What is the Difference Between Census Survey and Sample Survey?
🆚 Go to Comparative Table 🆚The main difference between a census survey and a sample survey lies in the scope of the population being studied and the resources required for each method. Here is a comparison of the two:
Census Survey:
- Involves collecting data from every member of a population.
- Requires a large amount of resources and time to conduct the survey and gather data.
- Provides a complete and accurate representation of the population as it covers all the members.
- Can be more expensive than sampling as it involves collecting data from every member of the population.
- Generally takes more time to collect data.
- Suitable when the population size is small.
Sample Survey:
- Involves collecting data from a subset or a selected group of the population.
- Requires fewer resources and is quicker to conduct as it only involves a specific group of the population.
- Provides an estimate or a general idea of the population based on the sample selected.
- Is generally less expensive than a census as it only involves a specific group of the population.
- Takes less time to collect data.
- Preferred when the population size is large.
In summary, a census survey gathers information from every single member of a population, while a sample survey collects data from a smaller, representative group of the population. Census surveys are more accurate and comprehensive but require more resources and time, while sample surveys are more efficient and cost-effective but provide an estimate of the population based on the selected sample.
Comparative Table: Census Survey vs Sample Survey
Here is a table comparing the differences between a census survey and a sample survey:
Feature | Census Survey | Sample Survey |
---|---|---|
Meaning | A systematic method that collects and records data about all members of a population | A method that involves selecting a portion of the population to represent the entire group, in all its characteristics |
Enumeration | Complete | Partial |
Accuracy | High, as all items are taken into consideration | Lower, as the results are based on a subset of the population |
Reliability | More reliable, as it includes all members of the population | Less reliable, as it depends on the size and representativeness of the sample |
Best Suited For | Larger populations, as it can provide accurate and reliable results | Smaller populations or when a complete enumeration is not feasible, as it can still provide useful insights and estimates |
Error Probability | Lower, as all items are considered | Higher, as the results depend on the sample size and representativeness |
Use Cases | Census surveys, such as the American Community Survey (ACS), and American Housing Survey (AHS) | Sample surveys, where a subset of the population is chosen to represent the entire group |
A census survey involves collecting and recording data about all members of a population, ensuring accurate and reliable results. On the other hand, a sample survey involves selecting a portion of the population to represent the entire group, which can be less reliable and accurate depending on the sample size and representativeness.
- Census vs Survey
- Census vs Sampling
- Case Study vs Survey
- Questionnaire vs Survey
- Sample vs Population
- Poll vs Survey
- Survey vs Experiment
- Example vs Sample
- Stratified Sampling vs Cluster Sampling
- Multistage Sampling vs Sequential Sampling
- Plane Surveying vs Geodetic Surveying
- Simple Random Sample vs Systematic Random Sample
- Population vs Sample Standard Deviation
- Cohort vs Panel Study
- Market Research vs Marketing Research
- Observation vs Interviewing as Methods of Data Collection
- Longitudinal vs Cross-Sectional Study
- Time Series vs Cross Sectional Data
- Case Study vs Research