Persons Aged over 10 by Sex, Age & 1911 Occupational Order

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Data for 1911:

Sex = Male 1911 Occupation Tables Age Groups
1911 Occupational Classification 10-12 13 14 15 16 17 18 19 20-24 25-34 35-44 45-54 55-64 65 up
Government 0 Show data context 0 Show data context 14 Show data context 7 Show data context 11 Show data context 7 Show data context 6 Show data context 15 Show data context 64 Show data context 154 Show data context 93 Show data context 55 Show data context 15 Show data context 12 Show data context
Defence 0 Show data context 0 Show data context 0 Show data context 0 Show data context 0 Show data context 0 Show data context 6 Show data context 5 Show data context 64 Show data context 42 Show data context 9 Show data context 1 Show data context 1 Show data context 0 Show data context
Professional Occupations 0 Show data context 1 Show data context 5 Show data context 8 Show data context 19 Show data context 17 Show data context 19 Show data context 19 Show data context 138 Show data context 220 Show data context 173 Show data context 88 Show data context 53 Show data context 25 Show data context
Domestic Services 0 Show data context 1 Show data context 4 Show data context 3 Show data context 7 Show data context 9 Show data context 9 Show data context 7 Show data context 37 Show data context 80 Show data context 89 Show data context 58 Show data context 45 Show data context 16 Show data context
Commercial Occupations 0 Show data context 1 Show data context 48 Show data context 54 Show data context 80 Show data context 74 Show data context 67 Show data context 62 Show data context 312 Show data context 662 Show data context 446 Show data context 221 Show data context 95 Show data context 46 Show data context
Transport 16 Show data context 24 Show data context 165 Show data context 87 Show data context 39 Show data context 29 Show data context 24 Show data context 47 Show data context 284 Show data context 567 Show data context 383 Show data context 221 Show data context 124 Show data context 26 Show data context
Agriculture 0 Show data context 0 Show data context 4 Show data context 3 Show data context 5 Show data context 8 Show data context 1 Show data context 6 Show data context 24 Show data context 46 Show data context 37 Show data context 63 Show data context 65 Show data context 63 Show data context
Mines & Quarries
Metals, Machines 0 Show data context 0 Show data context 1 Show data context 2 Show data context 6 Show data context 6 Show data context 9 Show data context 5 Show data context 48 Show data context 92 Show data context 91 Show data context 41 Show data context 23 Show data context 9 Show data context
Jewelry, Instruments 0 Show data context 1 Show data context 329 Show data context 455 Show data context 513 Show data context 530 Show data context 590 Show data context 589 Show data context 3,455 Show data context 6,417 Show data context 3,948 Show data context 1,813 Show data context 694 Show data context 140 Show data context
Building 0 Show data context 0 Show data context 3 Show data context 5 Show data context 2 Show data context 1 Show data context 4 Show data context 5 Show data context 43 Show data context 103 Show data context 181 Show data context 278 Show data context 282 Show data context 218 Show data context
Wood, Furniture 0 Show data context 0 Show data context 17 Show data context 22 Show data context 36 Show data context 47 Show data context 41 Show data context 42 Show data context 290 Show data context 930 Show data context 627 Show data context 507 Show data context 256 Show data context 94 Show data context
Brick, Cement 0 Show data context 0 Show data context 5 Show data context 1 Show data context 6 Show data context 6 Show data context 9 Show data context 8 Show data context 43 Show data context 120 Show data context 100 Show data context 52 Show data context 36 Show data context 12 Show data context
Chemicals 0 Show data context 0 Show data context 2 Show data context 3 Show data context 2 Show data context 3 Show data context 1 Show data context 4 Show data context 13 Show data context 40 Show data context 23 Show data context 18 Show data context 5 Show data context 1 Show data context
Skins, Leather 0 Show data context 0 Show data context 4 Show data context 4 Show data context 5 Show data context 4 Show data context 3 Show data context 3 Show data context 18 Show data context 67 Show data context 52 Show data context 30 Show data context 16 Show data context 10 Show data context
Paper, Prints 0 Show data context 0 Show data context 0 Show data context 0 Show data context 3 Show data context 0 Show data context 1 Show data context 0 Show data context 4 Show data context 16 Show data context 14 Show data context 17 Show data context 5 Show data context 3 Show data context
Textile Fabrics 1 Show data context 0 Show data context 11 Show data context 21 Show data context 29 Show data context 27 Show data context 20 Show data context 25 Show data context 112 Show data context 202 Show data context 139 Show data context 85 Show data context 32 Show data context 11 Show data context
Dress 0 Show data context 1 Show data context 9 Show data context 13 Show data context 14 Show data context 16 Show data context 20 Show data context 36 Show data context 199 Show data context 354 Show data context 219 Show data context 188 Show data context 133 Show data context 132 Show data context
Food, Drink 0 Show data context 4 Show data context 12 Show data context 9 Show data context 10 Show data context 19 Show data context 30 Show data context 19 Show data context 101 Show data context 190 Show data context 165 Show data context 123 Show data context 81 Show data context 38 Show data context
Gas, Water 0 Show data context 2 Show data context 33 Show data context 47 Show data context 49 Show data context 58 Show data context 68 Show data context 57 Show data context 290 Show data context 518 Show data context 451 Show data context 264 Show data context 147 Show data context 74 Show data context
Other & Undefined 0 Show data context 0 Show data context 0 Show data context 0 Show data context 2 Show data context 1 Show data context 2 Show data context 2 Show data context 20 Show data context 80 Show data context 80 Show data context 53 Show data context 26 Show data context 13 Show data context
Unoccupied 32 Show data context 11 Show data context 14 Show data context 19 Show data context 22 Show data context 23 Show data context 25 Show data context 14 Show data context 129 Show data context 279 Show data context 277 Show data context 211 Show data context 128 Show data context 58 Show data context
Sex = Female 1911 Occupation Tables Age Groups
1911 Occupational Classification 10-12 13 14 15 16 17 18 19 20-24 25-34 35-44 45-54 55-64 65 up
Government 0 Show data context 0 Show data context 0 Show data context 0 Show data context 0 Show data context 2 Show data context 1 Show data context 3 Show data context 13 Show data context 29 Show data context 14 Show data context 10 Show data context 0 Show data context 0 Show data context
Defence
Professional Occupations 0 Show data context 0 Show data context 3 Show data context 3 Show data context 1 Show data context 3 Show data context 16 Show data context 21 Show data context 188 Show data context 237 Show data context 127 Show data context 73 Show data context 51 Show data context 9 Show data context
Domestic Services 0 Show data context 5 Show data context 51 Show data context 79 Show data context 93 Show data context 119 Show data context 132 Show data context 139 Show data context 551 Show data context 537 Show data context 329 Show data context 276 Show data context 173 Show data context 62 Show data context
Commercial Occupations 0 Show data context 0 Show data context 43 Show data context 75 Show data context 80 Show data context 82 Show data context 93 Show data context 81 Show data context 277 Show data context 189 Show data context 36 Show data context 6 Show data context 6 Show data context 0 Show data context
Transport 1 Show data context 0 Show data context 14 Show data context 5 Show data context 10 Show data context 6 Show data context 4 Show data context 5 Show data context 11 Show data context 7 Show data context 4 Show data context 2 Show data context 0 Show data context 0 Show data context
Agriculture 0 Show data context 0 Show data context 0 Show data context 0 Show data context 0 Show data context 1 Show data context 0 Show data context 2 Show data context 2 Show data context 2 Show data context 0 Show data context 2 Show data context 1 Show data context 0 Show data context
Mines & Quarries
Metals, Machines 0 Show data context 0 Show data context 0 Show data context 0 Show data context 0 Show data context 0 Show data context 0 Show data context 0 Show data context 1 Show data context 1 Show data context 1 Show data context 1 Show data context 1 Show data context 0 Show data context
Jewelry, Instruments 0 Show data context 0 Show data context 83 Show data context 100 Show data context 126 Show data context 117 Show data context 151 Show data context 151 Show data context 484 Show data context 229 Show data context 47 Show data context 13 Show data context 7 Show data context 1 Show data context
Building 0 Show data context 0 Show data context 46 Show data context 26 Show data context 31 Show data context 30 Show data context 45 Show data context 35 Show data context 127 Show data context 80 Show data context 21 Show data context 8 Show data context 3 Show data context 0 Show data context
Wood, Furniture
Brick, Cement 0 Show data context 0 Show data context 2 Show data context 3 Show data context 0 Show data context 1 Show data context 2 Show data context 7 Show data context 8 Show data context 13 Show data context 11 Show data context 7 Show data context 6 Show data context 2 Show data context
Chemicals 0 Show data context 0 Show data context 0 Show data context 0 Show data context 0 Show data context 0 Show data context 0 Show data context 0 Show data context 0 Show data context 2 Show data context 2 Show data context 1 Show data context 1 Show data context 0 Show data context
Skins, Leather 0 Show data context 0 Show data context 8 Show data context 9 Show data context 11 Show data context 8 Show data context 9 Show data context 12 Show data context 35 Show data context 35 Show data context 7 Show data context 5 Show data context 0 Show data context 1 Show data context
Paper, Prints 0 Show data context 0 Show data context 9 Show data context 5 Show data context 2 Show data context 3 Show data context 6 Show data context 2 Show data context 4 Show data context 3 Show data context 1 Show data context 1 Show data context 0 Show data context 0 Show data context
Textile Fabrics 0 Show data context 0 Show data context 44 Show data context 39 Show data context 63 Show data context 47 Show data context 47 Show data context 44 Show data context 132 Show data context 72 Show data context 21 Show data context 21 Show data context 8 Show data context 1 Show data context
Dress 0 Show data context 3 Show data context 236 Show data context 252 Show data context 278 Show data context 256 Show data context 201 Show data context 212 Show data context 549 Show data context 451 Show data context 234 Show data context 179 Show data context 119 Show data context 95 Show data context
Food, Drink 0 Show data context 1 Show data context 65 Show data context 100 Show data context 80 Show data context 72 Show data context 85 Show data context 73 Show data context 278 Show data context 254 Show data context 151 Show data context 95 Show data context 55 Show data context 25 Show data context
Gas, Water 0 Show data context 1 Show data context 16 Show data context 15 Show data context 20 Show data context 26 Show data context 20 Show data context 22 Show data context 150 Show data context 304 Show data context 267 Show data context 213 Show data context 133 Show data context 62 Show data context
Other & Undefined
Unoccupied 0 Show data context 0 Show data context 9 Show data context 10 Show data context 6 Show data context 8 Show data context 7 Show data context 10 Show data context 42 Show data context 53 Show data context 49 Show data context 37 Show data context 16 Show data context 19 Show data context
nCube definition Click on the triangles for all about a particular number
Date: Source:
1911 1911 Census of England and Wales, Occupations Vol 2, Table 13 , 'Occupations (Condensed List) of Males and Females at ages 10 years and upwards; in England and Wales, the aggregates of Urban and Rural Districts respectively in England and Wales, Administrative Counties, County Boroughs, Metropolitan Boroughs, Urban Districts of which the population exceeded 50,000 persons, and the aggregates of Rural Districts in Administrative Counties, 1911'

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nCube definition


All males and females at ages 10 years and upwards, categorised by gender, by 14 age groups, and by 23 occupational 'Orders'. This is the information provided by the 1911 Census's Occupation Tables. The occupational categories include Order 23, 'Without Specified Occupations or Unoccupied'.


How to reference this page:

GB Historical GIS / University of Portsmouth, Coventry MB/CB through time | Industry Statistics | Persons Aged over 10 by Sex, Age & 1911 Occupational Order, A Vision of Britain through Time.

URL: https://www.visionofbritain.org.uk/unit/10054552/cube/OCC_ORD1911_AGESEX

Date accessed: 19th October 2024