nCube : Total employed in all industries by 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_INDUSTRY_TOT_SEX
Name:
Total employed in all industries by sex
Type:
nCube (N)
Root unit:
Great Britain ( Show data )
Additive:
Yes
Cube Display:
No
Cube Download:
Yes
Text:
Total numbers employed in all industries, broken down by gender.

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 8

1861 8

1881 8

1911 8

1921 6

1931 14

1951 14

1971 10

1991 8

1841 22

1861 22

1881 22

1911 22

1931 22

1951 22

1971 22

1991 22

1921 124

1931 124

1951 124

1971 118

1841 74

1861 74

1881 74

1911 74

1931 74

1951 74

1971 74

1991 74

1971 60

1841 760

1861 760

1881 760

1911 760

1931 760

1951 760

1971 760

1991 760

1921 3654

1931 1944

1951 2940

1971 374

1971 38

nCube " Total employed in all industries by 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 " Total employed in all industries by sex " contains:


Variables, defining what data was gathered for :

Entity ID Entity Name
V_SEX Sex
V_INDUSTRY_TOT Employed in all Industries



Total employed in all industries by 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
INDUSTRY_TOT_SEX:male/total 1 Male
2 Empl. in all industries
INDUSTRY_TOT_SEX:male/unkn 1 Male
2 Unknown
INDUSTRY_TOT_SEX:female/total 1 Female
2 Empl. in all industries
INDUSTRY_TOT_SEX:female/unkn 1 Female
2 Unknown