Trading across borders: Time to export (days) … days DB06-15 export in Zimbabwe
Zimbabwe: Trading across borders: Time to export (days) … days DB06-15 export was 2.08 in 2014. ▼ Falling
Trading across borders: Time to export (days) (DB06-15 methodology) in Zimbabwe, 2005–2014
Source: World Bank.
Analysis
Zimbabwe recorded 2.08 for trading across borders: time to export (days) (db06-15 methodology) in 2014. That is the lowest value across all 10 years on record.
Compared with earlier readings it is down 50.0% over ten years.
Over the whole period, trading across borders: time to export (days) (db06-15 methodology) in Zimbabwe peaked at 4.17 in 2005 and was at its lowest, 2.08, in 2008.
That places Zimbabwe 175th out of 184 countries with data for 2014, putting it in the bottom quarter.
Trading across borders: Time to export (days) … days DB06-15 export in Zimbabwe, year by year
| Year | Value | Change |
|---|---|---|
| 2005 | 4.17 | — |
| 2006 | 4.17 | +0.0% |
| 2007 | 4.17 | +0.0% |
| 2008 | 2.08 | -50.0% |
| 2009 | 2.08 | +0.0% |
| 2010 | 2.08 | +0.0% |
| 2011 | 2.08 | +0.0% |
| 2012 | 2.08 | +0.0% |
| 2013 | 2.08 | +0.0% |
| 2014 | 2.08 | +0.0% |
Zimbabwe compared with similar countries
- Zimbabwe's 2.08 is below the median for lower middle income countries, which is 63.54, 3% of the median. (46 countries reporting)
- Zimbabwe's 2.08 is below the median for Sub-Saharan Africa, which is 58.33, 4% of the median. (46 countries reporting)
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 3.33 | 2.08 | 4.17 | 5 |
| 2010s | 2.08 | 2.08 | 2.08 | 5 |
Countries ranked near Zimbabwe
- 172 Congo 8.33 compare
- 172 Eritrea 8.33 compare
- 174 Zambia 6.25 compare
- 176 Afghanistan 0
- 176 Chad 0
- 176 Iraq 0
- 176 Kazakhstan 0
- 176 Kyrgyzstan 0
- 176 Niger 0
- 176 Tajikistan 0
- 176 Uzbekistan 0
- 176 Venezuela 0 compare
More reference data data for Zimbabwe
- Spring temperature anomalies -0.1903 (2026)
- Autumn temperature anomalies 0.2726 (2026)
- Summer temperature anomalies 0.8086 (2026)
- Country level monthly temperature anomalies -0.5886 (2026)
- Exchange rate, new LCU per USD extended backward, period average 58,959 (2026)
- Exchange rate, old LCU per USD extended forward, period average 58,959 (2026)
- Official exchange rate, LCU per USD, period average 58,959 (2026)
- Urban area long term, annual growth rate 1.8 % change on previous year (2025)
- Urban area long term, per unit of GDP 0 units per US$ of GDP (2025)
- Urban area long term, per capita 0.0002 units per person (2025)
Frequently asked questions
- What is trading across borders: time to export (days) (db06-15 methodology) in Zimbabwe?
- Trading across borders: time to export (days) (db06-15 methodology) in Zimbabwe was 2.08 in 2014, according to the World Bank.
- What is the highest trading across borders: time to export (days) (db06-15 methodology) recorded in Zimbabwe?
- The highest recorded value was 4.17 in 2005.
- What is the lowest trading across borders: time to export (days) (db06-15 methodology) recorded in Zimbabwe?
- The lowest recorded value was 2.08 in 2008.
- How does Zimbabwe rank for trading across borders: time to export (days) (db06-15 methodology)?
- Zimbabwe ranks 175th out of 184 countries with data for 2014.
- Is trading across borders: time to export (days) (db06-15 methodology) rising or falling in Zimbabwe?
- Over the last ten years it is down 50.0%. The long-run trend across the full record is falling.
- Where does this Zimbabwe 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
CSV · JSON — 10 observations, free to reuse under CC BY 4.0 (World Bank Open Data).
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.