Myanmar vs Tanzania: Net lending (+) / net borrowing (-)
Net lending (+) / net borrowing (-) over time
- Myanmar
- Tanzania
How they compare
Myanmar currently reports -4.10 trillion current LCU against -4.85 trillion current LCU in Tanzania, a difference of 747.98 billion current LCU.
The two have swapped places 1 time across 8 shared years of data; in 2012 it was Myanmar ahead.
Myanmar ranks 146th and Tanzania ranks 147th of 156 countries.
Tanzania has averaged higher in every one of the 1 decades both report.
Frequently asked questions
- Which has higher net lending (+) / net borrowing (-), Myanmar or Tanzania?
- Myanmar, at -4.10 trillion current LCU against -4.85 trillion current LCU in Tanzania as of 2019.
- What is the difference in net lending (+) / net borrowing (-) between Myanmar and Tanzania?
- 747.98 billion current LCU, with Myanmar ahead.
- How many years of comparable data are there for Myanmar and Tanzania?
- 8 years are reported by both, from 2012 to 2019.
- How do Myanmar and Tanzania rank globally for net lending (+) / net borrowing (-)?
- Myanmar ranks 146th and Tanzania ranks 147th of 156 countries.
- Where does this data come from?
- Government Finance Statistics Yearbook and data files, International Monetary Fund (IMF), published as Net lending (+) / net borrowing (-) (current LCU). Statizoid refreshes it automatically from the source and publishes the full history for both places.
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About this data
Net lending (+) / net borrowing (–) equals government revenue minus expense, minus net investment in nonfinancial assets. It is also equal to the net result of transactions in financial assets and liabilities. Net lending/net borrowing is a summary measure indicating the extent to which government is either putting financial resources at the disposal of other sectors in the economy or abroad, or utilizing the financial resources generated by other sectors in the economy or from abroad. This indicator is expressed in current prices, meaning no adjustment has been made to account for price changes over time. This series is expressed in local currency units.