60 datasets found
  1. F

    Mortgage Debt Service Payments as a Percent of Disposable Personal Income

    • fred.stlouisfed.org
    json
    Updated Sep 19, 2025
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    (2025). Mortgage Debt Service Payments as a Percent of Disposable Personal Income [Dataset]. https://fred.stlouisfed.org/series/MDSP
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    jsonAvailable download formats
    Dataset updated
    Sep 19, 2025
    License

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

    Description

    Graph and download economic data for Mortgage Debt Service Payments as a Percent of Disposable Personal Income (MDSP) from Q1 1980 to Q2 2025 about disposable, payments, mortgage, personal income, debt, percent, personal, income, services, and USA.

  2. Monthly real vs. nominal interest rates and inflation rate for the U.S....

    • statista.com
    Updated Jan 15, 2025
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    Statista (2025). Monthly real vs. nominal interest rates and inflation rate for the U.S. 1982-2024 [Dataset]. https://www.statista.com/statistics/1342636/real-nominal-interest-rate-us-inflation/
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    Dataset updated
    Jan 15, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 1982 - Nov 2024
    Area covered
    United States
    Description

    Real interest rates describe the growth in the real value of the interest on a loan or deposit, adjusted for inflation. Nominal interest rates on the other hand show us the raw interest rate, which is unadjusted for inflation. If the inflation rate in a certain country were zero percent, the real and nominal interest rates would be the same number. As inflation reduces the real value of a loan, however, a positive inflation rate will mean that the nominal interest rate is more likely to be greater than the real interest rate. We can see this in the recent inflationary episode which has taken place in the wake of the Coronavirus pandemic, with nominal interest rates rising over the course of 2022, but still lagging far behind the rate of inflation, meaning these rate rises register as smaller increases in the real interest rate.

  3. Mortgage interest rates in selected countries worldwide 2025

    • statista.com
    Updated Nov 29, 2025
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    Statista (2025). Mortgage interest rates in selected countries worldwide 2025 [Dataset]. https://www.statista.com/statistics/1211807/mortgage-interest-rates-globally-by-country/
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    Dataset updated
    Nov 29, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jun 2025
    Area covered
    Worldwide
    Description

    Mortgage interest rates worldwide varied greatly in June 2025, from less than ******percent in many European countries to as high as ***percent in Turkey. The average mortgage rate in a country depends on the central bank's base lending rate and macroeconomic indicators such as inflation and forecast economic growth. Since 2022, inflationary pressures have led to rapid increases in mortgage interest rates. Which are the leading mortgage markets? An easy way to estimate the importance of the mortgage sector in each country is by comparing household debt depth, or the ratio of the debt held by households compared to the county's GDP. In 2024, Switzerland, Australia, and Canada had some of the highest household debt to GDP ratios worldwide. While this indicator shows the size of the sector relative to the country’s economy, the value of mortgages outstanding allows to compare the market size in different countries. In Europe, for instance, the United Kingdom, Germany, and France were the largest mortgage markets by outstanding mortgage lending. Mortgage lending trends in the U.S. In the United States, new mortgage lending soared in 2021. This was largely due to the growth of new refinance loans that allow homeowners to renegotiate their mortgage terms and replace their existing loan with a more favorable one. Following the rise in interest rates, the mortgage market cooled, and refinance loans declined.

  4. M

    Mexico Home Equity Loans Market Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated Mar 8, 2025
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    Data Insights Market (2025). Mexico Home Equity Loans Market Report [Dataset]. https://www.datainsightsmarket.com/reports/mexico-home-equity-loans-market-19505
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    pdf, ppt, docAvailable download formats
    Dataset updated
    Mar 8, 2025
    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
    Mexico
    Variables measured
    Market Size
    Description

    Discover the booming Mexico Home Equity Loan market! This in-depth analysis reveals a CAGR exceeding 5%, driven by rising homeownership and diverse loan options. Explore key players, market trends, and growth projections for 2025-2033. Learn about fixed-rate loans, HELOCs, and the top financial institutions in Mexico's thriving home equity lending sector. Recent developments include: On August 2022, Rocket Mortgage, Mexico's largest mortgage lender and a part of Rocket Companies introduced a home equity loan to give Americans one more way to pay off debt that has risen along with inflation. Detroit-based Rocket Mortgage is enabling the American Dream of homeownership and financial freedom through its obsession with an industry-leading, digital-driven client experience, On February 2023, Guild Mortgage, a growth-oriented mortgage lending company originating and servicing residential loans since 1960, increased its Southwest presence with the acquisition of Legacy Mortgage, an independent New Mexico-based lender. With this acquisition, the Legacy Mortgage team can offer borrowers a broader range of purchase and refinance loan options, including FHA, VA, USDA, down payment assistance programs, and other specialized loan programs.. Key drivers for this market are: Rise in the price of Housing Units increasing Home Equity loan demand by borrower, Decline in Inflation and lending interest rate reducing lender risk. Potential restraints include: Rise in the price of Housing Units increasing Home Equity loan demand by borrower, Decline in Inflation and lending interest rate reducing lender risk. Notable trends are: Financial And Socioeconomic Factors Favouring The Market.

  5. Federal Reserve Interest Rates, 1954-Present

    • kaggle.com
    zip
    Updated Mar 16, 2017
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    Federal Reserve (2017). Federal Reserve Interest Rates, 1954-Present [Dataset]. https://www.kaggle.com/federalreserve/interest-rates
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    zip(7069 bytes)Available download formats
    Dataset updated
    Mar 16, 2017
    Dataset provided by
    Federal Reserve Systemhttp://www.federalreserve.gov/
    Authors
    Federal Reserve
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    Context

    The Federal Reserve sets interest rates to promote conditions that achieve the mandate set by the Congress — high employment, low and stable inflation, sustainable economic growth, and moderate long-term interest rates. Interest rates set by the Fed directly influence the cost of borrowing money. Lower interest rates encourage more people to obtain a mortgage for a new home or to borrow money for an automobile or for home improvement. Lower rates encourage businesses to borrow funds to invest in expansion such as purchasing new equipment, updating plants, or hiring more workers. Higher interest rates restrain such borrowing by consumers and businesses.

    Content

    This dataset includes data on the economic conditions in the United States on a monthly basis since 1954. The federal funds rate is the interest rate at which depository institutions trade federal funds (balances held at Federal Reserve Banks) with each other overnight. The rate that the borrowing institution pays to the lending institution is determined between the two banks; the weighted average rate for all of these types of negotiations is called the effective federal funds rate. The effective federal funds rate is determined by the market but is influenced by the Federal Reserve through open market operations to reach the federal funds rate target. The Federal Open Market Committee (FOMC) meets eight times a year to determine the federal funds target rate; the target rate transitioned to a target range with an upper and lower limit in December 2008. The real gross domestic product is calculated as the seasonally adjusted quarterly rate of change in the gross domestic product based on chained 2009 dollars. The unemployment rate represents the number of unemployed as a seasonally adjusted percentage of the labor force. The inflation rate reflects the monthly change in the Consumer Price Index of products excluding food and energy.

    Acknowledgements

    The interest rate data was published by the Federal Reserve Bank of St. Louis' economic data portal. The gross domestic product data was provided by the US Bureau of Economic Analysis; the unemployment and consumer price index data was provided by the US Bureau of Labor Statistics.

    Inspiration

    How does economic growth, unemployment, and inflation impact the Federal Reserve's interest rates decisions? How has the interest rate policy changed over time? Can you predict the Federal Reserve's next decision? Will the target range set in March 2017 be increased, decreased, or remain the same?

  6. Central bank interest rates in the U.S. and Europe 2022-2023, with a...

    • statista.com
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    Statista, Central bank interest rates in the U.S. and Europe 2022-2023, with a forecast to 2027 [Dataset]. https://www.statista.com/statistics/1429525/policy-interest-rates-forecast-in-europe-and-us/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States, United Kingdom
    Description

    Policy interest rates in the U.S. and Europe are forecasted to decrease gradually between 2024 and 2027, following exceptional increases triggered by soaring inflation between 2021 and 2023. The U.S. federal funds rate stood at **** percent at the end of 2023, the European Central Bank deposit rate at **** percent, and the Swiss National Bank policy rate at **** percent. With inflationary pressures stabilizing, policy interest rates are forecast to decrease in each observed region. The U.S. federal funds rate is expected to decrease to *** percent, the ECB refi rate to **** percent, the Bank of England bank rate to **** percent, and the Swiss National Bank policy rate to **** percent by 2025. An interesting aspect to note is the impact of these interest rate changes on various economic factors such as growth, employment, and inflation. The impact of central bank policy rates The U.S. federal funds effective rate, crucial in determining the interest rate paid by depository institutions, experienced drastic changes in response to the COVID-19 pandemic. The subsequent slight changes in the effective rate reflected the efforts to stimulate the economy and manage economic factors such as inflation. Such fluctuations in the federal funds rate have had a significant impact on the overall economy. The European Central Bank's decision to cut its fixed interest rate in June 2024 for the first time since 2016 marked a significant shift in attitude towards economic conditions. The reasons behind the fluctuations in the ECB's interest rate reflect its mandate to ensure price stability and manage inflation, shedding light on the complex interplay between interest rates and economic factors. Inflation and real interest rates The relationship between inflation and interest rates is critical in understanding the actions of central banks. Central banks' efforts to manage inflation through interest rate adjustments reveal the intricate balance between economic growth and inflation. Additionally, the concept of real interest rates, adjusted for inflation, provides valuable insights into the impact of inflation on the economy.

  7. F

    Household Debt Service Payments as a Percent of Disposable Personal Income

    • fred.stlouisfed.org
    json
    Updated Sep 19, 2025
    + more versions
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    (2025). Household Debt Service Payments as a Percent of Disposable Personal Income [Dataset]. https://fred.stlouisfed.org/series/TDSP
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Sep 19, 2025
    License

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

    Description

    Graph and download economic data for Household Debt Service Payments as a Percent of Disposable Personal Income (TDSP) from Q1 1980 to Q2 2025 about disposable, payments, personal income, debt, percent, households, personal, income, services, and USA.

  8. F

    Consumer Price Index for All Urban Consumers: Owners' Equivalent Rent of...

    • fred.stlouisfed.org
    json
    Updated Oct 24, 2025
    + more versions
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    (2025). Consumer Price Index for All Urban Consumers: Owners' Equivalent Rent of Residences in U.S. City Average [Dataset]. https://fred.stlouisfed.org/series/CUSR0000SEHC
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Oct 24, 2025
    License

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

    Area covered
    United States
    Description

    Graph and download economic data for Consumer Price Index for All Urban Consumers: Owners' Equivalent Rent of Residences in U.S. City Average (CUSR0000SEHC) from Jan 1983 to Sep 2025 about rent, urban, consumer, CPI, inflation, price index, indexes, price, and USA.

  9. Average mortgage interest rates in the UK 2000-2025, by month and type

    • statista.com
    Updated Sep 14, 2025
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    Statista (2025). Average mortgage interest rates in the UK 2000-2025, by month and type [Dataset]. https://www.statista.com/statistics/386301/uk-average-mortgage-interest-rates/
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    Dataset updated
    Sep 14, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2000 - Oct 2025
    Area covered
    United Kingdom
    Description

    Mortgage rates surged at an unprecedented pace in 2022, with the average 10-year fixed rate doubling between March and December of that year. In response to mounting inflation, the Bank of England implemented a series of rate hikes, pushing borrowing costs steadily higher. By October 2025, the average 10-year fixed mortgage rate stood at **** percent. As financing becomes more expensive, housing demand has cooled, weighing on market sentiment and slowing house price growth. How have the mortgage hikes affected the market? After surging in 2021, the number of residential properties sold fell significantly in 2023, dipping to just above *** million transactions. This contraction in activity also dampened mortgage lending. Between the first quarter of 2023 and the first quarter of 2024, the value of new mortgage loans declined year-on-year for five consecutive quarters. Even as rates eased modestly in 2024 and housing activity picked up slightly, volumes remained well below the highs recorded in 2021. How are higher mortgages impacting homebuyers? For homeowners, the impact is being felt most acutely as fixed-rate deals expire. Mortgage terms in the UK typically range from two to ten years, and many borrowers who locked in historically low rates are now facing significantly higher repayments when refinancing. By the end of 2026, an estimated five million homeowners will see their mortgage deals expire. Roughly two million of these loans are projected to experience a monthly payment increase of up to *** British pounds by 2026, putting additional pressure on household budgets and constraining affordability across the market.

  10. House price data: annual tables

    • ons.gov.uk
    • cy.ons.gov.uk
    xls
    Updated Jul 16, 2025
    + more versions
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    Office for National Statistics (2025). House price data: annual tables [Dataset]. https://www.ons.gov.uk/economy/inflationandpriceindices/datasets/housepriceindexannualtables2039
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    xlsAvailable download formats
    Dataset updated
    Jul 16, 2025
    Dataset provided by
    Office for National Statisticshttp://www.ons.gov.uk/
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Description

    Annual house price data based on a sub-sample of the Regulated Mortgage Survey.

  11. Quarterly mortgage interest rate in the U.S. 2019-2025, by mortgage type

    • statista.com
    Updated Nov 29, 2025
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    Statista (2025). Quarterly mortgage interest rate in the U.S. 2019-2025, by mortgage type [Dataset]. https://www.statista.com/statistics/500056/quarterly-mortgage-intererst-rates-by-mortgage-type-usa/
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    Dataset updated
    Nov 29, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In the United States, interest rates for all mortgage types started to increase in 2021. This was due to the Federal Reserve introducing a series of hikes in the federal funds rate to contain the rising inflation. In the second quarter of 2025, the 30-year fixed rate dropped slightly, to **** percent. The rate remained below the peak of **** percent in the fourth quarter of 2023. Why have U.S. home sales decreased? Cheaper mortgages normally encourage consumers to buy homes, while higher borrowing costs have the opposite effect. As interest rates increased in 2022, the number of existing homes sold plummeted. Soaring house prices over the past 10 years have further affected housing affordability. Between 2014 and 2024, the median price of an existing single-family home risen by about ** percent. On the other hand, the median weekly earnings have risen much slower. Comparing mortgage terms and rates Between 2008 and 2024, the average rate on a 15-year fixed-rate mortgage in the United States stood between **** and **** percent. Over the same period, a 30-year mortgage term averaged a fixed-rate of between **** and **** percent. Rates on 15-year loan terms are lower to encourage a quicker repayment, which helps to improve a homeowner’s equity.

  12. a

    GU URP - Vulnerability Indices for Mortgage Petroleum and Inflation Risks...

    • data.aurin.org.au
    Updated Mar 6, 2025
    + more versions
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    (2025). GU URP - Vulnerability Indices for Mortgage Petroleum and Inflation Risks and Expenditure (VAMPIRE) (CCD) 2006 - Dataset - AURIN [Dataset]. https://data.aurin.org.au/dataset/gu-urp-gu-urp-vampire-ccd-2006-cd
    Explore at:
    Dataset updated
    Mar 6, 2025
    License

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

    Description

    This dataset is the Vulnerability Indices for Mortgage, Petroleum and Inflation Risks and Expenditure (VAMPIRE) for Australian Capital Cities for the year of 2006. The data has been calculated for each Census Collection District (CCD) within the Greater Capital City regions following the 2006 Australian Standard Geographical Classification (ASGC). The VAMPIRE index developed at Griffith University's Urban Research Program provides a measure of socio-economic oil price vulnerability in Australian cities based on an analysis of socio-economic indicators from the Australian Bureau of Statistics (ABS) Census Data.

  13. U

    US Mortgage/Loan Brokers Market Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated Dec 19, 2024
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    Data Insights Market (2024). US Mortgage/Loan Brokers Market Report [Dataset]. https://www.datainsightsmarket.com/reports/us-mortgageloan-brokers-market-19699
    Explore at:
    doc, pdf, pptAvailable download formats
    Dataset updated
    Dec 19, 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
    Global
    Variables measured
    Market Size
    Description

    US Mortgage/Loan Brokers Market Analysis The US mortgage/loan brokers market is substantial, valued at USD XX million in 2025 with a projected CAGR of 5.00% during 2025-2033. This growth is attributed to factors such as rising demand for home ownership, increasing home values, and low interest rates. The market is segmented by component (products, services), enterprise (large, small, medium-sized), application (home loans, commercial loans, etc.), end-user (business, individuals), and region. Prominent players include Quicken Loans, Wells Fargo, and Caliber Home Loans. Market Drivers and Trends The growth of the US mortgage/loan brokers market is driven by several factors, including the increasing demand for residential and commercial construction, government incentives for home ownership, and the availability of various loan options. Additionally, technological advancements, such as online loan applications and mobile banking, are simplifying the loan application process. However, rising interest rates and stricter lending regulations pose potential challenges to the market's growth. Nonetheless, the growing need for mortgages and the increasing complexity of loan processes are expected to drive the market's expansion in the coming years. Recent developments include: November 2022: A digital home equity line of credit was introduced by loanDepot, one of the country's biggest non-bank retail mortgage lenders, against the backdrop of inflation and rising consumer debt., October 2022: Pennymac Financial Services launched POWER+, its next generation broker technology platform. Brokers will now have more speed and control over the mortgage process to deliver an exceptional experience to their customers and referral partners.. Notable trends are: Adoption of the New Technologies Driving the Market.

  14. T

    United States House Price Index YoY

    • tradingeconomics.com
    • fa.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Oct 16, 2025
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    TRADING ECONOMICS (2025). United States House Price Index YoY [Dataset]. https://tradingeconomics.com/united-states/house-price-index-yoy
    Explore at:
    json, excel, xml, csvAvailable download formats
    Dataset updated
    Oct 16, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jan 31, 1992 - Sep 30, 2025
    Area covered
    United States
    Description

    House Price Index YoY in the United States decreased to 1.70 percent in September from 2.40 percent in August of 2025. This dataset includes a chart with historical data for the United States FHFA House Price Index YoY.

  15. Factors Affecting USA National Home Prices Dataset

    • kaggle.com
    zip
    Updated Oct 30, 2023
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    Madhur Pant (2023). Factors Affecting USA National Home Prices Dataset [Dataset]. https://www.kaggle.com/madhurpant/factors-affecting-usa-national-home-prices
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    zip(28864 bytes)Available download formats
    Dataset updated
    Oct 30, 2023
    Authors
    Madhur Pant
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Area covered
    United States
    Description

    Factors Affecting USA National Home Prices:

    Overview:

    This dataset contains a comprehensive collection of indicators which dictate the housing prices in the United States.

    1. US Mortgage Rates:

    • The average interest rates on mortgage loans in the United States.
    • Used to track the cost of borrowing for housing and its impact on the real estate market.

    2. Gross Domestic Product (GDP):

    • The total monetary value of all goods and services produced within the United States during a specified period.
    • A fundamental measure of economic performance, reflecting the overall economic health and growth trends of the country.

    3. Unemployment Rates:

    • The percentage of the labor force that is currently unemployed and actively seeking employment.
    • A crucial indicator of labor market health and economic stability, influencing government policies and social welfare programs.

    4. FED Funds Rate:

    • The interest rate at which depository institutions lend reserve balances to other depository institutions overnight, as set by the Federal Reserve.
    • This rate is a primary tool for monetary policy, influencing borrowing costs and, subsequently, overall economic activity.

    5. Population Growth:

    • The annual rate at which the U.S. population is changing, reflecting births, deaths, and migration.
    • Offers insights into demographic trends, which have implications for labor force, consumer markets, and social services planning.

    6. Consumer Price Index (CPI):

    • A measure of the average change over time in the prices paid by urban consumers for a market basket of consumer goods and services.
    • A key indicator for assessing inflation or deflation, influencing consumer spending behavior and economic policy decisions.

    S&P Case-Shiller Housing Price Index (USA):

    • Measures changes in the prices of residential real estate properties over time, offering insight into the health and trends of the housing market in the United States.
    • Crucial for assessing the state of the housing market, including property values, trends, and their impact on the broader economy.
  16. N

    Cogan House Township, Pennsylvania annual median income by work experience...

    • neilsberg.com
    csv, json
    Updated Feb 27, 2025
    + more versions
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    Neilsberg Research (2025). Cogan House Township, Pennsylvania 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/cogan-house-township-pa-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
    Pennsylvania, Cogan House Township
    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 Cogan House township. 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 Cogan House township, the median income for all workers aged 15 years and older, regardless of work hours, was $50,192 for males and $24,732 for females.

    These income figures highlight a substantial gender-based income gap in Cogan House township. Women, regardless of work hours, earn 49 cents for each dollar earned by men. This significant gender pay gap, approximately 51%, underscores concerning gender-based income inequality in the township of Cogan House township.

    - Full-time workers, aged 15 years and older: In Cogan House township, among full-time, year-round workers aged 15 years and older, males earned a median income of $73,750, while females earned $37,083, leading to a 50% gender pay gap among full-time workers. This illustrates that women earn 50 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 Cogan House township, 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 Cogan House township median household income by race. You can refer the same here

  17. N

    Washington Court House, OH annual median income by work experience and sex...

    • neilsberg.com
    csv, json
    Updated Feb 27, 2025
    + more versions
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    Neilsberg Research (2025). Washington Court House, OH 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/washington-court-house-oh-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
    Washington Court House, Ohio
    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 Washington Court House. 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 Washington Court House, the median income for all workers aged 15 years and older, regardless of work hours, was $39,689 for males and $24,930 for females.

    These income figures highlight a substantial gender-based income gap in Washington Court House. Women, regardless of work hours, earn 63 cents for each dollar earned by men. This significant gender pay gap, approximately 37%, underscores concerning gender-based income inequality in the city of Washington Court House.

    - Full-time workers, aged 15 years and older: In Washington Court House, among full-time, year-round workers aged 15 years and older, males earned a median income of $57,286, while females earned $42,271, 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.

    Surprisingly, the gender pay gap percentage was higher across all roles, including non-full-time employment, for women compared to men. This suggests that full-time employment offers a more equitable income scenario for women compared to other employment patterns in Washington Court House.

    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 Washington Court House median household income by race. You can refer the same here

  18. Inflation rate in India 2030

    • abripper.com
    • statista.com
    Updated May 30, 2025
    + more versions
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    Statista Research Department (2025). Inflation rate in India 2030 [Dataset]. https://abripper.com/lander/abripper.com/index.php?_=%2Ftopics%2F8378%2Finflation-worldwide%2F%2341%2FknbtSbwPrE1UM4SH%2BbuJY5IzmCy9B
    Explore at:
    Dataset updated
    May 30, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Description

    The statistic shows the inflation rate in India from 1987 to 2024, with projections up until 2030. The inflation rate is calculated using the price increase of a defined product basket. This product basket contains products and services, on which the average consumer spends money throughout the year. They include expenses for groceries, clothes, rent, power, telecommunications, recreational activities and raw materials (e.g. gas, oil), as well as federal fees and taxes. In 2024, the inflation rate in India was around 4.67 percent compared to the previous year. See figures on India's economic growth for additional information. India's inflation rate and economy Inflation is generally defined as the increase of prices of goods and services over a certain period of time, as opposed to deflation, which describes a decrease of these prices. Inflation is a significant economic indicator for a country. The inflation rate is the rate at which the general rise in the level of prices, goods and services in an economy occurs and how it affects the cost of living of those living in a particular country. It influences the interest rates paid on savings and mortgage rates but also has a bearing on levels of state pensions and benefits received. A 4 percent increase in the rate of inflation in 2011 for example would mean an individual would need to spend 4 percent more on the goods he was purchasing than he would have done in 2010. India’s inflation rate has been on the rise over the last decade. However, it has been decreasing slightly since 2010. India’s economy, however, has been doing quite well, with its GDP increasing steadily for years, and its national debt decreasing. The budget balance in relation to GDP is not looking too good, with the state deficit amounting to more than 9 percent of GDP.

  19. F

    All-Transactions House Price Index for the United States

    • fred.stlouisfed.org
    json
    Updated Nov 25, 2025
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    (2025). All-Transactions House Price Index for the United States [Dataset]. https://fred.stlouisfed.org/series/USSTHPI
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Nov 25, 2025
    License

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

    Area covered
    United States
    Description

    Graph and download economic data for All-Transactions House Price Index for the United States (USSTHPI) from Q1 1975 to Q3 2025 about appraisers, HPI, housing, price index, indexes, price, and USA.

  20. J

    Japan Core Inflation Nowcast: Contribution: Balance Sheet: BOJ: Loan SP: to...

    • ceicdata.com
    Updated May 15, 2024
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    CEICdata.com (2024). Japan Core Inflation Nowcast: Contribution: Balance Sheet: BOJ: Loan SP: to Support Foundations for Economic Growth [Dataset]. https://www.ceicdata.com/en/japan/ceic-nowcast-inflation-core/core-inflation-nowcast-contribution-balance-sheet-boj-loan-sp-to-support-foundations-for-economic-growth
    Explore at:
    Dataset updated
    May 15, 2024
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Dec 23, 2024 - Mar 10, 2025
    Area covered
    Japan
    Description

    Japan Core Inflation Nowcast: Contribution: Balance Sheet: BOJ: Loan SP: to Support Foundations for Economic Growth data was reported at 1.211 % in 12 May 2025. This stayed constant from the previous number of 1.211 % for 05 May 2025. Japan Core Inflation Nowcast: Contribution: Balance Sheet: BOJ: Loan SP: to Support Foundations for Economic Growth data is updated weekly, averaging 0.000 % from Jan 2020 (Median) to 12 May 2025, with 280 observations. The data reached an all-time high of 23.054 % in 14 Oct 2024 and a record low of 0.000 % in 07 Apr 2025. Japan Core Inflation Nowcast: Contribution: Balance Sheet: BOJ: Loan SP: to Support Foundations for Economic Growth data remains active status in CEIC and is reported by CEIC Data. The data is categorized under Global Database’s Japan – Table JP.CEIC.NC: CEIC Nowcast: Inflation: Core.

Share
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(2025). Mortgage Debt Service Payments as a Percent of Disposable Personal Income [Dataset]. https://fred.stlouisfed.org/series/MDSP

Mortgage Debt Service Payments as a Percent of Disposable Personal Income

MDSP

Explore at:
14 scholarly articles cite this dataset (View in Google Scholar)
jsonAvailable download formats
Dataset updated
Sep 19, 2025
License

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

Description

Graph and download economic data for Mortgage Debt Service Payments as a Percent of Disposable Personal Income (MDSP) from Q1 1980 to Q2 2025 about disposable, payments, mortgage, personal income, debt, percent, personal, income, services, and USA.

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