U.S. Crude Oil Imports

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.

Dataset Description

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).

File Structure

The dataset is provided in a CSV format with the following columns:

Potential Use Cases

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.

Credits

• This data was sourced from the U.S. Energy Information Administration.
• Image credits: ProGas LLC, Forbes Advisor

Crude Oil Production in the United States increased to 13844 BBL/D/1K in September from 13800 BBL/D/1K in August of 2025. This dataset provides the latest reported value for - United States Crude Oil Production - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Dataset and details can be found at the US Energy Information Admininstration (EIA)'s RBECs website

Context

EIA administers the Residential Energy Consumption Survey (RECS) to a nationally representative sample of housing units. Traditionally, specially trained interviewers collect energy characteristics on the housing unit, usage patterns, and household demographics. For the 2015 survey cycle, EIA used Web and mail forms, in addition to in-person interviews, to collect detailed information on household energy characteristics. This information is combined with data from energy suppliers to these homes to estimate energy costs and usage for heating, cooling, appliances and other end uses — information critical to meeting future energy demand and improving efficiency and building design.

First conducted in 1978, the fourteenth RECS collected data from more than 5,600 households in housing units statistically selected to represent the 118.2 million housing units that are occupied as a primary residence. Data from the 2015 RECS are tabulated by geography and for particularly characteristics, such as housing unit type and income, that are of particular interest to energy analysis.

The results of each RECS include data tables, a microdata file, and a series of reports. Data tables are generally organized across two headings; "Household Characteristics" and "Consumption & Expenditures." See RECS data tables.

The RECS and many of the EIA supplier surveys are integral ingredients for some of EIA's more comprehensive data products and reports, such as the Annual Energy Outlook (AEO) and Monthly Energy Review (MER). These products allow for broader comparisons across sectors, as well as projections of future consumption trends.

Content

The Residential Energy Consumption Survey (RECS) is a periodic study conducted by the U.S. Energy Information Administration (EIA) that provides detailed information about energy usage in U.S. homes. RECS is a multi-year effort (Figure 1) consisting of a Household Survey phase, data collection from household energy suppliers, and end-use consumption and expenditures estimation.

The Household Survey collects data on energy-related characteristics and usage patterns of a national representative sample of housing units. The Energy Supplier Survey (ESS) collects data on how much electricity, natural gas, propane/LPG, fuel oil, and kerosene were consumed in the sampled housing units during the reference year. It also collects data on actual dollar amounts spent on these energy sources.

EIA uses models (energy engineering-based models in the 2015 survey and non-linear statistical models in past RECS) to produce consumption and expenditures estimates for heating, cooling, refrigeration, and other end uses in all housing units occupied as a primary residence in the United States. Originally conducted by trained interviewers with paper and pencil, the 2015 study used a combination of computer-assisted personal interview (CAPI), web, and mail modes to collect data for the Household and Energy Supplier Surveys.

Banner image credit: https://www.flickr.com/photos/caribb/1518299093

Weekly Crude Oil Production in the United States decreased to 13814 Thousand Barrels Per Day in November 21 from 13834 Thousand Barrels Per Day in the previous week. This dataset includes a chart with historical data for the United States Weekly Crude Oil Production.

The Crude Oil Analysis (COA) database contains the digital data compilation of 9,076 crude oil analyses from samples collected from 1920 through 1983 from the United States and around the world and analyzed by the United States Bureau of Mines (National Institute for Petroleum and Energy Research, 1995). Two laboratories (Bartlesville, Oklahoma, and Laramie, Wyoming) performed routine crude oil analyses by a standardized method, and the data were originally reported in more than 50 reports by the Bureau of Mines.

Analyses include specific gravity, API gravity, pour point, viscosity, sulfur content, nitrogen content, and color of the crude oil, as well as the bulk properties of the distillation cuts.

The data were digitized in the late 1970s and a database retrieval system was implemented in 1980 and made available to the public. The Department of Energy (DOE) updated this system in 1995-96 with public access through a dial-up bulletin board system. The database was operated by the National Institute for Petroleum and Energy Research (NIPER) in Bartlesville, Oklahoma. A stand-alone version of the database (COADB) was available in 1995 in the form of a series of tables in Foxpro (.dbf) format. In 1998, an updated version of COADB was available on the NIPER website that included a Microsoft Access 97 version of the database called "coadb.mdb". The file contains more tables than the original 1995 version but we believe the number of oil samples and the amount of raw data are the same. The additional tables contain text translations for codes used in other tables regarding color, county, laboratory, formation, geologic age, lithology, and state name. Sample location information is generally inadequate to identify the specific well in most cases. The sample location information lacks lease name and in many cases well number and section-township-range. In rare cases, the latitude and longitude are given. A 2002 version was provided by the National Energy Technology Laboratory.

Heating Oil rose to 2.35 USD/Gal on December 2, 2025, up 0.21% from the previous day. Over the past month, Heating Oil's price has fallen 2.25%, but it is still 6.31% higher than a year ago, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Heating oil - values, historical data, forecasts and news - updated on December of 2025.

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

Strategic Petroleum Reserve Crude Oil Stocks in the United States increased to 411424 Thousand Barrels in November 21 from 410926 Thousand Barrels in the previous week. This dataset includes a chart with historical data for the United States Strategic Petroleum Reserve Crude Oil Stocks.

Gasoline fell to 1.86 USD/Gal on December 2, 2025, down 0.53% from the previous day. Over the past month, Gasoline's price has fallen 2.79%, and is down 4.95% compared to the same time last year, 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 December of 2025.

The 2025 annual OPEC basket price stood at ***** U.S. dollars per barrel as of August. This would be lower than the 2024 average, which amounted to ***** U.S. dollars. The abbreviation OPEC stands for Organization of the Petroleum Exporting Countries and includes Algeria, Angola, Congo, Equatorial Guinea, Gabon, Iraq, Iran, Kuwait, Libya, Nigeria, Saudi Arabia, Venezuela, and the United Arab Emirates. The aim of the OPEC is to coordinate the oil policies of its member states. It was founded in 1960 in Baghdad, Iraq. The OPEC Reference Basket The OPEC crude oil price is defined by the price of the so-called OPEC (Reference) basket. This basket is an average of prices of the various petroleum blends that are produced by the OPEC members. Some of these oil blends are, for example: Saharan Blend from Algeria, Basra Light from Iraq, Arab Light from Saudi Arabia, BCF 17 from Venezuela, et cetera. By increasing and decreasing its oil production, OPEC tries to keep the price between a given maxima and minima. Benchmark crude oil The OPEC basket is one of the most important benchmarks for crude oil prices worldwide. Other significant benchmarks are UK Brent, West Texas Intermediate (WTI), and Dubai Crude (Fateh). Because there are many types and grades of oil, such benchmarks are indispensable for referencing them on the global oil market. The 2025 fall in prices was the result of weakened demand outlooks exacerbated by extensive U.S. trade tariffs.

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 wi ...

Crude Oil Rigs in the United States decreased to 407 in November 28 from 419 in the previous week. This dataset provides - United States Crude Oil Rigs- actual values, historical data, forecast, chart, statistics, economic calendar and news.

Non-Gasoline Alternative Fueling Stations

Locations of non-gasoline alternative fueling stations in the United States

By Homeland Infrastructure Foundation [source]

About this dataset

With over 250 million vehicles consuming millions of barrels of petroleum daily in the country, finding sustainable and clean alternatives to traditional gasoline is crucial for reducing dependence on fossil fuels and mitigating environmental impact. This dataset serves as a valuable resource for vehicle fleet managers, corporate decision-makers, public transportation planners, and other stakeholders involved in promoting energy conservation strategies.

The data is collected by Clean Cities—a nationwide network of local coalitions—and the U.S. Department of Energy's Vehicle Technologies Office. Clean Cities plays a vital role in facilitating project assistance to help both public and private sectors adopt alternative and renewable fuels along with various technologies aimed at reducing idling time and improving fuel economy.

Each entry in the dataset includes essential details about individual fueling stations such as their geographical coordinates (longitude and latitude), address including street name and intersection location, city information with associated ZIP codes (including additional 4-digit codes when available), contact phone numbers for each station's operations (station phone number), status codes indicating operational or non-operational status along with expected dates of becoming operational if applicable.

Furthermore, the dataset includes comprehensive information about the types of alternative fuels provided by each station—specifically specifying biodiesel blends available at biodiesel-capable stations; fill type options for CNG stations; available charging levels for electric vehicle charging stations; DC fast charging availability; information regarding other electric vehicle charging networks/providers; primary liquefied petroleum gas (LPG) types offered at LPG-capable stations; ethanol blends available at specific ethanol-capable locations; pressure rating for natural gas filling points where applicable.

Additionally listed are details regarding federal agency affiliations/associations, ownership or operator types, accessibility days of the week, accepted payment cards, associated groups or organizations with each fueling station offering alternative fuels.

The dataset provides a comprehensive and up-to-date resource for those looking to promote clean energy and sustainable transportation solutions. It can be accessed through the Department of Energy's Alternative Fuels Data Center Web Feature Service

How to use the dataset

Here is a guide on how to use this dataset effectively:

Step 1: Understanding the Columns - X: The longitude coordinate of the fueling station. - Y: The latitude coordinate of the fueling station. - Fuel_Type: The type of alternative fuel provided at the station (biodiesel, CNG, electric, ethanol, hydrogen, LNG or propane). - Station_Na: The name of the fueling station. - Street_Add: The street address of the fueling station. - Intersecti: The intersection where the fueling station is located. - City: The city where the fueling station is located. - State: The state where the fueli ngstationislocatedZ: IP code ofthefuelingstaion Plus4:The additional4-digit codefortheZIPcodeStation_Ph:aThephonenumbeofthefuelngstations

Step 2. Location Visualization Since this dataset provides coordinates (longitude and latitude) for each fueling station location in addition to their names and addresses. Mapping tools like ArcGIS or Tableau can be used to plot these locations on a map for visual analysis.

Using these mapping visualization techniques will allow users to identify clusters or patterns in certain areas with higher densities of alternative fuelling stations. It can also help identify gaps in certain regions that lack access to such fuelling facilities.

Step 3. Filtering by Specific Fuel Types This dataset contains information about various alternative fuels including biodiesel, CNG, electric, ethanol, hydrogen, LNG and propane. Users can filter the dataset based on their specific fuel type of interest to obtain the relevant fueling stations.

By using filters or queries on columns such as Fuel_Type or EV_Level2 (electric vehicle charging level), users can focus on a specific category of alternative fuels that they are interested in exploring further.

Step 4: Analyzing Station Status and Availability The dataset includes information about the status code of each fueling station, indicating whether it is operational or not. Us...

API Crude Oil Stock Change in the United States decreased to -2.48 BBL/1Million in November 28 from -1.90 BBL/1Million in the previous week. This dataset provides - United States API Crude Oil Stock Change- actual values, historical data, forecast, chart, statistics, economic calendar and news.

There are 487 onshore oil and gas fields in California encompassing 3,392 square miles of aggregated area. The California State Water Resources Control Board (State Water Board) initiated a Regional Monitoring Program (RMP) in July 2015, intended to determine where and to what degree groundwater quality may be at potential risk to contamination related to oil and gas development activities including well stimulation, well integrity issues, produced water ponds, and underground injection. The first step in monitoring groundwater in and near oil and gas fields is to prioritize the 487 fields using consistent statewide analysis of available data that indicate potential risk of groundwater to oil and gas development. There were limited existing data on potential groundwater risk factors available for oil and gas fields across the state. During 2014-2016, the U.S. Geological Survey (USGS) extracted and compiled data from various sources, including the California Division of Oil, Gas, and Geothermal Resources (DOGGR) and the Department of Water Resources (DWR). The depth to top of perforated intervals and depth to base of freshwater for oil and gas injection wells in California were compiled from an Access database provided by the DOGGR in February 2015 as a retrieval from the California Well Information Management System (CalWIMS) database for Underground Injection Control (UIC) wells. This digital dataset contains 19,322 records for injection wells, of which 17,278 wells have a recorded depth to top of perforated intervals and 5,248 wells have a recorded depth to base of freshwater. The original dataset included the depths, American Petroleum Institute (API) numbers, oil and gas field, and well location. Wells were attributed with well status and type, and nearest oil and gas field for wells that plotted outside field boundaries using the DOGGR All Wells geospatial data included in this data release. Wells were attributed with land surface elevations using the California National Elevation Dataset.

These well locations were derived from historical mine maps known as the WPA, Ksheet, and Hsheet collections. These locations are provided for informational purposes only and should not be sole means of decision making and are in no way a substitute for actual on the ground observation. In 1859, the United States’ first commercial oil well was drilled in Venango County, Pennsylvania. In the 150 years subsequent to this, an unknown number of oil and gas wells have been drilled in the state. A current estimate by the Independent Petroleum Association of America places that number at approximately 325,000. Of those 325,000 wells, over 200,000 are still unaccounted for. As these wells are found and verified, they are cataloged in the Department of Environmental Protection’s (DEP) Abandoned and Orphan Well database to facilitate plugging. There are currently over 8,200 wells listed in this database (2013). With so many unknown oil and gas wells scattered across Pennsylvania and the environmental threats that they pose, identification remains a vital component of DEP’s Oil and Gas Program. Currently, the DEP, Office of Active and Abandoned Mine Operations is involved in many projects dealing with historic and active mine map restoration and geo-referencing. These maps, which vary in age, not only contain information on historic mine locations, but also oil and gas locations. Through collaboration between the Bureau of Mining Programs and the Bureau of Oil and Gas Planning and Program Management, potential oil and gas well locations were assembled using three mine map collections. These collections include the WPA mine map collection, Ksheets collection, and the Hsheets collection. From these sources, over 30,000 potential historic oil and gas well locations were derived. The Bureau of Oil and Gas Planning and Program Management is constantly looking for historic sources to help locate oil and gas wells in the state that remain unaccounted for. This particular dataset was created using georeferenced mine maps of various/unknown accuracy and various/unknown coordinate systems to various base maps, including but not limited to USGS topographic maps and PAMAP aerial photography. The locations were then digitized using the georeferenced mine maps. These locations are provided for informational purposes only and should not be sole means of decision making and are in no way a substitute for actual field observations.

"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."

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.

Even though the effect of oil price shocks on macroeconomics has been extensively investigated, the literature on how efficiency in household energy use affect crude oil price volatility is yet explored. This study unveils whether household energy efficiency lower crude oil price volatility asymmetrically in the United States using the historical and forecast dataset that spans from 1970:Q1-2040:Q1. Applying the multivariate case of Quantile-on-Quantile Regression, the empirical results show that household energy efficiency dampens crude oil price volatility with a stronger connection in quantiles before the median quantiles of crude oil price volatility. However, the effect of household energy efficiency decreases with an increase across quantiles of the crude oil price volatility. The results further show that energy-related CO2 emissions and retail electricity price intensify crude oil price volatility with varying effects across quantiles. These findings are similar to the sensitivity analysis and robustness checks. Overall, the policy implication of our findings is that government and policymakers need to demonstrate unequivocal commitments to improving not only energy-efficient practices at household level but also to mitigate energy-related environmental disasters.

For full FGDC metadata record, please click here.These data have been created to represent areas that are environmentally and economically sensitive to oil and hazardous material spills. These data were originally created and assembled by the NOAA Scientific Support Coordinator for US Coast Guard District Seven in circa 1992-1993 in cooperation with local Area Committees in accordance with regulations set forth by the National Response Plan of the Oil Pollution Act of 1990. They were provided to FWC-FWRI (Florida Fish and Wildlife Conservation Commission - Fish and Wildlife Research Institute, (at that time known as the Florida Marine Research Institute) in the fall of 2003 as shapefiles (in geographic, decimal degrees, NAD 83 datum) and PDF maps for each of the US Coast Guard's Marine Safety Office Areas of Responsibility (Captain of the Port Zones for Miami (at that time consisting of both Sector Miami and Sector Key West), Tampa, Jacksonville, Savannah, Charleston, and Puerto Rico/US Virgin Islands). In the Fall & Winter of 2003, FWC-FWRI map-joined all of these shapefile data layers into a single contiguous layer, then converted the data into a Microsoft Access database for updating. In the Winter & Spring of 2003-2004 FWC-FWRI updated contact information and other attribute data to expand and improve upon the database so it could be used as a core business data layer for the Marine Resources Geographic Information System (MRGIS) library. Using various spatial coding functions, such as "assign data by location", additional attribute information has been added to the spatial database. Some examples are: The NOAA Nautical Chart the point can be found on, the USGS Quad the point can be found on, the Environmental Sensitivity Index map the point can be found on, the Latitude & Longitude in two data formats (Decimal Degrees and Degrees, Minutes, Seconds (with special characters for each unit), and others. These data were maintained as a part of the MRGIS Library and used with report generating software to update the information as needed for the creation of new printed "Oil Spill Sensitive Site" record documents for spill contingency planning and response purposes. In March of 2007, FWC-FWRI partnered with USCG Sector Mobile (part of USCG District 8) to catalog the oil spill sensitive areas within the Sector Mobile boundary, which includes the Panhandle of Florida, coastal Alabama, and coastal Mississippi. Work had previously been performed in a workshop environment to identify and catalog these areas, but NOT in a spatial manner. FWRI began this work by systematically geocoding the previously identified locations and entering the attribute information that was available into the same database structure that was in place for USCG District 7 (as mentioned above). The goal was to create a consistent dataset for the southeastern United States and Puerto Rico/US Virgin Islands. Once the basic geocoding was complete, a workshop was scheduled and key stakeholder agency representatives were invited to attend and review and augment this dataset for Sector Mobile. This workshop was at the end of March 2007 and working group members were recruited from the Area Committee and those key stakeholders recommended by the Area Committee. Through the years of 2008-2009, FWC-FWRI partnered with the US Coast Guard and Florida Department of Environmental Protection - Bureau of Emergency Response to conduct a series of workshops to review and update these detailed Geographic Response Plan (GRP) data and maps for revised Digital Area Contingency Plans. As with Sector Mobile, the GRP Revision workshop attendees were from or determined by the specific Area Committee of each Sector. Please see process steps for more information about the history of the data. The process of data entry is ongoing at FWRI as of July 2011. Data will be entered and undergo quality assurance/quality control processes before new data sheets and maps are re-produced for distribution and inclusion into Digital Area Contingency Plans and other GIS and/or map products. A versioned geodatabase has been created in SQL/SDE to track changes and manage data entry as well as digital QA/QC processes, such as consistency checks. A map service has also been created that is available to all the public and stakeholder community to view the latest version of this geodata. The map service displays data directly from the Enterprise versioned database. http://ocean.floridamarine.org/acpgrp/default.aspx These data are used in BOTH a spatial manner and in the traditional database manner. The spatial version is used to produce response maps and in a GIS (The Florida Marine Spill Analysis System and Digital Area Contingency Plans) to provide timely, accurate, and valuable information to responders and in the traditional database manner to populate reports used in producing area contingency plan maps and data sheets. Maps are produced (as PDF) with the sensitive area sites depicted on them, they are then "hyperlinked" in PDF to the data sheet that contains the attribute data for the site in a customized data report form. The report form contains information on key stakeholders for the area, wildlife resources to be protected, nearby staging areas, recommended protection strategies, the latitude/longitude of the site, and other response related information needed by first responders.