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 7 Show data context 7 Show data context 7 Show data context 3 Show data context 5 Show data context 8 Show data context 6 Show data context 66 Show data context 141 Show data context 129 Show data context 64 Show data context 31 Show data context 12 Show data context
Defence 0 Show data context 0 Show data context 0 Show data context 0 Show data context 1 Show data context 6 Show data context 11 Show data context 7 Show data context 38 Show data context 44 Show data context 34 Show data context 2 Show data context 0 Show data context 3 Show data context
Professional Occupations 0 Show data context 7 Show data context 7 Show data context 10 Show data context 11 Show data context 14 Show data context 17 Show data context 12 Show data context 111 Show data context 278 Show data context 225 Show data context 164 Show data context 72 Show data context 32 Show data context
Domestic Services 1 Show data context 0 Show data context 5 Show data context 1 Show data context 3 Show data context 5 Show data context 5 Show data context 3 Show data context 29 Show data context 105 Show data context 112 Show data context 101 Show data context 56 Show data context 29 Show data context
Commercial Occupations 0 Show data context 3 Show data context 7 Show data context 22 Show data context 49 Show data context 52 Show data context 48 Show data context 50 Show data context 254 Show data context 422 Show data context 408 Show data context 264 Show data context 157 Show data context 47 Show data context
Transport 59 Show data context 124 Show data context 87 Show data context 73 Show data context 50 Show data context 40 Show data context 42 Show data context 40 Show data context 310 Show data context 778 Show data context 584 Show data context 420 Show data context 211 Show data context 37 Show data context
Agriculture 0 Show data context 2 Show data context 11 Show data context 5 Show data context 15 Show data context 10 Show data context 11 Show data context 6 Show data context 82 Show data context 156 Show data context 158 Show data context 156 Show data context 104 Show data context 55 Show data context
Mines & Quarries
Metals, Machines 0 Show data context 1 Show data context 0 Show data context 1 Show data context 0 Show data context 16 Show data context 7 Show data context 6 Show data context 54 Show data context 205 Show data context 234 Show data context 175 Show data context 128 Show data context 30 Show data context
Jewelry, Instruments 0 Show data context 2 Show data context 55 Show data context 127 Show data context 148 Show data context 217 Show data context 221 Show data context 237 Show data context 1,033 Show data context 1,678 Show data context 1,537 Show data context 998 Show data context 510 Show data context 139 Show data context
Building 0 Show data context 0 Show data context 5 Show data context 4 Show data context 2 Show data context 10 Show data context 8 Show data context 3 Show data context 14 Show data context 66 Show data context 65 Show data context 36 Show data context 26 Show data context 6 Show data context
Wood, Furniture 0 Show data context 0 Show data context 15 Show data context 22 Show data context 24 Show data context 22 Show data context 20 Show data context 28 Show data context 205 Show data context 576 Show data context 491 Show data context 437 Show data context 307 Show data context 84 Show data context
Brick, Cement 0 Show data context 0 Show data context 8 Show data context 13 Show data context 18 Show data context 21 Show data context 23 Show data context 25 Show data context 122 Show data context 269 Show data context 198 Show data context 156 Show data context 89 Show data context 25 Show data context
Chemicals 2 Show data context 1 Show data context 4 Show data context 7 Show data context 12 Show data context 21 Show data context 19 Show data context 18 Show data context 64 Show data context 173 Show data context 108 Show data context 72 Show data context 32 Show data context 10 Show data context
Skins, Leather 0 Show data context 1 Show data context 1 Show data context 4 Show data context 7 Show data context 5 Show data context 5 Show data context 9 Show data context 25 Show data context 48 Show data context 46 Show data context 27 Show data context 17 Show data context 9 Show data context
Paper, Prints 0 Show data context 1 Show data context 4 Show data context 5 Show data context 3 Show data context 9 Show data context 7 Show data context 5 Show data context 22 Show data context 45 Show data context 66 Show data context 46 Show data context 25 Show data context 16 Show data context
Textile Fabrics 1 Show data context 4 Show data context 4 Show data context 11 Show data context 14 Show data context 12 Show data context 18 Show data context 12 Show data context 65 Show data context 105 Show data context 105 Show data context 72 Show data context 32 Show data context 18 Show data context
Dress 323 Show data context 445 Show data context 457 Show data context 386 Show data context 352 Show data context 317 Show data context 261 Show data context 202 Show data context 864 Show data context 1,256 Show data context 1,269 Show data context 1,042 Show data context 684 Show data context 236 Show data context
Food, Drink 9 Show data context 6 Show data context 14 Show data context 13 Show data context 25 Show data context 33 Show data context 29 Show data context 20 Show data context 141 Show data context 260 Show data context 235 Show data context 165 Show data context 108 Show data context 47 Show data context
Gas, Water 3 Show data context 16 Show data context 20 Show data context 50 Show data context 44 Show data context 47 Show data context 61 Show data context 68 Show data context 287 Show data context 613 Show data context 638 Show data context 467 Show data context 271 Show data context 81 Show data context
Other & Undefined 0 Show data context 0 Show data context 0 Show data context 0 Show data context 0 Show data context 3 Show data context 3 Show data context 6 Show data context 9 Show data context 79 Show data context 131 Show data context 158 Show data context 63 Show data context 14 Show data context
Unoccupied 23 Show data context 6 Show data context 1 Show data context 16 Show data context 15 Show data context 18 Show data context 17 Show data context 17 Show data context 101 Show data context 308 Show data context 379 Show data context 292 Show data context 193 Show data context 69 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 1 Show data context 1 Show data context 0 Show data context 3 Show data context 3 Show data context 31 Show data context 35 Show data context 17 Show data context 13 Show data context 6 Show data context 1 Show data context
Defence
Professional Occupations 0 Show data context 0 Show data context 2 Show data context 0 Show data context 4 Show data context 14 Show data context 23 Show data context 13 Show data context 145 Show data context 236 Show data context 145 Show data context 63 Show data context 50 Show data context 17 Show data context
Domestic Services 3 Show data context 5 Show data context 17 Show data context 36 Show data context 54 Show data context 76 Show data context 95 Show data context 110 Show data context 435 Show data context 594 Show data context 422 Show data context 384 Show data context 299 Show data context 81 Show data context
Commercial Occupations 0 Show data context 3 Show data context 6 Show data context 13 Show data context 18 Show data context 18 Show data context 27 Show data context 24 Show data context 113 Show data context 83 Show data context 30 Show data context 7 Show data context 3 Show data context 1 Show data context
Transport 13 Show data context 6 Show data context 9 Show data context 5 Show data context 4 Show data context 4 Show data context 2 Show data context 3 Show data context 6 Show data context 8 Show data context 4 Show data context 0 Show data context 0 Show data context 0 Show data context
Agriculture 0 Show data context 3 Show data context 0 Show data context 3 Show data context 3 Show data context 0 Show data context 2 Show data context 1 Show data context 2 Show data context 5 Show data context 8 Show data context 4 Show data context 1 Show data context 8 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 0 Show data context 0 Show data context 0 Show data context 2 Show data context 2 Show data context 2 Show data context
Jewelry, Instruments 0 Show data context 6 Show data context 14 Show data context 8 Show data context 9 Show data context 15 Show data context 12 Show data context 6 Show data context 37 Show data context 27 Show data context 12 Show data context 9 Show data context 6 Show data context 2 Show data context
Building 0 Show data context 15 Show data context 20 Show data context 29 Show data context 22 Show data context 27 Show data context 30 Show data context 27 Show data context 56 Show data context 29 Show data context 4 Show data context 4 Show data context 3 Show data context 0 Show data context
Wood, Furniture
Brick, Cement 0 Show data context 4 Show data context 1 Show data context 3 Show data context 2 Show data context 2 Show data context 5 Show data context 3 Show data context 13 Show data context 17 Show data context 17 Show data context 3 Show data context 4 Show data context 0 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 1 Show data context 2 Show data context 3 Show data context 1 Show data context 1 Show data context 0 Show data context 1 Show data context
Skins, Leather 0 Show data context 4 Show data context 2 Show data context 1 Show data context 1 Show data context 1 Show data context 1 Show data context 2 Show data context 9 Show data context 8 Show data context 1 Show data context 1 Show data context 2 Show data context 1 Show data context
Paper, Prints 1 Show data context 5 Show data context 1 Show data context 3 Show data context 0 Show data context 1 Show data context 1 Show data context 0 Show data context 6 Show data context 10 Show data context 11 Show data context 4 Show data context 3 Show data context 1 Show data context
Textile Fabrics 2 Show data context 10 Show data context 19 Show data context 16 Show data context 13 Show data context 17 Show data context 15 Show data context 17 Show data context 60 Show data context 48 Show data context 20 Show data context 3 Show data context 3 Show data context 2 Show data context
Dress 310 Show data context 450 Show data context 511 Show data context 544 Show data context 532 Show data context 554 Show data context 570 Show data context 543 Show data context 2,384 Show data context 2,567 Show data context 1,278 Show data context 749 Show data context 269 Show data context 57 Show data context
Food, Drink 11 Show data context 82 Show data context 84 Show data context 105 Show data context 119 Show data context 107 Show data context 104 Show data context 96 Show data context 503 Show data context 509 Show data context 256 Show data context 149 Show data context 57 Show data context 33 Show data context
Gas, Water 0 Show data context 14 Show data context 35 Show data context 46 Show data context 37 Show data context 50 Show data context 60 Show data context 45 Show data context 229 Show data context 346 Show data context 282 Show data context 237 Show data context 120 Show data context 50 Show data context
Other & Undefined
Unoccupied 0 Show data context 2 Show data context 1 Show data context 10 Show data context 2 Show data context 8 Show data context 4 Show data context 5 Show data context 21 Show data context 35 Show data context 32 Show data context 20 Show data context 26 Show data context 14 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, Halifax 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/10026635/cube/OCC_ORD1911_AGESEX

Date accessed: 28th May 2024