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 9 Show data context 13 Show data context 7 Show data context 4 Show data context 7 Show data context 5 Show data context 27 Show data context 87 Show data context 81 Show data context 64 Show data context 27 Show data context 6 Show data context
Defence 0 Show data context 0 Show data context 12 Show data context 21 Show data context 11 Show data context 8 Show data context 39 Show data context 34 Show data context 50 Show data context 81 Show data context 62 Show data context 15 Show data context 9 Show data context 17 Show data context
Professional Occupations 0 Show data context 0 Show data context 2 Show data context 10 Show data context 12 Show data context 12 Show data context 10 Show data context 14 Show data context 82 Show data context 142 Show data context 117 Show data context 113 Show data context 57 Show data context 30 Show data context
Domestic Services 0 Show data context 5 Show data context 11 Show data context 10 Show data context 11 Show data context 9 Show data context 10 Show data context 7 Show data context 18 Show data context 63 Show data context 60 Show data context 42 Show data context 26 Show data context 12 Show data context
Commercial Occupations 0 Show data context 1 Show data context 8 Show data context 18 Show data context 31 Show data context 26 Show data context 25 Show data context 23 Show data context 111 Show data context 180 Show data context 142 Show data context 91 Show data context 55 Show data context 30 Show data context
Transport 3 Show data context 12 Show data context 131 Show data context 141 Show data context 110 Show data context 65 Show data context 59 Show data context 48 Show data context 257 Show data context 641 Show data context 564 Show data context 401 Show data context 285 Show data context 114 Show data context
Agriculture 0 Show data context 1 Show data context 7 Show data context 9 Show data context 12 Show data context 8 Show data context 4 Show data context 11 Show data context 31 Show data context 51 Show data context 40 Show data context 40 Show data context 53 Show data context 51 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 1 Show data context 17 Show data context 12 Show data context 14 Show data context 10 Show data context 6 Show data context
Jewelry, Instruments 0 Show data context 0 Show data context 9 Show data context 23 Show data context 36 Show data context 48 Show data context 28 Show data context 32 Show data context 162 Show data context 322 Show data context 216 Show data context 204 Show data context 157 Show data context 79 Show data context
Building 0 Show data context 0 Show data context 2 Show data context 3 Show data context 3 Show data context 5 Show data context 3 Show data context 2 Show data context 6 Show data context 21 Show data context 23 Show data context 11 Show data context 8 Show data context 7 Show data context
Wood, Furniture 0 Show data context 0 Show data context 6 Show data context 16 Show data context 22 Show data context 20 Show data context 26 Show data context 21 Show data context 157 Show data context 379 Show data context 307 Show data context 223 Show data context 163 Show data context 74 Show data context
Brick, Cement 0 Show data context 0 Show data context 12 Show data context 29 Show data context 32 Show data context 41 Show data context 32 Show data context 34 Show data context 103 Show data context 220 Show data context 123 Show data context 90 Show data context 63 Show data context 44 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 0 Show data context 0 Show data context 1 Show data context 5 Show data context 3 Show data context 7 Show data context 5 Show data context 1 Show data context
Skins, Leather 0 Show data context 0 Show data context 0 Show data context 3 Show data context 2 Show data context 3 Show data context 1 Show data context 3 Show data context 14 Show data context 38 Show data context 40 Show data context 23 Show data context 13 Show data context 8 Show data context
Paper, Prints 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 0 Show data context 7 Show data context 12 Show data context 9 Show data context 8 Show data context 4 Show data context 2 Show data context
Textile Fabrics 0 Show data context 0 Show data context 2 Show data context 11 Show data context 8 Show data context 8 Show data context 7 Show data context 5 Show data context 34 Show data context 32 Show data context 36 Show data context 26 Show data context 6 Show data context 8 Show data context
Dress 0 Show data context 0 Show data context 7 Show data context 11 Show data context 19 Show data context 21 Show data context 11 Show data context 9 Show data context 43 Show data context 58 Show data context 58 Show data context 52 Show data context 28 Show data context 20 Show data context
Food, Drink 0 Show data context 2 Show data context 10 Show data context 23 Show data context 34 Show data context 23 Show data context 21 Show data context 17 Show data context 65 Show data context 167 Show data context 124 Show data context 95 Show data context 74 Show data context 49 Show data context
Gas, Water 1 Show data context 1 Show data context 13 Show data context 42 Show data context 54 Show data context 91 Show data context 72 Show data context 57 Show data context 286 Show data context 507 Show data context 466 Show data context 362 Show data context 221 Show data context 113 Show data context
Other & Undefined 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 13 Show data context 46 Show data context 38 Show data context 31 Show data context 23 Show data context 10 Show data context
Unoccupied 1 Show data context 0 Show data context 15 Show data context 29 Show data context 39 Show data context 30 Show data context 35 Show data context 42 Show data context 185 Show data context 368 Show data context 320 Show data context 278 Show data context 218 Show data context 109 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 0 Show data context 3 Show data context 3 Show data context 21 Show data context 23 Show data context 17 Show data context 10 Show data context 4 Show data context 0 Show data context
Defence
Professional Occupations 1 Show data context 0 Show data context 0 Show data context 3 Show data context 4 Show data context 5 Show data context 11 Show data context 16 Show data context 115 Show data context 152 Show data context 92 Show data context 64 Show data context 48 Show data context 16 Show data context
Domestic Services 0 Show data context 8 Show data context 48 Show data context 105 Show data context 125 Show data context 178 Show data context 152 Show data context 169 Show data context 648 Show data context 493 Show data context 316 Show data context 275 Show data context 196 Show data context 114 Show data context
Commercial Occupations 0 Show data context 0 Show data context 0 Show data context 2 Show data context 11 Show data context 8 Show data context 9 Show data context 9 Show data context 26 Show data context 31 Show data context 9 Show data context 2 Show data context 4 Show data context 0 Show data context
Transport 0 Show data context 0 Show data context 2 Show data context 1 Show data context 3 Show data context 2 Show data context 1 Show data context 0 Show data context 5 Show data context 2 Show data context 2 Show data context 2 Show data context 1 Show data context 1 Show data context
Agriculture 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 0 Show data context 3 Show data context 1 Show data context 1 Show data context 2 Show data context 2 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 1 Show data context 0 Show data context 0 Show data context
Jewelry, Instruments 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 1 Show data context 2 Show data context 0 Show data context 0 Show data context 2 Show data context 0 Show data context
Building 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 1 Show data context 3 Show data context 4 Show data context 3 Show data context 2 Show data context 2 Show data context 1 Show data context
Wood, Furniture
Brick, Cement 0 Show data context 0 Show data context 0 Show data context 0 Show data context 1 Show data context 1 Show data context 1 Show data context 0 Show data context 2 Show data context 4 Show data context 0 Show data context 4 Show data context 9 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 1 Show data context 1 Show data context 0 Show data context 3 Show data context 2 Show data context 2 Show data context 1 Show data context 0 Show data context 1 Show data context
Skins, Leather 0 Show data context 0 Show data context 5 Show data context 4 Show data context 6 Show data context 6 Show data context 6 Show data context 5 Show data context 13 Show data context 11 Show data context 4 Show data context 0 Show data context 0 Show data context 1 Show data context
Paper, Prints 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 2 Show data context 2 Show data context 0 Show data context 1 Show data context 0 Show data context
Textile Fabrics 0 Show data context 0 Show data context 0 Show data context 2 Show data context 5 Show data context 3 Show data context 5 Show data context 5 Show data context 28 Show data context 15 Show data context 9 Show data context 5 Show data context 1 Show data context 0 Show data context
Dress 0 Show data context 0 Show data context 57 Show data context 110 Show data context 106 Show data context 117 Show data context 137 Show data context 123 Show data context 412 Show data context 216 Show data context 83 Show data context 76 Show data context 38 Show data context 32 Show data context
Food, Drink 0 Show data context 0 Show data context 48 Show data context 86 Show data context 110 Show data context 93 Show data context 91 Show data context 82 Show data context 365 Show data context 319 Show data context 157 Show data context 72 Show data context 51 Show data context 40 Show data context
Gas, Water 0 Show data context 1 Show data context 4 Show data context 8 Show data context 20 Show data context 19 Show data context 32 Show data context 36 Show data context 153 Show data context 231 Show data context 197 Show data context 260 Show data context 214 Show data context 172 Show data context
Other & Undefined
Unoccupied 0 Show data context 1 Show data context 7 Show data context 17 Show data context 7 Show data context 17 Show data context 9 Show data context 18 Show data context 30 Show data context 36 Show data context 24 Show data context 20 Show data context 15 Show data context 19 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, Great Yarmouth 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/10107696/cube/OCC_ORD1911_AGESEX

Date accessed: 17th May 2024