Persons Aged over 10 by Sex, Age and 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 14 Show data context 19 Show data context 15 Show data context 9 Show data context 25 Show data context 107 Show data context 332 Show data context 130 Show data context 12 Show data context 9 Show data context
Defence 0 Show data context 0 Show data context 0 Show data context 2 Show data context 18 Show data context 48 Show data context 58 Show data context 133 Show data context 17 Show data context 2 Show data context 1 Show data context
Professional Occupations 0 Show data context 10 Show data context 17 Show data context 18 Show data context 22 Show data context 42 Show data context 148 Show data context 621 Show data context 338 Show data context 24 Show data context 26 Show data context
Domestic Services 0 Show data context 7 Show data context 15 Show data context 24 Show data context 19 Show data context 59 Show data context 155 Show data context 514 Show data context 264 Show data context 39 Show data context 20 Show data context
Commercial Occupations 2 Show data context 36 Show data context 63 Show data context 86 Show data context 95 Show data context 163 Show data context 349 Show data context 944 Show data context 385 Show data context 32 Show data context 21 Show data context
Transport 4 Show data context 139 Show data context 127 Show data context 121 Show data context 129 Show data context 276 Show data context 725 Show data context 2,532 Show data context 1,449 Show data context 117 Show data context 42 Show data context
Agriculture 1 Show data context 35 Show data context 86 Show data context 102 Show data context 113 Show data context 196 Show data context 386 Show data context 1,270 Show data context 905 Show data context 151 Show data context 129 Show data context
Fishing 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 9 Show data context 8 Show data context 2 Show data context 0 Show data context
Mines and Quarries 23 Show data context 272 Show data context 416 Show data context 515 Show data context 448 Show data context 882 Show data context 1,939 Show data context 5,701 Show data context 1,994 Show data context 126 Show data context 53 Show data context
Metals, Machines 5 Show data context 254 Show data context 370 Show data context 361 Show data context 374 Show data context 694 Show data context 1,576 Show data context 5,295 Show data context 2,370 Show data context 193 Show data context 98 Show data context
Jewelry, Instruments 0 Show data context 0 Show data context 3 Show data context 3 Show data context 7 Show data context 3 Show data context 19 Show data context 49 Show data context 26 Show data context 1 Show data context 3 Show data context
Building 1 Show data context 34 Show data context 55 Show data context 67 Show data context 72 Show data context 157 Show data context 364 Show data context 1,334 Show data context 780 Show data context 84 Show data context 60 Show data context
Wood, Furniture 0 Show data context 26 Show data context 36 Show data context 41 Show data context 50 Show data context 56 Show data context 95 Show data context 384 Show data context 220 Show data context 20 Show data context 11 Show data context
Brick, Cement 0 Show data context 9 Show data context 17 Show data context 15 Show data context 14 Show data context 28 Show data context 69 Show data context 253 Show data context 113 Show data context 9 Show data context 3 Show data context
Chemicals 0 Show data context 9 Show data context 13 Show data context 17 Show data context 21 Show data context 28 Show data context 67 Show data context 337 Show data context 169 Show data context 17 Show data context 19 Show data context
Skins, Leather 0 Show data context 5 Show data context 3 Show data context 1 Show data context 3 Show data context 4 Show data context 6 Show data context 43 Show data context 53 Show data context 3 Show data context 5 Show data context
Paper, Prints 0 Show data context 8 Show data context 22 Show data context 19 Show data context 22 Show data context 46 Show data context 76 Show data context 233 Show data context 125 Show data context 12 Show data context 7 Show data context
Textile Fabrics 2 Show data context 23 Show data context 38 Show data context 50 Show data context 22 Show data context 63 Show data context 102 Show data context 389 Show data context 254 Show data context 24 Show data context 24 Show data context
Dress 0 Show data context 9 Show data context 20 Show data context 21 Show data context 30 Show data context 47 Show data context 107 Show data context 439 Show data context 276 Show data context 31 Show data context 22 Show data context
Food, Drink 2 Show data context 59 Show data context 92 Show data context 110 Show data context 115 Show data context 198 Show data context 382 Show data context 1,207 Show data context 555 Show data context 50 Show data context 37 Show data context
Gas, Water 0 Show data context 0 Show data context 1 Show data context 0 Show data context 4 Show data context 15 Show data context 35 Show data context 206 Show data context 99 Show data context 7 Show data context 5 Show data context
Other and Undefined 0 Show data context 11 Show data context 15 Show data context 18 Show data context 27 Show data context 65 Show data context 157 Show data context 851 Show data context 602 Show data context 69 Show data context 51 Show data context
Unoccupied 7,210 Show data context 700 Show data context 209 Show data context 138 Show data context 69 Show data context 116 Show data context 138 Show data context 358 Show data context 594 Show data context 372 Show data context 1,014 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 5 Show data context 2 Show data context 6 Show data context 14 Show data context 26 Show data context 71 Show data context 20 Show data context 0 Show data context 2 Show data context
Defence
Professional Occupations 0 Show data context 0 Show data context 2 Show data context 4 Show data context 4 Show data context 24 Show data context 279 Show data context 570 Show data context 154 Show data context 13 Show data context 4 Show data context
Domestic Services 4 Show data context 103 Show data context 229 Show data context 310 Show data context 295 Show data context 631 Show data context 994 Show data context 1,496 Show data context 484 Show data context 37 Show data context 27 Show data context
Commercial Occupations 0 Show data context 10 Show data context 21 Show data context 36 Show data context 57 Show data context 95 Show data context 249 Show data context 157 Show data context 14 Show data context 2 Show data context 1 Show data context
Transport 2 Show data context 43 Show data context 43 Show data context 10 Show data context 1 Show data context 8 Show data context 13 Show data context 21 Show data context 8 Show data context 3 Show data context 4 Show data context
Agriculture 2 Show data context 22 Show data context 36 Show data context 44 Show data context 58 Show data context 97 Show data context 175 Show data context 224 Show data context 112 Show data context 26 Show data context 20 Show data context
Fishing
Mines and Quarries 2 Show data context 6 Show data context 21 Show data context 19 Show data context 18 Show data context 53 Show data context 41 Show data context 20 Show data context 4 Show data context 0 Show data context 0 Show data context
Metals, Machines 0 Show data context 3 Show data context 24 Show data context 36 Show data context 39 Show data context 57 Show data context 62 Show data context 34 Show data context 4 Show data context 0 Show data context 2 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 0 Show data context 3 Show data context 6 Show data context 2 Show data context 0 Show data context 0 Show data context
Building 0 Show data context 0 Show data context 2 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 1 Show data context 0 Show data context
Wood, Furniture 0 Show data context 7 Show data context 6 Show data context 11 Show data context 8 Show data context 25 Show data context 30 Show data context 17 Show data context 5 Show data context 0 Show data context 0 Show data context
Brick, Cement 0 Show data context 2 Show data context 10 Show data context 21 Show data context 24 Show data context 53 Show data context 57 Show data context 17 Show data context 6 Show data context 1 Show data context 3 Show data context
Chemicals 0 Show data context 8 Show data context 23 Show data context 42 Show data context 31 Show data context 73 Show data context 85 Show data context 34 Show data context 6 Show data context 1 Show data context 0 Show data context
Skins, Leather 0 Show data context 2 Show data context 1 Show data context 2 Show data context 0 Show data context 5 Show data context 5 Show data context 2 Show data context 2 Show data context 0 Show data context 0 Show data context
Paper, Prints 0 Show data context 14 Show data context 36 Show data context 32 Show data context 37 Show data context 51 Show data context 90 Show data context 76 Show data context 30 Show data context 0 Show data context 1 Show data context
Textile Fabrics 0 Show data context 64 Show data context 96 Show data context 124 Show data context 94 Show data context 202 Show data context 285 Show data context 180 Show data context 59 Show data context 5 Show data context 12 Show data context
Dress 2 Show data context 64 Show data context 110 Show data context 140 Show data context 121 Show data context 221 Show data context 440 Show data context 630 Show data context 132 Show data context 13 Show data context 13 Show data context
Food, Drink 0 Show data context 23 Show data context 56 Show data context 62 Show data context 71 Show data context 105 Show data context 212 Show data context 311 Show data context 236 Show data context 32 Show data context 26 Show data context
Gas, Water
Other and Undefined 0 Show data context 9 Show data context 35 Show data context 24 Show data context 25 Show data context 64 Show data context 85 Show data context 82 Show data context 61 Show data context 14 Show data context 9 Show data context
Unoccupied 7,015 Show data context 1,212 Show data context 818 Show data context 613 Show data context 537 Show data context 1,049 Show data context 3,331 Show data context 17,596 Show data context 9,873 Show data context 1,469 Show data context 2,214 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, Stirlingshire 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/10190680/cube/OCC_ORD1911_AGESEX_S

Date accessed: 23rd May 2022