Zimbabwe: Financial Intermediary Services Indirectly Measured (FISIM) (constant LCU)

Key figures

Over five years it is up 100% from -337,100 in 2013. Since 2009 it is up 100% from -108,300 in 2009.

What the numbers say

In 2018, Zimbabwe's financial Intermediary Services Indirectly Measured (FISIM) (constant LCU) did not change 0 on 2017 (from 0 to 0).

Across the 8 yearly changes before that (2010 to 2017), the average change was +13,538 and a typical year strayed about 163,532 from that (the standard deviation). This year's change was 0.1 standard deviations below 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 410,500 in 2017 and the biggest yearly fall was 110,200 in 2010. The numbers show how large and when, not why; for the cause, look at what happened in that country in those years.

From 2009 to 2018 there is no clear straight-line trend: a straight line explains 3% 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

Financial intermediation services which are implicitly charged in the form of either the difference between a reference rate and the interest rate actually paid to depositors, or the difference between the interest rate charged to borrowers and a reference rate. This indicator is expressed in constant prices, meaning the series has been adjusted to account for price changes over time. The reference year for this adjustment varies by country. This series is expressed in local currency units.

All 10 values

Financial Intermediary Services Indirectly Measured (FISIM) (constant LCU) in nearby economies

• Burundi — 198.88 billion (2025)
• Central African Republic — 7.41 billion (2023)
• Comoros — 4.03 billion (2025)
• Congo, Dem. Rep. — 71.31 billion (2025)
• Congo, Rep. — 110.79 billion (2020)
• Equatorial Guinea — 63.54 billion (2025)
• Ethiopia — 28.22 billion (2025)
• Guinea — 1.14 trillion (2022)

More economic policy & debt data for Zimbabwe

• Gross Value Added (GVA) at basic prices (current US$) — US$48.51 billion (2025)
• Gross Value Added (GVA) at basic prices (current LCU) — 1.54 trillion (2025)
• GDP (current US$) — US$51.22 billion (2025)
• GDP (current LCU) — 1.63 trillion (2025)
• GDP (constant 2015 US$) — US$25.48 billion (2025)
• GDP (constant LCU) — 74.26 billion (2025)
• GDP per capita (current US$) — US$3,021 (2025)
• GDP per capita (current LCU) — 96,071 (2025)
• GDP per capita (constant 2015 US$) — US$1,503 (2025)
• GDP per capita (constant LCU) — 4,381 (2025)
• GNI (current US$)

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Questions people ask

What is Zimbabwe's financial Intermediary Services Indirectly Measured (FISIM) (constant LCU)?

0 in 2018, according to the World Bank (World Development Indicators).

How has it changed since 2009?

It is up 100% from -108,300 in 2009. The highest value was 0 in 2017 and the lowest -410,500 in 2016.

Is the latest change in financial Intermediary Services Indirectly Measured (FISIM) (constant LCU) unusual for Zimbabwe?

In 2018, Zimbabwe's financial Intermediary Services Indirectly Measured (FISIM) (constant LCU) did not change 0 on 2017 (from 0 to 0). Across the 8 yearly changes before that (2010 to 2017), the average change was +13,538 and a typical year strayed about 163,532 from that (the standard deviation). This year's change was 0.1 standard deviations below that average, so it was an ordinary year: it sits within the range of normal year-to-year movement.

Source

World Bank, World Development Indicators, indicator NV.FSM.TOTL.KN, licensed CC BY 4.0. Original source: Country official statistics, National Statistical Organizations and/or Central Banks; National Accounts data files, Organisation for Economic Co-operation and Development (OECD); Staff estimates, 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.

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