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 3 Show data context 24 Show data context 14 Show data context 22 Show data context 17 Show data context 17 Show data context 13 Show data context 78 Show data context 183 Show data context 144 Show data context 91 Show data context 68 Show data context 24 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 0 Show data context 3 Show data context 14 Show data context 12 Show data context 7 Show data context 6 Show data context 6 Show data context
Professional Occupations 0 Show data context 1 Show data context 5 Show data context 13 Show data context 15 Show data context 11 Show data context 34 Show data context 34 Show data context 145 Show data context 361 Show data context 303 Show data context 253 Show data context 142 Show data context 72 Show data context
Domestic Services 0 Show data context 2 Show data context 14 Show data context 25 Show data context 49 Show data context 29 Show data context 25 Show data context 32 Show data context 108 Show data context 183 Show data context 141 Show data context 112 Show data context 73 Show data context 30 Show data context
Commercial Occupations 0 Show data context 3 Show data context 10 Show data context 26 Show data context 33 Show data context 33 Show data context 32 Show data context 37 Show data context 169 Show data context 326 Show data context 258 Show data context 147 Show data context 83 Show data context 33 Show data context
Transport 14 Show data context 37 Show data context 85 Show data context 83 Show data context 75 Show data context 80 Show data context 90 Show data context 103 Show data context 499 Show data context 934 Show data context 767 Show data context 511 Show data context 336 Show data context 133 Show data context
Agriculture 6 Show data context 19 Show data context 222 Show data context 355 Show data context 477 Show data context 521 Show data context 421 Show data context 392 Show data context 1,368 Show data context 1,986 Show data context 1,787 Show data context 1,599 Show data context 1,215 Show data context 916 Show data context
Mines and Quarries
Metals, Machines 0 Show data context 21 Show data context 199 Show data context 279 Show data context 329 Show data context 327 Show data context 385 Show data context 354 Show data context 1,918 Show data context 3,361 Show data context 2,218 Show data context 1,147 Show data context 601 Show data context 201 Show data context
Jewelry, Instruments 0 Show data context 52 Show data context 226 Show data context 313 Show data context 300 Show data context 348 Show data context 376 Show data context 347 Show data context 1,421 Show data context 2,188 Show data context 1,843 Show data context 1,225 Show data context 621 Show data context 245 Show data context
Building 0 Show data context 0 Show data context 0 Show data context 0 Show data context 2 Show data context 2 Show data context 0 Show data context 0 Show data context 11 Show data context 23 Show data context 29 Show data context 13 Show data context 4 Show data context 8 Show data context
Wood, Furniture 0 Show data context 6 Show data context 18 Show data context 38 Show data context 50 Show data context 74 Show data context 72 Show data context 81 Show data context 544 Show data context 1,217 Show data context 853 Show data context 643 Show data context 413 Show data context 263 Show data context
Brick, Cement 0 Show data context 6 Show data context 18 Show data context 21 Show data context 20 Show data context 24 Show data context 19 Show data context 20 Show data context 87 Show data context 149 Show data context 124 Show data context 78 Show data context 51 Show data context 34 Show data context
Chemicals 0 Show data context 2 Show data context 11 Show data context 12 Show data context 5 Show data context 9 Show data context 6 Show data context 11 Show data context 44 Show data context 95 Show data context 68 Show data context 53 Show data context 32 Show data context 10 Show data context
Skins, Leather 0 Show data context 1 Show data context 0 Show data context 5 Show data context 3 Show data context 3 Show data context 6 Show data context 7 Show data context 22 Show data context 52 Show data context 35 Show data context 36 Show data context 14 Show data context 10 Show data context
Paper, Prints 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 1 Show data context 11 Show data context 26 Show data context 25 Show data context 27 Show data context 14 Show data context 8 Show data context
Textile Fabrics 1 Show data context 1 Show data context 5 Show data context 6 Show data context 10 Show data context 3 Show data context 6 Show data context 8 Show data context 25 Show data context 53 Show data context 43 Show data context 26 Show data context 24 Show data context 4 Show data context
Dress 0 Show data context 0 Show data context 17 Show data context 30 Show data context 40 Show data context 26 Show data context 34 Show data context 19 Show data context 87 Show data context 178 Show data context 202 Show data context 147 Show data context 86 Show data context 48 Show data context
Food, Drink 1 Show data context 3 Show data context 18 Show data context 38 Show data context 36 Show data context 40 Show data context 34 Show data context 25 Show data context 162 Show data context 329 Show data context 252 Show data context 195 Show data context 133 Show data context 107 Show data context
Gas, Water 1 Show data context 5 Show data context 29 Show data context 45 Show data context 58 Show data context 57 Show data context 50 Show data context 57 Show data context 226 Show data context 483 Show data context 456 Show data context 341 Show data context 231 Show data context 150 Show data context
Other and Undefined 0 Show data context 0 Show data context 2 Show data context 4 Show data context 0 Show data context 0 Show data context 0 Show data context 1 Show data context 16 Show data context 34 Show data context 35 Show data context 25 Show data context 16 Show data context 5 Show data context
Unoccupied 1 Show data context 4 Show data context 18 Show data context 41 Show data context 44 Show data context 41 Show data context 43 Show data context 50 Show data context 249 Show data context 578 Show data context 524 Show data context 404 Show data context 299 Show data context 220 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 2 Show data context 4 Show data context 8 Show data context 9 Show data context 11 Show data context 41 Show data context 41 Show data context 24 Show data context 18 Show data context 11 Show data context 7 Show data context
Defence
Professional Occupations 0 Show data context 0 Show data context 4 Show data context 2 Show data context 7 Show data context 13 Show data context 32 Show data context 37 Show data context 289 Show data context 360 Show data context 118 Show data context 67 Show data context 42 Show data context 25 Show data context
Domestic Services 6 Show data context 27 Show data context 193 Show data context 332 Show data context 383 Show data context 431 Show data context 433 Show data context 380 Show data context 1,539 Show data context 1,098 Show data context 475 Show data context 381 Show data context 285 Show data context 226 Show data context
Commercial Occupations 0 Show data context 0 Show data context 0 Show data context 1 Show data context 5 Show data context 7 Show data context 8 Show data context 5 Show data context 18 Show data context 14 Show data context 10 Show data context 1 Show data context 1 Show data context 1 Show data context
Transport 0 Show data context 0 Show data context 2 Show data context 1 Show data context 3 Show data context 0 Show data context 1 Show data context 2 Show data context 1 Show data context 4 Show data context 6 Show data context 3 Show data context 2 Show data context 3 Show data context
Agriculture 1 Show data context 7 Show data context 80 Show data context 111 Show data context 179 Show data context 164 Show data context 153 Show data context 181 Show data context 745 Show data context 875 Show data context 450 Show data context 379 Show data context 334 Show data context 360 Show data context
Mines and Quarries
Metals, Machines 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 1 Show data context 1 Show data context 2 Show data context 2 Show data context 1 Show data context 4 Show data context
Jewelry, Instruments 0 Show data context 4 Show data context 41 Show data context 88 Show data context 83 Show data context 96 Show data context 87 Show data context 76 Show data context 246 Show data context 98 Show data context 41 Show data context 25 Show data context 6 Show data context 2 Show data context
Building 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 4 Show data context 2 Show data context 0 Show data context 2 Show data context 0 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 1 Show data context
Brick, Cement 0 Show data context 0 Show data context 2 Show data context 0 Show data context 2 Show data context 0 Show data context 1 Show data context 2 Show data context 1 Show data context 6 Show data context 4 Show data context 1 Show data context 2 Show data context 2 Show data context
Chemicals 0 Show data context 0 Show data context 2 Show data context 2 Show data context 3 Show data context 3 Show data context 8 Show data context 9 Show data context 9 Show data context 9 Show data context 8 Show data context 3 Show data context 4 Show data context 2 Show data context
Skins, Leather 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 0 Show data context 3 Show data context 2 Show data context 3 Show data context 0 Show data context 1 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 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 2 Show data context 0 Show data context 3 Show data context
Textile Fabrics 0 Show data context 0 Show data context 3 Show data context 1 Show data context 3 Show data context 1 Show data context 3 Show data context 0 Show data context 11 Show data context 18 Show data context 4 Show data context 5 Show data context 11 Show data context 5 Show data context
Dress 0 Show data context 0 Show data context 19 Show data context 41 Show data context 38 Show data context 47 Show data context 48 Show data context 48 Show data context 149 Show data context 146 Show data context 80 Show data context 55 Show data context 35 Show data context 25 Show data context
Food, Drink 0 Show data context 1 Show data context 61 Show data context 169 Show data context 228 Show data context 210 Show data context 219 Show data context 202 Show data context 850 Show data context 688 Show data context 340 Show data context 175 Show data context 99 Show data context 73 Show data context
Gas, Water 0 Show data context 0 Show data context 11 Show data context 25 Show data context 19 Show data context 51 Show data context 28 Show data context 50 Show data context 190 Show data context 324 Show data context 380 Show data context 358 Show data context 275 Show data context 219 Show data context
Other and Undefined
Unoccupied 0 Show data context 0 Show data context 6 Show data context 5 Show data context 10 Show data context 8 Show data context 11 Show data context 7 Show data context 34 Show data context 39 Show data context 32 Show data context 38 Show data context 23 Show data context 18 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, Carmarthenshire 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/10152926/cube/OCC_ORD1911_AGESEX

Date accessed: 20th January 2022