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 4 Show data context 11 Show data context 16 Show data context 11 Show data context 7 Show data context 12 Show data context 70 Show data context 309 Show data context 291 Show data context 119 Show data context 50 Show data context 8 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 1 Show data context 4 Show data context 7 Show data context 19 Show data context 13 Show data context 17 Show data context 27 Show data context 48 Show data context
Professional Occupations 0 Show data context 1 Show data context 5 Show data context 10 Show data context 16 Show data context 12 Show data context 21 Show data context 26 Show data context 147 Show data context 414 Show data context 374 Show data context 235 Show data context 143 Show data context 72 Show data context
Domestic Services 1 Show data context 1 Show data context 9 Show data context 20 Show data context 10 Show data context 15 Show data context 11 Show data context 17 Show data context 61 Show data context 133 Show data context 143 Show data context 94 Show data context 54 Show data context 21 Show data context
Commercial Occupations 0 Show data context 0 Show data context 16 Show data context 43 Show data context 66 Show data context 50 Show data context 63 Show data context 80 Show data context 325 Show data context 722 Show data context 615 Show data context 365 Show data context 175 Show data context 57 Show data context
Transport 11 Show data context 10 Show data context 91 Show data context 75 Show data context 78 Show data context 78 Show data context 57 Show data context 55 Show data context 227 Show data context 548 Show data context 394 Show data context 260 Show data context 104 Show data context 28 Show data context
Agriculture 1 Show data context 0 Show data context 2 Show data context 7 Show data context 6 Show data context 4 Show data context 5 Show data context 5 Show data context 21 Show data context 76 Show data context 82 Show data context 96 Show data context 73 Show data context 56 Show data context
Mines and 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 0 Show data context 2 Show data context 17 Show data context 19 Show data context 4 Show data context 8 Show data context 2 Show data context
Jewelry, Instruments 0 Show data context 0 Show data context 7 Show data context 20 Show data context 30 Show data context 26 Show data context 41 Show data context 28 Show data context 154 Show data context 315 Show data context 259 Show data context 108 Show data context 58 Show data context 24 Show data context
Building 0 Show data context 0 Show data context 6 Show data context 6 Show data context 10 Show data context 8 Show data context 9 Show data context 3 Show data context 41 Show data context 96 Show data context 69 Show data context 46 Show data context 26 Show data context 9 Show data context
Wood, Furniture 0 Show data context 0 Show data context 6 Show data context 7 Show data context 14 Show data context 18 Show data context 23 Show data context 32 Show data context 177 Show data context 556 Show data context 484 Show data context 364 Show data context 184 Show data context 70 Show data context
Brick, Cement 0 Show data context 0 Show data context 1 Show data context 3 Show data context 6 Show data context 6 Show data context 5 Show data context 8 Show data context 33 Show data context 110 Show data context 115 Show data context 72 Show data context 30 Show data context 16 Show data context
Chemicals 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 4 Show data context 15 Show data context 9 Show data context 9 Show data context 7 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 0 Show data context 6 Show data context 1 Show data context 4 Show data context 21 Show data context 55 Show data context 50 Show data context 23 Show data context 15 Show data context 4 Show data context
Paper, Prints 0 Show data context 0 Show data context 0 Show data context 1 Show data context 1 Show data context 0 Show data context 0 Show data context 2 Show data context 9 Show data context 21 Show data context 23 Show data context 20 Show data context 10 Show data context 0 Show data context
Textile Fabrics 0 Show data context 0 Show data context 8 Show data context 4 Show data context 9 Show data context 16 Show data context 5 Show data context 10 Show data context 45 Show data context 90 Show data context 117 Show data context 56 Show data context 34 Show data context 9 Show data context
Dress 0 Show data context 0 Show data context 1 Show data context 5 Show data context 8 Show data context 6 Show data context 6 Show data context 11 Show data context 45 Show data context 98 Show data context 92 Show data context 36 Show data context 24 Show data context 7 Show data context
Food, Drink 0 Show data context 0 Show data context 4 Show data context 11 Show data context 14 Show data context 10 Show data context 13 Show data context 15 Show data context 62 Show data context 180 Show data context 172 Show data context 103 Show data context 49 Show data context 38 Show data context
Gas, Water 0 Show data context 2 Show data context 17 Show data context 28 Show data context 50 Show data context 49 Show data context 47 Show data context 59 Show data context 239 Show data context 483 Show data context 355 Show data context 176 Show data context 94 Show data context 30 Show data context
Other and Undefined 0 Show data context 0 Show data context 1 Show data context 1 Show data context 2 Show data context 0 Show data context 3 Show data context 3 Show data context 11 Show data context 56 Show data context 64 Show data context 22 Show data context 9 Show data context 1 Show data context
Unoccupied 9 Show data context 9 Show data context 7 Show data context 11 Show data context 15 Show data context 15 Show data context 12 Show data context 18 Show data context 62 Show data context 134 Show data context 156 Show data context 103 Show data context 57 Show data context 28 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 3 Show data context 9 Show data context 2 Show data context 34 Show data context 46 Show data context 17 Show data context 6 Show data context 0 Show data context 0 Show data context
Defence
Professional Occupations 2 Show data context 0 Show data context 0 Show data context 3 Show data context 8 Show data context 14 Show data context 19 Show data context 20 Show data context 202 Show data context 414 Show data context 251 Show data context 155 Show data context 63 Show data context 17 Show data context
Domestic Services 0 Show data context 5 Show data context 83 Show data context 189 Show data context 254 Show data context 328 Show data context 377 Show data context 358 Show data context 1,743 Show data context 1,600 Show data context 804 Show data context 506 Show data context 257 Show data context 86 Show data context
Commercial Occupations 0 Show data context 1 Show data context 4 Show data context 10 Show data context 22 Show data context 28 Show data context 22 Show data context 33 Show data context 128 Show data context 149 Show data context 50 Show data context 16 Show data context 5 Show data context 2 Show data context
Transport 2 Show data context 0 Show data context 0 Show data context 0 Show data context 3 Show data context 3 Show data context 3 Show data context 5 Show data context 14 Show data context 11 Show data context 1 Show data context 3 Show data context 4 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 2 Show data context 5 Show data context 0 Show data context 1 Show data context 0 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 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 1 Show data context 3 Show data context 2 Show data context 3 Show data context 2 Show data context 1 Show data context 9 Show data context 4 Show data context 0 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 2 Show data context 0 Show data context 4 Show data context 3 Show data context 2 Show data context 9 Show data context 8 Show data context 2 Show data context 2 Show data context 1 Show data context 1 Show data context
Wood, Furniture
Brick, Cement 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 2 Show data context 4 Show data context 6 Show data context 4 Show data context 5 Show data context 3 Show data context 2 Show data context
Chemicals 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 1 Show data context 3 Show data context 1 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 0 Show data context 0 Show data context 1 Show data context 0 Show data context 0 Show data context 5 Show data context 2 Show data context 0 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 1 Show data context 0 Show data context 0 Show data context 0 Show data context 4 Show data context 2 Show data context 0 Show data context 2 Show data context 0 Show data context 0 Show data context
Textile Fabrics 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 6 Show data context 15 Show data context 14 Show data context 17 Show data context 4 Show data context 2 Show data context 0 Show data context
Dress 0 Show data context 0 Show data context 2 Show data context 9 Show data context 10 Show data context 18 Show data context 18 Show data context 12 Show data context 77 Show data context 61 Show data context 28 Show data context 16 Show data context 8 Show data context 2 Show data context
Food, Drink 0 Show data context 0 Show data context 22 Show data context 34 Show data context 42 Show data context 39 Show data context 50 Show data context 46 Show data context 209 Show data context 249 Show data context 146 Show data context 85 Show data context 52 Show data context 32 Show data context
Gas, Water 0 Show data context 0 Show data context 4 Show data context 5 Show data context 6 Show data context 10 Show data context 12 Show data context 15 Show data context 80 Show data context 121 Show data context 115 Show data context 89 Show data context 56 Show data context 33 Show data context
Other and 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 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
Unoccupied 0 Show data context 0 Show data context 0 Show data context 4 Show data context 5 Show data context 3 Show data context 5 Show data context 3 Show data context 18 Show data context 15 Show data context 15 Show data context 11 Show data context 4 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, Ealing MB/UD 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/10108056/cube/OCC_ORD1911_AGESEX

Date accessed: 16th July 2020