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 0 Show data context 1 Show data context 36 Show data context 40 Show data context 20 Show data context 19 Show data context 19 Show data context 17 Show data context 140 Show data context 376 Show data context 323 Show data context 144 Show data context 50 Show data context 11 Show data context
Defence 0 Show data context 0 Show data context 0 Show data context 0 Show data context 0 Show data context 2 Show data context 8 Show data context 9 Show data context 28 Show data context 38 Show data context 8 Show data context 1 Show data context 0 Show data context 0 Show data context
Professional Occupations 0 Show data context 0 Show data context 12 Show data context 13 Show data context 13 Show data context 14 Show data context 18 Show data context 15 Show data context 95 Show data context 154 Show data context 95 Show data context 74 Show data context 41 Show data context 18 Show data context
Domestic Services 0 Show data context 0 Show data context 5 Show data context 8 Show data context 13 Show data context 9 Show data context 10 Show data context 9 Show data context 53 Show data context 140 Show data context 124 Show data context 89 Show data context 62 Show data context 28 Show data context
Commercial Occupations 0 Show data context 0 Show data context 51 Show data context 118 Show data context 150 Show data context 186 Show data context 180 Show data context 149 Show data context 606 Show data context 582 Show data context 283 Show data context 159 Show data context 73 Show data context 33 Show data context
Transport 13 Show data context 30 Show data context 502 Show data context 496 Show data context 450 Show data context 384 Show data context 297 Show data context 287 Show data context 1,430 Show data context 3,340 Show data context 2,713 Show data context 1,950 Show data context 1,008 Show data context 324 Show data context
Agriculture 0 Show data context 0 Show data context 0 Show data context 1 Show data context 0 Show data context 1 Show data context 0 Show data context 1 Show data context 6 Show data context 13 Show data context 8 Show data context 7 Show data context 6 Show data context 3 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 3 Show data context 1 Show data context 2 Show data context 11 Show data context 26 Show data context 25 Show data context 26 Show data context 17 Show data context 6 Show data context
Jewelry, Instruments 0 Show data context 0 Show data context 35 Show data context 63 Show data context 90 Show data context 101 Show data context 83 Show data context 81 Show data context 438 Show data context 809 Show data context 617 Show data context 445 Show data context 273 Show data context 127 Show data context
Building 0 Show data context 0 Show data context 9 Show data context 14 Show data context 12 Show data context 10 Show data context 15 Show data context 16 Show data context 42 Show data context 64 Show data context 43 Show data context 23 Show data context 17 Show data context 10 Show data context
Wood, Furniture 0 Show data context 0 Show data context 0 Show data context 5 Show data context 10 Show data context 26 Show data context 29 Show data context 19 Show data context 143 Show data context 419 Show data context 475 Show data context 423 Show data context 272 Show data context 129 Show data context
Brick, Cement 0 Show data context 0 Show data context 16 Show data context 20 Show data context 37 Show data context 38 Show data context 28 Show data context 30 Show data context 127 Show data context 270 Show data context 215 Show data context 176 Show data context 119 Show data context 64 Show data context
Chemicals 0 Show data context 0 Show data context 2 Show data context 4 Show data context 2 Show data context 2 Show data context 3 Show data context 2 Show data context 8 Show data context 21 Show data context 13 Show data context 18 Show data context 8 Show data context 1 Show data context
Skins, Leather 0 Show data context 0 Show data context 7 Show data context 22 Show data context 31 Show data context 26 Show data context 25 Show data context 31 Show data context 121 Show data context 210 Show data context 141 Show data context 76 Show data context 54 Show data context 22 Show data context
Paper, Prints 0 Show data context 0 Show data context 15 Show data context 35 Show data context 44 Show data context 77 Show data context 78 Show data context 78 Show data context 390 Show data context 721 Show data context 620 Show data context 463 Show data context 273 Show data context 137 Show data context
Textile Fabrics 0 Show data context 0 Show data context 52 Show data context 82 Show data context 89 Show data context 121 Show data context 81 Show data context 90 Show data context 321 Show data context 478 Show data context 334 Show data context 172 Show data context 72 Show data context 37 Show data context
Dress 0 Show data context 0 Show data context 5 Show data context 11 Show data context 20 Show data context 13 Show data context 6 Show data context 13 Show data context 52 Show data context 102 Show data context 68 Show data context 58 Show data context 50 Show data context 18 Show data context
Food, Drink 1 Show data context 3 Show data context 21 Show data context 25 Show data context 31 Show data context 30 Show data context 32 Show data context 34 Show data context 155 Show data context 250 Show data context 223 Show data context 149 Show data context 81 Show data context 78 Show data context
Gas, Water 0 Show data context 2 Show data context 68 Show data context 102 Show data context 144 Show data context 128 Show data context 152 Show data context 171 Show data context 751 Show data context 1,224 Show data context 920 Show data context 658 Show data context 306 Show data context 90 Show data context
Other & Undefined 0 Show data context 0 Show data context 1 Show data context 5 Show data context 2 Show data context 1 Show data context 5 Show data context 5 Show data context 33 Show data context 129 Show data context 136 Show data context 99 Show data context 52 Show data context 19 Show data context
Unoccupied 7 Show data context 6 Show data context 27 Show data context 31 Show data context 54 Show data context 64 Show data context 50 Show data context 61 Show data context 278 Show data context 784 Show data context 775 Show data context 591 Show data context 346 Show data context 125 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 1 Show data context 2 Show data context 2 Show data context 4 Show data context 6 Show data context 45 Show data context 73 Show data context 37 Show data context 20 Show data context 17 Show data context 4 Show data context
Defence
Professional Occupations 0 Show data context 0 Show data context 1 Show data context 3 Show data context 3 Show data context 9 Show data context 19 Show data context 10 Show data context 54 Show data context 126 Show data context 104 Show data context 71 Show data context 54 Show data context 29 Show data context
Domestic Services 0 Show data context 0 Show data context 42 Show data context 75 Show data context 95 Show data context 110 Show data context 103 Show data context 109 Show data context 432 Show data context 456 Show data context 531 Show data context 508 Show data context 401 Show data context 169 Show data context
Commercial Occupations 0 Show data context 0 Show data context 8 Show data context 30 Show data context 44 Show data context 54 Show data context 54 Show data context 53 Show data context 166 Show data context 86 Show data context 15 Show data context 5 Show data context 1 Show data context 0 Show data context
Transport 1 Show data context 1 Show data context 47 Show data context 56 Show data context 29 Show data context 10 Show data context 12 Show data context 13 Show data context 33 Show data context 14 Show data context 8 Show data context 11 Show data context 7 Show data context 1 Show data context
Agriculture
Mines & Quarries
Metals, Machines 0 Show data context 0 Show data context 0 Show data context 1 Show data context 0 Show data context 0 Show data context 1 Show data context 2 Show data context 1 Show data context 1 Show data context 0 Show data context 1 Show data context 2 Show data context 0 Show data context
Jewelry, Instruments 0 Show data context 0 Show data context 29 Show data context 96 Show data context 159 Show data context 145 Show data context 135 Show data context 111 Show data context 332 Show data context 192 Show data context 46 Show data context 12 Show data context 6 Show data context 2 Show data context
Building 0 Show data context 0 Show data context 0 Show data context 3 Show data context 3 Show data context 2 Show data context 2 Show data context 4 Show data context 13 Show data context 7 Show data context 6 Show data context 3 Show data context 1 Show data context 0 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 0 Show data context 0 Show data context 2 Show data context
Brick, Cement 0 Show data context 0 Show data context 5 Show data context 13 Show data context 13 Show data context 10 Show data context 11 Show data context 11 Show data context 58 Show data context 34 Show data context 24 Show data context 22 Show data context 12 Show data context 4 Show data context
Chemicals 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 2 Show data context 8 Show data context 5 Show data context 0 Show data context 0 Show data context 0 Show data context 0 Show data context
Skins, Leather 0 Show data context 0 Show data context 23 Show data context 40 Show data context 49 Show data context 32 Show data context 44 Show data context 27 Show data context 113 Show data context 101 Show data context 20 Show data context 19 Show data context 7 Show data context 3 Show data context
Paper, Prints 0 Show data context 0 Show data context 43 Show data context 46 Show data context 32 Show data context 36 Show data context 36 Show data context 45 Show data context 129 Show data context 133 Show data context 103 Show data context 98 Show data context 41 Show data context 16 Show data context
Textile Fabrics 0 Show data context 0 Show data context 83 Show data context 120 Show data context 142 Show data context 126 Show data context 153 Show data context 123 Show data context 466 Show data context 328 Show data context 152 Show data context 85 Show data context 36 Show data context 4 Show data context
Dress 0 Show data context 0 Show data context 12 Show data context 29 Show data context 33 Show data context 42 Show data context 38 Show data context 37 Show data context 154 Show data context 116 Show data context 58 Show data context 63 Show data context 28 Show data context 10 Show data context
Food, Drink 0 Show data context 0 Show data context 106 Show data context 188 Show data context 231 Show data context 195 Show data context 207 Show data context 195 Show data context 855 Show data context 699 Show data context 416 Show data context 338 Show data context 209 Show data context 125 Show data context
Gas, Water 0 Show data context 2 Show data context 150 Show data context 176 Show data context 188 Show data context 234 Show data context 194 Show data context 206 Show data context 869 Show data context 748 Show data context 395 Show data context 243 Show data context 108 Show data context 27 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 1 Show data context 1 Show data context 3 Show data context 1 Show data context 2 Show data context 0 Show data context 0 Show data context 0 Show data context
Unoccupied 0 Show data context 1 Show data context 15 Show data context 31 Show data context 32 Show data context 26 Show data context 21 Show data context 25 Show data context 88 Show data context 92 Show data context 54 Show data context 57 Show data context 37 Show data context 18 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, Bermondsey MetB 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/10153232/cube/OCC_ORD1911_AGESEX

Date accessed: 13th June 2024