Statistical performance indicators (SPI): Pillar 1 data use score in Palestine, State of
Palestine, State of: Statistical performance indicators (SPI): Pillar 1 data use score was 70 scale 0-100 in 2024. ▲ Rising
Statistical performance indicators (SPI): Pillar 1 data use score in Palestine, State of, 2004–2024
Source: Statistical Performance Indicators, World Bank (WB). Measured in scale 0-100.
Analysis
The most recent figure for statistical performance indicators (spi): pillar 1 data use score in Palestine, State of is 70 scale 0-100, measured in 2024. That is the highest value across all 21 years on record.
That represents a change of up 75.0% over ten years.
Over the whole period, statistical performance indicators (spi): pillar 1 data use score in Palestine, State of peaked at 70 scale 0-100 in 2017 and was at its lowest, 20 scale 0-100, in 2004.
That places Palestine, State of 126th out of 216 countries with data for 2024, putting it in the middle of the range.
The long-run direction has been consistently rising across the 21 years of available data.
Statistical performance indicators (SPI): Pillar 1 data use score in Palestine, State of, year by year
| Year | scale 0-100 | Change |
|---|---|---|
| 2004 | 20 scale 0-100 | — |
| 2005 | 40 scale 0-100 | +100.0% |
| 2006 | 40 scale 0-100 | +0.0% |
| 2007 | 40 scale 0-100 | +0.0% |
| 2008 | 40 scale 0-100 | +0.0% |
| 2009 | 40 scale 0-100 | +0.0% |
| 2010 | 40 scale 0-100 | +0.0% |
| 2011 | 40 scale 0-100 | +0.0% |
| 2012 | 40 scale 0-100 | +0.0% |
| 2013 | 40 scale 0-100 | +0.0% |
| 2014 | 40 scale 0-100 | +0.0% |
| 2015 | 60 scale 0-100 | +50.0% |
| 2016 | 60 scale 0-100 | +0.0% |
| 2017 | 70 scale 0-100 | +16.7% |
| 2018 | 70 scale 0-100 | +0.0% |
| 2019 | 70 scale 0-100 | +0.0% |
| 2020 | 70 scale 0-100 | +0.0% |
| 2021 | 70 scale 0-100 | +0.0% |
| 2022 | 60 scale 0-100 | -14.3% |
| 2023 | 70 scale 0-100 | +16.7% |
| 2024 | 70 scale 0-100 | +0.0% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 36.67 scale 0-100 | 20 scale 0-100 | 40 scale 0-100 | 6 |
| 2010s | 53 scale 0-100 | 40 scale 0-100 | 70 scale 0-100 | 10 |
| 2020s | 68 scale 0-100 | 60 scale 0-100 | 70 scale 0-100 | 5 |
Countries ranked near Palestine, State of
- 124 Russian Federation 76.6 scale 0-100 compare
- 125 China 73.4 scale 0-100 compare
- 126 Bahamas 70 scale 0-100 compare
- 126 Bhutan 70 scale 0-100 compare
- 126 Bosnia and Herzegovina 70 scale 0-100 compare
- 126 Cameroon 70 scale 0-100 compare
- 126 Ghana 70 scale 0-100 compare
- 126 Madagascar 70 scale 0-100 compare
- 126 Maldives 70 scale 0-100 compare
- 126 Myanmar 70 scale 0-100 compare
- 126 Naoero 70 scale 0-100 compare
- 126 Oman 70 scale 0-100 compare
- 126 Palau 70 scale 0-100 compare
- 126 Paraguay 70 scale 0-100 compare
- 126 San Marino 70 scale 0-100 compare
- 126 Sierra Leone 70 scale 0-100 compare
- 126 Trinidad and Tobago 70 scale 0-100 compare
- 126 Uganda 70 scale 0-100 compare
More public sector data for Palestine, State of
- 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 0 (2020)
- Armed forces personnel 0.0% (2020)
- Expense 4.74 billion current LCU (2021)
- Intentional homicides 0.622 per 100,000 people (2022)
- Statistical performance indicators (SPI): Pillar 3 data products score 71.47 scale 0-100 (2024)
Frequently asked questions
- What is statistical performance indicators (spi): pillar 1 data use score in Palestine, State of?
- Statistical performance indicators (spi): pillar 1 data use score in Palestine, State of was 70 scale 0-100 in 2024, according to Statistical Performance Indicators, World Bank (WB).
- What is the highest statistical performance indicators (spi): pillar 1 data use score recorded in Palestine, State of?
- The highest recorded value was 70 scale 0-100 in 2017.
- What is the lowest statistical performance indicators (spi): pillar 1 data use score recorded in Palestine, State of?
- The lowest recorded value was 20 scale 0-100 in 2004.
- How does Palestine, State of rank for statistical performance indicators (spi): pillar 1 data use score?
- Palestine, State of ranks 126th out of 216 countries with data for 2024.
- Is statistical performance indicators (spi): pillar 1 data use score rising or falling in Palestine, State of?
- Over the last ten years it is up 75.0%. The long-run trend across the full record is rising.
- Where does this Palestine, State of data come from?
- The figures come from Statistical Performance Indicators, World Bank (WB), published as part of Statistical performance indicators (SPI): Pillar 1 data use score (scale 0-100). Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 21 observations, free to reuse under CC BY 4.0 (World Bank Open Data).
About this data
The data use overall score is a composite score measuring the demand side of the statistical system. The data use pillar is segmented by five types of users: (i) the legislature, (ii) the executive branch, (iii) civil society (including sub-national actors), (iv) academia and (v) international bodies. Each dimension would have associated indicators to measure performance. A mature system would score well across all dimensions whereas a less mature one would have weaker scores along certain dimensions. The gaps would give insights into prioritization among user groups and help answer questions as to why the existing services are not resulting in higher use of national statistics in a particular segment. Currently, the SPI only features indicators for one of the five dimensions of data use, which is data use by international organizations. Indicators on whether statistical systems are providing useful data to their national governments (legislature and executive branches), to civil society, and to academia are absent. Thus the dashboard does not yet assess if national statistical systems are meeting the data needs of a large swathe of users.