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 10 Show data context 38 Show data context 44 Show data context 29 Show data context 17 Show data context 30 Show data context 32 Show data context 156 Show data context 428 Show data context 358 Show data context 238 Show data context 95 Show data context 48 Show data context
Defence 0 Show data context 0 Show data context 0 Show data context 1 Show data context 0 Show data context 16 Show data context 33 Show data context 20 Show data context 63 Show data context 85 Show data context 83 Show data context 43 Show data context 20 Show data context 13 Show data context
Professional Occupations 0 Show data context 1 Show data context 9 Show data context 16 Show data context 22 Show data context 35 Show data context 39 Show data context 31 Show data context 226 Show data context 487 Show data context 462 Show data context 454 Show data context 287 Show data context 142 Show data context
Domestic Services 1 Show data context 27 Show data context 104 Show data context 143 Show data context 145 Show data context 175 Show data context 136 Show data context 125 Show data context 673 Show data context 1,094 Show data context 839 Show data context 604 Show data context 340 Show data context 199 Show data context
Commercial Occupations 0 Show data context 4 Show data context 23 Show data context 43 Show data context 53 Show data context 64 Show data context 65 Show data context 63 Show data context 306 Show data context 599 Show data context 478 Show data context 292 Show data context 182 Show data context 81 Show data context
Transport 34 Show data context 130 Show data context 317 Show data context 327 Show data context 246 Show data context 226 Show data context 177 Show data context 175 Show data context 841 Show data context 1,525 Show data context 1,355 Show data context 887 Show data context 576 Show data context 199 Show data context
Agriculture 5 Show data context 109 Show data context 494 Show data context 678 Show data context 748 Show data context 703 Show data context 676 Show data context 578 Show data context 2,430 Show data context 4,400 Show data context 4,096 Show data context 3,622 Show data context 2,571 Show data context 2,207 Show data context
Mines and Quarries
Metals, Machines 0 Show data context 16 Show data context 76 Show data context 130 Show data context 157 Show data context 152 Show data context 158 Show data context 200 Show data context 758 Show data context 1,562 Show data context 1,401 Show data context 963 Show data context 613 Show data context 277 Show data context
Jewelry, Instruments 0 Show data context 25 Show data context 94 Show data context 218 Show data context 263 Show data context 265 Show data context 290 Show data context 294 Show data context 1,207 Show data context 1,961 Show data context 1,551 Show data context 1,214 Show data context 721 Show data context 347 Show data context
Building 0 Show data context 0 Show data context 1 Show data context 4 Show data context 7 Show data context 6 Show data context 6 Show data context 9 Show data context 28 Show data context 62 Show data context 43 Show data context 42 Show data context 28 Show data context 16 Show data context
Wood, Furniture 0 Show data context 6 Show data context 40 Show data context 52 Show data context 81 Show data context 117 Show data context 99 Show data context 92 Show data context 592 Show data context 1,485 Show data context 1,197 Show data context 1,149 Show data context 851 Show data context 499 Show data context
Brick, Cement 0 Show data context 1 Show data context 12 Show data context 20 Show data context 35 Show data context 26 Show data context 23 Show data context 25 Show data context 109 Show data context 215 Show data context 182 Show data context 155 Show data context 118 Show data context 87 Show data context
Chemicals 0 Show data context 35 Show data context 67 Show data context 65 Show data context 83 Show data context 76 Show data context 64 Show data context 69 Show data context 210 Show data context 359 Show data context 333 Show data context 203 Show data context 110 Show data context 54 Show data context
Skins, Leather 0 Show data context 0 Show data context 2 Show data context 5 Show data context 11 Show data context 1 Show data context 4 Show data context 8 Show data context 37 Show data context 67 Show data context 51 Show data context 30 Show data context 29 Show data context 14 Show data context
Paper, Prints 0 Show data context 0 Show data context 3 Show data context 4 Show data context 10 Show data context 8 Show data context 13 Show data context 7 Show data context 40 Show data context 86 Show data context 78 Show data context 57 Show data context 42 Show data context 26 Show data context
Textile Fabrics 0 Show data context 0 Show data context 14 Show data context 26 Show data context 20 Show data context 22 Show data context 18 Show data context 16 Show data context 72 Show data context 102 Show data context 100 Show data context 53 Show data context 47 Show data context 19 Show data context
Dress 0 Show data context 21 Show data context 17 Show data context 35 Show data context 36 Show data context 35 Show data context 29 Show data context 23 Show data context 99 Show data context 141 Show data context 130 Show data context 113 Show data context 66 Show data context 28 Show data context
Food, Drink 1 Show data context 6 Show data context 20 Show data context 44 Show data context 47 Show data context 52 Show data context 53 Show data context 50 Show data context 205 Show data context 360 Show data context 360 Show data context 276 Show data context 236 Show data context 228 Show data context
Gas, Water 0 Show data context 14 Show data context 68 Show data context 158 Show data context 173 Show data context 170 Show data context 172 Show data context 161 Show data context 832 Show data context 1,290 Show data context 1,191 Show data context 837 Show data context 472 Show data context 251 Show data context
Other and Undefined 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 26 Show data context 92 Show data context 102 Show data context 73 Show data context 39 Show data context 29 Show data context
Unoccupied 11 Show data context 16 Show data context 44 Show data context 46 Show data context 69 Show data context 85 Show data context 78 Show data context 73 Show data context 427 Show data context 786 Show data context 860 Show data context 669 Show data context 537 Show data context 458 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 2 Show data context 4 Show data context 9 Show data context 11 Show data context 16 Show data context 8 Show data context 53 Show data context 116 Show data context 72 Show data context 62 Show data context 30 Show data context 26 Show data context
Defence
Professional Occupations 0 Show data context 0 Show data context 1 Show data context 7 Show data context 11 Show data context 31 Show data context 49 Show data context 61 Show data context 477 Show data context 668 Show data context 362 Show data context 276 Show data context 136 Show data context 88 Show data context
Domestic Services 5 Show data context 105 Show data context 559 Show data context 834 Show data context 975 Show data context 992 Show data context 927 Show data context 886 Show data context 3,237 Show data context 2,651 Show data context 1,398 Show data context 1,065 Show data context 712 Show data context 446 Show data context
Commercial Occupations 0 Show data context 0 Show data context 2 Show data context 7 Show data context 8 Show data context 18 Show data context 17 Show data context 13 Show data context 62 Show data context 63 Show data context 18 Show data context 8 Show data context 8 Show data context 5 Show data context
Transport 0 Show data context 0 Show data context 3 Show data context 2 Show data context 0 Show data context 1 Show data context 3 Show data context 1 Show data context 10 Show data context 4 Show data context 13 Show data context 13 Show data context 11 Show data context 7 Show data context
Agriculture 1 Show data context 6 Show data context 30 Show data context 81 Show data context 78 Show data context 99 Show data context 104 Show data context 90 Show data context 419 Show data context 471 Show data context 204 Show data context 194 Show data context 187 Show data context 289 Show data context
Mines and Quarries
Metals, Machines 0 Show data context 0 Show data context 0 Show data context 2 Show data context 4 Show data context 2 Show data context 2 Show data context 4 Show data context 4 Show data context 5 Show data context 3 Show data context 9 Show data context 6 Show data context 3 Show data context
Jewelry, Instruments 0 Show data context 0 Show data context 2 Show data context 2 Show data context 2 Show data context 5 Show data context 9 Show data context 7 Show data context 23 Show data context 11 Show data context 5 Show data context 6 Show data context 1 Show data context 7 Show data context
Building 0 Show data context 0 Show data context 0 Show data context 6 Show data context 2 Show data context 2 Show data context 4 Show data context 1 Show data context 10 Show data context 6 Show data context 10 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 2 Show data context 5 Show data context 2 Show data context
Brick, Cement 0 Show data context 0 Show data context 0 Show data context 1 Show data context 0 Show data context 2 Show data context 2 Show data context 3 Show data context 10 Show data context 13 Show data context 8 Show data context 12 Show data context 11 Show data context 9 Show data context
Chemicals 0 Show data context 5 Show data context 15 Show data context 14 Show data context 18 Show data context 18 Show data context 23 Show data context 9 Show data context 53 Show data context 65 Show data context 32 Show data context 20 Show data context 12 Show data context 9 Show data context
Skins, Leather 0 Show data context 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 2 Show data context 2 Show data context 1 Show data context 1 Show data context 2 Show data context 0 Show data context
Paper, Prints 0 Show data context 0 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 2 Show data context 4 Show data context 4 Show data context 5 Show data context 2 Show data context 4 Show data context
Textile Fabrics 0 Show data context 2 Show data context 7 Show data context 13 Show data context 11 Show data context 18 Show data context 13 Show data context 18 Show data context 37 Show data context 34 Show data context 24 Show data context 19 Show data context 8 Show data context 6 Show data context
Dress 1 Show data context 3 Show data context 25 Show data context 52 Show data context 53 Show data context 26 Show data context 43 Show data context 23 Show data context 147 Show data context 174 Show data context 75 Show data context 46 Show data context 25 Show data context 8 Show data context
Food, Drink 0 Show data context 8 Show data context 72 Show data context 128 Show data context 168 Show data context 172 Show data context 126 Show data context 129 Show data context 506 Show data context 544 Show data context 347 Show data context 249 Show data context 136 Show data context 83 Show data context
Gas, Water 0 Show data context 4 Show data context 37 Show data context 44 Show data context 46 Show data context 52 Show data context 58 Show data context 85 Show data context 385 Show data context 501 Show data context 475 Show data context 498 Show data context 325 Show data context 245 Show data context
Other and Undefined
Unoccupied 0 Show data context 0 Show data context 6 Show data context 8 Show data context 15 Show data context 20 Show data context 11 Show data context 11 Show data context 55 Show data context 60 Show data context 70 Show data context 45 Show data context 49 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, Shropshire 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/10173036/cube/OCC_ORD1911_AGESEX

Date accessed: 24th August 2019