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 4 Show data context 5 Show data context 6 Show data context 0 Show data context 8 Show data context 28 Show data context 72 Show data context 23 Show data context 2 Show data context 4 Show data context
Defence 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 0 Show data context 1 Show data context 0 Show data context 0 Show data context
Professional Occupations 0 Show data context 3 Show data context 4 Show data context 4 Show data context 7 Show data context 14 Show data context 53 Show data context 158 Show data context 65 Show data context 5 Show data context 6 Show data context
Domestic Services 0 Show data context 0 Show data context 2 Show data context 3 Show data context 1 Show data context 2 Show data context 2 Show data context 31 Show data context 20 Show data context 2 Show data context 3 Show data context
Commercial Occupations 0 Show data context 12 Show data context 22 Show data context 36 Show data context 25 Show data context 38 Show data context 101 Show data context 303 Show data context 131 Show data context 7 Show data context 4 Show data context
Transport 1 Show data context 31 Show data context 16 Show data context 20 Show data context 14 Show data context 36 Show data context 112 Show data context 420 Show data context 241 Show data context 19 Show data context 6 Show data context
Agriculture 0 Show data context 0 Show data context 1 Show data context 3 Show data context 3 Show data context 6 Show data context 7 Show data context 48 Show data context 31 Show data context 1 Show data context 8 Show data context
Mines & Quarries
Metals, Machines 0 Show data context 3 Show data context 6 Show data context 7 Show data context 10 Show data context 29 Show data context 54 Show data context 162 Show data context 64 Show data context 2 Show data context 5 Show data context
Jewelry, Instruments 3 Show data context 115 Show data context 187 Show data context 175 Show data context 183 Show data context 323 Show data context 826 Show data context 2,754 Show data context 1,256 Show data context 82 Show data context 32 Show data context
Building 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 15 Show data context 5 Show data context 0 Show data context 0 Show data context
Wood, Furniture 0 Show data context 5 Show data context 13 Show data context 12 Show data context 16 Show data context 32 Show data context 83 Show data context 276 Show data context 172 Show data context 14 Show data context 9 Show data context
Brick, Cement 0 Show data context 5 Show data context 3 Show data context 8 Show data context 8 Show data context 11 Show data context 18 Show data context 118 Show data context 65 Show data context 9 Show data context 4 Show data context
Chemicals 0 Show data context 2 Show data context 0 Show data context 2 Show data context 1 Show data context 3 Show data context 13 Show data context 25 Show data context 23 Show data context 2 Show data context 0 Show data context
Skins, Leather 0 Show data context 2 Show data context 2 Show data context 3 Show data context 7 Show data context 4 Show data context 14 Show data context 128 Show data context 66 Show data context 6 Show data context 2 Show data context
Paper, Prints 0 Show data context 1 Show data context 0 Show data context 0 Show data context 0 Show data context 1 Show data context 3 Show data context 23 Show data context 24 Show data context 2 Show data context 3 Show data context
Textile Fabrics 0 Show data context 2 Show data context 4 Show data context 2 Show data context 2 Show data context 9 Show data context 7 Show data context 40 Show data context 16 Show data context 0 Show data context 0 Show data context
Dress 0 Show data context 0 Show data context 3 Show data context 5 Show data context 2 Show data context 3 Show data context 12 Show data context 31 Show data context 17 Show data context 1 Show data context 2 Show data context
Food, Drink 0 Show data context 2 Show data context 4 Show data context 5 Show data context 10 Show data context 13 Show data context 24 Show data context 108 Show data context 71 Show data context 10 Show data context 6 Show data context
Gas, Water 0 Show data context 18 Show data context 24 Show data context 25 Show data context 25 Show data context 52 Show data context 95 Show data context 344 Show data context 131 Show data context 10 Show data context 6 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 3 Show data context 6 Show data context 40 Show data context 22 Show data context 1 Show data context 0 Show data context
Unoccupied 0 Show data context 3 Show data context 1 Show data context 6 Show data context 9 Show data context 17 Show data context 45 Show data context 237 Show data context 147 Show data context 16 Show data context 12 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 1 Show data context 2 Show data context 7 Show data context 9 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 2 Show data context 2 Show data context 0 Show data context 6 Show data context 44 Show data context 97 Show data context 28 Show data context 1 Show data context 1 Show data context
Domestic Services 1 Show data context 21 Show data context 39 Show data context 64 Show data context 57 Show data context 105 Show data context 155 Show data context 176 Show data context 66 Show data context 3 Show data context 2 Show data context
Commercial Occupations 0 Show data context 1 Show data context 4 Show data context 10 Show data context 17 Show data context 21 Show data context 78 Show data context 45 Show data context 2 Show data context 1 Show data context 0 Show data context
Transport 0 Show data context 13 Show data context 11 Show data context 2 Show data context 0 Show data context 2 Show data context 3 Show data context 2 Show data context 0 Show data context 1 Show data context 0 Show data context
Agriculture 0 Show data context 0 Show data context 3 Show data context 0 Show data context 1 Show data context 4 Show data context 5 Show data context 8 Show data context 5 Show data context 2 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 1 Show data context 1 Show data context 0 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 9 Show data context 21 Show data context 19 Show data context 35 Show data context 31 Show data context 15 Show data context 2 Show data context 0 Show data context 1 Show data context
Building 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 2 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 1 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
Brick, Cement 0 Show data context 1 Show data context 1 Show data context 2 Show data context 2 Show data context 8 Show data context 8 Show data context 4 Show data context 1 Show data context 0 Show data context 0 Show data context
Chemicals 0 Show data context 0 Show data context 0 Show data context 5 Show data context 3 Show data context 6 Show data context 9 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 1 Show data context 1 Show data context 2 Show data context 1 Show data context 3 Show data context 1 Show data context 2 Show data context 2 Show data context 1 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 1 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 4 Show data context 5 Show data context 5 Show data context 8 Show data context 2 Show data context 7 Show data context 8 Show data context 3 Show data context 0 Show data context 0 Show data context
Dress 0 Show data context 2 Show data context 1 Show data context 7 Show data context 7 Show data context 10 Show data context 14 Show data context 11 Show data context 6 Show data context 1 Show data context 0 Show data context
Food, Drink 0 Show data context 11 Show data context 22 Show data context 30 Show data context 23 Show data context 54 Show data context 91 Show data context 145 Show data context 21 Show data context 1 Show data context 3 Show data context
Gas, Water 0 Show data context 14 Show data context 31 Show data context 30 Show data context 34 Show data context 43 Show data context 69 Show data context 71 Show data context 36 Show data context 5 Show data context 3 Show data context
Other & Undefined
Unoccupied 0 Show data context 4 Show data context 11 Show data context 11 Show data context 1 Show data context 28 Show data context 34 Show data context 19 Show data context 17 Show data context 4 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 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, Falkirk 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/10359442/cube/OCC_ORD1911_AGESEX_S

Date accessed: 27th April 2024