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 23 Show data context 26 Show data context 8 Show data context 9 Show data context 8 Show data context 7 Show data context 85 Show data context 192 Show data context 155 Show data context 81 Show data context 19 Show data context 17 Show data context
Defence 0 Show data context 0 Show data context 0 Show data context 0 Show data context 0 Show data context 4 Show data context 3 Show data context 2 Show data context 10 Show data context 26 Show data context 40 Show data context 33 Show data context 60 Show data context 118 Show data context
Professional Occupations 5 Show data context 3 Show data context 19 Show data context 28 Show data context 32 Show data context 27 Show data context 25 Show data context 23 Show data context 122 Show data context 304 Show data context 362 Show data context 316 Show data context 182 Show data context 144 Show data context
Domestic Services 1 Show data context 2 Show data context 15 Show data context 26 Show data context 31 Show data context 55 Show data context 49 Show data context 49 Show data context 274 Show data context 417 Show data context 265 Show data context 187 Show data context 125 Show data context 54 Show data context
Commercial Occupations 0 Show data context 0 Show data context 11 Show data context 20 Show data context 29 Show data context 28 Show data context 39 Show data context 42 Show data context 193 Show data context 368 Show data context 265 Show data context 208 Show data context 121 Show data context 46 Show data context
Transport 17 Show data context 13 Show data context 141 Show data context 140 Show data context 142 Show data context 90 Show data context 62 Show data context 58 Show data context 340 Show data context 719 Show data context 487 Show data context 313 Show data context 166 Show data context 58 Show data context
Agriculture 0 Show data context 0 Show data context 4 Show data context 8 Show data context 10 Show data context 9 Show data context 10 Show data context 12 Show data context 50 Show data context 130 Show data context 136 Show data context 141 Show data context 130 Show data context 79 Show data context
Mines & Quarries
Metals, Machines 0 Show data context 0 Show data context 1 Show data context 0 Show data context 3 Show data context 0 Show data context 1 Show data context 2 Show data context 3 Show data context 20 Show data context 24 Show data context 14 Show data context 12 Show data context 9 Show data context
Jewelry, Instruments 0 Show data context 0 Show data context 8 Show data context 30 Show data context 43 Show data context 37 Show data context 40 Show data context 37 Show data context 152 Show data context 256 Show data context 184 Show data context 97 Show data context 47 Show data context 27 Show data context
Building 0 Show data context 0 Show data context 2 Show data context 2 Show data context 5 Show data context 11 Show data context 10 Show data context 12 Show data context 34 Show data context 73 Show data context 47 Show data context 32 Show data context 21 Show data context 9 Show data context
Wood, Furniture 0 Show data context 0 Show data context 18 Show data context 22 Show data context 52 Show data context 60 Show data context 55 Show data context 65 Show data context 330 Show data context 817 Show data context 579 Show data context 595 Show data context 347 Show data context 108 Show data context
Brick, Cement 0 Show data context 0 Show data context 6 Show data context 11 Show data context 9 Show data context 15 Show data context 12 Show data context 14 Show data context 80 Show data context 142 Show data context 124 Show data context 90 Show data context 64 Show data context 24 Show data context
Chemicals 0 Show data context 0 Show data context 2 Show data context 0 Show data context 0 Show data context 0 Show data context 1 Show data context 1 Show data context 5 Show data context 10 Show data context 11 Show data context 13 Show data context 7 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 3 Show data context 4 Show data context 5 Show data context 4 Show data context 21 Show data context 42 Show data context 34 Show data context 24 Show data context 11 Show data context 11 Show data context
Paper, Prints 0 Show data context 0 Show data context 0 Show data context 1 Show data context 3 Show data context 1 Show data context 2 Show data context 1 Show data context 6 Show data context 18 Show data context 15 Show data context 15 Show data context 5 Show data context 4 Show data context
Textile Fabrics 0 Show data context 0 Show data context 10 Show data context 10 Show data context 10 Show data context 11 Show data context 11 Show data context 14 Show data context 59 Show data context 98 Show data context 76 Show data context 47 Show data context 21 Show data context 11 Show data context
Dress 0 Show data context 0 Show data context 0 Show data context 3 Show data context 5 Show data context 6 Show data context 2 Show data context 1 Show data context 43 Show data context 50 Show data context 51 Show data context 39 Show data context 29 Show data context 20 Show data context
Food, Drink 1 Show data context 0 Show data context 9 Show data context 19 Show data context 28 Show data context 16 Show data context 20 Show data context 25 Show data context 131 Show data context 252 Show data context 170 Show data context 119 Show data context 64 Show data context 29 Show data context
Gas, Water 0 Show data context 0 Show data context 22 Show data context 51 Show data context 59 Show data context 98 Show data context 77 Show data context 112 Show data context 480 Show data context 713 Show data context 516 Show data context 353 Show data context 201 Show data context 99 Show data context
Other & Undefined 0 Show data context 0 Show data context 0 Show data context 0 Show data context 2 Show data context 4 Show data context 1 Show data context 1 Show data context 11 Show data context 30 Show data context 34 Show data context 33 Show data context 19 Show data context 11 Show data context
Unoccupied 11 Show data context 8 Show data context 4 Show data context 8 Show data context 10 Show data context 13 Show data context 19 Show data context 19 Show data context 95 Show data context 215 Show data context 178 Show data context 169 Show data context 103 Show data context 47 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 2 Show data context 2 Show data context 7 Show data context 11 Show data context 7 Show data context 24 Show data context 26 Show data context 18 Show data context 7 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 4 Show data context 3 Show data context 8 Show data context 22 Show data context 25 Show data context 223 Show data context 561 Show data context 408 Show data context 270 Show data context 117 Show data context 47 Show data context
Domestic Services 1 Show data context 5 Show data context 136 Show data context 231 Show data context 390 Show data context 438 Show data context 482 Show data context 547 Show data context 2,665 Show data context 2,582 Show data context 1,351 Show data context 830 Show data context 422 Show data context 132 Show data context
Commercial Occupations 0 Show data context 0 Show data context 4 Show data context 10 Show data context 13 Show data context 30 Show data context 39 Show data context 28 Show data context 126 Show data context 120 Show data context 41 Show data context 15 Show data context 4 Show data context 1 Show data context
Transport 0 Show data context 0 Show data context 2 Show data context 3 Show data context 0 Show data context 2 Show data context 1 Show data context 4 Show data context 8 Show data context 8 Show data context 1 Show data context 2 Show data context 5 Show data context 2 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 0 Show data context 2 Show data context 1 Show data context 0 Show data context 3 Show data context 1 Show data context 1 Show data context
Mines & Quarries
Metals, Machines 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 0 Show data context 1 Show data context 1 Show data context 4 Show data context 0 Show data context 1 Show data context 1 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 0 Show data context 1 Show data context 0 Show data context 2 Show data context 1 Show data context 0 Show data context 2 Show data context 1 Show data context 0 Show data context
Building 0 Show data context 0 Show data context 0 Show data context 2 Show data context 3 Show data context 2 Show data context 5 Show data context 4 Show data context 6 Show data context 15 Show data context 6 Show data context 3 Show data context 2 Show data context 2 Show data context
Wood, Furniture
Brick, Cement 0 Show data context 0 Show data context 2 Show data context 1 Show data context 3 Show data context 3 Show data context 2 Show data context 2 Show data context 17 Show data context 20 Show data context 8 Show data context 9 Show data context 10 Show data context 2 Show data context
Chemicals 0 Show data context 0 Show data context 1 Show data context 1 Show data context 0 Show data context 0 Show data context 0 Show data context 1 Show data context 4 Show data context 6 Show data context 5 Show data context 5 Show data context 0 Show data context 0 Show data context
Skins, Leather 0 Show data context 0 Show data context 0 Show data context 0 Show data context 0 Show data context 1 Show data context 4 Show data context 0 Show data context 3 Show data context 4 Show data context 4 Show data context 0 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 1 Show data context 0 Show data context 1 Show data context 1 Show data context 2 Show data context 3 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 7 Show data context 6 Show data context 11 Show data context 8 Show data context 7 Show data context 18 Show data context 32 Show data context 11 Show data context 11 Show data context 7 Show data context 2 Show data context
Dress 0 Show data context 0 Show data context 5 Show data context 16 Show data context 18 Show data context 18 Show data context 25 Show data context 32 Show data context 152 Show data context 135 Show data context 53 Show data context 20 Show data context 9 Show data context 10 Show data context
Food, Drink 0 Show data context 1 Show data context 34 Show data context 53 Show data context 81 Show data context 87 Show data context 72 Show data context 76 Show data context 384 Show data context 369 Show data context 211 Show data context 137 Show data context 75 Show data context 36 Show data context
Gas, Water 0 Show data context 1 Show data context 3 Show data context 13 Show data context 24 Show data context 19 Show data context 36 Show data context 36 Show data context 179 Show data context 344 Show data context 410 Show data context 460 Show data context 315 Show data context 146 Show data context
Other & Undefined
Unoccupied 0 Show data context 0 Show data context 5 Show data context 13 Show data context 11 Show data context 13 Show data context 11 Show data context 10 Show data context 57 Show data context 54 Show data context 23 Show data context 12 Show data context 8 Show data context 3 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, Bournemouth 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/10042264/cube/OCC_ORD1911_AGESEX

Date accessed: 25th April 2024