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 18 Show data context 10 Show data context 9 Show data context 5 Show data context 10 Show data context 6 Show data context 39 Show data context 108 Show data context 82 Show data context 61 Show data context 22 Show data context 13 Show data context
Defence 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 11 Show data context 11 Show data context 3 Show data context 4 Show data context 4 Show data context
Professional Occupations 0 Show data context 0 Show data context 1 Show data context 5 Show data context 10 Show data context 12 Show data context 14 Show data context 8 Show data context 64 Show data context 156 Show data context 139 Show data context 158 Show data context 78 Show data context 40 Show data context
Domestic Services 0 Show data context 2 Show data context 9 Show data context 24 Show data context 28 Show data context 31 Show data context 41 Show data context 39 Show data context 150 Show data context 269 Show data context 265 Show data context 177 Show data context 109 Show data context 53 Show data context
Commercial Occupations 0 Show data context 0 Show data context 6 Show data context 4 Show data context 16 Show data context 13 Show data context 17 Show data context 25 Show data context 65 Show data context 152 Show data context 129 Show data context 63 Show data context 56 Show data context 19 Show data context
Transport 23 Show data context 28 Show data context 48 Show data context 38 Show data context 34 Show data context 34 Show data context 33 Show data context 31 Show data context 182 Show data context 460 Show data context 377 Show data context 314 Show data context 199 Show data context 42 Show data context
Agriculture 1 Show data context 17 Show data context 143 Show data context 193 Show data context 244 Show data context 236 Show data context 218 Show data context 205 Show data context 837 Show data context 1,044 Show data context 1,009 Show data context 894 Show data context 653 Show data context 476 Show data context
Mines & Quarries
Metals, Machines 0 Show data context 2 Show data context 8 Show data context 10 Show data context 13 Show data context 6 Show data context 12 Show data context 8 Show data context 59 Show data context 125 Show data context 130 Show data context 94 Show data context 69 Show data context 27 Show data context
Jewelry, Instruments 0 Show data context 1 Show data context 22 Show data context 29 Show data context 38 Show data context 38 Show data context 35 Show data context 37 Show data context 137 Show data context 200 Show data context 170 Show data context 124 Show data context 90 Show data context 37 Show data context
Building 0 Show data context 0 Show data context 2 Show data context 4 Show data context 0 Show data context 1 Show data context 2 Show data context 1 Show data context 13 Show data context 11 Show data context 15 Show data context 20 Show data context 10 Show data context 4 Show data context
Wood, Furniture 0 Show data context 0 Show data context 23 Show data context 27 Show data context 24 Show data context 45 Show data context 45 Show data context 44 Show data context 251 Show data context 499 Show data context 348 Show data context 337 Show data context 286 Show data context 142 Show data context
Brick, Cement 0 Show data context 5 Show data context 13 Show data context 22 Show data context 25 Show data context 23 Show data context 14 Show data context 22 Show data context 70 Show data context 109 Show data context 110 Show data context 91 Show data context 84 Show data context 50 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 0 Show data context 1 Show data context 5 Show data context 4 Show data context 3 Show data context 5 Show data context 0 Show data context
Skins, Leather 0 Show data context 0 Show data context 2 Show data context 2 Show data context 6 Show data context 9 Show data context 1 Show data context 7 Show data context 22 Show data context 50 Show data context 60 Show data context 44 Show data context 21 Show data context 11 Show data context
Paper, Prints 0 Show data context 0 Show data context 0 Show data context 2 Show data context 1 Show data context 3 Show data context 4 Show data context 0 Show data context 10 Show data context 22 Show data context 16 Show data context 9 Show data context 14 Show data context 8 Show data context
Textile Fabrics 0 Show data context 2 Show data context 9 Show data context 15 Show data context 12 Show data context 14 Show data context 22 Show data context 14 Show data context 63 Show data context 84 Show data context 91 Show data context 57 Show data context 35 Show data context 19 Show data context
Dress 0 Show data context 5 Show data context 14 Show data context 17 Show data context 17 Show data context 17 Show data context 16 Show data context 20 Show data context 54 Show data context 91 Show data context 77 Show data context 90 Show data context 55 Show data context 36 Show data context
Food, Drink 0 Show data context 1 Show data context 14 Show data context 33 Show data context 31 Show data context 35 Show data context 25 Show data context 23 Show data context 100 Show data context 202 Show data context 172 Show data context 142 Show data context 99 Show data context 61 Show data context
Gas, Water 0 Show data context 1 Show data context 21 Show data context 42 Show data context 47 Show data context 33 Show data context 35 Show data context 35 Show data context 138 Show data context 317 Show data context 254 Show data context 179 Show data context 141 Show data context 66 Show data context
Other & Undefined 0 Show data context 0 Show data context 1 Show data context 1 Show data context 4 Show data context 0 Show data context 0 Show data context 1 Show data context 13 Show data context 39 Show data context 48 Show data context 47 Show data context 25 Show data context 9 Show data context
Unoccupied 7 Show data context 7 Show data context 1 Show data context 10 Show data context 9 Show data context 14 Show data context 12 Show data context 13 Show data context 71 Show data context 218 Show data context 236 Show data context 213 Show data context 193 Show data context 128 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 7 Show data context 7 Show data context 4 Show data context 14 Show data context 21 Show data context 20 Show data context 10 Show data context 6 Show data context 5 Show data context
Defence
Professional Occupations 0 Show data context 0 Show data context 0 Show data context 3 Show data context 2 Show data context 10 Show data context 19 Show data context 16 Show data context 165 Show data context 207 Show data context 107 Show data context 92 Show data context 38 Show data context 15 Show data context
Domestic Services 0 Show data context 7 Show data context 95 Show data context 174 Show data context 197 Show data context 219 Show data context 236 Show data context 228 Show data context 975 Show data context 852 Show data context 447 Show data context 353 Show data context 197 Show data context 93 Show data context
Commercial Occupations 0 Show data context 0 Show data context 1 Show data context 1 Show data context 11 Show data context 3 Show data context 5 Show data context 7 Show data context 28 Show data context 18 Show data context 7 Show data context 3 Show data context 1 Show data context 0 Show data context
Transport 0 Show data context 1 Show data context 1 Show data context 2 Show data context 2 Show data context 0 Show data context 0 Show data context 1 Show data context 5 Show data context 6 Show data context 2 Show data context 2 Show data context 1 Show data context 1 Show data context
Agriculture 1 Show data context 4 Show data context 39 Show data context 79 Show data context 62 Show data context 68 Show data context 69 Show data context 66 Show data context 287 Show data context 296 Show data context 107 Show data context 88 Show data context 69 Show data context 65 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 0 Show data context 1 Show data context 2 Show data context
Jewelry, Instruments 0 Show data context 0 Show data context 2 Show data context 2 Show data context 3 Show data context 5 Show data context 3 Show data context 5 Show data context 8 Show data context 8 Show data context 1 Show data context 3 Show data context 2 Show data context 2 Show data context
Building 0 Show data context 0 Show data context 0 Show data context 1 Show data context 0 Show data context 2 Show data context 0 Show data context 1 Show data context 3 Show data context 3 Show data context 4 Show data context 3 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 1 Show data context 1 Show data context 0 Show data context 0 Show data context
Brick, Cement 0 Show data context 0 Show data context 1 Show data context 0 Show data context 3 Show data context 0 Show data context 0 Show data context 3 Show data context 12 Show data context 7 Show data context 8 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 1 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 2 Show data context 1 Show data context 0 Show data context
Skins, Leather 0 Show data context 0 Show data context 1 Show data context 3 Show data context 4 Show data context 1 Show data context 1 Show data context 3 Show data context 10 Show data context 13 Show data context 8 Show data context 0 Show data context 2 Show data context 0 Show data context
Paper, Prints 0 Show data context 0 Show data context 0 Show data context 2 Show data context 1 Show data context 4 Show data context 2 Show data context 0 Show data context 6 Show data context 12 Show data context 5 Show data context 3 Show data context 1 Show data context 0 Show data context
Textile Fabrics 0 Show data context 1 Show data context 8 Show data context 21 Show data context 10 Show data context 13 Show data context 12 Show data context 10 Show data context 56 Show data context 46 Show data context 13 Show data context 10 Show data context 6 Show data context 2 Show data context
Dress 0 Show data context 0 Show data context 17 Show data context 31 Show data context 22 Show data context 27 Show data context 32 Show data context 33 Show data context 134 Show data context 119 Show data context 66 Show data context 44 Show data context 25 Show data context 10 Show data context
Food, Drink 0 Show data context 0 Show data context 43 Show data context 49 Show data context 61 Show data context 71 Show data context 75 Show data context 57 Show data context 245 Show data context 230 Show data context 114 Show data context 85 Show data context 49 Show data context 30 Show data context
Gas, Water 0 Show data context 1 Show data context 21 Show data context 16 Show data context 24 Show data context 25 Show data context 30 Show data context 42 Show data context 144 Show data context 203 Show data context 162 Show data context 196 Show data context 174 Show data context 107 Show data context
Other & Undefined
Unoccupied 0 Show data context 0 Show data context 2 Show data context 0 Show data context 4 Show data context 1 Show data context 1 Show data context 1 Show data context 12 Show data context 17 Show data context 17 Show data context 12 Show data context 14 Show data context 6 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, Westmorland 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/10100926/cube/OCC_ORD1911_AGESEX

Date accessed: 24th April 2024