AT_2003_BACI_1 File Geodatabase Feature Class Thumbnail Not Available Tags There are no tags for this item. Summary There is no summary for this item. Description MD Property View 2003 A&T Database. For more information on the A&T Database refer to the enclosed documentation. This layer was edited to remove spatial outliers in the A&T Database. Spatial outliers are those points that were not geocoded and as a result fell outside of the Baltimore City Boundary; 416 spatial outliers were removed from this layer. The field BLOCKLOT2 can be used to join this layer with the Baltimore City parcel layer. Credits There are no credits for this item. Use limitations There are no access and use limitations for this item. Extent West -76.713418 East -76.526031 North 39.374429 South 39.197452

This layer is a high-resolution tree canopy change-detection layer for Baltimore City, MD. It contains three tree-canopy classes for the period 2007-2015: (1) No Change; (2) Gain; and (3) Loss. It was created by extracting tree canopy from existing high-resolution land-cover maps for 2007 and 2015 and then comparing the mapped trees directly. Tree canopy that existed during both time periods was assigned to the No Change category while trees removed by development, storms, or disease were assigned to the Loss class. Trees planted during the interval were assigned to the Gain category, as were the edges of existing trees that expanded noticeably. Direct comparison was possible because both the 2007 and 2015 maps were created using object-based image analysis (OBIA) and included similar source datasets (LiDAR-derived surface models, multispectral imagery, and thematic GIS inputs). OBIA systems work by grouping pixels into meaningful objects based on their spectral and spatial properties, while taking into account boundaries imposed by existing vector datasets. Within the OBIA environment a rule-based expert system was designed to effectively mimic the process of manual image analysis by incorporating the elements of image interpretation (color/tone, texture, pattern, location, size, and shape) into the classification process. A series of morphological procedures were employed to insure that the end product is both accurate and cartographically pleasing. No accuracy assessment was conducted, but the dataset will be subjected to manual review and correction. 2006 LiDAR and 2014 LiDAR data was also used to assist in tree canopy change.

AT_2004_BACI 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 Baltimore City. 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 379 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 -76.713418 East -76.526031 North 39.374429 South 39.197452 Scale Range There is no scale range for this item.

Please read all metadata before accessing the dataset. Note that records shown here are updated at different frequencies from data in products from MDP and SDAT. Please see the full documentation at https://data.maryland.gov/api/views/ed4q-f8tm/files/WtRzMltUzm25OasOCYtu7PgOGUfrplWsZTalSH4Iukg?download=true&filename=Real%20Property%20Records%20Documentation.pdf and review the dedicated metadata site (https://data.maryland.gov/dataset/Beta-Maryland-Statewide-Real-Property-Assessments-/ed4q-f8tm/about).

Detailed street center lines 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.

This dataset represents real property information within a parcel of land in the City of Baltimore. The data dictionary for this dataset can be accessed by visiting the following link.: Data Dictionary For Real Property Information | Open Baltimore (baltimorecity.gov). Data is updated on a weekly basis. To leave feedback or ask a question about this dataset, please fill out the following form: Real Property Information feedback form.

This data represents the top arrest charge of those processed at Baltimore's Central Booking & Intake Facility. This data does not contain those who have been processed through Juvenile Booking.

Graph and download economic data for Market Hotness: Listing Views per Property in Baltimore City, MD (LDPEPRYYCOUNTY24510) from Aug 2018 to May 2025 about Baltimore City, MD; Baltimore; MD; listing; and USA.

About this dataset

Context

The dataset tabulates the Baltimore city population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for Baltimore city. The dataset can be utilized to understand the population distribution of Baltimore city by age. For example, using this dataset, we can identify the largest age group in Baltimore city.

Key observations

The largest age group in Baltimore city, MD was for the group of age 30 to 34 years years with a population of 54,212 (9.39%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Baltimore city, MD was the 80 to 84 years years with a population of 8,797 (1.52%). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group in consideration
• Population: The population for the specific age group in the Baltimore city is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Baltimore city total population. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Baltimore city Population by Age. You can refer the same here

Market Hotness: Listing Views per Property in Baltimore City, MD was -2.89844 % Chg. in May of 2025, according to the United States Federal Reserve. Historically, Market Hotness: Listing Views per Property in Baltimore City, MD reached a record high of 63.17955 in January of 2020 and a record low of -21.21117 in October of 2020. Trading Economics provides the current actual value, an historical data chart and related indicators for Market Hotness: Listing Views per Property in Baltimore City, MD - last updated from the United States Federal Reserve on July of 2025.

Lightrail stations for a single light rail line that runs north/south through Baltimore City and into Baltimore County. No metadata was provided with this dataset; the UVM Spatial Analysis Lab has attempted to evaluate this dataset and generate metadata. When compared to high-resolution imagery and other transportation datasets positional inaccuracies were observed. As a result caution should be taken when using this dataset. Attributes consist of the station name and associated MTA bus information. For the best available railroads data use the Railroads_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.

CAMA_2004_BACI 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 235 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 -76.713415 East -76.526101 North 39.374324 South 39.200707 Scale Range There is no scale range for this item.

Parcels_PROW_LU_2003_BACI

   File Geodatabase Feature Class


   Thumbnail Not Available

   Tags

   BES, Parcel, Land Use, Urban, Land




   Summary


   BES research


   Description


   Parcel-based land use (LU) and public rights-of-way (PROW), for Baltimore City. Land use (LU) codes were obtained from the 2003 MD Property View A&Tdatabase.


   Credits


   Jarlath O'Neil-Dunne, UVM Spatial Analysis Lab


   Use limitations


   Approved BES research only


   Extent



   West -76.713449  East -76.525885 

   North 39.374474  South 39.195049 




   Scale Range

   There is no scale range for this item.

Single subway route for Baltimore City that extends into Baltimore County. No metadata was provided with this dataset; the UVM Spatial Analysis Lab has attempted to evaluate this dataset and generate metadata. There are no attributes associated with 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.

Brownfields_BACI

   File Geodatabase Feature Class


   Thumbnail Not Available

   Tags

   Biophysical Resources, Air, Land, Water, BES, Brownfields, Pollution




   Summary


   BES Analysis


   Description


   Brownfield parcels in 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 appears to have a high degree of positional accuracy based on comparisons with high resolution imagery.


   Credits


   Maryland Department of the Environment


   Use limitations


   BES research only.


   Extent



   West -76.661468  East -76.530941 

   North 39.334224  South 39.235433 




   Scale Range

   There is no scale range for this item.

Property Variables for Baltimore City. The Property Variables dataset is a compilation of variables obtained from the MD Property View 2003 Database and derived from BES geospatial datasets. The points in this dataset were subsetted from the MD MD Property View 2003 A&T Database. The criteria used to select these points was: - Can be linked to parcel data using BLOCKLOT2 - LU = Residential (residential land use) - CONSIDR > 10,000 and < 1.5 million (purchase price greater than $10,000 and less than $1.5 million) - STRUDWEL = 01, 02 or 03 (single family home or townhome) - Sales Date after Jan 1 2001. - SQFTSTRUC > 100 (square footage of the structure greater than 100) - YEARBLT > 0 (valid year built). Please refer to the enclosed documentation for a complete data dictionary along with Austin Troy's original request document with comments by Jarlath O'Neil-Dunne.

About this dataset

Context

The dataset tabulates the population of Baltimore city by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Baltimore city. The dataset can be utilized to understand the population distribution of Baltimore city by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Baltimore city. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Baltimore city.

Key observations

Largest age group (population): Male # 30-34 years (25,790) | Female # 30-34 years (28,422). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.

Variables / Data Columns

• Age Group: This column displays the age group for the Baltimore city population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Baltimore city is shown in the following column.
• Population (Female): The female population in the Baltimore city is shown in the following column.
• Gender Ratio: Also known as the sex ratio, this column displays the number of males per 100 females in Baltimore city for each age group.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Baltimore city Population by Gender. You can refer the same here

Subway Stations for a single subway route that runs from Baltimore City to Baltimore County. No metadata was provided with this dataset; the UVM Spatial Analysis Lab has attempted to evaluate this dataset and generate metadata.

   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.

CAMA_2003_BACI_1

   File Geodatabase Feature Class


   Thumbnail Not Available

   Tags

   There are no tags for this item.




   Summary

   There is no summary for this item.


   Description


   MD Property View 2003 CAMA Database. For more information on the CAMA Database refer to the enclosed documentation. This layer was edited to remove spatial outliers in the CAMA Database. Spatial outliers are those points that were not geocoded and as a result fell outside of the Baltimore City Boundary. 254 spatial outliers were removed from this layer.


   Credits

   There are no credits for this item.


   Use limitations

   There are no access and use limitations for this item.


   Extent



   West -76.713415  East -76.526101 

   North 39.374324  South 39.200707 




   Scale Range

   There is no scale range for this item.

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.