Country-year trade panel from the World Bank's keyless API v2: merchandise exports/imports in current US$ and merchandise trade as % of GDP, goods & services exports/imports/external balance as % of GDP, and commercial service exports/imports in current US$, ~210 economies 2010-2024, with merchandise and total trade balances, the services share of exports, 5-year export CAGR and a trade-surplus flag. Joins on country_code with the catalog's other global panels. Fills the catalog's trade gap: existing trade coverage is US-only (FRED) and Canada-only, never global.

Source: World Bank WDI merchandise & services trade intelligence
Rows: 3,130
Columns: 19
Source cadence: Yearly
Last refreshed: Oct 6, 2026
Theme: economy

Column	Type	Description
country_code	string	ISO 3166-1 alpha-3 country code (World Bank API field 'countryiso3code', with the hub normalize fallback on the Bank's country name).
country	string	Country name from the catalog's canonical ISO3 mapper.
year	integer	Reference year (World Bank API 'date', 2010-2024).
merch_exports_usd	float	Merchandise exports in current US$ (WDI TX.VAL.MRCH.CD.WT): the f.o.b. value of goods shipped to the rest of the world. (unit: current US$)
merch_imports_usd	float	Merchandise imports in current US$ (WDI TM.VAL.MRCH.CD.WT): the c.i.f. value of goods received from the rest of the world. (unit: current US$)
merch_trade_gdp	float	Merchandise trade as a share of GDP (WDI TG.VAL.TOTL.GD.ZS): the sum of merchandise exports and imports divided by GDP. (unit: percent of GDP)
exports_gdp	float	Exports of goods and services as % of GDP (WDI NE.EXP.GNFS.ZS). (unit: percent of GDP)
imports_gdp	float	Imports of goods and services as % of GDP (WDI NE.IMP.GNFS.ZS). (unit: percent of GDP)
ext_balance_gdp	float	External balance on goods and services as % of GDP (WDI NE.RSB.GNFS.ZS): exports minus imports of goods and services. (unit: percent of GDP)
serv_exports_usd	float	Commercial service exports in current US$ (WDI TX.VAL.SERV.CD.WT): transport, travel, communications, finance and other services delivered to non-residents. (unit: current US$)
serv_imports_usd	float	Commercial service imports in current US$ (WDI TM.VAL.SERV.CD.WT). (unit: current US$)
merch_trade_balance_usd	float	Merchandise trade balance (merch_exports_usd minus merch_imports_usd); positive = merchandise surplus. (unit: current US$)
total_exports_usd	float	Total exports of goods and services in current US$ (merchandise + commercial services). (unit: current US$)
total_imports_usd	float	Total imports of goods and services in current US$ (merchandise + commercial services). (unit: current US$)
total_trade_balance_usd	float	Total trade balance (total_exports_usd minus total_imports_usd); positive = overall trade surplus. (unit: current US$)
services_share_exports	float	Share of commercial services in total exports (serv_exports_usd / total_exports_usd); null when total exports are null or zero. (unit: share)
export_cagr_5y	float	5-year compound annual growth rate of total_exports_usd (percent per year; null when either endpoint is missing or non-positive). (unit: percent per year)
trade_surplus_flag	float	1 when total_trade_balance_usd > 0 (overall trade surplus), 0 otherwise, null when the balance is null. (unit: flag)
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	merch_exports_usd	merch_imports_usd	merch_trade_gdp	exports_gdp	imports_gdp	ext_balance_gdp	serv_exports_usd	serv_imports_usd	merch_trade_balance_usd	total_exports_usd	total_imports_usd	total_trade_balance_usd	services_share_exports	export_cagr_5y	trade_surplus_flag	row_hash
ABW	Aruba	2,010	265,000,000	1,394,000,000	67.615	60.218	75.246	-15.028	1,545,251,396.648	640,949,720.67	-1,129,000,000	1,810,251,396.648	2,034,949,720.67	-224,698,324.022	0.854	—	0	93d2d96fd18b
ABW	Aruba	2,011	5,180,000,000	5,917,000,000	420.682	69.751	84.687	-14.936	1,663,296,089.385	807,430,167.598	-737,000,000	6,843,296,089.385	6,724,430,167.598	118,865,921.788	0.243	—	1	aca8a4347904
ABW	Aruba	2,012	1,389,000,000	2,046,000,000	131.347	73.104	83.542	-10.438	1,741,117,318.436	784,860,335.196	-657,000,000	3,130,117,318.436	2,830,860,335.196	299,256,983.24	0.556	—	1	659f22f06455
ABW	Aruba	2,013	279,000,000	1,377,000,000	60.707	73.576	82.155	-8.579	1,860,551,231.479	843,847,860.472	-1,098,000,000	2,139,551,231.479	2,220,847,860.472	-81,296,628.994	0.87	—	0	cd39bb0ec696
ABW	Aruba	2,014	259,000,000	1,350,000,000	57.653	75.455	81.036	-5.582	2,021,209,723.242	872,883,314.853	-1,091,000,000	2,280,209,723.242	2,222,883,314.853	57,326,408.388	0.886	—	1	f45a53bae086
ABW	Aruba	2,015	330,000,000	1,250,000,000	53.326	70.322	70.171	0.15	2,089,917,798.012	843,440,272.102	-920,000,000	2,419,917,798.012	2,093,440,272.102	326,477,525.91	0.864	5.977	1	f2cb5b6b6303
ABW	Aruba	2,016	284,000,000	1,138,000,000	47.66	68.967	67.921	1.046	2,031,189,412.2	828,338,661.102	-854,000,000	2,315,189,412.2	1,966,338,661.102	348,850,751.097	0.877	-19.487	1	e8b701540e86
ABW	Aruba	2,017	135,000,000	1,124,000,000	40.712	69.637	69.08	0.557	2,147,231,005.576	876,611,457.78	-989,000,000	2,282,231,005.576	2,000,611,457.78	281,619,547.796	0.941	-6.123	1	5bccfd097be4
ABW	Aruba	2,018	194,000,000	1,232,000,000	43.526	68.409	70.416	-2.007	2,348,810,229.019	1,000,205,279.156	-1,038,000,000	2,542,810,229.019	2,232,205,279.156	310,604,949.862	0.924	3.514	1	7eaf77908500
ABW	Aruba	2,019	131,000,000	1,206,000,000	39.94	66.703	71.22	-4.517	2,407,828,353.705	994,556,885.182	-1,075,000,000	2,538,828,353.705	2,200,556,885.182	338,271,468.524	0.948	2.172	1	d6fafb81101f

Oct 6, 2026Current
20261006T081733Z-9b2da78e84b9 · sha256 9b2da78e84b9…
3,130 rows · -30 rows vs previous
Oct 6, 2026Quarantined
20261006T081628Z-698f90b4ca46 · sha256 698f90b4ca46…
3,160 rows · first snapshot
Not served: superseded within the same run: ingested before the HIC/LIC resolved-code aggregate gate was added; 29 aggregate rows mislabeled as countries

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_trade_panel_intel/merch_services_trade_annual" | jq '{title, rows, columns_count, license}'

Python

import requests

ds = requests.get("https://datazimuts.com/v1/datasets/wb_trade_panel_intel/merch_services_trade_annual").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_trade_panel_intel/merch_services_trade_annual

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 20261006T081733Z-9b2da78e84b9 and its content hash, so readers get exactly the data you used.

APA

World Bank WDI merchandise & services trade intelligence. (2026). Merchandise & services trade panel (World Bank WDI) [Data set, snapshot 20261006T081733Z-9b2da78e84b9, sha256 9b2da78e84b9]. Datazimuts. Retrieved 2026-10-06, from https://datazimuts.com/en/datasets/wb_trade_panel_intel/merch_services_trade_annual?snapshot=20261006T081733Z-9b2da78e84b9

BibTeX

@misc{dz_wb_trade_panel_intel_merch_services_trad_9b2da78e,
  title        = {{Merchandise \& services trade panel (World Bank WDI)}},
  author       = {{World Bank WDI merchandise \& services trade intelligence}},
  year         = {2026},
  publisher    = {Datazimuts},
  howpublished = {\url{https://datazimuts.com/en/datasets/wb_trade_panel_intel/merch_services_trade_annual?snapshot=20261006T081733Z-9b2da78e84b9}},
  note         = {Snapshot 20261006T081733Z-9b2da78e84b9, sha256 9b2da78e84b9f108e39f42769eaa03c0e29ce235b3c76a360848949bb1df60bd; accessed 2026-10-06}
}

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=wb_trade_panel_intel%2Fmerch_services_trade_annual&lang=en&theme=auto&snapshot=20261006T081733Z-9b2da78e84b9&x=year&y=year&agg=avg" title="Merchandise & services trade panel (World Bank WDI)" 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.

Merchandise & services trade panel (World Bank WDI)

Follow this dataset

Cite this snapshot

Embed a table or a chart

Use your own AI key