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24072 locations

16 attributes

DHL Facilities (from HIFLD Open - Mail Shipping)

Shared by HIFLD_Admin on June 22, 2017. updated 2 days ago.
DHL is the leading global brand in the logistics industry. Logistic services range from national and international parcel delivery, international express, road, air and ocean transport to industrial supply chain management. With specialized solutions for growth markets and industries including e-commerce, technology, life sciences and healthcare, energy, automotive and retail, a proven commitment to corporate responsibility and an unrivalled presence in developing markets, DHL is decisively positioned as “The logistics company for the world”.
48821 locations

14 attributes

FedEx Facilities (from HIFLD Open - Mail Shipping)

Shared by HIFLD_Admin on June 22, 2017. updated 2 days ago.
FedEx includes a diverse portfolio of transportation, e-commerce, and business solutions. FedEx air, ground and sea networks cover more than 220 countries and territories, linking more than 99 percent of the world’s GDP. FedEx provides high-value-added logistics, transportation, and related business services through focused operating companies. This dataset represents the physical locations for the purchase of FedEx services and the locations where packages can be dropped off for shipping.
321922 locations

19 attributes

Microwave Service Towers (from HIFLD Open - Communications)

Shared by HIFLD_Admin on June 22, 2017. updated 3 days ago.
This file is an extract of the Universal Licensing System (ULS) licensed by the Wireless Telecommunications Bureau (WTB). It consists of Microwave Transmitters (see Rule Part: Fixed Microwave Service (47 CFR Part 101)). This file serves as base information for use in GIS systems for general planning, analytical, and research purposes. It is not intended for engineering work or to legally define FCC licensee data or FCC market boundaries. The material in these data and text files are provided as-is. The FCC disclaims all warranties with regard to the contents of these files, including their fitness. In no event shall the FCC be liable for any special, indirect, or consequential damages whatsoever resulting from loss or use, data or profits, whether in connection with the use or performance of the contents of these files, action of contract, negligence, or other action arising out of, or in connection with the use of the contents of these files. It is known that there are some errors in the licensing information - Latitude, Longitude and Ground Elevation data as well as frequency assignment data from which these files were generated.
20032 locations

20 attributes

Streamflow Gaging Stations (from HIFLD Open - Natural Hazards)

Shared by HIFLD_Admin on June 22, 2017. updated 3 days ago.
This dataset shows selected streamflow gaging stations of the United States, Puerto Rico, and the U.S. Virgin Islands, in 2014. Gaging stations, or gages, measure the height (stage) and volume of flow at a point location on a water feature. Gages in this map layer were drawn from the National Hydrography Dataset Plus (NHDPlus) Version 1 Stream Gage Events, NHDPlus Version 2 National Data Gage Locations, and from the National Water Information System (NWIS) Web Interface. The gage positions were adjusted (snapped) using ArcGIS so that the gages were located directly on streams in the National Atlas map layer, 1:1,000,000-Scale Streams of the United States. The gages and streams also share attributes that link them together.
49317 locations

16 attributes

UPS Facilities (from HIFLD Open - Mail Shipping)

Shared by HIFLD_Admin on June 22, 2017. updated 3 days ago.
The locations of United Parcel Service (UPS) facilities.
993 locations

10 attributes

US Coal Fields (from HIFLD Open - Mining)

Shared by HIFLD_Admin on June 22, 2017. updated 3 days ago.
This data set shows the coal fields of Alaska and the conterminous United States. Most of the material for the conterminous United States was collected from James Trumbull's "Coal Fields of the United States, Conterminous United States" map (sheet 1, 1960). The Gulf Coast region was updated using generalized, coal-bearing geology obtained from State geologic maps. The Alaska coal fields were collected from Farrell Barnes's "Coal Fields of the United States, Alaska" map (sheet 2, 1961).
23611 locations

48 attributes

Local Law Enforcement Locations (from HIFLD Open - Law Enforcement)

Shared by HIFLD_Admin on June 22, 2017. updated 3 days ago.
Law Enforcement Locations in the United States Any location where sworn officers of a law enforcement agency are regularly based or stationed. Law Enforcement agencies "are publicly funded and employ at least one full-time or part-time sworn officer with general arrest powers". This is the definition used by the US Department of Justice - Bureau of Justice Statistics (DOJ-BJS) for their Law Enforcement Management and Administrative Statistics (LEMAS) survey. Although LEMAS only includes non Federal Agencies, this dataset includes locations for federal, state, local, and special jurisdiction law enforcement agencies. Law enforcement agencies include, but are not limited to, municipal police, county sheriffs, state police, school police, park police, railroad police, federal law enforcement agencies, departments within non law enforcement federal agencies charged with law enforcement (e.g., US Postal Inspectors), and cross jurisdictional authorities (e.g., Port Authority Police). In general, the requirements and training for becoming a sworn law enforcement officer are set by each state. Law Enforcement agencies themselves are not chartered or licensed by their state. County, city, and other government authorities within each state are usually empowered by their state law to setup or disband Law Enforcement agencies. Generally, sworn Law Enforcement officers must report which agency they are employed by to the state. Although TGS's intention is to only include locations associated with agencies that meet the above definition, TGS has discovered a few locations that are associated with agencies that are not publicly funded. TGS deleted these locations as we became aware of them, but some may still exist in this dataset. Personal homes, administrative offices, and temporary locations are intended to be excluded from this dataset; however, some personal homes of constables are included due to the fact that many constables work out of their homes. This also applies to mounted police in New Mexico. TGS has made a concerted effort to include all local police; county sheriffs; state police and/or highway patrol; Bureau of Indian Affairs; Bureau of Land Management; Bureau of Reclamation; U.S. Park Police; Bureau of Alcohol, Tobacco, Firearms, and Explosives; U.S. Marshals Service; U.S. Fish and Wildlife Service; National Park Service; U.S. Immigration and Customs Enforcement; and U.S. Customs and Border Protection in the United States and its territories. This dataset is comprised completely of license free data. At the request of NGA, FBI entities are intended to be excluded from this dataset, but a few may be included. The HSIP Freedom Law Enforcement dataset and the HSIP Freedom Correctional Institutions dataset were merged into one working file. TGS processed as one file and then separated for delivery purposes. Please see the process description for the breakdown of how the records were merged. With the merge of the Law Enforcement and the Correctional Institutions datasets, the HSIP Themes and NAICS Codes & Descriptions were assigned based on the facility's main function which was determined by the entity's name, facility type, web research, and state supplied data. In instances where the entity's primary function is both law enforcement and corrections, the NAICS Codes and Descriptions are assigned based on the dataset in which the record is located (i.e., a facility that serves as both a Sheriff's Office and as a jail is designated as [NAICSDESCR]="SHERIFFS' OFFICES (EXCEPT COURT FUNCTIONS ONLY)" in the Law Enforcement layer and as [NAICSDESCR]="JAILS (EXCEPT PRIVATE OPERATION OF)" in the Correctional Institutions layer). Records with "-DOD" appended to the end of the [NAME] value are located on a military base, as defined by the Defense Installation Spatial Data Infrastructure (DISDI) military installations and military range boundaries. "#" and "*" characters were automatically removed from standard HSIP fields that TGS populated. Double spaces were replaced by single spaces in these same fields. At the request of NGA, text fields in this dataset have been set to all upper case to facilitate consistent database engine search results. At the request of NGA, all diacritics (e.g., the German umlaut or the Spanish tilde) have been replaced with their closest equivalent English character to facilitate use with database systems that may not support diacritics. The currentness of this dataset is indicated by the [CONTDATE] field. Based on the values in this field, the oldest record dates from 12/07/2004 and the newest record dates from 09/10/2009.
46768 locations

34 attributes

Nursing Homes (from Base Data)

Shared by HIFLD_Admin on November 25, 2016. updated 5 days ago.
The Nursing Home / Assisted Care shapefile contains facilities that house elderly adults. This shapefile’s attribution contains physical and demographic information for facilities in the continental United States, Hawaii, Alaska, District of Columbia and Puerto Rico. The purpose of this shapefile is to provide accurate locations for high concentrations of elderly adults in the event of a disaster. The attribution within this shapefile was populated via open source methodologies of authoritative sources.
7331 locations

34 attributes

Hospitals (from Base Data)

Shared by HIFLD_Admin on February 8, 2017. updated 5 days ago.
This database contains locations of Hospitals for 50 US states, Washington D.C., US territories of Puerto Rico, Guam, American Samoa, Northern Mariana Islands, Palau, and Virgin Islands. The dataset only includes hospital facilities based on data acquired from various state departments or federal sources which has been referenced in the SOURCE field. Hospital facilities which do not occur in these sources will be not present in the database. The source data was available in a variety of formats (pdfs, tables, webpages, etc.) which was cleaned and geocoded and then converted into a spatial database. The database does not contain nursing homes or health centers. Hospitals have been categorized into children, chronic disease, critical access, general acute care, long term care, military, psychiatric, rehabilitation, special, and women based on the range of the available values from the various sources after removing similarities.
31593 locations

23 attributes

Hurricane Evacuation Routes (from Base Data)

Shared by HIFLD_Admin on February 10, 2016. updated 5 days ago.
This dataset represents hurricane evacuation routes in the United States. A hurricane evacuation route is a designated route used to direct traffic inland in case of a hurricane threat. This dataset is based on supplied data from gulf coast and Atlantic seaboard states. Each state was contacted by TGS to determine an official source for hurricane evacuation routes. GIS data were gathered from states willing to share such data. In cases where states were unable, or unwilling to share data in this format, TGS requested that the states provide a source for identifying hurricane evacuation routes. The states usually identified a website that made this data available to the public. Three (3) states (ME, NY, and NH) indicated that they do not maintain public maps showing hurricane evacuation routes and were unable, or unwilling to share GIS files depicting such routes. Hurricane evacuation routes depicted on non-GIS maps were digitized using aerial orthoimagery while referencing supplied maps. Shapefiles that depicted hurricane evacuation routes were edge matched and merged with the digitized evacuation routes. All routes identified as primary hurricane evacuation routes were included in this dataset. If a state also designated secondary hurricane evacuation routes, they were included as well. Routes depicted in this dataset are dependent upon what each state identified as a hurricane evacuation route. Criteria used to identify these routes may vary from state to state.