Ethiopia's NIDP issues biometrically verified digital IDs (Fayda) using AI-powered multi-biometric matching. By Oct 2024: 8.8 million IDs issued, 3.2 million authentications, 32 agencies integrated; Ethiopia rose 10 places in the 2024 UN E-Government Development Survey.
8.8 million
Digital IDs issued (by October 2024)
3.2 million
Authentications completed (by October 2024)
32
Government agencies integrated (Oct 2024) (October 2024)
55
Government agencies integrated (mid-2025) (mid-2025)
10 places
UN E-Government Development Survey ranking improvement (2024)
$350 million
World Bank programme financing
90 million
Enrollment target (by 2027-2030)
Details
Maturity
Scaling
Promoter
National ID Programme (NIDP), Ministry of Innovation and Technology
Period
2022–present
Keywords
digital identity, biometrics, e-government, inclusion
Context
Fayda is Ethiopia's national biometric digital identity system, developed under the National ID Programme (NIDP) at the Ministry of Innovation and Technology and based in Addis Ababa. It uses TECH5's multi-biometric matching engine to verify identity via fingerprints, iris scans, and facial photographs, aiming to give citizens trusted access to public services, financial inclusion, and social protection transfers.
Objectives
The programme aims to provide every Ethiopian with a trusted biometric digital identity that enables access to public services, financial inclusion, and social protection transfers, with a target of 90 million people enrolled by 2027-2030.
Activities
NIDP enrolls citizens using TECH5's multi-biometric matching engine (fingerprints, iris, and facial photographs) and integrates the resulting Fayda ID with government agencies' systems, financed in part by a $350 million World Bank 'Digital ID for Inclusion and Services' project.
Results
By October 2024, Fayda had issued 8.8 million digital IDs and recorded 3.2 million authentications, with 32 government agencies integrated, rising to 55 institutions by mid-2025. Ethiopia advanced 10 places in the 2024 UN E-Government Development Survey.
Conclusions
While enrollment and agency integration continue to scale toward the 90-million target, observers have noted that Ethiopia lacks a comprehensive data protection law and that TECH5's proprietary biometric algorithms are not independently auditable, and no published data exists on service-delivery quality or error rates by demographic group.
Implementation
Indicative cost
Very high (> €5M) — Financed in part by a $350 million World Bank 'Digital ID for Inclusion and Services' project; classified as very_high given the scale of a national biometric identity rollout targeting 90 million people.
Time to results
Long (> 3 years) — Programme active since 2022, with an enrollment target extending to 2027-2030; classified as long given the multi-year rollout horizon.
Staffing & skills
National ID Programme (NIDP), Ministry of Innovation and Technology — programme owner, TECH5 — proprietary multi-biometric matching engine provider, World Bank — co-financier via the 'Digital ID for Inclusion and Services' project
Conditions for success
Multi-biometric matching engine (fingerprint, iris, facial) to reduce duplicate/fraudulent enrollments
Progressive integration with government agencies' own service systems (32 agencies by Oct 2024, 55 by mid-2025)
Sustained multi-year donor financing (World Bank) to fund national-scale rollout
Common failure modes
Ethiopia lacks a comprehensive data protection law
TECH5's proprietary biometric algorithms are not independently auditable
No published data exists on service-delivery quality or error rates by demographic group
Where it fits
Governance type
centralized national programme under a government ministry, co-financed by a multilateral development bank
Scale
national, targeting 90 million enrollees by 2027-2030
Income level
low-income (Ethiopia)
Commonly funded by
National / regional programmes
Indicative funding routes for practices of this type — always check each programme's current calls and eligibility rules.
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Claim it —
verified implementers get a public contact pathway and can propose corrections.
Data sources
Where this practice's information was retrieved from, and when.
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