Worthing 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 305 Show data context 1 Show data context 90 Show data context 0 Show data context 0 Show data context 37 Show data context 23 Show data context 15 Show data context 6 Show data context 0 Show data context 0 Show data context 1 Show data context 2 Show data context 11 Show data context 11 Show data context 6 Show data context 4 Show data context 132 Show data context
1861 335 Show data context 1 Show data context 232 Show data context 1 Show data context 0 Show data context 86 Show data context 74 Show data context 64 Show data context 51 Show data context 1 Show data context 1 Show data context 26 Show data context 9 Show data context 9 Show data context 47 Show data context 28 Show data context 10 Show data context 279 Show data context
1881 553 Show data context 2 Show data context 715 Show data context 10 Show data context 0 Show data context 707 Show data context 342 Show data context 240 Show data context 203 Show data context 18 Show data context 15 Show data context 5 Show data context 57 Show data context 53 Show data context 88 Show data context 242 Show data context 48 Show data context 1,711 Show data context
1911 1,087 Show data context 33 Show data context 2,235 Show data context 70 Show data context 14 Show data context 1,183 Show data context 1,652 Show data context 1,021 Show data context 792 Show data context 98 Show data context 99 Show data context 0 Show data context 129 Show data context 269 Show data context 438 Show data context 441 Show data context 445 Show data context 4,775 Show data context
1931 1,371 Show data context 9 Show data context 1,787 Show data context 244 Show data context 29 Show data context 1,857 Show data context 3,515 Show data context 1,025 Show data context 913 Show data context 12 Show data context 323 Show data context 152 Show data context 272 Show data context 13 Show data context 834 Show data context 683 Show data context 613 Show data context 4,923 Show data context
1951 1,044 Show data context 1 Show data context 2,066 Show data context 385 Show data context 36 Show data context 2,001 Show data context 5,297 Show data context 1,520 Show data context 1,928 Show data context 0 Show data context 575 Show data context 0 Show data context 544 Show data context 0 Show data context 1,994 Show data context 667 Show data context 1,025 Show data context 3,154 Show data context
1971 439 Show data context 0 Show data context 4,109 Show data context 988 Show data context 10 Show data context 3,007 Show data context 6,988 Show data context 1,575 Show data context 1,229 Show data context 260 Show data context 2,474 Show data context 413 Show data context 836 Show data context 163 Show data context 3,638 Show data context 1,451 Show data context 1,670 Show data context 1,749 Show data context
2011 165 Show data context 26 Show data context 4,266 Show data context 611 Show data context 741 Show data context 3,699 Show data context 7,972 Show data context 2,100 Show data context 2,238 Show data context 1,840 Show data context 2,831 Show data context 747 Show data context 2,807 Show data context 2,387 Show data context 3,115 Show data context 4,086 Show data context 8,468 Show data context 2,512 Show data context
2021 150 Show data context 18 Show data context 3,467 Show data context 433 Show data context 615 Show data context 4,565 Show data context 7,561 Show data context 2,031 Show data context 2,308 Show data context 2,303 Show data context 2,311 Show data context 874 Show data context 3,076 Show data context 2,706 Show data context 3,182 Show data context 4,721 Show data context 10,443 Show data context 2,803 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


This classification of industry is that used by the 2021 Census, and forms the basic for our standardisation of historical information on industrial structure. The modern data are a classification of workers by their employers' business and count them by their place of work. However, before 1951 they are counted by place of residence, and before 1921 workers have to be classified by their individual occupations.


How to reference this page:

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

URL: https://www.visionofbritain.org.uk/unit/10056524/cube/INDUSTRY_GEN_2021

Date accessed: 04th June 2026