Future of an Ageing Population
gs-16-10-future-of-an-ageing-population
gs-16-10-future-of-an-ageing-population
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However, there is evidence that the length <strong>of</strong> working lives varies across the<br />
population. For example, there are signific<strong>an</strong>t differences in current employment<br />
rates by region (see Table 2.1): London <strong>an</strong>d the South East have the highest<br />
percentage <strong>of</strong> men above SPA in employment, <strong>an</strong>d the North East has the<br />
lowest 34 . Employment in later life is heavily influenced by employment in early<br />
life, <strong>an</strong>d there are differences between socio-economic <strong>an</strong>d ethnic groups.<br />
Female labour market participation rates vary by ethnic background with<br />
Pakist<strong>an</strong>i origin women, for example, having lower levels <strong>of</strong> economic activity<br />
th<strong>an</strong> Black Caribbe<strong>an</strong> <strong>an</strong>d White women 35 .<br />
Employment rate (%)<br />
Region Men Women<br />
London 16.9 10.0<br />
South East 16.9 8.5<br />
South West 15.2 8.9<br />
East 14.8 9.6<br />
Northern Irel<strong>an</strong>d 14.2 5.3<br />
East Mids 13.9 6.9<br />
Wales 12.9 7.9<br />
West Midl<strong>an</strong>ds 12.9 5.3<br />
Yorkshire & The Humber 12.0 6.7<br />
Scotl<strong>an</strong>d 11.8 5.9<br />
North West 10.7 6.5<br />
North East 9.5 6.4<br />
Table 2.1: Regional employment rates <strong>of</strong> men <strong>an</strong>d women aged 65+, 2016 36 .<br />
This variation raises concerns about the extent to which all <strong>of</strong> society will<br />
benefit from enh<strong>an</strong>ced labour market participation. There are a wide r<strong>an</strong>ge <strong>of</strong><br />
external factors which make longer working more difficult or less desirable. Such<br />
barriers are evaluated in the next two sections, which also outline approaches to<br />
overcoming them.<br />
P33