Population Density Compare
See how crowded or sparse selected cities are relative to each other using dataset density figures.
By Aryan Khan, Founder & Editor · Updated October 2026
For example, Manhattan packs about 74,244 people per square mile (2020 Census) while Wyoming averages 5.94 — a ratio near 12,500 to 1 between America's densest county and its emptiest state.
How to use Population Density Compare
Density is population with the area kept honest. Compare it properly:
Population Density Compare sets places' population densities side by side — people per square mile or kilometre — computed from the same census and the same land-area rule for both. Name the pair and read the comparison: density is where 'crowded' stops being an adjective and becomes a number.
- 1Select cities.
- 2Compare density metrics.
What people use Population Density Compare for
1. Relocation expectations
Density predicts the texture of daily life — queues, parking, quiet — better than raw population. Compare the finalists of the City Comparison Tool on this axis before visiting.
2. Journalism and teaching
“Densest place in America” is a density claim with a denominator problem. This comparison keeps land area consistent so the claim survives the comments section.
3. Market and service planning
Delivery economics, clinic catchments and retail formats all bend on density. Two candidate territories compare here before a model is built.
4. Debunking map impressions
A state that looks empty can hold a denser city than a 'crowded' rival's — Wyoming's 5.94 per square mile against any city's thousands is the calibration example.
Worked examples
New York County (Manhattan): 1,694,251 people on 22.82 sq mi of land = 74,244 per sq mi (28,666 per km²). Wyoming: 576,851 on 97,093 sq mi = 5.94. Both 2020 Census — the 12,500× gap is real, and it is mostly a story about denominators.
New York City as a whole runs 29,302 per sq mi — Manhattan alone runs 74,244. City-versus-borough comparisons change the answer by 2.5× without any number being wrong: boundaries are the argument, density is the arithmetic.
Density anchors (2020 Census)
Reference points for the scale, all computed as population ÷ land area.
| Place | People per sq mi | People per km² |
|---|---|---|
| New York County (Manhattan) | 74,244 | 28,666 |
| New York City (all boroughs) | 29,302 | 11,314 |
| Los Angeles (city) | 8,304 | 3,206 |
| United States (average) | ~94 | ~36 |
| Wyoming | 5.94 | 2.29 |
US average computed from the 2020 apportionment population over Census land area — state and national figures use total land including vast unpopulated areas, which is precisely the denominator effect the examples describe.
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 Population Density Compare:
- 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
The workspace divides bundled metro population by approximate built-up area. Definitions differ from official administrative city density.
For source details, licences and model limitations, see Data Sources and Methodology.
Key terms worth knowing
- Cost index
- Rent-inclusive price level relative to a baseline city (here, NYC = 100).
- Density
- People per unit area; the ratio-stable texture of a city.
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
- The workspace divides bundled metro population by approximate built-up area. Definitions differ from official administrative city density.
- 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: Major cities. 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.
Same year census?
Figures follow the curated dataset; always check year notes for research use.
Is this an official census result?
Only when a page explicitly uses and labels an official census dataset. Many tools are estimates or curated dataset summaries and explain that limitation on the page.
Why might population figures differ from another website?
Population values can use different census years, boundaries, estimates and definitions of city or metro area.
Can I use the result for market planning?
Yes as an exploratory reference, but validate commercial decisions with current official or specialist demographic data.
Which census year is used?
Both sides of a comparison share the stated census (2020 for the US anchors on this page) — mixing vintages manufactures gaps that are really just growth, and the tool refuses the trick.
Land area or total area?
Land only — harbours and lakes are not lived on. Total-area densities flatter waterfront cities; the land rule is the honest denominator and it is applied to both sides.
City, county or state — which unit?
Density belongs to whatever boundary you choose, and the answer changes with it (see the Manhattan example). Comparisons must match unit kinds — city with city, county with county — and the table labels each side's unit.
Why is the US average so low?
Most American land is not urban. The average is a real number that describes almost nowhere — density is a local fact, and national means are context, not comparison material.
People per square kilometre?
Both units are reported; the conversion is exact (1 sq mi = 2.59 km²), and European readers get their native scale without re-deriving it.
Daytime versus resident density?
Censuses count residents where they sleep. Manhattan's daytime density swells far beyond 74,244 with commuters — a different, legitimate statistic that must be named when used.
Can density be 'too high' objectively?
No threshold exists in the number itself — outcomes depend on housing, transit and services built for the density. The comparison informs; it does not grade.
Smallest places?
Tiny denominators make wild densities (a village of 200 on 0.01 sq mi 'beats' Manhattan). Comparisons below a few thousand residents are arithmetic novelties, flagged as such.
Related tools and resources
The pair in full: the City Comparison Tool; people in a circle: the Population Within Radius; county data: the U.S. County Demographic Explorer.
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 boundaries & lookups hub
Population Density Compare sits in the boundaries & lookups cluster, alongside 39 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
US States by Population (2024 Census Estimates) — All 50 states ranked by 2024 population — California 39.4M at #1. Full table with ranks.