The UNFPA Country Office in Lao PDR is seeking an international consultant to provide advanced technical assistance and demographic expertise to the Lao Statistics Bureau (LSB) for the computation, validation, structural modelling, and narrative write-up of the official Population and Housing Census Thematic Report on Fertility and Nuptiality, including a high-impact Policy Brief and interactive geospatial dissemination products.
Job Purpose
The consultant will be directly embedded within the LSB analytical structure via an Expert Pairing Modality, working 1-to-1 with a LSB counterpart and mentoring a dedicated cohort of 2–3 junior LSB experts to maximize institutional knowledge transfer. The scope of analysis is bound by the parameters captured in the 2025 PHC questionnaires.
Key Responsibilities
- Nuptiality and Marriage Dynamics: Analyze proportional distributions of marital statuses, derive Singulate Mean Age at Marriage (SMAM), and conduct micro-analysis of child marriage and consensual unions.
- Fertility Levels, Variations, and Differentials: Direct and indirect estimation of Total Fertility Rate (TFR) and Age-Specific Fertility Rates (ASFR), and compute mean Children Ever Born (CEB).
- Adolescent and Teenage Fertility: Detailed single-year tracking of early fertility and mapping risks and sub-national hotspots.
- Geospatial and GIS Mapping Integration: Integrate localized indicators with LSB’s GIS infrastructure to produce high-resolution choropleth maps.
Operational Steps & Deliverables
- Inception and Methodological Design
- Structural Outline and Dummy Tables
- Syntax Development and On-the-Job Mentorship
- Data Validation and Indirect Adjustments
- Monograph Synthesis and Narrative Drafting
- High-Impact Policy Brief Production
Qualifications & Experience
- Advanced degree in Demography, Statistics, Economics, or a related social science field.
- Demonstrated expertise in demographic estimation techniques, particularly fertility and nuptiality analysis.
- Experience working with statistical software (SPSS and/or R) and GIS mapping tools.
- Prior experience working with national statistics offices or international organizations is highly desirable.