Myanmar: Insurance and financial services (% of service imports, BoP)

Key figures

Over five years it is down 0.19 percentage points from 1.83% in 2014. Since 1976 it is down 4.36 percentage points from 6% in 1976. The World Bank has no value for 16 of the years in between; the chart leaves those gaps open rather than joining across them.

What the numbers say

In 2019, Myanmar's insurance and financial services (% of service imports, BoP) rose 0.02 percentage points on 2018 (from 1.62% to 1.64%).

Across the 25 yearly changes before that (1977 to 2018), the average change was −0.39 percentage points and a typical year strayed about 3.76 percentage points from that (the standard deviation). This year's change was 0.1 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 7.79 percentage points in 1985 and the biggest yearly fall was 7.15 percentage points in 1987. The numbers show how large and when, not why; for the cause, look at what happened in that country in those years.

From 2012 to 2019 the straight-line trend is downward, about 0.53 percentage points a year. A straight line explains 62% of the movement over 8 observed years.

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.

What this measures

Insurance and financial services cover various types of insurance provided to nonresidents by resident insurance enterprises and vice versa, and financial intermediary and auxiliary services (except those of insurance enterprises and pension funds) exchanged between residents and nonresidents. This indicator is expressed as a percentage of service imports which are services provided by non-residents to residents.

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

All 28 values

Insurance and financial services (% of service imports, BoP) in nearby economies

• Australia — 2.42% (2025)
• Brunei Darussalam — 2.28% (2025)
• Cambodia — 8.84% (2025)
• China — 3.04% (2025)
• Fiji — 7.75% (2024)
• French Polynesia — 5.18% (2016)
• Hong Kong SAR, China — 12.62% (2025)
• Indonesia — 9.51% (2025)
• Japan — 12.71% (2025)

More economic policy & debt data for Myanmar

• GDP (current US$) — US$81.67 billion (2025)
• GDP (current LCU) — 171.5 trillion (2025)
• GDP (constant 2015 US$) — US$61.87 billion (2025)
• GDP (constant LCU) — 75.47 trillion (2025)
• GDP per capita (current US$) — US$1,489 (2025)
• GDP per capita (current LCU) — 3.13 million (2025)
• GDP per capita (constant 2015 US$) — US$1,128 (2025)
• GDP per capita (constant LCU) — 1.38 million (2025)
• GNI (current US$) — US$79.99 billion (2025)
• GNI (current LCU) — 167.97 trillion (2025)
• GNI per capita (current LCU) — 3.06 million (2025)

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Questions people ask

What is Myanmar's insurance and financial services (% of service imports, BoP)?

1.64% in 2019, according to the World Bank (World Development Indicators).

How has it changed since 1976?

It is down 4.36 percentage points from 6% in 1976. The highest value was 10.98% in 1992 and the lowest 0.48% in 1995.

Is the latest change in insurance and financial services (% of service imports, BoP) unusual for Myanmar?

In 2019, Myanmar's insurance and financial services (% of service imports, BoP) rose 0.02 percentage points on 2018 (from 1.62% to 1.64%). Across the 25 yearly changes before that (1977 to 2018), the average change was −0.39 percentage points and a typical year strayed about 3.76 percentage points from that (the standard deviation). This year's change was 0.1 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?

Source

World Bank, World Development Indicators, indicator BM.GSR.INSF.ZS, licensed CC BY 4.0. Original source: Balance of Payments Statistics Yearbook and data files, International Monetary Fund (IMF) 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.

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