nCube : All persons insured against unemployment

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_INSURED_UNEM_TOT
Name:
All persons insured against unemployment
Type:
nCube (N)
Root unit:
Great Britain ( Show data )
Additive:
Yes
Cube Display:
Yes
Cube Download:
Yes
Text:
Total number of persons insured against unemployment. The schemes covered by our data vary significantly over time.

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

January, 1927 5

April, 1927 5

July, 1927 5

October, 1927 5

January, 1928 5

April, 1928 5

July, 1928 5

October, 1928 5

January, 1929 5

April, 1929 5

July, 1929 5

October, 1929 5

January, 1930 5

April, 1930 5

July, 1930 5

October, 1930 5

January, 1931 5

April, 1931 5

July, 1931 5

October, 1931 5

January, 1932 5

April, 1932 5

July, 1932 5

October, 1932 5

January, 1933 5

April, 1933 5

July, 1933 5

October, 1933 5

January, 1934 5

April, 1934 5

July, 1934 5

October, 1934 5

January, 1935 5

April, 1935 5

July, 1935 5

October, 1935 5

January, 1936 5

April, 1936 5

July, 1936 5

October, 1936 5

January, 1937 5

April, 1937 5

July, 1937 5

October, 1937 5

January, 1938 5

April, 1938 5

July, 1938 5

October, 1938 5

January, 1939 5

April, 1939 5

July, 1939 5

January, 1927 48

April, 1927 48

July, 1927 48

October, 1927 48

January, 1928 50

April, 1928 51

July, 1928 51

October, 1928 51

January, 1929 52

April, 1929 52

July, 1929 52

October, 1929 52

January, 1930 52

April, 1930 52

July, 1930 52

October, 1930 52

January, 1931 60

April, 1931 60

July, 1931 60

October, 1931 60

January, 1932 60

April, 1932 60

July, 1932 60

October, 1932 60

January, 1933 60

April, 1933 60

July, 1933 60

October, 1933 60

January, 1934 60

April, 1934 59

July, 1934 60

October, 1934 60

January, 1935 60

April, 1935 60

July, 1935 60

October, 1935 60

January, 1936 60

April, 1936 60

July, 1936 60

October, 1936 60

January, 1937 60

April, 1937 60

July, 1937 60

October, 1937 60

January, 1938 60

April, 1938 60

July, 1938 60

October, 1938 60

January, 1939 60

April, 1939 60

July, 1939 60

January, 1927 17

April, 1927 17

July, 1927 17

October, 1927 17

January, 1928 17

April, 1928 17

July, 1928 17

October, 1928 17

January, 1929 17

April, 1929 17

July, 1929 17

October, 1929 17

January, 1930 17

April, 1930 17

July, 1930 17

October, 1930 17

January, 1931 36

April, 1931 36

July, 1931 36

October, 1931 36

January, 1932 36

April, 1932 36

July, 1932 36

October, 1932 36

January, 1933 36

April, 1933 36

July, 1933 36

October, 1933 36

January, 1934 36

April, 1934 36

July, 1934 36

October, 1934 36

January, 1935 36

April, 1935 36

July, 1935 36

October, 1935 36

January, 1936 36

April, 1936 36

July, 1936 36

October, 1936 36

January, 1937 36

April, 1937 36

July, 1937 36

October, 1937 36

January, 1938 36

April, 1938 36

July, 1938 36

October, 1938 36

January, 1939 35

April, 1939 36

July, 1939 36

January, 1927 635

April, 1927 635

July, 1927 635

October, 1927 636

January, 1928 644

April, 1928 646

July, 1928 645

October, 1928 646

January, 1929 651

April, 1929 649

July, 1929 660

October, 1929 658

January, 1930 667

April, 1930 667

July, 1930 667

October, 1930 667

January, 1931 700

April, 1931 700

July, 1931 698

October, 1931 698

January, 1932 714

April, 1932 714

July, 1932 714

October, 1932 714

January, 1933 735

April, 1933 735

July, 1933 735

October, 1933 735

January, 1934 748

April, 1934 745

July, 1934 747

October, 1934 747

January, 1935 749

April, 1935 749

July, 1935 749

October, 1935 749

January, 1936 754

April, 1936 754

July, 1936 754

October, 1936 754

January, 1937 762

April, 1937 761

July, 1937 762

October, 1937 762

January, 1938 762

April, 1938 762

July, 1938 762

October, 1938 762

January, 1939 749

April, 1939 749

July, 1939 749

nCube " All persons insured against unemployment " is contained within:


Themes, which organise the database into broad topics:

Entity ID Entity Name
T_WK Work and Poverty

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

Entity ID Entity Name
U_INSURED_UNEM All persons covered by unemployment insurance


nCube " All persons insured against unemployment " contains:


Variables, defining what data was gathered for :

Entity ID Entity Name
V_INSURED_UNEM_TOT All persons covered by unemployment insurance


All persons insured against unemployment: 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
INSURED_UNEM_TOT:total 1 Insured against unemployment