With over 10 years of experience in survey research, we have developed a comprehensive respondent database of more than 300,000 individuals across all 34 provinces of Indonesia. This diverse network includes both urban and rural populations, spanning a wide range of age groups, educational backgrounds, expenditure levels, and occupations. Our extensive reach ensures that the insights we deliver are truly reflective of Indonesia’s demographic landscape, enabling accurate, data-driven decision-making for our clients.
More DetailThe respondent database spans a wide age range, from individuals over 70 years old (born before 1955) to those under 21 years old (born after 2004), encompassing generations from the Baby Boomers to Alpha Generation.
More DetailThe respondent database has an almost balanced composition of men and women.
More DetailOur research services cover Marketing, Social Politics, and Media & Internet. With a respondent database spanning over 10 industries, we offer diverse and richly categorized panels to meet a wide range of research needs.
More DetailAnnually, the respondent panel data is expanded, especially through additions from face-to-face interview data..
More DetailReach the right audience, gain meaningful insights, and make smarter decisions faster with Alvara Panel.
A single integrated platform simplifies every step — from project setup to data delivery — making surveys effortless to manage.
All survey stages are completed online — from panel selection to questionnaire design, project tracking, and reporting — ensuring faster results.
An even distribution of panels—across administrative regions, demographics, and industries—provides better information tailored to your needs.
Join our panel of 300,000+ members and share your opinions or ideas and get an easy passive income.
Start your membershipalvara panel is a validated respondent database collected periodically from 2012 to the present. The majority of respondent data was gathered through house-to-house surveys using multistage random sampling techniques to ensure representativeness. Additionally, supplementary data were obtained through booster samples, purposive sampling, snowball sampling, and member registration to enhance coverage and respondent diversity.