Cardiff County Borough (CB) : Persons Aged over 10 by Sex, Age & 1911 Occupational Order

Persons Aged over 10 by Sex, Age & 1911 Occupational Order

Data cube chart.

Data cube chart.

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 47 Show data context 78 Show data context 47 Show data context 26 Show data context 17 Show data context 16 Show data context 195 Show data context 413 Show data context 403 Show data context 208 Show data context 68 Show data context 22 Show data context
Defence 0 Show data context 0 Show data context 0 Show data context 0 Show data context 1 Show data context 9 Show data context 19 Show data context 18 Show data context 44 Show data context 65 Show data context 46 Show data context 9 Show data context 3 Show data context 1 Show data context
Professional Occupations 0 Show data context 0 Show data context 18 Show data context 32 Show data context 40 Show data context 52 Show data context 54 Show data context 47 Show data context 280 Show data context 534 Show data context 510 Show data context 329 Show data context 151 Show data context 87 Show data context
Domestic Services 1 Show data context 0 Show data context 14 Show data context 24 Show data context 22 Show data context 20 Show data context 29 Show data context 27 Show data context 139 Show data context 212 Show data context 168 Show data context 128 Show data context 91 Show data context 46 Show data context
Commercial Occupations 0 Show data context 0 Show data context 60 Show data context 132 Show data context 216 Show data context 252 Show data context 217 Show data context 205 Show data context 985 Show data context 1,498 Show data context 970 Show data context 621 Show data context 294 Show data context 110 Show data context
Transport 25 Show data context 55 Show data context 527 Show data context 543 Show data context 415 Show data context 415 Show data context 397 Show data context 398 Show data context 2,224 Show data context 4,545 Show data context 3,630 Show data context 2,661 Show data context 1,370 Show data context 496 Show data context
Agriculture 0 Show data context 0 Show data context 4 Show data context 5 Show data context 8 Show data context 12 Show data context 13 Show data context 13 Show data context 36 Show data context 72 Show data context 62 Show data context 79 Show data context 74 Show data context 53 Show data context
Mines & Quarries
Metals, Machines 0 Show data context 0 Show data context 11 Show data context 17 Show data context 32 Show data context 35 Show data context 47 Show data context 37 Show data context 201 Show data context 366 Show data context 272 Show data context 197 Show data context 92 Show data context 34 Show data context
Jewelry, Instruments 0 Show data context 2 Show data context 34 Show data context 105 Show data context 192 Show data context 185 Show data context 226 Show data context 252 Show data context 1,058 Show data context 1,922 Show data context 1,624 Show data context 1,361 Show data context 713 Show data context 270 Show data context
Building 0 Show data context 0 Show data context 2 Show data context 5 Show data context 10 Show data context 5 Show data context 11 Show data context 11 Show data context 46 Show data context 102 Show data context 61 Show data context 49 Show data context 33 Show data context 15 Show data context
Wood, Furniture 0 Show data context 0 Show data context 19 Show data context 49 Show data context 86 Show data context 103 Show data context 92 Show data context 102 Show data context 531 Show data context 1,128 Show data context 1,126 Show data context 1,000 Show data context 570 Show data context 206 Show data context
Brick, Cement 0 Show data context 0 Show data context 23 Show data context 40 Show data context 45 Show data context 52 Show data context 39 Show data context 40 Show data context 198 Show data context 410 Show data context 331 Show data context 250 Show data context 124 Show data context 57 Show data context
Chemicals 0 Show data context 0 Show data context 1 Show data context 6 Show data context 8 Show data context 4 Show data context 3 Show data context 3 Show data context 10 Show data context 37 Show data context 25 Show data context 26 Show data context 12 Show data context 7 Show data context
Skins, Leather 0 Show data context 0 Show data context 5 Show data context 7 Show data context 3 Show data context 9 Show data context 8 Show data context 14 Show data context 51 Show data context 107 Show data context 78 Show data context 69 Show data context 39 Show data context 17 Show data context
Paper, Prints 0 Show data context 0 Show data context 1 Show data context 3 Show data context 6 Show data context 8 Show data context 3 Show data context 7 Show data context 12 Show data context 33 Show data context 28 Show data context 29 Show data context 13 Show data context 8 Show data context
Textile Fabrics 0 Show data context 0 Show data context 23 Show data context 38 Show data context 58 Show data context 53 Show data context 43 Show data context 33 Show data context 174 Show data context 291 Show data context 215 Show data context 152 Show data context 74 Show data context 30 Show data context
Dress 0 Show data context 1 Show data context 4 Show data context 11 Show data context 18 Show data context 21 Show data context 27 Show data context 30 Show data context 131 Show data context 165 Show data context 101 Show data context 56 Show data context 32 Show data context 10 Show data context
Food, Drink 2 Show data context 4 Show data context 33 Show data context 67 Show data context 57 Show data context 65 Show data context 49 Show data context 53 Show data context 259 Show data context 491 Show data context 380 Show data context 253 Show data context 121 Show data context 73 Show data context
Gas, Water 0 Show data context 4 Show data context 88 Show data context 139 Show data context 178 Show data context 229 Show data context 207 Show data context 190 Show data context 829 Show data context 1,365 Show data context 1,129 Show data context 737 Show data context 350 Show data context 142 Show data context
Other & Undefined 0 Show data context 0 Show data context 2 Show data context 2 Show data context 3 Show data context 11 Show data context 10 Show data context 6 Show data context 50 Show data context 153 Show data context 148 Show data context 137 Show data context 49 Show data context 22 Show data context
Unoccupied 9 Show data context 27 Show data context 49 Show data context 61 Show data context 76 Show data context 127 Show data context 111 Show data context 117 Show data context 513 Show data context 825 Show data context 717 Show data context 565 Show data context 354 Show data context 162 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 1 Show data context 6 Show data context 7 Show data context 10 Show data context 7 Show data context 68 Show data context 91 Show data context 40 Show data context 20 Show data context 6 Show data context 1 Show data context
Defence
Professional Occupations 0 Show data context 0 Show data context 2 Show data context 4 Show data context 19 Show data context 51 Show data context 57 Show data context 50 Show data context 432 Show data context 652 Show data context 316 Show data context 169 Show data context 72 Show data context 30 Show data context
Domestic Services 1 Show data context 6 Show data context 187 Show data context 355 Show data context 457 Show data context 511 Show data context 526 Show data context 545 Show data context 1,997 Show data context 1,398 Show data context 756 Show data context 496 Show data context 305 Show data context 120 Show data context
Commercial Occupations 0 Show data context 0 Show data context 15 Show data context 26 Show data context 54 Show data context 74 Show data context 79 Show data context 55 Show data context 239 Show data context 139 Show data context 29 Show data context 12 Show data context 8 Show data context 1 Show data context
Transport 2 Show data context 0 Show data context 8 Show data context 8 Show data context 10 Show data context 11 Show data context 15 Show data context 14 Show data context 42 Show data context 23 Show data context 7 Show data context 10 Show data context 1 Show data context 5 Show data context
Agriculture 0 Show data context 0 Show data context 0 Show data context 1 Show data context 0 Show data context 1 Show data context 1 Show data context 0 Show data context 5 Show data context 8 Show data context 1 Show data context 0 Show data context 3 Show data context 4 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 1 Show data context 1 Show data context 1 Show data context 8 Show data context 10 Show data context 1 Show data context 6 Show data context 0 Show data context 2 Show data context
Jewelry, Instruments 0 Show data context 0 Show data context 0 Show data context 4 Show data context 1 Show data context 0 Show data context 6 Show data context 3 Show data context 9 Show data context 12 Show data context 7 Show data context 4 Show data context 4 Show data context 1 Show data context
Building 0 Show data context 0 Show data context 1 Show data context 1 Show data context 1 Show data context 3 Show data context 1 Show data context 2 Show data context 12 Show data context 10 Show data context 10 Show data context 3 Show data context 2 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 0 Show data context 0 Show data context 1 Show data context
Brick, Cement 0 Show data context 1 Show data context 2 Show data context 3 Show data context 11 Show data context 15 Show data context 8 Show data context 8 Show data context 28 Show data context 23 Show data context 15 Show data context 15 Show data context 4 Show data context 4 Show data context
Chemicals 0 Show data context 0 Show data context 0 Show data context 0 Show data context 1 Show data context 0 Show data context 3 Show data context 2 Show data context 4 Show data context 7 Show data context 4 Show data context 2 Show data context 3 Show data context 2 Show data context
Skins, Leather 0 Show data context 0 Show data context 2 Show data context 3 Show data context 1 Show data context 3 Show data context 4 Show data context 6 Show data context 16 Show data context 15 Show data context 5 Show data context 4 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 0 Show data context 0 Show data context 0 Show data context 4 Show data context 1 Show data context 0 Show data context 2 Show data context 0 Show data context 0 Show data context
Textile Fabrics 0 Show data context 0 Show data context 13 Show data context 33 Show data context 48 Show data context 35 Show data context 55 Show data context 31 Show data context 146 Show data context 69 Show data context 37 Show data context 21 Show data context 12 Show data context 8 Show data context
Dress 0 Show data context 0 Show data context 15 Show data context 41 Show data context 35 Show data context 47 Show data context 53 Show data context 55 Show data context 222 Show data context 171 Show data context 54 Show data context 29 Show data context 12 Show data context 2 Show data context
Food, Drink 0 Show data context 1 Show data context 139 Show data context 211 Show data context 238 Show data context 260 Show data context 233 Show data context 206 Show data context 839 Show data context 668 Show data context 283 Show data context 218 Show data context 105 Show data context 46 Show data context
Gas, Water 0 Show data context 0 Show data context 61 Show data context 93 Show data context 121 Show data context 127 Show data context 170 Show data context 143 Show data context 679 Show data context 624 Show data context 399 Show data context 340 Show data context 198 Show data context 71 Show data context
Other & 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 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
Unoccupied 0 Show data context 1 Show data context 16 Show data context 29 Show data context 34 Show data context 43 Show data context 29 Show data context 32 Show data context 117 Show data context 128 Show data context 120 Show data context 86 Show data context 52 Show data context 31 Show data context

Click on the triangles for all about a particular number

nCube definition

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nCube definition


Between 1960 and 1970, the Agricultural Census divided sheep into these six categories.


How to reference this page:

GB Historical GIS / University of Portsmouth, Cardiff County Borough (CB) through time | Historical Statistics on Industry | Persons Aged over 10 by Sex, Age & 1911 Occupational Order, A Vision of Britain through Time.

URL: https://www.visionofbritain.org.uk/unit/10158965/cube/OCC_ORD1911_AGESEX

Date accessed: 10th June 2026