A set of geo-coded community information embedded with spatial reference in textual database format. It contains a collection of locations points of interest in the community, such as school, clinic, library, sports ground, convenient store, railway station access, etc, with comprehensive address information, contact details and other related service information in Excel, Access and CSV formats.

This website enables discovering GEO resources through the GEO DAB and then viewing and sharing those through ArcGIS Online.

This API returns the broadband availability among the Community Anchor Institutions by geography type and ID.

The Overburdened Communities of Washington State dataset merges several critical and currently available data sources to identify census tracts where vulnerable populations face cumulative environmental and health impacts. This dataset integrates 2010 census tracts ranked 9 or 10 by the Washington Environmental Health Disparities (EHD) Map, tracts identified as "disadvantaged" by the federal Climate and Economic Justice Screening Tool (CEJST), and tracts overlapping with Tribal reservations (as recognized by the Bureau of Indian Affairs). The dataset covers urban, suburban, and rural areas, and varying in population and area size. These data support the identification of fund allocation under the CCA and HEAL Act, aiming to ensure equitable expenditures of funds towards environmental benefits and reduction of burdens in these critical areas. The dataset will be updated annually but is static between updates.

Fundamental to understanding evolving infrastructure and technology is understanding the drivers for energy communities that affect where and how infrastructure is placed and used. An Energy Community Geo Database aligned to carbon storage systems will aid stakeholders in decision making around key future infrastructure (e.g., CCS injection locations) placement while helping contextualize these analyses against past and present-day social and environmental attributes. Much of the data required to support analyses are available from authoritative, largely governmental sources, but at present are disparate and require time-consuming acquisition, integration, and upkeep for currency. The CCS-EC-GB v2.0 integrates datasets from various federal agencies and authoritative sources to aid stakeholders and decision makers of the social and environmental factors that might impact the viability of CCS and energy related project implementation. There are 5 categories in the CCS-EC-GB v2 database. Most of the layers within each category have been updated in this version. As compared to the old database, there is 1 new category in the CCS-EC-GB v2 database: infrastructure. This is an evolving project and application will be updated periodically with new datasets and information. Notes for consideration: This database/web map will be updated with additional as new data and information becomes available and has been processed, reviewed, and approved for release. Additional state and federal entity data are planned to be integrated and included in future revisions. Summary layers provided in this application are derived from proprietary layers and do not always contain key features (age, status, or TVD) and therefore might not be shown when data are queried for those features.

The Esri Community Portal for GEO organizes public content available through ArcGIS Online subscriptions in the various societal benefit areas defined by GEO.

The Esri Community Portal for GEO provides for data discovery, use in webmaps and application templates, all using just a browser.

Dataset is the anonymized responses from the 2014 Community Survey conducted by ETC Institute. Random surveys were sent to residents across our city to create an equal representation of at least 150 responses per Council District. Most answers are scored: 5- Very Satisfied 4- Satisfied 3- Neither 2- Dissatisfied 1- Very Dissatisfied 9- Don't Know While Most Important ranked questions refer to the preceding questions services and items ordered by letter. Not all Ranking questions are required and might not equal total number of surveys.

The City Charter specifically authorizes the use of this process for the development of sites containing 10 or more acres in a way that does not comply with underlying zoning. Typically, it is used for large scale, mixed-use developments. The Planning Commission and City Council approve a preliminary general plan with a set of development regulations. As the development progresses, usually in phases, the Planning Commission must approve final detailed plans. The final plans must be consistent with the approved preliminary plans.

Tree City USA is a national program that recognizes municipal commitment to community forestry. In return for meeting program requirements, Tree City USA participants expect social, economic, and/or environmental benefits. Understanding the geographic distribution and socioeconomic characteristics of Tree City USA communities at the national scale can offer insights into the motivations or barriers to program participation, and provide context for community forestry research at finer scales. In this study, researchers assessed patterns in Tree City USA participation for all U.S. communities with more than 2,500 people according to geography, community population size, and socioeconomic characteristics, such as income, education, and race. Nationally, 23.5% of communities studied were Tree City USA participants, and this accounted for 53.9% of the total population in these communities. Tree City USA participation rates varied substantially by U.S. region, but in each region participation rates were higher in larger communities, and long-term participants tended to be larger communities than more recent enrollees. In logistic regression models, owner occupancy rates were significant negative predictors of Tree City USA participation, education and percent white population were positive predictors in many U.S. regions, and inconsistent patterns were observed for income and population age. The findings indicate that communities with smaller populations, lower education levels, and higher minority populations are underserved regionally by Tree City USA, and future efforts should identify and overcome barriers to participation in these types of communities.

This dataset is associated with the following publication: Berland , A., D. Herrmann , and M. Hopton. National Assessment of Tree City USA Participation According to Geography andSocioeconomic Characteristics. Arboriculture & Urban Forestry. International Society of Arboriculture, Champaign, IL, USA, 42(2): 120-130, (2016).

latterworks/geo-img-dataset dataset hosted on Hugging Face and contributed by the HF Datasets community

Data from: American Community Survey, 5-year Series 2006-2010Community Reporting Area boundaries with American Community Survey data and attachments of census reports. Community Reporting Areas (CRAs) were established in 2004 as a standard, consistent, citywide geography for reporting purposes. There are 53 CRAs composed of from one to six census tracts.Neighborhood aggregations of American Community Survey tract-based data derived from the U.S. Census Bureau's demographic profiles (DP02-DP05). The geo service includes over 50 attributes of the most frequently requested data.Also includes custom reports in pdf format as attachments to each neighborhood.Please see the item page for the source map service for more information.When downloading the data, please select "GDB Download" under "Additional Resources" to preserve long field names and attachments. The associated file geodatabase contains a separate feature class for three levels of neighborhood geography - council districts, community reporting areas, and urban village demographic areas that includes these 50+ attributes.

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Links of Community Characteristics Snapshots for jurisdictions in San Diego Region with Geography and formatted jurisdictions.

Data from: American Community Survey, 5-year Series 2013-2017

Analysis of ‘Community Reporting Areas Profile ACS 5-year 2009-2013’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/be8d77b2-de4f-4340-b101-cbd33fa8bc18 on 27 January 2022.

--- Dataset description provided by original source is as follows ---

Data from: American Community Survey, 5-year Series 2009-2013

--- Original source retains full ownership of the source dataset ---

Analysis of ‘A Community Reporting Areas Profile ACS 5-year 2013-2017’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/1032addb-6af5-4537-b3c6-17286f0ab109 on 27 January 2022.

--- Dataset description provided by original source is as follows ---

Data from: American Community Survey, 5-year Series 2013-2017

--- Original source retains full ownership of the source dataset ---

To understand the relationship between place and politics, we must measure both political attitudes and the ways in which place is represented in the minds of individuals. In this paper, we assess a new measure of mental-representation of geography, in which survey respondents draw their own local communities on maps and describe them. This mapping measure has been used in Canada, the UK, Denmark, and the U.S. so far. We use a panel study in Canada to present evidence that these maps are both valid and reliable measures of a personally relevant geographic area, laying the measurement groundwork for the growing number of studies using this technology. We hope to set efforts to measure ‘place’ for the study of context and politics on firmer footing. Our validity assessments show that individuals are thinking about people and places with which they have regular contact when asked to draw their communities. Our reliability assessments show that people can draw more or less the same map twice, even when the exercise is repeated months later. Finally, we provide evidence that the concept of community is a tangible consideration in the minds of ordinary citizens and is not simply a normative aspiration or motivation.

Community Centers owned and operated by the City of Richmond.

ibm-aimc/geo-data-1b dataset hosted on Hugging Face and contributed by the HF Datasets community

ahmedheakl/redstar-geo-r1 dataset hosted on Hugging Face and contributed by the HF Datasets community