Europe & Central Asia (excluding high income) vs Papua New Guinea: Net financial flows, IMF nonconcessional (NFL, current US$)

Europe & Central Asia (excluding high income)
-1.96 billion NFL, current US$
in 2025
Papua New Guinea
371.25 million NFL, current US$
in 2025
Europe & Central Asia (excluding high income) rank
12th
Papua New Guinea rank
11th

Net financial flows, IMF nonconcessional (NFL, current US$) over time

  • Europe & Central Asia (excluding high income)
  • Papua New Guinea
-10.0B-5.0B05.0B10.0B197019972025

How they compare

Papua New Guinea currently reports 371.25 million NFL, current US$ against -1.96 billion NFL, current US$ in Europe & Central Asia (excluding high income), a difference of 2.33 billion NFL, current US$.

The two have swapped places 7 times across 30 shared years of data; in 1976 it was Europe & Central Asia (excluding high income) ahead.

Europe & Central Asia (excluding high income) ranks 12th and Papua New Guinea ranks 11th of 13 groups.

Across the 5 decades both report, Europe & Central Asia (excluding high income) averaged higher in 4 and Papua New Guinea in 1.

Head to head by decade

Decade Europe & Central Asia (excluding high income) Papua New Guinea Difference Ahead
1970s 210.13 million NFL, current US$ 5.60 million NFL, current US$ 204.52 million NFL, current US$ Europe & Central Asia (excluding high income)
1980s -232.46 million NFL, current US$ -1.65 million NFL, current US$ 230.82 million NFL, current US$ Papua New Guinea
1990s 688.75 million NFL, current US$ 2.47 million NFL, current US$ 686.27 million NFL, current US$ Europe & Central Asia (excluding high income)
2000s 494.20 million NFL, current US$ -7.34 million NFL, current US$ 501.53 million NFL, current US$ Europe & Central Asia (excluding high income)
2020s 1.14 billion NFL, current US$ 194.18 million NFL, current US$ 949.10 million NFL, current US$ Europe & Central Asia (excluding high income)

Averages of every year both report within each decade.

Frequently asked questions

Which has higher net financial flows, imf nonconcessional, Europe & Central Asia (excluding high income) or Papua New Guinea?
Papua New Guinea, at 371.25 million NFL, current US$ against -1.96 billion NFL, current US$ in Europe & Central Asia (excluding high income) as of 2025.
What is the difference in net financial flows, imf nonconcessional between Europe & Central Asia (excluding high income) and Papua New Guinea?
2.33 billion NFL, current US$, with Papua New Guinea ahead.
How many years of comparable data are there for Europe & Central Asia (excluding high income) and Papua New Guinea?
30 years are reported by both, from 1976 to 2025.
How do Europe & Central Asia (excluding high income) and Papua New Guinea rank globally for net financial flows, imf nonconcessional?
Europe & Central Asia (excluding high income) ranks 12th and Papua New Guinea ranks 11th of 13 groups.
Where does this data come from?
International Debt Statistics, World Bank (WB), published as Net financial flows, IMF nonconcessional (NFL, current US$). Statizoid refreshes it automatically from the source and publishes the full history for both places.

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Europe & Central Asia (excluding high income) vs Papua New Guinea: Net financial flows, IMF nonconcessional. Statizoid, drawing on International Debt Statistics, World Bank (WB). Retrieved 12 November 2026, from https://debt.statizoid.com/compare/net-financial-flows-imf-nonconcessional-nfl-current-us/europe-and-central-asia-excluding-high-income/papua-new-guinea/

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About this data

Indicator
Net financial flows, IMF nonconcessional (NFL, current US$)
Unit
NFL, current US$
Source
International Debt Statistics, World Bank (WB)
Licence
CC BY 4.0 (World Bank Open Data)
Coverage
126 places, 4,412 data points, 1970–2025
Last refreshed

Net financial flows received by the borrower during the year are disbursements of loans and credits less repayments of principal. IMF is the International Monetary Fund, which provides nonconcessional lending through the credit it provides to its members, mainly to meet balance of payments needs. Data are in current U.S. dollars.