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

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

Where does this Chile 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 Chile

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

Chile: Trading across borders: Cost to export: Border compliance (USD) (DB16 was 72.64 in 2019. ▬ Flat

Latest (2019)

72.64

Change on year

unchanged

World rank

82nd

of 188 countries

All-time high

72.64

in 2014

All-time low

72.64

in 2014

Years of data

2014–2019

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

Source: World Bank.

Analysis

The most recent figure for trading across borders: cost to export: border compliance (usd) (db16 in Chile is 72.64, measured in 2019. That is the highest value across all 6 years on record.

The figure is unchanged over ten years.

That places Chile 82nd out of 188 countries with data for 2019, putting it in the middle of the range.

Countries ranked near Chile

80 Zimbabwe 73.11 compare
81 Pakistan 72.83 compare
82 Vietnam 72.64 compare
84 Marshall Islands 71.93 compare
85 Cyprus 71.7 compare
85 Greece 71.7 compare

See the full ranking of 190 places →

More reference data data for Chile

Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 0.9268 (2050)
Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 2.22 (2050)
Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 5.33 (2050)
Emission Totals - Indirect emissions (N2O) - Crop Residues 0.2204 (2050)
Emission Totals - Indirect emissions (N2O) - Agricultural Soils 5.33 (2050)
Emission Totals - Emissions (N2O) - Manure applied to Soils 3.11 (2050)
Emission Totals - Emissions (N2O) - Manure Management 1.46 (2050)
Emission Totals - Emissions (N2O) - Manure left on Pasture 11.45 (2050)
Emission Totals - Emissions (N2O) - IPCC Agriculture 25.25 (2050)
Emission Totals - Emissions (N2O) - Crop Residues 1.2 (2050)

All data for Chile →

Frequently asked questions

What is trading across borders: cost to export: border compliance (usd) (db16 in Chile?: Trading across borders: cost to export: border compliance (usd) (db16 in Chile was 72.64 in 2019, according to the World Bank.
What is the highest trading across borders: cost to export: border compliance (usd) (db16 recorded in Chile?: The highest recorded value was 72.64 in 2014.
What is the lowest trading across borders: cost to export: border compliance (usd) (db16 recorded in Chile?: The lowest recorded value was 72.64 in 2014.
How does Chile rank for trading across borders: cost to export: border compliance (usd) (db16?: Chile ranks 82nd out of 188 countries with data for 2019.
Is trading across borders: cost to export: border compliance (usd) (db16 rising or falling in Chile?: Over the last ten years it is unchanged. The long-run trend across the full record is flat.
Where does this Chile 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.