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 2 Show data context 4 Show data context 6 Show data context 6 Show data context 8 Show data context 3 Show data context 7 Show data context 34 Show data context 87 Show data context 70 Show data context 61 Show data context 25 Show data context 12 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 0 Show data context 0 Show data context 3 Show data context 6 Show data context 5 Show data context 3 Show data context 6 Show data context
Professional Occupations 0 Show data context 0 Show data context 0 Show data context 5 Show data context 6 Show data context 5 Show data context 10 Show data context 15 Show data context 58 Show data context 120 Show data context 117 Show data context 108 Show data context 65 Show data context 45 Show data context
Domestic Services 0 Show data context 1 Show data context 13 Show data context 19 Show data context 15 Show data context 18 Show data context 19 Show data context 18 Show data context 68 Show data context 164 Show data context 157 Show data context 94 Show data context 46 Show data context 39 Show data context
Commercial Occupations 0 Show data context 0 Show data context 1 Show data context 4 Show data context 10 Show data context 10 Show data context 7 Show data context 19 Show data context 48 Show data context 96 Show data context 62 Show data context 42 Show data context 35 Show data context 14 Show data context
Transport 4 Show data context 8 Show data context 26 Show data context 25 Show data context 24 Show data context 28 Show data context 20 Show data context 25 Show data context 118 Show data context 229 Show data context 214 Show data context 165 Show data context 94 Show data context 33 Show data context
Agriculture 2 Show data context 11 Show data context 193 Show data context 251 Show data context 273 Show data context 282 Show data context 304 Show data context 270 Show data context 995 Show data context 1,520 Show data context 1,411 Show data context 1,205 Show data context 958 Show data context 826 Show data context
Mines & Quarries
Metals, Machines 0 Show data context 1 Show data context 3 Show data context 6 Show data context 4 Show data context 8 Show data context 8 Show data context 8 Show data context 55 Show data context 140 Show data context 113 Show data context 79 Show data context 56 Show data context 36 Show data context
Jewelry, Instruments 0 Show data context 1 Show data context 9 Show data context 14 Show data context 15 Show data context 20 Show data context 24 Show data context 18 Show data context 83 Show data context 145 Show data context 98 Show data context 90 Show data context 63 Show data context 50 Show data context
Building 0 Show data context 0 Show data context 0 Show data context 1 Show data context 2 Show data context 1 Show data context 0 Show data context 0 Show data context 6 Show data context 9 Show data context 6 Show data context 12 Show data context 3 Show data context 4 Show data context
Wood, Furniture 0 Show data context 0 Show data context 4 Show data context 11 Show data context 15 Show data context 20 Show data context 23 Show data context 20 Show data context 115 Show data context 267 Show data context 228 Show data context 269 Show data context 189 Show data context 145 Show data context
Brick, Cement 0 Show data context 0 Show data context 2 Show data context 1 Show data context 5 Show data context 0 Show data context 3 Show data context 6 Show data context 13 Show data context 29 Show data context 19 Show data context 25 Show data context 18 Show data context 9 Show data context
Chemicals 0 Show data context 0 Show data context 0 Show data context 2 Show data context 2 Show data context 1 Show data context 4 Show data context 1 Show data context 10 Show data context 13 Show data context 9 Show data context 4 Show data context 4 Show data context 2 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 2 Show data context 1 Show data context 2 Show data context 6 Show data context 10 Show data context 2 Show data context 4 Show data context 5 Show data context 4 Show data context
Paper, Prints 0 Show data context 0 Show data context 2 Show data context 4 Show data context 4 Show data context 6 Show data context 6 Show data context 1 Show data context 13 Show data context 24 Show data context 20 Show data context 18 Show data context 13 Show data context 6 Show data context
Textile Fabrics 1 Show data context 1 Show data context 7 Show data context 4 Show data context 2 Show data context 1 Show data context 3 Show data context 1 Show data context 11 Show data context 18 Show data context 29 Show data context 6 Show data context 6 Show data context 2 Show data context
Dress 0 Show data context 1 Show data context 18 Show data context 16 Show data context 15 Show data context 25 Show data context 24 Show data context 15 Show data context 60 Show data context 83 Show data context 92 Show data context 88 Show data context 44 Show data context 40 Show data context
Food, Drink 0 Show data context 2 Show data context 5 Show data context 14 Show data context 7 Show data context 12 Show data context 15 Show data context 7 Show data context 49 Show data context 83 Show data context 103 Show data context 92 Show data context 63 Show data context 61 Show data context
Gas, Water 0 Show data context 0 Show data context 13 Show data context 20 Show data context 34 Show data context 33 Show data context 35 Show data context 21 Show data context 97 Show data context 208 Show data context 177 Show data context 154 Show data context 108 Show data context 48 Show data context
Other & Undefined 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 3 Show data context 5 Show data context 18 Show data context 9 Show data context 11 Show data context 3 Show data context
Unoccupied 2 Show data context 3 Show data context 11 Show data context 15 Show data context 11 Show data context 14 Show data context 15 Show data context 10 Show data context 73 Show data context 135 Show data context 170 Show data context 160 Show data context 139 Show data context 103 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 2 Show data context 0 Show data context 2 Show data context 3 Show data context 2 Show data context 9 Show data context 18 Show data context 16 Show data context 11 Show data context 6 Show data context 4 Show data context
Defence
Professional Occupations 0 Show data context 0 Show data context 0 Show data context 0 Show data context 3 Show data context 5 Show data context 7 Show data context 19 Show data context 109 Show data context 117 Show data context 46 Show data context 37 Show data context 35 Show data context 17 Show data context
Domestic Services 4 Show data context 13 Show data context 107 Show data context 177 Show data context 217 Show data context 234 Show data context 224 Show data context 192 Show data context 656 Show data context 520 Show data context 267 Show data context 252 Show data context 151 Show data context 115 Show data context
Commercial Occupations 0 Show data context 0 Show data context 1 Show data context 0 Show data context 4 Show data context 0 Show data context 0 Show data context 1 Show data context 8 Show data context 5 Show data context 2 Show data context 1 Show data context 1 Show data context 1 Show data context
Transport 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 1 Show data context 2 Show data context 1 Show data context 4 Show data context 1 Show data context
Agriculture 0 Show data context 4 Show data context 25 Show data context 61 Show data context 66 Show data context 63 Show data context 73 Show data context 62 Show data context 264 Show data context 307 Show data context 159 Show data context 137 Show data context 130 Show data context 192 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 2 Show data context 2 Show data context 2 Show data context 3 Show data context 0 Show data context
Jewelry, Instruments 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 5 Show data context 0 Show data context
Building 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 2 Show data context 0 Show data context 0 Show data context
Wood, Furniture
Brick, Cement 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 1 Show data context 1 Show data context 0 Show data context 0 Show data context 1 Show data context 1 Show data context
Chemicals 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 1 Show data context 2 Show data context 1 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 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
Paper, Prints 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 1 Show data context 0 Show data context
Textile Fabrics 0 Show data context 0 Show data context 0 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 3 Show data context 3 Show data context 1 Show data context 1 Show data context
Dress 0 Show data context 1 Show data context 11 Show data context 9 Show data context 18 Show data context 22 Show data context 21 Show data context 24 Show data context 64 Show data context 98 Show data context 84 Show data context 57 Show data context 21 Show data context 20 Show data context
Food, Drink 0 Show data context 1 Show data context 22 Show data context 31 Show data context 39 Show data context 38 Show data context 31 Show data context 31 Show data context 165 Show data context 173 Show data context 122 Show data context 63 Show data context 30 Show data context 31 Show data context
Gas, Water 0 Show data context 0 Show data context 2 Show data context 9 Show data context 7 Show data context 11 Show data context 16 Show data context 12 Show data context 59 Show data context 125 Show data context 112 Show data context 117 Show data context 98 Show data context 49 Show data context
Other & Undefined
Unoccupied 0 Show data context 1 Show data context 0 Show data context 0 Show data context 0 Show data context 3 Show data context 0 Show data context 3 Show data context 6 Show data context 13 Show data context 13 Show data context 13 Show data context 12 Show data context 7 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, Montgomeryshire AdmC 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/10041820/cube/OCC_ORD1911_AGESEX

Date accessed: 17th May 2024