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.

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.

Description

This Dataset contains details of Consumer Price Index of each country from 2000 to 2023.

Attribute Information

• Country Code : The code of the countries.
• Country : Code of the countries.
• Year : Years in the Data.
• Series : CPI
• Value : CPI Value
• Footnotes : Footnotes
• Source : Data Source

Acknowledgements

https://data.un.org/

Image by Gerd Altmann from Pixabay

This dataset contains a list of Annual Consumer Price Index (CPI) values for countries for the years 1960-2021. It comprises the Country Name, Country Code and the CPI values for several countries.

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

Please be aware that this indicator has been rescaled, i.e. data is expressed in relation to EU27_2020 = 100. Thus, they are not comparable with previous releases. Comparative price levels are the ratio between Purchasing power parities (PPPs) and market exchange rate for each country. PPPs are currency conversion rates that convert economic indicators expressed in national currencies to a common currency, called Purchasing Power Standard (PPS), which equalises the purchasing power of different national currencies and thus allows meaningful comparison. The ratio is shown in relation to the EU average (EU27_2020 = 100). If the index of the comparative price levels shown for a country is higher/ lower than 100, the country concerned is relatively expensive/cheap as compared with the EU average.

Africa Price Level Ratio of Ppp Conversion Factor Gdp to Market Exchange Rate Dataset

  Overview

This dataset contains price level ratio of ppp conversion factor (gdp) to market exchange rate data for African countries from the World Bank Economy & Growth indicators.

  Data Details

Indicator Code: PA.NUS.PPPC.RF Description: Price level ratio of PPP conversion factor (GDP) to market exchange rate Geographic Coverage: 54 African countries Time Period: 1960-2024… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-price-level-ratio-of-ppp-conversion-factor-gdp-to-market-exchange-rate.

Please be aware that this indicator has been rescaled, i.e. data is expressed in relation to EU27_2020 = 100. Thus, they are not comparable with previous releases. Comparative price levels are the ratio between Purchasing power parities (PPPs) and market exchange rate for each country. PPPs are currency conversion rates that convert economic indicators expressed in national currencies to a common currency, called Purchasing Power Standard (PPS), which equalises the purchasing power of different national currencies and thus allows meaningful comparison. The ratio is shown in relation to the EU average (EU27_2020 = 100). If the index of the comparative price levels shown for a country is higher/ lower than 100, the country concerned is relatively expensive/cheap as compared with the EU average.

Description:

This dataset provides key economic indicators from various countries between 2010 and 2023. The dataset includes monthly data on inflation rates, GDP growth rates, unemployment rates, interest rates, and stock market index values. The data has been sourced from reputable global financial institutions and is suitable for economic analysis, machine learning models, and forecasting economic trends.

Data Sources:

The data has been generated to simulate real-world economic conditions, mimicking information from trusted sources like: - World Bank for GDP growth and inflation data - International Monetary Fund (IMF) for macroeconomic data - OECD for labor market statistics - National Stock Exchanges for stock market index values

Columns:

1. Date: The specific date (in Year/Month/Day format) representing when the data was collected.
2. Country: The country the data pertains to (e.g., USA, Germany, Japan).
3. Inflation Rate (%): The rate of inflation for that country, showing how fast prices for goods and services are increasing.
4. GDP Growth Rate (%): The percentage growth of the country’s Gross Domestic Product (GDP), indicating economic expansion or contraction.
5. Unemployment Rate (%): The percentage of the working-age population that is unemployed.
6. Interest Rate (%): The central bank's interest rate, used to control inflation and influence the economy.
7. Stock Index Value: The value of the country’s main stock market index, reflecting the performance of the stock market.

Potential Uses: - Economic Analysis: Researchers and analysts can use this dataset to study trends in inflation, GDP growth, unemployment, and other economic factors. - Machine Learning: This dataset can be used to train models for predicting economic trends or market performance. Financial Forecasting: Investors and economists can leverage this data for forecasting market movements based on economic conditions. - Comparative Studies: The dataset allows comparisons across countries and regions, offering insights into global economic performance.

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. Average price data for select utility, automotive fuel, and food items are also available. Prices for the goods and services used to calculate the CPI are collected in 75 urban areas throughout the country and from about 23,000 retail and service establishments. Data on rents are collected from about 43,000 landlords or tenants. More information and details about the data provided can be found at http://www.bls.gov/cpi

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

Brazil BR: PPP Conversion Factor: to Market Exchange Rate: Price Level Ratio data was reported at 0.488 Ratio in 2023. This records an increase from the previous number of 0.467 Ratio for 2022. Brazil BR: PPP Conversion Factor: to Market Exchange Rate: Price Level Ratio data is updated yearly, averaging 0.533 Ratio from Dec 1990 (Median) to 2023, with 34 observations. The data reached an all-time high of 0.881 Ratio in 2011 and a record low of 0.297 Ratio in 2002. Brazil BR: PPP Conversion Factor: to Market Exchange Rate: Price Level Ratio data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Brazil – Table BR.World Bank.WDI: Gross Domestic Product: Purchasing Power Parity. Price level ratio is the ratio of a purchasing power parity (PPP) conversion factor to an exchange rate. It provides a measure of the differences in price levels between countries by indicating the number of units of the common currency needed to buy the same volume of the aggregation level in each country. At the level of GDP, they provide a measure of the differences in the general price levels of countries.;International Comparison Program, World Bank | World Development Indicators database, World Bank | Eurostat-OECD PPP Programme.;;

Albania PPP Conversion Factor: to Market Exchange Rate: Price Level Ratio data was reported at 0.403 Ratio in 2023. This records an increase from the previous number of 0.352 Ratio for 2022. Albania PPP Conversion Factor: to Market Exchange Rate: Price Level Ratio data is updated yearly, averaging 0.362 Ratio from Dec 1990 (Median) to 2023, with 34 observations. The data reached an all-time high of 0.531 Ratio in 2008 and a record low of 0.133 Ratio in 1992. Albania PPP Conversion Factor: to Market Exchange Rate: Price Level Ratio data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Albania – Table AL.World Bank.WDI: Gross Domestic Product: Purchasing Power Parity. Price level ratio is the ratio of a purchasing power parity (PPP) conversion factor to an exchange rate. It provides a measure of the differences in price levels between countries by indicating the number of units of the common currency needed to buy the same volume of the aggregation level in each country. At the level of GDP, they provide a measure of the differences in the general price levels of countries.;International Comparison Program, World Bank | World Development Indicators database, World Bank | Eurostat-OECD PPP Programme.;;

Abstract

Food price inflation is an important metric to inform economic policy but traditional sources of consumer prices are often produced with delay during crises and only at an aggregate level. This may poorly reflect the actual price trends in rural or poverty-stricken areas, where large populations reside in fragile situations. This data set includes food price estimates and is intended to help gain insight in price developments beyond what can be formally measured by traditional methods. The estimates are generated using a machine-learning approach that imputes ongoing subnational price surveys, often with accuracy similar to direct measurement of prices. The data set provides new opportunities to investigate local price dynamics in areas where populations are sensitive to localized price shocks and where traditional data are not available.

Geographic coverage notes

The data cover the following areas: Afghanistan, Armenia, Bangladesh, Burkina Faso, Burundi, Cameroon, Central African Republic, Chad, Congo, Dem. Rep., Congo, Rep., Gambia, The, Guinea, Guinea-Bissau, Haiti, Indonesia, Iraq, Kenya, Lao PDR, Lebanon, Liberia, Libya, Malawi, Mali, Mauritania, Mozambique, Myanmar, Niger, Nigeria, Philippines, Senegal, Somalia, South Sudan, Sri Lanka, Sudan, Syrian Arab Republic, Yemen, Rep.

Here 3 DataSet for a complete overview of the economy of the country you are interested in.

Big Mac Index, Inflation forecast and Average Salary

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Big Mac Index

The Big Mac index was invented by The Economist in 1986 as a lighthearted guide to whether currencies are at their “correct” level. It is based on the theory of purchasing-power parity (PPP). By diverting the average national Big Mac prices to U.S. dollars, the same goods can be informally compared. So when the price of a burger is considered, the economic value of all these factors is accounted for. Thus, comparing the prices of similar burgers in two countries reflects a region’s cost of living and affordability. This is the theory behind Burgernomics.

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Inflation forecast

Inflation forecast is measured in terms of the consumer price index (CPI) or harmonised index of consumer prices (HICP) for euro area countries, the euro area aggregate and the United Kingdom. Inflation measures the general evolution of prices. It is defined as the change in the prices of a basket of goods and services that are typically purchased by households. Projections are based on an assessment of the economic climate in individual countries and the world economy, using a combination of model-based analyses and expert judgement. The indicator is expressed in annual growth rates.

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Average Salary (income)

The average salary is calculated based on reported salaries of respondents. The average salary definition is to add the salaries in the sample together, then divide by the number of respondents. The result is the average salary for everyone surveyed.

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.

European Rye and Meslin Price Index by Country, 2022 Discover more data with ReportLinker!

Colombia CO: PPP Conversion Factor: to Market Exchange Rate: Price Level Ratio data was reported at 0.334 Ratio in 2023. This records an increase from the previous number of 0.323 Ratio for 2022. Colombia CO: PPP Conversion Factor: to Market Exchange Rate: Price Level Ratio data is updated yearly, averaging 0.419 Ratio from Dec 1990 (Median) to 2023, with 34 observations. The data reached an all-time high of 0.671 Ratio in 2012 and a record low of 0.312 Ratio in 2003. Colombia CO: PPP Conversion Factor: to Market Exchange Rate: Price Level Ratio data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Colombia – Table CO.World Bank.WDI: Gross Domestic Product: Purchasing Power Parity. Price level ratio is the ratio of a purchasing power parity (PPP) conversion factor to an exchange rate. It provides a measure of the differences in price levels between countries by indicating the number of units of the common currency needed to buy the same volume of the aggregation level in each country. At the level of GDP, they provide a measure of the differences in the general price levels of countries.;International Comparison Program, World Bank | World Development Indicators database, World Bank | Eurostat-OECD PPP Programme.;;

Time series data for the statistic Consumer Price Index, All items and country Belgium. Indicator Definition:Consumer Price Index, All itemsThe indicator "Consumer Price Index, All items" stands at 135.35 as of 8/31/2025. Regarding the One-Year-Change of the series, the current value constitutes an increase of 1.91 percent compared to the value the year prior.The 1 year change in percent is 1.91.The 3 year change in percent is 9.11.The 5 year change in percent is 23.24.The 10 year change in percent is 33.90.The Serie's long term average value is 90.45. It's latest available value, on 8/31/2025, is 49.64 percent higher, compared to it's long term average value.The Serie's change in percent from it's minimum value, on 1/31/1990, to it's latest available value, on 8/31/2025, is +122.94%.The Serie's change in percent from it's maximum value, on 2/28/2025, to it's latest available value, on 8/31/2025, is -0.229%.

Time series data for the statistic Consumer Price Index, All items and country Trinidad and Tobago. Indicator Definition:Consumer Price Index, All itemsThe indicator "Consumer Price Index, All items" stands at 125.70 as of 7/31/2025, the highest value at least since 2/29/2000, the period currently displayed. Regarding the One-Year-Change of the series, the current value constitutes an increase of 1.45 percent compared to the value the year prior.The 1 year change in percent is 1.45.The 3 year change in percent is 6.53.The 5 year change in percent is 15.32.The 10 year change in percent is 23.57.The Serie's long term average value is 82.93. It's latest available value, on 7/31/2025, is 51.57 percent higher, compared to it's long term average value.The Serie's change in percent from it's minimum value, on 3/31/2000, to it's latest available value, on 7/31/2025, is +231.26%.The Serie's change in percent from it's maximum value, on 7/31/2025, to it's latest available value, on 7/31/2025, is 0.0%.