Statistical performance indicators (SPI): Pillar 4 data sources score in Togo

Togo: Statistical performance indicators (SPI): Pillar 4 data sources score was 43.58 scale 0-100 in 2024. ▲ Rising

Latest (2024)
43.58 scale 0-100
Change on year
up 7.1%
World rank
134th
of 182 countries
All-time high
44.25 scale 0-100
in 2020
All-time low
32.04 scale 0-100
in 2016
Years of data
10
2015–2024

Statistical performance indicators (SPI): Pillar 4 data sources score in Togo, 2015–2024

0102030402015201920242015: 33.6 scale 0-1002016: 32 scale 0-1002017: 39.9 scale 0-1002018: 42.7 scale 0-1002019: 42.7 scale 0-1002020: 44.2 scale 0-1002021: 40.1 scale 0-1002022: 43.2 scale 0-1002023: 40.7 scale 0-1002024: 43.6 scale 0-100

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

Analysis

In 2024, statistical performance indicators (spi): pillar 4 data sources score in Togo stood at 43.58 scale 0-100.

That represents a change of up 7.1% on the previous year and up 29.6% over ten years.

Over the whole period, statistical performance indicators (spi): pillar 4 data sources score in Togo peaked at 44.25 scale 0-100 in 2020 and was at its lowest, 32.04 scale 0-100, in 2016.

That places Togo 134th out of 182 countries with data for 2024, putting it in the middle of the range.

Averages by decade

DecadeAverage LowestHighest Years
2010s 38.19 scale 0-100 32.04 scale 0-100 42.67 scale 0-100 5
2020s 42.36 scale 0-100 40.08 scale 0-100 44.25 scale 0-100 5

Countries ranked near Togo

  1. 131 Laos 44.42 scale 0-100 compare
  2. 132 Algeria 44.3 scale 0-100 compare
  3. 133 Liberia 44.05 scale 0-100 compare
  4. 135 Saint Kitts and Nevis 43.56 scale 0-100 compare
  5. 136 Vanuatu 43.48 scale 0-100 compare
  6. 137 Cote d'Ivoire 43.38 scale 0-100 compare

See the full ranking of 186 places →

More public sector data for Togo

All data for Togo →

Frequently asked questions

What is statistical performance indicators (spi): pillar 4 data sources score in Togo?
Statistical performance indicators (spi): pillar 4 data sources score in Togo was 43.58 scale 0-100 in 2024, according to Statistical Performance Indicators, World Bank (WB).
What is the highest statistical performance indicators (spi): pillar 4 data sources score recorded in Togo?
The highest recorded value was 44.25 scale 0-100 in 2020.
What is the lowest statistical performance indicators (spi): pillar 4 data sources score recorded in Togo?
The lowest recorded value was 32.04 scale 0-100 in 2016.
How does Togo rank for statistical performance indicators (spi): pillar 4 data sources score?
Togo ranks 134th out of 182 countries with data for 2024.
Is statistical performance indicators (spi): pillar 4 data sources score rising or falling in Togo?
Over the last ten years it is up 29.6%. The long-run trend across the full record is rising.
Where does this Togo data come from?
The figures come from Statistical Performance Indicators, World Bank (WB), published as part of Statistical performance indicators (SPI): Pillar 4 data sources 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 4 data sources 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
186 places, 1,766 data points, 2015–2024
Last refreshed

The data sources overall score is a composite measure of whether countries have data available from the following sources: Censuses and surveys, administrative data, geospatial data, and private sector/citizen generated data. The data sources (input) pillar is segmented by four types of sources generated by (i) the statistical office (censuses and surveys), and sources accessed from elsewhere such as (ii) administrative data, (iii) geospatial data, and (iv) private sector data and citizen generated 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). This type of linkage is inherent in the data cycle approach and can help highlight areas for investment required if country needs are to be met.