Trading across borders: Time to export (days) (DB06-15 methodology) in Croatia
Croatia: Trading across borders: Time to export (days) (DB06-15 methodology) was 79.17 in 2014. ▲ Rising
Trading across borders: Time to export (days) (DB06-15 methodology) in Croatia, 2005–2014
Source: World Bank.
Analysis
Croatia recorded 79.17 for trading across borders: time to export (days) (db06-15 methodology) in 2014. That is the highest value across all 10 years on record.
Compared with earlier readings it is up 5.6% on the previous year and up 35.7% over ten years.
Over the whole period, trading across borders: time to export (days) (db06-15 methodology) in Croatia peaked at 79.17 in 2014 and was at its lowest, 58.33, in 2005.
That places Croatia 76th out of 184 countries with data for 2014, putting it in the middle of the range.
Trading across borders: Time to export (days) (DB06-15 methodology) in Croatia, year by year
| Year | Value | Change |
|---|---|---|
| 2005 | 58.33 | — |
| 2006 | 58.33 | +0.0% |
| 2007 | 66.67 | +14.3% |
| 2008 | 70.83 | +6.2% |
| 2009 | 70.83 | +0.0% |
| 2010 | 70.83 | +0.0% |
| 2011 | 70.83 | +0.0% |
| 2012 | 70.83 | +0.0% |
| 2013 | 75 | +5.9% |
| 2014 | 79.17 | +5.6% |
Croatia compared with similar countries
- Croatia's 79.17 is below the median for high income countries, which is 91.67, 86% of the median. (59 countries reporting)
- Croatia's 79.17 is below the median for Europe & Central Asia, which is 84.38, 94% of the median. (48 countries reporting)
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 65 | 58.33 | 70.83 | 5 |
| 2010s | 73.33 | 70.83 | 79.17 | 5 |
Countries ranked near Croatia
- 76 Antigua and Barbuda 79.17 compare
- 76 Armenia 79.17 compare
- 76 Bosnia and Herzegovina 79.17 compare
- 76 Seychelles 79.17 compare
- 76 Slovakia 79.17 compare
- 76 Slovenia 79.17 compare
- 76 South Africa 79.17 compare
- 76 Sri Lanka 79.17 compare
- 76 Tunisia 79.17 compare
More reference data data for Croatia
- Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 0.2598 (2050)
- Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 0.1516 (2050)
- Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 1.85 (2050)
- Emission Totals - Indirect emissions (N2O) - Crop Residues 0.1326 (2050)
- Emission Totals - Indirect emissions (N2O) - Agricultural Soils 1.85 (2050)
- Emission Totals - Emissions (N2O) - Manure applied to Soils 0.8711 (2050)
- Emission Totals - Emissions (N2O) - Manure Management 0.5399 (2050)
- Emission Totals - Emissions (N2O) - Manure left on Pasture 0.6476 (2050)
- Emission Totals - Emissions (N2O) - IPCC Agriculture 8.13 (2050)
- Emission Totals - Emissions (N2O) - Crop Residues 0.7218 (2050)
Frequently asked questions
- What is trading across borders: time to export (days) (db06-15 methodology) in Croatia?
- Trading across borders: time to export (days) (db06-15 methodology) in Croatia was 79.17 in 2014, according to the World Bank.
- What is the highest trading across borders: time to export (days) (db06-15 methodology) recorded in Croatia?
- The highest recorded value was 79.17 in 2014.
- What is the lowest trading across borders: time to export (days) (db06-15 methodology) recorded in Croatia?
- The lowest recorded value was 58.33 in 2005.
- How does Croatia rank for trading across borders: time to export (days) (db06-15 methodology)?
- Croatia ranks 76th out of 184 countries with data for 2014.
- Is trading across borders: time to export (days) (db06-15 methodology) rising or falling in Croatia?
- Over the last ten years it is up 35.7%. The long-run trend across the full record is rising.
- Where does this Croatia data come from?
- The figures come from the World Bank, published as part of Trading across borders: Time to export (days) (DB06-15 methodology) - Score. Statizoid updates them automatically from the source API.
Download this data
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About this data
The score for the time to export benchmarks economies with respect to the regulatory best practice on the indicator. The score ranges 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 DB06-15 studies.