Is trading across borders: cost to export: border compliance (usd) (db16 rising or falling in Kenya?

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

Where does this Kenya data come from?

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

Trading across borders: Cost to export: Border compliance (USD) (DB16 in Kenya

Name: Trading across borders: Cost to export: Border compliance (USD) (DB16 in Kenya
Creator: World Bank
License: CC BY 4.0 (World Bank Open Data)

Kenya: Trading across borders: Cost to export: Border compliance (USD) (DB16 was 86.56 in 2019. ▬ Flat

Latest (2019)

86.56

Change on year

unchanged

World rank

46th

of 188 countries

All-time high

86.56

in 2014

All-time low

86.56

in 2014

Years of data

2014–2019

Trading across borders: Cost to export: Border compliance (USD) (DB16 in Kenya, 2014–2019

Source: World Bank.

Analysis

Kenya recorded 86.56 for trading across borders: cost to export: border compliance (usd) (db16 in 2019. That is the highest value across all 6 years on record.

The figure is unchanged over ten years.

Kenya ranks 46th of 188 countries on this measure, in the top quarter.

Countries ranked near Kenya

43 Jordan 87.61 compare
44 Eswatini 87.32 compare
45 Laos 86.79 compare
47 Argentina 85.85 compare
47 Israel 85.85 compare
47 Latvia 85.85 compare
47 Lesotho 85.85 compare

See the full ranking of 190 places →

More reference data data for Kenya

Emission Totals - Emissions (CO2eq) from N2O (AR5) - IPCC Agriculture 18,270 (2050)
Emission Totals - Emissions (N2O) - Manure applied to Soils 1.8 (2050)
Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 12.22 (2050)
Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 0.5379 (2050)
Emission Totals - Emissions (N2O) - Agricultural Soils 67.66 (2050)
Emission Totals - Emissions (N2O) - Burning - Crop residues 0.1803 (2050)
Emission Totals - Indirect emissions (N2O) - Agricultural Soils 14.55 (2050)
Emission Totals - Indirect emissions (N2O) - Crop Residues 0.377 (2050)
Emission Totals - Emissions (N2O) - Manure left on Pasture 58.05 (2050)
Emission Totals - Emissions (CO2eq) from N2O (AR5) - Manure applied to 477.91 (2050)

All data for Kenya →

Frequently asked questions

What is trading across borders: cost to export: border compliance (usd) (db16 in Kenya?: Trading across borders: cost to export: border compliance (usd) (db16 in Kenya was 86.56 in 2019, according to the World Bank.
What is the highest trading across borders: cost to export: border compliance (usd) (db16 recorded in Kenya?: The highest recorded value was 86.56 in 2014.
What is the lowest trading across borders: cost to export: border compliance (usd) (db16 recorded in Kenya?: The lowest recorded value was 86.56 in 2014.
How does Kenya rank for trading across borders: cost to export: border compliance (usd) (db16?: Kenya ranks 46th out of 188 countries with data for 2019.
Is trading across borders: cost to export: border compliance (usd) (db16 rising or falling in Kenya?: Over the last ten years it is unchanged. The long-run trend across the full record is flat.
Where does this Kenya data come from?: The figures come from the World Bank, published as part of Trading across borders: Cost to export: Border compliance (USD) (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: Cost to export: Border compliance (USD) (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 cost 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.