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 6 Show data context 9 Show data context 3 Show data context 4 Show data context 5 Show data context 21 Show data context 63 Show data context 41 Show data context 3 Show data context 0 Show data context
Defence 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 12 Show data context 4 Show data context 1 Show data context 0 Show data context
Professional Occupations 0 Show data context 1 Show data context 1 Show data context 5 Show data context 3 Show data context 6 Show data context 24 Show data context 118 Show data context 111 Show data context 11 Show data context 9 Show data context
Domestic Services 0 Show data context 1 Show data context 4 Show data context 7 Show data context 6 Show data context 24 Show data context 56 Show data context 162 Show data context 97 Show data context 17 Show data context 5 Show data context
Commercial Occupations 0 Show data context 1 Show data context 8 Show data context 7 Show data context 9 Show data context 9 Show data context 34 Show data context 80 Show data context 41 Show data context 4 Show data context 4 Show data context
Transport 0 Show data context 13 Show data context 23 Show data context 13 Show data context 20 Show data context 33 Show data context 105 Show data context 366 Show data context 210 Show data context 18 Show data context 16 Show data context
Agriculture 0 Show data context 81 Show data context 140 Show data context 153 Show data context 149 Show data context 301 Show data context 586 Show data context 1,520 Show data context 1,038 Show data context 161 Show data context 153 Show data context
Fishing 0 Show data context 1 Show data context 2 Show data context 2 Show data context 3 Show data context 9 Show data context 17 Show data context 83 Show data context 43 Show data context 8 Show data context 9 Show data context
Mines & Quarries 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 19 Show data context 11 Show data context 4 Show data context 2 Show data context
Metals, Machines 0 Show data context 10 Show data context 13 Show data context 19 Show data context 17 Show data context 37 Show data context 43 Show data context 131 Show data context 90 Show data context 10 Show data context 11 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 0 Show data context 4 Show data context 20 Show data context 5 Show data context 0 Show data context 2 Show data context
Building 0 Show data context 6 Show data context 7 Show data context 10 Show data context 9 Show data context 28 Show data context 77 Show data context 251 Show data context 224 Show data context 26 Show data context 21 Show data context
Wood, Furniture 0 Show data context 1 Show data context 1 Show data context 1 Show data context 2 Show data context 2 Show data context 4 Show data context 19 Show data context 25 Show data context 1 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 1 Show data context 3 Show data context 6 Show data context 7 Show data context 0 Show data context 0 Show data context
Chemicals 0 Show data context 1 Show data context 0 Show data context 0 Show data context 1 Show data context 2 Show data context 2 Show data context 15 Show data context 1 Show data context 0 Show data context 2 Show data context
Skins, Leather 0 Show data context 0 Show data context 2 Show data context 0 Show data context 1 Show data context 2 Show data context 5 Show data context 14 Show data context 10 Show data context 2 Show data context 1 Show data context
Paper, Prints 0 Show data context 0 Show data context 1 Show data context 0 Show data context 1 Show data context 3 Show data context 5 Show data context 17 Show data context 9 Show data context 1 Show data context 1 Show data context
Textile Fabrics 0 Show data context 6 Show data context 10 Show data context 14 Show data context 16 Show data context 17 Show data context 13 Show data context 65 Show data context 39 Show data context 2 Show data context 6 Show data context
Dress 0 Show data context 4 Show data context 14 Show data context 9 Show data context 5 Show data context 11 Show data context 35 Show data context 92 Show data context 79 Show data context 18 Show data context 13 Show data context
Food, Drink 1 Show data context 8 Show data context 29 Show data context 27 Show data context 33 Show data context 47 Show data context 114 Show data context 295 Show data context 163 Show data context 18 Show data context 17 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 9 Show data context 11 Show data context 0 Show data context 2 Show data context
Other & Undefined 0 Show data context 1 Show data context 3 Show data context 6 Show data context 8 Show data context 21 Show data context 54 Show data context 191 Show data context 156 Show data context 29 Show data context 27 Show data context
Unoccupied 1,252 Show data context 202 Show data context 96 Show data context 52 Show data context 37 Show data context 21 Show data context 28 Show data context 61 Show data context 123 Show data context 78 Show data context 311 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 1 Show data context 0 Show data context 0 Show data context 1 Show data context 2 Show data context 2 Show data context 11 Show data context 21 Show data context 12 Show data context 3 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 2 Show data context 48 Show data context 103 Show data context 42 Show data context 7 Show data context 0 Show data context
Domestic Services 0 Show data context 25 Show data context 51 Show data context 70 Show data context 96 Show data context 214 Show data context 355 Show data context 441 Show data context 200 Show data context 20 Show data context 28 Show data context
Commercial Occupations 0 Show data context 0 Show data context 4 Show data context 1 Show data context 2 Show data context 16 Show data context 24 Show data context 13 Show data context 1 Show data context 0 Show data context 0 Show data context
Transport 1 Show data context 4 Show data context 3 Show data context 2 Show data context 0 Show data context 1 Show data context 1 Show data context 1 Show data context 2 Show data context 1 Show data context 0 Show data context
Agriculture 0 Show data context 14 Show data context 51 Show data context 68 Show data context 48 Show data context 80 Show data context 175 Show data context 263 Show data context 195 Show data context 29 Show data context 21 Show data context
Fishing 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 0 Show data context 0 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 0 Show data context 0 Show data context 3 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 0 Show data context 0 Show data context 2 Show data context 2 Show data context 0 Show data context 1 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 0 Show data context 1 Show data context 2 Show data context 0 Show data context 1 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 0 Show data context 1 Show data context 1 Show data context 2 Show data context
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 1 Show data context 0 Show data context 0 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 0 Show data context 0 Show data context 2 Show data context 1 Show data context 0 Show data context 0 Show data context
Chemicals
Skins, Leather
Paper, Prints 0 Show data context 0 Show data context 3 Show data context 1 Show data context 0 Show data context 3 Show data context 5 Show data context 8 Show data context 1 Show data context 0 Show data context 0 Show data context
Textile Fabrics 0 Show data context 0 Show data context 5 Show data context 8 Show data context 10 Show data context 17 Show data context 28 Show data context 27 Show data context 13 Show data context 0 Show data context 3 Show data context
Dress 0 Show data context 1 Show data context 16 Show data context 14 Show data context 20 Show data context 37 Show data context 60 Show data context 166 Show data context 65 Show data context 11 Show data context 13 Show data context
Food, Drink 0 Show data context 3 Show data context 4 Show data context 8 Show data context 8 Show data context 16 Show data context 40 Show data context 83 Show data context 84 Show data context 23 Show data context 22 Show data context
Gas, Water
Other & Undefined 0 Show data context 1 Show data context 1 Show data context 1 Show data context 0 Show data context 1 Show data context 6 Show data context 18 Show data context 13 Show data context 2 Show data context 3 Show data context
Unoccupied 1,377 Show data context 303 Show data context 177 Show data context 152 Show data context 142 Show data context 230 Show data context 658 Show data context 3,271 Show data context 2,331 Show data context 417 Show data context 816 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, Wigtownshire 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/10091974/cube/OCC_ORD1911_AGESEX_S

Date accessed: 25th April 2024