Inventory of Historic Properties for Carroll County. The Maryland Inventory of Historic Properties vector layers are depictions of the approximate locations of historic structures, monuments, districts, and other properties that are listed on the Maryland Inventory of Historic Properties. No attribute information is available for this dataset.
This is part of a collection of 221 Baltimore Ecosystem Study metadata records that point to a geodatabase.
The geodatabase is available online and is considerably large. Upon request, and under certain arrangements, it can be shipped on media, such as a usb hard drive.
The geodatabase is roughly 51.4 Gb in size, consisting of 4,914 files in 160 folders.
Although this metadata record and the others like it are not rich with attributes, it is nonetheless made available because the data that it represents could be indeed useful.
The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. Face refers to the areal (polygon) topological primitives that make up MTDB. A face is bounded by one or more edges; its boundary includes only the edges that separate it from other faces, not any interior edges contained within the area of the face. The Topological Faces Shapefile contains the attributes of each topological primitive face. Each face has a unique topological face identifier (TFID) value. Each face in the shapefile includes the key geographic area codes for all geographic areas for which the Census Bureau tabulates data for both the 2020 Census and the annual estimates and surveys. The geometries of each of these geographic areas can then be built by dissolving the face geometries on the appropriate key geographic area codes in the Topological Faces Shapefile.
AT_2004_CARR
File Geodatabase Feature Class
Thumbnail Not Available
Tags
Socio-economic resources, Information, Social Institutions, Hierarchy, Territory, BES, Parcel, Property, Property View, A&T, Database, Assessors, Taxation
Summary
Serves as a basis for performing various analyses based on parcel data.
Description
Assessments & Taxation (A&T) Database from MD Property View 2004 for Carroll County. The A&T Database contains parcel data from the State Department of Assessments and Taxation; it incorporates parcel ownership and address information, parcel valuation information and basic information about the land and structure(s) associated with a given parcel. These data form the basis for the 2004 Database, which also includes selected Computer Assisted Mass Appraisal (CAMA) characteristics, text descriptions to make parcel code field data more readily accessible and logical True/False fields which identify parcels with certain characteristics. Documentation for A&T, including a thorough definition for all attributes is enclosed. Complete Property View documentation can be found at http://www.mdp.state.md.us/data/index.htm under the "Technical Background" tab.
It should be noted that the A&T Database consists of points and not parcel boundaries. For those areas where parcel polygon data exists the A&T Database can be joined using the ACCTID or a concatenation of the BLOCK and LOT fields, whichever is appropriate. (Spaces may have to be excluded when concatenating the BLOCK and LOT fields).
A cursory review of the 2004 version of the A&T Database indicates that it has more accurate data when compared with the 2003 version, particularly with respect to dwelling types. However, for a given record it is not uncommon for numerous fields to be missing attributes. Based on previous version of the A&T Database it is also not unlikely that some of the information is inaccurate. This layer was edited to remove points that did not have a valid location because they failed to geocode. There were 848 such points. A listing of the deleted points is in the table with the suffix "DeletedRecords."
Credits
Maryland Department of Planning
Use limitations
BES use only.
Extent
West -77.306843 East -76.779275
North 39.727017 South 39.342858
Scale Range
There is no scale range for this item.
Carroll County Developments In Process
MIT Licensehttps://opensource.org/licenses/MIT
License information was derived automatically
Carroll County zoning layer
The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. Edge refers to the linear topological primitives that make up MTDB. The All Lines Shapefile contains linear features such as roads, railroads, and hydrography. Additional attribute data associated with the linear features found in the All Lines Shapefile are available in relationship (.dbf) files that users must download separately. The All Lines Shapefile contains the geometry and attributes of each topological primitive edge. Each edge has a unique TIGER/Line identifier (TLID) value.
MD/PA Sandy Supplemental Lidar Data Acquisition and Processing Production Task USGS Contract No. G10PC00057 Task Order No. G14PD00397 Woolpert Order No. 74333 CONTRACTOR: Woolpert, Inc. This task is for a high resolution data set of lidar covering approximately 1,845 square miles. The lidar data was acquired and processed under the requirements identified in this task order. Lidar data is a remotely sensed high resolution elevation data collected by an airborne platform. The lidar sensor uses a combination of laser range finding, GPS positioning, and inertial measurement technologies. The lidar systems collect data point clouds that are used to produce highly detailed Digital Elevation Models (DEMs) of the earth's terrain, man-made structures, and vegetation. The task required the LiDAR data to be collected at a nominal pulse spacing (NPS) of 0.7 meters. The final products include classified LAS, one (1) meter pixel raster DEMs of the bare-earth surface in ERDAS IMG Format, and 8-bit intensity images. Each LAS file contains lidar point information, which has been calibrated, controlled, and classified. Additional deliverables include hydrologic breakline data, control data, tile index, lidar processing and survey reports in PDF format, FGDC metadata files for each data deliverable in .xml format, and LAS swath data. Ground conditions: Water at normal levels; no unusual inundation; no snow; leaf off. Coastal tiles 18SVH065720 and 8SVH095690 contain no lidar points as they exist completely in water. A DEM IMG was generated for these two tiles as the digitized hydro breakline assumed the data extent in the area. As such only 2568 LAS and Intensity files will be delivered along with 2570 DEM IMG's.This is a MD iMAP hosted service. Find more information at https://imap.maryland.gov.Image Service Link: https://lidar.geodata.md.gov/imap/rest/services/Carroll/MD_carroll_dem_ft/ImageServer
This resource is a member of a series. The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. The All Roads Shapefile includes all features within the MTDB Super Class "Road/Path Features" distinguished where the MAF/TIGER Feature Classification Code (MTFCC) for the feature in MTDB that begins with "S". This includes all primary, secondary, local neighborhood, and rural roads, city streets, vehicular trails (4wd), ramps, service drives, alleys, parking lot roads, private roads for service vehicles (logging, oil fields, ranches, etc.), bike paths or trails, bridle/horse paths, walkways/pedestrian trails, and stairways.
Carroll County Developments In Process
CAMA_2004_CARR
File Geodatabase Feature Class
Thumbnail Not Available
Tags
Socio-economic resources, Information, Social Institutions, Hierarchy, Territory, BES, Parcel, Property, Property View, CAMA, Database, Structure, Appraisal
Summary
Detailed structural information for parcels.
Description
The CAMA (Computer Assisted Mass Appraisal) Database is created on a yearly basis using data obtained from the State Department of Assessments and Taxation (SDAT). Each yearly download contains additional residential housing characteristics as available for parcels included in the CAMA Database and the CAMA supplementary databases for each jurisdiction.. Documentation for CAMA, including thorough definitions for all attributes is enclosed. Complete Property View documentation can be found at http://www.mdp.state.md.us/data/index.htm under the "Technical Background" tab.
It should be noted that the CAMA Database consists of points and not parcel boundaries. For those areas where parcel polygon data exists the CAMA Database can be joined using the ACCTID or a concatenation of the BLOCK and LOT fields, whichever is appropriate. (Spaces may have to be excluded when concatenating the BLOCK and LOT fields).
A cursory review of the 2004 version of the CAMA Database indicates that it has more accurate data when compared with the 2003 version, particularly with respect to dwelling types. However, for a given record it is not uncommon for numerous fields to be missing attributes. Based on previous version of the CAMA Database it is also not unlikely that some of the information is inaccurate. This layer was edited to remove points that did not have a valid location because they failed to geocode. There were 399 such points. A listing of the deleted points is in the table with the suffix "DeletedRecords."
Credits
Maryland Department of Planning
Use limitations
BES use only.
Extent
West -77.306843 East -76.779379
North 39.727017 South 39.346946
Scale Range
There is no scale range for this item.
The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. The All Roads Shapefile includes all features within the MTDB Super Class "Road/Path Features" distinguished where the MAF/TIGER Feature Classification Code (MTFCC) for the feature in MTDB that begins with "S". This includes all primary, secondary, local neighborhood, and rural roads, city streets, vehicular trails (4wd), ramps, service drives, alleys, parking lot roads, private roads for service vehicles (logging, oil fields, ranches, etc.), bike paths or trails, bridle/horse paths, walkways/pedestrian trails, stairways, and winter trails.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Interactive visualization of Carroll County facts and figures, including population, demographics, community involvement, economy, employment, education, housing, health, crime and transportation. Data sources include AARP, U.S. Census/ACS, ARC, BLS, Center for Neighborhood Technology and County Health Rankings.
MIT Licensehttps://opensource.org/licenses/MIT
License information was derived automatically
Ag Preservation easements for Carroll County Maryland
MIT Licensehttps://opensource.org/licenses/MIT
License information was derived automatically
Park Sites and Trails in Carroll County, Maryland
landmark_BACI File Geodatabase Feature Class Thumbnail Not Available Tags BES, Landmarks Summary Socioeconomic analysis. Description Baltimore City Landmarks. Credits BNIA Use limitations BES research only. Extent West -76.678418 East -76.535599 North 39.359323 South 39.245599 Scale Range There is no scale range for this item.
MIT Licensehttps://opensource.org/licenses/MIT
License information was derived automatically
Download .zipA potentiometric surface map is a contour map that represents the top of the ground water surface in an aquifer. The contour lines illustrate the potentiometric surface much like the contour lines of a topographic map represent a visual model of the ground surface. A potentiometric surface map is very similar to a water table map in that both show the horizontal direction and gradient of ground water flow.Contact Information:GIS Support, ODNR GIS ServicesOhio Department of Natural ResourcesDivision of Geological Survey2045 Morse Rd, Bldg I-2Columbus, OH, 43229Telephone: 614-265-6693Email: gis.support@dnr.ohio.gov
County boundaries for the BES Metropolitan Study Area (MSA) derived from year 2000 GDT census data. This is the universal MSA boundary for all BES research. The MSA consists of the following 5 counties: Baltimore City, Baltimore County, Anne Arrundel, Carroll, Harford, and Howard. This is part of a collection of Baltimore Ecosystem Study metadata records that point to a geodatabase. The geodatabase itself is available online at beslter.org or lternet.edu. It is considerably large. Upon request, it can be shipped to you on media, such as a flash drive. The geodatabase is roughly 51.4 Gb in size, consisting of 4,914 files in 160 folders. Although this metadata record and the others like it are not rich with attributes, it is nonetheless made available because the data that it represents could be indeed useful.
Polygon features that represent the political boundaries of Metropolitan Planning Organizations (MPO) that exist in Maryland and for which the Maryland Department of Transportation (MDOT) is a member. In several instances, these MPO boundaries extend beyond Maryland’s borders into neighboring states as well as the District of Columbia. MPO Boundaries’ data includes information on each boundary's name, geographic location, and the total size / extent of each area. MPO Boundaries data was intended to be used for planning purposes within governments at the National and State level. Maryland's MPO Boundaries data is a sub-set of the U.S. Department of Transportation (USDOT) Office of the Assistant Secretary for Research and Technology's Bureau of Transportation Statistics (BTS) National Transportation Atlas Database (NTAD). A metropolitan planning organization (MPO) is a federally-mandated and federally-funded transportation policy-making organization that is made up of representatives from local governments and governmental transportation authorities. Federal law requires the formation of an MPO for any urbanized area (UZA) with a population greater than 50,000. Federal funding for transportation projects and programs are channeled through this planning process. Congress created MPOs to ensure that existing and future expenditures of federal funds for transportation projects and programs are based on a continuing, cooperative, and comprehensive (“3‑C”) planning process. MPOs are charged with developing a 20-year long-range transportation plan (LRTP) and a short-term (usually 2-6 years) program called the transportation improvement program (TIP) for each of their respective regions. The seven MPOs of which Maryland jurisdictions and agencies are members are listed below. The Maryland member jurisdictions are listed under each MPO (note that some MPOs cover multi-State regions). The Maryland Department of Transportation is a member of each of the MPOs listed. Each of the listed member jurisdictions has a different level of involvement with its MPO.Maryland's MPOs are as follows: National Capital Region Transportation Planning Board (TPB)https://www.mwcog.org/tpb/- Charles County, Maryland- Frederick County, Maryland- Montgomery County, Maryland- Prince George's County, Maryland- City of Bowie, Maryland- City of College Park, Maryland- City of Frederick, Maryland- City of Gaithersburg, Maryland- City of Greenbelt, Maryland- City of Laurel, Maryland- City of Rockville, Maryland- City of Takoma Park, Maryland- Maryland Department of Transportation (MDOT)Baltimore Regional Transportation Board (BRTB)https://baltometro.org/- Anne Arundel County, Maryland- Baltimore County, Maryland- Carroll County, Maryland- Harford County, Maryland- Howard County, Maryland- Queen Anne's County, Maryland- City of Annapolis, Maryland- City of Baltimore, Maryland- Maryland Department of Transportation (MDOT)Cumberland Area Metropolitan Planning Organization (CAMPO)https://alleganygov.org/473/Metropolitan-Planning-Organization- Allegany County, Maryland- City of Cumberland, Maryland- City of Frostburg, Maryland- Maryland Department of Transportation (MDOT)Hagerstown / Eastern Panhandle Metropolitan Planning Organization (HEPMPO)https://www.hepmpo.net/- Washington County, Maryland- City of Hagerstown, Maryland- Maryland Department of Transportation (MDOT)Wilmington Area Planning Council (WILMAPCO)https://www.wilmapco.org/- Cecil County, Maryland- Maryland Department of Transportation (MDOT)Salisbury / Wicomico Metropolitan Planning Organization (S / WMPO)https://www.swmpo.org/- Wicomico County, Maryland- City of Fruitland, Maryland- City of Salisbury, Maryland- Town of Delmar, Maryland- Maryland Department of Transportation (MDOT)Calvert-St. Mary’s Metropolitan Planning Organization (C - SMMPO)https://www.calvert-stmarysmpo.com/- Calvert County, Maryland- St. Mary's County, Maryland- Maryland Department of Transportation (MDOT)Maryland's MPO Boundaries data is owned and maintained by the Transportation Secretary's Office (TSO) of the Maryland Department of Transportation (MDOT). Being a subset of the USDOT's NTAD, an annual update of Maryland's MPO Boundaries data is performed by TSO in close coordination with each MPO, the Maryland Department of Transportation State Highway Administration (MDOT SHA) and the Federal Highway Administration (FHWA). MPO Boundaries data is a strategic resource for the USDOT, FHWA, MDOT, as well as many other Federal, State, and local government agencies. Maryland's MPO Boundaries data is updated on an annual basis. For additional MPO information, contact MDOT's Office of Planning and Capital Programming:MDOTGIS@mdot.state.md.usFor additional data information, contact the MDOT SHA Geospatial Technologies Team:GIS@sha.state.md.usFor additional information related to the Maryland Department of Transportation (MDOT):https://www.mdot.maryland.gov/For additional information related to the Maryland Department of Transportation State Highway Administration (MDOT SHA):https://www.roads.maryland.gov/This is a MD iMAP hosted service. Find more information at https://imap.maryland.gov.Feature Service Link:https://geodata.md.gov/imap/rest/services/BusinessEconomy/MD_IncentiveZones/FeatureServer/13
Newcomer_Hotspots_BACI File Geodatabase Feature Class Thumbnail Not Available Tags BES, Newcomers, Hotspots Summary BES analysis. Description Baltimore City hotspots for newcomers to the area. Credits BNIA Use limitations BES research only. Extent West -76.681749 East -76.561269 North 39.356084 South 39.236417 Scale Range There is no scale range for this item.
State of Maryland municipality boundary dataset.Maryland Department of Planning (MDP) maps annexations from municipalities. This dataset is created and maintained by the Maryland Department of Planning. These boundaries are not intended to serve as a legal description. Fields:MUN_NAME (Municipality Name): Name of Municipality located in Maryland.RESOLUTION_NUMBER (Resolution Number): Local Municipality Annexation Resolution Number.ANNEXATION_DATE (Annexation Date) (DD/MM/YYYY): The Annexation Date field shows when there's been a change in the boundary. This date is known as the “Effective Date” from the municipality. The date 1/1/1997 is used as a default date of when annexation changes were first indicated in the GIS layer and not necessarily of when it was actually annexed. If there's a date of 1/1/1997, it can be assumed that the annexation occurred on this date or before. For example, for Baltimore City, the city boundary was determined hundreds of years ago. Other than that default date, the date will show when the property was annexed. ACRES (GIS Acres): GIS calculated acres.JURSCODE (Jurisdiction Code) – Four letter county code: ALLE (Allegany), ANNE (Anne Arundel), BACI (Baltimore City), BACO (Baltimore County), CALV (Calvert), CARO (Caroline), CARR (Carroll), CECI (Cecil), CHAR (Charles), DORC (Dorchester), FRED (Frederick), GARR (Garrett), HARF (Harford), HOWA (Howard), KENT (Kent), MONT (Montgomery), PRIN (Prince George’s) QUEE (Queen Anne’s), SOME (Somerset), STMA (St. Mary’s), TALB (Talbot), WASH (Washington), WICO (Wicomico), WORC (Worcester).This is a MD iMAP hosted service. Find more information on https://imap.maryland.govhttps://geodata.md.gov/imap/rest/services/Boundaries/MD_PoliticalBoundaries/FeatureServer/5
Inventory of Historic Properties for Carroll County. The Maryland Inventory of Historic Properties vector layers are depictions of the approximate locations of historic structures, monuments, districts, and other properties that are listed on the Maryland Inventory of Historic Properties. No attribute information is available for this dataset.
This is part of a collection of 221 Baltimore Ecosystem Study metadata records that point to a geodatabase.
The geodatabase is available online and is considerably large. Upon request, and under certain arrangements, it can be shipped on media, such as a usb hard drive.
The geodatabase is roughly 51.4 Gb in size, consisting of 4,914 files in 160 folders.
Although this metadata record and the others like it are not rich with attributes, it is nonetheless made available because the data that it represents could be indeed useful.