Persons Aged over 10 by Sex, Age and 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 15 Show data context 11 Show data context 8 Show data context 8 Show data context 5 Show data context 51 Show data context 153 Show data context 142 Show data context 79 Show data context 29 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 2 Show data context 1 Show data context 13 Show data context 20 Show data context 31 Show data context 19 Show data context 23 Show data context 48 Show data context
Professional Occupations 0 Show data context 0 Show data context 5 Show data context 12 Show data context 18 Show data context 21 Show data context 26 Show data context 20 Show data context 99 Show data context 245 Show data context 230 Show data context 232 Show data context 160 Show data context 99 Show data context
Domestic Services 1 Show data context 1 Show data context 13 Show data context 13 Show data context 28 Show data context 24 Show data context 38 Show data context 22 Show data context 154 Show data context 211 Show data context 174 Show data context 142 Show data context 86 Show data context 50 Show data context
Commercial Occupations 0 Show data context 0 Show data context 6 Show data context 19 Show data context 25 Show data context 17 Show data context 24 Show data context 29 Show data context 90 Show data context 178 Show data context 185 Show data context 121 Show data context 72 Show data context 40 Show data context
Transport 6 Show data context 14 Show data context 102 Show data context 129 Show data context 107 Show data context 79 Show data context 75 Show data context 56 Show data context 254 Show data context 492 Show data context 446 Show data context 352 Show data context 200 Show data context 70 Show data context
Agriculture 0 Show data context 0 Show data context 8 Show data context 9 Show data context 18 Show data context 16 Show data context 11 Show data context 14 Show data context 79 Show data context 143 Show data context 131 Show data context 126 Show data context 126 Show data context 87 Show data context
Mines and Quarries
Metals, Machines 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 3 Show data context 3 Show data context 8 Show data context 19 Show data context 14 Show data context 11 Show data context 11 Show data context
Jewelry, Instruments 0 Show data context 0 Show data context 6 Show data context 16 Show data context 16 Show data context 21 Show data context 19 Show data context 15 Show data context 67 Show data context 140 Show data context 115 Show data context 80 Show data context 72 Show data context 30 Show data context
Building 0 Show data context 0 Show data context 2 Show data context 8 Show data context 7 Show data context 8 Show data context 5 Show data context 5 Show data context 34 Show data context 43 Show data context 36 Show data context 28 Show data context 18 Show data context 11 Show data context
Wood, Furniture 0 Show data context 0 Show data context 4 Show data context 13 Show data context 20 Show data context 26 Show data context 21 Show data context 28 Show data context 143 Show data context 441 Show data context 426 Show data context 440 Show data context 312 Show data context 138 Show data context
Brick, Cement 0 Show data context 0 Show data context 2 Show data context 7 Show data context 11 Show data context 8 Show data context 11 Show data context 10 Show data context 35 Show data context 80 Show data context 79 Show data context 77 Show data context 49 Show data context 29 Show data context
Chemicals 0 Show data context 0 Show data context 0 Show data context 1 Show data context 2 Show data context 1 Show data context 1 Show data context 0 Show data context 5 Show data context 14 Show data context 7 Show data context 17 Show data context 7 Show data context 5 Show data context
Skins, Leather 0 Show data context 0 Show data context 0 Show data context 1 Show data context 2 Show data context 0 Show data context 2 Show data context 3 Show data context 11 Show data context 29 Show data context 22 Show data context 24 Show data context 12 Show data context 6 Show data context
Paper, Prints 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 4 Show data context 9 Show data context 4 Show data context 5 Show data context 7 Show data context 4 Show data context
Textile Fabrics 0 Show data context 0 Show data context 12 Show data context 12 Show data context 22 Show data context 16 Show data context 19 Show data context 23 Show data context 41 Show data context 72 Show data context 68 Show data context 44 Show data context 28 Show data context 3 Show data context
Dress 0 Show data context 0 Show data context 3 Show data context 7 Show data context 9 Show data context 9 Show data context 7 Show data context 2 Show data context 27 Show data context 50 Show data context 38 Show data context 17 Show data context 15 Show data context 12 Show data context
Food, Drink 0 Show data context 0 Show data context 7 Show data context 19 Show data context 15 Show data context 21 Show data context 20 Show data context 31 Show data context 81 Show data context 150 Show data context 136 Show data context 84 Show data context 51 Show data context 42 Show data context
Gas, Water 0 Show data context 2 Show data context 22 Show data context 54 Show data context 55 Show data context 77 Show data context 90 Show data context 85 Show data context 338 Show data context 574 Show data context 491 Show data context 392 Show data context 201 Show data context 105 Show data context
Other and Undefined 0 Show data context 0 Show data context 0 Show data context 0 Show data context 2 Show data context 5 Show data context 3 Show data context 1 Show data context 19 Show data context 38 Show data context 87 Show data context 45 Show data context 33 Show data context 15 Show data context
Unoccupied 13 Show data context 12 Show data context 18 Show data context 21 Show data context 21 Show data context 24 Show data context 37 Show data context 30 Show data context 114 Show data context 253 Show data context 246 Show data context 191 Show data context 148 Show data context 65 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 1 Show data context 4 Show data context 4 Show data context 16 Show data context 21 Show data context 27 Show data context 13 Show data context 4 Show data context 0 Show data context
Defence
Professional Occupations 0 Show data context 0 Show data context 1 Show data context 5 Show data context 11 Show data context 22 Show data context 13 Show data context 37 Show data context 161 Show data context 400 Show data context 342 Show data context 207 Show data context 126 Show data context 70 Show data context
Domestic Services 1 Show data context 1 Show data context 97 Show data context 178 Show data context 252 Show data context 294 Show data context 307 Show data context 338 Show data context 1,428 Show data context 1,439 Show data context 994 Show data context 760 Show data context 415 Show data context 176 Show data context
Commercial Occupations 0 Show data context 0 Show data context 3 Show data context 7 Show data context 6 Show data context 18 Show data context 16 Show data context 12 Show data context 58 Show data context 69 Show data context 24 Show data context 9 Show data context 3 Show data context 0 Show data context
Transport 0 Show data context 0 Show data context 1 Show data context 2 Show data context 2 Show data context 1 Show data context 2 Show data context 2 Show data context 5 Show data context 2 Show data context 3 Show data context 3 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 2 Show data context 0 Show data context 0 Show data context 1 Show data context 1 Show data context 1 Show data context 3 Show data context 3 Show data context 1 Show data context 1 Show data context
Mines and 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 1 Show data context 0 Show data context 0 Show data context 0 Show data context 1 Show data context
Jewelry, Instruments 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 0 Show data context 7 Show data context 0 Show data context 1 Show data context 1 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 1 Show data context 1 Show data context 0 Show data context 1 Show data context 6 Show data context 2 Show data context 2 Show data context 1 Show data context 3 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 1 Show data context 0 Show data context 0 Show data context
Brick, Cement 0 Show data context 0 Show data context 2 Show data context 2 Show data context 0 Show data context 2 Show data context 3 Show data context 0 Show data context 6 Show data context 4 Show data context 6 Show data context 7 Show data context 6 Show data context 3 Show data context
Chemicals 0 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 0 Show data context 2 Show data context 5 Show data context 1 Show data context 0 Show data context 1 Show data context 0 Show data context
Skins, Leather 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 3 Show data context 4 Show data context 2 Show data context 1 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 0 Show data context 0 Show data context 0 Show data context 2 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 1 Show data context 2 Show data context
Textile Fabrics 0 Show data context 0 Show data context 4 Show data context 4 Show data context 15 Show data context 6 Show data context 10 Show data context 9 Show data context 36 Show data context 37 Show data context 16 Show data context 9 Show data context 5 Show data context 4 Show data context
Dress 0 Show data context 0 Show data context 8 Show data context 10 Show data context 13 Show data context 15 Show data context 18 Show data context 22 Show data context 83 Show data context 79 Show data context 36 Show data context 24 Show data context 4 Show data context 3 Show data context
Food, Drink 0 Show data context 0 Show data context 38 Show data context 56 Show data context 72 Show data context 67 Show data context 58 Show data context 56 Show data context 269 Show data context 246 Show data context 199 Show data context 152 Show data context 91 Show data context 69 Show data context
Gas, Water 0 Show data context 0 Show data context 4 Show data context 11 Show data context 20 Show data context 25 Show data context 26 Show data context 24 Show data context 91 Show data context 225 Show data context 309 Show data context 311 Show data context 281 Show data context 155 Show data context
Other and Undefined
Unoccupied 0 Show data context 0 Show data context 3 Show data context 6 Show data context 6 Show data context 12 Show data context 10 Show data context 1 Show data context 40 Show data context 55 Show data context 44 Show data context 28 Show data context 26 Show data context 16 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, Hastings CB/MB through time | Industry Statistics | Persons Aged over 10 by Sex, Age and 1911 Occupational Order, A Vision of Britain through Time.

URL: http://www.visionofbritain.org.uk/unit/10061064/cube/OCC_ORD1911_AGESEX

Date accessed: 16th October 2021