CRVS Robustness Scores for 115-119 Countries Before and After SDG 16.9

115 countries in the decade before, and 119 countries in the decade after the adoption of SDG 16.9 are covered by this dataset. V.N. Tran created this data to measure the latent robustness of Civil Registration and Vital Statistics systems. It includes estimated scores based on birth and death registration coverage, completeness, national ID card coverage, age heaping, and statistical capacity.

Use Cases

• Benchmarking national CRVS system performance based on the multi-factor robustness measure.
• Identifying countries and sectors for targeted capacity-building support based on estimated latent scores.
• Analyzing changes in CRVS robustness before and after the adoption of SDG 16.9 across 115-119 countries.
• Correlating birth registration coverage, death registration coverage, and national ID card coverage to assess system completeness.

Strengths

• Data covers 115 countries in the decade before, and 119 countries in the decade after the adoption of SDG 16.9.
• Includes a novel empirical measure of CRVS robustness estimated via multi-group confirmatory factor analysis.
• Released under a permissive CC-BY-4.0 license, allowing for reuse and modification.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is small at 116.4 KB, indicating limited scope and likely aggregated summary statistics.

Provenance

Source

V.N. Tran via figshare.

Collection Method

Analysis using multi-group confirmatory factor analysis on indicators including birth/death registration coverage, CRVS completeness, national ID card coverage, age heaping, and statistical capacity.

Time Range

Decade before and decade after the adoption of SDG 16.9 (circa 2005-2025).

Freshness

Last updated 2026-04-14 11:49:22; freshness should be verified.

Geography

Global, covering 115-119 countries.