Consistency of Related Data – Introduction to Dropout Rates

Dropout rates provide a way to assess data consistency in programs where people are expected to return for follow-up services over time, such as immunization or antenatal care. By comparing a first service with a later one, they help reveal whether the numbers follow the expected pattern or point to possible data quality issues. Once the indicator is created, it can be visualized in the Data Visualizer to support follow-up and further investigation.

In this video, you’ll see how to build a dropout chart in the Data Visualizer, use legends to highlight negative values, and compare results across time and geography to spot both data quality issues and service delivery gaps.