Rossendale 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 991 Show data context 513 Show data context 12,061 Show data context 3 Show data context 22 Show data context 762 Show data context 580 Show data context 379 Show data context 184 Show data context 0 Show data context 11 Show data context 13 Show data context 29 Show data context 179 Show data context 80 Show data context 98 Show data context 52 Show data context 1,384 Show data context
1861 2,468 Show data context 1,288 Show data context 23,242 Show data context 42 Show data context 39 Show data context 1,885 Show data context 1,316 Show data context 895 Show data context 567 Show data context 21 Show data context 30 Show data context 155 Show data context 66 Show data context 142 Show data context 88 Show data context 158 Show data context 80 Show data context 2,018 Show data context
1881 1,132 Show data context 2,198 Show data context 28,532 Show data context 55 Show data context 31 Show data context 1,840 Show data context 1,605 Show data context 1,084 Show data context 338 Show data context 18 Show data context 98 Show data context 23 Show data context 102 Show data context 440 Show data context 151 Show data context 300 Show data context 86 Show data context 4,096 Show data context
1911 1,177 Show data context 4,269 Show data context 26,878 Show data context 189 Show data context 85 Show data context 1,926 Show data context 2,956 Show data context 2,505 Show data context 777 Show data context 131 Show data context 385 Show data context 0 Show data context 156 Show data context 1,237 Show data context 557 Show data context 657 Show data context 348 Show data context 3,450 Show data context
1931 862 Show data context 1,362 Show data context 30,027 Show data context 251 Show data context 92 Show data context 979 Show data context 2,967 Show data context 1,240 Show data context 467 Show data context 8 Show data context 322 Show data context 48 Show data context 207 Show data context 0 Show data context 1,082 Show data context 507 Show data context 390 Show data context 1,519 Show data context
1951 726 Show data context 502 Show data context 25,533 Show data context 389 Show data context 89 Show data context 1,943 Show data context 3,273 Show data context 1,227 Show data context 1,079 Show data context 0 Show data context 270 Show data context 0 Show data context 187 Show data context 0 Show data context 1,041 Show data context 582 Show data context 433 Show data context 1,832 Show data context
1971 564 Show data context 363 Show data context 10,544 Show data context 222 Show data context 31 Show data context 1,731 Show data context 2,741 Show data context 942 Show data context 500 Show data context 201 Show data context 347 Show data context 31 Show data context 217 Show data context 64 Show data context 1,209 Show data context 1,064 Show data context 788 Show data context 635 Show data context
2011 107 Show data context 23 Show data context 4,507 Show data context 94 Show data context 252 Show data context 2,878 Show data context 5,337 Show data context 1,369 Show data context 1,270 Show data context 817 Show data context 809 Show data context 471 Show data context 1,618 Show data context 1,455 Show data context 1,948 Show data context 3,564 Show data context 4,889 Show data context 1,400 Show data context
2021 165 Show data context 46 Show data context 3,447 Show data context 123 Show data context 233 Show data context 3,169 Show data context 5,462 Show data context 1,303 Show data context 1,221 Show data context 1,157 Show data context 625 Show data context 491 Show data context 1,670 Show data context 1,527 Show data context 1,938 Show data context 3,664 Show data context 5,527 Show data context 1,343 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))

This website exists to help people doing personal research projects on particular areas within a locality. So long as you are using our data for only a small number of units, you are not making money out of what you are doing, and you are not systematically re-publishing our data, you do not need to request permission from us, but you do need to acknowledge us as your source with the wording:

"This work is based on data provided through www.VisionofBritain.org.uk and uses historical material which is copyright of the Great Britain Historical GIS Project and the University of Portsmouth".

Where the above statement is included in a web page or similar online resource, the reference to "www.VisionofBritain.org.uk" must be a working hyperlink.

nCube definition


Total households, as defined by the relevant census.


How to reference this page:

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

URL: https://www.visionofbritain.org.uk/unit/10197302/cube/INDUSTRY_GEN_2021

Date accessed: 04th June 2026