West Bromwich 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 6 Show data context 0 Show data context 2 Show data context 6 Show data context 1 Show data context 0 Show data context 5 Show data context 25 Show data context 84 Show data context 53 Show data context 28 Show data context 11 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 1 Show data context 3 Show data context 2 Show data context 4 Show data context 0 Show data context 0 Show data context 0 Show data context
Professional Occupations 0 Show data context 1 Show data context 4 Show data context 9 Show data context 4 Show data context 7 Show data context 9 Show data context 7 Show data context 61 Show data context 109 Show data context 101 Show data context 73 Show data context 22 Show data context 18 Show data context
Domestic Services 0 Show data context 1 Show data context 2 Show data context 2 Show data context 6 Show data context 3 Show data context 3 Show data context 0 Show data context 6 Show data context 33 Show data context 33 Show data context 21 Show data context 19 Show data context 10 Show data context
Commercial Occupations 0 Show data context 11 Show data context 23 Show data context 23 Show data context 31 Show data context 44 Show data context 29 Show data context 41 Show data context 156 Show data context 248 Show data context 165 Show data context 84 Show data context 55 Show data context 24 Show data context
Transport 12 Show data context 145 Show data context 108 Show data context 68 Show data context 38 Show data context 28 Show data context 34 Show data context 37 Show data context 186 Show data context 433 Show data context 384 Show data context 228 Show data context 152 Show data context 66 Show data context
Agriculture 0 Show data context 2 Show data context 5 Show data context 3 Show data context 5 Show data context 4 Show data context 4 Show data context 8 Show data context 14 Show data context 25 Show data context 32 Show data context 29 Show data context 32 Show data context 13 Show data context
Mines & Quarries
Metals, Machines 0 Show data context 1 Show data context 6 Show data context 20 Show data context 23 Show data context 25 Show data context 19 Show data context 28 Show data context 100 Show data context 305 Show data context 304 Show data context 235 Show data context 161 Show data context 60 Show data context
Jewelry, Instruments 0 Show data context 202 Show data context 284 Show data context 329 Show data context 355 Show data context 307 Show data context 356 Show data context 325 Show data context 1,414 Show data context 2,477 Show data context 1,851 Show data context 1,341 Show data context 758 Show data context 278 Show data context
Building 0 Show data context 9 Show data context 19 Show data context 21 Show data context 23 Show data context 18 Show data context 16 Show data context 11 Show data context 50 Show data context 106 Show data context 106 Show data context 58 Show data context 35 Show data context 18 Show data context
Wood, Furniture 0 Show data context 9 Show data context 18 Show data context 19 Show data context 15 Show data context 23 Show data context 22 Show data context 31 Show data context 133 Show data context 349 Show data context 304 Show data context 186 Show data context 119 Show data context 53 Show data context
Brick, Cement 0 Show data context 9 Show data context 11 Show data context 20 Show data context 20 Show data context 12 Show data context 9 Show data context 19 Show data context 60 Show data context 103 Show data context 62 Show data context 50 Show data context 32 Show data context 9 Show data context
Chemicals 0 Show data context 13 Show data context 30 Show data context 41 Show data context 51 Show data context 57 Show data context 34 Show data context 33 Show data context 149 Show data context 213 Show data context 156 Show data context 75 Show data context 59 Show data context 31 Show data context
Skins, Leather 0 Show data context 1 Show data context 1 Show data context 1 Show data context 2 Show data context 7 Show data context 3 Show data context 2 Show data context 19 Show data context 84 Show data context 76 Show data context 40 Show data context 19 Show data context 14 Show data context
Paper, Prints 0 Show data context 0 Show data context 3 Show data context 1 Show data context 6 Show data context 2 Show data context 3 Show data context 2 Show data context 12 Show data context 16 Show data context 15 Show data context 15 Show data context 9 Show data context 4 Show data context
Textile Fabrics 0 Show data context 6 Show data context 19 Show data context 16 Show data context 19 Show data context 14 Show data context 15 Show data context 12 Show data context 60 Show data context 92 Show data context 50 Show data context 25 Show data context 10 Show data context 2 Show data context
Dress 0 Show data context 1 Show data context 1 Show data context 2 Show data context 2 Show data context 0 Show data context 0 Show data context 4 Show data context 18 Show data context 22 Show data context 11 Show data context 10 Show data context 5 Show data context 3 Show data context
Food, Drink 1 Show data context 3 Show data context 11 Show data context 9 Show data context 4 Show data context 9 Show data context 9 Show data context 7 Show data context 59 Show data context 75 Show data context 78 Show data context 54 Show data context 27 Show data context 17 Show data context
Gas, Water 0 Show data context 11 Show data context 15 Show data context 26 Show data context 24 Show data context 28 Show data context 27 Show data context 35 Show data context 143 Show data context 326 Show data context 281 Show data context 219 Show data context 120 Show data context 51 Show data context
Other & Undefined 0 Show data context 1 Show data context 1 Show data context 1 Show data context 3 Show data context 6 Show data context 4 Show data context 2 Show data context 13 Show data context 58 Show data context 83 Show data context 65 Show data context 39 Show data context 15 Show data context
Unoccupied 8 Show data context 14 Show data context 9 Show data context 11 Show data context 10 Show data context 10 Show data context 19 Show data context 8 Show data context 71 Show data context 168 Show data context 183 Show data context 141 Show data context 101 Show data context 47 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 3 Show data context 0 Show data context 1 Show data context 19 Show data context 26 Show data context 14 Show data context 4 Show data context 6 Show data context 1 Show data context
Defence
Professional Occupations 0 Show data context 1 Show data context 2 Show data context 6 Show data context 1 Show data context 13 Show data context 7 Show data context 14 Show data context 129 Show data context 146 Show data context 59 Show data context 45 Show data context 17 Show data context 8 Show data context
Domestic Services 0 Show data context 44 Show data context 90 Show data context 96 Show data context 116 Show data context 112 Show data context 106 Show data context 112 Show data context 426 Show data context 285 Show data context 189 Show data context 137 Show data context 86 Show data context 44 Show data context
Commercial Occupations 0 Show data context 4 Show data context 12 Show data context 18 Show data context 27 Show data context 24 Show data context 26 Show data context 34 Show data context 82 Show data context 55 Show data context 10 Show data context 2 Show data context 1 Show data context 1 Show data context
Transport 0 Show data context 9 Show data context 12 Show data context 6 Show data context 3 Show data context 1 Show data context 4 Show data context 3 Show data context 3 Show data context 3 Show data context 0 Show data context 0 Show data context 0 Show data context 2 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 2 Show data context 1 Show data context 1 Show data context 2 Show data context 0 Show data context 1 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 1 Show data context 2 Show data context 1 Show data context 2 Show data context 6 Show data context 7 Show data context 4 Show data context 4 Show data context 1 Show data context
Jewelry, Instruments 0 Show data context 29 Show data context 67 Show data context 110 Show data context 129 Show data context 107 Show data context 113 Show data context 122 Show data context 251 Show data context 125 Show data context 47 Show data context 20 Show data context 7 Show data context 4 Show data context
Building 0 Show data context 12 Show data context 21 Show data context 19 Show data context 16 Show data context 25 Show data context 18 Show data context 11 Show data context 52 Show data context 24 Show data context 9 Show data context 4 Show data context 4 Show data context 1 Show data context
Wood, Furniture
Brick, Cement 0 Show data context 1 Show data context 0 Show data context 7 Show data context 3 Show data context 3 Show data context 10 Show data context 3 Show data context 32 Show data context 17 Show data context 6 Show data context 5 Show data context 1 Show data context 1 Show data context
Chemicals 0 Show data context 0 Show data context 1 Show data context 7 Show data context 6 Show data context 3 Show data context 7 Show data context 9 Show data context 20 Show data context 19 Show data context 12 Show data context 4 Show data context 3 Show data context 1 Show data context
Skins, Leather 0 Show data context 5 Show data context 8 Show data context 7 Show data context 8 Show data context 10 Show data context 9 Show data context 10 Show data context 58 Show data context 42 Show data context 14 Show data context 13 Show data context 7 Show data context 1 Show data context
Paper, Prints 0 Show data context 4 Show data context 7 Show data context 1 Show data context 2 Show data context 3 Show data context 0 Show data context 1 Show data context 7 Show data context 2 Show data context 3 Show data context 1 Show data context 1 Show data context 1 Show data context
Textile Fabrics 0 Show data context 27 Show data context 50 Show data context 46 Show data context 66 Show data context 41 Show data context 44 Show data context 43 Show data context 132 Show data context 61 Show data context 9 Show data context 5 Show data context 5 Show data context 2 Show data context
Dress 0 Show data context 1 Show data context 4 Show data context 5 Show data context 3 Show data context 6 Show data context 2 Show data context 7 Show data context 28 Show data context 33 Show data context 18 Show data context 11 Show data context 3 Show data context 0 Show data context
Food, Drink 0 Show data context 38 Show data context 44 Show data context 52 Show data context 52 Show data context 43 Show data context 59 Show data context 61 Show data context 168 Show data context 155 Show data context 71 Show data context 50 Show data context 30 Show data context 11 Show data context
Gas, Water 0 Show data context 13 Show data context 8 Show data context 22 Show data context 17 Show data context 23 Show data context 21 Show data context 19 Show data context 92 Show data context 160 Show data context 130 Show data context 107 Show data context 59 Show data context 43 Show data context
Other & Undefined
Unoccupied 0 Show data context 5 Show data context 11 Show data context 7 Show data context 9 Show data context 5 Show data context 10 Show data context 13 Show data context 29 Show data context 32 Show data context 35 Show data context 24 Show data context 17 Show data context 11 Show data context

Click on the triangles for all about a particular number

nCube definition

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"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".

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nCube definition


All persons of working age (15 or above in 1951), categorised by gender and the system of 28 occupational 'Orders' used by the 1951 Census of Population. This includes the 'Unoccupied and Retired' who constitute Order 28.


How to reference this page:

GB Historical GIS / University of Portsmouth, West Bromwich 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/10173115/cube/OCC_ORD1911_AGESEX

Date accessed: 08th June 2026