Broadland 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 5,418 Show data context 12 Show data context 7,435 Show data context 4 Show data context 14 Show data context 1,211 Show data context 1,136 Show data context 520 Show data context 321 Show data context 1 Show data context 16 Show data context 33 Show data context 128 Show data context 595 Show data context 246 Show data context 236 Show data context 176 Show data context 3,946 Show data context
1861 6,558 Show data context 18 Show data context 3,385 Show data context 4 Show data context 9 Show data context 735 Show data context 670 Show data context 272 Show data context 328 Show data context 9 Show data context 10 Show data context 145 Show data context 74 Show data context 80 Show data context 131 Show data context 196 Show data context 111 Show data context 2,104 Show data context
1881 4,655 Show data context 19 Show data context 2,116 Show data context 16 Show data context 1 Show data context 862 Show data context 489 Show data context 360 Show data context 126 Show data context 6 Show data context 23 Show data context 12 Show data context 62 Show data context 81 Show data context 137 Show data context 231 Show data context 122 Show data context 2,683 Show data context
1911 6,714 Show data context 51 Show data context 3,348 Show data context 35 Show data context 8 Show data context 1,054 Show data context 1,250 Show data context 891 Show data context 370 Show data context 35 Show data context 105 Show data context 0 Show data context 58 Show data context 228 Show data context 370 Show data context 361 Show data context 205 Show data context 3,149 Show data context
1931 4,657 Show data context 61 Show data context 4,122 Show data context 147 Show data context 25 Show data context 997 Show data context 2,193 Show data context 1,041 Show data context 541 Show data context 4 Show data context 227 Show data context 70 Show data context 120 Show data context 2 Show data context 1,081 Show data context 572 Show data context 328 Show data context 2,933 Show data context
1951 4,937 Show data context 35 Show data context 4,921 Show data context 183 Show data context 23 Show data context 2,500 Show data context 2,634 Show data context 1,062 Show data context 685 Show data context 0 Show data context 334 Show data context 0 Show data context 156 Show data context 0 Show data context 2,323 Show data context 582 Show data context 895 Show data context 1,423 Show data context
1971 4,099 Show data context 85 Show data context 7,031 Show data context 265 Show data context 39 Show data context 3,185 Show data context 4,444 Show data context 1,321 Show data context 659 Show data context 363 Show data context 637 Show data context 87 Show data context 370 Show data context 82 Show data context 2,207 Show data context 1,446 Show data context 820 Show data context 1,129 Show data context
2011 881 Show data context 175 Show data context 5,416 Show data context 290 Show data context 408 Show data context 5,945 Show data context 10,830 Show data context 2,435 Show data context 2,977 Show data context 1,571 Show data context 3,943 Show data context 876 Show data context 3,210 Show data context 2,512 Show data context 3,571 Show data context 5,459 Show data context 8,202 Show data context 2,840 Show data context
2021 903 Show data context 263 Show data context 4,263 Show data context 335 Show data context 414 Show data context 6,742 Show data context 9,370 Show data context 2,515 Show data context 2,643 Show data context 1,843 Show data context 3,673 Show data context 1,197 Show data context 3,512 Show data context 2,892 Show data context 3,572 Show data context 5,805 Show data context 9,798 Show data context 2,907 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, Broadland District through time | Historical Statistics on Industry | Standard Industrial Classification (2007), A Vision of Britain through Time.

URL: https://www.visionofbritain.org.uk/unit/10142775/cube/INDUSTRY_GEN_2021

Date accessed: 05th June 2026