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 2 Show data context 7 Show data context 5 Show data context 6 Show data context 8 Show data context 12 Show data context 31 Show data context 138 Show data context 74 Show data context 6 Show data context 5 Show data context
Defence 0 Show data context 0 Show data context 0 Show data context 1 Show data context 0 Show data context 1 Show data context 1 Show data context 22 Show data context 5 Show data context 0 Show data context 0 Show data context
Professional Occupations 0 Show data context 2 Show data context 9 Show data context 7 Show data context 5 Show data context 25 Show data context 41 Show data context 219 Show data context 128 Show data context 16 Show data context 28 Show data context
Domestic Services 0 Show data context 2 Show data context 9 Show data context 9 Show data context 12 Show data context 21 Show data context 46 Show data context 165 Show data context 103 Show data context 7 Show data context 7 Show data context
Commercial Occupations 0 Show data context 1 Show data context 10 Show data context 13 Show data context 13 Show data context 35 Show data context 48 Show data context 125 Show data context 80 Show data context 6 Show data context 8 Show data context
Transport 2 Show data context 29 Show data context 30 Show data context 38 Show data context 19 Show data context 43 Show data context 166 Show data context 532 Show data context 289 Show data context 38 Show data context 15 Show data context
Agriculture 4 Show data context 153 Show data context 235 Show data context 288 Show data context 253 Show data context 423 Show data context 707 Show data context 1,738 Show data context 1,530 Show data context 284 Show data context 334 Show data context
Fishing 2 Show data context 19 Show data context 69 Show data context 101 Show data context 135 Show data context 230 Show data context 583 Show data context 1,649 Show data context 894 Show data context 116 Show data context 77 Show data context
Mines & Quarries 0 Show data context 0 Show data context 0 Show data context 1 Show data context 2 Show data context 3 Show data context 8 Show data context 46 Show data context 51 Show data context 11 Show data context 8 Show data context
Metals, Machines 0 Show data context 7 Show data context 6 Show data context 22 Show data context 31 Show data context 44 Show data context 117 Show data context 217 Show data context 132 Show data context 19 Show data context 16 Show data context
Jewelry, Instruments 0 Show data context 0 Show data context 1 Show data context 3 Show data context 2 Show data context 3 Show data context 9 Show data context 20 Show data context 12 Show data context 2 Show data context 5 Show data context
Building 0 Show data context 3 Show data context 26 Show data context 28 Show data context 40 Show data context 84 Show data context 147 Show data context 417 Show data context 290 Show data context 39 Show data context 49 Show data context
Wood, Furniture 0 Show data context 1 Show data context 9 Show data context 14 Show data context 9 Show data context 22 Show data context 52 Show data context 139 Show data context 80 Show data context 15 Show data context 14 Show data context
Brick, Cement 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 8 Show data context 6 Show data context 0 Show data context 1 Show data context
Chemicals 0 Show data context 0 Show data context 2 Show data context 12 Show data context 7 Show data context 9 Show data context 9 Show data context 32 Show data context 19 Show data context 5 Show data context 4 Show data context
Skins, Leather 0 Show data context 0 Show data context 1 Show data context 1 Show data context 1 Show data context 3 Show data context 7 Show data context 12 Show data context 9 Show data context 2 Show data context 0 Show data context
Paper, Prints 1 Show data context 0 Show data context 3 Show data context 3 Show data context 4 Show data context 5 Show data context 9 Show data context 24 Show data context 14 Show data context 3 Show data context 2 Show data context
Textile Fabrics 0 Show data context 27 Show data context 37 Show data context 35 Show data context 19 Show data context 30 Show data context 42 Show data context 117 Show data context 87 Show data context 10 Show data context 4 Show data context
Dress 0 Show data context 15 Show data context 14 Show data context 26 Show data context 28 Show data context 51 Show data context 73 Show data context 202 Show data context 167 Show data context 22 Show data context 27 Show data context
Food, Drink 0 Show data context 24 Show data context 37 Show data context 41 Show data context 50 Show data context 93 Show data context 159 Show data context 486 Show data context 288 Show data context 26 Show data context 16 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 11 Show data context 12 Show data context 4 Show data context 2 Show data context
Other & Undefined 0 Show data context 3 Show data context 13 Show data context 10 Show data context 15 Show data context 21 Show data context 56 Show data context 274 Show data context 241 Show data context 51 Show data context 49 Show data context
Unoccupied 2,961 Show data context 431 Show data context 157 Show data context 55 Show data context 32 Show data context 31 Show data context 75 Show data context 111 Show data context 186 Show data context 80 Show data context 534 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 2 Show data context 1 Show data context 2 Show data context 10 Show data context 21 Show data context 14 Show data context 1 Show data context 0 Show data context
Defence
Professional Occupations 0 Show data context 0 Show data context 3 Show data context 1 Show data context 7 Show data context 19 Show data context 113 Show data context 237 Show data context 49 Show data context 7 Show data context 3 Show data context
Domestic Services 2 Show data context 103 Show data context 202 Show data context 222 Show data context 204 Show data context 371 Show data context 548 Show data context 667 Show data context 296 Show data context 49 Show data context 25 Show data context
Commercial Occupations 0 Show data context 3 Show data context 6 Show data context 7 Show data context 7 Show data context 16 Show data context 32 Show data context 27 Show data context 6 Show data context 0 Show data context 2 Show data context
Transport 1 Show data context 2 Show data context 1 Show data context 0 Show data context 1 Show data context 0 Show data context 3 Show data context 8 Show data context 4 Show data context 1 Show data context 0 Show data context
Agriculture 0 Show data context 8 Show data context 24 Show data context 16 Show data context 25 Show data context 39 Show data context 69 Show data context 152 Show data context 203 Show data context 45 Show data context 79 Show data context
Fishing 0 Show data context 1 Show data context 0 Show data context 1 Show data context 4 Show data context 2 Show data context 8 Show data context 6 Show data context 4 Show data context 2 Show data context 4 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 0 Show data context 0 Show data context 1 Show data context
Metals, Machines 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 2 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 0 Show data context 1 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 1 Show data context 1 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 1 Show data context 3 Show data context 2 Show data context 0 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 2 Show data context 0 Show data context 0 Show data context 0 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 3 Show data context 0 Show data context 1 Show data context 4 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 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
Paper, Prints 0 Show data context 2 Show data context 1 Show data context 2 Show data context 2 Show data context 0 Show data context 5 Show data context 5 Show data context 4 Show data context 0 Show data context 0 Show data context
Textile Fabrics 0 Show data context 14 Show data context 16 Show data context 21 Show data context 12 Show data context 32 Show data context 59 Show data context 62 Show data context 44 Show data context 6 Show data context 5 Show data context
Dress 0 Show data context 9 Show data context 16 Show data context 26 Show data context 25 Show data context 61 Show data context 114 Show data context 199 Show data context 87 Show data context 17 Show data context 8 Show data context
Food, Drink 0 Show data context 17 Show data context 4 Show data context 39 Show data context 45 Show data context 100 Show data context 191 Show data context 180 Show data context 153 Show data context 37 Show data context 37 Show data context
Gas, Water
Other & Undefined 0 Show data context 1 Show data context 4 Show data context 8 Show data context 1 Show data context 9 Show data context 5 Show data context 25 Show data context 26 Show data context 7 Show data context 6 Show data context
Unoccupied 2,871 Show data context 532 Show data context 393 Show data context 289 Show data context 268 Show data context 451 Show data context 1,172 Show data context 6,135 Show data context 4,331 Show data context 753 Show data context 1,585 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, Banffshire 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/10036033/cube/OCC_ORD1911_AGESEX_S

Date accessed: 02nd May 2024