Afghanistan, Islamic Republic of vs Congo, Democratic Republic of the: Statistical performance indicators (SPI): Pillar 3 data products score

Afghanistan, Islamic Republic of
64.56 scale 0-100
in 2024
Congo, Democratic Republic of the
64.26 scale 0-100
in 2024
Afghanistan, Islamic Republic of rank
145th
Congo, Democratic Republic of the rank
146th

Statistical performance indicators (SPI): Pillar 3 data products score over time

  • Afghanistan, Islamic Republic of
  • Congo, Democratic Republic of the
020406080200520142024

How they compare

Afghanistan, Islamic Republic of currently reports 64.56 scale 0-100 against 64.26 scale 0-100 in Congo, Democratic Republic of the, a difference of 0.3 scale 0-100.

The two have swapped places 3 times across 20 shared years of data; in 2005 it was Congo, Democratic Republic of the ahead.

Afghanistan, Islamic Republic of ranks 145th and Congo, Democratic Republic of the ranks 146th of 215 countries.

Across the 3 decades both report, Afghanistan, Islamic Republic of averaged higher in 2 and Congo, Democratic Republic of the in 1.

Head to head by decade

Decade Afghanistan, Islamic Republic of Congo, Democratic Republic of the Difference Ahead
2000s 47.97 scale 0-100 50.58 scale 0-100 2.61 scale 0-100 Congo, Democratic Republic of the
2010s 55.87 scale 0-100 50.19 scale 0-100 5.67 scale 0-100 Afghanistan, Islamic Republic of
2020s 73.17 scale 0-100 65.63 scale 0-100 7.54 scale 0-100 Afghanistan, Islamic Republic of

Averages of every year both report within each decade.

Frequently asked questions

Which has higher statistical performance indicators (spi): pillar 3 data products score, Afghanistan, Islamic Republic of or Congo, Democratic Republic of the?
Afghanistan, Islamic Republic of, at 64.56 scale 0-100 against 64.26 scale 0-100 in Congo, Democratic Republic of the as of 2024.
What is the difference in statistical performance indicators (spi): pillar 3 data products score between Afghanistan, Islamic Republic of and Congo, Democratic Republic of the?
0.3 scale 0-100, with Afghanistan, Islamic Republic of ahead.
How many years of comparable data are there for Afghanistan, Islamic Republic of and Congo, Democratic Republic of the?
20 years are reported by both, from 2005 to 2024.
How do Afghanistan, Islamic Republic of and Congo, Democratic Republic of the rank globally for statistical performance indicators (spi): pillar 3 data products score?
Afghanistan, Islamic Republic of ranks 145th and Congo, Democratic Republic of the ranks 146th of 215 countries.
Where does this data come from?
Statistical Performance Indicators, World Bank (WB), published as Statistical performance indicators (SPI): Pillar 3 data products score (scale 0-100). Statizoid refreshes it automatically from the source and publishes the full history for both places.

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Afghanistan, Islamic Republic of vs Congo, Democratic Republic of the: Statistical performance indicators (SPI): Pillar 3 data products score. Statizoid, drawing on Statistical Performance Indicators, World Bank (WB). Retrieved 19 August 2026, from https://public-sector.statizoid.com/compare/statistical-performance-indicators-spi-pillar-3-data-products-score-scale-0-100/afghanistan/congo-dem-rep/

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About this data

Indicator
Statistical performance indicators (SPI): Pillar 3 data products score (scale 0-100)
Unit
scale 0-100
Source
Statistical Performance Indicators, World Bank (WB)
Licence
CC BY 4.0 (World Bank Open Data)
Coverage
219 places, 4,336 data points, 2005–2024
Last refreshed

The data products overall score is a composite score measuring whether the country is able to produce relevant indicators, primarily related to SDGs. The data products (internal process) pillar is segmented by four topics and organized into (i) social, (ii) economic, (iii) environmental, and (iv) institutional dimensions using the typology of the Sustainable Development Goals (SDGs). This approach anchors the national statistical system's performance around the essential data required to support the achievement of the 2030 global goals, and enables comparisons across countries so that a global view can be generated while enabling country specific emphasis to reflect the user needs of that country.