Trading across borders: Cost to import: Border compliance (USD) in Papua New Guinea

Papua New Guinea: Trading across borders: Cost to import: Border compliance (USD) was 940 DB16-20 methodology in 2019. ▲ Rising

Latest (2019)
940 DB16-20 methodology
Change on year
up 19.0%
World rank
20th
of 188 countries
All-time high
940 DB16-20 methodology
in 2019
All-time low
790 DB16-20 methodology
in 2014
Years of data
6
2014–2019

Trading across borders: Cost to import: Border compliance (USD) in Papua New Guinea, 2014–2019

02004006008001.0k2014201620192014: 790 DB16-20 methodology2015: 790 DB16-20 methodology2016: 790 DB16-20 methodology2017: 790 DB16-20 methodology2018: 790 DB16-20 methodology2019: 940 DB16-20 methodology

Source: World Bank. Measured in DB16-20 methodology.

Analysis

In 2019, trading across borders: cost to import: border compliance (usd) in Papua New Guinea stood at 940 DB16-20 methodology. That is the highest value across all 6 years on record.

The figure is up 19.0% on the previous year and up 19.0% over ten years.

Papua New Guinea ranks 20th of 188 countries on this measure, in the top quarter.

Countries ranked near Papua New Guinea

  1. 17 Maldives 980.5 DB16-20 methodology compare
  2. 18 Chad 965 DB16-20 methodology compare
  3. 19 Somalia 952 DB16-20 methodology compare
  4. 21 Jamaica 906 DB16-20 methodology compare
  5. 22 Dominica 905.56 DB16-20 methodology compare
  6. 23 Bangladesh 900 DB16-20 methodology compare
  7. 23 Samoa 900 DB16-20 methodology compare

See the full ranking of 188 places →

More reference data data for Papua New Guinea

All data for Papua New Guinea →

Frequently asked questions

What is trading across borders: cost to import: border compliance (usd) in Papua New Guinea?
Trading across borders: cost to import: border compliance (usd) in Papua New Guinea was 940 DB16-20 methodology in 2019, according to the World Bank.
What is the highest trading across borders: cost to import: border compliance (usd) recorded in Papua New Guinea?
The highest recorded value was 940 DB16-20 methodology in 2019.
What is the lowest trading across borders: cost to import: border compliance (usd) recorded in Papua New Guinea?
The lowest recorded value was 790 DB16-20 methodology in 2014.
How does Papua New Guinea rank for trading across borders: cost to import: border compliance (usd)?
Papua New Guinea ranks 20th out of 188 countries with data for 2019.
Is trading across borders: cost to import: border compliance (usd) rising or falling in Papua New Guinea?
Over the last ten years it is up 19.0%. The long-run trend across the full record is rising.
Where does this Papua New Guinea 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). Statizoid updates them automatically from the source API.

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Trading across borders: Cost to import: Border compliance (USD) in Papua New Guinea. Statizoid. Retrieved 19 August 2026, from https://reference.statizoid.com/stat/trading-across-borders-cost-to-import-border-compliance-usd-db16-20-methodology/papua-new-guinea/

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About this data

Indicator
Trading across borders: Cost to import: Border compliance (USD) (DB16-20 methodology)
Unit
DB16-20 methodology
Source
World Bank
Licence
CC BY 4.0 (World Bank Open Data)
Coverage
188 places, 1,126 data points, 2014–2019
Last refreshed

The cost for border compliance to import records the cost associated with compliance with the economy’s customs regulations and with regulations relating to other inspections that are mandatory in order for the import shipment to cross the economy’s border, as well as the time and cost for handling that takes place at its port or border. It is calculated in US dollars. The cost for this segment include the cost for customs clearance and inspection procedures conducted by other agencies. For example, the cost for conducting a technical standard inspection would be included here. Informal payments for which no receipt is issued are excluded from the costs recorded. The component indicator is computed based on the methodology in the DB16-20 studies.