Curaçao: Discrepancy in expenditure estimate of GDP (current LCU)

Key figures

What the numbers say

In 2018, Curaçao's discrepancy in expenditure estimate of GDP (current LCU) rose 47,500 on 2017 (from 45,500 to 93,000).

Across the 12 yearly changes before that (2006 to 2017), the average change was +3,733 and a typical year strayed about 65,542 from that (the standard deviation). This year's change was 0.7 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 110,900 in 2013 and the biggest yearly fall was 88,200 in 2012. 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 the straight-line trend is upward, about 9,021 a year. A straight line explains 38% of the movement over 10 observed years.

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

Closest to Curaçao in the 2018 ranking

• Yemen, Rep. — 2nd of 2: -1 million

What this measures

Although the SNA ensures there is perfect consistency between the three measures of GDP, this is a conceptual consistency that in general does not emerge naturally from data compilations. This is because of the wide disparity of data sources that must be called on and the fact that any error in any source will lead to a difference between at least two of the GDP measures. In practice it is inevitable that many such data errors will exist and will become apparent in exercises such as the balancing of supply and use tables. 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.

All 14 values

Discrepancy in expenditure estimate of GDP (current LCU) in nearby economies

• Argentina — -15.01 trillion (2025)
• Aruba — -43.67 million (2024)
• Bahamas, The — -54 million (2024)
• Belize — -95.46 million (2024)
• Bolivia — 0 (2024)
• Brazil — 0 (2025)
• Chile — -886,300 (2025)
• Colombia — 0 (2025)
• Costa Rica — 100,000 (2025)
• Cuba

More economic policy & debt data for Curaçao

• Adjusted savings, education expenditure (% of GNI) — 4.86% (2021)
• Adjusted savings, mineral depletion (current US$) — US$0 (2021)
• Adjusted savings, energy depletion (current US$) — US$0 (2021)
• Agriculture, forestry, and fishing, value added (current US$) — US$9.93 million (2024)
• Agriculture, forestry, and fishing, value added (current LCU) — 17.77 million (2024)
• Agriculture, forestry, and fishing, value added (% of GDP) — 0.28% (2024)
• Manufacturing, value added (current US$) — US$103.98 million (2024)
• Manufacturing, value added (current LCU) — 186.12 million (2024)
• Manufacturing, value added (% of GDP)

Reading data like this

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Questions people ask

What is Curaçao's discrepancy in expenditure estimate of GDP (current LCU)?

93,000 in 2018, according to the World Bank (World Development Indicators).

How has it changed since 2005?

It is up 13,186% from 700 in 2005 (45.66% a year on average, compounded). The highest value was 95,400 in 2016 and the lowest -28,700 in 2006.

Is the latest change in discrepancy in expenditure estimate of GDP (current LCU) unusual for Curaçao?

In 2018, Curaçao's discrepancy in expenditure estimate of GDP (current LCU) rose 47,500 on 2017 (from 45,500 to 93,000). Across the 12 yearly changes before that (2006 to 2017), the average change was +3,733 and a typical year strayed about 65,542 from that (the standard deviation). This year's change was 0.7 standard deviations above 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 NY.GDP.DISC.CN, 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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