Population Density Calculator by Area | Density Calculator

Population Density Calculator

Calculate people per area, compare the result to real cities, and place it on a clear density scale instantly.

Population

Area

Area unit

Population density depends entirely on the boundary you choose. Compare city proper to city proper, and metro area to metro area.

Density outputs

5,208 people/km²

People/mi²

13,490

People/hectare

52.08

Primary unit: people per square kilometer, the standard format used in most international comparisons.

Nearest benchmark

Stockholm

4,975 people/km² in Sweden

Your result is 105% of Stockholm's density.

Density scale

Rural Suburban Urban Dense Hyper-dense

Current band: Dense.

How It Works

How Population Density Works

Population density turns a raw headcount into a spatial measure that makes comparison meaningful. Knowing Tokyo has millions of residents tells you scale. Knowing it has about 6,400 people per square kilometer tells you how concentrated those residents are relative to land area. If you want the broader physical idea behind density before the geographic version, start with what is density.

The Formula

The formula is simple: population density = population / area.

The arithmetic is easy. The interpretation depends on the unit and the boundary. That is why this page shows three output units at once and emphasizes fair comparison between matching boundary types.

People/km²

International standard

Used by the UN, World Bank, and most national statistical agencies. One square kilometer equals 100 hectares.

People/mi²

U.S. media format

Common in the United States and often used in local reporting. One square mile equals 2.59 square kilometers.

People/hectare

Planning shorthand

Common in urban planning and agriculture. One hectare is 10,000 m² and 100 hectares equal 1 km². For related unit ideas, open density units.

The Area Definition Problem

The biggest source of confusion in population density is inconsistent area definition. The same place can produce radically different values depending on whether you use city proper, county, or metro area boundaries.

Los Angeles is the classic example. City proper is much denser than Los Angeles County, and the full metro area is lower again because it includes a much larger footprint. All of those figures are technically "Los Angeles," but they answer different questions.

Boundary	Density
Los Angeles city proper	3,100 people/km²
Los Angeles County	830 people/km²
Greater LA metro	130 people/km²

Rule of thumb: compare city proper to city proper, and metro area to metro area. Do not compare a core municipality to another city's commuter region. The same caution applies when switching from human density to physical density workflows such as the material density calculator.

Worked Examples

Example 1: Tokyo

Population 13,960,000 divided by 2,194 km² gives about 6,362 people/km², which rounds to the commonly cited 6,400 people/km².

Example 2: Manhattan

Population 1,629,000 divided by 59.1 km² gives about 27,564 people/km². That is why Manhattan behaves more like a hyper-dense core than a typical North American city.

Example 3: Australia

Population 26,500,000 divided by 7,692,024 km² gives about 3.4 people/km², one of the lowest national densities in the world despite a large absolute land area.

Benchmarks

Population Density Benchmarks - Cities and Countries

Population Density Classification

Category	Density range	Typical examples
Uninhabited	< 1 /km²	Sahara interior, Antarctic interior
Very sparse	1-10 /km²	Mongolia (2), Australia (3)
Sparse	10-50 /km²	USA (36), Brazil (25)
Rural	50-150 /km²	China (147), France rural regions
Suburban	150-1,000 /km²	Outer suburbs, Netherlands (508)
Urban	1,000-5,000 /km²	Berlin (4,100), Chicago (4,447)
Dense urban	5,000-15,000 /km²	Tokyo (6,400), NYC (10,900)
Very dense	15,000-30,000 /km²	Paris (20,500), Seoul (15,700)
Hyper-dense	> 30,000 /km²	Manila (46,178), Dhaka (44,500)

World Cities US Cities Countries Neighborhoods

World Cities

City	Country	Density/km²	Category
Dhaka	Bangladesh	44,500	Hyper-dense
Manila	Philippines	46,178	Hyper-dense
Mumbai	India	32,303	Hyper-dense
Kolkata	India	24,252	Very dense
Karachi	Pakistan	24,000	Very dense
Lagos	Nigeria	20,000	Very dense
Paris	France	20,500	Very dense
Seoul	South Korea	15,700	Very dense
Cairo	Egypt	19,376	Very dense
Barcelona	Spain	15,991	Very dense
Athens	Greece	17,037	Very dense
New York City	USA	10,900	Dense urban
Singapore	Singapore	8,600	Dense urban
Hong Kong	China	6,659	Dense urban
Tokyo	Japan	6,400	Dense urban
London	UK	5,701	Dense urban
Chicago	USA	4,447	Urban
Berlin	Germany	4,100	Urban
Sydney	Australia	2,037	Urban
Los Angeles	USA	3,100	Urban
Toronto	Canada	4,334	Urban
Amsterdam	Netherlands	3,158	Urban
Vienna	Austria	4,326	Urban
Stockholm	Sweden	4,975	Urban
Dubai	UAE	408	Suburban
Houston	USA	1,390	Urban
Phoenix	USA	1,200	Urban

US Cities

City	State	Density/km²	Category
New York City	New York	10,900	Dense urban
San Francisco	California	7,200	Dense urban
Boston	Massachusetts	5,400	Dense urban
Chicago	Illinois	4,447	Urban
Philadelphia	Pennsylvania	4,700	Urban
Miami	Florida	5,200	Dense urban
Los Angeles	California	3,100	Urban
Seattle	Washington	3,400	Urban
Houston	Texas	1,390	Urban
Phoenix	Arizona	1,200	Urban
Dallas	Texas	1,500	Urban
San Diego	California	1,700	Urban
San Jose	California	2,200	Urban

Countries

Country	Population	Density/km²	Category
Bangladesh	170,000,000	1,265	Urban
South Korea	51,700,000	516	Suburban
Netherlands	17,900,000	508	Suburban
India	1,428,000,000	464	Suburban
Japan	125,700,000	334	Suburban
United Kingdom	67,700,000	279	Suburban
Germany	84,400,000	237	Suburban
China	1,410,000,000	147	Rural
France	68,400,000	119	Rural
United States	335,000,000	36	Sparse
Brazil	215,000,000	25	Sparse
Russia	144,000,000	9	Very sparse
Canada	38,200,000	4	Very sparse
Australia	26,500,000	3	Very sparse
Mongolia	3,400,000	2	Very sparse
Iceland	370,000	3.6	Very sparse

Neighborhoods

Neighborhood/Borough	City	Density/km²	Notes
Manhattan	New York	27,564	Most dense US borough
Kowloon	Hong Kong	43,033	Former world record district
Ile de la Cite	Paris	10,000	Historic city center
Shimokitazawa	Tokyo	22,000	Dense residential district
Kreuzberg	Berlin	15,000	Dense urban district
Dharavi	Mumbai	277,000	Informal settlement example

Understanding

Understanding Population Density

Why Population Density Matters

Population density is one of the most widely used measures in geography, planning, public health, and economics because it connects human scale to physical space. Total population alone tells you very little about how infrastructure, transport, or services will function on the ground.

Infrastructure cost depends on how many people share each kilometer of network.
Public transit viability depends on enough riders living in a corridor.
Public health risk changes when people live close together.
Environmental impact shifts with driving distance and land consumption.
Economic productivity often rises with proximity and interaction density.

High Population Density - Benefits and Challenges

High density, especially above about 5,000 people/km², makes frequent transit, walkable retail, and shared infrastructure more viable. More people within a short distance can support better bus service, rail, district energy, neighborhood commerce, and cultural amenities.

But the same concentration can also intensify affordability pressure, noise, heat island effect, and green-space scarcity if policy does not keep up. The debate is not whether density matters, but what range delivers a good balance of access, livability, and cost.

Many planners see roughly 5,000 to 15,000 people/km² as a range where strong transit and urban life become practical without automatically pushing every district into Manhattan-like extremes.

Low Population Density - Implications

Very low density creates a different set of problems. Service delivery becomes expensive because schools, hospitals, roads, and utilities must cover long distances for relatively few people. Thin markets also make many businesses and cultural services harder to sustain.

This is why countries such as Australia, Canada, and Mongolia can have major urban centers but still present sparse national averages. The density challenge is not crowding. It is distance, remoteness, and the cost of serving scattered settlement patterns.

Population Density vs. Population Size

A common mistake is assuming that a large population means high density. In reality, total population and density are largely independent.

Pattern	Examples
Large population + low density	Russia, Canada, Australia
Small population + high density	Singapore, Bangladesh, Netherlands
Large population + high density	India, South Korea

That is why density is often more informative than population size when the real question is crowding, travel distance, or land-use intensity.

How Population Density Is Measured in Practice

Population density figures vary by source because agencies use different population vintages, area definitions, and treatment of water bodies. Census-based values, estimate-based values, land-area-only methods, and functional urban area methods can all produce different results for the same place.

That is why consistency matters more than obsessing over tiny differences between sources. Use the same kind of boundary on both sides of a comparison. This calculator accepts whatever area you enter, which makes it flexible but also puts the burden of fair comparison on the user.

Use Cases

Who Uses This Calculator

Urban Planning

Urban planners and developers use density to benchmark proposed districts against known transit and service thresholds. A district with too little density may not support bus frequency. A district with very high planned density may need rail, sewer upgrades, and school capacity from day one.

Example: 18,400 people planned on 0.45 km² gives about 40,889 people/km², or 409 people/hectare. That is far above most light-rail viability thresholds and demands heavy infrastructure planning. Density is often the first quick signal that a development concept and its transport assumptions are out of sync.

Education

Population density is often a student's first encounter with density outside material science, which makes it a useful bridge topic between geography and math. It shows that density is a ratio concept, not only a physical property of steel, water, or air.

A teacher can ask students to calculate their own city, compare Bangladesh and Canada, or test how changing the area definition changes the answer. This connects directly back to the density formula idea and pairs well with the pixel density calculator, which shows the same ratio concept in display technology.

Benchmarking

Benchmarking turns a raw result into an intuitive statement. Saying a district is "close to Tokyo" or "twice Berlin" is far more useful in journalism, real estate, and policy discussion than quoting a bare density number with no anchor.

This is especially helpful when evaluating proposed redevelopment, comparing global peers, or communicating with readers who do not think in people per square kilometer every day. The nearest-benchmark feature exists precisely to make those comparisons immediate rather than forcing you to hunt through tables manually.

What is population density?

Population density is the number of people living within a given unit of area, typically expressed as people per square kilometer, people per square mile, or people per hectare. The calculation is simple: population density = population / area.

What makes the metric useful is not the arithmetic but the context it creates. Raw population alone tells you scale. Density tells you how concentrated that population is in space. India and Russia both have very large populations, but India is crowded in a way Russia is not because India has far more people per square kilometer.

This is why density is used in geography, urban planning, transportation, public health, and environmental analysis. Transit viability, service coverage, housing form, school access, emergency response times, and even disease transmission all depend more directly on how people are distributed across land than on population totals by themselves.

The calculator on this page works for any boundary you choose: a neighborhood, a city, a county, a metro area, a country, or a custom planning district. That flexibility is powerful, but it also means interpretation depends on consistent area definitions.

In practice, that makes density one of the most transferable public-data metrics available. The same ratio can explain why one city supports a metro, why another depends on cars, why a country can have a huge population but still feel empty, and why a small district can feel intensely crowded even when its total population is modest. That combination of simplicity and interpretive power is why density appears in nearly every introductory geography course and every serious planning document.

Why use population density instead of total population?

Total population tells you how many people live somewhere. Density tells you how crowded it is. Those are different questions, and density is often the more useful of the two when you care about land use, travel patterns, infrastructure cost, or local living conditions.

Compare Russia and Bangladesh. Both have very large populations, but Bangladesh has far less land area, so its density is vastly higher. The same distinction appears inside cities too. Los Angeles County has far more people than Manhattan, but Manhattan is much denser and feels radically different in housing form, transit, and walkability.

Density is especially useful for infrastructure planning because transit, sewer systems, utility networks, and schools depend on people per area, not just people in total. It also matters in public health, since crowding influences transmission risk and service access. In environmental analysis, dense urban living often reduces per-capita land consumption and transport emissions compared with low-density sprawl.

If you want another example of a density measure outside geography, the gas density calculator shows how the same ratio idea applies in physics rather than urban analysis.

This difference matters whenever decisions depend on concentration rather than absolute scale. A city of 500,000 people can be more supportive of walkability, transit, and street retail than a metro of 5 million if the smaller place concentrates people much more tightly. Density is therefore often the better first metric when the real question is crowding, access, land use intensity, or service efficiency rather than population size alone.

How do you calculate population density?

Population density is calculated by dividing total population by total area: density = population / area. If the area is in square kilometers, the result is people/km². If the area is in square miles, the result is people/mi². If the area is in hectares, the result is people per hectare.

The core workflow is straightforward:

Find the population from census data, official statistics, or estimates.
Find the land area for the same boundary.
Divide population by area.
State the unit clearly when reporting the result.

Example: if a district has 1,250,000 people and covers 240 km², density is 1,250,000 / 240 = 5,208 people/km². The same result can be converted to 13,489 people/mi² and 52.08 people/hectare. This page shows all three units at once so you can compare international, U.S., and planning-oriented formats without manual conversion.

The most common mistakes are inconsistent area definitions, mixing km² with mi², and comparing one city's urban core to another city's metro region. If you want the broader ratio idea before using the geographic version, revisit the density formula guide.

Another practical rule is to prefer land area over total area when comparing official sources, especially for places with large inland water bodies, coastlines, or harbor zones. The calculation itself remains simple, but the denominator you choose can move the answer enough to change how a place ranks against its peers. That is why good density analysis is less about difficult arithmetic and more about disciplined definitions.

Why compare with cities and countries?

A raw density value, such as 4,500 people/km², does not mean much to most readers until it is anchored to a known place. Saying a district is "similar to Berlin or Chicago" creates an immediate mental model in a way that a bare number does not.

That is why benchmark comparisons are useful in journalism, planning, development proposals, and policy analysis. A city council member may not instantly understand 8,000 people/km², but they may understand "similar to Singapore" or "roughly twice Berlin." Comparison translates density into something visual and lived.

Benchmarking also helps identify genuine peer places. If a proposed district falls near Tokyo, Seoul, or Paris levels, those are better policy references than Phoenix or Houston. Conversely, if a project sits in low suburban ranges, transit and infrastructure expectations should be calibrated differently.

This page uses a nearest-benchmark feature precisely for that reason. It turns an abstract calculation into an interpretable reference without forcing you to memorize a city density table.

Comparisons also help expose unrealistic assumptions. If a proposal claims a suburban site will remain car-oriented while reaching Paris-like density, the benchmark itself reveals a likely mismatch between land use, mobility, and infrastructure. In the same way, a result that falls near rural-country averages should not be evaluated using the expectations of a dense urban core. Benchmarks are not just communication tools. They are diagnostic tools.

Can density vary inside one city?

Yes, dramatically. Any citywide density figure is an average across the entire administrative area, which means it hides huge internal differences between downtowns, residential districts, industrial zones, suburbs, and parks.

New York City is a good example. Manhattan is far denser than Staten Island, yet both are part of the same city. A single citywide density number is still useful, but it does not describe either place accurately on its own. The same pattern appears in Paris, London, Tokyo, Mumbai, and almost every other large city.

Borough or district	Density (people/km²)
Manhattan	27,564
Brooklyn	14,920
Queens	8,557
Staten Island	3,276

This is why sub-area calculations matter for transit, school capacity, housing policy, emergency access, and public health. The calculator accepts any area size, so you can work at the scale that actually matches your question rather than relying only on citywide averages.

For planners and journalists, that means the right density figure depends on the story being told. A citywide number may be appropriate for international comparison, while a borough, district, or neighborhood number is far better for transit access, zoning reform, school crowding, or local housing analysis. Density does vary inside one city, and the more local the question becomes, the more important those internal differences are.

Menu Gstarkindo

Senin, 14 September 2026

Kalkulator

Kalkulator Penjumlahan Otomatis