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

Over the last ten years it is down 0.5%. The long-run trend across the full record is flat.

Where does this Moldova 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 Moldova

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

Moldova: Trading across borders: Time to import: Border compliance (hours) (DB1 was 98.79 in 2019. ▬ Flat

Latest (2019)

98.79

Change on year

unchanged

World rank

38th

of 188 countries

All-time high

99.32

in 2014

All-time low

98.79

in 2016

Years of data

2014–2019

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

Source: World Bank.

Analysis

Moldova recorded 98.79 for trading across borders: time to import: border compliance (hours) (db1 in 2019. That is the lowest value across all 6 years on record.

The figure is down 0.5% over ten years.

Moldova ranks 38th of 188 countries on this measure, in the top quarter.

Countries ranked near Moldova

35 Botswana 99.1 compare
36 San Marino 98.92 compare
37 Azerbaijan 98.87 compare
39 Lesotho 98.75 compare
40 Serbia 98.71 compare
41 Bhutan 98.57 compare

See the full ranking of 190 places →

More reference data data for Moldova

Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 0.2466 (2050)
Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 0.1366 (2050)
Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 0.6117 (2050)
Emission Totals - Indirect emissions (N2O) - Crop Residues 0.118 (2050)
Emission Totals - Indirect emissions (N2O) - Agricultural Soils 0.6117 (2050)
Emission Totals - Emissions (N2O) - Manure applied to Soils 0.8268 (2050)
Emission Totals - Emissions (N2O) - Manure Management 0.4303 (2050)
Emission Totals - Emissions (N2O) - Manure left on Pasture 0.5193 (2050)
Emission Totals - Emissions (N2O) - IPCC Agriculture 2.92 (2050)
Emission Totals - Emissions (N2O) - Crop Residues 0.6426 (2050)

All data for Moldova →

Frequently asked questions

What is trading across borders: time to import: border compliance (hours) (db1 in Moldova?: Trading across borders: time to import: border compliance (hours) (db1 in Moldova was 98.79 in 2019, according to the World Bank.
What is the highest trading across borders: time to import: border compliance (hours) (db1 recorded in Moldova?: The highest recorded value was 99.32 in 2014.
What is the lowest trading across borders: time to import: border compliance (hours) (db1 recorded in Moldova?: The lowest recorded value was 98.79 in 2016.
How does Moldova rank for trading across borders: time to import: border compliance (hours) (db1?: Moldova ranks 38th out of 188 countries with data for 2019.
Is trading across borders: time to import: border compliance (hours) (db1 rising or falling in Moldova?: Over the last ten years it is down 0.5%. The long-run trend across the full record is flat.
Where does this Moldova 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.