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 2 Show data context 37 Show data context 50 Show data context 23 Show data context 23 Show data context 33 Show data context 21 Show data context 186 Show data context 457 Show data context 398 Show data context 272 Show data context 99 Show data context 50 Show data context
Defence 0 Show data context 0 Show data context 5 Show data context 15 Show data context 30 Show data context 42 Show data context 280 Show data context 549 Show data context 1,553 Show data context 1,086 Show data context 360 Show data context 55 Show data context 30 Show data context 20 Show data context
Professional Occupations 11 Show data context 4 Show data context 10 Show data context 24 Show data context 24 Show data context 37 Show data context 53 Show data context 43 Show data context 236 Show data context 542 Show data context 528 Show data context 473 Show data context 327 Show data context 155 Show data context
Domestic Services 3 Show data context 26 Show data context 102 Show data context 153 Show data context 161 Show data context 181 Show data context 148 Show data context 154 Show data context 735 Show data context 1,356 Show data context 1,059 Show data context 801 Show data context 436 Show data context 187 Show data context
Commercial Occupations 0 Show data context 1 Show data context 27 Show data context 39 Show data context 52 Show data context 52 Show data context 73 Show data context 62 Show data context 326 Show data context 628 Show data context 446 Show data context 257 Show data context 139 Show data context 66 Show data context
Transport 39 Show data context 153 Show data context 467 Show data context 402 Show data context 319 Show data context 255 Show data context 222 Show data context 178 Show data context 1,032 Show data context 2,152 Show data context 1,747 Show data context 1,199 Show data context 649 Show data context 145 Show data context
Agriculture 31 Show data context 394 Show data context 739 Show data context 751 Show data context 793 Show data context 772 Show data context 684 Show data context 647 Show data context 2,802 Show data context 4,724 Show data context 4,317 Show data context 4,080 Show data context 2,893 Show data context 2,059 Show data context
Mines and Quarries
Metals, Machines 0 Show data context 0 Show data context 6 Show data context 5 Show data context 20 Show data context 15 Show data context 11 Show data context 18 Show data context 112 Show data context 284 Show data context 237 Show data context 218 Show data context 157 Show data context 85 Show data context
Jewelry, Instruments 1 Show data context 2 Show data context 148 Show data context 298 Show data context 429 Show data context 435 Show data context 478 Show data context 481 Show data context 1,778 Show data context 3,494 Show data context 3,077 Show data context 2,090 Show data context 1,125 Show data context 321 Show data context
Building 0 Show data context 0 Show data context 6 Show data context 5 Show data context 9 Show data context 7 Show data context 7 Show data context 3 Show data context 31 Show data context 55 Show data context 49 Show data context 43 Show data context 24 Show data context 19 Show data context
Wood, Furniture 0 Show data context 4 Show data context 45 Show data context 93 Show data context 110 Show data context 132 Show data context 129 Show data context 142 Show data context 779 Show data context 2,016 Show data context 1,649 Show data context 1,334 Show data context 943 Show data context 493 Show data context
Brick, Cement 0 Show data context 5 Show data context 20 Show data context 35 Show data context 48 Show data context 40 Show data context 51 Show data context 39 Show data context 144 Show data context 325 Show data context 289 Show data context 252 Show data context 162 Show data context 95 Show data context
Chemicals 0 Show data context 0 Show data context 1 Show data context 4 Show data context 5 Show data context 7 Show data context 5 Show data context 4 Show data context 19 Show data context 63 Show data context 52 Show data context 27 Show data context 27 Show data context 11 Show data context
Skins, Leather 0 Show data context 0 Show data context 34 Show data context 25 Show data context 38 Show data context 51 Show data context 41 Show data context 37 Show data context 196 Show data context 271 Show data context 159 Show data context 101 Show data context 45 Show data context 17 Show data context
Paper, Prints 0 Show data context 0 Show data context 11 Show data context 24 Show data context 25 Show data context 21 Show data context 25 Show data context 23 Show data context 99 Show data context 173 Show data context 152 Show data context 128 Show data context 74 Show data context 33 Show data context
Textile Fabrics 1 Show data context 4 Show data context 21 Show data context 34 Show data context 38 Show data context 34 Show data context 30 Show data context 36 Show data context 86 Show data context 134 Show data context 105 Show data context 64 Show data context 51 Show data context 20 Show data context
Dress 0 Show data context 2 Show data context 41 Show data context 40 Show data context 41 Show data context 34 Show data context 49 Show data context 28 Show data context 149 Show data context 205 Show data context 260 Show data context 209 Show data context 190 Show data context 106 Show data context
Food, Drink 4 Show data context 10 Show data context 51 Show data context 85 Show data context 96 Show data context 102 Show data context 66 Show data context 83 Show data context 290 Show data context 492 Show data context 411 Show data context 275 Show data context 201 Show data context 167 Show data context
Gas, Water 1 Show data context 10 Show data context 95 Show data context 184 Show data context 241 Show data context 224 Show data context 246 Show data context 215 Show data context 873 Show data context 1,574 Show data context 1,464 Show data context 1,012 Show data context 587 Show data context 288 Show data context
Other and Undefined 0 Show data context 0 Show data context 1 Show data context 7 Show data context 4 Show data context 3 Show data context 5 Show data context 3 Show data context 26 Show data context 141 Show data context 131 Show data context 110 Show data context 53 Show data context 23 Show data context
Unoccupied 13 Show data context 41 Show data context 67 Show data context 74 Show data context 86 Show data context 97 Show data context 83 Show data context 79 Show data context 412 Show data context 980 Show data context 986 Show data context 904 Show data context 595 Show data context 430 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 13 Show data context 16 Show data context 21 Show data context 6 Show data context 76 Show data context 127 Show data context 91 Show data context 45 Show data context 37 Show data context 17 Show data context
Defence
Professional Occupations 1 Show data context 0 Show data context 4 Show data context 9 Show data context 15 Show data context 43 Show data context 67 Show data context 55 Show data context 551 Show data context 905 Show data context 487 Show data context 361 Show data context 178 Show data context 71 Show data context
Domestic Services 12 Show data context 69 Show data context 480 Show data context 781 Show data context 902 Show data context 872 Show data context 854 Show data context 828 Show data context 3,254 Show data context 2,638 Show data context 1,396 Show data context 1,171 Show data context 773 Show data context 410 Show data context
Commercial Occupations 0 Show data context 1 Show data context 5 Show data context 11 Show data context 23 Show data context 23 Show data context 21 Show data context 24 Show data context 82 Show data context 94 Show data context 21 Show data context 20 Show data context 5 Show data context 1 Show data context
Transport 1 Show data context 1 Show data context 4 Show data context 6 Show data context 9 Show data context 2 Show data context 0 Show data context 1 Show data context 5 Show data context 7 Show data context 9 Show data context 10 Show data context 5 Show data context 4 Show data context
Agriculture 0 Show data context 2 Show data context 11 Show data context 16 Show data context 31 Show data context 36 Show data context 31 Show data context 44 Show data context 167 Show data context 160 Show data context 99 Show data context 94 Show data context 86 Show data context 94 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 1 Show data context 0 Show data context 1 Show data context 3 Show data context 3 Show data context 7 Show data context 1 Show data context 6 Show data context
Jewelry, Instruments 0 Show data context 0 Show data context 4 Show data context 5 Show data context 6 Show data context 2 Show data context 5 Show data context 5 Show data context 24 Show data context 19 Show data context 14 Show data context 7 Show data context 6 Show data context 3 Show data context
Building 0 Show data context 0 Show data context 4 Show data context 2 Show data context 0 Show data context 4 Show data context 3 Show data context 4 Show data context 6 Show data context 8 Show data context 8 Show data context 3 Show data context 4 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 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 6 Show data context 3 Show data context 10 Show data context 12 Show data context 40 Show data context 43 Show data context 28 Show data context 15 Show data context 12 Show data context 5 Show data context
Chemicals 0 Show data context 0 Show data context 1 Show data context 1 Show data context 1 Show data context 4 Show data context 2 Show data context 0 Show data context 5 Show data context 7 Show data context 2 Show data context 4 Show data context 2 Show data context 2 Show data context
Skins, Leather 0 Show data context 1 Show data context 5 Show data context 10 Show data context 7 Show data context 7 Show data context 16 Show data context 12 Show data context 44 Show data context 20 Show data context 8 Show data context 5 Show data context 1 Show data context 0 Show data context
Paper, Prints 0 Show data context 0 Show data context 11 Show data context 6 Show data context 12 Show data context 13 Show data context 18 Show data context 8 Show data context 35 Show data context 14 Show data context 8 Show data context 5 Show data context 4 Show data context 5 Show data context
Textile Fabrics 0 Show data context 1 Show data context 6 Show data context 10 Show data context 7 Show data context 12 Show data context 16 Show data context 10 Show data context 39 Show data context 41 Show data context 31 Show data context 26 Show data context 10 Show data context 4 Show data context
Dress 0 Show data context 8 Show data context 63 Show data context 107 Show data context 110 Show data context 125 Show data context 112 Show data context 104 Show data context 430 Show data context 307 Show data context 179 Show data context 180 Show data context 107 Show data context 27 Show data context
Food, Drink 0 Show data context 18 Show data context 183 Show data context 332 Show data context 344 Show data context 392 Show data context 376 Show data context 312 Show data context 1,119 Show data context 890 Show data context 503 Show data context 353 Show data context 197 Show data context 133 Show data context
Gas, Water 0 Show data context 2 Show data context 28 Show data context 51 Show data context 58 Show data context 66 Show data context 81 Show data context 80 Show data context 370 Show data context 549 Show data context 462 Show data context 436 Show data context 338 Show data context 186 Show data context
Other and Undefined
Unoccupied 0 Show data context 3 Show data context 6 Show data context 8 Show data context 12 Show data context 11 Show data context 16 Show data context 8 Show data context 59 Show data context 63 Show data context 68 Show data context 67 Show data context 65 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, Wiltshire 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/10107386/cube/OCC_ORD1911_AGESEX

Date accessed: 10th July 2020