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 6 Show data context 17 Show data context 8 Show data context 13 Show data context 15 Show data context 13 Show data context 145 Show data context 378 Show data context 280 Show data context 123 Show data context 48 Show data context 11 Show data context
Defence 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 4 Show data context 15 Show data context 21 Show data context 13 Show data context 10 Show data context 15 Show data context 20 Show data context
Professional Occupations 0 Show data context 0 Show data context 8 Show data context 8 Show data context 10 Show data context 16 Show data context 23 Show data context 25 Show data context 208 Show data context 649 Show data context 678 Show data context 565 Show data context 299 Show data context 174 Show data context
Domestic Services 1 Show data context 2 Show data context 8 Show data context 15 Show data context 18 Show data context 36 Show data context 54 Show data context 45 Show data context 203 Show data context 400 Show data context 274 Show data context 225 Show data context 95 Show data context 54 Show data context
Commercial Occupations 0 Show data context 0 Show data context 16 Show data context 38 Show data context 68 Show data context 93 Show data context 126 Show data context 152 Show data context 716 Show data context 1,069 Show data context 822 Show data context 653 Show data context 313 Show data context 137 Show data context
Transport 10 Show data context 8 Show data context 84 Show data context 88 Show data context 75 Show data context 63 Show data context 54 Show data context 48 Show data context 274 Show data context 527 Show data context 504 Show data context 367 Show data context 183 Show data context 73 Show data context
Agriculture 0 Show data context 0 Show data context 0 Show data context 2 Show data context 0 Show data context 4 Show data context 2 Show data context 3 Show data context 18 Show data context 63 Show data context 73 Show data context 77 Show data context 63 Show data context 42 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 1 Show data context 0 Show data context 1 Show data context 10 Show data context 20 Show data context 21 Show data context 12 Show data context 5 Show data context
Jewelry, Instruments 0 Show data context 0 Show data context 11 Show data context 21 Show data context 23 Show data context 33 Show data context 52 Show data context 29 Show data context 214 Show data context 331 Show data context 236 Show data context 143 Show data context 82 Show data context 35 Show data context
Building 0 Show data context 0 Show data context 6 Show data context 15 Show data context 8 Show data context 20 Show data context 9 Show data context 14 Show data context 66 Show data context 138 Show data context 135 Show data context 80 Show data context 65 Show data context 26 Show data context
Wood, Furniture 0 Show data context 0 Show data context 4 Show data context 11 Show data context 12 Show data context 17 Show data context 25 Show data context 18 Show data context 150 Show data context 456 Show data context 411 Show data context 395 Show data context 253 Show data context 98 Show data context
Brick, Cement 0 Show data context 0 Show data context 4 Show data context 2 Show data context 9 Show data context 8 Show data context 14 Show data context 18 Show data context 63 Show data context 146 Show data context 137 Show data context 112 Show data context 67 Show data context 30 Show data context
Chemicals 0 Show data context 0 Show data context 1 Show data context 0 Show data context 1 Show data context 0 Show data context 1 Show data context 2 Show data context 4 Show data context 13 Show data context 23 Show data context 11 Show data context 10 Show data context 8 Show data context
Skins, Leather 0 Show data context 0 Show data context 1 Show data context 6 Show data context 3 Show data context 5 Show data context 5 Show data context 5 Show data context 46 Show data context 77 Show data context 73 Show data context 56 Show data context 28 Show data context 19 Show data context
Paper, Prints 0 Show data context 0 Show data context 0 Show data context 0 Show data context 5 Show data context 2 Show data context 4 Show data context 5 Show data context 26 Show data context 40 Show data context 42 Show data context 43 Show data context 14 Show data context 11 Show data context
Textile Fabrics 0 Show data context 0 Show data context 11 Show data context 10 Show data context 8 Show data context 16 Show data context 18 Show data context 14 Show data context 56 Show data context 130 Show data context 119 Show data context 78 Show data context 45 Show data context 25 Show data context
Dress 0 Show data context 0 Show data context 2 Show data context 7 Show data context 11 Show data context 17 Show data context 16 Show data context 21 Show data context 73 Show data context 97 Show data context 90 Show data context 69 Show data context 33 Show data context 27 Show data context
Food, Drink 0 Show data context 0 Show data context 1 Show data context 8 Show data context 9 Show data context 21 Show data context 15 Show data context 19 Show data context 89 Show data context 205 Show data context 209 Show data context 150 Show data context 79 Show data context 30 Show data context
Gas, Water 0 Show data context 2 Show data context 13 Show data context 21 Show data context 53 Show data context 57 Show data context 60 Show data context 67 Show data context 420 Show data context 633 Show data context 472 Show data context 315 Show data context 185 Show data context 65 Show data context
Other & Undefined 0 Show data context 0 Show data context 0 Show data context 2 Show data context 2 Show data context 3 Show data context 4 Show data context 4 Show data context 16 Show data context 69 Show data context 85 Show data context 56 Show data context 25 Show data context 17 Show data context
Unoccupied 15 Show data context 18 Show data context 7 Show data context 6 Show data context 7 Show data context 4 Show data context 9 Show data context 15 Show data context 64 Show data context 176 Show data context 160 Show data context 142 Show data context 95 Show data context 47 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 0 Show data context 1 Show data context 5 Show data context 7 Show data context 6 Show data context 46 Show data context 77 Show data context 47 Show data context 19 Show data context 4 Show data context 1 Show data context
Defence
Professional Occupations 0 Show data context 0 Show data context 1 Show data context 3 Show data context 6 Show data context 8 Show data context 33 Show data context 28 Show data context 342 Show data context 902 Show data context 603 Show data context 332 Show data context 143 Show data context 54 Show data context
Domestic Services 4 Show data context 5 Show data context 96 Show data context 221 Show data context 360 Show data context 497 Show data context 606 Show data context 645 Show data context 4,015 Show data context 4,904 Show data context 2,279 Show data context 1,232 Show data context 531 Show data context 200 Show data context
Commercial Occupations 0 Show data context 0 Show data context 8 Show data context 17 Show data context 14 Show data context 41 Show data context 52 Show data context 45 Show data context 253 Show data context 272 Show data context 85 Show data context 34 Show data context 14 Show data context 4 Show data context
Transport 0 Show data context 0 Show data context 1 Show data context 4 Show data context 2 Show data context 6 Show data context 0 Show data context 5 Show data context 13 Show data context 6 Show data context 4 Show data context 3 Show data context 1 Show data context 0 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 2 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 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 1 Show data context 0 Show data context 0 Show data context
Jewelry, Instruments 0 Show data context 0 Show data context 0 Show data context 1 Show data context 3 Show data context 1 Show data context 0 Show data context 0 Show data context 2 Show data context 5 Show data context 4 Show data context 1 Show data context 1 Show data context 1 Show data context
Building 0 Show data context 0 Show data context 2 Show data context 0 Show data context 3 Show data context 1 Show data context 2 Show data context 0 Show data context 12 Show data context 16 Show data context 9 Show data context 5 Show data context 1 Show data context 1 Show data context
Wood, Furniture
Brick, Cement 0 Show data context 0 Show data context 0 Show data context 3 Show data context 2 Show data context 0 Show data context 2 Show data context 3 Show data context 5 Show data context 15 Show data context 10 Show data context 7 Show data context 9 Show data context 1 Show data context
Chemicals 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 1 Show data context 3 Show data context 2 Show data context 4 Show data context 2 Show data context 0 Show data context 0 Show data context
Skins, Leather 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 2 Show data context 4 Show data context 14 Show data context 10 Show data context 1 Show data context 2 Show data context 0 Show data context
Paper, Prints 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 5 Show data context 7 Show data context 6 Show data context 1 Show data context 2 Show data context 0 Show data context
Textile Fabrics 0 Show data context 0 Show data context 3 Show data context 9 Show data context 9 Show data context 9 Show data context 6 Show data context 15 Show data context 49 Show data context 29 Show data context 26 Show data context 12 Show data context 8 Show data context 4 Show data context
Dress 0 Show data context 0 Show data context 0 Show data context 11 Show data context 16 Show data context 16 Show data context 25 Show data context 20 Show data context 119 Show data context 118 Show data context 44 Show data context 23 Show data context 15 Show data context 4 Show data context
Food, Drink 1 Show data context 1 Show data context 31 Show data context 46 Show data context 52 Show data context 66 Show data context 77 Show data context 74 Show data context 341 Show data context 385 Show data context 262 Show data context 193 Show data context 109 Show data context 69 Show data context
Gas, Water 0 Show data context 0 Show data context 2 Show data context 6 Show data context 7 Show data context 11 Show data context 22 Show data context 27 Show data context 125 Show data context 213 Show data context 216 Show data context 220 Show data context 147 Show data context 68 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 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
Unoccupied 0 Show data context 0 Show data context 3 Show data context 4 Show data context 6 Show data context 11 Show data context 10 Show data context 10 Show data context 26 Show data context 37 Show data context 21 Show data context 6 Show data context 7 Show data context 0 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, Hampstead 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/10074149/cube/OCC_ORD1911_AGESEX

Date accessed: 10th May 2024