comparemela.com

Latest Breaking News On - Frequent tracking - Page 1 : comparemela.com

Poverty on the rise: SB s SWIFT model reveals troubling trends

As Botswana braces for an election year, it confronts a sobering reality: rising poverty levels, underscored by stark inequalities across various demographic

Introducing SWIFT: Real-time poverty monitoring using machine learning

The World Bank developed the Survey of Well-Being via Instant and Frequent Tracking (SWIFT) in 2014 to speed up and streamline poverty and inequality monitoring. It applies machine-learning techniques to the latest available household survey data to generate high-frequency poverty estimates that are comparable with official statistics.

Three things we learned about poverty and flood risk from urban household data

How do floods affect people, especially the poorer population, living in flood-prone areas? What attracts them to settle in these areas and how do they cope with the impacts of floods?

Mongolia s 2020 poverty rate estimated at 27 8 percent

The National Statistics Office (NSO) of Mongolia and the World Bank announced December 30, 2021 their joint official poverty rate estimation for 2020. The two organizations have collaborated on poverty measurement based on household consumption surveys since 2002.

Mongolia s 2020 poverty rate estimated at 27 8 percent

The National Statistics Office (NSO) of Mongolia and the World Bank announced December 30, 2021 their joint official poverty rate estimation for 2020. The two organizations have collaborated on poverty measurement based on household consumption surveys since 2002.

© 2024 Vimarsana

vimarsana © 2020. All Rights Reserved.