35 datasets found
  1. T

    United States Inflation Rate

    • tradingeconomics.com
    • fa.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated May 13, 2025
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    TRADING ECONOMICS (2025). United States Inflation Rate [Dataset]. https://tradingeconomics.com/united-states/inflation-cpi
    Explore at:
    json, excel, xml, csvAvailable download formats
    Dataset updated
    May 13, 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, 1914 - Apr 30, 2025
    Area covered
    United States
    Description

    Inflation Rate in the United States decreased to 2.30 percent in April from 2.40 percent in March of 2025. This dataset provides - United States Inflation Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  2. U.S. monthly inflation rate 2025

    • statista.com
    • ai-chatbox.pro
    Updated Mar 11, 2025
    + more versions
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    Statista (2025). U.S. monthly inflation rate 2025 [Dataset]. https://www.statista.com/statistics/273418/unadjusted-monthly-inflation-rate-in-the-us/
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    Dataset updated
    Mar 11, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2021 - Jan 2025
    Area covered
    United States
    Description

    In January 2025, prices had increased by three percent compared to January 2024 according to the 12-month percentage change in the consumer price index — the monthly inflation rate for goods and services in the United States. The data represents U.S. city averages. In economics, the inflation rate is a measure of the change in price level over time. The rate of decrease in the purchasing power of money is approximately equal. A projection of the annual U.S. inflation rate can be accessed here and the actual annual inflation rate since 1990 can be accessed here. InflationOne of the most important economic indicators is the development of the Consumer Price Index in a country. The change in this price level of goods and services is defined as the rate of inflation. The inflationary situation in the United States had been relatively severe in 2022 due to global events relating to COVID-19, supply chain restrains, and the Russian invasion of Ukraine. More information on U.S. inflation may be found on our dedicated topic page. The annual inflation rate in the United States has increased from 3.2 percent in 2011 to 8.3 percent in 2022. This means that the purchasing power of the U.S. dollar has weakened in recent years. The purchasing power is the extent to which a person has available funds to make purchases. According to the data published by the International Monetary Fund, the U.S. Consumer Price Index (CPI) was about 258.84 in 2020 and is forecasted to grow up to 325.6 by 2027, compared to the base period from 1982 to 1984. The monthly percentage change in the Consumer Price Index (CPI) for urban consumers in the United States was 0.1 percent in March 2023 compared to the previous month. In 2022, countries all around the world are experienced high levels of inflation. Although Brazil already had an inflation rate of 8.3 percent in 2021, compared to the previous year, while the inflation rate in China stood at 0.85 percent.

  3. Monthly inflation rates in developed and emerging countries 2021-2024

    • statista.com
    • ai-chatbox.pro
    Updated May 30, 2025
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    Statista (2025). Monthly inflation rates in developed and emerging countries 2021-2024 [Dataset]. https://www.statista.com/statistics/1034154/monthly-inflation-rates-developed-emerging-countries/
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    Dataset updated
    May 30, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2021 - Dec 2024
    Area covered
    Worldwide
    Description

    Of the major developed and emerging economies, China had the lowest inflation rate at 0.1 percent in December 2024. On the other end of the spectrum, the inflation rate in Russia stood at nearly 10 percent. The country's inflation rate increased sharply after the country's President, Vladimir Putin, decided to invade Ukraine, declined somewhat in 2023, before increasing slowly again since. The rate of inflation reflects changes in the cost of a specified basket containing a representative selection of goods and services. It is derived from the consumer price index (CPI).

  4. T

    Euro Area Inflation Rate

    • tradingeconomics.com
    • fa.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jun 3, 2025
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    TRADING ECONOMICS (2025). Euro Area Inflation Rate [Dataset]. https://tradingeconomics.com/euro-area/inflation-cpi
    Explore at:
    excel, json, csv, xmlAvailable download formats
    Dataset updated
    Jun 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, 1991 - May 31, 2025
    Area covered
    Euro Area
    Description

    Inflation Rate In the Euro Area decreased to 1.90 percent in May from 2.20 percent in April of 2025. This dataset provides the latest reported value for - Euro Area Inflation Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  5. House price index in emerging and advanced economies worldwide 2008-2024, by...

    • statista.com
    Updated May 28, 2025
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    Statista (2025). House price index in emerging and advanced economies worldwide 2008-2024, by quarter [Dataset]. https://www.statista.com/statistics/1427342/house-price-index-emerging-and-advanced-economies-worldwide/
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    Dataset updated
    May 28, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    Global house prices experienced a significant shift in 2022, with advanced economies seeing a notable decline after a prolonged period of growth. The real house price index (adjusted for inflation) for advanced economies peaked at nearly *** index points in early 2022 before falling to around ****** points by the fourth quarter of 2024. This represents a reversal of the upward trend that had characterized the housing market for roughly a decade. Conversely, real house prices in emerging economies resumed growing, after a brief correction in the second half of 2022. What is behind the slowdown? Inflation and slow economic growth have been the primary drivers for the cooling of the housing market. Secondly, the growing gap between incomes and house prices since 2012 has decreased the affordability of homeownership. Last but not least, homebuyers in 2024 faced dramatically higher mortgage interest rates, further contributing to worsening sentiment and declining transactions. Some markets continue to grow While many countries witnessed a deceleration in house price growth in 2022, some markets continued to see substantial increases. Turkey, in particular, stood out with a nominal increase in house prices of over ** percent in the first quarter of 2024. Other countries that recorded a two-digit growth include Russia and the United Arab Emirates. When accounting for inflation, the three countries with the fastest growing residential prices in early 2024 were the United Arab Emirates, Poland, and Bulgaria.

  6. T

    South Africa Inflation Rate

    • tradingeconomics.com
    • ar.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated May 21, 2025
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    TRADING ECONOMICS (2025). South Africa Inflation Rate [Dataset]. https://tradingeconomics.com/south-africa/inflation-cpi
    Explore at:
    json, xml, excel, csvAvailable download formats
    Dataset updated
    May 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
    Jul 31, 1968 - Apr 30, 2025
    Area covered
    South Africa
    Description

    Inflation Rate in South Africa increased to 2.80 percent in April from 2.70 percent in March of 2025. This dataset provides - South Africa Inflation Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  7. Oil Prices Steady as US Inflation Shows Signs of Cooling - News and...

    • indexbox.io
    doc, docx, pdf, xls +1
    Updated Jun 1, 2025
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    IndexBox Inc. (2025). Oil Prices Steady as US Inflation Shows Signs of Cooling - News and Statistics - IndexBox [Dataset]. https://www.indexbox.io/blog/oil-prices-stabilize-amid-cooling-us-inflation/
    Explore at:
    doc, xls, docx, pdf, xlsxAvailable download formats
    Dataset updated
    Jun 1, 2025
    Dataset provided by
    IndexBox
    Authors
    IndexBox Inc.
    License

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

    Time period covered
    Jan 1, 2012 - Jun 1, 2025
    Area covered
    Kazakhstan
    Variables measured
    Market Size, Market Share, Tariff Rates, Average Price, Export Volume, Import Volume, Demand Elasticity, Market Growth Rate, Market Segmentation, Volume of Production, and 4 more
    Description

    Oil prices stabilize amid easing US inflation, with WTI crude trading just under $68 per barrel. Production adjustments are key in maintaining market balance.

  8. Inflation rate in the ASEAN countries 2030

    • statista.com
    • ai-chatbox.pro
    Updated May 27, 2025
    + more versions
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    Statista (2025). Inflation rate in the ASEAN countries 2030 [Dataset]. https://www.statista.com/statistics/804325/inflation-rate-in-the-asean-countries/
    Explore at:
    Dataset updated
    May 27, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Brunei, Myanmar [Burma], Cambodia, Indonesia, Thailand, Philippines, Vietnam, Singapore, Malaysia, Laos
    Description

    Inflation rates in the Association of Southeast Asian Nations (ASEAN) ranged from 31 percent inflation in Laos to 0.37 percent inflation in Brunei Darussalam. While countries like Vietnam are likely benefitting from more stable inflation than earlier seen, only a few countries are in the 2 to 6 percent range that many economists view as optimal for emerging economies. Effects of high inflation High inflation is generally detrimental to the economy. Prices tend to rise faster than wages, meaning that people and firms have less purchasing power. This in turn leads to slower growth in the gross domestic product (GDP). It also leads to a weaker currency. For countries with a positive trade balance this can be beneficial, because exports are relatively cheaper to foreign buyers. Through the same mechanism, net importers suffer from a weaker currency. Additionally, inflation makes a country’s national debt less expensive if the debt is denominated in the local currency. However, most of this debt is in U.S. dollars, so inflation makes the debt more difficult to service and repay. Risks of deflation With deflation, consumers and firms delay investments because they expect prices to be lower in the future. This slows consumption and investment, two major components of GDP growth. The most common example of this is Japan, where the GDP growth rate has been low for a long time due, in large part, to deflation. For this reason, countries like Brunei would rather see low and stable inflation than slight deflation.

  9. F

    Producer Price Index by Industry: Air-Conditioning, Refrigeration, and...

    • fred.stlouisfed.org
    json
    Updated Jun 12, 2025
    + more versions
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    (2025). Producer Price Index by Industry: Air-Conditioning, Refrigeration, and Forced Air Heating Equipment Manufacturing: Unitary Air-Conditioners, Except Air Source Heat Pumps [Dataset]. https://fred.stlouisfed.org/series/PCU333415333415E
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jun 12, 2025
    License

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

    Description

    Graph and download economic data for Producer Price Index by Industry: Air-Conditioning, Refrigeration, and Forced Air Heating Equipment Manufacturing: Unitary Air-Conditioners, Except Air Source Heat Pumps (PCU333415333415E) from Jan 1978 to May 2025 about heating, equipment, manufacturing, PPI, industry, inflation, price index, indexes, price, and USA.

  10. N

    Cool, TX Median Household Income Trends (2010-2023, in 2023...

    • neilsberg.com
    csv, json
    Updated Mar 3, 2025
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    Neilsberg Research (2025). Cool, TX Median Household Income Trends (2010-2023, in 2023 inflation-adjusted dollars) [Dataset]. https://www.neilsberg.com/research/datasets/16e77f6e-f81d-11ef-a994-3860777c1fe6/
    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
    Texas, Cool
    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 Cool, 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 Cool increased by $18,821 (56.41%), 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 Cool median household income. You can refer the same here

  11. F

    Producer Price Index by Commodity: Machinery and Equipment: Air Conditioning...

    • fred.stlouisfed.org
    json
    Updated May 15, 2025
    + more versions
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    (2025). Producer Price Index by Commodity: Machinery and Equipment: Air Conditioning and Refrigeration Equipment [Dataset]. https://fred.stlouisfed.org/series/WPU1148
    Explore at:
    jsonAvailable download formats
    Dataset updated
    May 15, 2025
    License

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

    Description

    Graph and download economic data for Producer Price Index by Commodity: Machinery and Equipment: Air Conditioning and Refrigeration Equipment (WPU1148) from Dec 1977 to Apr 2025 about travel, machinery, equipment, commodities, PPI, inflation, price index, indexes, price, and USA.

  12. F

    Producer Price Index by Industry: Plumbing, Heating and Air-Conditioning...

    • fred.stlouisfed.org
    json
    Updated May 15, 2025
    + more versions
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    (2025). Producer Price Index by Industry: Plumbing, Heating and Air-Conditioning Contractors, Nonresidential Building Work [Dataset]. https://fred.stlouisfed.org/series/PCU23822X23822X
    Explore at:
    jsonAvailable download formats
    Dataset updated
    May 15, 2025
    License

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

    Description

    Graph and download economic data for Producer Price Index by Industry: Plumbing, Heating and Air-Conditioning Contractors, Nonresidential Building Work (PCU23822X23822X) from Dec 2007 to Apr 2025 about plumbing, contractors, heating, nonresidential, buildings, PPI, industry, inflation, price index, indexes, price, and USA.

  13. t

    PPI INDEX IMPORT - C2825 Non-domestic cooling and ventilation equipment...

    • timeseriesexplorer.com
    Updated May 22, 2024
    + more versions
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    Time Series Explorer (2024). PPI INDEX IMPORT - C2825 Non-domestic cooling and ventilation equipment 2015=100 (CDID: ERWC) Month | Producer price inflation time series [Dataset]. https://www.timeseriesexplorer.com/d3e005c5cbde0a22062cdff298984da9/d90ae16ea63ddff6e550d17ccc0d64f4/
    Explore at:
    Dataset updated
    May 22, 2024
    Dataset provided by
    Office for National Statistics
    Time Series Explorer
    Description

    (CDID: ERWC) Month - Producer price inflation time series A comprehensive selection of data on input and output indices. Contains producer price indices of materials and fuels purchased and output of manufacturing industry by broad sector.

  14. N

    Cool, TX annual median income by work experience and sex dataset: Aged 15+,...

    • neilsberg.com
    csv, json
    Updated Feb 27, 2025
    + more versions
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    Neilsberg Research (2025). Cool, TX 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/cool-tx-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
    Texas, Cool
    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 Cool. 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 Cool, the median income for all workers aged 15 years and older, regardless of work hours, was $21,250 for males and $26,250 for females.

    Contrary to expectations, women in Cool, women, regardless of work hours, earn a higher income than men, earning 1.24 dollars for every dollar earned by men. This analysis indicates a significant shift in income dynamics favoring females.

    - Full-time workers, aged 15 years and older: In Cool, for full-time, year-round workers aged 15 years and older, the Census reported a median income of $56,667 for females, while data for males was unavailable due to an insufficient number of sample observations.

    As there was no available median income data for males, conducting a comprehensive assessment of gender-based pay disparity in Cool was not feasible.

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

  15. A

    Automotive Side Cooling Plate Report

    • archivemarketresearch.com
    doc, pdf, ppt
    Updated Apr 1, 2025
    + more versions
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    Archive Market Research (2025). Automotive Side Cooling Plate Report [Dataset]. https://www.archivemarketresearch.com/reports/automotive-side-cooling-plate-111048
    Explore at:
    doc, pdf, pptAvailable download formats
    Dataset updated
    Apr 1, 2025
    Dataset authored and provided by
    Archive Market Research
    License

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

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

    The global automotive side cooling plate market is experiencing robust growth, driven by the increasing demand for fuel-efficient and environmentally friendly vehicles. The market size in 2025 is estimated at $2.5 billion, exhibiting a Compound Annual Growth Rate (CAGR) of 7% from 2025 to 2033. This growth is fueled by several key factors, including stringent emission regulations globally pushing automakers to adopt advanced cooling technologies, and the rising popularity of electric vehicles (EVs) and hybrid electric vehicles (HEVs), which require efficient thermal management systems. The increasing adoption of lightweight materials in vehicle construction also contributes to the market's expansion, as lighter plates reduce vehicle weight and enhance fuel efficiency. Different types of side cooling plates – tube type, stamping type, and inflation type – cater to diverse vehicle requirements and manufacturing processes. The passenger vehicle segment currently holds a larger market share compared to the commercial vehicle segment, however, the commercial vehicle segment is projected to witness faster growth owing to the increasing demand for heavy-duty vehicles with advanced cooling systems. Key players like Dana, Valeo, MAHLE, and others are focusing on technological advancements and strategic partnerships to strengthen their market positions. The Asia Pacific region, particularly China and India, is anticipated to be a key growth driver due to the rapid expansion of the automotive industry in these countries. The market, however, faces certain restraints, including fluctuating raw material prices and the potential for supply chain disruptions. Despite these challenges, the long-term outlook for the automotive side cooling plate market remains positive, driven by continued innovation in cooling technologies and the global shift towards sustainable transportation. The market is expected to witness a significant increase in the adoption of advanced materials and manufacturing techniques in the coming years, leading to further improvements in cooling efficiency and cost-effectiveness. Regional variations in growth rates will be influenced by factors such as government regulations, economic conditions, and the level of automotive production in each region. The ongoing research and development efforts by market players to enhance the performance and durability of cooling plates further solidify the optimistic market forecast.

  16. N

    Median Household Income by Racial Categories in Cool Valley, MO (, in 2023...

    • neilsberg.com
    csv, json
    Updated Mar 1, 2025
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    Neilsberg Research (2025). Median Household Income by Racial Categories in Cool Valley, MO (, in 2023 inflation-adjusted dollars) [Dataset]. https://www.neilsberg.com/research/datasets/e0996c52-f665-11ef-a994-3860777c1fe6/
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Mar 1, 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
    Missouri, Cool Valley
    Variables measured
    Median Household Income for Asian Population, Median Household Income for Black Population, Median Household Income for White Population, Median Household Income for Some other race Population, Median Household Income for Two or more races Population, Median Household Income for American Indian and Alaska Native Population, Median Household Income for Native Hawaiian and Other Pacific Islander Population
    Measurement technique
    The data presented in this dataset is derived from the latest U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. To portray the median household income within each racial category idetified by the US Census Bureau, we conducted an initial analysis and categorization of the data. Subsequently, we adjusted these figures for inflation using the Consumer Price Index retroactive series via current methods (R-CPI-U-RS). It is important to note that the median household income estimates exclusively represent the identified racial categories and do not incorporate any ethnicity classifications. Households are categorized, and median incomes are reported based on the self-identified race of the head of the household. For additional information about these estimations, please contact us via email at research@neilsberg.com
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset presents the median household income across different racial categories in Cool Valley. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to gain insights into economic disparities and trends and explore the variations in median houshold income for diverse racial categories.

    Key observations

    Based on our analysis of the distribution of Cool Valley population by race & ethnicity, the population is predominantly Black or African American. This particular racial category constitutes the majority, accounting for 89.23% of the total residents in Cool Valley. Notably, the median household income for Black or African American households is $50,556. Interestingly, despite the Black or African American population being the most populous, it is worth noting that White households actually reports the highest median household income, with a median income of $65,000. This reveals that, while Black or African Americans may be the most numerous in Cool Valley, White households experience greater economic prosperity in terms of median household income.

    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

    Racial categories include:

    • White
    • Black or African American
    • American Indian and Alaska Native
    • Asian
    • Native Hawaiian and Other Pacific Islander
    • Some other race
    • Two or more races (multiracial)

    Variables / Data Columns

    • Race of the head of household: This column presents the self-identified race of the household head, encompassing all relevant racial categories (excluding ethnicity) applicable in Cool Valley.
    • Median household income: Median household income, adjusting for inflation, presented in 2023-inflation-adjusted dollars

    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 Cool Valley median household income by race. You can refer the same here

  17. N

    Cool Valley, MO annual median income by work experience and sex dataset:...

    • neilsberg.com
    csv, json
    Updated Feb 27, 2025
    + more versions
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    Neilsberg Research (2025). Cool Valley, MO 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/cool-valley-mo-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
    Missouri, Cool Valley
    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 Cool Valley. 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 Cool Valley, the median income for all workers aged 15 years and older, regardless of work hours, was $20,625 for males and $25,043 for females.

    Contrary to expectations, women in Cool Valley, women, regardless of work hours, earn a higher income than men, earning 1.21 dollars for every dollar earned by men. This analysis indicates a significant shift in income dynamics favoring females.

    - Full-time workers, aged 15 years and older: In Cool Valley, among full-time, year-round workers aged 15 years and older, males earned a median income of $33,155, while females earned $51,615

    Contrary to expectations, in Cool Valley, women, earn a higher income than men, earning 1.56 dollars for every dollar earned by men. This analysis showcase a consistent trend of women outearning men, when working full-time or part-time in the city of Cool Valley.

    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 Cool Valley median household income by race. You can refer the same here

  18. Producer price growth rate of HVAC and commercial refrigeration in the U.S....

    • statista.com
    Updated Dec 6, 2024
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    Statista (2024). Producer price growth rate of HVAC and commercial refrigeration in the U.S. 2005-2023 [Dataset]. https://www.statista.com/statistics/1377851/annual-producer-price-growth-rate-of-hvac-and-refrigeration-equipment-united-states/
    Explore at:
    Dataset updated
    Dec 6, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The producer price of heating, ventilation, and air conditioning (HVAC) and commercial refrigeration equipment in the United States increased by nearly seven percent in 2023. The cost of HVAC-R soared, growing by 7.6 percent in 2021 and by 20 percent the following year. The overall cost of construction materials in the U.S. increased that year.

  19. F

    Producer Price Index by Commodity: Machinery and Equipment: Parts and...

    • fred.stlouisfed.org
    json
    Updated May 16, 2025
    + more versions
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    (2025). Producer Price Index by Commodity: Machinery and Equipment: Parts and Accessories for Air Conditioning and Heat Transfer Equipment [Dataset]. https://fred.stlouisfed.org/series/WPS114809
    Explore at:
    jsonAvailable download formats
    Dataset updated
    May 16, 2025
    License

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

    Description

    Graph and download economic data for Producer Price Index by Commodity: Machinery and Equipment: Parts and Accessories for Air Conditioning and Heat Transfer Equipment (WPS114809) from Jan 1995 to Apr 2025 about heating, parts, machinery, equipment, commodities, PPI, inflation, price index, indexes, price, and USA.

  20. N

    Cool, TX Median Income by Age Groups Dataset: A Comprehensive Breakdown of...

    • neilsberg.com
    csv, json
    Updated Aug 7, 2024
    + more versions
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    Neilsberg Research (2024). Cool, TX Median Income by Age Groups Dataset: A Comprehensive Breakdown of Cool Annual Median Income Across 4 Key Age Groups // 2024 Edition [Dataset]. https://www.neilsberg.com/research/datasets/a3ce5473-54ae-11ef-a42e-3860777c1fe6/
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Aug 7, 2024
    Dataset authored and provided by
    Neilsberg Research
    License

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

    Area covered
    Texas, Cool
    Variables measured
    Income for householder under 25 years, Income for householder 65 years and over, Income for householder between 25 and 44 years, Income for householder between 45 and 64 years
    Measurement technique
    The data presented in this dataset is derived from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates. It delineates income distributions across four age groups (Under 25 years, 25 to 44 years, 45 to 64 years, and 65 years and over) following an initial analysis and categorization. Subsequently, we adjusted these figures for inflation using the Consumer Price Index retroactive series via current methods (R-CPI-U-RS). For additional information about these estimations, please contact us via email at research@neilsberg.com
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset presents the distribution of median household income among distinct age brackets of householders in Cool. Based on the latest 2018-2022 5-Year Estimates from the American Community Survey, it displays how income varies among householders of different ages in Cool. It showcases how household incomes typically rise as the head of the household gets older. The dataset can be utilized to gain insights into age-based household income trends and explore the variations in incomes across households.

    Key observations: Insights from 2022

    In terms of income distribution across age cohorts, in Cool, where there exist only two delineated age groups, the median household income is $62,150 for householders within the 25 to 44 years age group, compared to $40,348 for the 65 years and over age group.

    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2023-inflation-adjusted dollars.

    Age groups classifications include:

    • Under 25 years
    • 25 to 44 years
    • 45 to 64 years
    • 65 years and over

    Variables / Data Columns

    • Age Of The Head Of Household: This column presents the age of the head of household
    • Median Household Income: Median household income, in 2022 inflation-adjusted dollars for the specific age group

    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 Cool median household income by age. You can refer the same here

Share
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Email
Click to copy link
Link copied
Close
Cite
TRADING ECONOMICS (2025). United States Inflation Rate [Dataset]. https://tradingeconomics.com/united-states/inflation-cpi

United States Inflation Rate

United States Inflation Rate - Historical Dataset (1914-12-31/2025-04-30)

Explore at:
150 scholarly articles cite this dataset (View in Google Scholar)
json, excel, xml, csvAvailable download formats
Dataset updated
May 13, 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, 1914 - Apr 30, 2025
Area covered
United States
Description

Inflation Rate in the United States decreased to 2.30 percent in April from 2.40 percent in March of 2025. This dataset provides - United States Inflation Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

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