Q:

# How do you calculate population density?

A:

Population density tells you how crowded a certain area is, on average. To calculate, you need measurements of area, the population count and a calculator.

Know More

## Keep Learning

Credit: James Cridland CC-BY-2.0

1. Determine the location

Choose the unit of physical space that is to be used. Population density is a measurement of the number of people per unit area. That unit area can be small, such as a neighborhood, or large, such as a country or continent.

2. Calculate the area

A common measurement used when speaking of population density is square mile. Either measure the physical area or locate the length and width from a reliable resource, such as a map.

3. Find the population count

Learn the population count present within the boundaries of the area. Depending on the size of the area, you might consult official census records to obtain the population count.

4. Complete the calculation

The population number is the numerator, and the area is the denominator. Divide the numerator by the denominator to obtain the population density. This figure frequently is expressed in terms of number of people per square mile, for example.

Sources:

## Related Questions

• A:

The Hardy-Weinberg equations calculate the genetic variation and allele frequencies of a population at equilibrium. They are p + q = 1 and p^2+ 2pq + q^2 = 1 where p is the frequency of the "A" allele and q is the allele frequency for the "a" allele.

Filed Under:
• A:

Sampling, in statistics, is a method of answering questions that deal with large numbers of individuals by selecting a smaller subset of the population for study. One of the most prevalent types of sampling is random sampling.

Filed Under:
• A:

Judgment sampling is a method in statistics and quantitative research for non-randomly selecting subjects for study from a population by selecting according to the opinion of an expert. It is a biased method that is useful when some members of a population make better subjects than others. The nature of judgment sampling makes data derived by this method harder to generalize and prone to an increased chance of misrepresentation.