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 42 Show data context 71 Show data context 36 Show data context 33 Show data context 28 Show data context 27 Show data context 28 Show data context 249 Show data context 961 Show data context 717 Show data context 337 Show data context 135 Show data context 50 Show data context
Defence 0 Show data context 0 Show data context 0 Show data context 1 Show data context 0 Show data context 6 Show data context 13 Show data context 28 Show data context 124 Show data context 157 Show data context 58 Show data context 9 Show data context 2 Show data context 0 Show data context
Professional Occupations 1 Show data context 27 Show data context 31 Show data context 58 Show data context 61 Show data context 54 Show data context 92 Show data context 77 Show data context 450 Show data context 1,131 Show data context 1,006 Show data context 720 Show data context 375 Show data context 148 Show data context
Domestic Services 0 Show data context 13 Show data context 17 Show data context 24 Show data context 34 Show data context 34 Show data context 36 Show data context 36 Show data context 235 Show data context 486 Show data context 448 Show data context 352 Show data context 254 Show data context 122 Show data context
Commercial Occupations 0 Show data context 30 Show data context 111 Show data context 223 Show data context 292 Show data context 320 Show data context 331 Show data context 324 Show data context 1,417 Show data context 2,540 Show data context 1,933 Show data context 1,274 Show data context 664 Show data context 270 Show data context
Transport 54 Show data context 1,115 Show data context 1,063 Show data context 644 Show data context 411 Show data context 292 Show data context 241 Show data context 235 Show data context 1,529 Show data context 3,944 Show data context 3,277 Show data context 2,084 Show data context 1,155 Show data context 296 Show data context
Agriculture 0 Show data context 24 Show data context 31 Show data context 39 Show data context 43 Show data context 49 Show data context 40 Show data context 28 Show data context 189 Show data context 303 Show data context 309 Show data context 300 Show data context 270 Show data context 151 Show data context
Mines & Quarries
Metals, Machines 0 Show data context 52 Show data context 105 Show data context 132 Show data context 146 Show data context 166 Show data context 156 Show data context 154 Show data context 623 Show data context 1,078 Show data context 887 Show data context 766 Show data context 459 Show data context 148 Show data context
Jewelry, Instruments 1 Show data context 349 Show data context 600 Show data context 741 Show data context 906 Show data context 960 Show data context 1,059 Show data context 997 Show data context 4,231 Show data context 7,674 Show data context 6,253 Show data context 4,309 Show data context 2,507 Show data context 837 Show data context
Building 0 Show data context 6 Show data context 28 Show data context 32 Show data context 42 Show data context 36 Show data context 38 Show data context 31 Show data context 167 Show data context 288 Show data context 276 Show data context 168 Show data context 98 Show data context 55 Show data context
Wood, Furniture 0 Show data context 36 Show data context 72 Show data context 113 Show data context 145 Show data context 125 Show data context 138 Show data context 123 Show data context 947 Show data context 2,591 Show data context 2,243 Show data context 1,958 Show data context 1,259 Show data context 431 Show data context
Brick, Cement 0 Show data context 63 Show data context 98 Show data context 106 Show data context 104 Show data context 115 Show data context 94 Show data context 75 Show data context 438 Show data context 942 Show data context 769 Show data context 562 Show data context 379 Show data context 177 Show data context
Chemicals 0 Show data context 68 Show data context 114 Show data context 118 Show data context 119 Show data context 103 Show data context 91 Show data context 91 Show data context 423 Show data context 745 Show data context 598 Show data context 382 Show data context 209 Show data context 70 Show data context
Skins, Leather 0 Show data context 18 Show data context 22 Show data context 28 Show data context 44 Show data context 51 Show data context 51 Show data context 41 Show data context 220 Show data context 444 Show data context 383 Show data context 298 Show data context 151 Show data context 60 Show data context
Paper, Prints 1 Show data context 27 Show data context 53 Show data context 61 Show data context 91 Show data context 91 Show data context 80 Show data context 91 Show data context 429 Show data context 731 Show data context 687 Show data context 542 Show data context 353 Show data context 150 Show data context
Textile Fabrics 0 Show data context 111 Show data context 173 Show data context 176 Show data context 166 Show data context 180 Show data context 148 Show data context 151 Show data context 736 Show data context 1,154 Show data context 904 Show data context 551 Show data context 253 Show data context 79 Show data context
Dress 0 Show data context 130 Show data context 239 Show data context 263 Show data context 313 Show data context 318 Show data context 308 Show data context 262 Show data context 1,094 Show data context 1,654 Show data context 1,671 Show data context 1,252 Show data context 872 Show data context 349 Show data context
Food, Drink 20 Show data context 208 Show data context 374 Show data context 404 Show data context 480 Show data context 486 Show data context 490 Show data context 436 Show data context 2,026 Show data context 3,189 Show data context 2,949 Show data context 1,935 Show data context 840 Show data context 325 Show data context
Gas, Water 0 Show data context 92 Show data context 161 Show data context 215 Show data context 269 Show data context 284 Show data context 278 Show data context 291 Show data context 1,284 Show data context 2,557 Show data context 2,439 Show data context 1,671 Show data context 980 Show data context 384 Show data context
Other & Undefined 0 Show data context 0 Show data context 6 Show data context 2 Show data context 1 Show data context 7 Show data context 7 Show data context 6 Show data context 80 Show data context 349 Show data context 573 Show data context 502 Show data context 358 Show data context 134 Show data context
Unoccupied 48 Show data context 51 Show data context 72 Show data context 95 Show data context 141 Show data context 157 Show data context 136 Show data context 148 Show data context 761 Show data context 1,714 Show data context 1,730 Show data context 1,270 Show data context 841 Show data context 392 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 1 Show data context 1 Show data context 3 Show data context 17 Show data context 13 Show data context 14 Show data context 88 Show data context 200 Show data context 94 Show data context 44 Show data context 13 Show data context 2 Show data context
Defence
Professional Occupations 0 Show data context 1 Show data context 7 Show data context 17 Show data context 22 Show data context 52 Show data context 90 Show data context 72 Show data context 761 Show data context 1,259 Show data context 633 Show data context 332 Show data context 210 Show data context 78 Show data context
Domestic Services 1 Show data context 138 Show data context 237 Show data context 349 Show data context 441 Show data context 546 Show data context 588 Show data context 611 Show data context 2,614 Show data context 2,854 Show data context 1,994 Show data context 1,559 Show data context 927 Show data context 300 Show data context
Commercial Occupations 1 Show data context 23 Show data context 57 Show data context 100 Show data context 137 Show data context 151 Show data context 172 Show data context 172 Show data context 677 Show data context 443 Show data context 94 Show data context 38 Show data context 14 Show data context 7 Show data context
Transport 2 Show data context 226 Show data context 173 Show data context 85 Show data context 43 Show data context 26 Show data context 20 Show data context 21 Show data context 66 Show data context 46 Show data context 20 Show data context 17 Show data context 10 Show data context 6 Show data context
Agriculture 0 Show data context 4 Show data context 1 Show data context 2 Show data context 0 Show data context 4 Show data context 1 Show data context 6 Show data context 9 Show data context 5 Show data context 9 Show data context 7 Show data context 9 Show data context 5 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 2 Show data context 5 Show data context 3 Show data context 2 Show data context 2 Show data context 8 Show data context 2 Show data context
Jewelry, Instruments 0 Show data context 78 Show data context 165 Show data context 170 Show data context 159 Show data context 171 Show data context 162 Show data context 119 Show data context 401 Show data context 175 Show data context 65 Show data context 42 Show data context 19 Show data context 7 Show data context
Building 0 Show data context 4 Show data context 9 Show data context 8 Show data context 8 Show data context 10 Show data context 10 Show data context 10 Show data context 38 Show data context 34 Show data context 18 Show data context 11 Show data context 4 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 1 Show data context 0 Show data context 2 Show data context 3 Show data context 2 Show data context 0 Show data context
Brick, Cement 1 Show data context 22 Show data context 36 Show data context 42 Show data context 36 Show data context 40 Show data context 38 Show data context 31 Show data context 104 Show data context 94 Show data context 52 Show data context 41 Show data context 28 Show data context 14 Show data context
Chemicals 0 Show data context 5 Show data context 2 Show data context 5 Show data context 5 Show data context 6 Show data context 4 Show data context 6 Show data context 26 Show data context 26 Show data context 10 Show data context 6 Show data context 10 Show data context 2 Show data context
Skins, Leather 0 Show data context 38 Show data context 50 Show data context 53 Show data context 59 Show data context 63 Show data context 49 Show data context 61 Show data context 173 Show data context 120 Show data context 44 Show data context 18 Show data context 4 Show data context 2 Show data context
Paper, Prints 0 Show data context 16 Show data context 18 Show data context 23 Show data context 24 Show data context 22 Show data context 36 Show data context 28 Show data context 99 Show data context 107 Show data context 42 Show data context 29 Show data context 11 Show data context 4 Show data context
Textile Fabrics 0 Show data context 284 Show data context 320 Show data context 310 Show data context 285 Show data context 262 Show data context 235 Show data context 217 Show data context 749 Show data context 467 Show data context 138 Show data context 50 Show data context 23 Show data context 9 Show data context
Dress 3 Show data context 359 Show data context 521 Show data context 618 Show data context 664 Show data context 684 Show data context 713 Show data context 640 Show data context 2,456 Show data context 2,451 Show data context 1,355 Show data context 738 Show data context 253 Show data context 77 Show data context
Food, Drink 5 Show data context 685 Show data context 1,156 Show data context 1,344 Show data context 1,520 Show data context 1,438 Show data context 1,502 Show data context 1,421 Show data context 6,272 Show data context 5,776 Show data context 2,640 Show data context 1,148 Show data context 490 Show data context 162 Show data context
Gas, Water 0 Show data context 55 Show data context 103 Show data context 140 Show data context 144 Show data context 161 Show data context 166 Show data context 161 Show data context 775 Show data context 1,251 Show data context 1,086 Show data context 929 Show data context 612 Show data context 256 Show data context
Other & Undefined
Unoccupied 0 Show data context 40 Show data context 54 Show data context 65 Show data context 56 Show data context 48 Show data context 57 Show data context 46 Show data context 209 Show data context 260 Show data context 214 Show data context 176 Show data context 109 Show data context 54 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, Leeds 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/10108809/cube/OCC_ORD1911_AGESEX

Date accessed: 30th April 2024