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 10-13 14 15 16 17 18-19 20-24 25-44 45-64 65-69 70 up
Government 0 Show data context 9 Show data context 11 Show data context 5 Show data context 4 Show data context 3 Show data context 27 Show data context 99 Show data context 55 Show data context 3 Show data context 4 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 25 Show data context 6 Show data context 1 Show data context 3 Show data context
Professional Occupations 0 Show data context 1 Show data context 13 Show data context 9 Show data context 10 Show data context 14 Show data context 36 Show data context 203 Show data context 137 Show data context 14 Show data context 10 Show data context
Domestic Services 0 Show data context 2 Show data context 15 Show data context 23 Show data context 12 Show data context 40 Show data context 104 Show data context 348 Show data context 168 Show data context 18 Show data context 15 Show data context
Commercial Occupations 0 Show data context 4 Show data context 3 Show data context 9 Show data context 10 Show data context 18 Show data context 40 Show data context 106 Show data context 60 Show data context 7 Show data context 6 Show data context
Transport 0 Show data context 10 Show data context 19 Show data context 22 Show data context 14 Show data context 39 Show data context 114 Show data context 419 Show data context 169 Show data context 18 Show data context 16 Show data context
Agriculture 3 Show data context 73 Show data context 97 Show data context 131 Show data context 119 Show data context 243 Show data context 515 Show data context 1,445 Show data context 944 Show data context 124 Show data context 97 Show data context
Fishing 0 Show data context 1 Show data context 2 Show data context 4 Show data context 4 Show data context 14 Show data context 47 Show data context 200 Show data context 173 Show data context 28 Show data context 17 Show data context
Mines and Quarries 3 Show data context 90 Show data context 130 Show data context 124 Show data context 132 Show data context 238 Show data context 499 Show data context 1,361 Show data context 464 Show data context 38 Show data context 17 Show data context
Metals, Machines 0 Show data context 4 Show data context 8 Show data context 14 Show data context 9 Show data context 16 Show data context 46 Show data context 148 Show data context 101 Show data context 10 Show data context 6 Show data context
Jewelry, Instruments 0 Show data context 0 Show data context 3 Show data context 1 Show data context 3 Show data context 5 Show data context 7 Show data context 15 Show data context 8 Show data context 0 Show data context 1 Show data context
Building 0 Show data context 9 Show data context 12 Show data context 21 Show data context 23 Show data context 30 Show data context 120 Show data context 473 Show data context 279 Show data context 39 Show data context 27 Show data context
Wood, Furniture 0 Show data context 2 Show data context 1 Show data context 2 Show data context 0 Show data context 3 Show data context 11 Show data context 45 Show data context 19 Show data context 4 Show data context 1 Show data context
Brick, Cement 0 Show data context 1 Show data context 4 Show data context 2 Show data context 1 Show data context 1 Show data context 6 Show data context 27 Show data context 25 Show data context 1 Show data context 2 Show data context
Chemicals 0 Show data context 0 Show data context 2 Show data context 2 Show data context 6 Show data context 2 Show data context 6 Show data context 31 Show data context 14 Show data context 0 Show data context 1 Show data context
Skins, Leather 0 Show data context 1 Show data context 0 Show data context 1 Show data context 2 Show data context 4 Show data context 6 Show data context 20 Show data context 8 Show data context 0 Show data context 2 Show data context
Paper, Prints 0 Show data context 2 Show data context 0 Show data context 6 Show data context 2 Show data context 2 Show data context 4 Show data context 24 Show data context 12 Show data context 0 Show data context 2 Show data context
Textile Fabrics 0 Show data context 0 Show data context 4 Show data context 3 Show data context 4 Show data context 3 Show data context 16 Show data context 58 Show data context 24 Show data context 4 Show data context 8 Show data context
Dress 0 Show data context 7 Show data context 7 Show data context 3 Show data context 8 Show data context 9 Show data context 27 Show data context 112 Show data context 74 Show data context 9 Show data context 12 Show data context
Food, Drink 2 Show data context 18 Show data context 27 Show data context 42 Show data context 36 Show data context 58 Show data context 120 Show data context 423 Show data context 193 Show data context 15 Show data context 16 Show data context
Gas, Water 0 Show data context 0 Show data context 0 Show data context 0 Show data context 1 Show data context 3 Show data context 2 Show data context 30 Show data context 33 Show data context 7 Show data context 2 Show data context
Other and Undefined 0 Show data context 5 Show data context 8 Show data context 9 Show data context 10 Show data context 15 Show data context 45 Show data context 271 Show data context 188 Show data context 28 Show data context 28 Show data context
Unoccupied 1,874 Show data context 196 Show data context 93 Show data context 30 Show data context 24 Show data context 35 Show data context 54 Show data context 62 Show data context 155 Show data context 86 Show data context 312 Show data context
Sex = Female 1911 Occupation Tables Age Groups
1911 Occupational Classification 10-13 14 15 16 17 18-19 20-24 25-44 45-64 65-69 70 up
Government 0 Show data context 0 Show data context 2 Show data context 3 Show data context 3 Show data context 11 Show data context 15 Show data context 19 Show data context 12 Show data context 1 Show data context 0 Show data context
Defence
Professional Occupations 0 Show data context 2 Show data context 1 Show data context 1 Show data context 1 Show data context 4 Show data context 67 Show data context 163 Show data context 45 Show data context 6 Show data context 3 Show data context
Domestic Services 0 Show data context 48 Show data context 77 Show data context 86 Show data context 109 Show data context 262 Show data context 490 Show data context 764 Show data context 295 Show data context 37 Show data context 23 Show data context
Commercial Occupations 0 Show data context 2 Show data context 2 Show data context 6 Show data context 7 Show data context 22 Show data context 54 Show data context 54 Show data context 7 Show data context 0 Show data context 2 Show data context
Transport 0 Show data context 6 Show data context 3 Show data context 2 Show data context 1 Show data context 1 Show data context 5 Show data context 4 Show data context 2 Show data context 0 Show data context 0 Show data context
Agriculture 0 Show data context 48 Show data context 88 Show data context 99 Show data context 121 Show data context 167 Show data context 294 Show data context 291 Show data context 168 Show data context 21 Show data context 22 Show data context
Fishing 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 0 Show data context
Mines and Quarries 0 Show data context 0 Show data context 2 Show data context 1 Show data context 0 Show data context 4 Show data context 3 Show data context 3 Show data context 0 Show data context 0 Show data context 0 Show data context
Metals, Machines 0 Show data context 1 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 0 Show data context 0 Show data context 1 Show data context
Jewelry, Instruments 0 Show data context 0 Show data context 0 Show data context 2 Show data context 1 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
Building 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 0 Show data context 0 Show data context
Wood, Furniture 0 Show data context 0 Show data context 2 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 0 Show data context 0 Show data context
Brick, Cement 0 Show data context 1 Show data context 0 Show data context 1 Show data context 1 Show data context 4 Show data context 7 Show data context 4 Show data context 2 Show data context 0 Show data context 0 Show data context
Chemicals 0 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 0 Show data context
Skins, Leather
Paper, Prints 0 Show data context 2 Show data context 2 Show data context 1 Show data context 2 Show data context 3 Show data context 7 Show data context 10 Show data context 5 Show data context 2 Show data context 0 Show data context
Textile Fabrics 0 Show data context 3 Show data context 7 Show data context 3 Show data context 6 Show data context 8 Show data context 16 Show data context 18 Show data context 8 Show data context 2 Show data context 0 Show data context
Dress 0 Show data context 13 Show data context 28 Show data context 23 Show data context 28 Show data context 62 Show data context 91 Show data context 107 Show data context 48 Show data context 3 Show data context 4 Show data context
Food, Drink 0 Show data context 4 Show data context 8 Show data context 6 Show data context 8 Show data context 8 Show data context 39 Show data context 91 Show data context 118 Show data context 18 Show data context 26 Show data context
Gas, Water
Other and Undefined 0 Show data context 1 Show data context 6 Show data context 3 Show data context 0 Show data context 9 Show data context 14 Show data context 22 Show data context 18 Show data context 4 Show data context 3 Show data context
Unoccupied 1,775 Show data context 325 Show data context 189 Show data context 131 Show data context 122 Show data context 225 Show data context 800 Show data context 4,599 Show data context 2,881 Show data context 417 Show data context 748 Show data context
nCube definition Click on the triangles for all about a particular number
Date: Source:
1911 1911 Census of Scotland, County Report, Table 22 , 'Occupations of males and females aged 10 years and upwards, in eleven groups of ages, and by status'

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nCube definition


All males and females at ages 10 years and upwards, categorised by gender, by 11 age groups, and by 23 occupational 'Orders'. This is the information provided by the 1911 Census of Scotland's Occupation Tables, and differ from that published for England and Wales by using a simpler age classification. The occupational categories include Order 23, 'Without Specified Occupations or Unoccupied'.

How to reference this page:

GB Historical GIS / University of Portsmouth, East Lothian ScoCnty 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/10145995/cube/OCC_ORD1911_AGESEX_S

Date accessed: 21st October 2021