Graph and download economic data for Inflation, consumer prices for the World (FPCPITOTLZGWLD) from 1981 to 2024 about World, consumer, CPI, inflation, price index, indexes, and price.

Graph and download economic data for Inflation, consumer prices for the United Kingdom (FPCPITOTLZGGBR) from 1960 to 2024 about United Kingdom, consumer, CPI, inflation, price index, indexes, and price.

Overview

This dataset provides a comprehensive collection of time series data sourced from the World Bank Open Data Platform, covering a wide range of global indicators from 1960 to the most recently published year. It includes economic, social, environmental, and demographic metrics, making it an ideal resource for researchers, data scientists, and policymakers interested in global development trends, economic forecasting, or socio-economic analysis.

A tutorial on how to combined the dataset topics together into one large dataset can be found here

Why this Dataset?

My motivation for this project was to curate a high-quality collection of datasets for World Bank indicators organized by topics and structured in time-series, making them more accessible for data science projects. Since the World Bank’s Kaggle datasets have not been updated since 2019 https://www.kaggle.com/organizations/theworldbank, I saw an opportunity to provide more current data for the data analysis community.

Dataset Collection Contents

This collection brings together more than 800 World Bank indicators organized into 18 topic‑specific CSV files. Each file is structured as a country‑year panel: every row represents a unique combination of year (1960‑present) and ISO‑3 country code, while the columns hold the topic’s indicators.

The collection includes datasets with a variety of indicators, such as: - Economic Metrics: GDP growth (%), GDP per capita, consumer price inflation, merchandise trade, gross capital formation, and more.
- Social Metrics: School enrollment (primary, secondary, tertiary), infant mortality rate, maternal mortality rate, poverty headcount, and more.
- Environmental Metrics: Forest area, renewable energy consumption, food production indices, and more.
- Demographic Metrics: Urban population, life expectancy, net migration, and more.

Usage

This dataset is ideal for a variety of applications, including: - Economic forecasting and trend analysis (e.g., GDP growth, inflation).
- Socio-economic studies (e.g., education, health, poverty).
- Environmental impact analysis (e.g., renewable energy adoption).
- Demographic research (e.g., population trends, migration).

Topic datasets can be merged with each other using year and country code. This tutorial with notebook code can help you get started quickly.

Collection Methodology

The data is collected via a custom software application that discovers and groups high-quality indicators with rules-based logic & artificial intelligence, generates metadata, and performs ETL for the data from the World Bank API. The result is a clean, up‑to‑date collection of World Bank indicators in time-series format that is ready for analysis—no manual downloads or data wrangling required.

Modifications

The original World Bank data has been aggregated and transformed for ease of use. Missing values have been preserved as provided by the World Bank, and no significant transformations have been applied beyond formatting and aggregation into a single file.

Source & Attribution

The World Bank: World Development Indicators

This dataset is publicly available and sourced from the World Bank Open Data Platform and is made available under the Creative Commons Attribution 4.0 International (CC BY 4.0) license. When using this data, please attribute the World Bank as follows: "Data sourced from the World Bank, licensed under CC BY 4.0." For more details on the World Bank’s terms of use, visit: https://www.worldbank.org/en/about/legal/terms-of-use-for-datasets.

License

This dataset is licensed under the Creative Commons Attribution 4.0 International (CC BY 4.0) license.

Feel free to use this data in Kaggle notebooks, academic research, or policy analysis. If you create a derived dataset or analysis, I encourage you to share it with the Kaggle community.

In September 2025, global inflation rates and central bank interest rates showed significant variation across major economies. Most economies initiated interest rate cuts from mid-2024 due to declining inflationary pressures. The U.S., UK, and EU central banks followed a consistent pattern of regular rate reductions throughout late 2024. In September 2025, Russia maintained the highest interest rate at 17 percent, while Japan retained the lowest at 0.5 percent. Varied inflation rates across major economies The inflation landscape varies considerably among major economies. China had the lowest inflation rate at -0.3 percent in September 2025. In contrast, Russia maintained a high inflation rate of 8 percent. These figures align with broader trends observed in early 2025, where China had the lowest inflation rate among major developed and emerging economies, while Russia's rate remained the highest. Central bank responses and economic indicators Central banks globally implemented aggressive rate hikes throughout 2022-23 to combat inflation. The European Central Bank exemplified this trend, raising rates from 0 percent in January 2022 to 4.5 percent by September 2023. A coordinated shift among major central banks began in mid-2024, with the ECB, Bank of England, and Federal Reserve initiating rate cuts, with forecasts suggesting further cuts through 2025 and 2026.

Inflation, consumer prices (annual %) in Brazil was reported at 4.3675 % in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. Brazil - Inflation, consumer prices (annual %) - actual values, historical data, forecasts and projections were sourced from the World Bank on November of 2025.

Graph and download economic data for Inflation, consumer prices for the United States (FPCPITOTLZGUSA) from 1960 to 2024 about consumer, CPI, inflation, price index, indexes, price, and USA.

Inflation, consumer prices (annual %) in Egypt was reported at 28.27 % in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. Egypt - Inflation, consumer prices (annual %) - actual values, historical data, forecasts and projections were sourced from the World Bank on November of 2025.

Pakistan PK: Inflation:(GDP) Gross Domestic ProductDeflator data was reported at 4.001 % in 2017. This records an increase from the previous number of 0.400 % for 2016. Pakistan PK: Inflation:(GDP) Gross Domestic ProductDeflator data is updated yearly, averaging 7.526 % from Dec 1961 (Median) to 2017, with 57 observations. The data reached an all-time high of 25.437 % in 1974 and a record low of -1.312 % in 1963. Pakistan PK: Inflation:(GDP) Gross Domestic ProductDeflator data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Pakistan – Table PK.World Bank.WDI: Inflation. Inflation as measured by the annual growth rate of the GDP implicit deflator shows the rate of price change in the economy as a whole. The GDP implicit deflator is the ratio of GDP in current local currency to GDP in constant local currency.; ; World Bank national accounts data, and OECD National Accounts data files.; Median;

Context

I wanted to build a project on global inflation but decided to work on something else. But I wanted to open-source the data I found.

Content

Each row contains the yearly inflation rate as determined by either author research or the World Bank for the country in question. There are columns tagged for the latest five-year mean of the data, as well as country code and language-specific translations of inflation to be able to localize Google Trends in each country based on a two-letter country code Google accepts (Alpha-2 Country Code).

Acknowledgements

Thank you to Google Trends for capturing this information, and the World Bank for compiling yearly inflation rates.

Inspiration

Is inflation increasing around the world? Can Google Trends predict inflationary pressures in certain countries? Can we infer a Phillips Curve, and determine which countries have which monetary policy objectives?

Inflation, consumer prices (annual %) in Palestine was reported at 53.67 % in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. Palestine - Inflation, consumer prices (annual %) - actual values, historical data, forecasts and projections were sourced from the World Bank on November of 2025.

Turkey TR: Inflation:(GDP) Gross Domestic ProductDeflator data was reported at 10.809 % in 2017. This records an increase from the previous number of 8.098 % for 2016. Turkey TR: Inflation:(GDP) Gross Domestic ProductDeflator data is updated yearly, averaging 21.930 % from Dec 1961 (Median) to 2017, with 57 observations. The data reached an all-time high of 143.693 % in 1998 and a record low of 2.352 % in 1964. Turkey TR: Inflation:(GDP) Gross Domestic ProductDeflator data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Turkey – Table TR.World Bank.WDI: Inflation. Inflation as measured by the annual growth rate of the GDP implicit deflator shows the rate of price change in the economy as a whole. The GDP implicit deflator is the ratio of GDP in current local currency to GDP in constant local currency.; ; World Bank national accounts data, and OECD National Accounts data files.; Median;

Inflation, consumer prices (annual %) in United Arab Emirates was reported at 1.6634 % in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. United Arab Emirates - Inflation, consumer prices (annual %) - actual values, historical data, forecasts and projections were sourced from the World Bank on November of 2025.

Context

Understanding global economic dynamics, specifically the trends in inflation rates, is paramount for policymakers, economists, and researchers. This dataset, covering the years 1980 to 2024, offers a comprehensive perspective on inflation across various countries. The primary focus is on dissecting the data based on country-specific indicators, providing valuable insights into the multifaceted factors influencing economic environments on a global scale.

Content

The dataset comprises crucial columns including country name, indicator type, and annual average inflation rates from 1980 to 2024. This extensive collection of information facilitates detailed analysis and correlation studies, enabling researchers to uncover patterns and trends. By examining the nuanced relationships between country-specific indicators and inflation rates, valuable conclusions can be drawn about the complexities of global economic dynamics over the years. This dataset serves as a valuable resource for anyone seeking to delve into the intricacies of inflation trends and their implications across diverse nations.

Dataset Structure:

This dataset (global_inflation_data.csv) covering from 1980 to 2024 consists of the following columns:

Acknowledgment

The primary dataset was retrieved from the World Bank. I sincerely thank the team for providing the core data used in this dataset.

© Image credit: Freepik

Inflation, consumer prices (annual %) in Bulgaria was reported at 2.4465 % in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. Bulgaria - Inflation, consumer prices (annual %) - actual values, historical data, forecasts and projections were sourced from the World Bank on October of 2025.

Inflation, consumer prices (annual %) in Tanzania was reported at 3.057 % in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. Tanzania - Inflation, consumer prices (annual %) - actual values, historical data, forecasts and projections were sourced from the World Bank on October of 2025.

Burundi BI: Inflation:(GDP) Gross Domestic ProductDeflator data was reported at 11.376 % in 2023. This records a decrease from the previous number of 18.332 % for 2022. Burundi BI: Inflation:(GDP) Gross Domestic ProductDeflator data is updated yearly, averaging 7.953 % from Dec 1961 (Median) to 2023, with 63 observations. The data reached an all-time high of 38.945 % in 2000 and a record low of -6.063 % in 1981. Burundi BI: Inflation:(GDP) Gross Domestic ProductDeflator data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Burundi – Table BI.World Bank.WDI: Inflation. Inflation as measured by the annual growth rate of the GDP implicit deflator shows the rate of price change in the economy as a whole. The GDP implicit deflator is the ratio of GDP in current local currency to GDP in constant local currency.;World Bank national accounts data, and OECD National Accounts data files.;Median;

Inflation, GDP deflator (annual %) in Indonesia was reported at 0.89165 % in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. Indonesia - Inflation, GDP deflator (annual %) - actual values, historical data, forecasts and projections were sourced from the World Bank on November of 2025.

Inflation, consumer prices (annual %) in Oman was reported at 0.59359 % in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. Oman - Inflation, consumer prices (annual %) - actual values, historical data, forecasts and projections were sourced from the World Bank on November of 2025.

View yearly updates and historical trends for US Inflation Rate. from United States. Source: World Bank. Track economic data with YCharts analytics.

Inflation, GDP deflator (annual %) in France was reported at 2.313 % in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. France - Inflation, GDP deflator (annual %) - actual values, historical data, forecasts and projections were sourced from the World Bank on November of 2025.