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 1 Show data context 7 Show data context 2 Show data context 7 Show data context 6 Show data context 27 Show data context 89 Show data context 42 Show data context 3 Show data context 1 Show data context
Defence 0 Show data context 0 Show data context 0 Show data context 0 Show data context 39 Show data context 96 Show data context 99 Show data context 194 Show data context 13 Show data context 1 Show data context 0 Show data context
Professional Occupations 0 Show data context 5 Show data context 5 Show data context 15 Show data context 4 Show data context 15 Show data context 31 Show data context 184 Show data context 73 Show data context 10 Show data context 2 Show data context
Domestic Services 0 Show data context 0 Show data context 0 Show data context 2 Show data context 1 Show data context 3 Show data context 4 Show data context 35 Show data context 24 Show data context 4 Show data context 3 Show data context
Commercial Occupations 0 Show data context 4 Show data context 5 Show data context 11 Show data context 17 Show data context 37 Show data context 55 Show data context 183 Show data context 69 Show data context 6 Show data context 6 Show data context
Transport 8 Show data context 55 Show data context 37 Show data context 30 Show data context 31 Show data context 68 Show data context 193 Show data context 569 Show data context 194 Show data context 21 Show data context 7 Show data context
Agriculture 0 Show data context 0 Show data context 1 Show data context 4 Show data context 3 Show data context 4 Show data context 10 Show data context 48 Show data context 32 Show data context 11 Show data context 9 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 1 Show data context 0 Show data context 0 Show data context 0 Show data context 0 Show data context
Mines & Quarries 16 Show data context 117 Show data context 195 Show data context 177 Show data context 204 Show data context 399 Show data context 1,026 Show data context 3,093 Show data context 1,144 Show data context 86 Show data context 33 Show data context
Metals, Machines 1 Show data context 15 Show data context 23 Show data context 34 Show data context 32 Show data context 74 Show data context 152 Show data context 374 Show data context 166 Show data context 15 Show data context 5 Show data context
Jewelry, Instruments 0 Show data context 0 Show data context 1 Show data context 0 Show data context 1 Show data context 2 Show data context 4 Show data context 13 Show data context 2 Show data context 1 Show data context 0 Show data context
Building 0 Show data context 7 Show data context 17 Show data context 13 Show data context 11 Show data context 30 Show data context 108 Show data context 321 Show data context 185 Show data context 22 Show data context 13 Show data context
Wood, Furniture 0 Show data context 1 Show data context 4 Show data context 0 Show data context 1 Show data context 2 Show data context 6 Show data context 25 Show data context 23 Show data context 2 Show data context 3 Show data context
Brick, Cement 0 Show data context 1 Show data context 1 Show data context 0 Show data context 0 Show data context 1 Show data context 2 Show data context 3 Show data context 5 Show data context 0 Show data context 0 Show data context
Chemicals 0 Show data context 0 Show data context 2 Show data context 0 Show data context 0 Show data context 1 Show data context 2 Show data context 17 Show data context 7 Show data context 1 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 1 Show data context 2 Show data context 3 Show data context 10 Show data context 8 Show data context 2 Show data context 0 Show data context
Paper, Prints 0 Show data context 2 Show data context 1 Show data context 3 Show data context 2 Show data context 7 Show data context 6 Show data context 28 Show data context 20 Show data context 2 Show data context 2 Show data context
Textile Fabrics 0 Show data context 0 Show data context 5 Show data context 2 Show data context 4 Show data context 5 Show data context 7 Show data context 46 Show data context 24 Show data context 1 Show data context 5 Show data context
Dress 1 Show data context 3 Show data context 9 Show data context 4 Show data context 10 Show data context 14 Show data context 29 Show data context 127 Show data context 74 Show data context 6 Show data context 6 Show data context
Food, Drink 0 Show data context 14 Show data context 22 Show data context 32 Show data context 38 Show data context 41 Show data context 122 Show data context 372 Show data context 129 Show data context 9 Show data context 3 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 2 Show data context 1 Show data context 39 Show data context 23 Show data context 0 Show data context 0 Show data context
Other & Undefined 0 Show data context 5 Show data context 2 Show data context 5 Show data context 7 Show data context 15 Show data context 43 Show data context 199 Show data context 166 Show data context 18 Show data context 14 Show data context
Unoccupied 1,709 Show data context 159 Show data context 36 Show data context 25 Show data context 14 Show data context 19 Show data context 28 Show data context 43 Show data context 60 Show data context 75 Show data context 146 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 0 Show data context 3 Show data context 7 Show data context 1 Show data context 0 Show data context 0 Show data context
Defence
Professional Occupations 0 Show data context 1 Show data context 2 Show data context 2 Show data context 0 Show data context 6 Show data context 50 Show data context 116 Show data context 21 Show data context 4 Show data context 0 Show data context
Domestic Services 1 Show data context 26 Show data context 34 Show data context 34 Show data context 71 Show data context 113 Show data context 189 Show data context 181 Show data context 64 Show data context 8 Show data context 9 Show data context
Commercial Occupations 0 Show data context 6 Show data context 10 Show data context 10 Show data context 13 Show data context 33 Show data context 55 Show data context 52 Show data context 2 Show data context 0 Show data context 0 Show data context
Transport 2 Show data context 20 Show data context 14 Show data context 4 Show data context 9 Show data context 0 Show data context 3 Show data context 4 Show data context 2 Show data context 0 Show data context 0 Show data context
Agriculture 0 Show data context 0 Show data context 1 Show data context 1 Show data context 4 Show data context 4 Show data context 5 Show data context 1 Show data context 4 Show data context 0 Show data context 0 Show data context
Fishing
Mines & Quarries 0 Show data context 1 Show data context 6 Show data context 7 Show data context 11 Show data context 18 Show data context 16 Show data context 5 Show data context 0 Show data context 0 Show data context 0 Show data context
Metals, Machines 0 Show data context 0 Show data context 0 Show data context 0 Show data context 0 Show data context 3 Show data context 8 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 0 Show data context 2 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 0 Show data context
Building
Wood, Furniture 0 Show data context 1 Show data context 1 Show data context 0 Show data context 0 Show data context 1 Show data context 2 Show data context 3 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 1 Show data context 1 Show data context 0 Show data context 3 Show data context 1 Show data context 2 Show data context 0 Show data context 0 Show data context 0 Show data context
Chemicals 0 Show data context 0 Show data context 1 Show data context 4 Show data context 1 Show data context 2 Show data context 1 Show data context 0 Show data context 3 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 1 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
Paper, Prints 0 Show data context 1 Show data context 1 Show data context 4 Show data context 1 Show data context 4 Show data context 10 Show data context 11 Show data context 2 Show data context 1 Show data context 0 Show data context
Textile Fabrics 0 Show data context 14 Show data context 28 Show data context 23 Show data context 18 Show data context 44 Show data context 42 Show data context 46 Show data context 9 Show data context 3 Show data context 0 Show data context
Dress 0 Show data context 19 Show data context 34 Show data context 26 Show data context 44 Show data context 82 Show data context 133 Show data context 137 Show data context 30 Show data context 4 Show data context 1 Show data context
Food, Drink 0 Show data context 7 Show data context 22 Show data context 21 Show data context 27 Show data context 62 Show data context 96 Show data context 82 Show data context 45 Show data context 3 Show data context 9 Show data context
Gas, Water
Other & Undefined 0 Show data context 4 Show data context 8 Show data context 8 Show data context 8 Show data context 10 Show data context 24 Show data context 32 Show data context 14 Show data context 4 Show data context 3 Show data context
Unoccupied 1,689 Show data context 301 Show data context 182 Show data context 166 Show data context 123 Show data context 227 Show data context 945 Show data context 4,350 Show data context 1,920 Show data context 242 Show data context 348 Show data context
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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, Hamilton 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/10359892/cube/OCC_ORD1911_AGESEX_S

Date accessed: 28th April 2024