Is trading across borders: time to import: border compliance (hours) (db1 rising or falling in Iran?

Over the last ten years it is up 5.1%. The long-run trend across the full record is rising.

Where does this Iran data come from?

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

Trading across borders: Time to import: Border compliance (hours) (DB1 in Iran

Name: Trading across borders: Time to import: Border compliance (hours) (DB1 in Iran
Creator: World Bank
License: CC BY 4.0 (World Bank Open Data)

Iran: Trading across borders: Time to import: Border compliance (hours) (DB1 was 49.82 in 2019. ▲ Rising

Latest (2019)

49.82

Change on year

unchanged

World rank

163rd

of 188 countries

All-time high

49.82

in 2016

All-time low

47.42

in 2014

Years of data

2014–2019

Trading across borders: Time to import: Border compliance (hours) (DB1 in Iran, 2014–2019

Source: World Bank.

Analysis

The most recent figure for trading across borders: time to import: border compliance (hours) (db1 in Iran is 49.82, measured in 2019. That is the highest value across all 6 years on record.

That represents a change of up 5.1% over ten years.

Iran ranks 163rd of 188 countries on this measure, in the bottom quarter.

Countries ranked near Iran

160 Cote d'Ivoire 55.5 compare
161 Vanuatu 55.2 compare
162 Iraq 53.52 compare
164 Syria 49.7 compare
165 Sudan 48.75 compare
166 Uganda 48.39 compare

See the full ranking of 190 places →

More reference data data for Iran

Emission Totals - Emissions (CO2eq) from N2O (AR5) - Crop Residues 1,936 (2050)
Emission Totals - Emissions (CO2eq) from CH4 (AR5) - Manure Management 2,676 (2050)
Emission Totals - Emissions (CO2eq) from CH4 (AR5) - IPCC Agriculture 42,936 (2050)
Emission Totals - Emissions (CH4) - Manure Management 95.57 (2050)
Emission Totals - Emissions (N2O) - Burning - Crop residues 0.2091 (2050)
Emission Totals - Emissions (N2O) - Manure Management 3.84 (2050)
Emission Totals - Emissions (CO2eq) from CH4 (AR5) - Burning - Crop re 225.79 (2050)
Emission Totals - Emissions (CO2eq) from CH4 (AR5) - Enteric Fermentat 35,629 (2050)
Emission Totals - Emissions (CH4) - IPCC Agriculture 1,533 (2050)
Emission Totals - Emissions (N2O) - Crop Residues 7.3 (2050)

All data for Iran →

Frequently asked questions

What is trading across borders: time to import: border compliance (hours) (db1 in Iran?: Trading across borders: time to import: border compliance (hours) (db1 in Iran was 49.82 in 2019, according to the World Bank.
What is the highest trading across borders: time to import: border compliance (hours) (db1 recorded in Iran?: The highest recorded value was 49.82 in 2016.
What is the lowest trading across borders: time to import: border compliance (hours) (db1 recorded in Iran?: The lowest recorded value was 47.42 in 2014.
How does Iran rank for trading across borders: time to import: border compliance (hours) (db1?: Iran ranks 163rd out of 188 countries with data for 2019.
Is trading across borders: time to import: border compliance (hours) (db1 rising or falling in Iran?: Over the last ten years it is up 5.1%. The long-run trend across the full record is rising.
Where does this Iran data come from?: The figures come from the World Bank, published as part of Trading across borders: Time to import: Border compliance (hours) (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: Time to import: Border compliance (hours) (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 time 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.