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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 2 Show data context 22 Show data context 38 Show data context 25 Show data context 25 Show data context 17 Show data context 21 Show data context 154 Show data context 362 Show data context 285 Show data context 141 Show data context 62 Show data context 23 Show data context
Defence 0 Show data context 0 Show data context 0 Show data context 0 Show data context 0 Show data context 2 Show data context 5 Show data context 12 Show data context 60 Show data context 53 Show data context 7 Show data context 0 Show data context 0 Show data context 1 Show data context
Professional Occupations 0 Show data context 0 Show data context 9 Show data context 13 Show data context 19 Show data context 21 Show data context 18 Show data context 13 Show data context 102 Show data context 171 Show data context 137 Show data context 91 Show data context 65 Show data context 14 Show data context
Domestic Services 0 Show data context 0 Show data context 5 Show data context 7 Show data context 10 Show data context 12 Show data context 13 Show data context 15 Show data context 62 Show data context 133 Show data context 132 Show data context 90 Show data context 56 Show data context 42 Show data context
Commercial Occupations 0 Show data context 0 Show data context 47 Show data context 120 Show data context 158 Show data context 161 Show data context 170 Show data context 153 Show data context 606 Show data context 587 Show data context 315 Show data context 165 Show data context 91 Show data context 60 Show data context
Transport 15 Show data context 22 Show data context 482 Show data context 512 Show data context 405 Show data context 270 Show data context 257 Show data context 247 Show data context 1,568 Show data context 3,560 Show data context 3,007 Show data context 2,135 Show data context 1,250 Show data context 352 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 7 Show data context 13 Show data context 17 Show data context 19 Show data context 8 Show data context 4 Show data context
Mines & Quarries
Metals, Machines 0 Show data context 0 Show data context 2 Show data context 2 Show data context 4 Show data context 7 Show data context 7 Show data context 6 Show data context 29 Show data context 44 Show data context 43 Show data context 35 Show data context 19 Show data context 8 Show data context
Jewelry, Instruments 0 Show data context 0 Show data context 85 Show data context 161 Show data context 181 Show data context 193 Show data context 211 Show data context 196 Show data context 1,046 Show data context 1,803 Show data context 1,494 Show data context 1,084 Show data context 694 Show data context 306 Show data context
Building 0 Show data context 0 Show data context 12 Show data context 20 Show data context 11 Show data context 15 Show data context 22 Show data context 18 Show data context 74 Show data context 84 Show data context 60 Show data context 39 Show data context 30 Show data context 16 Show data context
Wood, Furniture 0 Show data context 0 Show data context 9 Show data context 16 Show data context 37 Show data context 47 Show data context 37 Show data context 47 Show data context 300 Show data context 878 Show data context 756 Show data context 652 Show data context 407 Show data context 171 Show data context
Brick, Cement 0 Show data context 1 Show data context 65 Show data context 90 Show data context 111 Show data context 107 Show data context 107 Show data context 100 Show data context 381 Show data context 649 Show data context 441 Show data context 316 Show data context 192 Show data context 93 Show data context
Chemicals 0 Show data context 0 Show data context 6 Show data context 7 Show data context 7 Show data context 10 Show data context 11 Show data context 8 Show data context 29 Show data context 63 Show data context 45 Show data context 26 Show data context 18 Show data context 4 Show data context
Skins, Leather 0 Show data context 0 Show data context 27 Show data context 48 Show data context 55 Show data context 37 Show data context 72 Show data context 63 Show data context 244 Show data context 504 Show data context 357 Show data context 223 Show data context 131 Show data context 54 Show data context
Paper, Prints 0 Show data context 0 Show data context 4 Show data context 12 Show data context 15 Show data context 21 Show data context 13 Show data context 16 Show data context 52 Show data context 83 Show data context 74 Show data context 61 Show data context 44 Show data context 18 Show data context
Textile Fabrics 0 Show data context 0 Show data context 46 Show data context 79 Show data context 90 Show data context 67 Show data context 68 Show data context 60 Show data context 286 Show data context 389 Show data context 243 Show data context 149 Show data context 80 Show data context 37 Show data context
Dress 0 Show data context 0 Show data context 10 Show data context 31 Show data context 41 Show data context 39 Show data context 23 Show data context 32 Show data context 122 Show data context 164 Show data context 110 Show data context 61 Show data context 49 Show data context 20 Show data context
Food, Drink 3 Show data context 6 Show data context 29 Show data context 39 Show data context 47 Show data context 53 Show data context 62 Show data context 48 Show data context 211 Show data context 371 Show data context 370 Show data context 276 Show data context 199 Show data context 83 Show data context
Gas, Water 1 Show data context 2 Show data context 71 Show data context 130 Show data context 157 Show data context 157 Show data context 178 Show data context 146 Show data context 810 Show data context 1,172 Show data context 917 Show data context 629 Show data context 349 Show data context 129 Show data context
Other & Undefined 0 Show data context 0 Show data context 2 Show data context 6 Show data context 5 Show data context 9 Show data context 12 Show data context 10 Show data context 64 Show data context 228 Show data context 241 Show data context 176 Show data context 98 Show data context 23 Show data context
Unoccupied 18 Show data context 20 Show data context 43 Show data context 61 Show data context 86 Show data context 105 Show data context 122 Show data context 134 Show data context 549 Show data context 1,135 Show data context 1,013 Show data context 872 Show data context 514 Show data context 180 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 3 Show data context 6 Show data context 8 Show data context 7 Show data context 79 Show data context 135 Show data context 59 Show data context 44 Show data context 18 Show data context 1 Show data context
Defence
Professional Occupations 0 Show data context 1 Show data context 2 Show data context 0 Show data context 8 Show data context 13 Show data context 10 Show data context 12 Show data context 137 Show data context 217 Show data context 128 Show data context 122 Show data context 84 Show data context 28 Show data context
Domestic Services 0 Show data context 0 Show data context 74 Show data context 149 Show data context 161 Show data context 169 Show data context 184 Show data context 139 Show data context 536 Show data context 543 Show data context 518 Show data context 515 Show data context 414 Show data context 140 Show data context
Commercial Occupations 0 Show data context 0 Show data context 12 Show data context 32 Show data context 53 Show data context 47 Show data context 54 Show data context 71 Show data context 194 Show data context 114 Show data context 16 Show data context 4 Show data context 4 Show data context 1 Show data context
Transport 0 Show data context 0 Show data context 26 Show data context 24 Show data context 20 Show data context 13 Show data context 9 Show data context 12 Show data context 23 Show data context 21 Show data context 14 Show data context 7 Show data context 0 Show data context 0 Show data context
Agriculture
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 1 Show data context 2 Show data context 8 Show data context 2 Show data context 2 Show data context 2 Show data context 1 Show data context 1 Show data context
Jewelry, Instruments 0 Show data context 0 Show data context 30 Show data context 36 Show data context 41 Show data context 49 Show data context 49 Show data context 38 Show data context 163 Show data context 72 Show data context 13 Show data context 8 Show data context 5 Show data context 1 Show data context
Building 0 Show data context 0 Show data context 2 Show data context 5 Show data context 7 Show data context 6 Show data context 6 Show data context 7 Show data context 22 Show data context 9 Show data context 4 Show data context 4 Show data context 0 Show data context 1 Show data context
Wood, Furniture
Brick, Cement 0 Show data context 1 Show data context 16 Show data context 43 Show data context 35 Show data context 36 Show data context 32 Show data context 43 Show data context 104 Show data context 75 Show data context 38 Show data context 28 Show data context 23 Show data context 6 Show data context
Chemicals 0 Show data context 0 Show data context 1 Show data context 4 Show data context 5 Show data context 10 Show data context 7 Show data context 5 Show data context 15 Show data context 8 Show data context 1 Show data context 3 Show data context 0 Show data context 0 Show data context
Skins, Leather 0 Show data context 1 Show data context 67 Show data context 89 Show data context 80 Show data context 96 Show data context 94 Show data context 52 Show data context 293 Show data context 217 Show data context 81 Show data context 59 Show data context 30 Show data context 4 Show data context
Paper, Prints 0 Show data context 0 Show data context 21 Show data context 21 Show data context 26 Show data context 28 Show data context 23 Show data context 18 Show data context 75 Show data context 62 Show data context 39 Show data context 25 Show data context 13 Show data context 3 Show data context
Textile Fabrics 0 Show data context 0 Show data context 64 Show data context 92 Show data context 114 Show data context 106 Show data context 112 Show data context 96 Show data context 332 Show data context 222 Show data context 83 Show data context 61 Show data context 27 Show data context 14 Show data context
Dress 0 Show data context 0 Show data context 19 Show data context 42 Show data context 40 Show data context 63 Show data context 61 Show data context 69 Show data context 243 Show data context 146 Show data context 93 Show data context 60 Show data context 30 Show data context 14 Show data context
Food, Drink 1 Show data context 1 Show data context 165 Show data context 275 Show data context 333 Show data context 296 Show data context 319 Show data context 317 Show data context 1,201 Show data context 1,174 Show data context 675 Show data context 434 Show data context 306 Show data context 174 Show data context
Gas, Water 1 Show data context 1 Show data context 111 Show data context 219 Show data context 247 Show data context 269 Show data context 296 Show data context 290 Show data context 1,098 Show data context 757 Show data context 368 Show data context 217 Show data context 131 Show data context 45 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 1 Show data context 2 Show data context 0 Show data context 1 Show data context 0 Show data context 0 Show data context 0 Show data context
Unoccupied 0 Show data context 0 Show data context 9 Show data context 16 Show data context 29 Show data context 15 Show data context 28 Show data context 30 Show data context 102 Show data context 74 Show data context 75 Show data context 56 Show data context 54 Show data context 14 Show data context
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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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GB Historical GIS / University of Portsmouth, Poplar MetB through time | Statistics |, A Vision of Britain through Time.

URL: https://www.visionofbritain.org.uk/unit/10088628/cube/OCC_ORD1911_AGESEX

Date accessed: 19th April 2024