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 8 Show data context 23 Show data context 8 Show data context 5 Show data context 12 Show data context 48 Show data context 189 Show data context 88 Show data context 10 Show data context 10 Show data context
Defence 1 Show data context 0 Show data context 0 Show data context 0 Show data context 0 Show data context 3 Show data context 2 Show data context 23 Show data context 2 Show data context 3 Show data context 5 Show data context
Professional Occupations 0 Show data context 6 Show data context 11 Show data context 22 Show data context 20 Show data context 27 Show data context 95 Show data context 345 Show data context 244 Show data context 14 Show data context 26 Show data context
Domestic Services 0 Show data context 7 Show data context 19 Show data context 23 Show data context 39 Show data context 67 Show data context 217 Show data context 537 Show data context 278 Show data context 40 Show data context 23 Show data context
Commercial Occupations 0 Show data context 7 Show data context 7 Show data context 16 Show data context 21 Show data context 36 Show data context 75 Show data context 224 Show data context 138 Show data context 8 Show data context 12 Show data context
Transport 3 Show data context 80 Show data context 64 Show data context 47 Show data context 61 Show data context 89 Show data context 260 Show data context 892 Show data context 557 Show data context 43 Show data context 38 Show data context
Agriculture 3 Show data context 110 Show data context 205 Show data context 236 Show data context 253 Show data context 447 Show data context 833 Show data context 2,268 Show data context 1,736 Show data context 232 Show data context 269 Show data context
Fishing 0 Show data context 3 Show data context 1 Show data context 3 Show data context 1 Show data context 2 Show data context 6 Show data context 66 Show data context 56 Show data context 8 Show data context 7 Show data context
Mines & Quarries 0 Show data context 21 Show data context 38 Show data context 34 Show data context 43 Show data context 77 Show data context 217 Show data context 755 Show data context 416 Show data context 24 Show data context 12 Show data context
Metals, Machines 2 Show data context 12 Show data context 27 Show data context 41 Show data context 38 Show data context 93 Show data context 145 Show data context 493 Show data context 239 Show data context 28 Show data context 27 Show data context
Jewelry, Instruments 0 Show data context 0 Show data context 3 Show data context 5 Show data context 3 Show data context 5 Show data context 10 Show data context 24 Show data context 29 Show data context 2 Show data context 1 Show data context
Building 0 Show data context 12 Show data context 25 Show data context 42 Show data context 39 Show data context 92 Show data context 221 Show data context 863 Show data context 589 Show data context 70 Show data context 64 Show data context
Wood, Furniture 0 Show data context 2 Show data context 4 Show data context 9 Show data context 0 Show data context 12 Show data context 32 Show data context 81 Show data context 70 Show data context 11 Show data context 4 Show data context
Brick, Cement 0 Show data context 1 Show data context 4 Show data context 3 Show data context 2 Show data context 3 Show data context 1 Show data context 38 Show data context 15 Show data context 5 Show data context 2 Show data context
Chemicals 0 Show data context 2 Show data context 6 Show data context 8 Show data context 2 Show data context 9 Show data context 9 Show data context 29 Show data context 14 Show data context 3 Show data context 2 Show data context
Skins, Leather 0 Show data context 0 Show data context 1 Show data context 5 Show data context 2 Show data context 7 Show data context 6 Show data context 53 Show data context 28 Show data context 6 Show data context 4 Show data context
Paper, Prints 0 Show data context 5 Show data context 11 Show data context 9 Show data context 9 Show data context 14 Show data context 35 Show data context 58 Show data context 32 Show data context 2 Show data context 6 Show data context
Textile Fabrics 2 Show data context 39 Show data context 46 Show data context 53 Show data context 35 Show data context 59 Show data context 126 Show data context 335 Show data context 206 Show data context 30 Show data context 26 Show data context
Dress 0 Show data context 16 Show data context 13 Show data context 19 Show data context 22 Show data context 47 Show data context 89 Show data context 313 Show data context 230 Show data context 17 Show data context 23 Show data context
Food, Drink 1 Show data context 34 Show data context 39 Show data context 54 Show data context 53 Show data context 87 Show data context 168 Show data context 566 Show data context 295 Show data context 41 Show data context 38 Show data context
Gas, Water 0 Show data context 0 Show data context 0 Show data context 2 Show data context 1 Show data context 1 Show data context 8 Show data context 52 Show data context 43 Show data context 3 Show data context 5 Show data context
Other & Undefined 0 Show data context 5 Show data context 10 Show data context 25 Show data context 21 Show data context 46 Show data context 153 Show data context 566 Show data context 406 Show data context 66 Show data context 66 Show data context
Unoccupied 3,102 Show data context 462 Show data context 178 Show data context 96 Show data context 44 Show data context 59 Show data context 87 Show data context 287 Show data context 437 Show data context 208 Show data context 623 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 2 Show data context 1 Show data context 0 Show data context 1 Show data context 7 Show data context 19 Show data context 33 Show data context 24 Show data context 9 Show data context 2 Show data context
Defence
Professional Occupations 0 Show data context 3 Show data context 0 Show data context 3 Show data context 1 Show data context 11 Show data context 141 Show data context 298 Show data context 73 Show data context 2 Show data context 2 Show data context
Domestic Services 2 Show data context 66 Show data context 159 Show data context 202 Show data context 213 Show data context 466 Show data context 807 Show data context 1,198 Show data context 463 Show data context 47 Show data context 41 Show data context
Commercial Occupations 0 Show data context 5 Show data context 8 Show data context 19 Show data context 11 Show data context 35 Show data context 79 Show data context 54 Show data context 7 Show data context 1 Show data context 0 Show data context
Transport 0 Show data context 6 Show data context 6 Show data context 4 Show data context 2 Show data context 3 Show data context 1 Show data context 8 Show data context 6 Show data context 0 Show data context 1 Show data context
Agriculture 0 Show data context 4 Show data context 20 Show data context 25 Show data context 45 Show data context 67 Show data context 151 Show data context 279 Show data context 257 Show data context 51 Show data context 43 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 1 Show data context 0 Show data context 0 Show data context 0 Show data context
Mines & Quarries 0 Show data context 0 Show data context 1 Show data context 1 Show data context 2 Show data context 1 Show data context 0 Show data context 0 Show data context 1 Show data context 1 Show data context 0 Show data context
Metals, Machines 0 Show data context 1 Show data context 0 Show data context 3 Show data context 1 Show data context 2 Show data context 1 Show data context 2 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 0 Show data context 0 Show data context 1 Show data context 0 Show data context 3 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 1 Show data context 2 Show data context 1 Show data context 1 Show data context
Wood, Furniture 0 Show data context 0 Show data context 2 Show data context 1 Show data context 0 Show data context 2 Show data context 1 Show data context 2 Show data context 2 Show data context 2 Show data context 0 Show data context
Brick, Cement 0 Show data context 0 Show data context 1 Show data context 0 Show data context 1 Show data context 1 Show data context 1 Show data context 1 Show data context 3 Show data context 0 Show data context 1 Show data context
Chemicals 0 Show data context 0 Show data context 0 Show data context 1 Show data context 2 Show data context 1 Show data context 5 Show data context 1 Show data context 1 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 1 Show data context 0 Show data context 0 Show data context 0 Show data context
Paper, Prints 0 Show data context 5 Show data context 7 Show data context 6 Show data context 7 Show data context 9 Show data context 17 Show data context 12 Show data context 3 Show data context 0 Show data context 0 Show data context
Textile Fabrics 1 Show data context 33 Show data context 48 Show data context 60 Show data context 63 Show data context 109 Show data context 207 Show data context 366 Show data context 139 Show data context 18 Show data context 4 Show data context
Dress 1 Show data context 57 Show data context 92 Show data context 110 Show data context 113 Show data context 189 Show data context 373 Show data context 487 Show data context 176 Show data context 13 Show data context 18 Show data context
Food, Drink 0 Show data context 7 Show data context 12 Show data context 15 Show data context 15 Show data context 35 Show data context 76 Show data context 165 Show data context 164 Show data context 34 Show data context 36 Show data context
Gas, Water
Other & Undefined 0 Show data context 5 Show data context 5 Show data context 6 Show data context 6 Show data context 14 Show data context 23 Show data context 58 Show data context 31 Show data context 7 Show data context 6 Show data context
Unoccupied 2,826 Show data context 509 Show data context 324 Show data context 224 Show data context 210 Show data context 384 Show data context 1,238 Show data context 7,612 Show data context 5,736 Show data context 987 Show data context 1,739 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, Dumfries Shire 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/10078507/cube/OCC_ORD1911_AGESEX_S

Date accessed: 27th April 2024