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 5 Show data context 1 Show data context 2 Show data context 5 Show data context 18 Show data context 33 Show data context 21 Show data context 1 Show data context 4 Show data context
Defence 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 3 Show data context 0 Show data context 0 Show data context 1 Show data context
Professional Occupations 0 Show data context 2 Show data context 2 Show data context 3 Show data context 3 Show data context 9 Show data context 12 Show data context 72 Show data context 55 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 11 Show data context 4 Show data context 17 Show data context 52 Show data context 161 Show data context 68 Show data context 8 Show data context 10 Show data context
Commercial Occupations 1 Show data context 1 Show data context 4 Show data context 7 Show data context 6 Show data context 9 Show data context 36 Show data context 70 Show data context 38 Show data context 1 Show data context 2 Show data context
Transport 0 Show data context 5 Show data context 10 Show data context 10 Show data context 3 Show data context 13 Show data context 34 Show data context 147 Show data context 76 Show data context 3 Show data context 4 Show data context
Agriculture 0 Show data context 29 Show data context 22 Show data context 30 Show data context 50 Show data context 61 Show data context 131 Show data context 472 Show data context 317 Show data context 63 Show data context 39 Show data context
Mines and Quarries
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 6 Show data context 18 Show data context 11 Show data context 2 Show data context 3 Show data context
Jewelry, Instruments 0 Show data context 2 Show data context 1 Show data context 7 Show data context 3 Show data context 13 Show data context 24 Show data context 41 Show data context 26 Show data context 5 Show data context 6 Show data context
Building 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 7 Show data context 2 Show data context 1 Show data context 1 Show data context
Wood, Furniture 0 Show data context 2 Show data context 2 Show data context 7 Show data context 9 Show data context 17 Show data context 45 Show data context 165 Show data context 105 Show data context 25 Show data context 14 Show data context
Brick, Cement 0 Show data context 0 Show data context 1 Show data context 3 Show data context 1 Show data context 1 Show data context 8 Show data context 29 Show data context 10 Show data context 1 Show data context 2 Show data context
Chemicals 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 0 Show data context
Skins, Leather 0 Show data context 1 Show data context 0 Show data context 0 Show data context 0 Show data context 2 Show data context 3 Show data context 6 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 5 Show data context 11 Show data context 1 Show data context 1 Show data context 0 Show data context
Textile Fabrics 0 Show data context 2 Show data context 1 Show data context 0 Show data context 5 Show data context 3 Show data context 6 Show data context 15 Show data context 5 Show data context 0 Show data context 1 Show data context
Dress 1 Show data context 33 Show data context 51 Show data context 44 Show data context 50 Show data context 78 Show data context 168 Show data context 461 Show data context 287 Show data context 27 Show data context 14 Show data context
Food, Drink 2 Show data context 2 Show data context 0 Show data context 0 Show data context 1 Show data context 0 Show data context 2 Show data context 56 Show data context 44 Show data context 5 Show data context 5 Show data context
Gas, Water 1 Show data context 5 Show data context 10 Show data context 10 Show data context 9 Show data context 22 Show data context 26 Show data context 116 Show data context 56 Show data context 9 Show data context 3 Show data context
Other and 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 0 Show data context 15 Show data context 7 Show data context 1 Show data context 0 Show data context
Unoccupied 0 Show data context 0 Show data context 1 Show data context 0 Show data context 0 Show data context 3 Show data context 8 Show data context 46 Show data context 24 Show data context 11 Show data context 7 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 1 Show data context 2 Show data context 0 Show data context 4 Show data context 11 Show data context 6 Show data context 0 Show data context 2 Show data context
Defence
Professional Occupations 0 Show data context 0 Show data context 0 Show data context 1 Show data context 0 Show data context 2 Show data context 17 Show data context 47 Show data context 22 Show data context 2 Show data context 0 Show data context
Domestic Services 0 Show data context 5 Show data context 24 Show data context 29 Show data context 35 Show data context 69 Show data context 165 Show data context 253 Show data context 92 Show data context 7 Show data context 5 Show data context
Commercial Occupations 0 Show data context 0 Show data context 3 Show data context 3 Show data context 3 Show data context 11 Show data context 23 Show data context 19 Show data context 1 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 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
Agriculture 0 Show data context 1 Show data context 2 Show data context 4 Show data context 2 Show data context 8 Show data context 25 Show data context 33 Show data context 33 Show data context 2 Show data context 2 Show data context
Mines and Quarries
Metals, Machines
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 0 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 0 Show data context 1 Show data context 0 Show data context 0 Show data context
Wood, Furniture 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 0 Show data context 0 Show data context
Brick, Cement 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 0 Show data context
Chemicals 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 3 Show data context 0 Show data context 1 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 0 Show data context 0 Show data context 0 Show data context
Paper, Prints
Textile Fabrics 0 Show data context 0 Show data context 0 Show data context 1 Show data context 1 Show data context 1 Show data context 2 Show data context 6 Show data context 0 Show data context 0 Show data context 0 Show data context
Dress 1 Show data context 40 Show data context 62 Show data context 61 Show data context 64 Show data context 115 Show data context 263 Show data context 492 Show data context 136 Show data context 12 Show data context 2 Show data context
Food, Drink 0 Show data context 4 Show data context 9 Show data context 11 Show data context 8 Show data context 23 Show data context 36 Show data context 61 Show data context 19 Show data context 2 Show data context 1 Show data context
Gas, Water 0 Show data context 1 Show data context 3 Show data context 0 Show data context 3 Show data context 5 Show data context 18 Show data context 25 Show data context 21 Show data context 1 Show data context 4 Show data context
Other and Undefined
Unoccupied 0 Show data context 1 Show data context 0 Show data context 0 Show data context 1 Show data context 1 Show data context 4 Show data context 5 Show data context 5 Show data context 2 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, Peebles Shire 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/10036069/cube/OCC_ORD1911_AGESEX_S

Date accessed: 22nd November 2019