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 4 Show data context 28 Show data context 21 Show data context 9 Show data context 11 Show data context 7 Show data context 9 Show data context 81 Show data context 194 Show data context 177 Show data context 113 Show data context 40 Show data context 15 Show data context
Defence 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 2 Show data context 4 Show data context 7 Show data context 7 Show data context 3 Show data context 1 Show data context 1 Show data context
Professional Occupations 2 Show data context 2 Show data context 7 Show data context 9 Show data context 15 Show data context 13 Show data context 42 Show data context 23 Show data context 172 Show data context 321 Show data context 265 Show data context 200 Show data context 84 Show data context 41 Show data context
Domestic Services 0 Show data context 0 Show data context 1 Show data context 9 Show data context 6 Show data context 4 Show data context 12 Show data context 10 Show data context 48 Show data context 89 Show data context 62 Show data context 35 Show data context 28 Show data context 24 Show data context
Commercial Occupations 0 Show data context 2 Show data context 27 Show data context 52 Show data context 86 Show data context 81 Show data context 108 Show data context 96 Show data context 438 Show data context 732 Show data context 491 Show data context 301 Show data context 166 Show data context 67 Show data context
Transport 24 Show data context 60 Show data context 258 Show data context 221 Show data context 188 Show data context 215 Show data context 217 Show data context 230 Show data context 1,210 Show data context 2,264 Show data context 1,754 Show data context 1,077 Show data context 585 Show data context 218 Show data context
Agriculture 0 Show data context 0 Show data context 0 Show data context 2 Show data context 5 Show data context 0 Show data context 0 Show data context 3 Show data context 23 Show data context 39 Show data context 23 Show data context 32 Show data context 27 Show data context 14 Show data context
Mines & Quarries
Metals, Machines 0 Show data context 0 Show data context 3 Show data context 12 Show data context 11 Show data context 15 Show data context 27 Show data context 35 Show data context 219 Show data context 471 Show data context 322 Show data context 216 Show data context 129 Show data context 45 Show data context
Jewelry, Instruments 0 Show data context 3 Show data context 191 Show data context 312 Show data context 377 Show data context 342 Show data context 370 Show data context 406 Show data context 1,869 Show data context 2,926 Show data context 2,066 Show data context 1,536 Show data context 847 Show data context 284 Show data context
Building 0 Show data context 0 Show data context 0 Show data context 5 Show data context 6 Show data context 3 Show data context 10 Show data context 6 Show data context 30 Show data context 54 Show data context 36 Show data context 23 Show data context 10 Show data context 7 Show data context
Wood, Furniture 0 Show data context 3 Show data context 24 Show data context 32 Show data context 48 Show data context 62 Show data context 59 Show data context 64 Show data context 383 Show data context 945 Show data context 676 Show data context 541 Show data context 331 Show data context 125 Show data context
Brick, Cement 0 Show data context 0 Show data context 3 Show data context 16 Show data context 20 Show data context 19 Show data context 14 Show data context 18 Show data context 116 Show data context 261 Show data context 152 Show data context 106 Show data context 67 Show data context 26 Show data context
Chemicals 0 Show data context 0 Show data context 5 Show data context 8 Show data context 7 Show data context 3 Show data context 5 Show data context 5 Show data context 32 Show data context 41 Show data context 29 Show data context 11 Show data context 10 Show data context 6 Show data context
Skins, Leather 0 Show data context 0 Show data context 6 Show data context 3 Show data context 2 Show data context 3 Show data context 6 Show data context 5 Show data context 36 Show data context 80 Show data context 92 Show data context 62 Show data context 46 Show data context 14 Show data context
Paper, Prints 0 Show data context 0 Show data context 0 Show data context 2 Show data context 0 Show data context 1 Show data context 1 Show data context 0 Show data context 7 Show data context 35 Show data context 28 Show data context 14 Show data context 6 Show data context 2 Show data context
Textile Fabrics 0 Show data context 0 Show data context 6 Show data context 8 Show data context 11 Show data context 19 Show data context 9 Show data context 8 Show data context 56 Show data context 81 Show data context 79 Show data context 37 Show data context 26 Show data context 13 Show data context
Dress 0 Show data context 0 Show data context 3 Show data context 11 Show data context 13 Show data context 11 Show data context 20 Show data context 16 Show data context 87 Show data context 97 Show data context 69 Show data context 41 Show data context 25 Show data context 11 Show data context
Food, Drink 5 Show data context 6 Show data context 12 Show data context 24 Show data context 21 Show data context 27 Show data context 34 Show data context 26 Show data context 144 Show data context 269 Show data context 201 Show data context 105 Show data context 77 Show data context 43 Show data context
Gas, Water 0 Show data context 2 Show data context 28 Show data context 57 Show data context 66 Show data context 90 Show data context 84 Show data context 74 Show data context 340 Show data context 674 Show data context 533 Show data context 335 Show data context 178 Show data context 71 Show data context
Other & Undefined 0 Show data context 0 Show data context 1 Show data context 1 Show data context 1 Show data context 3 Show data context 4 Show data context 3 Show data context 26 Show data context 66 Show data context 69 Show data context 46 Show data context 29 Show data context 16 Show data context
Unoccupied 14 Show data context 10 Show data context 28 Show data context 38 Show data context 43 Show data context 61 Show data context 71 Show data context 66 Show data context 273 Show data context 679 Show data context 617 Show data context 485 Show data context 271 Show data context 116 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 5 Show data context 6 Show data context 25 Show data context 47 Show data context 21 Show data context 8 Show data context 4 Show data context 4 Show data context
Defence
Professional Occupations 0 Show data context 0 Show data context 2 Show data context 5 Show data context 9 Show data context 10 Show data context 28 Show data context 36 Show data context 262 Show data context 374 Show data context 144 Show data context 74 Show data context 33 Show data context 21 Show data context
Domestic Services 3 Show data context 9 Show data context 83 Show data context 198 Show data context 229 Show data context 261 Show data context 287 Show data context 267 Show data context 992 Show data context 757 Show data context 382 Show data context 275 Show data context 155 Show data context 79 Show data context
Commercial Occupations 0 Show data context 0 Show data context 1 Show data context 6 Show data context 11 Show data context 18 Show data context 19 Show data context 16 Show data context 71 Show data context 56 Show data context 8 Show data context 4 Show data context 1 Show data context 0 Show data context
Transport 0 Show data context 0 Show data context 0 Show data context 2 Show data context 4 Show data context 2 Show data context 2 Show data context 4 Show data context 26 Show data context 12 Show data context 5 Show data context 1 Show data context 2 Show data context 1 Show data context
Agriculture 0 Show data context 0 Show data context 1 Show data context 0 Show data context 0 Show data context 1 Show data context 1 Show data context 1 Show data context 1 Show data context 5 Show data context 1 Show data context 0 Show data context 1 Show data context 3 Show data context
Mines & Quarries
Metals, Machines 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 2 Show data context 3 Show data context 3 Show data context 3 Show data context 2 Show data context 2 Show data context
Jewelry, Instruments 0 Show data context 0 Show data context 21 Show data context 27 Show data context 60 Show data context 48 Show data context 59 Show data context 49 Show data context 144 Show data context 56 Show data context 37 Show data context 13 Show data context 2 Show data context 0 Show data context
Building 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 5 Show data context 6 Show data context 2 Show data context 2 Show data context 0 Show data context 0 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 1 Show data context 0 Show data context
Brick, Cement 0 Show data context 0 Show data context 0 Show data context 2 Show data context 1 Show data context 9 Show data context 2 Show data context 4 Show data context 19 Show data context 12 Show data context 7 Show data context 6 Show data context 2 Show data context 1 Show data context
Chemicals 0 Show data context 0 Show data context 0 Show data context 1 Show data context 0 Show data context 1 Show data context 1 Show data context 2 Show data context 3 Show data context 4 Show data context 0 Show data context 4 Show data context 1 Show data context 4 Show data context
Skins, Leather 1 Show data context 0 Show data context 2 Show data context 6 Show data context 10 Show data context 21 Show data context 9 Show data context 13 Show data context 28 Show data context 9 Show data context 3 Show data context 1 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 2 Show data context 1 Show data context 0 Show data context 0 Show data context 3 Show data context 3 Show data context 2 Show data context 0 Show data context 0 Show data context 2 Show data context
Textile Fabrics 0 Show data context 0 Show data context 1 Show data context 5 Show data context 6 Show data context 12 Show data context 12 Show data context 9 Show data context 27 Show data context 32 Show data context 14 Show data context 7 Show data context 8 Show data context 5 Show data context
Dress 0 Show data context 1 Show data context 5 Show data context 12 Show data context 25 Show data context 33 Show data context 47 Show data context 35 Show data context 144 Show data context 136 Show data context 41 Show data context 16 Show data context 7 Show data context 2 Show data context
Food, Drink 0 Show data context 0 Show data context 42 Show data context 116 Show data context 165 Show data context 157 Show data context 135 Show data context 155 Show data context 519 Show data context 393 Show data context 168 Show data context 102 Show data context 50 Show data context 29 Show data context
Gas, Water 0 Show data context 3 Show data context 9 Show data context 28 Show data context 36 Show data context 35 Show data context 64 Show data context 50 Show data context 293 Show data context 307 Show data context 238 Show data context 238 Show data context 148 Show data context 98 Show data context
Other & Undefined
Unoccupied 0 Show data context 0 Show data context 4 Show data context 9 Show data context 18 Show data context 8 Show data context 20 Show data context 19 Show data context 66 Show data context 63 Show data context 31 Show data context 32 Show data context 25 Show data context 21 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, Swansea 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/10288680/cube/OCC_ORD1911_AGESEX

Date accessed: 26th April 2024