nCube : Simplified Industrial Structure

nCubes hold all the statistics presented by the Vision of Britain system, and are defined as combinations of variables. For example, the age-sex tables that appear in most census reports are held as two-dimensional nCubes in which one dimension is a variable categorising sex and the other variable defines a set of age groups. nCubes can have many dimensions, such as age by sex by occupation by cause of death, or just one.

Identifier:
N_IND_SECTOR_GEN
Name:
Simplified Industrial Structure
Type:
nCube (N)
Root unit:
Great Britain ( Show data )
Additive:
Yes
Cube Display:
Yes
Text:
Here we present how the economic foundations of each locality have changed over time, identifying the traditional sectors of Agriculture, Mining and Manufacturing which dominated many areas in the nineteenth century, but also breaking down services into those which, broadly, sell directly to consumers; those which deal mainly with other buinesses, including financial services; and public services, including education and health.

nCube " Simplified Industrial Structure " is contained within:


Themes, which organise the database into broad topics:

Entity ID Entity Name
T_IND Industry

Universes, definining what the values in datasets add up to:

Entity ID Entity Name
U_WORKERS_REP All Workers reporting an occupation



nCube " Simplified Industrial Structure " contains:


Variables, defining what data was gathered for :

Entity ID Entity Name
V_IND_SECTOR_GEN Industry Sector



Simplified Industrial Structure: Data map listing


Each of our datasets, or nCubes, combines one or more variables (Var) each of which consists of a set of categories. The data map lists all the possible combinations of categories. The cell references are the identifiers held in our main table of statistics, recording what each number measures.

Cell Reference Var Category Value
IND_SECTOR_GEN:ag 1 Agriculture
IND_SECTOR_GEN:mining 1 Mining
IND_SECTOR_GEN:manuf 1 Manufacturing
IND_SECTOR_GEN:util 1 Util+Const+Transp
IND_SECTOR_GEN:consumer 1 Consumer Services
IND_SECTOR_GEN:bus 1 Business Services
IND_SECTOR_GEN:public 1 Public Services