Merchandise exports (current US$)
Merchandise exports in current U.S. dollars - goods whose economic ownership is changed from a resident to a non-resident, excluding merchanting, non-monetary gold, and parts of travel, construction, and government goods and services n.i.e. - for the 8-country panel (USA, Canada, UK, Germany, France, Japan, China, India). The World Bank publishes the indicator in the World Development Indicators from the World Trade Organization (WTO) Merchandise Trade Statistics database. Expressed in current prices (no adjustment for price changes over time), in U.S. dollars. It pairs with the connector's merchandise-imports dataset added alongside it: exports minus imports is the merchandise trade balance (China runs a large surplus throughout, e.g. +US$822.1B in 2023; the USA a large deficit, e.g. -US$1,150.2B in 2023). It also complements the connector's exports-of-goods-and-services dataset (merchandise only, services excluded). The 8-country panel is fully covered 2000-2025 with no upstream gaps observed - values are null where national statistics are unavailable and are never interpolated. Units: current US$.
- Source
- World Bank
- Rows
- 208
- Columns
- 4
- Source cadence
- Yearly
- Last refreshed
- Sep 24, 2026
- Theme
- trade
| Column | Type | Description |
|---|---|---|
| country_code | string | ISO 3166-1 alpha-3 country code (World Bank API field countryiso3code). |
| country_name | string | Country name as published by the World Bank API. |
| year | integer | Calendar year of the observation (World Bank API field date). |
| value | integer | Indicator value for the country and year, as defined by the World Bank indicator (see the dataset description). Missing values are null. (unit: current US$) |
First 10 sample rows — a preview, not the complete dataset.
| country_code | country_name | year | value |
|---|---|---|---|
| CAN | Canada | 2,000 | 276,635,000,000 |
| CAN | Canada | 2,001 | 259,858,000,000 |
| CAN | Canada | 2,002 | 252,394,000,000 |
| CAN | Canada | 2,003 | 272,739,000,000 |
| CAN | Canada | 2,004 | 316,762,000,000 |
| CAN | Canada | 2,005 | 360,475,000,000 |
| CAN | Canada | 2,006 | 388,178,000,000 |
| CAN | Canada | 2,007 | 420,693,000,000 |
| CAN | Canada | 2,008 | 456,471,000,000 |
| CAN | Canada | 2,009 | 316,094,000,000 |
Profiled Sep 24, 2026 from snapshot 20260924T182712Z-d5ac5404652e
Measured- Completeness
- 100%
- Rows
- 208
- Columns
- 4
- Columns with gaps
- 0
| Column | Missing | Distinct | Range | Distribution |
|---|---|---|---|---|
| country_codevarchar | 0% | 7 | — |
|
| country_namevarchar | 0% | 9 | — |
|
| yearbigint | 0% | 27 | 2,000 → 2,025median 2,013 | |
| valuebigint | 0% | 226 | 42,379,000,000 → 3,771,842,000,000median 576,182,000,000 | 6 outside 1st–99th percentile |
- Current
20260924T182712Z-d5ac5404652e · sha256 d5ac5404652e…
208 rows · first snapshot
Point any LLM at the metadata endpoint — the documentation above is machine-readable too (JSON-LD + Croissant).
curl "https://datazimuts.com/v1/datasets/world_bank/merchandise_exports_usd" | jq '{title, rows, columns_count, license}'import requests
ds = requests.get("https://datazimuts.com/v1/datasets/world_bank/merchandise_exports_usd").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/world_bank/merchandise_exports_usd
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 20260924T182712Z-d5ac5404652e and its content hash, so readers get exactly the data you used.
World Bank. (2026). Merchandise exports (current US$) [Data set, snapshot 20260924T182712Z-d5ac5404652e, sha256 d5ac5404652e]. Datazimuts. Retrieved 2026-09-24, from https://datazimuts.com/en/datasets/world_bank/merchandise_exports_usd?snapshot=20260924T182712Z-d5ac5404652e
@misc{dz_world_bank_merchandise_exports_usd_d5ac5404,
title = {{Merchandise exports (current US\$)}},
author = {{World Bank}},
year = {2026},
publisher = {Datazimuts},
howpublished = {\url{https://datazimuts.com/en/datasets/world_bank/merchandise_exports_usd?snapshot=20260924T182712Z-d5ac5404652e}},
note = {Snapshot 20260924T182712Z-d5ac5404652e, sha256 d5ac5404652ec1d0d61d2d0e4f9b18b8afb5b2a7935b5296e92472fe47de2e9e; accessed 2026-09-24}
}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.
<iframe src="https://datazimuts.com/embed/chart?dataset=world_bank%2Fmerchandise_exports_usd&lang=en&theme=auto&snapshot=20260924T182712Z-d5ac5404652e&x=year&y=year&agg=avg" title="Merchandise exports (current US$)" width="100%" height="380" style="border:0" loading="lazy"></iframe>
Ask about this dataset. Answers come only from its catalog record, measured profile and change history, and list the facts they used.