1861 October	27	1.3%
1864 November	27	1.3%
1865 April	27	1.3%
1864 March	26	1.3%
1862 June	25	1.2%
1864 December	25	1.2%
1863 May	24	1.2%
1862 January	20	1.0%
1862 March	20	1.0%
1863 March	20	1.0%
1862 July	18	0.9%
1862 October	17	0.8%
1864 October	17	0.8%
1861 November	16	0.8%
1863 April	16	0.8%
1864 August	16	0.8%
1863 September	15	0.7%
1863 June	14	0.7%
1864 February	14	0.7%
1864 July	14	0.7%
1863 November	13	0.6%
1862 November	12	0.6%
1862 September	11	0.5%
1863 December	10	0.5%
1865 February	10	0.5%
1864 April	9	0.4%
1865 January	9	0.4%
1862 February	8	0.4%
1864 January	8	0.4%
1863 August	7	0.3%
1861 September	5	0.2%
1865 August	4	0.2%
1863 October	3	0.1%
1865 October	2	0.1%
1865 December	1	0.0%
1865 September	1	0.0%

Deaths

did not die while in regiment	1832	90.7%
died while in regiment	187	9.3%

Deaths, by occupation class

	did not die while in regiment	died while in regiment	total
Artisans	359 (367.49)	46 (37.51)	405
Manual laborers	369 (363.86)	32 (37.14)	401
Not in labor force	2 (2.72)	1 (0.28)	3
Professionals and large proprietors	14 (12.7)	0 (1.3)	14
Semi-professionals and smaller proprietors	347 (338.45)	26 (34.55)	373
Service and semi-skilled workers	98 (97.09)	9 (9.91)	107
[unknown]	592 (596.15)	65 (60.85)	657
unknown class	51 (53.54)	8 (5.46)	59
total	1832	187	2019

values in parentheses are expected values
degrees of freedom: 7
chi-square: 10.41
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]	605 (608.85)	66 (62.15)	671
administrative and managerial workers	1 (0.91)	0 (0.09)	1
agricultural, animal husbandry and forestry workers, fisherman, and hunters	190 (186.01)	15 (18.99)	205
clerical and related workers	75 (72.59)	5 (7.41)	80
not in work force	2 (2.72)	1 (0.28)	3
production and related workers, transport equipment operators, and laborers	902 (907.38)	98 (92.62)	1000
professional, technical, and related workers	10 (9.07)	0 (0.93)	10
sales workers	31 (29.94)	2 (3.06)	33
service workers	16 (14.52)	0 (1.48)	16
total	1832	187	2019

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	1038 (1004.47)	794 (827.53)	1832
died while in regiment	69 (102.53)	118 (84.47)	187
total	1107	912	2019

values in parentheses are expected values
degrees of freedom: 1
chi-square: 26.75
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 (1.81)	2 (0.19)	2
18	1 (5.44)	5 (0.56)	6
19	2 (14.52)	14 (1.48)	16
20	0 (11.8)	13 (1.2)	13
21	1 (12.7)	13 (1.3)	14
22	0 (9.07)	10 (0.93)	10
23	2 (8.17)	7 (0.83)	9
24	2 (7.26)	6 (0.74)	8
25	1 (9.07)	9 (0.93)	10
26	1 (10.89)	11 (1.11)	12
27	1 (6.35)	6 (0.65)	7
28	1 (5.44)	5 (0.56)	6
29	2 (12.7)	12 (1.3)	14
30	3 (6.35)	4 (0.65)	7
31	0 (6.35)	7 (0.65)	7
32	4 (7.26)	4 (0.74)	8
33	3 (7.26)	5 (0.74)	8
34	5 (6.35)	2 (0.65)	7
35	3 (9.07)	7 (0.93)	10
36	3 (4.54)	2 (0.46)	5
37	4 (8.17)	5 (0.83)	9
38	4 (6.35)	3 (0.65)	7
39	4 (5.44)	2 (0.56)	6
40	3 (6.35)	4 (0.65)	7
41	4 (9.07)	6 (0.93)	10
42	13 (15.43)	4 (1.57)	17
43	8 (11.8)	5 (1.2)	13
44	4 (6.35)	3 (0.65)	7
45	6 (8.17)	3 (0.83)	9
46	14 (16.33)	4 (1.67)	18
47	5 (5.44)	1 (0.56)	6
48	6 (5.44)	0 (0.56)	6
49	6 (6.35)	1 (0.65)	7
50	10 (9.07)	0 (0.93)	10
51	3 (2.72)	0 (0.28)	3
52	8 (7.26)	0 (0.74)	8
53	13 (11.8)	0 (1.2)	13
54	8 (7.26)	0 (0.74)	8
55	9 (8.17)	0 (0.83)	9
56	10 (9.07)	0 (0.93)	10
57	12 (10.89)	0 (1.11)	12
58	9 (8.17)	0 (0.83)	9
59	16 (14.52)	0 (1.48)	16
60	10 (9.07)	0 (0.93)	10
61	10 (9.07)	0 (0.93)	10
62	16 (14.52)	0 (1.48)	16
63	13 (11.8)	0 (1.2)	13
64	22 (19.96)	0 (2.04)	22
65	23 (20.87)	0 (2.13)	23
66	29 (26.31)	0 (2.69)	29
67	20 (18.15)	0 (1.85)	20
68	25 (22.68)	0 (2.32)	25
69	29 (26.31)	0 (2.69)	29
70	27 (24.5)	0 (2.5)	27
71	19 (17.24)	0 (1.76)	19
72	26 (23.59)	0 (2.41)	26
73	22 (19.96)	0 (2.04)	22
74	21 (19.05)	0 (1.95)	21
75	27 (24.5)	0 (2.5)	27
76	24 (21.78)	0 (2.22)	24
77	27 (24.5)	0 (2.5)	27
78	26 (23.59)	0 (2.41)	26
79	25 (22.68)	0 (2.32)	25
80	28 (25.41)	0 (2.59)	28
81	17 (15.43)	0 (1.57)	17
82	25 (22.68)	0 (2.32)	25
83	23 (20.87)	0 (2.13)	23
84	16 (14.52)	0 (1.48)	16
85	12 (10.89)	0 (1.11)	12
86	14 (12.7)	0 (1.3)	14
87	5 (4.54)	0 (0.46)	5
88	10 (9.07)	0 (0.93)	10
89	3 (2.72)	0 (0.28)	3
90	3 (2.72)	0 (0.28)	3
91	2 (1.81)	0 (0.19)	2
92	4 (3.63)	0 (0.37)	4
93	1 (0.91)	0 (0.09)	1
94	2 (1.81)	0 (0.19)	2
95	1 (0.91)	0 (0.09)	1
96	1 (0.91)	0 (0.09)	1
[unknown]	1010 (918.27)	2 (93.73)	1012
total	1832	187	2019

chi square wasn't calculated because 92 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 (21.78)	21 (2.22)	24
2	11 (93.46)	92 (9.54)	103
3	33 (67.15)	41 (6.85)	74
4	69 (90.74)	31 (9.26)	100
5	98 (88.92)	0 (9.08)	98
6	197 (178.75)	0 (18.25)	197
7	244 (221.4)	0 (22.6)	244
8	153 (138.83)	0 (14.17)	153
9	14 (12.7)	0 (1.3)	14
[unknown]	1010 (918.27)	2 (93.73)	1012
total	1832	187	2019

values in parentheses are expected values
degrees of freedom: 9
chi-square: 1375.45
p < 5.0E-4
Cramer's V: 0.83

Death age by volunteer status

	[unknown]	draftee	substitute	volunteer	total
17	0 (0.01)	0 (0.31)	1 (0.31)	1 (1.37)	2
18	0 (0.02)	0 (0.93)	4 (0.94)	2 (4.11)	6
19	0 (0.06)	0 (2.49)	1 (2.5)	15 (10.95)	16
20	0 (0.05)	0 (2.02)	1 (2.03)	12 (8.9)	13
21	0 (0.05)	1 (2.18)	0 (2.19)	13 (9.58)	14
22	0 (0.03)	0 (1.56)	0 (1.57)	10 (6.84)	10
23	0 (0.03)	1 (1.4)	1 (1.41)	7 (6.16)	9
24	0 (0.03)	0 (1.24)	1 (1.25)	7 (5.48)	8
25	0 (0.03)	0 (1.56)	0 (1.57)	10 (6.84)	10
26	0 (0.04)	1 (1.87)	0 (1.88)	11 (8.21)	12
27	0 (0.02)	0 (1.09)	0 (1.1)	7 (4.79)	7
28	0 (0.02)	0 (0.93)	1 (0.94)	5 (4.11)	6
29	0 (0.05)	0 (2.18)	2 (2.19)	12 (9.58)	14
30	0 (0.02)	0 (1.09)	0 (1.1)	7 (4.79)	7
31	0 (0.02)	1 (1.09)	0 (1.1)	6 (4.79)	7
32	0 (0.03)	1 (1.24)	1 (1.25)	6 (5.48)	8
33	0 (0.03)	3 (1.24)	0 (1.25)	5 (5.48)	8
34	0 (0.02)	0 (1.09)	0 (1.1)	7 (4.79)	7
35	0 (0.03)	0 (1.56)	0 (1.57)	10 (6.84)	10
36	0 (0.02)	2 (0.78)	0 (0.78)	3 (3.42)	5
37	0 (0.03)	2 (1.4)	0 (1.41)	7 (6.16)	9
38	0 (0.02)	1 (1.09)	0 (1.1)	6 (4.79)	7
39	0 (0.02)	1 (0.93)	0 (0.94)	5 (4.11)	6
40	0 (0.02)	0 (1.09)	0 (1.1)	7 (4.79)	7
41	0 (0.03)	1 (1.56)	0 (1.57)	9 (6.84)	10
42	0 (0.06)	3 (2.64)	2 (2.66)	12 (11.64)	17
43	0 (0.05)	3 (2.02)	0 (2.03)	10 (8.9)	13
44	0 (0.02)	1 (1.09)	0 (1.1)	6 (4.79)	7
45	0 (0.03)	0 (1.4)	1 (1.41)	8 (6.16)	9
46	0 (0.06)	2 (2.8)	0 (2.82)	16 (12.32)	18
47	0 (0.02)	0 (0.93)	1 (0.94)	5 (4.11)	6
48	0 (0.02)	1 (0.93)	0 (0.94)	5 (4.11)	6
49	0 (0.02)	0 (1.09)	3 (1.1)	4 (4.79)	7
50	0 (0.03)	1 (1.56)	1 (1.57)	8 (6.84)	10
51	0 (0.01)	0 (0.47)	0 (0.47)	3 (2.05)	3
52	0 (0.03)	4 (1.24)	1 (1.25)	3 (5.48)	8
53	0 (0.05)	2 (2.02)	1 (2.03)	10 (8.9)	13
54	0 (0.03)	1 (1.24)	0 (1.25)	7 (5.48)	8
55	0 (0.03)	1 (1.4)	1 (1.41)	7 (6.16)	9
56	0 (0.03)	2 (1.56)	1 (1.57)	7 (6.84)	10
57	0 (0.04)	1 (1.87)	0 (1.88)	11 (8.21)	12
58	0 (0.03)	1 (1.4)	1 (1.41)	7 (6.16)	9
59	0 (0.06)	4 (2.49)	4 (2.5)	8 (10.95)	16
60	0 (0.03)	4 (1.56)	1 (1.57)	5 (6.84)	10
61	0 (0.03)	1 (1.56)	0 (1.57)	9 (6.84)	10
62	0 (0.06)	2 (2.49)	2 (2.5)	12 (10.95)	16
63	0 (0.05)	6 (2.02)	2 (2.03)	5 (8.9)	13
64	0 (0.08)	2 (3.42)	3 (3.44)	17 (15.06)	22
65	0 (0.08)	4 (3.58)	5 (3.6)	14 (15.74)	23
66	0 (0.1)	7 (4.51)	5 (4.54)	17 (19.85)	29
67	0 (0.07)	2 (3.11)	3 (3.13)	15 (13.69)	20
68	0 (0.09)	7 (3.89)	7 (3.91)	11 (17.11)	25
69	0 (0.1)	4 (4.51)	2 (4.54)	23 (19.85)	29
70	0 (0.09)	7 (4.2)	7 (4.23)	13 (18.48)	27
71	0 (0.07)	5 (2.95)	3 (2.97)	11 (13.01)	19
72	0 (0.09)	6 (4.04)	3 (4.07)	17 (17.8)	26
73	0 (0.08)	3 (3.42)	4 (3.44)	15 (15.06)	22
74	0 (0.07)	7 (3.27)	2 (3.29)	12 (14.37)	21
75	0 (0.09)	5 (4.2)	2 (4.23)	20 (18.48)	27
76	0 (0.08)	3 (3.73)	10 (3.76)	11 (16.43)	24
77	0 (0.09)	10 (4.2)	4 (4.23)	13 (18.48)	27
78	0 (0.09)	9 (4.04)	2 (4.07)	15 (17.8)	26
79	0 (0.09)	6 (3.89)	4 (3.91)	15 (17.11)	25
80	0 (0.1)	8 (4.35)	5 (4.38)	15 (19.17)	28
81	0 (0.06)	5 (2.64)	4 (2.66)	8 (11.64)	17
82	0 (0.09)	7 (3.89)	3 (3.91)	15 (17.11)	25
83	0 (0.08)	8 (3.58)	5 (3.6)	10 (15.74)	23
84	0 (0.06)	6 (2.49)	3 (2.5)	7 (10.95)	16
85	0 (0.04)	4 (1.87)	1 (1.88)	7 (8.21)	12
86	0 (0.05)	9 (2.18)	1 (2.19)	4 (9.58)	14
87	0 (0.02)	2 (0.78)	1 (0.78)	2 (3.42)	5
88	0 (0.03)	7 (1.56)	0 (1.57)	3 (6.84)	10
89	0 (0.01)	2 (0.47)	0 (0.47)	1 (2.05)	3
90	0 (0.01)	3 (0.47)	0 (0.47)	0 (2.05)	3
91	0 (0.01)	1 (0.31)	0 (0.31)	1 (1.37)	2
92	0 (0.01)	3 (0.62)	0 (0.63)	1 (2.74)	4
93	0 (0.0)	1 (0.16)	0 (0.16)	0 (0.68)	1
94	0 (0.01)	1 (0.31)	0 (0.31)	1 (1.37)	2
95	0 (0.0)	0 (0.16)	0 (0.16)	1 (0.68)	1
96	0 (0.0)	0 (0.16)	1 (0.16)	0 (0.68)	1
[unknown]	7 (3.51)	105 (157.39)	191 (158.39)	709 (692.71)	1012
total	7	314	316	1382	2019

chi square wasn't calculated because 266 expected values were less than 5

Death age (by decade) by volunteer status

	[unknown]	draftee	substitute	volunteer	total
1	0 (0.08)	0 (3.73)	6 (3.76)	18 (16.43)	24
2	0 (0.36)	3 (16.02)	6 (16.12)	94 (70.5)	103
3	0 (0.26)	11 (11.51)	1 (11.58)	62 (50.65)	74
4	0 (0.35)	11 (15.55)	7 (15.65)	82 (68.45)	100
5	0 (0.34)	17 (15.24)	10 (15.34)	71 (67.08)	98
6	0 (0.68)	39 (30.64)	30 (30.83)	128 (134.85)	197
7	0 (0.85)	61 (37.95)	41 (38.19)	142 (167.02)	244
8	0 (0.53)	58 (23.79)	23 (23.95)	72 (104.73)	153
9	0 (0.05)	9 (2.18)	1 (2.19)	4 (9.58)	14
[unknown]	7 (3.51)	105 (157.39)	191 (158.39)	709 (692.71)	1012
total	7	314	316	1382	2019

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

Average death age (very approximate!)

based on 1007 instances
minimum	17 years
maximum	96 years
median	66 years
mode	66 / 69: 29 instances
mean	60.0 years
standard deviation	60.01

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

based on 673 instances
minimum	17 years
maximum	95 years
median	61 years
mode	69: 23 instances
mean	55.8 years
standard deviation	55.82

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

based on 209 instances
minimum	21 years
maximum	94 years
median	74 years
mode	77: 10 instances
mean	70.2 years
standard deviation	70.31

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

based on 125 instances
minimum	17 years
maximum	96 years
median	70 years
mode	76: 10 instances
mean	65.5 years
standard deviation	65.6

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

based on 185 instances
minimum	17 years
maximum	49 years
median	27 years
mode	19: 14 instances
mean	28.8 years
standard deviation	28.88

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

based on 822 instances
minimum	18 years
maximum	96 years
median	70.0 years
mode	66 / 69: 29 instances
mean	67.0 years
standard deviation	67.02

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

based on 509 instances
minimum	19 years
maximum	95 years
median	67 years
mode	69: 23 instances
mean	64.4 years
standard deviation	64.43

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

based on 199 instances
minimum	21 years
maximum	94 years
median	75 years
mode	77: 10 instances
mean	72.1 years
standard deviation	72.22

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

based on 114 instances
minimum	18 years
maximum	96 years
median	71.0 years
mode	76: 10 instances
mean	69.5 years
standard deviation	69.61

Desertions

never deserted	1659	82.2%
deserted	360	17.8%

Number of known desertions

0	1659	82.2%
1	345	17.1%
2	13	0.6%
3	2	0.1%

Desertions, by age at enlistment (grouped)

	deserted	never deserted	total
0-19	54 (73.82)	360 (340.18)	414
20-29	191 (157.62)	693 (726.38)	884
30-39	74 (79.17)	370 (364.83)	444
40-	36 (46.0)	222 (212.0)	258
[unknown]	5 (3.39)	14 (15.61)	19
total	360	1659	2019

values in parentheses are expected values
degrees of freedom: 4
chi-square: 19.07
p < 0.0010
Cramer's V: 0.1

Desertions, by age at enlistment (grouped)

	deserted	never deserted	total
0-19	44 (67.9)	273 (249.1)	317
20-29	155 (120.58)	408 (442.42)	563
30-39	63 (58.47)	210 (214.53)	273
40-	30 (45.41)	182 (166.59)	212
[unknown]	4 (3.64)	13 (13.36)	17
total	296	1086	1382

values in parentheses are expected values
degrees of freedom: 4
chi-square: 30.36
p < 5.0E-4
Cramer's V: 0.15

Desertions, by age at enlistment (grouped)

	deserted	never deserted	total
0-19	0 (0.08)	2 (1.92)	2
20-29	4 (6.87)	162 (159.13)	166
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, by age at enlistment (grouped)

	deserted	never deserted	total
0-19	10 (14.58)	84 (79.42)	94
20-29	31 (23.41)	120 (127.59)	151
30-39	7 (8.68)	49 (47.32)	56
40-	1 (2.33)	14 (12.67)	15
total	49	267	316

values in parentheses are expected values
degrees of freedom: 3
chi-square: 5.9
p < 0.15
Cramer's V: 0.14

Desertion rate, by muster-in year

	deserted	never deserted	total
1861	212 (171.53)	750 (790.47)	962
1862	26 (27.1)	126 (124.9)	152
1863	3 (21.4)	117 (98.6)	120
1864	62 (59.73)	273 (275.27)	335
1865	56 (79.52)	390 (366.48)	446
[unknown]	1 (0.71)	3 (3.29)	4
total	360	1659	2019

values in parentheses are expected values
degrees of freedom: 5
chi-square: 39.64
p < 5.0E-4
Cramer's V: 0.14

Desertion rate, by muster-in year, volunteers only

	deserted	never deserted	total
1861	212 (205.83)	749 (755.17)	961
1862	26 (32.34)	125 (118.66)	151
1863	0 (2.36)	11 (8.64)	11
1864	51 (49.26)	179 (180.74)	230
1865	6 (5.57)	20 (20.43)	26
[unknown]	1 (0.64)	2 (2.36)	3
total	296	1086	1382

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
1863	1 (3.72)	23 (20.28)	24
1864	6 (4.5)	23 (24.5)	29
1865	42 (40.78)	221 (222.22)	263
total	49	267	316

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

Desertion rate, by time in regiment (grouped)

	deserted	never deserted	total
A: 0-9 days	76 (14.44)	5 (66.56)	81
B: 10-399 days	156 (161.55)	750 (744.45)	906
C: 400-799 days	35 (83.63)	434 (385.37)	469
D: 800-1199 days	37 (40.83)	192 (188.17)	229
E: 1200 or more days	30 (42.62)	209 (196.38)	239
[unknown]	26 (16.94)	69 (78.06)	95
total	360	1659	2019

values in parentheses are expected values
degrees of freedom: 5
chi-square: 364.9
p < 5.0E-4
Cramer's V: 0.43

Muster in date, in frequency order

20 August 1861	76	3.8%
28 February 1865	71	3.5%
21 September 1864	59	2.9%
24 March 1865	37	1.8%
28 March 1865	34	1.7%
23 March 1865	31	1.5%
27 March 1865	31	1.5%
23 September 1861	25	1.2%
15 March 1865	24	1.2%
2 March 1865	23	1.1%
22 March 1865	23	1.1%
16 March 1865	21	1.0%
7 October 1864	21	1.0%
2 December 1861	19	0.9%
21 August 1861	19	0.9%
9 September 1861	19	0.9%
18 September 1861	18	0.9%
29 March 1865	18	0.9%
11 March 1865	17	0.8%
15 October 1861	17	0.8%
21 March 1865	17	0.8%
24 September 1861	17	0.8%
25 September 1861	17	0.8%
30 September 1861	17	0.8%
7 October 1861	17	0.8%
10 September 1861	16	0.8%
17 September 1861	16	0.8%
16 September 1861	15	0.7%
20 November 1861	15	0.7%
8 October 1861	15	0.7%
10 October 1861	14	0.7%
19 September 1861	14	0.7%
3 October 1861	14	0.7%
19 November 1861	13	0.6%
25 October 1861	13	0.6%
27 September 1861	13	0.6%
4 December 1861	13	0.6%
4 November 1861	13	0.6%
1 October 1861	12	0.6%
14 October 1861	12	0.6%
19 October 1861	12	0.6%
2 September 1861	12	0.6%
24 August 1861	12	0.6%
25 March 1865	12	0.6%
27 August 1861	12	0.6%
16 November 1861	11	0.5%
18 October 1861	11	0.5%
23 August 1861	11	0.5%
3 February 1864	11	0.5%
4 February 1864	11	0.5%
17 July 1863	10	0.5%
2 October 1861	10	0.5%
20 September 1861	10	0.5%
21 October 1861	10	0.5%
22 October 1861	10	0.5%
6 November 1861	10	0.5%
11 October 1861	9	0.4%
12 November 1861	9	0.4%
15 July 1863	9	0.4%
21 September 1861	9	0.4%
25 November 1861	9	0.4%
26 January 1864	9	0.4%
29 October 1861	9	0.4%
9 February 1864	9	0.4%
1 March 1864	8	0.4%
10 July 1863	8	0.4%
11 September 1861	8	0.4%
13 November 1861	8	0.4%
14 November 1861	8	0.4%
16 July 1863	8	0.4%
18 March 1865	8	0.4%
20 March 1865	8	0.4%
29 November 1861	8	0.4%
1 December 1861	7	0.3%
1 November 1861	7	0.3%
10 September 1863	7	0.3%
14 September 1861	7	0.3%
20 January 1864	7	0.3%
22 November 1861	7	0.3%
27 November 1861	7	0.3%
27 September 1864	7	0.3%
28 August 1861	7	0.3%
28 January 1864	7	0.3%
28 October 1861	7	0.3%
29 August 1861	7	0.3%
29 February 1864	7	0.3%
30 August 1861	7	0.3%
5 November 1861	7	0.3%
6 February 1864	7	0.3%
6 September 1861	7	0.3%
8 November 1861	7	0.3%
8 October 1864	7	0.3%
10 February 1864	6	0.3%
12 February 1864	6	0.3%
14 January 1864	6	0.3%
15 February 1864	6	0.3%
15 November 1861	6	0.3%
16 December 1861	6	0.3%
17 March 1865	6	0.3%
18 November 1861	6	0.3%
21 January 1864	6	0.3%
24 February 1865	6	0.3%
24 July 1863	6	0.3%
26 December 1861	6	0.3%
27 January 1864	6	0.3%
30 January 1864	6	0.3%
4 October 1861	6	0.3%
4 September 1861	6	0.3%
9 August 1861	6	0.3%
9 October 1861	6	0.3%
1 August 1863	5	0.2%
11 August 1862	5	0.2%
12 August 1862	5	0.2%
12 December 1861	5	0.2%
12 October 1861	5	0.2%
12 September 1861	5	0.2%
13 July 1863	5	0.2%
13 March 1865	5	0.2%
13 September 1862	5	0.2%
2 February 1864	5	0.2%
2 November 1861	5	0.2%
20 February 1864	5	0.2%
20 July 1863	5	0.2%
23 October 1861	5	0.2%
27 February 1865	5	0.2%
28 September 1861	5	0.2%
9 September 1863	5	0.2%
11 December 1861	4	0.2%
11 November 1861	4	0.2%
13 February 1864	4	0.2%
14 March 1865	4	0.2%
16 October 1861	4	0.2%
16 September 1862	4	0.2%
17 January 1862	4	0.2%
17 May 1865	4	0.2%
17 October 1861	4	0.2%
18 July 1863	4	0.2%
20 January 1862	4	0.2%
21 November 1861	4	0.2%
22 August 1861	4	0.2%
23 December 1861	4	0.2%
24 October 1861	4	0.2%
25 February 1864	4	0.2%
26 November 1861	4	0.2%
3 September 1861	4	0.2%
30 March 1865	4	0.2%
5 February 1864	4	0.2%
6 August 1862	4	0.2%
7 August 1862	4	0.2%
8 February 1864	4	0.2%
9 December 1861	4	0.2%
9 January 1862	4	0.2%
9 September 1862	4	0.2%
[unknown]	4	%
1 September 1861	3	0.1%
10 December 1861	3	0.1%
10 October 1862	3	0.1%
11 March 1864	3	0.1%
12 January 1864	3	0.1%
13 February 1865	3	0.1%
13 September 1861	3	0.1%
15 January 1862	3	0.1%
15 September 1861	3	0.1%
16 August 1862	3	0.1%
16 March 1864	3	0.1%
18 February 1864	3	0.1%
18 September 1862	3	0.1%
19 August 1862	3	0.1%
2 August 1862	3	0.1%
2 March 1864	3	0.1%
2 September 1864	3	0.1%
20 December 1861	3	0.1%
22 January 1864	3	0.1%
23 January 1862	3	0.1%
24 September 1863	3	0.1%
26 August 1861	3	0.1%
26 October 1861	3	0.1%
27 February 1864	3	0.1%
28 November 1861	3	0.1%
3 December 1861	3	0.1%
30 July 1863	3	0.1%
30 November 1861	3	0.1%
30 October 1861	3	0.1%
31 October 1861	3	0.1%
4 August 1862	3	0.1%
5 October 1861	3	0.1%
7 November 1861	3	0.1%
9 March 1865	3	0.1%
9 November 1861	3	0.1%
1 August 1862	2	0.1%
1 January 1862	2	0.1%
1 June 1864	2	0.1%
10 March 1864	2	0.1%
10 March 1865	2	0.1%
11 January 1862	2	0.1%
11 September 1862	2	0.1%
12 March 1864	2	0.1%
12 November 1863	2	0.1%
12 September 1862	2	0.1%
13 January 1862	2	0.1%
15 October 1863	2	0.1%
16 February 1864	2	0.1%
17 November 1861	2	0.1%
18 December 1861	2	0.1%
18 January 1865	2	0.1%
18 March 1864	2	0.1%
2 August 1864	2	0.1%
2 January 1862	2	0.1%
20 August 1862	2	0.1%
21 December 1861	2	0.1%
21 January 1862	2	0.1%
22 July 1862	2	0.1%
22 July 1863	2	0.1%
23 August 1862	2	0.1%
23 February 1864	2	0.1%
24 February 1864	2	0.1%
24 November 1861	2	0.1%
25 February 1865	2	0.1%
25 January 1864	2	0.1%
25 March 1864	2	0.1%
26 February 1864	2	0.1%
26 September 1861	2	0.1%
27 August 1863	2	0.1%
27 March 1864	2	0.1%
28 December 1861	2	0.1%
29 January 1864	2	0.1%
29 July 1862	2	0.1%
3 July 1862	2	0.1%
3 September 1862	2	0.1%
31 August 1861	2	0.1%
31 August 1862	2	0.1%
31 August 1863	2	0.1%
31 March 1864	2	0.1%
4 March 1865	2	0.1%
5 August 1862	2	0.1%
5 January 1864	2	0.1%
5 September 1861	2	0.1%
6 December 1861	2	0.1%
6 February 1865	2	0.1%
6 March 1865	2	0.1%
7 April 1864	2	0.1%
7 December 1861	2	0.1%
7 January 1862	2	0.1%
7 March 1865	2	0.1%
8 January 1862	2	0.1%
8 March 1865	2	0.1%
9 August 1862	2	0.1%
1 April 1864	1	0.0%
1 January 1864	1	0.0%
1 March 1865	1	0.0%
10 February 1862	1	0.0%
10 January 1862	1	0.0%
10 January 1863	1	0.0%
10 January 1864	1	0.0%
10 March 1863	1	0.0%
10 November 1862	1	0.0%
10 November 1864	1	0.0%
10 September 1862	1	0.0%
11 December 1863	1	0.0%
11 February 1864	1	0.0%
11 July 1863	1	0.0%
11 November 1864	1	0.0%
11 September 1863	1	0.0%
12 August 1861	1	0.0%
12 August 1863	1	0.0%
12 January 1862	1	0.0%
12 June 1863	1	0.0%
12 October 1863	1	0.0%
13 August 1862	1	0.0%
13 February 1862	1	0.0%
13 January 1864	1	0.0%
13 March 1864	1	0.0%
13 November 1862	1	0.0%
13 October 1861	1	0.0%
13 October 1863	1	0.0%
13 September 1863	1	0.0%
14 April 1864	1	0.0%
14 February 1862	1	0.0%
14 February 1864	1	0.0%
14 January 1865	1	0.0%
14 July 1863	1	0.0%
14 July 1864	1	0.0%
14 March 1864	1	0.0%
14 May 1861	1	0.0%
14 November 1862	1	0.0%
14 November 1863	1	0.0%
14 October 1863	1	0.0%
15 December 1861	1	0.0%
15 February 1865	1	0.0%
15 January 1864	1	0.0%
15 July 1862	1	0.0%
15 March 1864	1	0.0%
15 September 1862	1	0.0%
15 September 1863	1	0.0%
16 August 1861	1	0.0%
16 February 1863	1	0.0%
16 January 1864	1	0.0%
16 July 1862	1	0.0%
17 September 1862	1	0.0%
18 January 1864	1	0.0%
18 June 1862	1	0.0%
19 August 1861	1	0.0%
19 February 1864	1	0.0%
19 January 1862	1	0.0%
19 January 1865	1	0.0%
19 July 1862	1	0.0%
19 June 1862	1	0.0%
19 March 1862	1	0.0%
19 March 1864	1	0.0%
19 September 1862	1	0.0%
19 September 1864	1	0.0%
2 August 1863	1	0.0%
2 December 1862	1	0.0%
2 February 1865	1	0.0%
2 March 1863	1	0.0%
20 March 1862	1	0.0%
20 October 1861	1	0.0%
20 September 1863	1	0.0%
21 February 1862	1	0.0%
21 February 1865	1	0.0%
21 January 1865	1	0.0%
21 July 1862	1	0.0%
21 June 1862	1	0.0%
21 November 1862	1	0.0%
21 November 1864	1	0.0%
22 February 1862	1	0.0%
22 February 1864	1	0.0%
22 February 1865	1	0.0%
22 July 1861	1	0.0%
22 March 1864	1	0.0%
22 May 1864	1	0.0%
23 April 1862	1	0.0%
23 August 1863	1	0.0%
23 February 1865	1	0.0%
23 July 1862	1	0.0%
23 July 1863	1	0.0%
23 June 1862	1	0.0%
23 June 1864	1	0.0%
23 November 1863	1	0.0%
23 September 1864	1	0.0%
24 December 1861	1	0.0%
24 January 1862	1	0.0%
24 July 1862	1	0.0%
24 June 1862	1	0.0%
24 March 1862	1	0.0%
25 December 1861	1	0.0%
26 August 1863	1	0.0%
26 July 1863	1	0.0%
26 March 1864	1	0.0%
27 August 1864	1	0.0%
27 December 1861	1	0.0%
27 January 1862	1	0.0%
27 July 1864	1	0.0%
27 June 1862	1	0.0%
27 October 1861	1	0.0%
28 August 1862	1	0.0%
28 August 1863	1	0.0%
28 February 1864	1	0.0%
28 May 1865	1	0.0%
28 September 1863	1	0.0%
28 September 1864	1	0.0%
29 April 1862	1	0.0%
29 August 1862	1	0.0%
29 January 1862	1	0.0%
29 June 1865	1	0.0%
29 March 1864	1	0.0%
3 April 1864	1	0.0%
3 April 1865	1	0.0%
3 February 1865	1	0.0%
3 January 1862	1	0.0%
3 June 1864	1	0.0%
3 March 1864	1	0.0%
30 August 1864	1	0.0%
30 January 1862	1	0.0%
30 July 1862	1	0.0%
30 July 1864	1	0.0%
31 January 1864	1	0.0%
31 January 1865	1	0.0%
31 July 1863	1	0.0%
4 January 1862	1	0.0%
4 July 1863	1	0.0%
4 October 1864	1	0.0%
4 September 1862	1	0.0%
5 December 1861	1	0.0%
5 November 1864	1	0.0%
5 September 1862	1	0.0%
5 September 1863	1	0.0%
6 October 1861	1	0.0%
6 September 1862	1	0.0%
7 March 1864	1	0.0%
8 July 1863	1	0.0%
8 September 1863	1	0.0%
9 December 1863	1	0.0%
9 January 1865	1	0.0%
9 July 1863	1	0.0%
9 September 1864	1	0.0%

Muster in day of week, in frequency order

Tuesday	464	23.0%
Wednesday	387	19.2%
Monday	326	16.2%
Friday	297	14.7%
Thursday	295	14.6%
Saturday	205	10.2%
Sunday	41	2.0%
[unknown]	4	%

Muster in month, in frequency order

1865 March	337	16.7%
1861 September	273	13.5%
1861 October	242	12.0%
1861 November	184	9.1%
1861 August	169	8.4%
1864 February	108	5.4%
1865 February	95	4.7%
1861 December	92	4.6%
1864 September	73	3.6%
1863 July	68	3.4%
1864 January	66	3.3%
1862 August	45	2.2%
1862 January	41	2.0%
1864 March	38	1.9%
1862 September	29	1.4%
1864 October	29	1.4%
1863 September	22	1.1%
1863 August	14	0.7%
1862 July	13	0.6%
1865 January	7	0.3%
1862 June	6	0.3%
1862 February	5	0.2%
1863 October	5	0.2%
1864 April	5	0.2%
1865 May	5	0.2%
1862 November	4	0.2%
1863 November	4	0.2%
1864 August	4	0.2%
1864 June	4	0.2%
1864 November	4	0.2%
[unknown]	4	%
1862 March	3	0.1%
1862 October	3	0.1%
1864 July	3	0.1%
1862 April	2	0.1%
1863 December	2	0.1%
1863 March	2	0.1%
1861 July	1	0.0%
1861 May	1	0.0%
1862 December	1	0.0%
1863 February	1	0.0%
1863 January	1	0.0%
1863 June	1	0.0%
1864 May	1	0.0%
1865 April	1	0.0%
1865 June	1	0.0%

Muster in place, in frequency order

Philadelphia, Pennsylvania, US	1314	68.1%
Chambersburg, Franklin, Pennsylvania, US	202	10.5%
[unknown]	89	%
Norristown, Montgomery, Pennsylvania, US	72	3.7%
Hollidaysburg, Blair, Pennsylvania, US	58	3.0%
West Chester, Chester, Pennsylvania, US	39	2.0%
Pottsville, Schuylkill, Pennsylvania, US	30	1.6%
Pittsburgh, Allegheny, Pennsylvania, US	29	1.5%
Williamsport, Lycoming, Pennsylvania, US	25	1.3%
Frankford, Philadelphia, Pennsylvania, US	20	1.0%
Harrisburg, Dauphin, Pennsylvania, US	18	0.9%
Reading, Berks, Pennsylvania, US	15	0.8%
Lancaster, Pennsylvania, US	13	0.7%
Washington, District of Columbia, US	12	0.6%
Allegheny, Pennsylvania, US	8	0.4%
Greensburg, Westmoreland, Pennsylvania, US	8	0.4%
Easton, Northampton, Pennsylvania, US	7	0.4%
Scranton, Lackawanna, Pennsylvania, US	7	0.4%
Alexandria, Virginia, US	6	0.3%
Milton, Northumberland, Pennsylvania, US	6	0.3%
Meadville, Crawford, Pennsylvania, US	5	0.3%
Monroe, Pennsylvania, US	5	0.3%
Allegheny City, Allegheny, Pennsylvania, US	2	0.1%
Baltimore, Maryland, US	2	0.1%
Brookville, Jefferson, Pennsylvania, US	2	0.1%
N Brinton, Beaver, Pennsylvania, US	2	0.1%
New Brighton, Beaver, Pennsylvania, US	2	0.1%
near DC	2	0.1%
Altoona, Blair, Pennsylvania, US	1	0.1%
Armstrong, Pennsylvania, US	1	0.1%
Auburn, New York, US	1	0.1%
Blair, Pennsylvania, US	1	0.1%
Brighton	1	0.1%
Brinten[unknown], Pennsylvania, US	1	0.1%
Brownsboro[unknown], Pennsylvania, US	1	0.1%
Butler, Pennsylvania, US	1	0.1%
Carlisle, Cumberland, Pennsylvania, US	1	0.1%
East Hampton, Massachusetts, US	1	0.1%
Greensburgh, Westmoreland, Pennsylvania, US	1	0.1%
Gum Spring, Virginia, US	1	0.1%
New Jersey, US	1	0.1%
Norritown, Montgomery, Pennsylvania, US	1	0.1%
Oneida County, New York, US	1	0.1%
Portsmouth, Virginia, US	1	0.1%
Springfield, Massachusetts, US	1	0.1%
Tonawanda[unknown], Pennsylvania, US	1	0.1%
in the field	1	0.1%

Time in regiment (in days)

0	48	2.5%
1	7	0.4%
10	2	0.1%
100	3	0.2%
1000	1	0.1%
1003	2	0.1%
1004	1	0.1%
1008	3	0.2%
1009	1	0.1%
101	1	0.1%
1011	1	0.1%
1012	1	0.1%
1013	2	0.1%
1016	2	0.1%
1017	2	0.1%
1018	2	0.1%
1019	1	0.1%
102	4	0.2%
1020	1	0.1%
1021	1	0.1%
1024	1	0.1%
1025	2	0.1%
1026	2	0.1%
1027	2	0.1%
103	10	0.5%
1030	1	0.1%
1031	1	0.1%
1032	2	0.1%
1034	1	0.1%
1036	1	0.1%
1037	1	0.1%
1038	2	0.1%
104	24	1.2%
1043	1	0.1%
1044	1	0.1%
1047	1	0.1%
105	20	1.0%
1052	2	0.1%
1055	1	0.1%
1056	1	0.1%
1059	2	0.1%
106	3	0.2%
1062	1	0.1%
1063	3	0.2%
1066	2	0.1%
1068	2	0.1%
1069	2	0.1%
107	11	0.6%
1073	1	0.1%
1078	1	0.1%
108	27	1.4%
1082	1	0.1%
1083	1	0.1%
1086	2	0.1%
1089	1	0.1%
109	27	1.4%
1091	1	0.1%
1095	1	0.1%
1096	15	0.8%
1097	1	0.1%
1098	1	0.1%
1099	1	0.1%
11	2	0.1%
110	20	1.0%
1101	3	0.2%
1102	2	0.1%
1104	1	0.1%
1106	1	0.1%
1107	1	0.1%
1108	6	0.3%
1109	2	0.1%
111	16	0.8%
1110	1	0.1%
1112	1	0.1%
1113	2	0.1%
1114	4	0.2%
1115	2	0.1%
1116	3	0.2%
1118	1	0.1%
1119	2	0.1%
112	11	0.6%
1120	1	0.1%
1123	3	0.2%
1124	1	0.1%
1125	2	0.1%
1126	1	0.1%
1127	3	0.2%
1128	1	0.1%
1129	1	0.1%
113	5	0.3%
1131	1	0.1%
1135	1	0.1%
1136	2	0.1%
1137	1	0.1%
1138	1	0.1%
114	9	0.5%
1140	2	0.1%
1141	1	0.1%
1143	1	0.1%
1146	2	0.1%
1148	1	0.1%
115	7	0.4%
1150	1	0.1%
1153	1	0.1%
1154	1	0.1%
1155	1	0.1%
116	20	1.0%
1160	1	0.1%
1163	1	0.1%
1164	1	0.1%
1168	1	0.1%
117	23	1.2%
1172	1	0.1%
1177	1	0.1%
118	4	0.2%
1183	1	0.1%
1186	1	0.1%
119	6	0.3%
1190	1	0.1%
1193	1	0.1%
12	1	0.1%
1208	1	0.1%
121	19	1.0%
1211	1	0.1%
1216	1	0.1%
1217	1	0.1%
122	4	0.2%
1224	1	0.1%
1229	1	0.1%
123	3	0.2%
124	5	0.3%
1242	1	0.1%
125	4	0.2%
126	5	0.3%
1260	1	0.1%
1261	2	0.1%
1266	2	0.1%
1267	1	0.1%
127	3	0.2%
1272	1	0.1%
1273	1	0.1%
1274	2	0.1%
1276	2	0.1%
1277	1	0.1%
128	2	0.1%
1280	1	0.1%
1284	1	0.1%
1285	2	0.1%
129	1	0.1%
1290	1	0.1%
1292	1	0.1%
1298	1	0.1%
1299	1	0.1%
13	1	0.1%
130	21	1.1%
1302	1	0.1%
1306	1	0.1%
1307	1	0.1%
1308	2	0.1%
1309	1	0.1%
131	2	0.1%
1313	1	0.1%
1314	3	0.2%
1315	1	0.1%
1316	3	0.2%
1317	2	0.1%
1318	1	0.1%
1319	2	0.1%
132	48	2.5%
1328	3	0.2%
1329	1	0.1%
133	5	0.3%
1332	2	0.1%
1333	1	0.1%
1334	3	0.2%
1335	2	0.1%
1336	2	0.1%
134	1	0.1%
1342	3	0.2%
1343	1	0.1%
1344	3	0.2%
1345	1	0.1%
1347	1	0.1%
1348	1	0.1%
135	3	0.2%
1350	1	0.1%
1354	5	0.3%
1355	1	0.1%
1356	3	0.2%
1357	1	0.1%
136	4	0.2%
1360	4	0.2%
1361	2	0.1%
1362	2	0.1%
1364	2	0.1%
1365	3	0.2%
1366	2	0.1%
1367	1	0.1%
1368	3	0.2%
1369	2	0.1%
137	1	0.1%
1371	1	0.1%
1372	5	0.3%
1374	1	0.1%
1375	2	0.1%
1376	3	0.2%
1377	2	0.1%
1378	3	0.2%
1379	4	0.2%
138	2	0.1%
1381	1	0.1%
1382	3	0.2%
1384	4	0.2%
1385	8	0.4%
1386	6	0.3%
1388	1	0.1%
1389	1	0.1%
139	1	0.1%
1390	3	0.2%
1391	4	0.2%
1392	1	0.1%
1393	9	0.5%
1394	1	0.1%
1397	2	0.1%
1398	4	0.2%
1399	2	0.1%
14	1	0.1%
1400	3	0.2%
1403	2	0.1%
1404	1	0.1%
1405	1	0.1%
1407	3	0.2%
1409	1	0.1%
141	1	0.1%
1410	4	0.2%
1411	2	0.1%
1412	1	0.1%
1413	3	0.2%
1416	2	0.1%
1417	7	0.4%
1418	2	0.1%
1419	4	0.2%
142	1	0.1%
1420	19	1.0%
1428	1	0.1%
143	2	0.1%
1431	5	0.3%
144	3	0.2%
1442	1	0.1%
145	3	0.2%
146	1	0.1%
1461	1	0.1%
147	4	0.2%
149	6	0.3%
15	1	0.1%
150	2	0.1%
151	2	0.1%
152	2	0.1%
1530	1	0.1%
154	1	0.1%
1551	1	0.1%
156	1	0.1%
157	1	0.1%
158	2	0.1%
159	1	0.1%
160	3	0.2%
161	3	0.2%
162	3	0.2%
163	1	0.1%
165	3	0.2%
166	1	0.1%
167	1	0.1%
170	2	0.1%
171	2	0.1%
172	4	0.2%
173	2	0.1%
174	2	0.1%
175	4	0.2%
176	1	0.1%
178	2	0.1%
179	3	0.2%
18	1	0.1%
180	3	0.2%
182	3	0.2%
183	4	0.2%
186	2	0.1%
187	2	0.1%
188	2	0.1%
19	2	0.1%
190	1	0.1%
191	3	0.2%
193	1	0.1%
195	1	0.1%
196	3	0.2%
197	1	0.1%
198	1	0.1%
199	1	0.1%
2	7	0.4%
20	2	0.1%
201	1	0.1%
202	1	0.1%
203	1	0.1%
205	1	0.1%
208	3	0.2%
209	1	0.1%
21	5	0.3%
210	1	0.1%
211	1	0.1%
212	3	0.2%
214	3	0.2%
215	1	0.1%
216	1	0.1%
218	3	0.2%
219	1	0.1%
22	1	0.1%
222	2	0.1%
223	2	0.1%
225	1	0.1%
226	2	0.1%
23	2	0.1%
230	4	0.2%
231	1	0.1%
232	2	0.1%
233	3	0.2%
234	2	0.1%
236	1	0.1%
237	1	0.1%
238	2	0.1%
239	1	0.1%
24	1	0.1%
240	1	0.1%
241	3	0.2%
242	2	0.1%
244	2	0.1%
245	2	0.1%
246	14	0.7%
247	3	0.2%
248	2	0.1%
249	1	0.1%
25	3	0.2%
250	3	0.2%
251	5	0.3%
252	14	0.7%
253	19	1.0%
254	2	0.1%
255	1	0.1%
256	5	0.3%
257	1	0.1%
258	1	0.1%
260	2	0.1%
261	1	0.1%
263	1	0.1%
264	2	0.1%
265	1	0.1%
266	1	0.1%
267	4	0.2%
27	3	0.2%
271	1	0.1%
272	2	0.1%
273	2	0.1%
274	3	0.2%
275	9	0.5%
276	12	0.6%
277	3	0.2%
278	4	0.2%
279	2	0.1%
28	2	0.1%
280	2	0.1%
281	1	0.1%
282	1	0.1%
285	3	0.2%
286	1	0.1%
29	1	0.1%
291	2	0.1%
292	1	0.1%
294	2	0.1%
295	2	0.1%
299	2	0.1%
3	3	0.2%
30	2	0.1%
302	2	0.1%
304	1	0.1%
305	1	0.1%
307	3	0.2%
309	3	0.2%
31	3	0.2%
310	2	0.1%
311	2	0.1%
313	1	0.1%
315	1	0.1%
316	1	0.1%
318	1	0.1%
32	1	0.1%
320	1	0.1%
323	1	0.1%
324	1	0.1%
325	1	0.1%
327	1	0.1%
328	1	0.1%
329	4	0.2%
33	2	0.1%
330	2	0.1%
332	2	0.1%
333	2	0.1%
335	1	0.1%
338	3	0.2%
339	1	0.1%
342	1	0.1%
343	1	0.1%
345	1	0.1%
346	2	0.1%
348	2	0.1%
35	1	0.1%
350	1	0.1%
353	1	0.1%
354	1	0.1%
358	1	0.1%
36	4	0.2%
360	1	0.1%
361	1	0.1%
365	1	0.1%
367	1	0.1%
368	1	0.1%
372	1	0.1%
375	1	0.1%
38	3	0.2%
380	2	0.1%
381	2	0.1%
382	4	0.2%
383	1	0.1%
386	1	0.1%
389	2	0.1%
39	1	0.1%
391	1	0.1%
392	1	0.1%
393	2	0.1%
398	1	0.1%
399	1	0.1%
4	5	0.3%
40	2	0.1%
400	1	0.1%
401	2	0.1%
402	3	0.2%
403	2	0.1%
404	2	0.1%
407	1	0.1%
41	3	0.2%
410	2	0.1%
411	1	0.1%
413	4	0.2%
414	1	0.1%
415	1	0.1%
417	1	0.1%
419	1	0.1%
42	2	0.1%
420	2	0.1%
421	2	0.1%
422	1	0.1%
423	1	0.1%
425	1	0.1%
427	1	0.1%
428	4	0.2%
429	1	0.1%
43	1	0.1%
431	1	0.1%
432	1	0.1%
433	1	0.1%
434	1	0.1%
435	1	0.1%
436	2	0.1%
437	2	0.1%
438	1	0.1%
439	2	0.1%
44	4	0.2%
441	1	0.1%
442	1	0.1%
443	1	0.1%
444	2	0.1%
447	2	0.1%
448	1	0.1%
449	1	0.1%
45	1	0.1%
451	1	0.1%
452	4	0.2%
453	1	0.1%
455	1	0.1%
456	3	0.2%
457	1	0.1%
458	3	0.2%
459	2	0.1%
46	1	0.1%
462	1	0.1%
464	1	0.1%
465	2	0.1%
466	1	0.1%
467	1	0.1%
468	1	0.1%
469	1	0.1%
47	2	0.1%
470	1	0.1%
471	2	0.1%
472	3	0.2%
475	6	0.3%
477	2	0.1%
478	2	0.1%
479	2	0.1%
48	1	0.1%
480	1	0.1%
481	2	0.1%
482	2	0.1%
483	2	0.1%
484	1	0.1%
485	1	0.1%
486	3	0.2%
487	2	0.1%
489	3	0.2%
490	2	0.1%
491	1	0.1%
493	2	0.1%
494	2	0.1%
496	3	0.2%
497	1	0.1%
498	2	0.1%
499	4	0.2%
5	4	0.2%
50	1	0.1%
500	3	0.2%
501	2	0.1%
502	3	0.2%
503	3	0.2%
506	3	0.2%
507	3	0.2%
508	1	0.1%
51	1	0.1%
510	3	0.2%
511	4	0.2%
512	3	0.2%
513	5	0.3%
514	1	0.1%
515	1	0.1%
516	1	0.1%
517	6	0.3%
518	5	0.3%
520	3	0.2%
521	2	0.1%
522	6	0.3%
523	5	0.3%
524	6	0.3%
525	2	0.1%
526	2	0.1%
527	1	0.1%
528	2	0.1%
529	5	0.3%
53	1	0.1%
530	7	0.4%
531	8	0.4%
535	1	0.1%
536	7	0.4%
537	4	0.2%
538	2	0.1%
54	6	0.3%
540	2	0.1%
541	3	0.2%
543	3	0.2%
544	2	0.1%
545	4	0.2%
549	1	0.1%
55	1	0.1%
551	1	0.1%
552	3	0.2%
556	3	0.2%
559	2	0.1%
56	1	0.1%
560	1	0.1%
562	2	0.1%
563	1	0.1%
565	1	0.1%
567	1	0.1%
568	1	0.1%
57	3	0.2%
571	1	0.1%
572	1	0.1%
573	1	0.1%
577	1	0.1%
579	2	0.1%
581	3	0.2%
582	1	0.1%
585	1	0.1%
587	1	0.1%
588	1	0.1%
589	2	0.1%
59	1	0.1%
590	2	0.1%
592	1	0.1%
593	2	0.1%
594	1	0.1%
595	1	0.1%
596	3	0.2%
597	1	0.1%
598	2	0.1%
599	1	0.1%
6	1	0.1%
60	7	0.4%
600	1	0.1%
603	3	0.2%
604	1	0.1%
605	1	0.1%
606	2	0.1%
608	1	0.1%
61	2	0.1%
611	1	0.1%
614	2	0.1%
62	1	0.1%
621	2	0.1%
627	1	0.1%
629	1	0.1%
63	3	0.2%
630	1	0.1%
631	2	0.1%
634	2	0.1%
635	1	0.1%
637	1	0.1%
64	2	0.1%
641	2	0.1%
643	1	0.1%
646	1	0.1%
648	1	0.1%
65	2	0.1%
650	1	0.1%
651	2	0.1%
652	1	0.1%
653	1	0.1%
654	1	0.1%
655	4	0.2%
659	1	0.1%
66	2	0.1%
662	1	0.1%
664	1	0.1%
665	1	0.1%
666	1	0.1%
667	1	0.1%
668	1	0.1%
669	6	0.3%
67	1	0.1%
670	6	0.3%
672	2	0.1%
674	1	0.1%
679	2	0.1%
68	1	0.1%
680	1	0.1%
682	1	0.1%
683	4	0.2%
684	1	0.1%
685	1	0.1%
687	1	0.1%
688	1	0.1%
692	1	0.1%
695	1	0.1%
696	1	0.1%
698	2	0.1%
7	3	0.2%
70	1	0.1%
700	1	0.1%
703	2	0.1%
708	1	0.1%
709	7	0.4%
71	1	0.1%
711	3	0.2%
712	1	0.1%
713	1	0.1%
715	1	0.1%
717	6	0.3%
718	1	0.1%
719	2	0.1%
721	5	0.3%
722	1	0.1%
723	5	0.3%
724	9	0.5%
725	3	0.2%
726	8	0.4%
727	1	0.1%
728	5	0.3%
73	3	0.2%
730	1	0.1%
731	7	0.4%
733	1	0.1%
734	1	0.1%
737	1	0.1%
742	1	0.1%
744	1	0.1%
745	1	0.1%
750	1	0.1%
751	3	0.2%
759	1	0.1%
76	1	0.1%
760	1	0.1%
765	1	0.1%
766	1	0.1%
77	2	0.1%
773	1	0.1%
777	1	0.1%
78	1	0.1%
789	1	0.1%
794	2	0.1%
8	3	0.2%
80	1	0.1%
800	2	0.1%
802	1	0.1%
806	2	0.1%
81	1	0.1%
812	1	0.1%
818	1	0.1%
82	2	0.1%
823	2	0.1%
826	1	0.1%
828	1	0.1%
83	1	0.1%
832	1	0.1%
836	1	0.1%
847	2	0.1%
849	1	0.1%
85	2	0.1%
850	1	0.1%
853	1	0.1%
857	1	0.1%
86	2	0.1%
861	1	0.1%
867	1	0.1%
87	3	0.2%
874	1	0.1%
875	1	0.1%
877	1	0.1%
879	1	0.1%
88	7	0.4%
880	1	0.1%
881	1	0.1%
888	1	0.1%
89	4	0.2%
890	2	0.1%
895	1	0.1%
896	1	0.1%
90	3	0.2%
900	1	0.1%
904	1	0.1%
906	1	0.1%
908	1	0.1%
91	3	0.2%
915	1	0.1%
92	1	0.1%
920	1	0.1%
928	1	0.1%
93	2	0.1%
932	2	0.1%
933	2	0.1%
935	1	0.1%
938	1	0.1%
94	4	0.2%
942	1	0.1%
944	1	0.1%
948	1	0.1%
949	1	0.1%
95	4	0.2%
950	1	0.1%
951	1	0.1%
952	1	0.1%
955	1	0.1%
956	1	0.1%
96	1	0.1%
961	1	0.1%
964	1	0.1%
967	1	0.1%
968	1	0.1%
97	2	0.1%
970	1	0.1%
973	2	0.1%
978	1	0.1%
979	1	0.1%
98	1	0.1%
981	1	0.1%
982	1	0.1%
984	1	0.1%
987	3	0.2%
990	2	0.1%
991	2	0.1%
992	1	0.1%
[unknown]	95	%

Time in regiment (in days), in frequency order

[unknown]	95	%
0	48	2.5%
132	48	2.5%
108	27	1.4%
109	27	1.4%
104	24	1.2%
117	23	1.2%
130	21	1.1%
105	20	1.0%
110	20	1.0%
116	20	1.0%
121	19	1.0%
1420	19	1.0%
253	19	1.0%
111	16	0.8%
1096	15	0.8%
246	14	0.7%
252	14	0.7%
276	12	0.6%
107	11	0.6%
112	11	0.6%
103	10	0.5%
114	9	0.5%
1393	9	0.5%
275	9	0.5%
724	9	0.5%
1385	8	0.4%
531	8	0.4%
726	8	0.4%
1	7	0.4%
115	7	0.4%
1417	7	0.4%
2	7	0.4%
530	7	0.4%
536	7	0.4%
60	7	0.4%
709	7	0.4%
731	7	0.4%
88	7	0.4%
1108	6	0.3%
119	6	0.3%
1386	6	0.3%
149	6	0.3%
475	6	0.3%
517	6	0.3%
522	6	0.3%
524	6	0.3%
54	6	0.3%
669	6	0.3%
670	6	0.3%
717	6	0.3%
113	5	0.3%
124	5	0.3%
126	5	0.3%
133	5	0.3%
1354	5	0.3%
1372	5	0.3%
1431	5	0.3%
21	5	0.3%
251	5	0.3%
256	5	0.3%
4	5	0.3%
513	5	0.3%
518	5	0.3%
523	5	0.3%
529	5	0.3%
721	5	0.3%
723	5	0.3%
728	5	0.3%
102	4	0.2%
1114	4	0.2%
118	4	0.2%
122	4	0.2%
125	4	0.2%
136	4	0.2%
1360	4	0.2%
1379	4	0.2%
1384	4	0.2%
1391	4	0.2%
1398	4	0.2%
1410	4	0.2%
1419	4	0.2%
147	4	0.2%
172	4	0.2%
175	4	0.2%
183	4	0.2%
230	4	0.2%
267	4	0.2%
278	4	0.2%
329	4	0.2%
36	4	0.2%
382	4	0.2%
413	4	0.2%
428	4	0.2%
44	4	0.2%
452	4	0.2%
499	4	0.2%
5	4	0.2%
511	4	0.2%
537	4	0.2%
545	4	0.2%
655	4	0.2%
683	4	0.2%
89	4	0.2%
94	4	0.2%
95	4	0.2%
100	3	0.2%
1008	3	0.2%
106	3	0.2%
1063	3	0.2%
1101	3	0.2%
1116	3	0.2%
1123	3	0.2%
1127	3	0.2%
123	3	0.2%
127	3	0.2%
1314	3	0.2%
1316	3	0.2%
1328	3	0.2%
1334	3	0.2%
1342	3	0.2%
1344	3	0.2%
135	3	0.2%
1356	3	0.2%
1365	3	0.2%
1368	3	0.2%
1376	3	0.2%
1378	3	0.2%
1382	3	0.2%
1390	3	0.2%
1400	3	0.2%
1407	3	0.2%
1413	3	0.2%
144	3	0.2%
145	3	0.2%
160	3	0.2%
161	3	0.2%
162	3	0.2%
165	3	0.2%
179	3	0.2%
180	3	0.2%
182	3	0.2%
191	3	0.2%
196	3	0.2%
208	3	0.2%
212	3	0.2%
214	3	0.2%
218	3	0.2%
233	3	0.2%
241	3	0.2%
247	3	0.2%
25	3	0.2%
250	3	0.2%
27	3	0.2%
274	3	0.2%
277	3	0.2%
285	3	0.2%
3	3	0.2%
307	3	0.2%
309	3	0.2%
31	3	0.2%
338	3	0.2%
38	3	0.2%
402	3	0.2%
41	3	0.2%
456	3	0.2%
458	3	0.2%
472	3	0.2%
486	3	0.2%
489	3	0.2%
496	3	0.2%
500	3	0.2%
502	3	0.2%
503	3	0.2%
506	3	0.2%
507	3	0.2%
510	3	0.2%
512	3	0.2%
520	3	0.2%
541	3	0.2%
543	3	0.2%
552	3	0.2%
556	3	0.2%
57	3	0.2%
581	3	0.2%
596	3	0.2%
603	3	0.2%
63	3	0.2%
7	3	0.2%
711	3	0.2%
725	3	0.2%
73	3	0.2%
751	3	0.2%
8	3	0.2%
87	3	0.2%
90	3	0.2%
91	3	0.2%
987	3	0.2%
10	2	0.1%
1003	2	0.1%
1013	2	0.1%
1016	2	0.1%
1017	2	0.1%
1018	2	0.1%
1025	2	0.1%
1026	2	0.1%
1027	2	0.1%
1032	2	0.1%
1038	2	0.1%
1052	2	0.1%
1059	2	0.1%
1066	2	0.1%
1068	2	0.1%
1069	2	0.1%
1086	2	0.1%
11	2	0.1%
1102	2	0.1%
1109	2	0.1%
1113	2	0.1%
1115	2	0.1%
1119	2	0.1%
1125	2	0.1%
1136	2	0.1%
1140	2	0.1%
1146	2	0.1%
1261	2	0.1%
1266	2	0.1%
1274	2	0.1%
1276	2	0.1%
128	2	0.1%
1285	2	0.1%
1308	2	0.1%
131	2	0.1%
1317	2	0.1%
1319	2	0.1%
1332	2	0.1%
1335	2	0.1%
1336	2	0.1%
1361	2	0.1%
1362	2	0.1%
1364	2	0.1%
1366	2	0.1%
1369	2	0.1%
1375	2	0.1%
1377	2	0.1%
138	2	0.1%
1397	2	0.1%
1399	2	0.1%
1403	2	0.1%
1411	2	0.1%
1416	2	0.1%
1418	2	0.1%
143	2	0.1%
150	2	0.1%
151	2	0.1%
152	2	0.1%
158	2	0.1%
170	2	0.1%
171	2	0.1%
173	2	0.1%
174	2	0.1%
178	2	0.1%
186	2	0.1%
187	2	0.1%
188	2	0.1%
19	2	0.1%
20	2	0.1%
222	2	0.1%
223	2	0.1%
226	2	0.1%
23	2	0.1%
232	2	0.1%
234	2	0.1%
238	2	0.1%
242	2	0.1%
244	2	0.1%
245	2	0.1%
248	2	0.1%
254	2	0.1%
260	2	0.1%
264	2	0.1%
272	2	0.1%
273	2	0.1%
279	2	0.1%
28	2	0.1%
280	2	0.1%
291	2	0.1%
294	2	0.1%
295	2	0.1%
299	2	0.1%
30	2	0.1%
302	2	0.1%
310	2	0.1%
311	2	0.1%
33	2	0.1%
330	2	0.1%
332	2	0.1%
333	2	0.1%
346	2	0.1%
348	2	0.1%
380	2	0.1%
381	2	0.1%
389	2	0.1%
393	2	0.1%
40	2	0.1%
401	2	0.1%
403	2	0.1%
404	2	0.1%
410	2	0.1%
42	2	0.1%
420	2	0.1%
421	2	0.1%
436	2	0.1%
437	2	0.1%
439	2	0.1%
444	2	0.1%
447	2	0.1%
459	2	0.1%
465	2	0.1%
47	2	0.1%
471	2	0.1%
477	2	0.1%
478	2	0.1%
479	2	0.1%
481	2	0.1%
482	2	0.1%
483	2	0.1%
487	2	0.1%
490	2	0.1%
493	2	0.1%
494	2	0.1%
498	2	0.1%
501	2	0.1%
521	2	0.1%
525	2	0.1%
526	2	0.1%
528	2	0.1%
538	2	0.1%
540	2	0.1%
544	2	0.1%
559	2	0.1%
562	2	0.1%
579	2	0.1%
589	2	0.1%
590	2	0.1%
593	2	0.1%
598	2	0.1%
606	2	0.1%
61	2	0.1%
614	2	0.1%
621	2	0.1%
631	2	0.1%
634	2	0.1%
64	2	0.1%
641	2	0.1%
65	2	0.1%
651	2	0.1%
66	2	0.1%
672	2	0.1%
679	2	0.1%
698	2	0.1%
703	2	0.1%
719	2	0.1%
77	2	0.1%
794	2	0.1%
800	2	0.1%
806	2	0.1%
82	2	0.1%
823	2	0.1%
847	2	0.1%
85	2	0.1%
86	2	0.1%
890	2	0.1%
93	2	0.1%
932	2	0.1%
933	2	0.1%
97	2	0.1%
973	2	0.1%
990	2	0.1%
991	2	0.1%
1000	1	0.1%
1004	1	0.1%
1009	1	0.1%
101	1	0.1%
1011	1	0.1%
1012	1	0.1%
1019	1	0.1%
1020	1	0.1%
1021	1	0.1%
1024	1	0.1%
1030	1	0.1%
1031	1	0.1%
1034	1	0.1%
1036	1	0.1%
1037	1	0.1%
1043	1	0.1%
1044	1	0.1%
1047	1	0.1%
1055	1	0.1%
1056	1	0.1%
1062	1	0.1%
1073	1	0.1%
1078	1	0.1%
1082	1	0.1%
1083	1	0.1%
1089	1	0.1%
1091	1	0.1%
1095	1	0.1%
1097	1	0.1%
1098	1	0.1%
1099	1	0.1%
1104	1	0.1%
1106	1	0.1%
1107	1	0.1%
1110	1	0.1%
1112	1	0.1%
1118	1	0.1%
1120	1	0.1%
1124	1	0.1%
1126	1	0.1%
1128	1	0.1%
1129	1	0.1%
1131	1	0.1%
1135	1	0.1%
1137	1	0.1%
1138	1	0.1%
1141	1	0.1%
1143	1	0.1%
1148	1	0.1%
1150	1	0.1%
1153	1	0.1%
1154	1	0.1%
1155	1	0.1%
1160	1	0.1%
1163	1	0.1%
1164	1	0.1%
1168	1	0.1%
1172	1	0.1%
1177	1	0.1%
1183	1	0.1%
1186	1	0.1%
1190	1	0.1%
1193	1	0.1%
12	1	0.1%
1208	1	0.1%
1211	1	0.1%
1216	1	0.1%
1217	1	0.1%
1224	1	0.1%
1229	1	0.1%
1242	1	0.1%
1260	1	0.1%
1267	1	0.1%
1272	1	0.1%
1273	1	0.1%
1277	1	0.1%
1280	1	0.1%
1284	1	0.1%
129	1	0.1%
1290	1	0.1%
1292	1	0.1%
1298	1	0.1%
1299	1	0.1%
13	1	0.1%
1302	1	0.1%
1306	1	0.1%
1307	1	0.1%
1309	1	0.1%
1313	1	0.1%
1315	1	0.1%
1318	1	0.1%
1329	1	0.1%
1333	1	0.1%
134	1	0.1%
1343	1	0.1%
1345	1	0.1%
1347	1	0.1%
1348	1	0.1%
1350	1	0.1%
1355	1	0.1%
1357	1	0.1%
1367	1	0.1%
137	1	0.1%
1371	1	0.1%
1374	1	0.1%
1381	1	0.1%
1388	1	0.1%
1389	1	0.1%
139	1	0.1%
1392	1	0.1%
1394	1	0.1%
14	1	0.1%
1404	1	0.1%
1405	1	0.1%
1409	1	0.1%
141	1	0.1%
1412	1	0.1%
142	1	0.1%
1428	1	0.1%
1442	1	0.1%
146	1	0.1%
1461	1	0.1%
15	1	0.1%
1530	1	0.1%
154	1	0.1%
1551	1	0.1%
156	1	0.1%
157	1	0.1%
159	1	0.1%
163	1	0.1%
166	1	0.1%
167	1	0.1%
176	1	0.1%
18	1	0.1%
190	1	0.1%
193	1	0.1%
195	1	0.1%
197	1	0.1%
198	1	0.1%
199	1	0.1%
201	1	0.1%
202	1	0.1%
203	1	0.1%
205	1	0.1%
209	1	0.1%
210	1	0.1%
211	1	0.1%
215	1	0.1%
216	1	0.1%
219	1	0.1%
22	1	0.1%
225	1	0.1%
231	1	0.1%
236	1	0.1%
237	1	0.1%
239	1	0.1%
24	1	0.1%
240	1	0.1%
249	1	0.1%
255	1	0.1%
257	1	0.1%
258	1	0.1%
261	1	0.1%
263	1	0.1%
265	1	0.1%
266	1	0.1%
271	1	0.1%
281	1	0.1%
282	1	0.1%
286	1	0.1%
29	1	0.1%
292	1	0.1%
304	1	0.1%
305	1	0.1%
313	1	0.1%
315	1	0.1%
316	1	0.1%
318	1	0.1%
32	1	0.1%
320	1	0.1%
323	1	0.1%
324	1	0.1%
325	1	0.1%
327	1	0.1%
328	1	0.1%
335	1	0.1%
339	1	0.1%
342	1	0.1%
343	1	0.1%
345	1	0.1%
35	1	0.1%
350	1	0.1%
353	1	0.1%
354	1	0.1%
358	1	0.1%
360	1	0.1%
361	1	0.1%
365	1	0.1%
367	1	0.1%
368	1	0.1%
372	1	0.1%
375	1	0.1%
383	1	0.1%
386	1	0.1%
39	1	0.1%
391	1	0.1%
392	1	0.1%
398	1	0.1%
399	1	0.1%
400	1	0.1%
407	1	0.1%
411	1	0.1%
414	1	0.1%
415	1	0.1%
417	1	0.1%
419	1	0.1%
422	1	0.1%
423	1	0.1%
425	1	0.1%
427	1	0.1%
429	1	0.1%
43	1	0.1%
431	1	0.1%
432	1	0.1%
433	1	0.1%
434	1	0.1%
435	1	0.1%
438	1	0.1%
441	1	0.1%
442	1	0.1%
443	1	0.1%
448	1	0.1%
449	1	0.1%
45	1	0.1%
451	1	0.1%
453	1	0.1%
455	1	0.1%
457	1	0.1%
46	1	0.1%
462	1	0.1%
464	1	0.1%
466	1	0.1%
467	1	0.1%
468	1	0.1%
469	1	0.1%
470	1	0.1%
48	1	0.1%
480	1	0.1%
484	1	0.1%
485	1	0.1%
491	1	0.1%
497	1	0.1%
50	1	0.1%
508	1	0.1%
51	1	0.1%
514	1	0.1%
515	1	0.1%
516	1	0.1%
527	1	0.1%
53	1	0.1%
535	1	0.1%
549	1	0.1%
55	1	0.1%
551	1	0.1%
56	1	0.1%
560	1	0.1%
563	1	0.1%
565	1	0.1%
567	1	0.1%
568	1	0.1%
571	1	0.1%
572	1	0.1%
573	1	0.1%
577	1	0.1%
582	1	0.1%
585	1	0.1%
587	1	0.1%
588	1	0.1%
59	1	0.1%
592	1	0.1%
594	1	0.1%
595	1	0.1%
597	1	0.1%
599	1	0.1%
6	1	0.1%
600	1	0.1%
604	1	0.1%
605	1	0.1%
608	1	0.1%
611	1	0.1%
62	1	0.1%
627	1	0.1%
629	1	0.1%
630	1	0.1%
635	1	0.1%
637	1	0.1%
643	1	0.1%
646	1	0.1%
648	1	0.1%
650	1	0.1%
652	1	0.1%
653	1	0.1%
654	1	0.1%
659	1	0.1%
662	1	0.1%
664	1	0.1%
665	1	0.1%
666	1	0.1%
667	1	0.1%
668	1	0.1%
67	1	0.1%
674	1	0.1%
68	1	0.1%
680	1	0.1%
682	1	0.1%
684	1	0.1%
685	1	0.1%
687	1	0.1%
688	1	0.1%
692	1	0.1%
695	1	0.1%
696	1	0.1%
70	1	0.1%
700	1	0.1%
708	1	0.1%
71	1	0.1%
712	1	0.1%
713	1	0.1%
715	1	0.1%
718	1	0.1%
722	1	0.1%
727	1	0.1%
730	1	0.1%
733	1	0.1%
734	1	0.1%
737	1	0.1%
742	1	0.1%
744	1	0.1%
745	1	0.1%
750	1	0.1%
759	1	0.1%
76	1	0.1%
760	1	0.1%
765	1	0.1%
766	1	0.1%
773	1	0.1%
777	1	0.1%
78	1	0.1%
789	1	0.1%
80	1	0.1%
802	1	0.1%
81	1	0.1%
812	1	0.1%
818	1	0.1%
826	1	0.1%
828	1	0.1%
83	1	0.1%
832	1	0.1%
836	1	0.1%
849	1	0.1%
850	1	0.1%
853	1	0.1%
857	1	0.1%
861	1	0.1%
867	1	0.1%
874	1	0.1%
875	1	0.1%
877	1	0.1%
879	1	0.1%
880	1	0.1%
881	1	0.1%
888	1	0.1%
895	1	0.1%
896	1	0.1%
900	1	0.1%
904	1	0.1%
906	1	0.1%
908	1	0.1%
915	1	0.1%
92	1	0.1%
920	1	0.1%
928	1	0.1%
935	1	0.1%
938	1	0.1%
942	1	0.1%
944	1	0.1%
948	1	0.1%
949	1	0.1%
950	1	0.1%
951	1	0.1%
952	1	0.1%
955	1	0.1%
956	1	0.1%
96	1	0.1%
961	1	0.1%
964	1	0.1%
967	1	0.1%
968	1	0.1%
970	1	0.1%
978	1	0.1%
979	1	0.1%
98	1	0.1%
981	1	0.1%
982	1	0.1%
984	1	0.1%
992	1	0.1%

Time in regiment (in days), summary

based on 1925 instances
minimum	1 days
maximum	1552 days
median	362 days
mode	1 / 133: 48 instances
mean	508.7 days
standard deviation	452.02

Time in regiment (grouped)

A: 0-9 days	81	4.2%
B: 10-399 days	906	47.1%
C: 400-799 days	469	24.4%
D: 800-1199 days	229	11.9%
E: 1200 or more days	239	12.4%
[unknown]	95	%

Time in regiment (grouped), by volunteer status

	[unknown]	draftee	substitute	volunteer	total
A: 0-9 days	1 (0.28)	0 (12.6)	17 (12.68)	63 (55.44)	81
B: 10-399 days	2 (3.14)	227 (140.9)	274 (141.8)	403 (620.15)	906
C: 400-799 days	3 (1.63)	80 (72.94)	24 (73.4)	362 (321.03)	469
D: 800-1199 days	0 (0.79)	3 (35.61)	0 (35.84)	226 (156.75)	229
E: 1200 or more days	0 (0.83)	0 (37.17)	0 (37.41)	239 (163.59)	239
[unknown]	1 (0.33)	4 (14.77)	1 (14.87)	89 (65.03)	95
total	7	314	316	1382	2019

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 (0.12)	3 (1.35)	0 (0.7)	0 (0.34)	0 (0.36)	0 (0.14)	3
Belgium	0 (0.04)	1 (0.45)	0 (0.23)	0 (0.11)	0 (0.12)	0 (0.05)	1
Canada	2 (0.8)	16 (8.97)	1 (4.65)	0 (2.27)	1 (2.37)	0 (0.94)	20
Dublin	0 (0.04)	1 (0.45)	0 (0.23)	0 (0.11)	0 (0.12)	0 (0.05)	1
England	8 (2.93)	35 (32.76)	14 (16.96)	7 (8.28)	8 (8.64)	1 (3.43)	73
France	0 (0.6)	6 (6.73)	5 (3.48)	1 (1.7)	3 (1.78)	0 (0.71)	15
Germany	1 (3.29)	53 (36.8)	20 (19.05)	2 (9.3)	6 (9.71)	0 (3.86)	82
Hanover	0 (0.04)	0 (0.45)	1 (0.23)	0 (0.11)	0 (0.12)	0 (0.05)	1
Ireland	21 (10.39)	108 (116.22)	52 (60.16)	35 (29.38)	36 (30.66)	7 (12.19)	259
Jamaica	0 (0.04)	0 (0.45)	0 (0.23)	1 (0.11)	0 (0.12)	0 (0.05)	1
Malta	0 (0.04)	1 (0.45)	0 (0.23)	0 (0.11)	0 (0.12)	0 (0.05)	1
Mexico	0 (0.04)	0 (0.45)	0 (0.23)	1 (0.11)	0 (0.12)	0 (0.05)	1
Poland	0 (0.04)	1 (0.45)	0 (0.23)	0 (0.11)	0 (0.12)	0 (0.05)	1
Prussia	0 (0.28)	7 (3.14)	0 (1.63)	0 (0.79)	0 (0.83)	0 (0.33)	7
Saxon-Meiningen	0 (0.04)	0 (0.45)	0 (0.23)	0 (0.11)	0 (0.12)	1 (0.05)	1
Scotland	1 (0.84)	6 (9.42)	8 (4.88)	2 (2.38)	2 (2.49)	2 (0.99)	21
Spain	1 (0.08)	1 (0.9)	0 (0.46)	0 (0.23)	0 (0.24)	0 (0.09)	2
Switzerland	0 (0.28)	7 (3.14)	0 (1.63)	0 (0.79)	0 (0.83)	0 (0.33)	7
USA	19 (48.26)	521 (539.83)	295 (279.45)	163 (136.45)	164 (142.41)	41 (56.6)	1203
Wales	1 (0.16)	1 (1.79)	1 (0.93)	0 (0.45)	1 (0.47)	0 (0.19)	4
[unknown]	27 (12.64)	138 (141.35)	72 (73.17)	17 (35.73)	18 (37.29)	43 (14.82)	315
total	81	906	469	229	239	95	2019

chi square wasn't calculated because 97 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	19 (48.26)	62 (32.74)	81
B: 10-399 days	521 (539.83)	385 (366.17)	906
C: 400-799 days	295 (279.45)	174 (189.55)	469
D: 800-1199 days	163 (136.45)	66 (92.55)	229
E: 1200 or more days	164 (142.41)	75 (96.59)	239
[unknown]	41 (56.6)	54 (38.4)	95
total	1203	816	2019

values in parentheses are expected values
degrees of freedom: 5
chi-square: 79.17
p < 5.0E-4
Cramer's V: 0.2

Veteran reenlistments

reenlisted as veteran volunteer	271	13.4%
did not reenlist as veteran volunteer	1748	86.6%

Veteran status

ineligible	1507	81.8%
veteran	271	14.7%
[unknown]	176	%
unwilling to reenlist	40	2.2%
willing to reenlist	25	1.4%

Volunteer status

volunteer	1382	68.7%
substitute	316	15.7%
draftee	314	15.6%
[unknown]	7	%

Wounded

not wounded	1703	84.3%
wounded	316	15.7%

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

[unknown]	12	%
apoplexy	1	2.7%
chronic bronchitis	1	2.7%
chronic diarrhea	2	5.4%
consumption	1	2.7%
consumption lungs	1	2.7%
cramp colic; or natural causes	1	2.7%
delirium tremens	2	5.4%
enteritis	1	2.7%
exposure	1	2.7%
heart disease	1	2.7%
inflammation of bowels	1	2.7%
measles	1	2.7%
meningitis	1	2.7%
phthisis pulmonalis	1	2.7%
phthisis pulmonalis; or typhoid fever	1	2.7%
pleurisy and pneumonia	1	2.7%
pulmonary disease from exposure; or phthisis pulmonalis	1	2.7%
smallpox	1	2.7%
sunstroke	1	2.7%
typhoid fever	8	21.6%
typhoid fever; or apoplexy	2	5.4%
typhoid fever; or peritonitis	1	2.7%
typhoid fever; or pulmonary consumption	1	2.7%
typhoid fever; or rheumatism	1	2.7%
typhoid fever; or typhoid fever	2	5.4%
unknown causes	1	2.7%

Cause of death

	3	1.1%
Andersonville	1	0.4%
Andersonville, of starvation	1	0.4%
Bright's Disease	1	0.4%
Bright's disease of the kidneys	1	0.4%
Brights disease	1	0.4%
[illegible] gangrene of both legs	1	0.4%
[unknown]	1735	%
accidentally killed on Reading RR	1	0.4%
acute [illegible] tuberculosis	1	0.4%
acute cystitis	1	0.4%
alcoholism	1	0.4%
anaemia	1	0.4%
aortic aneurysm	1	0.4%
apopletic paralysis	1	0.4%
apoplexy	8	2.8%
apoplexy (cerebral)	1	0.4%
apoplexy; contributory--old age	1	0.4%
apoplexy; contributory-exhaustion	1	0.4%
arterio-capillary fibrosis	1	0.4%
arterio-capillary fibrosis [?]	1	0.4%
arteriosclerosis	1	0.4%
arteriosclerosis; contributory--bedsores	1	0.4%
asthenia result of epithelioma	1	0.4%
bronchitis	1	0.4%
by a fall while in confinement; or fall from a window in hospital at Alexandria VA	1	0.4%
by a fall while on duty; or fractured skull	1	0.4%
cancer of stomach	2	0.7%
capillary bronchitis	1	0.4%
capillary bronchitis resulting from an attack of influenza	1	0.4%
carbuncle	1	0.4%
carcinoma of carotid glands	1	0.4%
carcinoma of liver	1	0.4%
cardiac hypertrophy; contributory-chr nephritis	1	0.4%
catarrhal jaundice and alcoholism	1	0.4%
cerebral apoplexy	1	0.4%
cerebral apoplexy; contributory: arteriosclerosis	1	0.4%
cerebral haemorrhage from injuries received by accidental fall	1	0.4%
cerebral hemorrhage	3	1.1%
cerebral hemorrhage; contributory: starvation	1	0.4%
cerebral paralysis	1	0.4%
cerebral softening	1	0.4%
cerebral softenings	1	0.4%
cerebral tumor; secondary cause exhaustion	1	0.4%
cerebritis	1	0.4%
chief carcinoma of inferior maxilla; contributing: exhaustion	1	0.4%
cholera asphyxia	1	0.4%
chronic Bright's disease	1	0.4%
chronic bronchitis	3	1.1%
chronic diarrhea	3	1.1%
chronic diarrhoea	1	0.4%
chronic dysentery	1	0.4%
chronic enteritis	1	0.4%
chronic interstitial nephritis; contributory--arteriosclerosis	1	0.4%
chronic parenchymatous nephritis	1	0.4%
chronic parencymatous nephritis	1	0.4%
chronic valvular heart disease; contributory bronchitis	1	0.4%
cirrhosis of liver	3	1.1%
cirrhosis of liver; contributing: constitutional	1	0.4%
congestion of lungs	1	0.4%
congestive fever	1	0.4%
consumption	8	2.8%
consumption lungs	2	0.7%
consumption of lulngs	1	0.4%
consumption of lungs	2	0.7%
consumption of lungs [?]	1	0.4%
consumption of the lungs	1	0.4%
cramp colic; or natural causes	1	0.4%
cystitis and senility; contributory--old age	1	0.4%
cystitis due to enlarged prostate; contributory old age	1	0.4%
cystitis; enlarged prostate contributing	1	0.4%
debility	1	0.4%
debility after debauch	1	0.4%
delirium tremens	2	0.7%
diabetes mellitus	1	0.4%
diarrhea	1	0.4%
diarrhea and debility	1	0.4%
dilatation of heart	1	0.4%
disease of heart	1	0.4%
disease of liver + stomach	1	0.4%
disease of the heart	2	0.7%
dropsy	1	0.4%
dropsy from disease of liver	1	0.4%
dropsy of heart	1	0.4%
drowning	2	0.7%
edema of lungs + uremia; contributing melancholia pseudo-elephantiasis	1	0.4%
enteritis	1	0.4%
exhaustion	1	0.4%
exhaustion following phlebitis	1	0.4%
exhaustion resulting from gunshot wound of left hand	1	0.4%
exposure	1	0.4%
fatty degeneration of the heart	1	0.4%
frac base of skull due to acdl fall on pavement	1	0.4%
general debility	1	0.4%
general drops from organic valvular disease of the heart	1	0.4%
gun shot wound	1	0.4%
gun shot wound recd in battle	1	0.4%
gunshot flesh wound of left thigh	1	0.4%
gunshot wound	3	1.1%
heart disease	6	2.1%
heart disease - valvular	1	0.4%
heart disease;contributing: chronic interstitial nephritis	1	0.4%
heart trouble and dropsy	1	0.4%
hemiplegia + nephritis	1	0.4%
hemorrhage of lungs	1	0.4%
in Andersonville Prison, Georgia	1	0.4%
in Andersonville Prison, Georgia, of marasmus	1	0.4%
in Richmond Prison	1	0.4%
in Richmond, Virginia	1	0.4%
inanition	1	0.4%
inanition; contributing: alcoholic gastritis	1	0.4%
inflammation of bowels	3	1.1%
inflammation of brain + pneumonia	1	0.4%
inflammation of knee joint	1	0.4%
inflammation of the brain; contributory coma	1	0.4%
injuries accd recd from a fall	1	0.4%
injuries accidentally received	1	0.4%
injuries in falling	1	0.4%
injuries recd by a fall down stairs	1	0.4%
injuries received from a fall	1	0.4%
injuries received in a fall	1	0.4%
interstitial nephritis and cardiac incompetence	1	0.4%
interstitial nephritis; contributory: pulmonary edema	1	0.4%
intestinal carcinoma [and] exhaustion	1	0.4%
intestinal obstruction	1	0.4%
la grippe	1	0.4%
lobar pneumonia r side	1	0.4%
lobar pneumonia; contributing: senility and arteriosclerosis	1	0.4%
locomotor ataxia	1	0.4%
locomotor ataxia--contributing nephritis + heart failure	1	0.4%
marasmus + acute alcoholism	1	0.4%
measles	1	0.4%
meningitis	1	0.4%
mitral regurgitation	1	0.4%
myocarditis and nephritis	1	0.4%
myocarditis; contributory--nephritis	1	0.4%
natural causes	1	0.4%
nephritis	1	0.4%
nephritis comp with heart disease	1	0.4%
nephritis; contributory: myocarditis	1	0.4%
no doctor in charge [sic]	1	0.4%
obstruction of bowels	1	0.4%
oedema of lungs	1	0.4%
old age	2	0.7%
paralysis	4	1.4%
paralysis of the brain	1	0.4%
paresis	1	0.4%
peritonitis	1	0.4%
phthisis	3	1.1%
phthisis pulmonalis	15	5.3%
phthisis pulmonalis; or typhoid fever	1	0.4%
pleurisy and pneumonia	1	0.4%
pleuro-pneumonia	1	0.4%
pneumonia	4	1.4%
pneumonia; contributing: chronic interstitial nephritis with cardiac degeneration	1	0.4%
pneumonia; contributing: collopus [?]	1	0.4%
pneumonia; contributory general catarrh and influenzic catarrh	1	0.4%
pulled out of a train	1	0.4%
pulmonary consumption	1	0.4%
pulmonary disease from exposure; or phthisis pulmonalis	1	0.4%
pulmonary phthisis	1	0.4%
pulmonary phthisis and enlarged liver	1	0.4%
pulmonary tuberculosis	2	0.7%
rapid consumption	1	0.4%
run over by railroad train	1	0.4%
running sore and general debility	1	0.4%
sclerosis of liver	1	0.4%
second hemorrhage (amp of thigh)	1	0.4%
senility	1	0.4%
senility and hypostatic congestion of the lungs;contributory: fracture of neck of femure (fell down stairs)	1	0.4%
septicaemia and uraemia	1	0.4%
serous apoplexy	1	0.4%
shot in head	4	1.4%
shot in head while charging enemy works	1	0.4%
shot in head while charging enemy's works	1	0.4%
shot in leg	1	0.4%
smallpox	1	0.4%
stroke of paralysis	1	0.4%
sunstroke	1	0.4%
syphilis	1	0.4%
terminal dementia; contributory: mitral insuffiency	1	0.4%
trampled	1	0.4%
transverse myelitis	1	0.4%
typhoid fever	13	4.6%
typhoid fever; or apoplexy	2	0.7%
typhoid fever; or peritonitis	1	0.4%
typhoid fever; or pulmonary consumption	1	0.4%
typhoid fever; or rheumatism	1	0.4%
typhoid fever; or typhoid fever	2	0.7%
typhoid pneumonia	1	0.4%
typhoid pneumonia with congestion	1	0.4%
unknown causes	1	0.4%
uraemia--contributing cause chronic interstitial nephritis	1	0.4%
uraemia; contributing: injuries accidentally received falling down stairs	1	0.4%
uraemic convulsions	1	0.4%
valvular disease of heart	3	1.1%
valvular heart disease	1	0.4%
valvular heart disease; contributing: pneumonia	1	0.4%
valvular heart disease; contributory-hardening of arteries	1	0.4%
wounded in left breast	1	0.4%
wounds	1	0.4%
wounds received in action and loss of limb	1	0.4%
wounds--gun shot	1	0.4%

Attended 1884 Survivors' association meeting

attended	33	1.6%
did not attend	1986	98.4%

Attended 1884 meeting, by volunteer status

	attended	did not attend	total
[unknown]	0 (0.11)	7 (6.89)	7
draftee	0 (5.13)	314 (308.87)	314
substitute	0 (5.16)	316 (310.84)	316
volunteer	33 (22.59)	1349 (1359.41)	1382
total	33	1986	2019

values in parentheses are expected values
degrees of freedom: 3
chi-square: 15.45
p < 0.0025
Cramer's V: 0.09

Attended 1884 meeting, by exit reason

	attended	did not attend	total
[unknown]	0 (0.7)	43 (42.3)	43
deserted	0 (4.71)	288 (283.29)	288
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 (1.05)	64 (62.95)	64
died (of battle wounds)	0 (0.8)	49 (48.2)	49
died (of illness)	0 (0.8)	49 (48.2)	49
died (probably of illness)	0 (0.1)	6 (5.9)	6
unknown	0 (0.07)	4 (3.93)	4
was absent on detached duty when the regiment mustered out	0 (0.07)	4 (3.93)	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 (1.47)	90 (88.53)	90
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 (0.2)	12 (11.8)	12
was discharged by general order	4 (2.6)	155 (156.4)	159
was discharged by habeas corpus	0 (0.16)	10 (9.84)	10
was discharged by special order	2 (0.42)	24 (25.58)	26
was discharged on surgeon's certificate of disability	10 (5.48)	325 (329.52)	335
was discharged to be promoted	0 (0.07)	4 (3.93)	4
was discharged when his term expired	7 (1.18)	65 (70.82)	72
was dishonorably discharged by general court martial	0 (0.07)	4 (3.93)	4
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 (0.07)	4 (3.93)	4
was mustered out with the regiment	5 (10.69)	649 (643.31)	654
was resigned	1 (0.13)	7 (7.87)	8
was transferred	1 (0.33)	19 (19.67)	20
was transferred to the Veterans' Reserve Corps	2 (1.01)	60 (60.99)	62
total	33	1986	2019

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

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

	attended	did not attend	total
[unknown]	10 (4.15)	164 (169.85)	174
ineligible	13 (20.82)	859 (851.18)	872
unwilling to reenlist	3 (0.96)	37 (39.04)	40
veteran	4 (6.47)	267 (264.53)	271
willing to reenlist	3 (0.6)	22 (24.4)	25
total	33	1349	1382

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

Desertions by volunteer status

	deserted	never deserted	total
[unknown]	2 (1.25)	5 (5.75)	7
draftee	13 (55.99)	301 (258.01)	314
substitute	49 (56.34)	267 (259.66)	316
volunteer	296 (246.42)	1086 (1135.58)	1382
total	360	1659	2019

values in parentheses are expected values
degrees of freedom: 3
chi-square: 54.02
p < 5.0E-4
Cramer's V: 0.16

Desertions by volunteer status (excluding unknowns)

	deserted	never deserted	total
draftee	13 (55.87)	301 (258.13)	314
substitute	49 (56.23)	267 (259.77)	316
volunteer	296 (245.9)	1086 (1136.1)	1382
total	358	1654	2012

values in parentheses are expected values
degrees of freedom: 2
chi-square: 53.56
p < 5.0E-4
Cramer's V: 0.16

Desertion status, by veteran status, excluding unknowns

	deserted	never deserted	total
ineligible	282 (265.75)	1225 (1241.25)	1507
unwilling to reenlist	6 (7.05)	34 (32.95)	40
veteran	35 (47.79)	236 (223.21)	271
willing to reenlist	2 (4.41)	23 (20.59)	25
total	325	1518	1843

values in parentheses are expected values
degrees of freedom: 3
chi-square: 7.15
p < 0.1
Cramer's V: 0.06

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

	deserted	never deserted	total
ineligible	218 (188.4)	654 (683.6)	872
unwilling to reenlist	6 (8.64)	34 (31.36)	40
veteran	35 (58.55)	236 (212.45)	271
willing to reenlist	2 (5.4)	23 (19.6)	25
total	261	947	1208

values in parentheses are expected values
degrees of freedom: 3
chi-square: 21.77
p < 5.0E-4
Cramer's V: 0.13

Deaths, by volunteer status

	did not die while in regiment	died while in regiment	total
[unknown]	7 (6.35)	0 (0.65)	7
draftee	303 (284.92)	11 (29.08)	314
substitute	305 (286.73)	11 (29.27)	316
volunteer	1217 (1254.0)	165 (128.0)	1382
total	1832	187	2019

values in parentheses are expected values
degrees of freedom: 3
chi-square: 37.46
p < 5.0E-4
Cramer's V: 0.14

Birth country, by volunteer status

	[unknown]	draftee	substitute	volunteer	total
Bavaria	0 (0.01)	0 (0.47)	3 (0.47)	0 (2.05)	3
Belgium	0 (0.0)	0 (0.16)	1 (0.16)	0 (0.68)	1
Canada	0 (0.07)	1 (3.11)	16 (3.13)	3 (13.69)	20
Dublin	0 (0.0)	0 (0.16)	1 (0.16)	0 (0.68)	1
England	0 (0.25)	2 (11.04)	29 (11.11)	40 (48.6)	71
France	1 (0.05)	1 (2.33)	4 (2.35)	9 (10.27)	15
Germany	0 (0.28)	13 (12.44)	42 (12.52)	25 (54.76)	80
Ireland	1 (0.87)	8 (39.19)	57 (39.44)	186 (172.49)	252
Jamaica	0 (0.0)	0 (0.16)	0 (0.16)	1 (0.68)	1
Malta	0 (0.0)	0 (0.16)	0 (0.16)	1 (0.68)	1
Poland	0 (0.0)	0 (0.16)	1 (0.16)	0 (0.68)	1
Prussia	0 (0.02)	0 (0.93)	6 (0.94)	0 (4.11)	6
Scotland	0 (0.07)	1 (3.27)	4 (3.29)	16 (14.37)	21
Spain	0 (0.01)	0 (0.31)	0 (0.31)	2 (1.37)	2
Switzerland	0 (0.02)	1 (1.09)	6 (1.1)	0 (4.79)	7
USA	3 (3.77)	186 (169.21)	116 (170.29)	783 (744.73)	1088
Wales	0 (0.01)	0 (0.62)	1 (0.63)	3 (2.74)	4
[unknown]	2 (1.54)	101 (69.21)	29 (69.65)	313 (304.6)	445
total	7	314	316	1382	2019

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

Desertions by birth country

	deserted	never deserted	total
Bavaria	1 (0.53)	2 (2.47)	3
Belgium	1 (0.18)	0 (0.82)	1
Canada	7 (3.57)	13 (16.43)	20
Dublin	0 (0.18)	1 (0.82)	1
England	20 (12.66)	51 (58.34)	71
France	1 (2.67)	14 (12.33)	15
Germany	11 (14.26)	69 (65.74)	80
Ireland	77 (44.93)	175 (207.07)	252
Jamaica	1 (0.18)	0 (0.82)	1
Malta	0 (0.18)	1 (0.82)	1
Poland	1 (0.18)	0 (0.82)	1
Prussia	0 (1.07)	6 (4.93)	6
Scotland	4 (3.74)	17 (17.26)	21
Spain	2 (0.36)	0 (1.64)	2
Switzerland	1 (1.25)	6 (5.75)	7
USA	141 (194.0)	947 (894.0)	1088
Wales	1 (0.71)	3 (3.29)	4
[unknown]	91 (79.35)	354 (365.65)	445
total	360	1659	2019

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

Desertions by birth country (excluding unknowns)

	deserted	never deserted	total
US	141 (185.94)	947 (902.06)	1088
not US	128 (83.06)	358 (402.94)	486
total	269	1305	1574

values in parentheses are expected values
degrees of freedom: 1
chi-square: 42.43
p < 5.0E-4
Cramer's V: 0.16

Desertions, by occupation class

	deserted	never deserted	total
Artisans	65 (72.21)	340 (332.79)	405
Manual laborers	94 (71.5)	307 (329.5)	401
Not in labor force	1 (0.53)	2 (2.47)	3
Professionals and large proprietors	0 (2.5)	14 (11.5)	14
Semi-professionals and smaller proprietors	41 (66.51)	332 (306.49)	373
Service and semi-skilled workers	23 (19.08)	84 (87.92)	107
[unknown]	123 (117.15)	534 (539.85)	657
unknown class	13 (10.52)	46 (48.48)	59
total	360	1659	2019

values in parentheses are expected values
degrees of freedom: 7
chi-square: 27.0
p < 5.0E-4
Cramer's V: 0.12

Desertions, by HISCO major class

	deserted	never deserted	total
[unknown]	125 (119.64)	546 (551.36)	671
administrative and managerial workers	0 (0.18)	1 (0.82)	1
agricultural, animal husbandry and forestry workers, fisherman, and hunters	18 (36.55)	187 (168.45)	205
clerical and related workers	16 (14.26)	64 (65.74)	80
not in work force	1 (0.53)	2 (2.47)	3
production and related workers, transport equipment operators, and laborers	192 (178.31)	808 (821.69)	1000
professional, technical, and related workers	1 (1.78)	9 (8.22)	10
sales workers	4 (5.88)	29 (27.12)	33
service workers	3 (2.85)	13 (13.15)	16
total	360	1659	2019

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

Desertions, by occupation class (excluding unknowns)

	deserted	never deserted	total
Artisans	65 (69.62)	340 (335.38)	405
Manual laborers	94 (68.94)	307 (332.06)	401
Not in labor force	1 (0.52)	2 (2.48)	3
Professionals and large proprietors	0 (2.41)	14 (11.59)	14
Semi-professionals and smaller proprietors	41 (64.12)	332 (308.88)	373
Service and semi-skilled workers	23 (18.39)	84 (88.61)	107
total	224	1079	1303

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

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

	deserted	never deserted	total
Artisans	65 (69.62)	340 (335.38)	405
Manual laborers	94 (68.94)	307 (332.06)	401
Other	1 (2.92)	16 (14.08)	17
Semi-professionals and smaller proprietors	41 (64.12)	332 (308.88)	373
Service and semi-skilled workers	23 (18.39)	84 (88.61)	107
total	224	1079	1303

values in parentheses are expected values
degrees of freedom: 4
chi-square: 24.36
p < 5.0E-4
Cramer's V: 0.14

Month and year of desertion (including multiple desertions)

1861 08 [September]	5	1.6%
1861 09 [October]	20	6.5%
1861 10 [November]	16	5.2%
1861 11 [December]	21	6.8%
1862 00 [January]	14	4.5%
1862 01 [February]	1	0.3%
1862 02 [March]	7	2.3%
1862 03 [April]	8	2.6%
1862 04 [May]	5	1.6%
1862 05 [June]	11	3.5%
1862 06 [July]	7	2.3%
1862 07 [August]	15	4.8%
1862 08 [September]	7	2.3%
1862 09 [October]	7	2.3%
1862 10 [November]	1	0.3%
1862 11 [December]	3	1.0%
1863 00 [January]	3	1.0%
1863 01 [February]	3	1.0%
1863 02 [March]	2	0.6%
1863 03 [April]	3	1.0%
1863 04 [May]	4	1.3%
1863 05 [June]	5	1.6%
1863 06 [July]	7	2.3%
1863 07 [August]	3	1.0%
1863 08 [September]	3	1.0%
1863 10 [November]	1	0.3%
1863 11 [December]	1	0.3%
1864 00 [January]	7	2.3%
1864 01 [February]	11	3.5%
1864 02 [March]	15	4.8%
1864 03 [April]	5	1.6%
1864 04 [May]	2	0.6%
1864 05 [June]	8	2.6%
1864 06 [July]	10	3.2%
1864 07 [August]	4	1.3%
1864 09 [October]	1	0.3%
1864 11 [December]	7	2.3%
1865 01 [February]	3	1.0%
1865 02 [March]	24	7.7%
1865 03 [April]	8	2.6%
1865 04 [May]	4	1.3%
1865 05 [June]	29	9.4%
1865 06 [July]	6	1.9%
[unknown]	50	%

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

1861 08 [September]	5	2.0%
1861 09 [October]	20	8.0%
1861 10 [November]	16	6.4%
1861 11 [December]	21	8.4%
1862 00 [January]	14	5.6%
1862 01 [February]	1	0.4%
1862 02 [March]	7	2.8%
1862 03 [April]	8	3.2%
1862 04 [May]	5	2.0%
1862 05 [June]	11	4.4%
1862 06 [July]	7	2.8%
1862 07 [August]	15	6.0%
1862 08 [September]	7	2.8%
1862 09 [October]	7	2.8%
1862 10 [November]	1	0.4%
1862 11 [December]	3	1.2%
1863 00 [January]	3	1.2%
1863 01 [February]	3	1.2%
1863 02 [March]	2	0.8%
1863 03 [April]	3	1.2%
1863 04 [May]	4	1.6%
1863 05 [June]	5	2.0%
1863 06 [July]	7	2.8%
1863 07 [August]	3	1.2%
1863 08 [September]	3	1.2%
1863 10 [November]	1	0.4%
1863 11 [December]	1	0.4%
1864 00 [January]	7	2.8%
1864 01 [February]	11	4.4%
1864 02 [March]	15	6.0%
1864 03 [April]	4	1.6%
1864 04 [May]	2	0.8%
1864 05 [June]	7	2.8%
1864 06 [July]	9	3.6%
1864 07 [August]	4	1.6%
1864 11 [December]	3	1.2%
1865 01 [February]	1	0.4%
1865 02 [March]	6	2.4%
1865 03 [April]	4	1.6%
1865 04 [May]	1	0.4%
1865 05 [June]	5	2.0%
1865 06 [July]	2	0.8%
[unknown]	46	%

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

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

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

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

Year of desertion (including multiple desertions)

1861	62	20.0%
1862	86	27.7%
1863	35	11.3%
1864	70	22.6%
1865	74	23.9%
[unknown]	50	%

Year of desertion (including multiple desertions), volunteers only

1861	62	24.8%
1862	86	34.4%
1863	35	14.0%
1864	62	24.8%
1865	19	7.6%
[unknown]	46	%

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

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

Year of desertion (including multiple desertions), substitutes only

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

Deaths by birth country

	did not die while in regiment	died while in regiment	total
Bavaria	3 (2.72)	0 (0.28)	3
Belgium	1 (0.91)	0 (0.09)	1
Canada	20 (18.15)	0 (1.85)	20
Dublin	0 (0.91)	1 (0.09)	1
England	66 (64.42)	5 (6.58)	71
France	14 (13.61)	1 (1.39)	15
Germany	75 (72.59)	5 (7.41)	80
Ireland	223 (228.66)	29 (23.34)	252
Jamaica	1 (0.91)	0 (0.09)	1
Malta	1 (0.91)	0 (0.09)	1
Poland	1 (0.91)	0 (0.09)	1
Prussia	6 (5.44)	0 (0.56)	6
Scotland	17 (19.05)	4 (1.95)	21
Spain	2 (1.81)	0 (0.19)	2
Switzerland	7 (6.35)	0 (0.65)	7
USA	981 (987.23)	107 (100.77)	1088
Wales	4 (3.63)	0 (0.37)	4
[unknown]	410 (403.78)	35 (41.22)	445
total	1832	187	2019

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

Deaths by veteran status

	did not die while in regiment	died while in regiment	total
[unknown]	165 (159.7)	11 (16.3)	176
ineligible	1381 (1367.42)	126 (139.58)	1507
unwilling to reenlist	36 (36.3)	4 (3.7)	40
veteran	227 (245.9)	44 (25.1)	271
willing to reenlist	23 (22.68)	2 (2.32)	25
total	1832	187	2019

values in parentheses are expected values
degrees of freedom: 4
chi-square: 19.11
p < 0.0010
Cramer's V: 0.1

Veteran status, by exit reason

	[unknown]	ineligible	unwilling to reenlist	veteran	willing to reenlist	total
[unknown]	32 (3.75)	11 (32.1)	0 (0.85)	0 (5.77)	0 (0.53)	43
deserted	12 (25.11)	264 (214.97)	0 (5.71)	12 (38.66)	0 (3.57)	288
died (accidentally killed)	1 (0.61)	4 (5.22)	0 (0.14)	2 (0.94)	0 (0.09)	7
died (by committing suicide)	0 (0.26)	3 (2.24)	0 (0.06)	0 (0.4)	0 (0.04)	3
died (by drowning)	0 (0.26)	3 (2.24)	0 (0.06)	0 (0.4)	0 (0.04)	3
died (in Confederate prison)	1 (0.52)	4 (4.48)	0 (0.12)	1 (0.81)	0 (0.07)	6
died (killed in action)	1 (5.58)	45 (47.77)	3 (1.27)	15 (8.59)	0 (0.79)	64
died (of battle wounds)	4 (4.27)	22 (36.57)	1 (0.97)	20 (6.58)	2 (0.61)	49
died (of illness)	4 (4.27)	40 (36.57)	0 (0.97)	5 (6.58)	0 (0.61)	49
died (probably of illness)	0 (0.52)	5 (4.48)	0 (0.12)	1 (0.81)	0 (0.07)	6
unknown	4 (0.35)	0 (2.99)	0 (0.08)	0 (0.54)	0 (0.05)	4
was absent on detached duty when the regiment mustered out	0 (0.35)	3 (2.99)	0 (0.08)	1 (0.54)	0 (0.05)	4
was absent on furlough when the regiment mustered out	0 (0.7)	6 (5.97)	0 (0.16)	2 (1.07)	0 (0.1)	8
was absent when the regiment mustered out	5 (7.85)	52 (67.18)	0 (1.78)	32 (12.08)	1 (1.11)	90
was absent without leave when the regiment mustered out	0 (0.17)	2 (1.49)	0 (0.04)	0 (0.27)	0 (0.02)	2
was cashiered	0 (0.26)	1 (2.24)	0 (0.06)	2 (0.4)	0 (0.04)	3
was discharged	2 (0.87)	5 (7.46)	0 (0.2)	3 (1.34)	0 (0.12)	10
was discharged because overage	0 (0.09)	1 (0.75)	0 (0.02)	0 (0.13)	0 (0.01)	1
was discharged because underage	0 (1.05)	12 (8.96)	0 (0.24)	0 (1.61)	0 (0.15)	12
was discharged by general order	13 (13.86)	120 (118.68)	2 (3.15)	7 (21.34)	17 (1.97)	159
was discharged by habeas corpus	0 (0.87)	10 (7.46)	0 (0.2)	0 (1.34)	0 (0.12)	10
was discharged by special order	5 (2.27)	21 (19.41)	0 (0.52)	0 (3.49)	0 (0.32)	26
was discharged on surgeon's certificate of disability	15 (29.2)	301 (250.05)	3 (6.64)	13 (44.97)	3 (4.15)	335
was discharged to be promoted	1 (0.35)	2 (2.99)	0 (0.08)	1 (0.54)	0 (0.05)	4
was discharged when his term expired	42 (6.28)	0 (53.74)	30 (1.43)	0 (9.66)	0 (0.89)	72
was dishonorably discharged by general court martial	1 (0.35)	2 (2.99)	0 (0.08)	1 (0.54)	0 (0.05)	4
was dismissed	0 (0.26)	3 (2.24)	0 (0.06)	0 (0.4)	0 (0.04)	3
was dropped from rolls	0 (0.09)	1 (0.75)	0 (0.02)	0 (0.13)	0 (0.01)	1
was missing in action	0 (0.44)	5 (3.73)	0 (0.1)	0 (0.67)	0 (0.06)	5
was mustered out	0 (0.35)	4 (2.99)	0 (0.08)	0 (0.54)	0 (0.05)	4
was mustered out with the regiment	19 (57.01)	487 (488.15)	1 (12.96)	147 (87.78)	0 (8.1)	654
was resigned	2 (0.7)	6 (5.97)	0 (0.16)	0 (1.07)	0 (0.1)	8
was transferred	2 (1.74)	14 (14.93)	0 (0.4)	2 (2.68)	2 (0.25)	20
was transferred to the Veterans' Reserve Corps	10 (5.4)	48 (46.28)	0 (1.23)	4 (8.32)	0 (0.77)	62
total	176	1507	40	271	25	2019

chi square wasn't calculated because 128 expected values were less than 5

Veteran status by birth country

	[unknown]	ineligible	unwilling to reenlist	veteran	willing to reenlist	total
Bavaria	0 (0.26)	3 (2.24)	0 (0.06)	0 (0.4)	0 (0.04)	3
Belgium	0 (0.09)	1 (0.75)	0 (0.02)	0 (0.13)	0 (0.01)	1
Canada	0 (1.74)	19 (14.93)	0 (0.4)	1 (2.68)	0 (0.25)	20
Dublin	0 (0.09)	1 (0.75)	0 (0.02)	0 (0.13)	0 (0.01)	1
England	4 (6.19)	55 (53.0)	1 (1.41)	10 (9.53)	1 (0.88)	71
France	2 (1.31)	10 (11.2)	0 (0.3)	2 (2.01)	1 (0.19)	15
Germany	1 (6.97)	72 (59.71)	0 (1.58)	7 (10.74)	0 (0.99)	80
Ireland	20 (21.97)	180 (188.1)	7 (4.99)	42 (33.82)	3 (3.12)	252
Jamaica	0 (0.09)	0 (0.75)	1 (0.02)	0 (0.13)	0 (0.01)	1
Malta	0 (0.09)	1 (0.75)	0 (0.02)	0 (0.13)	0 (0.01)	1
Poland	0 (0.09)	1 (0.75)	0 (0.02)	0 (0.13)	0 (0.01)	1
Prussia	0 (0.52)	6 (4.48)	0 (0.12)	0 (0.81)	0 (0.07)	6
Scotland	2 (1.83)	15 (15.67)	0 (0.42)	4 (2.82)	0 (0.26)	21
Spain	0 (0.17)	2 (1.49)	0 (0.04)	0 (0.27)	0 (0.02)	2
Switzerland	0 (0.61)	7 (5.22)	0 (0.14)	0 (0.94)	0 (0.09)	7
USA	86 (94.84)	759 (812.09)	30 (21.56)	194 (146.04)	19 (13.47)	1088
Wales	0 (0.35)	3 (2.99)	0 (0.08)	1 (0.54)	0 (0.05)	4
[unknown]	61 (38.79)	372 (332.15)	1 (8.82)	10 (59.73)	1 (5.51)	445
total	176	1507	40	271	25	2019

chi square wasn't calculated because 67 expected values were less than 5

Age of volunteers

based on 1365 instances
minimum	13 years
maximum	56 years
median	25 years
mode	18: 169 instances
mean	27.5 years
standard deviation	9.21

Age of drafted men

based on 313 instances
minimum	18 years
maximum	44 years
median	29 years
mode	24: 23 instances
mean	29.5 years
standard deviation	7.06

Age of substitutes

based on 316 instances
minimum	16 years
maximum	45 years
median	23.0 years
mode	18: 41 instances
mean	24.9 years
standard deviation	6.95

Age at enlistment of men who began as commissioned officers

based on 29 instances
minimum	19 years
maximum	56 years
median	30 years
mode	22: 5 instances
mean	30.4 years
standard deviation	12.84

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

based on 1971 instances
minimum	13 years
maximum	54 years
median	25 years
mode	18: 212 instances
mean	27.4 years
standard deviation	8.62

Age at enlistment of men who ended as commissioned officers

based on 73 instances
minimum	18 years
maximum	56 years
median	25 years
mode	22: 8 instances
mean	27.2 years
standard deviation	10.83

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 (0.6)	2 (0.6)	0 (0.0)	0 (0.02)	0 (0.55)	0 (0.16)	0 (0.98)	0 (0.09)	3
Belgium	0 (0.2)	0 (0.2)	0 (0.0)	0 (0.01)	1 (0.18)	0 (0.05)	0 (0.33)	0 (0.03)	1
Canada	5 (4.01)	6 (3.97)	0 (0.03)	0 (0.14)	5 (3.69)	3 (1.06)	1 (6.51)	0 (0.58)	20
Dublin	0 (0.2)	0 (0.2)	0 (0.0)	0 (0.01)	0 (0.18)	0 (0.05)	1 (0.33)	0 (0.03)	1
England	18 (14.24)	24 (14.1)	0 (0.11)	0 (0.49)	6 (13.12)	8 (3.76)	11 (23.1)	4 (2.07)	71
France	5 (3.01)	3 (2.98)	0 (0.02)	1 (0.1)	2 (2.77)	1 (0.79)	2 (4.88)	1 (0.44)	15
Germany	27 (16.05)	23 (15.89)	0 (0.12)	1 (0.55)	17 (14.78)	1 (4.24)	8 (26.03)	3 (2.34)	80
Ireland	42 (50.55)	123 (50.05)	0 (0.37)	1 (1.75)	27 (46.56)	19 (13.36)	36 (82.0)	4 (7.36)	252
Jamaica	0 (0.2)	0 (0.2)	0 (0.0)	0 (0.01)	0 (0.18)	0 (0.05)	1 (0.33)	0 (0.03)	1
Malta	1 (0.2)	0 (0.2)	0 (0.0)	0 (0.01)	0 (0.18)	0 (0.05)	0 (0.33)	0 (0.03)	1
Poland	0 (0.2)	0 (0.2)	0 (0.0)	0 (0.01)	0 (0.18)	0 (0.05)	1 (0.33)	0 (0.03)	1
Prussia	3 (1.2)	1 (1.19)	0 (0.01)	0 (0.04)	1 (1.11)	0 (0.32)	1 (1.95)	0 (0.18)	6
Scotland	5 (4.21)	4 (4.17)	0 (0.03)	0 (0.15)	3 (3.88)	1 (1.11)	8 (6.83)	0 (0.61)	21
Spain	0 (0.4)	1 (0.4)	0 (0.0)	0 (0.01)	0 (0.37)	1 (0.11)	0 (0.65)	0 (0.06)	2
Switzerland	1 (1.4)	1 (1.39)	0 (0.01)	0 (0.05)	2 (1.29)	1 (0.37)	2 (2.28)	0 (0.2)	7
USA	287 (218.25)	209 (216.09)	3 (1.62)	11 (7.54)	304 (201.0)	70 (57.66)	158 (354.04)	46 (31.79)	1088
Wales	3 (0.8)	0 (0.79)	0 (0.01)	0 (0.03)	0 (0.74)	0 (0.21)	1 (1.3)	0 (0.12)	4
[unknown]	7 (89.26)	4 (88.38)	0 (0.66)	0 (3.09)	5 (82.21)	2 (23.58)	426 (144.81)	1 (13.0)	445
total	405	401	3	14	373	107	657	59	2019

chi square wasn't calculated because 115 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 (1.0)	0 (0.0)	0 (0.3)	0 (0.12)	0 (0.0)	3 (1.49)	0 (0.01)	0 (0.05)	0 (0.02)	3
Belgium	0 (0.33)	0 (0.0)	0 (0.1)	1 (0.04)	0 (0.0)	0 (0.5)	0 (0.0)	0 (0.02)	0 (0.01)	1
Canada	2 (6.65)	0 (0.01)	3 (2.03)	0 (0.79)	0 (0.03)	15 (9.91)	0 (0.1)	0 (0.33)	0 (0.16)	20
Dublin	1 (0.33)	0 (0.0)	0 (0.1)	0 (0.04)	0 (0.0)	0 (0.5)	0 (0.0)	0 (0.02)	0 (0.01)	1
England	12 (23.6)	0 (0.04)	3 (7.21)	3 (2.81)	0 (0.11)	52 (35.17)	0 (0.35)	0 (1.16)	1 (0.56)	71
France	2 (4.99)	0 (0.01)	1 (1.52)	1 (0.59)	0 (0.02)	9 (7.43)	1 (0.07)	0 (0.25)	1 (0.12)	15
Germany	9 (26.59)	0 (0.04)	8 (8.12)	1 (3.17)	0 (0.12)	56 (39.62)	0 (0.4)	3 (1.31)	3 (0.63)	80
Ireland	38 (83.75)	0 (0.12)	19 (25.59)	3 (9.99)	0 (0.37)	186 (124.81)	0 (1.25)	4 (4.12)	2 (2.0)	252
Jamaica	1 (0.33)	0 (0.0)	0 (0.1)	0 (0.04)	0 (0.0)	0 (0.5)	0 (0.0)	0 (0.02)	0 (0.01)	1
Malta	0 (0.33)	0 (0.0)	0 (0.1)	0 (0.04)	0 (0.0)	1 (0.5)	0 (0.0)	0 (0.02)	0 (0.01)	1
Poland	1 (0.33)	0 (0.0)	0 (0.1)	0 (0.04)	0 (0.0)	0 (0.5)	0 (0.0)	0 (0.02)	0 (0.01)	1
Prussia	1 (1.99)	0 (0.0)	0 (0.61)	0 (0.24)	0 (0.01)	5 (2.97)	0 (0.03)	0 (0.1)	0 (0.05)	6
Scotland	8 (6.98)	0 (0.01)	0 (2.13)	0 (0.83)	0 (0.03)	13 (10.4)	0 (0.1)	0 (0.34)	0 (0.17)	21
Spain	0 (0.66)	0 (0.0)	0 (0.2)	0 (0.08)	0 (0.0)	2 (0.99)	0 (0.01)	0 (0.03)	0 (0.02)	2
Switzerland	2 (2.33)	0 (0.0)	1 (0.71)	1 (0.28)	0 (0.01)	3 (3.47)	0 (0.03)	0 (0.11)	0 (0.06)	7
USA	167 (361.59)	1 (0.54)	168 (110.47)	69 (43.11)	3 (1.62)	636 (538.88)	9 (5.39)	26 (17.78)	9 (8.62)	1088
Wales	1 (1.33)	0 (0.0)	0 (0.41)	0 (0.16)	0 (0.01)	3 (1.98)	0 (0.02)	0 (0.07)	0 (0.03)	4
[unknown]	426 (147.89)	0 (0.22)	2 (45.18)	1 (17.63)	0 (0.66)	16 (220.41)	0 (2.2)	0 (7.27)	0 (3.53)	445
total	671	1	205	80	3	1000	10	33	16	2019

chi square wasn't calculated because 135 expected values were less than 5

Born in US, by occupation class

	US	[unknown]	not US	total
Artisans	287 (218.25)	7 (89.26)	111 (97.49)	405
Manual laborers	209 (216.09)	4 (88.38)	188 (96.53)	401
Not in labor force	3 (1.62)	0 (0.66)	0 (0.72)	3
Professionals and large proprietors	11 (7.54)	0 (3.09)	3 (3.37)	14
Semi-professionals and smaller proprietors	304 (201.0)	5 (82.21)	64 (89.79)	373
Service and semi-skilled workers	70 (57.66)	2 (23.58)	35 (25.76)	107
[unknown]	158 (354.04)	426 (144.81)	73 (158.15)	657
unknown class	46 (31.79)	1 (13.0)	12 (14.2)	59
total	1088	445	486	2019

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

Born in US, by HISCO major class

	US	[unknown]	not US	total
[unknown]	167 (361.59)	426 (147.89)	78 (161.52)	671
administrative and managerial workers	1 (0.54)	0 (0.22)	0 (0.24)	1
agricultural, animal husbandry and forestry workers, fisherman, and hunters	168 (110.47)	2 (45.18)	35 (49.35)	205
clerical and related workers	69 (43.11)	1 (17.63)	10 (19.26)	80
not in work force	3 (1.62)	0 (0.66)	0 (0.72)	3
production and related workers, transport equipment operators, and laborers	636 (538.88)	16 (220.41)	348 (240.71)	1000
professional, technical, and related workers	9 (5.39)	0 (2.2)	1 (2.41)	10
sales workers	26 (17.78)	0 (7.27)	7 (7.94)	33
service workers	9 (8.62)	0 (3.53)	7 (3.85)	16
total	1088	445	486	2019

chi square wasn't calculated because 10 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	1081 (1070.76)	7 (17.24)	1088
[unknown]	422 (437.95)	23 (7.05)	445
not US	484 (478.3)	2 (7.7)	486
total	1987	32	2019

values in parentheses are expected values
degrees of freedom: 2
chi-square: 47.13
p < 5.0E-4
Cramer's V: 0.15

Born in US, by whether they ended as commissioned officers

	did not end as commissioned officer	ended as commissioned officer	total
US	1049 (1045.43)	39 (42.57)	1088
[unknown]	413 (427.59)	32 (17.41)	445
not US	478 (466.98)	8 (19.02)	486
total	1940	79	2019

values in parentheses are expected values
degrees of freedom: 2
chi-square: 19.68
p < 5.0E-4
Cramer's V: 0.1

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	1177 (1183.93)	26 (19.07)	1203
not born in US	810 (803.07)	6 (12.93)	816
total	1987	32	2019

values in parentheses are expected values
degrees of freedom: 1
chi-square: 6.33
p < 0.02
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	1139 (1155.93)	64 (47.07)	1203
not born in US	801 (784.07)	15 (31.93)	816
total	1940	79	2019

values in parentheses are expected values
degrees of freedom: 1
chi-square: 15.68
p < 5.0E-4
Cramer's V: 0.09

Volunteer status, by occupation class

	[unknown]	draftee	substitute	volunteer	total
Artisans	0 (1.4)	41 (62.99)	51 (63.39)	313 (277.22)	405
Manual laborers	2 (1.39)	60 (62.36)	138 (62.76)	201 (274.48)	401
Not in labor force	0 (0.01)	0 (0.47)	0 (0.47)	3 (2.05)	3
Professionals and large proprietors	0 (0.05)	3 (2.18)	2 (2.19)	9 (9.58)	14
Semi-professionals and smaller proprietors	1 (1.29)	79 (58.01)	49 (58.38)	244 (255.32)	373
Service and semi-skilled workers	0 (0.37)	4 (16.64)	18 (16.75)	85 (73.24)	107
[unknown]	3 (2.28)	118 (102.18)	56 (102.83)	480 (449.71)	657
unknown class	1 (0.2)	9 (9.18)	2 (9.23)	47 (40.39)	59
total	7	314	316	1382	2019

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

Volunteer status, by HISCO occupation class

	[unknown]	draftee	substitute	volunteer	total
[unknown]	3 (2.33)	121 (104.36)	59 (105.02)	488 (459.3)	671
administrative and managerial workers	0 (0.0)	0 (0.16)	0 (0.16)	1 (0.68)	1
agricultural, animal husbandry and forestry workers, fisherman, and hunters	0 (0.71)	77 (31.88)	34 (32.09)	94 (140.32)	205
clerical and related workers	1 (0.28)	0 (12.44)	6 (12.52)	73 (54.76)	80
not in work force	0 (0.01)	0 (0.47)	0 (0.47)	3 (2.05)	3
production and related workers, transport equipment operators, and laborers	2 (3.47)	108 (155.52)	210 (156.51)	680 (684.5)	1000
professional, technical, and related workers	0 (0.03)	1 (1.56)	0 (1.57)	9 (6.84)	10
sales workers	0 (0.11)	6 (5.13)	2 (5.16)	25 (22.59)	33
service workers	1 (0.06)	1 (2.49)	5 (2.5)	9 (10.95)	16
total	7	314	316	1382	2019

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

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

	draftee	substitute	volunteer	total
Artisans	41 (58.26)	51 (80.38)	313 (266.37)	405
Manual laborers	60 (57.39)	138 (79.19)	201 (262.42)	399
Other	3 (2.45)	2 (3.37)	12 (11.18)	17
Semi-professionals and smaller proprietors	79 (53.51)	49 (73.83)	244 (244.66)	372
Service and semi-skilled workers	4 (15.39)	18 (21.24)	85 (70.37)	107
total	187	258	855	1300

values in parentheses are expected values
degrees of freedom: 8
chi-square: 115.39
p < 5.0E-4
Cramer's V: 0.21

Veteran status, by occupation class

	[unknown]	ineligible	unwilling to reenlist	veteran	willing to reenlist	total
Artisans	34 (35.3)	266 (302.3)	14 (8.02)	86 (54.36)	5 (5.01)	405
Manual laborers	10 (34.96)	330 (299.31)	6 (7.94)	50 (53.82)	5 (4.97)	401
Not in labor force	1 (0.26)	2 (2.24)	0 (0.06)	0 (0.4)	0 (0.04)	3
Professionals and large proprietors	3 (1.22)	7 (10.45)	1 (0.28)	1 (1.88)	2 (0.17)	14
Semi-professionals and smaller proprietors	21 (32.52)	272 (278.41)	6 (7.39)	66 (50.07)	8 (4.62)	373
Service and semi-skilled workers	14 (9.33)	61 (79.87)	3 (2.12)	28 (14.36)	1 (1.32)	107
[unknown]	90 (57.27)	527 (490.39)	9 (13.02)	27 (88.19)	4 (8.14)	657
unknown class	3 (5.14)	42 (44.04)	1 (1.17)	13 (7.92)	0 (0.73)	59
total	176	1507	40	271	25	2019

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

Veteran status, by HISCO major class