Brownfields are real property, the expansion, redevelopment, or reuse of which may be complicated by the presence or potential presence of a hazardous substance, pollutant or contaminant. This dataset shows the locations of sites, facilities and properties that have been contaminated by hazardous materials and are being, or have been, cleaned up under EPA Brownfields cleanup programs.

This web feature service consists of location and facility identification information from EPA's Facility Registry Service (FRS) for the subset of sites that link to the Assessment Cleanup and Redevelopment Exchange System (ACRES). ACRES stores information reported by EPA Brownfields grant recipients on Brownfields properties assessed or cleaned up with grant funding, as well as information on Targeted Brownfields Assessments (TBA) performed by EPA Regions. The Facility Registry Service (FRS) identifies and geospatially locates facilities, sites or places subject to environmental regulations or of environmental interest. Using vigorous verification and data management procedures, FRS integrates facility data from EPA's national program systems, other federal agencies, and State and tribal master facility records and provides EPA with a centrally managed, single source of comprehensive and authoritative information on facilities. This data set contains the subset of FRS facilities that link to Brownfields sites once the ACRES data has been integrated into the FRS database. Additional information on FRS is available at the EPA website https://www.epa.gov/enviro/facility-registry-service-frs.

Land preservation data shows acres preserved by federal, state, and local programs that either acquire land preservation easements or acquire land in fee; data for each program is provided for each of Maryland’s 23 counties and Baltimore City.

United States Long Term Projections: Oats: Harvested Acres data was reported at 0.700 Acre mn in 2034. This stayed constant from the previous number of 0.700 Acre mn for 2033. United States Long Term Projections: Oats: Harvested Acres data is updated yearly, averaging 0.700 Acre mn from Dec 2022 (Median) to 2034, with 13 observations. The data reached an all-time high of 0.900 Acre mn in 2022 and a record low of 0.700 Acre mn in 2034. United States Long Term Projections: Oats: Harvested Acres data remains active status in CEIC and is reported by U.S. Department of Agriculture. The data is categorized under Global Database’s United States – Table US.RI006: Agricultural Projections: Feed Grains: Oats.

The California Department of Forestry and Fire Protection's Fire and Resource Assessment Program (FRAP) annually maintains and distributes an historical wildland fire perimeter dataset from across public and private lands in California. The GIS data is developed with the cooperation of the United States Forest Service Region 5, the Bureau of Land Management, California State Parks, National Park Service and the United States Fish and Wildlife Service and is released in the spring with added data from the previous calendar year. Although the dataset represents the most complete digital record of fire perimeters in California, it is still incomplete, and users should be cautious when drawing conclusions based on the data.

This data should be used carefully for statistical analysis and reporting due to missing perimeters (see Use Limitation in metadata). Some fires are missing because historical records were lost or damaged, were too small for the minimum cutoffs, had inadequate documentation or have not yet been incorporated into the database. Other errors with the fire perimeter database include duplicate fires and over-generalization. Additionally, over-generalization, particularly with large old fires, may show unburned "islands" within the final perimeter as burned. Users of the fire perimeter database must exercise caution in application of the data. Careful use of the fire perimeter database will prevent users from drawing inaccurate or erroneous conclusions from the data. This data is updated annually in the spring with fire perimeters from the previous fire season. This dataset may differ in California compared to that available from the National Interagency Fire Center (NIFC) due to different requirements between the two datasets. The data covers fires back to 1878. As of May 2025, it represents fire24_1.

Please help improve this dataset by filling out this survey with feedback:

Historic Fire Perimeter Dataset Feedback (arcgis.com)

Current criteria for data collection are as follows:

CAL FIRE (including contract counties) submit perimeters ≥10 acres in timber, ≥50 acres in brush, or ≥300 acres in grass, and/or ≥3 impacted residential or commercial structures, and/or caused ≥1 fatality.

All cooperating agencies submit perimeters ≥10 acres.

Version update:

Firep24_1 was released in April 2025. Five hundred forty-eight fires from the 2024 fire season were added to the database (2 from BIA, 56 from BLM, 197 from CAL FIRE, 193 from Contract Counties, 27 from LRA, 8 from NPS, 55 from USFS and 8 from USFW). Six perimeters were added from the 2025 fire season (as a special case due to an unusual January fire siege). Five duplicate fires were removed, and the 2023 Sage was replaced with a more accurate perimeter. There were 900 perimeters that received updated attribution (705 removed “FIRE” from the end of Fire Name field and 148 replaced Complex IRWIN ID with Complex local incident number for COMPLEX_ID field). The following fires were identified as meeting our collection criteria but are not included in this version and will hopefully be added in a future update: Addie (2024-CACND-002119), Alpaugh (2024-CACND-001715), South (2024-CATIA-001375). One perimeter is missing containment date that will be updated in the next release.

Cross checking CALFIRS reporting for new CAL FIRE submissions to ensure accuracy with cause class was added to the compilation process. The cause class domain description for “Powerline” was updated to “Electrical Power” to be more inclusive of cause reports.

Includes separate layers filtered by criteria as follows:

California Fire Perimeters (All): Unfiltered. The entire collection of wildfire perimeters in the database. It is scale dependent and starts displaying at the country level scale.

Recent Large Fire Perimeters (≥5000 acres): Filtered for wildfires greater or equal to 5,000 acres for the last 5 years of fires (2020-January 2025), symbolized with color by year and is scale dependent and starts displaying at the country level scale. Year-only labels for recent large fires.

California Fire Perimeters (1950+): Filtered for wildfires that started in 1950-January 2025. Symbolized by decade, and display starting at country level scale.

Detailed metadata is included in the following documents:

Wildland Fire Perimeters (Firep24_1) Metadata

For any questions, please contact the data steward:

Kim Wallin, GIS Specialist

CAL FIRE, Fire & Resource Assessment Program (FRAP)

kimberly.wallin@fire.ca.gov

United States Long Term Projections: Wheat: Planted Acres data was reported at 45.500 Acre mn in 2034. This stayed constant from the previous number of 45.500 Acre mn for 2033. United States Long Term Projections: Wheat: Planted Acres data is updated yearly, averaging 45.500 Acre mn from Dec 2022 (Median) to 2034, with 13 observations. The data reached an all-time high of 49.575 Acre mn in 2023 and a record low of 45.500 Acre mn in 2034. United States Long Term Projections: Wheat: Planted Acres data remains active status in CEIC and is reported by U.S. Department of Agriculture. The data is categorized under Global Database’s United States – Table US.RI013: Agricultural Projections: Wheat.

United States Long Term Projections: Oats: Planted Acres data was reported at 2.200 Acre mn in 2034. This stayed constant from the previous number of 2.200 Acre mn for 2033. United States Long Term Projections: Oats: Planted Acres data is updated yearly, averaging 2.200 Acre mn from Dec 2022 (Median) to 2034, with 13 observations. The data reached an all-time high of 2.600 Acre mn in 2022 and a record low of 2.200 Acre mn in 2034. United States Long Term Projections: Oats: Planted Acres data remains active status in CEIC and is reported by U.S. Department of Agriculture. The data is categorized under Global Database’s United States – Table US.RI006: Agricultural Projections: Feed Grains: Oats.

United States Long Term Projections: Corn: Planted Acres data was reported at 88.500 Acre mn in 2034. This records a decrease from the previous number of 89.000 Acre mn for 2033. United States Long Term Projections: Corn: Planted Acres data is updated yearly, averaging 89.500 Acre mn from Dec 2022 (Median) to 2034, with 13 observations. The data reached an all-time high of 94.641 Acre mn in 2023 and a record low of 88.500 Acre mn in 2034. United States Long Term Projections: Corn: Planted Acres data remains active status in CEIC and is reported by U.S. Department of Agriculture. The data is categorized under Global Database’s United States – Table US.RI005: Agricultural Projections: Feed Grains: Corn.

United States Long Term Projections: Corn: Harvested Acres data was reported at 80.600 Acre mn in 2034. This records a decrease from the previous number of 81.100 Acre mn for 2033. United States Long Term Projections: Corn: Harvested Acres data is updated yearly, averaging 81.600 Acre mn from Dec 2022 (Median) to 2034, with 13 observations. The data reached an all-time high of 86.506 Acre mn in 2023 and a record low of 79.100 Acre mn in 2022. United States Long Term Projections: Corn: Harvested Acres data remains active status in CEIC and is reported by U.S. Department of Agriculture. The data is categorized under Global Database’s United States – Table US.RI005: Agricultural Projections: Feed Grains: Corn.

United States Long Term Projections: Upland Cotton: Planted Acres data was reported at 10,850.000 Acre mn in 2034. This stayed constant from the previous number of 10,850.000 Acre mn for 2033. United States Long Term Projections: Upland Cotton: Planted Acres data is updated yearly, averaging 10,800.000 Acre mn from Dec 2022 (Median) to 2034, with 13 observations. The data reached an all-time high of 10,974.000 Acre mn in 2024 and a record low of 13.600 Acre mn in 2022. United States Long Term Projections: Upland Cotton: Planted Acres data remains active status in CEIC and is reported by U.S. Department of Agriculture. The data is categorized under Global Database’s United States – Table US.RI012: Agricultural Projections: Upland Cotton.

The "Restoration Acres" feature layer is a component of the "Pollinator Restoration 2022" map which is itself a component of the "USFWS Pollinator Restoration Projects Mapper" which is a dashboard showing management projects that benefit pollinators across the Western U.S. See below for a description of the "USFWS Pollinator Restoration Projects Mapper."The "USFWS Pollinator Restoration Projects Mapper" is under development by the Region 1 (Pacific Northwest) USFWS Science Applications program. Completion is anticipated by Winter 2023. Contact: Alan Yanahan (alan_yanahan@fws.gov).The purpose of the "USFWS Pollinator Restoration Projects Mapper" is to inform future pollinator conservation efforts by providing a way to identify geographic areas where additional pollinator conservation may be needed.The "USFWS Pollinator Restoration Projects Mapper" maps the locations of where on-the-ground projects that are beneficial to pollinators have taken place. Its primary focus is projects on public lands. The majority of records included in this tool come from internal databases for the USFWS, US Forest Service, and the Bureau of Land Management, which were queried for relevant projects. The tool is not intended as a database for reporting projects to. Rather, the tool synthesizes records from existing databases.The geographic scope of the tool includes the western states of Arizona, California, Idaho, Nevada, Oregon, Utah, and Washington.When possible, the tool includes projects from 2014 to the present. This timespan was chosen because it matches the timespan of the USFWS Monarch Conservation Database For consistency, the tool groups pollinator beneficial projects into the following four activity types:Restoration: Actions taken after a disturbance, such as planting native forbs after a wildfireMaintenance: Actions taken outside the growing season that maintain habitat quality through regular disturbance using manual or chemical means. Examples: mowing, spraying weeds, prescribed fireConservation: Acquiring land or creating easements that are managed for biodiversityEnhancement: Actions that increase forb diversity and nectar resources, such as planting native milkweedThe tool includes a map that aggregates project point locations within 49 square mile sized hexagon grid cells. Users can click on individual grid cells to activate a pop-up menu to cycle through the projects that occurred within that grid cell. Information for each project include, but are not limited to, acreage, type of activity (i.e., restoration, maintenance, conservation, enhancement), data source, and lead organization.The tool also includes a dashboard to view bar graphs and pie charts that display project acreages and project number based on location (i.e., state), project activity type (i.e., restoration, maintenance, conservation, enhancement), data source, and management type. Data can be filtered by data source, activity type, and year. Data filtering will update the map, bar graphs, and pie charts.

About this dataset

Context

The dataset tabulates the Reile''S Acres population by gender and age. The dataset can be utilized to understand the gender distribution and demographics of Reile''S Acres.

Content

The dataset constitues the following two datasets across these two themes

• Reile''S Acres, ND Population Breakdown by Gender
• Reile''S Acres, ND Population Breakdown by Gender and Age

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/.

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.

📈 Daily Historical Stock Price Data for ACRES Commercial Realty Corp. (2006–2025)

A clean, ready-to-use dataset containing daily stock prices for ACRES Commercial Realty Corp. from 2006-02-07 to 2025-05-28. This dataset is ideal for use in financial analysis, algorithmic trading, machine learning, and academic research.

  🗂️ Dataset Overview

Company: ACRES Commercial Realty Corp. Ticker Symbol: ACR Date Range: 2006-02-07 to 2025-05-28 Frequency: Daily Total Records:… See the full description on the dataset page: https://huggingface.co/datasets/khaledxbenali/daily-historical-stock-price-data-for-acres-commercial-realty-corp-20062025.

Maintain the number of contaminated land acres cleaned at 100 acres every year through 2017.

This dataset provides information about the number of properties, residents, and average property values for Acres Drive cross streets in Ridley Park, PA.

This dataset provides information about the number of properties, residents, and average property values for Acres Drive cross streets in Tecumseh, MI.

This dataset provides information about the number of properties, residents, and average property values for Acres Street cross streets in Burlington, IA.

About this dataset

Context

The dataset tabulates the data for the Henlopen Acres, DE population pyramid, which represents the Henlopen Acres population distribution across age and gender, using estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. It lists the male and female population for each age group, along with the total population for those age groups. Higher numbers at the bottom of the table suggest population growth, whereas higher numbers at the top indicate declining birth rates. Furthermore, the dataset can be utilized to understand the youth dependency ratio, old-age dependency ratio, total dependency ratio, and potential support ratio.

Key observations

• Youth dependency ratio, which is the number of children aged 0-14 per 100 persons aged 15-64, for Henlopen Acres, DE, is 6.3.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Henlopen Acres, DE, is 196.8.
• Total dependency ratio for Henlopen Acres, DE is 203.2.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Henlopen Acres, DE is 0.5.

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 for the Henlopen Acres population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Henlopen Acres for the selected age group is shown in the following column.
• Population (Female): The female population in the Henlopen Acres for the selected age group is shown in the following column.
• Total Population: The total population of the Henlopen Acres for the selected age group is shown in the following column.

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 Henlopen Acres Population by Age. You can refer the same here

About this dataset

Context

The dataset tabulates the Reile'S Acres 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 Reile'S Acres. The dataset can be utilized to understand the population distribution of Reile'S Acres by age. For example, using this dataset, we can identify the largest age group in Reile'S Acres.

Key observations

The largest age group in Reile''S Acres, ND was for the group of age 50 to 54 years years with a population of 147 (16.55%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Reile''S Acres, ND 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 Reile'S Acres is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Reile'S Acres 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 Reile'S Acres Population by Age. You can refer the same here