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 1 Show data context 5 Show data context 10 Show data context 4 Show data context 3 Show data context 2 Show data context 22 Show data context 63 Show data context 37 Show data context 4 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 1 Show data context 24 Show data context 10 Show data context 1 Show data context 0 Show data context
Professional Occupations 0 Show data context 2 Show data context 1 Show data context 9 Show data context 4 Show data context 7 Show data context 17 Show data context 119 Show data context 92 Show data context 6 Show data context 11 Show data context
Domestic Services 0 Show data context 7 Show data context 12 Show data context 22 Show data context 16 Show data context 47 Show data context 90 Show data context 381 Show data context 147 Show data context 14 Show data context 12 Show data context
Commercial Occupations 0 Show data context 0 Show data context 2 Show data context 5 Show data context 4 Show data context 9 Show data context 25 Show data context 54 Show data context 29 Show data context 5 Show data context 5 Show data context
Transport 0 Show data context 11 Show data context 11 Show data context 9 Show data context 10 Show data context 26 Show data context 61 Show data context 246 Show data context 131 Show data context 24 Show data context 8 Show data context
Agriculture 1 Show data context 72 Show data context 125 Show data context 122 Show data context 152 Show data context 246 Show data context 510 Show data context 1,558 Show data context 1,052 Show data context 144 Show data context 117 Show data context
Fishing 0 Show data context 0 Show data context 3 Show data context 15 Show data context 12 Show data context 30 Show data context 68 Show data context 300 Show data context 145 Show data context 33 Show data context 16 Show data context
Mines and Quarries 0 Show data context 0 Show data context 0 Show data context 1 Show data context 0 Show data context 1 Show data context 6 Show data context 17 Show data context 21 Show data context 3 Show data context 5 Show data context
Metals, Machines 0 Show data context 7 Show data context 9 Show data context 6 Show data context 11 Show data context 33 Show data context 45 Show data context 118 Show data context 66 Show data context 14 Show data context 8 Show data context
Jewelry, Instruments 0 Show data context 1 Show data context 0 Show data context 2 Show data context 0 Show data context 4 Show data context 0 Show data context 6 Show data context 5 Show data context 1 Show data context 1 Show data context
Building 0 Show data context 6 Show data context 8 Show data context 11 Show data context 10 Show data context 28 Show data context 67 Show data context 245 Show data context 214 Show data context 25 Show data context 22 Show data context
Wood, Furniture 0 Show data context 0 Show data context 1 Show data context 2 Show data context 0 Show data context 4 Show data context 17 Show data context 48 Show data context 25 Show data context 6 Show data context 3 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 2 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 3 Show data context 1 Show data context 2 Show data context 3 Show data context 7 Show data context 4 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 1 Show data context 1 Show data context 3 Show data context 2 Show data context 9 Show data context 4 Show data context 1 Show data context 3 Show data context
Paper, Prints 0 Show data context 2 Show data context 4 Show data context 3 Show data context 7 Show data context 4 Show data context 17 Show data context 57 Show data context 42 Show data context 3 Show data context 1 Show data context
Textile Fabrics 0 Show data context 11 Show data context 10 Show data context 12 Show data context 5 Show data context 14 Show data context 24 Show data context 74 Show data context 56 Show data context 1 Show data context 2 Show data context
Dress 0 Show data context 4 Show data context 10 Show data context 6 Show data context 10 Show data context 13 Show data context 30 Show data context 126 Show data context 91 Show data context 17 Show data context 19 Show data context
Food, Drink 0 Show data context 15 Show data context 27 Show data context 20 Show data context 27 Show data context 44 Show data context 76 Show data context 224 Show data context 136 Show data context 19 Show data context 15 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 10 Show data context 8 Show data context 1 Show data context 0 Show data context
Other and Undefined 0 Show data context 2 Show data context 1 Show data context 4 Show data context 2 Show data context 17 Show data context 39 Show data context 188 Show data context 141 Show data context 35 Show data context 25 Show data context
Unoccupied 1,055 Show data context 140 Show data context 46 Show data context 21 Show data context 5 Show data context 17 Show data context 39 Show data context 45 Show data context 102 Show data context 65 Show data context 336 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 1 Show data context 4 Show data context 8 Show data context 22 Show data context 8 Show data context 1 Show data context 1 Show data context
Defence
Professional Occupations 0 Show data context 0 Show data context 1 Show data context 0 Show data context 1 Show data context 2 Show data context 45 Show data context 108 Show data context 23 Show data context 2 Show data context 1 Show data context
Domestic Services 1 Show data context 16 Show data context 47 Show data context 54 Show data context 57 Show data context 135 Show data context 396 Show data context 468 Show data context 185 Show data context 22 Show data context 14 Show data context
Commercial Occupations 0 Show data context 0 Show data context 0 Show data context 0 Show data context 4 Show data context 3 Show data context 8 Show data context 2 Show data context 2 Show data context 1 Show data context 1 Show data context
Transport 0 Show data context 0 Show data context 3 Show data context 1 Show data context 0 Show data context 0 Show data context 1 Show data context 2 Show data context 1 Show data context 0 Show data context 0 Show data context
Agriculture 0 Show data context 31 Show data context 51 Show data context 75 Show data context 69 Show data context 131 Show data context 209 Show data context 301 Show data context 123 Show data context 12 Show data context 10 Show data context
Fishing 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 1 Show data context 0 Show data context 0 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 0 Show data context 4 Show data context 0 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 1 Show data context 0 Show data context 1 Show data context 0 Show data context 0 Show data context 1 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 2 Show data context 0 Show data context 0 Show data context 2 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 1 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 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 1 Show data context
Chemicals 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 0 Show data context 0 Show data context
Skins, Leather
Paper, Prints 0 Show data context 3 Show data context 6 Show data context 7 Show data context 4 Show data context 5 Show data context 16 Show data context 23 Show data context 8 Show data context 1 Show data context 2 Show data context
Textile Fabrics 0 Show data context 6 Show data context 15 Show data context 16 Show data context 18 Show data context 41 Show data context 66 Show data context 82 Show data context 19 Show data context 0 Show data context 1 Show data context
Dress 0 Show data context 9 Show data context 21 Show data context 11 Show data context 15 Show data context 21 Show data context 41 Show data context 105 Show data context 50 Show data context 9 Show data context 4 Show data context
Food, Drink 0 Show data context 3 Show data context 2 Show data context 4 Show data context 13 Show data context 11 Show data context 28 Show data context 48 Show data context 61 Show data context 12 Show data context 18 Show data context
Gas, Water
Other and Undefined 0 Show data context 0 Show data context 2 Show data context 2 Show data context 3 Show data context 4 Show data context 4 Show data context 10 Show data context 13 Show data context 1 Show data context 1 Show data context
Unoccupied 1,090 Show data context 192 Show data context 120 Show data context 97 Show data context 101 Show data context 159 Show data context 490 Show data context 3,371 Show data context 2,400 Show data context 433 Show data context 795 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, Berwickshire 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/10105420/cube/OCC_ORD1911_AGESEX_S

Date accessed: 19th October 2021