Logistics Performance Index 2022: trade-logistics scores by economy

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Value-added panel of the World Bank's Logistics Performance Index 2022 vintage — the latest published edition (keyless World Bank API v2, CC BY 4.0): one row per economy for 2022 with the overall LPI score (1-5) and the six components — customs efficiency, trade/transport infrastructure, ease of arranging competitively priced international shipments, logistics services quality, tracking & tracing, shipment timeliness — plus derived signals: overall rank, weakest/strongest component and component spread. The trade-logistics competitiveness layer for supply-chain, trade-cost and country-risk models; joins on economy_code with the catalog's other World Bank panels.

Source: World Bank Logistics Performance Index intelligence
Rows: 138
Columns: 17
Source cadence: Yearly
Last refreshed: Oct 3, 2026
Theme: economics

Column	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 LPI vintage (2022, the latest published edition).
lpi_overall	float	LPI overall score (scale 1-5): mean of the six component scores. (unit: 1-5)
customs	float	LPI component: efficiency of the customs clearance process (scale 1-5). (unit: 1-5)
infrastructure	float	LPI component: quality of trade and transport-related infrastructure (scale 1-5). (unit: 1-5)
intl_shipments	float	LPI component: ease of arranging competitively priced international shipments (scale 1-5). (unit: 1-5)
logistics_quality	float	LPI component: competence and quality of logistics services (scale 1-5). (unit: 1-5)
tracking	float	LPI component: ability to track and trace consignments (scale 1-5). (unit: 1-5)
timeliness	float	LPI component: frequency with which shipments reach the consignee within the scheduled or expected time (scale 1-5). (unit: 1-5)
overall_rank	integer	Rank of lpi_overall across economies (1 = highest). (unit: rank)
weakest_component	string	Component with the lowest score for the economy.
strongest_component	string	Component with the highest score for the economy.
components_spread	float	Max minus min of the six component scores. (unit: 0-4)
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	region	income_group	year	lpi_overall	customs	infrastructure	intl_shipments	logistics_quality	tracking	timeliness	overall_rank	weakest_component	strongest_component	components_spread	row_hash
AFG	Afghanistan	Middle East, North Africa, Afghanistan & Pakistan	Low income	2,022	1.9	2.1	1.7	1.8	2	1.6	2.3	137	tracking	timeliness	0.7	4ef27c61ce52
AGO	Angola	Sub-Saharan Africa	Lower middle income	2,022	2.1	1.7	2.1	2.4	2.3	2.3	2.1	133	customs	intl_shipments	0.7	a7dcfef75609
ALB	Albania	Europe & Central Asia	Upper middle income	2,022	2.5	2.4	2.7	2.8	2.3	2.3	2.5	96	logistics_quality	intl_shipments	0.5	55a79dc2a66c
ARE	United Arab Emirates	Middle East, North Africa, Afghanistan & Pakistan	High income	2,022	4	3.7	4.1	3.8	4	4.1	4.2	7	customs	timeliness	0.5	d602e6c7271c
ARG	Argentina	Latin America & Caribbean	Upper middle income	2,022	2.8	2.7	2.8	2.7	2.7	2.9	3.1	72	customs	timeliness	0.4	86190d96676f
ARM	Armenia	Europe & Central Asia	Upper middle income	2,022	2.5	2.5	2.6	2.2	2.6	2.3	2.7	96	intl_shipments	timeliness	0.5	0abebbb6b2a3
ATG	Antigua and Barbuda	Latin America & Caribbean	High income	2,022	2.9	2.2	2.7	2.9	2.9	3.2	3.4	65	customs	timeliness	1.2	84b8eead0558
AUS	Australia	East Asia & Pacific	High income	2,022	3.7	3.7	4.1	3.1	3.9	4.1	3.6	18	intl_shipments	infrastructure	1	5309c5724da8
AUT	Austria	Europe & Central Asia	High income	2,022	4	3.7	3.9	3.8	4	4.2	4.3	7	customs	timeliness	0.6	b18e8365de7b
BEL	Belgium	Europe & Central Asia	High income	2,022	4	3.9	4.1	3.8	4.2	4	4.2	7	intl_shipments	logistics_quality	0.4	4dde1cabd5bf

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_lpi_intel/lpi_logistics_2022" | jq '{title, rows, columns_count, license}'

Python

import requests

ds = requests.get("https://datazimuts.com/v1/datasets/wb_lpi_intel/lpi_logistics_2022").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_lpi_intel/lpi_logistics_2022

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

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Pinned to snapshot 20261003T102413Z-22955f07537c and its content hash, so readers get exactly the data you used.

APA

World Bank Logistics Performance Index intelligence. (2026). Logistics Performance Index 2022: trade-logistics scores by economy [Data set, snapshot 20261003T102413Z-22955f07537c, sha256 22955f07537c]. Datazimuts. Retrieved 2026-10-05, from https://datazimuts.com/en/datasets/wb_lpi_intel/lpi_logistics_2022?snapshot=20261003T102413Z-22955f07537c

BibTeX

@misc{dz_wb_lpi_intel_lpi_logistics_2022_22955f07,
  title        = {{Logistics Performance Index 2022: trade-logistics scores by economy}},
  author       = {{World Bank Logistics Performance Index intelligence}},
  year         = {2026},
  publisher    = {Datazimuts},
  howpublished = {\url{https://datazimuts.com/en/datasets/wb_lpi_intel/lpi_logistics_2022?snapshot=20261003T102413Z-22955f07537c}},
  note         = {Snapshot 20261003T102413Z-22955f07537c, sha256 22955f07537c7c2281e5f78907329fa9ffacd3814eba311f59b4adc9a3cf9140; accessed 2026-10-05}
}

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Logistics Performance Index 2022: trade-logistics scores by economy

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