This data set describes Neighborhood Clusters that have been used for community planning and related purposes in the District of Columbia for many years. It does not represent boundaries of District of Columbia neighborhoods. Cluster boundaries were established in the early 2000s based on the professional judgment of the staff of the Office of Planning as reasonably descriptive units of the City for planning purposes. Once created, these boundaries have been maintained unchanged to facilitate comparisons over time, and have been used by many city agencies and outside analysts for this purpose. (The exception is that 7 “additional” areas were added to fill the gaps in the original dataset, which omitted areas without significant neighborhood character such as Rock Creek Park, the National Mall, and the Naval Observatory.) The District of Columbia does not have official neighborhood boundaries. The Office of Planning provides a separate data layer containing Neighborhood Labels that it uses to place neighborhood names on its maps. No formal set of standards describes which neighborhoods are included in that dataset.Whereas neighborhood boundaries can be subjective and fluid over time, these Neighborhood Clusters represent a stable set of boundaries that can be used to describe conditions within the District of Columbia over time.

This dataset was created by the DC Office of Planning and provides a simplified representation of the neighborhoods of the District of Columbia. These boundaries are used by the Office of Planning to determine appropriate locations for placement of neighborhood names on maps. They do not reflect detailed boundary information, do not necessarily include all commonly-used neighborhood designations, do not match planimetric centerlines, and do not necessarily match Neighborhood Cluster boundaries. There is no formal set of standards that describes which neighborhoods are represented or where boundaries are placed. These informal boundaries are not appropriate for display, calculation, or reporting. Their only appropriate use is to guide the placement of text labels for DC's neighborhoods. This is an informal product used for internal mapping purposes only. It should be considered draft, will be subject to change on an irregular basis, and is not intended for publication.

This dataset contains polygons that represent the boundaries of statistical neighborhoods as defined by the DC Department of Health (DC Health). DC Health delineates statistical neighborhoods to facilitate small-area analyses and visualization of health, economic, social, and other indicators to display and uncover disparate outcomes among populations across the city. The neighborhoods are also used to determine eligibility for some health services programs and support research by various entities within and outside of government. DC Health Planning Neighborhood boundaries follow census tract 2010 lines defined by the US Census Bureau. Each neighborhood is a group of between one and seven different, contiguous census tracts. This allows for easier comparison to Census data and calculation of rates per population (including estimates from the American Community Survey and Annual Population Estimates). These do not reflect precise neighborhood locations and do not necessarily include all commonly-used neighborhood designations. There is no formal set of standards that describes which neighborhoods are included in this dataset. Note that the District of Columbia does not have official neighborhood boundaries. Origin of boundaries: each neighborhood is a group of between one and seven different, contiguous census tracts. They were originally determined in 2015 as part of an analytical research project with technical assistance from the Centers for Disease Control and Prevention (CDC) and the Council for State and Territorial Epidemiologists (CSTE) to define small area estimates of life expectancy. Census tracts were grouped roughly following the Office of Planning Neighborhood Cluster boundaries, where possible, and were made just large enough to achieve standard errors of less than 2 for each neighborhood's calculation of life expectancy. The resulting neighborhoods were used in the DC Health Equity Report (2018) with updated names. HPNs were modified slightly in 2019, incorporating one census tract that was consistently suppressed due to low numbers into a neighboring HPN (Lincoln Park incorporated into Capitol Hill). Demographic information were analyzed to identify the bordering group with the most similarities to the single census tract. A second change split a neighborhood (GWU/National Mall) into two to facilitate separate analysis.

Strategic Neighborhood Investment Program (SNIP) - A targeted investment policy wherein priority District areas receive a series of comprehensive public actions or funds to complement and/or catalyze private sector investment. These are not neighborhood boundaries. The Government of the District of Columbia does not provide official neighborhood boundaries.

The main purposes of this online map are 1. to demonstrate the Web-Based Geographic Information System (GIS) in the District of Columbia Office of Tax and Revenue (OTR) Real Property Tax Administration (RPTA), and 2. to share detailed real property data and information to real property owners, the public, and other government entities. The rich map and interactive application include relevant real property valuation contributing map layers, links to original source agencies, and a variety of search, query, and analysis options to meet the needs of a wide user base. The location and links to the original DC Boundary Stones add a fun, historical,and educational component.The Office of the Chief Financial Officer, DC Office of Tax and Revenue (OTR), Real Property Assessment Division values all real property in the District of Columbia. The public interactive online DC Office of Tax and Revenue Real Property Assessment Lot Map Search application accompanies the OTR Tax Payer Service Center and may be used to search for and view all real property, related assessment areas, assessment data, and detailed assessment information.

Data Source: Open Data DC and American Community Survey (ACS) 5-Year Estimates

Why This Matters

Urban green spaces provide an array of health benefits, including protection from extreme heat, reducing stress and anxiety, and offering a place to stay physically active.

Parks can serve as a social gathering space in neighborhoods, offering a location for residents to host events, play sports, and connect with their neighbors. This benefit can be particularly beneficial for elderly individuals as they are more likely to suffer from social isolation.

While the District is considered a national leader in park equity today, this has not always been the case. Until 1954, many DC parks and playgrounds were segregated, either prohibiting their use by Black residents or only allowing them to be used during certain hours.

The District Response

The District consistently ranks well nationally for park equity, receiving a higher Trust for Public Land ParkScore®rating than any other city for four consecutive years (2021-2024). Unlike most cities in the US, District residents have access to a similar amount of park space regardless of their neighborhood’s racial demographics.

The District Department of Transportation’s Urban Forestry Division is on track to reach a goal of tree canopy coverage for 40% of the District, promoting better air quality and cooling our neighborhoods. Residents can also request the planting of a new street tree near them.

The Department of Parks and Recreation and the Department of General Services are modernizing and renovating parks across the District to improve park services, safety, and utilization.

These datasets contain comprehensive information on current real estate listings in Washington, D.C., obtained from Zillow, and offer a detailed overview of the Washington, D.C. housing market as of 5th June 2024.

The data was extracted from Zillow using a combination of two scraping tools from Apify: Zillow ZIP Code Scraper 🔗 https://apify.com/maxcopell/zillow-zip-search and Zillow Details Scraper 🔗 https://apify.com/maxcopell/zillow-detail-scraper.

The full dataset includes all details for each listing for sale, such as:

• 📍 Complete address, city, state, zip code, latitude/longitude coordinates
• 🏡 Property type (single family, condo, apartment, etc.)
• 💵 Listing price
• 🛏️ Number of bedrooms and bathrooms
• 📐 Square footage
• 🌳 Lot size in acres (if applicable)
• 🏗️ Year of construction
• 🏘️ HOA fees (if applicable)
• 💸 Property tax history
• ✨ Amenities such as rooftop terraces, concierge services, etc.
• 🏫 Nearby schools and their GreatSchools ratings
• 🧑‍💼 Property and listing agents, brokers, and their contact information
• 🕒 Availability for tours and open houses
• 🖼️ Links to listing photos

With over 5,000 current listings, this dataset is perfect for in-depth analysis of the Washington, D.C. housing market and the Washington, D.C. real estate scene. Potential applications include:

• Comparing listing prices and price per square foot across various neighborhoods and property types
• Mapping listings to visualize the spatial distribution of available inventory
• Analyzing the age of available housing stock using year-of-construction data
• Assessing typical HOA fees and property taxes for listings
• Identifying listings with desirable amenities
• Evaluating school quality near listings using GreatSchools ratings
• Contacting listing agents programmatically using the provided agent information

Whether you're a real estate professional, market analyst, data scientist, or simply interested in the Washington, D.C., housing market, this dataset offers a wealth of information to explore. You can begin investigating and discovering insights into Washington, D.C. real estate today.

Advisory Neighborhood Commissions (ANCs) were created pursuant to legislation approving the District of Columbia's Home Rule charter in 1973. They are collections of Single Member Districts (SMDs). ANCs allow input from an advisory board made up of the residents of the neighborhoods directly affected by government action. The ANCs are the body of government with the closest official ties to the people in a neighborhood. ANCs present their positions and recommendations on issues to various District government agencies, the Executive Branch, and the Council. They also present testimony to independent agencies, boards and commissions, usually under rules of procedure specific to those entities. By law, the ANCs may also present their positions to Federal agencies. ANCs consider a wide range of policies and programs affecting their neighborhoods. These include traffic, parking, recreation, street improvements, liquor licenses, zoning, economic development, police protection, sanitation and trash collection, and the District's annual budget. No public policy area is excluded from the purview of the Advisory Neighborhood Commissions. ANCs present their positions and recommendations on issues to various District government agencies, the Executive Branch, and the Council. They also present testimony to independent agencies, boards and commissions, usually under rules of procedure specific to those entities. By law, the ANCs may also present their positions to Federal agencies.This dataset reflects the ANC boundaries delineated in the Advisory Neighborhood Commission Boundaries Act of 2022, signed into law on June 16, 2022. They are in effect beginning January 1, 2023.

Table from the American Community Survey (ACS) 5-year series on education enrollment and attainment related topics for City of Seattle Council Districts, Comprehensive Plan Growth Areas and Community Reporting Areas. Table includes B14007/B14002 School Enrollment, B15003 Educational Attainment. Data is pulled from block group tables for the most recent ACS vintage and summarized to the neighborhoods based on block group assignment.

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) System (MTS). The MTS 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 MTS Super Class "Road/Path Features" distinguished where the MAF/TIGER Feature Classification Code (MTFCC) for the feature in the MTS 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.

DPW is charged with ensuring the cleanliness of the District’s residential neighborhoods, high-visibility commercial areas, and industrial zones. DPW also ensures the availability of parking for all by encouraging compliance with parking regulations. Users can explore and download data about the agency’s top ten service requests. The app includes summary statistics by service request type, a date range search, a city heat map of requests and a SLA Report by service request. View how the agency is responding to 311 service requests that support their mission.

The dataset contains a subset of locations and attributes of incidents reported in the ASAP (Analytical Services Application) crime report database by the District of Columbia Metropolitan Police Department (MPD). Visit crimecards.dc.gov for more information. This data is shared via an automated process where addresses are geocoded to the District's Master Address Repository and assigned to the appropriate street block. Block locations for some crime points could not be automatically assigned resulting in 0,0 for x,y coordinates. These can be interactively assigned using the MAR Geocoder.On February 1 2020, the methodology of geography assignments of crime data was modified to increase accuracy. From January 1 2020 going forward, all crime data will have Ward, ANC, SMD, BID, Neighborhood Cluster, Voting Precinct, Block Group and Census Tract values calculated prior to, rather than after, anonymization to the block level. This change impacts approximately one percent of Ward assignments.

Census tracts eligible for the Neighborhood Prosperity Fund (NPF), pursuant to DC Official Code §2-1225.21.

The DC Office of the Chief Financial Officer (OCFO), Office of Tax and Revenue (OTR), Real Property Tax Administration (RPTA) values all real property in the District of Columbia. This public interactive Real Property Assessment map application accompanies the OCFO MyTax DC and OTR websites. Use this mapping application to search for and view all real property, assessment valuation data, assessment neighborhood areas and sub-areas, detailed assessment information, and many real property valuation reports by various political and administrative areas. View by other administrative areas such as DC Wards, ANCs, DC Squares, and by specific real property characteristics such as property type and/or sale date. If you have questions, comments, or suggestions regarding the Real Property Assessment Map, contact the Real Property Assessment Division GIS Program at (202) 442-6484 or maps.title@dc.gov.

In 2006, Great Streets began as a three-prong, commercial revitalization initiative to transform emerging corridors throughout the District of Columbia into thriving and inviting neighborhood centers. Led by the Office of the Deputy Mayor for Planning and Economic Development (DMPED) in conjunction with the Office of Planning (OP) and the District Department of Transportation (DDOT), Great Streets has grown into a multi-year, multi-agency program that utilizes public actions and resources to leverage private investment in retail, office space, housing, and cultural facilities across the District. The Government of the District of Columbia through the Office of the Deputy Mayor for Planning and Economic Development (DMPED) administers the Great Streets Retail Small Business Reimbursement Grants, which are competitive grants of up to $50,000 for qualified small business owners who wish to improve their place of business. The purpose of the grant program is to support existing small businesses, attract new businesses, increase the District's tax base, create new job opportunities for District residents, and transform emerging commercial corridors into thriving and inviting neighborhood centers.The Office of the Chief Technology Officer used DC Council Code § 2–1217.73. Retail Priority Areas to geographically display the areas. Visit https://greatstreets.dc.gov for more information.

Advisory Neighborhood Commission (ANC) polygons. This dataset contains polygons representing ANC boundaries in 1990, created as part of the DC Geographic Information System (DC GIS) for the D.C. Office of the Chief Technology Officer (OCTO) and participating D.C. government agencies. These political jurisdictions were identified from public records, including published maps and written legal descriptions and heads-up digitized from the snapbase.

This web map displays the National Park Service (NPS) jurisdictional boundaries in the District of Columbia (DC) overlaid with DC datasets for Advisory Neighborhood Commission (ANC), Single Member District (SMD) , Business Improvement Districts (BIDs), and Wards. It"s intended purpose is to assist in planning efforts by linking NPS and DC groups. THE NPS BOUNDARY LAYERS ARE FOR DISPLAY PURPOSES ONLY. THEY DOES NOT REPRESENT THE LEGAL BOUNDARY. This is not the official tracts or boundary dataset. Official tract data is available as part of the National Park Service Land Resources Division Tract and Boundary Service. That data can be accessed via the TractsNet web application: TractsNet - Public Version. The corresponding NPS DataStore on Integrated Resource Management Applications (IRMA) reference is Regional Datasets (Spatial Basedata), National Capital Region, National Park Service. DC Datasets used as Foundation Datasets:Advisory Neighborhood Commissions from 2023 (AGOL ID 43abcd2b386345228114505b188d58f1)Business Improvement Districts (AGOL ID 20ec5862d8f14bcbb9bf14f79c311406) Wards from 2022 (AGOL ID c5cd8b40fb784548a6680aead5f919ed) This web map is used in the NCR DC Information Web App.

The fall leaf collection program runs from the first week of November through the second week of January. This data highlights road ways where the Department of Public Works (DPW) will collect leaves at least twice by “vacuuming” loose leaves residents rake into their treebox(es). Loose leaves will be sent for composting. In neighborhoods with alley trash/recycling collections, bagged leaves may be placed where trash and recycling are collected.