Statistical performance indicators (SPI): Pillar 5 data infrastructure in Paraguay
Paraguay: Statistical performance indicators (SPI): Pillar 5 data infrastructure was 80 scale 0-100 in 2024. ▲ Rising
Statistical performance indicators (SPI): Pillar 5 data infrastructure in Paraguay, 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 Paraguay stood at 80 scale 0-100. That is the highest value across all 9 years on record.
Compared with earlier readings it is up 6.7% on the previous year and up 77.8% over ten years.
Over the whole period, statistical performance indicators (spi): pillar 5 data infrastructure in Paraguay peaked at 80 scale 0-100 in 2024 and was at its lowest, 40 scale 0-100, in 2017.
Paraguay ranks 50th of 191 countries on this measure, in the middle of the range.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 45 scale 0-100 | 40 scale 0-100 | 55 scale 0-100 | 4 |
| 2020s | 74 scale 0-100 | 65 scale 0-100 | 80 scale 0-100 | 5 |
Countries ranked near Paraguay
- 50 Armenia 80 scale 0-100 compare
- 50 Belgium 80 scale 0-100 compare
- 50 Bosnia and Herzegovina 80 scale 0-100 compare
- 50 Brazil 80 scale 0-100 compare
- 50 Colombia 80 scale 0-100 compare
- 50 Croatia 80 scale 0-100 compare
- 50 Estonia 80 scale 0-100 compare
- 50 Georgia 80 scale 0-100 compare
- 50 Hungary 80 scale 0-100 compare
- 50 Kenya 80 scale 0-100 compare
- 50 Mauritius 80 scale 0-100 compare
- 50 Mexico 80 scale 0-100 compare
- 50 Poland 80 scale 0-100 compare
- 50 Portugal 80 scale 0-100 compare
- 50 Senegal 80 scale 0-100 compare
- 50 Singapore 80 scale 0-100 compare
- 50 United States 80 scale 0-100 compare
More public sector data for Paraguay
- Arms imports 5.00 million SIPRI trend indicator values (2021)
- Tax revenue 11.3% (2024)
- Taxes on income, profits and capital gains 16.5% (2024)
- Taxes on goods and services 36.1% (2024)
- Net investment in nonfinancial assets 2.1% (2024)
- Net lending (+) / net borrowing (-) -2.1% (2024)
- Interest payments 10.3% (2024)
- Grants and other revenue 19.9% (2024)
- Interest payments 8.8% (2023)
- Other taxes 1.2% (2024)
Frequently asked questions
- What is statistical performance indicators (spi): pillar 5 data infrastructure in Paraguay?
- Statistical performance indicators (spi): pillar 5 data infrastructure in Paraguay was 80 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 Paraguay?
- The highest recorded value was 80 scale 0-100 in 2024.
- What is the lowest statistical performance indicators (spi): pillar 5 data infrastructure recorded in Paraguay?
- The lowest recorded value was 40 scale 0-100 in 2017.
- How does Paraguay rank for statistical performance indicators (spi): pillar 5 data infrastructure?
- Paraguay ranks 50th out of 191 countries with data for 2024.
- Is statistical performance indicators (spi): pillar 5 data infrastructure rising or falling in Paraguay?
- Over the last ten years it is up 77.8%. The long-run trend across the full record is rising.
- Where does this Paraguay 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.
Download this data
CSV · JSON — 9 observations, free to reuse under CC BY 4.0 (World Bank Open Data).
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.