Neighborhoods within Baltimore City limits. This dataset was sourced from Baltimore Neighborhood Indicators Alliance (BNIA). No additional
metadata was provided with the dataset.
This is part of a collection of 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 2010 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.
Attribution 3.0 (CC BY 3.0)https://creativecommons.org/licenses/by/3.0/
License information was derived automatically
Qualified Census Tract geometries within Baltimore City Limits. Based on data from HUD published September 2024.Change Log2022-2-15:- Added FY2022 data- Metadata added- Columns renamed to a standard format- Agency names reformatted with Workday conventions2024-8-27:update the dataset and metadata to reflect the current data and descriptionData Dictionaryfield_namedescriptiondata_typerange_of_possible_valuesexample_valuessearchableCensus Tract 2010 The ID of the US census tract from 2010 Census results. Only Qualified Census tracts are includedTextIDs of QCT's in Baltimore city range from 24510030100 to 24510280500, but not by regular intervals since only tracts designated QCT are listed. The values are not integers, they are numerical IDs.24510070200NogeometryMulti-polygon shapes for each census tractThese are shape polygons, thus don't have a single value or expected rangeNo To leave feedback or ask a question about this dataset, please fill out the following form: Baltimore City Qualified Census Tracts feedback form.
U.S. Government Workshttps://www.usa.gov/government-works
License information was derived automatically
This is a MD iMAP hosted service. Find more information on http://imap.maryland.gov. ' above published service description.A representation of the boundaries of Baltimore City neighborhoods. The data can be obtained from the Baltimore City Open Data Portal at https://data.baltimorecity.gov/Neighborhoods/Neighborhoods-Shape/ysi8-7icr. Map Service Link: http://geodata.md.gov/appdata/rest/services/ TrainingProgram/MD_BaltimoreCityNeighborhoods/FeatureServer 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.
Geospatial data about Baltimore Metro - City of Baltimore Boundary. Export to CAD, GIS, PDF, CSV and access via API.
Baltimore City boundary limits. This is the "official" city boundary used by many Baltimore agencies. It DOES NOT agree with the universal MSA boundaries dervied from GDT census data. 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.
These boundaries were developed by the Department of Planning based on 2020 Census data. Be aware that other organizations may use different neighborhood boundaries in their analyses.Demographics included are: race, ethnicity, gender, vacancy rate, homeowner status, family structure, and age.DATA DICTIONARY:
Field Name
Description
Name
Name of neighborhood statistical area
Population
Total population (P3)
White
White alone population (P3)
Blk_AfAm
Black or African American alone population (P3)
AmInd_AkNa
American Indian/Native Alaskan alone population (P3)
Asian
Asian alone population (P3)
NatHaw_Pac
Native Hawaiian and other Pacific Islander alone population (P3)
Other_Race
Some other race alone population (P3)
TwoOrMore
Two or more races population (P3)
Hisp_Lat
Hispanic or Latino population (P4)
Male
Male population (P12)
Female
Female population (P12)
Total_Units
Total housing units (H1)
Occ_Occupied
Occupied housing units (H3)
Occ_Vacant
Vacant housing units (H3)
Tenure_Owner
Owner-occupied units (H4)
Tenure_Renter
Renter-occupied units (H4)
Vacant_ForRent
Vacant units for rent (H5)
Vacant_ForSale
Vacant units for sale (H5)
Vacant_Other_All
All other vacant units (H5)
HH_Total
Total households (P16)
HH_Family
Total family households (P16)
HH_Married
Married couple family households (P16)
HH_OtherFamily
Other family households (P16)
HH_Male_NoSpouse
Male householder, no spouse present family household (P16)
HH_Female_NoSpouse
Female householder, no spouse present family household (P16)
HH_NonFamily
Total nonfamily households (P16)
HH_NonFamilyAlone
Householder living alone nonfamily households (P16)
HH_NonFamilyNotAlone
Householder not living alone nonfamily households (P16)
HH18_With18
Households with one or more people under 18 (P21)
HH18_FamilyWith18
Family households with one or more people under 18 (P21)
HH18_NonFamilyWith18
Nonfamily households with one or more people under 18 (P21)
HH18_No18
Households with no people under 18 (P21)
HH18_FamilyNo18
Family households with no people under 18 (P21)
HH18_NonFamilyNo18
Nonfamily households with no people under 18 (P21)
Age_U5
Population under 5 years (P12)
Age_5_9
Population age 5-9 (P12)
Age_10_14
Population age 10-14 (P12)
Age_15_17
Population age 15-17 (P12)
Age_18_21
Population age 18-21 (P12)
Age_22_24
Population age 22-24 (P12)
Age_25_29
Population age 25-29 (P12)
Age_30_34
Population age 30-34 (P12)
Age_35_39
Population age 35-39 (P12)
Age_40_44
Population age 40-44 (P12)
Age_45_49
Population age 45-49 (P12)
Age_50_54
Population age 50-54 (P12)
Age_55_59
Population age 55-59 (P12)
Age_60_64
Population age 60-64 (P12)
Age_65_69
Population age 65-69 (P12)
Age_70_74
Population age 70-74 (P12)
Age_75_79
Population age 75-79 (P12)
Age_80_84
Population age 80-84 (P12)
Age_85up
Population age 85 and up (P12)
Med_Age
Median age (P13)
Med_Age_Male
Median male age (P13)
Med_Age_Female
Median female age (P13)
To leave feedback or ask a question about this dataset, please fill out the following form: Neighborhood Statistical Area (NSA) Boundaries feedback form.
Line feature showing the political boundary of Baltimore City. Last Updated 2008
Detailed street boundaries for Baltimore City. No metadata was provided with this dataset; the UVM Spatial Analysis Lab has attempted to evaluate this dataset and generate metadata. This dataset depicts the linear boundaries for street and paved areas in Baltimore City and has an extremely high degree of positional accuracy. For the best available transportation data use the Roads_GDT_MSA 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. 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.
Line feature showing the political boundary of Baltimore City. Last Updated 2008
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.
Detailed street boundaries for Baltimore City. No metadata was provided with this dataset; the UVM Spatial Analysis Lab has attempted to evaluate this dataset and generate metadata. This dataset depicts the linear boundaries for street and paved areas in Baltimore City and has an extremely high degree of positional accuracy. For the best available transportation data use the Roads_GDT_MSA 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.
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:Municipality Name: Name of Municipality located in Maryland.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). Last updated: 9/5/2024This is an MD iMAP hosted service. Find more information at https://imap.maryland.gov.Feature Service Link:https://mdgeodata.md.gov/imap/rest/services/Boundaries/MD_PoliticalBoundaries/FeatureServer/2
https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain
Graph and download economic data for Per Capita Personal Income in Baltimore city, MD (PCPI24510) from 1969 to 2023 about Baltimore City, MD; Baltimore; MD; personal income; per capita; personal; income; and USA.
The USGS Topo base map service from The National Map is a combination of contours, shaded relief, woodland and urban tint, along with vector layers, such as geographic names, governmental unit boundaries, hydrography, structures, and transportation, to provide a composite topographic base map. Data sources are the National Atlas for small scales, and The National Map for medium to large scales.
Parcels_2003_BACI File Geodatabase Feature Class Thumbnail Not Available Tags BES Summary There is no summary for this item. Description Parcel Data for Baltimore City obatined from BNIA will all extraneous fields removed. Editing in progress The following edits were performed: 1) Resolved edge matching issues with Baltimore County parcels that border it and fall within the Gwynns Falls Watershed. 2) BLOCKLOT errors were noted and if necessary corrected. The BLOCKLOT ID is used to link the parcel data to the MD Property View A&T database. It should be pointed out that in some instances a single BLOCKLOT ID in the Property View A&T database may correspond to more than one parcel. There are only 14 instances were a single BLOCKLOT ID corresponds to 4 or more parcels, these are typically railroads, utility, or government properties. In other cases a single BLOCKLOT ID may correspond to two separate parcels that are essentially one property bisected by a road. There are other instances where there appears no logical explanation for a single BLOCKLOT ID corresponding to multiple parcels. Credits UVM Spatial Analysis Lab Use limitations There are no access and use limitations for this item. Extent West -76.713328 East -76.525885 North 39.374474 South 39.195051 Scale Range There is no scale range for this item.
This dataset represents the ward precinct voting boundaries for the city of Baltimore. This dataset was updated in 2022 to reflect the new Legislative and Congressional districts To leave feedback or ask a question about this dataset, please fill out the following form: Ward-Precincts feedback form.
Ward boundaries for Baltimore, Maryland; circa 1876. Refer to the Sarah Hinman's enclosed thesis for more information. 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. 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.
This EnviroAtlas dataset shows the Baltimore, MD EnviroAtlas community boundary. It represents the outside edge of all the block groups included in the EnviroAtlas Community. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).
Attribution 3.0 (CC BY 3.0)https://creativecommons.org/licenses/by/3.0/
License information was derived automatically
Line feature showing the political boundary of Baltimore City. Last Updated 2008
Neighborhoods within Baltimore City limits. This dataset was sourced from Baltimore Neighborhood Indicators Alliance (BNIA). No additional
metadata was provided with the dataset.
This is part of a collection of 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.