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

Over the last ten years it is up 0.3%. The long-run trend across the full record is flat.

Where does this Botswana 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 Botswana

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

Botswana: Trading across borders: Time to import: Border compliance (hours) (DB1 was 99.1 in 2019. ▬ Flat

Latest (2019)

99.1

Change on year

unchanged

World rank

35th

of 188 countries

All-time high

99.1

in 2017

All-time low

98.77

in 2014

Years of data

2014–2019

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

Source: World Bank.

Analysis

Botswana recorded 99.1 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 0.3% over ten years.

That places Botswana 35th out of 188 countries with data for 2019, putting it in the top quarter.

Countries ranked near Botswana

32 Armenia 99.45 compare
33 United Kingdom 99.28 compare
34 Eswatini 99.26 compare
36 San Marino 98.92 compare
37 Azerbaijan 98.87 compare
38 Moldova 98.79 compare

See the full ranking of 190 places →

More reference data data for Botswana

Emission Totals - Emissions (CO2eq) from N2O (AR5) - Manure applied to 41.92 (2050)
Emission Totals - Emissions (N2O) - Manure Management 0.0825 (2050)
Emission Totals - Emissions (N2O) - Burning - Crop residues 0.003 (2050)
Emission Totals - Emissions (N2O) - Manure applied to Soils 0.1582 (2050)
Emission Totals - Emissions (N2O) - Agricultural Soils 7.17 (2050)
Emission Totals - Emissions (CO2eq) from N2O (AR5) - IPCC Agriculture 1,922 (2050)
Emission Totals - Emissions (CO2eq) from N2O (AR5) - Crop Residues 11.23 (2050)
Emission Totals - Emissions (CO2eq) from N2O (AR5) - Burning - Crop re 0.8077 (2050)
Emission Totals - Emissions (CO2eq) from N2O (AR5) - Agricultural Soil 1,899 (2050)
Emission Totals - Emissions (N2O) - Crop Residues 0.0424 (2050)

All data for Botswana →

Frequently asked questions

What is trading across borders: time to import: border compliance (hours) (db1 in Botswana?: Trading across borders: time to import: border compliance (hours) (db1 in Botswana was 99.1 in 2019, according to the World Bank.
What is the highest trading across borders: time to import: border compliance (hours) (db1 recorded in Botswana?: The highest recorded value was 99.1 in 2017.
What is the lowest trading across borders: time to import: border compliance (hours) (db1 recorded in Botswana?: The lowest recorded value was 98.77 in 2014.
How does Botswana rank for trading across borders: time to import: border compliance (hours) (db1?: Botswana ranks 35th out of 188 countries with data for 2019.
Is trading across borders: time to import: border compliance (hours) (db1 rising or falling in Botswana?: Over the last ten years it is up 0.3%. The long-run trend across the full record is flat.
Where does this Botswana 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.