Xinru Lin used the latest @DWP 's Family Resource Survey (FRS) and Households Below Average Income (HBAI) microdata to explore who struggles to heat their homes and how this has changed over time in England (2011-2018). 1/6
➡️ Households who were unable to keep homes warm fell from 6.6% to 5.8%, 2011-2018.
➡️ Households aged 35-44 and 45-54, fell by 4.4 and 4.6 percentage points. In 2018, households aged 65-74 no longer reported their inability to keep homes warm. 2/6
In 2018, the South West had the highest share of households, at 8.4%, who couldn’t afford to keep homes warm enough.
London (5%) and South East (5%) had the smallest proportion. 3/6
Among all households who couldn’t afford to keep homes warm in England, a greater share of them were in the North East (14.1%) and London (13.9%) compared to the average share in England (11%). 4/6
The data shows that the ability to heat homes is both a regional and generational issue.
Data from FRS and HBAI could be used to appreciate who and where the vulnerable groups are to understand the problem more specifically, and to develop targeted solutions. 5/6
Learn more about our work on inequality and poverty here: bit.ly/3dAO2K4 6/6
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New analysis for the We Mean Business coalition🌿green recovery plans boost 💷income👩🔧employment and 📈GDP *better than return-to-normal stimulus measures* with the added benefit of reducing carbon emissions (1/5) #greenrecovery#buildbackbetter bit.ly/3kbiewr
In all geographies modelled (global, the EU, Germany, Poland, the UK, USA and India), green recovery plans were found to be more effective than return to normal stimulus approaches that reduce #VAT rates and encourage households to resume #spending (2/5)
The green recovery plans modelled are 5-point plans and include a smaller VAT reduction plus:
Public investment in #energyefficiency and electricity grid upgrades
Subsidies for #wind + #solar
Car scrappage schemes (subsidies only provided to #EVs) Tree planting programmes (3/5)