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 60 Show data context 78 Show data context 75 Show data context 54 Show data context 62 Show data context 52 Show data context 390 Show data context 788 Show data context 637 Show data context 430 Show data context 179 Show data context 32 Show data context
Defence 0 Show data context 0 Show data context 1 Show data context 0 Show data context 1 Show data context 4 Show data context 6 Show data context 8 Show data context 62 Show data context 146 Show data context 73 Show data context 13 Show data context 10 Show data context 20 Show data context
Professional Occupations 0 Show data context 0 Show data context 19 Show data context 33 Show data context 43 Show data context 42 Show data context 58 Show data context 50 Show data context 328 Show data context 614 Show data context 578 Show data context 473 Show data context 252 Show data context 96 Show data context
Domestic Services 0 Show data context 2 Show data context 15 Show data context 27 Show data context 25 Show data context 29 Show data context 32 Show data context 35 Show data context 142 Show data context 313 Show data context 299 Show data context 209 Show data context 124 Show data context 67 Show data context
Commercial Occupations 0 Show data context 1 Show data context 75 Show data context 138 Show data context 202 Show data context 247 Show data context 228 Show data context 211 Show data context 916 Show data context 1,266 Show data context 798 Show data context 531 Show data context 283 Show data context 101 Show data context
Transport 16 Show data context 28 Show data context 428 Show data context 478 Show data context 361 Show data context 269 Show data context 221 Show data context 205 Show data context 1,067 Show data context 2,544 Show data context 1,796 Show data context 1,192 Show data context 625 Show data context 155 Show data context
Agriculture 0 Show data context 0 Show data context 0 Show data context 1 Show data context 1 Show data context 0 Show data context 2 Show data context 4 Show data context 13 Show data context 23 Show data context 33 Show data context 40 Show data context 30 Show data context 15 Show data context
Mines & Quarries
Metals, Machines 0 Show data context 0 Show data context 3 Show data context 5 Show data context 6 Show data context 1 Show data context 1 Show data context 3 Show data context 10 Show data context 36 Show data context 33 Show data context 25 Show data context 17 Show data context 9 Show data context
Jewelry, Instruments 0 Show data context 0 Show data context 40 Show data context 76 Show data context 109 Show data context 121 Show data context 155 Show data context 132 Show data context 704 Show data context 1,244 Show data context 983 Show data context 644 Show data context 370 Show data context 138 Show data context
Building 0 Show data context 0 Show data context 12 Show data context 15 Show data context 21 Show data context 21 Show data context 26 Show data context 24 Show data context 103 Show data context 234 Show data context 171 Show data context 124 Show data context 69 Show data context 30 Show data context
Wood, Furniture 0 Show data context 0 Show data context 10 Show data context 30 Show data context 51 Show data context 68 Show data context 80 Show data context 78 Show data context 580 Show data context 1,740 Show data context 1,690 Show data context 1,528 Show data context 988 Show data context 384 Show data context
Brick, Cement 0 Show data context 0 Show data context 14 Show data context 17 Show data context 42 Show data context 38 Show data context 48 Show data context 44 Show data context 186 Show data context 424 Show data context 325 Show data context 229 Show data context 165 Show data context 84 Show data context
Chemicals 0 Show data context 0 Show data context 13 Show data context 22 Show data context 18 Show data context 22 Show data context 16 Show data context 15 Show data context 77 Show data context 130 Show data context 109 Show data context 65 Show data context 26 Show data context 7 Show data context
Skins, Leather 0 Show data context 0 Show data context 26 Show data context 29 Show data context 49 Show data context 60 Show data context 40 Show data context 47 Show data context 195 Show data context 282 Show data context 221 Show data context 134 Show data context 75 Show data context 23 Show data context
Paper, Prints 0 Show data context 0 Show data context 5 Show data context 5 Show data context 6 Show data context 8 Show data context 0 Show data context 7 Show data context 35 Show data context 61 Show data context 60 Show data context 62 Show data context 38 Show data context 16 Show data context
Textile Fabrics 0 Show data context 1 Show data context 32 Show data context 63 Show data context 53 Show data context 52 Show data context 48 Show data context 60 Show data context 225 Show data context 432 Show data context 385 Show data context 255 Show data context 125 Show data context 37 Show data context
Dress 0 Show data context 0 Show data context 5 Show data context 17 Show data context 20 Show data context 28 Show data context 28 Show data context 27 Show data context 117 Show data context 143 Show data context 102 Show data context 65 Show data context 52 Show data context 24 Show data context
Food, Drink 1 Show data context 2 Show data context 17 Show data context 31 Show data context 45 Show data context 54 Show data context 47 Show data context 45 Show data context 218 Show data context 469 Show data context 405 Show data context 282 Show data context 186 Show data context 102 Show data context
Gas, Water 1 Show data context 1 Show data context 63 Show data context 112 Show data context 157 Show data context 162 Show data context 182 Show data context 172 Show data context 855 Show data context 1,480 Show data context 1,258 Show data context 732 Show data context 375 Show data context 129 Show data context
Other & Undefined 0 Show data context 0 Show data context 4 Show data context 4 Show data context 1 Show data context 7 Show data context 5 Show data context 7 Show data context 61 Show data context 219 Show data context 241 Show data context 218 Show data context 117 Show data context 31 Show data context
Unoccupied 27 Show data context 33 Show data context 37 Show data context 59 Show data context 63 Show data context 71 Show data context 81 Show data context 73 Show data context 407 Show data context 761 Show data context 734 Show data context 493 Show data context 342 Show data context 136 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 0 Show data context 8 Show data context 13 Show data context 20 Show data context 29 Show data context 160 Show data context 194 Show data context 74 Show data context 33 Show data context 16 Show data context 0 Show data context
Defence
Professional Occupations 1 Show data context 0 Show data context 4 Show data context 6 Show data context 12 Show data context 19 Show data context 33 Show data context 51 Show data context 305 Show data context 568 Show data context 357 Show data context 256 Show data context 161 Show data context 47 Show data context
Domestic Services 1 Show data context 4 Show data context 153 Show data context 301 Show data context 387 Show data context 410 Show data context 434 Show data context 379 Show data context 1,582 Show data context 1,550 Show data context 1,067 Show data context 919 Show data context 550 Show data context 194 Show data context
Commercial Occupations 0 Show data context 0 Show data context 26 Show data context 34 Show data context 77 Show data context 100 Show data context 109 Show data context 101 Show data context 444 Show data context 332 Show data context 105 Show data context 26 Show data context 10 Show data context 3 Show data context
Transport 0 Show data context 0 Show data context 12 Show data context 11 Show data context 9 Show data context 7 Show data context 9 Show data context 10 Show data context 45 Show data context 25 Show data context 11 Show data context 12 Show data context 12 Show data context 5 Show data context
Agriculture
Mines & Quarries
Metals, Machines 0 Show data context 0 Show data context 0 Show data context 3 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 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 3 Show data context 18 Show data context 26 Show data context 25 Show data context 31 Show data context 30 Show data context 94 Show data context 48 Show data context 16 Show data context 4 Show data context 0 Show data context 1 Show data context
Building 0 Show data context 0 Show data context 12 Show data context 16 Show data context 10 Show data context 8 Show data context 13 Show data context 8 Show data context 29 Show data context 18 Show data context 7 Show data context 6 Show data context 2 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 1 Show data context 0 Show data context 0 Show data context
Brick, Cement 0 Show data context 0 Show data context 3 Show data context 12 Show data context 15 Show data context 8 Show data context 11 Show data context 9 Show data context 44 Show data context 47 Show data context 22 Show data context 21 Show data context 19 Show data context 8 Show data context
Chemicals 0 Show data context 0 Show data context 3 Show data context 0 Show data context 4 Show data context 4 Show data context 0 Show data context 2 Show data context 17 Show data context 14 Show data context 7 Show data context 2 Show data context 1 Show data context 0 Show data context
Skins, Leather 0 Show data context 0 Show data context 23 Show data context 21 Show data context 20 Show data context 24 Show data context 24 Show data context 23 Show data context 66 Show data context 19 Show data context 8 Show data context 6 Show data context 3 Show data context 5 Show data context
Paper, Prints 0 Show data context 0 Show data context 2 Show data context 7 Show data context 5 Show data context 6 Show data context 6 Show data context 5 Show data context 15 Show data context 19 Show data context 11 Show data context 6 Show data context 0 Show data context 1 Show data context
Textile Fabrics 0 Show data context 0 Show data context 31 Show data context 74 Show data context 74 Show data context 64 Show data context 62 Show data context 68 Show data context 194 Show data context 137 Show data context 55 Show data context 28 Show data context 15 Show data context 3 Show data context
Dress 0 Show data context 0 Show data context 16 Show data context 28 Show data context 44 Show data context 41 Show data context 34 Show data context 46 Show data context 232 Show data context 213 Show data context 67 Show data context 39 Show data context 16 Show data context 5 Show data context
Food, Drink 0 Show data context 2 Show data context 145 Show data context 213 Show data context 257 Show data context 276 Show data context 275 Show data context 275 Show data context 1,156 Show data context 1,103 Show data context 542 Show data context 434 Show data context 228 Show data context 104 Show data context
Gas, Water 0 Show data context 0 Show data context 39 Show data context 56 Show data context 96 Show data context 90 Show data context 100 Show data context 116 Show data context 492 Show data context 440 Show data context 271 Show data context 219 Show data context 106 Show data context 35 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 0 Show data context 1 Show data context 0 Show data context 0 Show data context 0 Show data context 0 Show data context
Unoccupied 1 Show data context 0 Show data context 17 Show data context 16 Show data context 29 Show data context 29 Show data context 24 Show data context 18 Show data context 103 Show data context 109 Show data context 97 Show data context 47 Show data context 27 Show data context 18 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, Battersea MetB 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/10135539/cube/OCC_ORD1911_AGESEX

Date accessed: 22nd May 2024