What is the Difference Between Census and Sampling?
🆚 Go to Comparative Table 🆚The main difference between a census and sampling lies in the scope of data collection and the resources required to carry out each method. Here are the key differences between the two:
- Census:
- Involves collecting data from every single member of a population.
- Provides a complete and accurate representation of the population.
- Requires a large amount of resources and time to conduct the survey and gather data.
- Can be more expensive than sampling.
- Usually conducted every 10 years.
- Gathers information such as demographic data, housing, and employment.
- Sampling:
- Involves collecting data from a subset or a selected group of the population.
- Provides an estimate or a general idea of the population based on the sample selected.
- Requires fewer resources and is quicker to conduct as it only involves a specific group of the population.
- Can be less expensive and faster than a census.
- Often used when the area of investigation is large.
In summary, a census is a method that collects and records data about every member of a population, while sampling is a method that collects data from a subset of the population to represent the entire group. Sampling is generally preferred when the area of investigation is large and when resources are limited, as it is less expensive and quicker than a census. However, the choice between the two methods depends on the specific requirements of the study and the resources available.
Comparative Table: Census vs Sampling
Census and sampling are two methods used for collecting data about a population. Here is a table highlighting the key differences between the two methods:
Feature | Census | Sampling |
---|---|---|
Meaning | A systematic method that collects and records data about every member of a population | A method that involves selecting a subset of individuals from a larger population |
Coverage | Collects information from all items in the population | Collects information from some items representing the whole population |
Suitability | Best suited for heterogeneous populations | Best suited for homogeneous populations |
Accuracy | Provides a complete and accurate representation of the population as it covers all members | Provides an estimate or a general idea of the population based on the sample selected |
Resources | Requires a large amount of resources and time to conduct the survey and gather data | Requires fewer resources and is quicker to conduct as it only involves a specific group of the population |
Cost | More expensive due to the inclusion of all items in the population | Less expensive as it involves a smaller group of individuals |
Applicability | Suitable when the area of investigation is relatively small | Preferred when the area of investigation is large |
In summary, a census involves collecting data from every single member of a population, providing a complete and accurate representation of the population. On the other hand, sampling involves selecting a subset of individuals from a larger population, which is quicker and requires fewer resources. Sampling is generally preferred when the area of investigation is large, while a census is more suitable for smaller areas with heterogeneous populations.
- Census Survey vs Sample Survey
- Census vs Survey
- Sample vs Population
- Stratified Sampling vs Cluster Sampling
- Sampling vs Quantization
- Multistage Sampling vs Sequential Sampling
- Example vs Sample
- Case Study vs Survey
- Poll vs Survey
- Survey vs Experiment
- Questionnaire vs Survey
- Population vs Sample Standard Deviation
- Simple Random Sample vs Systematic Random Sample
- Probability vs Statistics
- Categorical vs Quantitative Data
- Population Geography vs Demography
- Time Series vs Cross Sectional Data
- Classification vs Tabulation
- Recruitment vs Selection