Persons Aged over 10 by Sex, Age and 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 19 Show data context 52 Show data context 56 Show data context 35 Show data context 23 Show data context 30 Show data context 41 Show data context 252 Show data context 883 Show data context 626 Show data context 409 Show data context 158 Show data context 86 Show data context
Defence 0 Show data context 0 Show data context 0 Show data context 0 Show data context 1 Show data context 5 Show data context 7 Show data context 9 Show data context 48 Show data context 65 Show data context 33 Show data context 18 Show data context 10 Show data context 7 Show data context
Professional Occupations 3 Show data context 27 Show data context 60 Show data context 53 Show data context 59 Show data context 91 Show data context 90 Show data context 92 Show data context 563 Show data context 1,251 Show data context 1,126 Show data context 839 Show data context 472 Show data context 204 Show data context
Domestic Services 2 Show data context 25 Show data context 77 Show data context 90 Show data context 105 Show data context 102 Show data context 107 Show data context 115 Show data context 598 Show data context 1,189 Show data context 919 Show data context 710 Show data context 471 Show data context 276 Show data context
Commercial Occupations 0 Show data context 18 Show data context 105 Show data context 168 Show data context 249 Show data context 301 Show data context 315 Show data context 278 Show data context 1,325 Show data context 2,466 Show data context 1,801 Show data context 1,097 Show data context 548 Show data context 241 Show data context
Transport 98 Show data context 679 Show data context 1,102 Show data context 711 Show data context 497 Show data context 352 Show data context 366 Show data context 336 Show data context 2,293 Show data context 5,187 Show data context 3,909 Show data context 2,436 Show data context 1,301 Show data context 329 Show data context
Agriculture 11 Show data context 232 Show data context 438 Show data context 523 Show data context 540 Show data context 505 Show data context 531 Show data context 465 Show data context 1,895 Show data context 2,929 Show data context 2,688 Show data context 2,595 Show data context 2,076 Show data context 1,678 Show data context
Mines and Quarries
Metals, Machines 2 Show data context 544 Show data context 1,095 Show data context 1,325 Show data context 1,391 Show data context 1,407 Show data context 1,406 Show data context 1,213 Show data context 5,831 Show data context 10,393 Show data context 7,856 Show data context 4,946 Show data context 2,669 Show data context 717 Show data context
Jewelry, Instruments 2 Show data context 65 Show data context 313 Show data context 443 Show data context 538 Show data context 645 Show data context 691 Show data context 672 Show data context 2,836 Show data context 5,165 Show data context 3,677 Show data context 2,439 Show data context 1,478 Show data context 569 Show data context
Building 0 Show data context 6 Show data context 10 Show data context 19 Show data context 29 Show data context 29 Show data context 26 Show data context 24 Show data context 158 Show data context 264 Show data context 208 Show data context 148 Show data context 79 Show data context 40 Show data context
Wood, Furniture 0 Show data context 12 Show data context 91 Show data context 144 Show data context 190 Show data context 217 Show data context 198 Show data context 216 Show data context 1,390 Show data context 3,723 Show data context 2,791 Show data context 2,444 Show data context 1,597 Show data context 682 Show data context
Brick, Cement 2 Show data context 19 Show data context 83 Show data context 103 Show data context 126 Show data context 103 Show data context 136 Show data context 120 Show data context 577 Show data context 1,291 Show data context 910 Show data context 638 Show data context 379 Show data context 170 Show data context
Chemicals 0 Show data context 48 Show data context 57 Show data context 41 Show data context 64 Show data context 61 Show data context 60 Show data context 49 Show data context 206 Show data context 395 Show data context 257 Show data context 155 Show data context 108 Show data context 39 Show data context
Skins, Leather 0 Show data context 8 Show data context 32 Show data context 46 Show data context 57 Show data context 50 Show data context 58 Show data context 49 Show data context 189 Show data context 407 Show data context 305 Show data context 179 Show data context 103 Show data context 52 Show data context
Paper, Prints 0 Show data context 6 Show data context 28 Show data context 28 Show data context 34 Show data context 25 Show data context 30 Show data context 37 Show data context 143 Show data context 325 Show data context 301 Show data context 196 Show data context 133 Show data context 71 Show data context
Textile Fabrics 0 Show data context 62 Show data context 182 Show data context 218 Show data context 181 Show data context 169 Show data context 132 Show data context 113 Show data context 510 Show data context 774 Show data context 656 Show data context 428 Show data context 229 Show data context 81 Show data context
Dress 0 Show data context 142 Show data context 348 Show data context 429 Show data context 464 Show data context 520 Show data context 530 Show data context 464 Show data context 2,112 Show data context 3,132 Show data context 2,931 Show data context 2,810 Show data context 1,700 Show data context 952 Show data context
Food, Drink 15 Show data context 35 Show data context 67 Show data context 93 Show data context 125 Show data context 130 Show data context 119 Show data context 109 Show data context 542 Show data context 1,152 Show data context 1,070 Show data context 731 Show data context 499 Show data context 379 Show data context
Gas, Water 1 Show data context 95 Show data context 253 Show data context 338 Show data context 450 Show data context 483 Show data context 483 Show data context 429 Show data context 1,978 Show data context 3,707 Show data context 2,876 Show data context 2,170 Show data context 1,272 Show data context 563 Show data context
Other and Undefined 0 Show data context 0 Show data context 3 Show data context 5 Show data context 6 Show data context 3 Show data context 6 Show data context 9 Show data context 84 Show data context 360 Show data context 464 Show data context 339 Show data context 211 Show data context 92 Show data context
Unoccupied 70 Show data context 53 Show data context 90 Show data context 98 Show data context 148 Show data context 165 Show data context 165 Show data context 163 Show data context 799 Show data context 1,989 Show data context 1,925 Show data context 1,538 Show data context 1,051 Show data context 544 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 1 Show data context 2 Show data context 6 Show data context 7 Show data context 17 Show data context 27 Show data context 17 Show data context 116 Show data context 195 Show data context 91 Show data context 64 Show data context 27 Show data context 14 Show data context
Defence
Professional Occupations 3 Show data context 5 Show data context 21 Show data context 23 Show data context 31 Show data context 89 Show data context 113 Show data context 141 Show data context 1,032 Show data context 1,550 Show data context 785 Show data context 503 Show data context 257 Show data context 92 Show data context
Domestic Services 9 Show data context 234 Show data context 634 Show data context 918 Show data context 1,098 Show data context 1,194 Show data context 1,304 Show data context 1,232 Show data context 4,761 Show data context 3,923 Show data context 2,102 Show data context 1,661 Show data context 995 Show data context 464 Show data context
Commercial Occupations 0 Show data context 4 Show data context 50 Show data context 100 Show data context 148 Show data context 168 Show data context 184 Show data context 150 Show data context 645 Show data context 457 Show data context 100 Show data context 29 Show data context 14 Show data context 6 Show data context
Transport 2 Show data context 224 Show data context 427 Show data context 206 Show data context 70 Show data context 32 Show data context 28 Show data context 9 Show data context 51 Show data context 36 Show data context 15 Show data context 14 Show data context 16 Show data context 7 Show data context
Agriculture 0 Show data context 11 Show data context 25 Show data context 30 Show data context 44 Show data context 44 Show data context 45 Show data context 45 Show data context 167 Show data context 179 Show data context 92 Show data context 82 Show data context 81 Show data context 105 Show data context
Mines and 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 1 Show data context 0 Show data context 14 Show data context 6 Show data context 10 Show data context 12 Show data context 10 Show data context
Jewelry, Instruments 0 Show data context 45 Show data context 106 Show data context 128 Show data context 141 Show data context 126 Show data context 152 Show data context 135 Show data context 361 Show data context 165 Show data context 56 Show data context 14 Show data context 21 Show data context 13 Show data context
Building 0 Show data context 2 Show data context 8 Show data context 13 Show data context 19 Show data context 15 Show data context 14 Show data context 16 Show data context 54 Show data context 47 Show data context 32 Show data context 10 Show data context 7 Show data context 3 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 2 Show data context 0 Show data context 1 Show data context 3 Show data context 6 Show data context
Brick, Cement 0 Show data context 10 Show data context 18 Show data context 24 Show data context 33 Show data context 49 Show data context 26 Show data context 28 Show data context 125 Show data context 108 Show data context 46 Show data context 35 Show data context 25 Show data context 12 Show data context
Chemicals 0 Show data context 0 Show data context 3 Show data context 8 Show data context 2 Show data context 3 Show data context 5 Show data context 2 Show data context 15 Show data context 16 Show data context 12 Show data context 7 Show data context 2 Show data context 3 Show data context
Skins, Leather 0 Show data context 5 Show data context 28 Show data context 36 Show data context 49 Show data context 34 Show data context 34 Show data context 32 Show data context 83 Show data context 56 Show data context 10 Show data context 9 Show data context 1 Show data context 2 Show data context
Paper, Prints 0 Show data context 4 Show data context 8 Show data context 13 Show data context 21 Show data context 19 Show data context 21 Show data context 17 Show data context 53 Show data context 38 Show data context 11 Show data context 5 Show data context 16 Show data context 5 Show data context
Textile Fabrics 0 Show data context 46 Show data context 124 Show data context 125 Show data context 151 Show data context 152 Show data context 118 Show data context 130 Show data context 473 Show data context 350 Show data context 180 Show data context 116 Show data context 56 Show data context 21 Show data context
Dress 1 Show data context 452 Show data context 1,223 Show data context 1,644 Show data context 1,784 Show data context 1,838 Show data context 1,797 Show data context 1,674 Show data context 5,976 Show data context 5,640 Show data context 3,423 Show data context 2,645 Show data context 1,612 Show data context 876 Show data context
Food, Drink 1 Show data context 157 Show data context 455 Show data context 663 Show data context 781 Show data context 764 Show data context 809 Show data context 727 Show data context 3,082 Show data context 2,944 Show data context 1,383 Show data context 810 Show data context 416 Show data context 199 Show data context
Gas, Water 0 Show data context 55 Show data context 163 Show data context 194 Show data context 209 Show data context 211 Show data context 222 Show data context 225 Show data context 1,014 Show data context 1,524 Show data context 1,223 Show data context 1,096 Show data context 716 Show data context 401 Show data context
Other and Undefined
Unoccupied 1 Show data context 9 Show data context 52 Show data context 51 Show data context 66 Show data context 48 Show data context 45 Show data context 43 Show data context 167 Show data context 212 Show data context 173 Show data context 153 Show data context 123 Show data context 81 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, Nottinghamshire AdmC through time | Industry Statistics | Persons Aged over 10 by Sex, Age and 1911 Occupational Order, A Vision of Britain through Time.

URL: http://www.visionofbritain.org.uk/unit/10025035/cube/OCC_ORD1911_AGESEX

Date accessed: 20th October 2019