31 datasets found
  1. Share of rural Americans who could not afford an unexpected expense by...

    • statista.com
    Updated Aug 12, 2024
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    Statista (2024). Share of rural Americans who could not afford an unexpected expense by income 2019 [Dataset]. https://www.statista.com/statistics/1009376/share-rural-americans-could-not-afford-unexpected-expense-income/
    Explore at:
    Dataset updated
    Aug 12, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 31, 2019 - Mar 2, 2019
    Area covered
    United States
    Description

    This statistic shows the share of rural Americans who could not afford an unexpected expense in 2019, by income. During the survey, 54 percent of rural Americans who had an income of 25,000 U.S. dollars to 50,000 U.S. dollars reported that they would not be able to pay off an unexpected expense of 1,000 U.S. dollars right away.

  2. U.S. personal income 1991-2023

    • statista.com
    Updated Jul 5, 2024
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    Statista (2024). U.S. personal income 1991-2023 [Dataset]. https://www.statista.com/statistics/216756/us-personal-income/
    Explore at:
    Dataset updated
    Jul 5, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    This statistic shows the total personal income in the United States from 1990 to 2023. The data are in current U.S. dollars not adjusted for inflation or deflation. According to the BEA, personal income is the income that is received by persons from all sources. It is calculated as the sum of wage and salary disbursements, supplements to wages and salaries, proprietors' income with inventory valuation and capital consumption adjustments, rental income of persons with capital consumption adjustment, personal dividend income, personal interest income, and personal current transfer receipts, less contributions for government social insurance. Personal income increased to about 23 trillion U.S. dollars in 2023.Personal income Personal income in the United States has risen steadily over the last decades from 5.07 trillion U.S. dollars in 1991 to 23 trillion U.S. dollars in 2023. Personal income includes all earnings including wages, investments, and other sources. Personal income also varied widely across the U.S., where those living in the District of Columbia, on the higher scale, earned an average of 96,873 U.S. dollars per capita and on the lower end of the spectrum, people in Mississippi earned 45,438 U.S. dollars per capita. In the District of Columbia, disposable income averaged some 81,193 U.S. dollars. In total, California earned the most personal income followed by Texas, receiving three trillion U.S. dollars and 1.76 trillion U.S. dollars, respectively. Income tends to vary widely between demographics in the United States. Those with higher education levels tend to earn more money. However, only 25.7 percent of persons with a disability that had a Bachelor's degree or higher were employed in 2020. The Social Security and Supplemental Security Income disability programs provide monetary benefits to the disabled and certain family members.

  3. 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.

  4. N

    Live Oak County, TX annual median income by work experience and sex dataset:...

    • neilsberg.com
    csv, json
    Updated Feb 27, 2025
    + more versions
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    Neilsberg Research (2025). Live Oak County, TX annual median income by work experience and sex dataset: Aged 15+, 2010-2023 (in 2023 inflation-adjusted dollars) // 2025 Edition [Dataset]. https://www.neilsberg.com/insights/live-oak-county-tx-income-by-gender/
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Feb 27, 2025
    Dataset authored and provided by
    Neilsberg Research
    License

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

    Area covered
    Live Oak County, Texas
    Variables measured
    Income for Male Population, Income for Female Population, Income for Male Population working full time, Income for Male Population working part time, Income for Female Population working full time, Income for Female Population working part time
    Measurement technique
    The data presented in this dataset is derived from the U.S. Census Bureau American Community Survey (ACS) 5-Year Estimates. The dataset covers the years 2010 to 2023, representing 14 years of data. To analyze income differences between genders (male and female), we conducted an initial data analysis and categorization. Subsequently, we adjusted these figures for inflation using the Consumer Price Index retroactive series (R-CPI-U-RS) based on current methodologies. For additional information about these estimations, please contact us via email at research@neilsberg.com
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset presents median income data over a decade or more for males and females categorized by Total, Full-Time Year-Round (FT), and Part-Time (PT) employment in Live Oak County. It showcases annual income, providing insights into gender-specific income distributions and the disparities between full-time and part-time work. The dataset can be utilized to gain insights into gender-based pay disparity trends and explore the variations in income for male and female individuals.

    Key observations: Insights from 2023

    Based on our analysis ACS 2019-2023 5-Year Estimates, we present the following observations: - All workers, aged 15 years and older: In Live Oak County, the median income for all workers aged 15 years and older, regardless of work hours, was $39,080 for males and $19,724 for females.

    These income figures highlight a substantial gender-based income gap in Live Oak County. Women, regardless of work hours, earn 50 cents for each dollar earned by men. This significant gender pay gap, approximately 50%, underscores concerning gender-based income inequality in the county of Live Oak County.

    - Full-time workers, aged 15 years and older: In Live Oak County, among full-time, year-round workers aged 15 years and older, males earned a median income of $65,313, while females earned $39,194, leading to a 40% gender pay gap among full-time workers. This illustrates that women earn 60 cents for each dollar earned by men in full-time roles. This level of income gap emphasizes the urgency to address and rectify this ongoing disparity, where women, despite working full-time, face a more significant wage discrepancy compared to men in the same employment roles.

    Remarkably, across all roles, including non-full-time employment, women displayed a similar gender pay gap percentage. This indicates a consistent gender pay gap scenario across various employment types in Live Oak County, showcasing a consistent income pattern irrespective of employment status.

    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2023-inflation-adjusted dollars.

    Gender classifications include:

    • Male
    • Female

    Employment type classifications include:

    • Full-time, year-round: A full-time, year-round worker is a person who worked full time (35 or more hours per week) and 50 or more weeks during the previous calendar year.
    • Part-time: A part-time worker is a person who worked less than 35 hours per week during the previous calendar year.

    Variables / Data Columns

    • Year: This column presents the data year. Expected values are 2010 to 2023
    • Male Total Income: Annual median income, for males regardless of work hours
    • Male FT Income: Annual median income, for males working full time, year-round
    • Male PT Income: Annual median income, for males working part time
    • Female Total Income: Annual median income, for females regardless of work hours
    • Female FT Income: Annual median income, for females working full time, year-round
    • Female PT Income: Annual median income, for females working part time

    Good to know

    Margin of Error

    Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

    Custom data

    If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

    Inspiration

    Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

    Recommended for further research

    This dataset is a part of the main dataset for Live Oak County median household income by race. You can refer the same here

  5. Use of Buy Now, Pay Later (BNPL) for Amazon sales event purchases in the...

    • flwrdeptvarieties.store
    • statista.com
    Updated Oct 15, 2024
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    Statista Research Department (2024). Use of Buy Now, Pay Later (BNPL) for Amazon sales event purchases in the U.S. 2024 [Dataset]. https://flwrdeptvarieties.store/?_=%2Ftopics%2F4076%2Famazon-prime%2F%23zUpilBfjadnL7vc%2F8wIHANZKd8oHtis%3D
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    Dataset updated
    Oct 15, 2024
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Area covered
    United States
    Description

    A survey conducted in 2024 during Amazon Prime days showed the share of shoppers using the Buy Now, Pay Later (BNPL) method when purchasing products. Comparing 2023 to 2024, the use of live paycheck to paycheck with issues paying bills almost doubled, going from 6.4 percent to 12.3 percent among BNPL users. Only a small amount of BNPL users did not have these types of lifestyle.

  6. U.S. households that paid no income tax 2022, by income level

    • statista.com
    Updated Aug 21, 2024
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    Statista (2024). U.S. households that paid no income tax 2022, by income level [Dataset]. https://www.statista.com/statistics/242138/percentages-of-us-households-that-pay-no-income-tax-by-income-level/
    Explore at:
    Dataset updated
    Aug 21, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2022
    Area covered
    United States
    Description

    In total, about 59.9 percent of U.S. households paid income tax in 2022. The remaining 40.1 percent of households paid no individual income tax. In that same year, about 47.1 percent of U.S. households with an income between 40,000 and 50,000 U.S. dollars paid no individual income taxes.

  7. N

    Live Oak, TX annual median income by work experience and sex dataset: Aged...

    • neilsberg.com
    csv, json
    Updated Feb 27, 2025
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    Neilsberg Research (2025). Live Oak, TX annual median income by work experience and sex dataset: Aged 15+, 2010-2023 (in 2023 inflation-adjusted dollars) // 2025 Edition [Dataset]. https://www.neilsberg.com/research/datasets/a523b478-f4ce-11ef-8577-3860777c1fe6/
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Feb 27, 2025
    Dataset authored and provided by
    Neilsberg Research
    License

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

    Area covered
    Live Oak, Texas
    Variables measured
    Income for Male Population, Income for Female Population, Income for Male Population working full time, Income for Male Population working part time, Income for Female Population working full time, Income for Female Population working part time
    Measurement technique
    The data presented in this dataset is derived from the U.S. Census Bureau American Community Survey (ACS) 5-Year Estimates. The dataset covers the years 2010 to 2023, representing 14 years of data. To analyze income differences between genders (male and female), we conducted an initial data analysis and categorization. Subsequently, we adjusted these figures for inflation using the Consumer Price Index retroactive series (R-CPI-U-RS) based on current methodologies. For additional information about these estimations, please contact us via email at research@neilsberg.com
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset presents median income data over a decade or more for males and females categorized by Total, Full-Time Year-Round (FT), and Part-Time (PT) employment in Live Oak. It showcases annual income, providing insights into gender-specific income distributions and the disparities between full-time and part-time work. The dataset can be utilized to gain insights into gender-based pay disparity trends and explore the variations in income for male and female individuals.

    Key observations: Insights from 2023

    Based on our analysis ACS 2019-2023 5-Year Estimates, we present the following observations: - All workers, aged 15 years and older: In Live Oak, the median income for all workers aged 15 years and older, regardless of work hours, was $55,656 for males and $38,659 for females.

    These income figures highlight a substantial gender-based income gap in Live Oak. Women, regardless of work hours, earn 69 cents for each dollar earned by men. This significant gender pay gap, approximately 31%, underscores concerning gender-based income inequality in the city of Live Oak.

    - Full-time workers, aged 15 years and older: In Live Oak, among full-time, year-round workers aged 15 years and older, males earned a median income of $59,760, while females earned $53,843, resulting in a 10% gender pay gap among full-time workers. This illustrates that women earn 90 cents for each dollar earned by men in full-time positions. While this gap shows a trend where women are inching closer to wage parity with men, it also exhibits a noticeable income difference for women working full-time in the city of Live Oak.

    Interestingly, when analyzing income across all roles, including non-full-time employment, the gender pay gap percentage was higher for women compared to men. It appears that full-time employment presents a more favorable income scenario for women compared to other employment patterns in Live Oak.

    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2023-inflation-adjusted dollars.

    Gender classifications include:

    • Male
    • Female

    Employment type classifications include:

    • Full-time, year-round: A full-time, year-round worker is a person who worked full time (35 or more hours per week) and 50 or more weeks during the previous calendar year.
    • Part-time: A part-time worker is a person who worked less than 35 hours per week during the previous calendar year.

    Variables / Data Columns

    • Year: This column presents the data year. Expected values are 2010 to 2023
    • Male Total Income: Annual median income, for males regardless of work hours
    • Male FT Income: Annual median income, for males working full time, year-round
    • Male PT Income: Annual median income, for males working part time
    • Female Total Income: Annual median income, for females regardless of work hours
    • Female FT Income: Annual median income, for females working full time, year-round
    • Female PT Income: Annual median income, for females working part time

    Good to know

    Margin of Error

    Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

    Custom data

    If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

    Inspiration

    Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

    Recommended for further research

    This dataset is a part of the main dataset for Live Oak median household income by race. You can refer the same here

  8. a

    Location Affordability Index

    • hub.arcgis.com
    • supply-chain-data-hub-nmcdc.hub.arcgis.com
    • +6more
    Updated May 10, 2022
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    New Mexico Community Data Collaborative (2022). Location Affordability Index [Dataset]. https://hub.arcgis.com/maps/447a461f048845979f30a2478b9e65bb
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    Dataset updated
    May 10, 2022
    Dataset authored and provided by
    New Mexico Community Data Collaborative
    Area covered
    Description

    There is more to housing affordability than the rent or mortgage you pay. Transportation costs are the second-biggest budget item for most families, but it can be difficult for people to fully factor transportation costs into decisions about where to live and work. The Location Affordability Index (LAI) is a user-friendly source of standardized data at the neighborhood (census tract) level on combined housing and transportation costs to help consumers, policymakers, and developers make more informed decisions about where to live, work, and invest. Compare eight household profiles (see table below) —which vary by household income, size, and number of commuters—and see the impact of the built environment on affordability in a given location while holding household demographics constant.*$11,880 for a single person household in 2016 according to US Dept. of Health and Human Services: https://aspe.hhs.gov/computations-2016-poverty-guidelinesThis layer is symbolized by the percentage of housing and transportation costs as a percentage of income for the Median-Income Family profile, but the costs as a percentage of income for all household profiles are listed in the pop-up:Also available is a gallery of 8 web maps (one for each household profile) all symbolized the same way for easy comparison: Median-Income Family, Very Low-Income Individual, Working Individual, Single Professional, Retired Couple, Single-Parent Family, Moderate-Income Family, and Dual-Professional Family.An accompanying story map provides side-by-side comparisons and additional context.--Variables used in HUD's calculations include 24 measures such as people per household, average number of rooms per housing unit, monthly housing costs (mortgage/rent as well as utility and maintenance expenses), average number of cars per household, median commute distance, vehicle miles traveled per year, percent of trips taken on transit, street connectivity and walkability (measured by block density), and many more.To learn more about the Location Affordability Index (v.3) visit: https://www.hudexchange.info/programs/location-affordability-index/. There you will find some background and an FAQ page, which includes the question:"Manhattan, San Francisco, and downtown Boston are some of the most expensive places to live in the country, yet the LAI shows them as affordable for the typical regional household. Why?" These areas have some of the lowest transportation costs in the country, which helps offset the high cost of housing. The area median income (AMI) in these regions is also high, so when costs are shown as a percent of income for the typical regional household these neighborhoods appear affordable; however, they are generally unaffordable to households earning less than the AMI.Date of Coverage: 2012-2016 Date Released: March 2019Date Downloaded from HUD Open Data: 4/18/19Further Documentation:LAI Version 3 Data and MethodologyLAI Version 3 Technical Documentation_**The documentation below is in reference to this items placement in the NM Supply Chain Data Hub. The documentation is of use to understanding the source of this item, and how to reproduce it for updates**

    Title: Location Affordability Index - NMCDC Copy

    Summary: This layer contains the Location Affordability Index from U.S. Dept. of Housing and Urban Development (HUD) - standardized household, housing, and transportation cost estimates by census tract for 8 household profiles.

    Notes: This map is copied from source map: https://nmcdc.maps.arcgis.com/home/item.html?id=de341c1338c5447da400c4e8c51ae1f6, created by dianaclavery_uo, and identified in Living Atlas.

    Prepared by: dianaclavery_uo, copied by EMcRae_NMCDC

    Source: This map is copied from source map: https://nmcdc.maps.arcgis.com/home/item.html?id=de341c1338c5447da400c4e8c51ae1f6, created by dianaclavery_uo, and identified in Living Atlas. Check the source documentation or other details above for more information about data sources.

    Feature Service: https://nmcdc.maps.arcgis.com/home/item.html?id=447a461f048845979f30a2478b9e65bb

    UID: 73

    Data Requested: Family income spent on basic need

    Method of Acquisition: Search for Location Affordability Index in the Living Atlas. Make a copy of most recent map available. To update this map, copy the most recent map available. In a new tab, open the AGOL Assistant Portal tool and use the functions in the portal to copy the new maps JSON, and paste it over the old map (this map with item id

    Date Acquired: Map copied on May 10, 2022

    Priority rank as Identified in 2022 (scale of 1 being the highest priority, to 11 being the lowest priority): 6

    Tags: PENDING

  9. Financial confidence for ongoing living assistance among the U.S. population...

    • statista.com
    Updated Nov 30, 2023
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    Statista (2023). Financial confidence for ongoing living assistance among the U.S. population 2021 [Dataset]. https://www.statista.com/statistics/1249660/confidence-in-finances-for-ongoing-living-assistance-in-the-united-states/
    Explore at:
    Dataset updated
    Nov 30, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Mar 25, 2021 - Mar 29, 2021
    Area covered
    United States
    Description

    According to a survey conducted in March 2021 in the United States, most Americans lack confidence concerning their financial resources to pay for ongoing living assistance. At that time, 44 percent of respondents had somewhat confidence and 38 percent even less assurance as to being able to pay for future care.

  10. Employee wages by industry, annual

    • www150.statcan.gc.ca
    • open.canada.ca
    • +2more
    Updated Jan 24, 2025
    + more versions
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    Government of Canada, Statistics Canada (2025). Employee wages by industry, annual [Dataset]. http://doi.org/10.25318/1410006401-eng
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    Dataset updated
    Jan 24, 2025
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    Average hourly and weekly wage rate, and median hourly and weekly wage rate by North American Industry Classification System (NAICS), type of work, gender, and age group.

  11. U.S. inflation rate versus wage growth 2020-2024

    • statista.com
    • flwrdeptvarieties.store
    Updated Feb 11, 2025
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    U.S. inflation rate versus wage growth 2020-2024 [Dataset]. https://www.statista.com/statistics/1351276/wage-growth-vs-inflation-us/
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    Dataset updated
    Feb 11, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Dec 2020 - Dec 2024
    Area covered
    United States
    Description

    In December 2024, inflation amounted to 2.9 percent, while wages grew by 4.2 percent. The inflation rate has not exceeded the rate of wage growth since January 2023. Inflation in 2022 The high rates of inflation in 2022 meant that the real terms value of American wages took a hit. Many Americans report feelings of concern over the economy and a worsening of their financial situation. The inflation situation in the United States is one that was experienced globally in 2022, mainly due to COVID-19 related supply chain constraints and disruption due to the Russian invasion of Ukraine. The monthly inflation rate for the U.S. reached a 40-year high in June 2022 at 9.1 percent, and annual inflation for 2022 reached eight percent. Without appropriate wage increases, Americans will continue to see a decline in their purchasing power. Wages in the U.S. Despite the level of wage growth reaching 6.7 percent in the summer of 2022, it has not been enough to curb the impact of even higher inflation rates. The federally mandated minimum wage in the United States has not increased since 2009, meaning that individuals working minimum wage jobs have taken a real terms pay cut for the last twelve years. There are discrepancies between states - the minimum wage in California can be as high as 15.50 U.S. dollars per hour, while a business in Oklahoma may be as low as two U.S. dollars per hour. However, even the higher wage rates in states like California and Washington may be lacking - one analysis found that if minimum wage had kept up with productivity, the minimum hourly wage in the U.S. should have been 22.88 dollars per hour in 2021. Additionally, the impact of decreased purchasing power due to inflation will impact different parts of society in different ways with stark contrast in average wages due to both gender and race.

  12. U.S. poverty rate 2023, by age and gender

    • statista.com
    Updated Mar 19, 2025
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    Statista (2025). U.S. poverty rate 2023, by age and gender [Dataset]. https://www.statista.com/statistics/233154/us-poverty-rate-by-gender/
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    Dataset updated
    Mar 19, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    United States
    Description

    In 2023 the poverty rate in the United States was highest among people between 18 and 24, with a rate of 16 percent for male Americans and a rate of 21 percent for female Americans. The lowest poverty rate for both men and women was for those aged between 45 and 54. What is the poverty line? The poverty line is a metric used by the U.S. Census Bureau to define poverty in the United States. It is a specific income level that is considered to be the bare minimum a person or family needs to meet their basic needs. If a family’s annual pre-tax income is below this income level, then they are considered impoverished. The poverty guideline for a family of four in 2021 was 26,500 U.S. dollars. Living below the poverty line According to the most recent data, almost one-fifth of African Americans in the United States live below the poverty line; the most out of any ethnic group. Additionally, over 7.42 million families in the U.S. live in poverty – a figure that has held mostly steady since 1990, outside the 2008 financial crisis which threw 9.52 million families into poverty by 2012. The poverty gender gap Wage inequality has been an ongoing discussion in U.S. discourse for many years now. The poverty gap for women is most pronounced during their child-bearing years, shrinks, and then grows again in old age. While progress has been made on the gender pay gap over the last 30 years, there are still significant disparities, even in occupations that predominantly employ men. Additionally, women are often having to spend more time attending to child and household duties than men.

  13. U.S. Congress members annual salary 1990-2025

    • statista.com
    Updated Feb 25, 2025
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    Statista (2025). U.S. Congress members annual salary 1990-2025 [Dataset]. https://www.statista.com/statistics/1362153/congressional-salaries-us/
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    Dataset updated
    Feb 25, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The annual salary received by members of the United States Congress in 2025 is 174,000 U.S. dollars. This has been the case since 2009. The Government Ethics Reform Act of 1989 provides an automatic cost of living adjustment increase in line with the

  14. U.S. wage and salary workers median hourly earnings 1979-2023

    • statista.com
    • flwrdeptvarieties.store
    Updated Jan 14, 2025
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    Statista (2025). U.S. wage and salary workers median hourly earnings 1979-2023 [Dataset]. https://www.statista.com/statistics/185335/median-hourly-earnings-of-wage-and-salary-workers/
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    Dataset updated
    Jan 14, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In 2023, the median hourly earnings of wage and salary workers in the United States was 19.24 U.S. dollars. This is an increase from 1979, when median hourly earnings were at 4.44 U.S. dollars. Hourly Workers The United States national minimum wage is 7.25 U.S. dollars per hour, which has been the minimum wage since 2009. However, each state has the agency to set their state minimum wage. Furthermore, some cities are able to create their minimum wage. Many argue that the minimum wage is too low and should be raised, because it is not considered a living wage. There has been a movement to raise the minimum wage to 15 U.S. dollars per hour, called “Fight for 15” which began in the early 2010s. While there has been no movement at the federal level, some states have moved to increase their minimum wages, with at least three states and the District of Columbia setting minimum wage rates at or above 15 dollars per hour. More recently, some proponents of increasing the minimum wage say that 15 dollars is too low, and lawmakers should strive toward a higher goal, especially given that a 2021 analysis found that the minimum wage in the U.S. should be 22.88 U.S. dollars if it grew at the same rate as economic productivity. Salary Workers On the other hand, salary workers in the United States do not get paid on an hourly basis. The median weekly earnings of salary workers have significantly increased since 1979. Asian salary workers had the highest hourly earnings in the U.S. in 2021. Among female salary workers, those ages 45 to 54 years old had the highest median hourly earnings in 2021, likewise for male salary workers.

  15. Consumer reactions to the cost of living crisis in the U.S. 2023

    • statista.com
    Updated Jun 5, 2023
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    Statista (2023). Consumer reactions to the cost of living crisis in the U.S. 2023 [Dataset]. https://www.statista.com/statistics/1384081/consumer-reactions-to-the-cost-of-living-crisis-in-the-us/
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    Dataset updated
    Jun 5, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Apr 19, 2023 - Apr 24, 2023
    Area covered
    United States
    Description

    Around 64 percent of U.S. consumers spend less on non-essentials amidst the ongoing cost of living crisis in 2023. This is according to a survey conducted by We are Social and Statista Q, which shows that rising inflation rates have caused around a similar percentage of customers to pay more attention to bargains, good deals, or offers (when going shopping). Furthermore, around 39 percent of U.S. consumers do not go out for dinner/lunch anymore to deal with the situation.

  16. Latin America: Pay TV penetration 2010-2019

    • statista.com
    Updated Jan 5, 2023
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    Statista (2023). Latin America: Pay TV penetration 2010-2019 [Dataset]. https://www.statista.com/statistics/251654/pay-tv-penetration-in-latin-america/
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    Dataset updated
    Jan 5, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    LAC, Latin America
    Description

    The timeline presents data on pay TV penetration rate in Latin America from 2010 to 2019. In 2018, 55.39 percent of people living in TV households in Latin America had access to pay TV services. The industry generated 19.5 billion U.S. dollars in revenues in Latin America in 2017. Largest pay TV operator in the region (based on subscriber count) was DirecTV/Sky, followed by America Movil. Telefonica had 4.62 million pay TV subscribers in December 2017.

  17. Share of viewers who share an account on Hulu with live TV in the U.S. 2017,...

    • statista.com
    Updated Feb 13, 2024
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    Statista (2024). Share of viewers who share an account on Hulu with live TV in the U.S. 2017, by age [Dataset]. https://www.statista.com/statistics/742309/hulu-with-live-tv-account-sharing-by-age/
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    Dataset updated
    Feb 13, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Aug 17, 2017 - Aug 19, 2017
    Area covered
    United States
    Description

    The statistic shows the share of viewers who share an account on Hulu with live TV in the United States as of August 2017, sorted by age group. During the survey, 13 percent of respondents aged 18 to 29 stated that they shared a Hulu with live TV account.

  18. Latin America: minimum monthly wages in 2024, by country

    • statista.com
    Updated Jul 5, 2024
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    Statista (2024). Latin America: minimum monthly wages in 2024, by country [Dataset]. https://www.statista.com/statistics/953880/latin-america-minimum-monthly-wages/
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    Dataset updated
    Jul 5, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2024
    Area covered
    LAC, Americas, Latin America
    Description

    Costa Rica is the country with the highest minimum monthly wage in Latin America. According to the minimum salary established by law as of January 2024, workers in the Central American country enjoy a basic monthly wage of over 687 U.S. dollars, an increase of 1.83 percent compared to the previous year and over 100 U.S. dollars more than the second place, Uruguay. On the other side of the spectrum is Venezuela, where employees are only guaranteed by law a minimum salary of 130 bolívares or little more than three dollars per month. Can Latin Americans survive on a minimum wage? Even if most countries in Latin America have instated laws to guarantee citizens a basic income, these minimum standards are often not enough to meet household needs. For instance, it was estimated that almost 25 million people in Mexico lacked basic housing services. Salary levels also vary greatly among Latin American economies. In 2020, the average net monthly salary in Mexico was barely higher than Chile's minimum wage in 2021. What can a minimum wage afford in Latin America? Latin American real wages have generally risen in the past decade. However, consumers in this region still struggle to afford non-basic goods, such as tech products. Recent estimates reveal that, in order to buy an iPhone, Brazilian residents would have to work at least two months to be able to pay for it. A gaming console, on the other hand, could easily cost a Latin American worker several minimum wages.

  19. U.S. average annual real wages 2000-2023

    • statista.com
    • flwrdeptvarieties.store
    Updated Feb 10, 2025
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    Statista (2025). U.S. average annual real wages 2000-2023 [Dataset]. https://www.statista.com/statistics/612519/average-annual-real-wages-united-states/
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    Dataset updated
    Feb 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In 2023, the average annual real wages in the United States amounted to 80,115 U.S. dollars. This shows the average annual wages in the United States from 2000 to 2023 in constant 2023 PPP-adjusted U.S. dollars.

  20. Annual buy now, pay later (BNPL) users in the U.S. 2020-2023, by age and...

    • statista.com
    Updated Feb 5, 2025
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    Statista (2025). Annual buy now, pay later (BNPL) users in the U.S. 2020-2023, by age and gender [Dataset]. https://www.statista.com/statistics/1233465/bnpl-user-age-usa/
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    Dataset updated
    Feb 5, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jul 19, 2023
    Area covered
    United States
    Description

    BNPL use in the United States declined among all age groups in 2023 for the third successive year. A recurring survey reveals the overall share of respondents who used buy now, pay later decreased by 15 percentage points between June 2022 and July 2023. The decline was highest among younger generations. Over 61 percent of respondents ages 18 to 24 said in 2022 they had used a BNPL service - a figure significantly higher than the almost 38 percent recorded in a previous survey in 2020. By 2023, this penetration rate reached 42 percent. The trends observed here are in contrast with U.S. e-commerce vendors who were planning to add BNPL to their website's payment options in 2022.

    What caused the decline in BNPL use?

    The source does not explain why figures declined between surveys. Cost of living did change online shopping payment behavior in the United States. Credit cards, BNPL, and crypto were all used more often, but neither saw the biggest growth: 51 percent of respondents who changed their payment habits because of the rising cost of living in 2022 are paying online with debit cards more often than they did in the previous year. BNPL was not a popular choice for everyday shopping. Groceries ranked among the least likely product types for which U.S. consumers would use BNPL. The worsening of economic conditions may well prevent the growth of BNPL in 2023 instead of it being a contributing factor.

    An industry under pressure

    BNPL companies face a challenging environment in 2023. Klarna's valuation dropped by 85 percent amidst staff cuts and investor observations the Swedish BNPL provider was not profitable enough. Macroeconomic developments seem to impact the young industry significantly, especially as it is still finding a profit model. Increasing interest rates, especially, puts pressure on these providers. Consequently, Klarna is using generative A.I. as an additional revenue stream. The company is one of 13 that uses a ChatGPT plugin. Artificial intelligence technology helps consumers find curated products based on their search behavior and preferences.

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Statista (2024). Share of rural Americans who could not afford an unexpected expense by income 2019 [Dataset]. https://www.statista.com/statistics/1009376/share-rural-americans-could-not-afford-unexpected-expense-income/
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Share of rural Americans who could not afford an unexpected expense by income 2019

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Dataset updated
Aug 12, 2024
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
Jan 31, 2019 - Mar 2, 2019
Area covered
United States
Description

This statistic shows the share of rural Americans who could not afford an unexpected expense in 2019, by income. During the survey, 54 percent of rural Americans who had an income of 25,000 U.S. dollars to 50,000 U.S. dollars reported that they would not be able to pay off an unexpected expense of 1,000 U.S. dollars right away.

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