Statistical performance indicators (SPI): Pillar 3 data products score in Congo

Congo: Statistical performance indicators (SPI): Pillar 3 data products score was 61.34 scale 0-100 in 2024. ▲ Rising

Latest (2024)
61.34 scale 0-100
Change on year
down 4.8%
World rank
161st
of 215 countries
All-time high
64.42 scale 0-100
in 2023
All-time low
43.11 scale 0-100
in 2010
Years of data
20
2005–2024

Statistical performance indicators (SPI): Pillar 3 data products score in Congo, 2005–2024

02040602005201420242005: 51.7 scale 0-1002006: 51.3 scale 0-1002007: 50.9 scale 0-1002008: 50.8 scale 0-1002009: 51 scale 0-1002010: 43.1 scale 0-1002011: 48.4 scale 0-1002012: 51.3 scale 0-1002013: 50.7 scale 0-1002014: 49.4 scale 0-1002015: 53.5 scale 0-1002016: 52.4 scale 0-1002017: 49.1 scale 0-1002018: 48.2 scale 0-1002019: 47.8 scale 0-1002020: 52.3 scale 0-1002021: 62.6 scale 0-1002022: 59.4 scale 0-1002023: 64.4 scale 0-1002024: 61.3 scale 0-100

Source: Statistical Performance Indicators, World Bank (WB). Measured in scale 0-100.

Analysis

In 2024, statistical performance indicators (spi): pillar 3 data products score in Congo stood at 61.34 scale 0-100.

That represents a change of down 4.8% on the previous year and up 24.1% over ten years.

Over the whole period, statistical performance indicators (spi): pillar 3 data products score in Congo peaked at 64.42 scale 0-100 in 2023 and was at its lowest, 43.11 scale 0-100, in 2010.

Congo ranks 161st of 215 countries on this measure, in the middle of the range.

The long-run direction has been consistently rising across the 20 years of available data.

Averages by decade

DecadeAverage LowestHighest Years
2000s 51.13 scale 0-100 50.76 scale 0-100 51.72 scale 0-100 5
2010s 49.39 scale 0-100 43.11 scale 0-100 53.47 scale 0-100 10
2020s 60 scale 0-100 52.28 scale 0-100 64.42 scale 0-100 5

Countries ranked near Congo

  1. 158 Palau 62.36 scale 0-100 compare
  2. 159 Cuba 61.97 scale 0-100 compare
  3. 160 Brunei 61.56 scale 0-100 compare
  4. 162 Solomon Islands 60.92 scale 0-100 compare
  5. 163 Suriname 60.88 scale 0-100 compare
  6. 164 Equatorial Guinea 60.41 scale 0-100 compare

See the full ranking of 219 places →

More public sector data for Congo

All data for Congo →

Frequently asked questions

What is statistical performance indicators (spi): pillar 3 data products score in Congo?
Statistical performance indicators (spi): pillar 3 data products score in Congo was 61.34 scale 0-100 in 2024, according to Statistical Performance Indicators, World Bank (WB).
What is the highest statistical performance indicators (spi): pillar 3 data products score recorded in Congo?
The highest recorded value was 64.42 scale 0-100 in 2023.
What is the lowest statistical performance indicators (spi): pillar 3 data products score recorded in Congo?
The lowest recorded value was 43.11 scale 0-100 in 2010.
How does Congo rank for statistical performance indicators (spi): pillar 3 data products score?
Congo ranks 161st out of 215 countries with data for 2024.
Is statistical performance indicators (spi): pillar 3 data products score rising or falling in Congo?
Over the last ten years it is up 24.1%. The long-run trend across the full record is rising.
Where does this Congo data come from?
The figures come from Statistical Performance Indicators, World Bank (WB), published as part of Statistical performance indicators (SPI): Pillar 3 data products score (scale 0-100). Statizoid updates them automatically from the source API.

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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.