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 5 Show data context 7 Show data context 7 Show data context 5 Show data context 6 Show data context 8 Show data context 47 Show data context 120 Show data context 77 Show data context 46 Show data context 16 Show data context 7 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 0 Show data context 1 Show data context 2 Show data context 5 Show data context 4 Show data context 1 Show data context 0 Show data context 0 Show data context
Professional Occupations 0 Show data context 2 Show data context 3 Show data context 9 Show data context 11 Show data context 19 Show data context 21 Show data context 8 Show data context 74 Show data context 167 Show data context 143 Show data context 96 Show data context 44 Show data context 9 Show data context
Domestic Services 0 Show data context 4 Show data context 3 Show data context 5 Show data context 6 Show data context 5 Show data context 5 Show data context 2 Show data context 22 Show data context 48 Show data context 43 Show data context 45 Show data context 25 Show data context 17 Show data context
Commercial Occupations 0 Show data context 2 Show data context 10 Show data context 20 Show data context 35 Show data context 31 Show data context 47 Show data context 26 Show data context 158 Show data context 350 Show data context 256 Show data context 147 Show data context 85 Show data context 27 Show data context
Transport 23 Show data context 130 Show data context 155 Show data context 94 Show data context 62 Show data context 71 Show data context 58 Show data context 56 Show data context 334 Show data context 659 Show data context 457 Show data context 305 Show data context 153 Show data context 51 Show data context
Agriculture 0 Show data context 4 Show data context 7 Show data context 6 Show data context 3 Show data context 8 Show data context 5 Show data context 6 Show data context 22 Show data context 39 Show data context 39 Show data context 35 Show data context 28 Show data context 20 Show data context
Mines and Quarries
Metals, Machines 0 Show data context 168 Show data context 266 Show data context 334 Show data context 373 Show data context 399 Show data context 383 Show data context 404 Show data context 1,827 Show data context 3,100 Show data context 2,439 Show data context 1,554 Show data context 824 Show data context 196 Show data context
Jewelry, Instruments 1 Show data context 29 Show data context 75 Show data context 91 Show data context 102 Show data context 130 Show data context 124 Show data context 113 Show data context 485 Show data context 785 Show data context 566 Show data context 463 Show data context 252 Show data context 67 Show data context
Building 0 Show data context 1 Show data context 1 Show data context 3 Show data context 2 Show data context 1 Show data context 6 Show data context 5 Show data context 9 Show data context 17 Show data context 21 Show data context 16 Show data context 8 Show data context 3 Show data context
Wood, Furniture 0 Show data context 18 Show data context 23 Show data context 33 Show data context 46 Show data context 35 Show data context 30 Show data context 51 Show data context 227 Show data context 496 Show data context 323 Show data context 287 Show data context 179 Show data context 67 Show data context
Brick, Cement 0 Show data context 3 Show data context 4 Show data context 7 Show data context 3 Show data context 5 Show data context 8 Show data context 6 Show data context 41 Show data context 100 Show data context 70 Show data context 43 Show data context 24 Show data context 13 Show data context
Chemicals 0 Show data context 5 Show data context 2 Show data context 3 Show data context 4 Show data context 3 Show data context 1 Show data context 3 Show data context 12 Show data context 25 Show data context 20 Show data context 16 Show data context 5 Show data context 4 Show data context
Skins, Leather 0 Show data context 1 Show data context 4 Show data context 4 Show data context 4 Show data context 4 Show data context 10 Show data context 3 Show data context 20 Show data context 38 Show data context 42 Show data context 21 Show data context 22 Show data context 7 Show data context
Paper, Prints 0 Show data context 0 Show data context 2 Show data context 1 Show data context 2 Show data context 0 Show data context 2 Show data context 1 Show data context 5 Show data context 13 Show data context 14 Show data context 11 Show data context 5 Show data context 4 Show data context
Textile Fabrics 1 Show data context 5 Show data context 6 Show data context 7 Show data context 10 Show data context 4 Show data context 7 Show data context 6 Show data context 27 Show data context 56 Show data context 34 Show data context 25 Show data context 14 Show data context 2 Show data context
Dress 3 Show data context 84 Show data context 115 Show data context 85 Show data context 63 Show data context 54 Show data context 38 Show data context 48 Show data context 166 Show data context 193 Show data context 211 Show data context 129 Show data context 66 Show data context 20 Show data context
Food, Drink 3 Show data context 19 Show data context 21 Show data context 25 Show data context 36 Show data context 27 Show data context 29 Show data context 31 Show data context 106 Show data context 213 Show data context 162 Show data context 84 Show data context 47 Show data context 25 Show data context
Gas, Water 2 Show data context 24 Show data context 42 Show data context 73 Show data context 54 Show data context 77 Show data context 64 Show data context 70 Show data context 244 Show data context 464 Show data context 398 Show data context 234 Show data context 109 Show data context 45 Show data context
Other and Undefined 0 Show data context 0 Show data context 1 Show data context 7 Show data context 2 Show data context 9 Show data context 2 Show data context 3 Show data context 18 Show data context 54 Show data context 70 Show data context 45 Show data context 47 Show data context 46 Show data context
Unoccupied 14 Show data context 20 Show data context 23 Show data context 23 Show data context 27 Show data context 31 Show data context 29 Show data context 25 Show data context 133 Show data context 259 Show data context 231 Show data context 160 Show data context 137 Show data context 69 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 1 Show data context 3 Show data context 11 Show data context 11 Show data context 9 Show data context 7 Show data context 1 Show data context 1 Show data context
Defence
Professional Occupations 0 Show data context 1 Show data context 3 Show data context 1 Show data context 1 Show data context 2 Show data context 13 Show data context 18 Show data context 126 Show data context 234 Show data context 109 Show data context 65 Show data context 30 Show data context 8 Show data context
Domestic Services 2 Show data context 26 Show data context 46 Show data context 59 Show data context 68 Show data context 74 Show data context 87 Show data context 99 Show data context 401 Show data context 396 Show data context 239 Show data context 174 Show data context 115 Show data context 44 Show data context
Commercial Occupations 0 Show data context 0 Show data context 1 Show data context 4 Show data context 3 Show data context 13 Show data context 11 Show data context 9 Show data context 31 Show data context 32 Show data context 10 Show data context 2 Show data context 2 Show data context 0 Show data context
Transport 0 Show data context 1 Show data context 1 Show data context 1 Show data context 2 Show data context 1 Show data context 0 Show data context 3 Show data context 4 Show data context 2 Show data context 4 Show data context 1 Show data context 1 Show data context 1 Show data context
Agriculture 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 2 Show data context 7 Show data context 6 Show data context 4 Show data context 0 Show data context 0 Show data context 6 Show data context
Mines and Quarries
Metals, Machines 0 Show data context 2 Show data context 7 Show data context 10 Show data context 19 Show data context 23 Show data context 19 Show data context 13 Show data context 60 Show data context 45 Show data context 20 Show data context 9 Show data context 2 Show data context 1 Show data context
Jewelry, Instruments 0 Show data context 0 Show data context 2 Show data context 1 Show data context 2 Show data context 2 Show data context 3 Show data context 2 Show data context 6 Show data context 10 Show data context 9 Show data context 5 Show data context 2 Show data context 3 Show data context
Building 0 Show data context 0 Show data context 1 Show data context 3 Show data context 2 Show data context 0 Show data context 1 Show data context 1 Show data context 1 Show data context 2 Show data context 1 Show data context 2 Show data context 1 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 1 Show data context 0 Show data context 0 Show data context 0 Show data context
Brick, Cement 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 4 Show data context 12 Show data context 8 Show data context 6 Show data context 7 Show data context 6 Show data context 2 Show data context
Chemicals 0 Show data context 0 Show data context 0 Show data context 0 Show data context 4 Show data context 3 Show data context 2 Show data context 3 Show data context 7 Show data context 5 Show data context 1 Show data context 4 Show data context 1 Show data context 0 Show data context
Skins, Leather 0 Show data context 0 Show data context 2 Show data context 0 Show data context 1 Show data context 0 Show data context 3 Show data context 1 Show data context 3 Show data context 9 Show data context 5 Show data context 0 Show data context 1 Show data context 0 Show data context
Paper, Prints 0 Show data context 2 Show data context 1 Show data context 1 Show data context 1 Show data context 1 Show data context 0 Show data context 1 Show data context 2 Show data context 0 Show data context 1 Show data context 0 Show data context 1 Show data context 0 Show data context
Textile Fabrics 0 Show data context 4 Show data context 6 Show data context 7 Show data context 9 Show data context 2 Show data context 5 Show data context 5 Show data context 20 Show data context 31 Show data context 11 Show data context 10 Show data context 5 Show data context 5 Show data context
Dress 3 Show data context 335 Show data context 452 Show data context 523 Show data context 488 Show data context 545 Show data context 486 Show data context 452 Show data context 1,492 Show data context 1,027 Show data context 383 Show data context 162 Show data context 41 Show data context 12 Show data context
Food, Drink 0 Show data context 73 Show data context 142 Show data context 173 Show data context 148 Show data context 150 Show data context 145 Show data context 127 Show data context 550 Show data context 403 Show data context 170 Show data context 86 Show data context 32 Show data context 13 Show data context
Gas, Water 4 Show data context 8 Show data context 11 Show data context 22 Show data context 30 Show data context 26 Show data context 28 Show data context 37 Show data context 167 Show data context 266 Show data context 247 Show data context 151 Show data context 107 Show data context 48 Show data context
Other and Undefined
Unoccupied 0 Show data context 1 Show data context 7 Show data context 3 Show data context 1 Show data context 2 Show data context 6 Show data context 2 Show data context 15 Show data context 23 Show data context 24 Show data context 15 Show data context 18 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, Wigan 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/10109206/cube/OCC_ORD1911_AGESEX

Date accessed: 21st September 2020