Gasoline Prices in Puerto Rico increased to 0.77 USD/Liter in November from 0.74 USD/Liter in October of 2025. This dataset provides the latest reported value for - Puerto Rico Gasoline Prices - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

This dataset provides values for GASOLINE PRICES reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

As of July 2023, Puerto Rico was the market with the highest gasoline purchasing power in Latin America and the Caribbean. At that point in time, an average salary in this Latin American nation could buy ***** liters of gasoline. Ecuador followed in second, with a purchasing power of *** liters of gasoline per average net salary. Meanwhile, Cuba had the worst result in the region - the average Cuban salary could only afford ** liters of gasoline.

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.

Statistics illustrates consumption, production, prices, and trade of Liquefied Petroleum Gas (LPG) in Puerto Rico from Jan 2019 to Oct 2025.

Statistics illustrates consumption, production, prices, and trade of Gas Supply or Production Meters in Puerto Rico from 2007 to 2024.

Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

This report provides an in-depth analysis of the wood fuel market in Puerto Rico.

Statistics illustrates consumption, production, prices, and trade of Heaters; instantaneous gas water heaters, for domestic or other purposes in Puerto Rico from Jan 2019 to Sep 2025.

Key Table Information.Table Title.Annual Other Fuel Costs.Table ID.ACSDT1Y2024.B25135.Survey/Program.American Community Survey.Year.2024.Dataset.ACS 1-Year Estimates Detailed Tables.Source.U.S. Census Bureau, 2024 American Community Survey, 1-Year Estimates.Dataset Universe.The dataset universe of the American Community Survey (ACS) is the U.S. resident population and housing. For more information about ACS residence rules, see the ACS Design and Methodology Report. Note that each table describes the specific universe of interest for that set of estimates..Methodology.Unit(s) of Observation.American Community Survey (ACS) data are collected from individuals living in housing units and group quarters, and about housing units whether occupied or vacant. For more information about ACS sampling and data collection, see the ACS Design and Methodology Report..Geography Coverage.ACS data generally reflect the geographic boundaries of legal and statistical areas as of January 1 of the estimate year. For more information, see Geography Boundaries by Year.Estimates of urban and rural populations, housing units, and characteristics reflect boundaries of urban areas defined based on 2020 Census data. As a result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization..Sampling.The ACS consists of two separate samples: housing unit addresses and group quarters facilities. Independent housing unit address samples are selected for each county or county-equivalent in the U.S. and Puerto Rico, with sampling rates depending on a measure of size for the area. For more information on sampling in the ACS, see the Accuracy of the Data document..Confidentiality.The Census Bureau has modified or suppressed some estimates in ACS data products to protect respondents' confidentiality. Title 13 United States Code, Section 9, prohibits the Census Bureau from publishing results in which an individual's data can be identified. For more information on confidentiality protection in the ACS, see the Accuracy of the Data document..Technical Documentation/Methodology.Information about the American Community Survey (ACS) can be found on the ACS website. Supporting documentation including code lists, subject definitions, data accuracy, and statistical testing, and a full list of ACS tables and table shells (without estimates) can be found on the Technical Documentation section of the ACS website.Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American Community Survey website in the Methodology section.Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted roughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see ACS Technical Documentation). The effect of nonsampling error is not represented in these tables.Users must consider potential differences in geographic boundaries, questionnaire content or coding, or other methodological issues when comparing ACS data from different years. Statistically significant differences shown in ACS Comparison Profiles, or in data users' own analysis, may be the result of these differences and thus might not necessarily reflect changes to the social, economic, housing, or demographic characteristics being compared. For more information, see Comparing ACS Data..Weights.ACS estimates are obtained from a raking ratio estimation procedure that results in the assignment of two sets of weights: a weight to each sample person record and a weight to each sample housing unit record. Estimates of person characteristics are based on the person weight. Estimates of family, household, and housing unit characteristics are based on the housing unit weight. For any given geographic area, a characteristic total is estimated by summing the weights assigned to the persons, households, families or housing units possessing the characteristic in the geographic area. For more information on weighting and estimation in the ACS, see the Accuracy of the Data document.Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, the decennial census is the official source of population totals for April 1st of each decennial year. In between censuses, the Census Bureau's Population Estimates Program produces and disseminates the official estimates of the population for the nation, states, counties, cities, and towns and estimates of housi...

Statistics illustrates consumption, production, prices, and trade of Wood Fuel in Puerto Rico from 2007 to 2024.

Key Table Information.Table Title.Allocation of House Heating Fuel.Table ID.ACSDT1Y2024.B992511.Survey/Program.American Community Survey.Year.2024.Dataset.ACS 1-Year Estimates Detailed Tables.Source.U.S. Census Bureau, 2024 American Community Survey, 1-Year Estimates.Dataset Universe.The dataset universe of the American Community Survey (ACS) is the U.S. resident population and housing. For more information about ACS residence rules, see the ACS Design and Methodology Report. Note that each table describes the specific universe of interest for that set of estimates..Methodology.Unit(s) of Observation.American Community Survey (ACS) data are collected from individuals living in housing units and group quarters, and about housing units whether occupied or vacant. For more information about ACS sampling and data collection, see the ACS Design and Methodology Report..Geography Coverage.ACS data generally reflect the geographic boundaries of legal and statistical areas as of January 1 of the estimate year. For more information, see Geography Boundaries by Year.Estimates of urban and rural populations, housing units, and characteristics reflect boundaries of urban areas defined based on 2020 Census data. As a result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization..Sampling.The ACS consists of two separate samples: housing unit addresses and group quarters facilities. Independent housing unit address samples are selected for each county or county-equivalent in the U.S. and Puerto Rico, with sampling rates depending on a measure of size for the area. For more information on sampling in the ACS, see the Accuracy of the Data document..Confidentiality.The Census Bureau has modified or suppressed some estimates in ACS data products to protect respondents' confidentiality. Title 13 United States Code, Section 9, prohibits the Census Bureau from publishing results in which an individual's data can be identified. For more information on confidentiality protection in the ACS, see the Accuracy of the Data document..Technical Documentation/Methodology.Information about the American Community Survey (ACS) can be found on the ACS website. Supporting documentation including code lists, subject definitions, data accuracy, and statistical testing, and a full list of ACS tables and table shells (without estimates) can be found on the Technical Documentation section of the ACS website.Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American Community Survey website in the Methodology section.Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted roughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see ACS Technical Documentation). The effect of nonsampling error is not represented in these tables.Users must consider potential differences in geographic boundaries, questionnaire content or coding, or other methodological issues when comparing ACS data from different years. Statistically significant differences shown in ACS Comparison Profiles, or in data users' own analysis, may be the result of these differences and thus might not necessarily reflect changes to the social, economic, housing, or demographic characteristics being compared. For more information, see Comparing ACS Data..Weights.ACS estimates are obtained from a raking ratio estimation procedure that results in the assignment of two sets of weights: a weight to each sample person record and a weight to each sample housing unit record. Estimates of person characteristics are based on the person weight. Estimates of family, household, and housing unit characteristics are based on the housing unit weight. For any given geographic area, a characteristic total is estimated by summing the weights assigned to the persons, households, families or housing units possessing the characteristic in the geographic area. For more information on weighting and estimation in the ACS, see the Accuracy of the Data document.Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, the decennial census is the official source of population totals for April 1st of each decennial year. In between censuses, the Census Bureau's Population Estimates Program produces and disseminates the official estimates of the population for the nation, states, counties, cities, and towns and estimate...

In 2021, after two years of decline, there was significant growth in the Puerto Rican metal gas appliances market, when its value increased by 8.4% to $X. In general, consumption enjoyed a moderate expansion. Over the period under review, the market hit record highs at $X in 2018; however, from 2019 to 2021, consumption remained at a lower figure.

Statistics illustrates consumption, production, prices, and trade of Heaters; instantaneous gas water heaters, for domestic or other purposes in Puerto Rico from 2007 to 2024.

In 2021, the Puerto Rican gas and smoke analyser market was finally on the rise to reach $X after three years of decline. Overall, consumption recorded prominent growth. Puerto Rico consumption peaked at $X in 2017; however, from 2018 to 2021, consumption stood at a somewhat lower figure.

After two years of decline, the Puerto Rican market for line pipe of steel other than stainless steel for oil or gas pipelines increased by 7.5% to $X in 2021. The market value increased at an average annual rate of +1.3% from 2012 to 2021; however, the trend pattern indicated some noticeable fluctuations being recorded in certain years. Puerto Rico consumption peaked at $X in 2015; however, from 2016 to 2021, consumption failed to regain momentum.

The Puerto Rican stainless steel seamless pipe market shrank to $X in 2021, dropping by -13% against the previous year. In general, consumption faced a abrupt curtailment. Puerto Rico consumption peaked at $X in 2012; however, from 2013 to 2021, consumption failed to regain momentum.

Statistics illustrates consumption, production, prices, and trade of Heaters; instantaneous or storage water heaters, non-electric, other than gas in Puerto Rico from 2007 to 2024.

The Puerto Rican fuel or lubricating pump market shrank remarkably to $X in 2021, which is down by -15.6% against the previous year. Over the period under review, the total consumption indicated strong growth from 2012 to 2021: its value increased at an average annual rate of +5.0% over the last nine-year period. The trend pattern, however, indicated some noticeable fluctuations being recorded throughout the analyzed period. Based on 2021 figures, consumption increased by +22.6% against 2019 indices. Over the period under review, the market hit record highs at $X in 2014; however, from 2015 to 2021, consumption failed to regain momentum.

The Puerto Rican market for iron or steel gas domestic cooking appliances and plate warmers declined slightly to $X in 2021, which is down by -2.4% against the previous year. Overall, consumption showed a pronounced setback. Over the period under review, the market hit record highs at $X in 2012; however, from 2013 to 2021, consumption stood at a somewhat lower figure.