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 10-12 13 14 15 16 17 18 19 20-24 25-34 35-44 45-54 55-64 65 up
Government 0 Show data context 11 Show data context 41 Show data context 32 Show data context 18 Show data context 17 Show data context 22 Show data context 23 Show data context 116 Show data context 359 Show data context 277 Show data context 166 Show data context 68 Show data context 26 Show data context
Defence 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 3 Show data context 33 Show data context 49 Show data context 47 Show data context 36 Show data context 25 Show data context 32 Show data context
Professional Occupations 1 Show data context 2 Show data context 10 Show data context 17 Show data context 18 Show data context 31 Show data context 29 Show data context 33 Show data context 186 Show data context 516 Show data context 554 Show data context 442 Show data context 218 Show data context 127 Show data context
Domestic Services 15 Show data context 47 Show data context 130 Show data context 140 Show data context 162 Show data context 170 Show data context 165 Show data context 153 Show data context 776 Show data context 1,427 Show data context 1,095 Show data context 673 Show data context 375 Show data context 164 Show data context
Commercial Occupations 0 Show data context 3 Show data context 17 Show data context 33 Show data context 39 Show data context 68 Show data context 74 Show data context 57 Show data context 250 Show data context 527 Show data context 439 Show data context 254 Show data context 134 Show data context 54 Show data context
Transport 48 Show data context 167 Show data context 260 Show data context 188 Show data context 163 Show data context 168 Show data context 142 Show data context 134 Show data context 736 Show data context 1,615 Show data context 1,308 Show data context 889 Show data context 459 Show data context 124 Show data context
Agriculture 8 Show data context 240 Show data context 454 Show data context 548 Show data context 561 Show data context 552 Show data context 468 Show data context 421 Show data context 1,882 Show data context 2,941 Show data context 2,824 Show data context 2,688 Show data context 1,981 Show data context 1,548 Show data context
Mines and Quarries
Metals, Machines 0 Show data context 0 Show data context 2 Show data context 0 Show data context 5 Show data context 4 Show data context 7 Show data context 3 Show data context 34 Show data context 58 Show data context 77 Show data context 57 Show data context 40 Show data context 22 Show data context
Jewelry, Instruments 0 Show data context 7 Show data context 92 Show data context 96 Show data context 149 Show data context 211 Show data context 212 Show data context 207 Show data context 725 Show data context 1,577 Show data context 1,337 Show data context 923 Show data context 513 Show data context 124 Show data context
Building 0 Show data context 5 Show data context 7 Show data context 5 Show data context 7 Show data context 7 Show data context 9 Show data context 6 Show data context 29 Show data context 61 Show data context 62 Show data context 51 Show data context 30 Show data context 23 Show data context
Wood, Furniture 0 Show data context 5 Show data context 37 Show data context 58 Show data context 88 Show data context 95 Show data context 105 Show data context 98 Show data context 712 Show data context 1,845 Show data context 1,390 Show data context 1,053 Show data context 709 Show data context 378 Show data context
Brick, Cement 0 Show data context 45 Show data context 144 Show data context 163 Show data context 168 Show data context 144 Show data context 147 Show data context 141 Show data context 632 Show data context 1,277 Show data context 995 Show data context 691 Show data context 515 Show data context 302 Show data context
Chemicals 0 Show data context 0 Show data context 5 Show data context 12 Show data context 7 Show data context 17 Show data context 12 Show data context 10 Show data context 58 Show data context 138 Show data context 135 Show data context 97 Show data context 37 Show data context 20 Show data context
Skins, Leather 0 Show data context 0 Show data context 10 Show data context 6 Show data context 8 Show data context 17 Show data context 13 Show data context 4 Show data context 43 Show data context 65 Show data context 68 Show data context 49 Show data context 18 Show data context 11 Show data context
Paper, Prints 0 Show data context 7 Show data context 15 Show data context 12 Show data context 9 Show data context 12 Show data context 11 Show data context 11 Show data context 58 Show data context 106 Show data context 105 Show data context 80 Show data context 41 Show data context 18 Show data context
Textile Fabrics 1 Show data context 11 Show data context 55 Show data context 72 Show data context 81 Show data context 70 Show data context 64 Show data context 69 Show data context 263 Show data context 385 Show data context 288 Show data context 193 Show data context 114 Show data context 42 Show data context
Dress 0 Show data context 2 Show data context 3 Show data context 10 Show data context 11 Show data context 9 Show data context 7 Show data context 9 Show data context 30 Show data context 69 Show data context 73 Show data context 49 Show data context 34 Show data context 18 Show data context
Food, Drink 1 Show data context 32 Show data context 53 Show data context 63 Show data context 88 Show data context 72 Show data context 72 Show data context 60 Show data context 283 Show data context 619 Show data context 548 Show data context 356 Show data context 255 Show data context 199 Show data context
Gas, Water 0 Show data context 29 Show data context 97 Show data context 125 Show data context 183 Show data context 180 Show data context 182 Show data context 163 Show data context 681 Show data context 1,265 Show data context 1,146 Show data context 887 Show data context 588 Show data context 282 Show data context
Other and Undefined 0 Show data context 0 Show data context 1 Show data context 4 Show data context 1 Show data context 1 Show data context 2 Show data context 6 Show data context 23 Show data context 74 Show data context 106 Show data context 80 Show data context 40 Show data context 17 Show data context
Unoccupied 51 Show data context 49 Show data context 58 Show data context 63 Show data context 98 Show data context 99 Show data context 77 Show data context 85 Show data context 426 Show data context 877 Show data context 863 Show data context 652 Show data context 489 Show data context 370 Show data context
Sex = Female 1911 Occupation Tables Age Groups
1911 Occupational Classification 10-12 13 14 15 16 17 18 19 20-24 25-34 35-44 45-54 55-64 65 up
Government 0 Show data context 1 Show data context 1 Show data context 3 Show data context 10 Show data context 15 Show data context 12 Show data context 11 Show data context 82 Show data context 125 Show data context 59 Show data context 51 Show data context 21 Show data context 14 Show data context
Defence
Professional Occupations 0 Show data context 0 Show data context 10 Show data context 11 Show data context 22 Show data context 44 Show data context 66 Show data context 72 Show data context 462 Show data context 644 Show data context 444 Show data context 305 Show data context 143 Show data context 41 Show data context
Domestic Services 3 Show data context 122 Show data context 443 Show data context 593 Show data context 721 Show data context 762 Show data context 726 Show data context 807 Show data context 3,085 Show data context 2,697 Show data context 1,479 Show data context 1,098 Show data context 684 Show data context 344 Show data context
Commercial Occupations 0 Show data context 0 Show data context 5 Show data context 11 Show data context 23 Show data context 17 Show data context 24 Show data context 20 Show data context 110 Show data context 89 Show data context 23 Show data context 17 Show data context 5 Show data context 3 Show data context
Transport 1 Show data context 2 Show data context 3 Show data context 1 Show data context 1 Show data context 3 Show data context 3 Show data context 2 Show data context 14 Show data context 17 Show data context 7 Show data context 11 Show data context 9 Show data context 6 Show data context
Agriculture 0 Show data context 0 Show data context 12 Show data context 12 Show data context 18 Show data context 13 Show data context 17 Show data context 22 Show data context 82 Show data context 86 Show data context 71 Show data context 68 Show data context 59 Show data context 63 Show data context
Mines and Quarries
Metals, Machines 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 4 Show data context 6 Show data context 4 Show data context 1 Show data context
Jewelry, Instruments 0 Show data context 0 Show data context 5 Show data context 1 Show data context 0 Show data context 3 Show data context 3 Show data context 0 Show data context 12 Show data context 7 Show data context 7 Show data context 6 Show data context 1 Show data context 1 Show data context
Building 0 Show data context 1 Show data context 4 Show data context 1 Show data context 0 Show data context 2 Show data context 1 Show data context 1 Show data context 3 Show data context 5 Show data context 3 Show data context 5 Show data context 2 Show data context 1 Show data context
Wood, Furniture 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 0 Show data context 0 Show data context 3 Show data context 1 Show data context 0 Show data context
Brick, Cement 0 Show data context 2 Show data context 21 Show data context 16 Show data context 18 Show data context 26 Show data context 37 Show data context 33 Show data context 125 Show data context 96 Show data context 55 Show data context 50 Show data context 29 Show data context 16 Show data context
Chemicals 0 Show data context 0 Show data context 1 Show data context 1 Show data context 0 Show data context 2 Show data context 1 Show data context 0 Show data context 4 Show data context 5 Show data context 2 Show data context 3 Show data context 4 Show data context 0 Show data context
Skins, Leather 0 Show data context 0 Show data context 1 Show data context 6 Show data context 9 Show data context 5 Show data context 3 Show data context 2 Show data context 11 Show data context 11 Show data context 6 Show data context 2 Show data context 1 Show data context 0 Show data context
Paper, Prints 0 Show data context 13 Show data context 21 Show data context 17 Show data context 14 Show data context 14 Show data context 15 Show data context 28 Show data context 54 Show data context 59 Show data context 26 Show data context 11 Show data context 10 Show data context 4 Show data context
Textile Fabrics 0 Show data context 9 Show data context 77 Show data context 92 Show data context 97 Show data context 94 Show data context 107 Show data context 94 Show data context 311 Show data context 198 Show data context 85 Show data context 38 Show data context 35 Show data context 7 Show data context
Dress 0 Show data context 3 Show data context 16 Show data context 29 Show data context 32 Show data context 52 Show data context 28 Show data context 33 Show data context 124 Show data context 129 Show data context 98 Show data context 103 Show data context 128 Show data context 146 Show data context
Food, Drink 0 Show data context 33 Show data context 106 Show data context 153 Show data context 169 Show data context 166 Show data context 142 Show data context 150 Show data context 602 Show data context 545 Show data context 370 Show data context 253 Show data context 157 Show data context 120 Show data context
Gas, Water 0 Show data context 2 Show data context 23 Show data context 29 Show data context 36 Show data context 30 Show data context 46 Show data context 45 Show data context 220 Show data context 376 Show data context 405 Show data context 339 Show data context 258 Show data context 151 Show data context
Other and Undefined
Unoccupied 1 Show data context 2 Show data context 3 Show data context 8 Show data context 7 Show data context 5 Show data context 5 Show data context 9 Show data context 32 Show data context 64 Show data context 71 Show data context 52 Show data context 57 Show data context 46 Show data context
nCube definition Click on the triangles for all about a particular number
Date: Source:
1911 1911 Census of England and Wales, Occupations Vol 2, Table 13 , 'Occupations (Condensed List) of Males and Females at ages 10 years and upwards; in England and Wales, the aggregates of Urban and Rural Districts respectively in England and Wales, Administrative Counties, County Boroughs, Metropolitan Boroughs, Urban Districts of which the population exceeded 50,000 persons, and the aggregates of Rural Districts in Administrative Counties, 1911'

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nCube definition


All males and females at ages 10 years and upwards, categorised by gender, by 14 age groups, and by 23 occupational 'Orders'. This is the information provided by the 1911 Census's Occupation Tables. The occupational categories include Order 23, 'Without Specified Occupations or Unoccupied'.

How to reference this page:

GB Historical GIS / University of Portsmouth, Buckinghamshire AdmC 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/10054825/cube/OCC_ORD1911_AGESEX

Date accessed: 14th October 2019