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 1 Show data context 24 Show data context 34 Show data context 30 Show data context 16 Show data context 40 Show data context 116 Show data context 458 Show data context 190 Show data context 21 Show data context 14 Show data context
Defence 0 Show data context 0 Show data context 1 Show data context 0 Show data context 37 Show data context 74 Show data context 59 Show data context 147 Show data context 30 Show data context 3 Show data context 4 Show data context
Professional Occupations 0 Show data context 2 Show data context 16 Show data context 26 Show data context 28 Show data context 49 Show data context 108 Show data context 684 Show data context 508 Show data context 34 Show data context 54 Show data context
Domestic Services 0 Show data context 13 Show data context 38 Show data context 57 Show data context 74 Show data context 163 Show data context 338 Show data context 1,126 Show data context 624 Show data context 83 Show data context 45 Show data context
Commercial Occupations 1 Show data context 5 Show data context 21 Show data context 37 Show data context 64 Show data context 119 Show data context 214 Show data context 613 Show data context 304 Show data context 24 Show data context 19 Show data context
Transport 8 Show data context 149 Show data context 111 Show data context 104 Show data context 86 Show data context 177 Show data context 485 Show data context 1,852 Show data context 1,032 Show data context 113 Show data context 37 Show data context
Agriculture 3 Show data context 182 Show data context 281 Show data context 372 Show data context 332 Show data context 707 Show data context 1,389 Show data context 3,784 Show data context 2,646 Show data context 442 Show data context 485 Show data context
Fishing 0 Show data context 0 Show data context 2 Show data context 1 Show data context 1 Show data context 5 Show data context 10 Show data context 51 Show data context 57 Show data context 12 Show data context 3 Show data context
Mines and Quarries 0 Show data context 1 Show data context 1 Show data context 5 Show data context 6 Show data context 7 Show data context 31 Show data context 187 Show data context 147 Show data context 22 Show data context 13 Show data context
Metals, Machines 0 Show data context 18 Show data context 41 Show data context 52 Show data context 73 Show data context 139 Show data context 221 Show data context 703 Show data context 422 Show data context 55 Show data context 59 Show data context
Jewelry, Instruments 0 Show data context 0 Show data context 4 Show data context 9 Show data context 4 Show data context 11 Show data context 28 Show data context 85 Show data context 47 Show data context 8 Show data context 4 Show data context
Building 1 Show data context 17 Show data context 57 Show data context 68 Show data context 71 Show data context 131 Show data context 386 Show data context 1,556 Show data context 1,050 Show data context 151 Show data context 116 Show data context
Wood, Furniture 0 Show data context 5 Show data context 7 Show data context 8 Show data context 15 Show data context 18 Show data context 71 Show data context 271 Show data context 167 Show data context 27 Show data context 21 Show data context
Brick, Cement 0 Show data context 15 Show data context 26 Show data context 22 Show data context 20 Show data context 45 Show data context 78 Show data context 143 Show data context 68 Show data context 4 Show data context 0 Show data context
Chemicals 0 Show data context 0 Show data context 8 Show data context 4 Show data context 5 Show data context 11 Show data context 19 Show data context 56 Show data context 36 Show data context 1 Show data context 2 Show data context
Skins, Leather 0 Show data context 0 Show data context 0 Show data context 2 Show data context 1 Show data context 5 Show data context 6 Show data context 48 Show data context 47 Show data context 2 Show data context 3 Show data context
Paper, Prints 0 Show data context 6 Show data context 13 Show data context 12 Show data context 23 Show data context 31 Show data context 62 Show data context 207 Show data context 94 Show data context 8 Show data context 4 Show data context
Textile Fabrics 0 Show data context 58 Show data context 103 Show data context 106 Show data context 115 Show data context 192 Show data context 355 Show data context 1,027 Show data context 745 Show data context 81 Show data context 57 Show data context
Dress 1 Show data context 11 Show data context 15 Show data context 18 Show data context 24 Show data context 58 Show data context 112 Show data context 427 Show data context 334 Show data context 44 Show data context 44 Show data context
Food, Drink 3 Show data context 36 Show data context 77 Show data context 94 Show data context 126 Show data context 178 Show data context 346 Show data context 1,091 Show data context 587 Show data context 77 Show data context 60 Show data context
Gas, Water 0 Show data context 0 Show data context 0 Show data context 1 Show data context 2 Show data context 4 Show data context 7 Show data context 104 Show data context 92 Show data context 17 Show data context 9 Show data context
Other and Undefined 1 Show data context 3 Show data context 8 Show data context 17 Show data context 11 Show data context 26 Show data context 115 Show data context 543 Show data context 422 Show data context 87 Show data context 66 Show data context
Unoccupied 4,823 Show data context 653 Show data context 284 Show data context 147 Show data context 89 Show data context 125 Show data context 128 Show data context 377 Show data context 698 Show data context 342 Show data context 1,251 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 5 Show data context 5 Show data context 8 Show data context 17 Show data context 36 Show data context 94 Show data context 58 Show data context 5 Show data context 3 Show data context
Defence
Professional Occupations 0 Show data context 5 Show data context 4 Show data context 2 Show data context 3 Show data context 29 Show data context 221 Show data context 633 Show data context 176 Show data context 11 Show data context 6 Show data context
Domestic Services 0 Show data context 97 Show data context 201 Show data context 264 Show data context 312 Show data context 692 Show data context 1,425 Show data context 2,333 Show data context 909 Show data context 108 Show data context 78 Show data context
Commercial Occupations 0 Show data context 3 Show data context 16 Show data context 32 Show data context 34 Show data context 138 Show data context 248 Show data context 282 Show data context 27 Show data context 2 Show data context 2 Show data context
Transport 5 Show data context 34 Show data context 30 Show data context 15 Show data context 10 Show data context 13 Show data context 11 Show data context 9 Show data context 11 Show data context 1 Show data context 1 Show data context
Agriculture 0 Show data context 19 Show data context 36 Show data context 45 Show data context 37 Show data context 95 Show data context 195 Show data context 416 Show data context 313 Show data context 78 Show data context 72 Show data context
Fishing
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 1 Show data context 0 Show data context 1 Show data context 0 Show data context
Metals, Machines 0 Show data context 1 Show data context 1 Show data context 1 Show data context 2 Show data context 3 Show data context 6 Show data context 13 Show data context 2 Show data context 1 Show data context 0 Show data context
Jewelry, Instruments 0 Show data context 1 Show data context 0 Show data context 0 Show data context 0 Show data context 3 Show data context 1 Show data context 3 Show data context 2 Show data context 2 Show data context 1 Show data context
Building 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 0 Show data context 2 Show data context 0 Show data context 0 Show data context
Wood, Furniture 0 Show data context 2 Show data context 3 Show data context 1 Show data context 3 Show data context 3 Show data context 10 Show data context 16 Show data context 5 Show data context 2 Show data context 1 Show data context
Brick, Cement 0 Show data context 1 Show data context 1 Show data context 2 Show data context 2 Show data context 2 Show data context 9 Show data context 12 Show data context 1 Show data context 1 Show data context 2 Show data context
Chemicals 1 Show data context 2 Show data context 0 Show data context 4 Show data context 2 Show data context 1 Show data context 8 Show data context 8 Show data context 4 Show data context 0 Show data context 1 Show data context
Skins, Leather 0 Show data context 0 Show data context 1 Show data context 1 Show data context 1 Show data context 2 Show data context 7 Show data context 14 Show data context 6 Show data context 0 Show data context 0 Show data context
Paper, Prints 0 Show data context 10 Show data context 24 Show data context 13 Show data context 15 Show data context 40 Show data context 52 Show data context 78 Show data context 17 Show data context 1 Show data context 1 Show data context
Textile Fabrics 4 Show data context 124 Show data context 215 Show data context 224 Show data context 223 Show data context 428 Show data context 859 Show data context 1,277 Show data context 546 Show data context 44 Show data context 33 Show data context
Dress 0 Show data context 41 Show data context 72 Show data context 81 Show data context 95 Show data context 174 Show data context 346 Show data context 701 Show data context 247 Show data context 24 Show data context 28 Show data context
Food, Drink 0 Show data context 19 Show data context 28 Show data context 31 Show data context 35 Show data context 87 Show data context 176 Show data context 425 Show data context 315 Show data context 60 Show data context 60 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 0 Show data context 0 Show data context 0 Show data context 1 Show data context 0 Show data context
Other and Undefined 0 Show data context 2 Show data context 10 Show data context 5 Show data context 9 Show data context 20 Show data context 34 Show data context 80 Show data context 58 Show data context 14 Show data context 10 Show data context
Unoccupied 4,662 Show data context 767 Show data context 487 Show data context 383 Show data context 316 Show data context 630 Show data context 1,912 Show data context 12,779 Show data context 9,754 Show data context 1,736 Show data context 3,422 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, Perthshire 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/10058650/cube/OCC_ORD1911_AGESEX_S

Date accessed: 17th May 2022