Publication: Global Trends in Child Monetary Poverty According to International Poverty Lines
Loading...
Published
2023-09-19
ISSN
Date
2023-09-19
Editor(s)
Abstract
This paper analyzes extreme child poverty ($2.15/day poverty line) trends, as well as child poverty based on the higher international poverty lines of $3.65 and $6.85. The paper provides a trajectory of extreme child poverty (children living in extremely poor households) from 2013 to 2019 (based on the most recent surveys included in the Global Monitoring Database), complemented by nowcasting for 2020 to 2022. Children continue to be disproportionately affected by extreme poverty. Children who are younger than 18 years comprise more than 50 percent of those living in extreme poverty, although their share of the population is 31 percent. The paper estimates that in 2019, 15.8 percent of children in the world (319 million) younger than 18 years lived on less than $2.15 (2017 purchasing power parity) per day, as opposed to 6.6 percent of adults ages 18 and older. More recent “nowcasted” estimates suggest that at least 333 million children were expected to be living in extremely poor households in 2022, implying that 14 million more children were extremely poor in 2022 than in 2019. Following an increase in extreme child poverty at the height of the pandemic in 2020, nowcasted estimates show that the rate of extreme child poverty fell again in 2021 and 2022, but only at the slow rate of progress seen prior to the COVID-19 crisis. If the COVID-19 pandemic had not occurred, an estimated 79.7 million fewer children would have been living in extreme poverty between 2013 and 2022; however, the estimates suggest that the number of children living in extreme poverty decreased by 49.2 million, due to pandemic disruptions.
Link to Data Set
Citation
“Salmeron Gomez, Daylan; Engilbertsdottir, Solrun; Cuesta Leiva, Jose Antonio; Newhouse, David; Stewart, David. 2023. Global Trends in Child Monetary Poverty According to International Poverty Lines. Policy Research Working Paper; 10525. © World Bank. http://hdl.handle.net/10986/40364 License: CC BY 3.0 IGO.”
Digital Object Identifier
Associated URLs
Associated content
Other publications in this report series
Publication The Economic Value of Weather Forecasts: A Quantitative Systematic Literature Review(Washington, DC: World Bank, 2025-09-10)This study systematically reviews the literature that quantifies the economic benefits of weather observations and forecasts in four weather-dependent economic sectors: agriculture, energy, transport, and disaster-risk management. The review covers 175 peer-reviewed journal articles and 15 policy reports. Findings show that the literature is concentrated in high-income countries and most studies use theoretical models, followed by observational and then experimental research designs. Forecast horizons studied, meteorological variables and services, and monetization techniques vary markedly by sector. Estimated benefits even within specific subsectors span several orders of magnitude and broad uncertainty ranges. An econometric meta-analysis suggests that theoretical studies and studies in richer countries tend to report significantly larger values. Barriers that hinder value realization are identified on both the provider and user sides, with inadequate relevance, weak dissemination, and limited ability to act recurring across sectors. Policy reports rely heavily on back-of-the-envelope or recursive benefit-transfer estimates, rather than on the methods and results of the peer-reviewed literature, revealing a science-to-policy gap. These findings suggest substantial socioeconomic potential of hydrometeorological services around the world, but also knowledge gaps that require more valuation studies focusing on low- and middle-income countries, addressing provider- and user-side barriers and employing rigorous empirical valuation methods to complement and validate theoretical models.Publication The Macroeconomic Implications of Climate Change Impacts and Adaptation Options(Washington, DC: World Bank, 2025-05-29)Estimating the macroeconomic implications of climate change impacts and adaptation options is a topic of intense research. This paper presents a framework in the World Bank's macrostructural model to assess climate-related damages. This approach has been used in many Country Climate and Development Reports, a World Bank diagnostic that identifies priorities to ensure continued development in spite of climate change and climate policy objectives. The methodology captures a set of impact channels through which climate change affects the economy by (1) connecting a set of biophysical models to the macroeconomic model and (2) exploring a set of development and climate scenarios. The paper summarizes the results for five countries, highlighting the sources and magnitudes of their vulnerability --- with estimated gross domestic product losses in 2050 exceeding 10 percent of gross domestic product in some countries and scenarios, although only a small set of impact channels is included. The paper also presents estimates of the macroeconomic gains from sector-level adaptation interventions, considering their upfront costs and avoided climate impacts and finding significant net gross domestic product gains from adaptation opportunities identified in the Country Climate and Development Reports. Finally, the paper discusses the limits of current modeling approaches, and their complementarity with empirical approaches based on historical data series. The integrated modeling approach proposed in this paper can inform policymakers as they make proactive decisions on climate change adaptation and resilience.Publication Rigging the Scores: Corruption through Scoring Rule Manipulation in Public Procurement Auctions(Washington, DC: World Bank, 2025-12-02)Public procurement is highly susceptible to corruption, especially in developing countries. Although open auctions are widely adopted to curb it, this paper finds that corruption remains prevalent even within this procurement format. Procurement officers can collaborate with firms to manipulate scoring rules, ensuring predetermined winners, while corrupt firms submit noncompetitive bids to meet minimum bidder requirements. Using extensive data from Chinese public procurement auctions, the paper introduces model-driven statistical tools to detect such corruption, identifying a corruption rate of 65 percent. A procurement expert audit survey confirms the tools’ reliability, with a 91 percent probability that experts recognize suspicious scoring rules when flagged. Firm-level analysis reveals that local, state-owned, and less productive firms are favored in corrupt auctions. Lastly, the paper explores policy implications. Analysis of the national anti-corruption campaign since 2012 suggests that general investigations may be insufficient to address deeply ingrained corrupt practices. Using counterfactuals based on an estimated structural model, the paper shows that implementing anonymous call-for-tender evaluations could improve social welfare by 10 percent by eliminating suspicious rules and encouraging broader participation.Publication Labor Demand in the Age of Generative AI: Early Evidence from the U.S. Job Posting Data(Washington, DC: World Bank, 2025-11-18)This paper examines the causal impact of generative artificial intelligence on U.S. labor demand using online job posting data. Exploiting ChatGPT’s release in November 2022 as an exogenous shock, the paper applies difference-in-differences and event study designs to estimate the job displacement effects of generative artificial intelligence. The identification strategy compares labor demand for occupations with high versus low artificial intelligence substitution vulnerability following ChatGPT’s launch, conditioning on similar generative artificial intelligence exposure levels to isolate substitution effects from complementary uses. The analysis uses 285 million job postings collected by Lightcast from the first quarter of 2018 to the second quarter of 2025Q2. The findings show that the number of postings for occupations with above-median artificial intelligence substitution scores fell by an average of 12 percent relative to those with below-median scores. The effect increased from 6 percent in the first year after the launch to 18 percent by the third year. Losses were particularly acute for entry-level positions that require neither advanced degrees (18 percent) nor extensive experience (20 percent), as well as those in administrative support (40 percent) and professional services (30 percent). Although generative artificial intelligence generates new occupations and enhances productivity, which may increase labor demand, early evidence suggests that some occupations may be less likely to be complemented by generative artificial intelligence than others.Publication Investment Policy Reforms and Foreign Direct Investment Inflows(Washington, DC: World Bank, 2025-12-01)Foreign direct investment has the potential to introduce much-needed capital and expertise in emerging and developing economies. To attract foreign direct investment, many countries have eased restrictions on foreign ownership in various sectors, reformed their institutions, and set up investment promotion agencies. Until the mid-2010s, Ethiopia remained one of the few countries that resisted this trend, with several stringent restrictions in place on foreign direct investment entry and operations in the country. This study employs a synthetic control method to examine patterns in foreign capital inflows following a series of investment policy reforms that were substantively introduced in the mid-2010s (circa 2015). The study offers evidence that investment policy reforms contributed to a significant foreign direct investment inflow in Ethiopia, compared to what would have occurred in the absence of these policies. An alternative strategy that conservatively specifies the donor country pool using an AI-assisted deep search technique changes the donor pool weighting matrix of the synthetic control method, but the estimated policy effects largely remain robust to this specification. The findings highlight the importance of targeted reforms in promoting foreign direct investment inflow in developing countries.
Journal
Journal Volume
Journal Issue
Collections
Related items
Showing items related by metadata.
Publication Children in Monetary Poor Households: Global, Regional, and Select National Trends in the Progress against Child Poverty(Washington, DC: World Bank, 2025-09-05)This paper presents the first estimates of extreme child poverty and child poverty using the World Bank’s recently revised international poverty lines. Using the international poverty line of $3.00 per day and the higher $8.30 per day poverty line (both expressed in 2021 purchasing power parity), the paper provides new results of the global and regional trends over 2014–24. The estimates show that 19.2 percent of children, approximately 412 million children, were living on less than $3.00 (2021 PPP) per day as of 2024, a reduction from 507 million children in 2014. This long-term decrease was slower than that for the general population. At the higher line of $8.30, the child poverty rate in 2024 was 65.9 percent, representing around 1.4 billion children, a drop from the 73.1 percent registered in 2014. At the regional level, the East Asia and Pacific and South Asia regions witnessed significant reductions in child poverty and extreme child poverty between 2014 and 2024, and the Europe and Central Asia and Latin America and the Caribbean regions showed reductions mostly in child poverty. In the same period, there was an increase in extreme child poverty in the Middle East and North Africa region. Sub-Saharan Africa experienced a “lost decade” of child poverty reduction between 2014 and 2024, increasing its concentration of global poverty. In 2024, Sub-Saharan Africa hosted more than three-quarters of children in extreme poor households (more than 311 million children), although its share of the global child population was around 23 percent. Country-level results show evidence of regional heterogeneity in progress against extreme child poverty.Publication Global Estimate of Children in Monetary Poverty(World Bank, Washington, DC, 2020-10)This note builds on previous collaboration between the World Bank Group and UNICEF to estimate the global extent of child poverty. We estimate that in 2017, 17.5 percent of children in the world (or 356 million) younger than 18 years lived on less than 1.90 Dollars PPP per day, as opposed to 7.9 percent of adults ages 18 and above. The poverty rate of children at the 3.20 Dollars and 5.50 Dollars lines were 41.5 and 66.7 percent, respectively. The number of children living in extreme poverty declined by approximately 29 million between 2013 and 2017. In 2017, Sub-Saharan Africa accounted for two thirds of extremely poor children, and South Asia another 18 percent. These estimates are based on the Global Monitoring Database (GMD) of household surveys compiled in Spring 2020 and consists of surveys from 149 countries that are also used for the official World Bank poverty estimates. Because the estimates pertain to 2017, they do not consider the adverse economic impact of the COVID-19 (coronavirus) pandemic.Publication June 2025 Update to the Multidimensional Poverty Measure(Washington, DC: World Bank, 2025-08-14)This note presents the 9th edition of the World Bank’s Multidimensional Poverty Measure (MPM) database, drawing on the latest country data from the Global Monitoring Database (GMD) as of June 2025. The MPM offers a broader view of poverty by examining deprivations along three dimensions of well-being: monetary poverty (measured using the international poverty line of 3.00 dollars per person per day in 2021 PPP), education, and access to basic infrastructure services. This latest edition covers 120 economies for circa 2021, an increase from the 110 economies of the October 2024 update.Publication October 2025 Update to the Multidimensional Poverty Measure: What’s New(Washington, DC: World Bank, 2025-10-24)This note presents the 10th edition of the World Bank’s Multidimensional Poverty Measure (MPM) database, drawing on the latest country data from the Global Monitoring Database (GMD) as of October 2025. The MPM offers a broader view of poverty by examining deprivations along three dimensions of well-being: monetary poverty (measured using the international poverty line at $3.00 per person per day in 2021 PPP), education, and access to basic infrastructure services. This latest edition covers 113 economies for circa 2022, and notably includes India and Nigeria, which drastically increases the population coverage of the MPM globally.Publication Indigenous peoples, land and conflict in Mindanao, Philippines(Washington, DC: World Bank, 2024-02-12)This article explores the links between conflict, land and indigenous peoples in several regions of Mindano, the Philippines, notorious for their levels of poverty and conflict. The analysis takes advantage of the unprecedented concurrence of data from the most recent, 2020, census; an independent conflict data monitor for Mindanao; and administrative sources on ancestral land titling for indigenous peoples in the Philippines. While evidence elsewhere compellingly links land titling with conflict reduction, a more nuanced story emerges in the Philippines. Conflicts, including land- and resource-related conflicts, are generally less likely in districts (barangays) with higher shares of indigenous peoples. Ancestral domain areas also have a lower likelihood for general conflict but a higher likelihood for land-related conflict. Ancestral domains titling does not automatically solve land-related conflicts. When administrative delays take place (from cumbersome bureaucratic processes, insufficient resources and weak institutional capacity), titling processes may lead to sustained, rather than decreased, conflict.
Users also downloaded
Showing related downloaded files
Publication World Development Report 2024(Washington, DC: World Bank, 2024-08-01)Middle-income countries are in a race against time. Many of them have done well since the 1990s to escape low-income levels and eradicate extreme poverty, leading to the perception that the last three decades have been great for development. But the ambition of the more than 100 economies with incomes per capita between US$1,100 and US$14,000 is to reach high-income status within the next generation. When assessed against this goal, their record is discouraging. Since the 1970s, income per capita in the median middle-income country has stagnated at less than a tenth of the US level. With aging populations, growing protectionism, and escalating pressures to speed up the energy transition, today’s middle-income economies face ever more daunting odds. To become advanced economies despite the growing headwinds, they will have to make miracles. Drawing on the development experience and advances in economic analysis since the 1950s, World Development Report 2024 identifies pathways for developing economies to avoid the “middle-income trap.” It points to the need for not one but two transitions for those at the middle-income level: the first from investment to infusion and the second from infusion to innovation. Governments in lower-middle-income countries must drop the habit of repeating the same investment-driven strategies and work instead to infuse modern technologies and successful business processes from around the world into their economies. This requires reshaping large swaths of those economies into globally competitive suppliers of goods and services. Upper-middle-income countries that have mastered infusion can accelerate the shift to innovation—not just borrowing ideas from the global frontiers of technology but also beginning to push the frontiers outward. This requires restructuring enterprise, work, and energy use once again, with an even greater emphasis on economic freedom, social mobility, and political contestability. Neither transition is automatic. The handful of economies that made speedy transitions from middle- to high-income status have encouraged enterprise by disciplining powerful incumbents, developed talent by rewarding merit, and capitalized on crises to alter policies and institutions that no longer suit the purposes they were once designed to serve. Today’s middle-income countries will have to do the same.Publication Unlocking Blue Carbon Development(Washington, DC: World Bank, 2023-09-11)The purpose of this paper is to provide a practical framework to guide governments in catalyzing and scaling up public and private investment in Blue Carbon as part of their blue economy development. It does this by describing in detail a Blue Carbon Readiness Framework, a step-by-step, well-illustrated guide with simple checklists. Client countries can use the illustrations and checklists to determine their readiness to catalyze and scale up investment in blue carbon credit finance. The Blue Carbon Readiness Framework consists of three pillars: 1. Data and Analytics; 2. Policy and Institutions; 3. Finance.Publication Classroom Assessment to Support Foundational Literacy(Washington, DC: World Bank, 2025-03-21)This document focuses primarily on how classroom assessment activities can measure students’ literacy skills as they progress along a learning trajectory towards reading fluently and with comprehension by the end of primary school grades. The document addresses considerations regarding the design and implementation of early grade reading classroom assessment, provides examples of assessment activities from a variety of countries and contexts, and discusses the importance of incorporating classroom assessment practices into teacher training and professional development opportunities for teachers. The structure of the document is as follows. The first section presents definitions and addresses basic questions on classroom assessment. Section 2 covers the intersection between assessment and early grade reading by discussing how learning assessment can measure early grade reading skills following the reading learning trajectory. Section 3 compares some of the most common early grade literacy assessment tools with respect to the early grade reading skills and developmental phases. Section 4 of the document addresses teacher training considerations in developing, scoring, and using early grade reading assessment. Additional issues in assessing reading skills in the classroom and using assessment results to improve teaching and learning are reviewed in section 5. Throughout the document, country cases are presented to demonstrate how assessment activities can be implemented in the classroom in different contexts.Publication Argentina Country Climate and Development Report(World Bank, Washington, DC, 2022-11)The Argentina Country Climate and Development Report (CCDR) explores opportunities and identifies trade-offs for aligning Argentina’s growth and poverty reduction policies with its commitments on, and its ability to withstand, climate change. It assesses how the country can: reduce its vulnerability to climate shocks through targeted public and private investments and adequation of social protection. The report also shows how Argentina can seize the benefits of a global decarbonization path to sustain a more robust economic growth through further development of Argentina’s potential for renewable energy, energy efficiency actions, the lithium value chain, as well as climate-smart agriculture (and land use) options. Given Argentina’s context, this CCDR focuses on win-win policies and investments, which have large co-benefits or can contribute to raising the country’s growth while helping to adapt the economy, also considering how human capital actions can accompany a just transition.Publication Services Unbound(Washington, DC: World Bank, 2024-12-09)Services are a new force for innovation, trade, and growth in East Asia and Pacific. The dramatic diffusion of digital technologies and partial policy reforms in services--from finance, communication, and transport to retail, health, and education--is transforming these economies. The result is higher productivity and changing jobs in the services sector, as well as in the manufacturing sectors that use these services. A region that has thrived through openness to trade and investment in manufacturing still maintains innovation-inhibiting barriers to entry and competition in key services sectors. 'Services Unbound: Digital Technologies and Policy Reform in East Asia and Pacific' makes the case for deeper domestic reforms and greater international cooperation to unleash a virtuous cycle of increased economic opportunity and enhanced human capacity that would power development in the region.