With more than 1.2 billion residents enrolled, Aadhaar is the world’s largest national digital identity platform. Aadhaar’s database and applications are supported by a complex ecosystem of processes and actors. Yet key questions related to the platform – enrolment and updating processes, usage, and data quality – remain unanswered. Until recently, there was insufficient data to answer these questions. While data gaps remain, we use the SOA survey, along with other recent research and administrative data to begin providing answers.
Aadhaar enrolment began in September 2010 and has been increasing steadily over the years. It is therefore important to examine whether certain communities have been excluded from Aadhaar and what are people’s experiences with the enrolment process.
Overall enrolment trends in the SOA survey
The figure below compares UIDAI data and SOA data on Aadhaar Enrolment. It also provides a comparison of saturation amongst adults for Aadhaar and voter ID.
Analysing the enrolment process
The figure below showcases the user perception of Aadhaar enrolment process.
Aadhaar usage and awareness
A critical but largely unanswered question is how do people tend to use their Aadhaar. Below, we explore the most common types of uses and look into how many people use each type.
Usage to establish identity
The figure below shows the different uses of Aadhaar by residents
The figure below shows the increase in Aadhaar authentication and unique residents authenticated over time
In our survey we asked a series of questions about awareness to understand which features and functionalities people understood regarding Aadhaar. The figure below provides a summary of these data points.
Aadhaar data quality and updating data
While saturation levels are important, it is equally imperative to ensure that the information collected is accurate. Low data quality would lead to errors in seeding and a less reliable e-KYC process. Through our survey, we wanted to gain a better understanding of the quality of the demographic data captured through Aadhaar
Data quality in Aadhaar and voter ID
The figure provides a comparison of errors in Aadhaar and voter ID.
Types of errors in Aadhaar
The figure below provides a breakdown of the types of error on Aadhaar letters with a demographic error.
News & Updates
This report presents key findings and recommendations with respect to Aadhaar authentication through biometrics from various Proof of Concept (PoC) studies conducted by UIDAI. The studies examined different methods and…Read more