Persons Aged over 10 by Sex, Age & 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 4 Show data context 149 Show data context 307 Show data context 236 Show data context 212 Show data context 184 Show data context 191 Show data context 187 Show data context 1,539 Show data context 4,747 Show data context 3,753 Show data context 1,991 Show data context 806 Show data context 368 Show data context
Defence 0 Show data context 0 Show data context 7 Show data context 12 Show data context 20 Show data context 90 Show data context 283 Show data context 371 Show data context 1,597 Show data context 1,103 Show data context 494 Show data context 89 Show data context 32 Show data context 29 Show data context
Professional Occupations 5 Show data context 75 Show data context 150 Show data context 264 Show data context 327 Show data context 389 Show data context 489 Show data context 481 Show data context 2,907 Show data context 6,554 Show data context 5,695 Show data context 4,318 Show data context 2,207 Show data context 942 Show data context
Domestic Services 6 Show data context 62 Show data context 165 Show data context 258 Show data context 264 Show data context 288 Show data context 322 Show data context 334 Show data context 1,923 Show data context 4,385 Show data context 3,871 Show data context 2,845 Show data context 1,966 Show data context 921 Show data context
Commercial Occupations 0 Show data context 121 Show data context 531 Show data context 967 Show data context 1,445 Show data context 1,630 Show data context 1,610 Show data context 1,631 Show data context 7,010 Show data context 13,111 Show data context 9,904 Show data context 6,167 Show data context 3,349 Show data context 1,311 Show data context
Transport 499 Show data context 4,272 Show data context 4,571 Show data context 3,007 Show data context 2,010 Show data context 1,680 Show data context 1,733 Show data context 1,756 Show data context 10,620 Show data context 25,955 Show data context 20,639 Show data context 13,084 Show data context 7,097 Show data context 1,830 Show data context
Agriculture 39 Show data context 465 Show data context 903 Show data context 1,156 Show data context 1,309 Show data context 1,342 Show data context 1,279 Show data context 1,170 Show data context 5,358 Show data context 8,782 Show data context 8,425 Show data context 7,456 Show data context 5,753 Show data context 4,031 Show data context
Mines & Quarries
Metals, Machines 15 Show data context 1,818 Show data context 3,948 Show data context 4,362 Show data context 4,655 Show data context 4,758 Show data context 4,811 Show data context 4,493 Show data context 21,054 Show data context 39,730 Show data context 31,056 Show data context 19,056 Show data context 9,866 Show data context 2,744 Show data context
Jewelry, Instruments 26 Show data context 1,202 Show data context 2,924 Show data context 4,256 Show data context 5,137 Show data context 5,417 Show data context 5,727 Show data context 5,515 Show data context 25,054 Show data context 47,981 Show data context 38,466 Show data context 25,055 Show data context 14,472 Show data context 5,062 Show data context
Building 0 Show data context 31 Show data context 93 Show data context 114 Show data context 130 Show data context 151 Show data context 159 Show data context 133 Show data context 748 Show data context 1,351 Show data context 1,147 Show data context 782 Show data context 484 Show data context 194 Show data context
Wood, Furniture 2 Show data context 155 Show data context 490 Show data context 721 Show data context 918 Show data context 986 Show data context 1,055 Show data context 1,024 Show data context 6,962 Show data context 20,171 Show data context 15,823 Show data context 13,265 Show data context 8,599 Show data context 3,094 Show data context
Brick, Cement 26 Show data context 205 Show data context 340 Show data context 420 Show data context 479 Show data context 473 Show data context 452 Show data context 444 Show data context 2,325 Show data context 4,857 Show data context 3,645 Show data context 2,748 Show data context 1,704 Show data context 809 Show data context
Chemicals 4 Show data context 362 Show data context 599 Show data context 605 Show data context 627 Show data context 513 Show data context 462 Show data context 414 Show data context 1,792 Show data context 3,300 Show data context 2,752 Show data context 1,719 Show data context 962 Show data context 331 Show data context
Skins, Leather 7 Show data context 52 Show data context 77 Show data context 112 Show data context 183 Show data context 181 Show data context 198 Show data context 201 Show data context 909 Show data context 2,158 Show data context 1,831 Show data context 1,207 Show data context 709 Show data context 262 Show data context
Paper, Prints 11 Show data context 64 Show data context 106 Show data context 131 Show data context 194 Show data context 199 Show data context 191 Show data context 191 Show data context 912 Show data context 1,772 Show data context 1,704 Show data context 1,285 Show data context 853 Show data context 385 Show data context
Textile Fabrics 10 Show data context 196 Show data context 379 Show data context 425 Show data context 476 Show data context 501 Show data context 419 Show data context 415 Show data context 2,058 Show data context 3,385 Show data context 2,818 Show data context 1,771 Show data context 888 Show data context 362 Show data context
Dress 2,999 Show data context 4,946 Show data context 5,651 Show data context 5,070 Show data context 4,771 Show data context 4,759 Show data context 4,533 Show data context 4,112 Show data context 18,029 Show data context 28,514 Show data context 26,283 Show data context 19,374 Show data context 11,580 Show data context 4,056 Show data context
Food, Drink 120 Show data context 472 Show data context 740 Show data context 930 Show data context 1,062 Show data context 1,063 Show data context 1,108 Show data context 978 Show data context 4,630 Show data context 8,460 Show data context 7,270 Show data context 5,053 Show data context 2,865 Show data context 1,532 Show data context
Gas, Water 28 Show data context 502 Show data context 1,083 Show data context 1,435 Show data context 1,727 Show data context 1,773 Show data context 1,828 Show data context 1,712 Show data context 7,762 Show data context 15,558 Show data context 14,565 Show data context 10,098 Show data context 5,947 Show data context 2,354 Show data context
Other & Undefined 0 Show data context 5 Show data context 25 Show data context 29 Show data context 51 Show data context 74 Show data context 70 Show data context 82 Show data context 602 Show data context 2,201 Show data context 2,878 Show data context 2,393 Show data context 1,592 Show data context 630 Show data context
Unoccupied 383 Show data context 363 Show data context 435 Show data context 533 Show data context 727 Show data context 832 Show data context 819 Show data context 773 Show data context 4,285 Show data context 10,327 Show data context 10,243 Show data context 8,197 Show data context 5,530 Show data context 2,559 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 2 Show data context 5 Show data context 16 Show data context 35 Show data context 65 Show data context 74 Show data context 86 Show data context 544 Show data context 946 Show data context 503 Show data context 291 Show data context 127 Show data context 35 Show data context
Defence
Professional Occupations 2 Show data context 7 Show data context 33 Show data context 73 Show data context 150 Show data context 358 Show data context 644 Show data context 642 Show data context 5,509 Show data context 7,941 Show data context 3,790 Show data context 2,229 Show data context 1,283 Show data context 469 Show data context
Domestic Services 35 Show data context 931 Show data context 2,440 Show data context 3,626 Show data context 4,609 Show data context 5,195 Show data context 5,669 Show data context 5,274 Show data context 20,683 Show data context 18,560 Show data context 11,271 Show data context 8,790 Show data context 5,561 Show data context 2,078 Show data context
Commercial Occupations 2 Show data context 57 Show data context 206 Show data context 381 Show data context 519 Show data context 573 Show data context 663 Show data context 584 Show data context 2,307 Show data context 1,702 Show data context 430 Show data context 148 Show data context 58 Show data context 32 Show data context
Transport 45 Show data context 472 Show data context 462 Show data context 282 Show data context 150 Show data context 117 Show data context 102 Show data context 108 Show data context 326 Show data context 226 Show data context 112 Show data context 77 Show data context 72 Show data context 27 Show data context
Agriculture 5 Show data context 46 Show data context 126 Show data context 214 Show data context 175 Show data context 194 Show data context 203 Show data context 201 Show data context 846 Show data context 901 Show data context 467 Show data context 395 Show data context 391 Show data context 408 Show data context
Mines & Quarries
Metals, Machines 0 Show data context 0 Show data context 0 Show data context 2 Show data context 2 Show data context 7 Show data context 1 Show data context 6 Show data context 17 Show data context 18 Show data context 29 Show data context 42 Show data context 42 Show data context 20 Show data context
Jewelry, Instruments 11 Show data context 322 Show data context 736 Show data context 942 Show data context 1,009 Show data context 960 Show data context 1,016 Show data context 830 Show data context 2,850 Show data context 2,016 Show data context 823 Show data context 642 Show data context 341 Show data context 124 Show data context
Building 0 Show data context 39 Show data context 63 Show data context 86 Show data context 84 Show data context 100 Show data context 97 Show data context 87 Show data context 276 Show data context 247 Show data context 101 Show data context 56 Show data context 36 Show data context 24 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 1 Show data context 0 Show data context 2 Show data context 3 Show data context 11 Show data context 23 Show data context 27 Show data context 15 Show data context
Brick, Cement 4 Show data context 96 Show data context 144 Show data context 183 Show data context 170 Show data context 200 Show data context 184 Show data context 151 Show data context 563 Show data context 503 Show data context 279 Show data context 178 Show data context 111 Show data context 61 Show data context
Chemicals 0 Show data context 19 Show data context 48 Show data context 71 Show data context 98 Show data context 110 Show data context 80 Show data context 78 Show data context 204 Show data context 147 Show data context 90 Show data context 69 Show data context 44 Show data context 24 Show data context
Skins, Leather 8 Show data context 71 Show data context 110 Show data context 118 Show data context 138 Show data context 125 Show data context 106 Show data context 120 Show data context 395 Show data context 295 Show data context 102 Show data context 51 Show data context 35 Show data context 15 Show data context
Paper, Prints 10 Show data context 40 Show data context 66 Show data context 91 Show data context 90 Show data context 79 Show data context 101 Show data context 68 Show data context 280 Show data context 263 Show data context 126 Show data context 87 Show data context 52 Show data context 23 Show data context
Textile Fabrics 22 Show data context 446 Show data context 675 Show data context 669 Show data context 650 Show data context 625 Show data context 553 Show data context 520 Show data context 2,005 Show data context 1,414 Show data context 501 Show data context 276 Show data context 150 Show data context 70 Show data context
Dress 2,870 Show data context 5,896 Show data context 7,794 Show data context 8,118 Show data context 8,143 Show data context 8,386 Show data context 8,453 Show data context 7,818 Show data context 33,083 Show data context 35,631 Show data context 18,512 Show data context 9,953 Show data context 3,694 Show data context 806 Show data context
Food, Drink 100 Show data context 1,420 Show data context 2,561 Show data context 3,261 Show data context 3,594 Show data context 3,521 Show data context 3,510 Show data context 3,265 Show data context 13,995 Show data context 14,004 Show data context 6,787 Show data context 3,574 Show data context 1,701 Show data context 710 Show data context
Gas, Water 22 Show data context 241 Show data context 754 Show data context 970 Show data context 1,127 Show data context 1,122 Show data context 1,262 Show data context 1,197 Show data context 4,887 Show data context 7,006 Show data context 6,454 Show data context 5,889 Show data context 3,866 Show data context 1,933 Show data context
Other & 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 1 Show data context 0 Show data context 0 Show data context 0 Show data context 0 Show data context 0 Show data context
Unoccupied 11 Show data context 130 Show data context 298 Show data context 323 Show data context 294 Show data context 321 Show data context 347 Show data context 286 Show data context 1,154 Show data context 1,488 Show data context 1,130 Show data context 870 Show data context 603 Show data context 321 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, West Riding AdmC through time | Industry Statistics | Persons Aged over 10 by Sex, Age & 1911 Occupational Order, A Vision of Britain through Time.

URL: https://www.visionofbritain.org.uk/unit/10200120/cube/OCC_ORD1911_AGESEX

Date accessed: 25th April 2024