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 11 Show data context 111 Show data context 110 Show data context 58 Show data context 48 Show data context 41 Show data context 37 Show data context 381 Show data context 1,116 Show data context 885 Show data context 526 Show data context 199 Show data context 82 Show data context
Defence 0 Show data context 1 Show data context 17 Show data context 24 Show data context 8 Show data context 13 Show data context 92 Show data context 99 Show data context 316 Show data context 338 Show data context 280 Show data context 173 Show data context 179 Show data context 307 Show data context
Professional Occupations 4 Show data context 6 Show data context 65 Show data context 99 Show data context 115 Show data context 139 Show data context 138 Show data context 111 Show data context 747 Show data context 1,704 Show data context 1,759 Show data context 1,542 Show data context 911 Show data context 544 Show data context
Domestic Services 17 Show data context 63 Show data context 231 Show data context 315 Show data context 351 Show data context 332 Show data context 375 Show data context 401 Show data context 1,794 Show data context 3,041 Show data context 2,181 Show data context 1,599 Show data context 973 Show data context 503 Show data context
Commercial Occupations 0 Show data context 7 Show data context 61 Show data context 127 Show data context 165 Show data context 152 Show data context 193 Show data context 207 Show data context 860 Show data context 1,616 Show data context 1,403 Show data context 958 Show data context 539 Show data context 257 Show data context
Transport 73 Show data context 145 Show data context 719 Show data context 809 Show data context 731 Show data context 491 Show data context 451 Show data context 386 Show data context 1,892 Show data context 4,075 Show data context 3,253 Show data context 2,515 Show data context 1,323 Show data context 453 Show data context
Agriculture 10 Show data context 119 Show data context 423 Show data context 568 Show data context 590 Show data context 598 Show data context 560 Show data context 496 Show data context 2,146 Show data context 3,739 Show data context 3,555 Show data context 3,379 Show data context 2,670 Show data context 2,007 Show data context
Mines and Quarries
Metals, Machines 0 Show data context 0 Show data context 6 Show data context 5 Show data context 4 Show data context 6 Show data context 7 Show data context 11 Show data context 50 Show data context 161 Show data context 174 Show data context 160 Show data context 87 Show data context 61 Show data context
Jewelry, Instruments 0 Show data context 6 Show data context 105 Show data context 199 Show data context 227 Show data context 259 Show data context 267 Show data context 253 Show data context 960 Show data context 2,017 Show data context 1,413 Show data context 961 Show data context 633 Show data context 257 Show data context
Building 0 Show data context 0 Show data context 17 Show data context 29 Show data context 32 Show data context 37 Show data context 30 Show data context 34 Show data context 154 Show data context 270 Show data context 238 Show data context 163 Show data context 99 Show data context 66 Show data context
Wood, Furniture 0 Show data context 5 Show data context 70 Show data context 139 Show data context 190 Show data context 214 Show data context 251 Show data context 227 Show data context 1,434 Show data context 4,227 Show data context 3,693 Show data context 3,222 Show data context 2,145 Show data context 982 Show data context
Brick, Cement 0 Show data context 4 Show data context 36 Show data context 47 Show data context 88 Show data context 63 Show data context 64 Show data context 55 Show data context 324 Show data context 679 Show data context 602 Show data context 563 Show data context 362 Show data context 175 Show data context
Chemicals 0 Show data context 1 Show data context 7 Show data context 10 Show data context 16 Show data context 9 Show data context 13 Show data context 14 Show data context 90 Show data context 248 Show data context 211 Show data context 155 Show data context 101 Show data context 46 Show data context
Skins, Leather 0 Show data context 1 Show data context 12 Show data context 25 Show data context 25 Show data context 32 Show data context 23 Show data context 31 Show data context 116 Show data context 215 Show data context 175 Show data context 132 Show data context 63 Show data context 41 Show data context
Paper, Prints 0 Show data context 0 Show data context 4 Show data context 3 Show data context 5 Show data context 6 Show data context 8 Show data context 6 Show data context 46 Show data context 98 Show data context 79 Show data context 93 Show data context 71 Show data context 21 Show data context
Textile Fabrics 0 Show data context 6 Show data context 57 Show data context 60 Show data context 94 Show data context 75 Show data context 89 Show data context 72 Show data context 248 Show data context 417 Show data context 426 Show data context 259 Show data context 156 Show data context 75 Show data context
Dress 0 Show data context 1 Show data context 20 Show data context 38 Show data context 58 Show data context 54 Show data context 52 Show data context 36 Show data context 203 Show data context 292 Show data context 261 Show data context 153 Show data context 99 Show data context 60 Show data context
Food, Drink 2 Show data context 10 Show data context 60 Show data context 112 Show data context 109 Show data context 136 Show data context 115 Show data context 123 Show data context 522 Show data context 1,009 Show data context 871 Show data context 609 Show data context 392 Show data context 296 Show data context
Gas, Water 2 Show data context 23 Show data context 207 Show data context 380 Show data context 498 Show data context 577 Show data context 601 Show data context 618 Show data context 2,566 Show data context 4,164 Show data context 3,530 Show data context 2,503 Show data context 1,382 Show data context 634 Show data context
Other and Undefined 0 Show data context 0 Show data context 1 Show data context 6 Show data context 9 Show data context 16 Show data context 10 Show data context 12 Show data context 104 Show data context 348 Show data context 454 Show data context 307 Show data context 182 Show data context 89 Show data context
Unoccupied 100 Show data context 92 Show data context 94 Show data context 109 Show data context 131 Show data context 147 Show data context 166 Show data context 159 Show data context 780 Show data context 1,763 Show data context 1,671 Show data context 1,411 Show data context 968 Show data context 571 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 10 Show data context 15 Show data context 28 Show data context 20 Show data context 148 Show data context 228 Show data context 114 Show data context 77 Show data context 24 Show data context 13 Show data context
Defence
Professional Occupations 1 Show data context 2 Show data context 26 Show data context 47 Show data context 51 Show data context 91 Show data context 148 Show data context 154 Show data context 1,175 Show data context 2,526 Show data context 1,923 Show data context 1,270 Show data context 646 Show data context 308 Show data context
Domestic Services 6 Show data context 109 Show data context 788 Show data context 1,483 Show data context 2,017 Show data context 2,196 Show data context 2,382 Show data context 2,376 Show data context 10,580 Show data context 11,244 Show data context 6,588 Show data context 4,730 Show data context 2,702 Show data context 1,166 Show data context
Commercial Occupations 0 Show data context 0 Show data context 20 Show data context 46 Show data context 83 Show data context 118 Show data context 126 Show data context 104 Show data context 498 Show data context 479 Show data context 140 Show data context 59 Show data context 22 Show data context 3 Show data context
Transport 2 Show data context 1 Show data context 3 Show data context 4 Show data context 7 Show data context 6 Show data context 15 Show data context 12 Show data context 56 Show data context 36 Show data context 14 Show data context 21 Show data context 16 Show data context 8 Show data context
Agriculture 0 Show data context 4 Show data context 13 Show data context 29 Show data context 34 Show data context 26 Show data context 21 Show data context 26 Show data context 97 Show data context 126 Show data context 104 Show data context 70 Show data context 71 Show data context 59 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 1 Show data context 0 Show data context 0 Show data context 2 Show data context 10 Show data context 7 Show data context 5 Show data context 2 Show data context 3 Show data context
Jewelry, Instruments 0 Show data context 0 Show data context 1 Show data context 1 Show data context 0 Show data context 2 Show data context 1 Show data context 4 Show data context 7 Show data context 19 Show data context 14 Show data context 13 Show data context 5 Show data context 4 Show data context
Building 0 Show data context 0 Show data context 4 Show data context 5 Show data context 6 Show data context 8 Show data context 7 Show data context 5 Show data context 21 Show data context 47 Show data context 26 Show data context 10 Show data context 12 Show data context 6 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 1 Show data context 4 Show data context 3 Show data context
Brick, Cement 0 Show data context 0 Show data context 2 Show data context 6 Show data context 9 Show data context 7 Show data context 7 Show data context 7 Show data context 30 Show data context 38 Show data context 48 Show data context 41 Show data context 37 Show data context 21 Show data context
Chemicals 0 Show data context 0 Show data context 3 Show data context 3 Show data context 4 Show data context 4 Show data context 3 Show data context 2 Show data context 15 Show data context 21 Show data context 11 Show data context 1 Show data context 2 Show data context 1 Show data context
Skins, Leather 0 Show data context 2 Show data context 14 Show data context 13 Show data context 15 Show data context 15 Show data context 10 Show data context 14 Show data context 38 Show data context 28 Show data context 12 Show data context 9 Show data context 5 Show data context 2 Show data context
Paper, Prints 0 Show data context 0 Show data context 2 Show data context 1 Show data context 0 Show data context 4 Show data context 2 Show data context 0 Show data context 14 Show data context 11 Show data context 10 Show data context 11 Show data context 11 Show data context 6 Show data context
Textile Fabrics 0 Show data context 0 Show data context 16 Show data context 29 Show data context 48 Show data context 30 Show data context 31 Show data context 39 Show data context 158 Show data context 163 Show data context 91 Show data context 52 Show data context 34 Show data context 20 Show data context
Dress 0 Show data context 1 Show data context 49 Show data context 66 Show data context 81 Show data context 101 Show data context 109 Show data context 117 Show data context 496 Show data context 460 Show data context 205 Show data context 105 Show data context 46 Show data context 29 Show data context
Food, Drink 0 Show data context 10 Show data context 200 Show data context 374 Show data context 421 Show data context 394 Show data context 399 Show data context 384 Show data context 1,661 Show data context 1,827 Show data context 1,168 Show data context 830 Show data context 575 Show data context 374 Show data context
Gas, Water 1 Show data context 4 Show data context 42 Show data context 91 Show data context 123 Show data context 143 Show data context 161 Show data context 181 Show data context 821 Show data context 1,581 Show data context 1,736 Show data context 1,865 Show data context 1,298 Show data context 695 Show data context
Other and Undefined
Unoccupied 0 Show data context 2 Show data context 19 Show data context 32 Show data context 38 Show data context 47 Show data context 50 Show data context 36 Show data context 179 Show data context 227 Show data context 187 Show data context 151 Show data context 111 Show data context 63 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, East Sussex 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/10186109/cube/OCC_ORD1911_AGESEX

Date accessed: 06th August 2020