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series_id
large_stringclasses
59 values
date
date32
value
float64
-3.65
5,565B
APU0000702212
2025-11-01
2.638
APU0000702212
2025-12-01
2.677
APU0000702212
2026-01-01
2.729
APU0000702212
2026-02-01
2.687
APU0000702212
2026-03-01
2.747
APU0000702212
2026-04-01
2.735
APU0000702212
2026-05-01
2.814
APU000072511
2025-11-01
3.727
APU000072511
2025-12-01
3.66
APU000072511
2026-01-01
3.579
APU000072511
2026-02-01
3.99
APU000072511
2026-03-01
5.045
APU000072511
2026-04-01
5.291
APU000072511
2026-05-01
5.293
APU000072511
2026-06-01
4.713
APU000072511
2026-07-01
4.799
APU000072511
2026-08-01
5.145
APU000072511
2026-09-01
5.922
APU000074714
2025-11-01
3.228
APU000074714
2025-12-01
3.05
APU000074714
2026-01-01
2.961
APU000074714
2026-02-01
3.065
APU000074714
2026-03-01
3.843
APU000074714
2026-04-01
4.263
APU000074714
2026-05-01
4.651
APU000074714
2026-06-01
4.195
APU000074714
2026-07-01
4.094
APU000074714
2026-08-01
4.2
APU000074714
2026-09-01
4.482
APU000074716
2025-11-01
4.139
APU000074716
2025-12-01
3.958
APU000074716
2026-01-01
3.861
APU000074716
2026-02-01
3.983
APU000074716
2026-03-01
4.757
APU000074716
2026-04-01
5.19
APU000074716
2026-05-01
5.55
APU000074716
2026-06-01
5.15
APU000074716
2026-07-01
5.027
APU000074716
2026-08-01
5.134
APU000074716
2026-09-01
5.426
APU00007471A
2025-11-01
3.373
APU00007471A
2025-12-01
3.195
APU00007471A
2026-01-01
3.104
APU00007471A
2026-02-01
3.211
APU00007471A
2026-03-01
3.988
APU00007471A
2026-04-01
4.409
APU00007471A
2026-05-01
4.793
APU00007471A
2026-06-01
4.346
APU00007471A
2026-07-01
4.242
APU00007471A
2026-08-01
4.348
APU00007471A
2026-09-01
4.631
APUS12A74714
2025-11-01
3.092
APUS12A74714
2025-12-01
3.02
APUS12A74714
2026-01-01
2.93
APUS12A74714
2026-02-01
2.955
APUS12A74714
2026-03-01
3.617
APUS12A74714
2026-04-01
4.112
APUS12A74714
2026-05-01
4.554
APUS12A74714
2026-06-01
4.204
APUS12A74714
2026-07-01
4.074
APUS12A74714
2026-08-01
4.125
APUS12A74714
2026-09-01
4.428
APUS12A7471A
2025-11-01
3.246
APUS12A7471A
2025-12-01
3.176
APUS12A7471A
2026-01-01
3.082
APUS12A7471A
2026-02-01
3.107
APUS12A7471A
2026-03-01
3.76
APUS12A7471A
2026-04-01
4.249
APUS12A7471A
2026-05-01
4.692
APUS12A7471A
2026-06-01
4.352
APUS12A7471A
2026-07-01
4.223
APUS12A7471A
2026-08-01
4.275
APUS12A7471A
2026-09-01
4.574
APUS12B7471A
2025-11-01
3.26
APUS12B7471A
2025-12-01
3.144
APUS12B7471A
2026-01-01
3.039
APUS12B7471A
2026-02-01
3.108
APUS12B7471A
2026-03-01
3.799
APUS12B7471A
2026-04-01
4.241
APUS12B7471A
2026-05-01
4.655
APUS12B7471A
2026-06-01
4.25
APUS12B7471A
2026-07-01
4.195
APUS12B7471A
2026-08-01
4.229
APUS12B7471A
2026-09-01
4.563
APUS23A74714
2025-11-01
3.346
APUS23A74714
2025-12-01
3.113
APUS23A74714
2026-01-01
2.983
APUS23A74714
2026-02-01
3.075
APUS23A74714
2026-03-01
3.91
APUS23A74714
2026-04-01
4.444
APUS23A74714
2026-05-01
5.013
APUS23A74714
2026-06-01
4.337
APUS23A74714
2026-07-01
4.164
APUS23A74714
2026-08-01
4.347
APUS23A74714
2026-09-01
4.625
APUS23B74714
2025-11-01
3.042
APUS23B74714
2025-12-01
2.844
APUS23B74714
2026-01-01
2.8
APUS23B74714
2026-02-01
2.887
APUS23B74714
2026-03-01
3.595
End of preview. Expand in Data Studio

US macro data: Commodities (59 series)

59 commodities series from US government sources, cleaned into one consistent format and ready for pandas. This free package holds the last 12 months (2025-11-01 on) of each series' latest values. It is refreshed weekly.

import pandas as pd
df = pd.read_parquet("hf://datasets/FinzData/macro-commodities/data/long.parquet")      # series_id, date, value
wide = pd.read_parquet("hf://datasets/FinzData/macro-commodities/data/wide_daily.parquet")  # one column per series

or datasets.load_dataset("FinzData/macro-commodities"). Wide tables by frequency: wide_daily (7 series), wide_weekly (4 series), wide_monthly (37 series), wide_quarterly (11 series). series.csv lists every series with its title, units, frequency and how far back the full history goes.

The full history, point in time, through one API

The FinzData API serves every series back to its first observation, every revision (what was known on any past date, so backtests do not peek at later revisions), and daily updates, in the same format:

import finzdata as fz                     # pip install finzdata
c = fz.Client()                           # free API key: https://api.finzdata.com/
c.macro("MSPUS")                        # full history, latest values
c.macro("MSPUS", vintage="first")       # as first released
c.macro("MSPUS", as_of="2020-03-01")    # exactly what was known on that date
c.macro_series(category="commodities")          # the catalogue for this category

Most-watched series in this package

ID Title Units Frequency Full history from
MSPUS Median Sales Price of New Houses Sold for the United States Dollars Quarterly 1963
DCOILWTICO Crude Oil Prices: West Texas Intermediate (WTI) - Cushing, Oklahoma Dollars per Barrel Daily 1986
ASPUS Average Sales Price of Houses Sold for the United States Dollars Quarterly 1963
APU000074714 Average Price: Gasoline, Unleaded Regular (Cost per Gallon/3.785 Liters) in U.S. City Average U.S. Dollars Monthly 1976
DHHNGSP Henry Hub Natural Gas Spot Price Dollars per Million BTU Daily 1997
WTISPLC Spot Crude Oil Price: West Texas Intermediate (WTI) Dollars per Barrel Monthly 1946
MCOILWTICO Crude Oil Prices: West Texas Intermediate (WTI) - Cushing, Oklahoma Dollars per Barrel Monthly 1986
APU00007471A Average Price: Gasoline, All Types (Cost per Gallon/3.785 Liters) in U.S. City Average U.S. Dollars Monthly 1978
MHHNGSP Henry Hub Natural Gas Spot Price Dollars per Million BTU Monthly 1997
DHOILNYH No. 2 Heating Oil Prices: New York Harbor Dollars per Gallon Daily 1986
WCOILWTICO Crude Oil Prices: West Texas Intermediate (WTI) - Cushing, Oklahoma Dollars per Barrel Weekly, Ending Friday 1986
APU000072511 Average Price: Fuel Oil #2 per Gallon (3.785 Liters) in U.S. City Average U.S. Dollars Monthly 1978
IEAXGG Exports of Goods: Nonmonetary gold Millions of Dollars Quarterly 1999
DGASUSGULF Conventional Gasoline Prices: U.S. Gulf Coast, Regular Dollars per Gallon Daily 1986
FRDGBSAM Federal Reserve Bank Held Gold Bullion: On Display Fine Troy Ounces Monthly 2012
G20XTIMVA01CXMLQ International Merchandise Trade Statistics: Imports: Commodities for G20 US dollars, exchange rate converted Quarterly 2005
WHHNGSP Henry Hub Natural Gas Spot Price Dollars per Million BTU Weekly 1997
APUS12A74714 Average Price: Gasoline, Unleaded Regular (Cost per Gallon/3.785 Liters) in New York-Newark-Jersey City, NY-NJ-PA (CBSA) U.S. Dollars Monthly 1978
APUS48A74714 Average Price: Gasoline, Unleaded Regular (Cost per Gallon/3.785 Liters) in Phoenix-Mesa-Scottsdale, AZ (CBSA) U.S. Dollars Monthly 2018
DGASNYH Conventional Gasoline Prices: New York Harbor, Regular Dollars per Gallon Daily 1986
APU0000702212 Average Price: Bread, Whole Wheat, Pan (Cost per Pound/453.6 Grams) in U.S. City Average U.S. Dollars Monthly 1980
MNGLCP U.S. Natural Gas Liquid Composite Price Dollars per Million BTU Monthly 2009
APUS23B74716 Average Price: Gasoline, Unleaded Premium (Cost per Gallon/3.785 Liters) in Detroit-Warren-Dearborn, MI (CBSA) U.S. Dollars Monthly 1981
G20XTIMVA01CXMLSAQ International Merchandise Trade Statistics: Imports: Commodities for G20 US dollars, exchange rate converted Quarterly 1999
IPG211S Industrial Production: Mining: Oil and Gas Extraction (NAICS = 211) Index 2017=100 Monthly 1972

All 59 series: series.csv. Browse them at https://finzdata.com/macro/category/commodities.

More from FinzData

Source: U.S. government agencies via FRED/ALFRED (Federal Reserve Bank of St. Louis). Compiled by FinzData. Data for research, not investment advice.

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