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 3 Show data context 10 Show data context 11 Show data context 8 Show data context 1 Show data context 7 Show data context 5 Show data context 55 Show data context 141 Show data context 100 Show data context 79 Show data context 27 Show data context 19 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 1 Show data context 1 Show data context 10 Show data context 14 Show data context 12 Show data context 11 Show data context 1 Show data context 4 Show data context
Professional Occupations 1 Show data context 2 Show data context 3 Show data context 6 Show data context 12 Show data context 14 Show data context 16 Show data context 15 Show data context 96 Show data context 193 Show data context 204 Show data context 190 Show data context 115 Show data context 56 Show data context
Domestic Services 0 Show data context 10 Show data context 20 Show data context 40 Show data context 41 Show data context 54 Show data context 42 Show data context 50 Show data context 242 Show data context 442 Show data context 328 Show data context 223 Show data context 125 Show data context 88 Show data context
Commercial Occupations 0 Show data context 1 Show data context 4 Show data context 22 Show data context 18 Show data context 20 Show data context 20 Show data context 21 Show data context 123 Show data context 270 Show data context 205 Show data context 125 Show data context 66 Show data context 21 Show data context
Transport 19 Show data context 99 Show data context 155 Show data context 120 Show data context 54 Show data context 52 Show data context 60 Show data context 52 Show data context 330 Show data context 754 Show data context 633 Show data context 438 Show data context 266 Show data context 59 Show data context
Agriculture 12 Show data context 229 Show data context 405 Show data context 457 Show data context 492 Show data context 539 Show data context 465 Show data context 417 Show data context 1,622 Show data context 2,704 Show data context 2,284 Show data context 2,162 Show data context 1,549 Show data context 1,297 Show data context
Mines and Quarries
Metals, Machines 0 Show data context 0 Show data context 2 Show data context 2 Show data context 2 Show data context 3 Show data context 5 Show data context 4 Show data context 66 Show data context 167 Show data context 144 Show data context 124 Show data context 62 Show data context 23 Show data context
Jewelry, Instruments 0 Show data context 9 Show data context 44 Show data context 88 Show data context 192 Show data context 171 Show data context 202 Show data context 181 Show data context 764 Show data context 1,526 Show data context 1,041 Show data context 647 Show data context 394 Show data context 185 Show data context
Building 0 Show data context 0 Show data context 0 Show data context 0 Show data context 0 Show data context 2 Show data context 2 Show data context 1 Show data context 13 Show data context 22 Show data context 18 Show data context 19 Show data context 7 Show data context 6 Show data context
Wood, Furniture 0 Show data context 4 Show data context 12 Show data context 24 Show data context 36 Show data context 40 Show data context 41 Show data context 38 Show data context 279 Show data context 673 Show data context 413 Show data context 447 Show data context 333 Show data context 286 Show data context
Brick, Cement 0 Show data context 1 Show data context 9 Show data context 3 Show data context 5 Show data context 13 Show data context 13 Show data context 5 Show data context 51 Show data context 104 Show data context 95 Show data context 74 Show data context 54 Show data context 29 Show data context
Chemicals 0 Show data context 0 Show data context 7 Show data context 6 Show data context 8 Show data context 11 Show data context 6 Show data context 5 Show data context 29 Show data context 60 Show data context 35 Show data context 23 Show data context 19 Show data context 8 Show data context
Skins, Leather 0 Show data context 0 Show data context 0 Show data context 3 Show data context 4 Show data context 9 Show data context 4 Show data context 4 Show data context 11 Show data context 32 Show data context 30 Show data context 18 Show data context 7 Show data context 5 Show data context
Paper, Prints 0 Show data context 2 Show data context 4 Show data context 11 Show data context 6 Show data context 9 Show data context 7 Show data context 5 Show data context 35 Show data context 79 Show data context 86 Show data context 57 Show data context 39 Show data context 18 Show data context
Textile Fabrics 0 Show data context 3 Show data context 8 Show data context 10 Show data context 5 Show data context 13 Show data context 10 Show data context 7 Show data context 29 Show data context 55 Show data context 44 Show data context 25 Show data context 19 Show data context 7 Show data context
Dress 0 Show data context 1 Show data context 2 Show data context 5 Show data context 6 Show data context 11 Show data context 9 Show data context 5 Show data context 32 Show data context 38 Show data context 31 Show data context 36 Show data context 19 Show data context 4 Show data context
Food, Drink 2 Show data context 4 Show data context 9 Show data context 13 Show data context 13 Show data context 20 Show data context 16 Show data context 20 Show data context 63 Show data context 151 Show data context 125 Show data context 104 Show data context 98 Show data context 80 Show data context
Gas, Water 0 Show data context 7 Show data context 38 Show data context 73 Show data context 86 Show data context 87 Show data context 96 Show data context 92 Show data context 372 Show data context 627 Show data context 572 Show data context 377 Show data context 259 Show data context 147 Show data context
Other and Undefined 0 Show data context 0 Show data context 0 Show data context 0 Show data context 1 Show data context 2 Show data context 1 Show data context 3 Show data context 20 Show data context 51 Show data context 41 Show data context 31 Show data context 30 Show data context 10 Show data context
Unoccupied 12 Show data context 11 Show data context 18 Show data context 19 Show data context 16 Show data context 15 Show data context 19 Show data context 12 Show data context 116 Show data context 275 Show data context 268 Show data context 222 Show data context 177 Show data context 142 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 5 Show data context 3 Show data context 19 Show data context 32 Show data context 26 Show data context 18 Show data context 15 Show data context 4 Show data context
Defence
Professional Occupations 0 Show data context 1 Show data context 10 Show data context 20 Show data context 18 Show data context 21 Show data context 43 Show data context 47 Show data context 233 Show data context 288 Show data context 173 Show data context 132 Show data context 86 Show data context 29 Show data context
Domestic Services 2 Show data context 72 Show data context 243 Show data context 358 Show data context 406 Show data context 423 Show data context 470 Show data context 341 Show data context 1,317 Show data context 891 Show data context 438 Show data context 380 Show data context 271 Show data context 178 Show data context
Commercial Occupations 0 Show data context 0 Show data context 0 Show data context 1 Show data context 7 Show data context 6 Show data context 5 Show data context 7 Show data context 18 Show data context 28 Show data context 5 Show data context 8 Show data context 0 Show data context 2 Show data context
Transport 0 Show data context 2 Show data context 3 Show data context 1 Show data context 0 Show data context 1 Show data context 1 Show data context 0 Show data context 2 Show data context 3 Show data context 8 Show data context 6 Show data context 5 Show data context 0 Show data context
Agriculture 2 Show data context 4 Show data context 10 Show data context 26 Show data context 39 Show data context 38 Show data context 23 Show data context 31 Show data context 129 Show data context 136 Show data context 70 Show data context 46 Show data context 56 Show data context 73 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 1 Show data context 0 Show data context 1 Show data context 0 Show data context 1 Show data context 0 Show data context
Jewelry, Instruments 0 Show data context 0 Show data context 2 Show data context 3 Show data context 3 Show data context 0 Show data context 1 Show data context 0 Show data context 6 Show data context 4 Show data context 4 Show data context 1 Show data context 2 Show data context 4 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 2 Show data context 0 Show data context 0 Show data context 2 Show data context 4 Show data context 1 Show data context 4 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 0 Show data context 0 Show data context 3 Show data context 0 Show data context
Brick, Cement 0 Show data context 2 Show data context 6 Show data context 13 Show data context 11 Show data context 8 Show data context 6 Show data context 7 Show data context 18 Show data context 10 Show data context 4 Show data context 5 Show data context 8 Show data context 2 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 2 Show data context 1 Show data context 7 Show data context 0 Show data context 0 Show data context 0 Show data context 1 Show data context 3 Show data context
Skins, Leather 0 Show data context 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 1 Show data context 1 Show data context 0 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 3 Show data context 1 Show data context 0 Show data context 6 Show data context 3 Show data context 3 Show data context 0 Show data context 3 Show data context 1 Show data context
Textile Fabrics 0 Show data context 0 Show data context 1 Show data context 4 Show data context 2 Show data context 8 Show data context 7 Show data context 7 Show data context 17 Show data context 6 Show data context 8 Show data context 3 Show data context 4 Show data context 2 Show data context
Dress 1 Show data context 0 Show data context 4 Show data context 13 Show data context 10 Show data context 13 Show data context 5 Show data context 14 Show data context 52 Show data context 37 Show data context 20 Show data context 19 Show data context 11 Show data context 5 Show data context
Food, Drink 0 Show data context 7 Show data context 35 Show data context 67 Show data context 71 Show data context 77 Show data context 69 Show data context 63 Show data context 256 Show data context 250 Show data context 156 Show data context 104 Show data context 70 Show data context 60 Show data context
Gas, Water 0 Show data context 0 Show data context 7 Show data context 18 Show data context 20 Show data context 32 Show data context 22 Show data context 28 Show data context 133 Show data context 192 Show data context 181 Show data context 165 Show data context 142 Show data context 107 Show data context
Other and Undefined
Unoccupied 0 Show data context 1 Show data context 1 Show data context 6 Show data context 3 Show data context 8 Show data context 3 Show data context 5 Show data context 18 Show data context 30 Show data context 26 Show data context 23 Show data context 12 Show data context 8 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, Parts of Kesteven AdmC 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/10134821/cube/OCC_ORD1911_AGESEX

Date accessed: 20th January 2020