This dataset provides annual GDP data for 196 countries from 2005 to 2025, measured in USD billions. Data is sourced from the International Monetary Fund (IMF).

Coverage: 196 countries + header row Time span: 2005–2024 (reported), 2025 (projected) Notable trends: The data clearly shows the impact of the 2008 global financial crisis and the 2020 COVID-19 pandemic on world economies. Missing values: In some cases, GDP values are unavailable because countries did not report them.

Usability

Trend analysis — Study global and regional GDP growth patterns across two decades.

Forecasting models — Train ARIMA, Prophet, LSTM, or other models to predict future GDP.

Comparative studies — Benchmark economic performance between countries, continents, or economic blocs (e.g., G7, BRICS).

Impact assessment — Analyze the effect of global events such as the 2008 crisis and COVID-19 on GDP.

Correlation research — Combine with other datasets (population, inflation, CO₂ emissions) for cross indicator analysis.

Visualization projects — Build dashboards, choropleth maps, or interactive charts to illustrate global growth.

Educational use — Teach concepts of macroeconomics, time series data, and forecasting in classrooms.

Investment & policy insights — Support macro level decision making, financial market analysis, or policy research.

This dataset provides annual GDP data for all recognized countries from 2015 to 2025, sourced from the IMF. Figures for 2015–2024 are reported values, while 2025 contains projections as the year is not yet complete. For some countries (such as Afghanistan and a few others), certain years are missing due to data not being reported. The dataset is well-suited for: 1) Trend analysis – Study global GDP growth patterns over the past decade. 2) Forecasting models – Train machine learning models to predict future GDP values. 3) Country comparisons – Compare economic performance between countries or regions. 4) Time-series learning – Practice ARIMA, Prophet, LSTM, and other forecasting techniques. 5) Impact studies – Analyze the impact of global events (e.g., COVID-19) on GDP. 6) Correlation analysis – Link GDP with other indicators (population, inflation, CO₂ emissions). 7) Regional studies – Examine differences between continents or economic blocs (EU, ASEAN, G7, BRICS). 8) Inequality measurement – Compare GDP distribution across developed vs. developing economies. 9) Visualization projects – Create dashboards, heatmaps, or choropleth maps of GDP data. 10) Educational use – Use the dataset in economics, finance, or data science courses as a teaching resource.

Frequency-domain pairs of BRIC and G7 equities.

Detailed analysis available at: ** https://open.substack.com/pub/datencule/p/skyscrapers-and-debt-analysis-on?r=237git&utm_campaign=post&utm_medium=web**

Analysis of the G7, BRICS, ASEAN, and SAARC nations' skyscraper development and debt to GDP ratio. The analysis will give crucial information to international enterprises to design their international expansion, outsourcing & operational strategies in a more calculated & effective manner.