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 10-12 13 14 15 16 17 18 19 20-24 25-34 35-44 45-54 55-64 65 up
Government 0 Show data context 0 Show data context 29 Show data context 77 Show data context 55 Show data context 49 Show data context 48 Show data context 48 Show data context 351 Show data context 809 Show data context 664 Show data context 321 Show data context 114 Show data context 21 Show data context
Defence 0 Show data context 0 Show data context 0 Show data context 1 Show data context 1 Show data context 2 Show data context 8 Show data context 4 Show data context 43 Show data context 62 Show data context 9 Show data context 1 Show data context 2 Show data context 3 Show data context
Professional Occupations 0 Show data context 1 Show data context 16 Show data context 27 Show data context 34 Show data context 41 Show data context 48 Show data context 51 Show data context 397 Show data context 777 Show data context 564 Show data context 494 Show data context 282 Show data context 122 Show data context
Domestic Services 1 Show data context 0 Show data context 11 Show data context 18 Show data context 13 Show data context 19 Show data context 38 Show data context 17 Show data context 130 Show data context 279 Show data context 265 Show data context 200 Show data context 135 Show data context 77 Show data context
Commercial Occupations 1 Show data context 2 Show data context 117 Show data context 254 Show data context 325 Show data context 363 Show data context 413 Show data context 383 Show data context 1,727 Show data context 2,414 Show data context 1,458 Show data context 952 Show data context 609 Show data context 268 Show data context
Transport 36 Show data context 56 Show data context 541 Show data context 556 Show data context 356 Show data context 250 Show data context 182 Show data context 189 Show data context 885 Show data context 2,068 Show data context 1,688 Show data context 1,096 Show data context 580 Show data context 168 Show data context
Agriculture 0 Show data context 0 Show data context 1 Show data context 1 Show data context 0 Show data context 4 Show data context 2 Show data context 2 Show data context 21 Show data context 45 Show data context 54 Show data context 42 Show data context 48 Show data context 35 Show data context
Mines & Quarries
Metals, Machines 0 Show data context 0 Show data context 1 Show data context 1 Show data context 3 Show data context 1 Show data context 0 Show data context 1 Show data context 6 Show data context 41 Show data context 24 Show data context 24 Show data context 23 Show data context 9 Show data context
Jewelry, Instruments 1 Show data context 1 Show data context 44 Show data context 74 Show data context 128 Show data context 113 Show data context 140 Show data context 152 Show data context 657 Show data context 1,143 Show data context 748 Show data context 518 Show data context 280 Show data context 159 Show data context
Building 0 Show data context 1 Show data context 25 Show data context 40 Show data context 50 Show data context 67 Show data context 73 Show data context 72 Show data context 308 Show data context 532 Show data context 387 Show data context 289 Show data context 155 Show data context 101 Show data context
Wood, Furniture 0 Show data context 0 Show data context 14 Show data context 25 Show data context 29 Show data context 50 Show data context 71 Show data context 58 Show data context 409 Show data context 1,308 Show data context 1,232 Show data context 1,105 Show data context 791 Show data context 305 Show data context
Brick, Cement 0 Show data context 0 Show data context 47 Show data context 117 Show data context 110 Show data context 134 Show data context 126 Show data context 127 Show data context 636 Show data context 1,591 Show data context 1,128 Show data context 776 Show data context 518 Show data context 233 Show data context
Chemicals 0 Show data context 0 Show data context 13 Show data context 29 Show data context 28 Show data context 33 Show data context 29 Show data context 25 Show data context 118 Show data context 216 Show data context 189 Show data context 83 Show data context 50 Show data context 7 Show data context
Skins, Leather 0 Show data context 0 Show data context 25 Show data context 40 Show data context 38 Show data context 54 Show data context 32 Show data context 43 Show data context 211 Show data context 352 Show data context 260 Show data context 218 Show data context 101 Show data context 34 Show data context
Paper, Prints 0 Show data context 0 Show data context 16 Show data context 53 Show data context 65 Show data context 44 Show data context 44 Show data context 60 Show data context 245 Show data context 429 Show data context 273 Show data context 245 Show data context 147 Show data context 56 Show data context
Textile Fabrics 1 Show data context 1 Show data context 73 Show data context 110 Show data context 117 Show data context 122 Show data context 128 Show data context 118 Show data context 600 Show data context 990 Show data context 841 Show data context 598 Show data context 371 Show data context 122 Show data context
Dress 0 Show data context 0 Show data context 12 Show data context 30 Show data context 43 Show data context 36 Show data context 60 Show data context 52 Show data context 271 Show data context 392 Show data context 277 Show data context 185 Show data context 116 Show data context 41 Show data context
Food, Drink 2 Show data context 4 Show data context 51 Show data context 99 Show data context 125 Show data context 137 Show data context 112 Show data context 127 Show data context 630 Show data context 1,345 Show data context 1,265 Show data context 929 Show data context 597 Show data context 242 Show data context
Gas, Water 1 Show data context 2 Show data context 44 Show data context 90 Show data context 117 Show data context 155 Show data context 183 Show data context 193 Show data context 894 Show data context 1,753 Show data context 1,413 Show data context 985 Show data context 524 Show data context 182 Show data context
Other & Undefined 0 Show data context 0 Show data context 0 Show data context 3 Show data context 5 Show data context 10 Show data context 8 Show data context 11 Show data context 58 Show data context 170 Show data context 180 Show data context 139 Show data context 63 Show data context 15 Show data context
Unoccupied 18 Show data context 23 Show data context 37 Show data context 60 Show data context 69 Show data context 65 Show data context 74 Show data context 82 Show data context 406 Show data context 799 Show data context 772 Show data context 563 Show data context 344 Show data context 131 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 0 Show data context 1 Show data context 1 Show data context 5 Show data context 16 Show data context 22 Show data context 22 Show data context 162 Show data context 214 Show data context 77 Show data context 41 Show data context 24 Show data context 3 Show data context
Defence
Professional Occupations 0 Show data context 0 Show data context 10 Show data context 11 Show data context 26 Show data context 33 Show data context 57 Show data context 46 Show data context 547 Show data context 961 Show data context 636 Show data context 477 Show data context 248 Show data context 98 Show data context
Domestic Services 4 Show data context 6 Show data context 186 Show data context 253 Show data context 347 Show data context 444 Show data context 464 Show data context 463 Show data context 2,099 Show data context 2,119 Show data context 1,477 Show data context 1,264 Show data context 812 Show data context 314 Show data context
Commercial Occupations 0 Show data context 1 Show data context 28 Show data context 77 Show data context 110 Show data context 170 Show data context 181 Show data context 173 Show data context 717 Show data context 579 Show data context 146 Show data context 46 Show data context 17 Show data context 3 Show data context
Transport 0 Show data context 0 Show data context 35 Show data context 30 Show data context 24 Show data context 21 Show data context 12 Show data context 18 Show data context 50 Show data context 52 Show data context 8 Show data context 6 Show data context 5 Show data context 1 Show data context
Agriculture 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 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
Mines & 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 2 Show data context 1 Show data context 1 Show data context 1 Show data context
Jewelry, Instruments 0 Show data context 0 Show data context 19 Show data context 22 Show data context 34 Show data context 39 Show data context 39 Show data context 42 Show data context 137 Show data context 71 Show data context 19 Show data context 6 Show data context 6 Show data context 3 Show data context
Building 0 Show data context 0 Show data context 14 Show data context 14 Show data context 9 Show data context 17 Show data context 13 Show data context 12 Show data context 78 Show data context 64 Show data context 23 Show data context 22 Show data context 9 Show data context 5 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 1 Show data context 2 Show data context 0 Show data context 3 Show data context
Brick, Cement 0 Show data context 0 Show data context 5 Show data context 18 Show data context 21 Show data context 19 Show data context 25 Show data context 23 Show data context 103 Show data context 133 Show data context 62 Show data context 41 Show data context 24 Show data context 6 Show data context
Chemicals 0 Show data context 0 Show data context 0 Show data context 6 Show data context 4 Show data context 2 Show data context 3 Show data context 3 Show data context 13 Show data context 12 Show data context 8 Show data context 4 Show data context 3 Show data context 0 Show data context
Skins, Leather 0 Show data context 1 Show data context 16 Show data context 27 Show data context 35 Show data context 43 Show data context 43 Show data context 27 Show data context 128 Show data context 97 Show data context 41 Show data context 28 Show data context 10 Show data context 6 Show data context
Paper, Prints 0 Show data context 0 Show data context 63 Show data context 90 Show data context 73 Show data context 87 Show data context 88 Show data context 82 Show data context 341 Show data context 282 Show data context 142 Show data context 116 Show data context 55 Show data context 14 Show data context
Textile Fabrics 0 Show data context 2 Show data context 87 Show data context 110 Show data context 131 Show data context 150 Show data context 119 Show data context 121 Show data context 572 Show data context 605 Show data context 255 Show data context 177 Show data context 87 Show data context 22 Show data context
Dress 0 Show data context 0 Show data context 42 Show data context 82 Show data context 76 Show data context 69 Show data context 89 Show data context 83 Show data context 351 Show data context 302 Show data context 119 Show data context 114 Show data context 52 Show data context 26 Show data context
Food, Drink 0 Show data context 1 Show data context 357 Show data context 553 Show data context 609 Show data context 572 Show data context 630 Show data context 589 Show data context 2,589 Show data context 2,503 Show data context 1,418 Show data context 953 Show data context 610 Show data context 311 Show data context
Gas, Water 0 Show data context 0 Show data context 54 Show data context 83 Show data context 101 Show data context 127 Show data context 161 Show data context 127 Show data context 689 Show data context 745 Show data context 406 Show data context 306 Show data context 159 Show data context 72 Show data context
Other & Undefined 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 0 Show data context 0 Show data context 0 Show data context
Unoccupied 0 Show data context 0 Show data context 26 Show data context 44 Show data context 36 Show data context 35 Show data context 31 Show data context 35 Show data context 141 Show data context 130 Show data context 90 Show data context 69 Show data context 39 Show data context 22 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, Hackney MetB 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/10001810/cube/OCC_ORD1911_AGESEX

Date accessed: 01st May 2024