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

Over the last ten years it is up 4.9%. The long-run trend across the full record is rising.

Where does this Ghana 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 Ghana

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

Ghana: Trading across borders: Time to import: Border compliance (hours) (DB1 was 71.68 in 2019. ▲ Rising

Latest (2019)

71.68

Change on year

unchanged

World rank

124th

of 188 countries

All-time high

71.68

in 2018

All-time low

68.31

in 2014

Years of data

2014–2019

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

Source: World Bank.

Analysis

Ghana recorded 71.68 for trading across borders: time to import: border compliance (hours) (db1 in 2019. That is the highest value across all 6 years on record.

Compared with earlier readings it is up 4.9% over ten years.

Ghana ranks 124th of 188 countries on this measure, in the middle of the range.

Countries ranked near Ghana

121 Guinea 72.09 compare
121 Jordan 72.09 compare
121 Libya 72.09 compare
124 Costa Rica 71.68 compare
124 Jamaica 71.68 compare
124 Tunisia 71.68 compare

See the full ranking of 190 places →

More reference data data for Ghana

Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 0.2805 (2050)
Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 1.89 (2050)
Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 2.69 (2050)
Emission Totals - Indirect emissions (N2O) - Crop Residues 0.1989 (2050)
Emission Totals - Indirect emissions (N2O) - Agricultural Soils 2.69 (2050)
Emission Totals - Emissions (N2O) - Manure applied to Soils 0.9405 (2050)
Emission Totals - Emissions (N2O) - Manure Management 0.9478 (2050)
Emission Totals - Emissions (N2O) - Manure left on Pasture 8.22 (2050)
Emission Totals - Emissions (N2O) - IPCC Agriculture 12.64 (2050)
Emission Totals - Emissions (N2O) - Crop Residues 1.08 (2050)

All data for Ghana →

Frequently asked questions

What is trading across borders: time to import: border compliance (hours) (db1 in Ghana?: Trading across borders: time to import: border compliance (hours) (db1 in Ghana was 71.68 in 2019, according to the World Bank.
What is the highest trading across borders: time to import: border compliance (hours) (db1 recorded in Ghana?: The highest recorded value was 71.68 in 2018.
What is the lowest trading across borders: time to import: border compliance (hours) (db1 recorded in Ghana?: The lowest recorded value was 68.31 in 2014.
How does Ghana rank for trading across borders: time to import: border compliance (hours) (db1?: Ghana ranks 124th out of 188 countries with data for 2019.
Is trading across borders: time to import: border compliance (hours) (db1 rising or falling in Ghana?: Over the last ten years it is up 4.9%. The long-run trend across the full record is rising.
Where does this Ghana 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

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 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.