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

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

Where does this Chad data come from?

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

Trading across borders: Time to export: Border compliance (hours) (DB1 in Chad

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

Chad: Trading across borders: Time to export: Border compliance (hours) (DB1 was 33.96 in 2019. ▬ Flat

Latest (2019)

33.96

Change on year

unchanged

World rank

161st

of 188 countries

All-time high

33.96

in 2014

All-time low

33.96

in 2014

Years of data

2014–2019

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

Source: World Bank.

Analysis

The most recent figure for trading across borders: time to export: border compliance (hours) (db1 in Chad is 33.96, measured 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 Chad 161st out of 188 countries with data for 2019, putting it in the bottom quarter.

Countries ranked near Chad

158 Grenada 36.83 compare
159 Palau 36.66 compare
160 Kazakhstan 34.59 compare
162 Ghana 32.7 compare
162 Honduras 32.7 compare
164 Gambia 31.87 compare

See the full ranking of 190 places →

More reference data data for Chad

Emission Totals - Indirect emissions (N2O) - Agricultural Soils 14.01 (2050)
Summer temperature anomalies 1 °C (2026)
Temperature anomalies by month 3.03 °C (2026)
Spring temperature anomalies 0.1244 °C (2026)
Emission Totals - Emissions (CO2eq) from N2O (AR5) - Manure Management 146.4 (2050)
Emission Totals - Direct emissions (N2O) - Manure applied to Soils 0.7242 (2050)
Emission Totals - Direct emissions (N2O) - IPCC Agriculture 46.55 (2050)
Emission Totals - Direct emissions (N2O) - Crop Residues 0.7988 (2050)
Emission Totals - Emissions (CO2eq) from CH4 (AR5) - Burning - Crop re 30.4 (2050)
Emission Totals - Emissions (CO2eq) from N2O (AR5) - Manure left on Pa 15,516 (2050)

All data for Chad →

Frequently asked questions

What is trading across borders: time to export: border compliance (hours) (db1 in Chad?: Trading across borders: time to export: border compliance (hours) (db1 in Chad was 33.96 in 2019, according to the World Bank.
What is the highest trading across borders: time to export: border compliance (hours) (db1 recorded in Chad?: The highest recorded value was 33.96 in 2014.
What is the lowest trading across borders: time to export: border compliance (hours) (db1 recorded in Chad?: The lowest recorded value was 33.96 in 2014.
How does Chad rank for trading across borders: time to export: border compliance (hours) (db1?: Chad ranks 161st out of 188 countries with data for 2019.
Is trading across borders: time to export: border compliance (hours) (db1 rising or falling in Chad?: Over the last ten years it is unchanged. The long-run trend across the full record is flat.
Where does this Chad data come from?: The figures come from the World Bank, published as part of Trading across borders: Time to export: Border compliance (hours) (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: Time to export: 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 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.