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

Over the last ten years it is up 23.8%. The long-run trend across the full record is rising.

Where does this Nepal 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 Nepal

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

Nepal: Trading across borders: Time to import: Border compliance (hours) (DB1 was 96.42 in 2019. ▲ Rising

Latest (2019)

96.42

Change on year

up 21.1%

World rank

53rd

of 188 countries

All-time high

96.42

in 2019

All-time low

77.89

in 2014

Years of data

2014–2019

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

Source: World Bank.

Analysis

The most recent figure for trading across borders: time to import: border compliance (hours) (db1 in Nepal is 96.42, measured in 2019. That is the highest value across all 6 years on record.

Compared with earlier readings it is up 21.1% on the previous year and up 23.8% over ten years.

Nepal ranks 53rd of 188 countries on this measure, in the middle of the range.

Countries ranked near Nepal

50 Mozambique 97.13 compare
51 Albania 96.77 compare
52 Lao PDR 96.59 compare
54 Cyprus 95.1 compare
55 Georgia 94.98 compare
56 Hong Kong 93.71 compare

See the full ranking of 190 places →

More reference data data for Nepal

Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 4.14 (2050)
Emission Totals - Indirect emissions (N2O) - Crop Residues 0.7853 (2050)
Emission Totals - Indirect emissions (N2O) - Agricultural Soils 4.14 (2050)
Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 2.5 (2050)
Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 0.7753 (2050)
Emission Totals - Emissions (N2O) - Agricultural Soils 18.47 (2050)
Emission Totals - Emissions (CO2eq) from N2O (AR5) - Manure left on Pa 2,990 (2050)
Emission Totals - Emissions (CO2eq) from N2O (AR5) - Manure Management 211.32 (2050)
Emission Totals - Emissions (CO2eq) from N2O (AR5) - Manure applied to 688.89 (2050)
Emission Totals - Direct emissions (N2O) - IPCC Agriculture 14.33 (2050)

All data for Nepal →

Frequently asked questions

What is trading across borders: time to import: border compliance (hours) (db1 in Nepal?: Trading across borders: time to import: border compliance (hours) (db1 in Nepal was 96.42 in 2019, according to the World Bank.
What is the highest trading across borders: time to import: border compliance (hours) (db1 recorded in Nepal?: The highest recorded value was 96.42 in 2019.
What is the lowest trading across borders: time to import: border compliance (hours) (db1 recorded in Nepal?: The lowest recorded value was 77.89 in 2014.
How does Nepal rank for trading across borders: time to import: border compliance (hours) (db1?: Nepal ranks 53rd out of 188 countries with data for 2019.
Is trading across borders: time to import: border compliance (hours) (db1 rising or falling in Nepal?: Over the last ten years it is up 23.8%. The long-run trend across the full record is rising.
Where does this Nepal 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.