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

Eswatini: Statistical performance indicators (SPI): Pillar 4 data sources score was 31.17 scale 0-100 in 2024. ▼ Falling

Latest (2024)
31.17 scale 0-100
Change on year
down 9.1%
World rank
160th
of 182 countries
All-time high
39.77 scale 0-100
in 2018
All-time low
31.17 scale 0-100
in 2024
Years of data
10
2015–2024

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

0102030402015201920242015: 31.6 scale 0-1002016: 36.6 scale 0-1002017: 36.6 scale 0-1002018: 39.8 scale 0-1002019: 39.8 scale 0-1002020: 35 scale 0-1002021: 35 scale 0-1002022: 32.6 scale 0-1002023: 34.3 scale 0-1002024: 31.2 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 Eswatini stood at 31.17 scale 0-100. That is the lowest value across all 10 years on record.

That represents a change of down 9.1% on the previous year and down 1.5% over ten years.

Over the whole period, statistical performance indicators (spi): pillar 4 data sources score in Eswatini peaked at 39.77 scale 0-100 in 2018 and was at its lowest, 31.17 scale 0-100, in 2024.

That places Eswatini 160th out of 182 countries with data for 2024, putting it in the bottom quarter.

Averages by decade

DecadeAverage LowestHighest Years
2010s 36.9 scale 0-100 31.65 scale 0-100 39.77 scale 0-100 5
2020s 33.61 scale 0-100 31.17 scale 0-100 35 scale 0-100 5

Countries ranked near Eswatini

  1. 157 Ethiopia 34.34 scale 0-100 compare
  2. 158 Guyana 33.71 scale 0-100 compare
  3. 159 Kiribati 31.92 scale 0-100 compare
  4. 161 Venezuela 30.57 scale 0-100 compare
  5. 162 Gabon 29.78 scale 0-100 compare
  6. 163 Solomon Islands 26.47 scale 0-100 compare

See the full ranking of 186 places →

More public sector data for Eswatini

All data for Eswatini →

Frequently asked questions

What is statistical performance indicators (spi): pillar 4 data sources score in Eswatini?
Statistical performance indicators (spi): pillar 4 data sources score in Eswatini was 31.17 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 Eswatini?
The highest recorded value was 39.77 scale 0-100 in 2018.
What is the lowest statistical performance indicators (spi): pillar 4 data sources score recorded in Eswatini?
The lowest recorded value was 31.17 scale 0-100 in 2024.
How does Eswatini rank for statistical performance indicators (spi): pillar 4 data sources score?
Eswatini ranks 160th out of 182 countries with data for 2024.
Is statistical performance indicators (spi): pillar 4 data sources score rising or falling in Eswatini?
Over the last ten years it is down 1.5%. The long-run trend across the full record is falling.
Where does this Eswatini 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.

Download this data

CSV · JSON — 10 observations, free to reuse under CC BY 4.0 (World Bank Open Data).

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.