Persons Aged over 10 by Sex, Age & 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 4 Show data context 2 Show data context 2 Show data context 1 Show data context 2 Show data context 3 Show data context 4 Show data context 35 Show data context 76 Show data context 55 Show data context 35 Show data context 18 Show data context 3 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 0 Show data context 2 Show data context 5 Show data context 1 Show data context 0 Show data context 0 Show data context 0 Show data context
Professional Occupations 0 Show data context 0 Show data context 1 Show data context 7 Show data context 6 Show data context 5 Show data context 4 Show data context 10 Show data context 63 Show data context 133 Show data context 102 Show data context 78 Show data context 45 Show data context 20 Show data context
Domestic Services 0 Show data context 0 Show data context 1 Show data context 3 Show data context 3 Show data context 5 Show data context 5 Show data context 2 Show data context 25 Show data context 49 Show data context 42 Show data context 39 Show data context 29 Show data context 9 Show data context
Commercial Occupations 0 Show data context 1 Show data context 12 Show data context 13 Show data context 17 Show data context 29 Show data context 24 Show data context 30 Show data context 107 Show data context 205 Show data context 149 Show data context 109 Show data context 76 Show data context 27 Show data context
Transport 4 Show data context 62 Show data context 74 Show data context 48 Show data context 29 Show data context 28 Show data context 26 Show data context 32 Show data context 201 Show data context 505 Show data context 334 Show data context 241 Show data context 120 Show data context 36 Show data context
Agriculture 0 Show data context 5 Show data context 5 Show data context 5 Show data context 1 Show data context 4 Show data context 4 Show data context 5 Show data context 28 Show data context 54 Show data context 60 Show data context 50 Show data context 55 Show data context 24 Show data context
Mines & Quarries
Metals, Machines 0 Show data context 44 Show data context 63 Show data context 65 Show data context 78 Show data context 89 Show data context 78 Show data context 72 Show data context 346 Show data context 644 Show data context 487 Show data context 289 Show data context 133 Show data context 29 Show data context
Jewelry, Instruments 0 Show data context 9 Show data context 10 Show data context 23 Show data context 25 Show data context 35 Show data context 35 Show data context 28 Show data context 186 Show data context 310 Show data context 266 Show data context 166 Show data context 103 Show data context 36 Show data context
Building 0 Show data context 2 Show data context 0 Show data context 2 Show data context 1 Show data context 1 Show data context 6 Show data context 4 Show data context 12 Show data context 35 Show data context 30 Show data context 11 Show data context 8 Show data context 1 Show data context
Wood, Furniture 0 Show data context 5 Show data context 10 Show data context 14 Show data context 9 Show data context 12 Show data context 18 Show data context 8 Show data context 111 Show data context 312 Show data context 242 Show data context 207 Show data context 140 Show data context 34 Show data context
Brick, Cement 0 Show data context 10 Show data context 7 Show data context 9 Show data context 13 Show data context 5 Show data context 4 Show data context 8 Show data context 48 Show data context 98 Show data context 75 Show data context 42 Show data context 21 Show data context 8 Show data context
Chemicals 0 Show data context 0 Show data context 10 Show data context 17 Show data context 13 Show data context 13 Show data context 14 Show data context 14 Show data context 53 Show data context 84 Show data context 80 Show data context 65 Show data context 25 Show data context 9 Show data context
Skins, Leather 0 Show data context 2 Show data context 3 Show data context 3 Show data context 4 Show data context 4 Show data context 6 Show data context 5 Show data context 37 Show data context 69 Show data context 50 Show data context 36 Show data context 29 Show data context 6 Show data context
Paper, Prints 0 Show data context 2 Show data context 0 Show data context 2 Show data context 4 Show data context 4 Show data context 6 Show data context 6 Show data context 21 Show data context 31 Show data context 27 Show data context 18 Show data context 11 Show data context 5 Show data context
Textile Fabrics 0 Show data context 2 Show data context 9 Show data context 6 Show data context 3 Show data context 10 Show data context 8 Show data context 7 Show data context 21 Show data context 33 Show data context 25 Show data context 21 Show data context 7 Show data context 3 Show data context
Dress 0 Show data context 94 Show data context 135 Show data context 115 Show data context 128 Show data context 160 Show data context 140 Show data context 140 Show data context 620 Show data context 1,085 Show data context 1,091 Show data context 826 Show data context 511 Show data context 180 Show data context
Food, Drink 3 Show data context 9 Show data context 13 Show data context 15 Show data context 16 Show data context 15 Show data context 11 Show data context 12 Show data context 76 Show data context 99 Show data context 85 Show data context 53 Show data context 36 Show data context 30 Show data context
Gas, Water 0 Show data context 13 Show data context 22 Show data context 21 Show data context 31 Show data context 26 Show data context 19 Show data context 32 Show data context 142 Show data context 297 Show data context 284 Show data context 186 Show data context 103 Show data context 41 Show data context
Other & Undefined 0 Show data context 0 Show data context 0 Show data context 1 Show data context 1 Show data context 2 Show data context 1 Show data context 2 Show data context 10 Show data context 65 Show data context 54 Show data context 67 Show data context 38 Show data context 15 Show data context
Unoccupied 7 Show data context 10 Show data context 7 Show data context 3 Show data context 16 Show data context 20 Show data context 8 Show data context 17 Show data context 86 Show data context 218 Show data context 222 Show data context 182 Show data context 117 Show data context 53 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 1 Show data context 2 Show data context 2 Show data context 16 Show data context 26 Show data context 15 Show data context 8 Show data context 4 Show data context 2 Show data context
Defence
Professional Occupations 0 Show data context 1 Show data context 1 Show data context 2 Show data context 2 Show data context 6 Show data context 15 Show data context 13 Show data context 114 Show data context 125 Show data context 57 Show data context 30 Show data context 20 Show data context 4 Show data context
Domestic Services 0 Show data context 12 Show data context 17 Show data context 31 Show data context 40 Show data context 52 Show data context 65 Show data context 52 Show data context 233 Show data context 244 Show data context 169 Show data context 125 Show data context 94 Show data context 32 Show data context
Commercial Occupations 0 Show data context 1 Show data context 1 Show data context 3 Show data context 3 Show data context 11 Show data context 13 Show data context 5 Show data context 20 Show data context 12 Show data context 6 Show data context 0 Show data context 2 Show data context 0 Show data context
Transport 0 Show data context 2 Show data context 2 Show data context 4 Show data context 3 Show data context 4 Show data context 2 Show data context 0 Show data context 5 Show data context 4 Show data context 2 Show data context 1 Show data context 0 Show data context 0 Show data context
Agriculture 0 Show data context 1 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 2 Show data context 2 Show data context 1 Show data context 1 Show data context 1 Show data context
Mines & 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 0 Show data context 0 Show data context 0 Show data context 1 Show data context 1 Show data context
Jewelry, Instruments 0 Show data context 3 Show data context 1 Show data context 0 Show data context 1 Show data context 1 Show data context 0 Show data context 1 Show data context 9 Show data context 3 Show data context 0 Show data context 2 Show data context 0 Show data context 0 Show data context
Building 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 1 Show data context 3 Show data context 1 Show data context 0 Show data context 1 Show data context 1 Show data context 1 Show data context
Wood, Furniture
Brick, Cement 0 Show data context 3 Show data context 0 Show data context 3 Show data context 1 Show data context 0 Show data context 0 Show data context 2 Show data context 3 Show data context 6 Show data context 2 Show data context 3 Show data context 2 Show data context 0 Show data context
Chemicals 0 Show data context 0 Show data context 1 Show data context 1 Show data context 5 Show data context 2 Show data context 2 Show data context 4 Show data context 8 Show data context 11 Show data context 7 Show data context 5 Show data context 1 Show data context 0 Show data context
Skins, Leather 0 Show data context 2 Show data context 1 Show data context 2 Show data context 3 Show data context 1 Show data context 2 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
Paper, Prints 0 Show data context 1 Show data context 3 Show data context 3 Show data context 3 Show data context 2 Show data context 2 Show data context 1 Show data context 7 Show data context 5 Show data context 3 Show data context 4 Show data context 1 Show data context 0 Show data context
Textile Fabrics 0 Show data context 6 Show data context 5 Show data context 8 Show data context 2 Show data context 2 Show data context 2 Show data context 3 Show data context 16 Show data context 14 Show data context 6 Show data context 1 Show data context 1 Show data context 0 Show data context
Dress 0 Show data context 159 Show data context 227 Show data context 244 Show data context 228 Show data context 273 Show data context 287 Show data context 228 Show data context 1,212 Show data context 1,219 Show data context 664 Show data context 429 Show data context 148 Show data context 34 Show data context
Food, Drink 0 Show data context 16 Show data context 41 Show data context 43 Show data context 53 Show data context 45 Show data context 48 Show data context 37 Show data context 172 Show data context 175 Show data context 69 Show data context 51 Show data context 23 Show data context 6 Show data context
Gas, Water 0 Show data context 8 Show data context 16 Show data context 21 Show data context 21 Show data context 16 Show data context 20 Show data context 15 Show data context 65 Show data context 92 Show data context 122 Show data context 98 Show data context 56 Show data context 32 Show data context
Other & Undefined
Unoccupied 0 Show data context 18 Show data context 41 Show data context 43 Show data context 35 Show data context 39 Show data context 39 Show data context 36 Show data context 153 Show data context 179 Show data context 96 Show data context 62 Show data context 28 Show data context 14 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, Dewsbury CB/MB through time | Industry Statistics | Persons Aged over 10 by Sex, Age & 1911 Occupational Order, A Vision of Britain through Time.

URL: https://www.visionofbritain.org.uk/unit/10108792/cube/OCC_ORD1911_AGESEX

Date accessed: 26th April 2024