Birkenhead 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 4 Show data context 18 Show data context 19 Show data context 17 Show data context 19 Show data context 16 Show data context 14 Show data context 109 Show data context 347 Show data context 242 Show data context 164 Show data context 52 Show data context 22 Show data context
Defence 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 2 Show data context 5 Show data context 13 Show data context 12 Show data context 7 Show data context 4 Show data context 1 Show data context
Professional Occupations 1 Show data context 1 Show data context 7 Show data context 12 Show data context 16 Show data context 22 Show data context 23 Show data context 16 Show data context 128 Show data context 343 Show data context 259 Show data context 220 Show data context 103 Show data context 55 Show data context
Domestic Services 0 Show data context 1 Show data context 6 Show data context 8 Show data context 23 Show data context 17 Show data context 19 Show data context 19 Show data context 113 Show data context 203 Show data context 169 Show data context 114 Show data context 65 Show data context 38 Show data context
Commercial Occupations 0 Show data context 3 Show data context 8 Show data context 62 Show data context 109 Show data context 140 Show data context 139 Show data context 121 Show data context 602 Show data context 936 Show data context 689 Show data context 421 Show data context 293 Show data context 125 Show data context
Transport 45 Show data context 73 Show data context 404 Show data context 355 Show data context 267 Show data context 222 Show data context 209 Show data context 241 Show data context 1,340 Show data context 2,722 Show data context 2,203 Show data context 1,370 Show data context 705 Show data context 259 Show data context
Agriculture 0 Show data context 0 Show data context 5 Show data context 10 Show data context 6 Show data context 8 Show data context 8 Show data context 12 Show data context 38 Show data context 74 Show data context 94 Show data context 97 Show data context 65 Show data context 34 Show data context
Mines & Quarries
Metals, Machines 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 3 Show data context 15 Show data context 60 Show data context 53 Show data context 55 Show data context 33 Show data context 22 Show data context
Jewelry, Instruments 0 Show data context 2 Show data context 115 Show data context 210 Show data context 297 Show data context 333 Show data context 317 Show data context 290 Show data context 1,509 Show data context 2,618 Show data context 1,854 Show data context 1,230 Show data context 696 Show data context 289 Show data context
Building 0 Show data context 0 Show data context 1 Show data context 3 Show data context 0 Show data context 5 Show data context 3 Show data context 2 Show data context 17 Show data context 40 Show data context 32 Show data context 27 Show data context 18 Show data context 8 Show data context
Wood, Furniture 0 Show data context 0 Show data context 17 Show data context 42 Show data context 46 Show data context 54 Show data context 71 Show data context 72 Show data context 368 Show data context 882 Show data context 666 Show data context 543 Show data context 291 Show data context 125 Show data context
Brick, Cement 0 Show data context 0 Show data context 9 Show data context 22 Show data context 32 Show data context 28 Show data context 33 Show data context 26 Show data context 135 Show data context 274 Show data context 142 Show data context 102 Show data context 70 Show data context 26 Show data context
Chemicals 0 Show data context 0 Show data context 1 Show data context 2 Show data context 3 Show data context 3 Show data context 0 Show data context 4 Show data context 18 Show data context 25 Show data context 20 Show data context 9 Show data context 10 Show data context 6 Show data context
Skins, Leather 0 Show data context 0 Show data context 20 Show data context 36 Show data context 27 Show data context 38 Show data context 33 Show data context 29 Show data context 133 Show data context 265 Show data context 197 Show data context 92 Show data context 46 Show data context 16 Show data context
Paper, Prints 0 Show data context 0 Show data context 1 Show data context 1 Show data context 3 Show data context 1 Show data context 4 Show data context 6 Show data context 9 Show data context 35 Show data context 22 Show data context 21 Show data context 8 Show data context 6 Show data context
Textile Fabrics 0 Show data context 1 Show data context 5 Show data context 11 Show data context 13 Show data context 18 Show data context 16 Show data context 16 Show data context 52 Show data context 135 Show data context 100 Show data context 53 Show data context 36 Show data context 10 Show data context
Dress 0 Show data context 0 Show data context 2 Show data context 8 Show data context 3 Show data context 13 Show data context 6 Show data context 8 Show data context 76 Show data context 92 Show data context 68 Show data context 42 Show data context 29 Show data context 13 Show data context
Food, Drink 1 Show data context 6 Show data context 10 Show data context 20 Show data context 13 Show data context 21 Show data context 12 Show data context 22 Show data context 94 Show data context 196 Show data context 192 Show data context 113 Show data context 65 Show data context 43 Show data context
Gas, Water 1 Show data context 1 Show data context 47 Show data context 78 Show data context 82 Show data context 120 Show data context 98 Show data context 83 Show data context 453 Show data context 831 Show data context 670 Show data context 435 Show data context 220 Show data context 97 Show data context
Other & Undefined 0 Show data context 0 Show data context 0 Show data context 0 Show data context 1 Show data context 6 Show data context 8 Show data context 2 Show data context 35 Show data context 126 Show data context 152 Show data context 101 Show data context 36 Show data context 29 Show data context
Unoccupied 19 Show data context 17 Show data context 22 Show data context 20 Show data context 39 Show data context 52 Show data context 58 Show data context 58 Show data context 228 Show data context 530 Show data context 562 Show data context 390 Show data context 215 Show data context 99 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 3 Show data context 6 Show data context 6 Show data context 9 Show data context 33 Show data context 65 Show data context 30 Show data context 11 Show data context 3 Show data context 2 Show data context
Defence
Professional Occupations 0 Show data context 0 Show data context 4 Show data context 5 Show data context 9 Show data context 16 Show data context 29 Show data context 26 Show data context 287 Show data context 528 Show data context 267 Show data context 170 Show data context 75 Show data context 35 Show data context
Domestic Services 2 Show data context 11 Show data context 148 Show data context 262 Show data context 311 Show data context 360 Show data context 367 Show data context 361 Show data context 1,598 Show data context 1,567 Show data context 758 Show data context 549 Show data context 299 Show data context 119 Show data context
Commercial Occupations 0 Show data context 1 Show data context 2 Show data context 14 Show data context 34 Show data context 37 Show data context 42 Show data context 53 Show data context 183 Show data context 148 Show data context 34 Show data context 10 Show data context 4 Show data context 1 Show data context
Transport 0 Show data context 0 Show data context 8 Show data context 7 Show data context 4 Show data context 6 Show data context 9 Show data context 8 Show data context 23 Show data context 22 Show data context 8 Show data context 4 Show data context 2 Show data context 1 Show data context
Agriculture 0 Show data context 0 Show data context 0 Show data context 1 Show data context 1 Show data context 1 Show data context 0 Show data context 1 Show data context 0 Show data context 2 Show data context 2 Show data context 0 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 1 Show data context 0 Show data context 0 Show data context 0 Show data context 0 Show data context 1 Show data context 4 Show data context 2 Show data context 3 Show data context 1 Show data context 0 Show data context
Jewelry, Instruments 0 Show data context 0 Show data context 6 Show data context 6 Show data context 9 Show data context 5 Show data context 5 Show data context 7 Show data context 12 Show data context 17 Show data context 6 Show data context 3 Show data context 1 Show data context 1 Show data context
Building 0 Show data context 0 Show data context 2 Show data context 0 Show data context 3 Show data context 1 Show data context 3 Show data context 1 Show data context 5 Show data context 8 Show data context 5 Show data context 2 Show data context 0 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 0 Show data context 1 Show data context 0 Show data context
Brick, Cement 0 Show data context 0 Show data context 2 Show data context 2 Show data context 10 Show data context 5 Show data context 7 Show data context 8 Show data context 28 Show data context 25 Show data context 12 Show data context 14 Show data context 8 Show data context 6 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 2 Show data context 0 Show data context 4 Show data context 0 Show data context 3 Show data context 1 Show data context 0 Show data context 0 Show data context
Skins, Leather 0 Show data context 0 Show data context 35 Show data context 46 Show data context 69 Show data context 90 Show data context 75 Show data context 65 Show data context 256 Show data context 94 Show data context 6 Show data context 3 Show data context 3 Show data context 0 Show data context
Paper, Prints 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 1 Show data context 3 Show data context 10 Show data context 4 Show data context 3 Show data context 0 Show data context 0 Show data context
Textile Fabrics 0 Show data context 0 Show data context 35 Show data context 48 Show data context 45 Show data context 64 Show data context 39 Show data context 36 Show data context 122 Show data context 80 Show data context 24 Show data context 18 Show data context 15 Show data context 7 Show data context
Dress 0 Show data context 0 Show data context 16 Show data context 28 Show data context 18 Show data context 33 Show data context 32 Show data context 23 Show data context 95 Show data context 88 Show data context 55 Show data context 28 Show data context 21 Show data context 9 Show data context
Food, Drink 0 Show data context 1 Show data context 46 Show data context 87 Show data context 92 Show data context 102 Show data context 89 Show data context 84 Show data context 381 Show data context 368 Show data context 223 Show data context 151 Show data context 83 Show data context 42 Show data context
Gas, Water 0 Show data context 1 Show data context 12 Show data context 31 Show data context 39 Show data context 52 Show data context 54 Show data context 54 Show data context 272 Show data context 382 Show data context 291 Show data context 260 Show data context 160 Show data context 89 Show data context
Other & Undefined
Unoccupied 0 Show data context 0 Show data context 3 Show data context 8 Show data context 11 Show data context 12 Show data context 14 Show data context 12 Show data context 36 Show data context 95 Show data context 60 Show data context 54 Show data context 41 Show data context 23 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


From 1991 the census has gathered data on whether or not households had central heating, in at least some of their rooms, and in 2011 this was the only "amenity" data gathered.


How to reference this page:

GB Historical GIS / University of Portsmouth, Birkenhead 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/10027470/cube/OCC_ORD1911_AGESEX

Date accessed: 10th June 2026