National Consultancy for the preparation to conduct the 2028 Population and Housing Census

The consultancy aims to strengthen CAPMAS’s capacity to assess, clean, link, and utilize administrative registers for the 2028 Combined Census and transition to register-based statistics. The consultant will provide technical assistance to establish statistical infrastructure, build an integrated Statistical Population Register, and implement microdata confidentiality safeguards.

Responsibilities

• Evaluate and benchmark Egypt’s register ecosystem against international preconditions for register-based and hybrid transitions, highlighting legal, technical, and institutional gaps.
• Train and enable CAPMAS to identify and evaluate administrative data sources across Source, Input, Process, and Output quality stages.
• Establish specialized capacity in deterministic and probabilistic record linkage, de-duplication, conflict resolution, and 'Signs of Life' (SOL) activity filtering.
• Formulate the architectural blueprint and operational workflow to link individuals, addresses, and enterprises into an integrated secondary Statistical Population Register.
• Establish statistical disclosure control, microdata security, and inter-institutional governance frameworks.
• Deliver a 12-day practical training program for CAPMAS technical personnel covering record linkage, SOL logic, and quality evaluation matrices.
• Guide CAPMAS teams in constructing a prototype Statistical Population Register using real test datasets and co-draft Standard Operating Procedures for data quality assessment, transformation algorithms, and SDC for the 2028 census.

Requirements

• Advanced university degree (master’s or Ph.D.) in Statistics, Demography, Data Science, Computer Science, or related quantitative field.
• Minimum 12 years of professional experience in census design, official statistics, or administrative register integration into national statistical systems.
• Demonstrated track record in leading or advising National Statistical Offices through transitions from traditional to combined or register-based censuses methodologies.
• Familiarity with UN Statistics Division and UNECE census frameworks and UNFPA census training materials.
• Advanced proficiency in record linkage (deterministic and probabilistic), database management (SQL), statistical computing (R, Python), and Statistical Disclosure Control (SDC) packages.
• Fluency in both Arabic and English is required, as deliverables and training must be provided in both languages.

Skills

• Census Design
• Official Statistics
• Administrative Register Integration
• National Statistical Systems
• Register-based Census Methodologies
• UN Statistics Division Frameworks
• UNECE Census Frameworks
• UNFPA Census Training
• Record Linkage
• Deterministic Record Linkage
• Probabilistic Record Linkage
• Database Management
• SQL
• Statistical Computing
• R Programming
• Python Programming
• Statistical Disclosure Control
• Microdata Confidentiality
• Statistical Infrastructure Development
• Population Register Integration

Languages

Arabic, English