Myanmar's net errors and omissions (current US$, BoP) was −US$2.49 billion in 2019, the latest year in the World Bank's World Development Indicators. That is down 146.15% from −US$1.01 billion in 2009.
Key figures
| Value | Year | |
|---|---|---|
| Latest | −US$2.49 billion | 2019 |
| Five years earlier | US$1.85 billion | 2014 |
| Ten years earlier | −US$1.01 billion | 2009 |
| Highest | US$5.87 billion | 2012 |
| Lowest | −US$2.51 billion | 2013 |
| Average since 2010 | −US$280.37 million | 2010–2019 |
| First recorded | US$2.88 million |
What the numbers say
In 2019, Myanmar's net errors and omissions (current US$, BoP) fell US$3.02 billion on 2018 (from US$536.4 million to −US$2.49 billion).
Across the 30 yearly changes before that (1989 to 2018), the average change was +US$14.44 million and a typical year strayed about US$2.23 billion from that (the standard deviation). This year's change was 1.4 standard deviations below that average, so it was larger than a typical year, though not out of the range seen before.
On record, the biggest yearly rise was US$6 billion in 2012 and the biggest yearly fall was US$8.38 billion in 2013. The numbers show how large and when, not why; for the cause, look at what happened in that country in those years.
From 2010 to 2019 there is no clear straight-line trend: a straight line explains 6% of the movement over 10 observed years, so the value is moving around more than it is heading anywhere.
Worked out from the yearly values above. How the checks work: standard deviation, z-scores and straight-line trends.
What this measures
Net errors and omissions constitute a residual category needed to ensure that accounts in the balance of payments statement sum to zero. Net errors and omissions are derived as the balance on the financial account minus the balances on the current and capital accounts. This indicator is expressed in current prices, meaning no adjustment has been made to account for price changes over time. This indicator is expressed in United States dollars.
All 44 values
| Year | Net errors and omissions (current US$, BoP) |
|---|---|
| 2019 | -2,485,614,686 |
| 2018 | 536,398,947 |
| 2017 | -756,333,034 |
| 2016 | -2,147,581,041 |
| 2015 | -882,812,517 |
| 2014 | 1,850,303,349 |
| 2013 | -2,513,473,804 |
| 2012 | 5,865,108,773 |
| 2011 | -137,365,330 |
| 2010 | -2,132,295,162 |
Net errors and omissions (current US$, BoP) in nearby economies
- Australia — −US$8.02 billion (2025)
- Brunei Darussalam — −US$562.85 million (2025)
- Cambodia — US$1.41 billion (2025)
- China — US$38.5 billion (2025)
- Fiji — US$36.77 million (2024)
- French Polynesia — −US$34.59 million (2016)
- Hong Kong SAR, China — US$18.83 billion (2025)
- Indonesia — −US$2.48 billion (2025)
- Japan — −US$13.57 billion (2025)
- Kiribati
More economic policy & debt data for Myanmar
- GDP (current US$) — 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$79.99 billion (2025)
- GNI (current LCU) — 167.97 trillion (2025)
- GNI per capita (current LCU) — 3.06 million (2025)
Reading data like this
Questions people ask
- What is Myanmar's net errors and omissions (current US$, BoP)?
- −US$2.49 billion in 2019, according to the World Bank (World Development Indicators).
- How has it changed since 1976?
- It is down 86,395% from US$2.88 million in 1976. The highest value was US$5.87 billion in 2012 and the lowest −US$2.51 billion in 2013.
- Is the latest change in net errors and omissions (current US$, BoP) unusual for Myanmar?
- In 2019, Myanmar's net errors and omissions (current US$, BoP) fell US$3.02 billion on 2018 (from US$536.4 million to −US$2.49 billion). Across the 30 yearly changes before that (1989 to 2018), the average change was +US$14.44 million and a typical year strayed about US$2.23 billion from that (the standard deviation). This year's change was 1.4 standard deviations below that average, so it was larger than a typical year, though not out of the range seen before.
- Where does this data come from?
- The World Bank's World Development Indicators, licensed CC BY 4.0. Original source: Balance of Payments Statistics Yearbook and data files, International Monetary Fund (IMF).
Source
World Bank, World Development Indicators, indicator BN.KAC.EOMS.CD, 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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