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

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

Where does this Ecuador 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 Ecuador

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

Ecuador: Trading across borders: Time to import: Border compliance (hours) (DB1 was 91.76 in 2019. ▬ Flat

Latest (2019)

91.76

Change on year

unchanged

World rank

58th

of 188 countries

All-time high

91.76

in 2014

All-time low

91.76

in 2014

Years of data

2014–2019

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

Source: World Bank.

Analysis

Ecuador recorded 91.76 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 unchanged over ten years.

Ecuador ranks 58th of 188 countries on this measure, in the middle of the range.

Countries ranked near Ecuador

55 Georgia 94.98 compare
56 Hong Kong 93.71 compare
57 Montenegro 92.03 compare
58 Dominican Republic 91.76 compare
58 Iceland 91.76 compare
58 Ireland 91.76 compare
58 Panama 91.76 compare
58 Paraguay 91.76 compare

See the full ranking of 190 places →

More reference data data for Ecuador

Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 0.9379 (2050)
Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 2.51 (2050)
Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 4.74 (2050)
Emission Totals - Indirect emissions (N2O) - Crop Residues 0.1826 (2050)
Emission Totals - Indirect emissions (N2O) - Agricultural Soils 4.74 (2050)
Emission Totals - Emissions (N2O) - Manure applied to Soils 3.14 (2050)
Emission Totals - Emissions (N2O) - Manure Management 1.18 (2050)
Emission Totals - Emissions (N2O) - Manure left on Pasture 13.63 (2050)
Emission Totals - Emissions (N2O) - IPCC Agriculture 23.57 (2050)
Emission Totals - Emissions (N2O) - Crop Residues 0.9943 (2050)

All data for Ecuador →

Frequently asked questions

What is trading across borders: time to import: border compliance (hours) (db1 in Ecuador?: Trading across borders: time to import: border compliance (hours) (db1 in Ecuador was 91.76 in 2019, according to the World Bank.
What is the highest trading across borders: time to import: border compliance (hours) (db1 recorded in Ecuador?: The highest recorded value was 91.76 in 2014.
What is the lowest trading across borders: time to import: border compliance (hours) (db1 recorded in Ecuador?: The lowest recorded value was 91.76 in 2014.
How does Ecuador rank for trading across borders: time to import: border compliance (hours) (db1?: Ecuador ranks 58th out of 188 countries with data for 2019.
Is trading across borders: time to import: border compliance (hours) (db1 rising or falling in Ecuador?: Over the last ten years it is unchanged. The long-run trend across the full record is flat.
Where does this Ecuador 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.