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Chuka Umunna MP
House of Commons
London
SW1A 0AA
March 2015
Dear Mr Umunna,
As Director General for the Office for National Statistics (ONS), I have been asked to reply to your
Parliamentary Question asking the Secretary of State for Work and Pensions how many people there were
with learning difficulties who wished to work but are unemployed in (a) Streatham constituency, (b) Lambeth
local authority area and (c) the UK in each of the last five years. (228823)
The Office for National Statistics (ONS) compiles estimates of the number of people who were unemployed
following International Labour Market (ILO) definitions from the Annual Population Survey (APS). People
interviewed for the APS may classify themselves as having learning difficulties in response to questions
about health problems. Unfortunately, reliable estimates of the number of unemployed people with learning
difficulties in Streatham parliamentary constituency and the London borough of Lambeth are not available
due to small sample sizes.
Table 1 shows the number of unemployed people in the UK with learning difficulties, according to survey
responses from the APS, for the 12 month period ending December 2014, the latest available period, along
with APS estimates for the 12 month periods ending in December for 2010 to 2013.
As with any sample survey, estimates from the APS are subject to a certain level of uncertainty. A guide to
the quality of the estimates of the levels is included on the table.
National and local area estimates for many labour market statistics, including employment, unemployment
and claimant count are available on the NOMIS website at http://www.nomisweb.co.uk.
Yours sincerely,
Glen Watson
Director General for ONS
Table 1: Number of unemployed people with learning
difficulties
United Kingdom, Thousands
12 months
ending:
December
2010
December
2011
December
2012
December
2013
December
20141
44
52
53
49
42 **
Source: Annual Population
Survey
1. Coefficients of Variation have been calculated as an indication of
the quality of the estimates. See Guide to Quality below.
Guide to Quality:
The Coefficient of Variation (CV) indicates the quality of an estimate,
the smaller the CV value the higher the quality. The true value is
likely to lie within +/- twice the CV - for example, for an estimate of
200 with a CV of 5% we would expect the population total to be
within the range 180-220.
***
Coefficient
of
Variation
(CV)
( %)
0 ≤ CV <
5
5 ≤ CV <
10
10 ≤ CV <
20
****
CV ≥ 20
KEY
*
**
Statistical Robustness
Estimates are considered precise.
Estimates are considered reasonably
precise.
Estimates are considered acceptable.
Estimates should be used with caution
and, in some cases, may be unreliable
for practical purposes.