Worldwide Governance Indicators: country governance scores (WGI)

Commercial use OKFreshLicense: CC-BY-4.0

The full snapshot isn't published yet — check back after the next refresh.Download sample CSV Download sample JSONSample rows only (up to 20) — not the complete dataset.

Yearly Worldwide Governance Indicators (World Bank, 1996 ->, 200+ economies, keyless API source 3): the six WGI 0-100 governance scores (Voice and Accountability, Political Stability, Government Effectiveness, Regulatory Quality, Rule of Law, Control of Corruption) plus a 6-dimension composite governance index with 5-year changes, OLS trend slopes, 3-sigma anomaly flags vs a trailing 5-year baseline, cross-country ranks, and fragile-state / reform-momentum / backsliding flags. All rows carry normalized ISO country codes so they join cleanly with other macro and risk data. Raw data: World Bank, Worldwide Governance Indicators.

Source: Worldwide Governance Indicators (derived signals)
Rows: 5,389
Columns: 18
Source cadence: Yearly
Last refreshed: Oct 2, 2026
Theme: government

Column	Type	Description
date	date	Observation year (World Bank API Time id YRyyyy; mapped to YYYY-01-01).
country	string	Country name via the hub normalization layer.
country_code	string	ISO 3166-1 alpha-3 country code.
va_score	float	World Bank series GOV_WGI_VA.SC: Voice and Accountability - Governance score (0-100). Percentile-rank score, 0 (lowest) to 100 (highest).
pv_score	float	World Bank series GOV_WGI_PV.SC: Political Stability - Governance score (0-100). Percentile-rank score, 0 (lowest) to 100 (highest).
ge_score	float	World Bank series GOV_WGI_GE.SC: Government Effectiveness - Governance score (0-100). Percentile-rank score, 0 (lowest) to 100 (highest).
rq_score	float	World Bank series GOV_WGI_RQ.SC: Regulatory Quality - Governance score (0-100). Percentile-rank score, 0 (lowest) to 100 (highest).
rl_score	float	World Bank series GOV_WGI_RL.SC: Rule of Law - Governance score (0-100). Percentile-rank score, 0 (lowest) to 100 (highest).
cc_score	float	World Bank series GOV_WGI_CC.SC: Control of Corruption - Governance score (0-100). Percentile-rank score, 0 (lowest) to 100 (highest).
gov_index_100	float	Composite governance index: mean of the available WGI dimension scores (0-100 percentile scale), requires at least 4 of 6 dimensions.
n_dims	integer	Number of WGI dimensions with data this year.
change_5y_pp	float	5-year change in the composite governance index, in percentage points.
trend_slope	float	OLS slope of the composite index over the trailing 10 observations (points per year).
anomaly_flag	integer	1 when the year's composite index is a >3-sigma outlier versus its trailing 5-year baseline, else 0.
rank	integer	Per-year cross-country rank on the composite index (1 = best governed).
fragile_state_flag	integer	1 when the composite index is below 25, else 0.
reform_momentum_flag	integer	1 when the 5-year change is >= +10 points, else 0.
backsliding_flag	integer	1 when the 5-year change is <= -10 points, else 0.

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

date	country	country_code	va_score	pv_score	ge_score	rq_score	rl_score	cc_score	gov_index_100	n_dims	change_5y_pp	trend_slope	rank	reform_momentum_flag
2004-01-01	Aruba	ABW	65.524	76.531	70.072	68	68.714	67.548	69.398	6	—	—	41	0
2005-01-01	Aruba	ABW	76.52	89.834	77.469	74.517	71.814	74.832	77.497	6	—	—	27	0
2006-01-01	Aruba	ABW	76.675	89.89	77.447	74.445	71.835	74.996	77.548	6	—	—	29	0
2007-01-01	Aruba	ABW	76.601	89.912	77.479	74.47	71.904	74.88	77.541	6	—	2.448	28	0
2008-01-01	Aruba	ABW	76.652	89.889	77.966	74.39	71.878	74.911	77.614	6	—	1.648	28	0
2009-01-01	Aruba	ABW	83.69	89	80.271	81.138	82.13	68.824	80.842	6	11.444	1.645	21	1
2010-01-01	Aruba	ABW	83.668	87.675	70.15	81.147	82.116	68.832	78.932	6	1.434	1.263	25	0
2011-01-01	Aruba	ABW	83.702	87.611	70.139	81.164	80.966	68.812	78.732	6	1.184	0.982	26	0
2012-01-01	Aruba	ABW	83.675	88.809	70.141	81.091	80.939	68.77	78.904	6	1.363	0.797	26	0
2013-01-01	Aruba	ABW	83.635	88.819	70.135	81.085	80.886	68.773	78.889	6	1.275	0.658	25	0

Profiled Oct 2, 2026 from snapshot 20261002T041653Z-f8403b375b3f

Measured

Completeness: 98.2%
Rows: 5,389
Columns: 18
Columns with gaps: 6

Rows per yeardate · 1996–2025 · 27 years

19962025

Column	Missing	Distinct	Range	Distribution
datedate	0%	27	Jan 1, 1996 → Jan 1, 2025	—
countryvarchar	0%	221	—	Afghanistan27 Albania27 Algeria27
country_codevarchar	0%	262	—	AFG27 AGO27 ALB27
va_scoredouble	0.65%	4,696	12.95 → 92.04median 57.96	108 outside 1st–99th percentile
pv_scoredouble	0.11%	5,700	15.61 → 96.49median 66.01	107 outside 1st–99th percentile
ge_scoredouble	0.61%	5,373	1.46 → 99.63median 50.02	108 outside 1st–99th percentile
rq_scoredouble	0.59%	5,402	10.85 → 94.54median 53.33	108 outside 1st–99th percentile
rl_scoredouble	0%	5,076	20.28 → 93.19median 55.55	108 outside 1st–99th percentile
cc_scoredouble	0%	4,122	5.76 → 98.17median 43.59	108 outside 1st–99th percentile
gov_index_100double	0%	6,566	14.43 → 92.9median 53.82	108 outside 1st–99th percentile
n_dimsbigint	0%	3	4 → 6median 6	30 outside 1st–99th percentile
change_5y_ppdouble	19.2%	4,320	-21.67 → 20.32median 0.1676	88 outside 1st–99th percentile
trend_slopedouble	11.5%	6,000	-6.25 → 5.14median 0.0595	96 outside 1st–99th percentile
anomaly_flagbigint	0%	1	0 → 0median 0
rankbigint	0%	225	1 → 207median 100	104 outside 1st–99th percentile
fragile_state_flagbigint	0%	2	0 → 1median 0
reform_momentum_flagbigint	0%	2	0 → 1median 0
backsliding_flagbigint	0%	2	0 → 1median 0

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

cURL

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

Python

import requests

ds = requests.get("https://datazimuts.com/v1/datasets/wb_wgi_signals/governance_indicators").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/wb_wgi_signals/governance_indicators

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

Cite this snapshot

Pinned to snapshot 20261002T041653Z-f8403b375b3f and its content hash, so readers get exactly the data you used.

APA

Worldwide Governance Indicators (derived signals). (2026). Worldwide Governance Indicators: country governance scores (WGI) [Data set, snapshot 20261002T041653Z-f8403b375b3f, sha256 f8403b375b3f]. Datazimuts. Retrieved 2026-10-02, from https://datazimuts.com/en/datasets/wb_wgi_signals/governance_indicators?snapshot=20261002T041653Z-f8403b375b3f

BibTeX

@misc{dz_wb_wgi_signals_governance_indicators_f8403b37,
  title        = {{Worldwide Governance Indicators: country governance scores (WGI)}},
  author       = {{Worldwide Governance Indicators (derived signals)}},
  year         = {2026},
  publisher    = {Datazimuts},
  howpublished = {\url{https://datazimuts.com/en/datasets/wb_wgi_signals/governance_indicators?snapshot=20261002T041653Z-f8403b375b3f}},
  note         = {Snapshot 20261002T041653Z-f8403b375b3f, sha256 f8403b375b3f522a3eb90afee1051aafd6a7d3b770c68630ab9c95f6b59632ff; accessed 2026-10-02}
}

Embed a table or a chart

Paste this into any page. The embed is pinned to the same snapshot, follows the reader's light or dark setting, and always shows the source, license and a link back.

Type

X axis

Value

Aggregate

Theme

HTML

<iframe src="https://datazimuts.com/embed/chart?dataset=wb_wgi_signals%2Fgovernance_indicators&lang=en&theme=auto&snapshot=20261002T041653Z-f8403b375b3f&x=date&y=va_score&agg=avg" title="Worldwide Governance Indicators: country governance scores (WGI)" width="100%" height="380" style="border:0" loading="lazy"></iframe>

Worldwide Governance Indicators: country governance scores (WGI)

Follow this dataset

Cite this snapshot

Embed a table or a chart

Use your own AI key