Explore the substantial exposure to this hazard that could affect 64% of the structures in the City.

View maps of flood hazards and property at risk.

This hazard periodically affects the City’s water supply and tourism economy.

The North American Rail Network (NARN) Rail Lines: Class I Freight Railroads View dataset is from the Federal Railroad Administration (FRA) and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics (BTS) National Transportation Atlas Database (NTAD). This dataset is a subset of the NARN Rail Lines dataset that show the ownership and trackage rights for all the Class I freight railroads: “Burlington Northern and Santa Fe (BNSF),” "Canadian National (CN) Railway," "Canadian Pacific (CP) Railway," "CSX Transportation," "Norfolk Southern (NS) Railway," "Kansas City Southern (KCS) Railway," and "Union Pacific (UP)". It is derived from the North American Rail Network (NARN) Lines dataset, and for more information please consult, https://doi.org/10.21949/1519415. The NARN Rail Lines dataset is a database that provides ownership, trackage rights, type, passenger, STRACNET, and geographic reference for North America's railway system at 1:24,000 or better within the United States. The data set covers all 50 States, the District of Columbia, Mexico, and Canada. A data dictionary, or other source of attribute information, is accessible at https://doi.org/10.21949/1528950

This map features new data from the US CDC, mapping Behavioral Risk Factors Data at the Census Tract level for the first time.For more info, see the CDC webpage on Chronic Disease and Health Promotion Data & Indicators: https://chronicdata.cdc.gov/health-area/behavioral-risk-factors.NMCDC has built the feature service that runs this map and made it available for sharing on your own AGOL map. It contains 27 adult behavioral risk factors for 206 census tracts in NM's four major cities (Albuquerque, Rio Rancho, Santa Fe and Las Cruces). Feature service information at - http://nmcdc.maps.arcgis.com/home/item.html?id=bd74a088596e48358b22ae76a32a2631#overview "The purpose of the 500 Cities Project is to provide city- and census tract-level small area estimates for chronic disease risk factors, health outcomes, and clinical preventive service use for the largest 500 cities in the United States. These small area estimates will allow cities and local health departments to better understand the burden and geographic distribution of health-related variables in their jurisdictions, and assist them in planning public health interventions. Learn more about the 500 Cities Project(https://www.cdc.gov/500cities/about.htm)."

City, town, village, and place boundaries within the 13-county region H-GAC. The cities, towns, and villages include: Alvin, Ames, Anahuac, Angleton, Arcola, Bailey's Prairie, Barrett, Bay City, Bayou Vista, Baytown, Beach City, Beasley, Bellaire, Bellville, Bonney, Brazoria, Brazos Country, Brookshire, Brookside Village, Bunker Hill Village, Clear Lake Shores, Cleveland, Clute, Columbus, Conroe, Cove, Cut and Shoot, Daisetta, Danbury, Dayton, Dayton Lakes, Deer Park, Devers, Dickinson, Eagle Lake, East Bernard, El Campo, El Lago, Fairchilds, Freeport, Friendswood, Fulshear, Galena Park, Galveston, Hardin, Hedwig Village, Hempstead, Hillcrest, Hilshire Village, Hitchcock, Holiday Lakes, Houston, Humble, Hunters Creek Village, Huntsville, Industry, Iowa Colony, Jacinto City, Jamaica Beach, Jersey Village, Jones Creek, Katy, Kemah, Kendleton, Kenefick, La Marque, La Porte, Lake Jackson, League City, Liberty, Liverpool, Magnolia, Manvel, Meadows Place, Missouri City, Mont Belvieu, Montgomery, Morgan's Point, Nassau Bay, Needville, New Waverly, North Cleveland, Oak Ridge North, Old River-Winfree, Orchard, Oyster Creek, Palacios, Panorama Village, Pasadena, Pattison, Patton Village, Pearland, Pine Island, Piney Point Village, Pleak, Plum Grove, Prairie View, Quintana, Richmond, Richwood, Riverside, Roman Forest, Rosenberg, San Felipe, Sandy Point, Santa Fe, Seabrook, Sealy, Shenandoah, Shoreacres, Simonton, Sourh Frydek, South Houston, Southside Place, Splendora, Spring Valley Village, Stafford, Stagecoach, Sugar Land, Surfside Beach, Sweeny, Taylor Lake Village, Texas City, Thompsons, Tiki Island, Tomball, Waller, Wallis, Webster, Weimar, West Columbia, West University Place, Weston Lakes, Wharton, Willis, Woodbranch, Woodloch. The census designated places (CDPs) include: Aldine, Atascocita, Bacliff, Barrett, Big Thicket Lake Estates, Blessing, Boling, Bolivar Peninsula, Channelview, Cinco Ranch, Cloverleaf, Crosby, Cumings, Damon, Deerwood, East Columbia, Fifth Street, Four Corners, Fresno, Garwood, Glidden, Grangerland, Highlands, Hull, Hungerford, Iago, Louise, Markham, Mataforda, Midfield, Mission Bend, Nada, New Ulm, Oak Island, Pecan Grove, Pinehurst, Porter Heights, Rock Island, Rosharon, San Leon, Sargent, Sheldon, Sheridan, Sienna, Spring, Stowell, The Woodlands, Van Vleck, Wadsworth, Wild Peach Village, Winnie.

This map features new data from the US CDC, mapping Behavioral Risk Factors Data and Trends at the Census Tract level.For more info, see the CDC webpage on Chronic Disease and Health Promotion Data & Indicators: https://chronicdata.cdc.gov/health-area/behavioral-risk-factors.NMCDC has built the feature service that runs this map and made it available for sharing on your own AGOL map. It contains 27 adult behavioral risk factors for 206 census tracts in NM's four major cities (Albuquerque, Rio Rancho, Santa Fe and Las Cruces). Responses can be explored for two time periods (2014 and 2017), and trends over time are also dislayed.Feature service information at - https://nmcdc.maps.arcgis.com/home/item.html?id=2a261f56deb5452982233de0f87a6dd2#overview"The purpose of the 500 Cities Project is to provide city- and census tract-level small area estimates for chronic disease risk factors, health outcomes, and clinical preventive service use for the largest 500 cities in the United States. These small area estimates will allow cities and local health departments to better understand the burden and geographic distribution of health-related variables in their jurisdictions, and assist them in planning public health interventions. Learn more about the 500 Cities Project(https://www.cdc.gov/500cities/about.htm)."

This map features new data from the US CDC, mapping Behavioral Risk Factors Data at the Census Tract level for the first time.For more info, see the CDC webpage on Chronic Disease and Health Promotion Data & Indicators: https://chronicdata.cdc.gov/health-area/behavioral-risk-factors.NMCDC has built the feature service that runs this map and made it available for sharing on your own AGOL map. It contains 27 adult behavioral risk factors for 206 census tracts in NM's four major cities (Albuquerque, Rio Rancho, Santa Fe and Las Cruces). Feature service information at - http://nmcdc.maps.arcgis.com/home/item.html?id=bd74a088596e48358b22ae76a32a2631#overview "The purpose of the 500 Cities Project is to provide city- and census tract-level small area estimates for chronic disease risk factors, health outcomes, and clinical preventive service use for the largest 500 cities in the United States. These small area estimates will allow cities and local health departments to better understand the burden and geographic distribution of health-related variables in their jurisdictions, and assist them in planning public health interventions. Learn more about the 500 Cities Project(https://www.cdc.gov/500cities/about.htm)."

This map features new data from the US CDC, mapping Behavioral Risk Factors Data and Trends at the Census Tract level.For more info, see the CDC webpage on Chronic Disease and Health Promotion Data & Indicators: https://chronicdata.cdc.gov/health-area/behavioral-risk-factors.NMCDC has built the feature service that runs this map and made it available for sharing on your own AGOL map. It contains 27 adult behavioral risk factors for 206 census tracts in NM's four major cities (Albuquerque, Rio Rancho, Santa Fe and Las Cruces). Responses can be explored for two time periods (2014 and 2017), and trends over time are also dislayed.Feature service information at - https://nmcdc.maps.arcgis.com/home/item.html?id=2a261f56deb5452982233de0f87a6dd2#overview"The purpose of the 500 Cities Project is to provide city- and census tract-level small area estimates for chronic disease risk factors, health outcomes, and clinical preventive service use for the largest 500 cities in the United States. These small area estimates will allow cities and local health departments to better understand the burden and geographic distribution of health-related variables in their jurisdictions, and assist them in planning public health interventions. Learn more about the 500 Cities Project(https://www.cdc.gov/500cities/about.htm)."

This map features new data from the US CDC, mapping Behavioral Risk Factors Data and Trends at the Census Tract level.For more info, see the CDC webpage on Chronic Disease and Health Promotion Data & Indicators: https://chronicdata.cdc.gov/health-area/behavioral-risk-factors.NMCDC has built the feature service that runs this map and made it available for sharing on your own AGOL map. It contains 27 adult behavioral risk factors for 206 census tracts in NM's four major cities (Albuquerque, Rio Rancho, Santa Fe and Las Cruces). Responses can be explored for two time periods (2014 and 2017), and trends over time are also dislayed.Feature service information at - https://nmcdc.maps.arcgis.com/home/item.html?id=2a261f56deb5452982233de0f87a6dd2#overview"The purpose of the 500 Cities Project is to provide city- and census tract-level small area estimates for chronic disease risk factors, health outcomes, and clinical preventive service use for the largest 500 cities in the United States. These small area estimates will allow cities and local health departments to better understand the burden and geographic distribution of health-related variables in their jurisdictions, and assist them in planning public health interventions. Learn more about the 500 Cities Project(https://www.cdc.gov/500cities/about.htm)."

Microsoft recently released a free set of deep learning generated building footprints covering the United States of America. As part of that project Microsoft shared 8 million digitized building footprints with height information used for training the Deep Learning Algorithm. This map layer includes all buildings with height information for the original training set that can be used in scene viewer and ArcGIS pro to create simple 3D representations of buildings. Learn more about the Microsoft Project at the Announcement Blog or the raw data is available at Github.Click see Microsoft Building Layers in ArcGIS Online.Digitized building footprint by State and City

Alabama Greater Phoenix City, Mobile, and Montgomery

Arizona Tucson

Arkansas Little Rock with 5 buildings just across the river from Memphis

California Bakersfield, Fresno, Modesto, Santa Barbara, Sacramento, Stockton, Calaveras County, San Fran & bay area south to San Jose and north to Cloverdale

Colorado Interior of Denver

Connecticut Enfield and Windsor Locks

Delaware Dover

Florida Tampa, Clearwater, St. Petersburg, Orlando, Daytona Beach, Jacksonville and Gainesville

Georgia Columbus, Atlanta, and Augusta

Illinois East St. Louis, downtown area, Springfield, Champaign and Urbana

Indiana Indianapolis downtown and Jeffersonville downtown

Iowa Des Moines

Kansas Topeka

Kentucky Louisville downtown, Covington and Newport

Louisiana Shreveport, Baton Rouge and center of New Orleans

Maine Augusta and Portland

Maryland Baltimore

Massachusetts Boston, South Attleboro, commercial area in Seekonk, and Springfield

Michigan Downtown Detroit

Minnesota Downtown Minneapolis

Mississippi Biloxi and Gulfport

Missouri Downtown St. Louis, Jefferson City and Springfield

Nebraska Lincoln

Nevada Carson City, Reno and Los Vegas

New Hampshire Concord

New Jersey Camden and downtown Jersey City

New Mexico Albuquerque and Santa Fe

New York Syracuse and Manhattan

North Carolina Greensboro, Durham, and Raleigh

North Dakota Bismarck

Ohio Downtown Cleveland, downtown Cincinnati, and downtown Columbus

Oklahoma Downtown Tulsa and downtown Oklahoma City

Oregon Portland

Pennsylvania Downtown Pittsburgh, Harrisburg, and Philadelphia

Rhode Island The greater Providence area

South Carolina Greensville, downtown Augsta, greater Columbia area and greater Charleston area

South Dakota greater Pierre area

Tennessee Memphis and Nashville

Texas Lubbock, Longview, part of Fort Worth, Austin, downtown Houston, and Corpus Christi

Utah Salt Lake City downtown

Virginia Richmond

Washington Greater Seattle area to Tacoma to the south and Marysville to the north

Wisconsin Green Bay, downtown Milwaukee and Madison

Wyoming Cheyenne