Persons Aged over 10 by Sex, Age & 1911 Occupational Order

No chart.

No chart.

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 24 Show data context 113 Show data context 129 Show data context 96 Show data context 102 Show data context 84 Show data context 79 Show data context 655 Show data context 1,748 Show data context 1,431 Show data context 887 Show data context 333 Show data context 130 Show data context
Defence 0 Show data context 0 Show data context 0 Show data context 0 Show data context 0 Show data context 40 Show data context 85 Show data context 38 Show data context 115 Show data context 167 Show data context 136 Show data context 50 Show data context 23 Show data context 19 Show data context
Professional Occupations 11 Show data context 10 Show data context 65 Show data context 96 Show data context 116 Show data context 138 Show data context 164 Show data context 148 Show data context 996 Show data context 2,342 Show data context 2,186 Show data context 1,691 Show data context 803 Show data context 363 Show data context
Domestic Services 1 Show data context 20 Show data context 131 Show data context 200 Show data context 267 Show data context 274 Show data context 289 Show data context 270 Show data context 1,462 Show data context 2,772 Show data context 2,224 Show data context 1,574 Show data context 902 Show data context 462 Show data context
Commercial Occupations 0 Show data context 17 Show data context 137 Show data context 396 Show data context 650 Show data context 741 Show data context 808 Show data context 737 Show data context 3,305 Show data context 6,147 Show data context 4,934 Show data context 3,058 Show data context 1,734 Show data context 666 Show data context
Transport 264 Show data context 518 Show data context 1,656 Show data context 1,454 Show data context 1,137 Show data context 906 Show data context 882 Show data context 942 Show data context 5,214 Show data context 11,066 Show data context 8,930 Show data context 5,704 Show data context 3,142 Show data context 907 Show data context
Agriculture 10 Show data context 124 Show data context 577 Show data context 816 Show data context 916 Show data context 932 Show data context 938 Show data context 910 Show data context 3,844 Show data context 5,841 Show data context 4,936 Show data context 4,239 Show data context 2,887 Show data context 2,146 Show data context
Mines & Quarries
Metals, Machines 0 Show data context 3 Show data context 42 Show data context 47 Show data context 69 Show data context 86 Show data context 96 Show data context 101 Show data context 477 Show data context 1,260 Show data context 1,081 Show data context 860 Show data context 519 Show data context 218 Show data context
Jewelry, Instruments 5 Show data context 44 Show data context 610 Show data context 908 Show data context 1,205 Show data context 1,331 Show data context 1,423 Show data context 1,473 Show data context 6,319 Show data context 11,740 Show data context 8,892 Show data context 5,576 Show data context 2,997 Show data context 1,052 Show data context
Building 0 Show data context 2 Show data context 16 Show data context 33 Show data context 40 Show data context 43 Show data context 37 Show data context 30 Show data context 164 Show data context 376 Show data context 282 Show data context 226 Show data context 116 Show data context 49 Show data context
Wood, Furniture 0 Show data context 14 Show data context 140 Show data context 292 Show data context 403 Show data context 487 Show data context 469 Show data context 504 Show data context 2,868 Show data context 7,098 Show data context 5,327 Show data context 4,143 Show data context 2,569 Show data context 1,102 Show data context
Brick, Cement 0 Show data context 9 Show data context 64 Show data context 116 Show data context 133 Show data context 103 Show data context 134 Show data context 130 Show data context 540 Show data context 1,300 Show data context 1,019 Show data context 704 Show data context 463 Show data context 208 Show data context
Chemicals 0 Show data context 0 Show data context 11 Show data context 17 Show data context 27 Show data context 35 Show data context 35 Show data context 31 Show data context 154 Show data context 354 Show data context 297 Show data context 196 Show data context 110 Show data context 73 Show data context
Skins, Leather 0 Show data context 1 Show data context 142 Show data context 250 Show data context 239 Show data context 250 Show data context 289 Show data context 281 Show data context 1,400 Show data context 2,807 Show data context 2,547 Show data context 1,817 Show data context 829 Show data context 323 Show data context
Paper, Prints 1 Show data context 6 Show data context 27 Show data context 29 Show data context 42 Show data context 66 Show data context 55 Show data context 48 Show data context 238 Show data context 498 Show data context 395 Show data context 265 Show data context 157 Show data context 76 Show data context
Textile Fabrics 6 Show data context 37 Show data context 94 Show data context 106 Show data context 118 Show data context 152 Show data context 130 Show data context 121 Show data context 526 Show data context 1,032 Show data context 954 Show data context 501 Show data context 258 Show data context 95 Show data context
Dress 294 Show data context 691 Show data context 993 Show data context 1,057 Show data context 1,119 Show data context 1,013 Show data context 1,117 Show data context 963 Show data context 4,090 Show data context 5,859 Show data context 5,074 Show data context 3,599 Show data context 1,758 Show data context 683 Show data context
Food, Drink 31 Show data context 86 Show data context 265 Show data context 338 Show data context 361 Show data context 355 Show data context 360 Show data context 357 Show data context 1,542 Show data context 2,652 Show data context 2,558 Show data context 1,819 Show data context 1,195 Show data context 643 Show data context
Gas, Water 4 Show data context 46 Show data context 337 Show data context 537 Show data context 638 Show data context 708 Show data context 691 Show data context 684 Show data context 2,924 Show data context 5,492 Show data context 4,645 Show data context 3,178 Show data context 1,833 Show data context 725 Show data context
Other & Undefined 0 Show data context 2 Show data context 5 Show data context 4 Show data context 12 Show data context 15 Show data context 26 Show data context 30 Show data context 168 Show data context 744 Show data context 813 Show data context 619 Show data context 303 Show data context 137 Show data context
Unoccupied 134 Show data context 121 Show data context 142 Show data context 168 Show data context 219 Show data context 279 Show data context 295 Show data context 275 Show data context 1,434 Show data context 3,384 Show data context 3,371 Show data context 2,607 Show data context 1,668 Show data context 852 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 5 Show data context 27 Show data context 24 Show data context 39 Show data context 52 Show data context 228 Show data context 356 Show data context 204 Show data context 110 Show data context 36 Show data context 17 Show data context
Defence
Professional Occupations 5 Show data context 2 Show data context 18 Show data context 16 Show data context 33 Show data context 78 Show data context 141 Show data context 198 Show data context 1,942 Show data context 3,103 Show data context 1,671 Show data context 933 Show data context 452 Show data context 171 Show data context
Domestic Services 17 Show data context 165 Show data context 1,062 Show data context 1,667 Show data context 2,034 Show data context 2,338 Show data context 2,638 Show data context 2,545 Show data context 11,522 Show data context 10,933 Show data context 5,571 Show data context 3,764 Show data context 2,179 Show data context 980 Show data context
Commercial Occupations 1 Show data context 7 Show data context 35 Show data context 89 Show data context 151 Show data context 203 Show data context 219 Show data context 222 Show data context 855 Show data context 723 Show data context 172 Show data context 55 Show data context 21 Show data context 7 Show data context
Transport 4 Show data context 10 Show data context 34 Show data context 22 Show data context 25 Show data context 29 Show data context 40 Show data context 37 Show data context 150 Show data context 144 Show data context 62 Show data context 49 Show data context 31 Show data context 14 Show data context
Agriculture 5 Show data context 14 Show data context 66 Show data context 137 Show data context 149 Show data context 189 Show data context 202 Show data context 168 Show data context 772 Show data context 875 Show data context 415 Show data context 310 Show data context 288 Show data context 327 Show data context
Mines & Quarries
Metals, Machines 0 Show data context 1 Show data context 0 Show data context 2 Show data context 3 Show data context 0 Show data context 0 Show data context 2 Show data context 5 Show data context 13 Show data context 13 Show data context 10 Show data context 11 Show data context 8 Show data context
Jewelry, Instruments 1 Show data context 2 Show data context 59 Show data context 64 Show data context 65 Show data context 72 Show data context 63 Show data context 68 Show data context 207 Show data context 170 Show data context 86 Show data context 61 Show data context 28 Show data context 10 Show data context
Building 0 Show data context 0 Show data context 9 Show data context 20 Show data context 10 Show data context 18 Show data context 17 Show data context 11 Show data context 40 Show data context 50 Show data context 34 Show data context 17 Show data context 5 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 2 Show data context 3 Show data context 7 Show data context 7 Show data context
Brick, Cement 0 Show data context 2 Show data context 10 Show data context 12 Show data context 21 Show data context 18 Show data context 18 Show data context 16 Show data context 87 Show data context 100 Show data context 65 Show data context 68 Show data context 38 Show data context 23 Show data context
Chemicals 0 Show data context 0 Show data context 0 Show data context 2 Show data context 1 Show data context 7 Show data context 7 Show data context 3 Show data context 23 Show data context 22 Show data context 32 Show data context 12 Show data context 14 Show data context 4 Show data context
Skins, Leather 2 Show data context 4 Show data context 87 Show data context 110 Show data context 177 Show data context 172 Show data context 188 Show data context 170 Show data context 539 Show data context 244 Show data context 44 Show data context 22 Show data context 18 Show data context 7 Show data context
Paper, Prints 0 Show data context 3 Show data context 11 Show data context 17 Show data context 20 Show data context 21 Show data context 21 Show data context 13 Show data context 82 Show data context 63 Show data context 33 Show data context 18 Show data context 15 Show data context 3 Show data context
Textile Fabrics 0 Show data context 44 Show data context 181 Show data context 256 Show data context 222 Show data context 217 Show data context 188 Show data context 157 Show data context 635 Show data context 473 Show data context 170 Show data context 122 Show data context 86 Show data context 33 Show data context
Dress 338 Show data context 846 Show data context 1,473 Show data context 1,634 Show data context 1,749 Show data context 1,799 Show data context 1,836 Show data context 1,695 Show data context 7,000 Show data context 8,597 Show data context 4,823 Show data context 2,591 Show data context 1,037 Show data context 310 Show data context
Food, Drink 49 Show data context 193 Show data context 678 Show data context 1,016 Show data context 1,087 Show data context 1,066 Show data context 1,031 Show data context 915 Show data context 3,880 Show data context 4,107 Show data context 2,413 Show data context 1,382 Show data context 695 Show data context 305 Show data context
Gas, Water 4 Show data context 26 Show data context 186 Show data context 286 Show data context 354 Show data context 368 Show data context 419 Show data context 382 Show data context 1,863 Show data context 2,675 Show data context 2,391 Show data context 2,068 Show data context 1,387 Show data context 728 Show data context
Other & Undefined
Unoccupied 10 Show data context 8 Show data context 33 Show data context 36 Show data context 50 Show data context 48 Show data context 54 Show data context 50 Show data context 198 Show data context 368 Show data context 292 Show data context 275 Show data context 215 Show data context 130 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'

This website exists to help people doing personal research projects on particular areas within a locality. So long as you are using our data for only a small number of units, you are not making money out of what you are doing, and you are not systematically re-publishing our data, you do not need to request permission from us, but you do need to acknowledge us as your source with the wording:

"This work is based on data provided through www.VisionofBritain.org.uk and uses historical material which is copyright of the Great Britain Historical GIS Project and the University of Portsmouth".

Where the above statement is included in a web page or similar online resource, the reference to "www.VisionofBritain.org.uk" must be a working hyperlink.

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, Cheshire AdmC 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/10152938/cube/OCC_ORD1911_AGESEX

Date accessed: 25th April 2024