Monday 22 September 2014

Water poverty in England and Wales: an update

Jonathan Bradshaw and Gill Main write:
We published an article on this subject based on an analysis of 2009/10 data from the Family Resources Survey[1].

This note updates that analysis but does not reproduce all the policy discussion in the article because these arguments really have not changed.

Water charges have continued to rise - faster than general inflation (CPI and RPI) and faster than average net equivalent disposable incomes. See Figure 1.

Figure 1: Trends in prices, earnings and water prices. 2005=100.


OFWAT is negotiating with the water companies to achieve a real terms reduction in water prices of 5% 2015-2020. To achieve this would be a huge break in their past achievements. But a real terms reduction in prices does not mean a reduction in water poverty. Since 2010 incomes have been falling behind prices and behind water prices and we don’t know when that pattern is going to end.

Water poverty has been conventionally defined as households spending more than 3% or 5% on water and sewerage. These thresholds are arbitrary and it would be a good idea for the government and the regulators to invest in the kind of exercise that has led to the redefinition of fuel poverty as a result of the Sir John Hills report[2].

Table 1 is the result of analysis of the Family Resources Surveys from 2009/10 to 2011/12 the most recent available. Water poverty rates using the 3% threshold have increased over the whole period. The water poverty gap (the average reduction in water charges needed per week by those in water poverty if they are to be lifted out of water poverty) has fallen slightly.

Table 1: Water poverty rates and gaps 2009/10-2011/12

Water poverty rate >3%
Water poverty rate >5%
Water poverty gap 3% £ per week
Water poverty gap 5% £ per week
2009/10[3]
22.3
9.8
3.48
3.63
2010/11
22.4
9.2
3.18
3.33
2011/12
23.5
10.0
3.43
3.49
Source: Own analysis of the Family Resources Surveys

There is no easy solution to water poverty.

The Water Sure scheme is not being taken up and touches the edge of the problem. The South West subsidy is ill directed. There is also a huge and growing water debt problem.

The water companies don’t know enough about consumers to target relief successfully and it is not a priority for them to attempt this work at the present time.

The best solutions are
1.      Fiercer regulation of prices by OFWAT.
2.      Faster introduction of water meters.
3.      Then tilting tariffs so consumers who wash their cars or fill their ponds/swimming pools with drinking water pay a premium.
4.      But meanwhile, and anyway, the key is really an increase in cash benefits and low wages so that they exceed water price increases.
5.      More research on this subject is also needed - by OFWAT, CCWater and/or the water companies.

No one funded this analysis!

September 2014.




[1] Bradshaw, J. and Huby, M. (2013) Water poverty in England and Wales, Journal of Poverty and Social Justice, 21, 2, 137-148

[2] https://www.gov.uk/government/publications/final-report-of-the-fuel-poverty-review
[3] These numbers are slightly different than given in Bradshaw and Huby for 2009/10 (for reasons that we cannot fathom) but they are a consistent basis for each year.


Note:  This article gives the views of the author, and not the position of the Social Policy Research Unit, nor of the University of York.

Tuesday 3 June 2014

Presentations at the Third Peter Townsend Memorial Conference: Poverty and Social Exclusion in the UK

Jonathan Bradshaw and Gill Main will give presentations at the Third Peter Townsend Memorial Conference: Poverty and Social Exclusion in the UK in London on 19-20 June 2014. Jonathan will speak on 'How many poor and deprived children are there in the UK?' and Gill on 'What do children need?'.

Wednesday 19 March 2014

How many working poor parents might be able to work more?


19 March 2014


Paul Gregg has written an interesting blog on working poverty https://smcpcommission.blog.gov.uk/2014/03/18/working-poverty-whats-going-on/
in which he suggests that the Universal Credit rules might be used to identify the working poor who might be expected to work more. The expectation in UC is that:
·                  One adult in a couple is in full-time work.
·                  Lone parents, or the second adult in a couple:
o    Work full-time if the youngest child is aged 13+.
o    Work part-time if the youngest child is aged 5-12.
o    Are not expected to work if the youngest child is under 5 years old.
It is possible to estimate an approximate size of these groups using secondary analysis of the Households Below Average Income (HBAI) data for 2011/12.

In 2011/12 17.5% of children were in households in poverty (income less than 60% median BHC). Of these 20.0% were with lone parents not in employment and 14.3% were with couples not in employment. So the rest 65.7% were working poor.  Of these, 4.3% had lone parents in full-time employment and 5.3% had couples both in full-time employment who could not be expected to work more. This leaves 90.4% of the working poor with children with a possible potential to work more.

The proportion of poor children with parents with working potential are as follows:
·         With lone parents working part-time whose youngest child is 13+=3.9%
·         With couples one adult working full-time and one part-time whose youngest child is 13+=2.1%
·         With couples one adult working full-time and one not working  whose youngest child is over 5=12.6%
·         With couples both working part-time=16.7%

The self-employed present problems because the HBAI classification is “Couple with children; one or more full time self-employed”. It is possible to identify that 41.4% of these have two adults working full-time. The rest have one adult working part-time or not at all.

·         With couple one adult full-time self-employed and one adult working part-time or not working with youngest child over 5= 6.5% (or 1.8% if youngest child 13+)


That gives a total of 41.8% (or 37.1% if 13+ for the self-employed) of children in working poor households where the adults have some more working potential.

This of course assumes the work is available. There may be other barriers to exploiting their work potential including disability or caring responsibilities. We found that 16.7% of those with work potential had an adult only with a disability, 6.8% had a disabled child only and 3.8% had a disabled adult and a disabled child. If these are deducted then the proportion with work potential would be 30.4% (or 27%).

It would be possible to obtain a more accurate assessment of the working potential using the Family Resources Survey.

The tables below provides a more detailed summary of the data.



Households with children in the sample
%
Children in the UK
%

6364
100
13088001
100
Equivalent income less than 60% median before housing costs
1058
16.6
2293048
17.5


100

100
No employment
429
40.5
785871
34.3
Lone parents unemployed
283
26.7
458563
20.0
Couples unemployed
146
13.8
327308
14.3
Some employment
629
59.5
1507177
65.7


100

100
Lone parents




Working fulltime
39
6.2
6411
4.3
Working part-time
74
11.8
146247
9.7
Of which youngest child 13+

29
4.6
58786
3.9





Couples




Couples both full-time
37
5.9
80937
5.3
Couples full-time and part- time
74
11.8
175293
11.6
Of which youngest child 13+
16
2.5
32033
2.1





Couples one working full-time one not working
152
24.2
428705
28.4
Of which youngest child 5+
78
12.4
191194
12.6





Couples both part-time
100
15.9
252671
16.7





Self employed
153
24.3
359216
23.8
Couples both full-time
66
10.5
148875
9.9
One part-time/not working
87
13.8
210341
14.0
Of which youngest child 5+
43
6.8
97226
6.5
Or 13+
Or 12
Or 1.9
Or 26728
Or 1.8





Total with some work potential

42.2 or 37.3

41.8 or 37.1



Work intensity of household
Total
Not working
Some work potential
Fully working

No disabled members
55.3%
72.8%
81.5%
69.8%
Disabled adult(s) only
29.5%
16.7%
8.7%
18.3%
disabled child(ren) only
6.2%
(6.8%)
7.3%
6.8%
Disabled adults and children
9.1%
(3.8%)
(2.4%)
5.1%
Total
100.0%
100.0%
100.0%
100.0%

Brackets indicate small numbers

Note:  This article gives the views of the author, and not the position of the Social Policy Research Unit, nor of the University of York.