Pages

Category

Your Result is copied!

# Population Density Calculator

Enter the population and land area to calculate the population density within a certain locality through this calculator.

sq. mi

This free population density calculator is specifically designed to calculate population density that is located within a certain area. You can make a proper comparison in between various localities after using this population distribution calculator. Let us discuss more about population distribution in detail. Give a read!

## What Is Population Density?

Generally speaking;

“The term population density refers to the number of people residing in a per square mile of the land area”.

Basically, every government keeps an eye on the population of the state so that the needs of the people could be fulfilled accordingly. That is why it is very crucial to maintain a balance among the basic necessities of the residents and resources provided to them. Keep in mind that the shorter the residential area is, the more simple it is to determine the population. Our free online population density calculator assists in estimating the exact number of people living within a particular piece of land.

### Population Density Formula:

You can carry out population density calculation of a land piece with the help of the population density equation below:

$$\text{Population Density} = \frac{P}{A}$$ $$D = \frac{P}{A}$$

### How To Calculate Population Density?

In this section, we will be solving a couple of population density examples to clear this basic term in more depth. Keep focusing!

Example # 01:

The land area of New York city is about $$783.3km^{2}$$. According to a recent survey made in the year 2019, the population of this city has exceeded upto 8 million. How to find population density?

Solution:

First of all, we have:

$$8 million = 8000000$$

Finding population density:

$$D = \frac{P}{A}$$

$$D = \frac{8000000}{783.3}$$

$$D = 10213 People Per Square Miles$$

Example # 02:

How is population density calculated of a particular locality of about $$23km^{2}$$ in area and having a population of about 1lac?

Solution:

Using the population density formula:

$$D = \frac{P}{A}$$ $$D = \frac{100000}{23}$$

$$D = 4347 people per square miles$$

Here the free population density calculator online also estimates the same population value but more precisely.

### How Population Density Calculator Works?

The population density formula calculator takes a couple of seconds to calculate the residential density in any state quickly and absolutely. Let’s find how!

Input:

• Write down the population of the area in the menu box
• After doing so, mention the residential area in the next column
• Tap the calculate button

Output:

The population distribution calculator estimates:

• The exact number of the people residing in the area per square mile.

## FAQ’s:

### Why is population density important?

The residential density plays a key role in knowing the mindset and culture of the people. The engineers find it necessary to predict the population growth to design an infrastructure that consumes a huge population within it. Without this knowledge, it is nearly impossible to design a perfect 3D model of any construction to allow maximum inhabitants to live.

### Is there any chance that population density changes?

Yes, of course! When the number of people residing in a piece of land increases or decreases, it causes the native density to deviate.

### What population density levels are considered rural or urban?

According to a study, it has been estimated that urban localities must comprise almost 50,000 people. While for rural areas, this number is 2500.

### Where is the population density highest?

The report says that the highest population density is in the countries of Manilla and Philippines. The population density of these states has exceeded the number 107,000 per square mile.

## References:

From the source of Wikipedia: Biological population densities, Arithmetic density, Physiological density, Agricultural density, Urban density, Ecological optimum, Living density