Value-added panel of WIPO's Global Innovation Index 2025, 18th edition (official WIPO data workbook, keyless, CC BY 4.0): one row per economy for 2025 with the overall GII score (0-100), the Innovation Input and Innovation Output sub-index scores, and the seven pillar scores — Institutions, Human capital and research, Infrastructure, Market sophistication, Business sophistication, Knowledge and technology outputs, Creative outputs — plus derived signals: overall/input/output ranks, income-group and region ranks, the input-output efficiency gap and an innovation tier. The innovation-competitiveness layer for country-risk, FDI targeting and tech-ecosystem models; joins on economy_code with the catalog's other global panels.

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

Source: WIPO Global Innovation Index intelligence
Lignes: 139
Colonnes: 26
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 (WIPO Economies sheet field ISO3).
economy_name	string	Official economy name (WIPO Economies sheet field ECONOMY_NAME).
income_group	string	World Bank income group (WIPO field INCOME: HI/UM/LM/LI mapped to labels; VEN is 'NA' upstream and ships null).
un_region	string	UN Statistics Division region (WIPO field REG_UN).
population_thousands	float	Economy population in thousands (WIPO field POP). (unit: thousands)
ppp_gdp_billions	float	Economy GDP in $billions PPP (WIPO field PPPGDP). (unit: USD PPP billions)
year	integer	GII edition year (2025, 18th edition).
gii_score	float	Global Innovation Index overall score, the simple average of the Input and Output sub-indices (scale 0-100). (unit: 0-100)
gii_rank	integer	Rank of gii_score across economies (1 = highest). (unit: rank)
input_score	float	Innovation Input Sub-Index score: simple average of the five input pillar scores (scale 0-100). (unit: 0-100)
input_rank	integer	Rank of input_score across economies. (unit: rank)
output_score	float	Innovation Output Sub-Index score: simple average of the two output pillar scores (scale 0-100). (unit: 0-100)
output_rank	integer	Rank of output_score across economies. (unit: rank)
institutions	float	Pillar score: Institutions (scale 0-100). (unit: 0-100)
human_capital_research	float	Pillar score: Human capital and research (scale 0-100). (unit: 0-100)
infrastructure	float	Pillar score: Infrastructure (scale 0-100). (unit: 0-100)
market_sophistication	float	Pillar score: Market sophistication (scale 0-100). (unit: 0-100)
business_sophistication	float	Pillar score: Business sophistication (scale 0-100). (unit: 0-100)
knowledge_tech_outputs	float	Pillar score: Knowledge and technology outputs (scale 0-100). (unit: 0-100)
creative_outputs	float	Pillar score: Creative outputs (scale 0-100). (unit: 0-100)
input_output_gap	integer	input_rank minus output_rank: positive means the economy converts innovation inputs into outputs more efficiently than its input rank alone suggests. (unit: rank points)
efficiency_ratio	float	output_score divided by input_score (rounded to 4dp). (unit: ratio)
innovation_tier	string	Agent-defined fixed cuts on gii_score: frontier >= 50, advanced >= 40, emerging >= 30, nascent >= 20, early < 20.
income_group_rank	integer	Rank of gii_score within the economy's World Bank income group (null for unclassified economies). (unit: rank)
region_rank	integer	Rank of gii_score within the economy's UNSD region. (unit: rank)
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	income_group	un_region	population_thousands	ppp_gdp_billions	year	gii_score	gii_rank	input_score	input_rank	output_score	output_rank	institutions	human_capital_research	infrastructure	market_sophistication	business_sophistication	knowledge_tech_outputs	creative_outputs	input_output_gap	efficiency_ratio	innovation_tier	income_group_rank	region_rank	row_hash
AGO	Angola	Lower middle income	Sub-Saharan Africa	37 885,85	374,937	2 025	13,026	138	20,839	133	5,213	137	27,636	12,867	26,873	20,718	16,101	5,456	4,97	-4	0,25	early	37	31	3b7fa0490870
ALB	Albania	Upper middle income	Europe	2 791,76	58,196	2 025	29,607	67	40,984	53	18,23	82	58,706	22,383	52,279	41,051	30,502	16,454	20,007	-29	0,445	nascent	16	36	563a8087a696
ARE	United Arab Emirates	High income	Northern Africa and Western Asia	11 027,13	849,778	2 025	44,154	30	58,715	14	29,594	47	81,785	54,675	61,113	54,03	41,973	23,039	36,149	-33	0,504	advanced	29	3	913636b9ee46
ARG	Argentina	Upper middle income	Latin America and the Caribbean	45 696,16	1 353,804	2 025	26,778	77	31,128	92	22,428	64	28,597	33,764	38,486	28,16	26,635	18,146	26,709	28	0,721	nascent	21	7	5bbdbf85e255
ARM	Armenia	Upper middle income	Northern Africa and Western Asia	2 973,84	69,297	2 025	30,448	59	34,575	78	26,321	53	48,968	24,653	39,259	32,954	27,041	21,466	31,177	25	0,761	emerging	11	9	42c7e02f7a8f
AUS	Australia	High income	South East Asia, East Asia, and Oceania	26 713,21	1 897,885	2 025	48,006	22	58,248	16	37,763	27	76,076	58,575	55,663	55,398	45,53	33,025	42,501	-11	0,648	advanced	21	6	193c31c77ce4
AUT	Austria	High income	Europe	9 120,82	667,153	2 025	50,097	19	57,98	17	42,214	21	72,102	58,567	59,336	46,906	52,989	39,92	44,507	-4	0,728	frontier	18	11	e0f3331416db
AZE	Azerbaijan	Upper middle income	Northern Africa and Western Asia	10 336,58	253,121	2 025	22,869	94	34,975	76	10,764	112	60,906	25,246	31,159	35,206	22,356	11,148	10,38	-36	0,308	nascent	30	17	9ffbfabfdb0c
BDI	Burundi	Low income	Sub-Saharan Africa	14 047,79	13,174	2 025	15,764	127	23,477	125	8,05	127	30,674	19,914	23,313	20,986	22,499	6,224	9,877	-2	0,343	early	7	22	11a681a72f08
BEL	Belgium	High income	Europe	11 738,77	863,837	2 025	48,463	21	56,723	23	40,204	23	68,06	54,948	51,711	53,365	55,529	41,35	39,058	0	0,709	advanced	20	13	8ffe1eb3fc73

3 oct. 2026Actuelle
20261003T142247Z-93944d60f5fe · sha256 93944d60f5fe…
139 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/wipo_gii_intel/gii_innovation_2025" | jq '{title, rows, columns_count, license}'

Python

import requests

ds = requests.get("https://datazimuts.com/v1/datasets/wipo_gii_intel/gii_innovation_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/wipo_gii_intel/gii_innovation_2025

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

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APA

WIPO Global Innovation Index intelligence. (2026). Global Innovation Index 2025: innovation scores by economy [Data set, snapshot 20261003T142247Z-93944d60f5fe, sha256 93944d60f5fe]. Datazimuts. Retrieved 2026-10-05, from https://datazimuts.com/fr/datasets/wipo_gii_intel/gii_innovation_2025?snapshot=20261003T142247Z-93944d60f5fe

BibTeX

@misc{dz_wipo_gii_intel_gii_innovation_2025_93944d60,
  title        = {{Global Innovation Index 2025: innovation scores by economy}},
  author       = {{WIPO Global Innovation Index intelligence}},
  year         = {2026},
  publisher    = {Datazimuts},
  howpublished = {\url{https://datazimuts.com/fr/datasets/wipo_gii_intel/gii_innovation_2025?snapshot=20261003T142247Z-93944d60f5fe}},
  note         = {Snapshot 20261003T142247Z-93944d60f5fe, sha256 93944d60f5fe0a3d8b3e936219f0914db01825b699d2f01b17c2c05171ebb68d; accessed 2026-10-05}
}

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