Northamptonshire Administrative County (pre-1974) : 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 9 Show data context 28 Show data context 35 Show data context 18 Show data context 21 Show data context 20 Show data context 14 Show data context 135 Show data context 388 Show data context 295 Show data context 219 Show data context 96 Show data context 51 Show data context
Defence 0 Show data context 0 Show data context 0 Show data context 0 Show data context 3 Show data context 52 Show data context 79 Show data context 29 Show data context 235 Show data context 194 Show data context 87 Show data context 24 Show data context 11 Show data context 16 Show data context
Professional Occupations 1 Show data context 4 Show data context 8 Show data context 17 Show data context 33 Show data context 49 Show data context 69 Show data context 49 Show data context 261 Show data context 557 Show data context 506 Show data context 468 Show data context 241 Show data context 153 Show data context
Domestic Services 5 Show data context 41 Show data context 79 Show data context 101 Show data context 115 Show data context 94 Show data context 90 Show data context 128 Show data context 617 Show data context 1,073 Show data context 785 Show data context 563 Show data context 359 Show data context 180 Show data context
Commercial Occupations 0 Show data context 28 Show data context 59 Show data context 97 Show data context 138 Show data context 130 Show data context 111 Show data context 117 Show data context 505 Show data context 884 Show data context 700 Show data context 448 Show data context 215 Show data context 95 Show data context
Transport 91 Show data context 474 Show data context 381 Show data context 243 Show data context 139 Show data context 123 Show data context 132 Show data context 154 Show data context 815 Show data context 1,845 Show data context 1,626 Show data context 1,115 Show data context 671 Show data context 147 Show data context
Agriculture 13 Show data context 368 Show data context 543 Show data context 596 Show data context 549 Show data context 540 Show data context 517 Show data context 419 Show data context 1,776 Show data context 2,718 Show data context 2,595 Show data context 2,792 Show data context 2,215 Show data context 1,712 Show data context
Mines & Quarries
Metals, Machines 0 Show data context 4 Show data context 15 Show data context 23 Show data context 29 Show data context 46 Show data context 45 Show data context 65 Show data context 394 Show data context 826 Show data context 666 Show data context 554 Show data context 286 Show data context 67 Show data context
Jewelry, Instruments 0 Show data context 35 Show data context 100 Show data context 149 Show data context 177 Show data context 220 Show data context 193 Show data context 211 Show data context 882 Show data context 1,702 Show data context 1,284 Show data context 876 Show data context 505 Show data context 185 Show data context
Building 0 Show data context 4 Show data context 5 Show data context 8 Show data context 8 Show data context 5 Show data context 10 Show data context 9 Show data context 36 Show data context 62 Show data context 59 Show data context 47 Show data context 18 Show data context 12 Show data context
Wood, Furniture 1 Show data context 17 Show data context 37 Show data context 73 Show data context 94 Show data context 83 Show data context 97 Show data context 109 Show data context 666 Show data context 1,694 Show data context 1,399 Show data context 1,264 Show data context 949 Show data context 446 Show data context
Brick, Cement 0 Show data context 17 Show data context 38 Show data context 30 Show data context 46 Show data context 45 Show data context 44 Show data context 45 Show data context 229 Show data context 346 Show data context 286 Show data context 222 Show data context 149 Show data context 105 Show data context
Chemicals 0 Show data context 1 Show data context 5 Show data context 5 Show data context 11 Show data context 5 Show data context 6 Show data context 8 Show data context 32 Show data context 61 Show data context 67 Show data context 66 Show data context 31 Show data context 22 Show data context
Skins, Leather 0 Show data context 1 Show data context 2 Show data context 9 Show data context 11 Show data context 8 Show data context 1 Show data context 7 Show data context 16 Show data context 47 Show data context 53 Show data context 46 Show data context 18 Show data context 16 Show data context
Paper, Prints 0 Show data context 11 Show data context 33 Show data context 52 Show data context 60 Show data context 60 Show data context 67 Show data context 66 Show data context 285 Show data context 519 Show data context 485 Show data context 375 Show data context 234 Show data context 100 Show data context
Textile Fabrics 0 Show data context 28 Show data context 31 Show data context 35 Show data context 34 Show data context 39 Show data context 49 Show data context 47 Show data context 116 Show data context 211 Show data context 183 Show data context 85 Show data context 49 Show data context 31 Show data context
Dress 0 Show data context 2 Show data context 8 Show data context 12 Show data context 7 Show data context 12 Show data context 13 Show data context 16 Show data context 66 Show data context 115 Show data context 86 Show data context 57 Show data context 24 Show data context 23 Show data context
Food, Drink 9 Show data context 698 Show data context 1,072 Show data context 1,045 Show data context 1,082 Show data context 1,016 Show data context 932 Show data context 949 Show data context 3,741 Show data context 7,065 Show data context 6,035 Show data context 3,716 Show data context 1,881 Show data context 1,073 Show data context
Gas, Water 2 Show data context 78 Show data context 154 Show data context 176 Show data context 200 Show data context 217 Show data context 219 Show data context 210 Show data context 813 Show data context 1,478 Show data context 1,435 Show data context 1,028 Show data context 574 Show data context 274 Show data context
Other & Undefined 0 Show data context 1 Show data context 0 Show data context 2 Show data context 3 Show data context 4 Show data context 1 Show data context 5 Show data context 31 Show data context 163 Show data context 176 Show data context 148 Show data context 82 Show data context 30 Show data context
Unoccupied 118 Show data context 48 Show data context 50 Show data context 55 Show data context 53 Show data context 56 Show data context 68 Show data context 47 Show data context 268 Show data context 624 Show data context 694 Show data context 639 Show data context 517 Show data context 308 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 1 Show data context 2 Show data context 3 Show data context 3 Show data context 6 Show data context 10 Show data context 17 Show data context 74 Show data context 97 Show data context 59 Show data context 51 Show data context 22 Show data context 12 Show data context
Defence
Professional Occupations 0 Show data context 0 Show data context 5 Show data context 15 Show data context 46 Show data context 61 Show data context 92 Show data context 80 Show data context 582 Show data context 802 Show data context 401 Show data context 315 Show data context 154 Show data context 62 Show data context
Domestic Services 7 Show data context 250 Show data context 444 Show data context 547 Show data context 592 Show data context 675 Show data context 740 Show data context 659 Show data context 2,517 Show data context 2,154 Show data context 1,181 Show data context 1,021 Show data context 624 Show data context 345 Show data context
Commercial Occupations 0 Show data context 6 Show data context 29 Show data context 57 Show data context 70 Show data context 68 Show data context 75 Show data context 65 Show data context 262 Show data context 139 Show data context 37 Show data context 15 Show data context 1 Show data context 3 Show data context
Transport 0 Show data context 24 Show data context 21 Show data context 12 Show data context 1 Show data context 6 Show data context 4 Show data context 0 Show data context 15 Show data context 21 Show data context 15 Show data context 9 Show data context 12 Show data context 3 Show data context
Agriculture 0 Show data context 1 Show data context 10 Show data context 8 Show data context 24 Show data context 17 Show data context 20 Show data context 26 Show data context 80 Show data context 108 Show data context 68 Show data context 54 Show data context 58 Show data context 61 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 0 Show data context 0 Show data context 0 Show data context 1 Show data context 3 Show data context 3 Show data context 8 Show data context 3 Show data context 5 Show data context
Jewelry, Instruments 0 Show data context 2 Show data context 2 Show data context 1 Show data context 3 Show data context 4 Show data context 3 Show data context 4 Show data context 19 Show data context 17 Show data context 7 Show data context 10 Show data context 2 Show data context 8 Show data context
Building 0 Show data context 2 Show data context 1 Show data context 1 Show data context 1 Show data context 2 Show data context 4 Show data context 0 Show data context 3 Show data context 6 Show data context 5 Show data context 3 Show data context 2 Show data context 1 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 4 Show data context 2 Show data context
Brick, Cement 0 Show data context 0 Show data context 0 Show data context 4 Show data context 3 Show data context 3 Show data context 4 Show data context 3 Show data context 17 Show data context 16 Show data context 23 Show data context 13 Show data context 13 Show data context 5 Show data context
Chemicals 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 1 Show data context 4 Show data context 7 Show data context 1 Show data context 0 Show data context 2 Show data context 1 Show data context
Skins, Leather 0 Show data context 0 Show data context 3 Show data context 8 Show data context 6 Show data context 7 Show data context 4 Show data context 4 Show data context 21 Show data context 12 Show data context 4 Show data context 1 Show data context 2 Show data context 4 Show data context
Paper, Prints 0 Show data context 6 Show data context 14 Show data context 10 Show data context 22 Show data context 13 Show data context 15 Show data context 13 Show data context 54 Show data context 69 Show data context 18 Show data context 12 Show data context 7 Show data context 2 Show data context
Textile Fabrics 0 Show data context 45 Show data context 85 Show data context 99 Show data context 97 Show data context 89 Show data context 85 Show data context 68 Show data context 219 Show data context 130 Show data context 38 Show data context 21 Show data context 13 Show data context 5 Show data context
Dress 0 Show data context 8 Show data context 22 Show data context 29 Show data context 36 Show data context 30 Show data context 31 Show data context 31 Show data context 148 Show data context 151 Show data context 60 Show data context 81 Show data context 77 Show data context 108 Show data context
Food, Drink 1 Show data context 908 Show data context 1,355 Show data context 1,418 Show data context 1,414 Show data context 1,362 Show data context 1,258 Show data context 1,237 Show data context 4,853 Show data context 3,830 Show data context 1,467 Show data context 763 Show data context 369 Show data context 152 Show data context
Gas, Water 0 Show data context 9 Show data context 27 Show data context 40 Show data context 37 Show data context 43 Show data context 64 Show data context 62 Show data context 295 Show data context 469 Show data context 495 Show data context 438 Show data context 334 Show data context 191 Show data context
Other & Undefined
Unoccupied 2 Show data context 10 Show data context 11 Show data context 9 Show data context 21 Show data context 31 Show data context 14 Show data context 9 Show data context 69 Show data context 104 Show data context 85 Show data context 95 Show data context 58 Show data context 37 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


Housing density, simplified to under 1 person per room, 1 to 1.5, and over 1.5. Data for these categories can be computed for districts in England and Wales for all censuses from 1931 onwards, but for Scotland they can only be computed for 1971 on.


How to reference this page:

GB Historical GIS / University of Portsmouth, Northamptonshire Administrative County (pre-1974) 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/10073881/cube/OCC_ORD1911_AGESEX

Date accessed: 07th June 2026