Statistical performance indicators (SPI): Pillar 5 data infrastructure in Liberia
Liberia: Statistical performance indicators (SPI): Pillar 5 data infrastructure was 60 scale 0-100 in 2024. ▲ Rising
Statistical performance indicators (SPI): Pillar 5 data infrastructure in Liberia, 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 Liberia stood at 60 scale 0-100. That is the highest value across all 9 years on record.
The figure is up 140.0% over ten years.
Over the whole period, statistical performance indicators (spi): pillar 5 data infrastructure in Liberia peaked at 60 scale 0-100 in 2022 and was at its lowest, 25 scale 0-100, in 2016.
Liberia ranks 101st of 191 countries on this measure, in the middle of the range.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 31.25 scale 0-100 | 25 scale 0-100 | 45 scale 0-100 | 4 |
| 2020s | 55 scale 0-100 | 40 scale 0-100 | 60 scale 0-100 | 5 |
Countries ranked near Liberia
- 101 Barbados 60 scale 0-100 compare
- 101 Botswana 60 scale 0-100 compare
- 101 El Salvador 60 scale 0-100 compare
- 101 Honduras 60 scale 0-100 compare
- 101 Kuwait 60 scale 0-100 compare
- 101 Maldives 60 scale 0-100 compare
- 101 Mauritania 60 scale 0-100 compare
- 101 Myanmar 60 scale 0-100 compare
- 101 Nigeria 60 scale 0-100 compare
- 101 Pakistan 60 scale 0-100 compare
- 101 Panama 60 scale 0-100 compare
- 101 Sri Lanka 60 scale 0-100 compare
- 101 Tunisia 60 scale 0-100 compare
- 101 Zimbabwe 60 scale 0-100 compare
More public sector data for Liberia
- Arms imports 0 SIPRI trend indicator values (2022)
- Military expenditure 0.7% (2024)
- Military expenditure 33.83 million current USD (2024)
- Armed forces personnel, total 2,000 (2020)
- Armed forces personnel 0.1% (2020)
- Statistical performance indicators (SPI): Pillar 1 data use score 60 scale 0-100 (2024)
- Intentional homicides 3.09 per 100,000 people (2012)
- Statistical performance indicators (SPI): Pillar 3 data products score 71.62 scale 0-100 (2024)
- Military expenditure 33.83 million current LCU (2024)
- Proportion of seats held by women in national parliaments 11.0% (2025)
Frequently asked questions
- What is statistical performance indicators (spi): pillar 5 data infrastructure in Liberia?
- Statistical performance indicators (spi): pillar 5 data infrastructure in Liberia was 60 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 Liberia?
- The highest recorded value was 60 scale 0-100 in 2022.
- What is the lowest statistical performance indicators (spi): pillar 5 data infrastructure recorded in Liberia?
- The lowest recorded value was 25 scale 0-100 in 2016.
- How does Liberia rank for statistical performance indicators (spi): pillar 5 data infrastructure?
- Liberia ranks 101st out of 191 countries with data for 2024.
- Is statistical performance indicators (spi): pillar 5 data infrastructure rising or falling in Liberia?
- Over the last ten years it is up 140.0%. The long-run trend across the full record is rising.
- Where does this Liberia 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.