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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.

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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.