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.

Comprehensive database of time series covering measures of inflation data for the UK including CPIH, CPI and RPI.

Consumer Price Index CPI in the United States increased to 323.05 points in July from 322.56 points in June of 2025. This dataset provides the latest reported value for - United States Consumer Price Index (CPI) - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Producer Price Indices (PPIs) are a series of economic indicators that measure the price movement of goods bought and sold by UK manufacturers.

This dataset contains the monthly historical data of the S&P 500 index from January 1901 to May 2025, collected from Investing.com. The S&P 500 is a stock market index that tracks the performance of 500 large companies listed on stock exchanges in the United States.

It is widely used as a benchmark for the U.S. equity market, representing over 80% of the total market capitalization. This dataset is suitable for:

• Time-series forecasting
• Economic event impact analysis (e.g., wars, recessions, pandemics)
• Financial visualizations in Tableau or Power BI
• Quantitative finance and portfolio management research

Column Descriptions

Potential Use Cases:

• Visualizing market impact of wars, financial crises, and pandemics
• Analyzing long-term trends in the U.S. equity market
• Forecasting future index levels using machine learning
• Annotating economic history alongside market movements

Citation:

Data source: Investing.com

Time series data for the statistic Consumer Price Index, All items, Percentage change, Previous period and country Dominica. Indicator Definition:Consumer Price Index, All items, Percentage change, Previous periodThe indicator "Consumer Price Index, All items, Percentage change, Previous period" stands at 0.0082 as of 1/31/2025. Regarding the One-Year-Change of the series, the current value constitutes an increase of 0.185 compared to the value the year prior.The Serie's long term average value is 0.143. It's latest available value, on 1/31/2025, is -0.135 lower, compared to it's long term average value.The Serie's change from it's minimum value, on 12/31/2017, to it's latest available value, on 1/31/2025, is +4.04 .The Serie's change from it's maximum value, on 7/31/2003, to it's latest available value, on 1/31/2025, is -2.56 .

Time series data for the statistic Consumer Price Index, All items, Percentage change, Previous period and country Suriname. Indicator Definition:Consumer Price Index, All items, Percentage change, Previous periodThe indicator "Consumer Price Index, All items, Percentage change, Previous period" stands at 0.4639 as of 2/28/2025. Regarding the One-Year-Change of the series, the current value constitutes an increase of 0.0853 compared to the value the year prior.The Serie's long term average value is 1.41. It's latest available value, on 2/28/2025, is -0.949 lower, compared to it's long term average value.The Serie's change from it's minimum value, on 11/30/2008, to it's latest available value, on 2/28/2025, is +3.64 .The Serie's change from it's maximum value, on 11/30/2015, to it's latest available value, on 2/28/2025, is -15.12 .

The FAOSTAT monthly Food CPI and General CPI database was based on the ILO CPI data until December 2014. In 2014, IMF-ILO-FAO agreed to transfer global CPI data compilation from ILO to IMF. Upon agreement, CPIs for all items and its sub components originates from the International Monetary Fund (IMF), and the UN Statistics Division(UNSD) for countries not covered by the IMF. However, due to a limited time coverage from IMF and UNSD for a number of countries, the Organisation for Economic Co-operation and Development (OECD), Central Bank of Western African States (BCEAO), Eastern Caribbean Central Bank (ECCB), UNdata, United Nations Conference on Trade and Development (UNCTAD) and national statistical office website data are used for missing historical data from IMF and UNSD food CPI.

The FAO CPI dataset for all items(or general CPI) and the Food CPI, consists of a complete and consistent set of time series from January 2000 onwards. Data gaps on monthly Food CPI and General CPI are filled using statistical estimation procedures to have full data coverage for all countries for Food CPI and for General CPI. These indices measure the price change between the current and reference periods of the average basket of goods and services purchased by households. The General CPI is typically used to measure and monitor inflation, set monetary policy targets, index social benefits such as pensions and unemployment benefits, and to escalate thresholds and credits in the income tax systems and wages in public and private wage contracts. The FAOSTAT monthly Food CPI inflation rates are annual year-over-year inflation or percentage change over corresponding month of the previous year.

The data included in Data360 is a subset of the data available from the source. Please refer to the source for complete data and methodology details.

This collection includes only a subset of indicators from the source dataset.

Consumer price index, data set includes not only measures but also changes from the previous month, Monthly time series from January 2001, Part of the index values in April 2020 are based on mainly or completely imputed prices

Analysis of ‘Home Price Index’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/PythonforSASUsers/hpindex on 12 November 2021.

--- Dataset description provided by original source is as follows ---

Context

The Federal Housing Finance Agency House Price Index (HPI) is a broad measure of the movement of single-family house prices. The HPI is a weighted, repeat-sales index, meaning that it measures average price changes in repeat sales or refinancings on the same properties. The technical methodology for devising the index, collection, and publishing the data is at: http://www.fhfa.gov/PolicyProgramsResearch/Research/PaperDocuments/1996-03_HPI_TechDescription_N508.pdf

Content

Contains monthly and quarterly time series from January 1991 to August 2016 for the U.S., state, and MSA categories. Analysis variables are the aggregate non-seasonally adjusted value and seasonally adjusted index values. The index value is 100 beginning January 1991.

Acknowledgements

This data is found on Data.gov

Inspiration

Can this data be combined with the corresponding census growth projections either at the state or MSA level to forecast 24 months out the highest and lowest home index values?

--- Original source retains full ownership of the source dataset ---

Dataset Overview

This dataset provides historical housing price indices for the United States, covering a span of 20 years from January 2000 onwards. The data includes housing price trends at the national level, as well as for major metropolitan areas such as San Francisco, Los Angeles, New York, and more. It is ideal for understanding how housing prices have evolved over time and exploring regional differences in the housing market.

Why This Dataset?

The U.S. housing market has experienced significant shifts over the last two decades, influenced by economic booms, recessions, and post-pandemic recovery. This dataset allows data enthusiasts, economists, and real estate professionals to analyze long-term trends, make forecasts, and derive insights into regional housing markets.

What’s Included?

Time Period: January 2000 to the latest available data (specific end date depends on the dataset). Frequency: Monthly data. Regions Covered: 20+ U.S. cities, states, and aggregates.

Columns Description

Each column represents the housing price index for a specific region or aggregate, starting with a date column:

Date: Represents the date of the housing price index measurement, recorded with a monthly frequency. U.S. National: The national-level housing price index for the United States. 20-City Composite: The aggregate housing price index for the top 20 metropolitan areas in the U.S. CA-San Francisco: The housing price index for San Francisco, California. CA-Los Angeles: The housing price index for Los Angeles, California. WA-Seattle: The housing price index for Seattle, Washington. NY-New York: The housing price index for New York City, New York. Additional Columns: The dataset includes more columns with housing price indices for various U.S. cities, which can be viewed in the full dataset preview.

Potential Use Cases

Time-Series Analysis: Investigate long-term trends and patterns in housing prices. Forecasting: Build predictive models to forecast future housing prices using historical data. Regional Comparisons: Analyze how housing prices have grown in different cities over time. Economic Insights: Correlate housing prices with economic factors like interest rates, GDP, and inflation.

Who Can Use This Dataset?

This dataset is perfect for:

Data scientists and machine learning practitioners looking to build forecasting models. Economists and policymakers analyzing housing market dynamics. Real estate investors and analysts studying regional trends in housing prices.

Example Questions to Explore

Which cities have experienced the highest housing price growth over the last 20 years? How do housing price trends in coastal cities (e.g., Los Angeles, Miami) compare to midwestern cities (e.g., Chicago, Detroit)? Can we predict future housing prices using time-series models like ARIMA or Prophet?

Consumer Price Index CPI in India increased to 196 points in July from 194.20 points in June of 2025. This dataset provides - India Consumer Price Index (CPI) - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Time series data for the statistic Consumer Price Index, All items and country Seychelles. Indicator Definition:Consumer Price Index, All itemsThe indicator "Consumer Price Index, All items" stands at 126.88 as of 5/31/2025. Regarding the One-Year-Change of the series, the current value constitutes an increase of 0.4036 percent compared to the value the year prior.The 1 year change in percent is 0.4036.The 3 year change in percent is -0.063.The 5 year change in percent is 13.62.The 10 year change in percent is 22.25.The Serie's long term average value is 101.90. It's latest available value, on 5/31/2025, is 24.52 percent higher, compared to it's long term average value.The Serie's change in percent from it's minimum value, on 1/31/2007, to it's latest available value, on 5/31/2025, is +173.37%.The Serie's change in percent from it's maximum value, on 10/31/2022, to it's latest available value, on 5/31/2025, is -1.68%.

Annual indexes for major components and special aggregates of the Consumer Price Index (CPI), for Canada, provinces, Whitehorse, Yellowknife and Iqaluit. Data are presented for the last five years. The base year for the index is 2002=100.

Iran Inflation Data and Consumer Price Index (1936-2022)

  Dataset Overview

This dataset provides a detailed historical time series of key economic indicators for Iran, spanning from 1315 to 1401 (1936 to 2022). It includes the Consumer Price Index (CPI) and the annual inflation rate, offering a foundational resource for a wide range of macroeconomic and historical studies.

  Data Source

The raw data was collected from the Statistical Center of Iran… See the full description on the dataset page: https://huggingface.co/datasets/Farmaanaa/iran_inflation_and_cpi_1936_2022.

Inflation Rate in the United States remained unchanged at 2.70 percent in July. This dataset provides - United States Inflation Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Quarterly estimates monitoring the changes in prices charged for services provided to UK-based customers for a range of industries.

Description The Import/Export Price Index (End Use) for Nonmonetary Gold refers to a measure used to track changes in the prices of imported nonmonetary gold. Nonmonetary gold refers to gold that is not used as a medium of exchange or currency but rather for purposes such as jewelry, industrial applications, or investment.

The Import/Export Price Index tracks the changes in the prices paid for goods and services purchased/exported from other countries.

By focusing specifically on nonmonetary gold, this index provides insights into the cost fluctuations of imported/Exported gold for various end uses, such as jewelry making, industrial processes, or investment purposes.

Monitoring the Gold Price Index for Nonmonetary Gold can be useful for businesses, investors, policymakers, and economists to understand trends in the international gold market, gauge inflationary pressures, and make informed decisions related to trade, investment, and monetary policy.

Files IQ12260.csv --> Export Price Index IR14270.csv --> Import Price Index

Citation U.S. Bureau of Labor Statistics, Import Price Index (End Use): Nonmonetary Gold [IR14270], retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/series/IR14270, February 29, 2024.

U.S. Bureau of Labor Statistics, Export Price Index (End Use): Nonmonetary Gold [IQ12260], retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/series/IQ12260, February 29, 2024.

Consumer price index and sub-indices, data set includes measures as well as changes to the previous month, monthly time series as of January 2016; Some of the index values in April 2020 are based on mainly or fully imputed prices.