15 datasets found
  1. Share of the population living in poverty by race in the United States...

    • statista.com
    Updated Oct 28, 2024
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    Statista (2024). Share of the population living in poverty by race in the United States 1959-2023 [Dataset]. https://www.statista.com/statistics/1225017/poverty-share-by-race-race-us/
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    Dataset updated
    Oct 28, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In the U.S., the share of the population living in poverty fluctuated significantly throughout the six decades between 1987 and 2023. In 2023, the poverty level across all races and ethnicities was 11.1 percent. Black Americans have been the ethnic group with the highest share of their population living in poverty almost every year since 1974. In 1979 alone, Black poverty was well over double the national average, and over four times the poverty rate in white communities; in 1982, almost 48 percent of the Black population lived in poverty. Although poverty rates have been trending downward across all ethnic groups, 17.8 percent of Black Americans and 18.9 percent of American Indian and Alaskan Natives still lived below the poverty line in 2022.

  2. Poverty in India

    • data.subak.org
    • datacatalog.worldbank.org
    pdf, zip
    Updated Feb 16, 2023
    + more versions
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    World Bank Group (2023). Poverty in India [Dataset]. https://data.subak.org/dataset/poverty-india
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    pdf, zipAvailable download formats
    Dataset updated
    Feb 16, 2023
    Dataset provided by
    World Bankhttp://worldbank.org/
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    India
    Description

    Looking back 45 years or so, progress against poverty in India has been highly uneven over time and space. It took 20 years for the national poverty rate to fall below—and stay below—its value in the early 1950s. And trend rates of poverty reduction have differed appreciably between states. This research project aimed to understand what influence economy-wide and sectoral factors have played in the evolution of poverty measures for India since the 1950s, and to draw lessons for the future. This database contains detailed statistics on a wide range of topics in India. The data are presented at the state level and at the all-India level separately. The database uses published information to construct comprehensive series in six subject blocks. Period coverage is roughly from 1950 to 1994. The database contains 30 spreadsheets and 89 text files (ASCII) that are grouped into the six subject blocks. The formats and sizes of the 30 spreadsheets vary considerably. The list of variables included: . Expenditures (distribution) . National Accounts . Prices Wages . Population . Rainfall

  3. U.S. poverty rate 1990-2023

    • statista.com
    Updated Sep 16, 2024
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    Statista (2024). U.S. poverty rate 1990-2023 [Dataset]. https://www.statista.com/statistics/200463/us-poverty-rate-since-1990/
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    Dataset updated
    Sep 16, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In 2023, the around 11.1 percent of the population was living below the national poverty line in the United States. Poverty in the United StatesAs shown in the statistic above, the poverty rate among all people living in the United States has shifted within the last 15 years. The United Nations Educational, Scientific and Cultural Organization (UNESCO) defines poverty as follows: “Absolute poverty measures poverty in relation to the amount of money necessary to meet basic needs such as food, clothing, and shelter. The concept of absolute poverty is not concerned with broader quality of life issues or with the overall level of inequality in society.” The poverty rate in the United States varies widely across different ethnic groups. American Indians and Alaska Natives are the ethnic group with the most people living in poverty in 2022, with about 25 percent of the population earning an income below the poverty line. In comparison to that, only 8.6 percent of the White (non-Hispanic) population and the Asian population were living below the poverty line in 2022. Children are one of the most poverty endangered population groups in the U.S. between 1990 and 2022. Child poverty peaked in 1993 with 22.7 percent of children living in poverty in that year in the United States. Between 2000 and 2010, the child poverty rate in the United States was increasing every year; however,this rate was down to 15 percent in 2022. The number of people living in poverty in the U.S. varies from state to state. Compared to California, where about 4.44 million people were living in poverty in 2022, the state of Minnesota had about 429,000 people living in poverty.

  4. Poverty rate in Poland 2008-2023

    • statista.com
    Updated Jul 18, 2024
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    Statista (2024). Poverty rate in Poland 2008-2023 [Dataset]. https://www.statista.com/statistics/1130472/poland-poverty-rates/
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    Dataset updated
    Jul 18, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Poland
    Description

    In 2023, Poland's extreme poverty rate amounted to 6.6 percent. The category of minimum subsistence means the level of meeting needs, which hinders survival and poses a threat to human psychophysical development.

    Economic poverty in Poland

    In 2021, the extreme poverty rate in Poland was 4.2 percent, which is one percentage point lower than in the previous year. On the other hand, the relative poverty rate reached 12 percent, i.e., 0.2 percentage point more than in the previous year, which is related to the decline in average household expenditure caused by the coronavirus (COVID-19) pandemic. The decrease in extreme poverty observed is associated with a slight improvement in the average material situation of households. In comparison, Poland has one of the lower rates of people at risk of poverty or social exclusion in the CEE region. In 2022, nearly 16 percent of Poles were in the range of this indicator, while the EU average was close to 22 percent.

    Households in poverty

    The extent of poverty varied markedly by socioeconomic group. In 2022, the most vulnerable to economic poverty (i.e., extreme, relative, and statutory poverty) were households living on so-called unearned sources other than pensions and farmers' households. In 2022, extreme poverty in these two groups affected 12 and 8.5 percent of people, respectively.

    Education is one of the most important factors differentiating poverty risk. In general, the higher the education, the lower the poverty risk. Thus, in 2022, 11 percent of people from households with at most lower secondary education experienced extreme poverty. In comparison, among families with higher education, the percentage of people living in households with expenses below the extreme poverty line was about 1.8.

    Economic poverty also depended on household type, including the number of children. Families with at least three children up to the age of 25 were the most exposed to economic poverty.

    The highest value of economic poverty rates is recorded among children and youth under 18 years of age. The reported extreme poverty range for this age group in 2022 was 5.7 percent. Older people (aged 65 and over) experienced economic poverty relatively least often.

  5. d

    Data from: Latin American and Caribbean population database

    • search.dataone.org
    • dataverse.harvard.edu
    Updated Jan 25, 2024
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    Hyman, Glenn Graham; Castaño, Silvia-Elena; López, Rosalba; Cuero, Alexander; Nagles, Carlos; Barona Adarve, Elizabeth; Perez, Liliana; Jones, Peter (2024). Latin American and Caribbean population database [Dataset]. http://doi.org/10.7910/DVN/AF4KGI
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    Dataset updated
    Jan 25, 2024
    Dataset provided by
    Harvard Dataverse
    Authors
    Hyman, Glenn Graham; Castaño, Silvia-Elena; López, Rosalba; Cuero, Alexander; Nagles, Carlos; Barona Adarve, Elizabeth; Perez, Liliana; Jones, Peter
    Time period covered
    Jan 1, 1960 - Jan 1, 2000
    Area covered
    Latin America, Caribbean
    Description

    The population of Latin America and the Caribbean increased from 175 million in 1950 to 515 million in 2000. Where did this growth occur? What is the magnitude of change in different places? How can we visualize the geographic dimensions of population change in Latin America and the Caribbean? We compiled census and other public domain information to analyze both temporal and geographic changes in population in the region. Our database includes population totals for over 18,300 administrative districts within Latin America and the Caribbean. Tabular census data was linked to an administrative division map of the region and handled in a geographic information system. We transformed vector population maps to raster surfaces to make the digital maps comparable with other commonly available geographic information. Validation and error-checking analyses were carried out to compare the database with other sources of population information. The digital population maps created in this project have been put in the public domain and can be downloaded from our website. The Latin America and Caribbean map is part of a larger multi-institutional effort to map population in developing countries. This is the third version of the Latin American and Caribbean population database and it contains new data from the 2000 round of censuses and new and improved accessibility surfaces for creating the raster maps.

  6. Demographics for US Census Tracts - 2010 (American Community Survey...

    • s.cnmilf.com
    • catalog.data.gov
    • +1more
    Updated Feb 25, 2025
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    U.S. Environmental Protection Agency, Research Triangle Park (Publisher, Distributor, Point of Contact) (2025). Demographics for US Census Tracts - 2010 (American Community Survey 2006-2010 Derived Summary Tables) [Dataset]. https://s.cnmilf.com/user74170196/https/catalog.data.gov/dataset/demographics-for-us-census-tracts-2010-american-community-survey-2006-2010-derived-summary-tabl11
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    Dataset updated
    Feb 25, 2025
    Dataset provided by
    United States Environmental Protection Agencyhttp://www.epa.gov/
    Area covered
    United States
    Description

    This map service displays data derived from the 2006-2010 American Community Survey (ACS). Values derived from the ACS and used for this map service include: Total Population, Population Density (per square mile), Percent Minority, Percent Below Poverty Level, Percent Age (less than 5, less than 18, and greater than 64), Percent Housing Units Built Before 1950, Percent (population) 25 years and over (with less than a High School Degree and with a High School Degree), Percent Linguistically Isolated Households, Population of American Indians and Alaskan Natives, Population of American Indians and Alaskan Natives Below Poverty Level. The map service was created for inclusion in US EPA mapping applications.

  7. w

    International Norm Dynamics and ‘the End of Poverty’ : Understanding the...

    • workwithdata.com
    Updated Jun 30, 2007
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    Work With Data (2007). International Norm Dynamics and ‘the End of Poverty’ : Understanding the Mi.. [Dataset]. https://www.workwithdata.com/object/international-norm-dynamics-and-the-end-of-poverty-understanding-the-millennium-development-goals-mdgs-book-by-sakiko-fukuda-parr-1950
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    Dataset updated
    Jun 30, 2007
    Dataset authored and provided by
    Work With Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    International Norm Dynamics and ‘the End of Poverty’ : Understanding the Millennium Development Goals (MDGs is a book. It was written by Sakiko Fukuda-Parr and published by Brooks World Poverty Institute, University of Manchester in 2009.

  8. Maryland Childhood Lead Poisoning Indicators (MDH)

    • hub.arcgis.com
    • dev-maryland.opendata.arcgis.com
    Updated Dec 13, 2017
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    Maryland Childhood Lead Poisoning Indicators (MDH) [Dataset]. https://hub.arcgis.com/app/1cbe164f5c764a38814c1917ba6b246e
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    Dataset updated
    Dec 13, 2017
    Dataset provided by
    https://arcgis.com/
    Authors
    ArcGIS Online for Maryland
    Description

    Use the map to discover cases of childhood lead poisoning, including children tested, children under 5 years old living in poverty and pre- and post-1950 housing indicators in Maryland.Provided by the Maryland Department of Health (MDH)

  9. f

    Data_Sheet_1_Growing Into Poverty: Reconstructing Peruvian Small-Scale...

    • frontiersin.figshare.com
    pdf
    Updated May 30, 2023
    + more versions
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    Santiago De la Puente; Rocío López de la Lama; Selene Benavente; Juan Carlos Sueiro; Daniel Pauly (2023). Data_Sheet_1_Growing Into Poverty: Reconstructing Peruvian Small-Scale Fishing Effort Between 1950 and 2018.pdf [Dataset]. http://doi.org/10.3389/fmars.2020.00681.s001
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    pdfAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    Frontiers
    Authors
    Santiago De la Puente; Rocío López de la Lama; Selene Benavente; Juan Carlos Sueiro; Daniel Pauly
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Small-scale fisheries are globally marginalized by management institutions; thus, they have to endure the consequences of ineffective regulations, environmental uncertainty, social traps and market inequity. Small-scale fisheries in Peru, one of the world’s leading fishing countries, are important contributors to national employment, food security and gross domestic product. Yet, relatively little is known about these fisheries and their evolution, except for the fact that the Peruvian small-scale fleet size is rapidly increasing. Here, we reconstructed small-scale fishing effort across time and developed several indicators using it to assess changes in the fleet’s fishing efficiency and economic performance. Segmented regression analysis was used to identify statistically significant breakpoints and changes in their trajectories between 1950 and 2018. Our results suggest that fishing effort has strongly increased, and at much faster rates than the catches, particularly since 2006. The combined effect of these trends results in significant declines in the fleet’s ratio indicators (i.e., catch per unit of effort, revenue per unit of effort, and fisher’s incomes relative to Peru’s minimum wage), suggesting that the growing fishing effort is unsustainable and uneconomic. The behavior of these indicators differs within the fleet, depending on the vessel’s main fishing method. Most small-scale fishers are currently living in relative poverty. Yet, fishers using the least selective fishing gears, or engaged in illegal fishing, had the most stable incomes over the past decade. These findings are discussed in detail by exploring the social, legal and economic drivers fostering fleet growth. Finally, a list of general recommendations aimed at improving fisheries sustainability and fisher’s wellbeing was produced, based on the local context, fisheries literature and common sense.

  10. d

    Social Change and Violent Crime - Dataset - B2FIND

    • b2find.dkrz.de
    Updated Apr 4, 2016
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    (2016). Social Change and Violent Crime - Dataset - B2FIND [Dataset]. https://b2find.dkrz.de/dataset/f352d183-5221-59c1-9b50-5517e9108d6c
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    Dataset updated
    Apr 4, 2016
    Description

    The research project is a subproject of the research association “Strengthening of integration potentials within a modern society” (Scientific head: Prof. Dr. Wilhelm Heitmeyer, Bielefeld) which contains 17 subprojects and is supported by the ministry of education and research. In almost all the economically highly developed countries violent crime increased significantly in the second part of the last century - in contrast to the long term trend of decline of individual (non-governmental) violence since the beginning of modern times. The authors develop an explanatory approach for these facts which is inspired mainly by Norbert Elias´s civilization theory and Emil Durkheim´s theory on society. Detailed time series on the development of different forms of violent crime are presented and set in relation with certain aspects of economic and social structural changes in three countries and also refer to the changes in integration of modern societies. The analysis deals especially with effectivity and legitimacy of the governmental monopoly of violence, the public beneficial security and power system, forms of building social capital, economic and social inequality, precarity of employment, different aspects of increasing economization of society, changes in family structures and usage of mass media and modern communication technologies. Register of tables in HISTAT: A: Crime statistics A.01 Frequency of types of crimes in different countries (1953-2000) A.02 Suspects by crimes of 100.000 inhabitants of Germany, England and Sweden (1955-1998) A.03 Murders, manslaughter and intentional injuries by other persons by sex of 100.000 persons after the statistics of causes of death (1953-2000) A.04 Clearance rate by types of crimes in Germany, England and Sweden (1953-1997) A.05 Prisoners of 100.000 inhabitants of Germany, Great Britain and Sweden (1950-2000) B: Key indicators for economic development in Germany, Great Britain, Sweden and the USA B1: Data on the overall economic framework B1.01 Percent changes in the real GDP per capita in purchasing power parities (1956-1987) B1.02 Percent changes in GDP per capita in prices from 2000 (1955-1998) B1.03 GDP of Germany, Sweden and the United Kingdom in purchasing power parities in percent og the US GDP (1950-1992) B1.04 Labor productivity index for different countries, base: USA 1996 = 100 (1950-1999) B1.05 GDP per hour of labor in different countries in EKS-$ from 1999 (1950-2003) B1.06 Foreign trade - exports and imports in percent of the GDP of different countries (1949-2003) B1.07 GDP, wages and Unit-Labor-Cost in different countries (1960-2003) B2: Unemployment B2.01 Standardized unemployment rate in different countries with regard to the entire working population (1960-2003) B2.02 Share of long-term unemployed of the total number of unemployed in different countries in percent (1992-2004) B2.03 Youth unemployment in different countries in percent (1970-2004) B2.04 Unemployment rate in percent by sex in different countries (1963-2000) B3: Employment B3.01 Employment rate in percent in different countries (1960-2000) B3.02 Share of fixed-term employees and persons in dependent employment in percent in different countries (1983-2004) B3.03 Share of part-time employees by sex compared to the entire working population in different countries (1973-2000) B3.04 Share of un-voluntarily part-time employees by sex in different countries (1983-2003) B3.05 Share of contract workers in different countries in percent of the entire working population (1975-2002) B3.06 Share of self-employed persons in different countries in percent of the entire working population (1970-2004) B3.07 Shift worker rate in different countries in percent (1992-2005) B3.08 Yearly working hours per employee in different countries (1950-2004) B3.09 Employment by sectors in different countries (1950-2003) B3.10 Share of employees in public civil services in percent of the population between 15 and 64 years in different countries (1960-1999) B3.11 Female population, female employees and female workers in percent of the population between 16 and 64 years in different countries (1960-2000) B3.12 Employees, self-employed persons in percent of the entire working population in different countries (1960-2000) B4: Taxes and duties B4.01 Taxes and social security contributions in percent of the GDP (1965-2002) B4.02 Social expenditure in percent of the GDP (1965-2002) B4.03 Social expenditure in percent of the GDP (1960-2000) B4.04 Public expenditure in percent of the GDP in different countries (1960-2003) B4.05 Education expenditure in percent of GDP (1950-2001) B5: Debt B5.01 Insolvencies in Germany and England (1960-2004) B5.02 Insolvencies with regard to total population in different countries (1950-2002) B5.03 Consumer credits in different countries (1960-2002) C: Income distribution in Germany, Great Britain and Sweden C.01 Income inequality in different countries Einkommensungleicheit in verschiedenen Ländern (1949-2000) C.02 Income inequality after different indices and calculations in different countries (1969-2000) C.03 Redistribution: Decline in Gini-Index through transfers and taxes in percent in different countries (1969-2000) C.04 Redistribution: Decline in Gini-Index through transfers and taxes in percent with a population structure as in the United Kingdom in 1969 in different countries (1969-2000) C.05 Redistribution efficiency: Decline in Gini-/ Atkinson-Index through transfers and the share of social expenditure of the GDP in different countries (1969-2000) C.06 Index for concentration of transfers in different countries (1981-2000) C.07 Distribution of wealth in West-Germany (1953-1998) C.08 Distribution of wealth in the United Kingdom (1950-2000) C.09 Distribution of wealth in Sweden (1951-1999) C.10 Relative income poverty in different countries (1969-2000) C.11 Reduction of poverty in different countries (1969-2000) C.12 Neocorporalism index in different countries (1960-1994) D: Perception of safety D.01 Satisfaction with democracy in different countries (1976-2004) D.02 Revenues and employees in the private security sector in different countries (1950-2001) D.03 Decommodification-Score in different countries (1971-2002) E: Demographics E.01 Birth rates: Birth per 1000 women between 15 and 49 years in different countries (1951-2001) E.02 Fertility rate in different countries (1950-2004) E.03 Marriages per 100.000 persons in different countries (1950-2003) E.04 Share of foreigners of the entire population in different countries (1951-2002) E.05 Internal migration in different countries (1952-2001)

  11. A

    Neighborhood Demographics

    • data.boston.gov
    pdf, xlsx
    Updated Feb 23, 2021
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    Neighborhood Demographics [Dataset]. https://data.boston.gov/dataset/neighborhood-demographics
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    pdf(476137), pdf(508811), xlsx(158232), xlsx(15582925), xlsx(156459)Available download formats
    Dataset updated
    Feb 23, 2021
    Dataset authored and provided by
    Boston Planning & Development Agency
    License

    ODC Public Domain Dedication and Licence (PDDL) v1.0http://www.opendatacommons.org/licenses/pddl/1.0/
    License information was derived automatically

    Description

    Demographic Data for Boston’s Neighborhoods, 1950-2019

    Boston is a city defined by the unique character of its many neighborhoods. The historical tables created by the BPDA Research Division from U.S. Census Decennial data describe demographic changes in Boston’s neighborhoods from 1950 through 2010 using consistent tract-based geographies. For more analysis of these data, please see Historical Trends in Boston's Neighborhoods. The most recent available neighborhood demographic data come from the 5-year American Community Survey (ACS). The ACS tables also present demographic data for Census-tract approximations of Boston’s neighborhoods. For pdf versions of the data presented here plus earlier versions of the analysis, please see Boston in Context.

  12. United States: share of deaths from homicide 1950-2020

    • statista.com
    Updated Jul 4, 2024
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    Statista (2024). United States: share of deaths from homicide 1950-2020 [Dataset]. https://www.statista.com/statistics/1386331/us-share-deaths-homicide-historical/
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    Dataset updated
    Jul 4, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In the 21st century, homicide has been responsible for roughly 0.6 to 0.8 percent of all deaths in the United States. While this is higher than annual rates observed in the post-WWII era, it is significantly less than the rates seen between the mid-1960s and mid-1990s, where over one percent of all deaths in the U.S. were from homicide in most years. Crime wave of the late 20th century There are a variety of factors attributed to the crime wave of the late 20th century. Demographic factors include the arrival of the baby boomer generation into adolescence, a rise in urbanization, and a growing share of the population living in poverty. A series of economic recessions saw the prosperity of the post-war period come to an end, and many turned to crime in response.

    This coincided with a rise in the illegal drug trade and drug consumption, as well as the federal government's response via the so-called "War on Drugs", which changed the dynamics of inter-city crime and law enforcement for decades to come. A rise in incarceration rates has been cited as one of the reasons for the "Great Crime Decline" of the 1990s, although many are skeptical of its long-term effectiveness.

  13. Population of Nigeria 1950-2024

    • statista.com
    Updated Aug 1, 2024
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    Statista (2024). Population of Nigeria 1950-2024 [Dataset]. https://www.statista.com/statistics/1122838/population-of-nigeria/
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    Dataset updated
    Aug 1, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Nigeria
    Description

    As of July 2024, Nigeria's population was estimated at around 229.5 million. Between 1965 and 2024, the number of people living in Nigeria increased at an average rate of over two percent. In 2024, the population grew by 2.42 percent compared to the previous year. Nigeria is the most populous country in Africa. By extension, the African continent records the highest growth rate in the world. Africa's most populous country Nigeria was the most populous country in Africa as of 2023. As of 2022, Lagos held the distinction of being Nigeria's biggest urban center, a status it also retained as the largest city across all of sub-Saharan Africa. The city boasted an excess of 17.5 million residents. Notably, Lagos assumed the pivotal roles of the nation's primary financial hub, cultural epicenter, and educational nucleus. Furthermore, Lagos was one of the largest urban agglomerations in the world. Nigeria's youthful population In Nigeria, a significant 50 percent of the populace is under the age of 19. The most prominent age bracket is constituted by those up to four years old: comprising 8.3 percent of men and eight percent of women as of 2021. Nigeria boasts one of the world's most youthful populations. On a broader scale, both within Africa and internationally, Niger maintains the lowest median age record. Nigeria secures the 20th position in global rankings. Furthermore, the life expectancy in Nigeria is an average of 62 years old. However, this is different between men and women. The main causes of death have been neonatal disorders, malaria, and diarrheal diseases.

  14. Natural rate of population growth by continent 2014

    • statista.com
    Updated Aug 28, 2014
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    Statista (2014). Natural rate of population growth by continent 2014 [Dataset]. https://www.statista.com/statistics/270859/natural-rate-of-population-growth-by-continent/
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    Dataset updated
    Aug 28, 2014
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    The statistic shows the natural rate of population growth by continent in the middle of 2014. The natural rate of population growth in Africa was 2.5 percent in the middle of 2014.The natural rate of population growth arises from the birth rate minus the death rate and without including the effects of migration.Population growthAs shown in the statistic above, the natural rate of population growth continues to increase on almost every continent in 2013.Due to medical advances, better living conditions and the increase of agricultural productivity the world population is continuously rising. The development of the world population from 1950 to 2030 is estimated to be tripled according to United Nations’ data.The majority of the world population lives in Asia, but the population in Africa is forecasted to rise from 1,031 in year 2010 up to 4,185 in year 2100. This forecast is based on the rapid growth of the developing countries, such as Africa. Developing countries are well known for its urban residents living in slum conditions. A slum is defined as a thickly populated, metropolitan area with bad living conditions and people living below the poverty line.The urban population in developing countries, who lived in slums has increased steadily for the last decades. In 1990, around 656.7 million people were living in slums in developing countries, while this number rose to 827.7 million people living in slums of developing countries in 2010.The number of people living in slums worldwide is estimated to grow from 1,145,984 in year 2010 to 1,477,291 in year 2020 by the UN-HABITAT. In some countries the population living in slums grows faster than in others, naturally. The percentage of urban slum dwellers in Morocco for example nearly doubled from 13 percent to 24 percent between 2000 and 2010, while the same rate in Turkey only grew moderately from 13 to 18 percent.

  15. Population of Argentina from 1800 to 2020

    • statista.com
    Updated Aug 9, 2024
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    Statista (2024). Population of Argentina from 1800 to 2020 [Dataset]. https://www.statista.com/statistics/1066826/total-population-argentina-1800-2020/
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    Dataset updated
    Aug 9, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Argentina
    Description

    Much of Argentina's modern society and culture is rooted in the Spanish Empire's colonization of the region in the 16th century, along with the influx of European migration to the country around the turn of the twentieth century. There are records of human presence in the region dating back to the paleolithic period (3.3 million to 9,650 BCE) and the Incan Empire is known to have extended into the region before Columbus' arrival in the Americas in 1492; however most of this culture and civilization was wiped out by Europeans in the 1500s. During Spanish colonization, the majority of Argentina was a part of the Viceroyalty of the Río de la Plata (which also included territories in modern-day Chile, Bolivia, Paraguay and Uruguay) and was still economically bound to the Spanish crown. With a population of just 0.5 million in 1800, a combination of mass migration (particularly from Southern Europe) and high birth rates have helped Argentina's population grow above 45 million over the past two centuries.

    Independence, Immigration and the Gold rush The age of enlightenment and revolutions in Europe inspired a longing in the region for independence, and Napoleon's invasion of Spain in 1808 was the catalyst for the Spanish Empire's downfall in the Americas, with Argentinian independence declared in 1816. The Spanish military was then defeated in mid 1800s, but for the majority of the next century there was little political or economic stability in the region, with several small-scale civil wars between the different Argentinian states. Starting with the government of Julio Argentino Roca in 1880, ten consecutive federal governments actively pursued a liberal economic policy which led to a massive wave of state-promoted European immigration; so much so that the number of migrants received by Argentina in that period was second only to the United States worldwide. This immigration led to the rejuvenation and reinvention of Argentinian society and economy to such an extent, that by 1908 the country had the seventh largest economy in the world. This in turn led to further immigration and higher standards of living. It is also worth noting that the Tierra del Fuego gold rush that started around 1883 and lasted to around 1906 also contributed greatly to immigration. Unfortunately, Argentina was unable to retain it's acquired economic might; it failed to develop industrially at the same speed as the rest of the world, and the Great Depression of 1929 set in motion an economic decline that contributed to much civil and political unrest.

    The impact of Perón, and modern Argentina
    The election of Juan Perón in 1946 proved to be a defining point in Argentina's history; Perón was a demagogue who imprisoned (and reportedly tortured) his rivals and critics, and whose isolationist policies and radical spending contributed to severe inflation. With the death of Perón's extremely popular wife, Eva Duarte, in 1952, his popularity declined and he was eventually exiled following a coup in 1955. Despite this exile, Perón returned in 1973 and re-assumed the presidency, until his death in 1974, where he was the succeeded by his third wife. Peron's political philosophy, known as "Peronism", is a mixture of right wing nationalist and left wing populist theories; although Peronism has developed greatly over time, its core belief system is the foundation of Argentina's largest party, the Justicialist Party (although they have become increasingly left wing since the Kirchner administrations).

    With the expulsion of Perón in 1955, Argentina's trend of military coups and failed governments continued, and the country faced further economic instability. Despite all of this, medical advancements and improvements to quality of life across the globe helped Argentina's mortality rate to decline, and the population grew at a faster rate than ever before. In April 1982, Argentine forces invaded the British territory of the Falkland Islands, leading to a ten week war between the nations, that ended with Argentina's surrender in June. The war had a relatively small death toll, but contributed to riots in Buenos Aires, which helped to topple the military dictatorship and established the current democratic system. Following a severe recession that began in 2001, President Néstor Kirchner assumed office in 2003, and his wife took over from 2007 to 2015; during the Kirchner administrations, more than eleven million people were lifted out of poverty, and Argentina's economy grew in stature to become one of the Group of Twenty.

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Statista (2024). Share of the population living in poverty by race in the United States 1959-2023 [Dataset]. https://www.statista.com/statistics/1225017/poverty-share-by-race-race-us/
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Share of the population living in poverty by race in the United States 1959-2023

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Dataset updated
Oct 28, 2024
Dataset authored and provided by
Statistahttp://statista.com/
Area covered
United States
Description

In the U.S., the share of the population living in poverty fluctuated significantly throughout the six decades between 1987 and 2023. In 2023, the poverty level across all races and ethnicities was 11.1 percent. Black Americans have been the ethnic group with the highest share of their population living in poverty almost every year since 1974. In 1979 alone, Black poverty was well over double the national average, and over four times the poverty rate in white communities; in 1982, almost 48 percent of the Black population lived in poverty. Although poverty rates have been trending downward across all ethnic groups, 17.8 percent of Black Americans and 18.9 percent of American Indian and Alaskan Natives still lived below the poverty line in 2022.

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