Malaysia: IFC, private nonguaranteed (NFL, current US$)

Key figures

What the numbers say

In 2016, Malaysia's IFC, private nonguaranteed (NFL, current US$) did not change US$0 on 2015 (from US$0 to US$0).

Across the 30 yearly changes before that (1986 to 2015), the average change was +US$0 and a typical year strayed about US$22,611 from that (the standard deviation). This year's change was 0.0 standard deviations above that average, so it was an ordinary year: it sits within the range of normal year-to-year movement.

On record, the biggest yearly rise was US$86,100 in 2004 and the biggest yearly fall was US$86,100 in 2003. The numbers show how large and when, not why; for the cause, look at what happened in that country in those years.

From 2007 to 2016 there is no clear straight-line trend: a straight line explains less than 1% of the movement over 10 observed years, so the value is moving around more than it is heading anywhere.

Worked out from the yearly values above. How the checks work: standard deviation, z-scores and straight-line trends.

How it compares

See how every economy compares in the full ranking.

Closest to Malaysia in the 2016 ranking

• Hungary — 1st of 3: US$0
• Seychelles — 3rd of 3: US$0

What this measures

Nonguaranteed long-term debt privately placed from the International Finance Corporation (IFC). Net flows (or net lending or net disbursements) received by the borrower during the year are disbursements minus principal repayments. Data are in current U.S. dollars.

Regional and income-group figures are computed by the World Bank as a sum.

All 47 values

IFC, private nonguaranteed (NFL, current US$) in nearby economies

• Cambodia — −US$40.63 million (2024)
• China — US$319.08 million (2024)
• Fiji — US$0 (2024)
• Indonesia — −US$877,985 (2024)
• Lao PDR — −US$13.67 million (2024)
• Mongolia — US$126.08 million (2024)
• Myanmar — −US$15.7 million (2024)
• Papua New Guinea — US$0 (2024)
• Philippines — US$332.92 million (2024)
• Samoa — US$0 (2024)

More economic policy & debt data for Malaysia

• Total reserves, including gold (current US$) — US$125.63 billion (2025)
• Total reserves, excluding gold (current US$) — US$120.17 billion (2025)
• General government final consumption expenditure (current US$) — US$58.41 billion (2025)
• General government final consumption expenditure (current LCU) — 250.26 billion (2025)
• General government final consumption expenditure (constant 2015 US$) — US$59.37 billion (2025)
• General government final consumption expenditure (constant LCU) — 231.87 billion (2025)
• General government final consumption expenditure (% of GDP) — 12.37% (2025)
• Households and NPISHs final consumption expenditure (current US$) — US$291.01 billion (2025)

Reading data like this

• Where to find free public data, and how to check it before you trust it — 2 min read
• Data analysis examples: 6 worked from one dataset — 3 min read
• Real change or random noise? A plain guide to reading your numbers — 2 min read

Questions people ask

What is Malaysia's IFC, private nonguaranteed (NFL, current US$)?

US$0 in 2016, according to the World Bank (World Development Indicators).

Is the latest change in IFC, private nonguaranteed (NFL, current US$) unusual for Malaysia?

In 2016, Malaysia's IFC, private nonguaranteed (NFL, current US$) did not change US$0 on 2015 (from US$0 to US$0). Across the 30 yearly changes before that (1986 to 2015), the average change was +US$0 and a typical year strayed about US$22,611 from that (the standard deviation). This year's change was 0.0 standard deviations above that average, so it was an ordinary year: it sits within the range of normal year-to-year movement.

Where does this data come from?

The World Bank's World Development Indicators, licensed CC BY 4.0. Original source: International Debt Statistics, World Bank (WB).

Source

World Bank, World Development Indicators, indicator DT.NFL.NIFC.CD, licensed CC BY 4.0. Original source: International Debt Statistics, World Bank (WB) Figures are fetched from the World Bank API and refreshed monthly; see the series on data.worldbank.org. The full definition and method are in the World Bank's metadata glossary. Comparisons use the same World Bank release.

Want to ask your own questions of data like this? Try AnalyzeIt: upload a file or ask about public data in plain words, and every figure comes with its working.