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 0 Show data context 5 Show data context 6 Show data context 2 Show data context 3 Show data context 5 Show data context 3 Show data context 43 Show data context 71 Show data context 43 Show data context 34 Show data context 8 Show data context 1 Show data context
Defence 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 0 Show data context 10 Show data context 12 Show data context 8 Show data context 1 Show data context 0 Show data context 0 Show data context
Professional Occupations 0 Show data context 0 Show data context 3 Show data context 9 Show data context 4 Show data context 10 Show data context 11 Show data context 11 Show data context 54 Show data context 135 Show data context 86 Show data context 61 Show data context 22 Show data context 9 Show data context
Domestic Services 0 Show data context 0 Show data context 4 Show data context 7 Show data context 5 Show data context 4 Show data context 6 Show data context 3 Show data context 8 Show data context 36 Show data context 39 Show data context 35 Show data context 19 Show data context 7 Show data context
Commercial Occupations 0 Show data context 0 Show data context 4 Show data context 3 Show data context 5 Show data context 10 Show data context 11 Show data context 6 Show data context 42 Show data context 97 Show data context 72 Show data context 45 Show data context 28 Show data context 10 Show data context
Transport 10 Show data context 21 Show data context 138 Show data context 116 Show data context 87 Show data context 55 Show data context 65 Show data context 42 Show data context 290 Show data context 634 Show data context 534 Show data context 356 Show data context 203 Show data context 27 Show data context
Agriculture 0 Show data context 0 Show data context 1 Show data context 3 Show data context 5 Show data context 4 Show data context 7 Show data context 5 Show data context 17 Show data context 34 Show data context 35 Show data context 52 Show data context 33 Show data context 26 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 1 Show data context 0 Show data context 3 Show data context 7 Show data context 7 Show data context 4 Show data context 7 Show data context 2 Show data context
Jewelry, Instruments 0 Show data context 0 Show data context 82 Show data context 186 Show data context 270 Show data context 244 Show data context 299 Show data context 304 Show data context 1,060 Show data context 2,154 Show data context 1,956 Show data context 1,351 Show data context 714 Show data context 149 Show data context
Building 0 Show data context 0 Show data context 1 Show data context 1 Show data context 2 Show data context 3 Show data context 2 Show data context 1 Show data context 3 Show data context 15 Show data context 10 Show data context 10 Show data context 7 Show data context 2 Show data context
Wood, Furniture 0 Show data context 1 Show data context 6 Show data context 10 Show data context 15 Show data context 23 Show data context 19 Show data context 20 Show data context 102 Show data context 272 Show data context 276 Show data context 182 Show data context 124 Show data context 40 Show data context
Brick, Cement 0 Show data context 0 Show data context 2 Show data context 9 Show data context 8 Show data context 6 Show data context 11 Show data context 6 Show data context 18 Show data context 67 Show data context 63 Show data context 43 Show data context 24 Show data context 8 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 0 Show data context 1 Show data context 1 Show data context 1 Show data context 4 Show data context 4 Show data context 4 Show data context 0 Show data context
Skins, Leather 0 Show data context 0 Show data context 1 Show data context 0 Show data context 3 Show data context 2 Show data context 1 Show data context 1 Show data context 3 Show data context 13 Show data context 10 Show data context 8 Show data context 1 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 0 Show data context 1 Show data context 0 Show data context 0 Show data context 0 Show data context 8 Show data context 17 Show data context 19 Show data context 9 Show data context 5 Show data context
Textile Fabrics 0 Show data context 0 Show data context 1 Show data context 3 Show data context 4 Show data context 6 Show data context 4 Show data context 6 Show data context 18 Show data context 33 Show data context 23 Show data context 11 Show data context 9 Show data context 1 Show data context
Dress 0 Show data context 0 Show data context 0 Show data context 2 Show data context 5 Show data context 0 Show data context 2 Show data context 2 Show data context 12 Show data context 17 Show data context 22 Show data context 9 Show data context 10 Show data context 4 Show data context
Food, Drink 1 Show data context 2 Show data context 17 Show data context 28 Show data context 26 Show data context 25 Show data context 18 Show data context 16 Show data context 72 Show data context 120 Show data context 109 Show data context 44 Show data context 30 Show data context 16 Show data context
Gas, Water 0 Show data context 0 Show data context 24 Show data context 45 Show data context 41 Show data context 37 Show data context 38 Show data context 41 Show data context 125 Show data context 208 Show data context 215 Show data context 140 Show data context 63 Show data context 21 Show data context
Other & Undefined 0 Show data context 0 Show data context 1 Show data context 3 Show data context 2 Show data context 2 Show data context 3 Show data context 2 Show data context 8 Show data context 45 Show data context 42 Show data context 39 Show data context 20 Show data context 8 Show data context
Unoccupied 3 Show data context 13 Show data context 9 Show data context 10 Show data context 10 Show data context 6 Show data context 12 Show data context 9 Show data context 41 Show data context 131 Show data context 138 Show data context 110 Show data context 65 Show data context 23 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 1 Show data context 0 Show data context 1 Show data context 1 Show data context 5 Show data context 7 Show data context 3 Show data context 1 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 0 Show data context 1 Show data context 6 Show data context 16 Show data context 15 Show data context 107 Show data context 171 Show data context 55 Show data context 35 Show data context 8 Show data context 7 Show data context
Domestic Services 0 Show data context 1 Show data context 58 Show data context 96 Show data context 109 Show data context 99 Show data context 72 Show data context 81 Show data context 251 Show data context 206 Show data context 117 Show data context 104 Show data context 53 Show data context 15 Show data context
Commercial Occupations 0 Show data context 0 Show data context 3 Show data context 6 Show data context 12 Show data context 13 Show data context 6 Show data context 12 Show data context 26 Show data context 24 Show data context 5 Show data context 7 Show data context 0 Show data context 1 Show data context
Transport 1 Show data context 0 Show data context 1 Show data context 4 Show data context 4 Show data context 0 Show data context 0 Show data context 1 Show data context 2 Show data context 1 Show data context 1 Show data context 0 Show data context 0 Show data context 1 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 0 Show data context 2 Show data context 0 Show data context 0 Show data context 1 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 1 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
Jewelry, Instruments 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 1 Show data context 5 Show data context 1 Show data context 0 Show data context 1 Show data context 0 Show data context
Building 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 1 Show data context 0 Show data context 0 Show data context 2 Show data context 0 Show data context 0 Show data context 0 Show data context
Wood, Furniture
Brick, Cement 0 Show data context 0 Show data context 0 Show data context 0 Show data context 1 Show data context 2 Show data context 2 Show data context 7 Show data context 30 Show data context 25 Show data context 14 Show data context 6 Show data context 2 Show data context 0 Show data context
Chemicals 0 Show data context 0 Show data context 1 Show data context 1 Show data context 0 Show data context 1 Show data context 1 Show data context 0 Show data context 2 Show data context 3 Show data context 0 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 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 0 Show data context 1 Show data context 1 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 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
Textile Fabrics 0 Show data context 0 Show data context 1 Show data context 2 Show data context 2 Show data context 2 Show data context 4 Show data context 2 Show data context 7 Show data context 8 Show data context 3 Show data context 3 Show data context 1 Show data context 1 Show data context
Dress 0 Show data context 0 Show data context 11 Show data context 17 Show data context 17 Show data context 19 Show data context 21 Show data context 11 Show data context 59 Show data context 33 Show data context 9 Show data context 2 Show data context 4 Show data context 1 Show data context
Food, Drink 0 Show data context 1 Show data context 56 Show data context 113 Show data context 138 Show data context 173 Show data context 162 Show data context 145 Show data context 443 Show data context 273 Show data context 105 Show data context 87 Show data context 31 Show data context 17 Show data context
Gas, Water 0 Show data context 1 Show data context 2 Show data context 7 Show data context 6 Show data context 9 Show data context 16 Show data context 17 Show data context 76 Show data context 107 Show data context 93 Show data context 73 Show data context 52 Show data context 23 Show data context
Other & Undefined
Unoccupied 0 Show data context 0 Show data context 1 Show data context 2 Show data context 2 Show data context 4 Show data context 3 Show data context 1 Show data context 12 Show data context 17 Show data context 16 Show data context 19 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, Swindon MB 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/10061490/cube/OCC_ORD1911_AGESEX

Date accessed: 06th November 2024