Neighborhood Walkability Explorer

People experience walkability at the neighborhood level—not through citywide averages. Sidewalks, street networks, transit access, nearby destinations, and land-use patterns all vary considerably within the same city. Understanding these neighborhood differences provides a more meaningful picture of how communities support walking and everyday accessibility.

The American Walkability Atlas measures neighborhood walkability across dozens of U.S. cities using GIS-based spatial analysis and the EPA National Walkability Index. Explore interactive maps, compare neighborhoods across cities, and discover how urban form shapes walkability within metropolitan areas.

Kevin Lynch's Concept of Neighborhoods

Throughout the Atlas, neighborhoods are interpreted using Kevin Lynch’s broader concept of districts rather than simply residential subdivisions. In The Image of the City (1960), Lynch identified districts as one of the five elements people use to understand and navigate cities, alongside paths, edges, nodes, and landmarks.

“Relatively large city areas which the observer can mentally go inside of, and which have some common character…the characteristics that determine districts are thematic continuities which may consist of an endless variety of components.”
— Kevin Lynch, The Image of the City (1960)

This perspective recognizes neighborhoods as places defined by shared physical, social, and functional characteristics rather than by administrative boundaries alone.

lynch districts

The image above depicts Kevin Lynch’s conceptualization of urban districts in Boston, as presented in The Image of the City (1960, p. 69).

beacon hill

Beacon Hill, Boston demonstrates many characteristics associated with highly walkable neighborhoods, including a connected street network, compact development, and a mix of land uses. Photo courtesy of the U.S. National Park Service (Beacon Hill, n.d.).

Quick Statistics

1,824

Neighborhoods Analyzed

51

Cities Represented

13.37

Average National Walkability Index

As of right now I have neighborhood level interactive maps for the following cities. Published means it is available to view while In Progress means its still being worked on: 

How to Read This Map

The colors on this map represent the EPA National Walkability Index, which measures how supportive a neighborhood’s built environment is for walking. Higher scores generally indicate greater street connectivity, a more diverse mix of land uses, better access to destinations, and stronger transit accessibility (U.S. Environmental Protection Agency, 2021b, 2021a).

Score

Walkability

What It Means

1.00–3.71

Very Low Walkability

Neighborhoods with few nearby destinations, disconnected street networks, and limited opportunities for walking. Most daily trips require driving.

3.72–6.43

Low Walkability

Some pedestrian infrastructure may be present, but destinations remain spread out and automobile travel is common.

6.44–9.15

Below Average Walkability

Neighborhoods offer a limited mix of nearby destinations and moderate street connectivity, making some trips walkable while others require a vehicle.

9.16–11.87

Moderate Walkability

A balanced mix of homes, businesses, and services with moderate street connectivity. Walking is practical for some daily activities.

11.88–14.59

Above Average Walkability

Well-connected streets and a greater variety of destinations make walking a convenient option for many everyday trips.

14.60–17.31

High Walkability

Dense, mixed-use neighborhoods with excellent connectivity, numerous destinations, and good access to transit encourage walking as a primary mode of travel.

17.32–20.00

Very High Walkability

The nation’s most walkable neighborhoods, where a highly connected street network, diverse land uses, nearby destinations, and transit access support walking for many daily needs.

Important: The National Walkability Index is a relative measure. Scores compare neighborhoods across the United States and are based on characteristics such as intersection density, land-use diversity, residential and employment density, transit accessibility, and access to destinations. A higher score indicates a built environment that is generally more supportive of walking, but it does not measure sidewalk quality, safety, crime, aesthetics, or local pedestrian conditions (U.S. Environmental Protection Agency, 2021b).

Variables of the National Walkability Index- Neighborhood Level

Neighborhood Intersection Density

Compare street connectivity across neighborhoods to identify highly connected areas that support safer and more direct pedestrian travel.

Neighborhood Transit Accessibility

Evaluate neighborhood access to nearby transit stops and identify communities with stronger connections to public transportation.

Neighborhood Employment Mix

Analyze how employment opportunities are distributed within neighborhoods and how local land uses support walkability.

Neighborhood Jobs & Housing Mix

Measure the balance between employment and residential development within neighborhoods to better understand mixed-use environments.

Further Reading

acorn street, beacon hill, boston

At the pedestrian level, Beacon Hill’s narrow streets, human-scale buildings, and continuous street walls create an environment that encourages walking. Photo courtesy of (“Beacon Hill, Boston,” 2026)

Key Takeaways

  • Most neighborhoods are moderately to highly walkable. Approximately 85% of neighborhoods fall within the Above Average Walkability, High Walkability, or Very High Walkability categories, indicating that much of the built environment provides at least moderate support for walking and access to everyday destinations.
  • Walkability varies significantly within the same municipality. Neighborhood-level analysis reveals substantial differences that municipal averages often conceal. Many cities contain highly walkable downtowns and mixed-use districts alongside lower-scoring suburban or specialized neighborhoods, highlighting the importance of evaluating walkability at a finer geographic scale.
  • The highest walkability scores are concentrated in compact urban centers. Downtown districts, historic neighborhoods, transit-oriented developments, university areas, and mixed-use commercial corridors consistently achieve the highest National Walkability Index scores because they combine connected street networks, diverse land uses, nearby destinations, and strong transit access.
  • Lower scores are generally associated with dispersed or specialized land uses. Neighborhoods characterized by low-density suburban development, disconnected street networks, industrial areas, airports, large parks, reservoirs, or other special-purpose land uses tend to receive lower walkability scores due to fewer nearby destinations and reduced street connectivity.
  • Neighborhood walkability provides valuable guidance for planning and investment. Because the National Walkability Index identifies where the built environment already supports walking—and where improvements may be most beneficial—it serves as an effective planning tool for prioritizing investments in street connectivity, mixed-use development, pedestrian infrastructure, and transit accessibility while recognizing that local conditions should always be confirmed through field observations and community engagement.

Methodology

Neighborhood scores are calculated by aggregating EPA National Walkability Index values for Census block groups within Neighborhood boundaries. This provides a consistent basis for comparing walkability across communities nationwide.

Distribution of EPA National Walkability Index Scores

neighborhoods distribution of epa national walkability index scores

Distribution of EPA National Walkability Index Scores for U.S. Neighborhoods:

  • Sample size (1,823 Neighborhoods)
  • Mean = 13.37
  • Median = 13.9
  • Min = 1
  • Max = 19.67
  • SD = 2.8

Neighborhood Walkability Analysis

Classification Categories

The American Walkability Atlas classifies neighborhoods into seven walkability categories based on National Walkability Index scores. The categories provide additional detail beyond the EPA’s four broad classifications while maintaining the same underlying National Walkability Index methodology. They describe how the built environment supports walking through the combined effects of street connectivity, transit accessibility, employment diversity, and the mix of jobs and households. The National Walkability Index itself is calculated using these four variables developed by the U.S. Environmental Protection Agency. Research has consistently shown that neighborhoods combining connected street networks with mixed land uses and accessible destinations encourage greater walking, improve accessibility, and support healthier travel behavior (Cervero & Kockelman, 1997; Ewing & Cervero, 2010; Frank et al., 2005)

  • Very High Walkability (17.32–20.00): Compact, mixed-use neighborhoods with highly connected street networks, abundant destinations, and excellent transit access where walking is a practical choice for many daily trips. These neighborhoods typically contain downtown districts, historic urban centers, or major mixed-use activity centers.
  • High Walkability (14.60–17.31): Well-connected neighborhoods with diverse land uses, strong street connectivity, and convenient access to employment, shopping, parks, schools, and transit. Walking is practical for many everyday activities, although some trips may still require driving or transit.
  • Above Average Walkability (11.88–14.59): Balanced neighborhoods where walking and driving both play important roles. Residents generally have reasonable access to everyday destinations through moderately connected street networks and a mix of residential and commercial development, although destinations may be more dispersed than in highly walkable areas.
  • Moderate Walkability (9.16–11.87): Neighborhoods where walking is practical for nearby destinations but automobile travel becomes increasingly necessary for longer trips. These areas often combine older walkable sections with newer suburban development, lower intersection density, or reduced transit accessibility.
  • Below Average Walkability (6.44–9.15): Predominantly suburban neighborhoods characterized by separated land uses, limited destination diversity, lower street connectivity, and greater dependence on automobiles. Walking is generally limited to recreation or short neighborhood trips.
  • Low Walkability (3.72–6.43): Low-density neighborhoods with disconnected street networks, limited nearby destinations, and minimal transit access. Most daily activities require driving because employment, shopping, and services are located relatively far from residential areas.
  • Very Low Walkability (1.00–3.71): Rural areas, large undeveloped landscapes, airport districts, industrial areas, parks, or highly dispersed suburban neighborhoods where the built environment provides very little support for walking. These locations typically have very low street connectivity, few destinations, and limited pedestrian infrastructure.

 

Planning Implications

The National Walkability Index provides planners with a valuable screening tool for evaluating how neighborhood design supports walking and access to daily destinations. Because the index combines street connectivity, transit accessibility, employment diversity, and the balance between jobs and housing, it helps identify neighborhoods where the built environment already supports walking and those where targeted improvements may be needed. The EPA developed the index specifically to support land-use planning, transportation planning, public health initiatives, and scenario analysis by providing a consistent nationwide measure of neighborhood walkability.

Neighborhoods classified as Very High or High Walkability typically represent established urban centers, historic neighborhoods, transit-oriented developments, or mixed-use districts where planning efforts should focus on preserving pedestrian infrastructure, maintaining transit service, encouraging infill development, and protecting neighborhood accessibility. These areas often serve as models for future walkable development while also requiring strategies to address housing affordability and displacement pressures associated with highly desirable walkable environments.

Neighborhoods within the Above Average and Moderate Walkability categories often present the greatest opportunity for incremental improvements. Investments such as new pedestrian crossings, sidewalk gap closures, bicycle infrastructure, transit enhancements, mixed-use redevelopment, and improved street connectivity can substantially increase walkability without requiring major redevelopment. Research by Cervero and Kockelman (1997) demonstrates that improving density, land-use diversity, and street design can significantly influence travel behavior, while Frank et al. (2005) found that neighborhoods combining connected streets with mixed land uses encourage higher levels of walking and physical activity.

For neighborhoods classified as Below Average, Low, or Very Low Walkability, long-term planning strategies may focus on improving connectivity, increasing destination diversity, expanding transit service, encouraging mixed-use development, and reducing automobile dependence where appropriate. However, planners should recognize that some low-scoring neighborhoods consist primarily of airports, industrial districts, large parks, protected natural areas, or rural landscapes where limited walkability reflects intended land uses rather than deficiencies in community design.

Overall, the National Walkability Index should be used alongside local knowledge, field observations, pedestrian infrastructure inventories, safety analyses, accessibility audits, and community engagement. While the index effectively measures characteristics of the built environment, it does not directly evaluate sidewalk quality, lighting, traffic speeds, crime, shade, topography, or other factors that influence the pedestrian experience.

 

Understanding Neighborhood Walkability

Neighborhood walkability reflects the degree to which residents can safely and conveniently reach everyday destinations on foot. Unlike municipal-level analyses, neighborhood-level measurements reveal localized differences in the built environment that are often hidden when entire cities are evaluated using a single average score.

The National Walkability Index measures four characteristics that research has consistently linked to walking behavior:

  • Intersection Density, representing street network connectivity.
  • Proximity to Transit Stops, measuring access to public transportation.
  • Employment Mix, reflecting the diversity of employment opportunities.
  • Employment and Household Mix, representing the balance between jobs and residential development.

Together, these variables estimate how supportive a neighborhood’s built environment is for walking. Numerous studies within the urban planning literature—including Cervero and Kockelman (1997), Ewing and Cervero (2010), and Frank et al. (2005)—have found that neighborhoods combining connected street networks, diverse land uses, and nearby destinations consistently generate more walking than neighborhoods characterized by disconnected streets and single-use development.

It is important to recognize that the National Walkability Index measures potential walkability rather than the quality of the pedestrian experience itself. Two neighborhoods with similar scores may differ substantially in sidewalk conditions, street trees, lighting, traffic safety, ADA accessibility, or perceived personal safety. Consequently, the index should be viewed as a planning indicator rather than a complete assessment of pedestrian conditions.

Perhaps the greatest strength of neighborhood-level analysis is its ability to identify variation within cities. Downtown districts, historic neighborhoods, university areas, and transit corridors frequently receive substantially higher scores than suburban neighborhoods located only a few miles away. This level of detail helps planners prioritize investments where improvements are likely to produce the greatest increases in accessibility and mobility.

 

Geographic Patterns in Neighborhood Walkability

The neighborhood data reveal several consistent geographic patterns across the United States.

The highest-scoring neighborhoods are generally concentrated in downtown business districts, historic urban neighborhoods, mixed-use commercial centers, transit-oriented developments, and university districts. These areas typically contain dense street networks, numerous destinations within walking distance, diverse employment opportunities, and strong transit accessibility—all characteristics emphasized within the EPA methodology.

Many cities exhibit a recognizable “center-to-edge” pattern in which walkability gradually declines with increasing distance from historic downtowns. Older neighborhoods developed before widespread automobile ownership often retain traditional grid street networks and mixed land uses that continue to support walking today. In contrast, many newer suburban neighborhoods are characterized by curvilinear street systems, cul-de-sacs, separated land uses, and greater automobile dependence, resulting in lower National Walkability Index scores.

The analysis also demonstrates substantial variation within municipalities. Cities commonly contain neighborhoods representing nearly every walkability category, from highly walkable downtowns to automobile-oriented suburban districts. This variation highlights the importance of evaluating neighborhoods individually rather than relying solely on municipal averages.

Lower-scoring neighborhoods frequently occur in areas dominated by airports, industrial facilities, parks, open space, reservoirs, rural landscapes, or recently developed suburban subdivisions. In many cases, these low scores reflect the intended function of the land rather than poor planning outcomes.

Overall, the geographic distribution reinforces decades of planning research showing that connected street networks, mixed land uses, transit accessibility, and compact development patterns consistently support higher levels of neighborhood walkability.

 

Overall Pattern

The National Walkability Index demonstrates that neighborhood walkability is distributed along a broad continuum rather than a simple distinction between walkable and unwalkable places. Most neighborhoods fall within the middle categories, indicating that they provide moderate support for walking while still relying on automobiles for many daily trips. Relatively few neighborhoods achieve the highest walkability classifications, reflecting the rarity of environments that simultaneously combine dense street networks, extensive transit service, diverse employment opportunities, and balanced residential development.

Across the United States, the strongest walkability consistently occurs in compact urban neighborhoods where transportation systems and land-use patterns reinforce one another. Historic downtowns, mixed-use districts, university neighborhoods, and transit-oriented centers continue to demonstrate the highest levels of accessibility because destinations, employment, housing, and transportation options are concentrated within relatively short distances.

Conversely, lower levels of walkability are generally associated with dispersed suburban development, separated land uses, lower street connectivity, and limited transit availability. These patterns are consistent with decades of planning research indicating that urban form strongly influences travel behavior and accessibility.

Perhaps the most important finding is that walkability is primarily a neighborhood characteristic rather than simply a municipal characteristic. Significant differences frequently exist between neighborhoods located within the same city, emphasizing the importance of neighborhood-scale analysis for planning decisions. Evaluating walkability at this level allows planners to identify where investments in connectivity, transit, mixed-use development, and pedestrian infrastructure are likely to have the greatest impact while recognizing that some low-scoring areas reflect specialized land uses rather than deficiencies in the built environment.

Together, these findings reinforce the National Walkability Index as a valuable planning tool for understanding how neighborhood design influences accessibility, transportation choice, and the overall functionality of the built environment. When combined with field observations and community input, neighborhood-level analysis provides a strong foundation for creating more connected, accessible, and walkable communities.

Defining Neighborhood Boundaries

A common question is, “What counts as a neighborhood?” Neighborhood boundaries in this atlas are derived from a combination of municipal GIS datasets, local planning departments, Census-designated neighborhoods, and, where no official boundaries exist, carefully developed custom boundaries.

Some cities, such as Los Angeles, Chicago, and Boston, provide readily available neighborhood shapefiles. Others, including Dallas, require interpretation because neighborhood boundaries are often subjective, overlapping, or organized hierarchically. For example, larger districts such as Northeast Dallas encompass smaller, distinct neighborhoods like Deep Ellum, Bryan Place, and Lower Greenville. Likewise, Downtown Dallas can be subdivided into eight recognized districts, including the Arts District, West End Historic District, and Farmers Market District.

Users may also notice that neighborhood analyses are available for Dallas, Arlington, and Irving, but not Fort Worth. At present, Fort Worth has not been evaluated at the neighborhood scale because many of its neighborhoods are too small to be meaningfully analyzed using Census block group data. Although Census blocks offer greater spatial precision, their small size introduces additional methodological challenges and reduces the consistency of comparisons across cities.

This issue is not unique to Fort Worth. Similar challenges have been encountered in neighborhoods such as Wolfe Park (Columbus); Freshkills Park, Sunnyside Yards, North and South Brother Islands, and Woodlawn Cemetery (New York City); Sunshine Gardens and Maywood (Indianapolis); Arcadia Heights (Salt Lake City); Industrial Corridor (Eugene); Yerba Buena Island, Produce Market, and Apparel City (San Francisco); Ballena Bay, East Shore, and Marina (Alameda); and East Elliott, Rancho Encantada, Torrey Hills, Los Peñasquitos Canyon, Fairbanks Ranch Country Club, and Via de la Valle (San Diego).

As higher-resolution and more consistent datasets become available, neighborhood-level analyses will be expanded to include these areas.

How Neighborhood Scores Are Calculated

Think of Census block groups as the building blocks of neighborhoods. Each neighborhood is made up of several block groups, and the walkability of those block groups is combined to produce a neighborhood-level score:

Entire City

├── Downtown

│      ├── Block Group A

│      ├── Block Group B

│      └── Block Group C

├── Midtown

│      ├── Block Group D

│      └── Block Group E

└── Uptown

       ├── Block Group F

       └── Block Group G

Limitations

The National Walkability Index provides a standardized measure for comparing neighborhood walkability across the United States. However, the EPA notes that the index should be interpreted alongside other information about the built environment and local context (U.S. Environmental Protection Agency, 2021b).

Measures Relative Walkability

The National Walkability Index ranks Census block groups using national percentile scores rather than assigning an absolute measure of walkability. A higher score indicates that a neighborhood is generally more supportive of walking compared with other block groups nationwide, but it does not guarantee that every street or destination within the neighborhood provides a high-quality pedestrian experience.

Limited to Four Built Environment Indicators

The EPA constructed the National Walkability Index using four measures:

  • Intersection density
  • Proximity to transit
  • Employment mix
  • Employment and household mix

Although these indicators capture important characteristics associated with walkability, they do not represent every factor that influences whether people choose to walk.

Does Not Measure Pedestrian Infrastructure Quality

The National Walkability Index does not evaluate the condition or quality of sidewalks, crosswalks, curb ramps, lighting, street trees, traffic speeds, or other streetscape features that influence pedestrian comfort and safety. Instead, it relies on nationally consistent datasets describing street connectivity, land-use patterns, and transit accessibility.

Based on Census Block Groups

The EPA calculates the National Walkability Index at the Census block group level. As a result, neighborhoods are represented by a single composite score that summarizes overall conditions within each block group. Local variation within a neighborhood or destinations located immediately outside block-group boundaries may not be fully reflected in the index.

Not a Measure of Individual Walking Behavior

The National Walkability Index estimates how supportive the built environment is for walking, but it does not measure how much people actually walk. Walking behavior is influenced by many additional factors, including personal preferences, demographics, weather, health, safety perceptions, and local travel patterns, which are outside the scope of the index.

Key Takeaway

The National Walkability Index is a valuable tool for comparing neighborhood walkability using a nationally consistent methodology. However, it should be interpreted as a screening and comparison tool rather than a complete assessment of the pedestrian environment. For the most comprehensive understanding of neighborhood walkability, the EPA recommends considering the National Walkability Index alongside its component indicators—intersection density, employment mix, employment-household mix, and transit proximity—as well as local knowledge of pedestrian infrastructure and community conditions.

References

  • Beacon Hill, Boston. (2026). In Wikipedia. https://en.wikipedia.org/w/index.php?title=Beacon_Hill,_Boston&oldid=1363755946
  • Beacon Hill (U.S. National Park Service). (n.d.). Retrieved August 3, 2026, from https://www.nps.gov/places/beacon-hill.htm
  • Cervero, R., & Kockelman, K. (1997). Travel demand and the 3Ds: Density, diversity, and design. Transportation Research Part D: Transport and Environment, 2(3), 199–219. https://doi.org/10.1016/S1361-9209(97)00009-6
  • Ewing, R., & Cervero, R. (2010). Travel and the Built Environment: A Meta-Analysis. Journal of the American Planning Association, 76(3), 265–294. https://doi.org/10.1080/01944361003766766
  • Frank, L. D., Schmid, T. L., Sallis, J. F., Chapman, J., & Saelens, B. E. (2005). Linking objectively measured physical activity with objectively measured urban form. American Journal of Preventive Medicine, 28(2), 117–125. https://doi.org/10.1016/j.amepre.2004.11.001
  • Lynch, K. (1960). The Image of the City. MIT Press.
  • S. Environmental Protection Agency. (2021a). National Walkability Index: Methodology and User Guide. U.S. Environmental Protection Agency (EPA). https://www.epa.gov/smartgrowth/smart-location-mapping#walkability
  • U.S. Environmental Protection Agency. (2021b). Smart Location Database (SLD) 3.0: Technical Documentation and User Guide. U.S. Environmental Protection Agency. https://www.epa.gov/smartgrowth/smart-location-mapping#SLD