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 21 Show data context 37 Show data context 23 Show data context 26 Show data context 12 Show data context 29 Show data context 163 Show data context 459 Show data context 425 Show data context 219 Show data context 87 Show data context 7 Show data context
Defence 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 7 Show data context 24 Show data context 30 Show data context 18 Show data context 4 Show data context 2 Show data context 3 Show data context
Professional Occupations 0 Show data context 0 Show data context 9 Show data context 21 Show data context 26 Show data context 19 Show data context 35 Show data context 31 Show data context 179 Show data context 490 Show data context 355 Show data context 303 Show data context 124 Show data context 44 Show data context
Domestic Services 1 Show data context 0 Show data context 4 Show data context 8 Show data context 15 Show data context 6 Show data context 13 Show data context 16 Show data context 48 Show data context 152 Show data context 132 Show data context 100 Show data context 58 Show data context 27 Show data context
Commercial Occupations 1 Show data context 1 Show data context 67 Show data context 185 Show data context 268 Show data context 295 Show data context 250 Show data context 258 Show data context 1,076 Show data context 1,659 Show data context 1,124 Show data context 750 Show data context 387 Show data context 132 Show data context
Transport 14 Show data context 31 Show data context 286 Show data context 286 Show data context 216 Show data context 138 Show data context 121 Show data context 94 Show data context 557 Show data context 1,579 Show data context 1,436 Show data context 877 Show data context 386 Show data context 82 Show data context
Agriculture 0 Show data context 0 Show data context 2 Show data context 3 Show data context 4 Show data context 7 Show data context 8 Show data context 1 Show data context 32 Show data context 37 Show data context 58 Show data context 55 Show data context 53 Show data context 35 Show data context
Mines & Quarries
Metals, Machines 0 Show data context 0 Show data context 2 Show data context 1 Show data context 2 Show data context 2 Show data context 1 Show data context 1 Show data context 9 Show data context 14 Show data context 22 Show data context 24 Show data context 15 Show data context 5 Show data context
Jewelry, Instruments 0 Show data context 0 Show data context 47 Show data context 79 Show data context 132 Show data context 123 Show data context 124 Show data context 106 Show data context 553 Show data context 1,095 Show data context 836 Show data context 554 Show data context 240 Show data context 70 Show data context
Building 0 Show data context 0 Show data context 6 Show data context 14 Show data context 24 Show data context 20 Show data context 20 Show data context 22 Show data context 94 Show data context 197 Show data context 174 Show data context 91 Show data context 52 Show data context 30 Show data context
Wood, Furniture 0 Show data context 0 Show data context 5 Show data context 26 Show data context 28 Show data context 40 Show data context 42 Show data context 44 Show data context 304 Show data context 1,037 Show data context 923 Show data context 744 Show data context 445 Show data context 159 Show data context
Brick, Cement 0 Show data context 0 Show data context 12 Show data context 22 Show data context 30 Show data context 21 Show data context 28 Show data context 22 Show data context 131 Show data context 361 Show data context 269 Show data context 209 Show data context 140 Show data context 72 Show data context
Chemicals 0 Show data context 0 Show data context 1 Show data context 2 Show data context 2 Show data context 4 Show data context 6 Show data context 7 Show data context 12 Show data context 25 Show data context 29 Show data context 23 Show data context 16 Show data context 3 Show data context
Skins, Leather 0 Show data context 0 Show data context 5 Show data context 14 Show data context 8 Show data context 10 Show data context 19 Show data context 11 Show data context 66 Show data context 134 Show data context 119 Show data context 86 Show data context 51 Show data context 23 Show data context
Paper, Prints 0 Show data context 0 Show data context 4 Show data context 8 Show data context 8 Show data context 8 Show data context 10 Show data context 13 Show data context 37 Show data context 88 Show data context 89 Show data context 82 Show data context 46 Show data context 15 Show data context
Textile Fabrics 0 Show data context 1 Show data context 28 Show data context 40 Show data context 61 Show data context 46 Show data context 37 Show data context 51 Show data context 188 Show data context 371 Show data context 380 Show data context 258 Show data context 148 Show data context 48 Show data context
Dress 0 Show data context 2 Show data context 3 Show data context 18 Show data context 24 Show data context 26 Show data context 17 Show data context 24 Show data context 97 Show data context 181 Show data context 137 Show data context 90 Show data context 45 Show data context 12 Show data context
Food, Drink 0 Show data context 4 Show data context 17 Show data context 37 Show data context 47 Show data context 40 Show data context 55 Show data context 34 Show data context 199 Show data context 399 Show data context 419 Show data context 282 Show data context 158 Show data context 90 Show data context
Gas, Water 1 Show data context 0 Show data context 44 Show data context 60 Show data context 100 Show data context 125 Show data context 134 Show data context 113 Show data context 481 Show data context 935 Show data context 764 Show data context 532 Show data context 289 Show data context 85 Show data context
Other & Undefined 0 Show data context 0 Show data context 0 Show data context 1 Show data context 1 Show data context 4 Show data context 2 Show data context 2 Show data context 31 Show data context 138 Show data context 111 Show data context 73 Show data context 43 Show data context 12 Show data context
Unoccupied 28 Show data context 21 Show data context 17 Show data context 18 Show data context 17 Show data context 33 Show data context 28 Show data context 30 Show data context 119 Show data context 328 Show data context 296 Show data context 269 Show data context 165 Show data context 38 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 7 Show data context 16 Show data context 16 Show data context 22 Show data context 132 Show data context 214 Show data context 69 Show data context 39 Show data context 7 Show data context 1 Show data context
Defence
Professional Occupations 0 Show data context 0 Show data context 1 Show data context 6 Show data context 12 Show data context 17 Show data context 37 Show data context 32 Show data context 264 Show data context 414 Show data context 276 Show data context 210 Show data context 102 Show data context 39 Show data context
Domestic Services 0 Show data context 2 Show data context 110 Show data context 190 Show data context 230 Show data context 237 Show data context 255 Show data context 249 Show data context 943 Show data context 794 Show data context 498 Show data context 411 Show data context 258 Show data context 70 Show data context
Commercial Occupations 0 Show data context 1 Show data context 8 Show data context 40 Show data context 87 Show data context 110 Show data context 119 Show data context 98 Show data context 413 Show data context 288 Show data context 58 Show data context 20 Show data context 5 Show data context 2 Show data context
Transport 0 Show data context 0 Show data context 4 Show data context 5 Show data context 6 Show data context 9 Show data context 14 Show data context 16 Show data context 45 Show data context 39 Show data context 7 Show data context 3 Show data context 5 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 0 Show data context 0 Show data context 1 Show data context 1 Show data context 2 Show data context 0 Show data context 0 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 0 Show data context 2 Show data context 3 Show data context 0 Show data context 0 Show data context 4 Show data context 1 Show data context 0 Show data context 1 Show data context 0 Show data context 0 Show data context
Jewelry, Instruments 0 Show data context 0 Show data context 48 Show data context 62 Show data context 45 Show data context 39 Show data context 38 Show data context 44 Show data context 126 Show data context 36 Show data context 14 Show data context 4 Show data context 0 Show data context 1 Show data context
Building 0 Show data context 0 Show data context 2 Show data context 2 Show data context 2 Show data context 5 Show data context 7 Show data context 3 Show data context 23 Show data context 22 Show data context 10 Show data context 2 Show data context 1 Show data context 1 Show data context
Wood, Furniture
Brick, Cement 0 Show data context 0 Show data context 1 Show data context 3 Show data context 2 Show data context 6 Show data context 1 Show data context 2 Show data context 18 Show data context 25 Show data context 7 Show data context 3 Show data context 3 Show data context 3 Show data context
Chemicals 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 0 Show data context 5 Show data context 4 Show data context 3 Show data context 1 Show data context 2 Show data context 0 Show data context
Skins, Leather 0 Show data context 0 Show data context 1 Show data context 5 Show data context 9 Show data context 4 Show data context 11 Show data context 7 Show data context 22 Show data context 19 Show data context 10 Show data context 5 Show data context 1 Show data context 1 Show data context
Paper, Prints 0 Show data context 0 Show data context 6 Show data context 14 Show data context 15 Show data context 14 Show data context 9 Show data context 10 Show data context 43 Show data context 34 Show data context 15 Show data context 7 Show data context 6 Show data context 1 Show data context
Textile Fabrics 0 Show data context 0 Show data context 9 Show data context 34 Show data context 29 Show data context 32 Show data context 27 Show data context 36 Show data context 127 Show data context 82 Show data context 50 Show data context 26 Show data context 11 Show data context 2 Show data context
Dress 0 Show data context 0 Show data context 7 Show data context 24 Show data context 43 Show data context 42 Show data context 39 Show data context 35 Show data context 158 Show data context 124 Show data context 55 Show data context 24 Show data context 13 Show data context 4 Show data context
Food, Drink 0 Show data context 2 Show data context 108 Show data context 178 Show data context 232 Show data context 268 Show data context 226 Show data context 205 Show data context 909 Show data context 856 Show data context 455 Show data context 246 Show data context 177 Show data context 70 Show data context
Gas, Water 0 Show data context 0 Show data context 18 Show data context 18 Show data context 54 Show data context 67 Show data context 61 Show data context 78 Show data context 341 Show data context 307 Show data context 178 Show data context 108 Show data context 42 Show data context 20 Show data context
Other & Undefined
Unoccupied 0 Show data context 0 Show data context 2 Show data context 7 Show data context 12 Show data context 10 Show data context 17 Show data context 16 Show data context 56 Show data context 45 Show data context 36 Show data context 21 Show data context 24 Show data context 6 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, Leyton UD/MB 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/10135655/cube/OCC_ORD1911_AGESEX

Date accessed: 25th April 2024