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 8 Show data context 1 Show data context 2 Show data context 6 Show data context 21 Show data context 59 Show data context 46 Show data context 1 Show data context 6 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 0 Show data context 23 Show data context 7 Show data context 1 Show data context 2 Show data context
Professional Occupations 0 Show data context 1 Show data context 7 Show data context 1 Show data context 3 Show data context 7 Show data context 20 Show data context 112 Show data context 94 Show data context 10 Show data context 12 Show data context
Domestic Services 0 Show data context 2 Show data context 7 Show data context 16 Show data context 18 Show data context 27 Show data context 52 Show data context 165 Show data context 103 Show data context 18 Show data context 9 Show data context
Commercial Occupations 1 Show data context 2 Show data context 4 Show data context 5 Show data context 8 Show data context 21 Show data context 31 Show data context 52 Show data context 40 Show data context 1 Show data context 2 Show data context
Transport 0 Show data context 19 Show data context 20 Show data context 10 Show data context 6 Show data context 21 Show data context 79 Show data context 203 Show data context 132 Show data context 14 Show data context 8 Show data context
Agriculture 0 Show data context 82 Show data context 151 Show data context 204 Show data context 165 Show data context 295 Show data context 556 Show data context 1,394 Show data context 968 Show data context 163 Show data context 182 Show data context
Fishing 0 Show data context 0 Show data context 2 Show data context 3 Show data context 5 Show data context 17 Show data context 41 Show data context 241 Show data context 229 Show data context 24 Show data context 15 Show data context
Mines & Quarries 0 Show data context 5 Show data context 0 Show data context 1 Show data context 1 Show data context 3 Show data context 7 Show data context 39 Show data context 19 Show data context 3 Show data context 4 Show data context
Metals, Machines 0 Show data context 3 Show data context 8 Show data context 4 Show data context 13 Show data context 25 Show data context 43 Show data context 101 Show data context 62 Show data context 10 Show data context 7 Show data context
Jewelry, Instruments 0 Show data context 1 Show data context 0 Show data context 3 Show data context 0 Show data context 2 Show data context 4 Show data context 8 Show data context 7 Show data context 0 Show data context 0 Show data context
Building 0 Show data context 3 Show data context 8 Show data context 12 Show data context 9 Show data context 29 Show data context 48 Show data context 198 Show data context 156 Show data context 24 Show data context 22 Show data context
Wood, Furniture 0 Show data context 7 Show data context 6 Show data context 8 Show data context 6 Show data context 7 Show data context 12 Show data context 41 Show data context 32 Show data context 2 Show data context 4 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 1 Show data context 2 Show data context 0 Show data context 1 Show data context
Chemicals 0 Show data context 0 Show data context 0 Show data context 0 Show data context 3 Show data context 5 Show data context 4 Show data context 33 Show data context 22 Show data context 1 Show data context 1 Show data context
Skins, Leather 0 Show data context 1 Show data context 4 Show data context 1 Show data context 4 Show data context 9 Show data context 7 Show data context 30 Show data context 21 Show data context 3 Show data context 2 Show data context
Paper, Prints 0 Show data context 0 Show data context 1 Show data context 4 Show data context 0 Show data context 2 Show data context 6 Show data context 9 Show data context 4 Show data context 0 Show data context 0 Show data context
Textile Fabrics 2 Show data context 22 Show data context 25 Show data context 28 Show data context 11 Show data context 19 Show data context 27 Show data context 50 Show data context 58 Show data context 11 Show data context 8 Show data context
Dress 0 Show data context 5 Show data context 3 Show data context 4 Show data context 10 Show data context 12 Show data context 22 Show data context 80 Show data context 65 Show data context 11 Show data context 16 Show data context
Food, Drink 0 Show data context 12 Show data context 19 Show data context 21 Show data context 22 Show data context 29 Show data context 44 Show data context 171 Show data context 129 Show data context 16 Show data context 14 Show data context
Gas, Water 0 Show data context 0 Show data context 1 Show data context 1 Show data context 1 Show data context 0 Show data context 1 Show data context 9 Show data context 9 Show data context 0 Show data context 0 Show data context
Other & Undefined 1 Show data context 0 Show data context 3 Show data context 3 Show data context 2 Show data context 7 Show data context 23 Show data context 109 Show data context 97 Show data context 16 Show data context 33 Show data context
Unoccupied 1,313 Show data context 162 Show data context 66 Show data context 42 Show data context 29 Show data context 57 Show data context 56 Show data context 46 Show data context 96 Show data context 66 Show data context 384 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 0 Show data context 2 Show data context 1 Show data context 5 Show data context 13 Show data context 4 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 1 Show data context 6 Show data context 40 Show data context 129 Show data context 39 Show data context 4 Show data context 2 Show data context
Domestic Services 1 Show data context 59 Show data context 76 Show data context 92 Show data context 91 Show data context 123 Show data context 313 Show data context 477 Show data context 246 Show data context 28 Show data context 26 Show data context
Commercial Occupations 0 Show data context 0 Show data context 2 Show data context 4 Show data context 2 Show data context 11 Show data context 20 Show data context 28 Show data context 2 Show data context 0 Show data context 0 Show data context
Transport 0 Show data context 1 Show data context 2 Show data context 0 Show data context 1 Show data context 1 Show data context 2 Show data context 1 Show data context 0 Show data context 0 Show data context 0 Show data context
Agriculture 0 Show data context 6 Show data context 17 Show data context 9 Show data context 13 Show data context 15 Show data context 41 Show data context 95 Show data context 72 Show data context 27 Show data context 11 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 2 Show data context 0 Show data context 0 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 0 Show data context 2 Show data context 2 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 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
Building
Wood, Furniture 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 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 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
Chemicals 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 2 Show data context 1 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 1 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
Paper, Prints 0 Show data context 0 Show data context 0 Show data context 0 Show data context 1 Show data context 2 Show data context 5 Show data context 5 Show data context 2 Show data context 0 Show data context 2 Show data context
Textile Fabrics 0 Show data context 27 Show data context 34 Show data context 27 Show data context 47 Show data context 98 Show data context 126 Show data context 119 Show data context 38 Show data context 3 Show data context 4 Show data context
Dress 0 Show data context 3 Show data context 13 Show data context 23 Show data context 16 Show data context 21 Show data context 37 Show data context 88 Show data context 49 Show data context 9 Show data context 7 Show data context
Food, Drink 0 Show data context 2 Show data context 3 Show data context 6 Show data context 2 Show data context 9 Show data context 28 Show data context 44 Show data context 59 Show data context 15 Show data context 14 Show data context
Gas, Water
Other & Undefined 0 Show data context 0 Show data context 1 Show data context 1 Show data context 3 Show data context 1 Show data context 4 Show data context 25 Show data context 13 Show data context 9 Show data context 2 Show data context
Unoccupied 1,262 Show data context 234 Show data context 121 Show data context 98 Show data context 85 Show data context 223 Show data context 470 Show data context 2,934 Show data context 2,158 Show data context 434 Show data context 819 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, Kincardineshire 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/10102972/cube/OCC_ORD1911_AGESEX_S

Date accessed: 27th April 2024