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 7 Show data context 17 Show data context 28 Show data context 17 Show data context 18 Show data context 38 Show data context 198 Show data context 497 Show data context 402 Show data context 271 Show data context 98 Show data context 15 Show data context
Defence 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 4 Show data context 15 Show data context 7 Show data context 5 Show data context 3 Show data context 9 Show data context
Professional Occupations 0 Show data context 2 Show data context 9 Show data context 16 Show data context 16 Show data context 19 Show data context 30 Show data context 37 Show data context 186 Show data context 546 Show data context 563 Show data context 447 Show data context 248 Show data context 99 Show data context
Domestic Services 0 Show data context 1 Show data context 2 Show data context 7 Show data context 6 Show data context 5 Show data context 10 Show data context 13 Show data context 69 Show data context 133 Show data context 112 Show data context 83 Show data context 56 Show data context 25 Show data context
Commercial Occupations 0 Show data context 0 Show data context 22 Show data context 94 Show data context 170 Show data context 216 Show data context 230 Show data context 242 Show data context 1,227 Show data context 1,960 Show data context 1,499 Show data context 1,006 Show data context 545 Show data context 194 Show data context
Transport 10 Show data context 12 Show data context 98 Show data context 109 Show data context 74 Show data context 53 Show data context 52 Show data context 58 Show data context 254 Show data context 583 Show data context 475 Show data context 285 Show data context 168 Show data context 30 Show data context
Agriculture 0 Show data context 0 Show data context 3 Show data context 4 Show data context 3 Show data context 1 Show data context 5 Show data context 1 Show data context 18 Show data context 50 Show data context 65 Show data context 64 Show data context 55 Show data context 29 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 1 Show data context 1 Show data context 12 Show data context 15 Show data context 14 Show data context 18 Show data context 9 Show data context
Jewelry, Instruments 0 Show data context 0 Show data context 12 Show data context 17 Show data context 41 Show data context 31 Show data context 43 Show data context 35 Show data context 172 Show data context 367 Show data context 268 Show data context 186 Show data context 96 Show data context 34 Show data context
Building 0 Show data context 0 Show data context 5 Show data context 12 Show data context 13 Show data context 12 Show data context 17 Show data context 17 Show data context 87 Show data context 200 Show data context 176 Show data context 139 Show data context 98 Show data context 59 Show data context
Wood, Furniture 0 Show data context 1 Show data context 5 Show data context 11 Show data context 13 Show data context 17 Show data context 18 Show data context 26 Show data context 155 Show data context 463 Show data context 388 Show data context 357 Show data context 209 Show data context 102 Show data context
Brick, Cement 0 Show data context 0 Show data context 1 Show data context 2 Show data context 7 Show data context 8 Show data context 5 Show data context 9 Show data context 49 Show data context 155 Show data context 147 Show data context 128 Show data context 63 Show data context 31 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 1 Show data context 0 Show data context 10 Show data context 11 Show data context 15 Show data context 21 Show data context 13 Show data context 6 Show data context
Skins, Leather 0 Show data context 0 Show data context 3 Show data context 2 Show data context 5 Show data context 3 Show data context 6 Show data context 4 Show data context 30 Show data context 77 Show data context 75 Show data context 52 Show data context 24 Show data context 16 Show data context
Paper, Prints 0 Show data context 0 Show data context 1 Show data context 2 Show data context 4 Show data context 5 Show data context 2 Show data context 3 Show data context 19 Show data context 38 Show data context 54 Show data context 38 Show data context 23 Show data context 15 Show data context
Textile Fabrics 0 Show data context 0 Show data context 6 Show data context 10 Show data context 18 Show data context 13 Show data context 17 Show data context 16 Show data context 86 Show data context 266 Show data context 291 Show data context 209 Show data context 130 Show data context 37 Show data context
Dress 0 Show data context 0 Show data context 2 Show data context 11 Show data context 11 Show data context 18 Show data context 23 Show data context 18 Show data context 71 Show data context 131 Show data context 130 Show data context 117 Show data context 70 Show data context 23 Show data context
Food, Drink 0 Show data context 0 Show data context 4 Show data context 12 Show data context 14 Show data context 14 Show data context 23 Show data context 23 Show data context 107 Show data context 216 Show data context 235 Show data context 178 Show data context 118 Show data context 37 Show data context
Gas, Water 0 Show data context 0 Show data context 19 Show data context 24 Show data context 38 Show data context 32 Show data context 54 Show data context 50 Show data context 259 Show data context 543 Show data context 440 Show data context 297 Show data context 129 Show data context 58 Show data context
Other & Undefined 0 Show data context 0 Show data context 1 Show data context 4 Show data context 0 Show data context 3 Show data context 3 Show data context 3 Show data context 20 Show data context 70 Show data context 81 Show data context 53 Show data context 20 Show data context 8 Show data context
Unoccupied 13 Show data context 4 Show data context 3 Show data context 6 Show data context 6 Show data context 5 Show data context 4 Show data context 18 Show data context 48 Show data context 134 Show data context 135 Show data context 101 Show data context 57 Show data context 21 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 4 Show data context 9 Show data context 19 Show data context 29 Show data context 112 Show data context 143 Show data context 72 Show data context 17 Show data context 7 Show data context 0 Show data context
Defence
Professional Occupations 0 Show data context 1 Show data context 0 Show data context 1 Show data context 7 Show data context 26 Show data context 18 Show data context 35 Show data context 312 Show data context 663 Show data context 442 Show data context 254 Show data context 114 Show data context 34 Show data context
Domestic Services 0 Show data context 4 Show data context 101 Show data context 211 Show data context 305 Show data context 387 Show data context 396 Show data context 477 Show data context 2,121 Show data context 1,957 Show data context 846 Show data context 530 Show data context 258 Show data context 100 Show data context
Commercial Occupations 0 Show data context 0 Show data context 5 Show data context 29 Show data context 50 Show data context 86 Show data context 102 Show data context 113 Show data context 502 Show data context 562 Show data context 163 Show data context 31 Show data context 15 Show data context 0 Show data context
Transport 0 Show data context 0 Show data context 2 Show data context 2 Show data context 3 Show data context 9 Show data context 9 Show data context 8 Show data context 40 Show data context 31 Show data context 8 Show data context 2 Show data context 6 Show data context 2 Show data context
Agriculture 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 1 Show data context 3 Show data context 1 Show data context 0 Show data context 2 Show data context 1 Show data context 0 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 3 Show data context 0 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 2 Show data context 1 Show data context 5 Show data context 0 Show data context 7 Show data context 10 Show data context 5 Show data context 2 Show data context 1 Show data context 0 Show data context
Building 0 Show data context 0 Show data context 1 Show data context 2 Show data context 7 Show data context 1 Show data context 6 Show data context 2 Show data context 28 Show data context 29 Show data context 14 Show data context 7 Show data context 3 Show data context 5 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 1 Show data context 0 Show data context 0 Show data context 1 Show data context
Brick, Cement 0 Show data context 0 Show data context 0 Show data context 1 Show data context 2 Show data context 0 Show data context 1 Show data context 3 Show data context 6 Show data context 9 Show data context 5 Show data context 4 Show data context 3 Show data context 1 Show data context
Chemicals 0 Show data context 0 Show data context 0 Show data context 1 Show data context 1 Show data context 0 Show data context 0 Show data context 2 Show data context 4 Show data context 2 Show data context 3 Show data context 6 Show data context 1 Show data context 1 Show data context
Skins, Leather 0 Show data context 0 Show data context 0 Show data context 1 Show data context 1 Show data context 0 Show data context 1 Show data context 1 Show data context 6 Show data context 4 Show data context 4 Show data context 1 Show data context 0 Show data context 0 Show data context
Paper, Prints 0 Show data context 0 Show data context 3 Show data context 2 Show data context 3 Show data context 3 Show data context 1 Show data context 4 Show data context 6 Show data context 19 Show data context 7 Show data context 2 Show data context 3 Show data context 2 Show data context
Textile Fabrics 0 Show data context 0 Show data context 2 Show data context 13 Show data context 8 Show data context 7 Show data context 5 Show data context 4 Show data context 43 Show data context 42 Show data context 32 Show data context 18 Show data context 13 Show data context 4 Show data context
Dress 0 Show data context 0 Show data context 3 Show data context 5 Show data context 21 Show data context 18 Show data context 23 Show data context 20 Show data context 114 Show data context 117 Show data context 61 Show data context 36 Show data context 18 Show data context 7 Show data context
Food, Drink 0 Show data context 0 Show data context 28 Show data context 48 Show data context 59 Show data context 88 Show data context 64 Show data context 85 Show data context 377 Show data context 401 Show data context 270 Show data context 173 Show data context 99 Show data context 37 Show data context
Gas, Water 0 Show data context 0 Show data context 5 Show data context 10 Show data context 16 Show data context 9 Show data context 23 Show data context 17 Show data context 110 Show data context 173 Show data context 161 Show data context 141 Show data context 70 Show data context 40 Show data context
Other & Undefined
Unoccupied 0 Show data context 0 Show data context 2 Show data context 2 Show data context 5 Show data context 3 Show data context 3 Show data context 2 Show data context 24 Show data context 20 Show data context 19 Show data context 12 Show data context 8 Show data context 2 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, Hornsey UD/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/10186377/cube/OCC_ORD1911_AGESEX

Date accessed: 17th June 2024