U.S. Neighborhoods Database

We're proud to offer a simple, accurate, and up-to-date database of United States neighborhoods. We've built it from the ground up using authoritative sources such as local GIS departments, the U.S. Geological Survey, the U.S. Census Bureau, and original web research.

  • Up-to-date: Data updated as of July 7, 2026.
  • Comprehensive: Over 31,000 neighborhoods in the U.S.
  • Useful fields: From latitude and longitude to timezone.
  • Accurate: Aggregated and cleaned from official sources.
  • Simple: A single CSV file, concise field names, only one entry per neighborhood.
  • 🎉 Latest update includes demographic data — population, age, income, race, and more! 🎉

Databases

BasicProComprehensive
Commercial useAllowedAllowedAllowed
File formatCSV, ExcelCSV, Excel, SQLCSV, Excel, SQL, Shapefile/JSON*
Neighborhoods in 25 largest citiesYesYesYes
Neighborhoods in 738 cities**NoYesYes
Number of entries3,59231,89631,896
Fields (listed below)Basic fieldsAll fieldsAll fields
Demographic Fields (age, income, race, etc.)Population onlyYesYes
GIS Shapes* (.shp, .json)NoNoYes, for over 29 thousand neighborhoods in 293 cities
Future updatesNot guaranteedIncluded for 12 monthsIncluded for 24 months
AttributionRequiredNot requiredNot required
LicenseCreative Commons Attribution 4.0Permissive, no redistributionPermissive, no redistribution
Refund policyN/A30-day guaranteeNo refunds
One-time feeFree$499$2,999
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*GIS shapes are provided in a single Shapefile/GeoJSON file that includes the neighborhood's id, name, and shape.

**Some cities are only partially covered.


Visualization

Here is a visualization of the data in the continental United States in our paid databases:

Example of neighborhood shapes (Comprehensive version only) in NYC visualized over an OSM map.

Sample Preview

Here is a sample of rows from the database with some commonly used fields:


All Fields

fieldname description Basic Pro Comp.
neighborhood The name of the neighborhood.
neighborhood_ascii neighborhood as an ASCII string.
city_name The name of the neighborhood's city/town.
city_id The id of city_name. Consistent with our US Cities Database.
lat The latitude of the neighborhood.
lng The longitude of the neighborhood.
state_id The state or territory's USPS postal abbreviation.
state_name The name of the state or territory that contains the neighborhood.
county_fips The 5-digit FIPS code for the primary county. The first two digits correspond to the state's FIPS code.
county_name The name of the primary county (or equivalent) that contains the neighborhood.
county_fips_all The 5-digit FIPS code for all counties that overlap the neighborhood (e.g. 04013|04021)
county_name_all The name of all counties that overlap the neighborhood. (e.g. Maricopa|Pinal)
timezone The city's time zone in the tz database format. (e.g. America/Los_Angeles)
zips A string containing all five-digit zip codes in the neighborhood, delimited by a space. Learn more.
id A unique id for the neighborhood generated by SimpleMaps. It is consistent across releases.
source For some cities, our data is generated from a polygon representing the city, for others we simply have a point.
cbsa_fips The FIPS code for the Core Based Statistical Area (CBSA) that includes the city (if one exists).
cbsa_name The name of the CBSA (e.g. New York-Newark-Jersey City).
cbsa_metro TRUE if cbsa_name is a metropolitan statistical area (MSA). FALSE if the CBSA is a micropolitan statistical area (μSAs).
csa_fips The FIPS code for the Combined Statistical Area (CSA) that includes the city (if one exists).
csa_name The name of the CSA (e.g. New York-Newark).
population An estimate of the neighborhood's total population.
density The estimated population per square kilometer.
age_median The median age of residents in the neighborhood.
age_under_10 The percentage of residents aged 0-9.
age_10_to_19 The percentage of residents aged 10-19.
age_20s The percentage of residents aged 20-29.
age_30s The percentage of residents aged 30-39.
age_40s The percentage of residents aged 40-49.
age_50s The percentage of residents aged 50-59.
age_60s The percentage of residents aged 60-69.
age_70s The percentage of residents aged 70-79.
age_over_80 The percentage of residents aged over 80.
male The percentage of residents who report being male (e.g. 55.1).
female The percentage of residents who report being female (e.g. 44.9).
married The percentage of residents who report being married.
divorced The percentage of residents divorced.
never_married The percentage of residents never married.
widowed The percentage of residents who are widowed.
family_size The average size of resident families (e.g. 3.22).
family_dual_income The percentage of families with dual income earners.
income_household_median Median household income in USD.
income_household_six_figure Percentage of households that earn at least $100,000 (e.g. 25.3).
income_household_under_5 The percentage of households with income under $5,000.
income_household_5_to_10 The percentage of households with income from $5,000-$10,000.
income_household_10_to_15 The percentage of households with income from $10,000-$15,000.
income_household_15_to_20 The percentage of households with income from $15,000-$20,000.
income_household_20_to_25 The percentage of households with income from $20,000-$25,000.
income_household_25_to_35 The percentage of households with income from $25,000-$35,000.
income_household_35_to_50 The percentage of households with income from $35,000-$50,000.
income_household_50_to_75 The percentage of households with income from $50,000-$75,000.
income_household_75_to_100 The percentage of households with income from $75,000-$100,000.
income_household_100_to_150 The percentage of households with income from $100,000-$150,000.
income_household_150_over The percentage of households with income over $150,000.
income_individual_median The median income of individuals in the neighborhood.
home_ownership Percentage of households that own (rather than rent) their residence.
home_value The median value of owner-occupied homes. (Specifically: the weighted average of the value of owner-occupied housing units with and without a mortgage).
rent_median The median rent paid by renters.
rent_burden The median rent as a percentage of the median renter's household income.
education_college_or_above The percentage of residents with at least a 4-year degree.
education_less_highschool The percentage of residents with less than a high school education.
education_highschool The percentage of residents with a high school diploma but no more.
education_some_college The percentage of residents with some college but no more.
education_bachelors The percentage of residents with a bachelor's degree (or equivalent) but no more.
education_graduate The percentage of residents with a graduate degree.
education_stem_degree The percentage of residents with a Bachelor's degree or higher in a Science and Engineering (or related) field.
labor_force_participation The percentage of residents 16 and older in the labor force.
unemployment_rate The percentage of residents unemployed.
race_white The percentage of residents who report their race as White.
race_black The percentage of residents who report their race as Black or African American.
race_asian The percentage of residents who report their race as Asian.
race_native The percentage of residents who report their race as American Indian and Alaska Native.
race_pacific The percentage of residents who report their race as Native Hawaiian and Other Pacific Islander.
race_other The percentage of residents who report their race as Some other race.
race_multiple The percentage of residents who report their race as Two or more races.
hispanic The percentage of residents who report being Hispanic. Note: Hispanic is considered to be an ethnicity and not a race.
disabled The percentage of residents who report a disability.
poverty The percentage of residents who over the past 12 months have lived below 100% of the federal poverty level.
limited_english The percentage of residents who only speak limited English.
commute_time The median commute time of resident workers in minutes.
health_uninsured The percentage of residents who report not having health insurance.
veteran The percentage of residents who are veterans.

Frequently Asked Questions

What do you consider to be a neighborhood?

A neighborhood is any named community within a city/town. Neighborhoods can overlap other neighborhoods. They can be a point or an area. They are subjective by nature, so people may disagree on neighborhood boundaries.

Do you consider subdivisions to be neighborhoods?

Sometimes. In older cities, neighborhoods tend to be well-defined, and we do not include subdivisions. In newer cities with less well-defined neighborhoods, we may include subdivisions as they act like neighborhoods.

Am I allowed to redistribute the database if I purchase a paid license?

No. You are not allowed to sell the database or make it publicly available. However, you can make copies and backups of the data. You are also allowed to query the database to power publicly facing applications, such as a store locator. To learn more, read the full license terms.

How often do you release updates?

Typically a few times a year. Upon purchase, you can elect to receive email alerts when we release new versions of the database.

Where does the demographic data come from?

Neighborhoods do not exist in any official capacity, so the U.S. Census does not collect demographic data on them directly. Instead, we impute each demographic value from our Census Tracts Database using a population-weighted area overlap: for every census tract that intersects a neighborhood, we take the share of the tract's population that falls within the overlapping area and weight that tract's values accordingly, then combine the weighted values from all overlapping tracts into a single estimate for the neighborhood. This lets us translate official, tract-level Census data onto neighborhood boundaries that the Census itself doesn't recognize. The underlying tract data comes from the 2024 American Community Survey (5-year estimate), run by the United States Census Bureau. You can browse the results for free, by city, on our neighborhood maps (e.g. median household income by neighborhood in Cincinnati).

Why is this product more expensive than your other databases?

Neighborhood boundaries are not well-tracked by the federal government. So, this database has required countless hours of manual labor collecting data from local agencies, original research, and data cleaning.

Why should I trust this data?

This database was aggregated from authoritative sources and carefully processed by SimpleMaps. We've been developing and selling interactive maps to Fortune 500 companies and prominent international organizations for over 16 years. Over this time, we've learned a lot about geographic data. To get a sense of the expertise and support we offer, check out some of the testimonials from our happy customers.

If I use the free database, what type of attribution is required?

If you use the Basic (free) database, you must link back to this page:
https://simplemaps.com/data/us-neighborhoods
from a public webpage where you are using the data. If you want to use the data internally, you must link back to this page from your firm's website on a page that can be easily found through links on the root domain. The link must be clearly visible to the human eye.

How do I calculate the distance between two neighborhoods?

We've published free formulas in popular programming languages. Check them out.

How do you determine which zip codes are in a neighborhood?

Our zip code data comes from our Zip Code Database. Most zip codes are Zip Code Tabulation Areas and are represented as a geographic area. We consider a ZCTA to be part of a neighborhood if the area intersecting both the ZCTA and neighborhood is at least 10 percent of the area of either the neighborhood or the ZCTA. This means that a ZCTA can be in more than one neighborhood. If this method does not result in a zip code, we will use the closest zip in the immediate area.

I only need neighborhood shapes for a single city, can I just buy those?

Yes, we sell single city data as a map product.

Do you have any sample data so that I can see what's included?

Yes, our neighborhood maps are generated using our neighborhood data and will give you a good sense of what's included for a given city.

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