Value-added panel of the World Bank's Women, Business and the Law 2026 scores (keyless World Bank API v2, CC BY 4.0): one row per economy for 2025 with the three pillar indices — Legal Framework, Supportive Framework, Enforcement Perceptions — and the 10 topic x 3 pillar scores (Mobility, Work, Pay, Marriage, Parenthood, Childcare, Entrepreneurship, Assets, Pension, Safety), plus derived implementation-gap signals (law on the books vs enforcement in practice), pillar ranks and weakest/strongest topics. The legal-equality layer for gender, governance and ESG/country-risk models; joins on economy_code with the catalog's other World Bank panels.

Les titres et les descriptions proviennent des sources de données, en anglais.

Source: World Bank Women, Business and the Law intelligence
Lignes: 189
Colonnes: 46
Cadence de la source: Annuelle
Dernière actualisation: 3 oct. 2026
Thème: economics

Colonne	Type	Description
economy_code	string	ISO 3166-1 alpha-3 economy code (World Bank API field countryiso3code).
economy_name	string	Economy name as published by the World Bank API.
region	string	World Bank region (API field region.value).
income_group	string	World Bank income group (API field incomeLevel.value).
year	integer	Reference year of the WBL 2026 scores (2025).
law_index	float	WBL Legal Framework Index (scale 0-100): mean of the 10 topic Legal Framework scores. (unit: 0-100)
supportive_index	float	WBL Supportive Framework Index (scale 0-100): mean of the 10 topic Supportive Framework scores. (unit: 0-100)
enforcement_index	float	WBL Enforcement Perceptions Index (scale 0-100): mean of the 10 topic Enforcement Perceptions scores. (unit: 0-100)
mobility_law	float	WBL Legal Framework, Mobility: score (scale 0-100). (unit: 0-100)
mobility_supportive	float	WBL Supportive Framework, Mobility: score (scale 0-100). (unit: 0-100)
mobility_enforcement	float	WBL Enforcement Perceptions, Mobility: score (scale 0-100). (unit: 0-100)
work_law	float	WBL Legal Framework, Work: score (scale 0-100). (unit: 0-100)
work_supportive	float	WBL Supportive Framework, Work: score (scale 0-100). (unit: 0-100)
work_enforcement	float	WBL Enforcement Perceptions, Work: score (scale 0-100). (unit: 0-100)
pay_law	float	WBL Legal Framework, Pay: score (scale 0-100). (unit: 0-100)
pay_supportive	float	WBL Supportive Framework, Pay: score (scale 0-100). (unit: 0-100)
pay_enforcement	float	WBL Enforcement Perceptions, Pay: score (scale 0-100). (unit: 0-100)
marriage_law	float	WBL Legal Framework, Marriage: score (scale 0-100). (unit: 0-100)
marriage_supportive	float	WBL Supportive Framework, Marriage: score (scale 0-100). (unit: 0-100)
marriage_enforcement	float	WBL Enforcement Perceptions, Marriage: score (scale 0-100). (unit: 0-100)
parenthood_law	float	WBL Legal Framework, Parenthood: score (scale 0-100). (unit: 0-100)
parenthood_supportive	float	WBL Supportive Framework, Parenthood: score (scale 0-100). (unit: 0-100)
parenthood_enforcement	float	WBL Enforcement Perceptions, Parenthood: score (scale 0-100). (unit: 0-100)
childcare_law	float	WBL Legal Framework, Childcare: score (scale 0-100). (unit: 0-100)
childcare_supportive	float	WBL Supportive Framework, Childcare: score (scale 0-100). (unit: 0-100)
childcare_enforcement	float	WBL Enforcement Perceptions, Childcare: score (scale 0-100). (unit: 0-100)
entrepreneurship_law	float	WBL Legal Framework, Entrepreneurship: score (scale 0-100). (unit: 0-100)
entrepreneurship_supportive	float	WBL Supportive Framework, Entrepreneurship: score (scale 0-100). (unit: 0-100)
entrepreneurship_enforcement	float	WBL Enforcement Perceptions, Entrepreneurship: score (scale 0-100). (unit: 0-100)
assets_law	float	WBL Legal Framework, Assets: score (scale 0-100). (unit: 0-100)
assets_supportive	float	WBL Supportive Framework, Assets: score (scale 0-100). (unit: 0-100)
assets_enforcement	float	WBL Enforcement Perceptions, Assets: score (scale 0-100). (unit: 0-100)
pension_law	float	WBL Legal Framework, Pension: score (scale 0-100). (unit: 0-100)
pension_supportive	float	WBL Supportive Framework, Pension: score (scale 0-100). (unit: 0-100)
pension_enforcement	float	WBL Enforcement Perceptions, Pension: score (scale 0-100). (unit: 0-100)
safety_law	float	WBL Legal Framework, Safety: score (scale 0-100). (unit: 0-100)
safety_supportive	float	WBL Supportive Framework, Safety: score (scale 0-100). (unit: 0-100)
safety_enforcement	float	WBL Enforcement Perceptions, Safety: score (scale 0-100). (unit: 0-100)
implementation_gap	float	Law on the books vs practice: law_index minus enforcement_index (pp). Positive = legal rights exceed perceived enforcement. (unit: percentage points)
support_gap	float	law_index minus supportive_index (pp). (unit: percentage points)
law_rank	integer	Rank of law_index across economies (1 = highest). (unit: rank)
enforcement_rank	integer	Rank of enforcement_index across economies (1 = highest). (unit: rank)
weakest_topic_law	string	Topic with the lowest Legal Framework score for the economy.
strongest_topic_law	string	Topic with the highest Legal Framework score for the economy.
pillars_spread	float	Max minus min of the three pillar indices. (unit: 0-100)
row_hash	string	Deterministic 12-hex row identity hash (economy_code\|year).

10 premières lignes d’exemple — un aperçu, pas le jeu de données complet.

economy_code	economy_name	region	income_group	year	law_index	supportive_index	enforcement_index	mobility_law	mobility_supportive	mobility_enforcement	work_law	work_supportive	work_enforcement	pay_law	pay_supportive	pay_enforcement	marriage_law	marriage_supportive	marriage_enforcement	parenthood_law	parenthood_supportive	parenthood_enforcement	childcare_law	childcare_supportive	childcare_enforcement	entrepreneurship_law	entrepreneurship_supportive	entrepreneurship_enforcement	assets_law	assets_supportive	assets_enforcement	pension_law	pension_supportive	pension_enforcement	safety_law	safety_supportive	safety_enforcement	implementation_gap	support_gap	law_rank	enforcement_rank	weakest_topic_law	strongest_topic_law	pillars_spread	row_hash
AFG	Afghanistan	Middle East, North Africa, Afghanistan & Pakistan	Low income	2 025	5	3	13,23	25	0	45,83	0	0	6,25	0	0	37,5	0	25	21,88	0	0	0	0	0	0	0	5	0	0	0	8,33	25	0	12,5	0	0	0	-8,23	2	189	177	work	mobility	10,23	31fc2b3933e8
AGO	Angola	Sub-Saharan Africa	Lower middle income	2 025	71,6	35	55,08	100	75	100	50	0	37,5	75	50	47,63	100	62,5	96,88	74,75	50	52	75	0	40,63	50	12,5	40,63	100	37,5	84,38	60	12,5	36,25	31,25	50	14,88	16,52	36,6	87	79	safety	mobility	36,6	3b7fa0490870
ALB	Albania	Europe & Central Asia	Upper middle income	2 025	78,1	60,68	62,6	100	75	100	87,5	50	53,13	100	12,5	68,75	100	100	100	80,25	50	63,81	25	25	6,25	50	77,5	50	100	75	93,75	75,75	50	52,81	62,5	91,75	37,5	15,5	17,42	65	57	childcare	mobility	17,42	563a8087a696
ARE	United Arab Emirates	Middle East, North Africa, Afghanistan & Pakistan	High income	2 025	53,58	36,83	—	37,5	50	—	62,5	16,75	—	100	37,5	—	25	100	—	54,5	0	—	41,75	25	—	62,5	35	—	25	12,5	—	83,25	50	—	43,75	41,5	—	—	16,75	140	—	marriage	pay	16,75	913636b9ee46
ARG	Argentina	Latin America & Caribbean	Upper middle income	2 025	80,78	50,3	66,71	100	75	100	100	25	62,5	75	50	59,22	100	50	100	76,5	25	69,38	66,75	62,5	39,63	50	67,5	37,5	100	12,5	93,75	70,75	75	58,25	68,75	60,5	46,88	14,07	30,48	54	39	entrepreneurship	mobility	30,48	5bbdbf85e255
ARM	Armenia	Europe & Central Asia	Upper middle income	2 025	75	44,83	60,16	100	75	93,75	87,5	25	57,81	75	37,5	56,25	100	50	87,5	87,5	50	65,63	50	0	25	25	52,5	25	100	37,5	100	100	37,5	78,13	25	83,25	12,5	14,84	30,17	76	63	entrepreneurship	mobility	30,17	42c7e02f7a8f
ATG	Antigua and Barbuda	Latin America & Caribbean	High income	2 025	56,03	33,75	50,8	75	75	100	58,25	0	39,56	75	25	75	100	87,5	100	37,5	25	37,5	25	25	12,5	25	0	25	100	12,5	84,38	58,25	50	33,25	6,25	37,5	0,81	5,23	22,28	135	100	safety	marriage	22,28	f792c7238a3a
AUS	Australia	East Asia & Pacific	High income	2 025	91,88	78,68	82,22	100	100	100	100	100	68,75	100	75	87,5	100	87,5	100	100	25	93,75	100	100	81,25	75	57,5	68,75	100	62,5	100	75	87,5	66,67	68,75	91,75	55,5	9,66	13,2	7	7	safety	mobility	13,2	193c31c77ce4
AUT	Austria	Europe & Central Asia	High income	2 025	90,88	76,53	78,24	100	100	100	100	75	83,33	100	100	81,25	100	87,5	100	100	75	87,5	100	87,5	59,38	87,5	67,5	81,25	100	37,5	100	90	100	66,25	31,25	35,25	23,44	12,64	14,35	12	13	safety	mobility	14,35	e0f3331416db
AZE	Azerbaijan	Europe & Central Asia	Upper middle income	2 025	72,18	47,58	59,12	100	75	100	75	25	50	50	50	56,25	100	50	93,75	75	25	68,75	75	50	18,75	50	55	50	100	37,5	100	65,5	50	32,58	31,25	58,25	21,13	13,06	24,6	85	69	safety	mobility	24,6	9ffbfabfdb0c

3 oct. 2026Actuelle
20261003T082540Z-fc924f9d8232 · sha256 fc924f9d8232…
189 lignes · premier instantané

Dirigez n’importe quel LLM vers le point d’accès des métadonnées — la documentation ci-dessus est aussi lisible par machine (JSON-LD + Croissant).

cURL

curl "https://datazimuts.com/v1/datasets/wb_wbl_intel/wbl_legal_equality_2025" | jq '{title, rows, columns_count, license}'

Python

import requests

ds = requests.get("https://datazimuts.com/v1/datasets/wb_wbl_intel/wbl_legal_equality_2025").json()
print(ds["title"], ds["rows"], "rows")

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

Point d’accès API : https://datazimuts.com/v1/datasets/wb_wbl_intel/wbl_legal_equality_2025

Astuce : récupérez /llms.txt pour le catalogue complet lisible par machine.

D’où viennent ces données et ce qui en a été fait. Le travail des autres apparaît sous forme de décomptes ; seuls les projets partagés sont nommés.

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APA

World Bank Women, Business and the Law intelligence. (2026). Women, Business and the Law 2026: legal-equality scores by economy [Data set, snapshot 20261003T082540Z-fc924f9d8232, sha256 fc924f9d8232]. Datazimuts. Retrieved 2026-10-04, from https://datazimuts.com/fr/datasets/wb_wbl_intel/wbl_legal_equality_2025?snapshot=20261003T082540Z-fc924f9d8232

BibTeX

@misc{dz_wb_wbl_intel_wbl_legal_equality_2025_fc924f9d,
  title        = {{Women, Business and the Law 2026: legal-equality scores by economy}},
  author       = {{World Bank Women, Business and the Law intelligence}},
  year         = {2026},
  publisher    = {Datazimuts},
  howpublished = {\url{https://datazimuts.com/fr/datasets/wb_wbl_intel/wbl_legal_equality_2025?snapshot=20261003T082540Z-fc924f9d8232}},
  note         = {Snapshot 20261003T082540Z-fc924f9d8232, sha256 fc924f9d8232f3f8c41e6a50518ddcfb29e8460b8bee8fbaab83fb69174cfba1; accessed 2026-10-04}
}

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<iframe src="https://datazimuts.com/embed/chart?dataset=wb_wbl_intel%2Fwbl_legal_equality_2025&lang=fr&theme=auto&snapshot=20261003T082540Z-fc924f9d8232&x=year&y=year&agg=avg" title="Women, Business and the Law 2026: legal-equality scores by economy" width="100%" height="380" style="border:0" loading="lazy"></iframe>

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