East Asia & Pacific (excluding high income) vs India: PPG, private creditors (NFL, US$), gaps filled

East Asia & Pacific (excluding high income)
36.69 billion NFL, US$
in 2024
India
22.40 billion NFL, US$
in 2024
East Asia & Pacific (excluding high income) rank
4th
India rank
2nd

PPG, private creditors (NFL, US$), gaps filled over time

  • East Asia & Pacific (excluding high income)
  • India
-50.0B050.0B100.0B150.0B197019972024

How they compare

East Asia & Pacific (excluding high income) currently reports 36.69 billion NFL, US$ against 22.40 billion NFL, US$ in India, a difference of 14.29 billion NFL, US$.

That makes East Asia & Pacific (excluding high income)'s figure about 1.6 times India's.

The two have swapped places 10 times across 55 shared years of data; in 1970 it was East Asia & Pacific (excluding high income) ahead.

East Asia & Pacific (excluding high income) ranks 4th and India ranks 2nd of 12 groups.

East Asia & Pacific (excluding high income) has averaged higher in every one of the 6 decades both report.

Head to head by decade

Decade East Asia & Pacific (excluding high income) India Difference Ahead
1970s 1.04 billion NFL, US$ -8.22 million NFL, US$ 1.05 billion NFL, US$ East Asia & Pacific (excluding high income)
1980s 3.50 billion NFL, US$ 2.17 billion NFL, US$ 1.33 billion NFL, US$ East Asia & Pacific (excluding high income)
1990s 4.99 billion NFL, US$ 861.09 million NFL, US$ 4.13 billion NFL, US$ East Asia & Pacific (excluding high income)
2000s 1.87 billion NFL, US$ 485.71 million NFL, US$ 1.39 billion NFL, US$ East Asia & Pacific (excluding high income)
2010s 46.61 billion NFL, US$ 9.10 billion NFL, US$ 37.51 billion NFL, US$ East Asia & Pacific (excluding high income)
2020s 43.81 billion NFL, US$ 4.77 billion NFL, US$ 39.04 billion NFL, US$ East Asia & Pacific (excluding high income)

Averages of every year both report within each decade.

Frequently asked questions

Which has higher ppg, private creditors (nfl, us$), gaps filled, East Asia & Pacific (excluding high income) or India?
East Asia & Pacific (excluding high income), at 36.69 billion NFL, US$ against 22.40 billion NFL, US$ in India as of 2024.
What is the difference in ppg, private creditors (nfl, us$), gaps filled between East Asia & Pacific (excluding high income) and India?
14.29 billion NFL, US$, with East Asia & Pacific (excluding high income) ahead.
How many years of comparable data are there for East Asia & Pacific (excluding high income) and India?
55 years are reported by both, from 1970 to 2024.
How do East Asia & Pacific (excluding high income) and India rank globally for ppg, private creditors (nfl, us$), gaps filled?
East Asia & Pacific (excluding high income) ranks 4th and India ranks 2nd of 12 groups.
Where does this data come from?
Statizoid (derived), published as PPG, private creditors (NFL, US$), gaps filled. Statizoid refreshes it automatically from the source and publishes the full history for both places.

Individual pages

Share, cite or embed this page

Cite this page

East Asia & Pacific (excluding high income) vs India: PPG, private creditors (NFL, US$), gaps filled. Statizoid, drawing on Statizoid (derived). Retrieved 09 September 2026, from https://debt.statizoid.com/compare/ppg-private-creditors-nfl-us-gaps-filled/east-asia-and-pacific-excluding-high-income/india/

Embed or link this data

Paste this into a page to link back to these figures. The data itself is free to reuse under Derived by Statizoid from the sources named on the page; please keep the attribution.

<a href="https://debt.statizoid.com/compare/ppg-private-creditors-nfl-us-gaps-filled/east-asia-and-pacific-excluding-high-income/india/">East Asia & Pacific (excluding high income) vs India: PPG, private creditors (NFL, US$), gaps filled</a> — Statizoid

About this data

Indicator
PPG, private creditors (NFL, US$), gaps filled
Unit
NFL, US$
Source
Statizoid (derived)
Licence
Derived by Statizoid from the sources named on the page
Coverage
131 places, 5,581 data points, 1970–2024
Last refreshed

PPG, private creditors (NFL, US$) with 100 missing years estimated by linear interpolation between the nearest real observations. Only gaps of 4 years or fewer are filled, and never beyond the first or last actual measurement — these are filled holes, not forecasts.