Data Validity: Data validity refers to whether census data accurately measures what it intends to measure. It considers factors such as measurement errors, biases, or inconsistencies that may affect its reliability.
Data Interpretation: Data interpretation involves making sense of collected information by analyzing patterns, trends, and relationships within census data. It helps researchers draw meaningful conclusions from the raw numbers.
Ethical Considerations: Ethical considerations involve examining the ethical implications related to collecting census data such as privacy concerns, informed consent from participants, and ensuring confidentiality during data analysis and reporting.