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 6 Show data context 11 Show data context 4 Show data context 5 Show data context 2 Show data context 6 Show data context 43 Show data context 130 Show data context 124 Show data context 58 Show data context 25 Show data context 6 Show data context
Defence 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 2 Show data context 5 Show data context 5 Show data context 4 Show data context 2 Show data context 4 Show data context
Professional Occupations 0 Show data context 4 Show data context 15 Show data context 12 Show data context 11 Show data context 23 Show data context 26 Show data context 9 Show data context 102 Show data context 230 Show data context 231 Show data context 188 Show data context 102 Show data context 42 Show data context
Domestic Services 0 Show data context 1 Show data context 0 Show data context 3 Show data context 9 Show data context 12 Show data context 10 Show data context 6 Show data context 66 Show data context 154 Show data context 103 Show data context 69 Show data context 43 Show data context 27 Show data context
Commercial Occupations 0 Show data context 0 Show data context 7 Show data context 13 Show data context 24 Show data context 31 Show data context 27 Show data context 26 Show data context 134 Show data context 328 Show data context 314 Show data context 219 Show data context 132 Show data context 62 Show data context
Transport 7 Show data context 22 Show data context 90 Show data context 77 Show data context 46 Show data context 60 Show data context 43 Show data context 60 Show data context 242 Show data context 472 Show data context 359 Show data context 254 Show data context 152 Show data context 50 Show data context
Agriculture 0 Show data context 0 Show data context 8 Show data context 8 Show data context 9 Show data context 13 Show data context 9 Show data context 17 Show data context 74 Show data context 140 Show data context 119 Show data context 107 Show data context 91 Show data context 66 Show data context
Mines & Quarries
Metals, Machines 0 Show data context 0 Show data context 0 Show data context 2 Show data context 0 Show data context 0 Show data context 3 Show data context 3 Show data context 7 Show data context 29 Show data context 31 Show data context 27 Show data context 19 Show data context 14 Show data context
Jewelry, Instruments 0 Show data context 2 Show data context 14 Show data context 44 Show data context 36 Show data context 37 Show data context 46 Show data context 43 Show data context 179 Show data context 329 Show data context 199 Show data context 108 Show data context 51 Show data context 24 Show data context
Building 0 Show data context 0 Show data context 1 Show data context 7 Show data context 6 Show data context 10 Show data context 3 Show data context 9 Show data context 23 Show data context 35 Show data context 29 Show data context 21 Show data context 11 Show data context 7 Show data context
Wood, Furniture 0 Show data context 2 Show data context 9 Show data context 22 Show data context 41 Show data context 42 Show data context 48 Show data context 35 Show data context 229 Show data context 423 Show data context 290 Show data context 276 Show data context 191 Show data context 73 Show data context
Brick, Cement 0 Show data context 1 Show data context 3 Show data context 5 Show data context 11 Show data context 12 Show data context 13 Show data context 7 Show data context 52 Show data context 87 Show data context 73 Show data context 57 Show data context 45 Show data context 24 Show data context
Chemicals 0 Show data context 0 Show data context 1 Show data context 0 Show data context 0 Show data context 0 Show data context 1 Show data context 1 Show data context 2 Show data context 4 Show data context 5 Show data context 8 Show data context 3 Show data context 2 Show data context
Skins, Leather 0 Show data context 0 Show data context 0 Show data context 1 Show data context 5 Show data context 4 Show data context 3 Show data context 7 Show data context 14 Show data context 39 Show data context 33 Show data context 40 Show data context 10 Show data context 7 Show data context
Paper, Prints 0 Show data context 1 Show data context 1 Show data context 3 Show data context 1 Show data context 2 Show data context 0 Show data context 1 Show data context 7 Show data context 14 Show data context 18 Show data context 9 Show data context 3 Show data context 8 Show data context
Textile Fabrics 0 Show data context 2 Show data context 3 Show data context 11 Show data context 6 Show data context 6 Show data context 10 Show data context 11 Show data context 34 Show data context 72 Show data context 57 Show data context 45 Show data context 27 Show data context 4 Show data context
Dress 1 Show data context 1 Show data context 3 Show data context 6 Show data context 7 Show data context 7 Show data context 10 Show data context 9 Show data context 47 Show data context 87 Show data context 105 Show data context 83 Show data context 57 Show data context 33 Show data context
Food, Drink 0 Show data context 2 Show data context 6 Show data context 13 Show data context 14 Show data context 16 Show data context 15 Show data context 18 Show data context 79 Show data context 159 Show data context 121 Show data context 103 Show data context 49 Show data context 34 Show data context
Gas, Water 0 Show data context 6 Show data context 22 Show data context 32 Show data context 47 Show data context 48 Show data context 42 Show data context 66 Show data context 220 Show data context 400 Show data context 339 Show data context 262 Show data context 144 Show data context 65 Show data context
Other & Undefined 0 Show data context 0 Show data context 1 Show data context 4 Show data context 2 Show data context 2 Show data context 1 Show data context 2 Show data context 14 Show data context 43 Show data context 82 Show data context 77 Show data context 40 Show data context 19 Show data context
Unoccupied 8 Show data context 3 Show data context 6 Show data context 8 Show data context 16 Show data context 8 Show data context 12 Show data context 10 Show data context 61 Show data context 126 Show data context 163 Show data context 132 Show data context 70 Show data context 39 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 0 Show data context 2 Show data context 2 Show data context 2 Show data context 7 Show data context 7 Show data context 7 Show data context 3 Show data context 0 Show data context 1 Show data context
Defence
Professional Occupations 0 Show data context 0 Show data context 1 Show data context 1 Show data context 4 Show data context 13 Show data context 12 Show data context 20 Show data context 138 Show data context 295 Show data context 186 Show data context 94 Show data context 60 Show data context 14 Show data context
Domestic Services 1 Show data context 5 Show data context 60 Show data context 97 Show data context 156 Show data context 172 Show data context 214 Show data context 265 Show data context 1,147 Show data context 1,342 Show data context 719 Show data context 495 Show data context 215 Show data context 98 Show data context
Commercial Occupations 0 Show data context 0 Show data context 7 Show data context 7 Show data context 12 Show data context 9 Show data context 5 Show data context 15 Show data context 36 Show data context 50 Show data context 18 Show data context 9 Show data context 4 Show data context 1 Show data context
Transport 0 Show data context 0 Show data context 4 Show data context 6 Show data context 2 Show data context 0 Show data context 0 Show data context 1 Show data context 3 Show data context 10 Show data context 1 Show data context 1 Show data context 2 Show data context 0 Show data context
Agriculture 0 Show data context 0 Show data context 2 Show data context 0 Show data context 1 Show data context 2 Show data context 5 Show data context 0 Show data context 9 Show data context 10 Show data context 5 Show data context 3 Show data context 6 Show data context 4 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 1 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
Jewelry, Instruments 0 Show data context 0 Show data context 0 Show data context 0 Show data context 0 Show data context 3 Show data context 3 Show data context 2 Show data context 5 Show data context 6 Show data context 6 Show data context 3 Show data context 0 Show data context 4 Show data context
Building 0 Show data context 0 Show data context 1 Show data context 3 Show data context 2 Show data context 1 Show data context 2 Show data context 2 Show data context 12 Show data context 9 Show data context 1 Show data context 2 Show data context 2 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 5 Show data context 1 Show data context
Brick, Cement 0 Show data context 0 Show data context 2 Show data context 0 Show data context 8 Show data context 3 Show data context 2 Show data context 3 Show data context 11 Show data context 13 Show data context 10 Show data context 10 Show data context 8 Show data context 3 Show data context
Chemicals 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 0 Show data context 3 Show data context 2 Show data context 3 Show data context 2 Show data context 1 Show data context 0 Show data context
Skins, Leather 0 Show data context 0 Show data context 1 Show data context 1 Show data context 3 Show data context 0 Show data context 0 Show data context 2 Show data context 6 Show data context 3 Show data context 1 Show data context 2 Show data context 2 Show data context 0 Show data context
Paper, Prints 0 Show data context 0 Show data context 1 Show data context 0 Show data context 2 Show data context 4 Show data context 5 Show data context 2 Show data context 6 Show data context 8 Show data context 6 Show data context 1 Show data context 1 Show data context 2 Show data context
Textile Fabrics 0 Show data context 0 Show data context 7 Show data context 10 Show data context 6 Show data context 8 Show data context 14 Show data context 6 Show data context 36 Show data context 25 Show data context 14 Show data context 13 Show data context 2 Show data context 3 Show data context
Dress 0 Show data context 0 Show data context 9 Show data context 17 Show data context 11 Show data context 15 Show data context 15 Show data context 18 Show data context 86 Show data context 103 Show data context 48 Show data context 29 Show data context 11 Show data context 3 Show data context
Food, Drink 1 Show data context 5 Show data context 51 Show data context 69 Show data context 72 Show data context 59 Show data context 71 Show data context 65 Show data context 316 Show data context 300 Show data context 169 Show data context 109 Show data context 51 Show data context 25 Show data context
Gas, Water 0 Show data context 2 Show data context 8 Show data context 36 Show data context 27 Show data context 44 Show data context 38 Show data context 48 Show data context 220 Show data context 329 Show data context 319 Show data context 370 Show data context 255 Show data context 163 Show data context
Other & Undefined
Unoccupied 0 Show data context 0 Show data context 1 Show data context 12 Show data context 9 Show data context 12 Show data context 6 Show data context 6 Show data context 29 Show data context 38 Show data context 19 Show data context 16 Show data context 8 Show data context 8 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, Southport CB/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/10173139/cube/OCC_ORD1911_AGESEX

Date accessed: 07th November 2024