8 1/2 x 11 PDF of Oregon Congressional and legislative districts adopted in SB 882 in 2021.PDF Maps:PDF Maps: Oregon Redistricting (arcgis.com)Oregon Redistricting Website:https://www.oregonlegislature.gov/redistricting/

Geospatial data about Florence County, South Carolina Water Mains. Export to CAD, GIS, PDF, CSV and access via API.

Geospatial data about Florence County, South Carolina Sewer Manhole. Export to CAD, GIS, PDF, CSV and access via API.

This map takes the entire path of the Hurricane Florence based on the National Hurricane Center storm history. Plotting the storm's center location and the areal extent of the tropical storm and hurricane wind field.Within each point is a visible satellite image that shows what Florence looked like at that time, with each point being a notable time during its lifecycle.Data originated from: https://www.nhc.noaa.gov/gis/Embedded within the StoryMap linked here

Geospatial data about Florence County, South Carolina Subdivisions. Export to CAD, GIS, PDF, CSV and access via API.

These data were automated to provide an accurate high-resolution historical shoreline of Vandemere to Florence, NC suitable as a geographic information system (GIS) data layer. These data are derived from shoreline maps that were produced by the NOAA National Ocean Service including its predecessor agencies which were based on an office interpretation of imagery and/or field survey. The NGS attribution scheme 'Coastal Cartographic Object Attribute Source Table (C-COAST)' was developed to conform the attribution of various sources of shoreline data into one attribution catalog. C-COAST is not a recognized standard, but was influenced by the International Hydrographic Organization's S-57 Object-Attribute standard so the data would be more accurately translated into S-57. This resource is a member of https://inport.nmfs.noaa.gov/inport/item/39808

This is a cumulative total precipitation impact map for Hurricane Florence on 09/21/2018 for the past 7 days. Click on the numbers for more detailed information on who or what may have been impacted.This analysis was completed using the Enrich Layer tool in ArcGIS Online. For more information on how data is summarized using GeoEnrichment see this explanation.Original 7 day total precipitation from NOAA and the National Weather Service.

These data were automated to provide an accurate high-resolution historical shoreline of Shady Banks to Florence, NC suitable as a geographic information system (GIS) data layer. These data are derived from shoreline maps that were produced by the NOAA National Ocean Service including its predecessor agencies which were based on an office interpretation of imagery and/or field survey. The NGS attribution scheme 'Coastal Cartographic Object Attribute Source Table (C-COAST)' was developed to conform the attribution of various sources of shoreline data into one attribution catalog. C-COAST is not a recognized standard, but was influenced by the International Hydrographic Organization's S-57 Object-Attribute standard so the data would be more accurately translated into S-57. This resource is a member of https://inport.nmfs.noaa.gov/inport/item/39808

These data provide an accurate high-resolution shoreline compiled from imagery of St Johns River, Jacksonville to Florence, FL . This vector shoreline data is based on an office interpretation of imagery that may be suitable as a geographic information system (GIS) data layer. This metadata describes information for both the line and point shapefiles. The NGS attribution scheme 'Coastal Cartographic Object Attribute Source Table (C-COAST)' was developed to conform the attribution of various sources of shoreline data into one attribution catalog. C-COAST is not a recognized standard, but was influenced by the International Hydrographic Organization's S-57 Object-Attribute standard so the data would be more accurately translated into S-57. This resource is a member of https://inport.nmfs.noaa.gov/inport/item/39808

This dataset provides information about the number of properties, residents, and average property values for Gregg Avenue cross streets in Florence, SC.

Esri ArcGIS Online (AGOL) Imagery Layer for accessing the MDOT SHA Hurricane Florence Models - Flood Depth Grid geospatial data product.MDOT SHA Hurricane Florence Models - Flood Depth Grid consists of an image service showing predicted storm surge heights during an event similar to Hurricane Florence (2018). This data seeks to replicate conditions of an event of similar magnitude.In light of the significant damage in the state of North Carolina caused by the storm surge from Hurricane Florence on September 14, 2018, concerns about the vulnerability of the coastal communities on the Atlantic coast of Maryland and in Maryland’s portion of the Chesapeake Bay have come into focus. This data showcases a what-if scenario for coastal Maryland.MDOT SHA Hurricane Florence Models - Flood Depth Grid was produced as a result of efforts by the Maryland Department of Transportation State Highway Administration (MDOT SHA), Eastern Shore Regional GIS Cooperative (ESRGC), Salisbury University (SU), National Oceanic & Atmospheric Administration (NOAA), and the United States Geological Survey (USGS). This data was task-based, and will only be updated on an As-Needed basis where necessary.Last Updated: 10/04/2019For complete project overview and metadata information:Website: https://www.esrgc.org/project/sha-to7For more information about the data, contact Eastern Shore Regional GIS Cooperative (ESRGC):Email: esrgc@salisbury.eduFor more information, contact MDOT SHA OIT Enterprise Information Services:Email: GIS@mdot.maryland.gov

These data were automated to provide an accurate high-resolution historical shoreline of Shady Banks to Florence, NC suitable as a geographic information system (GIS) data layer. These data are derived from shoreline maps that were produced by the NOAA National Ocean Service including its predecessor agencies which were based on an office interpretation of imagery and/or field survey. The NGS attribution scheme 'Coastal Cartographic Object Attribute Source Table (C-COAST)' was developed to conform the attribution of various sources of shoreline data into one attribution catalog. C-COAST is not a recognized standard, but was influenced by the International Hydrographic Organization's S-57 Object-Attribute standard so the data would be more accurately translated into S-57. This resource is a member of https://inport.nmfs.noaa.gov/inport/item/39808

The NASA Disasters Mapping Portal contains derived products for disaster response. The Disasters Applications area promotes the use of Earth observations to improve prediction of, preparation for, response to, and recovery from natural and technological disasters. Disaster applications and applied research on natural hazards support emergency mitigation approaches, such as early warning systems, and providing information and maps to disaster response and recovery teams.

Graph and download economic data for Market Hotness: Page View Count per Property in Florence, SC (CBSA) (LDPEPRMMMSA22500) from Sep 2017 to May 2025 about Florence, SC, listing, and USA.

The aerial photography missions were conducted by the NOAA Remote Sensing Division. The images were acquired from an altitude of 2500 to 5000 feet, using a Trimble Digital Sensor System (DSS). For more details, see the metadata here - https://storms.ngs.noaa.gov/storms/florence/download/metadata.html

The GIS dataset is showing the land use and land cover of Central Germany on a 500x500 m grid. Central Germany covers the area of the federal states of Saxony, Saxony-Anhalt and Thuringia. The data is based on the Corine Land Cover (CLC) map, the German Soil Map BUEK, Natural protection areas of the BfN and statistics. For further information please see the metadata Excel sheet as well as Wochele, S., Priess, J., Thrän, D., O’Keeffe, S., (2014): Crop allocation model “CRAM” - an approach for dealing with biomass supply from arable land as part of a life cycle inventory. 22nd European Biomass Conference and Exhibition, CCH -Congress Center Hamburg, 24-25 June 2014 EU BC&E Proceedings 2014, ETA-Florence Renewable Energies, Florence. doi: 10.5071/22ndEUBCE2014-1AO.5.4

Esri ArcGIS Online (AGOL) Feature Layer for accessing the MDOT SHA Hurricane Florence Models - Inundated Parcels geospatial data product.MDOT SHA Hurricane Florence Models - Inundated Parcels data consists of polygon geometric features which represent property parcels throughout the State of Maryland predicted to be impacted by storm surge during an event similar to Hurricane Florence (2018). This data seeks to replicate conditions of an event of similar magnitude.In light of the significant damage in the state of North Carolina caused by the storm surge from Hurricane Florence on September 14, 2018, concerns about the vulnerability of the coastal communities on the Atlantic coast of Maryland and in Maryland’s portion of the Chesapeake Bay have come into focus. This data showcases a what-if scenario for coastal Maryland.MDOT SHA Hurricane Florence Models - Inundated Parcels data was produced as a result of efforts by the Maryland Department of Transportation State Highway Administration (MDOT SHA), Eastern Shore Regional GIS Cooperative (ESRGC), Salisbury University (SU), National Oceanic & Atmospheric Administration (NOAA), and the United States Geological Survey (USGS). This data was task-based, and will only be updated on an As-Needed basis where necessary.Last Updated: 10/04/2019For complete project overview and metadata information:Website: https://www.esrgc.org/project/sha-to7For more information about the data, contact Eastern Shore Regional GIS Cooperative (ESRGC):Email: esrgc@salisbury.eduFor more information, contact MDOT SHA OIT Enterprise Information Services:Email: GIS@mdot.maryland.gov

This dataset provides information about the number of properties, residents, and average property values for Lucius Circle cross streets in Florence, SC.

Esri ArcGIS Online (AGOL) Imagery Layer for accessing the MDOT SHA Hurricane Florence Models - Flood Depth Grid geospatial data product.MDOT SHA Hurricane Florence Models - Flood Depth Grid consists of an image service showing predicted storm surge heights during an event similar to Hurricane Florence (2018). This data seeks to replicate conditions of an event of similar magnitude.In light of the significant damage in the state of North Carolina caused by the storm surge from Hurricane Florence on September 14, 2018, concerns about the vulnerability of the coastal communities on the Atlantic coast of Maryland and in Maryland’s portion of the Chesapeake Bay have come into focus. This data showcases a what-if scenario for coastal Maryland.MDOT SHA Hurricane Florence Models - Flood Depth Grid was produced as a result of efforts by the Maryland Department of Transportation State Highway Administration (MDOT SHA), Eastern Shore Regional GIS Cooperative (ESRGC), Salisbury University (SU), National Oceanic & Atmospheric Administration (NOAA), and the United States Geological Survey (USGS). This data was task-based, and will only be updated on an As-Needed basis where necessary.Last Updated: 10/04/2019For complete project overview and metadata information:Website: https://www.esrgc.org/project/sha-to7For more information about the data, contact Eastern Shore Regional GIS Cooperative (ESRGC):Email: esrgc@salisbury.eduFor more information, contact MDOT SHA OIT Enterprise Information Services:Email: GIS@mdot.maryland.gov

Market Hotness: Listing Views per Property in Florence, SC (CBSA) was -13.67091 % Chg. from Yr. Ago in April of 2025, according to the United States Federal Reserve. Historically, Market Hotness: Listing Views per Property in Florence, SC (CBSA) reached a record high of 100.96039 in December of 2020 and a record low of -33.39517 in December of 2024. Trading Economics provides the current actual value, an historical data chart and related indicators for Market Hotness: Listing Views per Property in Florence, SC (CBSA) - last updated from the United States Federal Reserve on June of 2025.