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 8 Show data context 34 Show data context 36 Show data context 15 Show data context 19 Show data context 16 Show data context 24 Show data context 135 Show data context 355 Show data context 280 Show data context 184 Show data context 66 Show data context 32 Show data context
Defence 0 Show data context 0 Show data context 0 Show data context 0 Show data context 1 Show data context 34 Show data context 56 Show data context 20 Show data context 70 Show data context 80 Show data context 77 Show data context 39 Show data context 24 Show data context 30 Show data context
Professional Occupations 0 Show data context 2 Show data context 17 Show data context 36 Show data context 46 Show data context 43 Show data context 53 Show data context 46 Show data context 259 Show data context 549 Show data context 544 Show data context 515 Show data context 339 Show data context 203 Show data context
Domestic Services 8 Show data context 75 Show data context 107 Show data context 172 Show data context 185 Show data context 183 Show data context 197 Show data context 187 Show data context 764 Show data context 1,325 Show data context 982 Show data context 794 Show data context 471 Show data context 175 Show data context
Commercial Occupations 0 Show data context 4 Show data context 18 Show data context 45 Show data context 35 Show data context 65 Show data context 61 Show data context 62 Show data context 258 Show data context 539 Show data context 366 Show data context 249 Show data context 145 Show data context 66 Show data context
Transport 27 Show data context 132 Show data context 285 Show data context 284 Show data context 238 Show data context 209 Show data context 147 Show data context 136 Show data context 700 Show data context 1,361 Show data context 1,030 Show data context 747 Show data context 426 Show data context 133 Show data context
Agriculture 5 Show data context 257 Show data context 430 Show data context 514 Show data context 553 Show data context 497 Show data context 516 Show data context 411 Show data context 1,885 Show data context 2,920 Show data context 2,725 Show data context 2,694 Show data context 2,096 Show data context 1,553 Show data context
Mines and Quarries
Metals, Machines 0 Show data context 1 Show data context 5 Show data context 5 Show data context 4 Show data context 11 Show data context 12 Show data context 5 Show data context 46 Show data context 110 Show data context 115 Show data context 78 Show data context 45 Show data context 31 Show data context
Jewelry, Instruments 0 Show data context 8 Show data context 46 Show data context 76 Show data context 84 Show data context 94 Show data context 80 Show data context 108 Show data context 440 Show data context 755 Show data context 562 Show data context 432 Show data context 296 Show data context 148 Show data context
Building 0 Show data context 0 Show data context 1 Show data context 7 Show data context 9 Show data context 14 Show data context 6 Show data context 14 Show data context 28 Show data context 61 Show data context 72 Show data context 43 Show data context 26 Show data context 18 Show data context
Wood, Furniture 0 Show data context 4 Show data context 33 Show data context 63 Show data context 74 Show data context 110 Show data context 127 Show data context 107 Show data context 662 Show data context 1,643 Show data context 1,307 Show data context 1,298 Show data context 907 Show data context 486 Show data context
Brick, Cement 1 Show data context 7 Show data context 31 Show data context 33 Show data context 51 Show data context 32 Show data context 51 Show data context 55 Show data context 206 Show data context 377 Show data context 265 Show data context 223 Show data context 134 Show data context 99 Show data context
Chemicals 0 Show data context 2 Show data context 1 Show data context 1 Show data context 8 Show data context 4 Show data context 2 Show data context 5 Show data context 32 Show data context 74 Show data context 54 Show data context 35 Show data context 28 Show data context 19 Show data context
Skins, Leather 0 Show data context 1 Show data context 1 Show data context 5 Show data context 11 Show data context 4 Show data context 3 Show data context 6 Show data context 29 Show data context 52 Show data context 32 Show data context 21 Show data context 18 Show data context 4 Show data context
Paper, Prints 0 Show data context 0 Show data context 3 Show data context 6 Show data context 3 Show data context 16 Show data context 8 Show data context 4 Show data context 58 Show data context 89 Show data context 60 Show data context 51 Show data context 39 Show data context 25 Show data context
Textile Fabrics 0 Show data context 18 Show data context 50 Show data context 69 Show data context 71 Show data context 80 Show data context 58 Show data context 44 Show data context 209 Show data context 381 Show data context 309 Show data context 200 Show data context 117 Show data context 46 Show data context
Dress 0 Show data context 4 Show data context 19 Show data context 29 Show data context 39 Show data context 38 Show data context 43 Show data context 30 Show data context 140 Show data context 243 Show data context 178 Show data context 117 Show data context 94 Show data context 52 Show data context
Food, Drink 1 Show data context 7 Show data context 25 Show data context 53 Show data context 50 Show data context 64 Show data context 60 Show data context 48 Show data context 237 Show data context 464 Show data context 383 Show data context 248 Show data context 216 Show data context 170 Show data context
Gas, Water 0 Show data context 29 Show data context 80 Show data context 122 Show data context 165 Show data context 162 Show data context 149 Show data context 173 Show data context 735 Show data context 1,311 Show data context 1,112 Show data context 892 Show data context 531 Show data context 300 Show data context
Other and Undefined 0 Show data context 0 Show data context 0 Show data context 2 Show data context 0 Show data context 3 Show data context 4 Show data context 4 Show data context 26 Show data context 115 Show data context 96 Show data context 86 Show data context 61 Show data context 15 Show data context
Unoccupied 28 Show data context 21 Show data context 26 Show data context 45 Show data context 54 Show data context 58 Show data context 55 Show data context 52 Show data context 320 Show data context 727 Show data context 701 Show data context 574 Show data context 424 Show data context 279 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 0 Show data context 3 Show data context 12 Show data context 9 Show data context 14 Show data context 19 Show data context 50 Show data context 102 Show data context 68 Show data context 26 Show data context 27 Show data context 14 Show data context
Defence
Professional Occupations 0 Show data context 3 Show data context 17 Show data context 27 Show data context 31 Show data context 54 Show data context 78 Show data context 70 Show data context 448 Show data context 729 Show data context 474 Show data context 332 Show data context 175 Show data context 106 Show data context
Domestic Services 2 Show data context 150 Show data context 484 Show data context 660 Show data context 819 Show data context 879 Show data context 902 Show data context 822 Show data context 3,251 Show data context 2,856 Show data context 1,518 Show data context 1,266 Show data context 811 Show data context 375 Show data context
Commercial Occupations 0 Show data context 1 Show data context 5 Show data context 14 Show data context 15 Show data context 30 Show data context 32 Show data context 25 Show data context 116 Show data context 90 Show data context 32 Show data context 12 Show data context 6 Show data context 0 Show data context
Transport 2 Show data context 1 Show data context 2 Show data context 0 Show data context 0 Show data context 0 Show data context 2 Show data context 1 Show data context 6 Show data context 10 Show data context 9 Show data context 12 Show data context 13 Show data context 5 Show data context
Agriculture 0 Show data context 1 Show data context 5 Show data context 8 Show data context 15 Show data context 18 Show data context 18 Show data context 11 Show data context 67 Show data context 77 Show data context 63 Show data context 56 Show data context 55 Show data context 41 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 3 Show data context 2 Show data context 1 Show data context 2 Show data context 5 Show data context
Jewelry, Instruments 0 Show data context 0 Show data context 0 Show data context 1 Show data context 2 Show data context 0 Show data context 1 Show data context 0 Show data context 3 Show data context 6 Show data context 6 Show data context 4 Show data context 6 Show data context 5 Show data context
Building 0 Show data context 0 Show data context 0 Show data context 2 Show data context 4 Show data context 1 Show data context 3 Show data context 1 Show data context 8 Show data context 8 Show data context 7 Show data context 4 Show data context 2 Show data context 9 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 0 Show data context 2 Show data context 3 Show data context
Brick, Cement 0 Show data context 0 Show data context 2 Show data context 2 Show data context 5 Show data context 2 Show data context 1 Show data context 2 Show data context 10 Show data context 12 Show data context 11 Show data context 4 Show data context 13 Show data context 8 Show data context
Chemicals 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 3 Show data context 8 Show data context 4 Show data context 1 Show data context 2 Show data context 0 Show data context
Skins, Leather 0 Show data context 0 Show data context 0 Show data context 1 Show data context 0 Show data context 1 Show data context 1 Show data context 0 Show data context 2 Show data context 3 Show data context 2 Show data context 1 Show data context 0 Show data context 0 Show data context
Paper, Prints 0 Show data context 0 Show data context 0 Show data context 0 Show data context 3 Show data context 2 Show data context 1 Show data context 2 Show data context 5 Show data context 7 Show data context 2 Show data context 1 Show data context 3 Show data context 2 Show data context
Textile Fabrics 0 Show data context 9 Show data context 27 Show data context 37 Show data context 32 Show data context 29 Show data context 34 Show data context 26 Show data context 107 Show data context 96 Show data context 46 Show data context 23 Show data context 24 Show data context 11 Show data context
Dress 0 Show data context 15 Show data context 46 Show data context 67 Show data context 95 Show data context 75 Show data context 88 Show data context 76 Show data context 326 Show data context 257 Show data context 109 Show data context 61 Show data context 37 Show data context 28 Show data context
Food, Drink 0 Show data context 16 Show data context 137 Show data context 164 Show data context 217 Show data context 201 Show data context 202 Show data context 189 Show data context 792 Show data context 737 Show data context 553 Show data context 372 Show data context 249 Show data context 155 Show data context
Gas, Water 0 Show data context 3 Show data context 17 Show data context 29 Show data context 35 Show data context 39 Show data context 49 Show data context 50 Show data context 249 Show data context 414 Show data context 444 Show data context 423 Show data context 348 Show data context 238 Show data context
Other and Undefined
Unoccupied 1 Show data context 1 Show data context 8 Show data context 8 Show data context 9 Show data context 14 Show data context 14 Show data context 10 Show data context 44 Show data context 61 Show data context 49 Show data context 67 Show data context 52 Show data context 30 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, Oxfordshire 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/10134808/cube/OCC_ORD1911_AGESEX

Date accessed: 17th November 2019