Persons Aged over 10 by Sex, Age and 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 1 Show data context 9 Show data context 146 Show data context 206 Show data context 145 Show data context 161 Show data context 125 Show data context 151 Show data context 882 Show data context 2,584 Show data context 2,349 Show data context 1,326 Show data context 536 Show data context 172 Show data context
Defence 0 Show data context 2 Show data context 36 Show data context 144 Show data context 199 Show data context 848 Show data context 2,029 Show data context 2,381 Show data context 8,929 Show data context 9,524 Show data context 3,329 Show data context 552 Show data context 239 Show data context 250 Show data context
Professional Occupations 3 Show data context 7 Show data context 95 Show data context 130 Show data context 167 Show data context 172 Show data context 201 Show data context 184 Show data context 1,145 Show data context 2,823 Show data context 2,742 Show data context 2,198 Show data context 1,255 Show data context 757 Show data context
Domestic Services 31 Show data context 76 Show data context 438 Show data context 534 Show data context 587 Show data context 534 Show data context 492 Show data context 496 Show data context 2,319 Show data context 4,020 Show data context 3,394 Show data context 2,424 Show data context 1,466 Show data context 779 Show data context
Commercial Occupations 0 Show data context 2 Show data context 103 Show data context 229 Show data context 348 Show data context 428 Show data context 454 Show data context 450 Show data context 2,004 Show data context 3,612 Show data context 3,062 Show data context 1,927 Show data context 1,047 Show data context 458 Show data context
Transport 138 Show data context 301 Show data context 1,524 Show data context 1,528 Show data context 1,257 Show data context 913 Show data context 805 Show data context 757 Show data context 3,789 Show data context 8,849 Show data context 7,496 Show data context 5,059 Show data context 2,830 Show data context 1,020 Show data context
Agriculture 5 Show data context 134 Show data context 910 Show data context 1,329 Show data context 1,402 Show data context 1,381 Show data context 1,313 Show data context 1,178 Show data context 4,943 Show data context 8,971 Show data context 8,256 Show data context 8,124 Show data context 6,356 Show data context 5,132 Show data context
Mines and Quarries
Metals, Machines 0 Show data context 1 Show data context 20 Show data context 26 Show data context 42 Show data context 36 Show data context 40 Show data context 46 Show data context 237 Show data context 774 Show data context 693 Show data context 540 Show data context 310 Show data context 148 Show data context
Jewelry, Instruments 0 Show data context 6 Show data context 246 Show data context 573 Show data context 785 Show data context 759 Show data context 778 Show data context 819 Show data context 4,129 Show data context 7,562 Show data context 6,352 Show data context 4,456 Show data context 2,323 Show data context 775 Show data context
Building 0 Show data context 0 Show data context 33 Show data context 46 Show data context 51 Show data context 63 Show data context 61 Show data context 53 Show data context 288 Show data context 520 Show data context 415 Show data context 335 Show data context 154 Show data context 107 Show data context
Wood, Furniture 0 Show data context 3 Show data context 118 Show data context 270 Show data context 364 Show data context 405 Show data context 434 Show data context 475 Show data context 2,725 Show data context 7,833 Show data context 6,492 Show data context 5,667 Show data context 3,479 Show data context 1,725 Show data context
Brick, Cement 0 Show data context 4 Show data context 67 Show data context 121 Show data context 141 Show data context 151 Show data context 136 Show data context 136 Show data context 591 Show data context 1,149 Show data context 1,107 Show data context 909 Show data context 586 Show data context 345 Show data context
Chemicals 1 Show data context 15 Show data context 135 Show data context 184 Show data context 255 Show data context 245 Show data context 217 Show data context 247 Show data context 1,011 Show data context 2,132 Show data context 1,842 Show data context 1,330 Show data context 749 Show data context 376 Show data context
Skins, Leather 0 Show data context 7 Show data context 42 Show data context 74 Show data context 92 Show data context 88 Show data context 81 Show data context 87 Show data context 345 Show data context 732 Show data context 602 Show data context 405 Show data context 227 Show data context 92 Show data context
Paper, Prints 0 Show data context 0 Show data context 16 Show data context 26 Show data context 37 Show data context 33 Show data context 34 Show data context 32 Show data context 182 Show data context 361 Show data context 363 Show data context 254 Show data context 146 Show data context 82 Show data context
Textile Fabrics 4 Show data context 17 Show data context 202 Show data context 283 Show data context 308 Show data context 285 Show data context 285 Show data context 255 Show data context 1,074 Show data context 1,855 Show data context 1,417 Show data context 979 Show data context 518 Show data context 215 Show data context
Dress 0 Show data context 2 Show data context 33 Show data context 66 Show data context 77 Show data context 95 Show data context 81 Show data context 79 Show data context 289 Show data context 555 Show data context 477 Show data context 334 Show data context 223 Show data context 131 Show data context
Food, Drink 8 Show data context 18 Show data context 119 Show data context 195 Show data context 197 Show data context 222 Show data context 227 Show data context 219 Show data context 874 Show data context 1,594 Show data context 1,494 Show data context 1,004 Show data context 714 Show data context 597 Show data context
Gas, Water 3 Show data context 29 Show data context 412 Show data context 772 Show data context 1,025 Show data context 1,151 Show data context 1,169 Show data context 1,011 Show data context 4,156 Show data context 7,058 Show data context 6,226 Show data context 4,158 Show data context 2,383 Show data context 1,102 Show data context
Other and Undefined 0 Show data context 0 Show data context 6 Show data context 17 Show data context 20 Show data context 33 Show data context 28 Show data context 35 Show data context 187 Show data context 731 Show data context 774 Show data context 562 Show data context 285 Show data context 154 Show data context
Unoccupied 114 Show data context 132 Show data context 213 Show data context 297 Show data context 381 Show data context 369 Show data context 420 Show data context 456 Show data context 2,076 Show data context 4,993 Show data context 4,847 Show data context 3,959 Show data context 2,561 Show data context 1,357 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 3 Show data context 17 Show data context 39 Show data context 39 Show data context 56 Show data context 54 Show data context 317 Show data context 422 Show data context 273 Show data context 126 Show data context 75 Show data context 29 Show data context
Defence
Professional Occupations 2 Show data context 0 Show data context 25 Show data context 41 Show data context 80 Show data context 167 Show data context 234 Show data context 253 Show data context 2,236 Show data context 3,727 Show data context 2,470 Show data context 1,617 Show data context 918 Show data context 402 Show data context
Domestic Services 5 Show data context 69 Show data context 1,210 Show data context 2,573 Show data context 3,334 Show data context 3,758 Show data context 4,103 Show data context 3,973 Show data context 16,654 Show data context 14,517 Show data context 7,951 Show data context 5,896 Show data context 3,384 Show data context 1,650 Show data context
Commercial Occupations 0 Show data context 0 Show data context 29 Show data context 82 Show data context 134 Show data context 165 Show data context 189 Show data context 191 Show data context 790 Show data context 763 Show data context 213 Show data context 71 Show data context 29 Show data context 6 Show data context
Transport 1 Show data context 1 Show data context 7 Show data context 8 Show data context 17 Show data context 16 Show data context 27 Show data context 12 Show data context 59 Show data context 71 Show data context 41 Show data context 52 Show data context 36 Show data context 22 Show data context
Agriculture 0 Show data context 5 Show data context 41 Show data context 54 Show data context 63 Show data context 95 Show data context 89 Show data context 66 Show data context 335 Show data context 444 Show data context 410 Show data context 382 Show data context 264 Show data context 218 Show data context
Mines and Quarries
Metals, Machines 0 Show data context 0 Show data context 1 Show data context 0 Show data context 0 Show data context 1 Show data context 0 Show data context 0 Show data context 3 Show data context 5 Show data context 6 Show data context 8 Show data context 8 Show data context 4 Show data context
Jewelry, Instruments 0 Show data context 0 Show data context 5 Show data context 20 Show data context 20 Show data context 23 Show data context 20 Show data context 15 Show data context 52 Show data context 43 Show data context 31 Show data context 22 Show data context 18 Show data context 12 Show data context
Building 0 Show data context 0 Show data context 3 Show data context 9 Show data context 12 Show data context 11 Show data context 5 Show data context 5 Show data context 24 Show data context 45 Show data context 29 Show data context 26 Show data context 17 Show data context 7 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 1 Show data context 4 Show data context 5 Show data context 7 Show data context
Brick, Cement 0 Show data context 0 Show data context 3 Show data context 9 Show data context 17 Show data context 13 Show data context 16 Show data context 7 Show data context 62 Show data context 57 Show data context 69 Show data context 73 Show data context 48 Show data context 36 Show data context
Chemicals 0 Show data context 0 Show data context 2 Show data context 6 Show data context 5 Show data context 9 Show data context 9 Show data context 8 Show data context 37 Show data context 23 Show data context 14 Show data context 14 Show data context 3 Show data context 5 Show data context
Skins, Leather 0 Show data context 0 Show data context 6 Show data context 21 Show data context 69 Show data context 84 Show data context 92 Show data context 85 Show data context 270 Show data context 165 Show data context 44 Show data context 24 Show data context 6 Show data context 2 Show data context
Paper, Prints 0 Show data context 0 Show data context 1 Show data context 3 Show data context 2 Show data context 3 Show data context 4 Show data context 4 Show data context 12 Show data context 13 Show data context 13 Show data context 15 Show data context 7 Show data context 10 Show data context
Textile Fabrics 0 Show data context 2 Show data context 31 Show data context 82 Show data context 138 Show data context 136 Show data context 191 Show data context 167 Show data context 668 Show data context 624 Show data context 384 Show data context 281 Show data context 171 Show data context 53 Show data context
Dress 0 Show data context 2 Show data context 88 Show data context 177 Show data context 222 Show data context 211 Show data context 205 Show data context 213 Show data context 865 Show data context 780 Show data context 356 Show data context 228 Show data context 96 Show data context 37 Show data context
Food, Drink 0 Show data context 7 Show data context 356 Show data context 674 Show data context 771 Show data context 708 Show data context 725 Show data context 637 Show data context 2,738 Show data context 2,784 Show data context 1,741 Show data context 1,260 Show data context 840 Show data context 535 Show data context
Gas, Water 2 Show data context 6 Show data context 88 Show data context 150 Show data context 201 Show data context 276 Show data context 305 Show data context 321 Show data context 1,681 Show data context 2,362 Show data context 2,502 Show data context 2,336 Show data context 1,582 Show data context 968 Show data context
Other and Undefined
Unoccupied 0 Show data context 0 Show data context 46 Show data context 79 Show data context 84 Show data context 91 Show data context 95 Show data context 74 Show data context 315 Show data context 459 Show data context 413 Show data context 419 Show data context 275 Show data context 162 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, Kent AdmC through time | Industry Statistics | Persons Aged over 10 by Sex, Age and 1911 Occupational Order, A Vision of Britain through Time.

URL: http://www.visionofbritain.org.uk/unit/10073870/cube/OCC_ORD1911_AGESEX

Date accessed: 16th October 2021