27 datasets found
  1. Data from: Valuation of Specific Crime Rates in the United States, 1980 and...

    • catalog.data.gov
    • icpsr.umich.edu
    • +1more
    Updated Mar 12, 2025
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    National Institute of Justice (2025). Valuation of Specific Crime Rates in the United States, 1980 and 1990 [Dataset]. https://catalog.data.gov/dataset/valuation-of-specific-crime-rates-in-the-united-states-1980-and-1990-cb3f7
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    Dataset updated
    Mar 12, 2025
    Dataset provided by
    National Institute of Justicehttp://nij.ojp.gov/
    Area covered
    United States
    Description

    This project was designed to isolate the effects that individual crimes have on wage rates and housing prices, as gauged by individuals' and households' decisionmaking preferences changing over time. Additionally, this project sought to compute a dollar value that individuals would bear in their wages and housing costs to reduce the rates of specific crimes. The study used multiple decades of information obtained from counties across the United States to create a panel dataset. This approach was designed to compensate for the problem of collinearity by tracking how housing and occupation choices within particular locations changed over the decade considering all amenities or disamenities, including specific crime rates. Census data were obtained for this project from the Integrated Public Use Microdata Series (IPUMS) constructed by Ruggles and Sobek (1997). Crime data were obtained from the Federal Bureau of Investigation's Uniform Crime Reports (UCR). Other data were collected from the American Chamber of Commerce Researchers Association, County and City Data Book, National Oceanic and Atmospheric Administration, and Environmental Protection Agency. Independent variables for the Wages Data (Part 1) include years of education, school enrollment, sex, ability to speak English well, race, veteran status, employment status, and occupation and industry. Independent variables for the Housing Data (Part 2) include number of bedrooms, number of other rooms, building age, whether unit was a condominium or detached single-family house, acreage, and whether the unit had a kitchen, plumbing, public sewers, and water service. Both files include the following variables as separating factors: census geographic division, cost-of-living index, percentage unemployed, percentage vacant housing, labor force employed in manufacturing, living near a coastline, living or working in the central city, per capita local taxes, per capita intergovernmental revenue, per capita property taxes, population density, and commute time to work. Lastly, the following variables measured amenities or disamenities: average precipitation, temperature, windspeed, sunshine, humidity, teacher-pupil ratio, number of Superfund sites, total suspended particulate in air, and rates of murder, rape, robbery, aggravated assault, burglary, larceny, auto theft, violent crimes, and property crimes.

  2. T

    Hong Kong Consumer Price Index (CPI)

    • tradingeconomics.com
    • ar.tradingeconomics.com
    • +15more
    csv, excel, json, xml
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    TRADING ECONOMICS, Hong Kong Consumer Price Index (CPI) [Dataset]. https://tradingeconomics.com/hong-kong/consumer-price-index-cpi
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    csv, xml, excel, jsonAvailable download formats
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Oct 31, 1980 - Apr 30, 2025
    Area covered
    Hong Kong
    Description

    Consumer Price Index CPI in Hong Kong remained unchanged at 108.60 points in March. This dataset provides the latest reported value for - Hong Kong Consumer Price Index (CPI) - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  3. T

    Brazil Inflation Rate

    • tradingeconomics.com
    • ru.tradingeconomics.com
    • +14more
    csv, excel, json, xml
    Updated May 9, 2025
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    TRADING ECONOMICS (2025). Brazil Inflation Rate [Dataset]. https://tradingeconomics.com/brazil/inflation-cpi
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    json, excel, xml, csvAvailable download formats
    Dataset updated
    May 9, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Dec 31, 1980 - Apr 30, 2025
    Area covered
    Brazil
    Description

    Inflation Rate in Brazil increased to 5.53 percent in April from 5.48 percent in March of 2025. This dataset provides - Brazil Inflation Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  4. F

    Inflation, consumer prices for the United States

    • fred.stlouisfed.org
    json
    Updated Apr 16, 2025
    + more versions
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    (2025). Inflation, consumer prices for the United States [Dataset]. https://fred.stlouisfed.org/series/FPCPITOTLZGUSA
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    jsonAvailable download formats
    Dataset updated
    Apr 16, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    United States
    Description

    Graph and download economic data for Inflation, consumer prices for the United States (FPCPITOTLZGUSA) from 1960 to 2024 about consumer, CPI, inflation, price index, indexes, price, and USA.

  5. T

    Sweden Inflation Rate

    • tradingeconomics.com
    • zh.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated May 14, 2025
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    TRADING ECONOMICS (2025). Sweden Inflation Rate [Dataset]. https://tradingeconomics.com/sweden/inflation-cpi
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    csv, excel, json, xmlAvailable download formats
    Dataset updated
    May 14, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jan 31, 1980 - May 31, 2025
    Area covered
    Sweden
    Description

    Inflation Rate in Sweden decreased to 0.20 percent in May from 0.30 percent in April of 2025. This dataset provides - Sweden Inflation Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  6. Global inflation rate from 2000 to 2029

    • statista.com
    • ai-chatbox.pro
    Updated Jan 10, 2025
    + more versions
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    Statista (2025). Global inflation rate from 2000 to 2029 [Dataset]. https://www.statista.com/statistics/256598/global-inflation-rate-compared-to-previous-year/
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    Dataset updated
    Jan 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Oct 2024
    Area covered
    Worldwide
    Description

    Inflation is generally defined as the continued increase in the average prices of goods and services in a given region. Following the extremely high global inflation experienced in the 1980s and 1990s, global inflation has been relatively stable since the turn of the millennium, usually hovering between three and five percent per year. There was a sharp increase in 2008 due to the global financial crisis now known as the Great Recession, but inflation was fairly stable throughout the 2010s, before the current inflation crisis began in 2021. Recent years Despite the economic impact of the coronavirus pandemic, the global inflation rate fell to 3.26 percent in the pandemic's first year, before rising to 4.66 percent in 2021. This increase came as the impact of supply chain delays began to take more of an effect on consumer prices, before the Russia-Ukraine war exacerbated this further. A series of compounding issues such as rising energy and food prices, fiscal instability in the wake of the pandemic, and consumer insecurity have created a new global recession, and global inflation in 2024 is estimated to have reached 5.76 percent. This is the highest annual increase in inflation since 1996. Venezuela Venezuela is the country with the highest individual inflation rate in the world, forecast at around 200 percent in 2022. While this is figure is over 100 times larger than the global average in most years, it actually marks a decrease in Venezuela's inflation rate, which had peaked at over 65,000 percent in 2018. Between 2016 and 2021, Venezuela experienced hyperinflation due to the government's excessive spending and printing of money in an attempt to curve its already-high inflation rate, and the wave of migrants that left the country resulted in one of the largest refugee crises in recent years. In addition to its economic problems, political instability and foreign sanctions pose further long-term problems for Venezuela. While hyperinflation may be coming to an end, it remains to be seen how much of an impact this will have on the economy, how living standards will change, and how many refugees may return in the coming years.

  7. T

    Vital Signs: Poverty - by county (2022)

    • data.bayareametro.gov
    application/rdfxml +5
    Updated Jan 3, 2023
    + more versions
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    (2023). Vital Signs: Poverty - by county (2022) [Dataset]. https://data.bayareametro.gov/dataset/Vital-Signs-Poverty-by-county-2022-/ft5b-u25x
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    csv, json, tsv, application/rdfxml, xml, application/rssxmlAvailable download formats
    Dataset updated
    Jan 3, 2023
    Description

    VITAL SIGNS INDICATOR
    Poverty (EQ5)

    FULL MEASURE NAME
    The share of the population living in households that earn less than 200 percent of the federal poverty limit

    LAST UPDATED
    January 2023

    DESCRIPTION
    Poverty refers to the share of the population living in households that earn less than 200 percent of the federal poverty limit, which varies based on the number of individuals in a given household. It reflects the number of individuals who are economically struggling due to low household income levels.

    DATA SOURCE
    U.S Census Bureau: Decennial Census - http://www.nhgis.org
    1980-2000

    U.S. Census Bureau: American Community Survey - https://data.census.gov/
    2007-2021
    Form C17002

    CONTACT INFORMATION
    vitalsigns.info@mtc.ca.gov

    METHODOLOGY NOTES (across all datasets for this indicator)
    The U.S. Census Bureau defines a national poverty level (or household income) that varies by household size, number of children in a household, and age of householder. The national poverty level does not vary geographically even though cost of living is different across the United States. For the Bay Area, where cost of living is high and incomes are correspondingly high, an appropriate poverty level is 200% of poverty or twice the national poverty level, consistent with what was used for past equity work at MTC and ABAG. For comparison, however, both the national and 200% poverty levels are presented.

    For Vital Signs, the poverty rate is defined as the number of people (including children) living below twice the poverty level divided by the number of people for whom poverty status is determined. The household income definitions for poverty change each year to reflect inflation. The official poverty definition uses money income before taxes and does not include capital gains or non-cash benefits (such as public housing, Medicaid and food stamps).

    For the national poverty level definitions by year, see: US Census Bureau Poverty Thresholds - https://www.census.gov/data/tables/time-series/demo/income-poverty/historical-poverty-thresholds.html.

    For an explanation on how the Census Bureau measures poverty, see: How the Census Bureau Measures Poverty - https://www.census.gov/topics/income-poverty/poverty/guidance/poverty-measures.html.

    American Community Survey (ACS) 1-year data is used for larger geographies – Bay counties and most metropolitan area counties – while smaller geographies rely upon 5-year rolling average data due to their smaller sample sizes. Note that 2020 data uses the 5-year estimates because the ACS did not collect 1-year data for 2020.

    To be consistent across metropolitan areas, the poverty definition for non-Bay Area metros is twice the national poverty level. Data were not adjusted for varying income and cost of living levels across the metropolitan areas.

  8. Asking rent for unfurnished apartments in the U.S. 1980-2024

    • statista.com
    Updated May 2, 2025
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    Statista (2025). Asking rent for unfurnished apartments in the U.S. 1980-2024 [Dataset]. https://www.statista.com/statistics/200223/median-apartment-rent-in-the-us-since-1980/
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    Dataset updated
    May 2, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The monthly median asking rent for unfurnished apartments in the United States rose by about 51 U.S. dollars in 2024. In the third quarter of 2024, the median rent amounted to 1,847 U.S. dollars, up from 1,796 U.S. dollars in 2023. This increase was in line with a decade of steady growth, interrupted only in 2020 during the COVID-19 pandemic and in 2023. The U.S. rental market As rental apartment vacancy rates fall, rents are on the rise. This makes it more difficult for Americans to, first, find an apartment to rent, and second, find an apartment which they can afford. Nevertheless, renting has become much more common in recent years, with the number of renter households having substantially increased in the past two decades. In 2024, there were approximately 45.5 million renter households in the U.S. Rents in different states Of course, rents vary from state to state. The most expensive rents are found in Hawaii, California, District of Colombia, New Jersey, and Florida. Following the COVID-19 pandemic, growth was the strongest in the Sun Belt states, and especially in states with lower costs of living, such as Texas. In Austin, TX, the average rent soared by nearly 26 percent in 2021, and remained elevated, despite a slight decline in 2023.

  9. Consumer Price Index, annual average, not seasonally adjusted

    • www150.statcan.gc.ca
    • datasets.ai
    • +3more
    Updated Jan 21, 2025
    + more versions
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    Government of Canada, Statistics Canada (2025). Consumer Price Index, annual average, not seasonally adjusted [Dataset]. http://doi.org/10.25318/1810000501-eng
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    Dataset updated
    Jan 21, 2025
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    Annual indexes for major components and special aggregates of the Consumer Price Index (CPI), for Canada, provinces, Whitehorse, Yellowknife and Iqaluit. Data are presented for the last five years. The base year for the index is 2002=100.

  10. T

    Denmark Consumer Price Index (CPI)

    • tradingeconomics.com
    • fr.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Apr 15, 2025
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    TRADING ECONOMICS (2025). Denmark Consumer Price Index (CPI) [Dataset]. https://tradingeconomics.com/denmark/consumer-price-index-cpi
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    json, xml, csv, excelAvailable download formats
    Dataset updated
    Apr 15, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jan 31, 1980 - Apr 30, 2025
    Area covered
    Denmark
    Description

    Consumer Price Index CPI in Denmark decreased to 120.20 points in March from 120.80 points in February of 2025. This dataset provides - Denmark Consumer Price Index (CPI) - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  11. H

    Replication Data for: The Fading American Dream: Trends in Absolute Income...

    • dataverse.harvard.edu
    • search.dataone.org
    Updated Feb 23, 2022
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    Raj Chetty; David Grusky; Maximilian Hell; Nathaniel Hendren; Robert Manduca; Jimmy Narang (2022). Replication Data for: The Fading American Dream: Trends in Absolute Income Mobility Since 1940 [Dataset]. http://doi.org/10.7910/DVN/B9TEWM
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Feb 23, 2022
    Dataset provided by
    Harvard Dataverse
    Authors
    Raj Chetty; David Grusky; Maximilian Hell; Nathaniel Hendren; Robert Manduca; Jimmy Narang
    License

    https://dataverse.harvard.edu/api/datasets/:persistentId/versions/1.0/customlicense?persistentId=doi:10.7910/DVN/B9TEWMhttps://dataverse.harvard.edu/api/datasets/:persistentId/versions/1.0/customlicense?persistentId=doi:10.7910/DVN/B9TEWM

    Description

    This dataset contains replication files for "The Fading American Dream: Trends in Absolute Income Mobility Since 1940" by Raj Chetty, David Grusky, Maximilian Hell, Nathaniel Hendren, Robert Manduca, and Jimmy Narang. For more information, see https://opportunityinsights.org/paper/the-fading-american-dream/. A summary of the related publication follows. One of the defining features of the “American Dream” is the ideal that children have a higher standard of living than their parents. We assess whether the U.S. is living up to this ideal by estimating rates of “absolute income mobility” – the fraction of children who earn more than their parents – since 1940. We measure absolute mobility by comparing children’s household incomes at age 30 (adjusted for inflation using the Consumer Price Index) with their parents’ household incomes at age 30. We find that rates of absolute mobility have fallen from approximately 90% for children born in 1940 to 50% for children born in the 1980s. Absolute income mobility has fallen across the entire income distribution, with the largest declines for families in the middle class. These findings are unaffected by using alternative price indices to adjust for inflation, accounting for taxes and transfers, measuring income at later ages, and adjusting for changes in household size. Absolute mobility fell in all 50 states, although the rate of decline varied, with the largest declines concentrated in states in the industrial Midwest, such as Michigan and Illinois. The decline in absolute mobility is especially steep – from 95% for children born in 1940 to 41% for children born in 1984 – when we compare the sons’ earnings to their fathers’ earnings. Why have rates of upward income mobility fallen so sharply over the past half-century? There have been two important trends that have affected the incomes of children born in the 1980s relative to those born in the 1940s and 1950s: lower Gross Domestic Product (GDP) growth rates and greater inequality in the distribution of growth. We find that most of the decline in absolute mobility is driven by the more unequal distribution of economic growth rather than the slowdown in aggregate growth rates. When we simulate an economy that restores GDP growth to the levels experienced in the 1940s and 1950s but distributes that growth across income groups as it is distributed today, absolute mobility only increases to 62%. In contrast, maintaining GDP at its current level but distributing it more broadly across income groups – at it was distributed for children born in the 1940s – would increase absolute mobility to 80%, thereby reversing more than two-thirds of the decline in absolute mobility. These findings show that higher growth rates alone are insufficient to restore absolute mobility to the levels experienced in mid-century America. Under the current distribution of GDP, we would need real GDP growth rates above 6% per year to return to rates of absolute mobility in the 1940s. Intuitively, because a large fraction of GDP goes to a small fraction of high-income households today, higher GDP growth does not substantially increase the number of children who earn more than their parents. Of course, this does not mean that GDP growth does not matter: changing the distribution of growth naturally has smaller effects on absolute mobility when there is very little growth to be distributed. The key point is that increasing absolute mobility substantially would require more broad-based economic growth. We conclude that absolute mobility has declined sharply in America over the past half-century primarily because of the growth in inequality. If one wants to revive the “American Dream” of high rates of absolute mobility, one must have an interest in growth that is shared more broadly across the income distribution.

  12. M

    Pakistan Inflation Rate 1960-2025

    • macrotrends.net
    csv
    Updated Apr 30, 2025
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    MACROTRENDS (2025). Pakistan Inflation Rate 1960-2025 [Dataset]. https://www.macrotrends.net/global-metrics/countries/PAK/pakistan/inflation-rate-cpi
    Explore at:
    csvAvailable download formats
    Dataset updated
    Apr 30, 2025
    Dataset authored and provided by
    MACROTRENDS
    License

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

    Time period covered
    Jan 1, 1960 - May 1, 2025
    Area covered
    Pakistan
    Description
    Pakistan inflation rate for 2023 was 30.77%, a 10.89% increase from 2022.
    <ul style='margin-top:20px;'>
    
    <li>Pakistan inflation rate for 2022 was <strong>19.87%</strong>, a <strong>10.38% increase</strong> from 2021.</li>
    <li>Pakistan inflation rate for 2021 was <strong>9.50%</strong>, a <strong>0.24% decline</strong> from 2020.</li>
    <li>Pakistan inflation rate for 2020 was <strong>9.74%</strong>, a <strong>0.84% decline</strong> from 2019.</li>
    </ul>Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.
    
  13. U.S. minimum wage: real and nominal value 1938-2024

    • statista.com
    Updated Jul 26, 2024
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    Statista (2024). U.S. minimum wage: real and nominal value 1938-2024 [Dataset]. https://www.statista.com/statistics/1065466/real-nominal-value-minimum-wage-us/
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    Dataset updated
    Jul 26, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    When adjusted for inflation, the 2024 federal minimum wage in the United States is over 40 percent lower than the minimum wage in 1970. Although the real dollar minimum wage in 1970 was only 1.60 U.S. dollars, when expressed in nominal 2024 dollars this increases to 13.05 U.S. dollars. This is a significant difference from the federal minimum wage in 2024 of 7.25 U.S. dollars.

  14. g

    general authority for statistics gastat - Cost of living Indices by Main...

    • gimi9.com
    + more versions
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    general authority for statistics gastat - Cost of living Indices by Main Expenditure Divisions (1980-2013) | gimi9.com [Dataset]. https://gimi9.com/dataset/sa_ab297931-0cef-4eb2-90cf-76c657dbb20d/
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    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    🇸🇦 사우디아라비아

  15. Monthly average retail prices for food and other selected products

    • www150.statcan.gc.ca
    • open.canada.ca
    • +1more
    Updated Mar 16, 2022
    + more versions
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    Government of Canada, Statistics Canada (2022). Monthly average retail prices for food and other selected products [Dataset]. http://doi.org/10.25318/1810000201-eng
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    Dataset updated
    Mar 16, 2022
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    Monthly average retail prices for food, household supplies, personal care items, cigarettes and gasoline. Prices are presented for the current month and previous four months. Prices are in Canadian current dollars.

  16. U.S. median household income 1990-2023

    • statista.com
    Updated Sep 16, 2024
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    Statista (2024). U.S. median household income 1990-2023 [Dataset]. https://www.statista.com/statistics/200838/median-household-income-in-the-united-states/
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    Dataset updated
    Sep 16, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    This statistic shows the median household income in the United States from 1990 to 2023 in 2023 U.S. dollars. The median household income was 80,610 U.S. dollars in 2023, an increase from the previous year. Household incomeThe median household income depicts the income of households, including the income of the householder and all other individuals aged 15 years or over living in the household. Income includes wages and salaries, unemployment insurance, disability payments, child support payments received, regular rental receipts, as well as any personal business, investment, or other kinds of income received routinely. The median household income in the United States varies from state to state. In 2020, the median household income was 86,725 U.S. dollars in Massachusetts, while the median household income in Mississippi was approximately 44,966 U.S. dollars at that time. Household income is also used to determine the poverty line in the United States. In 2021, about 11.6 percent of the U.S. population was living in poverty. The child poverty rate, which represents people under the age of 18 living in poverty, has been growing steadily over the first decade since the turn of the century, from 16.2 percent of the children living below the poverty line in year 2000 to 22 percent in 2010. In 2021, it had lowered to 15.3 percent. The state with the widest gap between the rich and the poor was New York, with a Gini coefficient score of 0.51 in 2019. The Gini coefficient is calculated by looking at average income rates. A score of zero would reflect perfect income equality and a score of one indicates a society where one person would have all the money and all other people have nothing.

  17. T

    Nigeria Consumer Price Index (CPI)

    • tradingeconomics.com
    • ar.tradingeconomics.com
    • +14more
    csv, excel, json, xml
    Updated Apr 16, 2025
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    TRADING ECONOMICS (2025). Nigeria Consumer Price Index (CPI) [Dataset]. https://tradingeconomics.com/nigeria/consumer-price-index-cpi
    Explore at:
    json, csv, xml, excelAvailable download formats
    Dataset updated
    Apr 16, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jan 31, 1995 - Apr 30, 2025
    Area covered
    Nigeria
    Description

    Consumer Price Index CPI in Nigeria increased to 119.50 points in April from 117.30 points in March of 2025. This dataset provides - Nigeria Consumer Price Index (CPI) - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  18. M

    Germany Inflation Rate 1960-2025

    • macrotrends.net
    csv
    Updated Apr 30, 2025
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    MACROTRENDS (2025). Germany Inflation Rate 1960-2025 [Dataset]. https://www.macrotrends.net/global-metrics/countries/DEU/germany/inflation-rate-cpi
    Explore at:
    csvAvailable download formats
    Dataset updated
    Apr 30, 2025
    Dataset authored and provided by
    MACROTRENDS
    License

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

    Time period covered
    Jan 1, 1960 - May 28, 2025
    Area covered
    Germany
    Description
    Germany inflation rate for 2023 was 5.95%, a 0.93% decline from 2022.
    <ul style='margin-top:20px;'>
    
    <li>Germany inflation rate for 2022 was <strong>6.87%</strong>, a <strong>3.81% increase</strong> from 2021.</li>
    <li>Germany inflation rate for 2021 was <strong>3.07%</strong>, a <strong>2.92% increase</strong> from 2020.</li>
    <li>Germany inflation rate for 2020 was <strong>0.14%</strong>, a <strong>1.3% decline</strong> from 2019.</li>
    </ul>Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.
    
  19. M

    Ireland Inflation Rate 1960-2025

    • macrotrends.net
    csv
    Updated Apr 30, 2025
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    MACROTRENDS (2025). Ireland Inflation Rate 1960-2025 [Dataset]. https://www.macrotrends.net/global-metrics/countries/IRL/ireland/inflation-rate-cpi
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    csvAvailable download formats
    Dataset updated
    Apr 30, 2025
    Dataset authored and provided by
    MACROTRENDS
    License

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

    Time period covered
    Jan 1, 1960 - May 28, 2025
    Area covered
    ireland
    Description
    Ireland inflation rate for 2023 was 6.30%, a 1.53% decline from 2022.
    <ul style='margin-top:20px;'>
    
    <li>Ireland inflation rate for 2022 was <strong>7.83%</strong>, a <strong>5.49% increase</strong> from 2021.</li>
    <li>Ireland inflation rate for 2021 was <strong>2.34%</strong>, a <strong>2.67% increase</strong> from 2020.</li>
    <li>Ireland inflation rate for 2020 was <strong>-0.33%</strong>, a <strong>1.26% decline</strong> from 2019.</li>
    </ul>Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.
    
  20. U.S. annual inflation rate 1990-2023

    • statista.com
    Updated Aug 21, 2024
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    Statista (2024). U.S. annual inflation rate 1990-2023 [Dataset]. https://www.statista.com/statistics/191077/inflation-rate-in-the-usa-since-1990/
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    Dataset updated
    Aug 21, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In economics, the inflation rate is a measure of the change in price of a basket of goods. The most common measure being the consumer price index. It is the percentage rate of change in price level over time, and also indicates the rate of decrease in the purchasing power of money. The annual rate of inflation for 2023, was 4.1 percent higher in the United States when compared to the previous year. More information on inflation and the consumer price index can be found on our dedicated topic page. Additionally, the monthly rate of inflation in the United States can be accessed here. Inflation and purchasing power Inflation is a key economic indicator, and gives economists and consumers alike a look at changes in prices in the wider economy. For example, if an average pair of socks costs 100 dollars one year and 105 dollars the following year, the inflation rate is five percent. This means the amount of goods an individual can purchase with a unit of currency has decreased. This concept is often referred to as purchasing power. The data presents the average rate of inflation in a year, whereas the monthly measure of inflation measures the change in prices compared with prices one year ago. For example, monthly inflation in the U.S. reached a peak in June 2022 at 9.1 percent. This means that prices were 9.1 percent higher than they were in June of 2021. The purchasing power is the extent to which a person has available funds to make purchases. The Big Mac Index has been published by The Economist since 1986 and exemplifies purchasing power on a global scale, allowing us to see note the differences between different countries currencies. Switzerland for example, has the most expensive Big Mac in the world, costing consumers 6.71 U.S. dollars as of July 2022, whereas a Big Mac cost 5.15 dollars in the United States, and 4.77 dollars in the Euro area. One of the most important tools in influencing the rate of inflation is interest rates. The Federal Reserve of the United States has the capacity to make changes to the federal interest rate . Changes to the rate of inflation are thought to be an imbalance between supply and demand. After COVID-19 related lockdowns came to an end there was a sudden increase in demand for goods and services with consumers having more funds than usual thanks to reduced spending during lockdown and government funded economic support. Additionally, supply-chain related bottlenecks also due to lockdowns around the world and the Russian invasion of Ukraine meant that there was a decrease in the supply of goods and services. By increasing the interest rate, the Federal Reserve aims to reduce spending, and thus bring demand back into balance with supply.

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National Institute of Justice (2025). Valuation of Specific Crime Rates in the United States, 1980 and 1990 [Dataset]. https://catalog.data.gov/dataset/valuation-of-specific-crime-rates-in-the-united-states-1980-and-1990-cb3f7
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Data from: Valuation of Specific Crime Rates in the United States, 1980 and 1990

Related Article
Explore at:
Dataset updated
Mar 12, 2025
Dataset provided by
National Institute of Justicehttp://nij.ojp.gov/
Area covered
United States
Description

This project was designed to isolate the effects that individual crimes have on wage rates and housing prices, as gauged by individuals' and households' decisionmaking preferences changing over time. Additionally, this project sought to compute a dollar value that individuals would bear in their wages and housing costs to reduce the rates of specific crimes. The study used multiple decades of information obtained from counties across the United States to create a panel dataset. This approach was designed to compensate for the problem of collinearity by tracking how housing and occupation choices within particular locations changed over the decade considering all amenities or disamenities, including specific crime rates. Census data were obtained for this project from the Integrated Public Use Microdata Series (IPUMS) constructed by Ruggles and Sobek (1997). Crime data were obtained from the Federal Bureau of Investigation's Uniform Crime Reports (UCR). Other data were collected from the American Chamber of Commerce Researchers Association, County and City Data Book, National Oceanic and Atmospheric Administration, and Environmental Protection Agency. Independent variables for the Wages Data (Part 1) include years of education, school enrollment, sex, ability to speak English well, race, veteran status, employment status, and occupation and industry. Independent variables for the Housing Data (Part 2) include number of bedrooms, number of other rooms, building age, whether unit was a condominium or detached single-family house, acreage, and whether the unit had a kitchen, plumbing, public sewers, and water service. Both files include the following variables as separating factors: census geographic division, cost-of-living index, percentage unemployed, percentage vacant housing, labor force employed in manufacturing, living near a coastline, living or working in the central city, per capita local taxes, per capita intergovernmental revenue, per capita property taxes, population density, and commute time to work. Lastly, the following variables measured amenities or disamenities: average precipitation, temperature, windspeed, sunshine, humidity, teacher-pupil ratio, number of Superfund sites, total suspended particulate in air, and rates of murder, rape, robbery, aggravated assault, burglary, larceny, auto theft, violent crimes, and property crimes.

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