Tax revenue (% of GDP)

Name: Tax revenue (% of GDP)
Creator: World Bank
License: https://data.worldbank.org/terms-and-conditions
Keywords: tax, fiscal, government-finance, world-bank, annual

Commercial use OKFreshLicense: CC-BY-4.0

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Sample onlyDownload sample CSV Download sample JSONSample rows only (up to 20) — not the complete dataset.

Tax revenue refers to compulsory transfers to the central government for public purposes, excluding most social security contributions, fines and penalties, and treating refunds as negative revenue — the headline measure of a state's fiscal capacity. The World Bank publishes the indicator in the World Development Indicators from International Monetary Fund data (Government Finance Statistics Yearbook and data files). The 8-country panel is covered 2000-2024, except that Japan has no observations in this series (a genuine upstream gap, not a connector fault); India is sparse before 2008. Values are null where national statistics are unavailable and are never interpolated. Units: percent of GDP.

Source: World Bank
Rows: 208
Columns: 4
Source cadence: Yearly
Last refreshed: Sep 24, 2026
Theme: government

Column	Type	Description
country_code	string	ISO 3166-1 alpha-3 country code (World Bank API field countryiso3code).
country_name	string	Country name as published by the World Bank API.
year	integer	Calendar year of the observation (World Bank API field date).
value	float	Indicator value for the country and year, as defined by the World Bank indicator (see the dataset description). Missing values are null. (unit: % of GDP)

First 10 sample rows — a preview, not the complete dataset.

country_code	country_name	year	value
CAN	Canada	2,000	14.858
CAN	Canada	2,001	14.181
CAN	Canada	2,002	13.378
CAN	Canada	2,003	13.229
CAN	Canada	2,004	13.345
CAN	Canada	2,005	13.299
CAN	Canada	2,006	13.348
CAN	Canada	2,007	13.334
CAN	Canada	2,008	12.39
CAN	Canada	2,009	12.304

Profiled Sep 24, 2026 from snapshot 20260924T000231Z-bf13acba673c

Measured

Completeness: 94.8%
Rows: 208
Columns: 4
Columns with gaps: 1

Rows per yearyear · 2000–2025 · 26 years

20002025

Column	Missing	Distinct	Range	Distribution
country_codevarchar	0%	7	—	CAN26 CHN26 DEU26
country_namevarchar	0%	9	—	Canada26 China26 France26
yearbigint	0%	27	2,000 → 2,025median 2,013
valuedouble	20.7%	166	6.93 → 26.89median 11.83	4 outside 1st–99th percentile

Point any LLM at the metadata endpoint — the documentation above is machine-readable too (JSON-LD + Croissant).

cURL

curl "https://datazimuts.com/v1/datasets/world_bank/tax_revenue_share_gdp" | jq '{title, rows, columns_count, license}'

Python

import requests

ds = requests.get("https://datazimuts.com/v1/datasets/world_bank/tax_revenue_share_gdp").json()
print(ds["title"], ds["rows"], "rows")

# Sample rows for an LLM context window
for row in ds.get("sample_rows", [])[:5]:
    print(row)

API endpoint: https://datazimuts.com/v1/datasets/world_bank/tax_revenue_share_gdp

Tip: fetch /llms.txt for the full machine-readable catalog.

Cite this snapshot

Pinned to snapshot 20260924T000231Z-bf13acba673c and its content hash, so readers get exactly the data you used.

APA

World Bank. (2026). Tax revenue (% of GDP) [Data set, snapshot 20260924T000231Z-bf13acba673c, sha256 bf13acba673c]. Datazimuts. Retrieved 2026-09-24, from https://datazimuts.com/en/datasets/world_bank/tax_revenue_share_gdp?snapshot=20260924T000231Z-bf13acba673c

BibTeX

@misc{dz_world_bank_tax_revenue_share_gdp_bf13acba,
  title        = {{Tax revenue (\% of GDP)}},
  author       = {{World Bank}},
  year         = {2026},
  publisher    = {Datazimuts},
  howpublished = {\url{https://datazimuts.com/en/datasets/world_bank/tax_revenue_share_gdp?snapshot=20260924T000231Z-bf13acba673c}},
  note         = {Snapshot 20260924T000231Z-bf13acba673c, sha256 bf13acba673c2d3c3500818ccb986a6be45269efe1e7308982192fe7a00e7c8a; accessed 2026-09-24}
}

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Tax revenue (% of GDP)

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