Trading across borders: Cost to import (US$ per container)(DB06-15) in Botswana
Botswana: Trading across borders: Cost to import (US$ per container)(DB06-15) was 40.66 in 2014. ▲ Rising
Trading across borders: Cost to import (US$ per container)(DB06-15) in Botswana, 2005–2014
Source: World Bank.
Analysis
The most recent figure for trading across borders: cost to import (us$ per container)(db06-15) in Botswana is 40.66, measured in 2014.
The figure is up 5.3% on the previous year and up 162.6% over ten years.
Over the whole period, trading across borders: cost to import (us$ per container)(db06-15) in Botswana peaked at 40.77 in 2012 and was at its lowest, 15.49, in 2005.
That places Botswana 168th out of 184 countries with data for 2014, putting it in the bottom quarter.
Trading across borders: Cost to import (US$ per container)(DB06-15) in Botswana, year by year
| Year | Value | Change |
|---|---|---|
| 2005 | 15.49 | — |
| 2006 | 27.69 | +78.8% |
| 2007 | 33.44 | +20.8% |
| 2008 | 23.98 | -28.3% |
| 2009 | 25.65 | +7.0% |
| 2010 | 25.32 | -1.3% |
| 2011 | 37.64 | +48.7% |
| 2012 | 40.77 | +8.3% |
| 2013 | 38.6 | -5.3% |
| 2014 | 40.66 | +5.3% |
Botswana compared with similar countries
- Botswana's 40.66 is below the median for upper middle income countries, which is 79.55, 51% of the median. (55 countries reporting)
- Botswana's 40.66 is below the median for Sub-Saharan Africa, which is 70.57, 58% of the median. (46 countries reporting)
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 25.25 | 15.49 | 33.44 | 5 |
| 2010s | 36.6 | 25.32 | 40.77 | 5 |
Countries ranked near Botswana
- 165 Azerbaijan 45.28 compare
- 166 Iraq 41.73 compare
- 167 Venezuela 40.93 compare
- 169 Democratic Republic of Congo 30.36 compare
- 170 Burkina Faso 29.65 compare
- 171 Burundi 28.06 compare
More reference data data for Botswana
- Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 0.0472 (2050)
- Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 1.37 (2050)
- Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 1.42 (2050)
- Emission Totals - Indirect emissions (N2O) - Crop Residues 0.0078 (2050)
- Emission Totals - Indirect emissions (N2O) - Agricultural Soils 1.42 (2050)
- Emission Totals - Emissions (N2O) - Manure applied to Soils 0.1582 (2050)
- Emission Totals - Emissions (N2O) - Manure Management 0.0825 (2050)
- Emission Totals - Emissions (N2O) - Manure left on Pasture 6.97 (2050)
- Emission Totals - Emissions (N2O) - IPCC Agriculture 7.25 (2050)
- Emission Totals - Emissions (N2O) - Crop Residues 0.0424 (2050)
Frequently asked questions
- What is trading across borders: cost to import (us$ per container)(db06-15) in Botswana?
- Trading across borders: cost to import (us$ per container)(db06-15) in Botswana was 40.66 in 2014, according to the World Bank.
- What is the highest trading across borders: cost to import (us$ per container)(db06-15) recorded in Botswana?
- The highest recorded value was 40.77 in 2012.
- What is the lowest trading across borders: cost to import (us$ per container)(db06-15) recorded in Botswana?
- The lowest recorded value was 15.49 in 2005.
- How does Botswana rank for trading across borders: cost to import (us$ per container)(db06-15)?
- Botswana ranks 168th out of 184 countries with data for 2014.
- Is trading across borders: cost to import (us$ per container)(db06-15) rising or falling in Botswana?
- Over the last ten years it is up 162.6%. The long-run trend across the full record is rising.
- Where does this Botswana data come from?
- The figures come from the World Bank, published as part of Trading across borders: Cost to import (US$ per container)(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 cost to import 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.