Getting credit (DB05-14 methodology) - Score in Palestine, State of
Palestine, State of: Getting credit (DB05-14 methodology) - Score was 37.5 in 2013. ◆ Volatile
Getting credit (DB05-14 methodology) - Score in Palestine, State of, 2004–2013
Source: World Bank.
Analysis
In 2013, getting credit (db05-14 methodology) - score in Palestine, State of stood at 37.5. That is the highest value across all 10 years on record.
That represents a change of up 20.0% on the previous year and up 500.0% over ten years.
Over the whole period, getting credit (db05-14 methodology) - score in Palestine, State of peaked at 37.5 in 2013 and was at its lowest, 6.25, in 2004.
That places Palestine, State of 138th out of 183 countries with data for 2013, putting it in the bottom quarter.
The series is highly variable year to year, so single readings are best treated with caution.
Getting credit (DB05-14 methodology) - Score in Palestine, State of, year by year
| Year | Value | Change |
|---|---|---|
| 2004 | 6.25 | — |
| 2005 | 6.25 | +0.0% |
| 2006 | 6.25 | +0.0% |
| 2007 | 6.25 | +0.0% |
| 2008 | 25 | +300.0% |
| 2009 | 25 | +0.0% |
| 2010 | 25 | +0.0% |
| 2011 | 25 | +0.0% |
| 2012 | 31.25 | +25.0% |
| 2013 | 37.5 | +20.0% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 12.5 | 6.25 | 25 | 6 |
| 2010s | 29.69 | 25 | 37.5 | 4 |
Countries ranked near Palestine, State of
- 138 Bangladesh 37.5 compare
- 138 Benin 37.5 compare
- 138 Bolivia, Plurinational State of 37.5 compare
- 138 Burkina Faso 37.5 compare
- 138 Central African Republic 37.5 compare
- 138 Chad 37.5 compare
- 138 Comoros 37.5 compare
- 138 Congo, Democratic Republic of the 37.5 compare
- 138 Côte d'Ivoire 37.5 compare
- 138 Equatorial Guinea 37.5 compare
- 138 Guinea 37.5 compare
- 138 Guinea-Bissau 37.5 compare
- 138 Kiribati 37.5 compare
- 138 Lesotho 37.5 compare
- 138 Mali 37.5 compare
- 138 Niger 37.5 compare
- 138 Sao Tome and Principe 37.5 compare
- 138 Senegal 37.5 compare
- 138 Saint Kitts and Nevis 37.5 compare
- 138 Togo 37.5 compare
- 138 Uganda 37.5 compare
More private sector data for Palestine, State of
- Food imports 30.9% (2023)
- Manufactures imports 45.9% (2023)
- Food exports 21.4% (2023)
- Manufactures exports 63.3% (2023)
- Commercial service exports (current US$), per capita 103.2 current US$ per person (2025)
- Commercial service exports 558.70 million current US$ (2025)
- Commercial service exports (current US$), per unit of GDP 0.0325 current US$ per US$ of GDP (2025)
- Transport services 47.1% (2025)
- Commercial service imports (current US$), per capita 227.75 current US$ per person (2025)
- Computer, communications and other services 8.6% (2025)
Frequently asked questions
- What is getting credit (db05-14 methodology) - score in Palestine, State of?
- Getting credit (db05-14 methodology) - score in Palestine, State of was 37.5 in 2013, according to the World Bank.
- What is the highest getting credit (db05-14 methodology) - score recorded in Palestine, State of?
- The highest recorded value was 37.5 in 2013.
- What is the lowest getting credit (db05-14 methodology) - score recorded in Palestine, State of?
- The lowest recorded value was 6.25 in 2004.
- How does Palestine, State of rank for getting credit (db05-14 methodology) - score?
- Palestine, State of ranks 138th out of 183 countries with data for 2013.
- Is getting credit (db05-14 methodology) - score rising or falling in Palestine, State of?
- Over the last ten years it is up 500.0%. The long-run trend across the full record is volatile.
- Where does this Palestine, State of data come from?
- The figures come from the World Bank, published as part of Getting credit (DB05-14 methodology) - Score. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 10 observations, free to reuse under CC BY 4.0 (World Bank Open Data).
About this data
The score for getting credit benchmarks economies with respect to the regulatory best practice on the indicator set. The score is indicated on a scale from 0 to 100, where 0 represents the worst regulatory performance and 100 the best regulatory performance, and is computed based on the methodology in the DB05-14 studies.