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 1 Show data context 7 Show data context 9 Show data context 7 Show data context 7 Show data context 8 Show data context 9 Show data context 53 Show data context 144 Show data context 121 Show data context 73 Show data context 32 Show data context 12 Show data context
Defence 0 Show data context 0 Show data context 0 Show data context 0 Show data context 0 Show data context 42 Show data context 64 Show data context 23 Show data context 42 Show data context 97 Show data context 68 Show data context 17 Show data context 8 Show data context 17 Show data context
Professional Occupations 0 Show data context 0 Show data context 6 Show data context 9 Show data context 14 Show data context 16 Show data context 12 Show data context 14 Show data context 80 Show data context 183 Show data context 149 Show data context 122 Show data context 78 Show data context 50 Show data context
Domestic Services 0 Show data context 2 Show data context 7 Show data context 10 Show data context 10 Show data context 11 Show data context 11 Show data context 12 Show data context 65 Show data context 102 Show data context 79 Show data context 82 Show data context 46 Show data context 19 Show data context
Commercial Occupations 0 Show data context 4 Show data context 12 Show data context 20 Show data context 28 Show data context 38 Show data context 29 Show data context 33 Show data context 156 Show data context 228 Show data context 223 Show data context 139 Show data context 71 Show data context 35 Show data context
Transport 15 Show data context 46 Show data context 155 Show data context 128 Show data context 121 Show data context 87 Show data context 70 Show data context 75 Show data context 282 Show data context 547 Show data context 438 Show data context 324 Show data context 207 Show data context 41 Show data context
Agriculture 0 Show data context 1 Show data context 5 Show data context 7 Show data context 12 Show data context 10 Show data context 6 Show data context 11 Show data context 46 Show data context 64 Show data context 70 Show data context 89 Show data context 84 Show data context 61 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 3 Show data context 0 Show data context 1 Show data context 5 Show data context 17 Show data context 20 Show data context 19 Show data context 6 Show data context 4 Show data context
Jewelry, Instruments 0 Show data context 1 Show data context 8 Show data context 27 Show data context 29 Show data context 39 Show data context 29 Show data context 37 Show data context 146 Show data context 294 Show data context 215 Show data context 160 Show data context 88 Show data context 50 Show data context
Building 0 Show data context 2 Show data context 3 Show data context 8 Show data context 8 Show data context 8 Show data context 8 Show data context 5 Show data context 54 Show data context 114 Show data context 59 Show data context 39 Show data context 20 Show data context 10 Show data context
Wood, Furniture 0 Show data context 0 Show data context 9 Show data context 11 Show data context 16 Show data context 23 Show data context 28 Show data context 28 Show data context 176 Show data context 362 Show data context 344 Show data context 315 Show data context 208 Show data context 80 Show data context
Brick, Cement 0 Show data context 0 Show data context 2 Show data context 6 Show data context 16 Show data context 16 Show data context 15 Show data context 16 Show data context 67 Show data context 119 Show data context 93 Show data context 82 Show data context 39 Show data context 39 Show data context
Chemicals 0 Show data context 1 Show data context 1 Show data context 0 Show data context 2 Show data context 1 Show data context 1 Show data context 1 Show data context 17 Show data context 19 Show data context 16 Show data context 14 Show data context 10 Show data context 5 Show data context
Skins, Leather 0 Show data context 0 Show data context 5 Show data context 1 Show data context 4 Show data context 4 Show data context 5 Show data context 6 Show data context 19 Show data context 50 Show data context 32 Show data context 31 Show data context 13 Show data context 6 Show data context
Paper, Prints 0 Show data context 0 Show data context 1 Show data context 0 Show data context 3 Show data context 4 Show data context 3 Show data context 4 Show data context 16 Show data context 30 Show data context 28 Show data context 28 Show data context 27 Show data context 10 Show data context
Textile Fabrics 0 Show data context 6 Show data context 10 Show data context 25 Show data context 24 Show data context 16 Show data context 20 Show data context 21 Show data context 77 Show data context 141 Show data context 124 Show data context 76 Show data context 40 Show data context 10 Show data context
Dress 0 Show data context 0 Show data context 2 Show data context 8 Show data context 5 Show data context 19 Show data context 13 Show data context 8 Show data context 31 Show data context 44 Show data context 24 Show data context 15 Show data context 19 Show data context 8 Show data context
Food, Drink 0 Show data context 4 Show data context 12 Show data context 19 Show data context 28 Show data context 35 Show data context 34 Show data context 32 Show data context 104 Show data context 171 Show data context 164 Show data context 125 Show data context 69 Show data context 60 Show data context
Gas, Water 0 Show data context 0 Show data context 13 Show data context 27 Show data context 35 Show data context 39 Show data context 57 Show data context 51 Show data context 210 Show data context 332 Show data context 292 Show data context 273 Show data context 132 Show data context 63 Show data context
Other and Undefined 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 3 Show data context 8 Show data context 33 Show data context 46 Show data context 42 Show data context 22 Show data context 6 Show data context
Unoccupied 1 Show data context 1 Show data context 8 Show data context 8 Show data context 15 Show data context 22 Show data context 17 Show data context 25 Show data context 117 Show data context 264 Show data context 221 Show data context 213 Show data context 136 Show data context 72 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 3 Show data context 5 Show data context 2 Show data context 1 Show data context 16 Show data context 24 Show data context 14 Show data context 7 Show data context 3 Show data context 1 Show data context
Defence
Professional Occupations 0 Show data context 1 Show data context 3 Show data context 5 Show data context 2 Show data context 5 Show data context 11 Show data context 18 Show data context 132 Show data context 218 Show data context 120 Show data context 99 Show data context 59 Show data context 20 Show data context
Domestic Services 0 Show data context 14 Show data context 59 Show data context 98 Show data context 121 Show data context 156 Show data context 173 Show data context 179 Show data context 822 Show data context 669 Show data context 395 Show data context 293 Show data context 223 Show data context 88 Show data context
Commercial Occupations 0 Show data context 0 Show data context 2 Show data context 10 Show data context 7 Show data context 11 Show data context 6 Show data context 14 Show data context 42 Show data context 30 Show data context 16 Show data context 7 Show data context 4 Show data context 1 Show data context
Transport 0 Show data context 1 Show data context 0 Show data context 0 Show data context 1 Show data context 1 Show data context 1 Show data context 1 Show data context 6 Show data context 2 Show data context 4 Show data context 2 Show data context 2 Show data context 1 Show data context
Agriculture 0 Show data context 0 Show data context 0 Show data context 2 Show data context 2 Show data context 0 Show data context 0 Show data context 0 Show data context 4 Show data context 3 Show data context 3 Show data context 2 Show data context 1 Show data context 2 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 1 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 0 Show data context
Jewelry, Instruments 0 Show data context 0 Show data context 0 Show data context 1 Show data context 1 Show data context 0 Show data context 2 Show data context 2 Show data context 4 Show data context 1 Show data context 5 Show data context 3 Show data context 0 Show data context 0 Show data context
Building 0 Show data context 1 Show data context 1 Show data context 2 Show data context 0 Show data context 1 Show data context 1 Show data context 3 Show data context 7 Show data context 6 Show data context 4 Show data context 2 Show data context 4 Show data context 1 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 1 Show data context 0 Show data context 1 Show data context
Brick, Cement 0 Show data context 0 Show data context 1 Show data context 4 Show data context 0 Show data context 1 Show data context 1 Show data context 2 Show data context 8 Show data context 18 Show data context 9 Show data context 10 Show data context 9 Show data context 2 Show data context
Chemicals 0 Show data context 1 Show data context 0 Show data context 1 Show data context 0 Show data context 1 Show data context 2 Show data context 1 Show data context 3 Show data context 5 Show data context 4 Show data context 1 Show data context 3 Show data context 1 Show data context
Skins, Leather 0 Show data context 1 Show data context 2 Show data context 2 Show data context 1 Show data context 7 Show data context 5 Show data context 4 Show data context 5 Show data context 4 Show data context 0 Show data context 1 Show data context 1 Show data context 1 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 2 Show data context 2 Show data context 1 Show data context 3 Show data context 7 Show data context 4 Show data context 6 Show data context 3 Show data context 2 Show data context
Textile Fabrics 0 Show data context 2 Show data context 8 Show data context 18 Show data context 12 Show data context 13 Show data context 11 Show data context 18 Show data context 70 Show data context 34 Show data context 14 Show data context 14 Show data context 8 Show data context 0 Show data context
Dress 0 Show data context 0 Show data context 5 Show data context 18 Show data context 23 Show data context 23 Show data context 17 Show data context 28 Show data context 114 Show data context 69 Show data context 28 Show data context 19 Show data context 9 Show data context 13 Show data context
Food, Drink 0 Show data context 9 Show data context 63 Show data context 110 Show data context 123 Show data context 119 Show data context 97 Show data context 103 Show data context 417 Show data context 298 Show data context 199 Show data context 132 Show data context 83 Show data context 38 Show data context
Gas, Water 0 Show data context 3 Show data context 10 Show data context 17 Show data context 12 Show data context 24 Show data context 15 Show data context 24 Show data context 111 Show data context 147 Show data context 177 Show data context 172 Show data context 136 Show data context 69 Show data context
Other and Undefined
Unoccupied 0 Show data context 1 Show data context 8 Show data context 5 Show data context 10 Show data context 3 Show data context 8 Show data context 7 Show data context 31 Show data context 50 Show data context 35 Show data context 65 Show data context 29 Show data context 15 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, Exeter MB/CB 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/10108433/cube/OCC_ORD1911_AGESEX

Date accessed: 06th December 2019