Coal rose to 142 USD/T on March 26, 2026, up 3.24% from the previous day. Over the past month, Coal's price has risen 19.83%, and is up 39.22% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Coal - values, historical data, forecasts and news - updated on March of 2026.

API2 Rotterdam coal futures amounted to *****U.S. dollars per 1,000 metric tons on October 27, 2025 for contracts with delivery in November 2025. API2 Rotterdam is a Europe-wide coal price benchmark. Import prices for thermal coal became more volatile following the Russia-Ukraine war and European Union sanctions on Russian coal imports. However, since 2024, the AP12 Rotterdam as well as the worldwide coal price index have been comparatively stable.

Coking Coal traded flat at 221 USD/T on February 20, 2026. Over the past month, Coking Coal's price has fallen 8.20%, but it is still 16.32% higher than a year ago, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. This dataset includes a chart with historical data for Coking Coal.

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The global coal price index reached 145.08 index points in September 2025. This was a decrease compared to the previous month, while the overall fuel energy price index decreased. The global coal index expresses trading of Australian and South African coal, as both countries are among the largest exporters of coal worldwide. How coal profited from the 2022 gas crunch Throughout 2022, coal prices saw a significant net increase. This was largely due to greater fuel and electricity demand as countries slowly exited more stringent coronavirus restrictions, as well as fallout from the Russia-Ukraine war. As many European countries moved to curtail gas imports from Russia, coal became the alternative to fill the power supply gap, more than doubling the annual average price index between 2021 and 2022. Main coal traders and receivers Although China makes up by far the largest share of worldwide coal production, it is among those countries consuming the majority of its extracted raw materials domestically. In terms of exports, Indonesia, the world's third-largest coal producer, trades more coal than any other country, followed by Australia and Russia. Meanwhile, Japan, China, and India are among the leading coal importers, as these countries rely heavily on coal for electricity and heat generation.

China Settlement Price: ZCE: Thermal Coal: 4th Month data was reported at 801.400 RMB/Ton in 27 Mar 2026. This stayed constant from the previous number of 801.400 RMB/Ton for 26 Mar 2026. China Settlement Price: ZCE: Thermal Coal: 4th Month data is updated daily, averaging 547.400 RMB/Ton from Sep 2013 (Median) to 27 Mar 2026, with 3037 observations. The data reached an all-time high of 1,732.400 RMB/Ton in 19 Oct 2021 and a record low of 288.600 RMB/Ton in 25 Nov 2015. China Settlement Price: ZCE: Thermal Coal: 4th Month data remains active status in CEIC and is reported by Zhengzhou Commodity Exchange. The data is categorized under China Premium Database’s Financial Market – Table CN.ZB: Zhengzhou Commodity Exchange: Commodity Futures: Settlement Price: Daily.

Newcastle thermal coal is forecast to have an average price of *** nominal U.S. dollars per metric ton for 2025. By the end of 2029, the Newcastle thermal coal price is expected to amount to ****** nominal U.S. dollars per metric ton.The Newcastle (NEWC) thermal price for coal is the benchmark for seaborne coal contracts within the Asia-Pacific region, which is home to the largest coal producing countries.

Tick (Bids | Asks | Trades | Settle) sample data for Rotterdam Coal QMA timestamped in Chicago time

Graph and download economic data for Global price of Coal, Australia (PCOALAUUSDM) from Jan 1992 to Feb 2026 about coal, Australia, World, and price.

It is forecast that the average price for hard coking coal in 2029 will be ****** nominal U.S. dollars per metric ton. Meanwhile, the average price for semi-soft coking coal is forecast to be ****** nominal U.S. dollars per metric ton that year.

First, domestic prices were measured based on the Polish Power Coal Market Index for sales to professional and industrial energy (PSCM1). Since 2017, coal prices in Poland have been steadily increasing, reaching the highest price of ****** zloty/metric ton in the third quarter of 2023. Global coal prices were measured by the ARA index (based on the prices of futures contracts in the ports of Amsterdam-Rotterdam-Antwerp). The ARA index has fallen since the third quarter of 2018, closing the second quarter of 2020 at *** zloty/metric tons. In the fourth quarter of 2024, coal prices were lower on the global market than on the Polish market (considering the current USD/PLN exchange rate), reaching over *** zloty per metric ton.

This dataset provides a comprehensive collection of time-series data related to economic indicators in Indonesia and global commodity markets, designed for insightful analysis into price trends, market dynamics, and consumer interest. The data spans various categories, offering a multi-faceted view of factors influencing commodity prices and economic behavior.

Data Categories and Contents:

The dataset is organized into several key categories: - Currency Exchange Rates * data/Mata Uang/: This directory contains historical daily exchange rate data for several currencies against the US Dollar, including Malaysian Ringgit (MYRUSD=X.csv), Singapore Dollar (SGDUSD=X.csv), Thai Baht (THBUSD=X.csv), and Indonesian Rupiah (USDIDR=X.csv). Each file typically includes columns such as Date, Price, Adj Close, Close, High, Low, and Volume.

• Indonesian Food Prices

  • data/Harga Bahan Pangan (Cleaned)/: This folder provides cleaned daily price data for essential food commodities across various provinces in Indonesia. Commodities include:

    • Shallots (Bawang Merah.csv)
    • Garlic (Bawang Putih Bonggol.csv)
    • Medium Rice (Beras Medium.csv)
    • Premium Rice (Beras Premium.csv)
    • Curly Red Chili (Cabai Merah Keriting.csv)
    • Red Cayenne Pepper (Cabai Rawit Merah.csv)
    • Broiler Chicken Meat (Daging Ayam Ras.csv)
    • Pure Beef (Daging Sapi Murni.csv)
    • Consumption Sugar (Gula Konsumsi.csv)
    • Bulk Cooking Oil (Minyak Goreng Curah.csv)
    • Simple Packaged Cooking Oil (Minyak Goreng Kemasan Sederhana.csv)
    • Chicken Eggs (Telur Ayam Ras.csv)
    • Bulk Wheat Flour (Tepung Terigu (Curah).csv) Each file contains daily prices (in Indonesian Rupiah) for individual provinces across Indonesia, with columns for Date and each province.

  • data/Harga Bahan Pangan/: This directory contains raw daily price data for various food commodities, organized by province in separate CSV files (e.g., Aceh.xlsx - Aceh.csv, Bali.xlsx - Bali.csv, Banten.xlsx - Banten.csv). These files likely contain similar price information as their "Cleaned" counterparts but might require additional processing.

• Google Trends Search Interest

  • data/Google Trend/: This extensive collection includes Google Trends search interest data for various commodities and their related terms, categorized by province and for Indonesia nationally. These files (e.g., tepung terigu/Aceh.csv, telur ayam/Indonesia.csv, minyak goreng/Bali.csv, gula/Jawa Barat.csv, daging sapi/DKI Jakarta.csv, daging ayam/Jawa Timur.csv, daging/Sumatera Utara.csv, cabai rawit/Indonesia.csv, cabai merah/Jawa Barat.csv, cabai/Jawa Tengah.csv, beras/Jawa Timur.csv, bawang putih/Jawa Tengah.csv, bawang merah/Jawa Barat.csv, bawang/DKI Jakarta.csv) show the popularity of search queries over time, with columns for Day and search interest values.

• Global Commodity Prices

  • data/Global Commodity Price/: This section includes historical futures data for key global commodities:
    • Crude Oil WTI (Crude Oil WTI Futures Historical Data.csv)
    • Natural Gas (Natural Gas Futures Historical Data.csv)
    • Newcastle Coal (Newcastle Coal Futures Historical Data.csv)
    • Palm Oil (Palm Oil Futures Historical Data.csv)
    • US Sugar #11 (US Sugar #11 Futures Historical Data.csv)
    • US Wheat (US Wheat Futures Historical Data.csv) These files provide daily data including Date, Price, Open, High, Low, Vol., and Change %.

Potential Use Cases:

This dataset can be utilized for a variety of analytical tasks, including:

• Time Series Analysis: Forecast future prices of food commodities, currencies, and global energy resources.
• Economic Impact Studies: Analyze the correlation between global commodity prices, currency exchange rates, and local food prices in Indonesia.
• Market Trend Analysis: Identify and visualize trends in consumer interest for specific food items using Google Trends data.
• Regional Economic Disparities: Compare food prices and search interest across different Indonesian provinces to identify regional variations.
• Predictive Modeling: Develop models to predict inflation, economic stability, or consumer behavior based on the interplay of these diverse data points.

The combination of local Indonesian market data with global commodity and search interest data makes this dataset particularly valuable for researchers and analysts interested in economic forecasting and market analysis.

Library of Wroclaw University of Science and Technology scientific output (DONA database)