Rochdale 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 8 Show data context 7 Show data context 3 Show data context 5 Show data context 4 Show data context 6 Show data context 30 Show data context 98 Show data context 103 Show data context 67 Show data context 21 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 0 Show data context 1 Show data context 3 Show data context 4 Show data context 2 Show data context 1 Show data context 0 Show data context 0 Show data context
Professional Occupations 0 Show data context 3 Show data context 4 Show data context 3 Show data context 5 Show data context 8 Show data context 9 Show data context 7 Show data context 60 Show data context 203 Show data context 175 Show data context 114 Show data context 58 Show data context 27 Show data context
Domestic Services 1 Show data context 3 Show data context 1 Show data context 1 Show data context 3 Show data context 4 Show data context 4 Show data context 3 Show data context 35 Show data context 93 Show data context 110 Show data context 95 Show data context 59 Show data context 29 Show data context
Commercial Occupations 0 Show data context 4 Show data context 15 Show data context 28 Show data context 42 Show data context 43 Show data context 48 Show data context 44 Show data context 223 Show data context 368 Show data context 317 Show data context 192 Show data context 119 Show data context 34 Show data context
Transport 34 Show data context 87 Show data context 62 Show data context 47 Show data context 24 Show data context 29 Show data context 34 Show data context 28 Show data context 242 Show data context 691 Show data context 578 Show data context 349 Show data context 163 Show data context 40 Show data context
Agriculture 2 Show data context 3 Show data context 0 Show data context 5 Show data context 6 Show data context 6 Show data context 6 Show data context 4 Show data context 34 Show data context 70 Show data context 81 Show data context 52 Show data context 43 Show data context 37 Show data context
Mines & Quarries
Metals, Machines 0 Show data context 0 Show data context 1 Show data context 2 Show data context 3 Show data context 4 Show data context 3 Show data context 6 Show data context 27 Show data context 58 Show data context 49 Show data context 29 Show data context 28 Show data context 12 Show data context
Jewelry, Instruments 26 Show data context 57 Show data context 88 Show data context 90 Show data context 95 Show data context 148 Show data context 161 Show data context 154 Show data context 777 Show data context 1,501 Show data context 1,227 Show data context 785 Show data context 396 Show data context 108 Show data context
Building 0 Show data context 0 Show data context 2 Show data context 2 Show data context 3 Show data context 0 Show data context 1 Show data context 4 Show data context 8 Show data context 30 Show data context 36 Show data context 14 Show data context 14 Show data context 8 Show data context
Wood, Furniture 0 Show data context 7 Show data context 11 Show data context 17 Show data context 22 Show data context 19 Show data context 27 Show data context 25 Show data context 182 Show data context 610 Show data context 500 Show data context 433 Show data context 220 Show data context 78 Show data context
Brick, Cement 0 Show data context 2 Show data context 8 Show data context 7 Show data context 6 Show data context 15 Show data context 12 Show data context 14 Show data context 61 Show data context 134 Show data context 110 Show data context 88 Show data context 57 Show data context 25 Show data context
Chemicals 0 Show data context 0 Show data context 0 Show data context 1 Show data context 0 Show data context 1 Show data context 3 Show data context 6 Show data context 18 Show data context 31 Show data context 26 Show data context 16 Show data context 5 Show data context 6 Show data context
Skins, Leather 0 Show data context 3 Show data context 5 Show data context 1 Show data context 3 Show data context 3 Show data context 2 Show data context 3 Show data context 22 Show data context 42 Show data context 49 Show data context 29 Show data context 14 Show data context 6 Show data context
Paper, Prints 0 Show data context 1 Show data context 5 Show data context 4 Show data context 2 Show data context 10 Show data context 6 Show data context 4 Show data context 34 Show data context 77 Show data context 71 Show data context 51 Show data context 28 Show data context 14 Show data context
Textile Fabrics 15 Show data context 31 Show data context 23 Show data context 25 Show data context 22 Show data context 30 Show data context 27 Show data context 17 Show data context 88 Show data context 144 Show data context 101 Show data context 55 Show data context 28 Show data context 5 Show data context
Dress 213 Show data context 349 Show data context 435 Show data context 408 Show data context 367 Show data context 382 Show data context 356 Show data context 302 Show data context 1,403 Show data context 2,205 Show data context 1,998 Show data context 1,324 Show data context 678 Show data context 199 Show data context
Food, Drink 4 Show data context 6 Show data context 9 Show data context 12 Show data context 18 Show data context 13 Show data context 14 Show data context 18 Show data context 91 Show data context 220 Show data context 163 Show data context 121 Show data context 94 Show data context 39 Show data context
Gas, Water 0 Show data context 21 Show data context 31 Show data context 37 Show data context 39 Show data context 34 Show data context 35 Show data context 38 Show data context 190 Show data context 468 Show data context 439 Show data context 372 Show data context 181 Show data context 66 Show data context
Other & Undefined 0 Show data context 0 Show data context 1 Show data context 0 Show data context 1 Show data context 0 Show data context 1 Show data context 0 Show data context 14 Show data context 67 Show data context 96 Show data context 82 Show data context 56 Show data context 26 Show data context
Unoccupied 22 Show data context 5 Show data context 11 Show data context 11 Show data context 11 Show data context 13 Show data context 10 Show data context 18 Show data context 104 Show data context 345 Show data context 357 Show data context 275 Show data context 155 Show data context 79 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 1 Show data context 2 Show data context 4 Show data context 9 Show data context 11 Show data context 2 Show data context 1 Show data context 1 Show data context
Defence
Professional Occupations 0 Show data context 0 Show data context 1 Show data context 3 Show data context 3 Show data context 8 Show data context 16 Show data context 17 Show data context 125 Show data context 213 Show data context 110 Show data context 53 Show data context 21 Show data context 11 Show data context
Domestic Services 3 Show data context 5 Show data context 16 Show data context 18 Show data context 26 Show data context 42 Show data context 51 Show data context 58 Show data context 305 Show data context 399 Show data context 329 Show data context 307 Show data context 237 Show data context 97 Show data context
Commercial Occupations 0 Show data context 1 Show data context 5 Show data context 7 Show data context 12 Show data context 11 Show data context 16 Show data context 12 Show data context 48 Show data context 41 Show data context 5 Show data context 2 Show data context 1 Show data context 1 Show data context
Transport 0 Show data context 1 Show data context 2 Show data context 4 Show data context 2 Show data context 2 Show data context 3 Show data context 1 Show data context 5 Show data context 5 Show data context 0 Show data context 0 Show data context 4 Show data context 3 Show data context
Agriculture 0 Show data context 5 Show data context 3 Show data context 1 Show data context 2 Show data context 2 Show data context 0 Show data context 2 Show data context 9 Show data context 9 Show data context 5 Show data context 4 Show data context 2 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 0 Show data context 0 Show data context 0 Show data context 3 Show data context 2 Show data context 0 Show data context 1 Show data context 0 Show data context 0 Show data context
Jewelry, Instruments 6 Show data context 16 Show data context 9 Show data context 11 Show data context 3 Show data context 7 Show data context 6 Show data context 5 Show data context 16 Show data context 16 Show data context 9 Show data context 7 Show data context 7 Show data context 6 Show data context
Building 0 Show data context 0 Show data context 0 Show data context 1 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 2 Show data context 3 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 1 Show data context 0 Show data context 2 Show data context 1 Show data context 1 Show data context 0 Show data context
Brick, Cement 0 Show data context 3 Show data context 3 Show data context 4 Show data context 3 Show data context 2 Show data context 0 Show data context 2 Show data context 11 Show data context 7 Show data context 5 Show data context 9 Show data context 6 Show data context 2 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 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
Skins, Leather 0 Show data context 2 Show data context 1 Show data context 1 Show data context 2 Show data context 3 Show data context 1 Show data context 2 Show data context 6 Show data context 10 Show data context 4 Show data context 3 Show data context 3 Show data context 2 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 0 Show data context 1 Show data context 0 Show data context 1 Show data context 1 Show data context 1 Show data context 2 Show data context 1 Show data context
Textile Fabrics 12 Show data context 22 Show data context 20 Show data context 10 Show data context 17 Show data context 13 Show data context 15 Show data context 13 Show data context 49 Show data context 51 Show data context 32 Show data context 16 Show data context 11 Show data context 2 Show data context
Dress 243 Show data context 517 Show data context 621 Show data context 609 Show data context 610 Show data context 631 Show data context 621 Show data context 597 Show data context 2,684 Show data context 3,437 Show data context 1,871 Show data context 976 Show data context 340 Show data context 65 Show data context
Food, Drink 3 Show data context 22 Show data context 36 Show data context 39 Show data context 29 Show data context 52 Show data context 34 Show data context 40 Show data context 184 Show data context 269 Show data context 131 Show data context 97 Show data context 45 Show data context 21 Show data context
Gas, Water 3 Show data context 16 Show data context 16 Show data context 22 Show data context 16 Show data context 14 Show data context 10 Show data context 20 Show data context 136 Show data context 262 Show data context 296 Show data context 266 Show data context 143 Show data context 56 Show data context
Other & Undefined
Unoccupied 0 Show data context 1 Show data context 2 Show data context 3 Show data context 4 Show data context 0 Show data context 2 Show data context 1 Show data context 15 Show data context 33 Show data context 23 Show data context 29 Show data context 18 Show data context 15 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".

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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, Rochdale 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/10136945/cube/OCC_ORD1911_AGESEX

Date accessed: 09th June 2026