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MD COVID-19 - Confirmed Deaths by Gender Distribution
opendata.maryland.gov | Last Updated 2024-06-11T15:45:43.000Z<b>Note:</b> Starting April 27, 2023 updates change from daily to weekly. <b>Summary</b> The cumulative number of confirmed COVID-19 deaths among Maryland residents by gender: Female; Male; Unknown. <b>Description</b> The MD COVID-19 - Confirmed Deaths by Gender Distribution data layer is a collection of the statewide confirmed and probable COVID-19 related deaths that have been reported each day by the Vital Statistics Administration by gender. A death is classified as confirmed if the person had a laboratory-confirmed positive COVID-19 test result. Some data on deaths may be unavailable due to the time lag between the death, typically reported by a hospital or other facility, and the submission of the complete death certificate. Probable deaths are available from the MD COVID-19 - Probable Deaths by Gender Distribution data layer. <b>Terms of Use</b> The Spatial Data, and the information therein, (collectively the "Data") is provided "as is" without warranty of any kind, either expressed, implied, or statutory. The user assumes the entire risk as to quality and performance of the Data. No guarantee of accuracy is granted, nor is any responsibility for reliance thereon assumed. In no event shall the State of Maryland be liable for direct, indirect, incidental, consequential or special damages of any kind. The State of Maryland does not accept liability for any damages or misrepresentation caused by inaccuracies in the Data or as a result to changes to the Data, nor is there responsibility assumed to maintain the Data in any manner or form. The Data can be freely distributed as long as the metadata entry is not modified or deleted. Any data derived from the Data must acknowledge the State of Maryland in the metadata.
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MD iMAP: Maryland SSURGO Soils - SSURGO Soils
opendata.maryland.gov | Last Updated 2020-01-25T00:26:55.000ZThis is a MD iMAP hosted service layer. Find more information at http://imap.maryland.gov. userdata and unzip the LayerFiles.zip folder.Data from the four SSURGO tables were assembled into the single table included in each map package. Data from the component table were aggregated using a dominant component model (listed below under Component Table - Dominant Component) or a weighted average model (listed below under Component Table - Weighted Average) using custom Python scripts. The the Mapunit table - the MUAGATTAT table and the processed Component table data were joined to the Mapunit Feature Class. Field aliases were added and indexes calculated. A field named Map Symbol was created and populated with random integers from 1-10 for symbolizing the soil units in the map package.For documentation of the SSURGO dataset see:http://soildatamart.nrcs.usda.gov/SSURGOMetadata.aspxFor documentation of the Watershed Boundary Dataset see: http://www.nrcs.usda.gov/wps/portal/nrcs/main/national/water/watersheds/datasetThe map packages contain the following attributes in the Map Units layer:Mapunit Feature Class:Survey AreaSpatial VersionMapunit SymbolMapunit KeyNational Mapunit SymbolMapunit Table:Mapunit NameMapunit KindFarmland ClassHighly Erodible Lands Classification - Wind and WaterHighly Erodible Lands Classification - WaterHighly Erodible Lands Classification - WindInterpretive FocusIntensity of MappingLegend KeyMapunit SequenceIowa Corn Suitability RatingLegend Table:Project ScaleTabular VersionMUAGGATT Table:Slope Gradient - Dominant ComponentSlope Gradient - Weighted AverageBedrock Depth - MinimumWater Table Depth - Annual MinimumWater Table Depth - April to June MinimumFlooding Frequency - Dominant ConditionFlooding Frequency - MaximumPonding Frequency - PresenceAvailable Water Storage 0-25 cm - Weighted AverageAvailable Water Storage 0-50 cm - Weighted AverageAvailable Water Storage 0-100 cm - Weighted AverageAvailable Water Storage 0-150 cm - Weighted AverageDrainage Class - Dominant ConditionDrainage Class - WettestHydrologic Group - Dominant ConditionIrrigated Capability Class - Dominant ConditionIrrigated Capability Class - Proportion of Mapunit with Dominant ConditionNon-Irrigated Capability Class - Dominant ConditionNon-Irrigated Capability Class - Proportion of Mapunit with Dominant ConditionRating for Buildings without Basements - Dominant ConditionRating for Buildings with Basements - Dominant ConditionRating for Buildings with Basements - Least LimitingRating for Buildings with Basements - Most LimitingRating for Septic Tank Absorption Fields - Dominant ConditionRating for Septic Tank Absorption Fields - Least LimitingRating for Septic Tank Absorption Fields - Most LimitingRating for Sewage Lagoons - Dominant ConditionRating for Sewage Lagoons - Dominant ComponentRating for Roads and Streets - Dominant ConditionRating for Sand Source - Dominant ConditionRating for Sand Source - Most ProbableRating for Paths and Trails - Dominant ConditionRating for Paths and Trails - Weighted AverageErosion Hazard of Forest Roads and Trails - Dominant ComponentHydric Classification - PresenceRating for Manure and Food Processing Waste - Weighted AverageComponent Table - Weighted Average:Mean Annual Air Temperature - High Value Mean Annual Air Temperature - Low Value Mean Annual Air Temperature - Representative Value Albedo - High Value Albedo - Low Value Albedo - Representative Value Slope - High Value Slope - Low Value Slope - Representative Value Slope Length - High Value Slope Length - Low Value Slope Length - Representative Value Elevation - High Value Elevation - Low Value Elevation - Representative Value Mean Annual Precipitation - High Value Mean Annual Precipitation - Low Value Mean Annual Precipitation - Representative Value Days between Last and First Frost - High Value Days between Last and First Frost - Low Value Days between Last and First Frost - Representative Value Crop Production Index Range Forage Annual Potenti
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MD iMAP: Maryland Very High Risk Census Tracts - Very High Risk Census Tracts
opendata.maryland.gov | Last Updated 2020-01-25T00:24:12.000ZThis is a MD iMAP hosted service layer. Find more information at http://imap.maryland.gov. Each of the State of Maryland's 1 - 406 2010 census tracts was analyzed to determine whether it represented a typical census tract as defined by the U. S. Bureau of the Census. Nationally these are census tracts that optimally are 4 - 000 inhabitants but generally range from 1 - 200 to 8 - 000 persons. In Maryland the average census tract contains 4 - 106 persons. Nationally the housing unit threshold for each census tract generally ranges from 480 to 3 - 200 housing units - with an optimum size of 1 - 600 housing units. In Maryland the average census tract contains 1 - 692 housing units. The Emergency Management Planning Database and the Emergency Planning Vulnerable Population Index are intended to assist State agency emergency officials plan tactics - develop strategies - allocate resources and prioritize responses for emergencies and to identify potentially vulnerable population areas for special attention. Statewide - there are 222 census tracts containing persons at 'Very High' socio - economic risk or vulnerability in the event of an emergency. 'Very High'� risk census tracts account for 16 - percent of the State's 1 - 390 specified census tracts. These census tracts are located throughout the State in 20 of 24 jurisdictions. There are 773 - 808 persons living in these areas making up 13.4 percent of the State's 2010 Census population of 5 - 773 - 552 persons. Feature Service Layer Link: http://geodata.md.gov/imap/rest/services/PublicSafety/MD_VeryHighRiskCensusTracts/FeatureServer/0 ADDITIONAL LICENSE TERMS: The Spatial Data and the information therein (collectively "the Data") is provided "as is" without warranty of any kind either expressed implied or statutory. The user assumes the entire risk as to quality and performance of the Data. No guarantee of accuracy is granted nor is any responsibility for reliance thereon assumed. In no event shall the State of Maryland be liable for direct indirect incidental consequential or special damages of any kind. The State of Maryland does not accept liability for any damages or misrepresentation caused by inaccuracies in the Data or as a result to changes to the Data nor is there responsibility assumed to maintain the Data in any manner or form. The Data can be freely distributed as long as the metadata entry is not modified or deleted. Any data derived from the Data must acknowledge the State of Maryland in the metadata.
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Railroad_Crossings_MD
opendata.maryland.gov | Last Updated 2024-04-24T21:15:54.000ZSummary Rail Crossings is a spatial file maintained by the Federal Railroad Administration (FRA) for use by States and railroads. Description FRA Grade Crossings is a spatial file that originates from the National Highway-Rail Crossing, Inventory Program. The program is to provide information to Federal, State, and local governments, as well as the railroad industry for the improvements of safety at highway-rail crossing. Credits Federal Railroad Administration (FRA) Use limitations There are no access and use limitations for this item. Extent West -79.491008 East -75.178954 North 39.733500 South 38.051719 Scale Range Maximum (zoomed in) 1:5,000 Minimum (zoomed out) 1:150,000,000 ArcGIS Metadata ▼►Topics and Keywords ▼►Themes or categories of the resource transportation * Content type Downloadable Data Export to FGDC CSDGM XML format as Resource Description No Temporal keywords 2013 Theme keywords Rail Theme keywords Grade Crossing Theme keywords Rail Crossings Citation ▼►Title rr_crossings Creation date 2013-03-15 00:00:00 Presentation formats * digital map Citation Contacts ▼►Responsible party Individual's name Raquel Hunt Organization's name Federal Railroad Administration (FRA) Contact's position GIS Program Manager Contact's role custodian Responsible party Organization's name Research and Innovative Technology Administration/Bureau of Transportation Statistics Individual's name National Transportation Atlas Database (NTAD) 2013 Contact's position Geospatial Information Systems Contact's role distributor Contact information ▼►Phone Voice 202-366-DATA Address Type Delivery point 1200 New Jersey Ave. SE City Washington Administrative area DC Postal code 20590 e-mail address answers@BTS.gov Resource Details ▼►Dataset languages * English (UNITED STATES) Dataset character set utf8 - 8 bit UCS Transfer Format Spatial representation type * vector * Processing environment Microsoft Windows 7 Version 6.1 (Build 7600) ; Esri ArcGIS 10.2.0.3348 Credits Federal Railroad Administration (FRA) ArcGIS item properties * Name USDOT_RRCROSSINGS_MD * Size 0.047 Location withheld * Access protocol Local Area Network Extents ▼►Extent Geographic extent Bounding rectangle Extent type Extent used for searching * West longitude -79.491008 * East longitude -75.178954 * North latitude 39.733500 * South latitude 38.051719 * Extent contains the resource Yes Extent in the item's coordinate system * West longitude 611522.170675 * East longitude 1824600.445629 * South latitude 149575.449134 * North latitude 752756.624659 * Extent contains the resource Yes Resource Points of Contact ▼►Point of contact Individual's name Raquel Hunt Organization's name Federal Railroad Administration (FRA) Contact's position GIS Program Manager Contact's role custodian Resource Maintenance ▼►Resource maintenance Update frequency annually Resource Constraints ▼►Constraints Limitations of use There are no access and use limitations for this item. Spatial Reference ▼►ArcGIS coordinate system * Type Projected * Geographic coordinate reference GCS_North_American_1983_HARN * Projection NAD_1983_HARN_StatePlane_Maryland_FIPS_1900_Feet * Coordinate reference details Projected coordinate system Well-known identifier 2893 X origin -120561100 Y origin -95444400 XY scale 36953082.294548117 Z origin -100000 Z scale 10000 M origin -100000 M scale 10000 XY tolerance 0.0032808333333333331 Z tolerance 0.001 M tolerance 0.001 High precision true Latest well-known identifier 2893 Well-known text PROJCS["NAD_1983_HARN_StatePlane_Maryland_FIPS_1900_Feet",GEOGCS["GCS_North_American_1983_HARN",DATUM["D_North_American_1983_HARN",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree"
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SHIP Life Expectancy 2010-2021
opendata.maryland.gov | Last Updated 2024-02-22T19:46:54.000ZLife Expectancy - This indicator shows life expectancy from birth, in years. Life expectancy is a summary measure used to describe overall health. Life expectancy at birth is the average number of years a newborn is expected to live given current conditions. The life expectancy in the US is the highest in recorded history thanks to public health interventions such as improvements in sanitation and food safety, development and use of vaccines, and health promotion efforts. <a href ="https://health.maryland.gov/pophealth/Documents/SHIP/SHIP%20Lite%20Data%20Details/Life%20Expectancy.pdf" > Link to Data Details </a>
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MD iMAP: Maryland Focal Areas - Targeted Ecological Areas
opendata.maryland.gov | Last Updated 2020-01-25T00:36:46.000ZThis is a MD iMAP hosted service. Find more information at http://imap.maryland.gov. Targeted Ecological Areas (TEAs) are lands and watersheds of high ecological value that have been identified as conservation priorities by the Maryland Department of Natural Resources (DNR) for natural resource protection. These areas represent the most ecologically valuable areas in the State: they are the best of the best"". TEAs are preferred for conservation funding through Stateside Program Open Space. This version updates the 2008 TEA layer. The first step in updating TEAs was to create an ecological baseline composed of several ecological databases which included updates of original databases and additional databases developed since 2008.The first component is the updated Green Infrastructure Assessment (circa 2010) which identifies large - contiguous blocks (hubs) of significant forests and wetlands and their connecting corridors. The Green Infrastructure's hub and corridor network of habitat allows plant and animal migration - reduces forest fragmentation if protected - and provides important ecosystem services - such as biodiversity - cleaning air and water - storing nutrients - and protecting areas against storm and flood damage.The rare species and wildlife habitat component identifies areas that support Rare - Threatened - and Endangered Species - rare plant and animal communities - species of Greatest Conservation Need - and wildlife concentrations.The aquatic life hotspots component identifies watersheds supporting freshwater stream ecosystems where conservation is needed to protect and restore areas of high aquatic biodiversity - Tier II regulated streams - and brook trout streams.The water quality protection component identifies sensitive lands such as forests - wetlands - and steep slopes where preservation is important for water quality.The coastal ecosystems component identifies Blue Infrastructure shoreline and watershed protection priorities. These are areas important for sustaining coastal and tidal ecosystems and also identifies land areas important for sustaining spawning and nursery areas for important commercial and recreational fisheries.The climate change adaptation component identifies areas important for sustaining wetlands ecosystems that are changing and moving landward in response to sea level rise.From the ecological baseline - areas that ranked as most important for each of the components were merged to create the Targeted Ecological Areas. Lands that were developed - as identified by the Maryland Department of Planning (2010) were removed from the TEA layer since developed lands are not preferred for Stateside Program Open Space funding. Additionally - lands that are in the 0 foot to 2 foot inundation zone based on the 2011 SLAMM (Maryland Sea-Level Affecting Marshes Model) study performed for all 16 coastal counties and Baltimore City since these areas are not preferred for Stateside Program Open Space funding.Feature Service Link:http://geodata.md.gov/imap/rest/services/Environment/MD_FocalAreas/FeatureServer/1 ADDITIONAL LICENSE TERMS: The Spatial Data and the information therein (collectively the ""Data"") is provided "as is" without warranty of any kind either expressed implied or statutory. The user assumes the entire risk as to quality and performance of the Data. No guarantee of accuracy is granted nor is any responsibility for reliance thereon assumed. In no event shall the State of Maryland be liable for direct indirect incidental consequential or special damages of any kind. The State of Maryland does not accept liability for any damages or misrepresentation caused by inaccuracies in the Data or as a result to changes to the Data nor is there responsibility assumed to maintain the Data in any manner or form. The Data can be freely distributed as long as the metadata entry is not modified or deleted. Any data derived from the Data must acknowledge the State of Maryland in the m
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MD iMAP: Maryland Land Use Land Cover - Land Use Land Cover 2010
opendata.maryland.gov | Last Updated 2020-01-25T00:34:30.000ZThis is a MD iMAP hosted service layer. Find more information at http://imap.maryland.gov. The purpose of the 2010 land use/land cover data set is to provide a generalized view of how developed land has changed throughout the state - primarily capturing the conversion of resource land to development and characterizing the type of development (e.g. very low density - low density - medium density or high density residential development - commercial - industrial - institutional). Urban Land Uses: 11 Low-density residential - Detached single-family/duplex dwelling units - yards and associated areas. Areas of more than 90 percent single-family/duplex dwelling units - with lot sizes of less than five acres but at least one-half acre (.2 dwelling units/acre to 2 dwelling units/acre). 12 Medium-density residential - Detached single-family/duplex - attached single-unit row housing - yards - and associated areas. Areas of more than 90 percent single-family/duplex units and attached single-unit row housing - with lot sizes of less than one-half acre but at least one-eighth acre (2 dwelling units/acre to 8 dwelling units/acre). 13 High-density residential - Attached single-unit row housing - garden apartments - high-rise apartments/condominiums - mobile home and trailer parks; areas of more than 90 percent high-density residential units - with more than 8 dwelling units per acre. 14 Commercial - Retail and wholesale services. Areas used primarily for the sale of products and services - including associated yards and parking areas. 15 Industrial - Manufacturing and industrial parks - including associated warehouses - storage yards - research laboratories - and parking areas. 16 Institutional - Elementary and secondary schools - middle schools - junior and senior high schools - public and private colleges and universities - military installations (built-up areas only - including buildings and storage - training - and similar areas) - churches - medical and health facilities - correctional facilities - and government offices and facilities that are clearly separable from the surrounding land cover. 17 Extractive - Surface mining operations - including sand and gravel pits - quarries - coal surface mines - and deep coal mines. Status of activity (active vs. abandoned) is not distinguished. 18 Open urban land - Urban areas whose use does not require structures - or urban areas where non-conforming uses characterized by open land have become isolated. Included are golf courses - parks - recreation areas (except areas associated with schools or other institutions) - cemeteries - and entrapped agricultural and undeveloped land within urban areas. 191 Large lot subdivision (agriculture) - Residential subdivisions with lot sizes of less than 20 acres but at least 5 acres - with a dominant land cover of open fields or pasture. 192 Large lot subdivision (forest) - Residential subdivisions with lot sizes of less than 20 acres but at least 5 acres - with a dominant land cover of deciduous - evergreen or mixed forest. Agriculture: 21 Cropland - Field crops and forage crops. 22 Pasture - Land used for pasture - both permanent and rotated; grass. 23 Orchards/vineyards/horticulture - Areas of intensively managed commercial bush and tree crops - including areas used for fruit production - vineyards - sod and seed farms - nurseries - and green houses. 24 Feeding operations - Cattle feed lots - holding lots for animals - hog feeding lots - poultry houses - and commercial fishing areas (including oyster beds). 241 Feeding operations - Cattle feed lots - holding lots for animals - hog feeding lots - poultry houses. 242 Agricultural building breeding and training facilities - storage facilities - built-up areas associated with a farmstead - small farm ponds - commercial fishing areas. 25 Row and garden crops - Intensively managed truck and vegetable farms and associated areas. Forest: 41 Deciduous fore
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MD COVID-19 - MASTER Case Tracker
opendata.maryland.gov | Last Updated 2024-06-11T15:41:24.000Z<b>Note:</b> Starting April 27, 2023 updates change from daily to weekly. <b>Summary</b> The cases, tests, positivity rates, hospitalizations, and confirmed and probable deaths for COVID-19 in Maryland. <b>Description</b> The MD COVID-19 - MASTER Case Tracker is a collection of Total Cases, Total Tests, Postivity Rates, Persons Tested Negative, Total Daily Hospital Beds, Total Ever Hospitalized, Total Persons Documented to Have Completed Home Isolation, Cases by County, Cases by Age Distribution, Cases by Gender Distribution, Cases by Race and Ethnicity Distribution, Confirmed Deaths Statewide, Confirmed Deaths by Date of Death, Confirmed Deaths by County, Confirmed Deaths by Age Distribution, Confirmed Deaths by Gender Distribution, Confirmed Deaths by Race And Ethnicity Distribution, Probable Deaths Statewide, Probable Deaths by Date of Death, Probable Deaths by County, Probable Deaths by Age Distribution, Probable Deaths by Gender Distribution, and Probable Deaths by Race And Ethnicity Distribution. <b>Terms of Use</b> The Spatial Data, and the information therein, (collectively the "Data") is provided "as is" without warranty of any kind, either expressed, implied, or statutory. The user assumes the entire risk as to quality and performance of the Data. No guarantee of accuracy is granted, nor is any responsibility for reliance thereon assumed. In no event shall the State of Maryland be liable for direct, indirect, incidental, consequential or special damages of any kind. The State of Maryland does not accept liability for any damages or misrepresentation caused by inaccuracies in the Data or as a result to changes to the Data, nor is there responsibility assumed to maintain the Data in any manner or form. The Data can be freely distributed as long as the metadata entry is not modified or deleted. Any data derived from the Data must acknowledge the State of Maryland in the metadata.
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MD COVID-19 - Probable Deaths by Gender Distribution
opendata.maryland.gov | Last Updated 2024-06-11T15:48:37.000Z<b>Note:</b> Starting April 27, 2023 updates change from daily to weekly. <b>Summary</b> The cumulative number of probable COVID-19 deaths among Maryland residents by gender: Female; Male; Unknown. <b>Description</b> The MD COVID-19 - Probable Deaths by Gender Distribution data layer is a collection of the statewide confirmed and probable COVID-19 related deaths that have been reported each day by the Vital Statistics Administration by gender. A death is classified as probable if the person's death certificate notes COVID-19 to be a probable, suspect or presumed cause or condition. Probable deaths are not yet been confirmed by a laboratory test. Some data on deaths may be unavailable due to the time lag between the death, typically reported by a hospital or other facility, and the submission of the complete death certificate. Confirmed deaths are available from the MD COVID-19 - Confirmed Deaths by Gender Distribution data layer. <b>Terms of Use</b> The Spatial Data, and the information therein, (collectively the "Data") is provided "as is" without warranty of any kind, either expressed, implied, or statutory. The user assumes the entire risk as to quality and performance of the Data. No guarantee of accuracy is granted, nor is any responsibility for reliance thereon assumed. In no event shall the State of Maryland be liable for direct, indirect, incidental, consequential or special damages of any kind. The State of Maryland does not accept liability for any damages or misrepresentation caused by inaccuracies in the Data or as a result to changes to the Data, nor is there responsibility assumed to maintain the Data in any manner or form. The Data can be freely distributed as long as the metadata entry is not modified or deleted. Any data derived from the Data must acknowledge the State of Maryland in the metadata.
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MD iMAP: Maryland Census Data - Census Tracts
opendata.maryland.gov | Last Updated 2020-01-25T00:18:34.000ZThis is a MD iMAP hosted service. Find more information at http://imap.maryland.gov. The units of geography used for the 2010 Census maps displayed here are the Census tracts. Census tracts generally have a population size between 1 - 200 and 8 - 000 people - with an optimum size of 4 - 000 people. When first delineated - census tracts were designed to be homogeneous with respect to population characteristics - economic status - and living conditions. Census tract boundaries generally follow visible and identifiable features. State and county boundaries always are census tract boundaries in the standard census geographic hierarchy. In a few rare instances - a census tract may consist of noncontiguous areas. The data collected on the short form survey are general demographic characteristics such as age - race - ethnicity - household relationship - housing vacancy and tenure (owner/renter).Feature Service Link:http://geodata.md.gov/imap/rest/services/Demographics/MD_CensusData/FeatureServer/0 ADDITIONAL LICENSE TERMS: The Spatial Data and the information therein (collectively "the Data") is provided "as is" without warranty of any kind either expressed implied or statutory. The user assumes the entire risk as to quality and performance of the Data. No guarantee of accuracy is granted nor is any responsibility for reliance thereon assumed. In no event shall the State of Maryland be liable for direct indirect incidental consequential or special damages of any kind. The State of Maryland does not accept liability for any damages or misrepresentation caused by inaccuracies in the Data or as a result to changes to the Data nor is there responsibility assumed to maintain the Data in any manner or form. The Data can be freely distributed as long as the metadata entry is not modified or deleted. Any data derived from the Data must acknowledge the State of Maryland in the metadata.