Last updated on June 4th, 2025
Two important methods of data collection are census and sampling. The census is the process of collecting, analyzing, evaluating, representing, and publishing the data of a population, which is known as the census. In this topic, we will be learning more about the census.
The method of collecting data from a population is known as census. The process of calculating, collecting, and recording data or data of a given population is the census. Censuses are widely used to collect data on worldwide and national populations, agriculture, students, business, etc., and they provide comprehensive and detailed information about the population based on certain characteristics. To know more about the country we use the census of different sectors, such as education, health, life expectancy, and population.
These are the cases where the census method of collecting data is suitable
There are two different methods of data collection: sampling and census. Now let’s learn the difference between census and sampling.
Census | Sampling |
The process of collecting data from the population is the census | In sampling, the data is collected using a selected portion of the population |
Used when the population is large | Used when the population is small |
It is more accurate as it has the information of the whole population | It is less accurate as it based on the estimate of the entire population |
It is time-consuming as it collects the data of a large population | It is faster to collect data from a small group in the population |
We use it for national statistics, policymaking, population census, and government planning | We use it for research, market studies, and quick estimates |
In various aspects of society, governance, and business we use census. Let's see a few real-world applications of the census.
Students usually make errors when working on the census and tend to repeat it. So let’s learn a few common mistakes and ways to avoid them in the census.
A hospital operates with a certain number of beds throughout the year. From January to June, it had 150 beds, and from July to December, it increased to 200 beds. During the first six months, the hospital provided 27,813 patient days of service. What was the average daily census for the first six months?
The average daily census for the six months is 153.7 patients per day.
The number of days in the months are :
January = 31 days
February = 28 days
March = 31 days
April = 30 days
May = 31 days
June = 30 days
So, the total number of days = 31 + 28 + 31 + 30 + 31 +30 = 181 days
Then the average daily census = 27813 / 181 = 153.663
So, the average daily census for the first six months is 153.7 patients per day
The city had a population of 500,000 people, which increased to 525,000 people over a period of 5 years. What is the annual population growth rate?
The annual population growth rate is 1%
The total; population increase is 525000–500000 = 25000
The population increase over 5 years is 5%
So, the annual population growth rate = 5% / 5 = 1%
A census finds 2,000,000 people living in 500,000 households. Find the average household size.
The average household size is 4 people per household
Here, the total population is, 2000000
The number of households is, 50000
So, the average household size = 2000000 / 500000 = 4
So, the average household size is 4 persons per household
A census survey conducted in a city recorded 60,000 males and 55,000 females. What is the gender ratio of the city, expressed as the number of males per 100 females?
The gender ratio of the city is 109.1 males per 100 females
Here, the number of males = 60000
Number of females = 55000
The gender ratio = (60000 / 55000) × 100 = 109.09
A village has a total population of 10,000 people, out of which 7,200 individuals are literate. What is the literacy rate of the village in percentage terms?
The literacy rate = 72%
The literate population = 7200
The total population = 10000
The literacy rate = (7200 / 10000) × 100 = 72%
Jaipreet Kour Wazir is a data wizard with over 5 years of expertise in simplifying complex data concepts. From crunching numbers to crafting insightful visualizations, she turns raw data into compelling stories. Her journey from analytics to education ref
: She compares datasets to puzzle games—the more you play with them, the clearer the picture becomes!