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.

Source: WIPO Global Innovation Index intelligence
Rows: 139
Columns: 26
Source cadence: Yearly
Last refreshed: Oct 3, 2026
Theme: economics

Column	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).

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

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

Oct 3, 2026Current
20261003T142247Z-93944d60f5fe · sha256 93944d60f5fe…
139 rows · first snapshot

Point any LLM at the metadata endpoint — the documentation above is machine-readable too (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)

API endpoint: https://datazimuts.com/v1/datasets/wipo_gii_intel/gii_innovation_2025

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

Where this data comes from and what was made from it. Other people's work shows as counts; only shared projects are named.

Cite this snapshot

Pinned to snapshot 20261003T142247Z-93944d60f5fe and its content hash, so readers get exactly the data you used.

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/en/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/en/datasets/wipo_gii_intel/gii_innovation_2025?snapshot=20261003T142247Z-93944d60f5fe}},
  note         = {Snapshot 20261003T142247Z-93944d60f5fe, sha256 93944d60f5fe0a3d8b3e936219f0914db01825b699d2f01b17c2c05171ebb68d; accessed 2026-10-05}
}

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=wipo_gii_intel%2Fgii_innovation_2025&lang=en&theme=auto&snapshot=20261003T142247Z-93944d60f5fe&x=year&y=population_thousands&agg=avg" title="Global Innovation Index 2025: innovation scores by economy" width="100%" height="380" style="border:0" loading="lazy"></iframe>

Sign in to comment

Ask about this dataset. Answers come only from its catalog record, measured profile and change history, and list the facts they used.

Global Innovation Index 2025: innovation scores by economy

Follow this dataset

Cite this snapshot

Embed a table or a chart

Use your own AI key