The new Statistical Performance Indicators (SPI) replaces the Statistical Capacity Index (SCI), which the
World Bank has regularly published since 2004. Although the goals are the same, to offer a better tool to
measure the statistical systems of countries, the new SPI framework has expanded into new areas
including data use, administrative data, geospatial data, data services, and data infrastructure. The SPI
provides a framework that can help countries measure where they stand in several dimensions and offers
an ambitious measurement agenda for the international community.
The data sources overall score (Pillar 4 score) is a composite measure of whether countries have data
available from the following sources: Censuses and surveys, administrative data and geospatial data. The
data sources (input) pillar is segmented by the following sources generated by (i) the statistical office
(censuses and surveys), and sources accessed from elsewhere such as (ii) administrative data, and (iii)
geospatial data. The appropriate balance between these source types will vary depending on a
country’s institutional setting and the maturity of its statistical system.
High scores should reflect the
extent to which the sources being utilized enable the necessary statistical indicators to be generated. For
example, a low score on environment statistics (in the data production pillar) may reflect a lack of use of
(and low score for) geospatial data (in the data sources pillar).
On the other hand, The Open Data Inventory (ODIN) Coverage Index is an indicator of a country’s capacity to produce a set of
official statistics across 22 categories from national databases to support the SDGs.
Computing the total
index across the five elements for each of the 22 data categories allows for an assessment of the
country’s revealed capacity to produce data that are important for national, regional, and global
development efforts.
Source: United Nations Statistics Division
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