70 datasets found
  1. 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.

  2. F

    Real Median Personal Income in the United States

    • fred.stlouisfed.org
    json
    Updated Sep 10, 2024
    + more versions
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    (2024). Real Median Personal Income in the United States [Dataset]. https://fred.stlouisfed.org/series/MEPAINUSA672N
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Sep 10, 2024
    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 Real Median Personal Income in the United States (MEPAINUSA672N) from 1974 to 2023 about personal income, personal, median, income, real, and USA.

  3. U.S. median household income 2023, by education of householder

    • statista.com
    Updated Sep 17, 2024
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    Statista (2024). U.S. median household income 2023, by education of householder [Dataset]. https://www.statista.com/statistics/233301/median-household-income-in-the-united-states-by-education/
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    Dataset updated
    Sep 17, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    United States
    Description

    U.S. citizens with a professional degree had the highest median household income in 2023, at 172,100 U.S. dollars. In comparison, those with less than a 9th grade education made significantly less money, at 35,690 U.S. dollars. Household income The median household income in the United States has fluctuated since 1990, but rose to around 70,000 U.S. dollars in 2021. Maryland had the highest median household income in the United States in 2021. Maryland’s high levels of wealth is due to several reasons, and includes the state's proximity to the nation's capital. Household income and ethnicity The median income of white non-Hispanic households in the United States had been on the rise since 1990, but declining since 2019. While income has also been on the rise, the median income of Hispanic households was much lower than those of white, non-Hispanic private households. However, the median income of Black households is even lower than Hispanic households. Income inequality is a problem without an easy solution in the United States, especially since ethnicity is a contributing factor. Systemic racism contributes to the non-White population suffering from income inequality, which causes the opportunity for growth to stagnate.

  4. United States US: Income Share Held by Highest 20%

    • ceicdata.com
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    CEICdata.com, United States US: Income Share Held by Highest 20% [Dataset]. https://www.ceicdata.com/en/united-states/poverty/us-income-share-held-by-highest-20
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    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Dec 1, 1979 - Dec 1, 2016
    Area covered
    United States
    Description

    United States US: Income Share Held by Highest 20% data was reported at 46.900 % in 2016. This records an increase from the previous number of 46.400 % for 2013. United States US: Income Share Held by Highest 20% data is updated yearly, averaging 46.000 % from Dec 1979 (Median) to 2016, with 11 observations. The data reached an all-time high of 46.900 % in 2016 and a record low of 41.200 % in 1979. United States US: Income Share Held by Highest 20% data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United States – Table US.World Bank.WDI: Poverty. Percentage share of income or consumption is the share that accrues to subgroups of population indicated by deciles or quintiles. Percentage shares by quintile may not sum to 100 because of rounding.; ; World Bank, Development Research Group. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are from the Luxembourg Income Study database. For more information and methodology, please see PovcalNet (http://iresearch.worldbank.org/PovcalNet/index.htm).; ; The World Bank’s internationally comparable poverty monitoring database now draws on income or detailed consumption data from more than one thousand six hundred household surveys across 164 countries in six regions and 25 other high income countries (industrialized economies). While income distribution data are published for all countries with data available, poverty data are published for low- and middle-income countries and countries eligible to receive loans from the World Bank (such as Chile) and recently graduated countries (such as Estonia) only. See PovcalNet (http://iresearch.worldbank.org/PovcalNet/WhatIsNew.aspx) for definitions of geographical regions and industrialized countries.

  5. F

    Real Disposable Personal Income

    • fred.stlouisfed.org
    json
    Updated Jun 27, 2025
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    (2025). Real Disposable Personal Income [Dataset]. https://fred.stlouisfed.org/series/DSPIC96
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    jsonAvailable download formats
    Dataset updated
    Jun 27, 2025
    License

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

    Description

    Graph and download economic data for Real Disposable Personal Income (DSPIC96) from Jan 1959 to May 2025 about disposable, personal income, personal, income, real, and USA.

  6. N

    Rising Sun, IN annual median income by work experience and sex dataset: Aged...

    • neilsberg.com
    csv, json
    Updated Feb 27, 2025
    + more versions
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    Neilsberg Research (2025). Rising Sun, IN 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/rising-sun-in-income-by-gender/
    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
    Rising Sun
    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 Rising Sun. 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 Rising Sun, the median income for all workers aged 15 years and older, regardless of work hours, was $37,313 for males and $26,910 for females.

    These income figures indicate a substantial gender-based pay disparity, showcasing a gap of approximately 28% between the median incomes of males and females in Rising Sun. With women, regardless of work hours, earning 72 cents to each dollar earned by men, this income disparity reveals a concerning trend toward wage inequality that demands attention in thecity of Rising Sun.

    - Full-time workers, aged 15 years and older: In Rising Sun, among full-time, year-round workers aged 15 years and older, males earned a median income of $56,600, while females earned $41,905, leading to a 26% gender pay gap among full-time workers. This illustrates that women earn 74 cents for each dollar earned by men in full-time roles. This analysis indicates a widening gender pay gap, showing a substantial income disparity where women, despite working full-time, face a more significant wage discrepancy compared to men in the same 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 Rising Sun, 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 Rising Sun median household income by race. You can refer the same here

  7. U.S. household income of black families 1990-2023

    • statista.com
    Updated Sep 17, 2024
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    Statista (2024). U.S. household income of black families 1990-2023 [Dataset]. https://www.statista.com/statistics/203295/median-income-of-black-households-in-the-us/
    Explore at:
    Dataset updated
    Sep 17, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The median income in 2023 was at 56,490 U.S. dollars for Black households. In 1990, the median income among Black households was 38,360 U.S. dollars (In 2023 U.S. dollars).

  8. F

    Real Median Family Income in the United States

    • fred.stlouisfed.org
    json
    Updated Sep 10, 2024
    + more versions
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    (2024). Real Median Family Income in the United States [Dataset]. https://fred.stlouisfed.org/series/MEFAINUSA672N
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Sep 10, 2024
    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 Real Median Family Income in the United States (MEFAINUSA672N) from 1953 to 2023 about family, median, income, real, and USA.

  9. T

    United States Personal Income

    • tradingeconomics.com
    • tr.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated May 30, 2025
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    TRADING ECONOMICS (2025). United States Personal Income [Dataset]. https://tradingeconomics.com/united-states/personal-income
    Explore at:
    csv, json, xml, excelAvailable download formats
    Dataset updated
    May 30, 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
    Feb 28, 1959 - Jun 30, 2025
    Area covered
    United States
    Description

    Personal Income in the United States increased 0.30 percent in June of 2025 over the previous month. This dataset provides the latest reported value for - United States Personal Income - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  10. N

    North America REIT Market Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated Dec 21, 2024
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    Data Insights Market (2024). North America REIT Market Report [Dataset]. https://www.datainsightsmarket.com/reports/north-america-reit-market-4696
    Explore at:
    ppt, pdf, docAvailable download formats
    Dataset updated
    Dec 21, 2024
    Dataset authored and provided by
    Data Insights Market
    License

    https://www.datainsightsmarket.com/privacy-policyhttps://www.datainsightsmarket.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    North America
    Variables measured
    Market Size
    Description

    The size of the North America REIT Market was valued at USD XX Million in 2023 and is projected to reach USD XXX Million by 2032, with an expected CAGR of 2.50% during the forecast period. The North America Real Estate Investment Trust (REIT) market comprises publicly traded companies that own, operate, or finance income-producing real estate across various property sectors, including residential, commercial, industrial, healthcare, and infrastructure. Established primarily in the United States and Canada, REITs allow individual investors to invest in large-scale, income-generating real estate assets without directly owning the property. REITs are attractive to investors due to their potential for steady income through dividends, as they are legally required to distribute a substantial percentage of their taxable income to shareholders. Additionally, they offer a way to diversify portfolios with real estate exposure while maintaining liquidity through public markets. Several factors drive the North American REIT market, including economic growth, urbanization, and shifts in demographics, which influence demand for different types of real estate assets. For instance, trends such as the rise of e-commerce have significantly increased the demand for industrial and logistics spaces, while demographic changes support the growth of residential REITs, particularly in multifamily and senior housing sectors. REITs also offer tax advantages, making them appealing in the investment landscape, as well as a hedge against inflation, given real estate’s tangible asset backing. Key drivers for this market are: Fund Inflows is Driving the ETF Market. Potential restraints include: Underlying Fluctuations and Risks are Restraining the Market. Notable trends are: REITs prominence in Senior Housing & Care Market in United States.

  11. U.S household income shares of quintiles 1970-2023

    • statista.com
    • ai-chatbox.pro
    Updated Sep 17, 2024
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    Statista (2024). U.S household income shares of quintiles 1970-2023 [Dataset]. https://www.statista.com/statistics/203247/shares-of-household-income-of-quintiles-in-the-us/
    Explore at:
    Dataset updated
    Sep 17, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    About 50.4 percent of the household income of private households in the U.S. were earned by the highest quintile in 2023, which are the upper 20 percent of the workers. In contrast to that, in the same year, only 3.5 percent of the household income was earned by the lowest quintile. This relation between the quintiles is indicative of the level of income inequality in the United States. Income inequalityIncome inequality is a big topic for public discussion in the United States. About 65 percent of U.S. Americans think that the gap between the rich and the poor has gotten larger in the past ten years. This impression is backed up by U.S. census data showing that the Gini-coefficient for income distribution in the United States has been increasing constantly over the past decades for individuals and households. The Gini coefficient for individual earnings of full-time, year round workers has increased between 1990 and 2020 from 0.36 to 0.42, for example. This indicates an increase in concentration of income. In general, 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. Income distribution is also affected by region. The state of New York had the widest gap between rich and poor people in the United States, with a Gini coefficient of 0.51, as of 2019. In global comparison, South Africa led the ranking of the 20 countries with the biggest inequality in income distribution in 2018. South Africa had a score of 63 points, based on the Gini coefficient. On the other hand, the Gini coefficient stood at 16.6 in Azerbaijan, indicating that income is widely spread among the population and not concentrated on a few rich individuals or families. Slovenia led the ranking of the 20 countries with the greatest income distribution equality in 2018.

  12. T

    United States Disposable Personal Income

    • tradingeconomics.com
    • ar.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated May 27, 2025
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    TRADING ECONOMICS (2025). United States Disposable Personal Income [Dataset]. https://tradingeconomics.com/united-states/disposable-personal-income
    Explore at:
    json, xml, excel, csvAvailable download formats
    Dataset updated
    May 27, 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, 1959 - May 31, 2025
    Area covered
    United States
    Description

    Disposable Personal Income in the United States decreased to 22454.56 USD Billion in May from 22579.58 USD Billion in April of 2025. This dataset provides - United States Disposable Personal Income - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  13. N

    Income Distribution by Quintile: Mean Household Income in Rising Star, TX

    • neilsberg.com
    csv, json
    Updated Jan 11, 2024
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    Neilsberg Research (2024). Income Distribution by Quintile: Mean Household Income in Rising Star, TX [Dataset]. https://www.neilsberg.com/research/datasets/cdba4218-b041-11ee-aaca-3860777c1fe6/
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Jan 11, 2024
    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
    Texas, Rising Star
    Variables measured
    Income Level, Mean Household Income
    Measurement technique
    The data presented in this dataset is derived from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates. It delineates income distributions across income quintiles (mentioned above) following an initial analysis and categorization. Subsequently, we adjusted these figures for inflation using the Consumer Price Index retroactive series via current methods (R-CPI-U-RS). 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 the mean household income for each of the five quintiles in Rising Star, TX, as reported by the U.S. Census Bureau. The dataset highlights the variation in mean household income across quintiles, offering valuable insights into income distribution and inequality.

    Key observations

    • Income disparities: The mean income of the lowest quintile (20% of households with the lowest income) is 8,052, while the mean income for the highest quintile (20% of households with the highest income) is 112,926. This indicates that the top earners earn 14 times compared to the lowest earners.
    • *Top 5%: * The mean household income for the wealthiest population (top 5%) is 166,098, which is 147.09% higher compared to the highest quintile, and 2062.82% higher compared to the lowest quintile.

    Mean household income by quintiles in Rising Star, TX (in 2022 inflation-adjusted dollars))

    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

    Income Levels:

    • Lowest Quintile
    • Second Quintile
    • Third Quintile
    • Fourth Quintile
    • Highest Quintile
    • Top 5 Percent

    Variables / Data Columns

    • Income Level: This column showcases the income levels (As mentioned above).
    • Mean Household Income: Mean household income, in 2022 inflation-adjusted dollars for the specific income level.

    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 Rising Star median household income. You can refer the same here

  14. Annuity Insurance Market Report | Global Forecast From 2025 To 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Oct 3, 2024
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    Dataintelo (2024). Annuity Insurance Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/annuity-insurance-market
    Explore at:
    pdf, csv, pptxAvailable download formats
    Dataset updated
    Oct 3, 2024
    Dataset provided by
    Authors
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Annuity Insurance Market Outlook



    The global annuity insurance market size is poised to grow significantly, with projections indicating that it will rise from approximately USD 250 billion in 2023 to USD 500 billion by 2032, reflecting a compound annual growth rate (CAGR) of around 7%. This growth is driven by several factors including aging populations, increasing life expectancy, and the rising need for guaranteed income streams during retirement.



    One of the most significant growth factors for the annuity insurance market is the demographic shift towards an older population. As life expectancy increases globally, there is a greater need for financial products that can provide a stable income throughout retirement. This demographic trend is particularly pronounced in developed regions such as North America and Europe, where the proportion of the population aged 65 and above is expected to rise substantially over the next decade. This age group has a higher propensity to purchase annuities to secure their financial future, thereby driving market growth.



    Another key growth driver is the increasing awareness and understanding of annuity products among consumers. Financial literacy campaigns and improved financial advisory services have significantly contributed to this trend. Consumers are becoming more knowledgeable about the benefits of annuities, such as the ability to provide a steady income stream, protection against longevity risk, and potential tax advantages. This increased awareness is resulting in higher adoption rates of annuity products, further propelling market expansion.



    Technological advancements and digital transformation within the insurance industry are also playing a crucial role in the growth of the annuity insurance market. The adoption of advanced analytics, artificial intelligence, and online platforms has streamlined the process of purchasing and managing annuity products. These technologies not only enhance customer experience by providing personalized product recommendations but also improve the efficiency and transparency of transactions. As a result, more consumers are inclined to purchase annuities through digital channels, thereby boosting market growth.



    From a regional perspective, North America currently dominates the annuity insurance market, attributed to its high disposable income levels, well-established financial infrastructure, and a significant aging population. However, the Asia Pacific region is expected to exhibit the highest growth rate during the forecast period. Factors such as rapid economic growth, increasing disposable incomes, and a growing middle class are contributing to the rising demand for annuity products in this region. Additionally, governments in several Asia Pacific countries are promoting private pension schemes to complement public pension systems, further driving market growth.



    Product Type Analysis



    The annuity insurance market can be segmented by product type into fixed annuities, variable annuities, indexed annuities, immediate annuities, and deferred annuities. Each type of annuity offers unique features and benefits, catering to different consumer needs and preferences. Fixed annuities, for instance, provide guaranteed returns and are considered low-risk investment options. They are particularly popular among risk-averse individuals looking for a stable income during retirement. The predictability of returns is a significant selling point, driving the demand for fixed annuities.



    Variable annuities, on the other hand, offer the potential for higher returns by allowing investments in a variety of sub-accounts, similar to mutual funds. These products appeal to more risk-tolerant consumers who are willing to accept market fluctuations in exchange for the possibility of greater income. The flexibility to choose investment options and the potential for higher returns make variable annuities an attractive option for many investors, thereby contributing to their market growth.



    Indexed annuities provide a middle ground between fixed and variable annuities. They offer returns based on the performance of a specific financial index, such as the S&P 500, while also providing a minimum guaranteed return. This combination of growth potential and downside protection appeals to consumers who seek a balance between risk and reward. The growing popularity of indexed annuities can be attributed to their ability to offer higher returns than fixed annuities while mitigating the risks associated with variable annuities.



    Immediate annuiti

  15. F

    Median Household Income in the United States

    • fred.stlouisfed.org
    json
    Updated Sep 11, 2024
    + more versions
    Share
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    (2024). Median Household Income in the United States [Dataset]. https://fred.stlouisfed.org/series/MEHOINUSA646N
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Sep 11, 2024
    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 Median Household Income in the United States (MEHOINUSA646N) from 1984 to 2023 about households, median, income, and USA.

  16. D

    Life And Annuity Insurance Market Report | Global Forecast From 2025 To 2033...

    • dataintelo.com
    csv, pdf, pptx
    Updated Jan 7, 2025
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    Dataintelo (2025). Life And Annuity Insurance Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/life-and-annuity-insurance-market
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    csv, pptx, pdfAvailable download formats
    Dataset updated
    Jan 7, 2025
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Life And Annuity Insurance Market Outlook



    The global life and annuity insurance market size was valued at approximately $1.2 trillion in 2023 and is projected to reach around $1.8 trillion by 2032, reflecting a Compound Annual Growth Rate (CAGR) of 4.5% during the forecast period. This market's growth is driven by increasing awareness about financial security, rising disposable incomes, and aging populations worldwide. The demand for life and annuity insurance products is also fueled by the need for assured income post-retirement and the financial security of loved ones in case of unforeseen events.



    One of the primary growth factors for the life and annuity insurance market is the rising awareness and importance of financial planning and security. As life expectancy increases globally, individuals are becoming more aware of the need to secure their financial future and provide for their dependents. This has led to a surge in the purchase of life insurance policies and annuities, which offer financial protection and a steady income stream during retirement. Additionally, the increasing complexity of financial markets has driven consumers to seek professional advice and products that can offer stability and predictability.



    Another significant factor contributing to market growth is the rapid economic development and rising disposable incomes in emerging economies. Countries in regions such as Asia Pacific and Latin America are experiencing robust economic growth, leading to an expansion of the middle class. This demographic shift is resulting in higher demand for life and annuity insurance products as individuals seek to protect their newfound wealth and ensure long-term financial security. Furthermore, favorable government policies and tax incentives in these regions are also encouraging the uptake of insurance products.



    The aging global population is another crucial driver of the life and annuity insurance market. With improved healthcare and living standards, people are living longer, which increases the need for retirement planning and income solutions. Life and annuity insurance products are well-suited to meet these needs, providing a reliable source of income for retirees and financial protection for their families. Insurers are also innovating and offering more flexible and customized products to cater to the diverse needs of an aging population.



    Regionally, North America and Europe dominate the life and annuity insurance market due to their well-established insurance sectors and high levels of consumer awareness. However, significant growth opportunities are emerging in the Asia Pacific and Latin American regions, driven by increasing incomes, expanding middle classes, and supportive regulatory environments. The Middle East and Africa also present potential growth markets, albeit at a slower pace, due to ongoing economic development and evolving insurance landscapes.



    In recent years, Indexed juvenile life insurance has gained traction as a strategic financial tool for parents looking to secure their children's future. This type of insurance not only provides a death benefit but also accumulates cash value that can be linked to a specific stock market index. Parents are increasingly drawn to this product because it offers the dual benefits of protection and potential growth. As the cash value grows, it can be used for future expenses such as education or even as a financial cushion for the child when they reach adulthood. The flexibility and growth potential of indexed juvenile life insurance make it an appealing option for families aiming to build a solid financial foundation for their children.



    Product Type Analysis



    The life and annuity insurance market can be segmented by product type, including term life insurance, whole life insurance, universal life insurance, variable life insurance, fixed annuities, variable annuities, and indexed annuities. Each of these product types caters to different consumer needs and preferences, contributing to the overall growth and diversification of the market. Term life insurance, for instance, offers coverage for a specific period and is generally more affordable, making it an attractive option for younger consumers and those seeking temporary coverage.



    Whole life insurance, on the other hand, provides lifelong coverage with a guaranteed death benefit and a cash value component that grows over time. This product appeals to consumers s

  17. D

    Assets Under Management Market Report | Global Forecast From 2025 To 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Sep 23, 2024
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    Dataintelo (2024). Assets Under Management Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/global-assets-under-management-market
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    csv, pptx, pdfAvailable download formats
    Dataset updated
    Sep 23, 2024
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Assets Under Management (AUM) Market Outlook




    The global assets under management (AUM) market size was valued at approximately $123 trillion in 2023 and is projected to reach around $250 trillion by 2032, reflecting a compound annual growth rate (CAGR) of about 7.5%. The significant growth of the AUM market is driven by increasing global wealth, rising investor awareness, and technological advancements in wealth management services. Additionally, the growing interest in diversified investment portfolios and the expansion of investment opportunities across various asset classes are crucial factors contributing to the market's robust growth trajectory.




    One of the primary growth factors in the AUM market is the continuous increase in global wealth, particularly in emerging economies. As more individuals and institutions accumulate wealth, the demand for professional asset management services rises. This trend is further supported by the increasing number of high-net-worth individuals (HNWIs) and the growing middle class with disposable income to invest. Moreover, the rising awareness and education about financial planning and investment options have encouraged more people to seek professional asset management services to optimize their returns and manage risks effectively.




    Technological advancements in the financial sector have also played a significant role in the expansion of the AUM market. The adoption of artificial intelligence, big data analytics, and blockchain technology has revolutionized the asset management industry, making it more efficient, transparent, and accessible. These technologies enable asset managers to provide personalized investment strategies, improve decision-making processes, and reduce operational costs. Furthermore, the rise of robo-advisors has democratized access to asset management services, allowing retail investors to benefit from professional investment guidance at a lower cost.




    The diversification of investment portfolios across various asset classes is another key driver of the AUM market's growth. Investors are increasingly looking beyond traditional asset classes like equities and fixed income to explore alternative investments such as real estate, private equity, and hedge funds. This shift is driven by the desire to achieve better risk-adjusted returns and to hedge against market volatility. As a result, asset managers are expanding their offerings to include a wider range of investment options, catering to the evolving preferences of their clients.




    Regionally, North America continues to dominate the AUM market, followed by Europe and Asia Pacific. The mature financial markets, high concentration of wealth, and advanced investment infrastructure in North America contribute to its leading position. However, the Asia Pacific region is expected to witness the highest growth rate during the forecast period, driven by rapid economic development, increasing wealth accumulation, and the growing adoption of digital financial services. Latin America and the Middle East & Africa, while currently smaller markets, also present significant growth opportunities due to improving economic conditions and rising investor interest.



    Asset Class Analysis




    The AUM market is segmented by asset class, including equities, fixed income, real estate, alternatives, cash and cash equivalents, and others. Equities represent a substantial portion of the AUM market, driven by their potential for high returns and the general investor optimism towards stock markets. The increasing global stock market capitalization and the introduction of innovative equity investment products have further boosted the growth of this segment. Additionally, the rising participation of retail investors in stock markets, facilitated by digital trading platforms, has significantly contributed to the expansion of equity assets under management.




    Fixed income assets, such as bonds and other debt instruments, form another crucial segment of the AUM market. These investments are typically favored for their relatively stable returns and lower risk compared to equities. The demand for fixed income assets is particularly strong among institutional investors, such as pension funds and insurance companies, which seek to match their long-term liabilities with stable income streams. Moreover, the current low-interest-rate environment in many developed economies has led investors to seek yield in fixed income securities of emergin

  18. D

    Income Protection Insurance Market Report | Global Forecast From 2025 To...

    • dataintelo.com
    csv, pdf, pptx
    Updated Jan 7, 2025
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    Dataintelo (2025). Income Protection Insurance Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/global-income-protection-insurance-market
    Explore at:
    csv, pdf, pptxAvailable download formats
    Dataset updated
    Jan 7, 2025
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Income Protection Insurance Market Outlook




    The global income protection insurance market size was valued at USD 8.5 billion in 2023 and is projected to reach USD 13.7 billion by 2032, growing at a compound annual growth rate (CAGR) of 5.2%. This notable growth is primarily driven by increasing awareness regarding financial security and the need for income sustainability during unforeseen events such as illness or job loss. The rising incidence of chronic diseases, coupled with the unpredictable economic environment, further fuels the demand for such insurance products.




    The market is significantly propelled by the growing awareness among consumers about the importance of financial planning and risk management. As individuals become more cognizant of the financial risks posed by sudden income loss due to health issues or job instability, there is an increasing inclination towards income protection insurance. This trend is particularly strong among young professionals and the middle-aged working population who seek to safeguard their financial future. Additionally, the increasing penetration of digital platforms has made it easier for consumers to research and purchase income protection policies, thereby boosting the market's growth.




    Another driving factor is the rising prevalence of lifestyle-related diseases and mental health issues, which contribute to an increased likelihood of prolonged work absences. With the growing burden of such diseases, there is a heightened awareness of the need for income protection to cover medical expenses and maintain household income. Furthermore, employers are increasingly offering income protection insurance as part of their employee benefits packages, recognizing its importance in attracting and retaining talent. This trend is particularly notable in industries with high-stress levels and health risks, such as IT, finance, and healthcare.




    Economic uncertainties and the increasing volatility in job markets also play a vital role in the growth of the income protection insurance market. The COVID-19 pandemic has exemplified the critical need for financial protection, as many individuals faced unexpected job losses or reduced income. This has led to a surge in demand for income protection insurance as people seek to secure their livelihoods against future economic shocks. Moreover, regulatory changes and government initiatives aimed at promoting insurance penetration and financial literacy are likely to further support market growth.



    Accidental Death and Dismemberment Insurance is another critical component of financial protection that complements income protection insurance. While income protection insurance primarily focuses on replacing lost income due to illness or injury, Accidental Death and Dismemberment Insurance provides financial compensation in the event of severe accidents leading to death or significant bodily harm. This type of insurance is particularly valuable for individuals in high-risk occupations or those who engage in activities with a higher likelihood of accidents. It offers peace of mind by ensuring that beneficiaries receive financial support to cover expenses such as medical bills, funeral costs, and ongoing living expenses, thereby safeguarding their financial stability during challenging times.




    Regionally, North America and Europe have traditionally dominated the income protection insurance market, driven by high awareness levels and well-established insurance sectors. However, the Asia Pacific region is expected to witness the highest growth rate during the forecast period. This can be attributed to the rapidly increasing middle-class population, rising disposable incomes, and growing awareness of insurance benefits in emerging economies such as China and India. Furthermore, digitalization and advancements in technology are making insurance products more accessible to the broader population in these regions.



    Type Analysis




    The income protection insurance market can be segmented by type into short-term and long-term income protection insurance. Short-term income protection insurance generally covers income loss for a period ranging from a few months to a couple of years. This type of insurance is typically sought by individuals who require temporary financial support during recovery from illness or injury. It is particularly popular

  19. U.S. household income of Hispanic families 1990-2023

    • statista.com
    Updated Sep 17, 2024
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    Statista (2024). U.S. household income of Hispanic families 1990-2023 [Dataset]. https://www.statista.com/statistics/203301/median-income-of-hispanic-households-in-the-us/
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    Dataset updated
    Sep 17, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In the United States, the median income in 2023 was at 65,540 U.S. dollars for Hispanic households. This is a large increase from 1990 when the median income was 47,600 U.S. dollars for Hispanic households (in 2023 U.S. dollars).

  20. U.S. disposable personal income 2000-2023

    • statista.com
    Updated Jun 25, 2025
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    Statista (2025). U.S. disposable personal income 2000-2023 [Dataset]. https://www.statista.com/statistics/710209/us-disposable-income/
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    Dataset updated
    Jun 25, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    This statistic shows the total disposable personal income in the United States from 2000 to 2023. Americans had a total of ***** trillion chained 2017 dollars in disposable personal income in 2023. Per capita personal disposable personal income was ****** chained 2017 dollars in that same year.

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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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U.S. median household income 1990-2023

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23 scholarly articles cite this dataset (View in Google Scholar)
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.

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