Country-year panel of the KOF Globalisation Index (2025 vintage, KOF Swiss Economic Institute / ETH Zurich): headline 0-100 index plus de facto / de jure splits across economic, trade, financial, social, interpersonal, informational, cultural and political dimensions, 208 countries 1970-2023, with per-year ranks, year-on-year changes, de facto vs de jure gaps and fixed globalisation tiers. Keyless ETH Zurich download; joins on country_code with the catalog's other global panels. Fills the catalog's globalisation gap (existing trade/macro coverage has no composite globalisation measure).

Source: KOF Globalisation Index intelligence
Rows: 10,472
Columns: 35
Source cadence: Yearly
Last refreshed: Oct 6, 2026
Theme: economy

Column	Type	Description
country_code	string	ISO 3166-1 alpha-3 country code (file column 'code' uses World Bank codes; ADO/ROM/TMP/ZAR/WBG remapped to AND/ROU/TLS/COD/PSE; the 7 regional/income aggregates EAS/ECS/LCN/LMC/MEA/SSF/UMC are dropped).
country	string	Country name from the catalog's canonical ISO3 mapper.
year	integer	Reference year (file column 'year').
kofgi	float	Headline KOF Globalisation Index, 0-100 (100 = most globalised). Higher = more globalised.
kofgi_df	float	De facto headline KOF Globalisation Index, 0-100 (100 = most globalised). De facto = measured flows and activities.
kofgi_dj	float	De jure headline KOF Globalisation Index, 0-100 (100 = most globalised). De jure = policies and conditions enabling globalisation.
econ	float	Economic globalisation sub-index, 0-100. Higher = more globalised.
econ_df	float	De facto economic globalisation sub-index, 0-100. De facto = measured flows and activities.
econ_dj	float	De jure economic globalisation sub-index, 0-100. De jure = policies and conditions enabling globalisation.
trade	float	Trade globalisation sub-index, 0-100. Higher = more globalised.
trade_df	float	De facto trade globalisation sub-index, 0-100. De facto = measured flows and activities.
trade_dj	float	De jure trade globalisation sub-index, 0-100. De jure = policies and conditions enabling globalisation.
financial	float	Financial globalisation sub-index, 0-100. Higher = more globalised.
financial_df	float	De facto financial globalisation sub-index, 0-100. De facto = measured flows and activities.
financial_dj	float	De jure financial globalisation sub-index, 0-100. De jure = policies and conditions enabling globalisation.
social	float	Social globalisation sub-index, 0-100. Higher = more globalised.
social_df	float	De facto social globalisation sub-index, 0-100. De facto = measured flows and activities.
social_dj	float	De jure social globalisation sub-index, 0-100. De jure = policies and conditions enabling globalisation.
interpersonal	float	Interpersonal globalisation sub-index, 0-100. Higher = more globalised.
interpersonal_df	float	De facto interpersonal globalisation sub-index, 0-100. De facto = measured flows and activities.
interpersonal_dj	float	De jure interpersonal globalisation sub-index, 0-100. De jure = policies and conditions enabling globalisation.
informational	float	Informational globalisation sub-index, 0-100. Higher = more globalised.
informational_df	float	De facto informational globalisation sub-index, 0-100. De facto = measured flows and activities.
informational_dj	float	De jure informational globalisation sub-index, 0-100. De jure = policies and conditions enabling globalisation.
cultural	float	Cultural globalisation sub-index, 0-100. Higher = more globalised.
cultural_df	float	De facto cultural globalisation sub-index, 0-100. De facto = measured flows and activities.
cultural_dj	float	De jure cultural globalisation sub-index, 0-100. De jure = policies and conditions enabling globalisation.
political	float	Political globalisation sub-index, 0-100. Higher = more globalised.
political_df	float	De facto political globalisation sub-index, 0-100. De facto = measured flows and activities.
political_dj	float	De jure political globalisation sub-index, 0-100. De jure = policies and conditions enabling globalisation.
df_dj_gap	float	De facto minus de jure headline gap (kofgi_df - kofgi_dj): positive = actual globalisation runs ahead of the policy framework. (unit: index points)
kofgi_rank	float	Per-year cross-country rank on the headline index (1 = most globalised; null when kofgi is null). (unit: rank)
kofgi_yoy_pp	float	Year-on-year change of the headline index in points (null for each country's first year). (unit: index points)
globalisation_tier	string	Fixed headline cuts: g1 >= 80 (hyper-globalised), g2 >= 65, g3 >= 50, g4 >= 40, g5 < 40 (marginally globalised); null when kofgi is null.
row_hash	string	Deterministic 12-hex row identity hash (country_code\|year).

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

country_code	country	year	kofgi	kofgi_df	kofgi_dj	econ	econ_df	econ_dj	trade	trade_df	trade_dj	financial	financial_df	financial_dj	social	social_df	social_dj	interpersonal	interpersonal_df	interpersonal_dj	informational	informational_df	informational_dj	cultural	cultural_df	cultural_dj	political	political_df	political_dj	df_dj_gap	kofgi_rank	kofgi_yoy_pp	globalisation_tier	row_hash
ABW	Aruba	1,986	37.086	41.878	30.876	53.631	59.296	—	69.946	68.151	—	40.948	50.441	25.487	68.718	71.988	65.158	78.824	81.939	76.493	58.408	61.993	55.292	65.269	70.431	—	2.788	2.198	3.377	11.001	99	—	g5	e88f012b662b
ABW	Aruba	1,987	37.461	42.527	30.918	54.73	61.05	—	70.585	68.943	—	42.498	53.157	25.525	68.816	72.022	65.323	78.972	81.873	76.804	58.407	62.004	55.282	65.4	70.574	—	2.789	2.205	3.373	11.61	97	0.375	g5	d467a882a6e4
ABW	Aruba	1,988	37.994	43.447	30.963	56.443	63.609	—	74.158	73.425	—	42.823	53.793	25.567	68.866	71.968	65.484	79.008	81.551	77.108	58.398	61.998	55.27	65.538	70.73	—	2.783	2.21	3.357	12.484	97	0.532	g5	966cc49559e3
ABW	Aruba	1,989	37.692	42.831	31.085	55.222	61.944	—	73.857	73.042	—	40.98	50.845	25.748	69.034	71.952	65.85	79.412	81.525	77.835	58.387	61.989	55.257	65.557	70.724	—	2.768	2.208	3.328	11.746	101	-0.302	g5	f63e4273ee4a
ABW	Aruba	1,990	38.274	43.916	31.04	56.611	64.127	—	78.43	78.801	—	40.059	49.452	25.835	69.584	73.032	65.818	80.721	84.699	77.753	58.383	61.993	55.245	65.605	70.76	—	2.736	2.197	3.274	12.876	104	0.582	g5	59b9939dea0e
ABW	Aruba	1,991	38.789	44.856	31.017	58.242	66.547	—	81.911	83.184	—	40.35	49.91	25.993	69.696	73.258	65.802	81.004	85.429	77.709	58.386	62.012	55.234	65.589	70.711	—	2.701	2.182	3.221	13.84	109	0.515	g5	8b0f0923d7fa
ABW	Aruba	1,992	38.481	44.263	31.083	57.257	65.137	—	82.378	83.77	—	38.361	46.504	26.268	69.641	72.974	65.991	80.942	84.803	78.07	58.383	62.009	55.226	65.492	70.544	—	2.68	2.163	3.196	13.18	117	-0.308	g5	eec2dc95462f
ABW	Aruba	1,993	38.374	44.064	31.104	56.979	64.741	—	82.107	83.433	—	38.13	46.048	26.473	69.532	72.775	65.977	80.746	84.4	78.03	58.387	62.011	55.229	65.402	70.4	—	2.664	2.145	3.183	12.96	122	-0.106	g5	c1b01e146fee
ABW	Aruba	1,994	38.035	43.394	31.189	55.807	62.966	—	82.029	83.327	—	36.193	42.605	26.791	69.568	72.686	66.148	80.937	84.378	78.379	58.387	62.003	55.235	65.27	70.209	—	2.652	2.128	3.177	12.205	129	-0.339	g5	117ee27173fe
ABW	Aruba	1,995	38.74	44.33	31.597	57.624	65.164	—	84.037	85.066	—	37.944	45.261	27.252	70.105	73.172	66.739	82.321	86.012	79.578	58.401	62.024	55.245	65.176	70.061	—	2.645	2.112	3.177	12.733	135	0.705	g5	65a5a89d7667

Oct 6, 2026Current
20261006T003357Z-df8f55fa29bb · sha256 df8f55fa29bb…
10,472 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/kof_globalisation_intel/kof_globalisation_panel" | jq '{title, rows, columns_count, license}'

Python

import requests

ds = requests.get("https://datazimuts.com/v1/datasets/kof_globalisation_intel/kof_globalisation_panel").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/kof_globalisation_intel/kof_globalisation_panel

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.

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Pinned to snapshot 20261006T003357Z-df8f55fa29bb and its content hash, so readers get exactly the data you used.

APA

KOF Globalisation Index intelligence. (2026). KOF Globalisation Index panel by country [Data set, snapshot 20261006T003357Z-df8f55fa29bb, sha256 df8f55fa29bb]. Datazimuts. Retrieved 2026-10-06, from https://datazimuts.com/en/datasets/kof_globalisation_intel/kof_globalisation_panel?snapshot=20261006T003357Z-df8f55fa29bb

BibTeX

@misc{dz_kof_globalisation_intel_kof_globalisatio_df8f55fa,
  title        = {{KOF Globalisation Index panel by country}},
  author       = {{KOF Globalisation Index intelligence}},
  year         = {2026},
  publisher    = {Datazimuts},
  howpublished = {\url{https://datazimuts.com/en/datasets/kof_globalisation_intel/kof_globalisation_panel?snapshot=20261006T003357Z-df8f55fa29bb}},
  note         = {Snapshot 20261006T003357Z-df8f55fa29bb, sha256 df8f55fa29bb00e1227d4f06f53646f7d27942ad2bfdfe637a0022a6db0ff507; accessed 2026-10-06}
}

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KOF Globalisation Index panel by country

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