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 0 Show data context 28 Show data context 46 Show data context 40 Show data context 39 Show data context 31 Show data context 30 Show data context 274 Show data context 783 Show data context 720 Show data context 421 Show data context 133 Show data context 17 Show data context
Defence 0 Show data context 0 Show data context 0 Show data context 1 Show data context 1 Show data context 2 Show data context 7 Show data context 9 Show data context 42 Show data context 49 Show data context 30 Show data context 17 Show data context 20 Show data context 30 Show data context
Professional Occupations 0 Show data context 1 Show data context 12 Show data context 25 Show data context 28 Show data context 42 Show data context 35 Show data context 45 Show data context 250 Show data context 731 Show data context 816 Show data context 601 Show data context 313 Show data context 149 Show data context
Domestic Services 1 Show data context 1 Show data context 15 Show data context 23 Show data context 31 Show data context 30 Show data context 34 Show data context 25 Show data context 145 Show data context 259 Show data context 265 Show data context 238 Show data context 172 Show data context 99 Show data context
Commercial Occupations 0 Show data context 0 Show data context 54 Show data context 165 Show data context 278 Show data context 328 Show data context 372 Show data context 363 Show data context 1,349 Show data context 2,682 Show data context 2,150 Show data context 1,225 Show data context 646 Show data context 233 Show data context
Transport 38 Show data context 34 Show data context 278 Show data context 315 Show data context 198 Show data context 159 Show data context 115 Show data context 113 Show data context 528 Show data context 1,356 Show data context 1,047 Show data context 700 Show data context 300 Show data context 106 Show data context
Agriculture 0 Show data context 0 Show data context 4 Show data context 9 Show data context 19 Show data context 12 Show data context 24 Show data context 12 Show data context 97 Show data context 178 Show data context 178 Show data context 180 Show data context 169 Show data context 110 Show data context
Mines & Quarries
Metals, Machines 0 Show data context 0 Show data context 0 Show data context 0 Show data context 1 Show data context 2 Show data context 1 Show data context 2 Show data context 6 Show data context 28 Show data context 20 Show data context 22 Show data context 15 Show data context 6 Show data context
Jewelry, Instruments 0 Show data context 0 Show data context 24 Show data context 48 Show data context 92 Show data context 78 Show data context 98 Show data context 82 Show data context 432 Show data context 941 Show data context 787 Show data context 471 Show data context 204 Show data context 104 Show data context
Building 0 Show data context 0 Show data context 4 Show data context 7 Show data context 13 Show data context 16 Show data context 18 Show data context 15 Show data context 70 Show data context 201 Show data context 136 Show data context 90 Show data context 50 Show data context 26 Show data context
Wood, Furniture 0 Show data context 0 Show data context 8 Show data context 28 Show data context 52 Show data context 63 Show data context 64 Show data context 66 Show data context 414 Show data context 1,276 Show data context 1,170 Show data context 921 Show data context 605 Show data context 241 Show data context
Brick, Cement 0 Show data context 0 Show data context 7 Show data context 9 Show data context 6 Show data context 17 Show data context 18 Show data context 13 Show data context 73 Show data context 223 Show data context 224 Show data context 168 Show data context 101 Show data context 53 Show data context
Chemicals 0 Show data context 0 Show data context 1 Show data context 1 Show data context 1 Show data context 1 Show data context 2 Show data context 2 Show data context 7 Show data context 17 Show data context 28 Show data context 25 Show data context 5 Show data context 4 Show data context
Skins, Leather 0 Show data context 0 Show data context 3 Show data context 11 Show data context 5 Show data context 10 Show data context 11 Show data context 7 Show data context 40 Show data context 154 Show data context 141 Show data context 84 Show data context 50 Show data context 31 Show data context
Paper, Prints 0 Show data context 0 Show data context 0 Show data context 1 Show data context 5 Show data context 5 Show data context 7 Show data context 6 Show data context 23 Show data context 77 Show data context 92 Show data context 80 Show data context 42 Show data context 23 Show data context
Textile Fabrics 3 Show data context 1 Show data context 18 Show data context 39 Show data context 43 Show data context 31 Show data context 45 Show data context 25 Show data context 159 Show data context 455 Show data context 519 Show data context 318 Show data context 131 Show data context 47 Show data context
Dress 0 Show data context 0 Show data context 3 Show data context 17 Show data context 27 Show data context 27 Show data context 36 Show data context 33 Show data context 116 Show data context 220 Show data context 206 Show data context 123 Show data context 75 Show data context 28 Show data context
Food, Drink 1 Show data context 5 Show data context 18 Show data context 37 Show data context 42 Show data context 28 Show data context 33 Show data context 49 Show data context 175 Show data context 417 Show data context 415 Show data context 246 Show data context 158 Show data context 84 Show data context
Gas, Water 0 Show data context 2 Show data context 51 Show data context 98 Show data context 150 Show data context 161 Show data context 157 Show data context 155 Show data context 679 Show data context 1,179 Show data context 978 Show data context 613 Show data context 321 Show data context 117 Show data context
Other & Undefined 0 Show data context 0 Show data context 1 Show data context 4 Show data context 6 Show data context 9 Show data context 11 Show data context 7 Show data context 75 Show data context 209 Show data context 217 Show data context 137 Show data context 77 Show data context 34 Show data context
Unoccupied 41 Show data context 29 Show data context 18 Show data context 22 Show data context 33 Show data context 32 Show data context 27 Show data context 40 Show data context 180 Show data context 421 Show data context 404 Show data context 343 Show data context 228 Show data context 97 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 1 Show data context 7 Show data context 19 Show data context 20 Show data context 19 Show data context 120 Show data context 201 Show data context 89 Show data context 34 Show data context 7 Show data context 1 Show data context
Defence
Professional Occupations 0 Show data context 0 Show data context 3 Show data context 6 Show data context 12 Show data context 25 Show data context 44 Show data context 82 Show data context 454 Show data context 868 Show data context 653 Show data context 386 Show data context 184 Show data context 72 Show data context
Domestic Services 0 Show data context 5 Show data context 220 Show data context 428 Show data context 557 Show data context 688 Show data context 659 Show data context 662 Show data context 2,669 Show data context 2,562 Show data context 1,391 Show data context 1,079 Show data context 612 Show data context 256 Show data context
Commercial Occupations 0 Show data context 0 Show data context 9 Show data context 35 Show data context 81 Show data context 124 Show data context 133 Show data context 143 Show data context 584 Show data context 523 Show data context 143 Show data context 37 Show data context 14 Show data context 0 Show data context
Transport 0 Show data context 0 Show data context 4 Show data context 6 Show data context 7 Show data context 20 Show data context 13 Show data context 13 Show data context 46 Show data context 43 Show data context 4 Show data context 7 Show data context 4 Show data context 2 Show data context
Agriculture 0 Show data context 0 Show data context 0 Show data context 0 Show data context 0 Show data context 2 Show data context 1 Show data context 1 Show data context 1 Show data context 7 Show data context 3 Show data context 4 Show data context 1 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 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
Jewelry, Instruments 0 Show data context 0 Show data context 2 Show data context 1 Show data context 5 Show data context 2 Show data context 6 Show data context 2 Show data context 16 Show data context 14 Show data context 2 Show data context 5 Show data context 1 Show data context 1 Show data context
Building 0 Show data context 0 Show data context 0 Show data context 4 Show data context 2 Show data context 1 Show data context 1 Show data context 0 Show data context 13 Show data context 10 Show data context 6 Show data context 4 Show data context 4 Show data context 1 Show data context
Wood, Furniture
Brick, Cement 0 Show data context 0 Show data context 1 Show data context 0 Show data context 3 Show data context 0 Show data context 2 Show data context 1 Show data context 10 Show data context 13 Show data context 9 Show data context 12 Show data context 6 Show data context 7 Show data context
Chemicals 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 1 Show data context 3 Show data context 7 Show data context 2 Show data context 5 Show data context 5 Show data context 1 Show data context
Skins, Leather 0 Show data context 0 Show data context 0 Show data context 0 Show data context 1 Show data context 7 Show data context 4 Show data context 1 Show data context 13 Show data context 17 Show data context 5 Show data context 7 Show data context 4 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 2 Show data context 2 Show data context 4 Show data context 2 Show data context 12 Show data context 10 Show data context 6 Show data context 3 Show data context 4 Show data context 0 Show data context
Textile Fabrics 0 Show data context 0 Show data context 8 Show data context 14 Show data context 17 Show data context 18 Show data context 21 Show data context 12 Show data context 62 Show data context 70 Show data context 40 Show data context 19 Show data context 12 Show data context 2 Show data context
Dress 0 Show data context 0 Show data context 15 Show data context 32 Show data context 44 Show data context 52 Show data context 47 Show data context 39 Show data context 206 Show data context 195 Show data context 79 Show data context 49 Show data context 26 Show data context 10 Show data context
Food, Drink 0 Show data context 0 Show data context 47 Show data context 124 Show data context 161 Show data context 156 Show data context 148 Show data context 151 Show data context 684 Show data context 691 Show data context 449 Show data context 255 Show data context 163 Show data context 99 Show data context
Gas, Water 0 Show data context 0 Show data context 7 Show data context 21 Show data context 34 Show data context 26 Show data context 54 Show data context 72 Show data context 296 Show data context 319 Show data context 274 Show data context 211 Show data context 128 Show data context 50 Show data context
Other & Undefined 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 0 Show data context 0 Show data context 0 Show data context 0 Show data context
Unoccupied 0 Show data context 1 Show data context 2 Show data context 8 Show data context 10 Show data context 12 Show data context 13 Show data context 13 Show data context 63 Show data context 61 Show data context 42 Show data context 36 Show data context 17 Show data context 5 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, Lewisham 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/10057991/cube/OCC_ORD1911_AGESEX

Date accessed: 08th July 2024