100+ datasets found
  1. F

    Market Yield on U.S. Treasury Securities at 20-Year Constant Maturity,...

    • fred.stlouisfed.org
    json
    Updated Mar 2, 2026
    + more versions
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    (2026). Market Yield on U.S. Treasury Securities at 20-Year Constant Maturity, Quoted on an Investment Basis [Dataset]. https://fred.stlouisfed.org/series/GS20
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Mar 2, 2026
    License

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

    Description

    Graph and download economic data for Market Yield on U.S. Treasury Securities at 20-Year Constant Maturity, Quoted on an Investment Basis (GS20) from Apr 1953 to Feb 2026 about 20-year, maturity, Treasury, interest rate, interest, rate, and USA.

  2. T

    United States 20 Year bond Yield Data

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Aug 25, 2021
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    TRADING ECONOMICS (2021). United States 20 Year bond Yield Data [Dataset]. https://tradingeconomics.com/united-states/20-year-bond-yield
    Explore at:
    json, xml, excel, csvAvailable download formats
    Dataset updated
    Aug 25, 2021
    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 4, 2012 - Mar 27, 2026
    Area covered
    United States
    Description

    The yield on US 20 Year Bond Yield rose to 5.00% on March 27, 2026, marking a 0.03 percentage points increase from the previous session. Over the past month, the yield has edged up by 0.45 points and is 0.35 points higher than a year ago, according to over-the-counter interbank yield quotes for this government bond maturity. This dataset includes a chart with historical data for US 20Y.

  3. y

    20 Year Treasury Rate

    • ycharts.com
    html
    Updated Mar 12, 2026
    + more versions
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    Federal Reserve (2026). 20 Year Treasury Rate [Dataset]. https://ycharts.com/indicators/20_year_treasury_rate_h15
    Explore at:
    htmlAvailable download formats
    Dataset updated
    Mar 12, 2026
    Dataset provided by
    YCharts
    Authors
    Federal Reserve
    License

    https://www.ycharts.com/termshttps://www.ycharts.com/terms

    Time period covered
    Oct 1, 1993 - Mar 11, 2026
    Area covered
    United States
    Variables measured
    20 Year Treasury Rate
    Description

    View market daily updates and historical trends for 20 Year Treasury Rate. from United States. Source: Federal Reserve. Track economic data with YCharts a…

  4. Google Stock Market Data [20 years]

    • kaggle.com
    zip
    Updated Mar 30, 2024
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    Ruchi Sharma (2024). Google Stock Market Data [20 years] [Dataset]. https://www.kaggle.com/datasets/coderpanda010/google-stock-data-20-years
    Explore at:
    zip(168259 bytes)Available download formats
    Dataset updated
    Mar 30, 2024
    Authors
    Ruchi Sharma
    License

    Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
    License information was derived automatically

    Description

    This dataset contains historical stock market data obtained from Yahoo Finance using the yfinance Python library. The dataset spans a specific time period and includes seven key columns: Date, Open, High, Low, close, Adjusted Close, and Volume.

    Use case:

    This dataset is valuable for a wide range of analyses and applications in finance, economics, and data science. It can be used to: - Perform technical analysis to identify trading patterns and trends. - Develop and backtest trading strategies. - Conduct research on the relationship between trading volume and price movements. - Analyze the impact of macroeconomic events on individual stocks or the overall market. - Train machine learning models for stock price prediction, volatility forecasting, and risk management.

    Disclaimer:

    This dataset is provided for educational and research purposes only. The accuracy and completeness of the data are not guaranteed.

    Thumbnail Photo by Tima Miroshnichenko: https://www.pexels.com/photo/stock-market-illustration-on-the-screen-7567223/

  5. IPCC AR4, AR5, and AR6 20-, 100-, and 500-year GWPs

    • catalog.data.gov
    • datasets.ai
    Updated Dec 30, 2023
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    U.S. EPA Office of Research and Development (ORD) (2023). IPCC AR4, AR5, and AR6 20-, 100-, and 500-year GWPs [Dataset]. https://catalog.data.gov/dataset/ipcc-ar4-ar5-and-ar6-20-100-and-500-year-gwps
    Explore at:
    Dataset updated
    Dec 30, 2023
    Dataset provided by
    United States Environmental Protection Agencyhttp://www.epa.gov/
    Description

    The International Panel for Climate Change (IPCC) produces regular Assessment Reports that provide global warming potentials (GWPs) for greenhouse gases (GHG) in the context of multiple time horizons including 20, 100, and 500 years. The GWPs (in kg CO2-equivalent per kg GHG) can be multiplied by kg GHGs emitted for use in estimating CO2-equivalent (CO2e) impacts of GHGs emitted. In the context of life cycle assessment (LCA) , the GWPs can be used as characterization factors in of the life cycle impact assessment. This dataset provides 20- (GWP-20), 100- (GWP-100) and 500-year (GWP-500) GWPs from the 4th (AR4), 6th (AR6) IPCC assessment reports, and 20- (GWP-20) and 100-year (GWP-100) GWPs from the 5th (AR5) report (AR5 provided no 500 yr GWPs). Datasets are provided in simple tables in Excel, in the openLCA JSON-LD format compliant with the U.S. Federal LCA Commons standards, and in Apache parquet format for the most efficient import into applications or scripts using languages like Python and R. The names for GHGs are from the Federal LCA Elementary Flow List (FEDEFL) v1.2, which are names preferred for this GHGs in the USEPA's Substance Registry Service. These datasets were created using the LCIA Formatter v1.1.1 (https://github.com/USEPA/LCIAformatter). The GWP values are provided in these formats for convenient use; the values have not been altered from the values reported in the Assessment Reports. Python code used to produce the data is available in a github gist under the supporting data links along with dataset metadata from the LCIA formatter.

  6. Heart & Stroke Mortality Trends (2000-2019)

    • kaggle.com
    zip
    Updated Feb 23, 2025
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    Nafay Un Noor (2025). Heart & Stroke Mortality Trends (2000-2019) [Dataset]. https://www.kaggle.com/datasets/nafayunnoor/heart-and-stroke-mortality-trends-2000-2019
    Explore at:
    zip(58024496 bytes)Available download formats
    Dataset updated
    Feb 23, 2025
    Authors
    Nafay Un Noor
    License

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

    Description

    This dataset provides spatiotemporally smoothed, age-standardized mortality rates for cardiovascular diseases (heart disease, stroke, CHD, CVD) across U.S. counties from 2000-2019. It includes granular stratification by:

    Demographics: Age groups (35-64, 65+), race/ethnicity (5 groups), and sex

    Geography: County-level granularity with state abbreviations and FIPS codes

    Methodology: Bayesian-smoothed estimates to address small-area variability

    Developed by the CDC using National Vital Statistics System (NVSS) data, it supports research on health disparities, policy evaluation, and mortality trend analysis.

    Key Dataset Details Coverage: 1,500+ U.S. counties | 20 years (2000-2019) | 5 cardiovascular conditions

    Total Records: ~10 million rows (1.2 GB)

    Unique Features: Confidence intervals, suppression flags, spatiotemporal smoothing metadata

    Columns Overview Core Identifiers

    LocationID: County FIPS code (e.g., 01001 = Autauga, AL)

    Year: 2000-2019

    GeographicLevel: County/State/National

    Stratification

    StratificationCategory[1-3]: Dimension type (Age group/Race/Sex)

    Stratification[1-3]: Specific category (e.g., "Ages 35-64", "American Indian")

    Metrics

    Data_Value: Age-standardized rate per 100,000 (NA = suppressed)*

    Confidence_limit_Low/High: 95% uncertainty bounds

    Data_Value_Footnote: Reason for suppression (e.g., unreliable estimate)

    Class/Topic: Disease classification (e.g., "Cardiovascular Diseases > All stroke")

    Potential Uses ✅ Public health disparity research ✅ County-level healthcare resource allocation analysis ✅ Longitudinal mortality trend modeling ✅ Race/ethnicity- and sex-specific outcome studies

    Limitations ⚠️ Suppressed Values: Small sample sizes trigger data suppression (~ symbol) ⚠️ Model-Dependent: Rates are Bayesian estimates, not raw counts ⚠️ Age Restriction: Only covers adults aged 35+

    Acknowledgments Source: https://catalog.data.gov/dataset/rates-and-trends-in-heart-disease-and-stroke-mortality-among-us-adults-35-by-county-a-2000-45659 License: ODC-By 1.0 (Attribution required) Size: 1.2 GB (CSV)

  7. Twenty-year trends (1998–2008) in growing season length, first autumn frost,...

    • plos.figshare.com
    xls
    Updated Jun 3, 2023
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    Chris R. McGuire; César R. Nufio; M. Deane Bowers; Robert P. Guralnick (2023). Twenty-year trends (1998–2008) in growing season length, first autumn frost, last spring frost, and growing degree days. [Dataset]. http://doi.org/10.1371/journal.pone.0044370.t006
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 3, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Chris R. McGuire; César R. Nufio; M. Deane Bowers; Robert P. Guralnick
    License

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

    Description

    Twenty-year trends (1998–2008) in growing season length, first autumn frost, last spring frost, and growing degree days.

  8. T

    Canada 20 Year bond Yield Data

    • tradingeconomics.com
    • es.tradingeconomics.com
    • +12more
    csv, excel, json, xml
    Updated Aug 25, 2021
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    TRADING ECONOMICS (2021). Canada 20 Year bond Yield Data [Dataset]. https://tradingeconomics.com/canada/20-year-bond-yield
    Explore at:
    csv, json, excel, xmlAvailable download formats
    Dataset updated
    Aug 25, 2021
    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
    Mar 15, 1994 - Mar 27, 2026
    Area covered
    Canada
    Description

    The yield on Canada 20 Year Bond Yield rose to 3.84% on March 27, 2026, marking a 0.03 percentage points increase from the previous session. Over the past month, the yield has edged up by 0.27 points and is 0.61 points higher than a year ago, according to over-the-counter interbank yield quotes for this government bond maturity. This dataset includes a chart with historical data for Canada 20Y.

  9. T

    South Korea 20 Year bond Yield Data

    • tradingeconomics.com
    • zh.tradingeconomics.com
    • +9more
    csv, excel, json, xml
    Updated Aug 25, 2021
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    TRADING ECONOMICS (2021). South Korea 20 Year bond Yield Data [Dataset]. https://tradingeconomics.com/south-korea/20-year-bond-yield
    Explore at:
    json, xml, csv, excelAvailable download formats
    Dataset updated
    Aug 25, 2021
    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 25, 2006 - Mar 27, 2026
    Area covered
    South Korea
    Description

    The yield on South Korea 20 Year Bond Yield rose to 3.93% on March 27, 2026, marking a 0.06 percentage points increase from the previous session. Over the past month, the yield has edged up by 0.28 points and is 1.21 points higher than a year ago, according to over-the-counter interbank yield quotes for this government bond maturity. This dataset includes a chart with historical data for South Korea 20Y.

  10. y

    20-Year Breakeven Inflation Rate

    • ycharts.com
    html
    Updated Mar 2, 2026
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    Federal Reserve Bank of St. Louis (2026). 20-Year Breakeven Inflation Rate [Dataset]. https://ycharts.com/indicators/20year_breakeven_inflation_rate
    Explore at:
    htmlAvailable download formats
    Dataset updated
    Mar 2, 2026
    Dataset provided by
    YCharts
    Authors
    Federal Reserve Bank of St. Louis
    License

    https://www.ycharts.com/termshttps://www.ycharts.com/terms

    Time period covered
    Jul 31, 2004 - Feb 28, 2026
    Area covered
    United States
    Variables measured
    20-Year Breakeven Inflation Rate
    Description

    View monthly updates and historical trends for 20-Year Breakeven Inflation Rate. from United States. Source: Federal Reserve Bank of St. Louis. Track econ…

  11. OnPoint Climatology: Statistical Weather Norms & Anomalies | 20-Year...

    • datarade.ai
    .csv, .parquet
    Updated Sep 12, 2020
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    Pelmorex Weather Source (2020). OnPoint Climatology: Statistical Weather Norms & Anomalies | 20-Year Baseline | Global Coverage, Hourly / Daily Format [Dataset]. https://datarade.ai/data-products/onpoint-climatology
    Explore at:
    .csv, .parquetAvailable download formats
    Dataset updated
    Sep 12, 2020
    Dataset provided by
    Weather Source, LLC
    Authors
    Pelmorex Weather Source
    Area covered
    Syrian Arab Republic, Austria, Benin, Guam, Hong Kong, Iran (Islamic Republic of), Finland, Svalbard and Jan Mayen, United Arab Emirates, Montenegro
    Description

    OnPoint Climatology provides a 20-year statistical baseline for typical weather conditions across every landmass and up to 200 miles offshore. Built upon the industry-leading ECMWF ERA5 reanalysis dataset and refined by our OnPoint platform, this product delivers the high-resolution "ground truth" necessary for sophisticated climate analysis and business planning.

    Unlike simple averages, OnPoint Climatology offers a deep multidimensional view of "normal" weather by providing 20-year hourly and dailyy averages, standard deviations, and specific event frequencies. This allows organizations to move beyond guesswork and objectively quantify how current or forecasted weather deviates from historical expectations.

    Is OnPoint Climatology Right for You?

    • Ideal for Data Scientists & Analysts who require a scientifically validated baseline to train machine learning models, normalize datasets, or calculate "weather-alpha" in financial and retail modeling.

    • Essential for Risk & Insurance Professionals needing to identify the probability of rare meteorological events and contextualize anomalies against 20 years of standard deviation data.

    • Strategic for Energy & Agriculture planners who rely on historical normals for load forecasting, crop suitability mapping, and site selection based on long-term solar radiation, wind, and precipitation trends.

  12. F

    20-Year 2% Treasury Inflation-Indexed Bond, Due 1/15/2026 (DISCONTINUED)

    • fred.stlouisfed.org
    json
    Updated Jan 14, 2026
    + more versions
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    (2026). 20-Year 2% Treasury Inflation-Indexed Bond, Due 1/15/2026 (DISCONTINUED) [Dataset]. https://fred.stlouisfed.org/series/DTP20J26
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jan 14, 2026
    License

    https://fred.stlouisfed.org/legal/#copyright-citation-requiredhttps://fred.stlouisfed.org/legal/#copyright-citation-required

    Description

    Graph and download economic data for 20-Year 2% Treasury Inflation-Indexed Bond, Due 1/15/2026 (DISCONTINUED) (DTP20J26) from 2010-01-04 to 2026-01-14 about 20-year, fees, TIPS, bonds, Treasury, interest rate, interest, real, rate, and USA.

  13. n

    Data from: A 20-year investigation of declining leatherback hatching...

    • data.niaid.nih.gov
    • search.dataone.org
    • +1more
    zip
    Updated Sep 11, 2017
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    Anthony R. Rafferty; Christopher P. Johnstone; Jeanne A. Garner; Richard D. Reina (2017). A 20-year investigation of declining leatherback hatching success: implications of climate variation [Dataset]. http://doi.org/10.5061/dryad.889h8
    Explore at:
    zipAvailable download formats
    Dataset updated
    Sep 11, 2017
    Dataset provided by
    Monash University
    Authors
    Anthony R. Rafferty; Christopher P. Johnstone; Jeanne A. Garner; Richard D. Reina
    License

    https://spdx.org/licenses/CC0-1.0.htmlhttps://spdx.org/licenses/CC0-1.0.html

    Area covered
    St. Croix Virgin Islands
    Description

    Unprecedented increases in air temperature and erratic precipitation patterns are predicted throughout the 21st century as a result of climate change. A recent global analysis of leatherback turtle hatchling output predicts that the nesting site at Sandy Point National Wildlife Refuge (SPNWR) will experience the most significant regional climate alterations. We aimed to identify how local air temperatures and precipitation patterns influenced within nest mortality and overall hatchling output at this site between 1990 – 2010. We show that while the greatest mortality occurred during the latest stages of development (stage three), the rate of embryo mortality was highest during the initial stages (stage zero) of development (~3.8 embryos/day/clutch). Increased mortality at stage three was associated with decreased precipitation and increased temperature during this developmental period, whereas precipitation prior to, and during stage zero had the greatest influence on early mortality. There was a significant decline in overall hatching success (falling from 74% to 55%) and emergence rate (calculated from the number of hatchlings that emerged from the nest as a percentage of hatched eggs) which fell from 96% to 91%, However, there was no trend observed in local temperature or precipitation during this timeframe, and neither variable was related to hatching success or emergence rate. In conclusion, our findings suggest that despite influencing within-nest mortality, climatic variability does not account for the overall decline in hatchling output at SPNWR from 1990 – 2010. Further research is therefore needed to elicit the reasons for this decline.

  14. d

    MTA 2025-2044 20-Year Needs Assessment Asset Conditions

    • catalog.data.gov
    • data.ny.gov
    Updated Oct 11, 2025
    + more versions
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    data.ny.gov (2025). MTA 2025-2044 20-Year Needs Assessment Asset Conditions [Dataset]. https://catalog.data.gov/dataset/mta-2025-2044-20-year-needs-assessment-asset-condition
    Explore at:
    Dataset updated
    Oct 11, 2025
    Dataset provided by
    data.ny.gov
    Description

    The 2025-2044 20-Year Needs Assessment is a broad, comprehensive blueprint that outlines the MTA region's transportation capital needs for the next generation. It provides an extensive, long-term view based upon rigorous data analysis across all the MTA agencies. The MTA developed a three-part plan to for the next 20 years to achieve the transit network New Yorkers deserve. It is based on three fundamental ideas: rebuild the foundation of the system to ensure its survival, improve our network to meet 21st century needs, and expand to support future growth. This dataset includes data on the conditions of most assets in the MTA system.

  15. The Impact of GDP Growth on Infant Mortality Reduction: Insights from 30...

    • figshare.com
    csv
    Updated Oct 22, 2024
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    Fahimul Haque (2024). The Impact of GDP Growth on Infant Mortality Reduction: Insights from 30 Countries Over 20 Years [Dataset]. http://doi.org/10.6084/m9.figshare.27280347.v1
    Explore at:
    csvAvailable download formats
    Dataset updated
    Oct 22, 2024
    Dataset provided by
    Figsharehttp://figshare.com/
    Authors
    Fahimul Haque
    License

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

    Description

    This dataset contains three CSV files documenting the relationship between log GDP and infant mortality rates for 30 countries. The data has been compiled to analyze the impact of economic status on child mortality rates. Each file includes relevant variables for conducting cross-national research on this topic.Files:Country_LogGDP.csvThis file contains the log-transformed GDP data for 30 countries.Variables:Country: The name of the country.Year: The year of the observation.LogGDP: The log-transformed value of the country's GDP for the corresponding year.Infant_Mortality.csvThis file provides the infant mortality rate data (number of infant deaths per 1,000 live births) for the same 30 countries.Variables:Country: The name of the country.Year: The year of the observation.Infant_Mortality: The infant mortality rate for the corresponding year.Average_LogGDP_InfantMortality.csvThis file contains the average log GDP and infant mortality rates for the 30 countries.Variables:Country: The name of the country.Average_LogGDP: The average log-transformed GDP for each country over the time period.Average_Infant_Mortality: The average infant mortality rate for each country over the time period.

  16. Real Estate Sales - 20 years

    • kaggle.com
    zip
    Updated Oct 14, 2023
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    Reena Pinto (2023). Real Estate Sales - 20 years [Dataset]. https://www.kaggle.com/datasets/reenapinto/real-estate-sales-2001-2020
    Explore at:
    zip(87707222 bytes)Available download formats
    Dataset updated
    Oct 14, 2023
    Authors
    Reena Pinto
    License

    https://www.usa.gov/government-works/https://www.usa.gov/government-works/

    Description

    The Office of Policy and Management maintains a listing of all real estate sales with a sales price of $2,000 or greater that occur between October 1 and September 30 of each year. For each sale record, the file includes town, property address, date of sale, property type (residential, apartment, commercial, industrial, or vacant land), sales price, and property assessment.

    https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F8355503%2Fa6299cda72a17632cad57017e34e927f%2Fmarket.PNG?generation=1697299919446361&alt=media" alt="">

  17. N

    Cedar Falls, IA Annual Population and Growth Analysis Dataset: A...

    • neilsberg.com
    csv, json
    Updated Jul 30, 2024
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    Neilsberg Research (2024). Cedar Falls, IA Annual Population and Growth Analysis Dataset: A Comprehensive Overview of Population Changes and Yearly Growth Rates in Cedar Falls from 2000 to 2023 // 2024 Edition [Dataset]. https://www.neilsberg.com/insights/cedar-falls-ia-population-by-year/
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Jul 30, 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
    Cedar Falls, Iowa
    Variables measured
    Annual Population Growth Rate, Population Between 2000 and 2023, Annual Population Growth Rate Percent
    Measurement technique
    The data presented in this dataset is derived from the 20 years data of U.S. Census Bureau Population Estimates Program (PEP) 2000 - 2023. To measure the variables, namely (a) population and (b) population change in ( absolute and as a percentage ), we initially analyzed and tabulated the data for each of the years between 2000 and 2023. For further information regarding these estimates, please feel free to reach out to us via email at research@neilsberg.com.
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset tabulates the Cedar Falls population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of Cedar Falls across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.

    Key observations

    In 2023, the population of Cedar Falls was 40,737, a 0.41% increase year-by-year from 2022. Previously, in 2022, Cedar Falls population was 40,570, a decline of 0.24% compared to a population of 40,668 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Cedar Falls increased by 4,515. In this period, the peak population was 41,463 in the year 2016. The numbers suggest that the population has already reached its peak and is showing a trend of decline. Source: U.S. Census Bureau Population Estimates Program (PEP).

    Content

    When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

    Data Coverage:

    • From 2000 to 2023

    Variables / Data Columns

    • Year: This column displays the data year (Measured annually and for years 2000 to 2023)
    • Population: The population for the specific year for the Cedar Falls is shown in this column.
    • Year on Year Change: This column displays the change in Cedar Falls population for each year compared to the previous year.
    • Change in Percent: This column displays the year on year change as a percentage. Please note that the sum of all percentages may not equal one due to rounding of values.

    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 Cedar Falls Population by Year. You can refer the same here

  18. NOAA/WDS Paleoclimatology - Seychelles Coral Bleaching 20 Year Stable...

    • catalog.data.gov
    Updated Sep 1, 2025
    + more versions
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    (Point of Contact); NOAA World Data Service for Paleoclimatology (Point of Contact) (2025). NOAA/WDS Paleoclimatology - Seychelles Coral Bleaching 20 Year Stable Isotope Data [Dataset]. https://catalog.data.gov/dataset/noaa-wds-paleoclimatology-seychelles-coral-bleaching-20-year-stable-isotope-data1
    Explore at:
    Dataset updated
    Sep 1, 2025
    Dataset provided by
    National Oceanic and Atmospheric Administrationhttp://www.noaa.gov/
    Description

    This archived Paleoclimatology Study is available from the NOAA National Centers for Environmental Information (NCEI), under the World Data Service (WDS) for Paleoclimatology. The associated NCEI study type is Coral. The data include parameters of corals and sclerosponges with a geographic location of Seychelles. The time period coverage is from -32 to -51 in calendar years before present (BP). See metadata information for parameter and study location details. Please cite this study when using the data.

  19. c

    UK 20-Year Government Gilt Rates - Yield

    • commoditieschart.net
    Updated Dec 16, 2025
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    CommoditiesChart.net (2025). UK 20-Year Government Gilt Rates - Yield [Dataset]. https://commoditieschart.net/bonds/uk-20yt-uk-bonds-rates-60-year-daily-historical-chart
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    Dataset updated
    Dec 16, 2025
    Dataset provided by
    CommoditiesChart.net
    License

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

    Area covered
    United Kingdom
    Description

    UK 20-Year Government Gilt Rates yield data, UK 20-Year Government Gilt Rates data, recent 29 years (traceable to May 12,1997), the yield unit is %, latest yield value is 5.15, updated at Dec 16,2025

  20. m

    gingko 20-year height plot data and occurrence locations

    • data.mendeley.com
    Updated Aug 29, 2019
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    Ying Guo (2019). gingko 20-year height plot data and occurrence locations [Dataset]. http://doi.org/10.17632/gw6hfmwjmp.3
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    Dataset updated
    Aug 29, 2019
    Authors
    Ying Guo
    License

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

    Description

    Gingko 20-year height plot data from 45 sample plots and 351 occurrence locations. These datasets were used to build and validate a climatic response function for "Predicting growth and habitat responses of Ginkgo biloba L. to climate change." to be published in Annals of Forest Science.

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(2026). Market Yield on U.S. Treasury Securities at 20-Year Constant Maturity, Quoted on an Investment Basis [Dataset]. https://fred.stlouisfed.org/series/GS20

Market Yield on U.S. Treasury Securities at 20-Year Constant Maturity, Quoted on an Investment Basis

GS20

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12 scholarly articles cite this dataset (View in Google Scholar)
jsonAvailable download formats
Dataset updated
Mar 2, 2026
License

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

Description

Graph and download economic data for Market Yield on U.S. Treasury Securities at 20-Year Constant Maturity, Quoted on an Investment Basis (GS20) from Apr 1953 to Feb 2026 about 20-year, maturity, Treasury, interest rate, interest, rate, and USA.

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