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Using Big Data and machine learning to locate the poor in Nigeria

Using Big Data and machine learning to locate the poor in Nigeria
According to the 2018/19 Nigeria Living Standards Survey (NLSS), just 1.6% of Nigerians lived in a household that was enrolled in the National Social Safety Net Project (NASSP), the country’s flagship social protection program. As is the case in other countries, those Nigerians newly impoverished by the COVID-19 crisis are likely to be different from the existing poor: they are more urban, more likely to live in southern Nigeria, and more dependent on service sector incomes. This evolving profile of the poor is reflected in current efforts to expand social protection in Nigeria, including the Rapid Response Register for the COVID-19 Cash Transfer Project, which is being guided by the mapping exercise described below. ....

United States , National Social Safety Net Project , University Of California , National Social Safety Nets Coordinating Office , Nigeria Living Standards Survey , Health Survey , Living Standards Survey , Rapid Response Register , Transfer Project , Big Data , South West , Poverty Action , Geographic Micro Targeting , Social Assistance , High Resolution Poverty , ஒன்றுபட்டது மாநிலங்களில் , தேசிய சமூக பாதுகாப்பு நிகர ப்ராஜெக்ட் , பல்கலைக்கழகம் ஆஃப் கலிஃபோர்னியா , தேசிய சமூக பாதுகாப்பு வலைகள் ஒருங்கிணைத்தல் அலுவலகம் , நைஜீரியா வாழும் தரநிலைகள் கணக்கெடுப்பு , ஆரோக்கியம் கணக்கெடுப்பு , வாழும் தரநிலைகள் கணக்கெடுப்பு , விரைவான பதில் பதிவு , பரிமாற்றம் ப்ராஜெக்ட் , பெரியது தகவல்கள் , தெற்கு மேற்கு ,

Tackling poverty in multiple dimensions: A proving ground in Nigeria?

[1] Using the same population estimates as the 2018/19 Nigeria Living Standards Survey, this means that more than 80 million Nigerians were living in poverty before the pandemic, even without data from Borno state where the survey could not be fully carried out.
[2] However, projections suggest that the combined effects of the COVID-19 crisis and natural population growth could leave 100 million people living below the national poverty line by 2022, rationalizing the government’s ambitious poverty reduction aspirations. Since Nigeria is home to the largest number of poor people in Sub-Saharan Africa the world’s poorest region lifting Nigerians out of poverty is vital for “moving the needle” and reducing global poverty. ....

Democratic Republic Of The Congo , Bolsa Fam , United Nations Development Programme , World Bank Poverty , Data Exchange , World Development Indicators , Human Development Initiative , Nigeria Living Standards , World Bank , Living Standards Survey , Sub Saharan Africa , Global Multidimensional Poverty Index , Oxford Poverty , Multidimensional Poverty Measure , Democratic Republic , Shared Prosperity Report , Humanitarian Data Exchange , North Central , North East , North West , South East , South West , Living Standards , ஜனநாயக குடியரசு ஆஃப் தி காங்கோ , போல்சா ஃப்யாம் , ஒன்றுபட்டது நாடுகள் வளர்ச்சி ப்ரோக்ராம் ,