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 0 Show data context 2 Show data context 37 Show data context 31 Show data context 14 Show data context 15 Show data context 21 Show data context 15 Show data context 130 Show data context 320 Show data context 275 Show data context 141 Show data context 51 Show data context 32 Show data context
Defence 0 Show data context 2 Show data context 0 Show data context 0 Show data context 2 Show data context 45 Show data context 77 Show data context 34 Show data context 61 Show data context 120 Show data context 142 Show data context 68 Show data context 66 Show data context 98 Show data context
Professional Occupations 3 Show data context 3 Show data context 20 Show data context 20 Show data context 48 Show data context 32 Show data context 33 Show data context 38 Show data context 175 Show data context 475 Show data context 522 Show data context 421 Show data context 305 Show data context 175 Show data context
Domestic Services 7 Show data context 27 Show data context 87 Show data context 130 Show data context 158 Show data context 161 Show data context 154 Show data context 144 Show data context 670 Show data context 1,239 Show data context 1,013 Show data context 693 Show data context 384 Show data context 198 Show data context
Commercial Occupations 0 Show data context 0 Show data context 20 Show data context 31 Show data context 37 Show data context 27 Show data context 48 Show data context 32 Show data context 209 Show data context 368 Show data context 325 Show data context 209 Show data context 135 Show data context 56 Show data context
Transport 29 Show data context 44 Show data context 254 Show data context 239 Show data context 215 Show data context 122 Show data context 111 Show data context 132 Show data context 599 Show data context 1,165 Show data context 913 Show data context 694 Show data context 331 Show data context 123 Show data context
Agriculture 6 Show data context 33 Show data context 313 Show data context 402 Show data context 460 Show data context 419 Show data context 427 Show data context 370 Show data context 1,632 Show data context 2,905 Show data context 2,707 Show data context 2,403 Show data context 1,873 Show data context 1,446 Show data context
Mines and Quarries
Metals, Machines 0 Show data context 0 Show data context 3 Show data context 1 Show data context 1 Show data context 3 Show data context 4 Show data context 5 Show data context 35 Show data context 105 Show data context 88 Show data context 60 Show data context 37 Show data context 26 Show data context
Jewelry, Instruments 1 Show data context 0 Show data context 32 Show data context 51 Show data context 63 Show data context 63 Show data context 70 Show data context 54 Show data context 265 Show data context 496 Show data context 397 Show data context 285 Show data context 176 Show data context 92 Show data context
Building 0 Show data context 0 Show data context 3 Show data context 5 Show data context 7 Show data context 0 Show data context 2 Show data context 3 Show data context 30 Show data context 65 Show data context 50 Show data context 37 Show data context 24 Show data context 7 Show data context
Wood, Furniture 0 Show data context 4 Show data context 34 Show data context 66 Show data context 90 Show data context 93 Show data context 91 Show data context 118 Show data context 626 Show data context 1,681 Show data context 1,292 Show data context 1,126 Show data context 703 Show data context 361 Show data context
Brick, Cement 0 Show data context 0 Show data context 14 Show data context 29 Show data context 28 Show data context 22 Show data context 23 Show data context 19 Show data context 100 Show data context 246 Show data context 225 Show data context 167 Show data context 116 Show data context 79 Show data context
Chemicals 0 Show data context 2 Show data context 4 Show data context 22 Show data context 15 Show data context 15 Show data context 13 Show data context 13 Show data context 64 Show data context 162 Show data context 133 Show data context 86 Show data context 39 Show data context 27 Show data context
Skins, Leather 0 Show data context 1 Show data context 3 Show data context 0 Show data context 6 Show data context 3 Show data context 8 Show data context 4 Show data context 25 Show data context 68 Show data context 37 Show data context 40 Show data context 21 Show data context 6 Show data context
Paper, Prints 0 Show data context 0 Show data context 3 Show data context 6 Show data context 3 Show data context 4 Show data context 3 Show data context 4 Show data context 29 Show data context 50 Show data context 57 Show data context 49 Show data context 34 Show data context 22 Show data context
Textile Fabrics 1 Show data context 2 Show data context 26 Show data context 22 Show data context 18 Show data context 20 Show data context 21 Show data context 12 Show data context 66 Show data context 101 Show data context 66 Show data context 45 Show data context 42 Show data context 11 Show data context
Dress 0 Show data context 2 Show data context 4 Show data context 17 Show data context 17 Show data context 25 Show data context 22 Show data context 10 Show data context 51 Show data context 81 Show data context 78 Show data context 47 Show data context 31 Show data context 22 Show data context
Food, Drink 1 Show data context 5 Show data context 22 Show data context 29 Show data context 36 Show data context 39 Show data context 34 Show data context 29 Show data context 131 Show data context 261 Show data context 229 Show data context 179 Show data context 117 Show data context 114 Show data context
Gas, Water 2 Show data context 6 Show data context 74 Show data context 137 Show data context 162 Show data context 171 Show data context 187 Show data context 155 Show data context 662 Show data context 1,207 Show data context 979 Show data context 690 Show data context 382 Show data context 214 Show data context
Other and Undefined 0 Show data context 0 Show data context 1 Show data context 0 Show data context 2 Show data context 3 Show data context 2 Show data context 1 Show data context 22 Show data context 83 Show data context 88 Show data context 72 Show data context 44 Show data context 15 Show data context
Unoccupied 35 Show data context 25 Show data context 39 Show data context 34 Show data context 46 Show data context 56 Show data context 43 Show data context 31 Show data context 238 Show data context 618 Show data context 578 Show data context 470 Show data context 364 Show data context 268 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 0 Show data context 3 Show data context 3 Show data context 7 Show data context 11 Show data context 12 Show data context 58 Show data context 100 Show data context 46 Show data context 27 Show data context 16 Show data context 7 Show data context
Defence
Professional Occupations 2 Show data context 1 Show data context 5 Show data context 12 Show data context 23 Show data context 40 Show data context 47 Show data context 59 Show data context 366 Show data context 731 Show data context 558 Show data context 354 Show data context 208 Show data context 76 Show data context
Domestic Services 1 Show data context 19 Show data context 353 Show data context 590 Show data context 748 Show data context 799 Show data context 743 Show data context 754 Show data context 3,114 Show data context 3,025 Show data context 1,797 Show data context 1,230 Show data context 819 Show data context 366 Show data context
Commercial Occupations 0 Show data context 0 Show data context 5 Show data context 12 Show data context 15 Show data context 10 Show data context 22 Show data context 18 Show data context 96 Show data context 86 Show data context 45 Show data context 10 Show data context 7 Show data context 2 Show data context
Transport 0 Show data context 2 Show data context 1 Show data context 2 Show data context 1 Show data context 4 Show data context 2 Show data context 3 Show data context 4 Show data context 11 Show data context 6 Show data context 8 Show data context 6 Show data context 6 Show data context
Agriculture 0 Show data context 0 Show data context 6 Show data context 12 Show data context 14 Show data context 12 Show data context 12 Show data context 8 Show data context 68 Show data context 91 Show data context 80 Show data context 43 Show data context 58 Show data context 41 Show data context
Mines and Quarries
Metals, Machines 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 6 Show data context 4 Show data context 1 Show data context
Jewelry, Instruments 0 Show data context 0 Show data context 0 Show data context 0 Show data context 2 Show data context 1 Show data context 0 Show data context 2 Show data context 3 Show data context 13 Show data context 6 Show data context 7 Show data context 7 Show data context 7 Show data context
Building 0 Show data context 0 Show data context 2 Show data context 1 Show data context 1 Show data context 2 Show data context 1 Show data context 0 Show data context 3 Show data context 6 Show data context 5 Show data context 3 Show data context 3 Show data context 1 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 0 Show data context 1 Show data context 1 Show data context 0 Show data context
Brick, Cement 0 Show data context 0 Show data context 0 Show data context 3 Show data context 2 Show data context 1 Show data context 2 Show data context 1 Show data context 7 Show data context 9 Show data context 8 Show data context 8 Show data context 7 Show data context 2 Show data context
Chemicals 0 Show data context 0 Show data context 0 Show data context 0 Show data context 0 Show data context 1 Show data context 3 Show data context 0 Show data context 5 Show data context 5 Show data context 5 Show data context 3 Show data context 3 Show data context 4 Show data context
Skins, Leather 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 1 Show data context 3 Show data context 3 Show data context 1 Show data context 1 Show data context 1 Show data context 1 Show data context
Paper, Prints 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 2 Show data context 2 Show data context 1 Show data context 2 Show data context 1 Show data context 0 Show data context
Textile Fabrics 0 Show data context 0 Show data context 3 Show data context 2 Show data context 7 Show data context 3 Show data context 4 Show data context 8 Show data context 27 Show data context 31 Show data context 20 Show data context 17 Show data context 18 Show data context 2 Show data context
Dress 0 Show data context 1 Show data context 10 Show data context 34 Show data context 40 Show data context 43 Show data context 37 Show data context 31 Show data context 136 Show data context 123 Show data context 50 Show data context 32 Show data context 17 Show data context 7 Show data context
Food, Drink 0 Show data context 1 Show data context 60 Show data context 92 Show data context 109 Show data context 113 Show data context 96 Show data context 77 Show data context 413 Show data context 437 Show data context 287 Show data context 215 Show data context 126 Show data context 79 Show data context
Gas, Water 0 Show data context 1 Show data context 19 Show data context 25 Show data context 35 Show data context 47 Show data context 47 Show data context 42 Show data context 238 Show data context 385 Show data context 475 Show data context 482 Show data context 393 Show data context 225 Show data context
Other and Undefined
Unoccupied 0 Show data context 0 Show data context 4 Show data context 10 Show data context 16 Show data context 11 Show data context 9 Show data context 11 Show data context 35 Show data context 50 Show data context 50 Show data context 35 Show data context 25 Show data context 14 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, West Sussex 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/10001201/cube/OCC_ORD1911_AGESEX

Date accessed: 24th October 2021