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 2 Show data context 9 Show data context 3 Show data context 8 Show data context 6 Show data context 30 Show data context 112 Show data context 49 Show data context 2 Show data context 4 Show data context
Defence 0 Show data context 0 Show data context 0 Show data context 0 Show data context 22 Show data context 73 Show data context 56 Show data context 77 Show data context 10 Show data context 1 Show data context 1 Show data context
Professional Occupations 0 Show data context 4 Show data context 10 Show data context 8 Show data context 10 Show data context 13 Show data context 52 Show data context 233 Show data context 114 Show data context 5 Show data context 11 Show data context
Domestic Services 0 Show data context 1 Show data context 5 Show data context 6 Show data context 7 Show data context 14 Show data context 20 Show data context 103 Show data context 76 Show data context 7 Show data context 9 Show data context
Commercial Occupations 0 Show data context 3 Show data context 15 Show data context 10 Show data context 19 Show data context 26 Show data context 71 Show data context 251 Show data context 141 Show data context 6 Show data context 7 Show data context
Transport 5 Show data context 77 Show data context 103 Show data context 59 Show data context 41 Show data context 73 Show data context 231 Show data context 739 Show data context 363 Show data context 32 Show data context 19 Show data context
Agriculture 0 Show data context 1 Show data context 1 Show data context 9 Show data context 4 Show data context 7 Show data context 12 Show data context 68 Show data context 59 Show data context 19 Show data context 7 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 2 Show data context 7 Show data context 9 Show data context 3 Show data context 1 Show data context
Mines & Quarries 0 Show data context 5 Show data context 13 Show data context 8 Show data context 7 Show data context 34 Show data context 85 Show data context 154 Show data context 59 Show data context 5 Show data context 4 Show data context
Metals, Machines 0 Show data context 10 Show data context 27 Show data context 29 Show data context 38 Show data context 81 Show data context 162 Show data context 366 Show data context 187 Show data context 16 Show data context 10 Show data context
Jewelry, Instruments 0 Show data context 1 Show data context 0 Show data context 0 Show data context 3 Show data context 3 Show data context 12 Show data context 23 Show data context 13 Show data context 3 Show data context 0 Show data context
Building 0 Show data context 5 Show data context 18 Show data context 36 Show data context 29 Show data context 59 Show data context 189 Show data context 567 Show data context 322 Show data context 25 Show data context 13 Show data context
Wood, Furniture 0 Show data context 3 Show data context 6 Show data context 9 Show data context 7 Show data context 13 Show data context 23 Show data context 118 Show data context 62 Show data context 6 Show data context 12 Show data context
Brick, Cement 0 Show data context 0 Show data context 0 Show data context 0 Show data context 1 Show data context 1 Show data context 3 Show data context 5 Show data context 3 Show data context 2 Show data context 1 Show data context
Chemicals 0 Show data context 1 Show data context 3 Show data context 0 Show data context 3 Show data context 7 Show data context 16 Show data context 57 Show data context 35 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 1 Show data context 8 Show data context 29 Show data context 14 Show data context 4 Show data context 3 Show data context
Paper, Prints 0 Show data context 3 Show data context 1 Show data context 2 Show data context 3 Show data context 9 Show data context 12 Show data context 46 Show data context 30 Show data context 1 Show data context 1 Show data context
Textile Fabrics 1 Show data context 3 Show data context 19 Show data context 11 Show data context 23 Show data context 25 Show data context 44 Show data context 135 Show data context 90 Show data context 10 Show data context 2 Show data context
Dress 1 Show data context 5 Show data context 14 Show data context 18 Show data context 15 Show data context 17 Show data context 53 Show data context 276 Show data context 136 Show data context 14 Show data context 7 Show data context
Food, Drink 1 Show data context 10 Show data context 22 Show data context 35 Show data context 41 Show data context 73 Show data context 149 Show data context 382 Show data context 196 Show data context 22 Show data context 12 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 1 Show data context 2 Show data context 42 Show data context 25 Show data context 1 Show data context 2 Show data context
Other & Undefined 0 Show data context 2 Show data context 5 Show data context 9 Show data context 11 Show data context 31 Show data context 56 Show data context 274 Show data context 169 Show data context 21 Show data context 22 Show data context
Unoccupied 1,363 Show data context 173 Show data context 89 Show data context 33 Show data context 15 Show data context 20 Show data context 39 Show data context 56 Show data context 167 Show data context 80 Show data context 209 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 1 Show data context 0 Show data context 0 Show data context 0 Show data context 1 Show data context 4 Show data context 16 Show data context 2 Show data context 1 Show data context 0 Show data context
Defence
Professional Occupations 0 Show data context 0 Show data context 2 Show data context 2 Show data context 4 Show data context 6 Show data context 49 Show data context 174 Show data context 49 Show data context 3 Show data context 1 Show data context
Domestic Services 2 Show data context 31 Show data context 37 Show data context 67 Show data context 77 Show data context 179 Show data context 402 Show data context 501 Show data context 161 Show data context 24 Show data context 14 Show data context
Commercial Occupations 0 Show data context 3 Show data context 12 Show data context 19 Show data context 18 Show data context 36 Show data context 75 Show data context 69 Show data context 4 Show data context 0 Show data context 0 Show data context
Transport 2 Show data context 40 Show data context 24 Show data context 5 Show data context 3 Show data context 6 Show data context 5 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 0 Show data context 1 Show data context 0 Show data context 6 Show data context 2 Show data context 11 Show data context 8 Show data context 1 Show data context 3 Show data context
Fishing
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 1 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 1 Show data context 0 Show data context 2 Show data context 2 Show data context 6 Show data context 3 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 1 Show data context 0 Show data context 1 Show data context 6 Show data context 4 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 1 Show data context 2 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 2 Show data context 1 Show data context 1 Show data context 4 Show data context 8 Show data context 10 Show data context 17 Show data context 4 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 6 Show data context 3 Show data context 0 Show data context 0 Show data context
Chemicals 0 Show data context 0 Show data context 1 Show data context 0 Show data context 1 Show data context 4 Show data context 9 Show data context 3 Show data context 1 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 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
Paper, Prints 0 Show data context 0 Show data context 1 Show data context 3 Show data context 3 Show data context 1 Show data context 6 Show data context 16 Show data context 3 Show data context 0 Show data context 0 Show data context
Textile Fabrics 0 Show data context 39 Show data context 75 Show data context 83 Show data context 97 Show data context 163 Show data context 253 Show data context 191 Show data context 25 Show data context 3 Show data context 3 Show data context
Dress 0 Show data context 15 Show data context 19 Show data context 34 Show data context 40 Show data context 71 Show data context 138 Show data context 234 Show data context 64 Show data context 8 Show data context 10 Show data context
Food, Drink 0 Show data context 8 Show data context 14 Show data context 6 Show data context 17 Show data context 31 Show data context 88 Show data context 128 Show data context 55 Show data context 9 Show data context 6 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 0 Show data context 0 Show data context 0 Show data context 0 Show data context
Other & Undefined 0 Show data context 8 Show data context 11 Show data context 16 Show data context 14 Show data context 30 Show data context 40 Show data context 72 Show data context 22 Show data context 6 Show data context 2 Show data context
Unoccupied 1,283 Show data context 231 Show data context 130 Show data context 104 Show data context 104 Show data context 201 Show data context 685 Show data context 3,568 Show data context 2,258 Show data context 345 Show data context 596 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, Ayr 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/10357913/cube/OCC_ORD1911_AGESEX_S

Date accessed: 23rd April 2024