City of London County Corporate (LCC) : Persons Aged over 10 by Sex, Age & 1911 Occupational Order

Persons Aged over 10 by Sex, Age & 1911 Occupational Order

Data cube chart.

Data cube 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 0 Show data context 1 Show data context 3 Show data context 2 Show data context 1 Show data context 1 Show data context 159 Show data context 301 Show data context 171 Show data context 60 Show data context 15 Show data context 2 Show data context
Defence 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 4 Show data context 6 Show data context 2 Show data context 3 Show data context 0 Show data context 1 Show data context
Professional Occupations 0 Show data context 0 Show data context 2 Show data context 2 Show data context 9 Show data context 4 Show data context 8 Show data context 8 Show data context 32 Show data context 73 Show data context 74 Show data context 70 Show data context 40 Show data context 21 Show data context
Domestic Services 0 Show data context 0 Show data context 8 Show data context 7 Show data context 17 Show data context 16 Show data context 22 Show data context 21 Show data context 115 Show data context 185 Show data context 316 Show data context 275 Show data context 165 Show data context 51 Show data context
Commercial Occupations 0 Show data context 0 Show data context 14 Show data context 18 Show data context 39 Show data context 45 Show data context 39 Show data context 31 Show data context 155 Show data context 176 Show data context 111 Show data context 75 Show data context 54 Show data context 10 Show data context
Transport 0 Show data context 0 Show data context 21 Show data context 39 Show data context 31 Show data context 32 Show data context 34 Show data context 38 Show data context 184 Show data context 227 Show data context 194 Show data context 166 Show data context 92 Show data context 29 Show data context
Agriculture 0 Show data context 0 Show data context 0 Show data context 0 Show data context 1 Show data context 1 Show data context 0 Show data context 2 Show data context 5 Show data context 7 Show data context 6 Show data context 3 Show data context 2 Show data context 2 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 3 Show data context 2 Show data context 2 Show data context 0 Show data context 0 Show data context
Jewelry, Instruments 0 Show data context 0 Show data context 2 Show data context 3 Show data context 9 Show data context 11 Show data context 3 Show data context 10 Show data context 18 Show data context 60 Show data context 38 Show data context 30 Show data context 26 Show data context 9 Show data context
Building 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 1 Show data context 11 Show data context 19 Show data context 19 Show data context 11 Show data context 5 Show data context 1 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 3 Show data context 1 Show data context 13 Show data context 39 Show data context 45 Show data context 59 Show data context 40 Show data context 14 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 1 Show data context 5 Show data context 3 Show data context 22 Show data context 19 Show data context 21 Show data context 21 Show data context 12 Show data context 7 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 1 Show data context 0 Show data context 1 Show data context 5 Show data context 3 Show data context 6 Show data context 2 Show data context 1 Show data context
Skins, Leather 0 Show data context 0 Show data context 1 Show data context 0 Show data context 0 Show data context 3 Show data context 1 Show data context 0 Show data context 5 Show data context 7 Show data context 8 Show data context 9 Show data context 3 Show data context 5 Show data context
Paper, Prints 0 Show data context 0 Show data context 1 Show data context 0 Show data context 4 Show data context 1 Show data context 1 Show data context 1 Show data context 7 Show data context 13 Show data context 13 Show data context 9 Show data context 7 Show data context 0 Show data context
Textile Fabrics 0 Show data context 0 Show data context 4 Show data context 7 Show data context 6 Show data context 5 Show data context 10 Show data context 7 Show data context 22 Show data context 37 Show data context 42 Show data context 40 Show data context 19 Show data context 9 Show data context
Dress 0 Show data context 0 Show data context 4 Show data context 21 Show data context 30 Show data context 51 Show data context 59 Show data context 107 Show data context 410 Show data context 176 Show data context 54 Show data context 18 Show data context 19 Show data context 3 Show data context
Food, Drink 0 Show data context 0 Show data context 5 Show data context 16 Show data context 16 Show data context 10 Show data context 11 Show data context 16 Show data context 49 Show data context 80 Show data context 64 Show data context 59 Show data context 33 Show data context 31 Show data context
Gas, Water 0 Show data context 0 Show data context 2 Show data context 7 Show data context 13 Show data context 28 Show data context 46 Show data context 54 Show data context 257 Show data context 316 Show data context 247 Show data context 162 Show data context 89 Show data context 29 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 3 Show data context 5 Show data context 4 Show data context 1 Show data context 0 Show data context
Unoccupied 0 Show data context 0 Show data context 0 Show data context 3 Show data context 4 Show data context 2 Show data context 5 Show data context 6 Show data context 44 Show data context 101 Show data context 128 Show data context 142 Show data context 82 Show data context 32 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 0 Show data context 1 Show data context 3 Show data context 1 Show data context 2 Show data context 9 Show data context 5 Show data context 2 Show data context 4 Show data context 1 Show data context
Defence
Professional Occupations 0 Show data context 0 Show data context 1 Show data context 1 Show data context 0 Show data context 0 Show data context 2 Show data context 3 Show data context 91 Show data context 192 Show data context 47 Show data context 29 Show data context 13 Show data context 9 Show data context
Domestic Services 0 Show data context 0 Show data context 14 Show data context 23 Show data context 37 Show data context 54 Show data context 86 Show data context 74 Show data context 498 Show data context 608 Show data context 501 Show data context 468 Show data context 285 Show data context 147 Show data context
Commercial Occupations 0 Show data context 0 Show data context 2 Show data context 12 Show data context 7 Show data context 14 Show data context 16 Show data context 15 Show data context 74 Show data context 43 Show data context 9 Show data context 7 Show data context 3 Show data context 0 Show data context
Transport 0 Show data context 0 Show data context 2 Show data context 3 Show data context 0 Show data context 0 Show data context 1 Show data context 2 Show data context 5 Show data context 5 Show data context 3 Show data context 3 Show data context 0 Show data context 0 Show data context
Agriculture
Mines & Quarries
Metals, Machines
Jewelry, Instruments 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 1 Show data context 4 Show data context 1 Show data context 0 Show data context 0 Show data context 1 Show data context 1 Show data context
Building 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 1 Show data context 1 Show data context 0 Show data context 1 Show data context 2 Show data context 0 Show data context
Wood, Furniture
Brick, Cement 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 1 Show data context 2 Show data context 0 Show data context 1 Show data context 1 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 1 Show data context 0 Show data context 3 Show data context 0 Show data context 1 Show data context 1 Show data context 1 Show data context 0 Show data context
Skins, Leather 0 Show data context 0 Show data context 1 Show data context 1 Show data context 0 Show data context 0 Show data context 0 Show data context 0 Show data context 3 Show data context 3 Show data context 0 Show data context 2 Show data context 0 Show data context 0 Show data context
Paper, Prints 0 Show data context 0 Show data context 1 Show data context 3 Show data context 1 Show data context 4 Show data context 1 Show data context 1 Show data context 9 Show data context 7 Show data context 6 Show data context 1 Show data context 5 Show data context 2 Show data context
Textile Fabrics 0 Show data context 0 Show data context 4 Show data context 10 Show data context 5 Show data context 9 Show data context 7 Show data context 7 Show data context 19 Show data context 20 Show data context 17 Show data context 14 Show data context 11 Show data context 8 Show data context
Dress 0 Show data context 0 Show data context 2 Show data context 0 Show data context 5 Show data context 2 Show data context 7 Show data context 3 Show data context 40 Show data context 42 Show data context 9 Show data context 7 Show data context 0 Show data context 1 Show data context
Food, Drink 0 Show data context 0 Show data context 12 Show data context 16 Show data context 30 Show data context 20 Show data context 21 Show data context 19 Show data context 71 Show data context 84 Show data context 40 Show data context 40 Show data context 30 Show data context 28 Show data context
Gas, Water 0 Show data context 0 Show data context 5 Show data context 11 Show data context 15 Show data context 17 Show data context 25 Show data context 55 Show data context 279 Show data context 329 Show data context 136 Show data context 78 Show data context 35 Show data context 8 Show data context
Other & Undefined
Unoccupied 0 Show data context 0 Show data context 0 Show data context 3 Show data context 2 Show data context 4 Show data context 2 Show data context 0 Show data context 20 Show data context 6 Show data context 12 Show data context 10 Show data context 8 Show data context 2 Show data context

Click on the triangles for all about a particular number

nCube definition

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


Number of persons leaving school with or without basic qualifications. How this was calculated varies between censuses: In 1951 it reflects whether they stayed at school to age 15. In 2001-21 whether or not they left school with qualifications.


How to reference this page:

GB Historical GIS / University of Portsmouth, City of London County Corporate (LCC) through time | Historical Statistics on Industry | Persons Aged over 10 by Sex, Age & 1911 Occupational Order, A Vision of Britain through Time.

URL: https://www.visionofbritain.org.uk/unit/10001808/cube/OCC_ORD1911_AGESEX

Date accessed: 08th June 2026