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 1 Show data context 5 Show data context 10 Show data context 8 Show data context 5 Show data context 6 Show data context 4 Show data context 40 Show data context 99 Show data context 69 Show data context 41 Show data context 13 Show data context 2 Show data context
Defence 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 1 Show data context 2 Show data context 5 Show data context 8 Show data context 3 Show data context 0 Show data context 0 Show data context
Professional Occupations 0 Show data context 2 Show data context 3 Show data context 3 Show data context 7 Show data context 12 Show data context 19 Show data context 8 Show data context 83 Show data context 148 Show data context 114 Show data context 81 Show data context 39 Show data context 20 Show data context
Domestic Services 0 Show data context 0 Show data context 2 Show data context 3 Show data context 1 Show data context 3 Show data context 3 Show data context 2 Show data context 48 Show data context 53 Show data context 47 Show data context 35 Show data context 24 Show data context 6 Show data context
Commercial Occupations 0 Show data context 2 Show data context 21 Show data context 54 Show data context 41 Show data context 52 Show data context 44 Show data context 41 Show data context 186 Show data context 306 Show data context 237 Show data context 146 Show data context 72 Show data context 36 Show data context
Transport 13 Show data context 69 Show data context 156 Show data context 91 Show data context 52 Show data context 38 Show data context 52 Show data context 49 Show data context 271 Show data context 503 Show data context 386 Show data context 288 Show data context 142 Show data context 37 Show data context
Agriculture 0 Show data context 1 Show data context 2 Show data context 7 Show data context 6 Show data context 5 Show data context 7 Show data context 9 Show data context 29 Show data context 47 Show data context 48 Show data context 40 Show data context 36 Show data context 24 Show data context
Mines & Quarries
Metals, Machines 0 Show data context 32 Show data context 125 Show data context 173 Show data context 223 Show data context 261 Show data context 331 Show data context 283 Show data context 1,531 Show data context 2,627 Show data context 1,951 Show data context 1,252 Show data context 583 Show data context 150 Show data context
Jewelry, Instruments 0 Show data context 3 Show data context 32 Show data context 50 Show data context 71 Show data context 76 Show data context 87 Show data context 52 Show data context 349 Show data context 609 Show data context 418 Show data context 329 Show data context 194 Show data context 74 Show data context
Building 0 Show data context 1 Show data context 0 Show data context 0 Show data context 1 Show data context 3 Show data context 0 Show data context 0 Show data context 3 Show data context 12 Show data context 11 Show data context 4 Show data context 6 Show data context 7 Show data context
Wood, Furniture 0 Show data context 1 Show data context 27 Show data context 32 Show data context 41 Show data context 48 Show data context 54 Show data context 53 Show data context 278 Show data context 503 Show data context 306 Show data context 288 Show data context 190 Show data context 55 Show data context
Brick, Cement 1 Show data context 13 Show data context 32 Show data context 31 Show data context 28 Show data context 36 Show data context 27 Show data context 21 Show data context 81 Show data context 132 Show data context 82 Show data context 66 Show data context 25 Show data context 7 Show data context
Chemicals 11 Show data context 83 Show data context 327 Show data context 399 Show data context 419 Show data context 347 Show data context 279 Show data context 274 Show data context 1,117 Show data context 1,777 Show data context 1,450 Show data context 806 Show data context 338 Show data context 91 Show data context
Skins, Leather 0 Show data context 5 Show data context 39 Show data context 24 Show data context 20 Show data context 20 Show data context 26 Show data context 31 Show data context 141 Show data context 335 Show data context 339 Show data context 244 Show data context 146 Show data context 52 Show data context
Paper, Prints 0 Show data context 0 Show data context 0 Show data context 0 Show data context 0 Show data context 6 Show data context 0 Show data context 0 Show data context 3 Show data context 5 Show data context 7 Show data context 1 Show data context 3 Show data context 3 Show data context
Textile Fabrics 0 Show data context 1 Show data context 4 Show data context 4 Show data context 3 Show data context 2 Show data context 8 Show data context 6 Show data context 19 Show data context 33 Show data context 16 Show data context 17 Show data context 6 Show data context 4 Show data context
Dress 0 Show data context 2 Show data context 3 Show data context 3 Show data context 4 Show data context 2 Show data context 4 Show data context 1 Show data context 14 Show data context 21 Show data context 15 Show data context 15 Show data context 8 Show data context 5 Show data context
Food, Drink 5 Show data context 3 Show data context 6 Show data context 12 Show data context 13 Show data context 14 Show data context 12 Show data context 10 Show data context 70 Show data context 110 Show data context 90 Show data context 53 Show data context 29 Show data context 25 Show data context
Gas, Water 0 Show data context 5 Show data context 21 Show data context 33 Show data context 45 Show data context 39 Show data context 49 Show data context 45 Show data context 199 Show data context 365 Show data context 307 Show data context 191 Show data context 95 Show data context 41 Show data context
Other & Undefined 0 Show data context 0 Show data context 2 Show data context 0 Show data context 1 Show data context 1 Show data context 4 Show data context 2 Show data context 26 Show data context 71 Show data context 82 Show data context 45 Show data context 26 Show data context 13 Show data context
Unoccupied 5 Show data context 9 Show data context 21 Show data context 28 Show data context 25 Show data context 35 Show data context 44 Show data context 34 Show data context 179 Show data context 364 Show data context 309 Show data context 253 Show data context 167 Show data context 83 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 1 Show data context 2 Show data context 0 Show data context 1 Show data context 9 Show data context 8 Show data context 5 Show data context 3 Show data context 4 Show data context 0 Show data context
Defence
Professional Occupations 0 Show data context 0 Show data context 1 Show data context 0 Show data context 1 Show data context 5 Show data context 15 Show data context 20 Show data context 191 Show data context 243 Show data context 123 Show data context 74 Show data context 24 Show data context 13 Show data context
Domestic Services 2 Show data context 14 Show data context 86 Show data context 153 Show data context 135 Show data context 159 Show data context 188 Show data context 178 Show data context 521 Show data context 360 Show data context 157 Show data context 127 Show data context 83 Show data context 27 Show data context
Commercial Occupations 0 Show data context 0 Show data context 2 Show data context 2 Show data context 11 Show data context 9 Show data context 11 Show data context 10 Show data context 33 Show data context 33 Show data context 13 Show data context 5 Show data context 2 Show data context 1 Show data context
Transport 0 Show data context 2 Show data context 6 Show data context 5 Show data context 2 Show data context 1 Show data context 6 Show data context 3 Show data context 8 Show data context 4 Show data context 3 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 2 Show data context 1 Show data context 1 Show data context 0 Show data context 3 Show data context 6 Show data context 2 Show data context 2 Show data context 4 Show data context 2 Show data context
Mines & Quarries
Metals, Machines 0 Show data context 0 Show data context 2 Show data context 12 Show data context 25 Show data context 28 Show data context 19 Show data context 19 Show data context 46 Show data context 19 Show data context 7 Show data context 1 Show data context 0 Show data context 0 Show data context
Jewelry, Instruments 0 Show data context 0 Show data context 0 Show data context 1 Show data context 2 Show data context 5 Show data context 6 Show data context 8 Show data context 19 Show data context 12 Show data context 3 Show data context 1 Show data context 4 Show data context 1 Show data context
Building 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 0 Show data context 2 Show data context 3 Show data context 2 Show data context 3 Show data context 0 Show data context 1 Show data context
Wood, Furniture 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 0 Show data context 1 Show data context 1 Show data context 1 Show data context 0 Show data context
Brick, Cement 0 Show data context 1 Show data context 1 Show data context 4 Show data context 0 Show data context 6 Show data context 1 Show data context 2 Show data context 3 Show data context 4 Show data context 3 Show data context 2 Show data context 2 Show data context 0 Show data context
Chemicals 1 Show data context 1 Show data context 32 Show data context 58 Show data context 80 Show data context 94 Show data context 110 Show data context 109 Show data context 239 Show data context 83 Show data context 27 Show data context 21 Show data context 12 Show data context 3 Show data context
Skins, Leather 0 Show data context 0 Show data context 0 Show data context 6 Show data context 3 Show data context 14 Show data context 17 Show data context 18 Show data context 22 Show data context 17 Show data context 5 Show data context 0 Show data context 0 Show data context 0 Show data context
Paper, Prints 0 Show data context 0 Show data context 0 Show data context 1 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 1 Show data context 0 Show data context 0 Show data context 0 Show data context
Textile Fabrics 0 Show data context 0 Show data context 4 Show data context 7 Show data context 6 Show data context 5 Show data context 10 Show data context 7 Show data context 25 Show data context 19 Show data context 14 Show data context 10 Show data context 2 Show data context 0 Show data context
Dress 0 Show data context 1 Show data context 9 Show data context 10 Show data context 16 Show data context 24 Show data context 19 Show data context 23 Show data context 69 Show data context 50 Show data context 17 Show data context 10 Show data context 9 Show data context 0 Show data context
Food, Drink 0 Show data context 1 Show data context 29 Show data context 64 Show data context 89 Show data context 48 Show data context 65 Show data context 58 Show data context 206 Show data context 159 Show data context 94 Show data context 54 Show data context 19 Show data context 7 Show data context
Gas, Water 0 Show data context 0 Show data context 17 Show data context 25 Show data context 44 Show data context 47 Show data context 46 Show data context 45 Show data context 179 Show data context 170 Show data context 143 Show data context 144 Show data context 82 Show data context 44 Show data context
Other & Undefined
Unoccupied 1 Show data context 0 Show data context 4 Show data context 5 Show data context 12 Show data context 12 Show data context 7 Show data context 11 Show data context 47 Show data context 31 Show data context 32 Show data context 21 Show data context 18 Show data context 8 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, St Helens CB/MB 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/10027329/cube/OCC_ORD1911_AGESEX

Date accessed: 29th May 2024