Sentence examples for poverty counties from inspiring English sources

This plan targets 592 designated poverty counties in the country.

In 2012, Poverty Alleviation Leading Group Office from the State Council adjusted the list for 592 designated poverty counties.

The Project in China was designed by the Chinese Government and partners to deliver free hepatitis B vaccine and safe injections to all newborns in the 12 Western Provinces and Poverty Counties in 10 Provinces of Central China (1301 Counties with approximately 5.6 million births per year), eliminating the gap in immunization coverage between wealthier and poorer regions of China.

The purpose of the project was to increase coverage of hepatitis B vaccine through a pro-poor approach targeting all counties of the 12 Western provinces and poverty counties of the 10 Central provinces, to accelerate integration of hepatitis B vaccine into routine immunization, and assure immunization injection safety.

The result of charging for hepatitis B vaccine was that coverage was relatively high in Eastern and wealthier counties in Central China (∼80 90%), but was much lower (∼40%) in Western China and Poverty Counties where parents could not afford the vaccine.

Individuals living in concentrated poverty counties had a greater prevalence of diabetes and hypertension than those in affluent counties; and estimated GFR was slightly higher among persons in concentrated poverty counties.

In contrast, in Maiji district, which is a state poverty county with per capita GDP of 19,586 RMB (US$3,154.77) in 2012, village doctors still functioned as self-employed workers.

There may be different trends in high-poverty counties versus low-poverty counties.

Column 3 displays high-poverty counties have 0.29 h lower average weekly hours, two and three years after the expansion.

I find a 1.4 percentage point decrease in labor supply and 0.49%% increase in SNAP enrollment in high-poverty counties after the expansions in comparison to low-poverty counties.

With this restriction, I compare the effects of the Medicaid expansions on high-poverty counties in relation to the trends in high-poverty counties in neighboring states that did not expand Medicaid during the same period.