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 13 Show data context 8 Show data context 7 Show data context 11 Show data context 6 Show data context 26 Show data context 66 Show data context 72 Show data context 33 Show data context 30 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 2 Show data context 3 Show data context 9 Show data context 35 Show data context 29 Show data context 11 Show data context 3 Show data context 1 Show data context
Professional Occupations 0 Show data context 0 Show data context 1 Show data context 1 Show data context 2 Show data context 3 Show data context 12 Show data context 5 Show data context 55 Show data context 127 Show data context 120 Show data context 98 Show data context 77 Show data context 40 Show data context
Domestic Services 0 Show data context 1 Show data context 6 Show data context 9 Show data context 19 Show data context 14 Show data context 21 Show data context 9 Show data context 43 Show data context 97 Show data context 103 Show data context 75 Show data context 44 Show data context 27 Show data context
Commercial Occupations 0 Show data context 0 Show data context 0 Show data context 2 Show data context 3 Show data context 4 Show data context 4 Show data context 5 Show data context 33 Show data context 60 Show data context 69 Show data context 29 Show data context 28 Show data context 12 Show data context
Transport 2 Show data context 4 Show data context 21 Show data context 39 Show data context 41 Show data context 52 Show data context 53 Show data context 41 Show data context 260 Show data context 563 Show data context 583 Show data context 418 Show data context 288 Show data context 91 Show data context
Agriculture 1 Show data context 13 Show data context 77 Show data context 170 Show data context 194 Show data context 215 Show data context 220 Show data context 168 Show data context 693 Show data context 1,137 Show data context 993 Show data context 922 Show data context 751 Show data context 680 Show data context
Mines and Quarries
Metals, Machines 0 Show data context 0 Show data context 4 Show data context 9 Show data context 8 Show data context 11 Show data context 11 Show data context 16 Show data context 87 Show data context 178 Show data context 138 Show data context 119 Show data context 81 Show data context 56 Show data context
Jewelry, Instruments 0 Show data context 0 Show data context 6 Show data context 8 Show data context 18 Show data context 24 Show data context 19 Show data context 14 Show data context 83 Show data context 131 Show data context 135 Show data context 133 Show data context 63 Show data context 30 Show data context
Building 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 2 Show data context 5 Show data context 4 Show data context 6 Show data context 8 Show data context 6 Show data context 2 Show data context
Wood, Furniture 0 Show data context 0 Show data context 3 Show data context 11 Show data context 14 Show data context 20 Show data context 26 Show data context 21 Show data context 132 Show data context 295 Show data context 246 Show data context 222 Show data context 169 Show data context 119 Show data context
Brick, Cement 0 Show data context 0 Show data context 1 Show data context 1 Show data context 1 Show data context 2 Show data context 4 Show data context 1 Show data context 11 Show data context 14 Show data context 22 Show data context 11 Show data context 7 Show data context 12 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 5 Show data context 2 Show data context 7 Show data context 1 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 2 Show data context 1 Show data context 0 Show data context 3 Show data context 6 Show data context 13 Show data context 13 Show data context 5 Show data context 8 Show data context 2 Show data context
Paper, Prints 0 Show data context 0 Show data context 1 Show data context 0 Show data context 1 Show data context 0 Show data context 0 Show data context 2 Show data context 3 Show data context 8 Show data context 5 Show data context 6 Show data context 5 Show data context 3 Show data context
Textile Fabrics 0 Show data context 0 Show data context 2 Show data context 0 Show data context 1 Show data context 1 Show data context 1 Show data context 0 Show data context 5 Show data context 9 Show data context 4 Show data context 7 Show data context 6 Show data context 1 Show data context
Dress 0 Show data context 0 Show data context 3 Show data context 5 Show data context 6 Show data context 7 Show data context 3 Show data context 5 Show data context 10 Show data context 27 Show data context 31 Show data context 25 Show data context 14 Show data context 8 Show data context
Food, Drink 0 Show data context 0 Show data context 4 Show data context 5 Show data context 9 Show data context 8 Show data context 8 Show data context 11 Show data context 33 Show data context 77 Show data context 52 Show data context 66 Show data context 56 Show data context 64 Show data context
Gas, Water 0 Show data context 0 Show data context 14 Show data context 26 Show data context 28 Show data context 32 Show data context 29 Show data context 24 Show data context 86 Show data context 172 Show data context 187 Show data context 124 Show data context 79 Show data context 47 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 1 Show data context 2 Show data context 9 Show data context 17 Show data context 6 Show data context 3 Show data context 3 Show data context
Unoccupied 0 Show data context 1 Show data context 11 Show data context 14 Show data context 21 Show data context 21 Show data context 25 Show data context 17 Show data context 112 Show data context 190 Show data context 184 Show data context 181 Show data context 116 Show data context 101 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 2 Show data context 2 Show data context 2 Show data context 1 Show data context 7 Show data context 12 Show data context 9 Show data context 8 Show data context 6 Show data context 3 Show data context
Defence
Professional Occupations 0 Show data context 0 Show data context 1 Show data context 2 Show data context 1 Show data context 4 Show data context 13 Show data context 16 Show data context 118 Show data context 138 Show data context 52 Show data context 31 Show data context 15 Show data context 11 Show data context
Domestic Services 2 Show data context 13 Show data context 90 Show data context 173 Show data context 171 Show data context 203 Show data context 202 Show data context 160 Show data context 615 Show data context 533 Show data context 244 Show data context 202 Show data context 126 Show data context 72 Show data context
Commercial Occupations 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 6 Show data context 3 Show data context 1 Show data context 0 Show data context 0 Show data context 0 Show data context
Transport 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 0 Show data context 2 Show data context 6 Show data context 3 Show data context 3 Show data context 1 Show data context 0 Show data context
Agriculture 1 Show data context 0 Show data context 8 Show data context 24 Show data context 23 Show data context 20 Show data context 29 Show data context 26 Show data context 128 Show data context 191 Show data context 146 Show data context 123 Show data context 137 Show data context 213 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 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 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 5 Show data context 3 Show data context 0 Show data context 2 Show data context
Building 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 0 Show data context 1 Show data context 2 Show data context 1 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 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 0 Show data context
Chemicals 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 2 Show data context 3 Show data context
Skins, Leather 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 0 Show data context 0 Show data context 0 Show data context 0 Show data context 2 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 1 Show data context 1 Show data context 1 Show data context 0 Show data context 0 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 3 Show data context 1 Show data context 0 Show data context 1 Show data context 2 Show data context 4 Show data context 2 Show data context 2 Show data context 2 Show data context 1 Show data context
Dress 0 Show data context 0 Show data context 4 Show data context 3 Show data context 2 Show data context 5 Show data context 6 Show data context 4 Show data context 21 Show data context 30 Show data context 17 Show data context 13 Show data context 16 Show data context 12 Show data context
Food, Drink 0 Show data context 0 Show data context 6 Show data context 14 Show data context 37 Show data context 42 Show data context 26 Show data context 35 Show data context 136 Show data context 176 Show data context 111 Show data context 73 Show data context 47 Show data context 53 Show data context
Gas, Water 0 Show data context 0 Show data context 2 Show data context 3 Show data context 8 Show data context 10 Show data context 9 Show data context 9 Show data context 64 Show data context 108 Show data context 112 Show data context 152 Show data context 119 Show data context 107 Show data context
Other and Undefined
Unoccupied 0 Show data context 0 Show data context 0 Show data context 4 Show data context 1 Show data context 4 Show data context 1 Show data context 3 Show data context 11 Show data context 13 Show data context 14 Show data context 18 Show data context 23 Show data context 17 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, Anglesey AdmC 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/10134845/cube/OCC_ORD1911_AGESEX

Date accessed: 15th October 2019