Democratic Republic of Congo vs India: Nominal Effecive Exchange Rate

Democratic Republic of Congo
72.59
in 2018
India
68.14
in 2024
Democratic Republic of Congo rank
90th
India rank
93rd

Nominal Effecive Exchange Rate over time

  • Democratic Republic of Congo
  • India
02.0k4.0k6.0k8.0k199420092024

How they compare

Democratic Republic of Congo currently reports 72.59 against 68.14 in India, a difference of 4.45.

That makes Democratic Republic of Congo's figure about 1.1 times India's.

The two have swapped places 1 time across 19 shared years of data; in 2000 it was Democratic Republic of Congo ahead.

Democratic Republic of Congo ranks 90th and India ranks 93rd of 112 countries.

Democratic Republic of Congo has averaged higher in every one of the 2 decades both report.

Head to head by decade

Decade Democratic Republic of Congo India Difference Ahead
2000s 1,053 110.56 942.34 Democratic Republic of Congo
2010s 100.64 82.03 18.61 Democratic Republic of Congo

Averages of every year both report within each decade.

Frequently asked questions

Which has higher nominal effecive exchange rate, Democratic Republic of Congo or India?
Democratic Republic of Congo, at 72.59 against 68.14 in India as of 2018.
What is the difference in nominal effecive exchange rate between Democratic Republic of Congo and India?
4.45, with Democratic Republic of Congo ahead.
How many years of comparable data are there for Democratic Republic of Congo and India?
19 years are reported by both, from 2000 to 2018.
How do Democratic Republic of Congo and India rank globally for nominal effecive exchange rate?
Democratic Republic of Congo ranks 90th and India ranks 93rd of 112 countries.
Where does this data come from?
World Bank staff calculations based on Datastream and IMF International Finance Statistics data, published as Nominal Effecive Exchange Rate. Statizoid refreshes it automatically from the source and publishes the full history for both places.

Individual pages

About this data

Indicator
Nominal Effecive Exchange Rate
Source
World Bank staff calculations based on Datastream and IMF International Finance Statistics data
Licence
CC BY 4.0 (World Bank Open Data)
Coverage
122 places, 2,930 data points, 1994–2024
Last refreshed

A measure of the value of a currency against a weighted average of several foreign currencies