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 1 Show data context 7 Show data context 7 Show data context 2 Show data context 2 Show data context 11 Show data context 4 Show data context 36 Show data context 71 Show data context 72 Show data context 45 Show data context 30 Show data context 17 Show data context
Defence 0 Show data context 0 Show data context 0 Show data context 0 Show data context 1 Show data context 15 Show data context 28 Show data context 18 Show data context 41 Show data context 58 Show data context 35 Show data context 11 Show data context 2 Show data context 4 Show data context
Professional Occupations 0 Show data context 0 Show data context 2 Show data context 0 Show data context 3 Show data context 9 Show data context 13 Show data context 5 Show data context 44 Show data context 129 Show data context 145 Show data context 112 Show data context 61 Show data context 42 Show data context
Domestic Services 0 Show data context 4 Show data context 13 Show data context 9 Show data context 27 Show data context 22 Show data context 20 Show data context 25 Show data context 92 Show data context 180 Show data context 152 Show data context 84 Show data context 54 Show data context 27 Show data context
Commercial Occupations 0 Show data context 0 Show data context 0 Show data context 2 Show data context 3 Show data context 11 Show data context 9 Show data context 13 Show data context 65 Show data context 117 Show data context 102 Show data context 72 Show data context 26 Show data context 9 Show data context
Transport 5 Show data context 11 Show data context 44 Show data context 38 Show data context 31 Show data context 32 Show data context 27 Show data context 22 Show data context 162 Show data context 296 Show data context 271 Show data context 184 Show data context 113 Show data context 34 Show data context
Agriculture 5 Show data context 20 Show data context 98 Show data context 149 Show data context 142 Show data context 151 Show data context 167 Show data context 126 Show data context 585 Show data context 927 Show data context 805 Show data context 679 Show data context 549 Show data context 431 Show data context
Mines & Quarries
Metals, Machines 0 Show data context 82 Show data context 157 Show data context 173 Show data context 188 Show data context 181 Show data context 175 Show data context 183 Show data context 882 Show data context 1,588 Show data context 1,188 Show data context 724 Show data context 324 Show data context 100 Show data context
Jewelry, Instruments 0 Show data context 1 Show data context 5 Show data context 24 Show data context 23 Show data context 28 Show data context 23 Show data context 25 Show data context 117 Show data context 224 Show data context 169 Show data context 133 Show data context 82 Show data context 42 Show data context
Building 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 4 Show data context 11 Show data context 8 Show data context 9 Show data context 5 Show data context 3 Show data context
Wood, Furniture 0 Show data context 1 Show data context 8 Show data context 24 Show data context 22 Show data context 24 Show data context 20 Show data context 27 Show data context 171 Show data context 457 Show data context 384 Show data context 291 Show data context 217 Show data context 116 Show data context
Brick, Cement 0 Show data context 0 Show data context 1 Show data context 2 Show data context 3 Show data context 3 Show data context 5 Show data context 1 Show data context 13 Show data context 21 Show data context 15 Show data context 19 Show data context 19 Show data context 19 Show data context
Chemicals 0 Show data context 0 Show data context 1 Show data context 6 Show data context 2 Show data context 5 Show data context 5 Show data context 4 Show data context 6 Show data context 24 Show data context 20 Show data context 11 Show data context 4 Show data context 1 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 1 Show data context 0 Show data context 1 Show data context 6 Show data context 12 Show data context 18 Show data context 12 Show data context 10 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 4 Show data context 0 Show data context 2 Show data context 4 Show data context 13 Show data context 15 Show data context 9 Show data context 8 Show data context 7 Show data context
Textile Fabrics 0 Show data context 0 Show data context 4 Show data context 4 Show data context 3 Show data context 6 Show data context 5 Show data context 3 Show data context 10 Show data context 26 Show data context 23 Show data context 15 Show data context 8 Show data context 4 Show data context
Dress 0 Show data context 0 Show data context 3 Show data context 2 Show data context 4 Show data context 6 Show data context 6 Show data context 2 Show data context 13 Show data context 25 Show data context 32 Show data context 25 Show data context 15 Show data context 5 Show data context
Food, Drink 1 Show data context 1 Show data context 8 Show data context 11 Show data context 12 Show data context 7 Show data context 11 Show data context 10 Show data context 44 Show data context 102 Show data context 109 Show data context 69 Show data context 57 Show data context 56 Show data context
Gas, Water 1 Show data context 5 Show data context 17 Show data context 33 Show data context 31 Show data context 27 Show data context 20 Show data context 26 Show data context 113 Show data context 237 Show data context 226 Show data context 177 Show data context 91 Show data context 57 Show data context
Other & Undefined 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 17 Show data context 23 Show data context 12 Show data context 6 Show data context 5 Show data context
Unoccupied 1 Show data context 6 Show data context 12 Show data context 5 Show data context 10 Show data context 11 Show data context 16 Show data context 15 Show data context 87 Show data context 184 Show data context 201 Show data context 149 Show data context 112 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 1 Show data context 0 Show data context 1 Show data context 4 Show data context 1 Show data context 4 Show data context 15 Show data context 26 Show data context 19 Show data context 9 Show data context 8 Show data context 7 Show data context
Defence
Professional Occupations 0 Show data context 0 Show data context 0 Show data context 1 Show data context 4 Show data context 7 Show data context 14 Show data context 23 Show data context 131 Show data context 137 Show data context 72 Show data context 39 Show data context 23 Show data context 17 Show data context
Domestic Services 3 Show data context 28 Show data context 100 Show data context 144 Show data context 188 Show data context 206 Show data context 230 Show data context 189 Show data context 746 Show data context 503 Show data context 227 Show data context 155 Show data context 107 Show data context 84 Show data context
Commercial Occupations 0 Show data context 0 Show data context 2 Show data context 1 Show data context 2 Show data context 2 Show data context 1 Show data context 3 Show data context 5 Show data context 8 Show data context 2 Show data context 0 Show data context 1 Show data context 0 Show data context
Transport 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 0 Show data context 4 Show data context 4 Show data context 0 Show data context 1 Show data context
Agriculture 3 Show data context 2 Show data context 20 Show data context 39 Show data context 42 Show data context 41 Show data context 33 Show data context 35 Show data context 127 Show data context 173 Show data context 86 Show data context 58 Show data context 71 Show data context 102 Show data context
Mines & Quarries
Metals, Machines 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 3 Show data context 0 Show data context 1 Show data context 1 Show data context 0 Show data context 2 Show data context
Jewelry, Instruments 0 Show data context 0 Show data context 1 Show data context 3 Show data context 2 Show data context 4 Show data context 2 Show data context 1 Show data context 11 Show data context 4 Show data context 3 Show data context 1 Show data context 1 Show data context 1 Show data context
Building 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 1 Show data context 0 Show data context 1 Show data context 1 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 0 Show data context 0 Show data context 0 Show data context 0 Show data context 1 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 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 1 Show data context 1 Show data context
Chemicals 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 3 Show data context 1 Show data context 3 Show data context 2 Show data context 1 Show data context 4 Show data context
Skins, Leather 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 1 Show data context 0 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 1 Show data context 0 Show data context 0 Show data context 0 Show data context
Textile Fabrics 0 Show data context 0 Show data context 2 Show data context 1 Show data context 3 Show data context 1 Show data context 3 Show data context 3 Show data context 8 Show data context 6 Show data context 1 Show data context 3 Show data context 1 Show data context 2 Show data context
Dress 0 Show data context 0 Show data context 3 Show data context 5 Show data context 5 Show data context 6 Show data context 9 Show data context 6 Show data context 32 Show data context 24 Show data context 26 Show data context 14 Show data context 7 Show data context 5 Show data context
Food, Drink 0 Show data context 1 Show data context 18 Show data context 32 Show data context 58 Show data context 49 Show data context 50 Show data context 41 Show data context 157 Show data context 155 Show data context 84 Show data context 53 Show data context 41 Show data context 24 Show data context
Gas, Water 0 Show data context 1 Show data context 4 Show data context 11 Show data context 10 Show data context 11 Show data context 18 Show data context 12 Show data context 67 Show data context 144 Show data context 158 Show data context 151 Show data context 116 Show data context 85 Show data context
Other & Undefined
Unoccupied 0 Show data context 0 Show data context 0 Show data context 3 Show data context 4 Show data context 2 Show data context 1 Show data context 4 Show data context 9 Show data context 12 Show data context 9 Show data context 9 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, Brecknockshire AdmC 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/10107404/cube/OCC_ORD1911_AGESEX

Date accessed: 19th May 2024