nCube : Occupation data classified by the Booth main sectors plus sex

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_BOOTH1841_SEC
Name:
Occupation data classified by the Booth main sectors plus sex
Type:
nCube (N)
Root unit:
Great Britain ( Show data )
Additive:
Yes
Cube Display:
Yes
Cube Download:
Yes
Text:
This data matrix presents a highly simplified version of the 1841 occupational data, using the ten main sectors in the Booth-Armstrong industrial classification. Workers are also classified by sex but not by age.

Data available for download:

Data for these unit types and dates are available to UK Federation members for download — select one:

Unit Type Date Data Count

1841 100

1841 1014

1841 622

1841 60

1841 6108

nCube " Occupation data classified by the Booth main sectors plus sex " 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 All Workers



nCube " Occupation data classified by the Booth main sectors plus sex " contains:


Variables, defining what data was gathered for :

Entity ID Entity Name
V_SEX Sex
V_IND_BOOTH_SECTOR Booth-Armstrong Industrial Sectors



Occupation data classified by the Booth main sectors plus sex: 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_BOOTH1841_SEC:male/AG 1 Male
2 Agriculture
IND_BOOTH1841_SEC:male/M 1 Male
2 Mining
IND_BOOTH1841_SEC:male/B 1 Male
2 Building: Management
IND_BOOTH1841_SEC:male/MF 1 Male
2 Manufacturing
IND_BOOTH1841_SEC:male/T 1 Male
2 Transport
IND_BOOTH1841_SEC:male/D 1 Male
2 Dealing
IND_BOOTH1841_SEC:male/IS 1 Male
2 Industrial Service
IND_BOOTH1841_SEC:male/PP 1 Male
2 Public Service and Professional
IND_BOOTH1841_SEC:male/DS 1 Male
2 Domestic Service
IND_BOOTH1841_SEC:male/PO 1 Male
2 Property Owning and Independent
IND_BOOTH1841_SEC:female/AG 1 Female
2 Agriculture
IND_BOOTH1841_SEC:female/M 1 Female
2 Mining
IND_BOOTH1841_SEC:female/B 1 Female
2 Building: Management
IND_BOOTH1841_SEC:female/MF 1 Female
2 Manufacturing
IND_BOOTH1841_SEC:female/T 1 Female
2 Transport
IND_BOOTH1841_SEC:female/D 1 Female
2 Dealing
IND_BOOTH1841_SEC:female/IS 1 Female
2 Industrial Service
IND_BOOTH1841_SEC:female/PP 1 Female
2 Public Service and Professional
IND_BOOTH1841_SEC:female/DS 1 Female
2 Domestic Service
IND_BOOTH1841_SEC:female/PO 1 Female
2 Property Owning and Independent