Countries by SPI Overall Score

Ranking 2024

Analysis

The SPI overall score measures a country's statistical system quality across five pillars: data use (whether decision-makers rely on data), data services (accessibility and relevance), data products (outputs like national accounts), data sources (survey and administrative capacity), and data infrastructure (systems and personnel). Scored 0-100, higher scores indicate comprehensive statistical capacity. This matters because countries cannot manage economies, target aid, track disease, or plan infrastructure without reliable data. A nation scoring 94 (Norway) has real-time labor statistics, accurate GDP estimates, and regular household surveys. One scoring 27 (South Sudan) may lack census data, income statistics, or price indices. Volatility averages 5.1%—low because statistical systems change slowly, requiring years to build or rebuild. All 188 countries reported 2024 data with 100% official data quality. =

The top rankings are exclusively wealthy democracies and functional states. Norway (94.14), Sweden (92.66), Canada (92.36), Denmark (92.05), and Spain (91.82) occupy ranks 1-5. The USA (90.06, rank 18), Germany (90.06, rank 19), and Japan (90.99, rank 11) follow. This tier ranges 90-94, indicating mature statistical systems with multiple data sources, strong methodology, and open access. A second tier (ranks 50-100, scores 75-85) includes emerging economies with functional statistics: South Africa (81.29, rank 61), Argentina (80.39, rank 64), Mauritius (80.44, rank 63), Turkey (79.35, rank 68), and Egypt (78.14, rank 72). These countries maintain statistical offices and conduct surveys but with less international integration or frequent updates. The bottom tier (ranks 175-188, scores 27-42) consists of conflict-affected and fragile states: South Sudan (27.12), Turkmenistan (29.65), Equatorial Guinea (32.15), Syria (32.42), Libya (34.75), Yemen (37.44), Haiti (38.74), and Congo Republic (38.87). These countries lack functional statistical systems, often due to conflict, governance collapse, or isolation.

Costa Rica (90.98, rank 12) and Mexico (90.95, rank 13) score as high as Japan and Germany, reflecting deliberate statistical investment in middle-income countries. Portugal (90.71, rank 15) outranks the USA (90.06), suggesting smaller nations can achieve statistical excellence through institutional focus. Romania (91.05, rank 10) scores higher than Germany, reflecting EU statistical harmonization requirements. Conversely, several wealthy or resource-rich nations rank lower: Venezuela (39.46, rank 178) and Turkmenistan (29.65, rank 187) both have oil wealth but score near the bottom, suggesting that resource endowment alone doesn't ensure statistical capacity—governance and institutional openness matter more. One statistical outlier, Somalia (11.77), scores far below all others, indicating near-total institutional collapse. The stability (5.1% volatility) reflects that statistical systems improve incrementally; even post-conflict countries gain 1-2 points yearly as they rebuild.

This metric measures perceived institutional capacity based on the SPI framework, not data accuracy or relevance. A country scoring 80 may have abundant data that is outdated, irrelevant, or unreliable. The five pillars (data use, services, products, sources, infrastructure) are subjective—evaluators must judge whether data "reaches" decision-makers or data "products" are adequate. Countries with centralized statistical control may score high despite data being politically manipulated or unavailable to the public. Additionally, the SPI methodology (developed post-2020) represents a break from the older Statistical Capacity Index, making historical comparisons problematic before 2024. Scores also reflect survey-based assessments where respondents may overstate or understate capacity depending on incentives. Finally, the metric doesn't measure data utilization in practice—a country may have excellent statistical offices yet policymakers ignore the data, or conversely, may use imperfect data effectively if it's all available.

Methodology

The SPI overall score measures each country's statistical system performance on a 0-100 scale across five pillars: data use (demand side—whether data informs policy), data services (accessibility, timeliness, user support), data products (national accounts, price indices, demographic statistics), data sources (surveys, censuses, administrative records), and data infrastructure (technology, personnel, funding). Countries are assessed on dimensions like whether statistics reach legislatures, executives, civil society, academia, and international organizations. Data comes from the World Bank's World Development Indicators (indicator: IQ.SPI.OVRL), sourced from country self-assessments and expert evaluation. All 188 countries reported 2024 data with 100% official data quality. The mean SPI score is 65.35 with a standard deviation of 17.42, indicating broad variation globally. One extreme outlier (Somalia at 11.77) was detected, representing institutional collapse. Year-over-year volatility averages 5.1%, reflecting gradual improvement in statistical capacity as countries invest in systems and personnel. The metric replaced the older Statistical Capacity Index (2004-2021), offering a broader framework but limiting historical comparison.

Sources

• World Bank