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 1 Show data context 6 Show data context 13 Show data context 6 Show data context 6 Show data context 5 Show data context 3 Show data context 52 Show data context 122 Show data context 72 Show data context 41 Show data context 8 Show data context 6 Show data context
Defence 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 4 Show data context 2 Show data context 0 Show data context 0 Show data context
Professional Occupations 0 Show data context 0 Show data context 1 Show data context 4 Show data context 13 Show data context 8 Show data context 11 Show data context 10 Show data context 58 Show data context 142 Show data context 126 Show data context 74 Show data context 50 Show data context 22 Show data context
Domestic Services 0 Show data context 0 Show data context 1 Show data context 8 Show data context 5 Show data context 5 Show data context 5 Show data context 7 Show data context 36 Show data context 59 Show data context 52 Show data context 52 Show data context 34 Show data context 29 Show data context
Commercial Occupations 0 Show data context 1 Show data context 9 Show data context 19 Show data context 34 Show data context 31 Show data context 35 Show data context 31 Show data context 125 Show data context 284 Show data context 207 Show data context 124 Show data context 77 Show data context 24 Show data context
Transport 6 Show data context 14 Show data context 119 Show data context 77 Show data context 59 Show data context 53 Show data context 48 Show data context 29 Show data context 230 Show data context 599 Show data context 503 Show data context 344 Show data context 217 Show data context 60 Show data context
Agriculture 0 Show data context 0 Show data context 3 Show data context 2 Show data context 4 Show data context 5 Show data context 7 Show data context 0 Show data context 26 Show data context 47 Show data context 55 Show data context 40 Show data context 31 Show data context 25 Show data context
Mines & Quarries
Metals, Machines 0 Show data context 0 Show data context 0 Show data context 1 Show data context 2 Show data context 0 Show data context 2 Show data context 2 Show data context 10 Show data context 19 Show data context 21 Show data context 17 Show data context 18 Show data context 11 Show data context
Jewelry, Instruments 0 Show data context 3 Show data context 72 Show data context 122 Show data context 210 Show data context 202 Show data context 208 Show data context 236 Show data context 951 Show data context 1,748 Show data context 1,475 Show data context 961 Show data context 538 Show data context 135 Show data context
Building 0 Show data context 0 Show data context 1 Show data context 3 Show data context 1 Show data context 2 Show data context 1 Show data context 3 Show data context 5 Show data context 17 Show data context 16 Show data context 12 Show data context 10 Show data context 4 Show data context
Wood, Furniture 0 Show data context 0 Show data context 11 Show data context 33 Show data context 39 Show data context 37 Show data context 40 Show data context 29 Show data context 206 Show data context 580 Show data context 366 Show data context 292 Show data context 210 Show data context 86 Show data context
Brick, Cement 0 Show data context 0 Show data context 6 Show data context 19 Show data context 9 Show data context 16 Show data context 12 Show data context 19 Show data context 72 Show data context 131 Show data context 111 Show data context 63 Show data context 36 Show data context 20 Show data context
Chemicals 0 Show data context 0 Show data context 0 Show data context 0 Show data context 4 Show data context 3 Show data context 3 Show data context 2 Show data context 7 Show data context 21 Show data context 28 Show data context 9 Show data context 7 Show data context 1 Show data context
Skins, Leather 0 Show data context 0 Show data context 0 Show data context 1 Show data context 3 Show data context 6 Show data context 3 Show data context 2 Show data context 14 Show data context 27 Show data context 20 Show data context 18 Show data context 10 Show data context 5 Show data context
Paper, Prints 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 3 Show data context 15 Show data context 8 Show data context 11 Show data context 6 Show data context 8 Show data context
Textile Fabrics 0 Show data context 0 Show data context 3 Show data context 10 Show data context 13 Show data context 11 Show data context 10 Show data context 9 Show data context 37 Show data context 76 Show data context 67 Show data context 38 Show data context 16 Show data context 7 Show data context
Dress 0 Show data context 0 Show data context 19 Show data context 15 Show data context 16 Show data context 11 Show data context 10 Show data context 6 Show data context 27 Show data context 61 Show data context 46 Show data context 29 Show data context 16 Show data context 8 Show data context
Food, Drink 0 Show data context 1 Show data context 8 Show data context 9 Show data context 10 Show data context 14 Show data context 7 Show data context 12 Show data context 55 Show data context 118 Show data context 81 Show data context 62 Show data context 44 Show data context 34 Show data context
Gas, Water 1 Show data context 0 Show data context 15 Show data context 33 Show data context 33 Show data context 32 Show data context 30 Show data context 32 Show data context 142 Show data context 293 Show data context 266 Show data context 158 Show data context 83 Show data context 52 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 11 Show data context 56 Show data context 58 Show data context 37 Show data context 21 Show data context 18 Show data context
Unoccupied 6 Show data context 11 Show data context 11 Show data context 9 Show data context 14 Show data context 12 Show data context 15 Show data context 11 Show data context 56 Show data context 146 Show data context 127 Show data context 93 Show data context 58 Show data context 41 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 1 Show data context 0 Show data context 2 Show data context 0 Show data context 2 Show data context 1 Show data context 6 Show data context 13 Show data context 7 Show data context 4 Show data context 0 Show data context 0 Show data context
Defence
Professional Occupations 0 Show data context 0 Show data context 0 Show data context 0 Show data context 6 Show data context 8 Show data context 9 Show data context 8 Show data context 115 Show data context 188 Show data context 126 Show data context 54 Show data context 24 Show data context 24 Show data context
Domestic Services 0 Show data context 0 Show data context 56 Show data context 95 Show data context 117 Show data context 157 Show data context 183 Show data context 149 Show data context 623 Show data context 494 Show data context 203 Show data context 135 Show data context 63 Show data context 31 Show data context
Commercial Occupations 0 Show data context 0 Show data context 2 Show data context 4 Show data context 10 Show data context 23 Show data context 10 Show data context 15 Show data context 58 Show data context 33 Show data context 8 Show data context 2 Show data context 1 Show data context 0 Show data context
Transport 0 Show data context 0 Show data context 3 Show data context 4 Show data context 2 Show data context 1 Show data context 1 Show data context 1 Show data context 10 Show data context 4 Show data context 2 Show data context 1 Show data context 5 Show data context 1 Show data context
Agriculture 0 Show data context 0 Show data context 0 Show data context 1 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 1 Show data context 4 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 0 Show data context 0 Show data context 0 Show data context 1 Show data context 0 Show data context 1 Show data context
Jewelry, Instruments 0 Show data context 0 Show data context 1 Show data context 4 Show data context 7 Show data context 3 Show data context 5 Show data context 1 Show data context 11 Show data context 8 Show data context 3 Show data context 0 Show data context 1 Show data context 0 Show data context
Building 0 Show data context 0 Show data context 1 Show data context 2 Show data context 2 Show data context 1 Show data context 2 Show data context 4 Show data context 5 Show data context 0 Show data context 2 Show data context 0 Show data context 0 Show data context 0 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 0 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 1 Show data context 4 Show data context 3 Show data context 3 Show data context 0 Show data context 9 Show data context 4 Show data context 6 Show data context 1 Show data context 2 Show data context 3 Show data context
Chemicals 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 1 Show data context 1 Show data context 0 Show data context 1 Show data context 1 Show data context
Skins, Leather 0 Show data context 1 Show data context 1 Show data context 0 Show data context 4 Show data context 1 Show data context 1 Show data context 5 Show data context 8 Show data context 5 Show data context 0 Show data context 0 Show data context 0 Show data context 0 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 0 Show data context 0 Show data context 1 Show data context 0 Show data context 0 Show data context
Textile Fabrics 0 Show data context 0 Show data context 2 Show data context 6 Show data context 9 Show data context 3 Show data context 3 Show data context 5 Show data context 17 Show data context 20 Show data context 9 Show data context 4 Show data context 2 Show data context 1 Show data context
Dress 0 Show data context 0 Show data context 27 Show data context 46 Show data context 57 Show data context 51 Show data context 47 Show data context 47 Show data context 128 Show data context 65 Show data context 30 Show data context 18 Show data context 10 Show data context 1 Show data context
Food, Drink 0 Show data context 0 Show data context 28 Show data context 65 Show data context 63 Show data context 67 Show data context 63 Show data context 52 Show data context 206 Show data context 189 Show data context 104 Show data context 47 Show data context 31 Show data context 11 Show data context
Gas, Water 0 Show data context 1 Show data context 7 Show data context 15 Show data context 27 Show data context 29 Show data context 26 Show data context 31 Show data context 114 Show data context 161 Show data context 125 Show data context 132 Show data context 80 Show data context 46 Show data context
Other & Undefined
Unoccupied 0 Show data context 0 Show data context 1 Show data context 2 Show data context 3 Show data context 1 Show data context 5 Show data context 2 Show data context 12 Show data context 26 Show data context 18 Show data context 10 Show data context 7 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, Darlington MB/CB 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/10136829/cube/OCC_ORD1911_AGESEX

Date accessed: 05th June 2024