Trading across borders: Documents to export (number) (DB06-15 methodol in Sudan
Sudan: Trading across borders: Documents to export (number) (DB06-15 methodol was 44.44 in 2014. ▬ Flat
Trading across borders: Documents to export (number) (DB06-15 methodol in Sudan, 2005–2014
Source: World Bank.
Analysis
In 2014, trading across borders: documents to export (number) (db06-15 methodol in Sudan stood at 44.44. That is the highest value across all 10 years on record.
The figure is unchanged over ten years.
Over the whole period, trading across borders: documents to export (number) (db06-15 methodol in Sudan peaked at 44.44 in 2005 and was at its lowest, 44.44, in 2005.
Sudan ranks 106th of 181 countries on this measure, in the middle of the range.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 44.44 | 44.44 | 44.44 | 5 |
| 2010s | 44.44 | 44.44 | 44.44 | 5 |
Countries ranked near Sudan
- 106 India 44.44 compare
- 106 Albania 44.44 compare
- 106 Benin 44.44 compare
- 106 Bolivia 44.44 compare
- 106 Cape Verde 44.44 compare
- 106 Democratic Republic of Congo 44.44 compare
- 106 Ecuador 44.44 compare
- 106 El Salvador 44.44 compare
- 106 Equatorial Guinea 44.44 compare
- 106 Eswatini 44.44 compare
- 106 Guinea 44.44 compare
- 106 Iran 44.44 compare
- 106 Kuwait 44.44 compare
- 106 Lesotho 44.44 compare
- 106 Maldives 44.44 compare
- 106 Mozambique 44.44 compare
- 106 Oman 44.44 compare
- 106 Papua New Guinea 44.44 compare
- 106 Paraguay 44.44 compare
- 106 Rwanda 44.44 compare
- 106 Sierra Leone 44.44 compare
- 106 Solomon Islands 44.44 compare
- 106 Sri Lanka 44.44 compare
- 106 Saint Lucia 44.44 compare
- 106 Tanzania 44.44 compare
- 106 Turkey 44.44 compare
- 106 Uganda 44.44 compare
- 106 Zambia 44.44 compare
- 106 Zimbabwe 44.44 compare
More reference data data for Sudan
- Emission Totals - Emissions (CO2eq) from N2O (AR5) - Manure applied to 519.4 (2019)
- Emission Totals - Emissions (N2O) - Manure Management 0.8148 (2019)
- Emission Totals - Emissions (N2O) - Burning - Crop residues 0.0139 (2019)
- Emission Totals - Emissions (N2O) - Manure applied to Soils 1.96 (2019)
- Emission Totals - Emissions (N2O) - Agricultural Soils 88.53 (2019)
- Emission Totals - Emissions (CO2eq) from N2O (AR5) - IPCC Agriculture 24,878 (2019)
- Emission Totals - Emissions (CO2eq) from N2O (AR5) - Crop Residues 628.46 (2019)
- Emission Totals - Emissions (CO2eq) from N2O (AR5) - Burning - Crop re 3.68 (2019)
- Emission Totals - Emissions (CO2eq) from N2O (AR5) - Agricultural Soil 23,460 (2019)
- Emission Totals - Emissions (N2O) - Crop Residues 2.37 (2019)
Frequently asked questions
- What is trading across borders: documents to export (number) (db06-15 methodol in Sudan?
- Trading across borders: documents to export (number) (db06-15 methodol in Sudan was 44.44 in 2014, according to the World Bank.
- What is the highest trading across borders: documents to export (number) (db06-15 methodol recorded in Sudan?
- The highest recorded value was 44.44 in 2005.
- What is the lowest trading across borders: documents to export (number) (db06-15 methodol recorded in Sudan?
- The lowest recorded value was 44.44 in 2005.
- How does Sudan rank for trading across borders: documents to export (number) (db06-15 methodol?
- Sudan ranks 106th out of 181 countries with data for 2014.
- Is trading across borders: documents to export (number) (db06-15 methodol rising or falling in Sudan?
- Over the last ten years it is unchanged. The long-run trend across the full record is flat.
- Where does this Sudan data come from?
- The figures come from the World Bank, published as part of Trading across borders: Documents to export (number) (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 number of documents 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.