Persons Aged over 10 by Sex, Age and 1911 Occupational Order

No chart.

No chart.

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 2 Show data context 46 Show data context 141 Show data context 123 Show data context 96 Show data context 75 Show data context 73 Show data context 75 Show data context 667 Show data context 1,637 Show data context 1,262 Show data context 665 Show data context 248 Show data context 104 Show data context
Defence 0 Show data context 0 Show data context 2 Show data context 4 Show data context 15 Show data context 92 Show data context 170 Show data context 256 Show data context 672 Show data context 588 Show data context 283 Show data context 32 Show data context 12 Show data context 10 Show data context
Professional Occupations 7 Show data context 25 Show data context 66 Show data context 109 Show data context 136 Show data context 179 Show data context 216 Show data context 216 Show data context 1,125 Show data context 2,307 Show data context 2,014 Show data context 1,523 Show data context 768 Show data context 340 Show data context
Domestic Services 2 Show data context 58 Show data context 156 Show data context 149 Show data context 195 Show data context 194 Show data context 185 Show data context 189 Show data context 931 Show data context 1,835 Show data context 1,497 Show data context 1,025 Show data context 670 Show data context 353 Show data context
Commercial Occupations 0 Show data context 58 Show data context 302 Show data context 468 Show data context 656 Show data context 664 Show data context 643 Show data context 654 Show data context 3,035 Show data context 5,333 Show data context 3,861 Show data context 2,317 Show data context 1,261 Show data context 518 Show data context
Transport 225 Show data context 1,439 Show data context 2,435 Show data context 1,513 Show data context 991 Show data context 761 Show data context 711 Show data context 771 Show data context 4,076 Show data context 8,984 Show data context 7,265 Show data context 4,586 Show data context 2,663 Show data context 899 Show data context
Agriculture 8 Show data context 269 Show data context 609 Show data context 732 Show data context 801 Show data context 716 Show data context 706 Show data context 660 Show data context 2,615 Show data context 4,181 Show data context 3,956 Show data context 3,443 Show data context 2,781 Show data context 2,134 Show data context
Mines and Quarries
Metals, Machines 0 Show data context 282 Show data context 1,162 Show data context 1,564 Show data context 1,860 Show data context 2,052 Show data context 2,096 Show data context 2,073 Show data context 9,153 Show data context 15,984 Show data context 12,709 Show data context 8,396 Show data context 4,708 Show data context 1,613 Show data context
Jewelry, Instruments 5 Show data context 697 Show data context 2,504 Show data context 3,417 Show data context 3,810 Show data context 3,711 Show data context 3,975 Show data context 3,622 Show data context 16,112 Show data context 27,484 Show data context 21,162 Show data context 14,676 Show data context 8,391 Show data context 3,342 Show data context
Building 0 Show data context 11 Show data context 124 Show data context 184 Show data context 182 Show data context 201 Show data context 179 Show data context 166 Show data context 737 Show data context 1,403 Show data context 1,026 Show data context 729 Show data context 415 Show data context 175 Show data context
Wood, Furniture 1 Show data context 65 Show data context 199 Show data context 327 Show data context 423 Show data context 471 Show data context 500 Show data context 507 Show data context 2,744 Show data context 7,153 Show data context 5,675 Show data context 4,516 Show data context 2,815 Show data context 1,314 Show data context
Brick, Cement 2 Show data context 50 Show data context 128 Show data context 166 Show data context 181 Show data context 194 Show data context 196 Show data context 183 Show data context 813 Show data context 1,706 Show data context 1,391 Show data context 1,041 Show data context 695 Show data context 344 Show data context
Chemicals 2 Show data context 757 Show data context 1,167 Show data context 1,231 Show data context 1,209 Show data context 1,259 Show data context 1,112 Show data context 999 Show data context 4,585 Show data context 8,026 Show data context 6,941 Show data context 4,355 Show data context 2,228 Show data context 726 Show data context
Skins, Leather 1 Show data context 7 Show data context 30 Show data context 45 Show data context 55 Show data context 76 Show data context 67 Show data context 80 Show data context 354 Show data context 820 Show data context 703 Show data context 376 Show data context 215 Show data context 123 Show data context
Paper, Prints 0 Show data context 8 Show data context 139 Show data context 186 Show data context 247 Show data context 208 Show data context 196 Show data context 177 Show data context 794 Show data context 1,579 Show data context 1,530 Show data context 1,048 Show data context 600 Show data context 338 Show data context
Textile Fabrics 2 Show data context 34 Show data context 135 Show data context 123 Show data context 149 Show data context 137 Show data context 151 Show data context 120 Show data context 508 Show data context 784 Show data context 700 Show data context 423 Show data context 218 Show data context 78 Show data context
Dress 29 Show data context 86 Show data context 131 Show data context 120 Show data context 147 Show data context 162 Show data context 158 Show data context 128 Show data context 581 Show data context 908 Show data context 836 Show data context 642 Show data context 349 Show data context 175 Show data context
Food, Drink 36 Show data context 112 Show data context 252 Show data context 324 Show data context 332 Show data context 353 Show data context 286 Show data context 279 Show data context 1,324 Show data context 2,507 Show data context 2,200 Show data context 1,503 Show data context 980 Show data context 691 Show data context
Gas, Water 2 Show data context 151 Show data context 504 Show data context 690 Show data context 820 Show data context 802 Show data context 793 Show data context 765 Show data context 3,452 Show data context 6,994 Show data context 6,341 Show data context 4,371 Show data context 2,506 Show data context 1,072 Show data context
Other and Undefined 0 Show data context 2 Show data context 11 Show data context 12 Show data context 16 Show data context 28 Show data context 33 Show data context 24 Show data context 211 Show data context 729 Show data context 884 Show data context 667 Show data context 390 Show data context 154 Show data context
Unoccupied 168 Show data context 174 Show data context 246 Show data context 300 Show data context 349 Show data context 329 Show data context 338 Show data context 329 Show data context 1,514 Show data context 3,513 Show data context 3,465 Show data context 2,838 Show data context 2,088 Show data context 1,075 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 3 Show data context 15 Show data context 34 Show data context 33 Show data context 37 Show data context 244 Show data context 396 Show data context 230 Show data context 111 Show data context 50 Show data context 22 Show data context
Defence
Professional Occupations 1 Show data context 3 Show data context 14 Show data context 38 Show data context 81 Show data context 219 Show data context 317 Show data context 318 Show data context 2,502 Show data context 3,219 Show data context 1,586 Show data context 987 Show data context 530 Show data context 231 Show data context
Domestic Services 15 Show data context 569 Show data context 1,709 Show data context 2,238 Show data context 2,492 Show data context 2,653 Show data context 2,641 Show data context 2,581 Show data context 9,390 Show data context 7,290 Show data context 4,023 Show data context 3,047 Show data context 1,892 Show data context 937 Show data context
Commercial Occupations 0 Show data context 17 Show data context 101 Show data context 240 Show data context 342 Show data context 381 Show data context 418 Show data context 382 Show data context 1,483 Show data context 1,069 Show data context 273 Show data context 92 Show data context 32 Show data context 8 Show data context
Transport 12 Show data context 39 Show data context 118 Show data context 80 Show data context 41 Show data context 41 Show data context 43 Show data context 37 Show data context 155 Show data context 111 Show data context 47 Show data context 39 Show data context 39 Show data context 19 Show data context
Agriculture 4 Show data context 22 Show data context 51 Show data context 103 Show data context 93 Show data context 108 Show data context 112 Show data context 101 Show data context 445 Show data context 413 Show data context 232 Show data context 217 Show data context 228 Show data context 240 Show data context
Mines and Quarries
Metals, Machines 0 Show data context 1 Show data context 0 Show data context 3 Show data context 4 Show data context 6 Show data context 4 Show data context 1 Show data context 12 Show data context 33 Show data context 53 Show data context 50 Show data context 45 Show data context 18 Show data context
Jewelry, Instruments 0 Show data context 108 Show data context 734 Show data context 1,120 Show data context 1,226 Show data context 1,298 Show data context 1,327 Show data context 1,183 Show data context 3,862 Show data context 2,401 Show data context 1,087 Show data context 624 Show data context 302 Show data context 103 Show data context
Building 0 Show data context 31 Show data context 180 Show data context 184 Show data context 172 Show data context 174 Show data context 143 Show data context 165 Show data context 482 Show data context 345 Show data context 93 Show data context 42 Show data context 26 Show data context 11 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 4 Show data context 5 Show data context 3 Show data context
Brick, Cement 1 Show data context 6 Show data context 20 Show data context 38 Show data context 48 Show data context 53 Show data context 48 Show data context 49 Show data context 169 Show data context 164 Show data context 104 Show data context 80 Show data context 46 Show data context 13 Show data context
Chemicals 0 Show data context 809 Show data context 1,433 Show data context 1,593 Show data context 1,639 Show data context 1,834 Show data context 1,786 Show data context 1,664 Show data context 6,149 Show data context 6,018 Show data context 2,929 Show data context 1,324 Show data context 478 Show data context 127 Show data context
Skins, Leather 0 Show data context 9 Show data context 30 Show data context 35 Show data context 39 Show data context 51 Show data context 58 Show data context 48 Show data context 247 Show data context 165 Show data context 65 Show data context 40 Show data context 17 Show data context 11 Show data context
Paper, Prints 0 Show data context 36 Show data context 289 Show data context 344 Show data context 370 Show data context 324 Show data context 292 Show data context 272 Show data context 970 Show data context 808 Show data context 328 Show data context 173 Show data context 69 Show data context 26 Show data context
Textile Fabrics 9 Show data context 62 Show data context 200 Show data context 200 Show data context 238 Show data context 203 Show data context 187 Show data context 166 Show data context 655 Show data context 422 Show data context 217 Show data context 131 Show data context 67 Show data context 35 Show data context
Dress 56 Show data context 147 Show data context 375 Show data context 374 Show data context 474 Show data context 522 Show data context 461 Show data context 420 Show data context 1,604 Show data context 1,609 Show data context 854 Show data context 622 Show data context 264 Show data context 115 Show data context
Food, Drink 10 Show data context 230 Show data context 958 Show data context 1,225 Show data context 1,332 Show data context 1,247 Show data context 1,287 Show data context 1,178 Show data context 4,465 Show data context 4,169 Show data context 2,104 Show data context 1,170 Show data context 622 Show data context 313 Show data context
Gas, Water 2 Show data context 38 Show data context 121 Show data context 203 Show data context 229 Show data context 295 Show data context 319 Show data context 352 Show data context 1,636 Show data context 2,770 Show data context 2,617 Show data context 2,144 Show data context 1,396 Show data context 828 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 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 0 Show data context
Unoccupied 2 Show data context 20 Show data context 117 Show data context 143 Show data context 170 Show data context 145 Show data context 168 Show data context 141 Show data context 462 Show data context 630 Show data context 572 Show data context 493 Show data context 351 Show data context 221 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'

This website exists to help people doing personal research projects on particular areas within a locality. So long as you are using our data for only a small number of units, you are not making money out of what you are doing, and you are not systematically re-publishing our data, you do not need to request permission from us, but you do need to acknowledge us as your source with the wording:

"This work is based on data provided through www.VisionofBritain.org.uk and uses historical material which is copyright of the Great Britain Historical GIS Project and the University of Portsmouth".

Where the above statement is included in a web page or similar online resource, the reference to "www.VisionofBritain.org.uk" must be a working hyperlink.

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, Staffordshire 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/10102390/cube/OCC_ORD1911_AGESEX

Date accessed: 17th November 2019