Persons Aged over 10 by Sex, Age and 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 1 Show data context 31 Show data context 58 Show data context 46 Show data context 44 Show data context 42 Show data context 29 Show data context 43 Show data context 299 Show data context 784 Show data context 592 Show data context 338 Show data context 166 Show data context 69 Show data context
Defence 0 Show data context 0 Show data context 0 Show data context 0 Show data context 0 Show data context 19 Show data context 60 Show data context 14 Show data context 83 Show data context 104 Show data context 79 Show data context 21 Show data context 7 Show data context 12 Show data context
Professional Occupations 2 Show data context 21 Show data context 39 Show data context 37 Show data context 47 Show data context 61 Show data context 75 Show data context 92 Show data context 546 Show data context 1,175 Show data context 1,047 Show data context 860 Show data context 445 Show data context 214 Show data context
Domestic Services 1 Show data context 27 Show data context 72 Show data context 114 Show data context 138 Show data context 129 Show data context 118 Show data context 103 Show data context 577 Show data context 1,181 Show data context 951 Show data context 683 Show data context 431 Show data context 238 Show data context
Commercial Occupations 1 Show data context 28 Show data context 78 Show data context 142 Show data context 216 Show data context 243 Show data context 222 Show data context 225 Show data context 1,079 Show data context 2,070 Show data context 1,552 Show data context 918 Show data context 496 Show data context 184 Show data context
Transport 82 Show data context 563 Show data context 884 Show data context 537 Show data context 370 Show data context 330 Show data context 352 Show data context 389 Show data context 2,488 Show data context 5,611 Show data context 4,698 Show data context 3,064 Show data context 1,801 Show data context 417 Show data context
Agriculture 10 Show data context 238 Show data context 461 Show data context 548 Show data context 619 Show data context 611 Show data context 552 Show data context 536 Show data context 2,189 Show data context 3,331 Show data context 2,769 Show data context 2,546 Show data context 2,118 Show data context 1,482 Show data context
Mines and Quarries
Metals, Machines 1 Show data context 1,067 Show data context 1,852 Show data context 2,139 Show data context 2,084 Show data context 2,238 Show data context 2,282 Show data context 2,090 Show data context 9,177 Show data context 15,826 Show data context 12,076 Show data context 7,533 Show data context 4,164 Show data context 1,164 Show data context
Jewelry, Instruments 0 Show data context 174 Show data context 507 Show data context 718 Show data context 881 Show data context 934 Show data context 940 Show data context 916 Show data context 4,105 Show data context 8,163 Show data context 6,199 Show data context 4,283 Show data context 2,566 Show data context 840 Show data context
Building 0 Show data context 2 Show data context 8 Show data context 15 Show data context 11 Show data context 24 Show data context 22 Show data context 19 Show data context 92 Show data context 198 Show data context 160 Show data context 115 Show data context 84 Show data context 41 Show data context
Wood, Furniture 1 Show data context 15 Show data context 72 Show data context 128 Show data context 207 Show data context 220 Show data context 222 Show data context 242 Show data context 1,331 Show data context 4,216 Show data context 3,094 Show data context 2,569 Show data context 1,714 Show data context 749 Show data context
Brick, Cement 0 Show data context 20 Show data context 52 Show data context 43 Show data context 65 Show data context 57 Show data context 62 Show data context 49 Show data context 261 Show data context 657 Show data context 480 Show data context 354 Show data context 252 Show data context 118 Show data context
Chemicals 0 Show data context 107 Show data context 160 Show data context 176 Show data context 190 Show data context 153 Show data context 127 Show data context 133 Show data context 510 Show data context 942 Show data context 730 Show data context 451 Show data context 267 Show data context 107 Show data context
Skins, Leather 0 Show data context 2 Show data context 3 Show data context 18 Show data context 22 Show data context 36 Show data context 24 Show data context 19 Show data context 110 Show data context 282 Show data context 240 Show data context 180 Show data context 111 Show data context 59 Show data context
Paper, Prints 0 Show data context 5 Show data context 12 Show data context 21 Show data context 25 Show data context 22 Show data context 22 Show data context 22 Show data context 87 Show data context 210 Show data context 159 Show data context 141 Show data context 85 Show data context 37 Show data context
Textile Fabrics 2 Show data context 28 Show data context 60 Show data context 94 Show data context 90 Show data context 80 Show data context 68 Show data context 71 Show data context 350 Show data context 676 Show data context 550 Show data context 315 Show data context 163 Show data context 54 Show data context
Dress 62 Show data context 284 Show data context 524 Show data context 547 Show data context 620 Show data context 557 Show data context 614 Show data context 548 Show data context 2,426 Show data context 3,370 Show data context 2,675 Show data context 1,887 Show data context 893 Show data context 374 Show data context
Food, Drink 14 Show data context 46 Show data context 85 Show data context 112 Show data context 128 Show data context 121 Show data context 107 Show data context 118 Show data context 495 Show data context 1,067 Show data context 853 Show data context 652 Show data context 403 Show data context 283 Show data context
Gas, Water 2 Show data context 81 Show data context 241 Show data context 325 Show data context 407 Show data context 425 Show data context 370 Show data context 340 Show data context 1,633 Show data context 3,166 Show data context 2,695 Show data context 1,814 Show data context 1,084 Show data context 508 Show data context
Other and Undefined 0 Show data context 1 Show data context 3 Show data context 7 Show data context 14 Show data context 17 Show data context 13 Show data context 15 Show data context 91 Show data context 362 Show data context 370 Show data context 252 Show data context 212 Show data context 80 Show data context
Unoccupied 64 Show data context 64 Show data context 117 Show data context 154 Show data context 175 Show data context 196 Show data context 169 Show data context 176 Show data context 891 Show data context 2,028 Show data context 2,011 Show data context 1,618 Show data context 1,236 Show data context 685 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 8 Show data context 9 Show data context 18 Show data context 23 Show data context 17 Show data context 116 Show data context 172 Show data context 110 Show data context 52 Show data context 34 Show data context 16 Show data context
Defence
Professional Occupations 1 Show data context 1 Show data context 12 Show data context 11 Show data context 42 Show data context 110 Show data context 156 Show data context 138 Show data context 1,309 Show data context 1,711 Show data context 839 Show data context 475 Show data context 247 Show data context 96 Show data context
Domestic Services 11 Show data context 329 Show data context 880 Show data context 1,190 Show data context 1,307 Show data context 1,403 Show data context 1,466 Show data context 1,302 Show data context 4,811 Show data context 3,841 Show data context 2,049 Show data context 1,461 Show data context 903 Show data context 451 Show data context
Commercial Occupations 0 Show data context 2 Show data context 25 Show data context 47 Show data context 66 Show data context 72 Show data context 75 Show data context 75 Show data context 285 Show data context 241 Show data context 63 Show data context 24 Show data context 16 Show data context 4 Show data context
Transport 2 Show data context 22 Show data context 33 Show data context 17 Show data context 10 Show data context 14 Show data context 7 Show data context 10 Show data context 31 Show data context 24 Show data context 16 Show data context 15 Show data context 15 Show data context 8 Show data context
Agriculture 5 Show data context 15 Show data context 54 Show data context 86 Show data context 88 Show data context 90 Show data context 99 Show data context 77 Show data context 403 Show data context 406 Show data context 213 Show data context 187 Show data context 195 Show data context 214 Show data context
Mines and Quarries
Metals, Machines 0 Show data context 0 Show data context 0 Show data context 1 Show data context 1 Show data context 1 Show data context 1 Show data context 1 Show data context 6 Show data context 7 Show data context 8 Show data context 8 Show data context 7 Show data context 10 Show data context
Jewelry, Instruments 0 Show data context 4 Show data context 27 Show data context 49 Show data context 49 Show data context 56 Show data context 43 Show data context 38 Show data context 141 Show data context 69 Show data context 41 Show data context 18 Show data context 16 Show data context 5 Show data context
Building 0 Show data context 1 Show data context 14 Show data context 17 Show data context 17 Show data context 25 Show data context 18 Show data context 17 Show data context 62 Show data context 41 Show data context 16 Show data context 17 Show data context 11 Show data context 8 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 2 Show data context 3 Show data context 0 Show data context
Brick, Cement 0 Show data context 1 Show data context 10 Show data context 28 Show data context 32 Show data context 32 Show data context 35 Show data context 20 Show data context 94 Show data context 59 Show data context 39 Show data context 35 Show data context 15 Show data context 8 Show data context
Chemicals 0 Show data context 40 Show data context 100 Show data context 131 Show data context 115 Show data context 123 Show data context 143 Show data context 95 Show data context 327 Show data context 136 Show data context 43 Show data context 19 Show data context 12 Show data context 4 Show data context
Skins, Leather 0 Show data context 1 Show data context 11 Show data context 10 Show data context 11 Show data context 20 Show data context 10 Show data context 11 Show data context 43 Show data context 27 Show data context 7 Show data context 10 Show data context 4 Show data context 1 Show data context
Paper, Prints 0 Show data context 1 Show data context 3 Show data context 7 Show data context 8 Show data context 10 Show data context 10 Show data context 12 Show data context 20 Show data context 20 Show data context 5 Show data context 6 Show data context 5 Show data context 0 Show data context
Textile Fabrics 1 Show data context 48 Show data context 96 Show data context 137 Show data context 109 Show data context 120 Show data context 134 Show data context 104 Show data context 376 Show data context 280 Show data context 108 Show data context 69 Show data context 25 Show data context 16 Show data context
Dress 70 Show data context 604 Show data context 1,295 Show data context 1,501 Show data context 1,530 Show data context 1,513 Show data context 1,496 Show data context 1,273 Show data context 4,651 Show data context 3,554 Show data context 1,622 Show data context 862 Show data context 343 Show data context 130 Show data context
Food, Drink 2 Show data context 89 Show data context 356 Show data context 445 Show data context 555 Show data context 504 Show data context 489 Show data context 445 Show data context 1,727 Show data context 1,489 Show data context 844 Show data context 482 Show data context 261 Show data context 136 Show data context
Gas, Water 3 Show data context 26 Show data context 69 Show data context 94 Show data context 131 Show data context 148 Show data context 144 Show data context 123 Show data context 720 Show data context 1,167 Show data context 1,140 Show data context 1,010 Show data context 723 Show data context 392 Show data context
Other and Undefined
Unoccupied 1 Show data context 8 Show data context 43 Show data context 58 Show data context 43 Show data context 48 Show data context 49 Show data context 43 Show data context 140 Show data context 178 Show data context 150 Show data context 175 Show data context 111 Show data context 69 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, Derbyshire 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/10061428/cube/OCC_ORD1911_AGESEX

Date accessed: 24th June 2021