Persons Aged over 10 by Sex, Age & 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 13 Show data context 6 Show data context 5 Show data context 8 Show data context 28 Show data context 83 Show data context 20 Show data context 3 Show data context 4 Show data context
Defence 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 8 Show data context 3 Show data context 0 Show data context 0 Show data context
Professional Occupations 0 Show data context 1 Show data context 0 Show data context 2 Show data context 3 Show data context 7 Show data context 16 Show data context 121 Show data context 80 Show data context 8 Show data context 10 Show data context
Domestic Services 0 Show data context 4 Show data context 2 Show data context 2 Show data context 2 Show data context 12 Show data context 26 Show data context 87 Show data context 52 Show data context 3 Show data context 3 Show data context
Commercial Occupations 0 Show data context 0 Show data context 1 Show data context 2 Show data context 6 Show data context 22 Show data context 35 Show data context 123 Show data context 56 Show data context 4 Show data context 3 Show data context
Transport 0 Show data context 17 Show data context 32 Show data context 35 Show data context 14 Show data context 28 Show data context 65 Show data context 312 Show data context 239 Show data context 17 Show data context 12 Show data context
Agriculture 0 Show data context 17 Show data context 30 Show data context 39 Show data context 39 Show data context 80 Show data context 157 Show data context 397 Show data context 345 Show data context 54 Show data context 73 Show data context
Fishing 0 Show data context 0 Show data context 2 Show data context 0 Show data context 1 Show data context 5 Show data context 10 Show data context 48 Show data context 33 Show data context 14 Show data context 8 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 0 Show data context 2 Show data context 28 Show data context 14 Show data context 4 Show data context 4 Show data context
Metals, Machines 0 Show data context 2 Show data context 1 Show data context 5 Show data context 9 Show data context 18 Show data context 36 Show data context 91 Show data context 64 Show data context 9 Show data context 2 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 1 Show data context 9 Show data context 3 Show data context 1 Show data context 0 Show data context
Building 0 Show data context 2 Show data context 8 Show data context 13 Show data context 15 Show data context 39 Show data context 73 Show data context 262 Show data context 175 Show data context 20 Show data context 11 Show data context
Wood, Furniture 0 Show data context 0 Show data context 0 Show data context 1 Show data context 2 Show data context 2 Show data context 5 Show data context 21 Show data context 17 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 1 Show data context 3 Show data context 10 Show data context 7 Show data context 0 Show data context 1 Show data context
Chemicals 0 Show data context 1 Show data context 0 Show data context 0 Show data context 2 Show data context 0 Show data context 7 Show data context 8 Show data context 4 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 8 Show data context 4 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 2 Show data context 1 Show data context 2 Show data context 8 Show data context 17 Show data context 14 Show data context 1 Show data context 0 Show data context
Textile Fabrics 0 Show data context 0 Show data context 1 Show data context 3 Show data context 1 Show data context 3 Show data context 4 Show data context 19 Show data context 27 Show data context 1 Show data context 2 Show data context
Dress 0 Show data context 2 Show data context 1 Show data context 0 Show data context 3 Show data context 1 Show data context 11 Show data context 43 Show data context 44 Show data context 2 Show data context 13 Show data context
Food, Drink 0 Show data context 5 Show data context 7 Show data context 12 Show data context 13 Show data context 38 Show data context 67 Show data context 191 Show data context 133 Show data context 17 Show data context 9 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 18 Show data context 10 Show data context 1 Show data context 0 Show data context
Other & Undefined 1 Show data context 1 Show data context 1 Show data context 1 Show data context 3 Show data context 5 Show data context 11 Show data context 52 Show data context 48 Show data context 8 Show data context 11 Show data context
Unoccupied 664 Show data context 112 Show data context 52 Show data context 30 Show data context 13 Show data context 26 Show data context 50 Show data context 62 Show data context 139 Show data context 83 Show data context 206 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 1 Show data context 2 Show data context 1 Show data context 1 Show data context 2 Show data context 9 Show data context 24 Show data context 8 Show data context 1 Show data context 1 Show data context
Defence
Professional Occupations 0 Show data context 0 Show data context 1 Show data context 2 Show data context 0 Show data context 4 Show data context 33 Show data context 84 Show data context 41 Show data context 4 Show data context 1 Show data context
Domestic Services 1 Show data context 12 Show data context 29 Show data context 53 Show data context 64 Show data context 115 Show data context 232 Show data context 333 Show data context 128 Show data context 11 Show data context 9 Show data context
Commercial Occupations 0 Show data context 0 Show data context 3 Show data context 4 Show data context 2 Show data context 16 Show data context 24 Show data context 29 Show data context 3 Show data context 0 Show data context 0 Show data context
Transport 1 Show data context 6 Show data context 4 Show data context 1 Show data context 0 Show data context 4 Show data context 5 Show data context 6 Show data context 1 Show data context 0 Show data context 1 Show data context
Agriculture 0 Show data context 2 Show data context 5 Show data context 6 Show data context 18 Show data context 23 Show data context 48 Show data context 56 Show data context 69 Show data context 11 Show data context 16 Show data context
Fishing
Mines & Quarries
Metals, Machines 0 Show data context 0 Show data context 1 Show data context 1 Show data context 0 Show data context 2 Show data context 2 Show data context 3 Show data context 3 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 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
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 1 Show data context 0 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 1 Show data context 2 Show data context 1 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 0 Show data context 0 Show data context 0 Show data context 0 Show data context 3 Show data context 1 Show data context 1 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 3 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 2 Show data context 1 Show data context 4 Show data context 6 Show data context 7 Show data context 14 Show data context 5 Show data context 0 Show data context 0 Show data context
Textile Fabrics 0 Show data context 1 Show data context 1 Show data context 3 Show data context 3 Show data context 4 Show data context 11 Show data context 29 Show data context 6 Show data context 0 Show data context 0 Show data context
Dress 0 Show data context 2 Show data context 3 Show data context 9 Show data context 14 Show data context 16 Show data context 35 Show data context 73 Show data context 34 Show data context 1 Show data context 7 Show data context
Food, Drink 0 Show data context 3 Show data context 7 Show data context 5 Show data context 7 Show data context 18 Show data context 46 Show data context 109 Show data context 72 Show data context 7 Show data context 4 Show data context
Gas, Water
Other & Undefined 0 Show data context 1 Show data context 2 Show data context 5 Show data context 3 Show data context 5 Show data context 13 Show data context 19 Show data context 4 Show data context 4 Show data context 2 Show data context
Unoccupied 682 Show data context 154 Show data context 114 Show data context 85 Show data context 72 Show data context 130 Show data context 363 Show data context 2,105 Show data context 1,731 Show data context 343 Show data context 640 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, Buteshire ScoCnty 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/10145971/cube/OCC_ORD1911_AGESEX_S

Date accessed: 05th November 2024