Persons Aged over 10 by Sex, Age and 1911 Occupational Order

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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 5 Show data context 7 Show data context 5 Show data context 7 Show data context 8 Show data context 18 Show data context 141 Show data context 57 Show data context 1 Show data context 4 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 11 Show data context 27 Show data context 7 Show data context 2 Show data context 3 Show data context
Professional Occupations 0 Show data context 1 Show data context 7 Show data context 7 Show data context 15 Show data context 15 Show data context 45 Show data context 152 Show data context 94 Show data context 13 Show data context 15 Show data context
Domestic Services 0 Show data context 1 Show data context 1 Show data context 3 Show data context 4 Show data context 7 Show data context 19 Show data context 61 Show data context 42 Show data context 4 Show data context 3 Show data context
Commercial Occupations 0 Show data context 2 Show data context 8 Show data context 17 Show data context 13 Show data context 39 Show data context 47 Show data context 196 Show data context 102 Show data context 14 Show data context 8 Show data context
Transport 1 Show data context 53 Show data context 60 Show data context 60 Show data context 42 Show data context 63 Show data context 149 Show data context 514 Show data context 336 Show data context 34 Show data context 27 Show data context
Agriculture 0 Show data context 2 Show data context 2 Show data context 7 Show data context 6 Show data context 13 Show data context 15 Show data context 89 Show data context 77 Show data context 17 Show data context 25 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 9 Show data context 3 Show data context 1 Show data context 1 Show data context
Mines and Quarries 0 Show data context 1 Show data context 0 Show data context 0 Show data context 1 Show data context 0 Show data context 11 Show data context 16 Show data context 18 Show data context 4 Show data context 4 Show data context
Metals, Machines 0 Show data context 0 Show data context 7 Show data context 25 Show data context 28 Show data context 64 Show data context 130 Show data context 320 Show data context 180 Show data context 22 Show data context 12 Show data context
Jewelry, Instruments 0 Show data context 0 Show data context 0 Show data context 2 Show data context 2 Show data context 6 Show data context 16 Show data context 38 Show data context 15 Show data context 3 Show data context 3 Show data context
Building 0 Show data context 1 Show data context 2 Show data context 10 Show data context 15 Show data context 30 Show data context 73 Show data context 246 Show data context 236 Show data context 21 Show data context 32 Show data context
Wood, Furniture 0 Show data context 0 Show data context 3 Show data context 10 Show data context 11 Show data context 22 Show data context 53 Show data context 132 Show data context 57 Show data context 12 Show data context 6 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 5 Show data context 1 Show data context 1 Show data context 1 Show data context
Chemicals 0 Show data context 0 Show data context 2 Show data context 2 Show data context 6 Show data context 2 Show data context 6 Show data context 18 Show data context 7 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 1 Show data context 0 Show data context 0 Show data context 1 Show data context 9 Show data context 8 Show data context 0 Show data context 0 Show data context
Paper, Prints 0 Show data context 2 Show data context 4 Show data context 5 Show data context 6 Show data context 7 Show data context 11 Show data context 50 Show data context 21 Show data context 2 Show data context 4 Show data context
Textile Fabrics 0 Show data context 4 Show data context 7 Show data context 9 Show data context 12 Show data context 15 Show data context 22 Show data context 61 Show data context 33 Show data context 5 Show data context 7 Show data context
Dress 0 Show data context 1 Show data context 4 Show data context 10 Show data context 6 Show data context 15 Show data context 37 Show data context 138 Show data context 68 Show data context 13 Show data context 23 Show data context
Food, Drink 0 Show data context 5 Show data context 15 Show data context 21 Show data context 26 Show data context 51 Show data context 126 Show data context 304 Show data context 153 Show data context 19 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 0 Show data context 3 Show data context 21 Show data context 17 Show data context 2 Show data context 1 Show data context
Other and Undefined 0 Show data context 1 Show data context 3 Show data context 5 Show data context 6 Show data context 12 Show data context 45 Show data context 132 Show data context 128 Show data context 15 Show data context 21 Show data context
Unoccupied 823 Show data context 162 Show data context 81 Show data context 40 Show data context 23 Show data context 25 Show data context 35 Show data context 43 Show data context 84 Show data context 51 Show data context 163 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 1 Show data context 0 Show data context 3 Show data context 1 Show data context 5 Show data context 18 Show data context 3 Show data context 1 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 2 Show data context 9 Show data context 59 Show data context 174 Show data context 38 Show data context 2 Show data context 0 Show data context
Domestic Services 0 Show data context 18 Show data context 27 Show data context 54 Show data context 80 Show data context 149 Show data context 330 Show data context 404 Show data context 182 Show data context 20 Show data context 18 Show data context
Commercial Occupations 0 Show data context 0 Show data context 2 Show data context 8 Show data context 12 Show data context 30 Show data context 70 Show data context 60 Show data context 6 Show data context 0 Show data context 0 Show data context
Transport 1 Show data context 2 Show data context 2 Show data context 5 Show data context 3 Show data context 1 Show data context 2 Show data context 13 Show data context 17 Show data context 0 Show data context 0 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 4 Show data context 8 Show data context 7 Show data context 1 Show data context 2 Show data context
Fishing
Mines and Quarries
Metals, Machines 0 Show data context 0 Show data context 1 Show data context 0 Show data context 0 Show data context 0 Show data context 1 Show data context 2 Show data context 0 Show data context 0 Show data context 0 Show data context
Jewelry, Instruments 0 Show data context 1 Show data context 0 Show data context 0 Show data context 0 Show data context 1 Show data context 2 Show data context 4 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 0 Show data context 0 Show data context 1 Show data context 1 Show data context 0 Show data context 0 Show data context
Wood, Furniture 0 Show data context 1 Show data context 2 Show data context 2 Show data context 1 Show data context 1 Show data context 8 Show data context 10 Show data context 2 Show data context 0 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 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
Chemicals 0 Show data context 0 Show data context 0 Show data context 0 Show data context 0 Show data context 1 Show data context 2 Show data context 0 Show data context 1 Show data context 0 Show data context 0 Show data context
Skins, Leather
Paper, Prints 0 Show data context 0 Show data context 2 Show data context 1 Show data context 3 Show data context 3 Show data context 11 Show data context 5 Show data context 4 Show data context 0 Show data context 2 Show data context
Textile Fabrics 0 Show data context 0 Show data context 8 Show data context 8 Show data context 10 Show data context 16 Show data context 31 Show data context 38 Show data context 7 Show data context 1 Show data context 0 Show data context
Dress 0 Show data context 5 Show data context 14 Show data context 12 Show data context 21 Show data context 27 Show data context 75 Show data context 150 Show data context 41 Show data context 10 Show data context 2 Show data context
Food, Drink 0 Show data context 2 Show data context 4 Show data context 6 Show data context 6 Show data context 23 Show data context 39 Show data context 64 Show data context 59 Show data context 13 Show data context 8 Show data context
Gas, Water
Other and Undefined 0 Show data context 2 Show data context 7 Show data context 4 Show data context 2 Show data context 9 Show data context 16 Show data context 35 Show data context 11 Show data context 3 Show data context 1 Show data context
Unoccupied 896 Show data context 197 Show data context 128 Show data context 138 Show data context 100 Show data context 167 Show data context 415 Show data context 2,363 Show data context 1,772 Show data context 302 Show data context 674 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'

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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, Inverness Burgh through time | Industry Statistics | Persons Aged over 10 by Sex, Age and 1911 Occupational Order, A Vision of Britain through Time.

URL: http://www.visionofbritain.org.uk/unit/10360109/cube/OCC_ORD1911_AGESEX_S

Date accessed: 28th January 2022