Getting credit (DB05-14 methodology) - Score in Palestine
Palestine: Getting credit (DB05-14 methodology) - Score was 37.5 in 2013. ◆ Volatile
Getting credit (DB05-14 methodology) - Score in Palestine, 2004–2013
Source: World Bank.
Analysis
In 2013, getting credit (db05-14 methodology) - score in Palestine 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 peaked at 37.5 in 2013 and was at its lowest, 6.25, in 2004.
That places Palestine 139th out of 184 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, 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% |
Palestine compared with similar countries
- Palestine's 37.5 is below the median for lower middle income countries, which is 43.75, 86% of the median. (46 countries reporting)
- Palestine's 37.5 is below the median for Middle East, North Africa, Afghanistan & Pakistan, which is 43.75, 86% of the median. (21 countries reporting)
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
- 139 Bangladesh 37.5 compare
- 139 Benin 37.5 compare
- 139 Bolivia 37.5 compare
- 139 Burkina Faso 37.5 compare
- 139 Central African Republic 37.5 compare
- 139 Chad 37.5 compare
- 139 Comoros 37.5 compare
- 139 Democratic Republic of Congo 37.5 compare
- 139 Cote d'Ivoire 37.5 compare
- 139 Equatorial Guinea 37.5 compare
- 139 Guinea 37.5 compare
- 139 Guinea-Bissau 37.5 compare
- 139 Kiribati 37.5 compare
- 139 Lesotho 37.5 compare
- 139 Mali 37.5 compare
- 139 Niger 37.5 compare
- 139 Sao Tome and Principe 37.5 compare
- 139 Senegal 37.5 compare
- 139 Saint Kitts and Nevis 37.5 compare
- 139 Togo 37.5 compare
- 139 Uganda 37.5 compare
More private sector data for Palestine
- 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?
- Getting credit (db05-14 methodology) - score in Palestine was 37.5 in 2013, according to the World Bank.
- What is the highest getting credit (db05-14 methodology) - score recorded in Palestine?
- The highest recorded value was 37.5 in 2013.
- What is the lowest getting credit (db05-14 methodology) - score recorded in Palestine?
- The lowest recorded value was 6.25 in 2004.
- How does Palestine rank for getting credit (db05-14 methodology) - score?
- Palestine ranks 139th out of 184 countries with data for 2013.
- Is getting credit (db05-14 methodology) - score rising or falling in Palestine?
- Over the last ten years it is up 500.0%. The long-run trend across the full record is volatile.
- Where does this Palestine 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
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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.