Statistical performance indicators (SPI): Pillar 5 data infrastructure in Eswatini
Eswatini: Statistical performance indicators (SPI): Pillar 5 data infrastructure was 55 scale 0-100 in 2024. ▲ Rising
Statistical performance indicators (SPI): Pillar 5 data infrastructure in Eswatini, 2016–2024
Source: Statistical Performance Indicators, World Bank (WB). Measured in scale 0-100.
Analysis
In 2024, statistical performance indicators (spi): pillar 5 data infrastructure in Eswatini stood at 55 scale 0-100.
The figure is down 8.3% on the previous year and up 57.1% over ten years.
Over the whole period, statistical performance indicators (spi): pillar 5 data infrastructure in Eswatini peaked at 65 scale 0-100 in 2021 and was at its lowest, 35 scale 0-100, in 2016.
Eswatini ranks 116th of 191 countries on this measure, in the middle of the range.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 37.5 scale 0-100 | 35 scale 0-100 | 40 scale 0-100 | 4 |
| 2020s | 56 scale 0-100 | 40 scale 0-100 | 65 scale 0-100 | 5 |
Countries ranked near Eswatini
- 116 Afghanistan 55 scale 0-100 compare
- 116 Antigua and Barbuda 55 scale 0-100 compare
- 116 Belize 55 scale 0-100 compare
- 116 Cape Verde 55 scale 0-100 compare
- 116 China 55 scale 0-100 compare
- 116 Ghana 55 scale 0-100 compare
- 116 Guinea 55 scale 0-100 compare
- 116 Haiti 55 scale 0-100 compare
- 116 Jamaica 55 scale 0-100 compare
- 116 Lesotho 55 scale 0-100 compare
- 116 Malawi 55 scale 0-100 compare
- 116 Mozambique 55 scale 0-100 compare
- 116 Nicaragua 55 scale 0-100 compare
- 116 Oman 55 scale 0-100 compare
- 116 Palau 55 scale 0-100 compare
- 116 Sierra Leone 55 scale 0-100 compare
- 116 Saint Lucia 55 scale 0-100 compare
- 116 Suriname 55 scale 0-100 compare
- 116 Tanzania 55 scale 0-100 compare
- 116 East Timor 55 scale 0-100 compare
More public sector data for Eswatini
- Tax revenue 24.3% (2021)
- Taxes on income, profits and capital gains 34.4% (2021)
- Taxes on goods and services 25.8% (2021)
- Net investment in nonfinancial assets 5.3% (2021)
- Net lending (+) / net borrowing (-) -4.6% (2021)
- Interest payments 7.4% (2021)
- Grants and other revenue 3.8% (2021)
- Interest payments 7.6% (2021)
- Other taxes 0.5% (2021)
- Compensation of employees 47.0% (2021)
Frequently asked questions
- What is statistical performance indicators (spi): pillar 5 data infrastructure in Eswatini?
- Statistical performance indicators (spi): pillar 5 data infrastructure in Eswatini was 55 scale 0-100 in 2024, according to Statistical Performance Indicators, World Bank (WB).
- What is the highest statistical performance indicators (spi): pillar 5 data infrastructure recorded in Eswatini?
- The highest recorded value was 65 scale 0-100 in 2021.
- What is the lowest statistical performance indicators (spi): pillar 5 data infrastructure recorded in Eswatini?
- The lowest recorded value was 35 scale 0-100 in 2016.
- How does Eswatini rank for statistical performance indicators (spi): pillar 5 data infrastructure?
- Eswatini ranks 116th out of 191 countries with data for 2024.
- Is statistical performance indicators (spi): pillar 5 data infrastructure rising or falling in Eswatini?
- Over the last ten years it is up 57.1%. The long-run trend across the full record is rising.
- 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 5 data infrastructure score (scale 0-100). Statizoid updates them automatically from the source API.
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About this data
The data infrastructure pillar overall score measures the hard and soft infrastructure segments, itemizing essential cross cutting requirements for an effective statistical system. The segments are: (i) legislation and governance covering the existence of laws and a functioning institutional framework for the statistical system; (ii) standards and methods addressing compliance with recognized frameworks and concepts; (iii) skills including level of skills within the statistical system and among users (statistical literacy); (iv) partnerships reflecting the need for the statistical system to be inclusive and coherent; and (v) finance mobilized both domestically and from donors.