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 33 Show data context 52 Show data context 28 Show data context 21 Show data context 50 Show data context 243 Show data context 722 Show data context 335 Show data context 17 Show data context 9 Show data context
Defence 0 Show data context 0 Show data context 0 Show data context 1 Show data context 6 Show data context 30 Show data context 35 Show data context 92 Show data context 17 Show data context 0 Show data context 1 Show data context
Professional Occupations 0 Show data context 18 Show data context 41 Show data context 33 Show data context 56 Show data context 91 Show data context 272 Show data context 1,320 Show data context 700 Show data context 82 Show data context 50 Show data context
Domestic Services 0 Show data context 9 Show data context 18 Show data context 24 Show data context 25 Show data context 72 Show data context 216 Show data context 851 Show data context 391 Show data context 44 Show data context 31 Show data context
Commercial Occupations 0 Show data context 73 Show data context 203 Show data context 244 Show data context 267 Show data context 484 Show data context 952 Show data context 2,892 Show data context 1,265 Show data context 94 Show data context 66 Show data context
Transport 40 Show data context 662 Show data context 550 Show data context 292 Show data context 230 Show data context 417 Show data context 1,272 Show data context 4,661 Show data context 2,163 Show data context 181 Show data context 117 Show data context
Agriculture 3 Show data context 28 Show data context 48 Show data context 86 Show data context 75 Show data context 189 Show data context 430 Show data context 1,284 Show data context 881 Show data context 112 Show data context 133 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 1 Show data context 15 Show data context 3 Show data context 2 Show data context 0 Show data context
Mines & Quarries 1 Show data context 19 Show data context 28 Show data context 42 Show data context 45 Show data context 101 Show data context 240 Show data context 851 Show data context 475 Show data context 38 Show data context 17 Show data context
Metals, Machines 5 Show data context 330 Show data context 727 Show data context 1,050 Show data context 1,098 Show data context 2,535 Show data context 5,853 Show data context 15,646 Show data context 6,650 Show data context 587 Show data context 310 Show data context
Jewelry, Instruments 0 Show data context 3 Show data context 7 Show data context 7 Show data context 6 Show data context 20 Show data context 42 Show data context 134 Show data context 71 Show data context 8 Show data context 6 Show data context
Building 1 Show data context 34 Show data context 90 Show data context 153 Show data context 154 Show data context 340 Show data context 911 Show data context 3,286 Show data context 1,799 Show data context 167 Show data context 128 Show data context
Wood, Furniture 3 Show data context 73 Show data context 96 Show data context 81 Show data context 82 Show data context 122 Show data context 265 Show data context 930 Show data context 567 Show data context 61 Show data context 30 Show data context
Brick, Cement 0 Show data context 12 Show data context 27 Show data context 23 Show data context 30 Show data context 46 Show data context 102 Show data context 363 Show data context 142 Show data context 10 Show data context 6 Show data context
Chemicals 1 Show data context 19 Show data context 17 Show data context 23 Show data context 25 Show data context 54 Show data context 149 Show data context 549 Show data context 248 Show data context 19 Show data context 7 Show data context
Skins, Leather 2 Show data context 8 Show data context 16 Show data context 13 Show data context 16 Show data context 25 Show data context 50 Show data context 228 Show data context 144 Show data context 11 Show data context 5 Show data context
Paper, Prints 2 Show data context 26 Show data context 41 Show data context 31 Show data context 29 Show data context 75 Show data context 169 Show data context 493 Show data context 277 Show data context 20 Show data context 16 Show data context
Textile Fabrics 18 Show data context 219 Show data context 301 Show data context 295 Show data context 290 Show data context 537 Show data context 978 Show data context 3,009 Show data context 2,087 Show data context 238 Show data context 158 Show data context
Dress 10 Show data context 31 Show data context 50 Show data context 52 Show data context 49 Show data context 69 Show data context 224 Show data context 858 Show data context 560 Show data context 61 Show data context 53 Show data context
Food, Drink 1 Show data context 81 Show data context 157 Show data context 197 Show data context 231 Show data context 452 Show data context 921 Show data context 2,803 Show data context 1,459 Show data context 144 Show data context 81 Show data context
Gas, Water 0 Show data context 1 Show data context 2 Show data context 2 Show data context 3 Show data context 16 Show data context 35 Show data context 398 Show data context 268 Show data context 24 Show data context 13 Show data context
Other & Undefined 1 Show data context 28 Show data context 60 Show data context 56 Show data context 61 Show data context 158 Show data context 400 Show data context 1,547 Show data context 1,028 Show data context 94 Show data context 111 Show data context
Unoccupied 12,953 Show data context 1,460 Show data context 501 Show data context 240 Show data context 130 Show data context 234 Show data context 335 Show data context 571 Show data context 828 Show data context 624 Show data context 1,609 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 4 Show data context 7 Show data context 11 Show data context 19 Show data context 53 Show data context 135 Show data context 18 Show data context 4 Show data context 1 Show data context
Defence
Professional Occupations 0 Show data context 1 Show data context 6 Show data context 8 Show data context 6 Show data context 27 Show data context 450 Show data context 1,321 Show data context 307 Show data context 22 Show data context 16 Show data context
Domestic Services 8 Show data context 147 Show data context 283 Show data context 381 Show data context 437 Show data context 1,057 Show data context 2,334 Show data context 3,285 Show data context 1,006 Show data context 120 Show data context 84 Show data context
Commercial Occupations 0 Show data context 40 Show data context 81 Show data context 142 Show data context 163 Show data context 343 Show data context 741 Show data context 668 Show data context 25 Show data context 2 Show data context 2 Show data context
Transport 6 Show data context 196 Show data context 169 Show data context 76 Show data context 44 Show data context 31 Show data context 57 Show data context 51 Show data context 21 Show data context 1 Show data context 4 Show data context
Agriculture 0 Show data context 14 Show data context 27 Show data context 39 Show data context 59 Show data context 110 Show data context 226 Show data context 260 Show data context 164 Show data context 19 Show data context 24 Show data context
Fishing
Mines & Quarries 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 2 Show data context 1 Show data context 1 Show data context
Metals, Machines 0 Show data context 8 Show data context 18 Show data context 44 Show data context 36 Show data context 74 Show data context 115 Show data context 109 Show data context 32 Show data context 0 Show data context 1 Show data context
Jewelry, Instruments 0 Show data context 3 Show data context 1 Show data context 1 Show data context 3 Show data context 3 Show data context 9 Show data context 14 Show data context 0 Show data context 0 Show data context 1 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 0 Show data context 1 Show data context 0 Show data context 1 Show data context
Wood, Furniture 3 Show data context 13 Show data context 31 Show data context 42 Show data context 45 Show data context 65 Show data context 118 Show data context 124 Show data context 22 Show data context 1 Show data context 1 Show data context
Brick, Cement 0 Show data context 3 Show data context 4 Show data context 10 Show data context 9 Show data context 9 Show data context 31 Show data context 53 Show data context 6 Show data context 1 Show data context 0 Show data context
Chemicals 2 Show data context 18 Show data context 26 Show data context 23 Show data context 31 Show data context 76 Show data context 109 Show data context 107 Show data context 22 Show data context 2 Show data context 2 Show data context
Skins, Leather 0 Show data context 2 Show data context 0 Show data context 8 Show data context 7 Show data context 15 Show data context 21 Show data context 21 Show data context 15 Show data context 0 Show data context 0 Show data context
Paper, Prints 6 Show data context 52 Show data context 63 Show data context 75 Show data context 82 Show data context 127 Show data context 200 Show data context 242 Show data context 75 Show data context 7 Show data context 6 Show data context
Textile Fabrics 52 Show data context 751 Show data context 1,160 Show data context 1,210 Show data context 1,314 Show data context 2,427 Show data context 4,314 Show data context 4,613 Show data context 1,242 Show data context 77 Show data context 64 Show data context
Dress 0 Show data context 64 Show data context 132 Show data context 179 Show data context 166 Show data context 373 Show data context 773 Show data context 1,307 Show data context 403 Show data context 41 Show data context 32 Show data context
Food, Drink 3 Show data context 55 Show data context 108 Show data context 138 Show data context 135 Show data context 305 Show data context 647 Show data context 948 Show data context 453 Show data context 54 Show data context 49 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 0 Show data context 0 Show data context 2 Show data context 0 Show data context 0 Show data context
Other & Undefined 0 Show data context 29 Show data context 43 Show data context 49 Show data context 43 Show data context 69 Show data context 174 Show data context 240 Show data context 103 Show data context 13 Show data context 23 Show data context
Unoccupied 12,949 Show data context 1,770 Show data context 921 Show data context 734 Show data context 672 Show data context 1,279 Show data context 5,166 Show data context 34,681 Show data context 20,147 Show data context 2,809 Show data context 4,651 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


Housing density grouped into under 2 persons per room, 2 to 3, and over 3. This set of categories enables us to map housing density for the whole of Britain in 1931 and 1951, when the least dense category used by the Scottish census was "under 2".


How to reference this page:

GB Historical GIS / University of Portsmouth, Renfrewshire 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/10087971/cube/OCC_ORD1911_AGESEX_S

Date accessed: 05th November 2024