Statistical performance indicators (SPI): Pillar 5 data infrastructure in Palau
Palau: 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 Palau, 2016–2024
Source: Statistical Performance Indicators, World Bank (WB). Measured in scale 0-100.
Analysis
Palau recorded 55 scale 0-100 for statistical performance indicators (spi): pillar 5 data infrastructure in 2024. That is the highest value across all 9 years on record.
That represents a change of up 10.0% on the previous year and up 266.7% over ten years.
Over the whole period, statistical performance indicators (spi): pillar 5 data infrastructure in Palau peaked at 55 scale 0-100 in 2024 and was at its lowest, 15 scale 0-100, in 2016.
That places Palau 115th out of 190 countries with data for 2024, putting it in the middle of the range.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 22.5 scale 0-100 | 15 scale 0-100 | 40 scale 0-100 | 4 |
| 2020s | 45 scale 0-100 | 40 scale 0-100 | 55 scale 0-100 | 5 |
Countries ranked near Palau
- 115 Afghanistan 55 scale 0-100 compare
- 115 Antigua and Barbuda 55 scale 0-100 compare
- 115 Belize 55 scale 0-100 compare
- 115 Cape Verde 55 scale 0-100 compare
- 115 China 55 scale 0-100 compare
- 115 Eswatini 55 scale 0-100 compare
- 115 Ghana 55 scale 0-100 compare
- 115 Guinea 55 scale 0-100 compare
- 115 Haiti 55 scale 0-100 compare
- 115 Jamaica 55 scale 0-100 compare
- 115 Lesotho 55 scale 0-100 compare
- 115 Malawi 55 scale 0-100 compare
- 115 Mozambique 55 scale 0-100 compare
- 115 Nicaragua 55 scale 0-100 compare
- 115 Oman 55 scale 0-100 compare
- 115 Sierra Leone 55 scale 0-100 compare
- 115 Saint Lucia 55 scale 0-100 compare
- 115 Suriname 55 scale 0-100 compare
- 115 Tanzania 55 scale 0-100 compare
- 115 East Timor 55 scale 0-100 compare
More public sector data for Palau
- Tax revenue 18.1% (2020)
- Taxes on income, profits and capital gains 8.8% (2020)
- Taxes on goods and services 14.2% (2020)
- Net investment in nonfinancial assets 6.4% (2020)
- Net lending (+) / net borrowing (-) -9.5% (2020)
- Interest payments 0.6% (2020)
- Grants and other revenue 63.3% (2020)
- Interest payments 0.5% (2020)
- Other taxes 1.4% (2020)
- Compensation of employees 31.0% (2020)
Frequently asked questions
- What is statistical performance indicators (spi): pillar 5 data infrastructure in Palau?
- Statistical performance indicators (spi): pillar 5 data infrastructure in Palau 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 Palau?
- The highest recorded value was 55 scale 0-100 in 2024.
- What is the lowest statistical performance indicators (spi): pillar 5 data infrastructure recorded in Palau?
- The lowest recorded value was 15 scale 0-100 in 2016.
- How does Palau rank for statistical performance indicators (spi): pillar 5 data infrastructure?
- Palau ranks 115th out of 190 countries with data for 2024.
- Is statistical performance indicators (spi): pillar 5 data infrastructure rising or falling in Palau?
- Over the last ten years it is up 266.7%. The long-run trend across the full record is rising.
- Where does this Palau 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.