Southampton 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 0 Show data context 39 Show data context 42 Show data context 23 Show data context 16 Show data context 15 Show data context 13 Show data context 95 Show data context 350 Show data context 387 Show data context 320 Show data context 78 Show data context 14 Show data context
Defence 0 Show data context 0 Show data context 0 Show data context 0 Show data context 4 Show data context 4 Show data context 4 Show data context 8 Show data context 99 Show data context 167 Show data context 75 Show data context 25 Show data context 33 Show data context 25 Show data context
Professional Occupations 2 Show data context 0 Show data context 5 Show data context 15 Show data context 21 Show data context 17 Show data context 22 Show data context 16 Show data context 124 Show data context 357 Show data context 304 Show data context 234 Show data context 124 Show data context 63 Show data context
Domestic Services 1 Show data context 1 Show data context 42 Show data context 35 Show data context 21 Show data context 25 Show data context 19 Show data context 19 Show data context 89 Show data context 151 Show data context 146 Show data context 121 Show data context 60 Show data context 30 Show data context
Commercial Occupations 0 Show data context 2 Show data context 24 Show data context 53 Show data context 57 Show data context 73 Show data context 83 Show data context 74 Show data context 360 Show data context 615 Show data context 455 Show data context 295 Show data context 166 Show data context 58 Show data context
Transport 10 Show data context 29 Show data context 273 Show data context 330 Show data context 276 Show data context 259 Show data context 236 Show data context 208 Show data context 1,209 Show data context 3,112 Show data context 2,736 Show data context 1,974 Show data context 968 Show data context 283 Show data context
Agriculture 0 Show data context 0 Show data context 8 Show data context 7 Show data context 13 Show data context 12 Show data context 8 Show data context 6 Show data context 53 Show data context 89 Show data context 88 Show data context 86 Show data context 102 Show data context 81 Show data context
Mines & Quarries
Metals, Machines 0 Show data context 0 Show data context 1 Show data context 0 Show data context 0 Show data context 3 Show data context 2 Show data context 1 Show data context 9 Show data context 32 Show data context 27 Show data context 18 Show data context 10 Show data context 8 Show data context
Jewelry, Instruments 0 Show data context 0 Show data context 18 Show data context 62 Show data context 110 Show data context 121 Show data context 138 Show data context 135 Show data context 581 Show data context 1,016 Show data context 862 Show data context 643 Show data context 383 Show data context 131 Show data context
Building 0 Show data context 0 Show data context 0 Show data context 6 Show data context 5 Show data context 6 Show data context 5 Show data context 7 Show data context 38 Show data context 63 Show data context 53 Show data context 44 Show data context 23 Show data context 16 Show data context
Wood, Furniture 0 Show data context 0 Show data context 16 Show data context 29 Show data context 48 Show data context 55 Show data context 59 Show data context 53 Show data context 338 Show data context 841 Show data context 787 Show data context 618 Show data context 350 Show data context 136 Show data context
Brick, Cement 0 Show data context 0 Show data context 5 Show data context 10 Show data context 16 Show data context 25 Show data context 15 Show data context 21 Show data context 99 Show data context 201 Show data context 199 Show data context 130 Show data context 79 Show data context 34 Show data context
Chemicals 0 Show data context 0 Show data context 0 Show data context 3 Show data context 3 Show data context 3 Show data context 4 Show data context 3 Show data context 19 Show data context 27 Show data context 30 Show data context 21 Show data context 5 Show data context 4 Show data context
Skins, Leather 0 Show data context 0 Show data context 0 Show data context 3 Show data context 11 Show data context 3 Show data context 12 Show data context 4 Show data context 36 Show data context 65 Show data context 49 Show data context 33 Show data context 30 Show data context 6 Show data context
Paper, Prints 0 Show data context 0 Show data context 0 Show data context 2 Show data context 6 Show data context 1 Show data context 2 Show data context 4 Show data context 10 Show data context 21 Show data context 28 Show data context 20 Show data context 9 Show data context 9 Show data context
Textile Fabrics 0 Show data context 1 Show data context 15 Show data context 8 Show data context 22 Show data context 18 Show data context 19 Show data context 17 Show data context 74 Show data context 120 Show data context 102 Show data context 89 Show data context 39 Show data context 18 Show data context
Dress 0 Show data context 1 Show data context 2 Show data context 4 Show data context 8 Show data context 7 Show data context 13 Show data context 4 Show data context 46 Show data context 73 Show data context 77 Show data context 52 Show data context 27 Show data context 12 Show data context
Food, Drink 1 Show data context 3 Show data context 15 Show data context 25 Show data context 43 Show data context 32 Show data context 35 Show data context 27 Show data context 124 Show data context 295 Show data context 237 Show data context 129 Show data context 72 Show data context 64 Show data context
Gas, Water 0 Show data context 0 Show data context 52 Show data context 94 Show data context 105 Show data context 140 Show data context 116 Show data context 123 Show data context 487 Show data context 848 Show data context 732 Show data context 488 Show data context 269 Show data context 111 Show data context
Other & Undefined 0 Show data context 0 Show data context 1 Show data context 1 Show data context 4 Show data context 3 Show data context 4 Show data context 3 Show data context 33 Show data context 94 Show data context 126 Show data context 94 Show data context 48 Show data context 15 Show data context
Unoccupied 13 Show data context 25 Show data context 25 Show data context 43 Show data context 53 Show data context 54 Show data context 65 Show data context 61 Show data context 269 Show data context 532 Show data context 561 Show data context 402 Show data context 228 Show data context 109 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 5 Show data context 8 Show data context 11 Show data context 9 Show data context 54 Show data context 74 Show data context 29 Show data context 9 Show data context 9 Show data context 1 Show data context
Defence
Professional Occupations 0 Show data context 0 Show data context 3 Show data context 5 Show data context 8 Show data context 13 Show data context 31 Show data context 37 Show data context 239 Show data context 393 Show data context 260 Show data context 161 Show data context 88 Show data context 28 Show data context
Domestic Services 0 Show data context 3 Show data context 139 Show data context 280 Show data context 348 Show data context 379 Show data context 403 Show data context 413 Show data context 1,524 Show data context 1,066 Show data context 588 Show data context 465 Show data context 250 Show data context 132 Show data context
Commercial Occupations 0 Show data context 0 Show data context 5 Show data context 23 Show data context 22 Show data context 38 Show data context 39 Show data context 35 Show data context 157 Show data context 94 Show data context 32 Show data context 15 Show data context 4 Show data context 2 Show data context
Transport 0 Show data context 0 Show data context 3 Show data context 0 Show data context 1 Show data context 3 Show data context 4 Show data context 4 Show data context 22 Show data context 15 Show data context 18 Show data context 11 Show data context 4 Show data context 3 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 1 Show data context 1 Show data context 0 Show data context 1 Show data context 3 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 0 Show data context 2 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 1 Show data context 0 Show data context 2 Show data context 6 Show data context 4 Show data context 2 Show data context 3 Show data context 1 Show data context
Building 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 2 Show data context 4 Show data context 5 Show data context 2 Show data context 4 Show data context 2 Show data context 1 Show data context
Wood, Furniture
Brick, Cement 0 Show data context 0 Show data context 0 Show data context 1 Show data context 1 Show data context 7 Show data context 5 Show data context 4 Show data context 20 Show data context 16 Show data context 10 Show data context 10 Show data context 9 Show data context 7 Show data context
Chemicals 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 3 Show data context 6 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 2 Show data context 0 Show data context 1 Show data context 2 Show data context 2 Show data context 3 Show data context 6 Show data context 6 Show data context 2 Show data context 0 Show data context 0 Show data context 0 Show data context
Paper, Prints 0 Show data context 0 Show data context 0 Show data context 2 Show data context 2 Show data context 1 Show data context 0 Show data context 1 Show data context 6 Show data context 7 Show data context 2 Show data context 1 Show data context 1 Show data context 1 Show data context
Textile Fabrics 0 Show data context 0 Show data context 7 Show data context 7 Show data context 6 Show data context 9 Show data context 17 Show data context 9 Show data context 74 Show data context 55 Show data context 20 Show data context 8 Show data context 6 Show data context 2 Show data context
Dress 0 Show data context 0 Show data context 5 Show data context 14 Show data context 19 Show data context 26 Show data context 30 Show data context 31 Show data context 113 Show data context 117 Show data context 42 Show data context 23 Show data context 6 Show data context 5 Show data context
Food, Drink 0 Show data context 0 Show data context 62 Show data context 122 Show data context 140 Show data context 125 Show data context 120 Show data context 100 Show data context 443 Show data context 364 Show data context 223 Show data context 163 Show data context 105 Show data context 60 Show data context
Gas, Water 0 Show data context 0 Show data context 9 Show data context 21 Show data context 48 Show data context 42 Show data context 69 Show data context 58 Show data context 302 Show data context 325 Show data context 282 Show data context 290 Show data context 185 Show data context 86 Show data context
Other & Undefined
Unoccupied 0 Show data context 0 Show data context 6 Show data context 9 Show data context 16 Show data context 16 Show data context 13 Show data context 12 Show data context 73 Show data context 56 Show data context 62 Show data context 47 Show data context 35 Show data context 24 Show data context

Click on the triangles for all about a particular number

nCube definition

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nCube definition


Total number of persons eligible for voluntary schooling.


How to reference this page:

GB Historical GIS / University of Portsmouth, Southampton 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/10135760/cube/OCC_ORD1911_AGESEX

Date accessed: 10th June 2026