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 40 Show data context 42 Show data context 18 Show data context 13 Show data context 12 Show data context 11 Show data context 106 Show data context 343 Show data context 278 Show data context 171 Show data context 60 Show data context 18 Show data context
Defence 0 Show data context 0 Show data context 4 Show data context 3 Show data context 2 Show data context 7 Show data context 54 Show data context 74 Show data context 200 Show data context 164 Show data context 65 Show data context 25 Show data context 31 Show data context 60 Show data context
Professional Occupations 2 Show data context 0 Show data context 17 Show data context 31 Show data context 30 Show data context 49 Show data context 50 Show data context 33 Show data context 248 Show data context 549 Show data context 558 Show data context 448 Show data context 249 Show data context 153 Show data context
Domestic Services 2 Show data context 0 Show data context 20 Show data context 44 Show data context 42 Show data context 38 Show data context 52 Show data context 62 Show data context 251 Show data context 442 Show data context 292 Show data context 243 Show data context 160 Show data context 74 Show data context
Commercial Occupations 0 Show data context 2 Show data context 24 Show data context 48 Show data context 74 Show data context 52 Show data context 84 Show data context 86 Show data context 331 Show data context 627 Show data context 546 Show data context 382 Show data context 220 Show data context 91 Show data context
Transport 16 Show data context 28 Show data context 241 Show data context 279 Show data context 250 Show data context 173 Show data context 149 Show data context 127 Show data context 632 Show data context 1,383 Show data context 1,065 Show data context 843 Show data context 443 Show data context 143 Show data context
Agriculture 0 Show data context 0 Show data context 7 Show data context 11 Show data context 9 Show data context 16 Show data context 12 Show data context 13 Show data context 58 Show data context 114 Show data context 110 Show data context 156 Show data context 105 Show data context 74 Show data context
Mines & Quarries
Metals, Machines 0 Show data context 0 Show data context 2 Show data context 3 Show data context 1 Show data context 0 Show data context 1 Show data context 0 Show data context 11 Show data context 22 Show data context 25 Show data context 30 Show data context 19 Show data context 12 Show data context
Jewelry, Instruments 0 Show data context 0 Show data context 56 Show data context 97 Show data context 109 Show data context 116 Show data context 127 Show data context 120 Show data context 490 Show data context 1,028 Show data context 679 Show data context 444 Show data context 277 Show data context 83 Show data context
Building 0 Show data context 0 Show data context 6 Show data context 10 Show data context 12 Show data context 14 Show data context 15 Show data context 14 Show data context 62 Show data context 118 Show data context 107 Show data context 78 Show data context 48 Show data context 23 Show data context
Wood, Furniture 0 Show data context 1 Show data context 19 Show data context 39 Show data context 53 Show data context 62 Show data context 66 Show data context 63 Show data context 385 Show data context 1,077 Show data context 1,026 Show data context 986 Show data context 662 Show data context 250 Show data context
Brick, Cement 0 Show data context 0 Show data context 12 Show data context 20 Show data context 29 Show data context 27 Show data context 24 Show data context 19 Show data context 123 Show data context 251 Show data context 219 Show data context 200 Show data context 128 Show data context 54 Show data context
Chemicals 0 Show data context 0 Show data context 2 Show data context 1 Show data context 0 Show data context 4 Show data context 2 Show data context 1 Show data context 7 Show data context 16 Show data context 11 Show data context 6 Show data context 11 Show data context 3 Show data context
Skins, Leather 0 Show data context 0 Show data context 3 Show data context 6 Show data context 10 Show data context 12 Show data context 10 Show data context 11 Show data context 53 Show data context 97 Show data context 59 Show data context 47 Show data context 24 Show data context 15 Show data context
Paper, Prints 0 Show data context 0 Show data context 2 Show data context 1 Show data context 2 Show data context 1 Show data context 4 Show data context 4 Show data context 13 Show data context 22 Show data context 22 Show data context 33 Show data context 21 Show data context 4 Show data context
Textile Fabrics 0 Show data context 1 Show data context 20 Show data context 17 Show data context 29 Show data context 22 Show data context 32 Show data context 28 Show data context 103 Show data context 176 Show data context 187 Show data context 107 Show data context 76 Show data context 44 Show data context
Dress 0 Show data context 0 Show data context 3 Show data context 6 Show data context 16 Show data context 12 Show data context 19 Show data context 12 Show data context 81 Show data context 89 Show data context 74 Show data context 55 Show data context 23 Show data context 20 Show data context
Food, Drink 0 Show data context 1 Show data context 21 Show data context 46 Show data context 35 Show data context 39 Show data context 36 Show data context 39 Show data context 178 Show data context 374 Show data context 331 Show data context 239 Show data context 172 Show data context 105 Show data context
Gas, Water 0 Show data context 1 Show data context 65 Show data context 108 Show data context 155 Show data context 161 Show data context 174 Show data context 200 Show data context 831 Show data context 1,421 Show data context 1,280 Show data context 927 Show data context 496 Show data context 227 Show data context
Other & Undefined 0 Show data context 0 Show data context 0 Show data context 1 Show data context 1 Show data context 3 Show data context 3 Show data context 4 Show data context 33 Show data context 90 Show data context 107 Show data context 70 Show data context 37 Show data context 16 Show data context
Unoccupied 27 Show data context 31 Show data context 24 Show data context 29 Show data context 51 Show data context 43 Show data context 30 Show data context 45 Show data context 219 Show data context 521 Show data context 503 Show data context 446 Show data context 264 Show data context 156 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 8 Show data context 6 Show data context 58 Show data context 72 Show data context 27 Show data context 15 Show data context 2 Show data context 1 Show data context
Defence
Professional Occupations 0 Show data context 1 Show data context 17 Show data context 14 Show data context 13 Show data context 20 Show data context 47 Show data context 38 Show data context 330 Show data context 648 Show data context 456 Show data context 294 Show data context 156 Show data context 88 Show data context
Domestic Services 0 Show data context 8 Show data context 175 Show data context 360 Show data context 444 Show data context 491 Show data context 574 Show data context 562 Show data context 2,337 Show data context 2,540 Show data context 1,682 Show data context 1,292 Show data context 824 Show data context 336 Show data context
Commercial Occupations 0 Show data context 0 Show data context 8 Show data context 15 Show data context 38 Show data context 43 Show data context 47 Show data context 46 Show data context 208 Show data context 203 Show data context 63 Show data context 20 Show data context 7 Show data context 2 Show data context
Transport 0 Show data context 1 Show data context 2 Show data context 0 Show data context 0 Show data context 3 Show data context 4 Show data context 5 Show data context 29 Show data context 19 Show data context 2 Show data context 4 Show data context 4 Show data context 2 Show data context
Agriculture 0 Show data context 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 3 Show data context 1 Show data context 0 Show data context 0 Show data context 2 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 1 Show data context 0 Show data context 0 Show data context 1 Show data context 5 Show data context 5 Show data context 3 Show data context 1 Show data context 0 Show data context
Jewelry, Instruments 0 Show data context 0 Show data context 1 Show data context 0 Show data context 0 Show data context 1 Show data context 0 Show data context 1 Show data context 5 Show data context 6 Show data context 8 Show data context 3 Show data context 3 Show data context 2 Show data context
Building 0 Show data context 0 Show data context 4 Show data context 2 Show data context 5 Show data context 6 Show data context 5 Show data context 4 Show data context 16 Show data context 32 Show data context 15 Show data context 2 Show data context 5 Show data context 2 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 0 Show data context 0 Show data context 2 Show data context 1 Show data context
Brick, Cement 0 Show data context 0 Show data context 0 Show data context 4 Show data context 5 Show data context 4 Show data context 1 Show data context 3 Show data context 13 Show data context 19 Show data context 22 Show data context 15 Show data context 19 Show data context 10 Show data context
Chemicals 0 Show data context 0 Show data context 0 Show data context 1 Show data context 2 Show data context 1 Show data context 1 Show data context 0 Show data context 7 Show data context 8 Show data context 4 Show data context 0 Show data context 1 Show data context 1 Show data context
Skins, Leather 0 Show data context 0 Show data context 5 Show data context 6 Show data context 7 Show data context 3 Show data context 5 Show data context 7 Show data context 16 Show data context 14 Show data context 5 Show data context 3 Show data context 2 Show data context 0 Show data context
Paper, Prints 0 Show data context 0 Show data context 1 Show data context 0 Show data context 0 Show data context 1 Show data context 2 Show data context 0 Show data context 12 Show data context 5 Show data context 5 Show data context 7 Show data context 8 Show data context 3 Show data context
Textile Fabrics 0 Show data context 0 Show data context 8 Show data context 12 Show data context 19 Show data context 16 Show data context 8 Show data context 16 Show data context 61 Show data context 69 Show data context 43 Show data context 15 Show data context 12 Show data context 9 Show data context
Dress 0 Show data context 0 Show data context 12 Show data context 20 Show data context 34 Show data context 26 Show data context 37 Show data context 42 Show data context 173 Show data context 176 Show data context 71 Show data context 29 Show data context 17 Show data context 13 Show data context
Food, Drink 0 Show data context 3 Show data context 70 Show data context 126 Show data context 126 Show data context 135 Show data context 143 Show data context 146 Show data context 661 Show data context 670 Show data context 451 Show data context 328 Show data context 215 Show data context 144 Show data context
Gas, Water 0 Show data context 1 Show data context 17 Show data context 39 Show data context 54 Show data context 66 Show data context 71 Show data context 74 Show data context 360 Show data context 601 Show data context 630 Show data context 650 Show data context 410 Show data context 209 Show data context
Other & Undefined
Unoccupied 0 Show data context 1 Show data context 3 Show data context 14 Show data context 21 Show data context 16 Show data context 23 Show data context 17 Show data context 69 Show data context 95 Show data context 71 Show data context 64 Show data context 44 Show data context 23 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, Brighton 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/10107489/cube/OCC_ORD1911_AGESEX

Date accessed: 28th April 2024