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 due to several reasons, one of which is the high cost of data collection methods. Primary data involves direct collection from the source through methods such as surveys, interviews, observations, and experiments. These methods require significant financial resources for:

• Fieldwork expenses: Hiring trained enumerators, traveling to distant locations, and covering transportation costs.
• Equipment and tools: Purchasing or renting tools like questionnaires, recording devices, or measurement instruments.
• Time and labor: The process of designing questionnaires, training interviewers, and processing raw data is time-consuming and labor-intensive.

In contrast, secondary data is already available from existing sources like government records, books, or online databases, eliminating these costs. Thus, primary data collection demands greater financial investment compared to secondary data collection.