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 1 Show data context 23 Show data context 22 Show data context 15 Show data context 10 Show data context 11 Show data context 13 Show data context 91 Show data context 151 Show data context 162 Show data context 78 Show data context 32 Show data context 12 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 3 Show data context 4 Show data context 13 Show data context 9 Show data context 14 Show data context 2 Show data context 0 Show data context 0 Show data context
Professional Occupations 0 Show data context 1 Show data context 7 Show data context 21 Show data context 22 Show data context 17 Show data context 18 Show data context 24 Show data context 105 Show data context 285 Show data context 204 Show data context 159 Show data context 60 Show data context 32 Show data context
Domestic Services 0 Show data context 0 Show data context 7 Show data context 12 Show data context 8 Show data context 9 Show data context 7 Show data context 14 Show data context 42 Show data context 79 Show data context 66 Show data context 49 Show data context 33 Show data context 19 Show data context
Commercial Occupations 0 Show data context 1 Show data context 24 Show data context 36 Show data context 62 Show data context 58 Show data context 74 Show data context 60 Show data context 286 Show data context 471 Show data context 329 Show data context 218 Show data context 117 Show data context 40 Show data context
Transport 20 Show data context 29 Show data context 206 Show data context 232 Show data context 200 Show data context 200 Show data context 217 Show data context 192 Show data context 1,123 Show data context 2,206 Show data context 1,609 Show data context 1,142 Show data context 572 Show data context 184 Show data context
Agriculture 0 Show data context 0 Show data context 3 Show data context 4 Show data context 9 Show data context 4 Show data context 5 Show data context 3 Show data context 18 Show data context 30 Show data context 42 Show data context 38 Show data context 45 Show data context 31 Show data context
Mines & Quarries
Metals, Machines 0 Show data context 0 Show data context 2 Show data context 7 Show data context 5 Show data context 6 Show data context 16 Show data context 11 Show data context 72 Show data context 127 Show data context 102 Show data context 65 Show data context 37 Show data context 21 Show data context
Jewelry, Instruments 0 Show data context 0 Show data context 59 Show data context 103 Show data context 154 Show data context 160 Show data context 198 Show data context 209 Show data context 897 Show data context 1,592 Show data context 1,164 Show data context 758 Show data context 329 Show data context 115 Show data context
Building 0 Show data context 0 Show data context 2 Show data context 6 Show data context 4 Show data context 9 Show data context 2 Show data context 3 Show data context 27 Show data context 45 Show data context 30 Show data context 10 Show data context 10 Show data context 4 Show data context
Wood, Furniture 0 Show data context 1 Show data context 18 Show data context 36 Show data context 47 Show data context 54 Show data context 71 Show data context 54 Show data context 312 Show data context 782 Show data context 622 Show data context 485 Show data context 277 Show data context 100 Show data context
Brick, Cement 0 Show data context 0 Show data context 2 Show data context 6 Show data context 14 Show data context 12 Show data context 11 Show data context 18 Show data context 54 Show data context 130 Show data context 120 Show data context 100 Show data context 61 Show data context 15 Show data context
Chemicals 0 Show data context 1 Show data context 9 Show data context 18 Show data context 15 Show data context 15 Show data context 10 Show data context 15 Show data context 35 Show data context 76 Show data context 59 Show data context 41 Show data context 17 Show data context 8 Show data context
Skins, Leather 0 Show data context 0 Show data context 1 Show data context 2 Show data context 6 Show data context 4 Show data context 4 Show data context 5 Show data context 29 Show data context 60 Show data context 48 Show data context 35 Show data context 15 Show data context 8 Show data context
Paper, Prints 0 Show data context 0 Show data context 0 Show data context 2 Show data context 2 Show data context 0 Show data context 7 Show data context 0 Show data context 8 Show data context 15 Show data context 8 Show data context 19 Show data context 5 Show data context 3 Show data context
Textile Fabrics 0 Show data context 1 Show data context 17 Show data context 14 Show data context 10 Show data context 23 Show data context 17 Show data context 11 Show data context 59 Show data context 97 Show data context 68 Show data context 37 Show data context 12 Show data context 2 Show data context
Dress 0 Show data context 0 Show data context 4 Show data context 3 Show data context 6 Show data context 5 Show data context 6 Show data context 2 Show data context 27 Show data context 44 Show data context 28 Show data context 17 Show data context 10 Show data context 3 Show data context
Food, Drink 1 Show data context 2 Show data context 25 Show data context 20 Show data context 31 Show data context 30 Show data context 30 Show data context 30 Show data context 115 Show data context 203 Show data context 135 Show data context 76 Show data context 62 Show data context 29 Show data context
Gas, Water 0 Show data context 3 Show data context 44 Show data context 64 Show data context 82 Show data context 74 Show data context 74 Show data context 82 Show data context 271 Show data context 459 Show data context 401 Show data context 246 Show data context 151 Show data context 59 Show data context
Other & Undefined 0 Show data context 0 Show data context 1 Show data context 4 Show data context 3 Show data context 2 Show data context 8 Show data context 7 Show data context 18 Show data context 63 Show data context 95 Show data context 65 Show data context 30 Show data context 13 Show data context
Unoccupied 9 Show data context 10 Show data context 19 Show data context 39 Show data context 44 Show data context 36 Show data context 44 Show data context 48 Show data context 173 Show data context 383 Show data context 346 Show data context 323 Show data context 148 Show data context 72 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 1 Show data context 1 Show data context 4 Show data context 4 Show data context 5 Show data context 38 Show data context 59 Show data context 17 Show data context 5 Show data context 3 Show data context 0 Show data context
Defence
Professional Occupations 0 Show data context 0 Show data context 1 Show data context 3 Show data context 11 Show data context 20 Show data context 21 Show data context 28 Show data context 198 Show data context 255 Show data context 132 Show data context 53 Show data context 30 Show data context 15 Show data context
Domestic Services 1 Show data context 7 Show data context 81 Show data context 177 Show data context 231 Show data context 258 Show data context 288 Show data context 286 Show data context 993 Show data context 590 Show data context 245 Show data context 171 Show data context 88 Show data context 45 Show data context
Commercial Occupations 0 Show data context 0 Show data context 6 Show data context 12 Show data context 9 Show data context 18 Show data context 12 Show data context 16 Show data context 66 Show data context 41 Show data context 13 Show data context 4 Show data context 2 Show data context 1 Show data context
Transport 0 Show data context 0 Show data context 1 Show data context 4 Show data context 2 Show data context 1 Show data context 5 Show data context 1 Show data context 15 Show data context 13 Show data context 2 Show data context 4 Show data context 2 Show data context 1 Show data context
Agriculture 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 1 Show data context 1 Show data context 1 Show data context 1 Show data context 0 Show data context 0 Show data context 1 Show data context
Mines & Quarries
Metals, Machines 0 Show data context 0 Show data context 0 Show data context 0 Show data context 1 Show data context 1 Show data context 2 Show data context 0 Show data context 9 Show data context 1 Show data context 3 Show data context 1 Show data context 0 Show data context 1 Show data context
Jewelry, Instruments 0 Show data context 0 Show data context 4 Show data context 2 Show data context 2 Show data context 3 Show data context 6 Show data context 3 Show data context 10 Show data context 8 Show data context 5 Show data context 6 Show data context 0 Show data context 0 Show data context
Building 0 Show data context 0 Show data context 2 Show data context 2 Show data context 2 Show data context 4 Show data context 0 Show data context 1 Show data context 11 Show data context 5 Show data context 2 Show data context 1 Show data context 2 Show data context 0 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 2 Show data context 0 Show data context 13 Show data context 11 Show data context 5 Show data context 7 Show data context 4 Show data context 1 Show data context
Chemicals 0 Show data context 0 Show data context 0 Show data context 2 Show data context 0 Show data context 1 Show data context 4 Show data context 1 Show data context 6 Show data context 5 Show data context 1 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 2 Show data context 2 Show data context 2 Show data context 4 Show data context 3 Show data context 3 Show data context 9 Show data context 1 Show data context 0 Show data context 1 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 0 Show data context 1 Show data context 0 Show data context 0 Show data context 1 Show data context 0 Show data context 0 Show data context
Textile Fabrics 0 Show data context 0 Show data context 5 Show data context 13 Show data context 16 Show data context 11 Show data context 12 Show data context 11 Show data context 38 Show data context 20 Show data context 5 Show data context 4 Show data context 2 Show data context 2 Show data context
Dress 0 Show data context 0 Show data context 10 Show data context 17 Show data context 12 Show data context 21 Show data context 22 Show data context 20 Show data context 97 Show data context 81 Show data context 22 Show data context 14 Show data context 6 Show data context 3 Show data context
Food, Drink 0 Show data context 0 Show data context 57 Show data context 95 Show data context 123 Show data context 103 Show data context 115 Show data context 99 Show data context 354 Show data context 236 Show data context 104 Show data context 71 Show data context 41 Show data context 23 Show data context
Gas, Water 0 Show data context 0 Show data context 27 Show data context 46 Show data context 64 Show data context 69 Show data context 60 Show data context 64 Show data context 243 Show data context 242 Show data context 157 Show data context 116 Show data context 91 Show data context 37 Show data context
Other & Undefined
Unoccupied 0 Show data context 1 Show data context 5 Show data context 10 Show data context 11 Show data context 13 Show data context 8 Show data context 12 Show data context 26 Show data context 40 Show data context 43 Show data context 41 Show data context 26 Show data context 10 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, Newport 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/10287960/cube/OCC_ORD1911_AGESEX

Date accessed: 05th November 2024