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 1 Show data context 15 Show data context 18 Show data context 11 Show data context 9 Show data context 27 Show data context 73 Show data context 224 Show data context 115 Show data context 8 Show data context 5 Show data context
Defence 0 Show data context 0 Show data context 0 Show data context 0 Show data context 4 Show data context 3 Show data context 12 Show data context 48 Show data context 10 Show data context 1 Show data context 1 Show data context
Professional Occupations 0 Show data context 5 Show data context 8 Show data context 8 Show data context 14 Show data context 29 Show data context 107 Show data context 539 Show data context 289 Show data context 27 Show data context 25 Show data context
Domestic Services 0 Show data context 2 Show data context 9 Show data context 20 Show data context 17 Show data context 58 Show data context 157 Show data context 483 Show data context 298 Show data context 34 Show data context 17 Show data context
Commercial Occupations 1 Show data context 25 Show data context 39 Show data context 61 Show data context 64 Show data context 157 Show data context 301 Show data context 849 Show data context 388 Show data context 27 Show data context 12 Show data context
Transport 13 Show data context 222 Show data context 190 Show data context 116 Show data context 83 Show data context 197 Show data context 469 Show data context 1,522 Show data context 716 Show data context 75 Show data context 43 Show data context
Agriculture 1 Show data context 19 Show data context 36 Show data context 50 Show data context 38 Show data context 94 Show data context 207 Show data context 707 Show data context 522 Show data context 76 Show data context 88 Show data context
Fishing 0 Show data context 0 Show data context 0 Show data context 0 Show data context 0 Show data context 2 Show data context 2 Show data context 8 Show data context 9 Show data context 2 Show data context 2 Show data context
Mines & Quarries 0 Show data context 55 Show data context 61 Show data context 93 Show data context 110 Show data context 161 Show data context 395 Show data context 1,205 Show data context 483 Show data context 33 Show data context 18 Show data context
Metals, Machines 0 Show data context 273 Show data context 486 Show data context 596 Show data context 621 Show data context 1,302 Show data context 3,312 Show data context 9,513 Show data context 3,641 Show data context 292 Show data context 142 Show data context
Jewelry, Instruments 0 Show data context 0 Show data context 3 Show data context 6 Show data context 4 Show data context 9 Show data context 22 Show data context 70 Show data context 30 Show data context 2 Show data context 3 Show data context
Building 0 Show data context 20 Show data context 29 Show data context 56 Show data context 61 Show data context 132 Show data context 316 Show data context 1,088 Show data context 654 Show data context 77 Show data context 43 Show data context
Wood, Furniture 1 Show data context 3 Show data context 14 Show data context 13 Show data context 14 Show data context 27 Show data context 59 Show data context 331 Show data context 165 Show data context 15 Show data context 11 Show data context
Brick, Cement 0 Show data context 9 Show data context 7 Show data context 9 Show data context 9 Show data context 16 Show data context 18 Show data context 93 Show data context 45 Show data context 7 Show data context 2 Show data context
Chemicals 0 Show data context 1 Show data context 4 Show data context 6 Show data context 6 Show data context 9 Show data context 29 Show data context 87 Show data context 61 Show data context 9 Show data context 10 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 1 Show data context 5 Show data context 15 Show data context 16 Show data context 2 Show data context 2 Show data context
Paper, Prints 0 Show data context 7 Show data context 8 Show data context 10 Show data context 11 Show data context 20 Show data context 32 Show data context 157 Show data context 81 Show data context 4 Show data context 9 Show data context
Textile Fabrics 5 Show data context 70 Show data context 95 Show data context 103 Show data context 76 Show data context 163 Show data context 279 Show data context 744 Show data context 608 Show data context 78 Show data context 50 Show data context
Dress 0 Show data context 8 Show data context 12 Show data context 18 Show data context 13 Show data context 39 Show data context 60 Show data context 303 Show data context 192 Show data context 19 Show data context 7 Show data context
Food, Drink 3 Show data context 36 Show data context 72 Show data context 87 Show data context 82 Show data context 171 Show data context 336 Show data context 924 Show data context 405 Show data context 35 Show data context 35 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 4 Show data context 20 Show data context 151 Show data context 84 Show data context 8 Show data context 10 Show data context
Other & Undefined 1 Show data context 13 Show data context 9 Show data context 11 Show data context 17 Show data context 48 Show data context 134 Show data context 755 Show data context 386 Show data context 51 Show data context 27 Show data context
Unoccupied 6,128 Show data context 643 Show data context 294 Show data context 121 Show data context 86 Show data context 106 Show data context 172 Show data context 404 Show data context 483 Show data context 238 Show data context 708 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 1 Show data context 3 Show data context 3 Show data context 13 Show data context 31 Show data context 45 Show data context 14 Show data context 1 Show data context 1 Show data context
Defence
Professional Occupations 1 Show data context 1 Show data context 1 Show data context 6 Show data context 2 Show data context 17 Show data context 229 Show data context 546 Show data context 138 Show data context 8 Show data context 6 Show data context
Domestic Services 0 Show data context 89 Show data context 143 Show data context 180 Show data context 221 Show data context 477 Show data context 1,150 Show data context 1,645 Show data context 480 Show data context 44 Show data context 28 Show data context
Commercial Occupations 0 Show data context 8 Show data context 28 Show data context 47 Show data context 68 Show data context 124 Show data context 220 Show data context 165 Show data context 9 Show data context 0 Show data context 0 Show data context
Transport 0 Show data context 48 Show data context 44 Show data context 26 Show data context 11 Show data context 15 Show data context 25 Show data context 19 Show data context 6 Show data context 0 Show data context 0 Show data context
Agriculture 0 Show data context 4 Show data context 14 Show data context 30 Show data context 22 Show data context 52 Show data context 124 Show data context 152 Show data context 105 Show data context 11 Show data context 15 Show data context
Fishing
Mines & Quarries 0 Show data context 1 Show data context 3 Show data context 4 Show data context 9 Show data context 9 Show data context 19 Show data context 4 Show data context 1 Show data context 0 Show data context 0 Show data context
Metals, Machines 0 Show data context 21 Show data context 84 Show data context 87 Show data context 107 Show data context 241 Show data context 533 Show data context 329 Show data context 19 Show data context 1 Show data context 2 Show data context
Jewelry, Instruments 0 Show data context 1 Show data context 0 Show data context 0 Show data context 1 Show data context 2 Show data context 6 Show data context 4 Show data context 3 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 3 Show data context 2 Show data context 0 Show data context 2 Show data context 0 Show data context 0 Show data context
Wood, Furniture 0 Show data context 4 Show data context 5 Show data context 14 Show data context 23 Show data context 49 Show data context 97 Show data context 100 Show data context 9 Show data context 0 Show data context 0 Show data context
Brick, Cement 0 Show data context 0 Show data context 1 Show data context 2 Show data context 5 Show data context 5 Show data context 13 Show data context 11 Show data context 4 Show data context 0 Show data context 0 Show data context
Chemicals 0 Show data context 1 Show data context 2 Show data context 4 Show data context 3 Show data context 6 Show data context 6 Show data context 11 Show data context 0 Show data context 0 Show data context 0 Show data context
Skins, Leather 0 Show data context 1 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 1 Show data context 0 Show data context 0 Show data context
Paper, Prints 0 Show data context 8 Show data context 16 Show data context 14 Show data context 18 Show data context 33 Show data context 68 Show data context 65 Show data context 24 Show data context 1 Show data context 1 Show data context
Textile Fabrics 2 Show data context 135 Show data context 203 Show data context 273 Show data context 253 Show data context 501 Show data context 757 Show data context 595 Show data context 189 Show data context 20 Show data context 13 Show data context
Dress 0 Show data context 23 Show data context 59 Show data context 76 Show data context 84 Show data context 141 Show data context 304 Show data context 480 Show data context 140 Show data context 9 Show data context 4 Show data context
Food, Drink 1 Show data context 30 Show data context 43 Show data context 52 Show data context 65 Show data context 109 Show data context 216 Show data context 322 Show data context 159 Show data context 22 Show data context 17 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 1 Show data context 0 Show data context 0 Show data context 0 Show data context
Other & Undefined 0 Show data context 8 Show data context 15 Show data context 20 Show data context 19 Show data context 42 Show data context 87 Show data context 75 Show data context 32 Show data context 4 Show data context 3 Show data context
Unoccupied 5,795 Show data context 962 Show data context 685 Show data context 469 Show data context 396 Show data context 735 Show data context 2,529 Show data context 15,872 Show data context 8,630 Show data context 1,193 Show data context 1,959 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, Dunbartonshire 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/10058636/cube/OCC_ORD1911_AGESEX_S

Date accessed: 29th April 2024