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 33 Show data context 47 Show data context 24 Show data context 22 Show data context 29 Show data context 28 Show data context 197 Show data context 518 Show data context 441 Show data context 235 Show data context 43 Show data context 14 Show data context
Defence 0 Show data context 0 Show data context 0 Show data context 1 Show data context 2 Show data context 1 Show data context 4 Show data context 8 Show data context 26 Show data context 34 Show data context 8 Show data context 2 Show data context 2 Show data context 3 Show data context
Professional Occupations 0 Show data context 0 Show data context 14 Show data context 19 Show data context 18 Show data context 39 Show data context 39 Show data context 39 Show data context 198 Show data context 448 Show data context 363 Show data context 278 Show data context 126 Show data context 56 Show data context
Domestic Services 1 Show data context 1 Show data context 8 Show data context 10 Show data context 12 Show data context 13 Show data context 11 Show data context 10 Show data context 65 Show data context 193 Show data context 145 Show data context 97 Show data context 68 Show data context 36 Show data context
Commercial Occupations 0 Show data context 2 Show data context 72 Show data context 144 Show data context 196 Show data context 215 Show data context 207 Show data context 232 Show data context 903 Show data context 1,349 Show data context 833 Show data context 523 Show data context 308 Show data context 115 Show data context
Transport 35 Show data context 34 Show data context 326 Show data context 353 Show data context 241 Show data context 166 Show data context 153 Show data context 129 Show data context 625 Show data context 1,546 Show data context 1,223 Show data context 666 Show data context 310 Show data context 74 Show data context
Agriculture 0 Show data context 0 Show data context 3 Show data context 0 Show data context 8 Show data context 9 Show data context 9 Show data context 6 Show data context 21 Show data context 75 Show data context 68 Show data context 64 Show data context 70 Show data context 47 Show data context
Mines & Quarries
Metals, Machines 0 Show data context 0 Show data context 0 Show data context 2 Show data context 3 Show data context 3 Show data context 2 Show data context 1 Show data context 13 Show data context 33 Show data context 29 Show data context 24 Show data context 8 Show data context 3 Show data context
Jewelry, Instruments 0 Show data context 1 Show data context 48 Show data context 78 Show data context 93 Show data context 104 Show data context 116 Show data context 102 Show data context 479 Show data context 938 Show data context 607 Show data context 349 Show data context 219 Show data context 76 Show data context
Building 0 Show data context 1 Show data context 14 Show data context 29 Show data context 29 Show data context 39 Show data context 41 Show data context 26 Show data context 151 Show data context 454 Show data context 305 Show data context 221 Show data context 128 Show data context 47 Show data context
Wood, Furniture 0 Show data context 0 Show data context 8 Show data context 20 Show data context 46 Show data context 63 Show data context 93 Show data context 73 Show data context 499 Show data context 1,594 Show data context 1,434 Show data context 1,071 Show data context 703 Show data context 221 Show data context
Brick, Cement 0 Show data context 2 Show data context 57 Show data context 69 Show data context 76 Show data context 75 Show data context 95 Show data context 77 Show data context 332 Show data context 693 Show data context 448 Show data context 328 Show data context 207 Show data context 73 Show data context
Chemicals 0 Show data context 0 Show data context 0 Show data context 2 Show data context 2 Show data context 5 Show data context 5 Show data context 6 Show data context 35 Show data context 53 Show data context 45 Show data context 28 Show data context 28 Show data context 10 Show data context
Skins, Leather 0 Show data context 0 Show data context 8 Show data context 25 Show data context 19 Show data context 20 Show data context 17 Show data context 26 Show data context 89 Show data context 170 Show data context 132 Show data context 85 Show data context 63 Show data context 17 Show data context
Paper, Prints 0 Show data context 0 Show data context 4 Show data context 9 Show data context 8 Show data context 13 Show data context 13 Show data context 7 Show data context 48 Show data context 106 Show data context 108 Show data context 76 Show data context 46 Show data context 20 Show data context
Textile Fabrics 0 Show data context 0 Show data context 44 Show data context 68 Show data context 81 Show data context 85 Show data context 63 Show data context 67 Show data context 315 Show data context 670 Show data context 563 Show data context 322 Show data context 178 Show data context 60 Show data context
Dress 0 Show data context 0 Show data context 5 Show data context 6 Show data context 15 Show data context 20 Show data context 18 Show data context 19 Show data context 92 Show data context 161 Show data context 111 Show data context 73 Show data context 41 Show data context 15 Show data context
Food, Drink 0 Show data context 2 Show data context 31 Show data context 42 Show data context 66 Show data context 84 Show data context 58 Show data context 54 Show data context 255 Show data context 482 Show data context 391 Show data context 238 Show data context 154 Show data context 93 Show data context
Gas, Water 0 Show data context 0 Show data context 56 Show data context 114 Show data context 136 Show data context 140 Show data context 149 Show data context 159 Show data context 660 Show data context 1,215 Show data context 911 Show data context 512 Show data context 279 Show data context 104 Show data context
Other & Undefined 0 Show data context 0 Show data context 3 Show data context 9 Show data context 6 Show data context 6 Show data context 7 Show data context 6 Show data context 51 Show data context 146 Show data context 127 Show data context 73 Show data context 33 Show data context 17 Show data context
Unoccupied 20 Show data context 25 Show data context 32 Show data context 46 Show data context 63 Show data context 55 Show data context 61 Show data context 48 Show data context 255 Show data context 487 Show data context 454 Show data context 297 Show data context 183 Show data context 87 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 8 Show data context 6 Show data context 19 Show data context 35 Show data context 44 Show data context 22 Show data context 8 Show data context 3 Show data context 1 Show data context
Defence
Professional Occupations 0 Show data context 0 Show data context 3 Show data context 9 Show data context 17 Show data context 15 Show data context 23 Show data context 18 Show data context 242 Show data context 426 Show data context 225 Show data context 167 Show data context 99 Show data context 35 Show data context
Domestic Services 0 Show data context 3 Show data context 114 Show data context 186 Show data context 188 Show data context 208 Show data context 263 Show data context 209 Show data context 820 Show data context 756 Show data context 569 Show data context 453 Show data context 267 Show data context 105 Show data context
Commercial Occupations 0 Show data context 0 Show data context 18 Show data context 49 Show data context 79 Show data context 97 Show data context 131 Show data context 104 Show data context 433 Show data context 324 Show data context 63 Show data context 17 Show data context 8 Show data context 2 Show data context
Transport 2 Show data context 1 Show data context 16 Show data context 6 Show data context 5 Show data context 10 Show data context 14 Show data context 11 Show data context 49 Show data context 22 Show data context 5 Show data context 2 Show data context 4 Show data context 0 Show data context
Agriculture 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 1 Show data context 2 Show data context 0 Show data context 0 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 2 Show data context 0 Show data context 1 Show data context 3 Show data context 1 Show data context 0 Show data context
Jewelry, Instruments 0 Show data context 0 Show data context 3 Show data context 7 Show data context 12 Show data context 18 Show data context 19 Show data context 12 Show data context 61 Show data context 19 Show data context 9 Show data context 4 Show data context 2 Show data context 1 Show data context
Building 0 Show data context 0 Show data context 4 Show data context 9 Show data context 8 Show data context 10 Show data context 10 Show data context 9 Show data context 31 Show data context 21 Show data context 9 Show data context 5 Show data context 2 Show data context 1 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 1 Show data context 19 Show data context 17 Show data context 17 Show data context 16 Show data context 14 Show data context 9 Show data context 70 Show data context 36 Show data context 14 Show data context 8 Show data context 8 Show data context 3 Show data context
Chemicals 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 3 Show data context 7 Show data context 5 Show data context 2 Show data context 0 Show data context 0 Show data context 0 Show data context
Skins, Leather 0 Show data context 0 Show data context 6 Show data context 15 Show data context 13 Show data context 15 Show data context 20 Show data context 28 Show data context 81 Show data context 69 Show data context 22 Show data context 23 Show data context 22 Show data context 4 Show data context
Paper, Prints 0 Show data context 0 Show data context 6 Show data context 12 Show data context 10 Show data context 15 Show data context 11 Show data context 10 Show data context 45 Show data context 25 Show data context 17 Show data context 13 Show data context 9 Show data context 4 Show data context
Textile Fabrics 0 Show data context 1 Show data context 60 Show data context 113 Show data context 109 Show data context 102 Show data context 86 Show data context 83 Show data context 311 Show data context 185 Show data context 61 Show data context 39 Show data context 18 Show data context 6 Show data context
Dress 0 Show data context 0 Show data context 26 Show data context 38 Show data context 45 Show data context 49 Show data context 45 Show data context 34 Show data context 170 Show data context 111 Show data context 75 Show data context 30 Show data context 16 Show data context 7 Show data context
Food, Drink 0 Show data context 6 Show data context 171 Show data context 281 Show data context 306 Show data context 287 Show data context 302 Show data context 291 Show data context 1,203 Show data context 915 Show data context 413 Show data context 276 Show data context 150 Show data context 80 Show data context
Gas, Water 0 Show data context 1 Show data context 21 Show data context 69 Show data context 72 Show data context 97 Show data context 107 Show data context 111 Show data context 476 Show data context 396 Show data context 223 Show data context 157 Show data context 77 Show data context 28 Show data context
Other & Undefined 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 2 Show data context 1 Show data context 0 Show data context 0 Show data context 0 Show data context 0 Show data context
Unoccupied 0 Show data context 0 Show data context 10 Show data context 20 Show data context 17 Show data context 17 Show data context 19 Show data context 18 Show data context 70 Show data context 61 Show data context 42 Show data context 39 Show data context 28 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, Tottenham MB/UD 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/10001444/cube/OCC_ORD1911_AGESEX

Date accessed: 28th April 2024