How does Malaysia rank for trading across borders: cost to import: border compliance (usd) (db16?

Malaysia ranks 54th out of 188 countries with data for 2019.

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

Over the last ten years it is up 6.6%. The long-run trend across the full record is rising.

Where does this Malaysia 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 Malaysia

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

Malaysia: Trading across borders: Cost to import: Border compliance (USD) (DB16 was 82.29 in 2019. ▲ Rising

Latest (2019)

82.29

Change on year

unchanged

World rank

54th

of 188 countries

All-time high

82.29

in 2018

All-time low

77.17

in 2014

Years of data

2014–2019

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

Source: World Bank.

Analysis

In 2019, trading across borders: cost to import: border compliance (usd) (db16 in Malaysia stood at 82.29. That is the highest value across all 6 years on record.

Compared with earlier readings it is up 6.6% over ten years.

Malaysia ranks 54th of 188 countries on this measure, in the middle of the range.

Countries ranked near Malaysia

51 Nepal 84.17 compare
52 Jordan 82.86 compare
53 Mongolia 82.52 compare
55 Singapore 81.67 compare
56 Tajikistan 81.39 compare
57 Laos 81.38 compare

See the full ranking of 190 places →

More reference data data for Malaysia

Emission Totals - Emissions (N2O) - Crop Residues 0.8098 (2050)
Emission Totals - Emissions (N2O) - IPCC Agriculture 21.1 (2050)
Emission Totals - Emissions (CO2eq) (AR5) - Manure applied to Soils 631 (2050)
Emission Totals - Emissions (N2O) - Manure left on Pasture 3.29 (2050)
Emission Totals - Emissions (N2O) - Manure Management 1.64 (2050)
Emission Totals - Emissions (CO2eq) (AR5) - Manure Management 1,457 (2050)
Emission Totals - Emissions (CH4) - Manure Management 36.51 (2050)
Emission Totals - Emissions (N2O) - Manure applied to Soils 2.38 (2050)
Emission Totals - Emissions (N2O) - Burning - Crop residues 0.0324 (2050)
Emission Totals - Emissions (CO2eq) (AR5) - Manure left on Pasture 870.95 (2050)

All data for Malaysia →

Frequently asked questions

What is trading across borders: cost to import: border compliance (usd) (db16 in Malaysia?: Trading across borders: cost to import: border compliance (usd) (db16 in Malaysia was 82.29 in 2019, according to the World Bank.
What is the highest trading across borders: cost to import: border compliance (usd) (db16 recorded in Malaysia?: The highest recorded value was 82.29 in 2018.
What is the lowest trading across borders: cost to import: border compliance (usd) (db16 recorded in Malaysia?: The lowest recorded value was 77.17 in 2014.
How does Malaysia rank for trading across borders: cost to import: border compliance (usd) (db16?: Malaysia ranks 54th out of 188 countries with data for 2019.
Is trading across borders: cost to import: border compliance (usd) (db16 rising or falling in Malaysia?: Over the last ten years it is up 6.6%. The long-run trend across the full record is rising.
Where does this Malaysia 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

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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.