The Average Residential Retail Propane Prices dataset provides New York residents and businesses with objective information on average residential retail propane pricing in New York State and by region beginning September 8, 1997. Pricing data is obtained via surveys conducted by New York State Energy Research and Development Authority (NYSERDA) staff on a weekly basis during heating season (September to March) and bi-weekly during the rest of the year. All prices are listed in dollars per gallon.

The Average Home Heating Oil Prices dataset, Average Residential Retail Kerosene Prices dataset, and Average Residential Retail Propane Prices dataset are collectively referred to as the Heating Fuel Prices dataset.

For current and historical residential retail price data, regional comparisons, and fuel type comparisons, please visit the Propane Prices Dashboard: https://www.nyserda.ny.gov/researchers-and-policymakers/energy-prices/propane/average-propane-prices

The New York State Energy Research and Development Authority (NYSERDA) offers objective information and analysis, innovative programs, technical expertise, and support to help New Yorkers increase energy efficiency, save money, use renewable energy, and reduce reliance on fossil fuels. To learn more about NYSERDA’s programs, visit nyserda.ny.gov or follow us on X, Facebook, YouTube, or Instagram.

This dataset contains weekly retail prices of three grades of gasoline, diesel, auto propane and compressed natural gas in 10 Ontario markets. Prices are in cents per litre (with compressed natural gas prices in cents per gasoline-equivalent litres). To view charts and current fuel price data you can also visit the motor fuel prices page. This data is related to: * Motor fuel prices * Law: Fuel Tax Act Related data: * Fuel and gasoline tax registrant list

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US Propane Market Size 2025-2029

The US propane market size is forecast to increase by USD 8.42 billion at a CAGR of 6.6% between 2024 and 2029.

The Propane market in the US is experiencing significant growth, driven by advancements in propane storage and transportation technologies. These innovations have increased the efficiency and safety of propane handling, making it an attractive alternative fuel for various industries, including residential, commercial, and industrial sectors. Furthermore, the development of renewable propane, derived from natural gas processing and biomass, is expanding the market's reach and reducing its carbon footprint. However, the market's growth is not without challenges. Competitive alternative fuels, such as natural gas and electricity, are gaining popularity due to their lower carbon emissions and increasing affordability. To capitalize on market opportunities and navigate these challenges effectively, companies must focus on improving propane's competitiveness through cost reduction, efficiency gains, and the adoption of cleaner production methods.
Additionally, collaboration with government agencies and industry associations to promote the use of propane as a clean and efficient fuel source can help mitigate competition and strengthen the market's strategic landscape.

What will be the size of the US Propane Market during the forecast period?

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The propane market in the US continues to evolve, driven by various factors including propane technology advancements, alternative fuel infrastructure development, and grid modernization projects. Propane's versatility as an energy source, coupled with its environmental sustainability initiatives such as emission reduction and renewable energy integration, positions it as a key player in the energy transition. Propane's adoption is further boosted by smart grid deployment and energy efficiency standards, as well as the increasing focus on energy security policies and sustainable development goals. Propane's competition with natural gas and the emergence of alternative fuels like hydrogen and biodiesel, as well as electric vehicle infrastructure, necessitate continuous innovation and cost savings through propane efficiency improvements, system maintenance, and demand forecasting.
Propane's role in clean energy investments, carbon offsetting programs, and carbon capture technologies also contribute to its market outlook. Propane's price volatility, safety training, and delivery logistics remain critical areas of focus, while regulations compliance and appliance repair are essential for maintaining consumer trust and market growth. Overall, the propane market's future direction is influenced by the interplay of these factors and the evolving energy landscape.

How is this market segmented?

The market research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

End-user

  Industrial
  Commercial
  Residential
  Others


Grade Type

  HD-5 propane
  HD-10 propane
  Commercial propane


Type

  Gas
  Liquid


Application

  Heating
  Cooking
  Power Generation
  Motor Fuel
  Industrial Processes
  Others


Geography

  US

By End-user Insights

The industrial segment is estimated to witness significant growth during the forecast period.

Propane, a versatile energy source, plays a significant role in various industries and applications in the US. Its demand is influenced by economic activity, particularly in manufacturing and construction sectors, where propane is used for heating, processing, and other applications. Cold weather increases the demand for propane in industries such as agriculture, food processing, and construction, which rely on it for heating and drying. Seasonal fluctuations in weather patterns also impact short-term demand. Propane competes with other energy sources, including natural gas, electricity, and heating oil. The relative cost of propane versus these alternatives influences demand.

Propane is also used in various applications, such as forklifts, buses, generators, cooking, and heating, offering energy security and independence. Propane innovation continues to drive the market, with advancements in green technology, energy storage, carbon capture, and renewable fuels. Sustainable development and environmental sustainability are key considerations, with regulations focusing on reducing greenhouse gas emissions and improving energy efficiency. The market also includes propane retailers, suppliers, and distributors, offering various services such as fueling, delivery, and conversion. The industrial sector's demand for propane is expected to remain strong, driven by its versatility, efficiency, and competitiveness.

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Canada Avg Price: Auto Propane: Retail excl Taxes: Volume Weighted data was reported at 0.748 CAD/l in Jul 2018. This records an increase from the previous number of 0.745 CAD/l for Jun 2018. Canada Avg Price: Auto Propane: Retail excl Taxes: Volume Weighted data is updated monthly, averaging 0.461 CAD/l from Jan 1991 (Median) to Jul 2018, with 331 observations. The data reached an all-time high of 0.912 CAD/l in Feb 2014 and a record low of 0.180 CAD/l in Feb 1992. Canada Avg Price: Auto Propane: Retail excl Taxes: Volume Weighted data remains active status in CEIC and is reported by Kent Group Ltd.. The data is categorized under Global Database’s Canada – Table CA.P006: Average Price: Automotive Natural Gas and Propane.

Find in-season and off-season pricing for heating fuels, including heating oil, propane and wood price surveys by DOER. Links to electric and natural gas rates also available here.

The Average Home Heating Oil Prices dataset provides New York residents and businesses with objective information on average residential retail heating fuel oil pricing in New York State and by region beginning September 8, 1997. Pricing data is obtained via surveys conducted by NYSERDA staff on a weekly basis during heating season (September to March) and bi-weekly during the rest of the year. All prices are listed in dollars per gallon.

The Average Home Heating Oil Prices dataset, Average Residential Retail Kerosene Prices dataset, and Average Residential Retail Propane Prices dataset are collectively referred to as the Heating Fuel Prices dataset.

For current and historical residential retail price data, regional comparisons, and fuel type comparisons, please visit the Home Heating Oil Prices Dashboard: https://www.nyserda.ny.gov/Researchers-and-Policymakers/Energy-Prices/Home-Heating-Oil/Average-Home-Heating-Oil-Prices

The New York State Energy Research and Development Authority (NYSERDA) offers objective information and analysis, innovative programs, technical expertise, and support to help New Yorkers increase energy efficiency, save money, use renewable energy, accelerate economic growth, and reduce reliance on fossil fuels. To learn more about NYSERDA’s programs, visit nyserda.ny.gov or follow us on X, Facebook, YouTube, or Instagram.

The global fuel energy price index stood at 166.79 index points in May 2025, up from 100 in the base year 2016. Figures increased that month due to greater demand for motor fuels and cooling. The fuel energy index includes prices for crude oil, natural gas, coal, and propane. Supply constraints across multiple commodities The global natural gas price index surged nearly 11-fold, and the global coal price index rose almost seven-fold from summer 2020 to summer 2022. This notable escalation was largely attributed to the Russia-Ukraine war, exerting increased pressure on the global supply chain. Tariffs bring economic uncertainty With the global economy having adjusted to the effects of the Russia-Ukraine war, new uncertainty has emerged due to tariffs imposed by the Trump administration. If these tariffs are fully implemented, global trade could be significantly disrupted, mainly the bilateral trade between the world’s two largest economies. In 2025, import tariffs between China and the United States exceeded 130 percent on both sides, while their tariffs on imports from the rest of the world were around 10 percent. U.S. tariffs on Chinese imported goods reached a high of 134.7 percent in April of that year, while China imposed a 147.6 percent tariff on U.S. goods. Early estimates indicate that the impact of Trump’s proposed tariffs on the U.S. economy could amount to 0.4 percent of GDP, mainly driven by the reduced trade with Mexico, Canada and China.

The average monthly price for natural gas in the United States amounted to **** nominal U.S. dollars per million British thermal units (Btu) in May 2025. By contrast, natural gas prices in Europe were about three times higher than those in the U.S. Prices in Europe tend to be notably higher than those in the U.S. as the latter benefits from being a major hydrocarbon producer. Europe's import reliance European prices for natural gas rose most notable throughout the second half of 2021 and much of 2022, peaking at over ** U.S. dollars per million Btu in August 2022. The sharp rise was due to supply chain issues and economic strain following the COVID-19 pandemic, which was further exacerbated by Russia’s invasion of Ukraine in early 2022. As a result of the war, many countries began looking for alternative sources, and Russian pipeline gas imports to the European Union declined as a result. Meanwhile, LNG was a great beneficiary, with LNG demand in Europe rising by more than ** percent between 2021 and 2023. How domestic natural gas production shapes prices As intimated, the United States’ position among the leaders of worldwide natural gas production is one of the main reasons for why prices for this commodity are so low across the country. In 2023, the U.S. produced more than ************ cubic meters of natural gas, which allays domestic demand and allows for far lower purchasing prices.

Saudi Arabia Fuel Prices: Retail: LPG data was reported at 1.040 SAR/l in Apr 2025. This stayed constant from the previous number of 1.040 SAR/l for Mar 2025. Saudi Arabia Fuel Prices: Retail: LPG data is updated monthly, averaging 0.900 SAR/l from Jul 2020 (Median) to Apr 2025, with 58 observations. The data reached an all-time high of 1.040 SAR/l in Apr 2025 and a record low of 0.750 SAR/l in May 2022. Saudi Arabia Fuel Prices: Retail: LPG data remains active status in CEIC and is reported by Saudi Arabian Oil Company. The data is categorized under Global Database’s Saudi Arabia – Table SA.P016: Fuel Prices. [COVID-19-IMPACT]

In the fourth quarter of 2024, the Saudi CP made up the largest component of average retail LPG prices in Australia, accounting for a ** percent share. Some of Australia's LPG fuel demand must be imported from international markets as its local refining capacity cannot produce all of the country's fuel needs.

Explore the 2026 propane market: growth drivers, global size forecasts, price trends & key players. Learn what shapes future demand & trade dynamics.

This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

SPH Suburban Propane Partners L.P. Common Stock

Financial data:

• Historical daily stock prices (open, high, low, close, volume)

• Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

• Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

Machine learning features:

• Feature engineering based on financial data and technical indicators

• Sentiment analysis data from social media and news articles

• Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

• Researchers investigating the effectiveness of machine learning in stock market prediction

• Analysts developing quantitative trading Buy/Sell strategies

• Individuals interested in building their own stock market prediction models

• Students learning about machine learning and financial applications

Additional Notes:

• The dataset may include different levels of granularity (e.g., daily, hourly)

• Data cleaning and preprocessing are essential before model training

• Regular updates are recommended to maintain the accuracy and relevance of the data

Indonesia Retail Price: Fuel: LPG: 12 KG data was reported at 11,583.000 IDR/kg in Jul 2019. This stayed constant from the previous number of 11,583.000 IDR/kg for Jun 2019. Indonesia Retail Price: Fuel: LPG: 12 KG data is updated monthly, averaging 5,850.000 IDR/kg from Jan 2005 (Median) to Jul 2019, with 175 observations. The data reached an all-time high of 11,750.000 IDR/kg in Dec 2018 and a record low of 4,250.000 IDR/kg in Jun 2008. Indonesia Retail Price: Fuel: LPG: 12 KG data remains active status in CEIC and is reported by Pertamina. The data is categorized under Global Database’s Indonesia – Table ID.PC001: Retail Price: By Major Commodities. Competitive price of oil & gas stations in Jakarta only Harga kompetitif stasiun pengisian bahan bakar umum (SPBU) di Jakarta.

This dataset contains weekly retail prices of three grades of gasoline, diesel, auto propane and compressed natural gas in 10 Ontario markets. Prices are in cents per litre (with compressed natural gas prices in cents per gasoline-equivalent litres). To view charts and current fuel price data you can also visit the motor fuel prices page. This data is related to: * Motor fuel prices * Law: Fuel Tax Act Related data: * Fuel and gasoline tax registrant list

The Puerto Rican liquefied petroleum gas (LPG) market totaled less than $X in 2021, approximately reflecting the previous year. This figure reflects the total revenues of producers and importers (excluding logistics costs, retail marketing costs, and retailers' margins, which will be included in the final consumer price). Over the period under review, consumption saw a relatively flat trend pattern.

This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

LPG Industry Outlook: Will Demand Outweigh Supply?

Financial data:

• Historical daily stock prices (open, high, low, close, volume)

• Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

• Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

Machine learning features:

• Feature engineering based on financial data and technical indicators

• Sentiment analysis data from social media and news articles

• Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

• Researchers investigating the effectiveness of machine learning in stock market prediction

• Analysts developing quantitative trading Buy/Sell strategies

• Individuals interested in building their own stock market prediction models

• Students learning about machine learning and financial applications

Additional Notes:

• The dataset may include different levels of granularity (e.g., daily, hourly)

• Data cleaning and preprocessing are essential before model training

• Regular updates are recommended to maintain the accuracy and relevance of the data

This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

Dorian LPG Analysts Anticipate Positive Trajectory for (LPG) Shares

Financial data:

• Historical daily stock prices (open, high, low, close, volume)

• Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

• Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

Machine learning features:

• Feature engineering based on financial data and technical indicators

• Sentiment analysis data from social media and news articles

• Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

• Researchers investigating the effectiveness of machine learning in stock market prediction

• Analysts developing quantitative trading Buy/Sell strategies

• Individuals interested in building their own stock market prediction models

• Students learning about machine learning and financial applications

Additional Notes:

• The dataset may include different levels of granularity (e.g., daily, hourly)

• Data cleaning and preprocessing are essential before model training

• Regular updates are recommended to maintain the accuracy and relevance of the data

Indonesia Retail Price: Fuel: Subsidized: LPG 3 KG data was reported at 5,333.000 IDR/kg in Jul 2019. This stayed constant from the previous number of 5,333.000 IDR/kg for Jun 2019. Indonesia Retail Price: Fuel: Subsidized: LPG 3 KG data is updated monthly, averaging 4,250.000 IDR/kg from Jan 2007 (Median) to Jul 2019, with 151 observations. The data reached an all-time high of 5,333.000 IDR/kg in Jul 2019 and a record low of 4,250.000 IDR/kg in Dec 2018. Indonesia Retail Price: Fuel: Subsidized: LPG 3 KG data remains active status in CEIC and is reported by Pertamina. The data is categorized under Global Database’s Indonesia – Table ID.PC001: Retail Price: By Major Commodities. Price from Pertamina to gas agency level (tingkat agen) in Jakarta area only and not the price in gas terminal level (tingkat pangkalan) in Jakarta. Harga dari Pertamina ke tingkat agen di wilayah Jakarta, dan bukan harga di tingkat pangkalan di wilayah Jakarta.

In 2024, the Ghanian liquefied petroleum gas (LPG) market decreased by -8.8% to $200M for the first time since 2016, thus ending a seven-year rising trend. Overall, consumption, however, saw a pronounced increase. Liquefied petroleum gas (LPG) consumption peaked at $219M in 2023, and then shrank in the following year.

This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

LPG Dorian LPG Ltd. Common Stock

Financial data:

• Historical daily stock prices (open, high, low, close, volume)

• Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

• Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

Machine learning features:

• Feature engineering based on financial data and technical indicators

• Sentiment analysis data from social media and news articles

• Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

• Researchers investigating the effectiveness of machine learning in stock market prediction

• Analysts developing quantitative trading Buy/Sell strategies

• Individuals interested in building their own stock market prediction models

• Students learning about machine learning and financial applications

Additional Notes:

• The dataset may include different levels of granularity (e.g., daily, hourly)

• Data cleaning and preprocessing are essential before model training

• Regular updates are recommended to maintain the accuracy and relevance of the data