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 9 Show data context 15 Show data context 26 Show data context 9 Show data context 15 Show data context 8 Show data context 5 Show data context 50 Show data context 158 Show data context 154 Show data context 104 Show data context 38 Show data context 21 Show data context
Defence 0 Show data context 0 Show data context 0 Show data context 0 Show data context 0 Show data context 1 Show data context 21 Show data context 19 Show data context 29 Show data context 91 Show data context 60 Show data context 26 Show data context 15 Show data context 12 Show data context
Professional Occupations 0 Show data context 3 Show data context 3 Show data context 10 Show data context 14 Show data context 16 Show data context 25 Show data context 20 Show data context 86 Show data context 200 Show data context 201 Show data context 231 Show data context 149 Show data context 99 Show data context
Domestic Services 2 Show data context 44 Show data context 80 Show data context 81 Show data context 85 Show data context 87 Show data context 84 Show data context 77 Show data context 334 Show data context 587 Show data context 499 Show data context 348 Show data context 201 Show data context 105 Show data context
Commercial Occupations 0 Show data context 2 Show data context 9 Show data context 12 Show data context 24 Show data context 24 Show data context 22 Show data context 13 Show data context 112 Show data context 218 Show data context 165 Show data context 95 Show data context 51 Show data context 21 Show data context
Transport 24 Show data context 111 Show data context 185 Show data context 186 Show data context 148 Show data context 94 Show data context 109 Show data context 88 Show data context 424 Show data context 782 Show data context 615 Show data context 488 Show data context 243 Show data context 74 Show data context
Agriculture 12 Show data context 242 Show data context 468 Show data context 489 Show data context 483 Show data context 473 Show data context 465 Show data context 426 Show data context 1,807 Show data context 3,051 Show data context 2,595 Show data context 2,409 Show data context 1,723 Show data context 1,265 Show data context
Mines & Quarries
Metals, Machines 0 Show data context 1 Show data context 1 Show data context 1 Show data context 2 Show data context 3 Show data context 5 Show data context 1 Show data context 8 Show data context 34 Show data context 33 Show data context 24 Show data context 10 Show data context 13 Show data context
Jewelry, Instruments 0 Show data context 5 Show data context 29 Show data context 42 Show data context 68 Show data context 64 Show data context 70 Show data context 60 Show data context 205 Show data context 398 Show data context 305 Show data context 225 Show data context 179 Show data context 93 Show data context
Building 0 Show data context 0 Show data context 0 Show data context 3 Show data context 1 Show data context 3 Show data context 0 Show data context 0 Show data context 10 Show data context 17 Show data context 24 Show data context 20 Show data context 15 Show data context 10 Show data context
Wood, Furniture 0 Show data context 7 Show data context 8 Show data context 29 Show data context 30 Show data context 33 Show data context 56 Show data context 38 Show data context 256 Show data context 644 Show data context 532 Show data context 480 Show data context 344 Show data context 183 Show data context
Brick, Cement 0 Show data context 0 Show data context 1 Show data context 12 Show data context 13 Show data context 10 Show data context 10 Show data context 10 Show data context 49 Show data context 83 Show data context 86 Show data context 68 Show data context 38 Show data context 33 Show data context
Chemicals 0 Show data context 0 Show data context 2 Show data context 0 Show data context 2 Show data context 3 Show data context 4 Show data context 3 Show data context 16 Show data context 49 Show data context 36 Show data context 28 Show data context 20 Show data context 14 Show data context
Skins, Leather 0 Show data context 0 Show data context 1 Show data context 1 Show data context 3 Show data context 4 Show data context 5 Show data context 2 Show data context 12 Show data context 22 Show data context 24 Show data context 22 Show data context 9 Show data context 4 Show data context
Paper, Prints 0 Show data context 4 Show data context 9 Show data context 11 Show data context 11 Show data context 5 Show data context 5 Show data context 9 Show data context 69 Show data context 114 Show data context 84 Show data context 67 Show data context 48 Show data context 24 Show data context
Textile Fabrics 0 Show data context 5 Show data context 8 Show data context 11 Show data context 18 Show data context 13 Show data context 13 Show data context 15 Show data context 31 Show data context 42 Show data context 43 Show data context 32 Show data context 11 Show data context 7 Show data context
Dress 0 Show data context 16 Show data context 34 Show data context 32 Show data context 27 Show data context 29 Show data context 22 Show data context 16 Show data context 97 Show data context 184 Show data context 224 Show data context 212 Show data context 126 Show data context 70 Show data context
Food, Drink 0 Show data context 7 Show data context 22 Show data context 25 Show data context 27 Show data context 31 Show data context 36 Show data context 24 Show data context 132 Show data context 171 Show data context 193 Show data context 181 Show data context 139 Show data context 87 Show data context
Gas, Water 0 Show data context 16 Show data context 51 Show data context 81 Show data context 111 Show data context 120 Show data context 119 Show data context 99 Show data context 427 Show data context 727 Show data context 709 Show data context 532 Show data context 351 Show data context 178 Show data context
Other & Undefined 0 Show data context 0 Show data context 1 Show data context 0 Show data context 1 Show data context 4 Show data context 0 Show data context 1 Show data context 9 Show data context 24 Show data context 35 Show data context 25 Show data context 7 Show data context 4 Show data context
Unoccupied 0 Show data context 16 Show data context 30 Show data context 24 Show data context 40 Show data context 44 Show data context 61 Show data context 53 Show data context 189 Show data context 337 Show data context 330 Show data context 317 Show data context 190 Show data context 146 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 3 Show data context 4 Show data context 8 Show data context 5 Show data context 25 Show data context 40 Show data context 30 Show data context 20 Show data context 22 Show data context 3 Show data context
Defence
Professional Occupations 2 Show data context 0 Show data context 1 Show data context 5 Show data context 9 Show data context 19 Show data context 43 Show data context 36 Show data context 247 Show data context 376 Show data context 197 Show data context 147 Show data context 64 Show data context 37 Show data context
Domestic Services 2 Show data context 122 Show data context 271 Show data context 350 Show data context 420 Show data context 422 Show data context 417 Show data context 360 Show data context 1,465 Show data context 1,074 Show data context 599 Show data context 515 Show data context 360 Show data context 228 Show data context
Commercial Occupations 0 Show data context 2 Show data context 3 Show data context 2 Show data context 10 Show data context 4 Show data context 6 Show data context 7 Show data context 30 Show data context 16 Show data context 14 Show data context 6 Show data context 2 Show data context 3 Show data context
Transport 1 Show data context 3 Show data context 8 Show data context 3 Show data context 1 Show data context 1 Show data context 0 Show data context 0 Show data context 5 Show data context 3 Show data context 4 Show data context 4 Show data context 1 Show data context 1 Show data context
Agriculture 1 Show data context 1 Show data context 9 Show data context 7 Show data context 15 Show data context 10 Show data context 14 Show data context 7 Show data context 44 Show data context 59 Show data context 33 Show data context 34 Show data context 35 Show data context 40 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 1 Show data context 0 Show data context 1 Show data context 1 Show data context 1 Show data context 2 Show data context 2 Show data context 1 Show data context
Jewelry, Instruments 0 Show data context 1 Show data context 0 Show data context 1 Show data context 1 Show data context 1 Show data context 1 Show data context 0 Show data context 1 Show data context 6 Show data context 3 Show data context 1 Show data context 3 Show data context 2 Show data context
Building 0 Show data context 0 Show data context 0 Show data context 2 Show data context 1 Show data context 0 Show data context 1 Show data context 0 Show data context 1 Show data context 1 Show data context 4 Show data context 2 Show data context 3 Show data context 2 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 0 Show data context 1 Show data context
Brick, Cement 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 2 Show data context 2 Show data context 2 Show data context 3 Show data context 1 Show data context
Chemicals 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 2 Show data context 1 Show data context 0 Show data context 1 Show data context 1 Show data context 1 Show data context
Skins, Leather 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 0 Show data context 1 Show data context 3 Show data context 2 Show data context 0 Show data context 1 Show data context 1 Show data context
Paper, Prints 0 Show data context 10 Show data context 23 Show data context 22 Show data context 22 Show data context 19 Show data context 24 Show data context 23 Show data context 110 Show data context 197 Show data context 176 Show data context 128 Show data context 54 Show data context 18 Show data context
Textile Fabrics 0 Show data context 0 Show data context 0 Show data context 3 Show data context 5 Show data context 3 Show data context 4 Show data context 3 Show data context 11 Show data context 8 Show data context 4 Show data context 7 Show data context 5 Show data context 1 Show data context
Dress 0 Show data context 23 Show data context 32 Show data context 57 Show data context 66 Show data context 51 Show data context 52 Show data context 50 Show data context 210 Show data context 189 Show data context 61 Show data context 58 Show data context 35 Show data context 20 Show data context
Food, Drink 0 Show data context 22 Show data context 66 Show data context 98 Show data context 90 Show data context 123 Show data context 67 Show data context 71 Show data context 326 Show data context 454 Show data context 333 Show data context 270 Show data context 145 Show data context 78 Show data context
Gas, Water 0 Show data context 1 Show data context 5 Show data context 9 Show data context 16 Show data context 17 Show data context 17 Show data context 22 Show data context 97 Show data context 168 Show data context 164 Show data context 182 Show data context 119 Show data context 96 Show data context
Other & Undefined
Unoccupied 0 Show data context 1 Show data context 6 Show data context 1 Show data context 10 Show data context 8 Show data context 6 Show data context 8 Show data context 15 Show data context 32 Show data context 26 Show data context 30 Show data context 30 Show data context 29 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, West Suffolk AdmC 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/10025011/cube/OCC_ORD1911_AGESEX

Date accessed: 25th April 2024