Description: The Nursing Home / Assisted Care feature class/shapefile contains facilities that house elderly adults. This feature class’s/shapefile's attribution contains physical and demographic information for facilities in the continental United States and some of its territories. The purpose of this feature class/shapefile is to provide accurate locations for high concentrations of elderly adults in the event of a disaster. The attribution within this feature class/shapefile was populated via open source methodologies of authoritative sources. During the update cycle for this deliverable, there were 905 records added and 407 facility closures.**** In April, 2024, MARIS staff extracted the Mississippi portion of this dataset. They then projected the shapefile into MSTM ***
Copyright Text: Oak Ridge National Laboratory (ORNL), National Geospatial-Intelligence Agency (NGA) Homeland Security Infrastructure Program (HSIP) Team, MARIS
Description: This Public Schools feature dataset is composed of all Public elementary and secondary education facilities in the United States as defined by the Common Core of Data (CCD, https://nces.ed.gov/ccd/ ), National Center for Education Statistics (NCES, https://nces.ed.gov ), US Department of Education for the 2019-2020 school year. This includes all Kindergarten through 12th grade schools as tracked by the Common Core of Data. Included in this dataset are military schools in US territories and referenced in the city field with an APO or FPO address. DOD schools represented in the NCES data that are outside of the United States or US territories have been omitted. This feature class contains all MEDS/MEDS+ as approved by NGA. Complete field and attribute information is available in the ”Entities and Attributes” metadata section. Geographical coverage is depicted in the thumbnail above and detailed in the Place Keyword section of the metadata. This release includes the addition of 3917 new records, modifications to the spatial location and/or attribution of 97,771 records, and removal of 4563 records not present in the NCES CCD data.
Copyright Text: Oak Ridge National Laboratory (ORNL) Geographic Information Science and Technology (GIST) Group, National Geospatial-Intelligence Agency (NGA) Homeland Security Infrastructure Program (HSIP) Team, MARIS
Description: Point locations of the Mississippi PrivateSchools as derived from privateschoolreview.com. It also includes various attributes about the schools and administrations. *** NOTE ***January 2017, MARIS staff reviewed the schools and locations to verify the data base was up to date,
Copyright Text: privateschoolreview.com, MARIS, USDA APFO, Google Earth
Description: The Airports database is a geographic point database of aircraft landing facilities in the United States and U.S. Territories. Attribute data is provided on the physical and operational characteristics of the landing facility, current usage including enplanements and aircraft operations, congestion levels and usage categories. This geospatial data is derived from the FAA's National Airspace System Resource Aeronautical Data Product*** NOTE April 2017, MARIS extracted the MS portion of this data set for distribution ***
Copyright Text: HIFLD_Admin , FAA's National Airspace System Resource Aeronautical Data Product
Description: This feature class/shapefile 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.In this version any information contained in ADDRESS2 field found in earlier versions of this dataset has been merged with the ADDRESS field and the ADDRESS2 field has been deleted.In this update 75 additional records were added and the TRAUMA field was populated for 574 additional hospitals.*** In April 2024, MARIS downloaded this January 2024 data set and extracted the Mississippi sites. They then projected the shapefile into MSTM. ***