Rutland Administrative County (pre-1974) : Percentage Unemployed by Category of the Insured

Percentage Unemployed by Category of the Insured

Data cube chart.

Year Men Women Juveniles Total for all insured
14 Jan 1929 15 Show data context 25 Show data context 9 Show data context 16 Show data context
15 Apr 1929 3 Show data context 4 Show data context 0 Show data context 3 Show data context
15 Jul 1929 2 Show data context 6 Show data context 1 Show data context 2 Show data context
14 Oct 1929 7 Show data context 28 Show data context 4 Show data context 9 Show data context
13 Jan 1930 10 Show data context 32 Show data context 5 Show data context 13 Show data context
14 Apr 1930 5 Show data context 15 Show data context 5 Show data context 7 Show data context
14 Jul 1930 9 Show data context 6 Show data context 0 Show data context 8 Show data context
13 Oct 1930 16 Show data context 21 Show data context 5 Show data context 16 Show data context
12 Jan 1931 39 Show data context 30 Show data context 6 Show data context 35 Show data context
13 Apr 1931 26 Show data context 19 Show data context 4 Show data context 23 Show data context
13 Jul 1931 20 Show data context 13 Show data context 0 Show data context 17 Show data context
12 Oct 1931 28 Show data context 25 Show data context 3 Show data context 26 Show data context
25 Jan 1932 33 Show data context 14 Show data context 3 Show data context 29 Show data context
25 Apr 1932 37 Show data context 38 Show data context 18 Show data context 36 Show data context
25 Jul 1932 24 Show data context 22 Show data context 10 Show data context 23 Show data context
24 Oct 1932 34 Show data context 15 Show data context 23 Show data context 31 Show data context
23 Jan 1933 41 Show data context 25 Show data context 21 Show data context 37 Show data context
24 Apr 1933 24 Show data context 26 Show data context 10 Show data context 23 Show data context
24 Jul 1933 17 Show data context 9 Show data context 10 Show data context 16 Show data context
23 Oct 1933 18 Show data context 14 Show data context 13 Show data context 17 Show data context
22 Jan 1934 26 Show data context 19 Show data context 7 Show data context 24 Show data context
23 Apr 1934 17 Show data context 20 Show data context 12 Show data context 18 Show data context
23 Jul 1934 15 Show data context 11 Show data context 5 Show data context 14 Show data context
22 Oct 1934 10 Show data context 17 Show data context 13 Show data context 11 Show data context
28 Jan 1935 20 Show data context 13 Show data context 14 Show data context 19 Show data context
15 Apr 1935 20 Show data context 15 Show data context 10 Show data context 19 Show data context
22 Jul 1935 10 Show data context 13 Show data context 9 Show data context 11 Show data context
21 Oct 1935 12 Show data context 10 Show data context 4 Show data context 12 Show data context
20 Jan 1936 24 Show data context 21 Show data context 8 Show data context 23 Show data context
27 Apr 1936 16 Show data context 17 Show data context 15 Show data context 16 Show data context
20 Jul 1936 9 Show data context 10 Show data context 2 Show data context 9 Show data context
26 Oct 1936 8 Show data context 13 Show data context 3 Show data context 9 Show data context
25 Jan 1937 10 Show data context 12 Show data context 10 Show data context
19 Apr 1937 5 Show data context 8 Show data context 6 Show data context
26 Jul 1937 3 Show data context 10 Show data context 4 Show data context
18 Oct 1937 5 Show data context 9 Show data context 5 Show data context
17 Jan 1938 6 Show data context 5 Show data context 6 Show data context
04 Apr 1938 5 Show data context 4 Show data context 5 Show data context
18 Jul 1938 9 Show data context 9 Show data context 9 Show data context
17 Oct 1938 5 Show data context 9 Show data context 5 Show data context
16 Jan 1939 9 Show data context 8 Show data context 9 Show data context
17 Apr 1939 4 Show data context 6 Show data context 4 Show data context
10 Jul 1939 2 Show data context 6 Show data context 2 Show data context
Date Source
1929 - 1939 Ministry of Labour, Local Unemployment Index (Ministry of Labour) ,

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nCube definition


The election result data we hold includes over three hundred party labels, so we have simplified them to these seven simple categories. Of course, most candidates in most elections, and almost every candidate who won, was standing for one of the main parties, but an enormous range of labels have been used by one or two candidates. These groupings have been defined based almost entirely on the party labels, rather than detailed research into party policies, but including words like 'Labour' or 'Conservative' in ...


your party label says a lot about where you stand, and even more about the people voting for you. 'Left' means broadly speaking candidates to the left of the Liberal or Labour parties, 'Right' candidates to the right of the Conservatives. 'Nationalist' means any kind of nationalist, even including Isle of Wight nationalists.


How to reference this page:

GB Historical GIS / University of Portsmouth, Rutland Administrative County (pre-1974) through time | Historical Statistics on Work & Poverty | Percentage Unemployed by Category of the Insured, A Vision of Britain through Time.

URL: https://www.visionofbritain.org.uk/unit/10134833/cube/LUI_UNEM_PERCENT

Date accessed: 10th April 2026