Case Study: Offline Demographic Survey on Cost of Living in Thailand

Industry: Public Sector

Duration: 60 days

Service: Recruitment, Fieldwork

The Business Issue

The client needed accurate, up-to-date information on the cost of living and spending habits in a specific region to inform policy decisions and social welfare programs. They required detailed demographic data to ensure targeted and effective interventions. This information is critical for understanding economic conditions, consumer behavior, and financial well-being.

The key issues addressed included:

Determining Cost of Living: Identifying the average costs associated with housing, food, transportation, and other essentials.

Analyzing Spending Patterns: Understanding how different demographic groups allocate their income and manage their finances.

This was part of a broader effort to strengthen Thailand’s social welfare policy through real-world, representative data collection.

The Techniques

Stratified Random Sampling
The survey employed stratified random sampling to ensure representation across various demographic segments, including different income levels, age groups, and geographic locations.
Offline Administration
Face-to-face interviews were conducted using printed questionnaires. Enumerators were trained to engage with respondents, explain questions, and ensure accurate responses.

The Results

– Detailed cost of living index for the region, broken down by demographic segments.
– Identification of key spending priorities and financial stress points for different population groups.
– Insights into informal economy participation and its impact on household finances.
– Data-driven recommendations for targeted social welfare programs and economic policies.
– Baseline data established for future longitudinal studies on economic well-being in the region.

The government agency used these insights to refine existing welfare programs and develop new, targeted initiatives to address specific economic challenges faced by different demographic groups in the region.