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 2 Show data context 0 Show data context 5 Show data context 5 Show data context 3 Show data context 18 Show data context 75 Show data context 26 Show data context 0 Show data context 1 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 1 Show data context 3 Show data context 1 Show data context 0 Show data context 0 Show data context
Professional Occupations 1 Show data context 3 Show data context 5 Show data context 14 Show data context 7 Show data context 16 Show data context 45 Show data context 178 Show data context 74 Show data context 7 Show data context 4 Show data context
Domestic Services 0 Show data context 1 Show data context 4 Show data context 0 Show data context 2 Show data context 4 Show data context 12 Show data context 51 Show data context 35 Show data context 2 Show data context 4 Show data context
Commercial Occupations 0 Show data context 8 Show data context 17 Show data context 6 Show data context 15 Show data context 24 Show data context 53 Show data context 211 Show data context 79 Show data context 7 Show data context 1 Show data context
Transport 0 Show data context 15 Show data context 13 Show data context 17 Show data context 17 Show data context 32 Show data context 110 Show data context 337 Show data context 225 Show data context 29 Show data context 10 Show data context
Agriculture 0 Show data context 0 Show data context 2 Show data context 2 Show data context 1 Show data context 7 Show data context 11 Show data context 40 Show data context 40 Show data context 4 Show data context 2 Show data context
Mines & Quarries
Metals, Machines 0 Show data context 33 Show data context 60 Show data context 58 Show data context 73 Show data context 144 Show data context 325 Show data context 909 Show data context 376 Show data context 24 Show data context 6 Show data context
Jewelry, Instruments 0 Show data context 14 Show data context 19 Show data context 15 Show data context 33 Show data context 50 Show data context 76 Show data context 221 Show data context 111 Show data context 15 Show data context 4 Show data context
Building 0 Show data context 2 Show data context 2 Show data context 3 Show data context 1 Show data context 5 Show data context 5 Show data context 15 Show data context 6 Show data context 0 Show data context 0 Show data context
Wood, Furniture 1 Show data context 12 Show data context 14 Show data context 31 Show data context 23 Show data context 48 Show data context 148 Show data context 417 Show data context 218 Show data context 17 Show data context 9 Show data context
Brick, Cement 0 Show data context 1 Show data context 3 Show data context 1 Show data context 2 Show data context 4 Show data context 9 Show data context 53 Show data context 15 Show data context 3 Show data context 1 Show data context
Chemicals 0 Show data context 1 Show data context 2 Show data context 4 Show data context 1 Show data context 2 Show data context 8 Show data context 33 Show data context 15 Show data context 0 Show data context 0 Show data context
Skins, Leather 0 Show data context 3 Show data context 4 Show data context 4 Show data context 2 Show data context 6 Show data context 15 Show data context 26 Show data context 13 Show data context 1 Show data context 0 Show data context
Paper, Prints 0 Show data context 2 Show data context 1 Show data context 0 Show data context 2 Show data context 2 Show data context 1 Show data context 6 Show data context 4 Show data context 0 Show data context 0 Show data context
Textile Fabrics 0 Show data context 3 Show data context 5 Show data context 6 Show data context 1 Show data context 5 Show data context 16 Show data context 34 Show data context 12 Show data context 2 Show data context 1 Show data context
Dress 0 Show data context 37 Show data context 63 Show data context 72 Show data context 38 Show data context 98 Show data context 181 Show data context 438 Show data context 303 Show data context 32 Show data context 29 Show data context
Food, Drink 0 Show data context 5 Show data context 5 Show data context 10 Show data context 6 Show data context 16 Show data context 28 Show data context 113 Show data context 71 Show data context 7 Show data context 9 Show data context
Gas, Water 0 Show data context 13 Show data context 21 Show data context 34 Show data context 29 Show data context 37 Show data context 90 Show data context 272 Show data context 117 Show data context 15 Show data context 9 Show data context
Other & Undefined 0 Show data context 0 Show data context 0 Show data context 0 Show data context 0 Show data context 0 Show data context 8 Show data context 30 Show data context 22 Show data context 3 Show data context 0 Show data context
Unoccupied 0 Show data context 4 Show data context 0 Show data context 4 Show data context 4 Show data context 14 Show data context 27 Show data context 265 Show data context 205 Show data context 16 Show data context 20 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 0 Show data context 4 Show data context 1 Show data context 5 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 2 Show data context 0 Show data context 1 Show data context 5 Show data context 45 Show data context 109 Show data context 31 Show data context 1 Show data context 2 Show data context
Domestic Services 0 Show data context 10 Show data context 13 Show data context 19 Show data context 36 Show data context 78 Show data context 149 Show data context 156 Show data context 80 Show data context 13 Show data context 11 Show data context
Commercial Occupations 0 Show data context 5 Show data context 6 Show data context 10 Show data context 17 Show data context 23 Show data context 56 Show data context 36 Show data context 3 Show data context 0 Show data context 0 Show data context
Transport 2 Show data context 6 Show data context 4 Show data context 1 Show data context 1 Show data context 1 Show data context 1 Show data context 1 Show data context 3 Show data context 1 Show data context 1 Show data context
Agriculture 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 11 Show data context 1 Show data context 2 Show data context
Mines & Quarries
Metals, Machines 0 Show data context 1 Show data context 0 Show data context 1 Show data context 1 Show data context 5 Show data context 4 Show data context 2 Show data context 1 Show data context 0 Show data context 0 Show data context
Jewelry, Instruments 0 Show data context 2 Show data context 4 Show data context 1 Show data context 1 Show data context 3 Show data context 4 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 2 Show data context 0 Show data context 1 Show data context 0 Show data context
Wood, Furniture
Brick, Cement 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 0 Show data context
Chemicals 0 Show data context 1 Show data context 0 Show data context 1 Show data context 0 Show data context 1 Show data context 1 Show data context 2 Show data context 0 Show data context 0 Show data context 0 Show data context
Skins, Leather 0 Show data context 1 Show data context 4 Show data context 8 Show data context 3 Show data context 13 Show data context 15 Show data context 11 Show data context 3 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 1 Show data context 2 Show data context 0 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 1 Show data context 1 Show data context 6 Show data context 9 Show data context 10 Show data context 2 Show data context 0 Show data context 0 Show data context
Dress 0 Show data context 96 Show data context 149 Show data context 158 Show data context 176 Show data context 328 Show data context 635 Show data context 872 Show data context 285 Show data context 18 Show data context 6 Show data context
Food, Drink 0 Show data context 11 Show data context 21 Show data context 19 Show data context 22 Show data context 26 Show data context 80 Show data context 122 Show data context 29 Show data context 4 Show data context 3 Show data context
Gas, Water 0 Show data context 2 Show data context 10 Show data context 3 Show data context 9 Show data context 18 Show data context 39 Show data context 70 Show data context 34 Show data context 2 Show data context 3 Show data context
Other & Undefined
Unoccupied 0 Show data context 1 Show data context 4 Show data context 8 Show data context 5 Show data context 13 Show data context 18 Show data context 39 Show data context 21 Show data context 1 Show data context 0 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, Dunfermline 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/10359170/cube/OCC_ORD1911_AGESEX_S

Date accessed: 14th May 2024