This report aims to familiarize those involved in estimating official poverty statistics with the SWIFT framework to enhance the frequency and quality of poverty data. It presentshow SWIFT works, discusses...
The Survey of Wellbeing via Instant and Frequent Tracking (SWIFT) is an innovative framework for producing poverty statistics with significantly reduced costs and time. Lanjouw and Yoshida (2022) reveal...
To monitor the evolution of household living conditions during the COVID-19 pandemic, the World Bank conducted COVID-19 High-Frequency Phone Surveys in around 80 countries. Phone surveys are cheap and...
Close to half of the population of Afghanistan was living below the national poverty line prior to the regime change in August 2021, with no additional information on poverty collected in the country since...
The Survey of Well-being via Instant and Frequent Tracking (SWIFT) program was created in 2014 to produce poverty statistics cost-effectively, timely, and in a user-friendly manner. Under the SWIFT program...
This paper presents updated poverty and inequality estimates from the Somalia High Frequency Survey. This survey used the Rapid Consumption Method to collect consumption data quickly in an environment...
This paper presents updated poverty and inequality estimates from the South Sudan High Frequency Survey (HFS) consumption data. The HFS uses the Rapid Consumption Methodology (RCM), which skips part of...
The coronavirus disease 2019 (COVID-19) pandemic and its effects on households create an urgent need for timely data and evidence to help monitor and mitigate the social and economic impacts of the crisis...
This paper presents updated poverty and inequality estimates from the South Sudan High Frequency Survey (HFS) consumption data. The HFS uses the Rapid Consumption Methodology (RCM), which skips part of...
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...
Measuring global poverty requires two types of spatial price adjustments: inter-country price adjustment based on the international purchasing power parities (PPPs) and intra-country price adjustment to...
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...
The High-Frequency Phone Survey for refugees in Uganda (URHFPS) tracked the socioeconomic impacts of the COVID-19 (coronavirus) crisis on refugees throughout three rounds. The World Bank (WB) in collaboration...
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...
The High-Frequency Phone Survey for refugees in Uganda (URHFPS) tracks the socioeconomic impacts of the COVID-19 crisis on refugees. The World Bank (WB) in collaboration with the Uganda Bureau of Statistics...
The March 2021 update to PovcalNet involves several changes to the data underlying the global poverty estimates. Some welfare aggregates have been changed for improved harmonization, and the CPI, national...
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...
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...
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)...
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...