100+ datasets found
  1. Replication dataset and calculations for PIIE PB 19-16, Average Inflation...

    • piie.com
    Updated Nov 4, 2019
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    David Reifschneider; David Wilcox (2019). Replication dataset and calculations for PIIE PB 19-16, Average Inflation Targeting Would Be a Weak Tool for the Fed to Deal with Recession and Chronic Low Inflation, by David Reifschneider and David Wilcox. (2019). [Dataset]. https://www.piie.com/publications/policy-briefs/average-inflation-targeting-would-be-weak-tool-fed-deal-recession-and
    Explore at:
    Dataset updated
    Nov 4, 2019
    Dataset provided by
    Peterson Institute for International Economicshttp://www.piie.com/
    Authors
    David Reifschneider; David Wilcox
    Description

    This data package includes the underlying data and files to replicate the calculations, charts, and tables presented in Average Inflation Targeting Would Be a Weak Tool for the Fed to Deal with Recession and Chronic Low Inflation, PIIE Policy Brief 19-16. If you use the data, please cite as: Reifschneider, David, and David Wilcox. (2019). Average Inflation Targeting Would Be a Weak Tool for the Fed to Deal with Recession and Chronic Low Inflation. PIIE Policy Brief 19-16. Peterson Institute for International Economics.

  2. T

    Japan Inflation Rate

    • tradingeconomics.com
    • zh.tradingeconomics.com
    • +17more
    csv, excel, json, xml
    Updated Mar 21, 2025
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    TRADING ECONOMICS (2025). Japan Inflation Rate [Dataset]. https://tradingeconomics.com/japan/inflation-cpi
    Explore at:
    csv, json, excel, xmlAvailable download formats
    Dataset updated
    Mar 21, 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, 1958 - Feb 28, 2025
    Area covered
    Japan
    Description

    Inflation Rate in Japan decreased to 3.70 percent in February from 4 percent in January of 2025. This dataset provides the latest reported value for - Japan Inflation Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  3. Replication dataset for PIIE PB 24-2, The Inflation Surge in Europe by...

    • piie.com
    Updated May 25, 2024
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    Patrick Honohan (2024). Replication dataset for PIIE PB 24-2, The Inflation Surge in Europe by Patrick Honohan (2024). [Dataset]. https://www.piie.com/publications/policy-briefs/2024/inflation-surge-europe
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    Dataset updated
    May 25, 2024
    Dataset provided by
    Peterson Institute for International Economicshttp://www.piie.com/
    Authors
    Patrick Honohan
    Area covered
    Europe
    Description

    This data package includes the underlying data files to replicate the data and charts presented in The Inflation Surge in Europe by Patrick Honohan, PIIE Policy Brief 24-2.

    If you use the data, please cite as: Honohan, Patrick. 2024. The Inflation Surge in Europe. PIIE Policy Brief 24-2. Washington, DC: Peterson Institute for International Economics.

  4. T

    Thailand Inflation Rate

    • tradingeconomics.com
    • sv.tradingeconomics.com
    • +17more
    csv, excel, json, xml
    Updated Mar 7, 2025
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    Thailand Inflation Rate [Dataset]. https://tradingeconomics.com/thailand/inflation-cpi
    Explore at:
    csv, json, excel, xmlAvailable download formats
    Dataset updated
    Mar 7, 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, 1977 - Feb 28, 2025
    Area covered
    Thailand
    Description

    Inflation Rate in Thailand decreased to 1.08 percent in February from 1.32 percent in January of 2025. This dataset provides the latest reported value for - Thailand Inflation Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  5. Replication dataset and calculations for PIIE WP 21-15, Forbes, Kristin,...

    • piie.com
    Updated Sep 21, 2021
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    Kristin Forbes; Joseph E. Gagnon; Christopher G. Collins (2021). Replication dataset and calculations for PIIE WP 21-15, Forbes, Kristin, Joseph E. Gagnon, and Christopher G. Collins, Low Inflation Bends the Phillips Curve around the World: Extended Results, PIIE Working Paper, September 2021. [Dataset]. https://www.piie.com/publications/working-papers/2021/low-inflation-bends-phillips-curve-around-world-extended-results
    Explore at:
    Dataset updated
    Sep 21, 2021
    Dataset provided by
    Peterson Institute for International Economicshttp://www.piie.com/
    Authors
    Kristin Forbes; Joseph E. Gagnon; Christopher G. Collins
    Area covered
    World
    Description

    This data package contains underlying data to replicate the calculations, charts, and tables in Low Inflation Bends the Phillips Curve around the World: Extended Results, PIIE Working Paper 21-15.

    If you use the data, please cite as: Forbes, Kristin, Joseph E. Gagnon, and Christopher G. Collins, Low Inflation Bends the Phillips Curve around the World: Extended Results, PIIE Working Paper 21-15, September 2021, Peterson Institute for International Economics.

  6. Replication dataset and calculations for PIIE WP 19-6, Low Inflation Bends...

    • piie.com
    Updated Apr 1, 2019
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    Joseph E. Gagnon; Christopher G. Collins (2019). Replication dataset and calculations for PIIE WP 19-6, Low Inflation Bends the Phillips Curve, by Joseph E. Gagnon and Christopher G. Collins. (2019). [Dataset]. https://www.piie.com/publications/working-papers/low-inflation-bends-phillips-curve
    Explore at:
    Dataset updated
    Apr 1, 2019
    Dataset provided by
    Peterson Institute for International Economicshttp://www.piie.com/
    Authors
    Joseph E. Gagnon; Christopher G. Collins
    Description

    This data package includes the underlying data and files to replicate the calculations, charts, and tables presented in Low Inflation Bends the Phillips Curve, PIIE Working Paper 19-6.

    If you use the data, please cite as: Gagnon, Joseph E., and Christopher G. Collins. (2019). Low Inflation Bends the Phillips Curve. PIIE Working Paper 19-6. Peterson Institute for International Economics.

  7. T

    Lebanon Inflation Rate

    • tradingeconomics.com
    • jp.tradingeconomics.com
    • +17more
    csv, excel, json, xml
    Updated Mar 24, 2025
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    TRADING ECONOMICS (2025). Lebanon Inflation Rate [Dataset]. https://tradingeconomics.com/lebanon/inflation-cpi
    Explore at:
    excel, xml, json, csvAvailable download formats
    Dataset updated
    Mar 24, 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
    Dec 31, 2008 - Feb 28, 2025
    Area covered
    Lebanon
    Description

    Inflation Rate in Lebanon decreased to 15.60 percent in February from 16.10 percent in January of 2025. This dataset provides the latest reported value for - Lebanon Inflation Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  8. a

    Inflation Reduction Act Projects

    • datalibrary-lnr.hub.arcgis.com
    • conservation.gov
    Updated Nov 16, 2023
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    atlas_data (2023). Inflation Reduction Act Projects [Dataset]. https://datalibrary-lnr.hub.arcgis.com/items/bc8b539412284f3e987cd1f0c1c71c3e
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    Dataset updated
    Nov 16, 2023
    Dataset authored and provided by
    atlas_data
    Area covered
    Pacific Ocean, North Pacific Ocean
    Description

    This layer shows locations of projects funded by the Inflation Reduction Act (IRA). The layer includes announced IRA funding for which approximate geolocation is available as of Oct. 6, 2023. The categories “Climate Resilience”, “Parks and Conservation”, and “Environmental Remediation” are included.

    Please note this dataset does not include projects with funding announced later than October 6th, 2023, and projects for which geolocation is not available.Project data and locations were provided from invest.gov.This dataset is being used within the American Conservation and Stewardship Atlas to support the America the Beautiful initiative in representing natural resources, societal interests, and conservation and restoration efforts. These data have been made publicly available from an authoritative source other than this Atlas and data should be obtained directly from that source for any re-use. See the original metadata from the authoritative source for more information about these data and use limitations. The authoritative source of these data can be found at the following location:Investing In America | The White House

  9. T

    Equatorial Guinea Inflation Rate

    • tradingeconomics.com
    • hu.tradingeconomics.com
    • +17more
    csv, excel, json, xml
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    TRADING ECONOMICS, Equatorial Guinea Inflation Rate [Dataset]. https://tradingeconomics.com/equatorial-guinea/inflation-cpi
    Explore at:
    excel, csv, xml, jsonAvailable 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
    Dec 31, 1981 - Dec 31, 2023
    Area covered
    Equatorial Guinea
    Description

    Inflation Rate in Equatorial Guinea decreased to 2.50 percent in 2023 from 5 percent in 2022. This dataset provides the latest reported value for - Equatorial Guinea Inflation Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  10. T

    Pakistan Inflation Rate

    • tradingeconomics.com
    • zh.tradingeconomics.com
    • +16more
    csv, excel, json, xml
    Updated Mar 3, 2025
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    TRADING ECONOMICS (2025). Pakistan Inflation Rate [Dataset]. https://tradingeconomics.com/pakistan/inflation-cpi
    Explore at:
    xml, excel, csv, jsonAvailable download formats
    Dataset updated
    Mar 3, 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, 1957 - Feb 28, 2025
    Area covered
    Pakistan
    Description

    Inflation Rate in Pakistan decreased to 1.50 percent in February from 2.40 percent in January of 2025. This dataset provides the latest reported value for - Pakistan Inflation Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  11. BIL and IRA Funded Projects, Fiscal Years 2022-2025

    • catalog.data.gov
    Updated Feb 21, 2025
    + more versions
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    Bureau of Indian Affairs (2025). BIL and IRA Funded Projects, Fiscal Years 2022-2025 [Dataset]. https://catalog.data.gov/dataset/bipartisan-infrastructure-law-bil-funded-projects-fiscal-years-2022-23-32e7a
    Explore at:
    Dataset updated
    Feb 21, 2025
    Dataset provided by
    Bureau of Indian Affairshttp://www.bia.gov/
    Description

    On November 15, 2021, President Biden signed the Bipartisan Infrastructure Law (BIL), which invests more than $13 billion directly in Tribal communities across the country and makes Tribal communities eligible for billions more. For further explanation of the law please visit https://www.congress.gov/bill/117th-congress/house-bill/3684/text. These resources go to many Federal agencies to expand access to clean drinking water for Native communities, ensure every Native American has access to high-speed internet, tackle the climate crisis, advance environmental justice, and invest in Tribal communities that have too often been left behind. On August 16, 2022, President Biden signed the Inflation Reduction Act into law, marking the most significant action Congress has taken on clean energy and climate change in the nation’s history. With the stroke of his pen, the President redefined American leadership in confronting the existential threat of the climate crisis and set forth a new era of American innovation and ingenuity to lower consumer costs and drive the global clean energy economy forward. More information on this can be found here: https://www.whitehouse.gov/cleanenergy/inflation-reduction-act-guidebook/. This dataset illustrates the locations of Bureau of Indian Affairs projects funded by the Bipartisan Infrastructure Law and Inflation Reduction Act in Fiscal Year 2022, 2023, and 2024. The points illustrated in this dataset are the locations of Bureau of Indian Affairs projects funded by the Bipartisan Infrastructure Law and Inflation Reduction Act in Fiscal Year 2022 and 2023. The locations for the points in this layer were provided by the persons involved in the following groups: Division of Water and Power, DWP, Ecosystem Restoration, Irrigation, Power, Water Sanitation, Dam Safety, Branch of Geospatial Support, Bureau of Indian Affairs, BIA.GIS point feature class was created by Bureau of Indian Affairs - Branch Of Geospatial Support (BOGS), Division of Water and Power (DWP), Ecosystem Restoration, Irrigation, Bureau of Indian Affairs (BIA), Tribal Leaders Directory: https://www.bia.gov/service/tribal-leaders-directory/tld-csvexcel-dataset, The Department of the Interior | Strategic Hazard Identification and Risk Assessment Project: https://www.doi.gov/emergency/shira#main-content

  12. Replication dataset for PIIE WP 23-6, How the United States solved South...

    • piie.com
    Updated Jul 26, 2023
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    Chad P. Bown (2023). Replication dataset for PIIE WP 23-6, How the United States solved South Korea’s problems with electric vehicle subsidies under the Inflation Reduction Act by Chad P. Bown (2023). [Dataset]. https://www.piie.com/publications/working-papers/2023/how-united-states-solved-south-koreas-problems-electric-vehicle
    Explore at:
    Dataset updated
    Jul 26, 2023
    Dataset provided by
    Peterson Institute for International Economicshttp://www.piie.com/
    Authors
    Chad P. Bown
    Area covered
    South Korea, United States
    Description

    This data package includes the underlying data files to replicate the data, tables, and charts presented in How the United States solved South Korea’s problems with electric vehicle subsidies under the Inflation Reduction Act, PIIE Working Paper 23-6.

    If you use the data, please cite as: Bown, Chad P. 2023. How the United States solved South Korea’s problems with electric vehicle subsidies under the Inflation Reduction Act. PIIE Working Paper 23-6. Washington, DC: Peterson Institute for International Economics.

  13. N

    Cut Bank, MT annual median income by work experience and sex dataset: Aged...

    • neilsberg.com
    csv, json
    Updated Feb 27, 2025
    + more versions
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    Neilsberg Research (2025). Cut Bank, MT 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/cut-bank-mt-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
    Cut Bank, Montana
    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 Cut Bank. 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 Cut Bank, the median income for all workers aged 15 years and older, regardless of work hours, was $40,338 for males and $20,603 for females.

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

    - Full-time workers, aged 15 years and older: In Cut Bank, among full-time, year-round workers aged 15 years and older, males earned a median income of $49,265, while females earned $50,000

    Surprisingly, within the subset of full-time workers, women earn a higher income than men, earning 1.01 dollars for every dollar earned by men. This suggests that within full-time roles, womens median incomes significantly surpass mens, contrary to broader workforce trends.

    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 Cut Bank median household income by race. You can refer the same here

  14. N

    Show Low, AZ Median Household Income Trends (2010-2023, in 2023...

    • neilsberg.com
    csv, json
    Updated Mar 3, 2025
    + more versions
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    Show Low, AZ Median Household Income Trends (2010-2023, in 2023 inflation-adjusted dollars) [Dataset]. https://www.neilsberg.com/insights/show-low-az-median-household-income/
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Mar 3, 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
    Show Low, Arizona
    Variables measured
    Median Household Income, Median Household Income Year on Year Change, Median Household Income Year on Year Percent Change
    Measurement technique
    The data presented in this dataset is derived from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. It presents the median household income from the years 2010 to 2023 following an initial analysis and categorization of the census data. Subsequently, we adjusted these figures for inflation using the Consumer Price Index retroactive series via current methods (R-CPI-U-RS). For additional information about these estimations, please contact us via email at research@neilsberg.com
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset illustrates the median household income in Show Low, spanning the years from 2010 to 2023, with all figures adjusted to 2023 inflation-adjusted dollars. Based on the latest 2019-2023 5-Year Estimates from the American Community Survey, it displays how income varied over the last decade. The dataset can be utilized to gain insights into median household income trends and explore income variations.

    Key observations:

    From 2010 to 2023, the median household income for Show Low increased by $5,459 (9.43%), as per the American Community Survey estimates. In comparison, median household income for the United States increased by $5,602 (7.68%) between 2010 and 2023.

    Analyzing the trend in median household income between the years 2010 and 2023, spanning 13 annual cycles, we observed that median household income, when adjusted for 2023 inflation using the Consumer Price Index retroactive series (R-CPI-U-RS), experienced growth year by year for 7 years and declined for 6 years.

    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 2022-inflation-adjusted dollars.

    Years for which data is available:

    • 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 0223

    Variables / Data Columns

    • Year: This column presents the data year from 2010 to 2023
    • Median Household Income: Median household income, in 2023 inflation-adjusted dollars for the specific year
    • YOY Change($): Change in median household income between the current and the previous year, in 2023 inflation-adjusted dollars
    • YOY Change(%): Percent change in median household income between current and the previous year

    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 Show Low median household income. You can refer the same here

  15. T

    Greece Inflation Rate

    • tradingeconomics.com
    • pl.tradingeconomics.com
    • +17more
    csv, excel, json, xml
    Updated Mar 10, 2025
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    TRADING ECONOMICS (2025). Greece Inflation Rate [Dataset]. https://tradingeconomics.com/greece/inflation-cpi
    Explore at:
    csv, excel, json, xmlAvailable download formats
    Dataset updated
    Mar 10, 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, 1960 - Feb 28, 2025
    Area covered
    Greece
    Description

    Inflation Rate in Greece decreased to 2.50 percent in February from 2.70 percent in January of 2025. This dataset provides the latest reported value for - Greece Inflation Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  16. N

    Pottstown, PA Median Household Income Trends (2010-2023, in 2023...

    • neilsberg.com
    csv, json
    Updated Mar 3, 2025
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    Neilsberg Research (2025). Pottstown, PA Median Household Income Trends (2010-2023, in 2023 inflation-adjusted dollars) [Dataset]. https://www.neilsberg.com/insights/pottstown-pa-median-household-income/
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Mar 3, 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
    Pottstown, Pennsylvania
    Variables measured
    Median Household Income, Median Household Income Year on Year Change, Median Household Income Year on Year Percent Change
    Measurement technique
    The data presented in this dataset is derived from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. It presents the median household income from the years 2010 to 2023 following an initial analysis and categorization of the census data. Subsequently, we adjusted these figures for inflation using the Consumer Price Index retroactive series via current methods (R-CPI-U-RS). For additional information about these estimations, please contact us via email at research@neilsberg.com
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset illustrates the median household income in Pottstown, spanning the years from 2010 to 2023, with all figures adjusted to 2023 inflation-adjusted dollars. Based on the latest 2019-2023 5-Year Estimates from the American Community Survey, it displays how income varied over the last decade. The dataset can be utilized to gain insights into median household income trends and explore income variations.

    Key observations:

    From 2010 to 2023, the median household income for Pottstown decreased by $4,675 (7.68%), as per the American Community Survey estimates. In comparison, median household income for the United States increased by $5,602 (7.68%) between 2010 and 2023.

    Analyzing the trend in median household income between the years 2010 and 2023, spanning 13 annual cycles, we observed that median household income, when adjusted for 2023 inflation using the Consumer Price Index retroactive series (R-CPI-U-RS), experienced growth year by year for 6 years and declined for 7 years.

    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 2022-inflation-adjusted dollars.

    Years for which data is available:

    • 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 0223

    Variables / Data Columns

    • Year: This column presents the data year from 2010 to 2023
    • Median Household Income: Median household income, in 2023 inflation-adjusted dollars for the specific year
    • YOY Change($): Change in median household income between the current and the previous year, in 2023 inflation-adjusted dollars
    • YOY Change(%): Percent change in median household income between current and the previous year

    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 Pottstown median household income. You can refer the same here

  17. T

    Argentina Inflation Rate

    • tradingeconomics.com
    • pl.tradingeconomics.com
    • +16more
    csv, excel, json, xml
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    TRADING ECONOMICS, Argentina Inflation Rate [Dataset]. https://tradingeconomics.com/argentina/inflation-cpi
    Explore at:
    xml, excel, csv, jsonAvailable 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
    Jan 31, 1944 - Feb 28, 2025
    Area covered
    Argentina
    Description

    Inflation Rate in Argentina decreased to 66.90 percent in February from 84.50 percent in January of 2025. This dataset provides the latest reported value for - Argentina Inflation Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  18. Replication dataset for PIIE WP 23-1, Industrial policy for electric vehicle...

    • piie.com
    Updated May 2, 2023
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    Chad P. Bown (2023). Replication dataset for PIIE WP 23-1, Industrial policy for electric vehicle supply chains and the US-EU fight over the Inflation Reduction Act by Chad P. Bown (2023). [Dataset]. https://www.piie.com/publications/working-papers/2023/industrial-policy-electric-vehicle-supply-chains-and-us-eu-fight
    Explore at:
    Dataset updated
    May 2, 2023
    Dataset provided by
    Peterson Institute for International Economicshttp://www.piie.com/
    Authors
    Chad P. Bown
    Area covered
    European Union, United States
    Description

    This data package includes the underlying data files to replicate the data and charts presented in Industrial policy for electric vehicle supply chains and the US-EU fight over the Inflation Reduction Act, PIIE Working Paper 23-1.

    If you use the data, please cite as: Bown, Chad P. (2023). Industrial policy for electric vehicle supply chains and the US-EU fight over the Inflation Reduction Act, PIIE Working Paper 23-1. Peterson Institute for International Economics.

  19. N

    Median Household Income Variation by Family Size in Cut And Shoot, TX:...

    • neilsberg.com
    csv, json
    Updated Jan 11, 2024
    + more versions
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    Median Household Income Variation by Family Size in Cut And Shoot, TX: Comparative analysis across 7 household sizes [Dataset]. https://www.neilsberg.com/research/datasets/1ad2a384-73fd-11ee-949f-3860777c1fe6/
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Jan 11, 2024
    Dataset authored and provided by
    Neilsberg Research
    License

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

    Area covered
    Cut and Shoot, Texas
    Variables measured
    Household size, Median Household Income
    Measurement technique
    The data presented in this dataset is derived from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates. It delineates income distributions across 7 household sizes (mentioned above) following an initial analysis and categorization. Using this dataset, you can find out how household income varies with the size of the family unit. 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 household incomes for various household sizes in Cut And Shoot, TX, as reported by the U.S. Census Bureau. The dataset highlights the variation in median household income with the size of the family unit, offering valuable insights into economic trends and disparities within different household sizes, aiding in data analysis and decision-making.

    Key observations

    • Of the 7 household sizes (1 person to 7-or-more person households) reported by the census bureau, Cut And Shoot did not include 1, 6, or 7-person households. Across the different household sizes in Cut And Shoot the mean income is $101,792, and the standard deviation is $30,002. The coefficient of variation (CV) is 29.47%. This high CV indicates high relative variability, suggesting that the incomes vary significantly across different sizes of households.
    • In the most recent year, 2021, The smallest household size for which the bureau reported a median household income was 2-person households, with an income of $70,131. It then further increased to $111,350 for 5-person households, the largest household size for which the bureau reported a median household income.

    https://i.neilsberg.com/ch/cut-and-shoot-tx-median-household-income-by-household-size.jpeg" alt="Cut And Shoot, TX median household income, by household size (in 2022 inflation-adjusted dollars)">

    Content

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

    Household Sizes:

    • 1-person households
    • 2-person households
    • 3-person households
    • 4-person households
    • 5-person households
    • 6-person households
    • 7-or-more-person households

    Variables / Data Columns

    • Household Size: This column showcases 7 household sizes ranging from 1-person households to 7-or-more-person households (As mentioned above).
    • Median Household Income: Median household income, in 2022 inflation-adjusted dollars for the specific household size.

    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 Cut And Shoot median household income. You can refer the same here

  20. T

    Nigeria Inflation Rate

    • tradingeconomics.com
    • de.tradingeconomics.com
    • +17more
    csv, excel, json, xml
    Updated Feb 18, 2025
    Share
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    Nigeria Inflation Rate [Dataset]. https://tradingeconomics.com/nigeria/inflation-cpi
    Explore at:
    xml, excel, json, csvAvailable download formats
    Dataset updated
    Feb 18, 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, 1996 - Feb 28, 2025
    Area covered
    Nigeria
    Description

    Inflation Rate in Nigeria decreased to 23.18 percent in February from 24.48 percent in January of 2025. This dataset provides - Nigeria Inflation Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Share
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Email
Click to copy link
Link copied
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Cite
David Reifschneider; David Wilcox (2019). Replication dataset and calculations for PIIE PB 19-16, Average Inflation Targeting Would Be a Weak Tool for the Fed to Deal with Recession and Chronic Low Inflation, by David Reifschneider and David Wilcox. (2019). [Dataset]. https://www.piie.com/publications/policy-briefs/average-inflation-targeting-would-be-weak-tool-fed-deal-recession-and
Organization logo

Replication dataset and calculations for PIIE PB 19-16, Average Inflation Targeting Would Be a Weak Tool for the Fed to Deal with Recession and Chronic Low Inflation, by David Reifschneider and David Wilcox. (2019).

Explore at:
3 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Nov 4, 2019
Dataset provided by
Peterson Institute for International Economicshttp://www.piie.com/
Authors
David Reifschneider; David Wilcox
Description

This data package includes the underlying data and files to replicate the calculations, charts, and tables presented in Average Inflation Targeting Would Be a Weak Tool for the Fed to Deal with Recession and Chronic Low Inflation, PIIE Policy Brief 19-16. If you use the data, please cite as: Reifschneider, David, and David Wilcox. (2019). Average Inflation Targeting Would Be a Weak Tool for the Fed to Deal with Recession and Chronic Low Inflation. PIIE Policy Brief 19-16. Peterson Institute for International Economics.

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