Braintree 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 7,699 Show data context 6 Show data context 2,535 Show data context 1 Show data context 1 Show data context 811 Show data context 631 Show data context 462 Show data context 171 Show data context 0 Show data context 9 Show data context 11 Show data context 58 Show data context 386 Show data context 177 Show data context 174 Show data context 100 Show data context 3,127 Show data context
1861 9,281 Show data context 6 Show data context 8,728 Show data context 11 Show data context 7 Show data context 1,173 Show data context 1,062 Show data context 360 Show data context 473 Show data context 9 Show data context 7 Show data context 187 Show data context 72 Show data context 71 Show data context 126 Show data context 290 Show data context 124 Show data context 2,563 Show data context
1881 6,821 Show data context 6 Show data context 6,829 Show data context 22 Show data context 1 Show data context 1,062 Show data context 786 Show data context 442 Show data context 246 Show data context 11 Show data context 22 Show data context 12 Show data context 76 Show data context 108 Show data context 197 Show data context 382 Show data context 93 Show data context 3,048 Show data context
1911 5,778 Show data context 50 Show data context 3,774 Show data context 125 Show data context 26 Show data context 1,377 Show data context 1,592 Show data context 2,036 Show data context 519 Show data context 64 Show data context 192 Show data context 0 Show data context 123 Show data context 567 Show data context 1,108 Show data context 432 Show data context 288 Show data context 4,088 Show data context
1931 5,082 Show data context 42 Show data context 7,838 Show data context 182 Show data context 54 Show data context 1,371 Show data context 2,457 Show data context 846 Show data context 614 Show data context 21 Show data context 214 Show data context 33 Show data context 204 Show data context 1 Show data context 665 Show data context 455 Show data context 393 Show data context 3,043 Show data context
1951 5,332 Show data context 58 Show data context 9,094 Show data context 311 Show data context 11 Show data context 1,864 Show data context 3,112 Show data context 1,122 Show data context 845 Show data context 0 Show data context 201 Show data context 0 Show data context 240 Show data context 0 Show data context 1,291 Show data context 561 Show data context 929 Show data context 1,713 Show data context
1971 2,095 Show data context 83 Show data context 6,023 Show data context 280 Show data context 78 Show data context 2,714 Show data context 3,336 Show data context 1,401 Show data context 522 Show data context 335 Show data context 273 Show data context 104 Show data context 535 Show data context 84 Show data context 1,276 Show data context 980 Show data context 705 Show data context 980 Show data context
2011 755 Show data context 46 Show data context 7,442 Show data context 185 Show data context 600 Show data context 7,828 Show data context 12,125 Show data context 4,422 Show data context 2,896 Show data context 2,268 Show data context 4,263 Show data context 1,102 Show data context 4,625 Show data context 3,457 Show data context 4,181 Show data context 6,581 Show data context 8,076 Show data context 3,348 Show data context
2021 829 Show data context 56 Show data context 5,706 Show data context 265 Show data context 614 Show data context 9,639 Show data context 11,986 Show data context 4,418 Show data context 2,834 Show data context 2,678 Show data context 3,690 Show data context 1,202 Show data context 4,713 Show data context 3,957 Show data context 4,297 Show data context 6,629 Show data context 9,525 Show data context 3,253 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, Braintree District through time | Historical Statistics on Industry | Standard Industrial Classification (2007), A Vision of Britain through Time.

URL: https://www.visionofbritain.org.uk/unit/10204653/cube/INDUSTRY_GEN_2021

Date accessed: 05th June 2026