Statistical performance: Pillar 5 data infrastructure score in Palestine
Palestine: Statistical performance: Pillar 5 data infrastructure score was 65 scale 0-100 in 2024. ▲ Rising
Statistical performance indicators (SPI): Pillar 5 data in Palestine, 2017–2024
Source: Statistical Performance Indicators, World Bank (WB). Measured in scale 0-100.
Analysis
In 2024, statistical performance indicators (spi): pillar 5 data in Palestine stood at 65 scale 0-100.
Compared with earlier readings it is down 23.5% on the previous year and up 18.2% over ten years.
That places Palestine 93rd out of 192 countries with data for 2024, putting it in the middle of the range.
Statistical performance: Pillar 5 data infrastructure score in Palestine, year by year
| Year | scale 0-100 | Change |
|---|---|---|
| 2017 | 55 scale 0-100 | — |
| 2018 | 60 scale 0-100 | +9.1% |
| 2019 | 60 scale 0-100 | +0.0% |
| 2020 | 70 scale 0-100 | +16.7% |
| 2021 | 85 scale 0-100 | +21.4% |
| 2022 | 85 scale 0-100 | +0.0% |
| 2023 | 85 scale 0-100 | +0.0% |
| 2024 | 65 scale 0-100 | -23.5% |
Palestine compared with similar countries
- Palestine's 65 scale 0-100 is above the median for lower middle income countries, which is 55 scale 0-100, 1.2× the median. (47 countries reporting)
- Palestine's 65 scale 0-100 is above the median for Middle East, North Africa, Afghanistan & Pakistan, which is 60 scale 0-100, 1.1× the median. (23 countries reporting)
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 58.33 scale 0-100 | 55 scale 0-100 | 60 scale 0-100 | 3 |
| 2020s | 78 scale 0-100 | 65 scale 0-100 | 85 scale 0-100 | 5 |
Countries ranked near Palestine
More public sector data for Palestine
- Arms imports 2.00 million SIPRI trend indicator values (2023)
- Arms imports (SIPRI trend indicator values), per capita 0.3872 SIPRI trend indicator values per person (2023)
- Arms imports (SIPRI trend indicator values), per unit of GDP 0.0001 SIPRI trend indicator values per US$ of GDP (2023)
- Arms imports (SIPRI trend indicator values), gaps filled 2.00 million SIPRI trend indicator values (2023)
- Arms imports (SIPRI trend indicator values), per square kilometre 331.95 SIPRI trend indicator values per square kilometre (2023)
- Armed forces personnel, total, gaps filled 0 (2020)
- Armed forces personnel, total 0 (2020)
- Armed forces personnel, total, per capita 0 units per person (2020)
- Armed forces personnel, total, per unit of GDP 0 units per US$ of GDP (2020)
- Armed forces personnel, total, per square kilometre 0 units per square kilometre (2020)
Frequently asked questions
- What is statistical performance indicators (spi): pillar 5 data in Palestine?
- Statistical performance indicators (spi): pillar 5 data in Palestine was 65 scale 0-100 in 2024, according to Statistical Performance Indicators, World Bank (WB).
- What is the highest statistical performance indicators (spi): pillar 5 data recorded in Palestine?
- The highest recorded value was 85 scale 0-100 in 2021.
- What is the lowest statistical performance indicators (spi): pillar 5 data recorded in Palestine?
- The lowest recorded value was 55 scale 0-100 in 2017.
- How does Palestine rank for statistical performance indicators (spi): pillar 5 data?
- Palestine ranks 93rd out of 192 countries with data for 2024.
- Is statistical performance indicators (spi): pillar 5 data rising or falling in Palestine?
- Over the last ten years it is up 18.2%. The long-run trend across the full record is rising.
- Where does this Palestine 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.