LNG Price History: Monthly Japan Import Price Since 1992

Liquefied natural gas (LNG) lets gas move by ship between regions that pipelines cannot connect, and Japan was long the world’s largest importer. This dataset tracks the IMF Primary Commodity Prices benchmark, the Japan LNG import (CIF) price, published monthly in US dollars per million British thermal units (MMBtu) and distributed via FRED under the code PNGASJPUSDM, with continuous coverage since 1992. Australia, Qatar, and the US are the largest exporters; Japan, China, and South Korea the largest importers.

Dataset: LNG (Japan) Price (1992–2026) · Updated 2026-03-01

Source: IMF Primary Commodity Prices · International Monetary Fund (via FRED)

Macro Takeaway

Dataset Overview

Dataset Variables

The CSV and Excel files contain the following columns. Each row represents one calendar month.

Column names match the CSV headers exactly.

Download the Complete Dataset

The full dataset is available in CSV and Excel formats — monthly observations covering more than three decades.

FRED Direct CSV Access

The underlying data is published in the Federal Reserve Economic Data (FRED) database under the series code PNGASJPUSDM, sourced from the IMF Primary Commodity Prices dataset:

https://fred.stlouisfed.org/graph/fredgraph.csv?id=PNGASJPUSDM

The Eco3min dataset mirrors the same monthly series, packaged in a stable, versionable CSV with consistent column names — designed for direct ingestion in Python, R, or any data pipeline. The URL never changes, making it suitable for automated scripts.

Direct CSV Access — Eco3min Structured Dataset

https://eco3min.fr/dataset/lng-japan-price.csv

This URL returns the complete dataset in CSV format. It can be used directly in pandas, R, curl, or any data tool.

Using the Dataset in Python

import pandas as pd

url = "https://eco3min.fr/dataset/lng-japan-price.csv"
df = pd.read_csv(url, parse_dates=["date"])

print(df.head())
print(df["lng_price"].describe())

df.plot(x="date", y="lng_price", title="LNG (Japan) Price", legend=False)

Using the Dataset in R

library(readr)

url <- "https://eco3min.fr/dataset/lng-japan-price.csv"
df <- read_csv(url)

head(df)
summary(df$lng_price)

Both examples load the dataset directly from the URL — no download or API key required.

Methodology

The IMF reports the LNG price in US dollars per million British thermal units (MMBtu), based on the Japan import (CIF) price.

Values are monthly averages, which smooth the intra-month swings visible in daily futures and physical quotes. The series begins in 1992.

This dataset is updated monthly via an automated pull from the FRED API (series PNGASJPUSDM) by an Eco3min pipeline running on GitHub Actions, which regenerates the cleaned CSV and Excel files and refreshes the page metadata.

Data Quality & Provider Notes

The IMF/benchmark price is a widely cited physical-market reference. A few provider-specific points matter when using this series.

• Release latency. The IMF publishes Primary Commodity Prices monthly, typically in the first week of the following month. FRED ingests the update shortly after, and Eco3min mirrors it with a monthly pull. The series is not a real-time price.
• Monthly average vs futures spot. This series is a monthly average. It will differ from any single exchange settlement, and a monthly average necessarily understates intra-month peaks.
• Revisions. Prices are market-derived and not subject to the vintage revisions of survey-based macro series, though the IMF can restate recent observations.
• Alternative sources. ICE futures and the originating auction or indicator bodies provide higher-frequency or contract-specific quotes.

Common Pitfalls When Using This Series

1. Confusing nominal and real prices. This series is nominal. Comparing an early-1990s reading to a recent one without adjusting for cumulative inflation overstates the real change. Deflating by CPI gives the true purchasing-power move.
2. Reading the monthly average as a market price. Headlines quote exchange futures; this dataset reports the monthly benchmark average. The two diverge most during fast-moving rallies.
3. Unit confusion. This series is the Japan landed (CIF) LNG import price in USD/MMBtu; it has historically been largely oil-indexed (tied to the JCC crude marker), so it tracks oil more than gas hubs, and it differs from the Asian spot marker (JKM).

Historical Regimes

1992–2008 — Oil-indexed era. Japan LNG was sold on long-term, oil-linked contracts, so it tracked crude oil, rising into the 2008 oil peak.

2009–2014 — Post-Fukushima surge. After the 2011 Fukushima disaster shut Japan’s nuclear fleet, LNG demand and prices surged to fill the gap.

2015–2020 — Glut and decline. A wave of new Australian and US export capacity created a global glut, and prices fell, bottoming during the 2020 pandemic.

2021–2022 — Global crisis. The energy crisis and Europe’s scramble for cargoes drove Asian LNG to record highs as regions competed for supply.

2023–2026 — Normalisation. New supply and milder demand eased prices, though they remain sensitive to global shocks.

Related Macroeconomic Datasets

Commodity Price Hub

This dataset is part of the Eco3min commodity price repository — energy, metals, agricultural softs, and grains, all sourced from IMF Primary Commodity Prices via FRED.

Explore the Commodity Price Hub

Sources

• International Monetary Fund — Primary Commodity Prices, Global Price of LNG (Japan)
• Federal Reserve Bank of St. Louis — FRED database, series PNGASJPUSDM
• Japan LNG import (CIF) price — basis underlying the IMF series

Dataset Reference

Eco3min Research. (2026). LNG (Japan) Price — Global Monthly Price (1992-2026). Source: IMF Primary Commodity Prices via FRED.<br> https://eco3min.fr/en/lng-japan-price-history-dataset/