Persons Aged over 10 by Sex, Age and 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 3 Show data context 3 Show data context 0 Show data context 6 Show data context 5 Show data context 17 Show data context 66 Show data context 33 Show data context 1 Show data context 2 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 2 Show data context 6 Show data context 0 Show data context 0 Show data context 0 Show data context
Professional Occupations 0 Show data context 0 Show data context 7 Show data context 3 Show data context 11 Show data context 10 Show data context 29 Show data context 123 Show data context 71 Show data context 5 Show data context 6 Show data context
Domestic Services 0 Show data context 2 Show data context 4 Show data context 3 Show data context 5 Show data context 14 Show data context 20 Show data context 110 Show data context 48 Show data context 5 Show data context 5 Show data context
Commercial Occupations 0 Show data context 8 Show data context 14 Show data context 9 Show data context 17 Show data context 38 Show data context 66 Show data context 142 Show data context 72 Show data context 6 Show data context 4 Show data context
Transport 0 Show data context 21 Show data context 6 Show data context 10 Show data context 8 Show data context 28 Show data context 87 Show data context 334 Show data context 218 Show data context 15 Show data context 13 Show data context
Agriculture 0 Show data context 4 Show data context 12 Show data context 20 Show data context 20 Show data context 16 Show data context 39 Show data context 189 Show data context 140 Show data context 22 Show data context 29 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 6 Show data context 5 Show data context 0 Show data context 0 Show data context
Mines and Quarries 0 Show data context 16 Show data context 31 Show data context 50 Show data context 43 Show data context 85 Show data context 186 Show data context 602 Show data context 334 Show data context 34 Show data context 15 Show data context
Metals, Machines 0 Show data context 18 Show data context 29 Show data context 39 Show data context 39 Show data context 72 Show data context 135 Show data context 284 Show data context 150 Show data context 12 Show data context 6 Show data context
Jewelry, Instruments 0 Show data context 3 Show data context 0 Show data context 1 Show data context 3 Show data context 2 Show data context 8 Show data context 13 Show data context 5 Show data context 0 Show data context 0 Show data context
Building 0 Show data context 2 Show data context 9 Show data context 14 Show data context 17 Show data context 29 Show data context 83 Show data context 264 Show data context 178 Show data context 31 Show data context 10 Show data context
Wood, Furniture 1 Show data context 6 Show data context 6 Show data context 14 Show data context 15 Show data context 22 Show data context 45 Show data context 163 Show data context 79 Show data context 5 Show data context 8 Show data context
Brick, Cement 2 Show data context 16 Show data context 23 Show data context 18 Show data context 28 Show data context 41 Show data context 77 Show data context 176 Show data context 55 Show data context 2 Show data context 2 Show data context
Chemicals 0 Show data context 1 Show data context 2 Show data context 3 Show data context 4 Show data context 3 Show data context 6 Show data context 10 Show data context 6 Show data context 0 Show data context 1 Show data context
Skins, Leather 0 Show data context 3 Show data context 1 Show data context 3 Show data context 2 Show data context 3 Show data context 15 Show data context 60 Show data context 22 Show data context 7 Show data context 2 Show data context
Paper, Prints 0 Show data context 4 Show data context 6 Show data context 2 Show data context 1 Show data context 6 Show data context 15 Show data context 36 Show data context 14 Show data context 2 Show data context 0 Show data context
Textile Fabrics 7 Show data context 69 Show data context 96 Show data context 70 Show data context 61 Show data context 100 Show data context 192 Show data context 466 Show data context 405 Show data context 71 Show data context 31 Show data context
Dress 0 Show data context 1 Show data context 6 Show data context 4 Show data context 2 Show data context 10 Show data context 16 Show data context 91 Show data context 55 Show data context 12 Show data context 7 Show data context
Food, Drink 1 Show data context 20 Show data context 32 Show data context 43 Show data context 37 Show data context 66 Show data context 131 Show data context 461 Show data context 224 Show data context 29 Show data context 9 Show data context
Gas, Water 0 Show data context 0 Show data context 0 Show data context 1 Show data context 2 Show data context 0 Show data context 5 Show data context 34 Show data context 22 Show data context 4 Show data context 1 Show data context
Other and Undefined 0 Show data context 2 Show data context 3 Show data context 1 Show data context 7 Show data context 6 Show data context 25 Show data context 171 Show data context 118 Show data context 13 Show data context 8 Show data context
Unoccupied 1,349 Show data context 131 Show data context 67 Show data context 36 Show data context 25 Show data context 15 Show data context 44 Show data context 24 Show data context 81 Show data context 59 Show data context 248 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 0 Show data context 8 Show data context 4 Show data context 7 Show data context 0 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 0 Show data context 4 Show data context 54 Show data context 143 Show data context 31 Show data context 1 Show data context 0 Show data context
Domestic Services 0 Show data context 9 Show data context 25 Show data context 42 Show data context 43 Show data context 103 Show data context 187 Show data context 246 Show data context 129 Show data context 15 Show data context 13 Show data context
Commercial Occupations 0 Show data context 3 Show data context 11 Show data context 8 Show data context 7 Show data context 22 Show data context 36 Show data context 32 Show data context 1 Show data context 0 Show data context 0 Show data context
Transport 0 Show data context 3 Show data context 1 Show data context 2 Show data context 0 Show data context 0 Show data context 2 Show data context 4 Show data context 2 Show data context 0 Show data context 1 Show data context
Agriculture 0 Show data context 2 Show data context 1 Show data context 1 Show data context 1 Show data context 4 Show data context 6 Show data context 15 Show data context 18 Show data context 0 Show data context 3 Show data context
Fishing
Mines and 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 1 Show data context 1 Show data context 0 Show data context 0 Show data context 0 Show data context
Metals, Machines 0 Show data context 1 Show data context 1 Show data context 4 Show data context 1 Show data context 7 Show data context 4 Show data context 1 Show data context 1 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 2 Show data context 2 Show data context 1 Show data context 0 Show data context 0 Show data context
Building 0 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 0 Show data context 0 Show data context 0 Show data context 0 Show data context
Wood, Furniture 0 Show data context 1 Show data context 2 Show data context 5 Show data context 2 Show data context 5 Show data context 16 Show data context 9 Show data context 3 Show data context 1 Show data context 0 Show data context
Brick, Cement 0 Show data context 1 Show data context 2 Show data context 2 Show data context 5 Show data context 4 Show data context 13 Show data context 10 Show data context 3 Show data context 0 Show data context 0 Show data context
Chemicals 0 Show data context 1 Show data context 0 Show data context 2 Show data context 0 Show data context 0 Show data context 1 Show data context 5 Show data context 0 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 0 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
Paper, Prints 0 Show data context 2 Show data context 3 Show data context 2 Show data context 5 Show data context 9 Show data context 17 Show data context 7 Show data context 4 Show data context 0 Show data context 1 Show data context
Textile Fabrics 8 Show data context 150 Show data context 177 Show data context 180 Show data context 204 Show data context 338 Show data context 601 Show data context 626 Show data context 175 Show data context 21 Show data context 10 Show data context
Dress 1 Show data context 18 Show data context 21 Show data context 19 Show data context 21 Show data context 41 Show data context 87 Show data context 126 Show data context 41 Show data context 6 Show data context 5 Show data context
Food, Drink 0 Show data context 1 Show data context 6 Show data context 3 Show data context 5 Show data context 14 Show data context 30 Show data context 73 Show data context 48 Show data context 11 Show data context 5 Show data context
Gas, Water 0 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 0 Show data context 0 Show data context 0 Show data context 0 Show data context
Other and Undefined 0 Show data context 0 Show data context 2 Show data context 3 Show data context 4 Show data context 6 Show data context 10 Show data context 17 Show data context 10 Show data context 3 Show data context 3 Show data context
Unoccupied 1,291 Show data context 129 Show data context 60 Show data context 59 Show data context 69 Show data context 125 Show data context 480 Show data context 3,332 Show data context 2,270 Show data context 368 Show data context 584 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, Clackmannanshire ScoCnty through time | Industry Statistics | Persons Aged over 10 by Sex, Age and 1911 Occupational Order, A Vision of Britain through Time.

URL: http://www.visionofbritain.org.uk/unit/10036045/cube/OCC_ORD1911_AGESEX_S

Date accessed: 17th October 2019