Newcastle under Lyme 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 2,172 Show data context 1,452 Show data context 7,810 Show data context 3 Show data context 14 Show data context 607 Show data context 648 Show data context 245 Show data context 169 Show data context 2 Show data context 11 Show data context 10 Show data context 46 Show data context 224 Show data context 64 Show data context 114 Show data context 53 Show data context 1,954 Show data context
1861 2,763 Show data context 2,969 Show data context 9,704 Show data context 17 Show data context 30 Show data context 1,068 Show data context 1,182 Show data context 650 Show data context 487 Show data context 14 Show data context 22 Show data context 130 Show data context 93 Show data context 112 Show data context 133 Show data context 198 Show data context 74 Show data context 1,702 Show data context
1881 1,530 Show data context 6,355 Show data context 11,747 Show data context 44 Show data context 18 Show data context 1,625 Show data context 1,392 Show data context 904 Show data context 349 Show data context 24 Show data context 95 Show data context 26 Show data context 160 Show data context 430 Show data context 174 Show data context 459 Show data context 90 Show data context 3,262 Show data context
1911 1,404 Show data context 5,164 Show data context 14,851 Show data context 134 Show data context 34 Show data context 1,501 Show data context 2,101 Show data context 1,969 Show data context 589 Show data context 58 Show data context 203 Show data context 0 Show data context 102 Show data context 748 Show data context 443 Show data context 507 Show data context 201 Show data context 2,891 Show data context
1931 1,569 Show data context 6,202 Show data context 11,860 Show data context 185 Show data context 45 Show data context 1,488 Show data context 4,015 Show data context 1,792 Show data context 548 Show data context 7 Show data context 435 Show data context 88 Show data context 231 Show data context 1 Show data context 809 Show data context 661 Show data context 489 Show data context 2,975 Show data context
1951 1,526 Show data context 5,366 Show data context 9,038 Show data context 422 Show data context 18 Show data context 2,248 Show data context 4,293 Show data context 1,102 Show data context 1,149 Show data context 0 Show data context 319 Show data context 0 Show data context 271 Show data context 0 Show data context 1,293 Show data context 1,085 Show data context 528 Show data context 1,508 Show data context
1971 1,052 Show data context 3,479 Show data context 13,972 Show data context 701 Show data context 47 Show data context 3,008 Show data context 5,392 Show data context 955 Show data context 982 Show data context 225 Show data context 470 Show data context 42 Show data context 527 Show data context 134 Show data context 2,120 Show data context 2,568 Show data context 1,024 Show data context 1,214 Show data context
2011 364 Show data context 84 Show data context 7,162 Show data context 304 Show data context 400 Show data context 4,649 Show data context 10,867 Show data context 2,808 Show data context 2,762 Show data context 1,590 Show data context 1,499 Show data context 700 Show data context 2,458 Show data context 2,380 Show data context 2,486 Show data context 6,191 Show data context 8,028 Show data context 2,634 Show data context
2021 456 Show data context 57 Show data context 5,362 Show data context 249 Show data context 463 Show data context 5,065 Show data context 10,423 Show data context 2,756 Show data context 2,208 Show data context 1,785 Show data context 1,404 Show data context 657 Show data context 2,391 Show data context 2,429 Show data context 2,478 Show data context 5,856 Show data context 9,806 Show data context 2,834 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, Newcastle under Lyme District through time | Historical Statistics on Industry | Standard Industrial Classification (2007), A Vision of Britain through Time.

URL: https://www.visionofbritain.org.uk/unit/10076810/cube/INDUSTRY_GEN_2021

Date accessed: 04th June 2026