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https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F8734253%2Fa7802f9fbe1ee0095b2940d3b0fdccd9%2Fcrude-oil-banner.png?generation=1714313995249268&alt=media" alt="">
Background: Crude oil is a naturally occurring, unrefined petroleum product composed of hydrocarbon deposits and other organic materials. It is a fossil fuel that is refined to produce usable products such as gasoline, diesel, and various forms of petrochemicals. The United States imports crude oil from various countries to supplement its domestic production.
This dataset provides detailed information about U.S. crude oil imports by month for every year from 2009 to 2024. The data includes the country of origin, the U.S. port of entry, the name of the oil company, the type of crude oil, and the volume imported (in thousands of barrels).
The dataset is provided in a CSV format with the following columns:
Column Name | Description |
---|---|
year | The year of the import. |
month | The month of the import. |
originName | The name of the place where the crude oil was exported from. |
originTypeName | The type of location the crude oil was exported from (e.g. country, region, etc.). |
destinationName | The name of the place in the U.S. receiving the crude oil. |
destinationTypeName | The type of destination (e.g., port, refinery). |
gradeName | The grade or type of crude oil imported (e.g., Light Sweet, Heavy Sour). |
quantity | The volume of crude oil imported, measured in thousands of barrels. |
This dataset can be used for various purposes, including: 1. Analyzing U.S. crude oil import patterns: The data can help identify the major countries exporting crude oil to the United States, the most common grades of crude oil imported, and the primary ports of entry. 2. Investigating the impact of crude oil imports on the U.S. economy: By combining this data with other economic indicators, researchers can explore the relationship between crude oil imports and various aspects of the U.S. economy, such as GDP, employment, and inflation. 3. Optimizing supply chain management: Oil companies and refineries can use this data to better understand their supply chains and make informed decisions about sourcing, transportation, and storage of crude oil. 4. Forecasting future trends: By analyzing historical import data, researchers can develop models to forecast future trends in U.S. crude oil imports, which can help inform policy decisions and business strategies. 5. Environmental impact assessment: The data can be used to estimate the environmental impact of crude oil imports, such as the carbon footprint associated with transportation and refining processes.
Overall, this dataset provides a comprehensive overview of U.S. crude oil imports for January 2009, offering valuable insights for researchers, policymakers, and industry professionals interested in the energy sector and its impact on the U.S. economy.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Weekly Crude Oil Production in the United States decreased to 13385 Thousand Barrels Per Day in July 4 from 13433 Thousand Barrels Per Day in the previous week. This dataset includes a chart with historical data for the United States Weekly Crude Oil Production.
This dataset contains information about GCC countries oil consumption, gasoline, fuel, refined petroleum and liquefied petroleum data from 1980-2019Data from US Energy Information AdministrationFollow datasource.kapsarc.org and it’s APIs to stay in sync and advance energy economics research.
This dataset contains information about world's crude oil prices for 1861-2020. Data from BP. Follow datasource.kapsarc.org for timely data to advance energy economics research.Notes: 1861-1944 US Average 1945-1983 Arabian Light posted at Ras Tanura 1984-2016 Brent dated. $2020 (deflated using the Consumer Price Index for the US
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Oil Exports in the United States decreased to 7414 USD Million in May from 8098 USD Million in April of 2025. This dataset provides - United States Crude Oil Exports- actual values, historical data, forecast, chart, statistics, economic calendar and news.
Monthly consumption and cost data by borough and development. Data set includes utility vendor and meter information.
U.S. Government Workshttps://www.usa.gov/government-works
License information was derived automatically
This data release contains several datasets that provide an overview of oil and gas well history and production of the United States, from 1817 to September 1, 2022. Well history data is aggregated into 1-mile and 10-mile squares indicating the total number of wells and counts of wells classified as oil, gas, dry, injection, hydraulically fractured, and/or horizontal wells. Well history is also separated into layers binned on 1-year increments from a well's spud date (date drilling commenced). Production data is aggregated in 2-mile and 10-mile squares that sum the total production of oil, gas, and water volumes. Production data is also separated into layers binned on 1-year increments to reflect the year of production. These aggregations are compiled from data from IHS Markit, which is a proprietary, commercial database. No proprietary data is contained in this release. This data release was updated May 2023 to reflect an offset of 1 year on the original release.
This U.S. Geological Survey (USGS) Data Release provides data to estimate water use associated with continuous oil and gas development in the Williston Basin during 1980-2017. Data included: 1. Data records from the national hydraulic fracturing chemical registry, FracFocus, including the state, county, latitude and longitude of each well, and the year and volume of water used for hydraulic fracturing for the years 2010-2017 in Montana and North Dakota. 2. IHS Markit (TM) data reported in 2018 including the number of wells used for hydraulic fracturing treatments; the volume of oil, gas and water produced; well counts for produced oil, gas, and water. 3. Montana Department of Natural Resources and Conservation (MTDNRC) water permit records associated with oil and gas development including the county, source type, use type, and volume of water use reported for the years 2012-2017. 4. North Dakota Industrial Commission (NDIC) records of individual well permits including county, latitude, longitude, depth of casings, number of sacks of cement used for casings, volume of wastewater injected or disposed, volume of water, oil and gas produced, and the volume of water used for hydraulic fracturing stimulation for the years 1980-2017. 5. North Dakota State Water Commission (NDSWC) records of individual water permits including the county, latitude, longitude, source type, use type, and volume of water use reported, and allocations allowed for the years 1980-2017. 6. Annual population estimates by county for Montana, North Dakota, and South Dakota for the years 1980-2017 from the United States Census Bureau's (USCB) Population Estimates Program. 7. Spatially interpolated monthly total precipitation and average monthly daily minimum, maximum, and mean air temperature from the PRISM Climate Group for the conterminous United States for the years 1980-2017 at a 4 km resolution. First posted September 30, 2019 Revised December 17, 2019, ver.2.0 Revised October 18, 2022, ver. 3.0
Historical crude oil and petroleum products data series updated annually in July alongside the publication of the Digest of United Kingdom Energy Statistics (DUKES).
MS Excel Spreadsheet, 59.5 KB
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in search of latest crude oil consumption data I found out very interesting data regarding macroeconomics data on the topics such as real gross state product , Industrial Output ,Real personal income .... and much more region wise and year wise.
I found this dataset very interesting regarding in which field or sectors which region has grown how and how the growth is during 2019 - 2020- 2021 though covid factor would have been more visible if it were a quarterly data but also wanted to include 1999 and 2008 and 2012-2014 major periods and observe how it affected this data points. most of the data and columns are self- explanatory, we can visit the official site for more info.
the credit goes to: US Energy Information Administration https://www.eia.gov/outlooks/steo/data/browser/#/?v=4&f=A&s=&start=2000&end=2022&map=&maptype=0&ctype=linechart&linechart=CGSP_NEC~CGSP_MAC~CGSP_ENC~CGSP_WNC~CGSP_SAC~CGSP_ESC~CGSP_WSC~CGSP_MTN~CGSP_PAC&id=
please check out the line graphs which explain a lot on the offical site!
The United States Documented Unplugged Orphaned Oil and Gas Well (DOW) dataset contains 117,672 wells in 27 states. The definition of an orphaned oil or gas well varies across data sources; the dataset includes oil or gas wells where the state indicates that the well is an unplugged orphan, or the following criteria are met: 1) no production for an average of 12 months (6 to 24 months depending on the state), 2) the well is unplugged, 3) there is no responsible party to manage the well for future re-use or for plugging and abandonment, and 4) the location of the well is documented. The dataset includes location coordinates, American Petroleum Institute (API) number, or other identification number, well type, well status, and additional information for each unplugged orphaned well. All data were collected by direct requests to the respective state agency overseeing oil and gas wells or data downloads from their online databases. Location format conversion was performed on wells without coordinate locations using tools provided by the Bureau of Land Management and some state agencies. No other data manipulations were performed to the source data aside from reformatting or the addition of explanatory notes.
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.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Stocks of crude oil in the United States increased by 7.07million barrels in the week ending July 4 of 2025. This dataset provides the latest reported value for - United States Crude Oil Stocks Change - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.
MS Excel Spreadsheet, 1.05 MB
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Request an accessible format.For enquiries concerning this table contact: energyprices.stats@energysecurity.gov.uk
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License information was derived automatically
Context
The dataset presents the distribution of median household income among distinct age brackets of householders in Petroleum County. Based on the latest 2019-2023 5-Year Estimates from the American Community Survey, it displays how income varies among householders of different ages in Petroleum County. It showcases how household incomes typically rise as the head of the household gets older. The dataset can be utilized to gain insights into age-based household income trends and explore the variations in incomes across households.
Key observations: Insights from 2023
In terms of income distribution across age cohorts, in Petroleum County, the median household income stands at $85,625 for householders within the 25 to 44 years age group, followed by $72,083 for the 45 to 64 years age group. Notably, householders within the 65 years and over age group, had the lowest median household income at $44,063.
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.
Age groups classifications include:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Petroleum County median household income by age. You can refer the same here
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the Petroleum County 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 Petroleum County. The dataset can be utilized to understand the population distribution of Petroleum County by age. For example, using this dataset, we can identify the largest age group in Petroleum County.
Key observations
The largest age group in Petroleum County, MT was for the group of age 60 to 64 years years with a population of 56 (13.46%), according to the ACS 2018-2022 5-Year Estimates. At the same time, the smallest age group in Petroleum County, MT was the 15 to 19 years years with a population of 8 (1.92%). Source: U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates
Age groups:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Petroleum County Population by Age. You can refer the same here
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the Petroleum County 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 Petroleum County. The dataset can be utilized to understand the population distribution of Petroleum County by age. For example, using this dataset, we can identify the largest age group in Petroleum County.
Key observations
The largest age group in Petroleum County, MT was for the group of age 50 to 54 years years with a population of 44 (10.97%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Petroleum County, MT was the 25 to 29 years years with a population of 3 (0.75%). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates
Age groups:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Petroleum County Population by Age. You can refer the same here
The drilling history documents oil and gas wells in the Lower Miocene 2 sequence as a whole and in 10-year intervals. The wells included in this interval are determined by completion date and by comparing the depth of the wells to structure contours of the Lower Miocene 2 sequence. The data are provided in a single file (lm2_prod.shp) as well as nine 10-year interval files covering 1910 through 1999. These datasets contain basic data and interpretations developed and compiled by the U.S. Geological Survey's Framework Studies and Assessment of the Gulf Coast Project. Other major sources of data include publicly available information from state agencies as well as publications of the U.S. Geological Survey and other scientific organizations. In cases where company proprietary data were used to produce various derivatives such as contour surfaces, the source is cited but the data are not displayed.
"This report contains maps and associated spatial data showing historical oil and gas exploration and production in the United States. Because of the proprietary nature of many oil and gas well databases, the United States was divided into cells one-quarter square mile and the production status of all wells in a given cell was aggregated. Base-map reference data are included, using the U.S. Geological Survey (USGS) National Map, the USGS and American Geological Institute (AGI) Global GIS, and a World Shaded Relief map service from the ESRI Geography Network. A hardcopy map was created to synthesize recorded exploration data from 1859, when the first oil well was drilled in the U.S., to 2005. In addition to the hardcopy map product, the data have been refined and made more accessible through the use of Geographic Information System (GIS) tools. The cell data are included in a GIS database constructed for spatial analysis via the USGS Internet Map Service or by importing the data into GIS software such as ArcGIS. The USGS internet map service provides a number of useful and sophisticated geoprocessing and cartographic functions via an internet browser. Also included is a video clip of U.S. oil and gas exploration and production through time."
U.S. Government Workshttps://www.usa.gov/government-works
License information was derived automatically
A cells polygon feature class was created by the U.S. Geological Survey (USGS) to illustrate the degree of exploration, type of production, and distribution of production in the United States. Each cell represents a quarter-mile square of the land surface, and the cells are coded to represent whether the wells included within the cell are predominantly oil-producing, gas-producing, both oil and gas-producing, or the type of production of the wells located within the cell is unknown or dry. The well information was initially retrieved from IHS Inc.'s PI/Dwights PLUS Well Data on CD-ROM, which is a proprietary, commercial database containing information for most oil and gas wells in the U.S. Cells were developed as a graphic solution to overcome the problem of displaying proprietary well data. No proprietary data are displayed or included in the cell maps. The data are current through 10/1/2005.
https://www.usa.gov/government-works/https://www.usa.gov/government-works/
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Background: Crude oil is a naturally occurring, unrefined petroleum product composed of hydrocarbon deposits and other organic materials. It is a fossil fuel that is refined to produce usable products such as gasoline, diesel, and various forms of petrochemicals. The United States imports crude oil from various countries to supplement its domestic production.
This dataset provides detailed information about U.S. crude oil imports by month for every year from 2009 to 2024. The data includes the country of origin, the U.S. port of entry, the name of the oil company, the type of crude oil, and the volume imported (in thousands of barrels).
The dataset is provided in a CSV format with the following columns:
Column Name | Description |
---|---|
year | The year of the import. |
month | The month of the import. |
originName | The name of the place where the crude oil was exported from. |
originTypeName | The type of location the crude oil was exported from (e.g. country, region, etc.). |
destinationName | The name of the place in the U.S. receiving the crude oil. |
destinationTypeName | The type of destination (e.g., port, refinery). |
gradeName | The grade or type of crude oil imported (e.g., Light Sweet, Heavy Sour). |
quantity | The volume of crude oil imported, measured in thousands of barrels. |
This dataset can be used for various purposes, including: 1. Analyzing U.S. crude oil import patterns: The data can help identify the major countries exporting crude oil to the United States, the most common grades of crude oil imported, and the primary ports of entry. 2. Investigating the impact of crude oil imports on the U.S. economy: By combining this data with other economic indicators, researchers can explore the relationship between crude oil imports and various aspects of the U.S. economy, such as GDP, employment, and inflation. 3. Optimizing supply chain management: Oil companies and refineries can use this data to better understand their supply chains and make informed decisions about sourcing, transportation, and storage of crude oil. 4. Forecasting future trends: By analyzing historical import data, researchers can develop models to forecast future trends in U.S. crude oil imports, which can help inform policy decisions and business strategies. 5. Environmental impact assessment: The data can be used to estimate the environmental impact of crude oil imports, such as the carbon footprint associated with transportation and refining processes.
Overall, this dataset provides a comprehensive overview of U.S. crude oil imports for January 2009, offering valuable insights for researchers, policymakers, and industry professionals interested in the energy sector and its impact on the U.S. economy.