Enumerators’ Characteristics and Data Quality in Susenas 2025: A Logistic Regression Study

This study employs data from the 2025 National Socio-economic Survey (Susenas) conducted in South Sulawesi Province, Indonesia. This research examines the causal effect of enumerators’ biographical characteristics on data quality. A quantitative approach was adopted, with binary logistic regression applied to evaluate the influence of five key enumerator characteristics age, gender, educational attainment, prior Susenas experience, and primary occupation on data quality outcomes. The results indicate that enumerator biographical attributes collectively exert a statistically significant effect on the likelihood of producing high-quality survey data. At the individual level, gender, prior Susenas experience, and occupation demonstrated statistically significant associations with improved data quality; notably, homemakers and self-employed individuals contributed most prominently to this effect. Female enumerators demonstrated a higher probability of generating accurate responses compared to their male counterparts. In line with these findings, prior Susenas experience and occupational background were positively correlated with data reliability. These results underscore the relevance of personal attributes in shaping field performance and suggest that recruitment strategies should incorporate both experiential and occupational considerations. Enhancing enumerator training is further recommended to ensure the consistency and integrity of future Susenas data collection efforts.