Persons Aged over 10 by Sex, Age and 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 13 Show data context 8 Show data context 9 Show data context 9 Show data context 2 Show data context 3 Show data context 56 Show data context 123 Show data context 113 Show data context 47 Show data context 21 Show data context 5 Show data context
Defence 0 Show data context 0 Show data context 1 Show data context 1 Show data context 0 Show data context 1 Show data context 3 Show data context 4 Show data context 16 Show data context 30 Show data context 21 Show data context 24 Show data context 27 Show data context 48 Show data context
Professional Occupations 0 Show data context 1 Show data context 12 Show data context 22 Show data context 22 Show data context 22 Show data context 21 Show data context 14 Show data context 119 Show data context 224 Show data context 254 Show data context 225 Show data context 93 Show data context 62 Show data context
Domestic Services 2 Show data context 6 Show data context 18 Show data context 23 Show data context 27 Show data context 33 Show data context 37 Show data context 54 Show data context 194 Show data context 283 Show data context 191 Show data context 125 Show data context 66 Show data context 35 Show data context
Commercial Occupations 0 Show data context 0 Show data context 4 Show data context 17 Show data context 16 Show data context 23 Show data context 14 Show data context 22 Show data context 121 Show data context 232 Show data context 165 Show data context 86 Show data context 57 Show data context 26 Show data context
Transport 4 Show data context 16 Show data context 73 Show data context 98 Show data context 114 Show data context 59 Show data context 57 Show data context 44 Show data context 201 Show data context 431 Show data context 313 Show data context 281 Show data context 154 Show data context 64 Show data context
Agriculture 0 Show data context 1 Show data context 5 Show data context 7 Show data context 9 Show data context 12 Show data context 12 Show data context 10 Show data context 53 Show data context 113 Show data context 100 Show data context 107 Show data context 79 Show data context 53 Show data context
Mines and 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 1 Show data context 13 Show data context 6 Show data context 10 Show data context 7 Show data context 4 Show data context
Jewelry, Instruments 0 Show data context 0 Show data context 11 Show data context 18 Show data context 22 Show data context 26 Show data context 28 Show data context 29 Show data context 89 Show data context 158 Show data context 106 Show data context 66 Show data context 41 Show data context 13 Show data context
Building 0 Show data context 0 Show data context 6 Show data context 5 Show data context 1 Show data context 6 Show data context 1 Show data context 5 Show data context 19 Show data context 39 Show data context 25 Show data context 16 Show data context 8 Show data context 1 Show data context
Wood, Furniture 0 Show data context 0 Show data context 10 Show data context 22 Show data context 23 Show data context 26 Show data context 38 Show data context 27 Show data context 186 Show data context 602 Show data context 508 Show data context 425 Show data context 282 Show data context 101 Show data context
Brick, Cement 0 Show data context 0 Show data context 6 Show data context 4 Show data context 12 Show data context 7 Show data context 12 Show data context 8 Show data context 37 Show data context 96 Show data context 73 Show data context 76 Show data context 34 Show data context 16 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 2 Show data context 0 Show data context 2 Show data context 12 Show data context 9 Show data context 5 Show data context 6 Show data context 1 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 5 Show data context 0 Show data context 3 Show data context 16 Show data context 19 Show data context 28 Show data context 11 Show data context 4 Show data context 4 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 0 Show data context 1 Show data context 1 Show data context 2 Show data context 12 Show data context 10 Show data context 6 Show data context 7 Show data context 1 Show data context
Textile Fabrics 0 Show data context 1 Show data context 5 Show data context 10 Show data context 13 Show data context 9 Show data context 14 Show data context 5 Show data context 35 Show data context 51 Show data context 54 Show data context 27 Show data context 13 Show data context 6 Show data context
Dress 0 Show data context 0 Show data context 2 Show data context 7 Show data context 3 Show data context 11 Show data context 6 Show data context 6 Show data context 27 Show data context 49 Show data context 38 Show data context 14 Show data context 12 Show data context 4 Show data context
Food, Drink 0 Show data context 4 Show data context 13 Show data context 16 Show data context 12 Show data context 20 Show data context 14 Show data context 17 Show data context 89 Show data context 156 Show data context 114 Show data context 76 Show data context 38 Show data context 25 Show data context
Gas, Water 2 Show data context 3 Show data context 23 Show data context 39 Show data context 41 Show data context 68 Show data context 75 Show data context 69 Show data context 335 Show data context 517 Show data context 380 Show data context 228 Show data context 139 Show data context 55 Show data context
Other and Undefined 0 Show data context 0 Show data context 1 Show data context 0 Show data context 0 Show data context 0 Show data context 2 Show data context 0 Show data context 5 Show data context 45 Show data context 59 Show data context 58 Show data context 32 Show data context 23 Show data context
Unoccupied 13 Show data context 6 Show data context 4 Show data context 9 Show data context 5 Show data context 11 Show data context 15 Show data context 11 Show data context 61 Show data context 144 Show data context 134 Show data context 102 Show data context 77 Show data context 40 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 0 Show data context 2 Show data context 5 Show data context 2 Show data context 13 Show data context 29 Show data context 10 Show data context 6 Show data context 4 Show data context 0 Show data context
Defence
Professional Occupations 0 Show data context 0 Show data context 1 Show data context 5 Show data context 5 Show data context 12 Show data context 17 Show data context 21 Show data context 148 Show data context 348 Show data context 293 Show data context 191 Show data context 79 Show data context 34 Show data context
Domestic Services 1 Show data context 2 Show data context 74 Show data context 158 Show data context 279 Show data context 305 Show data context 302 Show data context 311 Show data context 1,567 Show data context 1,765 Show data context 934 Show data context 588 Show data context 272 Show data context 97 Show data context
Commercial Occupations 0 Show data context 0 Show data context 5 Show data context 8 Show data context 11 Show data context 12 Show data context 24 Show data context 14 Show data context 69 Show data context 74 Show data context 21 Show data context 8 Show data context 3 Show data context 1 Show data context
Transport 1 Show data context 0 Show data context 0 Show data context 0 Show data context 2 Show data context 1 Show data context 4 Show data context 2 Show data context 7 Show data context 4 Show data context 2 Show data context 0 Show data context 2 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 2 Show data context 1 Show data context 2 Show data context 1 Show data context 0 Show data context 0 Show data context
Mines and Quarries
Metals, Machines
Jewelry, Instruments 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
Building 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 3 Show data context 4 Show data context 2 Show data context 0 Show data context 3 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 1 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 1 Show data context 2 Show data context 4 Show data context 6 Show data context 4 Show data context 3 Show data context 5 Show data context 2 Show data context
Chemicals 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 0 Show data context 3 Show data context 2 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 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 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 2 Show data context 2 Show data context 2 Show data context 1 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 6 Show data context 4 Show data context 2 Show data context 5 Show data context 2 Show data context 17 Show data context 24 Show data context 7 Show data context 5 Show data context 1 Show data context 0 Show data context
Dress 0 Show data context 0 Show data context 11 Show data context 10 Show data context 14 Show data context 22 Show data context 22 Show data context 16 Show data context 95 Show data context 76 Show data context 33 Show data context 8 Show data context 3 Show data context 2 Show data context
Food, Drink 0 Show data context 1 Show data context 29 Show data context 48 Show data context 71 Show data context 50 Show data context 53 Show data context 71 Show data context 246 Show data context 325 Show data context 133 Show data context 74 Show data context 49 Show data context 24 Show data context
Gas, Water 0 Show data context 0 Show data context 4 Show data context 9 Show data context 15 Show data context 9 Show data context 20 Show data context 21 Show data context 110 Show data context 231 Show data context 230 Show data context 298 Show data context 199 Show data context 103 Show data context
Other and Undefined
Unoccupied 0 Show data context 1 Show data context 7 Show data context 5 Show data context 4 Show data context 8 Show data context 1 Show data context 5 Show data context 22 Show data context 25 Show data context 17 Show data context 14 Show data context 8 Show data context 3 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, Eastbourne CB/MB through time | Industry Statistics | Persons Aged over 10 by Sex, Age and 1911 Occupational Order, A Vision of Britain through Time.

URL: http://www.visionofbritain.org.uk/unit/10061477/cube/OCC_ORD1911_AGESEX

Date accessed: 27th January 2020