Ribble Valley 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 5,112 Show data context 1,674 Show data context 20,124 Show data context 6 Show data context 25 Show data context 1,636 Show data context 895 Show data context 677 Show data context 334 Show data context 0 Show data context 13 Show data context 22 Show data context 70 Show data context 427 Show data context 208 Show data context 190 Show data context 82 Show data context 3,855 Show data context
1861 5,067 Show data context 647 Show data context 17,080 Show data context 32 Show data context 32 Show data context 1,325 Show data context 1,266 Show data context 377 Show data context 601 Show data context 16 Show data context 25 Show data context 194 Show data context 86 Show data context 92 Show data context 218 Show data context 188 Show data context 68 Show data context 1,834 Show data context
1881 2,626 Show data context 334 Show data context 7,672 Show data context 13 Show data context 35 Show data context 863 Show data context 493 Show data context 319 Show data context 157 Show data context 4 Show data context 23 Show data context 14 Show data context 65 Show data context 119 Show data context 83 Show data context 198 Show data context 52 Show data context 1,995 Show data context
1911 2,675 Show data context 1,949 Show data context 8,465 Show data context 59 Show data context 28 Show data context 846 Show data context 1,052 Show data context 980 Show data context 290 Show data context 39 Show data context 130 Show data context 0 Show data context 65 Show data context 384 Show data context 244 Show data context 285 Show data context 203 Show data context 1,863 Show data context
1931 2,899 Show data context 322 Show data context 7,345 Show data context 88 Show data context 409 Show data context 551 Show data context 1,637 Show data context 715 Show data context 472 Show data context 4 Show data context 183 Show data context 28 Show data context 192 Show data context 0 Show data context 838 Show data context 518 Show data context 397 Show data context 1,573 Show data context
1951 2,793 Show data context 537 Show data context 7,589 Show data context 171 Show data context 132 Show data context 1,217 Show data context 1,624 Show data context 586 Show data context 742 Show data context 0 Show data context 129 Show data context 0 Show data context 94 Show data context 0 Show data context 644 Show data context 543 Show data context 1,147 Show data context 932 Show data context
1971 457 Show data context 538 Show data context 7,711 Show data context 169 Show data context 24 Show data context 1,338 Show data context 1,952 Show data context 713 Show data context 360 Show data context 149 Show data context 243 Show data context 23 Show data context 152 Show data context 44 Show data context 887 Show data context 742 Show data context 531 Show data context 451 Show data context
2011 835 Show data context 37 Show data context 3,760 Show data context 78 Show data context 190 Show data context 2,259 Show data context 4,328 Show data context 745 Show data context 1,781 Show data context 642 Show data context 682 Show data context 405 Show data context 1,754 Show data context 902 Show data context 1,579 Show data context 3,559 Show data context 3,899 Show data context 1,278 Show data context
2021 859 Show data context 41 Show data context 3,281 Show data context 120 Show data context 189 Show data context 2,736 Show data context 4,468 Show data context 801 Show data context 1,431 Show data context 897 Show data context 605 Show data context 514 Show data context 2,072 Show data context 1,157 Show data context 1,807 Show data context 3,508 Show data context 4,495 Show data context 1,355 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 1831 census provided information at parish-level on the number of males aged over 20 in each of nine occupational categories. Here we group those nine into four to identify the main sectors: "Agriculture" combines large- and small-scale farmers with agricultural labourers. "Manufacturing" focuses on new factory-based industries. "Retail and handicrafts" covers those in small businesses who sold products they made themselves. "Other" covers "capitalists" and professionals, labourers outside agriculture, servants ...

and "others".


How to reference this page:

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

URL: https://www.visionofbritain.org.uk/unit/10057097/cube/INDUSTRY_GEN_2021

Date accessed: 05th June 2026