Gasoline fell to 2.12 USD/Gal on July 4, 2025, down 0.15% from the previous day. Over the past month, Gasoline's price has risen 2.78%, but it is still 17.78% lower than a year ago, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Gasoline - values, historical data, forecasts and news - updated on July of 2025.

Data sets provide model-specific fuel consumption ratings and estimated carbon dioxide emissions for new light-duty vehicles for retail sale in Canada. To help you compare vehicles from different model years, the fuel consumption ratings for 1995 to 2014 vehicles have been adjusted to reflect 5-cycle testing. Note that these are approximate values that were generated from the original ratings, not from vehicle testing. For more information on fuel consumption testing, visit: https://natural-resources.canada.ca/energy-efficiency/transportation-energy-efficiency/fuel-consumption-testing. To compare the fuel consumption information of new and older models to find the most fuel-efficient vehicle that meets your everyday needs, use the fuel consumption ratings search tool at https://fcr-ccc.nrcan-rncan.gc.ca/en. (Data update: May 20, 2025)

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

Monthly consumption and cost data by borough and development. Data set includes utility vendor and meter information.

This dataset provides the historical data of fuel price including Gasoline 92 (normal gasoline) and Gasoil 50ppm (diesel) that were recorded by Ministry of Commerce and update mostly every 10 days. It also illustrates the amount of price change of fuel along each period.

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

The Alaska Fuel Price Report was originally created in 2005 to provide information about actual energy costs across Alaska. These data were used to inform decision making relating to grant and loan programs administered by the Alaska Department of Commerce, Community, and Economic Development.Since the initial report in 2005, the Division of Community and Regional Affairs (DCRA) has conducted 39 surveys to obtain heating fuel and gasoline prices from 100 selected Alaskan communities. At the time the survey was launched, the national AAA fuel survey only reported Anchorage and Mat-Su pricing so these areas were deliberately excluded from the 100 select communities. For twenty years, DCRA fuel survey data have been used by public and private entities as a consistent frame of reference for gasoline and heating fuel prices over time.

Fuel Prices from Queensland service stations. Available as CSV and API.

About this dataset

Context

The dataset presents the mean household income for each of the five quintiles in Gas, KS, as reported by the U.S. Census Bureau. The dataset highlights the variation in mean household income across quintiles, offering valuable insights into income distribution and inequality.

Key observations

• Income disparities: The mean income of the lowest quintile (20% of households with the lowest income) is 24,901, while the mean income for the highest quintile (20% of households with the highest income) is 107,797. This indicates that the top earners earn 4 times compared to the lowest earners.
• *Top 5%: * The mean household income for the wealthiest population (top 5%) is 130,305, which is 120.88% higher compared to the highest quintile, and 523.29% higher compared to the lowest quintile.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Income Levels:

• Lowest Quintile
• Second Quintile
• Third Quintile
• Fourth Quintile
• Highest Quintile
• Top 5 Percent

Variables / Data Columns

• Income Level: This column showcases the income levels (As mentioned above).
• Mean Household Income: Mean household income, in 2023 inflation-adjusted dollars for the specific income level.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Gas median household income. You can refer the same here

This dataset compares the Gross Volume of Gasoline in Virginia (VA) would likely provide insights into various aspects of gasoline consumption, production, and distribution in the state of Virginia

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

About this dataset

Context

The dataset presents median income data over a decade or more for males and females categorized by Total, Full-Time Year-Round (FT), and Part-Time (PT) employment in Gas. It showcases annual income, providing insights into gender-specific income distributions and the disparities between full-time and part-time work. The dataset can be utilized to gain insights into gender-based pay disparity trends and explore the variations in income for male and female individuals.

Key observations: Insights from 2023

Based on our analysis ACS 2019-2023 5-Year Estimates, we present the following observations: - All workers, aged 15 years and older: In Gas, the median income for all workers aged 15 years and older, regardless of work hours, was $31,927 for males and $15,817 for females.

These income figures highlight a substantial gender-based income gap in Gas. Women, regardless of work hours, earn 50 cents for each dollar earned by men. This significant gender pay gap, approximately 50%, underscores concerning gender-based income inequality in the city of Gas.

- Full-time workers, aged 15 years and older: In Gas, among full-time, year-round workers aged 15 years and older, males earned a median income of $50,625, while females earned $26,776, leading to a 47% gender pay gap among full-time workers. This illustrates that women earn 53 cents for each dollar earned by men in full-time roles. This level of income gap emphasizes the urgency to address and rectify this ongoing disparity, where women, despite working full-time, face a more significant wage discrepancy compared to men in the same employment roles.

Remarkably, across all roles, including non-full-time employment, women displayed a similar gender pay gap percentage. This indicates a consistent gender pay gap scenario across various employment types in Gas, showcasing a consistent income pattern irrespective of employment status.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2023-inflation-adjusted dollars.

Gender classifications include:

• Male
• Female

Employment type classifications include:

• Full-time, year-round: A full-time, year-round worker is a person who worked full time (35 or more hours per week) and 50 or more weeks during the previous calendar year.
• Part-time: A part-time worker is a person who worked less than 35 hours per week during the previous calendar year.

Variables / Data Columns

• Year: This column presents the data year. Expected values are 2010 to 2023
• Male Total Income: Annual median income, for males regardless of work hours
• Male FT Income: Annual median income, for males working full time, year-round
• Male PT Income: Annual median income, for males working part time
• Female Total Income: Annual median income, for females regardless of work hours
• Female FT Income: Annual median income, for females working full time, year-round
• Female PT Income: Annual median income, for females working part time

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Gas median household income by race. You can refer the same here

Monthly average retail prices for gasoline and fuel oil for Canada, selected provincial cities, Whitehorse and Yellowknife. Prices are presented for the current month and previous four months. Includes fuel type and the price in cents per litre.

These data are an update to 2012-2020 Greenhouse Gas National- and State-Level Emission Totals by Industry (https://doi.org/10.23719/1529805). Data for 2021 and 2022 are added and are aligned with the 2012-2022 National-Level Greenhouse Gas Emission Totals by Industry (https://doi.org/10.23719/1531141). The Excel file contains a sheet with these totals by state and sector and year for each year in the time series along with metadata. Links are provided to the datasets in parquet format as generated by FLOWSA. Supporting metadata for each dataset is provided in the links. The primary emissions source was updated to use the EPA "Inventory of U.S. Greenhouse Gas Emissions and Sinks by State" 2024 report. The industry classifications were updated to use 2017 North American Industry Classification Codes. The code used to generate the datasets is available in the FLOWSA v2.0.5 tool (https://github.com/USEPA/flowsa/tree/v2.0.5). Values are given in total kilograms emitted for the given year, sector and location. Please see the related publication for more background information. https://cfpub.epa.gov/si/si_public_record_Report.cfm?dirEntryId=360507&Lab=CESER Validation: A supporting zip archive (GHG_by_Sector_and_State_2012-2022_validation.zip) is provided with results of various validation checks. Files with the pattern 'GHG_XXXX_rel_state_flow_comparison.csv' where 'XXXX' is the data year show totals by gas in a given year summed across states from this dataset ('state' field) compared to previously published national totals by gas produced from the national totals by industry ('national' field) for the same year. 'comp' is a ratio of 'state':'national'. All other fields are the same as those found in the FLOWSA flow-by-sector data format. Files with the pattern 'GHG_XXXX_rel_state_sector_comparison.csv' where 'XXXX' is the data year show the totals by gas by industry in a given year summed across states by gas and by industry compared to national totals by gas by industry by year. Fields have the same meaning as described above. Additional validation and log files of the associated FLOWSA model runs can be found on the EPA Data Commons (https://dmap-data-commons-ord.s3.amazonaws.com/index.html#flowsa/FlowBySector/) where the parquet and metadata files reside and have the same file names but end in .log and _validation.log. Please read more in the FLOWSA documentation to understand these files. Preferred Citation: Please cite this dataset as Young, Ben, Ingwersen, Wesley. 2025. 2012-2022 State-Level Greenhouse Gas Emission Totals by Industry. Data.gov. https://doi.org/10.23719/1532224. This dataset is associated with the following publication: Young, B., C. Birney, and W.W. Ingwersen. Dataset of 2012-2020 U.S. National- and State-Level Greenhouse Gas Emissions by Sector. Data in Brief. Elsevier B.V., Amsterdam, NETHERLANDS, 53: 110173, (2024).

📈 Daily Historical Stock Price Data for Clean Energy Fuels Corp. (2007–2025)

A clean, ready-to-use dataset containing daily stock prices for Clean Energy Fuels Corp. from 2007-05-25 to 2025-05-28. This dataset is ideal for use in financial analysis, algorithmic trading, machine learning, and academic research.

  🗂️ Dataset Overview

Company: Clean Energy Fuels Corp. Ticker Symbol: CLNE Date Range: 2007-05-25 to 2025-05-28 Frequency: Daily Total Records: 4531 rows (one… See the full description on the dataset page: https://huggingface.co/datasets/khaledxbenali/daily-historical-stock-price-data-for-clean-energy-fuels-corp-20072025.

📈 Daily Historical Stock Price Data for Doosan Fuel Cell Co., Ltd. (2019–2025)

A clean, ready-to-use dataset containing daily stock prices for Doosan Fuel Cell Co., Ltd. from 2019-10-18 to 2025-05-28. This dataset is ideal for use in financial analysis, algorithmic trading, machine learning, and academic research.

  🗂️ Dataset Overview

Company: Doosan Fuel Cell Co., Ltd. Ticker Symbol: 336260.KS Date Range: 2019-10-18 to 2025-05-28 Frequency: Daily Total Records: 1377… See the full description on the dataset page: https://huggingface.co/datasets/khaledxbenali/daily-historical-stock-price-data-for-doosan-fuel-cell-co-ltd-20192025.

Last updated: November 2023 This dataset represents the spatial extent of prescribed burns planned for ignition and associated mechanical and vegetation works on Public Land in Victoria and some CFA burns. This data is prepared annually for prescribed burns planned for the immediate three-year period. This dataset is now the joint fuel management plan and now includes the CFA burns as well as VicForest coupe burns.

About this dataset

Context

The dataset tabulates the population of Gas by race. It includes the population of Gas across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of Gas across relevant racial categories.

Key observations

The percent distribution of Gas population by race (across all racial categories recognized by the U.S. Census Bureau): 87.78% are white and 12.22% are American Indian and Alaska Native.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race: This column displays the racial categories (excluding ethnicity) for the Gas
• Population: The population of the racial category (excluding ethnicity) in the Gas is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Gas total population. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Gas Population by Race & Ethnicity. You can refer the same here

About this dataset

Context

The dataset tabulates the Gas population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for Gas. The dataset can be utilized to understand the population distribution of Gas by age. For example, using this dataset, we can identify the largest age group in Gas.

Key observations

The largest age group in Gas, KS was for the group of age 70 to 74 years years with a population of 99 (17.04%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Gas, KS was the 80 to 84 years years with a population of 0 (0%). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group in consideration
• Population: The population for the specific age group in the Gas is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Gas total population. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Gas Population by Age. You can refer the same here