Enfield Municipal Borough (UD/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 11 Show data context 15 Show data context 14 Show data context 10 Show data context 6 Show data context 8 Show data context 48 Show data context 154 Show data context 160 Show data context 80 Show data context 30 Show data context 8 Show data context
Defence 0 Show data context 0 Show data context 0 Show data context 0 Show data context 4 Show data context 7 Show data context 27 Show data context 10 Show data context 10 Show data context 13 Show data context 19 Show data context 1 Show data context 1 Show data context 1 Show data context
Professional Occupations 0 Show data context 0 Show data context 3 Show data context 5 Show data context 2 Show data context 11 Show data context 11 Show data context 16 Show data context 64 Show data context 147 Show data context 107 Show data context 86 Show data context 48 Show data context 16 Show data context
Domestic Services 0 Show data context 1 Show data context 14 Show data context 17 Show data context 14 Show data context 13 Show data context 17 Show data context 17 Show data context 82 Show data context 135 Show data context 117 Show data context 98 Show data context 55 Show data context 26 Show data context
Commercial Occupations 0 Show data context 1 Show data context 20 Show data context 44 Show data context 67 Show data context 65 Show data context 49 Show data context 53 Show data context 185 Show data context 289 Show data context 206 Show data context 131 Show data context 58 Show data context 37 Show data context
Transport 9 Show data context 11 Show data context 98 Show data context 96 Show data context 73 Show data context 47 Show data context 42 Show data context 48 Show data context 201 Show data context 497 Show data context 325 Show data context 185 Show data context 98 Show data context 23 Show data context
Agriculture 0 Show data context 4 Show data context 35 Show data context 56 Show data context 48 Show data context 50 Show data context 49 Show data context 45 Show data context 277 Show data context 422 Show data context 306 Show data context 226 Show data context 125 Show data context 83 Show data context
Mines & Quarries
Metals, Machines 0 Show data context 0 Show data context 0 Show data context 0 Show data context 2 Show data context 1 Show data context 0 Show data context 2 Show data context 5 Show data context 18 Show data context 18 Show data context 16 Show data context 5 Show data context 1 Show data context
Jewelry, Instruments 0 Show data context 4 Show data context 58 Show data context 68 Show data context 91 Show data context 87 Show data context 94 Show data context 77 Show data context 335 Show data context 698 Show data context 751 Show data context 562 Show data context 236 Show data context 44 Show data context
Building 0 Show data context 0 Show data context 6 Show data context 1 Show data context 7 Show data context 8 Show data context 10 Show data context 12 Show data context 35 Show data context 52 Show data context 70 Show data context 24 Show data context 17 Show data context 12 Show data context
Wood, Furniture 0 Show data context 0 Show data context 7 Show data context 22 Show data context 25 Show data context 38 Show data context 31 Show data context 30 Show data context 198 Show data context 526 Show data context 564 Show data context 406 Show data context 205 Show data context 93 Show data context
Brick, Cement 0 Show data context 0 Show data context 4 Show data context 3 Show data context 8 Show data context 7 Show data context 8 Show data context 9 Show data context 42 Show data context 82 Show data context 87 Show data context 75 Show data context 41 Show data context 9 Show data context
Chemicals 0 Show data context 0 Show data context 2 Show data context 2 Show data context 6 Show data context 4 Show data context 4 Show data context 4 Show data context 18 Show data context 43 Show data context 43 Show data context 20 Show data context 10 Show data context 2 Show data context
Skins, Leather 0 Show data context 0 Show data context 3 Show data context 14 Show data context 16 Show data context 10 Show data context 6 Show data context 5 Show data context 35 Show data context 83 Show data context 77 Show data context 38 Show data context 13 Show data context 5 Show data context
Paper, Prints 0 Show data context 0 Show data context 0 Show data context 2 Show data context 1 Show data context 3 Show data context 5 Show data context 1 Show data context 9 Show data context 29 Show data context 24 Show data context 12 Show data context 9 Show data context 7 Show data context
Textile Fabrics 1 Show data context 0 Show data context 10 Show data context 15 Show data context 17 Show data context 17 Show data context 23 Show data context 17 Show data context 69 Show data context 110 Show data context 133 Show data context 60 Show data context 38 Show data context 9 Show data context
Dress 0 Show data context 0 Show data context 2 Show data context 7 Show data context 2 Show data context 9 Show data context 7 Show data context 5 Show data context 19 Show data context 36 Show data context 22 Show data context 24 Show data context 17 Show data context 6 Show data context
Food, Drink 0 Show data context 4 Show data context 6 Show data context 13 Show data context 17 Show data context 14 Show data context 13 Show data context 11 Show data context 40 Show data context 92 Show data context 81 Show data context 45 Show data context 33 Show data context 28 Show data context
Gas, Water 0 Show data context 0 Show data context 23 Show data context 41 Show data context 35 Show data context 63 Show data context 66 Show data context 50 Show data context 207 Show data context 333 Show data context 301 Show data context 201 Show data context 99 Show data context 42 Show data context
Other & Undefined 0 Show data context 0 Show data context 0 Show data context 0 Show data context 4 Show data context 0 Show data context 5 Show data context 4 Show data context 15 Show data context 65 Show data context 61 Show data context 53 Show data context 23 Show data context 9 Show data context
Unoccupied 10 Show data context 6 Show data context 20 Show data context 21 Show data context 28 Show data context 32 Show data context 27 Show data context 29 Show data context 102 Show data context 244 Show data context 267 Show data context 179 Show data context 91 Show data context 45 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 1 Show data context 3 Show data context 2 Show data context 3 Show data context 5 Show data context 32 Show data context 41 Show data context 23 Show data context 21 Show data context 6 Show data context 1 Show data context
Defence
Professional Occupations 0 Show data context 0 Show data context 0 Show data context 1 Show data context 2 Show data context 9 Show data context 6 Show data context 17 Show data context 121 Show data context 183 Show data context 94 Show data context 59 Show data context 38 Show data context 14 Show data context
Domestic Services 0 Show data context 7 Show data context 64 Show data context 97 Show data context 114 Show data context 142 Show data context 123 Show data context 155 Show data context 553 Show data context 493 Show data context 267 Show data context 186 Show data context 114 Show data context 58 Show data context
Commercial Occupations 0 Show data context 0 Show data context 8 Show data context 12 Show data context 22 Show data context 18 Show data context 28 Show data context 30 Show data context 88 Show data context 55 Show data context 13 Show data context 1 Show data context 0 Show data context 2 Show data context
Transport 0 Show data context 0 Show data context 2 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 4 Show data context 2 Show data context 3 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 2 Show data context 1 Show data context 5 Show data context 14 Show data context 8 Show data context 14 Show data context 13 Show data context 4 Show data context 8 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 1 Show data context 0 Show data context 0 Show data context 1 Show data context 0 Show data context
Jewelry, Instruments 0 Show data context 5 Show data context 52 Show data context 81 Show data context 101 Show data context 104 Show data context 88 Show data context 78 Show data context 220 Show data context 103 Show data context 11 Show data context 3 Show data context 1 Show data context 1 Show data context
Building 0 Show data context 0 Show data context 1 Show data context 2 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 0 Show data context 0 Show data context 1 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 0 Show data context 0 Show data context 0 Show data context 0 Show data context
Brick, Cement 0 Show data context 0 Show data context 0 Show data context 0 Show data context 3 Show data context 1 Show data context 0 Show data context 2 Show data context 1 Show data context 4 Show data context 1 Show data context 1 Show data context 2 Show data context 1 Show data context
Chemicals 0 Show data context 0 Show data context 1 Show data context 1 Show data context 3 Show data context 0 Show data context 3 Show data context 0 Show data context 1 Show data context 3 Show data context 1 Show data context 0 Show data context 0 Show data context 0 Show data context
Skins, Leather 0 Show data context 0 Show data context 2 Show data context 3 Show data context 6 Show data context 6 Show data context 7 Show data context 11 Show data context 27 Show data context 15 Show data context 8 Show data context 0 Show data context 2 Show data context 0 Show data context
Paper, Prints 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 0 Show data context 3 Show data context 2 Show data context 0 Show data context 3 Show data context 1 Show data context 0 Show data context
Textile Fabrics 0 Show data context 0 Show data context 2 Show data context 5 Show data context 11 Show data context 5 Show data context 7 Show data context 5 Show data context 17 Show data context 18 Show data context 17 Show data context 8 Show data context 4 Show data context 2 Show data context
Dress 0 Show data context 0 Show data context 12 Show data context 17 Show data context 10 Show data context 16 Show data context 16 Show data context 18 Show data context 68 Show data context 47 Show data context 18 Show data context 9 Show data context 9 Show data context 6 Show data context
Food, Drink 0 Show data context 0 Show data context 23 Show data context 44 Show data context 47 Show data context 38 Show data context 39 Show data context 37 Show data context 153 Show data context 141 Show data context 105 Show data context 51 Show data context 35 Show data context 26 Show data context
Gas, Water 0 Show data context 0 Show data context 4 Show data context 6 Show data context 10 Show data context 15 Show data context 11 Show data context 20 Show data context 78 Show data context 120 Show data context 94 Show data context 70 Show data context 31 Show data context 15 Show data context
Other & Undefined
Unoccupied 0 Show data context 1 Show data context 3 Show data context 4 Show data context 7 Show data context 7 Show data context 7 Show data context 2 Show data context 20 Show data context 13 Show data context 24 Show data context 9 Show data context 8 Show data context 7 Show data context

Click on the triangles for all about a particular number

nCube definition

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nCube definition


Total number of votes cast. In multi-member constituencies this will be different from the total number of people voting.


How to reference this page:

GB Historical GIS / University of Portsmouth, Enfield Municipal Borough (UD/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/10023737/cube/OCC_ORD1911_AGESEX

Date accessed: 08th June 2026