Poverty and Social Exclusion
Defining, measuring and tackling poverty, latest articles, home page featured articles, buenos aires 2017.
A recent report form the city of Buenos Aires measuring multi-dimensional poverty, using the consensual method, has found that in 2019, 15.3% of households were multi-dimensionally poor, rising to 25.7% for households with children under 18 years of age. The method established will be used to measure nu,ti-dimensional poverty on an ongoing basis.
6th Townsend poverty conference ad
We are now delighted to offer you the presentation slides and video recordings of sessions across the three days, featuring formal presentations, interactive Q&As, networking opportunities and much more.
Child deprivation in EU member states, 2018
The United Nations Economic Commission for Europe (UNECE) Steering Group on Measuring Poverty and Inequality has been tasked with producing a guide on Measuring Social Exclusion which references a lot of our PSE work.
Households in poverty: five case studies
Find out what it really means to miss out on what others take for granted and the deep impact this has on lives and opportunities. The PSE team have filmed with five families living in London, north-east England, Scotland and Northern Ireland. Between them, they represent each of the following key groups vulnerable to poverty:
- single parents on benefits
- the young unemployed
- low-paid workers supporting a family
- adults who are disabled
- single pensioners .
All lack a range of the necessities selected by the public as essential for a minimum living standard in the UK today (see the full list of child and adult necessities in explore the data ). They are all also living on a low income. Using the consensual method for defining poverty that underpins the PSE: UK research, each household is living in poverty.
The following series of short films were recorded between late 2011 and early 2012. The PSE team is very grateful to all the families who are sharing their experiences with us.
Living in poverty featured articles
Featured case studies, the johnsons story.
Renée is 40 and works long hours for low pay to try to provide for her four children, aged 3 to 14, and her 80-year-old mother.
Jennie's story
Jennie is 39 and unemployed. She lives with her three sons, all of whom have disabilities, in Redbridge, outer London.
Marc's Story
Marc is 19 and lives in Redcar in north-east England, a town where there are twelve times as many people claiming job seeker’s allowance as there a
The burden of the downturn that followed the 2008 economic crash was borne by those on the lowest incomes (see Burden of economic downturn taken by the low paid ). In addition, the Coalition government’s austerity measures and changes to the tax and benefit system will impact heavily on those on lowest incomes. The Institute for Fiscal Studies estimates that the net effect will be a rise in both child and adult poverty levels (see UK poverty set to rise in next three years ). The government’s plans include cuts of £18 billion to the welfare budget between 2011 and 2014. While the introduction of Universal Credit should, in principle, increase the benefit entitlements of some households, these improvements are more than offset by other changes to personal taxes and state benefits, such as linking benefits to the Consumer Price Index rather than to the Retail Price Index (see Child and adult poverty set to rise by 2015 ). In addition, Universal Credit risks making certain groups significantly worse off, in particular single working mothers (see Welfare reforms could push 250,000 children deeper into poverty ).
Tweet this page
Featured Topics
Featured series.
A series of random questions answered by Harvard experts.
Explore the Gazette
Read the latest.
EVs fight warming but are costly. Why aren’t we driving $10,000 Chinese imports?
Toll of QAnon on families of followers
The urgent message coming from boys
Robert Sampson, Henry Ford II Professor of the Social Sciences, is one of the researchers studying the link between poverty and social mobility.
Rose Lincoln/Harvard file photo
Unpacking the power of poverty
Peter Reuell
Harvard Staff Writer
Study picks out key indicators like lead exposure, violence, and incarceration that impact children’s later success
Social scientists have long understood that a child’s environment — in particular growing up in poverty — can have long-lasting effects on their success later in life. What’s less well understood is exactly how.
A new Harvard study is beginning to pry open that black box.
Conducted by Robert Sampson, the Henry Ford II Professor of the Social Sciences, and Robert Manduca, a doctoral student in sociology and social policy in the Graduate School of Arts and Sciences, the study points to a handful of key indicators, including exposure to high levels of lead, violence, and incarceration as key predictors of children’s later success. The study is described in an April paper published in the Proceedings of the National Academy of Sciences.
“What this paper is trying to do, in a sense, is move beyond the traditional neighborhood indicators people use, like poverty,” Sampson said. “For decades, people have shown poverty to be important … but it doesn’t necessarily tell us what the mechanisms are, and how growing up in poor neighborhoods affects children’s outcomes.”
To explore potential pathways, Manduca and Sampson turned to the income tax records of parents and approximately 230,000 children who lived in Chicago in the 1980s and 1990s, compiled by Harvard’s Opportunity Atlas project. They integrated these records with survey data collected by the Project on Human Development in Chicago Neighborhoods, measures of violence and incarceration, census indicators, and blood-lead levels for the city’s neighborhoods in the 1990s.
They found that the greater the extent to which poor black male children were exposed to harsh environments, the higher their chances of being incarcerated in adulthood and the lower their adult incomes, measured in their 30s. A similar income pattern also emerged for whites.
Among both black and white girls, the data showed that increased exposure to harsh environments predicted higher rates of teen pregnancy.
Despite the similarity of results along racial lines, Chicago’s segregation means that far more black children were exposed to harsh environments — in terms of toxicity, violence, and incarceration — harmful to their mental and physical health.
“The least-exposed majority-black neighborhoods still had levels of harshness and toxicity greater than the most-exposed majority-white neighborhoods, which plausibly accounts for a substantial portion of the racial disparities in outcomes,” Manduca said.
“It’s really about trying to understand some of the earlier findings, the lived experience of growing up in a poor and racially segregated environment, and how that gets into the minds and bodies of children.” Robert Sampson
“What this paper shows … is the independent predictive power of harsh environments on top of standard variables,” Sampson said. “It’s really about trying to understand some of the earlier findings, the lived experience of growing up in a poor and racially segregated environment, and how that gets into the minds and bodies of children.”
More like this
Cities’ wealth gap is growing, too
Racial and economic disparities intertwined, study finds
The study isn’t solely focused on the mechanisms of how poverty impacts children; it also challenges traditional notions of what remedies might be available.
“This has [various] policy implications,” Sampson said. “Because when you talk about the effects of poverty, that leads to a particular kind of thinking, which has to do with blocked opportunities and the lack of resources in a neighborhood.
“That doesn’t mean resources are unimportant,” he continued, “but what this study suggests is that environmental policy and criminal justice reform can be thought of as social mobility policy. I think that’s provocative, because that’s different than saying it’s just about poverty itself and childhood education and human capital investment, which has traditionally been the conversation.”
The study did suggest that some factors — like community cohesion, social ties, and friendship networks — could act as bulwarks against harsh environments. Many researchers, including Sampson himself, have shown that community cohesion and local organizations can help reduce violence. But Sampson said their ability to do so is limited.
“One of the positive ways to interpret this is that violence is falling in society,” he said. “Research has shown that community organizations are responsible for a good chunk of the drop. But when it comes to what’s affecting the kids themselves, it’s the homicide that happens on the corner, it’s the lead in their environment, it’s the incarceration of their parents that’s having the more proximate, direct influence.”
Going forward, Sampson said he hopes the study will spur similar research in other cities and expand to include other environmental contamination, including so-called brownfield sites.
Ultimately, Sampson said he hopes the study can reveal the myriad ways in which poverty shapes not only the resources that are available for children, but the very world in which they find themselves growing up.
“Poverty is sort of a catchall term,” he said. “The idea here is to peel things back and ask, What does it mean to grow up in a poor white neighborhood? What does it mean to grow up in a poor black neighborhood? What do kids actually experience?
“What it means for a black child on the south side of Chicago is much higher rates of exposure to violence and lead and incarceration, and this has intergenerational consequences,” he continued. “This is particularly important because it provides a way to think about potentially intervening in the intergenerational reproduction of inequality. We don’t typically think about criminal justice reform or environmental policy as social mobility policy. But maybe we should.”
This research was supported with funding from the Project on Race, Class & Cumulative Adversity at Harvard University, the Ford Foundation, and the Hutchins Family Foundation.
Share this article
You might like.
Experts say tension between trade, green-tech policies hampers climate change advances; more targeted response needed
New book by Nieman Fellow explores pain, frustration in efforts to help loved ones break free of hold of conspiracy theorists
When we don’t listen, we all suffer, says psychologist whose new book is ‘Rebels with a Cause’
Billions worldwide deficient in essential micronutrients
Inadequate levels carry risk of adverse pregnancy outcomes, blindness
You want to be boss. You probably won’t be good at it.
Study pinpoints two measures that predict effective managers
Weight-loss drug linked to fewer COVID deaths
Large-scale study finds Wegovy reduces risk of heart attack, stroke
Mozambique case study shows that poverty is about much more than income
Poverty is often defined by assessing income. But guest bloggers Sam Jones and Inge Tvedten say that using a wider lens can help to understand the social and political mechanisms that help to create and reproduce poverty.
Buying vegetables in Quelimane market in Mozambique (Photo: ILRI/Mann, Creative Commons via Flickr)
What does it mean to be poor? On the face of it, this may not sound like a very difficult question. In developed countries, almost all official and everyday definitions refer to poverty in income terms. In this sense, low consumption power (income) and poverty are essentially synonymous.
Outside of developed countries, a similar view of poverty frequently gets headlines. In its global comparisons, the World Bank has adopted the (in)famous poverty line of US$1.90 a day . So, people with daily real incomes below this amount form part of the global poor – thankfully, now a diminishing group.
One might dispute exactly how and where such a poverty line should be set. But the idea that being poor means not having an adequate income often seems uncontroversial.
Of course, among academics things are rarely so settled. Between economists, there is disagreement about whether poverty should be measured only in monetary terms. In other areas of social science, there is a tradition of scepticism that suggests standard quantitative definitions of poverty can be misleading .
I feel I am shouting in a room of deaf people. The extreme poverty line is set too low for many urban contexts. Look at what most informal settlement dwellers have to pay on rent, water, toilet use, fuel, transport, health care, keeping kids at school….. — David Satterthwaite (@Dsatterthwaite) October 17, 2018
Representing poverty as a kind of well-defined objective condition, like an infectious disease, focuses attention on the symptoms and immediate consequences of poverty. It risks diverting attention away from the underlying structural causes and diverse experiences of the poor.
Challenging official narratives
In a recent paper we explore contrasting views of wellbeing in Mozambique. Our interest reflects the country’s controversial track record. From the early 1990s until recently, Mozambique achieved one of the strongest sustained periods of aggregate economic growth of any country. Yet some argue this growth has largely not trickled down, leaving many behind.
Official poverty estimates undertaken by the government are of the classic quantitative or economic kind. Here a set of basic needs is identified and costed. Households consuming goods worth less than the cost of a minimal basket are deemed to be “poor”. Applying this definition, data from national surveys shows consumption poverty has declined over the past two decades at a steady, but not especially rapid, pace.
Today, almost half of all Mozambicans continue to live in absolute poverty. There are also large spatial gaps in wellbeing. For example, there is much lower poverty in the south of the country, around the capital city, reflecting widening levels of consumption inequality.
To provide perspective on this official narrative, a range of bottom-up studies of poverty , including our own, have been conducted by anthropologists in different parts of the country. These diverge in both form and content from the economic approach.
Indeed, the very starting point of this research has been distinctive. The intention was not to apply a pre-given or conceptually static definition of poverty, from which a count of the poor could proceed. Instead it was to probe local perspectives on wellbeing, the diverse forms of disadvantage, and the kinds of social relations in which disadvantage arises.
A main finding that emerges from the anthropological work is that we cannot see the poor without seeing the better-off. Local grammars of poverty – namely, the terms used to describe who are better- or worse-off – consistently distinguish between socially marginalised individuals and those with strong local social connections.
Perceptions of deprivation do highlight material deficiencies, such as a lack of food or clothes. But social relationships are vital to cope with vulnerability (shocks) and to facilitate social mobility. Being poor is intimately connected to one’s perceived “position” in a wider society and, through this, one’s scope for upward movement.
Self-reinforcing disadvantage
The anthropological view highlights the complex and often fairly localised ways in which the powerful, sometimes politically-connected, hoard opportunities for development. This reinforces existing divides and limits the social and economic mobility of the most disadvantaged.
For instance, the National District Development Fund in Niassa, Mozambique’s northern province, was seen as a main source of money for investment in (rural) economic activities. Formally, in allocating the funds, priority was to be given to agriculture rather than businesses, women rather than men, and associations rather than individuals.
But we found that the funds had been systematically co-opted by local influentes . These included traditional authorities, male entrepreneurs and the governing party elite through an intricate system of social relations of exclusion and bribes.
Other vignettes from the lives of the poor point to the diverse mechanisms through which disadvantage is reproduced. This is often linked to specific cultural practices that empower certain groups above others. They also point to the self-reinforcing nature of social and economic disadvantage.
For example, we met a single mother who had lost large parts of her harvest to drought two years in a row. She had struggled hard to put all her three children to school, but with no crops to sell and no well-placed family to support her, she could no longer pay the bribes necessary for her children to move up classes.
We also encountered instances where people cut themselves off from vital relationships to avoid exposing themselves to the embarrassment of having failed and so as to preserve their dignity.
Making sense of disciplinary divides
How can we make sense of different disciplinary perspectives on poverty? On the one hand, it is tempting to seek some reconciliation. Surely, metrics of social capital or even subjective wellbeing can be added to existing measures of consumption power to provide a more complete characterisation of the poor? Or perhaps qualitative follow-ups among the consumption poor could be used to add local context?
Certainly, combined qualitative-quantitative approaches to poverty research have become popular and often yield richer insights than any one method on its own. Yet, as we elaborate in our paper, this somewhat misses the point.
There are fundamental philosophical differences between standard quantitative (economic) and qualitative (anthropological) traditions, which do not admit any easy fusion. These include differences in understandings about the form of social reality, what can be known about poverty, and how poverty is produced and reproduced.
For this reason, it is vital to allow separate and diverse perspectives on poverty to flourish. Each methodological approach has distinct strengths, limitations and policy uses.
The economic approach is essential to track economic progress over time on a consistent basis and identify households at greatest risk of consumption poverty (for example, to target social policy). But to uncover – and even resist – the inherently relational and often political ways in which poverty emerges and is reproduced requires a deeper, local, ethnographic touch.
This article is republished from The Conversation under a Creative Commons license. Read the original article .
About the author
Sam Jones is a research fellow at United Nations University .
Inge Tvedten is an anthropologist and senior researcher at Chr. Michelsen Institute .
- All insights
- About IIED insights
- CC BY-NC-ND 4.0
Further reading
Incentives for coastal conservation and fisheries management
January 2024 - March 2027
Reframing infrastructure, reshaping development
China's urbanisation conundrum: balancing economic growth and human wellbeing
Is China’s rate of urbanisation too fast or too slow?
- News and insight
- Our approach
- Publications
- Climate change
- Biodiversity
- Natural resource management
- Food and agriculture
- Sustainable markets
- Policy and planning
- Communication
- Monitoring, evaluation and learning
- Land acquisitions and rights
- Drylands and pastoralism
System Publications
The Enduring Challenge of Concentrated Poverty in America: Case Studies from Communities Across the U.S.
by The Federal Reserve System and the Brookings Metropolitan Policy program .
In 2006, the Community Affairs Offices of the Federal Reserve System partnered with the Brookings Institution to examine the issue of concentrated poverty. The resulting report, The Enduring Challenge of Concentrated Poverty in America: Case Studies from Communities Across the U.S. , profiles 16 high-poverty communities from across the country, including immigrant gateway, Native American, urban, and rural communities. Through these case studies, the report contributes to our understanding of the dynamics of poor people living in poor communities, and the policies that will be needed to bring both into the economic mainstream.
In the Richmond Fed District, this special report looks at the factors that give rise to high-poverty neighborhoods in West Greenville, NC and McDowell County, WV and the challenges they face.
Poverty data highlights include:
West Greenville, N.C.:
- The neighborhood poverty rate was more than 40 percent, twice as high as the poverty rate for the Greenville MSA.
- One in five households was headed by a single parent.
- Nearly 60 percent of children lived in poor households.
McDowell County, W.Va.:
- The poverty rate was 38 percent.
- One in every three residents aged 18 to 64 does not have health insurance – the lowest rate of coverage in West Virginia.
- Of the county’s working-age population, 40 percent claimed a disability of some kind.
Additional Resources
The Enduring Challenge of Concentrated Poverty in America
The World Bank Group is committed to fighting poverty in all its dimensions. We use the latest data, evidence and analysis to help countries develop policies to improve people's lives, with a focus on the poorest and most vulnerable.
Around 700 million people live on less than $2.15 per day, the extreme poverty line. Extreme poverty remains concentrated in parts of Sub-Saharan Africa, fragile and conflict-affected areas, and rural areas.
After decades of progress, the pace of global poverty reduction began to slow by 2015, in tandem with subdued economic growth. The Sustainable Development Goal of ending extreme poverty by 2030 remains out of reach.
Global poverty reduction was dealt a severe blow by the COVID-19 pandemic and a series of major shocks during 2020-22, causing three years of lost progress. Low-income countries were most impacted and have yet to recover. In 2022, a total of 712 million people globally were living in extreme poverty, an increase of 23 million people compared to 2019.
We cannot reduce poverty and inequality without also addressing intertwined global challenges, including slow economic growth, fragility and conflict, and climate change.
Climate change is hindering poverty reduction and is a major threat going forward. The lives and livelihoods of poor people are the most vulnerable to climate-related risks.
Millions of households are pushed into, or trapped in, poverty by natural disasters every year. Higher temperatures are already reducing productivity in Africa and Latin America, and will further depress economic growth, especially in the world’s poorest regions.
Eradicating poverty requires tackling its many dimensions. Countries cannot adequately address poverty without also improving people’s well-being in a comprehensive way, including through more equitable access to health, education, and basic infrastructure and services, including digital.
Policymakers must intensify efforts to grow their economies in a way that creates high quality jobs and employment, while protecting the most vulnerable.
Jobs and employment are the surest way to reduce poverty and inequality. Impact is further multiplied in communities and across generations by empowering women and girls, and young people.
Last Updated: Apr 02, 2024
Closing the gaps between policy aspiration and attainment
Too often, there is a wide gap between policies as articulated and their attainment in practice—between what citizens rightfully expect, and what they experience daily. Policy aspirations can be laudable, but there is likely to be considerable variation in the extent to which they can be realized, and in which groups benefit from them. For example, at the local level, those who have the least influence in a community might not be able to access basic services. It is critical to forge implementation strategies that can rapidly and flexibly respond to close the gaps.
Enhancing learning, improving data
From information gathered in household surveys to pixels captured by satellite images, data can inform policies and spur economic activity, serving as a powerful weapon in the fight against poverty. More data is available today than ever before, yet its value is largely untapped. Data is also a double-edged sword, requiring a social contract that builds trust by protecting people against misuse and harm, and works toward equal access and representation.
Investing in preparedness and prevention
The COVID-19 pandemic demonstrated that years of progress in reducing poverty can quickly disappear when a crisis strikes. Prevention measures often have low political payoff, with little credit given for disasters averted. Over time, populations with no lived experience of calamity can become complacent, presuming that such risks have been eliminated or can readily be addressed if they happen. COVID-19, together with climate change and enduring conflicts, reminds us of the importance of investing in preparedness and prevention measures comprehensively and proactively.
Expanding cooperation and coordination
Contributing to and maintaining public goods require extensive cooperation and coordination. This is crucial for promoting widespread learning and improving the data-driven foundations of policymaking. It is also important for forming a sense of shared solidarity during crises and ensuring that the difficult policy choices by officials are both trusted and trustworthy.
Overall, with more than 60 percent of the world’s extreme poor living in middle-income countries, we cannot focus solely on low-income countries if we want to end extreme poverty. We need to focus on the poorest people, regardless of where they live, and work with countries at all income levels to invest in their well-being and their future.
The goal to end extreme poverty works hand in hand with the World Bank Group’s goal to promote shared prosperity. Boosting shared prosperity broadly translates into improving the welfare of the least well-off in each country and includes a strong emphasis on tackling persistent inequalities that keep people in poverty from generation to generation.
Our work at the World Bank Group is based on strong country-led programs to improve living conditions—to drive growth, raise median incomes, create jobs, fully incorporate women and young people into economies, address environmental and climate challenges, and support stronger, more stable economies for everyone.
We continue to work closely with countries to help them find the best ways to improve the lives of their least advantaged citizens.
Last Updated: Oct 17, 2023
How the Pandemic Drove Increases in Poverty | Poverty & Shared Prosperity 2022
Around the bank group.
Find out what the World Bank Group's branches are doing to reduce poverty.
STAY CONNECTED
COVID-19 Dealt a Historic Blow to Poverty Reduction
The 2022 Poverty and Prosperity Report provides the first comprehensive analysis of the pandemic’s toll on poverty in developing countries and of the role of fiscal policy in protecting vulnerable groups.
Umbrella Facility for Poverty and Equity
The Umbrella Facility for Poverty and Equity (UFPE) is the first global trust fund to support the cross-cutting poverty and equity agenda.
IDA: Our Fund for the Poorest
The International Development Association (IDA) aims to reduce poverty by providing funding for programs that boost economic growth.
High-Frequency Monitoring Systems to Track the Impacts of COVID-19
The World Bank and partners are monitoring the crisis and the socioeconomic impacts of COVID-19 through a series of high-frequency phone surveys.
Poverty Podcast
Join us and poverty specialists as we explore the latest data and research on poverty reduction, shared prosperity, and equity around the globe in this new World Bank Group podcast series.
Stepping Up the Fight Against Extreme Poverty
To avert the risk of more backsliding, policymakers must put everything they can into the effort to end extreme poverty.
Additional Resources
This site uses cookies to optimize functionality and give you the best possible experience. If you continue to navigate this website beyond this page, cookies will be placed on your browser. To learn more about cookies, click here .
Numbers, Facts and Trends Shaping Your World
Read our research on:
Full Topic List
Regions & Countries
Publications
- Our Methods
- Short Reads
- Tools & Resources
Read Our Research On:
Key facts about Asian Americans living in poverty
Burmese (19%) and Hmong Americans (17%) were among the Asian origin groups with the highest poverty rates in 2022.
1 in 10: Redefining the Asian American Dream (Short Film)
Of the 24 million Asians living in the United States, about 2.3 million live in poverty. This short film explores their diverse stories and experiences.
The Hardships and Dreams of Asian Americans Living in Poverty
About one-in-ten Asian Americans live in poverty. Pew Research Center conducted 18 focus groups in 12 languages to explore their stories and experiences.
Wealth Surged in the Pandemic, but Debt Endures for Poorer Black and Hispanic Families
About one-in-four Black households and one-in-seven Hispanic households had no wealth or were in debt in 2021, compared with about one-in-ten U.S. households overall.
What the data says about food stamps in the U.S.
The food stamp program is one of the larger federal social welfare initiatives, and in its current form has been around for nearly six decades.
Financial Issues Top the List of Reasons U.S. Adults Live in Multigenerational Homes
Nearly four-in-ten men ages 25 to 29 now live with older relatives.
Most Black Americans say they can meet basic needs financially, but many still experience economic insecurity
Fewer than half of Black adults say they have a three-month emergency fund, and some have taken multiple jobs to make ends meet.
One-in-Ten Black People Living in the U.S. Are Immigrants
Immigrants – particularly those from African nations – are a growing share of the U.S. Black population.
Most Americans support a $15 federal minimum wage
About six-in-ten Americans (62%) say they favor raising the federal minimum wage to $15 an hour, including 40% who strongly back the idea.
In the pandemic, India’s middle class shrinks and poverty spreads while China sees smaller changes
The course of the pandemic in India and China will have a substantial effect on changes in the distribution of income at the global level.
REFINE YOUR SELECTION
- D’Vera Cohn (7)
- Drew DeSilver (7)
- Daniel Dockterman (6)
- Eileen Patten (5)
- Rakesh Kochhar (5)
- Richard Fry (5)
- Seth Motel (4)
- Anna Brown (3)
- Felisa Gonzales (3)
- Gabriel Velasco (3)
- Jens Manuel Krogstad (3)
- Mark Hugo Lopez (3)
- Neil G. Ruiz (3)
- Ziyao Tian (3)
- Adam Nekola (2)
- Antonio Flores (2)
- Gustavo López (2)
- Juliana Menasce Horowitz (2)
- Jynnah Radford (2)
- Shannon Greenwood (2)
- Shirin Hakimzadeh (2)
- Amina Dunn (1)
- B. Lindsey Lowell (1)
- Christine Tamir (1)
- Deja Thomas (1)
- Jodie T. Allen (1)
- Katie Simmons (1)
- Khadijah Edwards (1)
- Kiley Hurst (1)
- Kim Arias (1)
- Kim Parker (1)
- Kristen Bialik (1)
- Mohamad Moslimani (1)
- Monica Anderson (1)
- Paul Taylor (1)
- Pew Research Center Staff (1)
- Rachel Minkin (1)
- Renee Stepler (1)
- Rich Morin (1)
- Roberto Suro (1)
- Tom Rosentiel (1)
Research Teams
- Race and Ethnicity (34)
- Social Trends (19)
- Politics (7)
- Global Migration and Demography (6)
- Religion (5)
- Data Labs (2)
- Internet and Technology (2)
- Journalism (2)
- Methods (2)
- Pew Research Center (2)
- Science (2)
901 E St. NW, Suite 300 Washington, DC 20004 USA (+1) 202-419-4300 | Main (+1) 202-857-8562 | Fax (+1) 202-419-4372 | Media Inquiries
Research Topics
- Email Newsletters
ABOUT PEW RESEARCH CENTER Pew Research Center is a nonpartisan fact tank that informs the public about the issues, attitudes and trends shaping the world. It conducts public opinion polling, demographic research, media content analysis and other empirical social science research. Pew Research Center does not take policy positions. It is a subsidiary of The Pew Charitable Trusts .
© 2024 Pew Research Center
Latest at Reach
Fostering Connections in New York: Youth Leadership and the Power of Global Change
The reach alliance.
Munk School of Global Affairs & Public Policy at the University of Toronto
1 Devonshire Place, Toronto, Ontario, M5S 3K7 Canada
General Inquiries
reachalliance.munk@utoronto.ca
Case Studies
The Reach Alliance is committed to being a prominent hub of inclusive knowledge production. We prioritize knowledge, knowers, and ways of knowing that have been traditionally disengaged and marginalized from ‘legitimate’ academic knowledge. We work with research collaborators to share findings with the global insight community, project implementers, those that contributed to the research, and those that can benefit from the research directly. We do so in ways that amplify the perspectives of those who have historically been left out or silenced in these discussions.
Academic Partner
Research Status
Research year.
Case Study India
Cutting Through the Grass Ceiling: Supporting Women Smallholder Farmers with the Collective Power of Community, Participatory Learning, and Trust
SDG 1 SDG 3 SDG 5 SDG 13
Case Study Rwanda
Increasing Meaningful Financial Inclusion in Rwanda: Community-Based Savings and Credit Co-operative Societies
SDG 10 SDG 1 SDG 8
Case Study Mexico
The “Kolombia Regia”: Social Vindication in the Face of Stigma and Violence in Monterrey
SDG 1 SDG 10 SDG 16 SDG 5
Case Study Chile
Empowering Grassroots Recyclers in Chile: Asociación Nacional de Recicladores de Chile (ANARCH)
SDG 12 SDG 11 SDG 1 SDG 8
Case Study Colombia
Semillas de Apego: Nurturing Resilience in Colombia’s Youngest Amid Conflict and Displacement
SDG 11 SDG 16 SDG 1 SDG 3
Struggle and Resilience of Migrant Indigenous Communities in Irregular Settlements in Mexico
SDG 1 SDG 8 SDG 10 SDG 11
Expanding Access to Justice Through Community-Based Paralegals in New Delhi and Assam
SDG 1 SDG 5 SDG 8 SDG 10 SDG 16
Case Study Thailand
M Fund – a migrant micro insurance program
SDG 1 SDG 3 SDG 10
Case Study Kenya
Left Behind: The Socioeconomic Barriers to Last-Mile Mobile Money Access in Kenya
SDG 1 SDG 8 SDG 10
Providing Urban Amenities to Rural Areas: Addressing Rural Poverty in India
SDG 1 SDG 10
Case Study Ethiopia
Ethiopia’s Productive Safety Net Programme: Addressing Food Insecurity with Food and Cash Transfers
SDG 1 SDG 2 SDG 10
Case Study Jordan
UNHCR Jordan’s Biometric Cash Assistance Program for Syrian Refugees
Mozambique case study shows that poverty is about much more than income
Research Fellow, World Institute for Development Economics Research (UNU-WIDER), United Nations University
Anthropologist and senior researcher, Chr. Michelsen Institute
Disclosure statement
The authors do not work for, consult, own shares in or receive funding from any company or organisation that would benefit from this article, and have disclosed no relevant affiliations beyond their academic appointment.
United Nations University provides funding as a member of The Conversation UK.
View all partners
What does it mean to be poor? On the face of it, this may not sound like a very difficult question. In developed countries, almost all official and everyday definitions refer to poverty in income terms. In this sense, low consumption power (income) and poverty are essentially synonymous.
Outside of developed countries, a similar view of poverty frequently gets headlines. In its global comparisons, the World Bank has adopted the (in)famous poverty line of US$1.90 a day . So, people with daily real incomes below this amount form part of the global poor – thankfully, now a diminishing group.
One might dispute exactly how and where such a poverty line should be set. But the idea that being poor means not having an adequate income often seems uncontroversial.
Of course, among academics things are rarely so settled. Between economists, there is disagreement about whether poverty should be measured only in monetary terms. In other areas of social science, there is a tradition of scepticism that suggests standard quantitative definitions of poverty can be misleading .
Representing poverty as a kind of well-defined objective condition, like an infectious disease, focuses attention on the symptoms and immediate consequences of poverty. It risks diverting attention away from the underlying structural causes and diverse experiences of the poor.
Challenging official narratives
In a recent paper we explore contrasting views of well-being in Mozambique. Our interest reflects the country’s controversial track record. From the early 1990s until recently, Mozambique achieved one of the strongest sustained periods of aggregate economic growth of any country. Yet some argue this growth has largely not trickled down, leaving many behind.
Official poverty estimates undertaken by the government are of the classic quantitative or economic kind. Here a set of basic needs is identified and costed. Households consuming goods worth less than the cost of a minimal basket are deemed to be “poor”. Applying this definition, data from national surveys shows consumption poverty has declined over the past two decades at a steady, but not especially rapid, pace.
Today, almost half of all Mozambicans continue to live in absolute poverty. There are also large spatial gaps in well-being. For example, there is much lower poverty in the south of the country, around the capital city, reflecting widening levels of consumption inequality.
To provide perspective on this official narrative, a range of bottom-up studies of poverty , including our own, have been conducted by anthropologists in different parts of the country. These diverge in both form and content from the economic approach.
Indeed, the very starting point of this research has been distinctive. The intention was not to apply a pre-given or conceptually static definition of poverty, from which a count of the poor could proceed. Instead it was to probe local perspectives on well-being, the diverse forms of disadvantage, and the kinds of social relations in which disadvantage arises.
A main finding that emerges from the anthropological work is that we cannot see the poor without seeing the better-off. Local grammars of poverty – namely, the terms used to describe who are better- or worse-off – consistently distinguish between socially marginalised individuals and those with strong local social connections.
Perceptions of deprivation do highlight material deficiencies, such as a lack of food or clothes. But social relationships are vital to cope with vulnerability (shocks) and to facilitate social mobility. Being poor is intimately connected to one’s perceived “position” in a wider society and, through this, one’s scope for upward movement.
Self-reinforcing disadvantage
The anthropological view highlights the complex and often fairly localised ways in which the powerful, sometimes politically-connected, hoard opportunities for development. This reinforces existing divides and limits the social and economic mobility of the most disadvantaged.
For instance, the National District Development Fund in Niassa, Mozambique’s northern province, was seen as a main source of money for investment in (rural) economic activities. Formally, in allocating the funds, priority was to be given to agriculture rather than businesses, women rather than men, and associations rather than individuals.
But we found that the funds had been systematically co-opted by local influentes . These included traditional authorities, male entrepreneurs and the governing party elite through an intricate system of social relations of exclusion and bribes.
Other vignettes from the lives of the poor point to the diverse mechanisms through which disadvantage is reproduced. This is often linked to specific cultural practices that empower certain groups above others. They also point to the self-reinforcing nature of social and economic disadvantage.
For example, we met a single mother who had lost large parts of her harvest to drought two years in a row. She had struggled hard to put all her three children to school, but with no crops to sell and no well-placed family to support her, she could no longer pay the bribes necessary for her children to move up classes. We also encountered instances where people cut themselves off from vital relationships to avoid exposing themselves to the embarrassment of having failed and so as to preserve their dignity.
Making sense of disciplinary divides
How can we make sense of different disciplinary perspectives on poverty? On the one hand, it is tempting to seek some reconciliation. Surely, metrics of social capital or even subjective well-being can be added to existing measures of consumption power to provide a more complete characterisation of the poor? Or perhaps qualitative follow-ups among the consumption poor could be used to add local context?
Certainly, combined qualitative-quantitative approaches to poverty research have become popular and often yield richer insights than any one method on its own. Yet, as we elaborate in our paper, this somewhat misses the point.
There are fundamental philosophical differences between standard quantitative (economic) and qualitative (anthropological) traditions, which do not admit any easy fusion. These include differences in understandings about the form of social reality, what can be known about poverty, and how poverty is produced and reproduced.
For this reason, it is vital to allow separate and diverse perspectives on poverty to flourish. Each methodological approach has distinct strengths, limitations and policy uses.
The economic approach is essential to track economic progress over time on a consistent basis and identify households at greatest risk of consumption poverty (for example, to target social policy). But to uncover – and even resist – the inherently relational and often political ways in which poverty emerges and is reproduced requires a deeper, local, ethnographic touch.
Bringing these different perspectives into a meaningful dialogue with each other remains the next challenge.
- Southern Africa
- Peacebuilding
- Poverty2021
Service Centre Senior Consultant
Director of STEM
Community member - Training Delivery and Development Committee (Volunteer part-time)
Chief Executive Officer
Head of Evidence to Action
- DOI: 10.1007/978-3-319-71058-7_31-1
- Corpus ID: 243236271
Poverty Reduction: Concept, Approaches, and Case Studies
- Published in Encyclopedia of the UN… 8 November 2020
- Economics, Sociology
One Citation
The effect of rural development on poverty gap, poverty severity and local economic growth in indonesia, 21 references, poverty alleviation with economic growth strategy: prospects and challenges in contemporary nigeria, political space, pro-poor growth and poverty reduction strategy in honduras, poverty reduction within the framework of sdgs and post-2015 development agenda, the poverty reduction strategy initiative : findings from 10 country case studies of world bank and imf support, poverty reduction strategy papers: a new convergence, the prsp approach and the illusion of improved aid effectiveness: lessons from bolivia, honduras and nicaragua.
- Highly Influential
The Road to Dignity by 2030: Ending Poverty, Transforming All Lives and Protecting the Planet
The macro content of prsps: assessing the need for a more flexible macroeconomic policy framework, recombinant workfare, across the americas: transnationalizing “fast” social policy, in search of the post-washington (dis)consensus: the ‘missing’ content of prsps, related papers.
Showing 1 through 3 of 0 Related Papers
- Getting Published
- Open Research
- Communicating Research
- Life in Research
- For Editors
- For Peer Reviewers
- Research Integrity
China and SDG1: Efforts to alleviate poverty – a case study
Author: guest contributor.
Professor Xiaolin Wang, dean and professor at Fudan University, explores how China can be used as a case study for poverty alleviation efforts elsewhere and working towards achieving the aims of SDG1.
Could you share a brief overview of your book series? What were you hoping to achieve?
After attending the Rio+20 Conference (refer to United Nations Conference on Sustainable Development) in 2012, I realized there were still various challenges that need to be overcome before achieving the Millennium Development Goals, and that poverty and inequality continue to be the main issues developing countries need and have to face. Although the development experience from developed countries is precious, the new challenges of the current era caused by climate change, new technological revolution etc., are tremendous. Thus, it is difficult to solve the poverty problem in developing countries by following the experience of developed countries. China, as the largest developing country in the world, has made many new attempts and strategies in poverty reduction. Hopefully, these practical experiences could add value to other developing countries on poverty reduction.
How have you worked directly to address SDG1: No Poverty and how do this series contribute to this goal?
I believe that the quality of a country’s economic growth is one of the most crucial things for addressing SDG1. That’s why the theme of the first book of this series is about the quality of the economic growth and poverty reduction of China.
In my perspective, in fact, there are three pillars to promote poverty reduction in one country: the pro-poor economic growth, the inclusiveness of social development and multidimensional poverty alleviation and development. Relying only on income support plans cannot achieve the goal of poverty eradication. The public policy should promote this kind of growth, this is first pillar. The impoverished population benefits from economic growth above the average level of society, which is known as pro-poor economic growth. Meanwhile, poor people have more equitable access to public services, such as, education, health, and employment. The second pillar therefore, is inclusive social development. The third pillar is the delivery of multi-dimension targeted poverty alleviation.
The framework for integrating this book series is based on the above three pillars of public policies for poverty reduction. Under this framework, this book series includes the practice of targeted poverty alleviation in China.
I hope this book series could pass on a relatively logical and theoretical framework of the poverty governance knowledge system, which have been tested practically in China.
What is your motivation to focus your research and edit a book series on this particular topic? Is there a personal or professional reason that raised your interest?
This book series reflects my working experience for the last 25 years. The first time I realized a huge knowledge gap in poverty alleviation was at the age of 28 when I took charge of the investment estimation work for Western China’s poverty alleviation project by the World Bank. At that time, I was keen on finding well-edited poverty reduction books that combined theories, methods and practical operations. Unfortunately, there were minimal materials that could fit my requirements. Thus, I started to think about why I did not do poverty reduction-related research by myself and then edited such a book.
When the time came to 2006, I joined the Social Policy Division of UNICEF China Office and started researching child development and the national financial budget. In 2009, I went on a research visit on multidimensional poverty measure approach to the Oxford Poverty and Human Development Initiative (OPHI), where I read a lot of poverty related literature, including professor Amartya Sen’s great works, whose theory of welfare economics greatly expanded my understanding of poverty. Between 2009 to 2017, I worked at the International Poverty Reduction Center in China (IPRCC) and the State Council Poverty Alleviation and Development Office of China for 8 years, participating in the formulation of some poverty reduction policies by the Chinese government.
Could you share your thoughts on the future of poverty reduction efforts both in China and on a global scale? What trends or developments do you anticipate in this field in the coming years?
China has worked hard to alleviate absolute poverty and aims to alleviate relative poverty and narrow the uneven development by implementing national rural revitalization and regional balanced development strategies. There are of course numerous challenges we have to face in alleviating poverty globally, with conflict, the digital divide, platform monopoly, climate change, etc., which may lead to large-scale poverty returning for human society.
In your perspective, how can we contribute to addressing real-world issues like poverty in the Global South, and how has your series and its books aimed to bridge the gap between research and practical solutions?
To address real-world issues and achieve the goals of SDGs, there are three necessary things that need to be done. First, governments should consolidate consensus on addressing global poverty and other development goals of SDGs. Secondly, it should establish more inclusive partnerships and thus raise funds for the development goal. Lastly, guiding digital technology and digital platforms to become more inclusive and encouraging the digital technology to promote inclusive solutions.
It is essential for the Global South to build unique knowledge systems based on their national conditions and international development experience. Secondly, it is necessary for countries belonging to the Global South to strengthen their relationship by sharing experience and knowledge, especially on the aspect of poverty reduction and development. Last but not least, as this book series is an open series, we hope it could include more research and information on poverty reduction from Africa, South Asia, Latin America etc., in the near future.
Why did you choose to publish this book series with Springer Nature? What did you enjoy the most when you work with Springer Nature?
The main reason for choosing Springer is due to its power of international influence and communication. This book series focuses on global poverty reduction, so I hope it could be shared in various countries worldwide. I believe this book series could be helpful for government officers, NGOs, universities and research institutions in low and middle-income countries.
About the author
Dr WANG Xiaolin is the Deputy Dean and professor of the Institute for Six-sector Economy, Fudan University, professor of the School of International Relations and Public Affairs, Fudan University. He is the Executive Director of Shanghai (Fudan University) Institute for Cooperation and Development, a member of the Shanghai Municipal Government Cooperation and Exchange Expert Committee, Deputy Secretary-General of the China Soft Science Research Association, executive director of China Rural Development Research Association, and special expert of Shaanxi Province. He also serves as an advisory expert for the United Nations Office for South-South Cooperation, the United Nations World Food Programme and other international organizations. He was a former member of the Expert Advisory Committee of the Leading Group on Poverty Alleviation and Development of the State Council, P. R. China.
Guest Contributors include Springer Nature staff and authors, industry experts, society partners, and many others. If you are interested in being a Guest Contributor, please contact us via email: [email protected] .
- SN SDG Programme
- Open science
- Tools & Services
- Account Development
- Sales and account contacts
- Professional
- Press office
- Locations & Contact
We are a world leading research, educational and professional publisher. Visit our main website for more information.
- © 2024 Springer Nature
- General terms and conditions
- Your US State Privacy Rights
- Your Privacy Choices / Manage Cookies
- Accessibility
- Legal notice
- Help us to improve this site, send feedback.
Mental health effects of poverty, hunger, and homelessness on children and teens
Rising inflation and an uncertain economy are deeply affecting the lives of millions of Americans, particularly those living in low-income communities. It may seem impossible for a family of four to survive on just over $27,000 per year or a single person on just over $15,000, but that’s what millions of people do everyday in the United States. Approximately 37.9 million Americans, or just under 12%, now live in poverty, according to the U.S. Census Bureau .
Additional data from the Bureau show that children are more likely to experience poverty than people over the age of 18. Approximately one in six kids, 16% of all children, live in families with incomes below the official poverty line.
Those who are poor face challenges beyond a lack of resources. They also experience mental and physical issues at a much higher rate than those living above the poverty line. Read on for a summary of the myriad effects of poverty, homelessness, and hunger on children and youth. And for more information on APA’s work on issues surrounding socioeconomic status, please see the Office of Socioeconomic Status .
Who is most affected?
Poverty rates are disproportionately higher among most non-White populations. Compared to 8.2% of White Americans living in poverty, 26.8% of American Indian and Alaska Natives, 19.5% of Blacks, 17% of Hispanics and 8.1% of Asians are currently living in poverty.
Similarly, Black, Hispanic, and Indigenous children are overrepresented among children living below the poverty line. More specifically, 35.5% of Black people living in poverty in the U.S. are below the age of 18. In addition, 40.7% of Hispanic people living below the poverty line in the U.S. are younger than age 18, and 29.1% of American Indian and Native American children lived in poverty in 2018. In contrast, approximately 21% of White people living in poverty in the U.S. are less than 18 years old.
Furthermore, families with a female head of household are more than twice as likely to live in poverty compared to families with a male head of household. Twenty-three percent of female-headed households live in poverty compared to 11.4% of male-headed households, according to the U.S. Census Bureau .
What are the effects of poverty on children and teens?
The impact of poverty on young children is significant and long lasting. Poverty is associated with substandard housing, hunger, homelessness, inadequate childcare, unsafe neighborhoods, and under-resourced schools. In addition, low-income children are at greater risk than higher-income children for a range of cognitive, emotional, and health-related problems, including detrimental effects on executive functioning, below average academic achievement, poor social emotional functioning, developmental delays, behavioral problems, asthma, inadequate nutrition, low birth weight, and higher rates of pneumonia.
Psychological research also shows that living in poverty is associated with differences in structural and functional brain development in children and adolescents in areas related to cognitive processes that are critical for learning, communication, and academic achievement, including social emotional processing, memory, language, and executive functioning.
Children and families living in poverty often attend under-resourced, overcrowded schools that lack educational opportunities, books, supplies, and appropriate technology due to local funding policies. In addition, families living below the poverty line often live in school districts without adequate equal learning experiences for both gifted and special needs students with learning differences and where high school dropout rates are high .
What are the effects of hunger on children and teens?
One in eight U.S. households with children, approximately 12.5%, could not buy enough food for their families in 2021 , considerably higher than the rate for households without children (9.4%). Black (19.8%) and Latinx (16.25%) households are disproportionately impacted by food insecurity, with food insecurity rates in 2021 triple and double the rate of White households (7%), respectively.
Research has found that hunger and undernutrition can have a host of negative effects on child development. For example, maternal undernutrition during pregnancy increases the risk of negative birth outcomes, including premature birth, low birth weight, smaller head size, and lower brain weight. In addition, children experiencing hunger are at least twice as likely to report being in fair or poor health and at least 1.4 times more likely to have asthma, compared to food-secure children.
The first three years of a child’s life are a period of rapid brain development. Too little energy, protein and nutrients during this sensitive period can lead to lasting deficits in cognitive, social and emotional development . School-age children who experience severe hunger are at increased risk for poor mental health and lower academic performance , and often lag behind their peers in social and emotional skills .
What are the effects of homelessness on children and teens?
Approximately 1.2 million public school students experienced homelessness during the 2019-2020 school year, according to the National Center for Homeless Education (PDF, 1.4MB) . The report also found that students of color experienced homelessness at higher proportions than expected based on the overall number of students. Hispanic and Latino students accounted for 28% of the overall student body but 38% of students experiencing homelessness, while Black students accounted for 15% of the overall student body but 27% of students experiencing homelessness. While White students accounted for 46% of all students enrolled in public schools, they represented 26% of students experiencing homelessness.
Homelessness can have a tremendous impact on children, from their education, physical and mental health, sense of safety, and overall development. Children experiencing homelessness frequently need to worry about where they will live, their pets, their belongings, and other family members. In addition, homeless children are less likely to have adequate access to medical and dental care, and may be affected by a variety of health challenges due to inadequate nutrition and access to food, education interruptions, trauma, and disruption in family dynamics.
In terms of academic achievement, students experiencing homelessness are more than twice as likely to be chronically absent than non-homeless students , with greater rates among Black and Native American or Alaska Native students. They are also more likely to change schools multiple times and to be suspended—especially students of color.
Further, research shows that students reporting homelessness have higher rates of victimization, including increased odds of being sexually and physically victimized, and bullied. Student homelessness correlates with other problems, even when controlling for other risks. They experienced significantly greater odds of suicidality, substance abuse, alcohol abuse, risky sexual behavior, and poor grades in school.
What can you do to help children and families experiencing poverty, hunger, and homelessness?
There are many ways that you can help fight poverty in America. You can:
- Volunteer your time with charities and organizations that provide assistance to low-income and homeless children and families.
- Donate money, food, and clothing to homeless shelters and other charities in your community.
- Donate school supplies and books to underresourced schools in your area.
- Improve access to physical, mental, and behavioral health care for low-income Americans by eliminating barriers such as limitations in health care coverage.
- Create a “safety net” for children and families that provides real protection against the harmful effects of economic insecurity.
- Increase the minimum wage, affordable housing and job skills training for low-income and homeless Americans.
- Intervene in early childhood to support the health and educational development of low-income children.
- Provide support for low-income and food insecure children such as Head Start , the National School Lunch Program , and Temporary Assistance for Needy Families (TANF) .
- Increase resources for public education and access to higher education.
- Support research on poverty and its relationship to health, education, and well-being.
- Resolution on Poverty and SES
- Pathways for addressing deep poverty
- APA Deep Poverty Initiative
Community Developments
The outreach blog : from the field.
Poverty in India: Real-Life Consequences & Sustainable Solutions
Over the last several decades, India has become one of the fastest growing economies in the world. But even with this impressive progress, poverty in India continues to be an enormous problem. A small percentage of people in India have benefitted from this growth, while the vast majority still struggle to meet their basic daily needs. This inequity is exacerbated by a long-standing social caste system in India that disproportionately affects women and children.
In this blog post, we’ll explain the complex causes of poverty in India, the consequences it has on so many of its people, and the work Outreach International is doing to help people lift themselves out of poverty, and into a life of prosperity and hope.
Understanding the Causes of Poverty in India
Poverty in India is a result of various overlapping factors , spanning a long history of social and economic issues. The social issues include a caste system that causes inequity among the citizens of India. People who are born into certain socioeconomic groups or ethnicities can find it more difficult than others to access education, healthcare, and employment opportunities. Economic issues include a history of financial pressure from foreign countries which makes the economy of India sensitive to external markets which are beyond its control.
Outreach Project: Sumita accessed an Usha School Program sewing machine from Outreach’s Program Partner, Outreach India, in Feb, 2023.
Statistics and Facts
- The September 2023 Global Poverty Update by the World Bank revealed that at the $3.65 poverty line, India accounts for 40% of the global poverty rate of 24.1%. ( The World Bank )
- Over a third of all people living in poverty in the world live in South Asia, which amounts to roughly 389 million people. ( The World Bank )
- In South Asia, the rate of extreme poverty, measured by the international poverty line of $2.15, increased by 1.9 percentage points to 10.5%. India accounts for almost 70% of this global change in extreme poverty. ( The World Bank )
- Between 2012 and 2021, 40% of the wealth created in India has been captured by just the wealthiest 1% of the population. ( BBC )
Factors Contributing to Poverty in India
The complex causes of poverty in India lead to equally complex factors that perpetuate the problem. These include:
Limited Access to Education
Despite making strides in improving literacy rates in general, access to adequate education remains out of reach for many groups in India, especially for those who live in remote areas.
Unemployment and Underemployment
The uneven distribution of economic growth creates limited job opportunities in many geographic areas, especially among young people who are actively seeking employment.
Inadequate Healthcare Infrastructure
The healthcare that the government provides for people who live in poverty in India is inadequate in many geographic areas. Serious health issues, often related to childbirth, can go undertreated, leading to overwhelming debt and feelings of hopelessness.
Social Inequality
Discrimination based on social caste, gender, and ethnicity make it harder for marginalized groups to experience basic socio-economic advancement. This creates a cycle of poverty that passes these issues on to the next generation.
Outreach Project: A new 4G cell tower benefits Sumita and everyone in Khambesu Village.
Historical, Economic, and Social Factors of Poverty in India
India has dealt with a long history of colonization that led to the export of wealth and resources for generations. Although this issue is a part of India’s past, the legacy of uneven trade continues to put financial pressure on India’s poorest citizens. Also, like many economies of the world, social disparity makes it almost impossible for people who live in poverty to climb out of it alone.
The Cost of Poverty in India
The consequences of poverty in India are profound and far-reaching. These include:
Unequal Distribution of Wealth and Resources
The concentration of wealth among a small percentage of the population of India limits access to essential resources and opportunities for the majority of its citizens. According to the Harvard Business Review , the wealthiest 10% of people in India hold 77% of the nation’s wealth. It also states that as of 2023, there were 119 billionaires in India, whose wealth continues to grow at disproportionate rates.
Barriers to Receiving Healthcare
The social healthcare system in India ranks very low among other countries. Expert care and the most advanced treatments remain expensive, and so only those who can afford it have access to it. Those who live in poverty sometimes have to make the choice between health or debt. This can be especially difficult when it comes to the health of their children. This lack of access to quality healthcare is evident in the relatively high infant mortality rates .
Outreach International’s Impact in India: Community-Led Solutions to Change this Reality
It can be nearly impossible for people who live in poverty to solve their issues alone. Outreach International works tirelessly to empower people to help themselves. Our partners at Outreach India bring community groups together to learn to identify their unique poverty-related issues, and then mobilize to solve them.
Many people who live in remote areas in India must deal with a lack of adequate infrastructure. This means that there may be no central power grid, or regional sewage and water treatment system. People who live under these conditions must spend much time and effort fulfilling their basic daily needs. But with the help of Outreach facilitators, solutions can be found.
Solar Water Systems
Until 2010, the citizens of Nandibadi had to walk a kilometer each day to collect water from a river. That year, they had a single spout well installed, which was considered a significant improvement at the time. Even then, however, people had to wait in line and take turns using the hand pump from what was their only water source. With the help of Outreach facilitators, they had a solar-powered water well and storage system installed. This improvement not only made life easier, but it freed up large amounts of time for people to spend making progress in other areas of their lives. ( Read about the Nandibadi Solar Water System )
Solar Street Lights
In Lelibadi, people stayed home after dark because of fear of predatory animals and the possibility of crime. There were no streetlights or electric grid to power them. The community-based organization mobilized to have streetlights installed, each powered by an individual solar panel. Now, the nights are brighter, and the community can gather together, socialize, and travel safely. ( Read about the Lelibadi Solar Street Lights )
Safe Sanitation
Safe sanitation is a crucial factor in the health and wellbeing of a community. Illness from contaminated drinking water and unpleasant surroundings due to a lack of a sanitation system in a community would make life difficult for anyone. Community leaders in Kurumpeta successfully managed a latrine construction project that solved their sanitation issues. ( Read about Solving the Sanitation Crisis )
Disability Inclusion
In Kunjibadi Village, Naika lost his leg in a road accident in 2016. This left him and his wife dependent on her income alone, which placed them well below the poverty line. With help from Outreach India, Naika learned that he was eligible for disability benefits. He prepared his documentation, visited the government offices, and now receives benefits that cover basic daily needs for the family. Naika and his wife feel empowered, and able to look to the future with hope. ( Read about Disability Inclusion in Community-Led Development )
Help Outreach Break the Cycle of Poverty in india
Usha will finish school soon and hopes to work for the government so she can help people.
How to Help
Poverty in India is a multifaceted and pervasive issue that affects millions of people. By understanding its root causes, addressing its consequences, and supporting initiatives that promote socio-economic empowerment, we can all help India find truly equitable prosperity.
Make your donation to support our life-saving work today.
Share This Post
Related posts, the digital divide in education: bridging the gap for equal learning opportunities.
Clean Water and Sanitation: Our Strategies and Community-Led Solutions
Five Digital Savings Groups in Cambodia
Poverty Reduction: Concept, Approaches, and Case Studies
- Living reference work entry
- First Online: 10 January 2020
- Cite this living reference work entry
- Yakubu Aliyu Bununu 7
Part of the book series: Encyclopedia of the UN Sustainable Development Goals ((ENUNSDG))
290 Accesses
Definitions
Poverty is universally measured in monetary expenditure terms, and individuals that are considered poor are those living on less than US$1.25 per day. Poverty is however multifaceted as it includes the multitude of lack and deprivations that poor people are subjected to in their lives on a daily basis. These include but are not limited to disease and poor health conditions, illiteracy and lack of access to education, appalling living conditions, lack of access to economic opportunity and disempowerment, underemployment, vulnerability to violence, and exposure to hazardous environmental conditions (OPHI 2019 ). Thus, poverty reduction can be considered as the improvement of an individual’s or group’s monetary expenditure to an amount above the poverty line while improving access to education, healthcare, information, economic opportunities security of land-tenure, and all the other deprivations associated with it.
Introduction
The eradication of poverty is perhaps the only...
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Institutional subscriptions
Craig D, Porter D (2003) Poverty reduction strategy papers: a new convergence. World Dev 31(1):53–69
Article Google Scholar
Crawford G, Abdulai A-G (2009) The World Bank and Ghana’s poverty reduction strategies: strengthening the state or consolidating neoliberalism? Labour Cap Soc 42(1 & 2):82
Google Scholar
Cuesta J (2007) Political space, pro-poor growth, and poverty reduction strategy in Honduras: a story of missed opportunities. J Lat Am Stud 39:329–354
Dijkstra G (2005) The PRSP approach and the illusion of improved aid effectiveness: lessons from Bolivia, Honduras and Nicaragua. Dev Policy Rev 23(4): 443–464
Gottschalk R (2005) The macro content of PRSPs: assessing the need for a more flexible macroeconomic framework. Dev Policy Rev 23(4):419–443
IMF (2006) Cambodia: poverty reduction strategy paper. International Monetary Fund country report no. 06/266. International Monetary Fund, Washington, DC
IMF (2010) Nicaragua: poverty reduction strategy paper. International Monetary Fund country report no. 10/108. International Monetary Fund, Washington, DC
International Development Association (IDA) and International Monetary Fund (IMF) (2000a) Decision point document for the enhanced heavily indebted poor country initiative: Nicaragua. World Bank, Washington, DC
International Development Association (IDA) and International Monetary Fund (IMF) (2000b) Decision Point document for the enhanced heavily indebted poor country (HIPC) initiative: Honduras. World Bank, Washington, DC
IPCC (2014) Climate change 2014: impacts, adaptation, and vulnerability. Cambridge University Press, Cambridge/New York
Kingdom of Cambodia (2004) Cambodia National Poverty Reduction Strategy progress report. International Monetary Fund Country Report No. 06/266. International Monetary Fund Publication Services, Washington DC
Liu Q, Yu M, Wang X (2015) Poverty reduction within the framework of SDGs and post-2015 development agenda. Adv Clim Chang Res 6(2015):67–73. https://doi.org/10.1016/j.accre.2015.09.004
National Social Investment Office (NSIO) (2018) Investing in our people: a brief on the National Social Investment Programmes in Nigeria. National Social Investment Office, The Presidency, Abuja
OECD (Organization for Economic Co-operation and Development) (2014) Poverty and climate change: reducing the vulnerability of the poor through adaptation. http://www.oecd.org/environment/cc/2502872.pdf
Ogwumike FO (1987) Poverty and basic needs: an approach to development in Nigeria. Unpublished PhD thesis, Department of Economics, University of Ibadan
Ogwumike FO (1995) The effects of macro-level government policies on rural development and poverty alleviation in Nigeria. Ib J Soc Sci 1(1):85–101
Ogwumike FO (1998) Poverty alleviation strategies in Nigeria. In: Measuring and monitoring poverty in Nigeria, Proceedings of the seventh annual conference of the Zonal Research Units of the Central Bank of Nigeria, Abuja, Nigeria
Ogwumike FO (2001) An appraisal of poverty reduction strategies in Nigeria. Cent Bank Nigeria Econ Financ Rev 39(4):45–71. Central Bank of Nigeria
Ogwumike FO, Aromolaran AB (2000) Poverty dynamics in Nigeria. In: Proceedings of the seventh annual conference of the Zonal Research Units of the Central Bank of Nigeria. Central Bank of Nigeria, Abuja
Oladeji SI, Abiola AG (1998) Poverty alleviation with economic growth strategy: prospects and challenges in contemporary Nigeria. Niger J Econ Soc Stud 40(1):19–33
Oxford Poverty and Human Development Index (OPHI) (2019) Policy – a multidimensional approach – what is multidimensional poverty? https://ophi.org.uk/policy/multidimensional-poverty-index/ . Accessed 22 Aug 2019
Peck J, Theodore N (2010) Recombinant workfare across the Americas. Geoforum 41(1):195
Ruckert A (2007) Producing neoliberal hegemony? A neo-Gramscian analysis of the poverty reduction strategy in Nicaragua. Stud Polit Econ 79(Spring):91–118
Ruckert A (2009) A decade of poverty reduction strategies in Latin America: empowering or disciplining the poor? Labour Cap Soc 42(1 & 2):56. JSTOR 2009
Sumner A (2006) In search of the Post-Washington (dis)consensus: the missing content of PRSPs. Third World Q 27(8):1401–1412
UN (United Nations) (2012) The future we want. Rio+20 United Nations Conference on Sustainable Development. http://www.un.org/en/sustainablefuture/
UN (United Nations) (2013) A new global partnership: eradicate poverty and transform economics through sustainable development. United Nations Publication, New York. https://sustainabledevelopment.un.org/content/documents/8932013-05%20%20HLP%20Report%20%20A%20New%20Global%20Partnership.pdf
UN (United Nations) (2014a) Report of the open working group of the General Assembly on Sustainable Development Goals. A/68/970. http://www.un.org/ga/search/view_doc.asp?symbol¼A/68/970
UN (United Nations) (2014b) The road to dignity by 2030: ending poverty, transforming all lives and protecting the planet. A/69/700. http://www.un.org/ga/search/view_doc.asp?symbol¼A/69/700&%3bamp%3bLang¼E
UNDESA (2018) World urbanization prospects: the 2018 revision. United Nations Department of Social and Economic Affairs. https://www.un.org/development/desa/publications/2018-revision-of-world-urbanization-prospects.html
World Bank (2000) World development report 2000/2000: attacking poverty. World Bank, Washington, DC
Book Google Scholar
World Bank, IMF (2005) The poverty reduction strategy initiative: findings from 10 country case studies of World Bank and IMF support. World Bank Operations and Evaluation Department and IMF Independent Evaluation Office. The World Bank, Washington DC
World Poverty Clock (2018) The percentage of Nigerians living in extreme poverty could increase by 2030. World Data Lab. https://worldpoverty.io/blog/index.php?r=12 . Retrieved 03/02/2019
Download references
Author information
Authors and affiliations.
Department of Urban and Regional Planning, Ahmadu Bello University, Zaria, Nigeria
Yakubu Aliyu Bununu
You can also search for this author in PubMed Google Scholar
Corresponding author
Correspondence to Yakubu Aliyu Bununu .
Editor information
Editors and affiliations.
European School of Sustainability, Hamburg University of Applied Sciences, Hamburg, Hamburg, Germany
Walter Leal Filho
Center for Neuroscience & Cell Biology, University of Coimbra, Coimbra, Portugal
Anabela Marisa Azul
Faculty of Engineering and Architecture, Passo Fundo University Faculty of Engineering and Architecture, Passo Fundo, Brazil
Luciana Brandli
Istinye University, Istanbul, Turkey
Pinar Gökcin Özuyar
International Centre for Thriving, University of Chester, Chester, UK
Section Editor information
School of Sustainability Arizona State University, Tempe, USA
Rimjhim M Aggarwal
Rights and permissions
Reprints and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this entry
Cite this entry.
Bununu, Y.A. (2020). Poverty Reduction: Concept, Approaches, and Case Studies. In: Leal Filho, W., Azul, A., Brandli, L., Özuyar, P., Wall, T. (eds) Decent Work and Economic Growth. Encyclopedia of the UN Sustainable Development Goals. Springer, Cham. https://doi.org/10.1007/978-3-319-71058-7_31-1
Download citation
DOI : https://doi.org/10.1007/978-3-319-71058-7_31-1
Received : 23 August 2019
Accepted : 08 September 2019
Published : 10 January 2020
Publisher Name : Springer, Cham
Print ISBN : 978-3-319-71058-7
Online ISBN : 978-3-319-71058-7
eBook Packages : Springer Reference Earth and Environm. Science Reference Module Physical and Materials Science Reference Module Earth and Environmental Sciences
- Publish with us
Policies and ethics
- Find a journal
- Track your research
For the best experience, we recommend you update your browser. Visit our accessibility page for a list of supported browsers. Alternatively, you can continue using your current browser by closing this message.
- Programme finder
- Application process
- Scholarships and awards
- Open events
- The RCA experience
- International students
Short courses
- Teaching dates & College hours
- Student policies, procedures and regulations
- Research projects
- Research centres
- Support for research
- Research Excellence Framework (REF)
- Research degrees
- Executive education
- Case studies
- InnovationRCA
- Collaboration with industry
- Research commercialisation
- Studio projects
- Terra Carta Design Lab projects
- RapidFormRCA
- News and events
- Media centre
- About the RCA
- Organisation
- Work at the RCA
- Sustainability
- Freedom of information
- Visiting the RCA
- About this website
- --> Pre-Master's
- --> Taught Master's
- --> Postgraduate research
- --> Short courses
- --> Part-time programmes
- --> School of Architecture
- --> School of Arts & Humanities
- --> School of Communication
- --> School of Design
- --> Apply to study at the RCA
- --> Eligibility and key dates
- --> English language requirements
- --> Funding your studies
- --> Application process: frequently asked questions
- --> Information for offer holders
- --> Where will the RCA take you?
- --> Careers support
- --> Our campus
- --> Facilities
- --> Learning environment
- --> Student support team
- --> Disability support
- --> Dyslexia support
- --> RCA BLK
- --> Student wellbeing
- --> Students' Union
- --> Accommodation in London
- --> Cost of living
- --> Student Visa
- --> Before you arrive in the UK
- --> CAS Number: frequently asked questions
- --> EAP (English for academic purposes) Pre-sessional courses
- --> Working in the UK after your studies
- --> The RCA and international agents
- --> Summer Schools
- --> Executive education masterclasses
- --> Art & design short courses
- --> Custom executive education
- --> IN SESSION: talks
- --> Participant testimonies
- --> Frequently asked questions
- --> Terms and conditions
- --> The Helen Hamlyn Centre for Design
- --> Intelligent Mobility Design Centre
- --> Materials Science Research Centre
- --> Computer Science Research Centre
- --> RCA Robotics Laboratory
- --> CLIMAVORE x Jameel at RCA
- --> Research students
- --> About InnovationRCA
- --> Start-up companies
- --> Our services
- --> College mission
- --> Governance
- --> Policies and codes of practice
- --> Equality & diversity
- --> Corporate publications
- --> Archive & collections
- --> Suppliers
- --> How to apply
- --> Staff benefits
- --> HR & payroll systems for casual workers
- --> Accessibility
- --> Data protection, privacy & cookies
- --> Terms & conditions
- Register your interest in studying
- Support GenerationRCA
- Visit our application portal
Case Study: Graphic Novel Summer School 2024
A live online short course with an expanded view of visual storytelling that ran from 1-23 July 2024.
Grete Drummond, Graphic Novel participant July 2024
Course team
- Andrzej Klimowski , RCA Tutor and Emeritus Professor of Illustration
- Miguel Angel Valdivia , RCA Alumnus and Illustrator
- Ravista Mehra , RCA Alumna, Graphic Designer
Register your interest for 2024/25 course dates.
Graphic Novel: Visual Storytelling course page.
Selected participants work
Jenni Spangler - Graphic Novel participant July 2024
Anita Bernacka - Graphic Novel participant July 2024
Cherry Yeung - Graphic Novel participant July 2024
Shumin Ong - Graphic Novel participant July 2024
Laura Vinas - Graphic Novel participant July 2024
Tiffany Liu - Graphic Novel participant July 2024
Ozge Karatas - Graphic Novel participant July 2024
Yi Zhen Leong, Editorial Design summer school 2024
Mia Jasmine Rhodes - Graphic Novel participant July 2024
“An inspiring and quick-paced course during which pressure to consistently work on one's story is balanced with support, encouragement and wholehearted engagement shared by the course leaders and participants. It was a unique opportunity to partake in different trajectories of participants' stories and experience a variety of drawing styles, themes and approaches. A friendly litmus test for one's ideas.” Anita Bernacka Graphic Novel participant July 2024
“Great way to network with people from different backgrounds and countries. Excellent chance to get drawing in a supportive environment where you are given constructive feedback and encouragement by the course leaders and your peers. Good insight into developing your skills as an artist and storyteller for industry professionals.” Olivia Rissik Graphic Novel participant July 2024
“The programme was professionally lead with numerous resources and very accomplished tutors who provide excellent advice and really shape the course of your work until the very end even with aspects such as titles, never neglecting the smaller details.” Mia Jasmine Rhodes Graphic Novel participant July 2024
Andrzej Klimowski
Course Leader
Andrzej has taught and exhibited around the world. He has an international reputation as a poster and book-jacket designer, as well as a graphic novelist and illustrator.
Miguel Angel Valdivia
Short Course Tutor
Miguel Angel Valdivia is an Italian visual artist currently living in Naples. He graduated from the Royal College of Art in the Visual Communication department in 2013, where he also taught as a visiting lecturer for three years. He recently published his first graphic novel, "Il divino inciampare”, in Italy. He is currently writing the storyboard for his second book.
Editorial Design
Contemporary Art Summer School
Architecture Summer School
Get in touch if you'd like to find out more about our short courses.
Information
- Author Services
Initiatives
You are accessing a machine-readable page. In order to be human-readable, please install an RSS reader.
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess .
Feature papers represent the most advanced research with significant potential for high impact in the field. A Feature Paper should be a substantial original Article that involves several techniques or approaches, provides an outlook for future research directions and describes possible research applications.
Feature papers are submitted upon individual invitation or recommendation by the scientific editors and must receive positive feedback from the reviewers.
Editor’s Choice articles are based on recommendations by the scientific editors of MDPI journals from around the world. Editors select a small number of articles recently published in the journal that they believe will be particularly interesting to readers, or important in the respective research area. The aim is to provide a snapshot of some of the most exciting work published in the various research areas of the journal.
Original Submission Date Received: .
- Active Journals
- Find a Journal
- Proceedings Series
- For Authors
- For Reviewers
- For Editors
- For Librarians
- For Publishers
- For Societies
- For Conference Organizers
- Open Access Policy
- Institutional Open Access Program
- Special Issues Guidelines
- Editorial Process
- Research and Publication Ethics
- Article Processing Charges
- Testimonials
- Preprints.org
- SciProfiles
- Encyclopedia
Article Menu
- Subscribe SciFeed
- Recommended Articles
- Google Scholar
- on Google Scholar
- Table of Contents
Find support for a specific problem in the support section of our website.
Please let us know what you think of our products and services.
Visit our dedicated information section to learn more about MDPI.
JSmol Viewer
Gnss time series analysis with machine learning algorithms: a case study for anatolia.
1. Introduction
2.1. data acquiring.
Click here to enlarge figure
2.2. Evaluation of GNSS Data
3. methodology, 3.1. data segmentation and feature extraction, 3.2. accuracy and evaluation metrics, 4.1. preprocessing of the time series, 4.2. residual analysis, 5. discussion, 6. conclusions, supplementary materials, author contributions, data availability statement, acknowledgments, conflicts of interest, abbreviations.
GNSS | Global Navigational Satellite System |
TUSAGA | Turkish National Continuous GNSS Network |
RCMT | Regional Centroid Moment Tensor |
Mw | Moment Magnitude |
CME | Common Mode Error |
ML | Machine Learning |
LSTM | Long Short-Term Memory |
NAF | North Anatolian Fault |
EAF | East Anatolian Fault |
IGS | International GNSS Service |
AMLSTM NN | Attention Mechanism with Long Short-Time Memory Neural Network |
TP | True Positive |
TN | True Negative |
FP | False Positive |
FN | False Negative |
TP′ | True Positive Prime |
RNN | Recurrent Neural Network |
MSE | Mean Squared Error |
MAE | Mean Absolute Error |
RMSE | Root Mean Squared Error |
R | R-squared (Coefficient of Determination) |
ROC | Receiver Operating Characteristic |
AUC | Area Under the Curve |
GMT | Generic Mapping Tools |
Hyperparameter | Explanation |
---|---|
Number of trees | Number of boosting rounds |
Learning Rate | Step size shrinkage used to prevent overfitting |
Maximum depth | Maximum depth of a tree |
Minimum Child Weight | Minimum sum of instance weight (hessian) needed in a child |
Subsample | Fraction of observations to be randomly sampled for each tree |
Column sample | Fraction of features to be randomly sampled for each tree |
Hyperparameter | Explanation |
---|---|
Number of Layers | The depth of the network |
Number of Units per Layer | The number of memory cells in each layer |
Dropout Rate | The fraction of input units to drop during training to prevent overfitting |
Learning Rate | The step size for the optimizer |
Batch Size | The number of samples per gradient update |
Number of Epochs | The number of times the entire dataset is passed through the network during training |
- Blewitt, G.; Hammond, W.C.; Kreemer, C.; Plag, H.P.; Stein, S.; Okal, E. GPS for real-time earthquake source determination and tsunami warning systems. J. Geod. 2009 , 83 , 335–343. [ Google Scholar ] [ CrossRef ]
- Mao, A.; Harrison, C.G.A.; Dixon, T.H. Noise in GPS coordinate time series. J. Geophys. Res. Solid Earth 1999 , 104 , 2797–2816. [ Google Scholar ] [ CrossRef ]
- Dong, D.; Fang, P.; Bock, Y.; Cheng, M.K.; Miyazaki, S. Anatomy of apparent seasonal variations from GPS-derived site position time series. J. Geophys. Res. Solid Earth 2002 , 107 , ETG 9-1–ETG 9-16. [ Google Scholar ] [ CrossRef ]
- Williams, S. The effect of coloured noise on the uncertainties of rates estimated from geodetic time series. J. Geodesy 2003 , 76 , 483–494. [ Google Scholar ] [ CrossRef ]
- King, M.A.; Williams, S.D.P. Apparent stability of GPS monumentation from short-baseline time series. J. Geophys. Res. Solid Earth 2009 , 114 , B10403. [ Google Scholar ] [ CrossRef ]
- Jiang, Y.; Wdowinski, S.; Dixon, T.H.; Hackl, M.; Protti, M.; Gonzalez, V. Slow slip events in Costa Rica detected by continuous GPS observations, 2002–2011. Geochem. Geophys. Geosyst. 2012 , 13 , Q04006. [ Google Scholar ] [ CrossRef ]
- Gazeaux, J.; Williams, S.; King, M.; Bos, M.; Dach, R.; Deo, M.; Moore, A.W.; Ostini, L.; Petrie, E.; Roggero, M.; et al. Detecting offsets in GPS time series: First results from the detection of offsets in GPS experiment. J. Geophys. Res. Solid Earth 2013 , 118 , 2397–2407. [ Google Scholar ] [ CrossRef ]
- Frank, W.B.; Rousset, B.; Lasserre, C.; Campillo, M. Revealing the cluster of slow transients behind a large slow slip event. Sci. Adv. 2018 , 4 , eaat0661. [ Google Scholar ] [ CrossRef ]
- Bos, M.; Fernandes, R.; Williams, S.; Bastos, L. Fast error analysis of continuous GPS observations. J. Geodesy 2008 , 82 , 157–166. [ Google Scholar ] [ CrossRef ]
- Dong, D.; Fang, P.; Bock, Y.; Webb, F.; Prawirodirdjo, L.; Kedar, S.; Jamason, P. Spatiotemporal filtering using principal component analysis and Karhunen-Loeve expansion approaches for regional GPS network analysis. J. Geophys. Res. Solid Earth 2006 , 111 , B03405. [ Google Scholar ] [ CrossRef ]
- Williams, S.D.P.; Bock, Y.; Fang, P.; Jamason, P.; Nikolaidis, R.M.; Prawirodirdjo, L.; Miller, M.; Johnson, D.J. Error analysis of continuous GPS position time series. J. Geophys. Res. Solid Earth 2004 , 109 , B03412-1. [ Google Scholar ] [ CrossRef ]
- Williams, S.D. CATS: GPS coordinate time series analysis software. GPS Solut. 2008 , 12 , 147–153. [ Google Scholar ] [ CrossRef ]
- Segall, P.; Desmarais, E.K.; Shelly, D.; Miklius, A.; Cervelli, P. Earthquakes triggered by silent slip events on Kīlauea volcano, Hawaii. Nature 2006 , 442 , 71–74. [ Google Scholar ] [ CrossRef ] [ PubMed ]
- Brown, J.R.; Beroza, G.C.; Ide, S.; Ohta, K.; Shelly, D.R.; Schwartz, S.Y.; Rabbel, W.; Thorwart, M.; Kao, H. Deep low-frequency earthquakes in tremor localize to the plate interface in multiple subduction zones. Geophys. Res. Lett. 2009 , 36 . [ Google Scholar ] [ CrossRef ]
- Bishop, C.M.; Nasrabadi, N.M. Pattern Recognition and Machine Learning ; Springer: New York, NY, USA, 2006; Volume 4. [ Google Scholar ]
- Goodfellow, I.; Bengio, Y.; Courville, A. Deep Learning ; MIT Press: Cambridge, MA, USA, 2016. [ Google Scholar ]
- Wang, J.; Nie, G.; Gao, S.; Wu, S.; Li, H.; Ren, X. Landslide Deformation Prediction Based on a GNSS Time Series Analysis and Recurrent Neural Network Model. Remote Sens. 2021 , 13 , 1055. [ Google Scholar ] [ CrossRef ]
- Crocetti, L.; Schartner, M.; Soja, B. Discontinuity Detection in GNSS Station Coordinate Time Series Using Machine Learning. Remote Sens. 2021 , 13 , 3906. [ Google Scholar ] [ CrossRef ]
- Wang, J.; Jiang, W.; Li, Z.; Lu, Y. A New Multi-Scale Sliding Window LSTM Framework (MSSW-LSTM): A Case Study for GNSS Time-Series Prediction. Remote Sens. 2021 , 13 , 3328. [ Google Scholar ] [ CrossRef ]
- Gao, W.; Li, Z.; Chen, Q.; Jiang, W.; Feng, Y. Modelling and prediction of GNSS time series using GBDT, LSTM and SVM machine learning approaches. J. Geodesy 2022 , 96 , 71. [ Google Scholar ] [ CrossRef ]
- Ruttner, P.; Hohensinn, R.; D’Aronco, S.; Wegner, J.D.; Soja, B. Modeling of Residual GNSS Station Motions through Meteorological Data in a Machine Learning Approach. Remote Sens. 2022 , 14 , 17. [ Google Scholar ] [ CrossRef ]
- Chen, H.; Lu, T.; Huang, J.; He, X.; Yu, K.; Sun, X.; Ma, X.; Huang, Z. An Improved VMD-LSTM Model for Time-Varying GNSS Time Series Prediction with Temporally Correlated Noise. Remote Sens. 2023 , 15 , 3694. [ Google Scholar ] [ CrossRef ]
- Li, Z.; Lu, T.; Yu, K.; Wang, J. Interpolation of GNSS Position Time Series Using GBDT, XGBoost, and RF Machine Learning Algorithms and Models Error Analysis. Remote Sens. 2023 , 15 , 4374. [ Google Scholar ] [ CrossRef ]
- Xie, Y.; Wang, J.; Li, H.; Dong, A.; Kang, Y.; Zhu, J.; Wang, Y.; Yang, Y. Deep Learning CNN-GRU Method for GNSS Deformation Monitoring Prediction. Appl. Sci. 2024 , 14 , 4004. [ Google Scholar ] [ CrossRef ]
- McKenzie, D. Active tectonics of the Mediterranean region. Geophys. J. Int. 1972 , 30 , 109–185. [ Google Scholar ] [ CrossRef ]
- Şengör, A.; Tüysüz, O.; İmren, C.; Sakınç, M.; Eyidoğan, H.; Görür, N.; Le Pichon, X.; Rangin, C. The North Anatolian Fault: A New Look. Annu. Rev. Earth Planet. Sci. 2005 , 33 , 37–112. [ Google Scholar ] [ CrossRef ]
- Reilinger, R.E.; Ergintav, S.; Bürgmann, R.; McClusky, S.; Lenk, O.; Barka, A.; Gurkan, O.; Hearn, L.; Feigl, K.L.; Cakmak, R.; et al. Coseismic and Postseismic Fault Slip for the 17 August 1999, M = 7.5, Izmit, Turkey Earthquake. Science 2000 , 289 , 1519–1524. [ Google Scholar ] [ CrossRef ]
- McKenzie, D. The East Anatolian Fault: A major structure in eastern Turkey. Earth Planet. Sci. Lett. 1976 , 29 , 189–193. [ Google Scholar ] [ CrossRef ]
- Fielding, E.J.; Lundgren, P.R.; Taymaz, T.; Yolsal-Çevikbilen, S.; Owen, S.E. Fault-Slip Source Models for the 2011 M 7.1 Van Earthquake in Turkey from SAR Interferometry, Pixel Offset Tracking, GPS, and Seismic Waveform Analysis. Seismol. Res. Lett. 2013 , 84 , 579–593. [ Google Scholar ] [ CrossRef ]
- Chousianitis, K.; Konca, A.O. Rupture Process of the 2020 M7.0 Samos Earthquake and its Effect on Surrounding Active Faults. Geophys. Res. Lett. 2021 , 48 , e2021GL094162. [ Google Scholar ] [ CrossRef ]
- Yıldırım, C.; Aksoy, M.E.; Özcan, O.; İşiler, M.; Özbey, V.; Çiner, A.; Salvatore, P.; Sarıkaya, M.A.; Doğan, T.; İlkmen, E.; et al. Coseismic (20 July 2017 Bodrum-Kos) and paleoseismic markers of coastal deformations in the Gulf of Gökova, Aegean Sea, SW Turkey. Tectonophysics 2022 , 822 , 229141. [ Google Scholar ] [ CrossRef ]
- Cakir, Z.; Doğan, U.; Akoğlu, A.M.; Ergintav, S.; Özarpacı, S.; Özdemir, A.; Nozadkhalil, T.; Çakir, N.; Zabcı, C.; Erkoç, M.H.; et al. Arrest of the Mw 6.8 January 24, 2020 Elaziğ (Turkey) earthquake by shallow fault creep. Earth Planet. Sci. Lett. 2023 , 608 , 118085. [ Google Scholar ] [ CrossRef ]
- McClusky, S.; Balassanian, S.; Barka, A.; Demir, C.; Ergintav, S.; Georgiev, I.; Gurkan, O.; Hamburger, M.; Hurst, K.; Kahle, H.; et al. Global Positioning System constraints on plate kinematics and dynamics in the eastern Mediterranean and Caucasus. J. Geophys. Res. Solid Earth 2000 , 105 , 5695–5719. [ Google Scholar ] [ CrossRef ]
- Reilinger, R.; McClusky, S.; Vernant, P.; Lawrence, S.; Ergintav, S.; Cakmak, R.; Ozener, H.; Kadirov, F.; Guliev, I.; Stepanyan, R.; et al. GPS constraints on continental deformation in the Africa-Arabia-Eurasia continental collision zone and implications for the dynamics of plate interactions. J. Geophys. Res. Solid Earth 2006 , 111 , B05411. [ Google Scholar ] [ CrossRef ]
- Özbey, V.; Şengör, A.; Henry, P.; Özeren, M.S.; Haines, A.J.; Klein, E.; Tarı, E.; Zabcı, C.; Chousianitis, K.; Guvercin, S.E.; et al. Kinematics of the Kahramanmaraş triple junction and of Cyprus: Evidence of shear partitioning. BSGF-Earth Sci. Bull. 2024 , 195 , 15. [ Google Scholar ] [ CrossRef ]
- Hochreiter, S.; Schmidhuber, J. Long Short-Term Memory. Neural Comput. 1997 , 9 , 1735–1780. [ Google Scholar ] [ CrossRef ]
- Chen, T.; Guestrin, C. Xgboost: A scalable tree boosting system. In Proceedings of the 22nd Acm Sigkdd International Conference on Knowledge Discovery and Data Mining, San Francisco, CA, USA, 13–17 August 2016; pp. 785–794. [ Google Scholar ] [ CrossRef ]
- Pondrelli, S.; Morelli, A.; Ekström, G.; Mazza, S.; Boschi, E.; Dziewonski, A. European–Mediterranean regional centroid-moment tensors: 1997–2000. Phys. Earth Planet. Inter. 2002 , 130 , 71–101. [ Google Scholar ] [ CrossRef ]
- Şengör, A.M.C.; Zabci, C. The North Anatolian Fault and the North Anatolian Shear Zone BT. In Landscapes and Landforms of Turkey ; Springer International Publishing: Cham, Switzerland, 2019; pp. 481–494. [ Google Scholar ] [ CrossRef ]
- Herring, T.; King, R.; Floyd, M.; McClusky, S. Introduction to GAMIT/GLOBK, Release 10.7, GAMIT/GLOBK Documentation ; Massachusetts Institute of Technology: Cambridge, MA, USA, 2018. [ Google Scholar ]
- Blewitt, G.; Lavallée, D. Effect of annual signals on geodetic velocity. J. Geophys. Res. Solid Earth 2002 , 107 , ETG 9-1–ETG 9-11. [ Google Scholar ] [ CrossRef ]
- McKinney, W. Data structures for statistical computing in Python. In Proceedings of the SciPy, Austin, TX, USA, 28–30 June 2010; Volume 445, pp. 51–56. [ Google Scholar ]
- Pedregosa, F.; Varoquaux, G.; Gramfort, A.; Michel, V.; Thirion, B.; Grisel, O.; Blondel, M.; Prettenhofer, P.; Weiss, R.; Dubourg, V.; et al. Scikit-learn: Machine learning in Python. J. Mach. Learn. Res. 2011 , 12 , 2825–2830. [ Google Scholar ]
- Abadi, M.; Agarwal, A.; Barham, P.; Brevdo, E.; Chen, Z.; Citro, C.; Corrado, G.S.; Davis, A.; Dean, J.; Devin, M.; et al. TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems. arXiv 2016 , arXiv:1603.04467. [ Google Scholar ] [ CrossRef ]
- Wessel, P.; Luis, J.F.; Uieda, L.; Scharroo, R.; Wobbe, F.; Smith, W.H.F.; Tian, D. The Generic Mapping Tools Version 6. Geochem. Geophys. Geosyst. 2019 , 20 , 5556–5564. [ Google Scholar ] [ CrossRef ]
- Harris, C.R.; Millman, K.J.; Van Der Walt, S.J.; Gommers, R.; Virtanen, P.; Cournapeau, D.; Wieser, E.; Taylor, J.; Berg, S.; Smith, N.J.; et al. Array programming with NumPy. Nature 2020 , 585 , 357–362. [ Google Scholar ] [ CrossRef ]
Category | Features |
---|---|
Statistical Features | Mean, Standard Deviation, Skewness, Kurtosis |
Frequency Features | Fourier Transform Coefficients |
Trend Features | Linear Regression Coefficients, Polynomial Regression Coefficients |
Metric Features | Maximum Displacement, Minimum Displacement, Range |
Threshold Features | Threshold features for discontinuity detection |
Actual | Predicted | |
---|---|---|
TP and (TP′) | TN | |
FP | FN |
Model | Hyperparameter | Initial Value |
---|---|---|
XGBoost | Number of trees | 200 |
XGBoost, LSTM | Learning Rate | 0.1 |
XGBoost | Maximum depth | 7 |
XGBoost | Minimum Child Weight | 3 |
XGBoost | Subsample | 0.9 |
XGBoost | Column sample | 0.8 |
LSTM | Number of Layers | 2 |
LSTM | Number of Units per Layer | 100 |
LSTM | Dropout Rate | 0.3 |
LSTM | Batch Size | 64 |
Hyperparameter | Tested Values | Selected Value |
---|---|---|
Number of trees | [100, 200, 300, 500, 1000] | 200 |
Learning Rate | [0.1, 0.2, 0.3] | 0.2 |
Maximum depth | [3, 5, 7, 9] | 7 |
Minimum Child Weight | [1, 3, 5, 7, 10] | 5 |
Subsample | [0.5, 0.7, 0.9, 1.0] | 0.9 |
Column sample | [0.3, 0.5, 0.7, 0.8, 1.0] | 0.8 |
Number of Layers | [1, 2, 3] | 2 |
Number of Units per Layer | [50, 100, 150] | 100 |
Dropout Rate | [0.2, 0.3, 0.4] | 0.3 |
Batch Size | [16, 32, 64, 128] | 64 |
Metric | XGBoost | LSTM |
---|---|---|
MAE | 1.8 | 2.0 |
RMSE | 2.2 | 2.5 |
0.84 | 0.81 |
The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
Share and Cite
Özbey, V.; Ergintav, S.; Tarı, E. GNSS Time Series Analysis with Machine Learning Algorithms: A Case Study for Anatolia. Remote Sens. 2024 , 16 , 3309. https://doi.org/10.3390/rs16173309
Özbey V, Ergintav S, Tarı E. GNSS Time Series Analysis with Machine Learning Algorithms: A Case Study for Anatolia. Remote Sensing . 2024; 16(17):3309. https://doi.org/10.3390/rs16173309
Özbey, Volkan, Semih Ergintav, and Ergin Tarı. 2024. "GNSS Time Series Analysis with Machine Learning Algorithms: A Case Study for Anatolia" Remote Sensing 16, no. 17: 3309. https://doi.org/10.3390/rs16173309
Article Metrics
Article access statistics, supplementary material.
ZIP-Document (ZIP, 1173 KiB)
Further Information
Mdpi initiatives, follow mdpi.
Subscribe to receive issue release notifications and newsletters from MDPI journals
COMMENTS
A recent report form the city of Buenos Aires measuring multi-dimensional poverty, using the consensual method, has found that in 2019,15.3% of households were multi-dimensionallypoor, rising to25.7% for households with children under 18 years of age. The method established will be used to measure nu,ti-dimensional poverty on an ongoing basis.
Study picks out key indicators like lead exposure, violence, and incarceration that impact children's later success. Social scientists have long understood that a child's environment — in particular growing up in poverty — can have long-lasting effects on their success later in life. What's less well understood is exactly how.
In this sense, low consumption power (income) and poverty are essentially synonymous. Outside of developed countries, a similar view of poverty frequently gets headlines. In its global comparisons, the World Bank has adopted the (in)famous poverty line of US$1.90 a day. So, people with daily real incomes below this amount form part of the ...
1. Eradication of extreme poverty currently measured as people living on less than $1.25 a day for everyone everywhere by the year 2030. 2. Reduction by at least half the proportion of men, women, and children of all ages living in poverty in all its dimensions according to national definitions by the year 2030. 3.
poverty, and implementation deviated widely from the plans set forth in the Bank's strategy documents. This comparative summary of the findings of the country case studies yields very broad conclusions. The 10 case studies suggest that Bank support for poverty reduction had a positive impact on various components, such as poverty data,
The Enduring Challenge of Concentrated Poverty in America: Case Studies from Communities Across the U.S. profiles 16 high-poverty communities, including immigrant gateway, Native American, urban and rural communities. One of the case studies focuses on Holmes County, Miss., located in the district served by the Federal Reserve Bank of St. Louis.
Concentrated Poverty in America: Case Studies from Communities Across the U.S. EdiTors David Erickson, Federal Reserve Bank of San Francisco Carolina Reid, Federal Reserve Bank of San Francisco
Through these case studies, the report contributes to our understanding of the dynamics of poor people living in poor communities, and the policies that will be needed to bring both into the economic mainstream. In the Richmond Fed District, this special report looks at the factors that give rise to high-poverty neighborhoods in West Greenville ...
Overview. Around 700 million people live on less than $2.15 per day, the extreme poverty line. Extreme poverty remains concentrated in parts of Sub-Saharan Africa, fragile and conflict-affected areas, and rural areas. After decades of progress, the pace of global poverty reduction began to slow by 2015, in tandem with subdued economic growth.
1 in 10: Redefining the Asian American Dream (Short Film) Of the 24 million Asians living in the United States, about 2.3 million live in poverty. This short film explores their diverse stories and experiences. data essayMar 27, 2024.
A key argument for the introduction of the City Development Plans initiative (2007-2012) in India was to move away from national conceptions of and responses to poverty and to instead focus on engaging with local understandings of poverty. Through a case study of the City Development Plan initiative in Trivandrum, the capital city of the ...
We do so in ways that amplify the perspectives of those who have historically been left out or silenced in these discussions. UN SDGs. SDG 1: No Poverty SDG 2: Zero Hunger SDG 3: Good Health and Well-Being SDG 4: Quality Education SDG 5: Gender Equality SDG 6: Clean Water and Sanitation SDG 7: Affordable and Clean Energy SDG 8: Decent Work and ...
An alternative way of looking at poverty incidence is with the use of the international poverty lines of $1.90/day and $3.10/day. With the poverty line of $1.90/day, the poverty rate was at around 14 percent for more than half a decade. Then, the poverty rate declined in 2009 to around 11
Readers are referred to the full case studies for more complete treatment of the issues raised in this volume.2 This introduction first discusses the key features of the PRS Initiative, followed by the scope and methodology of the case studies. It concludes with highlights of the main messages of the case studies. Facing the poverty challenge
In its global comparisons, the World Bank has adopted the (in)famous poverty line of US$1.90 a day. So, people with daily real incomes below this amount form part of the global poor - thankfully ...
Poverty is universally measured in monetary expenditure terms, and individuals that are considered poor are those living on less than US$1.25 per day. Poverty is however multifaceted as it includes the multitude of lack and deprivations that poor people are subjected to in their lives on a daily basis. These include but are not limited to disease and poor health conditions, illiteracy and lack ...
In contrast, a commonly used definition of extreme poverty (promoted primarily by the World Bank) refers to anyone as extreme poor whose income is below 1.90 USD (PPP) a day. This represents a major shift as the World Bank commissioned a large international study Voices of Poor in the 1990s.
opportunities to which every human being is entitled. Thus, clearly, one can think of poverty from a non-monetary perspective. Although widely used, monetary poverty is not the exclusive paradigm for poverty measurement and non-monetary dimensions of poverty are useful in assessing poverty components, particularly for case study research.
The first time I realized a huge knowledge gap in poverty alleviation was at the age of 28 when I took charge of the investment estimation work for Western China's poverty alleviation project by the World Bank. At that time, I was keen on finding well-edited poverty reduction books that combined theories, methods and practical operations.
More specifically, 35.5% of Black people living in poverty in the U.S. are below the age of 18. In addition, 40.7% of Hispanic people living below the poverty line in the U.S. are younger than age 18, and 29.1% of American Indian and Native American children lived in poverty in 2018.
Statistics and Facts. The September 2023 Global Poverty Update by the World Bank revealed that at the $3.65 poverty line, India accounts for 40% of the global poverty rate of 24.1%. (The World Bank) Over a third of all people living in poverty in the world live in South Asia, which amounts to roughly 389 million people. (The World Bank)
expenditures surveys up to 200405. In particular, Cain, Hasan and Rana - study (2012) the impact of openness on poverty, Mukim and Panagariya (2012) document the decline in poverty across social groups, Dehejia and Panagariya (2012) provide evidence on the growth in entrepreneurship in services sectors among the socially disadvantaged groups
Eradication of extreme poverty currently mea-sured as people living on less than $1.25 a day for everyone everywhere by the year 2030. Reduction by at least half the proportion of men, women, and children of all ages living in poverty in all its dimensions according to national denitions by the year 2030. fi.
Gain access to teaching and research from academics at the number 1 university for art & design in the world, plus industry-leading leading guest speakers, with our impressive multi-disciplinary portfolio of short courses and executive masterclasses.
This study addresses the potential of machine learning (ML) algorithms in geophysical and geodetic research, particularly for enhancing GNSS time series analysis. We employed XGBoost and Long Short-Term Memory (LSTM) networks to analyze GNSS time series data from the tectonically active Anatolian region. The primary objective was to detect discontinuities associated with seismic events.