Persons Aged over 10 by Sex, Age & 1911 Occupational Order

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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 3 Show data context 9 Show data context 15 Show data context 9 Show data context 5 Show data context 5 Show data context 8 Show data context 53 Show data context 153 Show data context 112 Show data context 56 Show data context 17 Show data context 3 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 0 Show data context 6 Show data context 8 Show data context 8 Show data context 0 Show data context 0 Show data context 1 Show data context
Professional Occupations 0 Show data context 1 Show data context 3 Show data context 7 Show data context 4 Show data context 29 Show data context 15 Show data context 19 Show data context 96 Show data context 225 Show data context 222 Show data context 165 Show data context 69 Show data context 34 Show data context
Domestic Services 1 Show data context 0 Show data context 5 Show data context 3 Show data context 8 Show data context 7 Show data context 6 Show data context 1 Show data context 23 Show data context 85 Show data context 75 Show data context 65 Show data context 30 Show data context 18 Show data context
Commercial Occupations 0 Show data context 0 Show data context 27 Show data context 53 Show data context 87 Show data context 81 Show data context 72 Show data context 103 Show data context 427 Show data context 788 Show data context 599 Show data context 356 Show data context 185 Show data context 88 Show data context
Transport 18 Show data context 17 Show data context 148 Show data context 69 Show data context 39 Show data context 19 Show data context 24 Show data context 16 Show data context 108 Show data context 297 Show data context 232 Show data context 135 Show data context 76 Show data context 14 Show data context
Agriculture 0 Show data context 0 Show data context 0 Show data context 3 Show data context 6 Show data context 2 Show data context 4 Show data context 2 Show data context 26 Show data context 33 Show data context 40 Show data context 46 Show data context 43 Show data context 35 Show data context
Mines & Quarries
Metals, Machines 0 Show data context 0 Show data context 0 Show data context 2 Show data context 4 Show data context 5 Show data context 3 Show data context 1 Show data context 20 Show data context 52 Show data context 51 Show data context 40 Show data context 25 Show data context 16 Show data context
Jewelry, Instruments 0 Show data context 2 Show data context 121 Show data context 178 Show data context 217 Show data context 192 Show data context 213 Show data context 204 Show data context 910 Show data context 1,826 Show data context 1,482 Show data context 927 Show data context 549 Show data context 227 Show data context
Building 0 Show data context 1 Show data context 54 Show data context 80 Show data context 90 Show data context 93 Show data context 85 Show data context 74 Show data context 372 Show data context 812 Show data context 558 Show data context 407 Show data context 240 Show data context 104 Show data context
Wood, Furniture 0 Show data context 1 Show data context 7 Show data context 6 Show data context 18 Show data context 20 Show data context 22 Show data context 20 Show data context 123 Show data context 368 Show data context 289 Show data context 234 Show data context 137 Show data context 44 Show data context
Brick, Cement 0 Show data context 0 Show data context 5 Show data context 4 Show data context 11 Show data context 8 Show data context 12 Show data context 8 Show data context 47 Show data context 119 Show data context 108 Show data context 84 Show data context 55 Show data context 20 Show data context
Chemicals 0 Show data context 0 Show data context 2 Show data context 1 Show data context 1 Show data context 0 Show data context 4 Show data context 3 Show data context 10 Show data context 20 Show data context 23 Show data context 19 Show data context 7 Show data context 9 Show data context
Skins, Leather 0 Show data context 0 Show data context 2 Show data context 5 Show data context 6 Show data context 5 Show data context 8 Show data context 8 Show data context 38 Show data context 80 Show data context 55 Show data context 47 Show data context 32 Show data context 12 Show data context
Paper, Prints 0 Show data context 0 Show data context 1 Show data context 1 Show data context 0 Show data context 4 Show data context 2 Show data context 6 Show data context 12 Show data context 36 Show data context 39 Show data context 25 Show data context 23 Show data context 11 Show data context
Textile Fabrics 0 Show data context 0 Show data context 7 Show data context 4 Show data context 5 Show data context 9 Show data context 10 Show data context 8 Show data context 46 Show data context 84 Show data context 89 Show data context 57 Show data context 35 Show data context 13 Show data context
Dress 0 Show data context 0 Show data context 2 Show data context 1 Show data context 5 Show data context 7 Show data context 5 Show data context 5 Show data context 23 Show data context 48 Show data context 34 Show data context 36 Show data context 13 Show data context 7 Show data context
Food, Drink 5 Show data context 2 Show data context 3 Show data context 3 Show data context 10 Show data context 11 Show data context 12 Show data context 11 Show data context 68 Show data context 132 Show data context 117 Show data context 81 Show data context 53 Show data context 25 Show data context
Gas, Water 0 Show data context 0 Show data context 15 Show data context 17 Show data context 32 Show data context 37 Show data context 40 Show data context 33 Show data context 149 Show data context 341 Show data context 273 Show data context 181 Show data context 85 Show data context 39 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 3 Show data context 1 Show data context 0 Show data context 8 Show data context 43 Show data context 42 Show data context 29 Show data context 11 Show data context 4 Show data context
Unoccupied 14 Show data context 8 Show data context 2 Show data context 5 Show data context 6 Show data context 5 Show data context 5 Show data context 4 Show data context 29 Show data context 89 Show data context 76 Show data context 71 Show data context 40 Show data context 18 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 6 Show data context 6 Show data context 4 Show data context 1 Show data context 16 Show data context 30 Show data context 6 Show data context 5 Show data context 0 Show data context 1 Show data context
Defence
Professional Occupations 0 Show data context 0 Show data context 0 Show data context 3 Show data context 9 Show data context 15 Show data context 25 Show data context 21 Show data context 204 Show data context 315 Show data context 194 Show data context 119 Show data context 54 Show data context 17 Show data context
Domestic Services 1 Show data context 11 Show data context 56 Show data context 70 Show data context 125 Show data context 162 Show data context 173 Show data context 161 Show data context 721 Show data context 681 Show data context 356 Show data context 220 Show data context 139 Show data context 58 Show data context
Commercial Occupations 0 Show data context 0 Show data context 28 Show data context 59 Show data context 82 Show data context 98 Show data context 125 Show data context 109 Show data context 434 Show data context 417 Show data context 110 Show data context 31 Show data context 9 Show data context 2 Show data context
Transport 1 Show data context 0 Show data context 19 Show data context 14 Show data context 7 Show data context 11 Show data context 8 Show data context 9 Show data context 37 Show data context 22 Show data context 7 Show data context 1 Show data context 1 Show data context 0 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 0 Show data context 1 Show data context 1 Show data context 1 Show data context 0 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 2 Show data context 0 Show data context 1 Show data context 1 Show data context 1 Show data context 0 Show data context
Jewelry, Instruments 0 Show data context 0 Show data context 46 Show data context 55 Show data context 72 Show data context 74 Show data context 87 Show data context 70 Show data context 252 Show data context 224 Show data context 71 Show data context 30 Show data context 12 Show data context 3 Show data context
Building 0 Show data context 4 Show data context 85 Show data context 77 Show data context 67 Show data context 72 Show data context 63 Show data context 79 Show data context 264 Show data context 211 Show data context 66 Show data context 24 Show data context 11 Show data context 3 Show data context
Wood, Furniture
Brick, Cement 0 Show data context 0 Show data context 0 Show data context 3 Show data context 8 Show data context 4 Show data context 5 Show data context 7 Show data context 19 Show data context 18 Show data context 17 Show data context 12 Show data context 2 Show data context 2 Show data context
Chemicals 0 Show data context 0 Show data context 0 Show data context 3 Show data context 0 Show data context 5 Show data context 1 Show data context 5 Show data context 9 Show data context 10 Show data context 8 Show data context 3 Show data context 2 Show data context 1 Show data context
Skins, Leather 0 Show data context 0 Show data context 10 Show data context 10 Show data context 9 Show data context 12 Show data context 11 Show data context 11 Show data context 53 Show data context 50 Show data context 23 Show data context 6 Show data context 2 Show data context 1 Show data context
Paper, Prints 0 Show data context 1 Show data context 12 Show data context 17 Show data context 18 Show data context 11 Show data context 15 Show data context 11 Show data context 57 Show data context 42 Show data context 12 Show data context 8 Show data context 6 Show data context 2 Show data context
Textile Fabrics 0 Show data context 0 Show data context 5 Show data context 20 Show data context 13 Show data context 16 Show data context 12 Show data context 8 Show data context 64 Show data context 54 Show data context 30 Show data context 21 Show data context 7 Show data context 2 Show data context
Dress 0 Show data context 0 Show data context 6 Show data context 3 Show data context 9 Show data context 12 Show data context 10 Show data context 11 Show data context 44 Show data context 63 Show data context 30 Show data context 33 Show data context 6 Show data context 4 Show data context
Food, Drink 0 Show data context 3 Show data context 41 Show data context 67 Show data context 75 Show data context 80 Show data context 71 Show data context 74 Show data context 340 Show data context 363 Show data context 166 Show data context 98 Show data context 58 Show data context 20 Show data context
Gas, Water 0 Show data context 1 Show data context 5 Show data context 3 Show data context 14 Show data context 11 Show data context 13 Show data context 19 Show data context 74 Show data context 168 Show data context 139 Show data context 115 Show data context 52 Show data context 44 Show data context
Other & Undefined
Unoccupied 0 Show data context 0 Show data context 7 Show data context 10 Show data context 14 Show data context 11 Show data context 12 Show data context 12 Show data context 30 Show data context 40 Show data context 26 Show data context 25 Show data context 12 Show data context 7 Show data context
nCube definition Click on the triangles for all about a particular number
Date: Source:
1911 1911 Census of England and Wales, Occupations Vol 2, Table 13 , 'Occupations (Condensed List) of Males and Females at ages 10 years and upwards; in England and Wales, the aggregates of Urban and Rural Districts respectively in England and Wales, Administrative Counties, County Boroughs, Metropolitan Boroughs, Urban Districts of which the population exceeded 50,000 persons, and the aggregates of Rural Districts in Administrative Counties, 1911'

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nCube definition


All males and females at ages 10 years and upwards, categorised by gender, by 14 age groups, and by 23 occupational 'Orders'. This is the information provided by the 1911 Census's Occupation Tables. The occupational categories include Order 23, 'Without Specified Occupations or Unoccupied'.


How to reference this page:

GB Historical GIS / University of Portsmouth, Handsworth UD through time | Industry Statistics | Persons Aged over 10 by Sex, Age & 1911 Occupational Order, A Vision of Britain through Time.

URL: https://www.visionofbritain.org.uk/unit/10173607/cube/OCC_ORD1911_AGESEX

Date accessed: 05th July 2024