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 0 Show data context 61 Show data context 75 Show data context 62 Show data context 48 Show data context 51 Show data context 41 Show data context 226 Show data context 779 Show data context 810 Show data context 527 Show data context 233 Show data context 26 Show data context
Defence 0 Show data context 1 Show data context 51 Show data context 117 Show data context 123 Show data context 327 Show data context 537 Show data context 418 Show data context 1,306 Show data context 1,356 Show data context 591 Show data context 73 Show data context 20 Show data context 17 Show data context
Professional Occupations 0 Show data context 0 Show data context 7 Show data context 13 Show data context 21 Show data context 32 Show data context 35 Show data context 29 Show data context 134 Show data context 331 Show data context 272 Show data context 181 Show data context 93 Show data context 19 Show data context
Domestic Services 0 Show data context 1 Show data context 10 Show data context 10 Show data context 14 Show data context 7 Show data context 12 Show data context 12 Show data context 54 Show data context 182 Show data context 194 Show data context 114 Show data context 94 Show data context 37 Show data context
Commercial Occupations 0 Show data context 0 Show data context 21 Show data context 54 Show data context 91 Show data context 89 Show data context 67 Show data context 78 Show data context 352 Show data context 462 Show data context 371 Show data context 178 Show data context 101 Show data context 39 Show data context
Transport 12 Show data context 20 Show data context 201 Show data context 205 Show data context 160 Show data context 107 Show data context 75 Show data context 67 Show data context 380 Show data context 1,007 Show data context 748 Show data context 516 Show data context 269 Show data context 59 Show data context
Agriculture 0 Show data context 0 Show data context 4 Show data context 8 Show data context 11 Show data context 9 Show data context 17 Show data context 15 Show data context 49 Show data context 84 Show data context 66 Show data context 77 Show data context 61 Show data context 44 Show data context
Mines & Quarries
Metals, Machines 0 Show data context 0 Show data context 0 Show data context 1 Show data context 0 Show data context 2 Show data context 2 Show data context 0 Show data context 10 Show data context 16 Show data context 22 Show data context 9 Show data context 13 Show data context 5 Show data context
Jewelry, Instruments 0 Show data context 1 Show data context 75 Show data context 151 Show data context 185 Show data context 208 Show data context 250 Show data context 233 Show data context 916 Show data context 1,722 Show data context 1,984 Show data context 1,653 Show data context 820 Show data context 114 Show data context
Building 0 Show data context 0 Show data context 6 Show data context 14 Show data context 8 Show data context 13 Show data context 10 Show data context 7 Show data context 48 Show data context 52 Show data context 57 Show data context 38 Show data context 19 Show data context 9 Show data context
Wood, Furniture 0 Show data context 0 Show data context 23 Show data context 24 Show data context 41 Show data context 48 Show data context 43 Show data context 51 Show data context 274 Show data context 801 Show data context 755 Show data context 577 Show data context 343 Show data context 115 Show data context
Brick, Cement 0 Show data context 0 Show data context 4 Show data context 11 Show data context 3 Show data context 12 Show data context 12 Show data context 13 Show data context 59 Show data context 126 Show data context 164 Show data context 113 Show data context 68 Show data context 26 Show data context
Chemicals 0 Show data context 0 Show data context 3 Show data context 1 Show data context 2 Show data context 2 Show data context 3 Show data context 2 Show data context 12 Show data context 29 Show data context 23 Show data context 8 Show data context 14 Show data context 2 Show data context
Skins, Leather 0 Show data context 0 Show data context 37 Show data context 52 Show data context 20 Show data context 35 Show data context 60 Show data context 30 Show data context 134 Show data context 447 Show data context 449 Show data context 257 Show data context 119 Show data context 13 Show data context
Paper, Prints 0 Show data context 0 Show data context 2 Show data context 0 Show data context 2 Show data context 0 Show data context 3 Show data context 2 Show data context 13 Show data context 24 Show data context 39 Show data context 43 Show data context 38 Show data context 9 Show data context
Textile Fabrics 1 Show data context 1 Show data context 10 Show data context 22 Show data context 25 Show data context 19 Show data context 16 Show data context 23 Show data context 69 Show data context 117 Show data context 96 Show data context 62 Show data context 27 Show data context 7 Show data context
Dress 0 Show data context 0 Show data context 5 Show data context 5 Show data context 5 Show data context 6 Show data context 8 Show data context 7 Show data context 43 Show data context 75 Show data context 49 Show data context 35 Show data context 18 Show data context 6 Show data context
Food, Drink 1 Show data context 1 Show data context 16 Show data context 32 Show data context 40 Show data context 42 Show data context 31 Show data context 39 Show data context 141 Show data context 259 Show data context 212 Show data context 149 Show data context 95 Show data context 59 Show data context
Gas, Water 0 Show data context 2 Show data context 41 Show data context 89 Show data context 110 Show data context 116 Show data context 90 Show data context 117 Show data context 433 Show data context 684 Show data context 567 Show data context 348 Show data context 166 Show data context 78 Show data context
Other & Undefined 0 Show data context 0 Show data context 0 Show data context 1 Show data context 3 Show data context 4 Show data context 1 Show data context 4 Show data context 30 Show data context 120 Show data context 118 Show data context 86 Show data context 44 Show data context 9 Show data context
Unoccupied 16 Show data context 24 Show data context 43 Show data context 50 Show data context 62 Show data context 77 Show data context 86 Show data context 86 Show data context 333 Show data context 968 Show data context 1,174 Show data context 919 Show data context 561 Show data context 136 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 0 Show data context 0 Show data context 3 Show data context 4 Show data context 9 Show data context 11 Show data context 68 Show data context 73 Show data context 43 Show data context 29 Show data context 6 Show data context 2 Show data context
Defence
Professional Occupations 1 Show data context 0 Show data context 1 Show data context 7 Show data context 13 Show data context 21 Show data context 34 Show data context 28 Show data context 227 Show data context 409 Show data context 207 Show data context 145 Show data context 83 Show data context 28 Show data context
Domestic Services 0 Show data context 1 Show data context 115 Show data context 241 Show data context 278 Show data context 261 Show data context 262 Show data context 280 Show data context 999 Show data context 832 Show data context 527 Show data context 450 Show data context 242 Show data context 100 Show data context
Commercial Occupations 0 Show data context 0 Show data context 10 Show data context 18 Show data context 42 Show data context 69 Show data context 85 Show data context 70 Show data context 273 Show data context 169 Show data context 22 Show data context 8 Show data context 2 Show data context 2 Show data context
Transport 0 Show data context 0 Show data context 4 Show data context 3 Show data context 8 Show data context 8 Show data context 5 Show data context 8 Show data context 25 Show data context 13 Show data context 6 Show data context 0 Show data context 0 Show data context 1 Show data context
Agriculture 0 Show data context 0 Show data context 0 Show data context 0 Show data context 1 Show data context 0 Show data context 1 Show data context 2 Show data context 2 Show data context 5 Show data context 3 Show data context 4 Show data context 3 Show data context 0 Show data context
Mines & Quarries
Metals, Machines 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 1 Show data context 1 Show data context 1 Show data context
Jewelry, Instruments 0 Show data context 0 Show data context 4 Show data context 12 Show data context 22 Show data context 24 Show data context 36 Show data context 17 Show data context 112 Show data context 38 Show data context 8 Show data context 1 Show data context 0 Show data context 0 Show data context
Building 0 Show data context 0 Show data context 4 Show data context 4 Show data context 6 Show data context 6 Show data context 9 Show data context 9 Show data context 48 Show data context 53 Show data context 31 Show data context 25 Show data context 9 Show data context 7 Show data context
Wood, Furniture
Brick, Cement 0 Show data context 0 Show data context 0 Show data context 1 Show data context 2 Show data context 3 Show data context 5 Show data context 2 Show data context 10 Show data context 10 Show data context 7 Show data context 5 Show data context 3 Show data context 1 Show data context
Chemicals 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 1 Show data context 4 Show data context 3 Show data context 1 Show data context 0 Show data context 2 Show data context 0 Show data context
Skins, Leather 0 Show data context 0 Show data context 9 Show data context 9 Show data context 16 Show data context 15 Show data context 20 Show data context 23 Show data context 58 Show data context 15 Show data context 5 Show data context 3 Show data context 3 Show data context 1 Show data context
Paper, Prints 0 Show data context 0 Show data context 0 Show data context 1 Show data context 1 Show data context 0 Show data context 1 Show data context 0 Show data context 5 Show data context 8 Show data context 3 Show data context 1 Show data context 1 Show data context 0 Show data context
Textile Fabrics 0 Show data context 0 Show data context 3 Show data context 5 Show data context 8 Show data context 5 Show data context 12 Show data context 12 Show data context 20 Show data context 27 Show data context 21 Show data context 6 Show data context 6 Show data context 4 Show data context
Dress 0 Show data context 0 Show data context 9 Show data context 27 Show data context 23 Show data context 36 Show data context 21 Show data context 25 Show data context 124 Show data context 86 Show data context 23 Show data context 18 Show data context 10 Show data context 5 Show data context
Food, Drink 0 Show data context 0 Show data context 61 Show data context 127 Show data context 180 Show data context 178 Show data context 162 Show data context 161 Show data context 609 Show data context 404 Show data context 256 Show data context 163 Show data context 143 Show data context 84 Show data context
Gas, Water 1 Show data context 0 Show data context 11 Show data context 17 Show data context 33 Show data context 37 Show data context 52 Show data context 41 Show data context 239 Show data context 217 Show data context 173 Show data context 158 Show data context 70 Show data context 37 Show data context
Other & Undefined
Unoccupied 1 Show data context 0 Show data context 3 Show data context 8 Show data context 7 Show data context 21 Show data context 13 Show data context 9 Show data context 40 Show data context 44 Show data context 44 Show data context 33 Show data context 29 Show data context 9 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, Woolwich 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/10193904/cube/OCC_ORD1911_AGESEX

Date accessed: 28th April 2024