Difference between Census and Sampling Method

Census and sampling methods are two different approaches used in research and data collection. While both aim to gather information about a population, they differ in terms of scope, time, cost, and accuracy.

Census Method:
A census method involves collecting data from every individual or element within a population. It aims to provide a comprehensive and accurate representation of the entire population. Here are some key characteristics of the census method:

1. Scope: The census method covers the entire population, leaving no room for sampling error or bias.
2. Accuracy: Since data is collected from every individual, the results are expected to be highly accurate and representative of the population.
3. Time: Conducting a census can be time-consuming, especially for large populations, as data needs to be collected from each and every unit.
4. Cost: Census methods can be costly, as they require resources to reach and collect data from every individual within the population.
5. Representativeness: A census provides a complete picture of the population, ensuring that no subgroup is excluded or underrepresented.

Sampling Method:
Sampling methods, on the other hand, involve selecting a subset of individuals or elements from a population to gather information. The selected sample is expected to represent the entire population accurately. Here are some key characteristics of the sampling method:

1. Scope: Sampling methods collect data from a smaller subset of the population, aiming to generalize the findings to the entire population.
2. Accuracy: The accuracy of the results depends on the representativeness of the sample and the quality of the sampling technique used. Sampling error may occur.
3. Time: Sampling methods can be quicker to implement compared to census methods, as data is collected from a smaller, manageable sample.
4. Cost: Sampling methods are generally more cost-effective compared to census methods, as they require fewer resources to collect data from a smaller sample.
5. Representativeness: The representativeness of the sample is crucial to ensure that the findings can be generalized to the entire population. Proper sampling techniques should be employed to minimize bias and ensure a representative sample.

Conclusion:
In summary, the main difference between the census and sampling methods lies in the scope, time, cost, and accuracy of data collection. While a census aims to collect information from every individual within a population to provide a comprehensive picture, sampling methods select a subset of individuals to represent the whole population. The choice between these methods depends on the research objectives, available resources, and the desired level of accuracy and representativeness.

1. Reliable and accuracy
2. Originality
3. Economical