Occupation data classified into the 24 1881 'Orders', plus sex
| Data for 1881 | Sex | |
|---|---|---|
| 1881 Occupational Orders | Male | Female |
| General/Local Government |
93
|
11
|
| Defence of the country |
169
|
0
|
| Professionals |
381
|
244
|
| Domestic Service or Offices |
267
|
2,788
|
| Commercial Occupations |
265
|
9
|
| Transport & Comm. |
1,125
|
19
|
| Agriculture |
2,097
|
158
|
| Animals |
393
|
6
|
| Wkrs in Books, Prints & Maps |
71
|
11
|
| Wkrs in Machines & Implements |
113
|
7
|
| Wkrs in House, Furniture & Decorations |
1,470
|
12
|
| Wkrs in Carriages & Harnesses |
91
|
1
|
| Wkrs in Ships & Boats |
76
|
1
|
| Wkrs in Chemicals & Compounds |
48
|
1
|
| Wkrs in Tobacco & Pipes |
9
|
2
|
| Wkrs in Food & Lodging |
855
|
879
|
| Wkrs in Textile Fabrics |
643
|
1,110
|
| Wkrs in Dress |
339
|
532
|
| Wkrs in Var. Animal Substances |
8
|
2
|
| Wkrs in Var. Vegetable Substances |
71
|
55
|
| Wkrs in Var. Mineral Substances |
562
|
14
|
| Wkrs in General or Unspecified Commodities |
827
|
103
|
| Wkrs in Refuse Matters |
13
|
0
|
| Persons without Specified Occupations |
294
|
2,540
|
| Unknown Occupation |
289
|
4,240
|
| Date: | Source: |
|---|---|
| 1881 | 1881 Census of England and Wales, Ages, Table 10, 'Occupations of Males and Females in the Division and its Registration Counties' |
We are grateful to the following contributors. If you make use of the data in your own work, please follow any instructions given here on acknowledgment and re-use.
| Date: | Acknowledgments: |
|---|---|
| 1881 | Matthew Woollard (History Data Service, UK Data Archive, University of Essex). Role: editor. Restrictions on use: Statistics derived from the 1881 microdata for individual localities may be reproduced provided the contributors are acknowledged. |
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This data matrix presents simplified version of the 1881 occupational data, using the 24 'Orders' used in the published reports for 1881, plus an 'Unknown' category. Many of these categories combine 'Workers and Dealers' in different commodities, so it is impossible to distinguish workers in manufacturing and services.