This dataset provides comprehensive historical consumer price index (CPI) data for more than 60 countries, spanning monthly and annual time series. The CPI measures the overall change in the prices of goods and services purchased by households, making it a key macroeconomic indicator for assessing inflation and purchasing power over time. The dataset includes long series that extend back to the mid-19th century for some countries, with an average length of over 60 years for monthly series. The data is widely used as a deflator for other economic series, such as real effective exchange rates and real residential property prices.

Key Features

• Global Coverage: CPI data for over 60 countries.
• Long Time Series: Annual series dating back to the mid-19th century and monthly series averaging over 60 years in length.
• Deflation Tool: Commonly used as a deflator for other economic indicators.
• Inflation Measurement: Essential for tracking inflation and assessing purchasing power.
• Historical Context: Provides insights into economic trends over extended periods.

Consumer Price Index in Japan

The Consumer Price Index (CPI) measures the monthly change in prices paid by consumers.
The CPI is one of the most popular measures of inflation and deflation. The CPI report uses a different survey methodology, price samples, and index weights.

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Files

This dataset include 4 type of data of the CPI:
1. Middle level classification index
(2022_Japan_CPI_middleLevelClassificationIndex.csv)

1. Composite index excluding imputed rent
   (2022_Japan_CPI_compositeIndexExcludingImputedRent.csv)

2. Price index by item
   (2022_Japan_CPI_priceIndexByItems.csv)

3. Goods and service classification index
   (2022_Japan_CPI_GoodsAndServiceClassificationIndex.csv)

Base year is 2020.

Data source

Japanese Government Statistics Portal

Price quote data (for locally collected data only) and consumption segment indices that underpin consumer price inflation statistics, giving users access to the detailed data that are used in the construction of the UK’s inflation figures. The data are being made available for research purposes only and are not an accredited official statistic. From October 2024, private school fees and part-time education classes have been included in the consumption segment indices file. For more information on the introduction of consumption segments, please see the Consumer Prices Indices Technical Manual, 2019. Note that this dataset was previously called the consumer price inflation item indices and price quotes dataset.

Case Shiller Home Price Index in the United States decreased to 338.25 points in September from 339.99 points in August of 2025. This dataset provides the latest reported value for - United States S&P Case-Shiller Home Price Index - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Graph and download economic data for Consumer Price Index in the United Kingdom (CPIUKA) from 1209 to 2016 about academic data, United Kingdom, consumer, CPI, price index, indexes, and price.

Explore the change of Consumer Price Index (CPI) inflation month-to-month dataset, providing valuable insights into economic trends in industrial production, industry, and industrial products. Discover how CPI fluctuations impact these sectors.

industrial production, Industry, Industrial products

Saudi Arabia, United States, Chinahttps://data.kapsarc.org for timely data to advance Economy research.

China Consumer Price Index (CPI): MoM data was reported at 99.600 Prev Mth=100 in Mar 2025. This records a decrease from the previous number of 99.800 Prev Mth=100 for Feb 2025. China Consumer Price Index (CPI): MoM data is updated monthly, averaging 100.100 Prev Mth=100 from Jan 1995 (Median) to Mar 2025, with 363 observations. The data reached an all-time high of 103.700 Prev Mth=100 in Jan 1995 and a record low of 98.200 Prev Mth=100 in Jun 1999. China Consumer Price Index (CPI): MoM data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Inflation – Table CN.IA: Consumer Price Index: Previous Month=100.

Nigeria Consumer Price Index (CPI): Seasonally Adjusted data was reported at 725.798 2010=100 in 2024. This records an increase from the previous number of 551.728 2010=100 for 2023. Nigeria Consumer Price Index (CPI): Seasonally Adjusted data is updated yearly, averaging 67.174 2010=100 from Dec 1987 (Median) to 2024, with 38 observations. The data reached an all-time high of 725.798 2010=100 in 2024 and a record low of 1.192 2010=100 in 1987. Nigeria Consumer Price Index (CPI): Seasonally Adjusted data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Nigeria – Table NG.World Bank.GEM: Consumer Price Index: Annual. The consumer price index reflects the change in prices for the average consumer of a constant basket of consumer goods. Data is in nominal terms and seasonally adjusted.

The Consumer Price Index (CPI) for food is a component of the all-items CPI. The CPI measures the average change over time in the prices paid by urban consumers for a representative market basket of consumer goods and services. While the all-items CPI measures the price changes for all consumer goods and services, including food, the CPI for food measures the changes in the retail prices of food items only.This record was taken from the USDA Enterprise Data Inventory that feeds into the https://data.gov catalog. Data for this record includes the following resources: Web page with links to Excel files For complete information, please visit https://data.gov.

This dataset provides values for PRODUCER PRICES reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

Context

I'm creating a new website (centralbankanalytics.com) in which I need this type of data. I didn't found it easily available as I had to scrape it from an interactive graph, so now I upload it here for everyone.

Content

The Consumer Price Index (CPI) is a measure of the average change over time in the prices paid by urban consumers for a market basket of consumer goods and services. Indexes are available for the U.S. and various geographic areas.

Core PCE Price Index in the United States increased to 126.71 points in August from 126.42 points in July of 2025. This dataset provides - United States Core Pce Price Index - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Short-term business statistics (STS) give information on a wide range of economic activities. All STS data are index data. Additionally, annual absolute values are released for building permits indicators. Percentage changes are also available for each indicator: Infra-annual percentage changes - changes between two consecutive months or quarters - are calculated on the basis of non-adjusted data (prices) or calendar and seasonally adjusted data (volume and value indicators) and year-on-year changes - comparing a period to the same period one year ago - are calculated on the basis of non-adjusted data (prices and employment) or calendar adjusted data (volume and value indicators).

The index data are generally presented in the following forms:

• unadjusted
• calendar adjusted
• calendar and seasonally adjusted.

Depending on the EBS Regulation data are accessible as monthly, quarterly and annual data.

The STS indicators are listed below in five different sectors, reflecting the dissemination of these data in Eurostat’s online database “Eurobase”.

Based on the national data, Eurostat compiles short-term indicators for the EU and euro area. Among these, a list of indicators, called Principal European Economic Indicators (PEEIs) has been identified by key users as being of primary importance for the conduct of monetary and economic policy of the euro area. The PEEIs contributed by STS are marked with * in the text below.

The euro indicators are released through Eurostat's website.

INDUSTRY

• production (volume)*
• turnover: Total, Domestic market and Non-domestic market. A further breakdown of the non-domestic turnover into euro area and non-euro area is available for the euro area countries.
• producer prices (output prices)*: Total, Domestic market and Non-domestic market. A further breakdown of the non-domestic producer prices into euro area and non-euro area is available for the euro area countries.
• import prices*: Total, euro area market, Non euro area market (euro area countries only)
• labour input indicators: Number of employees and self-employed persons, Hours worked by employees, Gross wages and salaries

CONSTRUCTION

• production (volume)*
• building permits indicators*: number of dwellings, square meters of useful floor
• producer (output) prices in construction (if not available, they can be approximated by the construction costs variable)
• labour input indicators: number of employees and self-employed persons, hours worked by employees, gross wages and salaries

TRADE

• volume of sales (deflated turnover)*
• turnover (value)
• labour input indicators: number of employees and self-employed persons, hours worked by employees, gross wages and salaries

SERVICES

• production (volume)*
• turnover (in value)
• labour input indicators: number of employees and self-employed persons, hours worked by employees, gross wages and salaries
• producer prices (output prices)*

MARKET ECONOMY

• total market production (volume)
• registrations
• bankruptcies

National reference metadata of the reporting countries are available in the Annexes to this metadata file.

Context

Consumer Price Indices (CPI) measure changes over time in general level of prices of goods and services that households acquire for the purpose of consumption. CPI numbers are widely used as a macroeconomic indicator of inflation, as a tool by governments and central banks for inflation targeting and for monitoring price stability, and as deflators in the national accounts. CPI is also used for indexing dearness allowance to employees for increase in prices. CPI is therefore considered as one of the most important economic indicators. For construction of CPI numbers, two requisite components are weighting diagrams (consumption patterns) and price data collected at regular intervals.

Content

The data refers to group wise all India Consumer Price Index for Rural & Urban with base year 2010.

Acknowledgements

• The dataset is published by Central Statistical Office.
• This data is sourced from India's Goverment's Open Data website: data.gov.in
• Released Under: National Data Sharing and Accessibility Policy (NDSAP)

Inspiration

This can be used for various purposes including tasks such as exploring growth/inflation in India over the time.

Selection possibilities: Index numbers, developments month-to-month and year-to-year for (sub)sections and division according to the Standard Business Classification distinguished to domestic output prices, non-domestic output prices and total output prices.

Data available from January 1981 up to and including December 2017

Status of the figures: The data for August 2017 up to and including December 2017 and the 2017 annual rate are provisional. Since this table has been stopped, the data is no longer made definitive.

Changes as of March 19th 2018 None, this table is stopped.

When will new figures be published? The results in this series are based on 2010=100. Due to the base shift this table is stopped. Figures based on 2015=100 are published in table Producer Price Index; output prices by economic activity SIC 2008, 2015=100. Further information, see Base Year Revision Industrial Producer Price Index, 2015=100 in paragraph 3.

Consumer Price Index CPI in Sierra Leone decreased to 245.10 points in October from 246.40 points in September of 2025. This dataset provides - Sierra Leone Consumer Price Index Cpi- actual values, historical data, forecast, chart, statistics, economic calendar and news.

Summary of UK House Price Index (HPI) price statistics covering England, Scotland, Wales and Northern Ireland. Full UK HPI data are available on GOV.UK.

U.S. Economic and Financial Dataset

Dataset Description

This dataset combines historical U.S. economic and financial indicators, spanning the last 50 years, to facilitate time series analysis and uncover patterns in macroeconomic trends. It is designed for exploring relationships between interest rates, inflation, economic growth, stock market performance, and industrial production.

Key Features

• Frequency: Monthly
• Time Period: Last 50 years from Nov-24
• Sources:
  • Federal Reserve Economic Data (FRED)
  • Yahoo Finance

Dataset Feature Description

1. Interest Rate (Interest_Rate):

   • The effective federal funds rate, representing the interest rate at which depository institutions trade federal funds overnight.

2. Inflation (Inflation):

   • The Consumer Price Index for All Urban Consumers, an indicator of inflation trends.

3. GDP (GDP):

   • Real GDP measures the inflation-adjusted value of goods and services produced in the U.S.

4. Unemployment Rate (Unemployment):

   • The percentage of the labor force that is unemployed and actively seeking work.

5. Stock Market Performance (S&P500):

   • Monthly average of the adjusted close price, representing stock market trends.

6. Industrial Production (Ind_Prod):

   • A measure of real output in the industrial sector, including manufacturing, mining, and utilities.

Dataset Statistics

1. Total Entries: 599
2. Columns: 6
3. Memory usage: 37.54 kB
4. Data types: float64

Feature Overview

• Columns:
  • Interest_Rate: Monthly Federal Funds Rate (%)
  • Inflation: CPI (All Urban Consumers, Index)
  • GDP: Real GDP (Billions of Chained 2012 Dollars)
  • Unemployment: Unemployment Rate (%)
  • Ind_Prod: Industrial Production Index (2017=100)
  • S&P500: Monthly Average of S&P 500 Adjusted Close Prices

Executive Summary

This project explores the interconnected dynamics of key macroeconomic indicators and financial market trends over the past 50 years, leveraging data from the Federal Reserve Economic Data (FRED) and Yahoo Finance. The dataset integrates critical variables such as the Federal Funds Rate, Inflation (CPI), Real GDP, Unemployment Rate, Industrial Production, and the S&P 500 Index, providing a holistic view of the U.S. economy and financial markets.

The analysis focuses on uncovering relationships between these variables through time-series visualization, correlation analysis, and trend decomposition. Key findings are included in the Insights section. This project serves as a robust resource for understanding long-term economic trends, policy impacts, and market behavior. It is particularly valuable for students, researchers, policymakers, and financial analysts seeking to connect macroeconomic theory with real-world data.

Potential Use Cases

• Economic Analysis: Examine relationships between interest rates, inflation, GDP, and unemployment.
• Stock Market Prediction: Study how macroeconomic indicators influence stock market trends.
• Time Series Modeling: Perform ARIMA, VAR, or other models to forecast economic trends.
• Cyclic Pattern Analysis: Identify how economic shocks and recoveries impact key indicators.

Snap of Power Analysis

https://github.com/user-attachments/assets/1b40e0ca-7d2e-4fbc-8cfd-df3f09e4fdb8">

To ensure sufficient power, the dataset covers last 50 years of monthly data i.e., around 600 entries.

Key Insights derived through EDA, time-series visualization, correlation analysis, and trend decomposition

• Interest Rate and Inflation Dynamics: The interest Rate and inflation exhibit an inverse relationship, especially during periods of aggressive monetary tightening by the Federal Reserve.
• Economic Growth and Market Performance: GDP growth and the S&P 500 Index show a positive correlation, reflecting how market performance often aligns with overall economic health.
• Labor Market and Industrial Output: Unemployment and industrial production demonstrate a strong inverse relationship. Higher industrial output is typically associated with lower unemployment
• Market Behavior During Economic Shocks: The S&P 500 experienced sharp declines during significant crises, such as the 2008 financial crash and the COVID-19 pandemic in 2020. These events also triggered increased unemployment and contractions in GDP, highlighting the interplay between markets and the broader economy.
• Correlation Highlights: S&P 500 and GDP have a strong positive correlation. Interest rates negatively correlate with GDP and inflation, reflecting monetary policy impacts. Unemployment is negatively correlated with industrial production but positively correlated with interest rates.

Link to GitHub Repo

https:/...

This dataset provides values for CONSUMER PRICE INDEX CPI reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

Context

CPI measures changes in the price level of a weighted average market basket of consumer goods and services purchased by households. Difference in CPI over time can be used as a measure of inflation. CPI can therefore be used to adjust real values to account for the effect of inflation.

Content

USACPIALLMINMEI.csv - time series represnting CPI sampled monthly spanning from January 1960 to November 2019.

Acknowledgements

Data was downloaded from Federal Reserve Economic Data (FRED) website.

Inspiration

Useful dataset for analyzing economic data.