Other Poverty Study
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Publication
COVID-19 in Nigeria: Frontline Data and Pathways for Policy
(World Bank, Washington, DC, 2021-11) Lain, Jonathan William ; Vishwanath, Tara ; Alik-Lagrange, Arthur ; Amankwah, Akuffo ; Contreras-Gonzalez, Ivette ; Jenq, Christina ; Mcgee, Kevin ; Oseni, Gbemisola ; Palacios-Lopez, Amparo ; Sagesaka, AkikoThe COVID-19 (coronavirus) pandemic and its economic and social effects on households have created an urgent need for timely data to help monitor and mitigate the social and economic impacts of the crisis and protect the welfare of Nigerian society. To monitor how the COVID-19 pandemic is affecting the economy and people of Nigeria and to inform policy interventions and responses, the National Bureau of Statistics with technical support from the World Bank implemented the Nigeria COVID-19 National Longitudinal Phone Survey (NLPS) from April 2020 to April 2021. This report draws on NLPS and other relevant data to analyze COVID-19 impacts in Nigeria’s human capital, livelihoods and welfare. It also looks ahead to the broad challenges of building back better in Nigeria and summarizes priorities for policymaking and implementation. -
Publication
COVID-19 Impact Monitoring: Malawi, Round 6
(World Bank, Washington, DC, 2021-03) World BankIn May 2020, the National Statistical Office (NSO), with support from the World Bank, launched the High-Frequency Phone Survey on COVID-19, which tracks the socio-economic impacts of the pandemic on a monthly basis for a period of 12 months. The survey aimed to recontact the entire sample of households that had been interviewed during the Integrated Household Panel Survey (IHPS) 2019 round and that had a phone number for at least one household member or a reference individual. This report presents the findings from the Sixth round of the survey that was conducted during the period of December 10 - December 24, 2020. -
Publication
COVID-19 Impact Monitoring: Malawi, Round 7
(World Bank, Washington, DC, 2021-03) World BankIn May 2020, the National Statistical Office (NSO), with support from the World Bank, launched the High-Frequency Phone Survey on COVID-19, which tracks the socio-economic impacts of the pandemic on a monthly basis for a period of 12 months. The survey aimed to recontact the entire sample of households that had been interviewed during the Integrated Household Panel Survey (IHPS) 2019 round and that had a phone number for at least one household member or a reference individual. This report presents the findings from the seventh round of the survey that was conducted during the period of January 20 - February 6, 2021. -
Publication
COVID-19 Impact Monitoring: Nigeria, Round 10
(World Bank, Washington, DC, 2021-02) National Bureau of Statistics ; World BankThe COVID-19 (coronavirus) pandemic and its economic and social effects on households have created an urgent need for timely data to help monitor and mitigate the social and economic impacts of the crisis and protect the welfare of Nigerian society. To monitor how the COVID-19 pandemic is affecting the economy and people of Nigeria and to inform policy interventions and responses, the National Bureau of Statistics with technical support from the World Bank implemented the Nigeria COVID-19 National Longitudinal Phone Survey (COVID-19 NLPS). This brief presents findings from the seventh and ninth rounds of this survey which was conducted between February 6 and 22, 2021 respectively. -
Publication
COVID-19 Impact Monitoring: Uganda, Round 4-5
(World Bank, Washington, DC, 2021-02) World BankIn June 2020, the Uganda Bureau of Statistics, with the support from the World Bank, has launched the High-Frequency Phone Survey on COVID-19 (coronavirus) to track the impacts of the pandemic on a monthly basis for a period of 12 months. The survey aimed to recontact the entire sample of households that had been interviewed during the Uganda National Panel Survey 2019/20 round and that had phone numbers for at least one household member or a reference individual. This report presents the findings from the fourth and fifth rounds of the survey that were conducted respectively between October 27th and November 17th, 2020 and February 2nd and February 21st, 2021. -
Publication
COVID-19 Impact Monitoring: Uganda, Round 6
(World Bank, Washington, DC, 2021) World BankIn June 2020, the Uganda Bureau of Statistics, with the support from the World Bank, has launched the High-Frequency Phone Survey on COVID-19 to track the impacts of the pandemic on a monthly basis for a period of 12 months. The survey aimed to recontact the entire sample of households that had been interviewed during the Uganda National Panel Survey 2019/20 round and that had phone numbers for at least one household member or a reference individual. This report presents the findings from the sixth round of the survey that was conducted between March 22nd and April 9th , 2021. -
Publication
COVID-19 Impact Monitoring: Uganda Round 3
(World Bank, Washington, DC, 2020-12) World BankThis brief presents findings from the third round of the Uganda High-Frequency Phone Survey on COVID-19 (UHFPS), which was conducted in September-October 2020. In June 2020, the Uganda Bureau of Statistics (UBOS), with the support from the World Bank, officially launched the HFPS to track the impacts of the pandemic on a monthly basis for a period of 12 months. The survey aimed to recontact the entire sample of households that had been interviewed during the Uganda National Panel Survey (UNPS) 2019/20 round and that had phone numbers for at least one household member or a reference individual. The first round (baseline) of the survey was conducted from June 3rd to June 20th, the second round was conducted between July 31 and August 21 and the third round was conducted from September 14th to October 7th, 2020. Of the 2,421 households targeted 2,227 households were interviewed in round 1, and 2,199 among them were interviewed in round 2, and finally 2,147 households were interviewed in round 3 representing a 99 percent response rate between rounds 2 and 3. -
Publication
Tackling the Demographic Challenge in Uganda
(World Bank, Washington, DC, 2020-10-20) World BankAt the moment, a child born in Uganda will be only 38 percent as productive when she grows up as she can be if she enjoyed complete education and full health, according to the human capital index (HCI) one of the lowest levels in the world. It will be necessary to ensure that the growing population bulge will be engaged in productive economic activities that are adding value to economy. This report examines what it will take for Uganda to tackle the demographic challenge in the next four decades. The report also explores the effort required to ensure that future generations of Ugandans enjoy higher levels of access to basic services, a necessary condition to fully benefit from a demographic transition. The main objective of the report is to inform policymakers and relevant stakeholders in Uganda as they formulate their plans for the medium term. The report is organized as follows: chapter one gives introduction. Chapter two characterizes Uganda’s progress in terms of its demographic transition, describes its most recent demographic trends, and shows some correlates of the country’s fertility levels. The population projections under the medium and low-fertility variants for the period 2020-2060 are presented in chapter three, while chapter four explores the implications in terms of service delivery of these projections under the business as usual and enhanced equilibrium scenarios. Based on these same projections, chapter five presents the expected trends of select labor market and poverty indicators. -
Publication
The Geography of Welfare in Benin, Burkina Faso, Côte d'Ivoire, and Togo
(World Bank, Washington, DC, 2017-08) Nguyen, Nga Thi Viet ; Dizon, Felipe F.This report aims to assess the spatial disparities in economic development along four important dimensions: (i) It provides stylized facts of the underlying forces behind within-country inequality, namely natural endowment, agglomeration economies, and market access. These are the three building blocks of the economic geography literature; (ii) It examines spatial disparities in welfare and poverty. As the agricultural sector is a cornerstone of the economy in this sub-region, the report explores geographical differences in agricultural activity; (iii) It quantifies the roles of natural endowment, agglomeration economies, and market access in determining the spatial distribution of welfare and agricultural productivity; (iv) It suggests a number of policy guidelines that may help improve shared prosperity across space. -
Publication
The Socio-Economic Impacts of Ebola in Sierra Leone: Results from a High Frequency Cell Phone Survey, Round 3
(World Bank, Washington, DC, 2015-06-15) Himelein, Kristen ; Testaverde, Mauro ; Turay, Abubakarr ; Turay, SamuelAs of June 7, 2015, Sierra Leone had reported more than 12,900 cases of Ebola Virus Disease (EVD), and over 3,900 deaths since the outbreak began. In recent months, substantial progress has been made, with a maximum of 15 new cases per week reported following a nationwide lockdown and information campaign at the end of March. The Government of Sierra Leone, with support from the World Bank Group, has been conducting mobile phone surveys with the aim of capturing the key socio-economic effects of the virus. Three rounds of data collection have been conducted, in November 2014, January-February 2015, and May 2015. The survey was given to household heads for whom cell phone numbers were recorded during the nationally-representative Labor Force Survey conducted in July and August 2014. Overall, 66 percent of the 4,199 households sampled in that survey had cell phones, although this coverage was uneven across the country, with higher levels in urban areas (82 percent) than rural areas (43 percent). Of those with cell phones, 51 percent were surveyed in all three rounds, and 79 percent were reached in at least one round. The results for the third round of the survey, which contacted 1,715 households, focus mainly on employment, agriculture, food security and prices, and health service utilization, covering predominantly urban areas where cell phone coverage is highest, but including rural areas as much as possible given the sample available.
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