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 4 Show data context 28 Show data context 35 Show data context 21 Show data context 13 Show data context 18 Show data context 19 Show data context 142 Show data context 504 Show data context 357 Show data context 210 Show data context 87 Show data context 44 Show data context
Defence 0 Show data context 0 Show data context 0 Show data context 0 Show data context 1 Show data context 4 Show data context 7 Show data context 6 Show data context 33 Show data context 30 Show data context 13 Show data context 4 Show data context 3 Show data context 3 Show data context
Professional Occupations 3 Show data context 6 Show data context 28 Show data context 33 Show data context 36 Show data context 50 Show data context 40 Show data context 40 Show data context 247 Show data context 621 Show data context 542 Show data context 434 Show data context 251 Show data context 88 Show data context
Domestic Services 1 Show data context 4 Show data context 11 Show data context 13 Show data context 13 Show data context 25 Show data context 19 Show data context 23 Show data context 183 Show data context 406 Show data context 286 Show data context 240 Show data context 164 Show data context 99 Show data context
Commercial Occupations 0 Show data context 8 Show data context 56 Show data context 88 Show data context 137 Show data context 169 Show data context 181 Show data context 155 Show data context 757 Show data context 1,325 Show data context 960 Show data context 603 Show data context 307 Show data context 147 Show data context
Transport 54 Show data context 338 Show data context 694 Show data context 459 Show data context 310 Show data context 188 Show data context 179 Show data context 140 Show data context 1,029 Show data context 2,469 Show data context 1,806 Show data context 1,094 Show data context 591 Show data context 154 Show data context
Agriculture 0 Show data context 4 Show data context 6 Show data context 11 Show data context 15 Show data context 12 Show data context 14 Show data context 17 Show data context 87 Show data context 145 Show data context 166 Show data context 173 Show data context 156 Show data context 126 Show data context
Mines & Quarries
Metals, Machines 0 Show data context 16 Show data context 91 Show data context 159 Show data context 196 Show data context 214 Show data context 214 Show data context 194 Show data context 972 Show data context 1,813 Show data context 1,438 Show data context 1,138 Show data context 620 Show data context 201 Show data context
Jewelry, Instruments 1 Show data context 18 Show data context 141 Show data context 255 Show data context 288 Show data context 343 Show data context 371 Show data context 359 Show data context 1,473 Show data context 2,709 Show data context 1,913 Show data context 1,347 Show data context 854 Show data context 337 Show data context
Building 0 Show data context 6 Show data context 9 Show data context 12 Show data context 21 Show data context 26 Show data context 13 Show data context 13 Show data context 108 Show data context 168 Show data context 123 Show data context 102 Show data context 54 Show data context 18 Show data context
Wood, Furniture 0 Show data context 5 Show data context 44 Show data context 59 Show data context 91 Show data context 90 Show data context 86 Show data context 110 Show data context 644 Show data context 1,749 Show data context 1,334 Show data context 1,227 Show data context 798 Show data context 295 Show data context
Brick, Cement 2 Show data context 7 Show data context 38 Show data context 63 Show data context 84 Show data context 58 Show data context 85 Show data context 78 Show data context 365 Show data context 859 Show data context 587 Show data context 408 Show data context 243 Show data context 105 Show data context
Chemicals 0 Show data context 23 Show data context 31 Show data context 24 Show data context 34 Show data context 29 Show data context 30 Show data context 23 Show data context 105 Show data context 165 Show data context 100 Show data context 52 Show data context 40 Show data context 13 Show data context
Skins, Leather 0 Show data context 2 Show data context 18 Show data context 21 Show data context 19 Show data context 20 Show data context 20 Show data context 18 Show data context 89 Show data context 189 Show data context 127 Show data context 72 Show data context 41 Show data context 17 Show data context
Paper, Prints 0 Show data context 3 Show data context 20 Show data context 23 Show data context 31 Show data context 22 Show data context 24 Show data context 30 Show data context 114 Show data context 229 Show data context 225 Show data context 139 Show data context 107 Show data context 52 Show data context
Textile Fabrics 0 Show data context 41 Show data context 130 Show data context 173 Show data context 147 Show data context 132 Show data context 97 Show data context 88 Show data context 383 Show data context 570 Show data context 455 Show data context 308 Show data context 164 Show data context 62 Show data context
Dress 0 Show data context 77 Show data context 216 Show data context 308 Show data context 308 Show data context 352 Show data context 359 Show data context 296 Show data context 1,428 Show data context 2,029 Show data context 1,899 Show data context 1,959 Show data context 1,140 Show data context 592 Show data context
Food, Drink 6 Show data context 10 Show data context 25 Show data context 41 Show data context 76 Show data context 68 Show data context 64 Show data context 60 Show data context 291 Show data context 652 Show data context 601 Show data context 425 Show data context 291 Show data context 216 Show data context
Gas, Water 1 Show data context 26 Show data context 115 Show data context 170 Show data context 230 Show data context 251 Show data context 263 Show data context 225 Show data context 1,054 Show data context 1,996 Show data context 1,489 Show data context 1,127 Show data context 672 Show data context 269 Show data context
Other & Undefined 0 Show data context 0 Show data context 0 Show data context 1 Show data context 1 Show data context 3 Show data context 5 Show data context 5 Show data context 52 Show data context 229 Show data context 317 Show data context 236 Show data context 134 Show data context 52 Show data context
Unoccupied 29 Show data context 20 Show data context 35 Show data context 55 Show data context 85 Show data context 81 Show data context 88 Show data context 90 Show data context 403 Show data context 1,026 Show data context 1,008 Show data context 811 Show data context 501 Show data context 226 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 1 Show data context 1 Show data context 2 Show data context 6 Show data context 7 Show data context 9 Show data context 9 Show data context 51 Show data context 114 Show data context 42 Show data context 18 Show data context 10 Show data context 3 Show data context
Defence
Professional Occupations 2 Show data context 2 Show data context 4 Show data context 4 Show data context 6 Show data context 32 Show data context 34 Show data context 44 Show data context 364 Show data context 691 Show data context 419 Show data context 242 Show data context 127 Show data context 52 Show data context
Domestic Services 0 Show data context 37 Show data context 146 Show data context 211 Show data context 278 Show data context 355 Show data context 420 Show data context 421 Show data context 1,954 Show data context 1,838 Show data context 1,082 Show data context 871 Show data context 486 Show data context 198 Show data context
Commercial Occupations 0 Show data context 2 Show data context 32 Show data context 57 Show data context 97 Show data context 98 Show data context 110 Show data context 99 Show data context 427 Show data context 317 Show data context 67 Show data context 19 Show data context 8 Show data context 5 Show data context
Transport 1 Show data context 178 Show data context 385 Show data context 182 Show data context 58 Show data context 23 Show data context 15 Show data context 6 Show data context 32 Show data context 17 Show data context 4 Show data context 8 Show data context 7 Show data context 2 Show data context
Agriculture 0 Show data context 0 Show data context 1 Show data context 1 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 4 Show data context 3 Show data context 3 Show data context 1 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 1 Show data context 0 Show data context 1 Show data context 0 Show data context 10 Show data context 3 Show data context 7 Show data context 9 Show data context 5 Show data context
Jewelry, Instruments 0 Show data context 0 Show data context 7 Show data context 21 Show data context 32 Show data context 34 Show data context 54 Show data context 32 Show data context 150 Show data context 107 Show data context 39 Show data context 10 Show data context 11 Show data context 6 Show data context
Building 0 Show data context 2 Show data context 5 Show data context 8 Show data context 15 Show data context 8 Show data context 8 Show data context 13 Show data context 36 Show data context 34 Show data context 23 Show data context 9 Show data context 4 Show data context 3 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 1 Show data context 0 Show data context 1 Show data context 2 Show data context 0 Show data context
Brick, Cement 0 Show data context 8 Show data context 11 Show data context 11 Show data context 16 Show data context 26 Show data context 13 Show data context 12 Show data context 81 Show data context 74 Show data context 34 Show data context 16 Show data context 16 Show data context 8 Show data context
Chemicals 0 Show data context 0 Show data context 0 Show data context 1 Show data context 1 Show data context 1 Show data context 0 Show data context 0 Show data context 8 Show data context 8 Show data context 9 Show data context 3 Show data context 1 Show data context 0 Show data context
Skins, Leather 0 Show data context 2 Show data context 16 Show data context 18 Show data context 28 Show data context 21 Show data context 20 Show data context 16 Show data context 39 Show data context 33 Show data context 6 Show data context 4 Show data context 1 Show data context 1 Show data context
Paper, Prints 0 Show data context 0 Show data context 2 Show data context 1 Show data context 11 Show data context 6 Show data context 4 Show data context 4 Show data context 24 Show data context 21 Show data context 10 Show data context 4 Show data context 9 Show data context 2 Show data context
Textile Fabrics 0 Show data context 31 Show data context 94 Show data context 92 Show data context 119 Show data context 110 Show data context 90 Show data context 112 Show data context 396 Show data context 298 Show data context 153 Show data context 98 Show data context 49 Show data context 20 Show data context
Dress 1 Show data context 160 Show data context 658 Show data context 990 Show data context 1,105 Show data context 1,127 Show data context 1,104 Show data context 1,093 Show data context 4,100 Show data context 4,542 Show data context 2,947 Show data context 2,401 Show data context 1,459 Show data context 756 Show data context
Food, Drink 1 Show data context 68 Show data context 238 Show data context 351 Show data context 443 Show data context 425 Show data context 445 Show data context 433 Show data context 1,950 Show data context 2,044 Show data context 909 Show data context 517 Show data context 260 Show data context 112 Show data context
Gas, Water 0 Show data context 32 Show data context 114 Show data context 126 Show data context 134 Show data context 131 Show data context 138 Show data context 140 Show data context 645 Show data context 1,019 Show data context 744 Show data context 657 Show data context 416 Show data context 168 Show data context
Other & Undefined
Unoccupied 0 Show data context 7 Show data context 29 Show data context 31 Show data context 34 Show data context 26 Show data context 25 Show data context 28 Show data context 99 Show data context 147 Show data context 122 Show data context 106 Show data context 73 Show data context 37 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, Nottingham CB/MB 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/10001389/cube/OCC_ORD1911_AGESEX

Date accessed: 01st May 2024