Other Poverty Study

369 items available

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COVID-19 Impact Monitoring: Malawi, Round 7
(World Bank, Washington, DC, 2021-03) World Bank
In 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.
Monitoring Social and Economic Impacts of COVID-19 on Refugees in Uganda: Results from the High-Frequency Phone Survey, First Round (October-November 2020)
(World Bank, Washington, DC, 2021-02-24) World Bank
The High-Frequency Phone Survey for refugees in Uganda (URHFPS) tracks the socioeconomic impacts of COVID-19 on refugees. The World Bank (WB) in collaboration with the Uganda Bureau of Statistics (UBOS) and United Nations High Commissioner for Refugees (UNCHR) launched and conducted the URHFPS. The URHFPS tracks the impacts of the pandemic on a monthly basis for a period of three months. Data collection for the first round of URHFPS took place between October 22 – November 25, 2020. This brief discusses results from the first round of the URHFPS. Where possible and appropriate, results for refugees are compared to nationals by using the national High-Frequency Phone Survey on COVID-19 (HFPS). The survey sample includes respondents with active phone numbers that were selected randomly from the Profile Global Registration System (ProGres) of UNHCR, and the refugee household survey carried out by UBOS and the World Bank in 2018. The targeted sample includes 2,100 households and is representative at seven strata constructed as a combination of regions and different countries of origin: Kampala-Somalia, Kampala-other (Burundi, DRC, South Sudan), South West-Burundi (SW-Burundi), South West-DRC (SW-DRC), South West-South Sudan (SW-South Sudan), South West-Somalia (SW-Somalia), and West Nile-South Sudan (WN-South Sudan). In terms of population size, the largest strata are South West-DRC and West Nile-South Sudan. Both strata account for more than 85 percent of refugees in Uganda in 2020. The realized sample after the first round was 2,010 households. In order to reduce the bias related to only interviewing households with phone numbers and non-response, the data from the 2018 representative refugee household survey was used to produce and calibrate the weights for the phone survey.
COVID-19 Impact Monitoring: Malawi, Round 5
(World Bank, Washington, DC, 2021-01) World Bank
In May 2020, the National Statistical Office (NSO), with support from the World Bank, launched the High-Frequency Phone Survey on COVID-19, (coronavirus) 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 fifth round of the survey that was conducted during the period of October 29 - November 16, 2020.
COVID-19 Impact Monitoring: Malawi, Round 4
(World Bank, Washington, DC, 2020-11) Malawi National Statistical Office; World Bank
In May 2020, the National Statistical Office (NSO), with support from the World Bank, has 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 fourth round of the survey that was conducted during the period of September 14 - September 29, 2020.
COVID-19 Impact Monitoring: Nigeria, Round 3
(World Bank, Washington, DC, 2020-07) World Bank
The 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 (coronavirus) 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 third round of this survey which was conducted between July 6 and 20, 2020.
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, Samuel
As 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.
FYR of Macedonia: Measuring Welfare using the Survey of Income and Living Conditions
(Washington, DC, 2015-05) World Bank
This note expands the analysis on poverty and income distribution reported by the FYR Macedonia SSO for 2010 and 2011. The present work is based on an analysis performed in-situ by World Bank staff on the offices of the FYR Macedonian SSO.
Poverty and Social Exclusion in Bosnia and Herzegovina: Insights from the 2011 Extended Household Budget Survey
(World Bank, Washington, DC, 2015) Ceriani, Lidia; Ruggeri Laderchi, Caterina
In 2011 the statistical authorities of Bosnia-Herzegovina collected for the first time a national survey which allows monitoring the European indicators of poverty and social exclusion as well as national indicators of absolute and relative consumption poverty. The Extended Household Budget Survey (EHBS) adds extra modules to a standard Household Budget Surveys (HBS) designed to collect detailed information on household expenditures. The additional modules covered the information needed to measure poverty and social exclusion in EU Member states. In this way, the EHBS represents a hybrid solution between collecting a HBS and a Survey of Income and Living Conditions (SILC), the official tool for measuring poverty and social exclusion in the EU, which omits expenditure information. The note is structured as follows: section two presents a detailed description of the data, while section three discusses the three constituent indicators of AROPE, and their mutual relation, i.e. their union (the AROPE indicator) and their intersection. Section four presents additional dimensions of exclusion on which data have been collected, especially those relating to children. Section five presents a comparison of indicators of monetary poverty and social exclusion. Finally, section six summarizes the most interesting elements which have emerged from this analysis and concludes.