Southend on Sea County Borough (CB/MB) : 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 1 Show data context 11 Show data context 11 Show data context 4 Show data context 6 Show data context 7 Show data context 9 Show data context 79 Show data context 166 Show data context 129 Show data context 97 Show data context 31 Show data context 7 Show data context
Defence 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 9 Show data context 19 Show data context 19 Show data context 8 Show data context 5 Show data context 11 Show data context
Professional Occupations 0 Show data context 0 Show data context 2 Show data context 10 Show data context 17 Show data context 13 Show data context 17 Show data context 23 Show data context 113 Show data context 306 Show data context 308 Show data context 218 Show data context 114 Show data context 47 Show data context
Domestic Services 2 Show data context 0 Show data context 15 Show data context 9 Show data context 17 Show data context 14 Show data context 19 Show data context 17 Show data context 88 Show data context 126 Show data context 87 Show data context 57 Show data context 41 Show data context 14 Show data context
Commercial Occupations 0 Show data context 0 Show data context 13 Show data context 30 Show data context 57 Show data context 65 Show data context 83 Show data context 67 Show data context 360 Show data context 822 Show data context 925 Show data context 557 Show data context 211 Show data context 66 Show data context
Transport 15 Show data context 16 Show data context 83 Show data context 99 Show data context 77 Show data context 60 Show data context 60 Show data context 41 Show data context 278 Show data context 540 Show data context 405 Show data context 242 Show data context 140 Show data context 51 Show data context
Agriculture 0 Show data context 0 Show data context 7 Show data context 5 Show data context 4 Show data context 8 Show data context 11 Show data context 11 Show data context 35 Show data context 74 Show data context 84 Show data context 72 Show data context 69 Show data context 42 Show data context
Mines & Quarries
Metals, Machines 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 0 Show data context 5 Show data context 18 Show data context 26 Show data context 24 Show data context 8 Show data context 2 Show data context
Jewelry, Instruments 0 Show data context 0 Show data context 4 Show data context 12 Show data context 24 Show data context 23 Show data context 26 Show data context 17 Show data context 95 Show data context 185 Show data context 158 Show data context 102 Show data context 55 Show data context 23 Show data context
Building 0 Show data context 0 Show data context 0 Show data context 5 Show data context 9 Show data context 1 Show data context 4 Show data context 3 Show data context 17 Show data context 46 Show data context 46 Show data context 21 Show data context 16 Show data context 8 Show data context
Wood, Furniture 0 Show data context 1 Show data context 16 Show data context 29 Show data context 28 Show data context 33 Show data context 39 Show data context 43 Show data context 255 Show data context 785 Show data context 612 Show data context 392 Show data context 226 Show data context 74 Show data context
Brick, Cement 0 Show data context 0 Show data context 2 Show data context 5 Show data context 5 Show data context 5 Show data context 10 Show data context 7 Show data context 46 Show data context 99 Show data context 98 Show data context 75 Show data context 45 Show data context 27 Show data context
Chemicals 0 Show data context 0 Show data context 1 Show data context 7 Show data context 6 Show data context 5 Show data context 6 Show data context 5 Show data context 25 Show data context 34 Show data context 46 Show data context 29 Show data context 15 Show data context 6 Show data context
Skins, Leather 0 Show data context 0 Show data context 1 Show data context 1 Show data context 4 Show data context 6 Show data context 1 Show data context 2 Show data context 10 Show data context 30 Show data context 36 Show data context 37 Show data context 21 Show data context 7 Show data context
Paper, Prints 0 Show data context 0 Show data context 1 Show data context 1 Show data context 0 Show data context 1 Show data context 1 Show data context 0 Show data context 3 Show data context 22 Show data context 17 Show data context 17 Show data context 10 Show data context 6 Show data context
Textile Fabrics 0 Show data context 0 Show data context 1 Show data context 7 Show data context 9 Show data context 10 Show data context 12 Show data context 6 Show data context 45 Show data context 82 Show data context 103 Show data context 73 Show data context 37 Show data context 16 Show data context
Dress 0 Show data context 0 Show data context 2 Show data context 4 Show data context 9 Show data context 7 Show data context 4 Show data context 7 Show data context 32 Show data context 65 Show data context 73 Show data context 48 Show data context 25 Show data context 8 Show data context
Food, Drink 0 Show data context 1 Show data context 16 Show data context 21 Show data context 19 Show data context 23 Show data context 19 Show data context 15 Show data context 78 Show data context 161 Show data context 150 Show data context 106 Show data context 48 Show data context 26 Show data context
Gas, Water 0 Show data context 2 Show data context 15 Show data context 41 Show data context 62 Show data context 68 Show data context 74 Show data context 75 Show data context 333 Show data context 509 Show data context 417 Show data context 269 Show data context 122 Show data context 59 Show data context
Other & Undefined 0 Show data context 0 Show data context 0 Show data context 2 Show data context 2 Show data context 2 Show data context 3 Show data context 7 Show data context 27 Show data context 82 Show data context 70 Show data context 40 Show data context 26 Show data context 12 Show data context
Unoccupied 4 Show data context 10 Show data context 14 Show data context 9 Show data context 23 Show data context 9 Show data context 10 Show data context 19 Show data context 91 Show data context 221 Show data context 249 Show data context 164 Show data context 80 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 1 Show data context 1 Show data context 4 Show data context 4 Show data context 15 Show data context 27 Show data context 15 Show data context 2 Show data context 1 Show data context 0 Show data context
Defence
Professional Occupations 0 Show data context 0 Show data context 1 Show data context 2 Show data context 3 Show data context 14 Show data context 22 Show data context 26 Show data context 180 Show data context 293 Show data context 206 Show data context 135 Show data context 56 Show data context 27 Show data context
Domestic Services 2 Show data context 8 Show data context 97 Show data context 186 Show data context 249 Show data context 322 Show data context 304 Show data context 353 Show data context 1,285 Show data context 968 Show data context 490 Show data context 332 Show data context 175 Show data context 66 Show data context
Commercial Occupations 0 Show data context 0 Show data context 4 Show data context 12 Show data context 22 Show data context 15 Show data context 29 Show data context 27 Show data context 113 Show data context 100 Show data context 25 Show data context 9 Show data context 4 Show data context 1 Show data context
Transport 0 Show data context 0 Show data context 1 Show data context 2 Show data context 1 Show data context 0 Show data context 2 Show data context 2 Show data context 1 Show data context 8 Show data context 1 Show data context 0 Show data context 3 Show data context 0 Show data context
Agriculture 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 0 Show data context 0 Show data context 0 Show data context 0 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 0 Show data context 0 Show data context 1 Show data context 0 Show data context
Jewelry, Instruments 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 2 Show data context 0 Show data context 3 Show data context 2 Show data context 0 Show data context 0 Show data context 1 Show data context
Building 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 1 Show data context 4 Show data context 8 Show data context 2 Show data context 0 Show data context 0 Show data context 1 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 1 Show data context 3 Show data context 1 Show data context 2 Show data context 8 Show data context 8 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 0 Show data context 0 Show data context 0 Show data context 0 Show data context 1 Show data context 0 Show data context 5 Show data context 2 Show data context 0 Show data context 1 Show data context 1 Show data context
Skins, Leather 0 Show data context 0 Show data context 0 Show data context 2 Show data context 0 Show data context 0 Show data context 0 Show data context 0 Show data context 2 Show data context 5 Show data context 1 Show data context 1 Show data context 0 Show data context 1 Show data context
Paper, Prints 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 2 Show data context 2 Show data context 1 Show data context 0 Show data context 0 Show data context
Textile Fabrics 0 Show data context 1 Show data context 2 Show data context 1 Show data context 6 Show data context 8 Show data context 5 Show data context 5 Show data context 17 Show data context 18 Show data context 17 Show data context 6 Show data context 7 Show data context 0 Show data context
Dress 0 Show data context 0 Show data context 6 Show data context 12 Show data context 4 Show data context 15 Show data context 15 Show data context 14 Show data context 61 Show data context 66 Show data context 24 Show data context 15 Show data context 12 Show data context 2 Show data context
Food, Drink 0 Show data context 0 Show data context 22 Show data context 42 Show data context 51 Show data context 48 Show data context 46 Show data context 41 Show data context 181 Show data context 193 Show data context 143 Show data context 105 Show data context 59 Show data context 28 Show data context
Gas, Water 0 Show data context 0 Show data context 6 Show data context 19 Show data context 13 Show data context 28 Show data context 25 Show data context 26 Show data context 138 Show data context 208 Show data context 286 Show data context 318 Show data context 207 Show data context 86 Show data context
Other & Undefined
Unoccupied 0 Show data context 0 Show data context 1 Show data context 8 Show data context 11 Show data context 9 Show data context 10 Show data context 8 Show data context 21 Show data context 35 Show data context 23 Show data context 9 Show data context 6 Show data context 4 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, Southend on Sea County Borough (CB/MB) 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/10135618/cube/OCC_ORD1911_AGESEX

Date accessed: 09th June 2026