Is trading across borders: cost to export: border compliance (usd) (db16 rising or falling in Niger?

Over the last ten years it is unchanged. The long-run trend across the full record is flat.

Where does this Niger data come from?

The figures come from the World Bank, published as part of Trading across borders: Cost to export: Border compliance (USD) (DB16-20 methodology) - Score. Statizoid updates them automatically from the source API.

Trading across borders: Cost to export: Border compliance (USD) (DB16 in Niger

Name: Trading across borders: Cost to export: Border compliance (USD) (DB16 in Niger
Creator: World Bank
License: CC BY 4.0 (World Bank Open Data)

Niger: Trading across borders: Cost to export: Border compliance (USD) (DB16 was 63.13 in 2019. ▬ Flat

Latest (2019)

63.13

Change on year

unchanged

World rank

116th

of 188 countries

All-time high

63.13

in 2014

All-time low

63.13

in 2014

Years of data

2014–2019

Trading across borders: Cost to export: Border compliance (USD) (DB16 in Niger, 2014–2019

Source: World Bank.

Analysis

Niger recorded 63.13 for trading across borders: cost to export: border compliance (usd) (db16 in 2019. That is the highest value across all 6 years on record.

Compared with earlier readings it is unchanged over ten years.

Niger ranks 116th of 188 countries on this measure, in the middle of the range.

Countries ranked near Niger

113 Gambia 64.1 compare
114 Qatar 63.99 compare
115 Puerto Rico 63.61 compare
117 Mexico 62.26 compare
118 Bangladesh 61.49 compare
119 Iran 60.81 compare

See the full ranking of 190 places →

More reference data data for Niger

Emission Totals - Emissions (N2O) - Crop Residues 3.1 (2050)
Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 8.66 (2050)
Emission Totals - Emissions (N2O) - Agricultural Soils 42.42 (2050)
Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 0.2425 (2050)
Emission Totals - Emissions (N2O) - Manure applied to Soils 0.8132 (2050)
Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 9.7 (2050)
Emission Totals - Emissions (N2O) - Burning - Crop residues 0.0079 (2050)
Emission Totals - Emissions (N2O) - IPCC Agriculture 42.83 (2050)
Emission Totals - Indirect emissions (N2O) - Agricultural Soils 9.7 (2050)
Emission Totals - Emissions (CO2eq) from N2O (AR5) - Agricultural Soil 11,242 (2050)

All data for Niger →

Frequently asked questions

What is trading across borders: cost to export: border compliance (usd) (db16 in Niger?: Trading across borders: cost to export: border compliance (usd) (db16 in Niger was 63.13 in 2019, according to the World Bank.
What is the highest trading across borders: cost to export: border compliance (usd) (db16 recorded in Niger?: The highest recorded value was 63.13 in 2014.
What is the lowest trading across borders: cost to export: border compliance (usd) (db16 recorded in Niger?: The lowest recorded value was 63.13 in 2014.
How does Niger rank for trading across borders: cost to export: border compliance (usd) (db16?: Niger ranks 116th out of 188 countries with data for 2019.
Is trading across borders: cost to export: border compliance (usd) (db16 rising or falling in Niger?: Over the last ten years it is unchanged. The long-run trend across the full record is flat.
Where does this Niger data come from?: The figures come from the World Bank, published as part of Trading across borders: Cost to export: Border compliance (USD) (DB16-20 methodology) - Score. Statizoid updates them automatically from the source API.

Download this data

CSV · JSON — 6 observations, free to reuse under CC BY 4.0 (World Bank Open Data).

About this data

Indicator: Trading across borders: Cost to export: Border compliance (USD) (DB16-20 methodology) - Score
Source: World Bank
Licence: CC BY 4.0 (World Bank Open Data)
Coverage: 190 places, 1,139 data points, 2014–2019
Last refreshed: 10 August 2026

The score for the cost for border compliance 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 DB16-20 studies.