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 3 Show data context 48 Show data context 55 Show data context 33 Show data context 21 Show data context 26 Show data context 14 Show data context 197 Show data context 518 Show data context 370 Show data context 266 Show data context 89 Show data context 26 Show data context
Defence 0 Show data context 0 Show data context 0 Show data context 1 Show data context 1 Show data context 4 Show data context 0 Show data context 1 Show data context 22 Show data context 15 Show data context 23 Show data context 6 Show data context 4 Show data context 0 Show data context
Professional Occupations 0 Show data context 0 Show data context 19 Show data context 29 Show data context 37 Show data context 59 Show data context 43 Show data context 41 Show data context 311 Show data context 600 Show data context 421 Show data context 323 Show data context 184 Show data context 65 Show data context
Domestic Services 1 Show data context 1 Show data context 16 Show data context 15 Show data context 19 Show data context 17 Show data context 17 Show data context 16 Show data context 81 Show data context 167 Show data context 184 Show data context 130 Show data context 115 Show data context 52 Show data context
Commercial Occupations 0 Show data context 4 Show data context 99 Show data context 189 Show data context 229 Show data context 266 Show data context 262 Show data context 224 Show data context 1,092 Show data context 1,514 Show data context 1,026 Show data context 683 Show data context 365 Show data context 152 Show data context
Transport 39 Show data context 126 Show data context 777 Show data context 670 Show data context 551 Show data context 543 Show data context 531 Show data context 520 Show data context 3,075 Show data context 7,117 Show data context 5,907 Show data context 3,932 Show data context 2,338 Show data context 805 Show data context
Agriculture 0 Show data context 1 Show data context 7 Show data context 8 Show data context 16 Show data context 5 Show data context 13 Show data context 17 Show data context 50 Show data context 95 Show data context 90 Show data context 93 Show data context 89 Show data context 80 Show data context
Mines & Quarries
Metals, Machines 0 Show data context 0 Show data context 4 Show data context 4 Show data context 7 Show data context 5 Show data context 7 Show data context 5 Show data context 65 Show data context 120 Show data context 92 Show data context 104 Show data context 52 Show data context 29 Show data context
Jewelry, Instruments 0 Show data context 1 Show data context 197 Show data context 309 Show data context 326 Show data context 357 Show data context 374 Show data context 340 Show data context 1,628 Show data context 2,891 Show data context 2,364 Show data context 1,574 Show data context 988 Show data context 359 Show data context
Building 0 Show data context 0 Show data context 7 Show data context 13 Show data context 8 Show data context 11 Show data context 13 Show data context 11 Show data context 72 Show data context 118 Show data context 85 Show data context 72 Show data context 56 Show data context 17 Show data context
Wood, Furniture 0 Show data context 1 Show data context 53 Show data context 109 Show data context 134 Show data context 132 Show data context 108 Show data context 119 Show data context 724 Show data context 1,793 Show data context 1,290 Show data context 1,047 Show data context 700 Show data context 279 Show data context
Brick, Cement 1 Show data context 13 Show data context 183 Show data context 174 Show data context 186 Show data context 172 Show data context 125 Show data context 103 Show data context 420 Show data context 864 Show data context 653 Show data context 431 Show data context 340 Show data context 111 Show data context
Chemicals 0 Show data context 2 Show data context 11 Show data context 13 Show data context 18 Show data context 19 Show data context 9 Show data context 12 Show data context 69 Show data context 160 Show data context 131 Show data context 57 Show data context 30 Show data context 15 Show data context
Skins, Leather 0 Show data context 2 Show data context 45 Show data context 81 Show data context 134 Show data context 127 Show data context 186 Show data context 181 Show data context 801 Show data context 1,234 Show data context 821 Show data context 613 Show data context 339 Show data context 106 Show data context
Paper, Prints 0 Show data context 0 Show data context 9 Show data context 15 Show data context 21 Show data context 28 Show data context 16 Show data context 27 Show data context 111 Show data context 184 Show data context 164 Show data context 94 Show data context 91 Show data context 48 Show data context
Textile Fabrics 0 Show data context 3 Show data context 26 Show data context 44 Show data context 56 Show data context 46 Show data context 53 Show data context 46 Show data context 193 Show data context 340 Show data context 263 Show data context 191 Show data context 108 Show data context 42 Show data context
Dress 0 Show data context 1 Show data context 12 Show data context 23 Show data context 41 Show data context 28 Show data context 28 Show data context 28 Show data context 123 Show data context 184 Show data context 161 Show data context 104 Show data context 84 Show data context 36 Show data context
Food, Drink 1 Show data context 8 Show data context 43 Show data context 67 Show data context 76 Show data context 67 Show data context 68 Show data context 66 Show data context 266 Show data context 542 Show data context 425 Show data context 315 Show data context 190 Show data context 143 Show data context
Gas, Water 0 Show data context 6 Show data context 104 Show data context 189 Show data context 253 Show data context 286 Show data context 270 Show data context 267 Show data context 1,210 Show data context 2,219 Show data context 1,672 Show data context 1,011 Show data context 616 Show data context 287 Show data context
Other & Undefined 0 Show data context 3 Show data context 26 Show data context 29 Show data context 24 Show data context 22 Show data context 14 Show data context 13 Show data context 56 Show data context 180 Show data context 176 Show data context 138 Show data context 108 Show data context 29 Show data context
Unoccupied 44 Show data context 70 Show data context 54 Show data context 103 Show data context 109 Show data context 154 Show data context 162 Show data context 147 Show data context 637 Show data context 1,227 Show data context 1,087 Show data context 754 Show data context 477 Show data context 278 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 4 Show data context 6 Show data context 6 Show data context 8 Show data context 65 Show data context 83 Show data context 39 Show data context 20 Show data context 7 Show data context 1 Show data context
Defence
Professional Occupations 1 Show data context 1 Show data context 2 Show data context 7 Show data context 12 Show data context 30 Show data context 66 Show data context 91 Show data context 585 Show data context 691 Show data context 353 Show data context 236 Show data context 148 Show data context 50 Show data context
Domestic Services 5 Show data context 15 Show data context 285 Show data context 432 Show data context 502 Show data context 595 Show data context 594 Show data context 599 Show data context 2,283 Show data context 1,921 Show data context 1,184 Show data context 864 Show data context 503 Show data context 231 Show data context
Commercial Occupations 0 Show data context 0 Show data context 17 Show data context 31 Show data context 66 Show data context 70 Show data context 53 Show data context 54 Show data context 235 Show data context 173 Show data context 47 Show data context 24 Show data context 18 Show data context 4 Show data context
Transport 0 Show data context 0 Show data context 7 Show data context 9 Show data context 11 Show data context 12 Show data context 18 Show data context 23 Show data context 63 Show data context 78 Show data context 11 Show data context 11 Show data context 9 Show data context 3 Show data context
Agriculture 0 Show data context 0 Show data context 2 Show data context 2 Show data context 2 Show data context 1 Show data context 2 Show data context 1 Show data context 3 Show data context 6 Show data context 1 Show data context 1 Show data context 1 Show data context 4 Show data context
Mines & Quarries
Metals, Machines 0 Show data context 0 Show data context 0 Show data context 1 Show data context 4 Show data context 2 Show data context 8 Show data context 3 Show data context 10 Show data context 11 Show data context 1 Show data context 1 Show data context 2 Show data context 1 Show data context
Jewelry, Instruments 0 Show data context 6 Show data context 102 Show data context 152 Show data context 137 Show data context 135 Show data context 134 Show data context 123 Show data context 204 Show data context 35 Show data context 12 Show data context 5 Show data context 5 Show data context 0 Show data context
Building 0 Show data context 0 Show data context 2 Show data context 7 Show data context 4 Show data context 5 Show data context 9 Show data context 9 Show data context 23 Show data context 12 Show data context 7 Show data context 4 Show data context 2 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 1 Show data context 3 Show data context 0 Show data context
Brick, Cement 0 Show data context 0 Show data context 11 Show data context 16 Show data context 29 Show data context 25 Show data context 19 Show data context 27 Show data context 62 Show data context 48 Show data context 24 Show data context 35 Show data context 18 Show data context 7 Show data context
Chemicals 0 Show data context 0 Show data context 0 Show data context 2 Show data context 2 Show data context 2 Show data context 4 Show data context 3 Show data context 8 Show data context 6 Show data context 2 Show data context 2 Show data context 1 Show data context 2 Show data context
Skins, Leather 0 Show data context 24 Show data context 211 Show data context 252 Show data context 229 Show data context 228 Show data context 180 Show data context 154 Show data context 485 Show data context 181 Show data context 40 Show data context 13 Show data context 7 Show data context 4 Show data context
Paper, Prints 0 Show data context 0 Show data context 9 Show data context 10 Show data context 3 Show data context 4 Show data context 6 Show data context 5 Show data context 22 Show data context 16 Show data context 7 Show data context 5 Show data context 2 Show data context 1 Show data context
Textile Fabrics 0 Show data context 4 Show data context 55 Show data context 83 Show data context 81 Show data context 93 Show data context 110 Show data context 90 Show data context 287 Show data context 137 Show data context 59 Show data context 27 Show data context 25 Show data context 11 Show data context
Dress 0 Show data context 1 Show data context 39 Show data context 60 Show data context 93 Show data context 71 Show data context 99 Show data context 88 Show data context 322 Show data context 256 Show data context 117 Show data context 99 Show data context 42 Show data context 23 Show data context
Food, Drink 0 Show data context 9 Show data context 178 Show data context 268 Show data context 290 Show data context 290 Show data context 250 Show data context 250 Show data context 984 Show data context 828 Show data context 435 Show data context 310 Show data context 173 Show data context 126 Show data context
Gas, Water 0 Show data context 3 Show data context 75 Show data context 142 Show data context 184 Show data context 163 Show data context 204 Show data context 199 Show data context 753 Show data context 861 Show data context 662 Show data context 584 Show data context 388 Show data context 183 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 0 Show data context 1 Show data context 0 Show data context 0 Show data context 0 Show data context 0 Show data context
Unoccupied 0 Show data context 1 Show data context 4 Show data context 29 Show data context 30 Show data context 27 Show data context 25 Show data context 37 Show data context 105 Show data context 119 Show data context 96 Show data context 84 Show data context 72 Show data context 43 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, Kingston upon Hull CB/MB 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/10136295/cube/OCC_ORD1911_AGESEX

Date accessed: 02nd November 2024