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

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

Where does this Serbia 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 Serbia

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

Serbia: Trading across borders: Cost to export: Border compliance (USD) (DB16 was 95.54 in 2019. ▬ Flat

Latest (2019)

95.54

Change on year

unchanged

World rank

22nd

of 188 countries

All-time high

95.54

in 2014

All-time low

95.54

in 2014

Years of data

2014–2019

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

Source: World Bank.

Analysis

Serbia recorded 95.54 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.

That places Serbia 22nd out of 188 countries with data for 2019, putting it in the top quarter.

Countries ranked near Serbia

20 Kyrgyzstan 99.06 compare
21 Bahrain 95.55 compare
23 Palestine 95.18 compare
24 Albania 94.84 compare
25 Bulgaria 94.81 compare
25 Sweden 94.81 compare

See the full ranking of 190 places →

More reference data data for Serbia

Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 0.6055 (2050)
Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 0.3321 (2050)
Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 3.36 (2050)
Emission Totals - Indirect emissions (N2O) - Crop Residues 0.3467 (2050)
Emission Totals - Indirect emissions (N2O) - Agricultural Soils 3.36 (2050)
Emission Totals - Emissions (N2O) - Manure applied to Soils 2.03 (2050)
Emission Totals - Emissions (N2O) - Manure Management 1.29 (2050)
Emission Totals - Emissions (N2O) - Manure left on Pasture 1.44 (2050)
Emission Totals - Emissions (N2O) - IPCC Agriculture 15.2 (2050)
Emission Totals - Emissions (N2O) - Crop Residues 1.89 (2050)

All data for Serbia →

Frequently asked questions

What is trading across borders: cost to export: border compliance (usd) (db16 in Serbia?: Trading across borders: cost to export: border compliance (usd) (db16 in Serbia was 95.54 in 2019, according to the World Bank.
What is the highest trading across borders: cost to export: border compliance (usd) (db16 recorded in Serbia?: The highest recorded value was 95.54 in 2014.
What is the lowest trading across borders: cost to export: border compliance (usd) (db16 recorded in Serbia?: The lowest recorded value was 95.54 in 2014.
How does Serbia rank for trading across borders: cost to export: border compliance (usd) (db16?: Serbia ranks 22nd out of 188 countries with data for 2019.
Is trading across borders: cost to export: border compliance (usd) (db16 rising or falling in Serbia?: Over the last ten years it is unchanged. The long-run trend across the full record is flat.
Where does this Serbia 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.