19 datasets found
  1. T

    United States Fed Funds Interest Rate

    • tradingeconomics.com
    • ko.tradingeconomics.com
    • +13more
    csv, excel, json, xml
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    TRADING ECONOMICS, United States Fed Funds Interest Rate [Dataset]. https://tradingeconomics.com/united-states/interest-rate
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    xml, excel, json, csvAvailable download formats
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Aug 4, 1971 - Mar 18, 2026
    Area covered
    United States
    Description

    The benchmark interest rate in the United States was last recorded at 3.75 percent. This dataset provides the latest reported value for - United States Fed Funds Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  2. F

    FOMC Summary of Economic Projections for the Fed Funds Rate, Median

    • fred.stlouisfed.org
    json
    Updated Mar 18, 2026
    + more versions
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    (2026). FOMC Summary of Economic Projections for the Fed Funds Rate, Median [Dataset]. https://fred.stlouisfed.org/series/FEDTARMD
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    jsonAvailable download formats
    Dataset updated
    Mar 18, 2026
    License

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

    Description

    Graph and download economic data for FOMC Summary of Economic Projections for the Fed Funds Rate, Median (FEDTARMD) from 2026 to 2028 about projection, federal, median, rate, and USA.

  3. T

    Japan Interest Rate

    • tradingeconomics.com
    • ru.tradingeconomics.com
    • +13more
    csv, excel, json, xml
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    TRADING ECONOMICS, Japan Interest Rate [Dataset]. https://tradingeconomics.com/japan/interest-rate
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    excel, xml, json, csvAvailable download formats
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Oct 2, 1972 - Mar 19, 2026
    Area covered
    Japan
    Description

    The benchmark interest rate in Japan was last recorded at 0.75 percent. This dataset provides - Japan Interest Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  4. Monthly commercial bank interest rate on credit card plans in the U.S....

    • statista.com
    Updated Feb 16, 2026
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    Statista (2026). Monthly commercial bank interest rate on credit card plans in the U.S. 1994-2025 [Dataset]. https://www.statista.com/statistics/633302/interest-rate-on-credit-card-plans-usa/
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    Dataset updated
    Feb 16, 2026
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Nov 1994 - Nov 2025
    Area covered
    United States
    Description

    Commercial bank interest rates on credit card plans in the United States were over *** percent higher in early 2025 than in the same period in 2022. In February 2025, the interest amount on credit card plans amounted to ***** percent. Alongside this development, the overall amount of credit card debt in the U.S. reached an all-time high in Q4 2023. Credit cards are considered one of the most common ways to pay in the United States, so potential changes in credit card debt are closely tied to both the inflation figure and the central bank interest rate of the country.

  5. F

    Commercial Bank Interest Rate on Credit Card Plans, All Accounts

    • fred.stlouisfed.org
    json
    Updated Jan 8, 2026
    + more versions
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    (2026). Commercial Bank Interest Rate on Credit Card Plans, All Accounts [Dataset]. https://fred.stlouisfed.org/series/TERMCBCCALLNS
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    jsonAvailable download formats
    Dataset updated
    Jan 8, 2026
    License

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

    Description

    Graph and download economic data for Commercial Bank Interest Rate on Credit Card Plans, All Accounts (TERMCBCCALLNS) from Nov 1994 to Nov 2025 about credit cards, consumer credit, loans, consumer, interest rate, banks, interest, depository institutions, rate, and USA.

  6. B

    Bangladesh Weighted Average Interest Rate: Schedule Banks: Deposits

    • ceicdata.com
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    CEICdata.com, Bangladesh Weighted Average Interest Rate: Schedule Banks: Deposits [Dataset]. https://www.ceicdata.com/en/bangladesh/interest-and-lending-rate/weighted-average-interest-rate-schedule-banks-deposits
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    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
    Feb 1, 2025 - Jan 1, 2026
    Area covered
    Bangladesh
    Variables measured
    Lending Rate
    Description

    Bangladesh Weighted Average Interest Rate: Schedule Banks: Deposits data was reported at 6.370 % pa in Jan 2026. This records an increase from the previous number of 6.340 % pa for Dec 2025. Bangladesh Weighted Average Interest Rate: Schedule Banks: Deposits data is updated monthly, averaging 4.890 % pa from Jul 2009 (Median) to Jan 2026, with 199 observations. The data reached an all-time high of 8.680 % pa in Feb 2013 and a record low of 3.970 % pa in Jun 2022. Bangladesh Weighted Average Interest Rate: Schedule Banks: Deposits data remains active status in CEIC and is reported by Bangladesh Bank. The data is categorized under Global Database’s Bangladesh – Table BD.M: Interest and Lending Rate.

  7. Wealthy investors' portfolio adjustments due to low interest rates in the...

    • statista.com
    Updated Oct 15, 2021
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    Statista (2021). Wealthy investors' portfolio adjustments due to low interest rates in the U.S. 2020 [Dataset]. https://www.statista.com/statistics/1274682/wealthy-investors-adjustments-due-to-covid-19-us/
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    Dataset updated
    Oct 15, 2021
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2020
    Area covered
    United States
    Description

    In 2020, roughly *********** of wealthy investors in the United States made adjustments to their financial plan because of the low interest rates induced by the coronavirus (COVID-19) pandemics. Among them, almost half decided to increase their equity investments, while ** percent of the respondents invested more in higher yielding fixed income products.

  8. US Pension Funds Market by Plan Type (Distributed Contribution, Distributed...

    • verifiedmarketresearch.com
    Updated Mar 17, 2025
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    VERIFIED MARKET RESEARCH (2025). US Pension Funds Market by Plan Type (Distributed Contribution, Distributed Benefit, Hybrid, Reserved Fund), Fund Type (Public, Private), & Region for 2026– 2032 [Dataset]. https://www.verifiedmarketresearch.com/product/us-pension-funds-market/
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    Dataset updated
    Mar 17, 2025
    Dataset provided by
    Verified Market Researchhttps://www.verifiedmarketresearch.com/
    Authors
    VERIFIED MARKET RESEARCH
    License

    https://www.verifiedmarketresearch.com/privacy-policy/https://www.verifiedmarketresearch.com/privacy-policy/

    Time period covered
    2026 - 2032
    Area covered
    United States
    Description

    US Pension Funds Market size was valued at USD 6.87 Trillion in 2024 and is projected to reach USD 13.73 Trillion by 2032, growing at a CAGR of 9.05% from 2026 to 2032.

    US Pension Funds Market Drivers

    Aging Population: The aging population is a primary driver, as more individuals enter retirement and rely on pension funds for income. This increases the demand for payouts and influences investment strategies.

    Longer Life Expectancy: Increased life expectancy means pension funds must plan for longer payout periods, impacting investment horizons and risk management.

    Baby Boomer Retirement: The large baby boomer generation's ongoing retirement continues to place strain on pension fund resources.

    Interest Rates: Interest rates significantly impact pension fund liabilities and investment returns. Low interest rates can strain funds by increasing liabilities and reducing returns on fixed-income investments.

    Market Performance: Stock market performance and other asset class returns directly affect the value of pension fund investments.

  9. Share of Gen Z planning a home purchase in the U.S. Q3 2019-Q2 2023

    • statista.com
    Updated Nov 29, 2025
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    Statista (2025). Share of Gen Z planning a home purchase in the U.S. Q3 2019-Q2 2023 [Dataset]. https://www.statista.com/statistics/1260224/share-of-gen-z-prospective-home-buyers-usa/
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    Dataset updated
    Nov 29, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Sep 2019 - Jun 2023
    Area covered
    United States
    Description

    After millennials, Gen Z, or the adults born between 1997 and 2003, are next in line to enter the U.S. housing market. According to a survey conducted among over 15,000 respondents in the U.S., approximately 25 percent of Gen Zers were planning to purchase a home in the next 12 months as of June 2023. This was an increase from the same quarter in 2022 when ** percent of Zoomers were planning a home purchase. As house prices and interest rates continue to rise, the fluctuation in homebuyer sentiment can be seen among all generation groups.

  10. g

    Quarterly Report of Interest Rates on Selected Direct Consumer Installment...

    • gimi9.com
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    Quarterly Report of Interest Rates on Selected Direct Consumer Installment Loans; Quarterly Report of Credit Card Plans | gimi9.com [Dataset]. https://gimi9.com/dataset/data-gov_quarterly-report-of-interest-rates-on-selected-direct-consumer-installment-loans-quarterly/
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    Description

    The FR 2835 collects interest rates on loans for new vehicles and loans for other consumer goods and personal expenses from a sample of commercial banks and the FR 2835a collects interest rates, finance charges, and loan balances for credit card accounts from a sample of commercial banks. The data from these reports help the Board analyze current household financial conditions and the implications of these conditions for household spending and, as such, these data provide valuable input to the monetary policymaking process. The data are also used to create aggregate statistics on consumer loan terms that are published in the Federal Reserve's monthly statistical releases G.19 Consumer Credit and G.20 Finance Companies, and in the Federal Reserve Bulletin. Some of the aggregates are used by the Board in the calculation of the aggregate household debt service and financial obligations ratios for the Federal Reserve's quarterly Financial Obligations statistical release and by the Bureau of Economic Analysis to calculate interest paid by households as part of the National Income and Product Accounts.

  11. Financial institution deposit interest rates advertising

    • data.gov.tw
    csv
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    Central Bank of the Republic of China(Taiwan), Financial institution deposit interest rates advertising [Dataset]. https://data.gov.tw/en/datasets/9464
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    csvAvailable download formats
    Dataset provided by
    Central Bank of the Republic of Chinahttp://cbc.gov.tw/
    Authors
    Central Bank of the Republic of China(Taiwan)
    License

    https://data.gov.tw/licensehttps://data.gov.tw/license

    Description

    Each bank publishes information on current accounts, savings deposits, fixed deposits, fixed-term savings deposits, and various interest rates such as mortgage index rates and benchmark rates. (Data for that day)

  12. M

    Hiking Accident Statistics By Severe Events (2026)

    • media.market.us
    Updated Feb 3, 2026
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    Market.us Media (2026). Hiking Accident Statistics By Severe Events (2026) [Dataset]. https://media.market.us/hiking-accident-statistics/
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    Dataset updated
    Feb 3, 2026
    Dataset authored and provided by
    Market.us Media
    License

    https://media.market.us/privacy-policyhttps://media.market.us/privacy-policy

    Time period covered
    2022 - 2032
    Description

    Introduction

    Hiking Accident Statistics: Hiking accidents can arise from various factors, including environmental hazards, navigation errors, physical limitations, wildlife encounters, and falls.

    To prevent such incidents, hikers should engage in thorough preparation, including researching trails, assessing physical fitness, and monitoring weather conditions.

    Hiking with a group, using proper equipment, and informing someone of the hiking plan can enhance safety.

    In the event of an accident, it is essential to assess the situation, provide first aid, communicate with emergency services, and establish an evacuation plan if necessary.

    Understanding these risks and implementing preventive strategies can significantly enhance safety during hiking activities.

    https://media.market.us/wp-content/uploads/2024/11/hiking-accident-statistics.png" alt="Hiking Accident Statistics" class="wp-image-26153">

  13. Mortgage types and interest rates for borrowers in the UK 2022

    • statista.com
    Updated Nov 28, 2025
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    Statista (2025). Mortgage types and interest rates for borrowers in the UK 2022 [Dataset]. https://www.statista.com/statistics/1418667/uk-mortgage-and-interest-type/
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    Dataset updated
    Nov 28, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Feb 1, 2022 - Jun 6, 2022
    Area covered
    United Kingdom
    Description

    In 2022, the majority of mortgage holders in the UK had a fixed rate repayment schedule. The share of respondents who had a fixed-rate repayment schedule was ** percent, followed by ** percent on a repayment schedule with a variable rate. Interest only mortgages were the case for ** percent of respondents, with an even split between a variable and fixed rate.

  14. F

    Consumer Loans: Credit Cards and Other Revolving Plans, All Commercial Banks...

    • fred.stlouisfed.org
    json
    Updated Mar 13, 2026
    + more versions
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    (2026). Consumer Loans: Credit Cards and Other Revolving Plans, All Commercial Banks [Dataset]. https://fred.stlouisfed.org/series/CCLACBQ158SBOG
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Mar 13, 2026
    License

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

    Description

    Graph and download economic data for Consumer Loans: Credit Cards and Other Revolving Plans, All Commercial Banks (CCLACBQ158SBOG) from Q4 2000 to Q4 2025 about revolving, credit cards, loans, consumer, banks, depository institutions, rate, and USA.

  15. Agricultural Banks in the US - Market Research Report (2016-2031)

    • ibisworld.com
    Updated Nov 15, 2025
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    IBISWorld (2025). Agricultural Banks in the US - Market Research Report (2016-2031) [Dataset]. https://www.ibisworld.com/industry/agricultural-banks.html/partnerid=usaconnect
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    Dataset updated
    Nov 15, 2025
    Dataset authored and provided by
    IBISWorld
    License

    https://www.ibisworld.com/about/termsofuse/https://www.ibisworld.com/about/termsofuse/

    Time period covered
    2015 - 2030
    Area covered
    United States
    Description

    The industry has experienced declines year-over-year for most of the current period through the end of 2025. Normally, a financially distressed Agricultural sector would cause industry revenue to climb, but the Federal Reserve dropped interest rates to near-zero rates at the onset of the period due to economic volatility and the staggering amount of fiscal aid provided to farmers via the United States Department of Agriculture Emergency Food Purchasing Plan and the Paycheck Protection Plan had greatly reduced farmers' demand for agricultural loans. As inflationary pressures increased throughout the period the Fed raised interest rates to tackle rampant inflation which increased borrowing costs for farmers and reduced loan volumes for the industry. In the latter part of the period, as inflationary pressures eased, the Fed slashed interest rates, which will likely boost loans volumes but reduce interest income on each loan. Overall, industry revenue fell at a CAGR of 3.9% to $18.0 billion over the past five years, including an expected decrease of 2.4% in 2025 alone. In addition, industry profit has lagged during the same time and will account for 7.6% of revenue in the current year. Because of such strong increases in governmental aid as a share of total farm income, net farm income has risen strongly in the past 18 months, which has reduced the sector's reliance on bank loans, with the industry exhibiting a revenue slide as a result of a surprising fiscal stability agricultural sector, barring difficulties in the live-cattle segments because of strong increases in government transfer payments. Moreover, industry profitability lagged due to the high interest rate environment throughout most of the period, which hindered loan demand from agricultural banks. The industry is expected to rebound and climb through the end of 2030 as the farm economy is expected to exhibit growth. With growing agricultural prices and returns to farmers, it is expected that the sector will need to increasingly rely on the industry. Also, the anticipation of potential rate cuts at the onset of the outlook period will reduce borrowing costs, enabling farmers to increase their loan demand. Industry revenue is expected to grow at a CAGR of 1.3% to $19.3 billion over the five years to 2030.

  16. f

    Data from: MAC: A Proposal for Consistent Actuarial Interest Rates in...

    • scielo.figshare.com
    tiff
    Updated Jun 3, 2023
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    Sandro de Azambuja; Carlos Heitor Campani (2023). MAC: A Proposal for Consistent Actuarial Interest Rates in Pension Funds [Dataset]. http://doi.org/10.6084/m9.figshare.20020361.v1
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    tiffAvailable download formats
    Dataset updated
    Jun 3, 2023
    Dataset provided by
    SciELO journals
    Authors
    Sandro de Azambuja; Carlos Heitor Campani
    License

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

    Description

    ABSTRACT Objective: this article proposes the meta atuarial consistente (MAC) (consistent actuarial rate), which is a method that adjusts incompatible actuarial rates in pension funds, after investigating and proving that the rate dissociates from the general rule in current regulations (which binds this rate to the expected return of the investments of pension funds). Methodology: a sample with data from 22 defined-benefit plans was collected, and MAC was applied to produce consistent actuarial rates, after panel data methods have identified the elements that influence the definition of the actuarial rate by the pension fund board of trustees. Results: the use of MAC, adjusting actuarial rates of 2018 based on systematic biases in previous rates, enabled a positive effect that unfolds in more reliable estimates for the plans’ mathematical provision, while identifying elements that influence the determination of the annual rate, causing its non-compliance to the general rule. Conclusion: the adoption of MAC by the Brazilian supervisory authority Previc would improve the rules and provide subsidies to better adjust the contribution levels practiced in the plans, making their solvency levels more reliable, which would benefit the development of the insurance and pension market.

  17. F

    Consumer Loans: Credit Cards and Other Revolving Plans, All Commercial Banks...

    • fred.stlouisfed.org
    json
    Updated Mar 27, 2026
    + more versions
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    (2026). Consumer Loans: Credit Cards and Other Revolving Plans, All Commercial Banks [Dataset]. https://fred.stlouisfed.org/series/CCLACBM027SBOG
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Mar 27, 2026
    License

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

    Description

    Graph and download economic data for Consumer Loans: Credit Cards and Other Revolving Plans, All Commercial Banks (CCLACBM027SBOG) from Jul 2000 to Feb 2026 about revolving, credit cards, loans, consumer, banks, depository institutions, and USA.

  18. ARDL results for the relation between national interest rates and inflation...

    • plos.figshare.com
    bin
    Updated Jun 2, 2023
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    Nadja Simone Menezes Nery de Oliveira; Paulo Reis Mourao (2023). ARDL results for the relation between national interest rates and inflation and output gap. [Dataset]. http://doi.org/10.1371/journal.pone.0259314.t004
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    binAvailable download formats
    Dataset updated
    Jun 2, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Nadja Simone Menezes Nery de Oliveira; Paulo Reis Mourao
    License

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

    Description

    ARDL results for the relation between national interest rates and inflation and output gap.

  19. Correlation matrix.

    • plos.figshare.com
    xls
    Updated Aug 8, 2024
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    Yang Shuang; Muhammad Waris; Muhammad Kashif Nawaz; Cheng Chan; Ijaz Younis (2024). Correlation matrix. [Dataset]. http://doi.org/10.1371/journal.pone.0301829.t004
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    xlsAvailable download formats
    Dataset updated
    Aug 8, 2024
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Yang Shuang; Muhammad Waris; Muhammad Kashif Nawaz; Cheng Chan; Ijaz Younis
    License

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

    Description

    Economic welfare is essential in the modern economy since it directly reflects the standard of living, distribution of resources, and general social satisfaction, which influences individual and social well-being. This study aims to explore the relationship between national income accounting different attributes and the economic welfare in Pakistan. However, this study used data from 1950 to 2022, and data was downloaded from the World Bank data portal. Regression analysis is used to investigate the relationship between them and is very effective in measuring the relationship between endogenous and exogenous variables. Moreover, generalized methods of movement (GMM) are used as the robustness of the regression. Our results show that foreign direct investment outflow, Gross domestic product growth rate, GDP per capita, higher Interest, market capitalization, and population growth have a significant negative on the unemployment rate, indicating the rise in these factors leads to a decrease in the employment rate in Pakistan. Trade and savings have a significant positive impact on the unemployment rate, indicating the rise in these factors leads to an increase in the unemployment rate for various reasons. Moreover, all the factors of national income accounting have a significant positive relationship with life expectancy, indicating that an increase in these factors leads to an increase in economic welfare and life expectancy due to better health facilities, many resources, and correct economic policies. However, foreign direct investment, inflation rate, lending interest rate, and population growth have significant positive effects on age dependency, indicating these factors increase the age dependency. Moreover, GDP growth and GDP per capita negatively impact age dependency. Similarly, all the national income accounting factors have a significant negative relationship with legal rights that leads to decreased legal rights. Moreover, due to better health facilities and health planning, there is a negative significant relationship between national income accounting attributes and motility rate among children. Our study advocated the implications for the policymakers and the government to make policies for the welfare and increase the social factors.

  20. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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TRADING ECONOMICS, United States Fed Funds Interest Rate [Dataset]. https://tradingeconomics.com/united-states/interest-rate

United States Fed Funds Interest Rate

United States Fed Funds Interest Rate - Historical Dataset (1971-08-04/2026-03-18)

Explore at:
120 scholarly articles cite this dataset (View in Google Scholar)
xml, excel, json, csvAvailable download formats
Dataset authored and provided by
TRADING ECONOMICS
License

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

Time period covered
Aug 4, 1971 - Mar 18, 2026
Area covered
United States
Description

The benchmark interest rate in the United States was last recorded at 3.75 percent. This dataset provides the latest reported value for - United States Fed Funds Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

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