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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 4 Show data context 55 Show data context 67 Show data context 33 Show data context 34 Show data context 22 Show data context 47 Show data context 280 Show data context 724 Show data context 640 Show data context 312 Show data context 129 Show data context 44 Show data context
Defence 0 Show data context 1 Show data context 0 Show data context 2 Show data context 4 Show data context 33 Show data context 78 Show data context 35 Show data context 77 Show data context 81 Show data context 78 Show data context 32 Show data context 30 Show data context 24 Show data context
Professional Occupations 1 Show data context 1 Show data context 31 Show data context 50 Show data context 62 Show data context 91 Show data context 75 Show data context 71 Show data context 443 Show data context 1,086 Show data context 1,031 Show data context 759 Show data context 409 Show data context 206 Show data context
Domestic Services 26 Show data context 38 Show data context 183 Show data context 213 Show data context 264 Show data context 283 Show data context 261 Show data context 234 Show data context 1,228 Show data context 2,053 Show data context 1,521 Show data context 1,046 Show data context 654 Show data context 300 Show data context
Commercial Occupations 0 Show data context 3 Show data context 48 Show data context 115 Show data context 158 Show data context 180 Show data context 201 Show data context 197 Show data context 771 Show data context 1,378 Show data context 1,226 Show data context 727 Show data context 361 Show data context 136 Show data context
Transport 83 Show data context 129 Show data context 431 Show data context 413 Show data context 344 Show data context 265 Show data context 235 Show data context 220 Show data context 1,227 Show data context 2,683 Show data context 2,114 Show data context 1,370 Show data context 727 Show data context 172 Show data context
Agriculture 8 Show data context 37 Show data context 367 Show data context 468 Show data context 505 Show data context 489 Show data context 480 Show data context 457 Show data context 2,162 Show data context 3,426 Show data context 3,192 Show data context 2,784 Show data context 2,119 Show data context 1,476 Show data context
Mines & Quarries
Metals, Machines 0 Show data context 0 Show data context 2 Show data context 3 Show data context 7 Show data context 7 Show data context 5 Show data context 9 Show data context 59 Show data context 154 Show data context 157 Show data context 112 Show data context 60 Show data context 22 Show data context
Jewelry, Instruments 0 Show data context 2 Show data context 76 Show data context 105 Show data context 141 Show data context 155 Show data context 145 Show data context 144 Show data context 672 Show data context 1,247 Show data context 1,000 Show data context 606 Show data context 387 Show data context 189 Show data context
Building 0 Show data context 0 Show data context 27 Show data context 35 Show data context 46 Show data context 25 Show data context 36 Show data context 30 Show data context 126 Show data context 207 Show data context 159 Show data context 101 Show data context 59 Show data context 33 Show data context
Wood, Furniture 0 Show data context 2 Show data context 37 Show data context 57 Show data context 112 Show data context 139 Show data context 149 Show data context 184 Show data context 1,186 Show data context 3,262 Show data context 2,596 Show data context 1,959 Show data context 1,236 Show data context 585 Show data context
Brick, Cement 0 Show data context 3 Show data context 29 Show data context 50 Show data context 41 Show data context 43 Show data context 40 Show data context 42 Show data context 211 Show data context 419 Show data context 393 Show data context 297 Show data context 148 Show data context 102 Show data context
Chemicals 0 Show data context 0 Show data context 1 Show data context 0 Show data context 6 Show data context 5 Show data context 4 Show data context 1 Show data context 32 Show data context 87 Show data context 80 Show data context 71 Show data context 40 Show data context 25 Show data context
Skins, Leather 0 Show data context 1 Show data context 18 Show data context 26 Show data context 42 Show data context 51 Show data context 36 Show data context 31 Show data context 143 Show data context 272 Show data context 240 Show data context 141 Show data context 60 Show data context 30 Show data context
Paper, Prints 0 Show data context 10 Show data context 24 Show data context 25 Show data context 34 Show data context 41 Show data context 31 Show data context 25 Show data context 115 Show data context 198 Show data context 160 Show data context 105 Show data context 70 Show data context 31 Show data context
Textile Fabrics 0 Show data context 35 Show data context 126 Show data context 163 Show data context 132 Show data context 151 Show data context 141 Show data context 119 Show data context 511 Show data context 835 Show data context 666 Show data context 347 Show data context 174 Show data context 57 Show data context
Dress 0 Show data context 2 Show data context 14 Show data context 28 Show data context 30 Show data context 29 Show data context 27 Show data context 32 Show data context 88 Show data context 169 Show data context 165 Show data context 110 Show data context 64 Show data context 27 Show data context
Food, Drink 0 Show data context 5 Show data context 49 Show data context 66 Show data context 74 Show data context 92 Show data context 90 Show data context 69 Show data context 364 Show data context 735 Show data context 592 Show data context 411 Show data context 278 Show data context 224 Show data context
Gas, Water 1 Show data context 7 Show data context 134 Show data context 224 Show data context 297 Show data context 309 Show data context 326 Show data context 297 Show data context 1,267 Show data context 2,107 Show data context 1,794 Show data context 1,333 Show data context 823 Show data context 392 Show data context
Other & Undefined 0 Show data context 0 Show data context 2 Show data context 2 Show data context 4 Show data context 8 Show data context 6 Show data context 8 Show data context 47 Show data context 218 Show data context 226 Show data context 117 Show data context 76 Show data context 38 Show data context
Unoccupied 91 Show data context 64 Show data context 55 Show data context 61 Show data context 73 Show data context 86 Show data context 125 Show data context 98 Show data context 530 Show data context 1,239 Show data context 1,237 Show data context 925 Show data context 656 Show data context 403 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 2 Show data context 5 Show data context 13 Show data context 17 Show data context 25 Show data context 26 Show data context 129 Show data context 170 Show data context 84 Show data context 54 Show data context 23 Show data context 13 Show data context
Defence
Professional Occupations 0 Show data context 1 Show data context 11 Show data context 28 Show data context 31 Show data context 66 Show data context 70 Show data context 112 Show data context 751 Show data context 1,192 Show data context 811 Show data context 520 Show data context 239 Show data context 89 Show data context
Domestic Services 3 Show data context 46 Show data context 491 Show data context 867 Show data context 1,039 Show data context 1,133 Show data context 1,199 Show data context 1,180 Show data context 5,326 Show data context 4,791 Show data context 2,332 Show data context 1,718 Show data context 1,114 Show data context 491 Show data context
Commercial Occupations 0 Show data context 8 Show data context 26 Show data context 58 Show data context 72 Show data context 81 Show data context 85 Show data context 79 Show data context 334 Show data context 286 Show data context 73 Show data context 25 Show data context 7 Show data context 3 Show data context
Transport 2 Show data context 3 Show data context 3 Show data context 8 Show data context 5 Show data context 5 Show data context 12 Show data context 12 Show data context 31 Show data context 31 Show data context 13 Show data context 6 Show data context 6 Show data context 1 Show data context
Agriculture 0 Show data context 0 Show data context 2 Show data context 9 Show data context 11 Show data context 7 Show data context 16 Show data context 7 Show data context 59 Show data context 67 Show data context 49 Show data context 56 Show data context 47 Show data context 37 Show data context
Mines & 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 0 Show data context 3 Show data context 1 Show data context 4 Show data context 4 Show data context 4 Show data context
Jewelry, Instruments 0 Show data context 0 Show data context 2 Show data context 4 Show data context 7 Show data context 6 Show data context 2 Show data context 5 Show data context 14 Show data context 13 Show data context 12 Show data context 6 Show data context 4 Show data context 6 Show data context
Building 0 Show data context 1 Show data context 31 Show data context 29 Show data context 39 Show data context 45 Show data context 29 Show data context 33 Show data context 74 Show data context 35 Show data context 10 Show data context 9 Show data context 7 Show data context 2 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 3 Show data context 1 Show data context 6 Show data context
Brick, Cement 0 Show data context 0 Show data context 4 Show data context 1 Show data context 4 Show data context 3 Show data context 2 Show data context 4 Show data context 17 Show data context 19 Show data context 22 Show data context 22 Show data context 12 Show data context 7 Show data context
Chemicals 0 Show data context 0 Show data context 0 Show data context 1 Show data context 0 Show data context 3 Show data context 3 Show data context 1 Show data context 8 Show data context 6 Show data context 4 Show data context 7 Show data context 2 Show data context 1 Show data context
Skins, Leather 0 Show data context 0 Show data context 9 Show data context 16 Show data context 31 Show data context 41 Show data context 44 Show data context 34 Show data context 162 Show data context 68 Show data context 17 Show data context 11 Show data context 3 Show data context 0 Show data context
Paper, Prints 0 Show data context 9 Show data context 17 Show data context 17 Show data context 31 Show data context 27 Show data context 34 Show data context 25 Show data context 101 Show data context 70 Show data context 28 Show data context 19 Show data context 8 Show data context 3 Show data context
Textile Fabrics 0 Show data context 30 Show data context 115 Show data context 129 Show data context 137 Show data context 161 Show data context 146 Show data context 145 Show data context 478 Show data context 313 Show data context 103 Show data context 64 Show data context 32 Show data context 16 Show data context
Dress 0 Show data context 6 Show data context 53 Show data context 83 Show data context 77 Show data context 74 Show data context 68 Show data context 74 Show data context 252 Show data context 194 Show data context 111 Show data context 53 Show data context 38 Show data context 15 Show data context
Food, Drink 0 Show data context 12 Show data context 147 Show data context 274 Show data context 329 Show data context 345 Show data context 301 Show data context 269 Show data context 1,188 Show data context 1,178 Show data context 712 Show data context 429 Show data context 277 Show data context 139 Show data context
Gas, Water 0 Show data context 2 Show data context 70 Show data context 94 Show data context 119 Show data context 98 Show data context 109 Show data context 79 Show data context 468 Show data context 608 Show data context 550 Show data context 487 Show data context 381 Show data context 200 Show data context
Other & Undefined
Unoccupied 1 Show data context 1 Show data context 7 Show data context 13 Show data context 12 Show data context 15 Show data context 14 Show data context 19 Show data context 51 Show data context 80 Show data context 59 Show data context 77 Show data context 60 Show data context 42 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, Hertfordshire AdmC through time | Statistics |, A Vision of Britain through Time.

URL: https://www.visionofbritain.org.uk/unit/10001158/cube/OCC_ORD1911_AGESEX

Date accessed: 29th March 2024