nCube : Percentage Unemployed by Category of the Insured

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_LUI_UNEM_PERCENT
Name:
Percentage Unemployed by Category of the Insured
Type:
nCube (N)
Root unit:
Great Britain ( Show data )
Additive:
No
Cube Display:
Yes
Cube Download:
Yes
Text:
The Ministry of Labour's inter-war Local Unemployment Index mainly reported rates of unemployment, as percentages, and these are presented here. The reports do list the total number of persons insured, enabling the actual number of the unemployed to be calculated, but they do not break down the number of insured people by sex and age, so these rates are the only information we have. Note that between 1927 and 1936 the LUI was known to be imprecise because the count of the unemployed included (a) workers insured under the Agricultural Scheme, (b) workers aged between 14 and 16 and (c) workers aged 65 and over, while the count of insured workers used as a divisor in calculating the unemployment rate did not. In January 1937 a 'New Series' of the LUI was begun in which the number recorded as unemployed excluded the above categories. All reports included figures for change in the total percentage unemployed over the preceding twelve months, and those given in the 1937 reports are based on an adjusted figure for the previous year; it is therefore possible for 1936 to compare the rates originally published with corrected rates for the same places and dates. The figures held here are the unadjusted rates.

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 4

April, 1927 4

July, 1927 4

October, 1927 4

January, 1928 16

April, 1928 16

July, 1928 16

October, 1928 16

January, 1929 16

April, 1929 16

July, 1929 16

October, 1929 16

January, 1930 16

April, 1930 16

July, 1930 16

October, 1930 16

January, 1931 16

April, 1931 16

July, 1931 16

October, 1931 15

January, 1932 16

April, 1932 16

July, 1932 16

October, 1932 16

January, 1933 16

April, 1933 16

July, 1933 16

October, 1933 16

January, 1934 16

April, 1934 16

July, 1934 16

October, 1934 16

January, 1935 16

April, 1935 16

July, 1935 16

October, 1935 16

January, 1936 16

April, 1936 16

July, 1936 16

October, 1936 16

January, 1937 12

April, 1937 12

July, 1937 12

October, 1937 12

January, 1938 12

April, 1938 12

July, 1938 12

October, 1938 12

January, 1939 12

April, 1939 12

July, 1939 12

January, 1927 153

April, 1927 153

July, 1927 153

October, 1927 153

January, 1928 167

April, 1928 171

July, 1928 171

October, 1928 171

January, 1929 175

April, 1929 175

July, 1929 175

October, 1929 175

January, 1930 175

April, 1930 175

July, 1930 175

October, 1930 175

January, 1931 207

April, 1931 207

July, 1931 207

October, 1931 207

January, 1932 207

April, 1932 207

July, 1932 207

October, 1932 207

January, 1933 207

April, 1933 207

July, 1933 207

October, 1933 207

January, 1934 207

April, 1934 206

July, 1934 207

October, 1934 207

January, 1935 207

April, 1935 207

July, 1935 207

October, 1935 207

January, 1936 207

April, 1936 207

July, 1936 207

October, 1936 207

January, 1937 158

April, 1937 158

July, 1937 158

October, 1937 158

January, 1938 158

April, 1938 158

July, 1938 158

October, 1938 158

January, 1939 162

April, 1939 162

July, 1939 162

January, 1927 44

April, 1927 44

July, 1927 44

October, 1927 44

January, 1928 44

April, 1928 44

July, 1928 44

October, 1928 44

January, 1929 44

April, 1929 44

July, 1929 44

October, 1929 44

January, 1930 44

April, 1930 44

July, 1930 44

October, 1930 44

January, 1931 117

April, 1931 117

July, 1931 117

October, 1931 117

January, 1932 117

April, 1932 117

July, 1932 117

October, 1932 117

January, 1933 117

April, 1933 117

July, 1933 117

October, 1933 117

January, 1934 117

April, 1934 117

July, 1934 117

October, 1934 117

January, 1935 117

April, 1935 117

July, 1935 117

October, 1935 117

January, 1936 117

April, 1936 117

July, 1936 117

October, 1936 117

January, 1937 90

April, 1937 90

July, 1937 90

October, 1937 90

January, 1938 90

April, 1938 90

July, 1938 90

October, 1938 90

January, 1939 89

April, 1939 90

July, 1939 90

January, 1927 2540

April, 1927 2540

July, 1927 2540

October, 1927 2544

January, 1928 2576

April, 1928 2584

July, 1928 2580

October, 1928 2584

January, 1929 2604

April, 1929 2596

July, 1929 2640

October, 1929 2632

January, 1930 2668

April, 1930 2668

July, 1930 2668

October, 1930 2668

January, 1931 2800

April, 1931 2800

July, 1931 2792

October, 1931 2792

January, 1932 2856

April, 1932 2856

July, 1932 2856

October, 1932 2856

January, 1933 2940

April, 1933 2940

July, 1933 2940

October, 1933 2940

January, 1934 2992

April, 1934 2980

July, 1934 2988

October, 1934 2988

January, 1935 2996

April, 1935 2996

July, 1935 2996

October, 1935 2996

January, 1936 3016

April, 1936 3016

July, 1936 3016

October, 1936 3016

January, 1937 2287

April, 1937 2285

July, 1937 2287

October, 1937 2287

January, 1938 2287

April, 1938 2287

July, 1938 2287

October, 1938 2287

January, 1939 2248

April, 1939 2248

July, 1939 2248

nCube " Percentage Unemployed by Category of the Insured " 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 " Percentage Unemployed by Category of the Insured " contains:


Variables, defining what data was gathered for :

Entity ID Entity Name
V_NAT_INS_AGESEX Categories of Persons within National Insurance



Percentage Unemployed by Category of the Insured: 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
LUI_UNEM_PERCENT:men 1 Men
LUI_UNEM_PERCENT:women 1 Women
LUI_UNEM_PERCENT:juveniles 1 Juveniles
LUI_UNEM_PERCENT:total 1 Total for all insured