The layer will be removed from the iMap Data Catalog in the near future. To access the most recent Baltimore City neighborhood data please visit https://data.baltimorecity.gov/datasets/baltimore::neighborhood-1.

Tags survey, environmental behaviors, lifestyle, status, PRIZM, Baltimore Ecosystem Study, LTER, BES Summary BES Research, Applications, and Education Description XY Positions for BES telephone survey. The BES Household Survey 2003 is a telephone survey of metropolitan Baltimore residents consisting of 29 questions. The survey research firm, Hollander, Cohen, and McBride conducted the survey, asking respondents questions about their outdoor recreation activities, watershed knowledge, environmental behavior, neighborhood characteristics and quality of life, lawn maintenance, satisfaction with life, neighborhood, and the environment, and demographic information. The data from each respondent is also associated with a PRIZM� classification, census block group, and latitude-longitude. PRIZM� classifications categorize the American population using Census data, market research surveys, public opinion polls, and point-of-purchase receipts. The PRIZM� classification is spatially explicit allowing the survey data to be viewed and analyzed spatially and allowing specific neighborhood types to be identified and compared based on the survey data. The census block group and latitude-longitude data also allow us additional methods of presenting and analyzing the data spatially. The household survey is part of the core data collection of the Baltimore Ecosystem Study to classify and characterize social and ecological dimensions of neighborhoods (patches) over time and across space. This survey is linked to other core data including US Census data, remotely-sensed data, and field data collection, including the BES DemSoc Field Observation Survey. The BES 2003 telephone survey was conducted by Hollander, Cohen, and McBride from September 1-30, 2003. The sample was obtained from the professional sampling firm Claritas, in order that their "PRIZM" encoding would be appended to each piece of sample (telephone number) supplied. Mailing addresses were also obtained so that a postcard could be sent in advance of interviewers calling. The postcard briefly informed potential respondents about the survey, who was conducting it, and that they might receive a phone call in the next few weeks. A stratified sampling method was used to obtain between 50 - 150 respondents in each of the 15 main PRIZM classifications. This allows direct comparison of PRIZM classifications. Analysis of the data for the general metropolitan Baltimore area must be weighted to match the population proportions normally found in the region. They obtained a total of 9000 telephone numbers in the sample. All 9,000 numbers were dialed but contact was only made on 4,880. 1508 completed an interview, 2524 refused immediately, 147 broke off/incomplete, 84 respondents had moved and were no longer in the correct location, and a qualified respondent was not available on 617 calls. This resulted in a response rate of 36.1% compared with a response rate of 28.2% in 2000. The CATI software (Computer Assisted Terminal Interviewing) randomized the random sample supplied, and was programmed for at least 3 attempted callbacks per number, with emphasis on pulling available callback sample prior to accessing uncalled numbers. Calling was conducted only during evening and weekend hours, when most head of households are home. The use of CATI facilitated stratified sampling on PRIZM classifications, centralized data collection, standardized interviewer training, and reduced the overall cost of primary data collection. Additionally, to reduce respondent burden, the questionnaire was revised to be concise, easy to understand, minimize the use of open-ended responses, and require an average of 15 minutes to complete. The household survey is part of the core data collection of the Baltimore Ecosystem Study to classify and characterize social and ecological dimensions of neighborhoods (patches) over time and across space. This survey is linked to other core data, including US Census data, remotely-sensed data, and field data collection, including the BES DemSoc Field Observation Survey. Additional documentation of this database is attached to this metadata and includes 4 documents, 1) the telephone survey, 2) documentation of the telephone survey, 3) metadata for the telephone survey, and 4) a description of the attribute data in the BES survey 2003 survey. This database was created by joining the GDT geographic database of US Census Block Group geographies for the Baltimore Metropolitan Statisticsal Area (MSA), with the Claritas PRIZM database, 2003, of unique classifications of each Census Block Group, and the unique PRIZM code for each respondent from the BES Household Telephone Survey, 2003. The GDT database is preferred and used because of its higher spatial accuracy than other databases describing US Census geographies, including those provided by the US Census. This database includes data only for environmental behaviors: How likely would you be to take part in the following efforts to improve and maintain the quality of the watersheds near where you live, very unlikely, somewhat unlikely, somewhat likely, very likely? A) pay increased recreation or other usage fees, b) support a modest (small) tax increase to be used for water quality issues, c) support legislation to require all developments be set back from streams and flood plains, and d) volunteer to work on cleanup and/or pollution patrols." The response is the percentage of respondents in that Prizm class who score "somewhat likely" or "very likely" on an index across all four of the environmental behavior questions. Credits Publications using data from the Baltimore Ecosystem Study Website shall include the following paragraph: Some data used in this publication was obtained by scientists of the Baltimore Ecosystem Study; this publication has not been reviewed by those scientists. The Baltimore Ecosystem Study operated and maintained by the Institute of Ecosystem Studies, Millbrook, New York. Rules for Use of the Data: As a condition for access to data provided by researchers of the Baltimore Ecosystem Study, I agree to abide by the following: A. I agree to notify the Baltimore Ecosystem Study scientists who gathered data if I would like to use those data in any publication. I acknowledge that these data were gathered by Baltimore Ecosystem Study scientists because they had already perceived the importance of these data for a variety of scientific and societal issues. I will provide them with formal recognition that, at their discretion, may include co-authorship or acknowledgements on publications. B. I realize that the researchers who gathered these data may be using them for scientific analyses, papers or publications that are currently planned or in preparation, and that such activities have precedence over any that I might wish to prepare. In this case, my preparation of any work may be delayed, at the option of the Baltimore Ecosystem Study researchers involved, until their work is completed. C. Because it may be possible to misinterpret a data set if it is taken out of context, I will seek the assistance and opinion of those Baltimore Ecosystem Study researchers involved in the design of a study and the collection of the data as I analyze the data. Moreover, I realize that this computer data set is not complete, and it may contain errors. The complete data set includes extensive written documentation, which should be referenced to reduce the chance of errors in data and errors of interpretation Use limitations none Extent West -76.862916 East -76.348105 North 39.719009 South 39.220513

This data shows the extends of the community associations in Baltimore County. It gives the name of the association and if the association is currently active in Baltimore County. This data can be linked to the Planning Dept. "contacts" database which contains the association contact information, president, terms, bylaws, etc.

Boundaries for all the adopted community plans in Baltimore County. Community Plans are created to develop community-specific detail, relevant policies, and implementation strategies necessary to fulfill planning objectives of the communities.

This web map presents a vector basemap of OpenStreetMap (OSM) data hosted by Esri. Esri created this vector tile basemap from the Daylight map distribution of OSM data, which is supported by Facebook and supplemented with additional data from Microsoft. This version of the map is rendered using OSM cartography. The OSM Daylight map will be updated every month with the latest version of OSM Daylight data.OpenStreetMap is an open collaborative project to create a free editable map of the world. Volunteers gather location data using GPS, local knowledge, and other free sources of information and upload it. The resulting free map can be viewed and downloaded from the OpenStreetMap site:www.OpenStreetMap.org. Esri is a supporter of the OSM project and is excited to make this enhanced vector basemap available to the ArcGIS user and developer communities.

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.

Long term sampling framework for the Baltimore MSA comprised of contiguous 300 meter grid cells. Used for: telephone survey, field observation survey (observational and photo data), and key informant photo-documentation (text / narrative and photo data). A unique ID, 'GridCell', is used to establish the relationship between this layer and the field data. 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.

Geocoded for Baltimore County. The BES Household Survey 2003 is a telephone survey of metropolitan Baltimore residents consisting of 29 questions. The survey research firm, Hollander, Cohen, and McBride conducted the survey, asking respondents questions about their outdoor recreation activities, watershed knowledge, environmental behavior, neighborhood characteristics and quality of life, lawn maintenance, satisfaction with life, neighborhood, and the environment, and demographic information. The data from each respondent is also associated with a PRIZM(r) classification, census block group, and latitude-longitude. PRIZM(r) classifications categorize the American population using Census data, market research surveys, public opinion polls, and point-of-purchase receipts. The PRIZM(r) classification is spatially explicit allowing the survey data to be viewed and analyzed spatially and allowing specific neighborhood types to be identified and compared based on the survey data. The census block group and latitude-longitude data also allow us additional methods of presenting and analyzing the data spatially. The household survey is part of the core data collection of the Baltimore Ecosystem Study to classify and characterize social and ecological dimensions of neighborhoods (patches) over time and across space. This survey is linked to other core data including US Census data, remotely-sensed data, and field data collection, including the BES DemSoc Field Observation Survey. The BES 2003 telephone survey was conducted by Hollander, Cohen, and McBride from September 1-30, 2003. The sample was obtained from the professional sampling firm Claritas, in order that their "PRIZM" encoding would be appended to each piece of sample (telephone number) supplied. Mailing addresses were also obtained so that a postcard could be sent in advance of interviewers calling. The postcard briefly informed potential respondents about the survey, who was conducting it, and that they might receive a phone call in the next few weeks. A stratified sampling method was used to obtain between 50 - 150 respondents in each of the 15 main PRIZM classifications. This allows direct comparison of PRIZM classifications. Analysis of the data for the general metropolitan Baltimore area must be weighted to match the population proportions normally found in the region. They obtained a total of 9000 telephone numbers in the sample. All 9,000 numbers were dialed but contact was only made on 4,880. 1508 completed an interview, 2524 refused immediately, 147 broke off/incomplete, 84 respondents had moved and were no longer in the correct location, and a qualified respondent was not available on 617 calls. This resulted in a response rate of 36.1% compared with a response rate of 28.2% in 2000. The CATI software (Computer Assisted Terminal Interviewing) randomized the random sample supplied, and was programmed for at least 3 attempted callbacks per number, with emphasis on pulling available callback sample prior to accessing uncalled numbers. Calling was conducted only during evening and weekend hours, when most head of households are home. The use of CATI facilitated stratified sampling on PRIZM classifications, centralized data collection, standardized interviewer training, and reduced the overall cost of primary data collection. Additionally, to reduce respondent burden, the questionnaire was revised to be concise, easy to understand, minimize the use of open-ended responses, and require an average of 15 minutes to complete. The household survey is part of the core data collection of the Baltimore Ecosystem Study to classify and characterize social and ecological dimensions of neighborhoods (patches) over time and across space. This survey is linked to other core data, including US Census data, remotely-sensed data, and field data collection, including the BES DemSoc Field Observation Survey. Additional documentation of this database is attached to this metadata and includes 4 documents, 1) the telephone survey, 2) documentation of the telephone survey, 3) metadata for the telephone survey, and 4) a description of the attribute data in the BES survey 2003 survey. This database was created by joining the GDT geographic database of US Census Block Group geographies for the Baltimore Metropolitan Statisticsal Area (MSA), with the Claritas PRIZM database, 2003, of unique classifications of each Census Block Group, and the unique PRIZM code for each respondent from the BES Household Telephone Survey, 2003. The GDT database is preferred and used because of its higher spatial accuracy than other databases describing US Census geographies, including those provided by the US Census. This database includes data only for environmental behaviors: How likely would you be to take part in the following efforts to improve and maintain the quality of the watersheds near where you live, very unlikely, somewhat unlikely, somewhat likely, very likely? a) pay increased

This study examined the effects of police arrest policies and incarceration policies on communities in 30 neighborhoods in Baltimore. Specifically, the study addressed the question of whether aggressive arrest and incarceration policies negatively impacted social organization and thereby reduced the willingness of area residents to engage in informal social control, or collective efficacy. CRIME CHANGES IN BALTIMORE, 1970-1994 (ICPSR 2352) provided aggregate community-level data on demographics, socioeconomic attributes, and crime rates as well as data from interviews with residents about community attachment, cohesiveness, participation, satisfaction, and experiences with crime and self-protection. Incident-level offense and arrest data for 1987 and 1992 were obtained from the Baltimore Police Department. The Maryland Department of Public Safety and Corrections provided data on all of the admissions to and releases from prisons in neighborhoods in Baltimore City and Baltimore County for 1987, 1992, and 1994.

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).

Baltimore County's 17 officially designated Commercial Revitalization Districts are the "front doors" to our desired established communities. Each district is staffed by a planner who works closely with the business and property owners, business associations and the local communities to provide a range of services aimed at maintaining the health and vitality of our neighborhood commercial areas.

Geocoded for Baltimore County. The BES Household Survey 2003 is a telephone survey of metropolitan Baltimore residents consisting of 29 questions. The survey research firm, Hollander, Cohen, and McBride conducted the survey, asking respondents questions about their outdoor recreation activities, watershed knowledge, environmental behavior, neighborhood characteristics and quality of life, lawn maintenance, satisfaction with life, neighborhood, and the environment, and demographic information. The data from each respondent is also associated with a PRIZM(r) classification, census block group, and latitude-longitude. PRIZM(r) classifications categorize the American population using Census data, market research surveys, public opinion polls, and point-of-purchase receipts. The PRIZM(r) classification is spatially explicit allowing the survey data to be viewed and analyzed spatially and allowing specific neighborhood types to be identified and compared based on the survey data. The census block group and latitude-longitude data also allow us additional methods of presenting and analyzing the data spatially. The household survey is part of the core data collection of the Baltimore Ecosystem Study to classify and characterize social and ecological dimensions of neighborhoods (patches) over time and across space. This survey is linked to other core data including US Census data, remotely-sensed data, and field data collection, including the BES DemSoc Field Observation Survey. The BES 2003 telephone survey was conducted by Hollander, Cohen, and McBride from September 1-30, 2003. The sample was obtained from the professional sampling firm Claritas, in order that their "PRIZM" encoding would be appended to each piece of sample (telephone number) supplied. Mailing addresses were also obtained so that a postcard could be sent in advance of interviewers calling. The postcard briefly informed potential respondents about the survey, who was conducting it, and that they might receive a phone call in the next few weeks. A stratified sampling method was used to obtain between 50 - 150 respondents in each of the 15 main PRIZM classifications. This allows direct comparison of PRIZM classifications. Analysis of the data for the general metropolitan Baltimore area must be weighted to match the population proportions normally found in the region. They obtained a total of 9000 telephone numbers in the sample. All 9,000 numbers were dialed but contact was only made on 4,880. 1508 completed an interview, 2524 refused immediately, 147 broke off/incomplete, 84 respondents had moved and were no longer in the correct location, and a qualified respondent was not available on 617 calls. This resulted in a response rate of 36.1% compared with a response rate of 28.2% in 2000. The CATI software (Computer Assisted Terminal Interviewing) randomized the random sample supplied, and was programmed for at least 3 attempted callbacks per number, with emphasis on pulling available callback sample prior to accessing uncalled numbers. Calling was conducted only during evening and weekend hours, when most head of households are home. The use of CATI facilitated stratified sampling on PRIZM classifications, centralized data collection, standardized interviewer training, and reduced the overall cost of primary data collection. Additionally, to reduce respondent burden, the questionnaire was revised to be concise, easy to understand, minimize the use of open-ended responses, and require an average of 15 minutes to complete. The household survey is part of the core data collection of the Baltimore Ecosystem Study to classify and characterize social and ecological dimensions of neighborhoods (patches) over time and across space. This survey is linked to other core data, including US Census data, remotely-sensed data, and field data collection, including the BES DemSoc Field Observation Survey. Additional documentation of this database is attached to this metadata and includes 4 documents, 1) the telephone survey, 2) documentation of the telephone survey, 3) metadata for the telephone survey, and 4) a description of the attribute data in the BES survey 2003 survey. This database was created by joining the GDT geographic database of US Census Block Group geographies for the Baltimore Metropolitan Statisticsal Area (MSA), with the Claritas PRIZM database, 2003, of unique classifications of each Census Block Group, and the unique PRIZM code for each respondent from the BES Household Telephone Survey, 2003. The GDT database is preferred and used because of its higher spatial accuracy than other databases describing US Census geographies, including those provided by the US Census. This database includes data only for environmental behaviors: How likely would you be to take part in the following efforts to improve and maintain the quality of the watersheds ne... Visit https://dataone.org/datasets/knb-lter-bes.336.570 for complete metadata about this dataset.

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.

RecCenters_BACI File Geodatabase Feature Class Thumbnail Not Available Tags BES, Recreational, Rec Summary BES analysis. Description Recreational Centers in Baltimore City. This dataset was obtained from BNIA; no metadata was provided. A limited assessment comparing this dataset to IKONOS imagery acquired in 2001 indicates that the point locations have most likely been geocoded and thus are in the vicinity of, but generally not at the precise location of the facility. Credits BNIA Use limitations BES research only. Extent West -76.695292 East -76.535325 North 39.367133 South 39.223398 Scale Range There is no scale range for this item.

These retrofit areas were producing by overlaying certain weighted data layers based on the following categories:• Transportation Access• Land Use/Ownership • Funding Resources• Demographic Status• Neighborhood Deficiency• Neighborhood Assets• Employment OppotunitiesThe data layers and their weights were unioned together into one layer and broken out into 5 categories based on the total weight for each area. Lowest (0-10); Low (11-16); Moderate (17-21); High (22-24); Highest (25-43). This data layer only shows the Highest level category which was chosen as areas prime for retrofit.This analysis was run only for the Urban portion inside the Urban Rural Demarcation Line (URDL) and shows areas inside the URDL that are prime for retrofitting for infill development.

DrugCenters_BACI File Geodatabase Feature Class Thumbnail Not Available Tags BES, Drug, Drug Center, Socioeconomic, BNIA Summary Socioeconomic analysis. Description Baltimore City Drug Centers. This dataset was obtained from BNIA; no metadata was provided. A limited assessment comparing this dataset to IKONOS imagery acquired in 2001 indicates that the point locations have most likely been geocoded and thus are in the vicinity of, but generally not at the precise location of the facility. Credits BNIA Use limitations BES research only. Extent West -76.702090 East -76.538658 North 39.371937 South 39.251929 Scale Range There is no scale range for this item.

schools_BACI File Geodatabase Feature Class Thumbnail Not Available Tags BES, Education, Schools Summary BES analysis. Description Locations of schools in Baltimore City. This dataset was obtained from BNIA; no metadata was provided. A limited assessment comparing this dataset to IKONOS imagery acquired in 2001 indicates that the point locations have most likely been geocoded and thus are in the vicinity of, but generally not at the precise location of the facility. Credits BNIA Use limitations BES research only. Extent West -76.705042 East -76.529645 North 39.367549 South 39.223847 Scale Range There is no scale range for this item.

Museums_BACI File Geodatabase Feature Class Thumbnail Not Available Tags BES, Museum Summary Socioeconomic analysis. Description Location of museums in Baltimore City. This dataset was obtained from BNIA; no metadata was provided. A limited assessment comparing this dataset to IKONOS imagery acquired in 2001 indicates that the point locations have most likely been geocoded and thus are in the vicinity of, but generally not at the precise location of the facility. Credits BNIA Use limitations BES research only. Extent West -76.643310 East -76.579950 North 39.363830 South 39.262267 Scale Range There is no scale range for this item.