Persons Aged over 10 by Sex, Age and 1911 Occupational Order

No chart.

No chart.

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 12 Show data context 18 Show data context 16 Show data context 16 Show data context 34 Show data context 82 Show data context 372 Show data context 223 Show data context 19 Show data context 20 Show data context
Defence 0 Show data context 0 Show data context 0 Show data context 0 Show data context 3 Show data context 2 Show data context 8 Show data context 59 Show data context 14 Show data context 4 Show data context 1 Show data context
Professional Occupations 0 Show data context 7 Show data context 22 Show data context 10 Show data context 17 Show data context 28 Show data context 63 Show data context 422 Show data context 391 Show data context 41 Show data context 36 Show data context
Domestic Services 0 Show data context 11 Show data context 15 Show data context 34 Show data context 30 Show data context 71 Show data context 146 Show data context 606 Show data context 348 Show data context 47 Show data context 38 Show data context
Commercial Occupations 0 Show data context 7 Show data context 23 Show data context 45 Show data context 49 Show data context 94 Show data context 138 Show data context 405 Show data context 225 Show data context 23 Show data context 11 Show data context
Transport 6 Show data context 100 Show data context 104 Show data context 64 Show data context 49 Show data context 131 Show data context 326 Show data context 1,367 Show data context 702 Show data context 89 Show data context 53 Show data context
Agriculture 17 Show data context 638 Show data context 892 Show data context 958 Show data context 876 Show data context 1,602 Show data context 2,569 Show data context 6,909 Show data context 5,399 Show data context 914 Show data context 1,042 Show data context
Fishing 0 Show data context 12 Show data context 24 Show data context 46 Show data context 46 Show data context 67 Show data context 195 Show data context 938 Show data context 585 Show data context 72 Show data context 55 Show data context
Mines and Quarries 1 Show data context 7 Show data context 9 Show data context 19 Show data context 19 Show data context 29 Show data context 99 Show data context 388 Show data context 281 Show data context 29 Show data context 23 Show data context
Metals, Machines 0 Show data context 23 Show data context 43 Show data context 67 Show data context 101 Show data context 199 Show data context 364 Show data context 852 Show data context 427 Show data context 64 Show data context 47 Show data context
Jewelry, Instruments 0 Show data context 2 Show data context 9 Show data context 9 Show data context 10 Show data context 22 Show data context 20 Show data context 50 Show data context 41 Show data context 4 Show data context 2 Show data context
Building 0 Show data context 12 Show data context 34 Show data context 60 Show data context 66 Show data context 144 Show data context 353 Show data context 1,196 Show data context 840 Show data context 134 Show data context 93 Show data context
Wood, Furniture 0 Show data context 37 Show data context 51 Show data context 68 Show data context 68 Show data context 173 Show data context 310 Show data context 733 Show data context 364 Show data context 21 Show data context 31 Show data context
Brick, Cement 0 Show data context 0 Show data context 1 Show data context 1 Show data context 1 Show data context 1 Show data context 16 Show data context 22 Show data context 17 Show data context 2 Show data context 3 Show data context
Chemicals 0 Show data context 0 Show data context 8 Show data context 14 Show data context 15 Show data context 19 Show data context 26 Show data context 75 Show data context 41 Show data context 3 Show data context 6 Show data context
Skins, Leather 0 Show data context 1 Show data context 2 Show data context 6 Show data context 2 Show data context 7 Show data context 9 Show data context 33 Show data context 32 Show data context 4 Show data context 3 Show data context
Paper, Prints 1 Show data context 46 Show data context 40 Show data context 37 Show data context 37 Show data context 69 Show data context 95 Show data context 345 Show data context 205 Show data context 21 Show data context 13 Show data context
Textile Fabrics 0 Show data context 18 Show data context 27 Show data context 29 Show data context 24 Show data context 38 Show data context 36 Show data context 173 Show data context 106 Show data context 14 Show data context 18 Show data context
Dress 1 Show data context 25 Show data context 46 Show data context 72 Show data context 60 Show data context 97 Show data context 190 Show data context 538 Show data context 399 Show data context 67 Show data context 63 Show data context
Food, Drink 0 Show data context 58 Show data context 85 Show data context 115 Show data context 123 Show data context 242 Show data context 300 Show data context 975 Show data context 585 Show data context 73 Show data context 52 Show data context
Gas, Water 0 Show data context 0 Show data context 0 Show data context 0 Show data context 1 Show data context 0 Show data context 4 Show data context 47 Show data context 43 Show data context 5 Show data context 6 Show data context
Other and Undefined 0 Show data context 16 Show data context 25 Show data context 44 Show data context 34 Show data context 66 Show data context 190 Show data context 954 Show data context 727 Show data context 144 Show data context 127 Show data context
Unoccupied 7,260 Show data context 810 Show data context 284 Show data context 141 Show data context 71 Show data context 150 Show data context 167 Show data context 340 Show data context 519 Show data context 252 Show data context 1,491 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 0 Show data context 3 Show data context 5 Show data context 21 Show data context 37 Show data context 76 Show data context 32 Show data context 3 Show data context 2 Show data context
Defence
Professional Occupations 1 Show data context 5 Show data context 5 Show data context 2 Show data context 4 Show data context 16 Show data context 258 Show data context 564 Show data context 158 Show data context 17 Show data context 23 Show data context
Domestic Services 11 Show data context 361 Show data context 579 Show data context 603 Show data context 595 Show data context 1,056 Show data context 1,794 Show data context 2,186 Show data context 1,011 Show data context 150 Show data context 141 Show data context
Commercial Occupations 0 Show data context 4 Show data context 12 Show data context 18 Show data context 23 Show data context 64 Show data context 126 Show data context 99 Show data context 6 Show data context 1 Show data context 1 Show data context
Transport 1 Show data context 11 Show data context 15 Show data context 2 Show data context 4 Show data context 5 Show data context 7 Show data context 14 Show data context 6 Show data context 1 Show data context 2 Show data context
Agriculture 2 Show data context 40 Show data context 71 Show data context 71 Show data context 50 Show data context 144 Show data context 224 Show data context 507 Show data context 527 Show data context 138 Show data context 198 Show data context
Fishing 0 Show data context 0 Show data context 2 Show data context 2 Show data context 7 Show data context 4 Show data context 12 Show data context 5 Show data context 6 Show data context 0 Show data context 2 Show data context
Mines and 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 1 Show data context 0 Show data context 0 Show data context
Metals, Machines 0 Show data context 0 Show data context 2 Show data context 0 Show data context 0 Show data context 4 Show data context 4 Show data context 4 Show data context 3 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 0 Show data context 1 Show data context 0 Show data context 1 Show data context 4 Show data context 0 Show data context 0 Show data context 0 Show data context
Building
Wood, Furniture 0 Show data context 0 Show data context 0 Show data context 0 Show data context 0 Show data context 3 Show data context 4 Show data context 4 Show data context 2 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 1 Show data context 0 Show data context 1 Show data context 4 Show data context 2 Show data context 0 Show data context 0 Show data context
Chemicals 0 Show data context 0 Show data context 1 Show data context 5 Show data context 0 Show data context 5 Show data context 2 Show data context 3 Show data context 3 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 1 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
Paper, Prints 6 Show data context 46 Show data context 46 Show data context 49 Show data context 58 Show data context 86 Show data context 160 Show data context 173 Show data context 55 Show data context 4 Show data context 1 Show data context
Textile Fabrics 0 Show data context 15 Show data context 45 Show data context 47 Show data context 38 Show data context 84 Show data context 96 Show data context 145 Show data context 103 Show data context 37 Show data context 56 Show data context
Dress 0 Show data context 29 Show data context 62 Show data context 75 Show data context 78 Show data context 123 Show data context 276 Show data context 465 Show data context 253 Show data context 36 Show data context 30 Show data context
Food, Drink 0 Show data context 17 Show data context 39 Show data context 68 Show data context 75 Show data context 157 Show data context 267 Show data context 370 Show data context 266 Show data context 48 Show data context 40 Show data context
Gas, Water
Other and Undefined 0 Show data context 3 Show data context 6 Show data context 4 Show data context 9 Show data context 14 Show data context 29 Show data context 72 Show data context 70 Show data context 15 Show data context 19 Show data context
Unoccupied 7,337 Show data context 1,216 Show data context 828 Show data context 687 Show data context 566 Show data context 980 Show data context 3,012 Show data context 15,864 Show data context 10,748 Show data context 1,864 Show data context 3,918 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'

This website exists to help people doing personal research projects on particular areas within a locality. So long as you are using our data for only a small number of units, you are not making money out of what you are doing, and you are not systematically re-publishing our data, you do not need to request permission from us, but you do need to acknowledge us as your source with the wording:

"This work is based on data provided through www.VisionofBritain.org.uk and uses historical material which is copyright of the Great Britain Historical GIS Project and the University of Portsmouth".

Where the above statement is included in a web page or similar online resource, the reference to "www.VisionofBritain.org.uk" must be a working hyperlink.

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, Aberdeenshire 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/10036021/cube/OCC_ORD1911_AGESEX_S

Date accessed: 14th August 2022