100+ datasets found
  1. Categories that contributed most to inflation Japan 2024

    • statista.com
    Updated Nov 29, 2025
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    Statista (2025). Categories that contributed most to inflation Japan 2024 [Dataset]. https://www.statista.com/statistics/1415705/japan-contribution-annual-change-consumer-price-index-by-category/
    Explore at:
    Dataset updated
    Nov 29, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    Japan
    Description

    In 2024, food items were the category that contributed most to the year-on-year change of the Consumer Price Index (CPI) of all items in Japan, with a contribution of ****. Culture and recreation followed with a contribution ****. The total contribution of all items is equal to the rate of change of the CPI, which was *** percent in 2024. The CPI of all items rose to ***** index points.

  2. Consumer price inflation tables

    • ons.gov.uk
    • cy.ons.gov.uk
    xlsx
    Updated Oct 22, 2025
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    Office for National Statistics (2025). Consumer price inflation tables [Dataset]. https://www.ons.gov.uk/economy/inflationandpriceindices/datasets/consumerpriceinflation
    Explore at:
    xlsxAvailable download formats
    Dataset updated
    Oct 22, 2025
    Dataset provided by
    Office for National Statisticshttp://www.ons.gov.uk/
    License

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

    Description

    Measures of monthly UK inflation data including CPIH, CPI and RPI. These tables complement the consumer price inflation time series dataset.

  3. Inflation rate of the European Union 2002-2024, by category

    • statista.com
    Updated Apr 15, 2025
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    Statista (2025). Inflation rate of the European Union 2002-2024, by category [Dataset]. https://www.statista.com/statistics/328540/monthly-inflation-rate-eu/
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    Dataset updated
    Apr 15, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2002 - Dec 2024
    Area covered
    European Union
    Description

    In December 2024, energy prices increased by approximately 0.7 percent in the European Union, when compared with a year earlier, according to the harmonized index of consumer prices index. This represents a change compared to the dramatic deflation of energy prices experienced between September 2023 and April 2024. During December 2024, the inflation rate for food prices was three percent, while in non-energy industrial goods, costs were estimated to have gone up by 0.7 percent. For services, prices in December 2024 have increased by 4.2 percent compared to the previous year.

  4. CPIH-consistent inflation rates for income groups by category of spend

    • cy.ons.gov.uk
    • ons.gov.uk
    xlsx
    Updated Aug 15, 2018
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    Office for National Statistics (2018). CPIH-consistent inflation rates for income groups by category of spend [Dataset]. https://cy.ons.gov.uk/economy/inflationandpriceindices/datasets/cpihconsistentinflationratesforincomegroupsbycategoryofspend
    Explore at:
    xlsxAvailable download formats
    Dataset updated
    Aug 15, 2018
    Dataset provided by
    Office for National Statisticshttp://www.ons.gov.uk/
    License

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

    Description

    Consumer Prices Index including owner occupiers’ housing costs (CPIH)-consistent inflation rates calculated for different income groups in the UK, by category of spend. Data are for the period 2005 to 2018.

  5. Inflation rate in Japan 2024, by category

    • statista.com
    Updated Jan 24, 2025
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    Statista (2025). Inflation rate in Japan 2024, by category [Dataset]. https://www.statista.com/statistics/1446171/japan-consumer-price-index-annual-growth-rate-by-category/
    Explore at:
    Dataset updated
    Jan 24, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    Japan
    Description

    In 2024, culture and recreation recorded the highest annual growth among major items in the Consumer Price Index in Japan, at *** percent. The CPI of food increased by *** percent compared to the previous year.

  6. T

    United States Inflation Rate

    • tradingeconomics.com
    • fa.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Oct 24, 2025
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    TRADING ECONOMICS (2025). United States Inflation Rate [Dataset]. https://tradingeconomics.com/united-states/inflation-cpi
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    json, excel, xml, csvAvailable download formats
    Dataset updated
    Oct 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, 1914 - Sep 30, 2025
    Area covered
    United States
    Description

    Inflation Rate in the United States increased to 3 percent in September from 2.90 percent in August of 2025. This dataset provides - United States Inflation Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  7. LIBYA Inflation Data (2004 - 2024)

    • kaggle.com
    zip
    Updated Sep 10, 2024
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    Mohamed Aldofani (2024). LIBYA Inflation Data (2004 - 2024) [Dataset]. https://www.kaggle.com/datasets/mohamedaldofani/libya-inflation-data-2004-2024/code
    Explore at:
    zip(1290 bytes)Available download formats
    Dataset updated
    Sep 10, 2024
    Authors
    Mohamed Aldofani
    Area covered
    Libya
    Description

    The dataset is sourced from the Bureau of Statistics and Census, Libya, provides official monthly inflation data from January 2004 to June 2024, featuring key Consumer Price Index (CPI) categories including: - Food and Beverages - Housing, Water, Electricity, and Other Fuels - Transport - Clothing and Footwear - Furniture and Household Equipment - Health - Education - Miscellaneous Goods and Services - Recreation and Culture - Communication - Restaurant and Hotels - Tobacco

    It is an invaluable resource for analysing inflation trends and conducting economic forecasting.

  8. B

    Brazil IPCA: Inflation Surprise: Copom scenario

    • ceicdata.com
    Updated Feb 10, 2022
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    CEICdata.com (2022). Brazil IPCA: Inflation Surprise: Copom scenario [Dataset]. https://www.ceicdata.com/en/brazil/consumer-price-index-broad-category-ipca-inflation-surprise
    Explore at:
    Dataset updated
    Feb 10, 2022
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Dec 1, 2023 - Nov 1, 2024
    Area covered
    Brazil
    Description

    IPCA: Inflation Surprise: Copom scenario data was reported at 1.170 % in Feb 2025. This records an increase from the previous number of -0.080 % for Jan 2025. IPCA: Inflation Surprise: Copom scenario data is updated monthly, averaging 0.360 % from Jun 2016 (Median) to Feb 2025, with 105 observations. The data reached an all-time high of 1.210 % in Apr 2022 and a record low of -0.210 % in Sep 2022. IPCA: Inflation Surprise: Copom scenario data remains active status in CEIC and is reported by Central Bank of Brazil. The data is categorized under Brazil Premium Database’s Inflation – Table BR.IB010: Consumer Price Index: Broad Category - IPCA: Inflation Surprise.

  9. United States: monthly price change rate of non-food items July 2025

    • statista.com
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    Statista, United States: monthly price change rate of non-food items July 2025 [Dataset]. https://www.statista.com/statistics/1303044/unadjusted-monthly-inflation-rate-in-the-us-non-food/
    Explore at:
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Feb 2024 - Feb 2025
    Area covered
    United States
    Description

    In July 2025, the 12-month inflation rate in the United States was at 2.7 percent. While some non-products continued to see increases in prices, such as hardware and housekeeping supplies, prices for other categories saw some decreases. In that month, the CPI for appliances fell by 0.3 percent in the U.S..

  10. Argentina: food and beverage categories consumer price index in GBA region...

    • statista.com
    Updated Jun 26, 2025
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    Statista (2025). Argentina: food and beverage categories consumer price index in GBA region 2025 [Dataset]. https://www.statista.com/statistics/1546827/food-and-beverages-cpi-in-gba-argentina/
    Explore at:
    Dataset updated
    Jun 26, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    May 2025
    Area covered
    Argentina
    Description

    In May 2025, the category with the highest consumer price index (CPI) in Greater Buenos Aires was milk, dairy products, and eggs, with a CPI of *******.

  11. Product Retail Prices per month from 2017-2025

    • kaggle.com
    zip
    Updated Apr 13, 2025
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    Aradhana Hirapara (2025). Product Retail Prices per month from 2017-2025 [Dataset]. https://www.kaggle.com/datasets/aradhanahirapara/product-retail-price-survey-2017-2025
    Explore at:
    zip(2543973 bytes)Available download formats
    Dataset updated
    Apr 13, 2025
    Authors
    Aradhana Hirapara
    Description

    This dataset contains monthly retail price data for a wide range of consumer products sold in various Canadian provinces over several years. It has been enriched with tax, category, and classification metadata for deeper insights.

    Usefulness of the Dataset

    This dataset can be used for:

    Use CaseDescription
    Price Trend AnalysisTrack price movements over time, province, and product category.
    Inflation StudiesExamine inflation on essentials vs non-essentials over time.
    Regional Price ComparisonAnalyze cost disparities for the same goods across provinces.
    Tax Policy ImpactUnderstand how tax laws affect consumer pricing by region.
    Budget OptimizationIdentify high-cost vs low-cost essentials for better planning.
    Machine Learning IntegrationUse in models for price prediction or consumer segmentation.

    Purpose and Use Cases

    This dataset is ideal for:

    🏛️ Policy Analysis

    Understand how federal and provincial taxes shape price access — especially for essentials like milk, bread, or medications.

    🧍‍♀️ Consumer Insights

    See how costs for personal care, food, and baby goods evolve month-over-month in each region.

    💸 Inflation & Seasonality

    Analyze how monthly or yearly trends (e.g., holiday spikes or inflation events) affect product pricing.

    🌍 Social Impact Studies

    Measure product accessibility gaps between provinces for low-income consumers or high-tax regions.

    🛍️ Retail & Budget Planning

    Guide families, retailers, or policymakers on where and when to buy or subsidize certain products.

  12. B

    Brazil IPCA: Inflation Surprise: Actual IPCA: Last 12 months

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). Brazil IPCA: Inflation Surprise: Actual IPCA: Last 12 months [Dataset]. https://www.ceicdata.com/en/brazil/consumer-price-index-broad-category-ipca-inflation-surprise/ipca-inflation-surprise-actual-ipca-last-12-months
    Explore at:
    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Aug 1, 2021 - May 1, 2024
    Area covered
    Brazil
    Description

    Brazil IPCA: Inflation Surprise: Actual IPCA: Last 12 months data was reported at 5.060 % in Feb 2025. This records an increase from the previous number of 4.870 % for Nov 2024. Brazil IPCA: Inflation Surprise: Actual IPCA: Last 12 months data is updated quarterly, averaging 4.500 % from Aug 2016 (Median) to Feb 2025, with 35 observations. The data reached an all-time high of 11.730 % in May 2022 and a record low of 1.880 % in May 2020. Brazil IPCA: Inflation Surprise: Actual IPCA: Last 12 months data remains active status in CEIC and is reported by Central Bank of Brazil. The data is categorized under Brazil Premium Database’s Inflation – Table BR.IB010: Consumer Price Index: Broad Category - IPCA: Inflation Surprise.

  13. Colombia: annual CPI change June 2025, by category

    • statista.com
    Updated Nov 28, 2025
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    Statista (2025). Colombia: annual CPI change June 2025, by category [Dataset]. https://www.statista.com/statistics/1296132/annual-inflation-rate-by-category-colombia/
    Explore at:
    Dataset updated
    Nov 28, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jun 2025
    Area covered
    Colombia
    Description

    The Consumer Price Index gauges the price changes in a basket of goods and services in a defined time period. It can be noticed that in June 2025, restaurants and hotels was the category that experienced the second largest increase compared to the same month of the previous year, with 7.44 percent. Only behind education with a 7.56 percent increase.

  14. Categories Canadians are most concerned about with food inflation 2019

    • statista.com
    Updated Dec 15, 2019
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    Statista (2019). Categories Canadians are most concerned about with food inflation 2019 [Dataset]. https://www.statista.com/statistics/1084752/food-inflation-most-worrying-categories-canada/
    Explore at:
    Dataset updated
    Dec 15, 2019
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Dec 2019
    Area covered
    Canada
    Description

    According to a survey carried out in Canada in December 2019, some 69 percent of respondents were worried about the rising prices of vegetables due to inflation. In comparison, only one quarter of Canadian respondents were worried about the rising costs of restaurants.

  15. d

    Replication Data for: Top-Category Inflation in Ordered International...

    • dataone.org
    Updated Sep 25, 2024
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    Bagozzi, Benjamin; Joo, Minnie; Mukherjee, Bumba (2024). Replication Data for: Top-Category Inflation in Ordered International Relations Outcomes [Dataset]. http://doi.org/10.7910/DVN/AIDEVP
    Explore at:
    Dataset updated
    Sep 25, 2024
    Dataset provided by
    Harvard Dataverse
    Authors
    Bagozzi, Benjamin; Joo, Minnie; Mukherjee, Bumba
    Description

    These files provide the materials needed to replicate the tables and figures in the main text and supplemental appendix for "Top-Category Inflation in Ordered International Relations Outcomes," conditionally accepted Foreign Policy Analysis.

  16. CPI in Morocco 2024, by category

    • statista.com
    Updated Jul 22, 2025
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    Statista (2025). CPI in Morocco 2024, by category [Dataset]. https://www.statista.com/statistics/1305995/cpi-in-morocco-by-category/
    Explore at:
    Dataset updated
    Jul 22, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Dec 2024
    Area covered
    Morocco
    Description

    In December 2024, the consumer price index (CPI) of alcoholic beverages and tobacco in Morocco amounted to ***** points, with 2017 as the base year (****). This was the highest increase in consumer prices registered among the categories of products and services. To follow, the food and non-alcoholic beverage prices recorded a CPI of ***** points, while the education sector stood at ***** index points.

  17. I

    India IESH: RBI: Inflation Expectations: Other Categories: One Year Ahead:...

    • ceicdata.com
    Updated Aug 11, 2021
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    CEICdata.com (2021). India IESH: RBI: Inflation Expectations: Other Categories: One Year Ahead: Mean [Dataset]. https://www.ceicdata.com/en/india/inflation-expectations-survey-of-households-iesh-reserve-bank-of-india-inflation-expectations-by-occupation/iesh-rbi-inflation-expectations-other-categories-one-year-ahead-mean
    Explore at:
    Dataset updated
    Aug 11, 2021
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Nov 1, 2016 - Sep 1, 2018
    Area covered
    India
    Description

    India IESH: RBI: Inflation Expectations: Other Categories: One Year Ahead: Mean data was reported at 9.100 % in Sep 2018. This records a decrease from the previous number of 9.400 % for Jun 2018. India IESH: RBI: Inflation Expectations: Other Categories: One Year Ahead: Mean data is updated monthly, averaging 10.900 % from Sep 2008 (Median) to Sep 2018, with 45 observations. The data reached an all-time high of 13.400 % in Dec 2010 and a record low of 6.300 % in Jun 2009. India IESH: RBI: Inflation Expectations: Other Categories: One Year Ahead: Mean data remains active status in CEIC and is reported by Reserve Bank of India. The data is categorized under India Premium Database’s Business and Economic Survey – Table IN.SC003: Inflation Expectations Survey of Households (IESH): Reserve Bank of India: Inflation Expectations: by Occupation.

  18. N

    Median Household Income by Racial Categories in Savannah, GA (, in 2023...

    • neilsberg.com
    csv, json
    Updated Mar 1, 2025
    + more versions
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    Neilsberg Research (2025). Median Household Income by Racial Categories in Savannah, GA (, in 2023 inflation-adjusted dollars) [Dataset]. https://www.neilsberg.com/research/datasets/e0bfdc13-f665-11ef-a994-3860777c1fe6/
    Explore at:
    json, csvAvailable 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
    Georgia, Savannah
    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 Savannah. 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 Savannah population by race & ethnicity, the population is predominantly Black or African American. This particular racial category constitutes the majority, accounting for 52.17% of the total residents in Savannah. Notably, the median household income for Black or African American households is $45,092. 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 $72,945. This reveals that, while Black or African Americans may be the most numerous in Savannah, 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 Savannah.
    • 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 Savannah median household income by race. You can refer the same here

  19. Annual inflation rate South Korea 1986-2024, by category

    • statista.com
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    Statista, Annual inflation rate South Korea 1986-2024, by category [Dataset]. https://www.statista.com/statistics/1300960/south-korea-yoy-inflation-rate-by-item/
    Explore at:
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    South Korea
    Description

    In 2024, consumer prices in South Korea increased by 2.3 percent compared to the previous year. Agricultural and marine products experienced the highest price increase at about 5.9 percent.

  20. N

    Median Household Income by Racial Categories in Westfield, IN (2021, in 2022...

    • neilsberg.com
    csv, json
    Updated Jan 3, 2024
    + more versions
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    Neilsberg Research (2024). Median Household Income by Racial Categories in Westfield, IN (2021, in 2022 inflation-adjusted dollars) [Dataset]. https://www.neilsberg.com/research/datasets/36aa85f9-8904-11ee-9302-3860777c1fe6/
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Jan 3, 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
    Westfield
    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) 2017-2021 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 Westfield. 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 Westfield population by race & ethnicity, the population is predominantly White. This particular racial category constitutes the majority, accounting for 86.74% of the total residents in Westfield. Notably, the median household income for White households is $114,019. Interestingly, despite the White population being the most populous, it is worth noting that Black or African American households actually reports the highest median household income, with a median income of $203,090. This reveals that, while Whites may be the most numerous in Westfield, Black or African American households experience greater economic prosperity in terms of median household income.

    https://i.neilsberg.com/ch/westfield-in-median-household-income-by-race.jpeg" alt="Westfield median household income diversity across racial categories">

    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 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 Westfield.
    • Median household income: Median household income, adjusting for inflation, presented in 2022-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 Westfield median household income by race. You can refer the same here

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Statista (2025). Categories that contributed most to inflation Japan 2024 [Dataset]. https://www.statista.com/statistics/1415705/japan-contribution-annual-change-consumer-price-index-by-category/
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Categories that contributed most to inflation Japan 2024

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Dataset updated
Nov 29, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
2024
Area covered
Japan
Description

In 2024, food items were the category that contributed most to the year-on-year change of the Consumer Price Index (CPI) of all items in Japan, with a contribution of ****. Culture and recreation followed with a contribution ****. The total contribution of all items is equal to the rate of change of the CPI, which was *** percent in 2024. The CPI of all items rose to ***** index points.

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