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 1 Show data context 32 Show data context 41 Show data context 35 Show data context 22 Show data context 21 Show data context 22 Show data context 278 Show data context 486 Show data context 345 Show data context 184 Show data context 68 Show data context 32 Show data context
Defence 0 Show data context 0 Show data context 0 Show data context 3 Show data context 6 Show data context 6 Show data context 16 Show data context 15 Show data context 261 Show data context 155 Show data context 21 Show data context 7 Show data context 0 Show data context 1 Show data context
Professional Occupations 0 Show data context 0 Show data context 10 Show data context 27 Show data context 34 Show data context 48 Show data context 65 Show data context 37 Show data context 261 Show data context 438 Show data context 327 Show data context 287 Show data context 203 Show data context 102 Show data context
Domestic Services 0 Show data context 0 Show data context 7 Show data context 15 Show data context 20 Show data context 19 Show data context 27 Show data context 30 Show data context 139 Show data context 308 Show data context 299 Show data context 212 Show data context 142 Show data context 62 Show data context
Commercial Occupations 0 Show data context 2 Show data context 75 Show data context 168 Show data context 196 Show data context 226 Show data context 214 Show data context 212 Show data context 845 Show data context 883 Show data context 440 Show data context 300 Show data context 166 Show data context 68 Show data context
Transport 7 Show data context 22 Show data context 552 Show data context 675 Show data context 563 Show data context 418 Show data context 400 Show data context 415 Show data context 1,914 Show data context 4,645 Show data context 4,209 Show data context 3,018 Show data context 1,553 Show data context 492 Show data context
Agriculture 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 21 Show data context 36 Show data context 27 Show data context 19 Show data context 12 Show data context 6 Show data context
Mines & Quarries
Metals, Machines 0 Show data context 0 Show data context 4 Show data context 3 Show data context 1 Show data context 5 Show data context 3 Show data context 3 Show data context 12 Show data context 42 Show data context 38 Show data context 30 Show data context 13 Show data context 5 Show data context
Jewelry, Instruments 0 Show data context 0 Show data context 62 Show data context 97 Show data context 147 Show data context 126 Show data context 120 Show data context 145 Show data context 581 Show data context 976 Show data context 701 Show data context 569 Show data context 364 Show data context 173 Show data context
Building 0 Show data context 0 Show data context 24 Show data context 56 Show data context 42 Show data context 56 Show data context 50 Show data context 51 Show data context 162 Show data context 216 Show data context 164 Show data context 101 Show data context 53 Show data context 17 Show data context
Wood, Furniture 0 Show data context 1 Show data context 18 Show data context 25 Show data context 34 Show data context 51 Show data context 41 Show data context 44 Show data context 299 Show data context 865 Show data context 793 Show data context 750 Show data context 463 Show data context 169 Show data context
Brick, Cement 0 Show data context 2 Show data context 81 Show data context 149 Show data context 133 Show data context 163 Show data context 167 Show data context 122 Show data context 667 Show data context 1,161 Show data context 774 Show data context 559 Show data context 303 Show data context 129 Show data context
Chemicals 0 Show data context 0 Show data context 9 Show data context 8 Show data context 13 Show data context 11 Show data context 7 Show data context 5 Show data context 43 Show data context 89 Show data context 48 Show data context 28 Show data context 16 Show data context 11 Show data context
Skins, Leather 0 Show data context 0 Show data context 26 Show data context 20 Show data context 32 Show data context 31 Show data context 39 Show data context 49 Show data context 184 Show data context 320 Show data context 204 Show data context 118 Show data context 74 Show data context 36 Show data context
Paper, Prints 1 Show data context 1 Show data context 47 Show data context 136 Show data context 122 Show data context 104 Show data context 105 Show data context 106 Show data context 321 Show data context 416 Show data context 281 Show data context 241 Show data context 102 Show data context 37 Show data context
Textile Fabrics 0 Show data context 1 Show data context 66 Show data context 105 Show data context 125 Show data context 157 Show data context 135 Show data context 120 Show data context 522 Show data context 532 Show data context 335 Show data context 253 Show data context 133 Show data context 43 Show data context
Dress 0 Show data context 0 Show data context 23 Show data context 37 Show data context 49 Show data context 56 Show data context 51 Show data context 49 Show data context 225 Show data context 304 Show data context 231 Show data context 178 Show data context 94 Show data context 48 Show data context
Food, Drink 1 Show data context 5 Show data context 309 Show data context 602 Show data context 690 Show data context 687 Show data context 694 Show data context 587 Show data context 3,074 Show data context 5,960 Show data context 4,306 Show data context 2,410 Show data context 961 Show data context 407 Show data context
Gas, Water 2 Show data context 2 Show data context 77 Show data context 173 Show data context 219 Show data context 228 Show data context 254 Show data context 282 Show data context 1,418 Show data context 2,665 Show data context 2,104 Show data context 1,600 Show data context 797 Show data context 310 Show data context
Other & Undefined 0 Show data context 0 Show data context 9 Show data context 17 Show data context 10 Show data context 15 Show data context 6 Show data context 11 Show data context 46 Show data context 200 Show data context 201 Show data context 172 Show data context 64 Show data context 19 Show data context
Unoccupied 13 Show data context 13 Show data context 48 Show data context 83 Show data context 97 Show data context 117 Show data context 130 Show data context 142 Show data context 787 Show data context 1,752 Show data context 1,699 Show data context 1,473 Show data context 880 Show data context 381 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 5 Show data context 1 Show data context 5 Show data context 0 Show data context 3 Show data context 3 Show data context 76 Show data context 143 Show data context 69 Show data context 58 Show data context 18 Show data context 7 Show data context
Defence
Professional Occupations 0 Show data context 0 Show data context 3 Show data context 6 Show data context 22 Show data context 22 Show data context 37 Show data context 42 Show data context 315 Show data context 613 Show data context 278 Show data context 179 Show data context 119 Show data context 49 Show data context
Domestic Services 2 Show data context 1 Show data context 62 Show data context 155 Show data context 192 Show data context 204 Show data context 242 Show data context 203 Show data context 1,002 Show data context 1,304 Show data context 1,570 Show data context 1,515 Show data context 929 Show data context 378 Show data context
Commercial Occupations 0 Show data context 0 Show data context 23 Show data context 77 Show data context 81 Show data context 129 Show data context 106 Show data context 111 Show data context 303 Show data context 131 Show data context 33 Show data context 17 Show data context 5 Show data context 1 Show data context
Transport 1 Show data context 1 Show data context 51 Show data context 56 Show data context 39 Show data context 37 Show data context 38 Show data context 19 Show data context 61 Show data context 25 Show data context 16 Show data context 10 Show data context 8 Show data context 4 Show data context
Agriculture 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 0 Show data context 0 Show data context
Mines & Quarries
Metals, Machines 0 Show data context 0 Show data context 1 Show data context 0 Show data context 2 Show data context 0 Show data context 2 Show data context 2 Show data context 2 Show data context 5 Show data context 3 Show data context 1 Show data context 4 Show data context 2 Show data context
Jewelry, Instruments 0 Show data context 0 Show data context 14 Show data context 19 Show data context 34 Show data context 35 Show data context 40 Show data context 22 Show data context 84 Show data context 46 Show data context 20 Show data context 3 Show data context 6 Show data context 1 Show data context
Building 0 Show data context 0 Show data context 6 Show data context 10 Show data context 8 Show data context 11 Show data context 13 Show data context 7 Show data context 26 Show data context 19 Show data context 11 Show data context 7 Show data context 5 Show data context 4 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 1 Show data context 0 Show data context 0 Show data context 0 Show data context 1 Show data context 0 Show data context 1 Show data context
Brick, Cement 0 Show data context 0 Show data context 9 Show data context 21 Show data context 22 Show data context 23 Show data context 28 Show data context 23 Show data context 90 Show data context 80 Show data context 45 Show data context 30 Show data context 16 Show data context 7 Show data context
Chemicals 0 Show data context 0 Show data context 2 Show data context 1 Show data context 0 Show data context 1 Show data context 4 Show data context 3 Show data context 18 Show data context 16 Show data context 6 Show data context 5 Show data context 2 Show data context 0 Show data context
Skins, Leather 0 Show data context 0 Show data context 41 Show data context 55 Show data context 53 Show data context 59 Show data context 68 Show data context 45 Show data context 176 Show data context 82 Show data context 56 Show data context 42 Show data context 12 Show data context 6 Show data context
Paper, Prints 0 Show data context 1 Show data context 80 Show data context 172 Show data context 148 Show data context 116 Show data context 124 Show data context 110 Show data context 370 Show data context 185 Show data context 62 Show data context 57 Show data context 22 Show data context 12 Show data context
Textile Fabrics 0 Show data context 1 Show data context 86 Show data context 145 Show data context 152 Show data context 132 Show data context 160 Show data context 150 Show data context 495 Show data context 351 Show data context 162 Show data context 79 Show data context 38 Show data context 8 Show data context
Dress 0 Show data context 0 Show data context 34 Show data context 63 Show data context 88 Show data context 74 Show data context 67 Show data context 79 Show data context 281 Show data context 268 Show data context 174 Show data context 129 Show data context 47 Show data context 20 Show data context
Food, Drink 4 Show data context 4 Show data context 556 Show data context 1,005 Show data context 1,114 Show data context 1,091 Show data context 1,109 Show data context 1,142 Show data context 4,076 Show data context 2,575 Show data context 1,511 Show data context 963 Show data context 596 Show data context 338 Show data context
Gas, Water 0 Show data context 4 Show data context 193 Show data context 287 Show data context 338 Show data context 358 Show data context 415 Show data context 369 Show data context 1,706 Show data context 1,347 Show data context 702 Show data context 480 Show data context 192 Show data context 85 Show data context
Other & Undefined 0 Show data context 0 Show data context 0 Show data context 2 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 0 Show data context 1 Show data context 0 Show data context 0 Show data context
Unoccupied 0 Show data context 0 Show data context 18 Show data context 35 Show data context 53 Show data context 56 Show data context 73 Show data context 64 Show data context 207 Show data context 209 Show data context 231 Show data context 154 Show data context 124 Show data context 77 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, Stepney MetB 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/10207101/cube/OCC_ORD1911_AGESEX

Date accessed: 30th April 2024