ZIP Codes Within Radius
Choose a centre and radius. For U.S. locations, MapBench uses Census ZIP Code Tabulation Areas with 2020 population and housing context and clearly distinguishes ZCTAs from USPS delivery ZIP boundaries. Outside the U.S., it falls back to OpenStreetMap postcode search and labels that coverage separately.
By Aryan Khan, Founder & Editor · Updated October 2026
For example, a 1,000-mile circle around Manhattan's 10001 gathers Boston's 02108 (187.9 mi), Washington's 20001 (204.5), Chicago's 60601 (710.4) and Atlanta's 30303 (747.8) — while Miami's 33101, at 1,094 miles, stays outside.
How to use ZIP Codes Within Radius
The circle, converted into a mailing-grade list:
ZIP Codes Within Radius lists every ZIP code whose centroid falls inside a circle around a centre ZIP or point, each with its distance. Set centre and radius and read the list — the working set for direct mail and territory design, every candidate measured.
- 1Set the centre point.
- 2Choose miles or kilometres and enter a radius.
- 3Run the search and check whether Census ZCTA or worldwide postcode mode is active.
- 4Review the list/map and download CSV if needed.
What people use ZIP Codes Within Radius for
1. Direct mail and flyer drops
A radius campaign needs the codes, not a picture of a circle. This list is the drop, ready to hand to the mail house.
2. Territory building
A new territory starts as 'everything within 25 miles of the depot' — the list is that sentence made enumerable, comparable against the Cities Within Radius view of the same ground.
3. Delivery-zone pricing
Zones priced by distance bands need the codes per band: run the radius in rings and the pricing table builds itself.
4. Competitor and coverage audits
Which codes does a rival's 'local' claim actually cover? The circle's list is the checkable version of the claim.
Worked examples
The summary's four insiders are sorted by distance from 10001's centroid — Chicago (710.4 mi) before Atlanta (747.8) surprises people who think in state shapes instead of straight lines. The list's order is the geometry's, not the atlas's.
A ZIP whose area touches your circle but whose centroid sits outside does not appear — membership is centroid-based, stated plainly. For boundary-sensitive work, widen the radius by the typical ZIP size and trim by hand.
How membership is decided
The convention, stated once and applied to every code.
| Element | Rule |
|---|---|
| Centre | Your ZIP's centroid or your point |
| Candidate | Every ZIP centroid in the data |
| Test | Great-circle distance ≤ your radius |
| Reported | Code, place name and distance, sorted nearest first |
ZIP 'areas' on maps are Census ZCTAs; centroids are the practical stand-ins every ZIP tool uses. Distances here are centroid-to-centroid — the method's name travels with the list.
U.S. ZIP-radius searches use Census ZCTAs and clearly separate statistical geography from mail delivery
In the United States, MapBench first searches Census ZIP Code Tabulation Areas rather than scraping a limited set of nearby address labels. Returned ZCTAs include their Census reference point, straight-line distance from the chosen centre, 2020 population and housing-unit counts, and CSV export. This gives the result a consistent statistical geography that is much more useful for demographic screening, territory comparison and local-market research than an arbitrary list capped by a geocoder response limit.
A ZCTA is not an official USPS ZIP Code boundary. USPS ZIP Codes are mail-routing constructs and can include PO boxes, unique organizations and delivery patterns that do not behave like one nationwide polygon layer. Census ZCTAs are statistical approximations designed so population and housing data can be summarized geographically. MapBench keeps this distinction visible instead of presenting a ZCTA map as an authoritative USPS delivery map.
The circle test uses the ZCTA reference point rather than clipping every polygon to the exact radius. That makes the result fast and reproducible, but a returned ZCTA may extend beyond the circle and a nearby area can be omitted if its reference point lies just outside. Outside the United States, the tool falls back to OpenStreetMap postcode coverage and labels that mode separately.
How to interpret the result
The most common errors come from using a correct result to answer the wrong geographic question. Keep these points in mind for ZIP Codes Within Radius:
- State the vintage and definition with every population number you reuse: metro vs municipal vs urban-area figures for the same city differ by multiples, and unstated definitions are how bad comparisons spread.
- Use radius sums as lower bounds in rural regions: curated major-city datasets capture the big dots, not the in-between settlement. For funding or legal work, move to census geometry; for screening and comparison, the transparent estimate wins on speed.
Limits & appropriate use
Population tools live closest to the honesty line, because numbers about people carry rhetorical weight. The curated snapshot used here is labelled with its vintage and definitions, publishes its ingredients for every sum, and positions itself as a lower-bound screen outside dense cores — but it remains an estimate, and metro-vs-municipal-vs-urban definitions can multiply the 'same' city's figure. Cost and density indices add compression error: one rent-inclusive number cannot hold housing policy, healthcare and taxes without losing texture. Ratios survive that compression far better than absolutes, which is why the comparisons lead with them.
The escalation ladder is the product's pride rather than its shame: census bureaus own authoritative counts and blocks; statistical offices own price indices; research firms own rent-normalised granularity. A transparent estimate that screens in seconds and prints its recipe is the right first move for curiosity, comparison and shortlisting — and it says, plainly, where the money-grade answers live when the decision gets serious.
- Funding/legal counts → census bureau tables and geographies.
- Relocation packages → licensed cost-of-living research.
- Site selection → census blocks plus mobility data.
Data & methodology
U.S. mode uses Census ZCTA reference points and 2020 population/housing attributes; inclusion is centroid/reference-point based rather than polygon clipping. Worldwide fallback mode uses OpenStreetMap postcode-tagged search results filtered by great-circle distance.
For source details, licences and model limitations, see Data Sources and Methodology.
Key terms worth knowing
- Density
- People per unit area; the ratio-stable texture of a city.
- Vintage
- The year a dataset snapshot describes; always cite it.
Editorial guidance: MapBench explains the method and limitations so the tool can be used as a transparent reference, not as a black-box answer. For legal boundaries, safety-critical routing, surveying, engineering, regulated decisions or official statistics, verify the result with the responsible authority or a qualified professional.
Category: Places & Population. Results are intended for everyday analysis and planning unless a page explicitly states otherwise.
Method, assumptions & limits
- This tool’s method
- U.S. mode uses Census ZCTA reference points and 2020 population/housing attributes; inclusion is centroid/reference-point based rather than polygon clipping. Worldwide fallback mode uses OpenStreetMap postcode-tagged search results filtered by great-circle distance.
- Before relying on the answer
- Check whether the result counts dataset points, administrative areas or an estimated population footprint. Record the source vintage when provided.
- What the result cannot establish
- Settlement points and area totals do not represent a complete count of residents inside an arbitrary shape. Survey estimates also carry uncertainty.
Coverage: Worldwide. Search, basemap and external data requests may use third-party services; browser-based does not mean every operation is offline. Read the source and licence notes, calculation methodology and privacy policy. If a result looks inconsistent, report a correction with the inputs and mode used.
Frequently asked questions
Clear answers about the calculation, accuracy and appropriate use.
Is a ZCTA the same as a USPS ZIP Code boundary?
No. ZCTAs are Census statistical areas designed to approximate ZIP geography; USPS ZIP Codes are mail-delivery constructs.
How are U.S. areas included in the radius?
MapBench tests the Census ZCTA reference point/centroid against the radius, so a returned ZCTA can extend beyond the circle.
What data is shown for U.S. ZCTAs?
The tool can show 2020 population and housing-unit context with distance and bearing from the selected centre.
What happens outside the United States?
MapBench falls back to OpenStreetMap postcode-tagged search results and labels the worldwide fallback mode.
Can I export the result?
Yes. Download CSV with the returned ZIP/ZCTA or postcode rows and their geographic context.
Can I centre on an address instead of a ZIP?
Yes — an address or point works as the centre; the ZIP list around it is identical in method. ZIP-to-ZIP is simply the common case.
Kilometres or miles?
Both, per this site's convention — radii and distances report in the unit you choose.
How many ZIPs can a list hold?
A 100-mile circle around a metro centre can hold well over a thousand codes. The list handles it; your mail house's pricing will have opinions too.
PO Box-only and unique ZIPs?
Codes with centroids in the data participate; a handful of special-purpose codes lack meaningful centroids and are excluded by the method, not by editorial choice.
Can I exclude some returned ZIPs?
The list is yours once produced — trim it in your spreadsheet. Deliberate exclusions beat radius-fiddling, because the record of why stays with you.
Is this the same as ZIPs the circle covers?
No — centroid membership versus area coverage differ at the edges, as the examples state. Boundary-exact coverage belongs to GIS work with ZCTA polygons.
Radius from a competitor's location?
A fair audit technique: your circle, their centre. The geometry does not care whose point it is, and neither does the list.
Why is a visibly-inside ZIP missing?
Its centroid fell outside — check the map view: the code's area reaches in while its centre stays out. The stated convention predicts exactly these cases.
Related tools and resources
The list's owners: ZIP Codes by State, County & City; plotted: the ZIP Code Map; people inside: the Population Within Radius.
More free tools
Sources, methodology & editorial trust
- ✓ Browser-first processing where supported
- ✓ External sources are documented
- ✓ No account required for public tools
- ✓ Review data sources
Calculations are documented with their assumptions, limitations and source context rather than presented as unexplained answers.
Reviewed and maintained by Aryan Khan, Founder & Editor of MapBench.
Part of our radius & service area hub
ZIP Codes Within Radius sits in the radius & service area cluster, alongside 18 other tools that answer neighbouring questions with different methods or datasets.
You may also need
When this answer is only part of the job, these clusters cover the next step.
Read the guide behind this tool
How to Draw a Radius on Google Maps — Google Maps has no radius button. Here are the exact workarounds to draw a radius circle — plus free tools that do it in one click.