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

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

Where does this Samoa data come from?

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

Trading across borders: Cost to import: Border compliance (USD) (DB16 in Samoa

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

Samoa: Trading across borders: Cost to import: Border compliance (USD) (DB16 was 25 in 2019. ▬ Flat

Latest (2019)

Change on year

unchanged

World rank

164th

of 188 countries

All-time high

in 2014

All-time low

in 2014

Years of data

2014–2019

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

Source: World Bank.

Analysis

The most recent figure for trading across borders: cost to import: border compliance (usd) (db16 in Samoa is 25, measured in 2019. That is the highest value across all 6 years on record.

That represents a change of unchanged over ten years.

That places Samoa 164th out of 188 countries with data for 2019, putting it in the bottom quarter.

Countries ranked near Samoa

161 Syria 31.02 compare
162 Kenya 30.62 compare
163 Saint Lucia 29.83 compare
164 Bangladesh 25 compare
166 Dominica 24.54 compare
167 Jamaica 24.5 compare

See the full ranking of 190 places →

More reference data data for Samoa

Emission Totals - Emissions (N2O) - IPCC Agriculture 0.2319 (2050)
Emission Totals - Indirect emissions (N2O) - Agricultural Soils 0.0396 (2050)
Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 0.0165 (2050)
Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 0.023 (2050)
Emission Totals - Emissions (N2O) - Manure left on Pasture 0.0918 (2050)
Emission Totals - Emissions (N2O) - Manure Management 0.0626 (2050)
Emission Totals - Emissions (N2O) - Burning - Crop residues 0 (2050)
Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 0.0396 (2050)
Emission Totals - Emissions (N2O) - Manure applied to Soils 0.077 (2050)
Emission Totals - Emissions (CO2eq) (AR5) - Manure applied to Soils 20.42 (2050)

All data for Samoa →

Frequently asked questions

What is trading across borders: cost to import: border compliance (usd) (db16 in Samoa?: Trading across borders: cost to import: border compliance (usd) (db16 in Samoa was 25 in 2019, according to the World Bank.
What is the highest trading across borders: cost to import: border compliance (usd) (db16 recorded in Samoa?: The highest recorded value was 25 in 2014.
What is the lowest trading across borders: cost to import: border compliance (usd) (db16 recorded in Samoa?: The lowest recorded value was 25 in 2014.
How does Samoa rank for trading across borders: cost to import: border compliance (usd) (db16?: Samoa ranks 164th out of 188 countries with data for 2019.
Is trading across borders: cost to import: border compliance (usd) (db16 rising or falling in Samoa?: Over the last ten years it is unchanged. The long-run trend across the full record is flat.
Where does this Samoa data come from?: The figures come from the World Bank, published as part of Trading across borders: Cost to import: 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 import: 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 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 DB16-20 studies.