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

Over the last ten years it is up 9.2%. The long-run trend across the full record is rising.

Where does this Brazil 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 Brazil

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

Brazil: Trading across borders: Time to import: Border compliance (hours) (DB1 was 89.61 in 2019. ▲ Rising

Latest (2019)

89.61

Change on year

unchanged

World rank

67th

of 188 countries

All-time high

89.61

in 2018

All-time low

82.03

in 2014

Years of data

2014–2019

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

Source: World Bank.

Analysis

The most recent figure for trading across borders: time to import: border compliance (hours) (db1 in Brazil is 89.61, measured in 2019. That is the highest value across all 6 years on record.

The figure is up 9.2% over ten years.

That places Brazil 67th out of 188 countries with data for 2019, putting it in the middle of the range.

Countries ranked near Brazil

64 New Zealand 91.4 compare
65 Tonga 91.22 compare
66 Saint Lucia 90.83 compare
67 Russia 89.61 compare
67 Belize 89.61 compare
70 Ukraine 88.89 compare

See the full ranking of 190 places →

More reference data data for Brazil

Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 13.82 (2050)
Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 72.83 (2050)
Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 139.27 (2050)
Emission Totals - Indirect emissions (N2O) - Crop Residues 9.01 (2050)
Emission Totals - Indirect emissions (N2O) - Agricultural Soils 139.27 (2050)
Emission Totals - Emissions (N2O) - Manure applied to Soils 46.34 (2050)
Emission Totals - Emissions (N2O) - Manure Management 18.99 (2050)
Emission Totals - Emissions (N2O) - Manure left on Pasture 405.35 (2050)
Emission Totals - Emissions (N2O) - IPCC Agriculture 699.19 (2050)
Emission Totals - Emissions (N2O) - Crop Residues 49.04 (2050)

All data for Brazil →

Frequently asked questions

What is trading across borders: time to import: border compliance (hours) (db1 in Brazil?: Trading across borders: time to import: border compliance (hours) (db1 in Brazil was 89.61 in 2019, according to the World Bank.
What is the highest trading across borders: time to import: border compliance (hours) (db1 recorded in Brazil?: The highest recorded value was 89.61 in 2018.
What is the lowest trading across borders: time to import: border compliance (hours) (db1 recorded in Brazil?: The lowest recorded value was 82.03 in 2014.
How does Brazil rank for trading across borders: time to import: border compliance (hours) (db1?: Brazil ranks 67th out of 188 countries with data for 2019.
Is trading across borders: time to import: border compliance (hours) (db1 rising or falling in Brazil?: Over the last ten years it is up 9.2%. The long-run trend across the full record is rising.
Where does this Brazil 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.