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
Professional Occupations
Domestic Services
Commercial Occupations 0 Show data context 3 Show data context 24 Show data context 37 Show data context 50 Show data context 48 Show data context 60 Show data context 58 Show data context 351 Show data context 717 Show data context 674 Show data context 531 Show data context 347 Show data context 198 Show data context
Transport 1 Show data context 16 Show data context 67 Show data context 80 Show data context 75 Show data context 99 Show data context 81 Show data context 75 Show data context 339 Show data context 640 Show data context 523 Show data context 407 Show data context 220 Show data context 135 Show data context
Agriculture 1 Show data context 3 Show data context 46 Show data context 98 Show data context 124 Show data context 139 Show data context 131 Show data context 125 Show data context 634 Show data context 1,090 Show data context 770 Show data context 461 Show data context 247 Show data context 112 Show data context
Mines and Quarries 45 Show data context 245 Show data context 597 Show data context 476 Show data context 375 Show data context 343 Show data context 362 Show data context 400 Show data context 2,129 Show data context 4,351 Show data context 3,403 Show data context 2,438 Show data context 1,417 Show data context 399 Show data context
Metals, Machines 19 Show data context 408 Show data context 758 Show data context 944 Show data context 958 Show data context 943 Show data context 952 Show data context 765 Show data context 3,430 Show data context 5,651 Show data context 5,112 Show data context 4,527 Show data context 3,532 Show data context 2,913 Show data context
Jewelry, Instruments
Building 0 Show data context 2 Show data context 5 Show data context 10 Show data context 14 Show data context 16 Show data context 24 Show data context 15 Show data context 192 Show data context 584 Show data context 517 Show data context 342 Show data context 189 Show data context 97 Show data context
Wood, Furniture 1 Show data context 27 Show data context 231 Show data context 390 Show data context 540 Show data context 541 Show data context 593 Show data context 627 Show data context 3,090 Show data context 5,907 Show data context 4,021 Show data context 2,682 Show data context 1,558 Show data context 527 Show data context
Brick, Cement 0 Show data context 1 Show data context 4 Show data context 9 Show data context 14 Show data context 7 Show data context 12 Show data context 14 Show data context 62 Show data context 88 Show data context 81 Show data context 64 Show data context 41 Show data context 23 Show data context
Chemicals 0 Show data context 7 Show data context 62 Show data context 125 Show data context 147 Show data context 184 Show data context 203 Show data context 174 Show data context 1,149 Show data context 2,709 Show data context 1,921 Show data context 1,749 Show data context 1,191 Show data context 690 Show data context
Skins, Leather 0 Show data context 5 Show data context 87 Show data context 93 Show data context 93 Show data context 91 Show data context 73 Show data context 69 Show data context 329 Show data context 637 Show data context 456 Show data context 338 Show data context 206 Show data context 107 Show data context
Paper, Prints 0 Show data context 2 Show data context 7 Show data context 17 Show data context 19 Show data context 28 Show data context 13 Show data context 17 Show data context 83 Show data context 225 Show data context 206 Show data context 135 Show data context 77 Show data context 52 Show data context
Textile Fabrics 0 Show data context 0 Show data context 5 Show data context 18 Show data context 25 Show data context 24 Show data context 40 Show data context 24 Show data context 143 Show data context 313 Show data context 239 Show data context 157 Show data context 81 Show data context 56 Show data context
Dress 0 Show data context 0 Show data context 5 Show data context 7 Show data context 12 Show data context 7 Show data context 5 Show data context 5 Show data context 57 Show data context 110 Show data context 108 Show data context 66 Show data context 61 Show data context 40 Show data context
Food, Drink 0 Show data context 8 Show data context 34 Show data context 51 Show data context 58 Show data context 44 Show data context 47 Show data context 35 Show data context 140 Show data context 296 Show data context 188 Show data context 106 Show data context 74 Show data context 29 Show data context
Gas, Water 0 Show data context 7 Show data context 44 Show data context 52 Show data context 45 Show data context 58 Show data context 34 Show data context 33 Show data context 107 Show data context 204 Show data context 196 Show data context 155 Show data context 111 Show data context 49 Show data context
Other and Undefined 8 Show data context 9 Show data context 43 Show data context 68 Show data context 96 Show data context 83 Show data context 81 Show data context 86 Show data context 354 Show data context 658 Show data context 567 Show data context 422 Show data context 335 Show data context 277 Show data context
Unoccupied 1 Show data context 18 Show data context 130 Show data context 294 Show data context 342 Show data context 364 Show data context 335 Show data context 285 Show data context 1,453 Show data context 2,540 Show data context 2,040 Show data context 1,511 Show data context 898 Show data context 447 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
Professional Occupations
Domestic Services
Commercial Occupations 0 Show data context 3 Show data context 21 Show data context 26 Show data context 38 Show data context 63 Show data context 94 Show data context 119 Show data context 676 Show data context 979 Show data context 450 Show data context 347 Show data context 188 Show data context 88 Show data context
Transport 7 Show data context 112 Show data context 577 Show data context 925 Show data context 1,090 Show data context 1,211 Show data context 1,235 Show data context 1,056 Show data context 3,742 Show data context 2,612 Show data context 1,329 Show data context 1,056 Show data context 667 Show data context 363 Show data context
Agriculture 0 Show data context 0 Show data context 4 Show data context 22 Show data context 29 Show data context 45 Show data context 39 Show data context 40 Show data context 147 Show data context 108 Show data context 28 Show data context 14 Show data context 7 Show data context 3 Show data context
Mines and Quarries 1 Show data context 3 Show data context 5 Show data context 3 Show data context 2 Show data context 2 Show data context 6 Show data context 3 Show data context 22 Show data context 22 Show data context 16 Show data context 13 Show data context 8 Show data context 6 Show data context
Metals, Machines 2 Show data context 9 Show data context 40 Show data context 57 Show data context 89 Show data context 66 Show data context 80 Show data context 73 Show data context 311 Show data context 332 Show data context 176 Show data context 131 Show data context 125 Show data context 155 Show data context
Jewelry, Instruments
Building 0 Show data context 0 Show data context 0 Show data context 2 Show data context 3 Show data context 3 Show data context 0 Show data context 0 Show data context 2 Show data context 1 Show data context 8 Show data context 2 Show data context 5 Show data context 3 Show data context
Wood, Furniture 0 Show data context 7 Show data context 18 Show data context 15 Show data context 17 Show data context 19 Show data context 13 Show data context 7 Show data context 35 Show data context 20 Show data context 7 Show data context 10 Show data context 14 Show data context 8 Show data context
Brick, Cement 0 Show data context 0 Show data context 1 Show data context 1 Show data context 3 Show data context 5 Show data context 0 Show data context 1 Show data context 11 Show data context 15 Show data context 9 Show data context 12 Show data context 8 Show data context 3 Show data context
Chemicals 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 1 Show data context 3 Show data context 2 Show data context 8 Show data context
Skins, Leather 0 Show data context 0 Show data context 4 Show data context 7 Show data context 22 Show data context 18 Show data context 21 Show data context 16 Show data context 30 Show data context 23 Show data context 6 Show data context 10 Show data context 12 Show data context 6 Show data context
Paper, Prints 0 Show data context 0 Show data context 0 Show data context 1 Show data context 0 Show data context 1 Show data context 1 Show data context 1 Show data context 7 Show data context 7 Show data context 10 Show data context 3 Show data context 1 Show data context 3 Show data context
Textile Fabrics 0 Show data context 0 Show data context 1 Show data context 2 Show data context 2 Show data context 2 Show data context 4 Show data context 9 Show data context 28 Show data context 25 Show data context 8 Show data context 7 Show data context 3 Show data context 2 Show data context
Dress 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 0 Show data context 4 Show data context 7 Show data context 2 Show data context 2 Show data context 1 Show data context 1 Show data context
Food, Drink 0 Show data context 2 Show data context 28 Show data context 30 Show data context 39 Show data context 34 Show data context 30 Show data context 30 Show data context 119 Show data context 71 Show data context 29 Show data context 21 Show data context 10 Show data context 9 Show data context
Gas, Water 0 Show data context 4 Show data context 35 Show data context 76 Show data context 104 Show data context 83 Show data context 126 Show data context 127 Show data context 394 Show data context 257 Show data context 106 Show data context 74 Show data context 22 Show data context 20 Show data context
Other and Undefined 0 Show data context 3 Show data context 105 Show data context 228 Show data context 237 Show data context 246 Show data context 258 Show data context 219 Show data context 855 Show data context 890 Show data context 451 Show data context 347 Show data context 192 Show data context 141 Show data context
Unoccupied 0 Show data context 5 Show data context 45 Show data context 101 Show data context 124 Show data context 150 Show data context 152 Show data context 171 Show data context 639 Show data context 879 Show data context 832 Show data context 755 Show data context 567 Show data context 330 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, Parts of Lindsey 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/10107398/cube/OCC_ORD1911_AGESEX

Date accessed: 22nd January 2020