Ceredigion District : Standard Industrial Classification (2007)

Standard Industrial Classification (2007)

Data cube chart.

Year A: Agriculture, forestry & fishing B: Mining & quarrying C: Manufacturing D: Electricity, gas, steam etc E: Water, sewerage & waste mgt F: Construction G: Wholesale & retail trade H: Transport & storage I: Accommodation & catering J: Information & communication K: Financial & insurance L: Real estate activities. M: Professional, scientific & technical N: Administrative & support O: Public administration & defence P: Education Q: Human health & social work R, S, T, U: Other services
1841 8,968 Show data context 792 Show data context 3,371 Show data context 0 Show data context 3 Show data context 1,262 Show data context 509 Show data context 516 Show data context 197 Show data context 0 Show data context 2 Show data context 27 Show data context 28 Show data context 140 Show data context 85 Show data context 94 Show data context 63 Show data context 5,993 Show data context
1861 12,390 Show data context 1,784 Show data context 4,166 Show data context 2 Show data context 12 Show data context 1,245 Show data context 804 Show data context 727 Show data context 374 Show data context 13 Show data context 1 Show data context 168 Show data context 58 Show data context 76 Show data context 139 Show data context 156 Show data context 57 Show data context 2,868 Show data context
1881 7,748 Show data context 1,730 Show data context 3,481 Show data context 3 Show data context 2 Show data context 1,217 Show data context 895 Show data context 583 Show data context 332 Show data context 17 Show data context 39 Show data context 19 Show data context 113 Show data context 80 Show data context 241 Show data context 300 Show data context 64 Show data context 5,389 Show data context
1911 11,067 Show data context 736 Show data context 3,864 Show data context 30 Show data context 4 Show data context 1,611 Show data context 2,115 Show data context 1,008 Show data context 1,329 Show data context 47 Show data context 167 Show data context 0 Show data context 152 Show data context 101 Show data context 544 Show data context 699 Show data context 167 Show data context 5,489 Show data context
1931 7,842 Show data context 132 Show data context 1,896 Show data context 69 Show data context 6 Show data context 866 Show data context 2,157 Show data context 1,257 Show data context 1,032 Show data context 1 Show data context 236 Show data context 35 Show data context 192 Show data context 0 Show data context 1,071 Show data context 905 Show data context 271 Show data context 2,970 Show data context
1951 7,518 Show data context 68 Show data context 1,391 Show data context 279 Show data context 10 Show data context 1,352 Show data context 2,477 Show data context 1,307 Show data context 1,060 Show data context 0 Show data context 254 Show data context 0 Show data context 241 Show data context 0 Show data context 1,544 Show data context 962 Show data context 445 Show data context 1,299 Show data context
1971 4,364 Show data context 81 Show data context 1,042 Show data context 222 Show data context 118 Show data context 1,829 Show data context 1,957 Show data context 735 Show data context 567 Show data context 87 Show data context 280 Show data context 38 Show data context 811 Show data context 10 Show data context 1,587 Show data context 1,581 Show data context 572 Show data context 494 Show data context
2011 2,316 Show data context 56 Show data context 1,695 Show data context 135 Show data context 229 Show data context 2,761 Show data context 4,795 Show data context 996 Show data context 2,690 Show data context 550 Show data context 379 Show data context 370 Show data context 1,440 Show data context 968 Show data context 1,831 Show data context 4,998 Show data context 4,315 Show data context 1,922 Show data context
2021 2,314 Show data context 33 Show data context 1,420 Show data context 152 Show data context 229 Show data context 2,570 Show data context 4,425 Show data context 835 Show data context 2,158 Show data context 626 Show data context 321 Show data context 366 Show data context 1,298 Show data context 1,176 Show data context 2,243 Show data context 3,898 Show data context 4,430 Show data context 1,617 Show data context
Date Source
1841 1841 Census of Great Britain, Occupations, Table [1] , 'Occupation Abstract'
1861 1861 Census of England and Wales, Ages, Table 17 , 'Occupations of Males aged 20 Years and upwards in Districts'
1881 Great Britain Historical GIS Project Computed from 1881 microdata
1911 1911 Census of England and Wales, Occupations Vol 1, Table 15 A, 'Grouped occupations of Males and Females aged 10 years and upwards, in Administrative Counties, County Boroughs, Metropolitan Boroughs, Urban Districts of which the population exceeded 5,000 persons, aggregates of other Urban Districts, and aggregates of Rural Districts; also proportion per 1,000 of unmarried, married, widowed, and of married and widowed women engaged in occupations, and proportion of female domestic servants to separate occupiers or families, 1911 - Males'
1931 1931 Census of England and Wales, Industry, Table 3 , 'Industries (condensed list) of Males and Females (exclusive of persons out of work)'
1951 1951 Census of England and Wales, Industry, Table 3 , 'Industries (Orders and Selected Units) and Status Aggregates. Occupied Males and Females aged 15 and over', for 'Urban Areas with population of less than 50,000, RD, NT'
1971 1971 Census of England and Wales, Economic activity County Leaflets, Table 3 , 'Industry and status by area of workplace and sex', for 'County, county boroughs, urban areas with populations of 50,000 or more, conurbation centres'
1991 Census of Population
2011 Office for National Statistics, NOMIS - Official Census and Labour Market Statistics (Table KS605UK - Industry)
2021 Office for National Statistics, ONS "Create a Custom Dataset" ("Industry (current)" (19 way))

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nCube definition


The full National Statistics Socio-cconomic Classification includes classes for persons of working age who were outside the workforce, i.e. those who have never worked, the long-term unemployed and full-time students, who are included here as a separate sub-total and should be excluded in the calculation of rates.


How to reference this page:

GB Historical GIS / University of Portsmouth, Ceredigion District through time | Historical Statistics on Industry | Standard Industrial Classification (2007), A Vision of Britain through Time.

URL: https://www.visionofbritain.org.uk/unit/10099213/cube/INDUSTRY_GEN_2021

Date accessed: 05th June 2026