Theme : Industry

Themes are used in the Vision of Britain system to organise all our statistical data into a small number of broad categories, often identified by icons on the web site.

Identifier:
T_IND
Name:
Industry
Type:
Theme (T)
Text:
Even the first census of 1801 divided the population into those 'chiefly employed in agriculture', those 'chiefly employed in trade, manufacturers or handicraft', and others. From 1841 onwards, information was gathered on each person's occupation and this formed the basis for very detailed tables. The 1841 occupational tables, used here, listed over 3,000 different occupational titles. This was partly because no advance plans had been made for dealing with the enormous range of job titles people gave, but by 1881 the more organised classification used in the county level tables covered 414 categories. When providing an overview of how economic activity has changed since 1841, we are blending together very diverse data, so we use a simple seven-way classification.

In general, early census reports applied just one classification to occupations, which led to three separate issues getting mixed up: social status, what the individual worker did ("occupation"), and what their employer's business was ("industry"). Modern censuses have separate tables for each of these, and from 1931 onwards we mainly present data on industry. NB our 1841 data are geographically crude, which results in some districts in the same county having identical figures.

Theme " Industry " is contained within:


The Database, which everything else is contained within:

Entity ID Entity Name
DB VoB Database


Theme " Industry " contains:


Rates, for mapping and for comparing areas :

Entity ID Entity Name
R_IND_AG Agriculture
R_IND_MAN Manufacturing
R_IND_MIN Mining
R_IND_BUS Finance & Business Services
R_IND_PUBLIC Public Services
R_TRESS_INDEX_SIC2007 Tress Index of economic specialisation
R_OCC_AGRIC_PERSONS Percent in Agriculture
R_OCC_AGRIC_FAM Percent in Agriculture

Datasets or nCubes, containing the actual data :

Entity ID Entity Name
N_IND_ORDER_1931_SEX Industrial Order (1931) by Sex
N_INDUSTRY_GEN Standard Industrial Classification (2007)
N_INDUSTRY_GEN_SEX Standard Industrial Classification (2007), by sex
N_MANUF_GEN Workers in Manufacturing
N_MANUF_GEN_SEX Workers in Manufacturing, by sex
N_INDUSTRY_2001 Standardised Industry Data
N_INDUSTRY_TOT Total employed in all industries
N_INDUSTRY_TOT_SEX Total employed in all industries by sex
N_IND_SECTOR_GEN Simplified Industrial Structure
N_SIC1968_SEX Standardised Industrial Classification (1968) by Sex
N_IND_ORDER_1951_SEX Industrial Order (1951) by Sex
N_CAM_SECTOR Working age population by Sector
N_IND_TRESS_INDEX Components of the Tress Index
N_OCC_3WAY_PERSONS All occupied persons, in 3 Categories
N_OCC_3WAY_FAM All occupied persons, in 3 Categories
N_OCC_3WAY_TOT Total persons occupied
N_OCC_PAR1831 Males aged 20 & over, in 9 occupational categories
N_OCC_PAR1831_SIMP Males aged 20 & over, in four industrial categories
N_OCC_IRL1841_SEX Persons aged 15+ by Sex & Irish 1841/51 Occupational Classification
N_OCC_IRL1841_SEX_TOT Occupied persons aged 15 & over, by sex
N_OCC_ORD1861_OVER20 Persons aged 20 & over by Sex & 1861 Occupational Order
N_OCC_ORD1911_SEX Persons of Working Age by Sex & 1911 Occupational Order
N_OCC_ORD1911_AGESEX Persons Aged over 10 by Sex, Age & 1911 Occupational Order
N_OCC_ORD1911_AGESEX_S Persons Aged over 10 by Sex, Age & 1911 Occupational Order
N_OCC_ORD1921 Persons of Working Age by Sex & 1921 Occupational Order
N_OCC_ORD1931 Persons of Working Age by Sex & 1931 Occupational Order
N_OCC_ORD1951 Persons of Working Age by Sex & 1951 Occupational Order
N_IND_BOOTH1841_SEC Occupation data classified by the Booth main sectors plus sex
N_IND_BOOTH1841 Occupation data classified by the Booth system plus sex & age
N_OCC_RAW1841 Unclassified occupations, categorised by sex & age
N_OCC_ORDER1881 Occupation data classified into the 24 1881 'Orders', plus sex
N_OCC_RAW1881 Detailed 1881 occupational statistics, by gender

Variable Groups, bringing together related variables :

Entity ID Entity Name
VG_OCC Occupation
VG_IND Industry

Variables, defining what data was gathered for :

Entity ID Entity Name
V_INDUSTRY_TOT Employed in all Industries
V_IND_TRESS_INDEX Components of the Tress Index of industrial specialisation
V_CAM_SECTOR Cambridge Group Industrial Sector