In 2024, Indonesia had an urban poverty line of approximately ******* Indonesian rupiah per month, indicating a constant increase since 2015. The poverty line is the minimum amount of income needed for day to day necessities.

In 2023, the poverty rate in Vietnam was around *** percent in urban areas, while that of rural areas was around *** percent. In that year, the poverty rate in the country was *** percent.

During the second quarter of 2023, approximately three out of ten people living in urban areas in Argentina were below the poverty line. And more than one out of ten individuals were considered to live below the indigence line. Even though poverty and indigence rates were lower among households, it was estimated that over 23 percent of urban households in Argentina were below the poverty line.

Urban poverty rate of Côte d'Ivoire shot up by 22.11% from 29.4 % in 2008 to 35.9 % in 2015. Since the 20.00% surge in 2008, urban poverty rate soared by 22.11% in 2015. Urban poverty rate is the percentage of the urban population living below the national urban poverty line.

Egypt EG: Poverty Headcount Ratio at National Poverty Lines: Urban: % of Urban Population data was reported at 15.300 % in 2010. This records an increase from the previous number of 11.000 % for 2008. Egypt EG: Poverty Headcount Ratio at National Poverty Lines: Urban: % of Urban Population data is updated yearly, averaging 10.550 % from Dec 2000 (Median) to 2010, with 4 observations. The data reached an all-time high of 15.300 % in 2010 and a record low of 9.300 % in 2000. Egypt EG: Poverty Headcount Ratio at National Poverty Lines: Urban: % of Urban Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Egypt – Table EG.World Bank.WDI: Poverty. Urban poverty headcount ratio is the percentage of the urban population living below the national poverty lines.; ; World Bank, Global Poverty Working Group. Data are compiled from official government sources or are computed by World Bank staff using national (i.e. country–specific) poverty lines.; ; This series only includes estimates that to the best of our knowledge are reasonably comparable over time for a country. Due to differences in estimation methodologies and poverty lines, estimates should not be compared across countries.

Philippines PH: Poverty Headcount Ratio at National Poverty Lines: Urban: % of Urban Population data was reported at 13.000 % in 2012. This records an increase from the previous number of 12.600 % for 2009. Philippines PH: Poverty Headcount Ratio at National Poverty Lines: Urban: % of Urban Population data is updated yearly, averaging 12.600 % from Dec 2006 (Median) to 2012, with 3 observations. The data reached an all-time high of 13.000 % in 2012 and a record low of 12.600 % in 2009. Philippines PH: Poverty Headcount Ratio at National Poverty Lines: Urban: % of Urban Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Philippines – Table PH.World Bank: Poverty. Urban poverty headcount ratio is the percentage of the urban population living below the national poverty lines.; ; World Bank, Global Poverty Working Group. Data are compiled from official government sources or are computed by World Bank staff using national (i.e. country–specific) poverty lines.; ; This series only includes estimates that to the best of our knowledge are reasonably comparable over time for a country. Due to differences in estimation methodologies and poverty lines, estimates should not be compared across countries.

The Department of Veterans Affairs provides official estimates and projections of the Veteran population using the Veteran Population Projection Model (VetPop). Based on the latest model VetPop2023 and the most recent national survey estimates from the 2023 American Community Survey 1-Year (ACS) data, the projected number of Veterans living in the 50 states, DC and Puerto Rico for fiscal years, 2023 to 2025, are allocated to Urban and Rural areas. As defined by the Census Bureau, Rural encompasses all population, housing, and territory not included within an Urban area (https://www.census.gov/programs-surveys/geography/guidance/geo-areas/urban-rural.html).

This table contains the Veteran estimates by urban/rural, age group, poverty, and disability. The poverty level and disability are determined by ACS based on responses on total income and functional difficulties. Refer to the sections on Poverty and Disability Status in the document, https://www2.census.gov/programs-surveys/acs/tech_docs/subject_definitions/2023_ACSSubjectDefinitions.pdf

Note: rounding to the nearest 1,000 is always appropriate for VetPop estimates.

Jordan JO: Poverty Headcount Ratio at National Poverty Lines: Urban: % of Urban Population data was reported at 13.900 % in 2010. Jordan JO: Poverty Headcount Ratio at National Poverty Lines: Urban: % of Urban Population data is updated yearly, averaging 13.900 % from Dec 2010 (Median) to 2010, with 1 observations. Jordan JO: Poverty Headcount Ratio at National Poverty Lines: Urban: % of Urban Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Jordan – Table JO.World Bank: Poverty. Urban poverty headcount ratio is the percentage of the urban population living below the national poverty lines.; ; World Bank, Global Poverty Working Group. Data are compiled from official government sources or are computed by World Bank staff using national (i.e. country–specific) poverty lines.; ; This series only includes estimates that to the best of our knowledge are reasonably comparable over time for a country. Due to differences in estimation methodologies and poverty lines, estimates should not be compared across countries.

Income and Poverty Rates by Urban and Rural, Year and Statistic

View data using web pages

Download .px file (Software required)

Laos LA: Poverty Headcount Ratio at National Poverty Lines: Urban: % of Urban Population data was reported at 10.000 % in 2012. This records a decrease from the previous number of 17.400 % for 2007. Laos LA: Poverty Headcount Ratio at National Poverty Lines: Urban: % of Urban Population data is updated yearly, averaging 18.550 % from Dec 1997 (Median) to 2012, with 4 observations. The data reached an all-time high of 22.100 % in 1997 and a record low of 10.000 % in 2012. Laos LA: Poverty Headcount Ratio at National Poverty Lines: Urban: % of Urban Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Laos – Table LA.World Bank: Poverty. Urban poverty headcount ratio is the percentage of the urban population living below the national poverty lines.; ; World Bank, Global Poverty Working Group. Data are compiled from official government sources or are computed by World Bank staff using national (i.e. country–specific) poverty lines.; ; This series only includes estimates that to the best of our knowledge are reasonably comparable over time for a country. Due to differences in estimation methodologies and poverty lines, estimates should not be compared across countries.

In 2022, the poverty rate of the urban population of Malaysia was at *** percent, while rural poverty was at ** percent. In 2019, Malaysia revised its national poverty line income, increasing it from 980 Malaysian ringgit to 2,208 Malaysian ringgit. This accounted for the increases in the poverty rate in 2016.

Urban poverty rate of Uruguay plummeted by 15.83% from 12.0 % in 2013 to 10.1 % in 2014. Since the 1.27% climb in 2004, urban poverty rate sank by 74.69% in 2014. Urban poverty rate is the percentage of the urban population living below the national urban poverty line.

A striking negative correlation exists between an area's residential racial segregation and its population characteristics, but it is recognized that this relationship may not be causal. I present a novel test of causality from segregation to population characteristics by exploiting the arrangements of railroad tracks in the nineteenth century to isolate plausibly exogenous variation in areas' susceptibility to segregation. I show that this variation satisfies the requirements for a valid instrument. Instrumental variables estimates demonstrate that segregation increases metropolitan rates of black poverty and overall black-white income disparities, while decreasing rates of white poverty and inequality within the white population. (JEL I32, J15, N31, N32, N91, N92, R23)

This data package contains data on World Development Indicators on Population and Economy, Poverty and Shared Prosperity, People, Environment, Economy, States and Markets and Global links.

Peru PE: Poverty Gap at National Poverty Lines: Urban: % data was reported at 3.300 % in 2014. This stayed constant from the previous number of 3.300 % for 2013. Peru PE: Poverty Gap at National Poverty Lines: Urban: % data is updated yearly, averaging 4.250 % from Dec 2007 (Median) to 2014, with 8 observations. The data reached an all-time high of 8.000 % in 2007 and a record low of 3.300 % in 2014. Peru PE: Poverty Gap at National Poverty Lines: Urban: % data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Peru – Table PE.World Bank: Poverty. Urban poverty gap at national poverty lines is the urban population's mean shortfall from the poverty lines (counting the nonpoor as having zero shortfall) as a percentage of the poverty lines. This measure reflects the depth of poverty as well as its incidence.; ; World Bank, Global Poverty Working Group. Data are compiled from official government sources or are computed by World Bank staff using national (i.e. country–specific) poverty lines.; ; This series only includes estimates that to the best of our knowledge are reasonably comparable over time for a country. Due to differences in estimation methodologies and poverty lines, estimates should not be compared across countries.

Context

This dataset was uploaded to support the Data Science For Good Kiva crowdfunding challenge. In particular, in uploading this dataset, I intend to assist with mapping subnational locations in the Kiva dataset to more accurate geocodes.

Content

This dataset contains poverty data at the administrative unit level 1, based on national poverty line(s). Administrative unit level 1 refers to the highest subnational unit level (examples include ‘state’, ‘governorate’, ‘province’). This dataset also provides data and methodology for distinguishing between poverty rates in urban and rural regions.

This dataset includes one main .csv file: Subnational-PovertyData.csv, which includes a set of poverty indicators at the national and subnational level between the years 1996-2013. Many countries are missing data for multiple years, and no country has data for the years 1997-1999.

It also includes three metadata .csv files: 1. Subnational-PovertyCountry.csv, which describes the country codes and subregions. 2.Subnational-PovertySeries.csv, which describes the three series indicators for national, urban, and rural poverty headcount ratios. This metadata file also including limitations, statistical methodologies, and development relevance for these metrics. 3. Subnational-Povertyfootnote.csv, which describes the years and sources for all of the country-series combinations.

Acknowledgements

This dataset is provided openly by the World Bank. Individual sources for the different data series are available in Subnational-Povertyfootnote.csv.

This dataset is classified as Public under the Access to Information Classification Policy. Users inside and outside the World Bank can access this dataset. It is licensed under CC-BY 4.0.

Metadata

Type: Time Series Topics: Economic Growth Poverty Economy Coverage: IBRD Languages Supported: English Number of Economies: 60 Geographical Coverage: World Access Options: Download, Query Tool Temporal Coverage: 1996 - 2013 Last Updated: April 27, 2015

Urban poverty rate of Nicaragua plummeted by 44.78% from 26.8 % in 2009 to 14.8 % in 2014. Since the 13.27% drop in 2009, urban poverty rate sank by 44.78% in 2014. Urban poverty rate is the percentage of the urban population living below the national urban poverty line.

Malaysia Poverty Rates: Urban data was reported at 0.200 % in 2016. This records a decrease from the previous number of 0.300 % for 2014. Malaysia Poverty Rates: Urban data is updated yearly, averaging 3.400 % from Dec 1970 (Median) to 2016, with 17 observations. The data reached an all-time high of 21.300 % in 1970 and a record low of 0.200 % in 2016. Malaysia Poverty Rates: Urban data remains active status in CEIC and is reported by Department of Statistics. The data is categorized under Global Database’s Malaysia – Table MY.G064: Household Income and Basic Amenities Survey: Poverty Rates.

China's progress in poverty reduction over the last 25 years is enviable. One cannot fail to be impressed by what this vast nation of 1.3 billion people has achieved in so little time. In terms of a wide range of indicators, the progress has been remarkable. Poverty in terms of income and consumption has been dramatically reduced. Progress has also been substantial in terms of human development indicators. Most of the millennium development goals have either already been achieved or the country is well on the way to achieving them. As a result of this progress, the country is now at a very different stage of development than it was at the dawn of the economic reforms at the beginning of the 1980s. China's poverty reduction performance has been even more striking. Between 1981 and 2004, the fraction of the population consuming below this poverty line fell from 65 percent to 10 percent, and the absolute number of poor fell from 652 million to 135 million, a decline of over half a billion people. The most rapid declines in poverty, in both the poverty rate and the number of poor, occurred during the 6th, 8th, and 10th plans. During the 7th plan period the number of poor actually rose, while in the 9th plan period, the poverty rate declined only marginally. But the pace of poverty reduction resumed between 2001 and 2004 and there are indications that during the first couple of years of the 11th plan poverty has continued to decline rapidly. The most recent official estimate of rural poverty in China for 2007 puts the number of poor at 14.79 million, or less than 2 percent of the rural population. While there is no official urban poverty line, estimates by others have found poverty levels in urban areas to be negligible using an urban poverty line that is comparable to the official poverty line for rural areas. These estimates thus suggest that only about 1 percent of China's population is currently in extreme poverty. Notwithstanding this tremendous success, the central thesis of this report is that the task of poverty reduction in many ways continues and in some respects has become more demanding.

Urban poverty rate of Argentina slumped by 12.96% from 5.4 % in 2012 to 4.7 % in 2013. Since the 15.90% drop in 2004, urban poverty rate sank by 88.31% in 2013. Urban poverty rate is the percentage of the urban population living below the national urban poverty line.