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

Over the last ten years it is down 76.2%. The long-run trend across the full record is volatile.

Where does this Zimbabwe 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 Zimbabwe

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

Zimbabwe: Trading across borders: Time to import: Border compliance (hours) (DB1 was 18.76 in 2019. ◆ Volatile

Latest (2019)

18.76

Change on year

unchanged

World rank

176th

of 188 countries

All-time high

78.97

in 2014

All-time low

18.76

in 2016

Years of data

2014–2019

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

Source: World Bank.

Analysis

The most recent figure for trading across borders: time to import: border compliance (hours) (db1 in Zimbabwe is 18.76, measured in 2019. That is the lowest value across all 6 years on record.

Compared with earlier readings it is down 76.2% over ten years.

Zimbabwe ranks 176th of 188 countries on this measure, in the bottom quarter.

Countries ranked near Zimbabwe

173 Algeria 25.24 compare
174 Bangladesh 22.94 compare
175 Liberia 22.58 compare
177 Myanmar 17.92 compare
178 Egypt 14.34 compare
178 Equatorial Guinea 14.34 compare

See the full ranking of 190 places →

More reference data data for Zimbabwe

Country level monthly temperature anomalies -0.5886 (2026)
Summer temperature anomalies 0.8086 (2026)
Spring temperature anomalies -0.1903 (2026)
Exchange rate, new LCU per USD extended backward, period average 60,892 (2025)
Exchange rate, old LCU per USD extended forward, period average 60,892 (2025)
Official exchange rate, LCU per USD, period average 60,892 (2025)
Universal suffrage men lexical 1 (2025)
Elections for the governments chief executive 1 (2025)
Competitive elections lexical 0 (2025)
Political regime lexical 3 (2025)

All data for Zimbabwe →

Frequently asked questions

What is trading across borders: time to import: border compliance (hours) (db1 in Zimbabwe?: Trading across borders: time to import: border compliance (hours) (db1 in Zimbabwe was 18.76 in 2019, according to the World Bank.
What is the highest trading across borders: time to import: border compliance (hours) (db1 recorded in Zimbabwe?: The highest recorded value was 78.97 in 2014.
What is the lowest trading across borders: time to import: border compliance (hours) (db1 recorded in Zimbabwe?: The lowest recorded value was 18.76 in 2016.
How does Zimbabwe rank for trading across borders: time to import: border compliance (hours) (db1?: Zimbabwe ranks 176th out of 188 countries with data for 2019.
Is trading across borders: time to import: border compliance (hours) (db1 rising or falling in Zimbabwe?: Over the last ten years it is down 76.2%. The long-run trend across the full record is volatile.
Where does this Zimbabwe 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.