Why primary data collection is more expensive than secondary data collection ? Mention any one reason.

Primary data collection is more expensive than secondary data collection for several reasons. One key reason is the cost of data collection methods.

Primary data involves collecting fresh information directly from the source through methods such as surveys, interviews, observations, and experiments. These methods require significant financial resources, including expenses for:

• Fieldwork (travel, accommodation, and logistics for researchers),
• Human resources (salaries for interviewers, enumerators, or researchers),
• Equipment (questionnaires, recording devices, or specialized tools),
• Time and effort (designing questionnaires, training staff, and processing raw data).

In contrast, secondary data is already available from existing sources (e.g., government records, published reports, or databases), eliminating these costs. Thus, primary data collection demands higher financial investment compared to secondary data collection.