Name: US traded-goods price intelligence (monthly)
Creator: U.S. Bureau of Labor Statistics
License: https://www.bls.gov/opub/copyright-information.htm
Keywords: us, trade, prices, imports, exports, monthly, macroeconomics, signals

Monthly US traded-goods price intelligence from the BLS Import/Export Price Indexes BEA end-use program (keyless BLS Public Data API v2): not-seasonally-adjusted import and export price indexes (2000=100) for the all-commodities headline plus five end-use categories, with MoM / YoY / 3-month-annualized percent changes, implied terms of trade per category (export/import x 100) with point changes, a documented 0-100 price-pressure score with per-(month, flow) ranks, rising / falling / rapid-rise / 12-month-record-low/high flags, and month-level context: headline import / export / terms-of-trade gauges plus rising-category breadth. Consistent methodology window 2017-01 onward. Caveats: the latest month is preliminary and routinely revised; series are not seasonally adjusted. BLS material is public domain (commercial reuse allowed); source: U.S. Bureau of Labor Statistics.

Source: U.S. Bureau of Labor Statistics
Rows: 1,392
Columns: 29
Source cadence: Monthly
Last refreshed: Sep 27, 2026
Theme: economy

Column	Type	Description
month	string	Reference month: first day of the month, ISO date. The panel covers the consistent methodology window 2017-01 onward (the 2017 fetch year supplies the 12-month lags). (unit: ISO date)
country_code	string	ISO alpha-3 country code (USA for every row). (unit: ISO 3166-1 alpha-3)
flow	string	Trade flow: import or export. Primary grain with end_use_code and month.
end_use_code	string	BEA end-use category code: all (headline), 0 = foods/feeds/beverages, 1 = industrial supplies & materials, 2 = capital goods, 3 = automotive, 4 = consumer goods.
end_use_name	string	BLS catalog Item field value for the end-use category.
index_value	float	Published not-seasonally-adjusted price index, kept verbatim as published. (unit: index (2000=100))
mom_pct	float	Month-over-month percent change of the index. (unit: percent)
yoy_pct	float	Year-over-year percent change of the index. (unit: percent)
mom3m_ann_pct	float	3-month change of the index, annualized: ((idx/idx-3)^4 - 1) * 100. (unit: percent)
tot_index	float	Implied terms of trade for the end-use category: 100 * export index / import index. Above 100 means the U.S. sells dearer than it buys that month. (unit: index)
tot_mom_pts	float	Month-over-month change of tot_index, in index points (not percent). (unit: index points)
tot_yoy_pts	float	Year-over-year change of tot_index, in index points (not percent). (unit: index points)
price_pressure_score	float	Documented 0-100 composite: 100 * (0.50 * min-max(winsorized yoy_pct, -10..+10) + 0.50 * min-max(winsorized mom_pct, -3..+3)), min-maxed within each (month, flow) peer group. Imports: high = import prices running hot (terms-of-trade deterioration pressure). Exports: high = export prices running hot (export pricing power). (unit: 0-100 score)
pressure_rank	integer	Per-(month, flow) rank of price_pressure_score across the six items (1 = hottest price pressure). (unit: rank)
rising_flag	integer	1 when mom_pct is positive (index rose this month). (unit: binary)
falling_flag	integer	1 when mom_pct is negative (index fell this month). (unit: binary)
rapid_rise_flag	integer	1 when mom_pct >= 1.0 (sharp monthly price jump). (unit: binary)
record_low_12m_flag	integer	1 when the index equals the trailing-12-month minimum (inclusive, minimum 12 observations). (unit: binary)
record_high_12m_flag	integer	1 when the index equals the trailing-12-month maximum (inclusive, minimum 12 observations). (unit: binary)
headline_import_index	float	Month-level context: all-commodities import price index. (unit: index (2000=100))
headline_export_index	float	Month-level context: all-commodities export price index. (unit: index (2000=100))
headline_tot_index	float	Month-level context: headline implied terms of trade (100 * headline export index / headline import index). (unit: index)
headline_import_yoy_pct	float	Month-level context: YoY percent change of the headline import index. (unit: percent)
headline_export_yoy_pct	float	Month-level context: YoY percent change of the headline export index. (unit: percent)
headline_tot_yoy_pts	float	Month-level context: YoY change of the headline terms of trade, in index points. (unit: index points)
n_categories_rising_imports	integer	Month-level context: how many of the five non-headline import categories rose that month (breadth gauge). (unit: count)
n_categories_rising_exports	integer	Month-level context: how many of the five non-headline export categories rose that month (breadth gauge). (unit: count)
bls_series_id	string	BLS series id behind the row (EIUIR/EIUIQ + end-use code).
row_hash	string	Deterministic 16-hex row hash of flow + end_use_code + month (idempotency).

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

month	country_code	flow	end_use_code	end_use_name	index_value	mom_pct	yoy_pct	mom3m_ann_pct	tot_index	tot_mom_pts	tot_yoy_pts	price_pressure_score	pressure_rank	headline_import_index	headline_export_index	headline_tot_index	headline_import_yoy_pct	headline_export_yoy_pct	headline_tot_yoy_pts	bls_series_id	row_hash
2017-01-01	USA	export	0	Foods, feeds, & beverages	177.5	—	—	—	100.282	—	—	50	1	122.3	121.6	99.428	—	—	—	EIUIQ0	d2ee5b0217fb283a
2017-01-01	USA	export	1	Industrial supplies & materials	146.6	—	—	—	87.106	—	—	50	1	122.3	121.6	99.428	—	—	—	EIUIQ1	0f4598f408e9ec46
2017-01-01	USA	export	2	Capital goods	107.1	—	—	—	120.88	—	—	50	1	122.3	121.6	99.428	—	—	—	EIUIQ2	34b35909b8c49924
2017-01-01	USA	export	3	Automotive vehicles, parts & engines	113.1	—	—	—	102.725	—	—	50	1	122.3	121.6	99.428	—	—	—	EIUIQ3	07d1f37d88cf84cb
2017-01-01	USA	export	4	Consumer goods, excluding automotives	107.7	—	—	—	100.748	—	—	50	1	122.3	121.6	99.428	—	—	—	EIUIQ4	d151ff4f75d9cc51
2017-01-01	USA	export	all	All commodities	121.6	—	—	—	99.428	—	—	50	1	122.3	121.6	99.428	—	—	—	EIUIQ	fb1fae5fd9a36029
2017-01-01	USA	import	0	Foods, feeds, & beverages	177	—	—	—	100.282	—	—	50	1	122.3	121.6	99.428	—	—	—	EIUIR0	01d704e0489f3e27
2017-01-01	USA	import	1	Industrial supplies & materials	168.3	—	—	—	87.106	—	—	50	1	122.3	121.6	99.428	—	—	—	EIUIR1	bf968b59ef99e07e
2017-01-01	USA	import	2	Capital goods	88.6	—	—	—	120.88	—	—	50	1	122.3	121.6	99.428	—	—	—	EIUIR2	550e61339b487aad
2017-01-01	USA	import	3	Automotive vehicles, parts & engines	110.1	—	—	—	102.725	—	—	50	1	122.3	121.6	99.428	—	—	—	EIUIR3	0069d92fd7ec1432

Sep 27, 2026Current
20260927T161108Z-215b2d40f60e · sha256 215b2d40f60e…
1,392 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/bls_traded_goods_price_intel/us_traded_goods_price_monthly" | jq '{title, rows, columns_count, license}'

Python

import requests

ds = requests.get("https://datazimuts.com/v1/datasets/bls_traded_goods_price_intel/us_traded_goods_price_monthly").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/bls_traded_goods_price_intel/us_traded_goods_price_monthly

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 20260927T161108Z-215b2d40f60e and its content hash, so readers get exactly the data you used.

APA

U.S. Bureau of Labor Statistics. (2026). US traded-goods price intelligence (monthly) [Data set, snapshot 20260927T161108Z-215b2d40f60e, sha256 215b2d40f60e]. Datazimuts. Retrieved 2026-09-27, from https://datazimuts.com/en/datasets/bls_traded_goods_price_intel/us_traded_goods_price_monthly?snapshot=20260927T161108Z-215b2d40f60e

BibTeX

@misc{dz_bls_traded_goods_price_intel_us_traded_g_215b2d40,
  title        = {{US traded-goods price intelligence (monthly)}},
  author       = {{U.S. Bureau of Labor Statistics}},
  year         = {2026},
  publisher    = {Datazimuts},
  howpublished = {\url{https://datazimuts.com/en/datasets/bls_traded_goods_price_intel/us_traded_goods_price_monthly?snapshot=20260927T161108Z-215b2d40f60e}},
  note         = {Snapshot 20260927T161108Z-215b2d40f60e, sha256 215b2d40f60e50c58963414a29d6041b851be6eefadc55fc579f7c4d5497b27a; accessed 2026-09-27}
}

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