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 10-13 14 15 16 17 18-19 20-24 25-44 45-64 65-69 70 up
Government 0 Show data context 1 Show data context 2 Show data context 2 Show data context 4 Show data context 3 Show data context 17 Show data context 31 Show data context 19 Show data context 1 Show data context 1 Show data context
Defence 0 Show data context 0 Show data context 0 Show data context 0 Show data context 2 Show data context 0 Show data context 2 Show data context 5 Show data context 0 Show data context 0 Show data context 0 Show data context
Professional Occupations 0 Show data context 3 Show data context 2 Show data context 3 Show data context 3 Show data context 8 Show data context 27 Show data context 80 Show data context 35 Show data context 1 Show data context 1 Show data context
Domestic Services 0 Show data context 0 Show data context 1 Show data context 1 Show data context 0 Show data context 2 Show data context 4 Show data context 21 Show data context 7 Show data context 2 Show data context 0 Show data context
Commercial Occupations 0 Show data context 3 Show data context 1 Show data context 7 Show data context 4 Show data context 10 Show data context 28 Show data context 87 Show data context 59 Show data context 4 Show data context 2 Show data context
Transport 0 Show data context 43 Show data context 26 Show data context 18 Show data context 10 Show data context 31 Show data context 55 Show data context 157 Show data context 75 Show data context 9 Show data context 5 Show data context
Agriculture 0 Show data context 1 Show data context 2 Show data context 3 Show data context 0 Show data context 2 Show data context 6 Show data context 21 Show data context 27 Show data context 3 Show data context 5 Show data context
Fishing 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 0 Show data context
Mines & Quarries 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 10 Show data context 9 Show data context 1 Show data context 0 Show data context
Metals, Machines 0 Show data context 92 Show data context 117 Show data context 149 Show data context 149 Show data context 362 Show data context 845 Show data context 2,270 Show data context 1,038 Show data context 106 Show data context 56 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 2 Show data context 1 Show data context 3 Show data context 3 Show data context 1 Show data context 0 Show data context
Building 0 Show data context 2 Show data context 4 Show data context 11 Show data context 8 Show data context 18 Show data context 50 Show data context 130 Show data context 85 Show data context 5 Show data context 5 Show data context
Wood, Furniture 0 Show data context 0 Show data context 1 Show data context 0 Show data context 0 Show data context 0 Show data context 5 Show data context 21 Show data context 20 Show data context 2 Show data context 1 Show data context
Brick, Cement 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 4 Show data context 1 Show data context 0 Show data context 0 Show data context
Chemicals 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 8 Show data context 5 Show data context 0 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 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
Paper, Prints 0 Show data context 1 Show data context 0 Show data context 1 Show data context 1 Show data context 0 Show data context 3 Show data context 8 Show data context 8 Show data context 0 Show data context 1 Show data context
Textile Fabrics 0 Show data context 1 Show data context 4 Show data context 1 Show data context 2 Show data context 2 Show data context 11 Show data context 12 Show data context 10 Show data context 5 Show data context 1 Show data context
Dress 0 Show data context 2 Show data context 2 Show data context 6 Show data context 2 Show data context 5 Show data context 11 Show data context 54 Show data context 33 Show data context 1 Show data context 2 Show data context
Food, Drink 0 Show data context 5 Show data context 8 Show data context 10 Show data context 8 Show data context 19 Show data context 54 Show data context 127 Show data context 43 Show data context 6 Show data context 10 Show data context
Gas, Water 0 Show data context 0 Show data context 0 Show data context 0 Show data context 0 Show data context 1 Show data context 5 Show data context 21 Show data context 11 Show data context 2 Show data context 3 Show data context
Other & Undefined 1 Show data context 2 Show data context 1 Show data context 0 Show data context 1 Show data context 2 Show data context 16 Show data context 94 Show data context 63 Show data context 2 Show data context 5 Show data context
Unoccupied 1,010 Show data context 96 Show data context 40 Show data context 24 Show data context 12 Show data context 10 Show data context 19 Show data context 32 Show data context 40 Show data context 43 Show data context 122 Show data context
Sex = Female 1911 Occupation Tables Age Groups
1911 Occupational Classification 10-13 14 15 16 17 18-19 20-24 25-44 45-64 65-69 70 up
Government 0 Show data context 0 Show data context 0 Show data context 1 Show data context 1 Show data context 1 Show data context 3 Show data context 5 Show data context 2 Show data context 0 Show data context 0 Show data context
Defence
Professional Occupations 0 Show data context 0 Show data context 1 Show data context 2 Show data context 2 Show data context 2 Show data context 28 Show data context 72 Show data context 21 Show data context 0 Show data context 0 Show data context
Domestic Services 0 Show data context 9 Show data context 14 Show data context 20 Show data context 22 Show data context 52 Show data context 90 Show data context 126 Show data context 65 Show data context 6 Show data context 5 Show data context
Commercial Occupations 0 Show data context 1 Show data context 2 Show data context 8 Show data context 5 Show data context 19 Show data context 39 Show data context 18 Show data context 1 Show data context 0 Show data context 0 Show data context
Transport 0 Show data context 12 Show data context 4 Show data context 1 Show data context 1 Show data context 0 Show data context 3 Show data context 1 Show data context 2 Show data context 0 Show data context 0 Show data context
Agriculture 0 Show data context 0 Show data context 1 Show data context 2 Show data context 2 Show data context 3 Show data context 8 Show data context 2 Show data context 7 Show data context 1 Show data context 0 Show data context
Fishing
Mines & Quarries 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
Metals, Machines 0 Show data context 2 Show data context 3 Show data context 6 Show data context 8 Show data context 18 Show data context 66 Show data context 46 Show data context 6 Show data context 1 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 1 Show data context 0 Show data context 3 Show data context 0 Show data context 0 Show data context 0 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 1 Show data context 0 Show data context 0 Show data context 1 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 5 Show data context 5 Show data context 6 Show data context 17 Show data context 24 Show data context 3 Show data context 0 Show data context 0 Show data context
Brick, Cement 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 2 Show data context 0 Show data context 0 Show data context
Chemicals 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 2 Show data context 0 Show data context 0 Show data context 0 Show data context
Skins, Leather
Paper, Prints 0 Show data context 0 Show data context 1 Show data context 2 Show data context 0 Show data context 2 Show data context 6 Show data context 6 Show data context 1 Show data context 0 Show data context 0 Show data context
Textile Fabrics 0 Show data context 10 Show data context 28 Show data context 46 Show data context 45 Show data context 89 Show data context 143 Show data context 82 Show data context 13 Show data context 2 Show data context 0 Show data context
Dress 0 Show data context 4 Show data context 6 Show data context 19 Show data context 23 Show data context 26 Show data context 67 Show data context 76 Show data context 11 Show data context 1 Show data context 2 Show data context
Food, Drink 0 Show data context 6 Show data context 8 Show data context 9 Show data context 12 Show data context 28 Show data context 50 Show data context 68 Show data context 22 Show data context 3 Show data context 0 Show data context
Gas, Water 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
Other & Undefined 0 Show data context 1 Show data context 1 Show data context 5 Show data context 2 Show data context 3 Show data context 21 Show data context 16 Show data context 5 Show data context 2 Show data context 0 Show data context
Unoccupied 892 Show data context 179 Show data context 133 Show data context 84 Show data context 79 Show data context 115 Show data context 444 Show data context 2,480 Show data context 1,366 Show data context 196 Show data context 268 Show data context
nCube definition Click on the triangles for all about a particular number
Date: Source:
1911 1911 Census of Scotland, County Report, Table 22 , 'Occupations of males and females aged 10 years and upwards, in eleven groups of ages, and by status'

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 11 age groups, and by 23 occupational 'Orders'. This is the information provided by the 1911 Census of Scotland's Occupation Tables, and differ from that published for England and Wales by using a simpler age classification. The occupational categories include Order 23, 'Without Specified Occupations or Unoccupied'.


How to reference this page:

GB Historical GIS / University of Portsmouth, Dumbarton Burgh 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/10359089/cube/OCC_ORD1911_AGESEX_S

Date accessed: 29th April 2024