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

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

Where does this Fiji data come from?

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

Trading across borders: Time to export: Border compliance (hours) (DB1 in Fiji

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

Fiji: Trading across borders: Time to export: Border compliance (hours) (DB1 was 65.41 in 2019. ▬ Flat

Latest (2019)

65.41

Change on year

unchanged

World rank

114th

of 188 countries

All-time high

65.41

in 2014

All-time low

65.41

in 2014

Years of data

2014–2019

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

Source: World Bank.

Analysis

The most recent figure for trading across borders: time to export: border compliance (hours) (db1 in Fiji is 65.41, measured in 2019. That is the highest value across all 6 years on record.

That represents a change of unchanged over ten years.

That places Fiji 114th out of 188 countries with data for 2019, putting it in the middle of the range.

Countries ranked near Fiji

111 Jordan 67.3 compare
112 Sierra Leone 66.13 compare
113 Vietnam 66.04 compare
115 Indonesia 65.23 compare
116 Jamaica 64.33 compare
117 Pakistan 64.15 compare

See the full ranking of 190 places →

More reference data data for Fiji

Emission Totals - Emissions (N2O) - Burning - Crop residues 0.0034 (2050)
Emission Totals - Emissions (N2O) - Agricultural Soils 1.44 (2050)
Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 0.1992 (2050)
Emission Totals - Emissions (N2O) - Manure applied to Soils 0.2292 (2050)
Emission Totals - Indirect emissions (N2O) - Agricultural Soils 0.307 (2050)
Emission Totals - Emissions (N2O) - Manure Management 0.1685 (2050)
Emission Totals - Emissions (N2O) - IPCC Agriculture 1.62 (2050)
Emission Totals - Emissions (N2O) - Manure left on Pasture 1.05 (2050)
Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 0.0683 (2050)
Emission Totals - Emissions (N2O) - Crop Residues 0.0049 (2050)

All data for Fiji →

Frequently asked questions

What is trading across borders: time to export: border compliance (hours) (db1 in Fiji?: Trading across borders: time to export: border compliance (hours) (db1 in Fiji was 65.41 in 2019, according to the World Bank.
What is the highest trading across borders: time to export: border compliance (hours) (db1 recorded in Fiji?: The highest recorded value was 65.41 in 2014.
What is the lowest trading across borders: time to export: border compliance (hours) (db1 recorded in Fiji?: The lowest recorded value was 65.41 in 2014.
How does Fiji rank for trading across borders: time to export: border compliance (hours) (db1?: Fiji ranks 114th out of 188 countries with data for 2019.
Is trading across borders: time to export: border compliance (hours) (db1 rising or falling in Fiji?: Over the last ten years it is unchanged. The long-run trend across the full record is flat.
Where does this Fiji data come from?: The figures come from the World Bank, published as part of Trading across borders: Time to export: 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 export: 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 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.