npaleti2002/World_Bank_GDP_by_Country_and_Continent_2000-2024
World Bank GDP by Country & Continent (2000–2025) A clean, visual, non-technical analysis of World Bank GDP (current US$) organized by country and summarized to a 7-continent view. All values are expressed in USD (billions) for readability. Why this repo exists To provide a single place to: Extract authoritative GDP data from the World Bank (2000–2025), Publish & share a tidy dataset on Kaggle, Analyze & present insights in a visual, plain-English notebook.… See the full description on the dataset page: https://huggingface.co/datasets/npaleti2002/World_Bank_GDP_by_Country_and_Continent_2000-2024.
World Bank GDP by Country & Continent (2000–2025)
A clean, visual, non-technical analysis of World Bank GDP (current US$) organized by country and summarized to a 7-continent view. All values are expressed in USD (billions) for readability.
Why this repo exists
To provide a single place to:
- Extract authoritative GDP data from the World Bank (2000–2025),
- Publish & share a tidy dataset on Kaggle,
- Analyze & present insights in a visual, plain-English notebook.
What’s included
- Dataset (wide format): gdp20002025.csv Columns: Name of country, Continent, 2000, 2001, …, 2025 (values in USD billions).
- Notebook: world-bank-gdp-by-country-continent.ipynb Visual, non-technical walkthrough covering leaders, continent shares, long-run deltas, COVID shock & recovery, pre/post-COVID growth, volatility, and global trendlines.
Data source & extraction
- Source APIs: World Bank Country metadata and GDP indicator NY.GDP.MKTP.CD (current US$), for years 2000–2025.
- Process: Pull countries and GDP values with pagination → clean names/regions → map countries to 7 continents (Oceania grouped under Australia for a business-friendly view) → convert to USD (billions) → export a single wide CSV.
- Guardrail: The analysis uses a “latest reliable year” concept (≥70% country coverage) to avoid biased “current” comparisons.
- Note: Antarctica has no countries; it will not appear in the dataset.
Kaggle dataset: https://www.kaggle.com/datasets/naveenapaleti/world-bank-gdp-by-country-and-continent20002025
Notebook
- Leaders & shares: Top economies in the latest reliable year; continent pie; stacked area over time.
- Winners since 2000: Absolute GDP change (capped at ≤2024 for fairness).
- COVID lens: 2019→2020 shock distribution and years to recover to 2019 levels.
- Growth regimes: Pre- vs Post-COVID CAGR (who accelerated, who slowed).
- Volatility radar: Who’s steady vs lumpy (YoY variability).
- Global line: Total world GDP over time.
Kaggle notebook: https://www.kaggle.com/code/naveenapaleti/world-bank-gdp-by-country-continent
Assumptions & design choices
- Units: Scaled to USD (billions); growth rates are scale-invariant.
- “Latest reliable year” rule: Year is “current” only if ≥70% of countries report data.
- Fair comparisons: Long-range deltas are capped at ≤2024 to avoid over-crediting countries missing the newest year.
Update cadence
- World Bank GDP (indicator NY.GDP.MKTP.CD) updates annually.
- Recommended: Refresh this dataset once per year after the World Bank’s release.
Licensing & attribution
- Data: © World Bank — CC BY 4.0 (attribution required).
- Include: “Contains World Bank Group data, used under CC BY 4.0. The World Bank does not endorse this work.”
- Code & notebook: MIT License.
Contributing
Pull requests welcome. Please keep it dependency-light, preserve the USD (billions) convention, and document any taxonomy or methodology changes in the README.
Contact
Feedback, issues, or feature requests (e.g., per-capita or PPP variants)? Open an issue on GitHub or use the repo’s discussions.
