Eswatini vs Jordan: Statistical discrepancy (expenditure approach) (Current prices, US)

Eswatini
-166,482
in 2020
Jordan
-0
in 2007
Eswatini rank
34th
Jordan rank
33rd

Statistical discrepancy (expenditure approach) (Current prices, US) over time

  • Eswatini
  • Jordan
0100.0M200.0M300.0M400.0M196719932020

How they compare

Jordan currently reports -0 against -166,482 in Eswatini, a difference of 166,482.

The two have swapped places 3 times across 8 shared years of data; in 2000 it was Eswatini ahead.

Eswatini ranks 34th and Jordan ranks 33rd of 43 countries.

Eswatini has averaged higher in every one of the 1 decades both report.

Frequently asked questions

Which has higher statistical discrepancy (expenditure approach), Eswatini or Jordan?
Jordan, at -0 against -166,482 in Eswatini as of 2007.
What is the difference in statistical discrepancy (expenditure approach) between Eswatini and Jordan?
166,482, with Jordan ahead.
How many years of comparable data are there for Eswatini and Jordan?
8 years are reported by both, from 2000 to 2007.
How do Eswatini and Jordan rank globally for statistical discrepancy (expenditure approach)?
Eswatini ranks 34th and Jordan ranks 33rd of 43 countries.
Where does this data come from?
International Monetary Fund, published as Statistical discrepancy (expenditure approach) (Current prices, US dollar, Fixed base). Statizoid refreshes it automatically from the source and publishes the full history for both places.

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Eswatini vs Jordan: Statistical discrepancy (expenditure approach). Statizoid, drawing on International Monetary Fund. Retrieved 08 November 2026, from https://public-sector.statizoid.com/compare/statistical-discrepancy-expenditure-approach-current-prices-us-dollar-fixed-base/eswatini/jordan/

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About this data

Indicator
Statistical discrepancy (expenditure approach) (Current prices, US dollar, Fixed base)
Source
International Monetary Fund
Licence
IMF Terms and Conditions (attribution required)
Coverage
43 places, 1,097 data points, 1950–2025
Last refreshed

This dataset presents national, official estimates of annual expenditure-based Gross Domestic Product (GDP), by economy. Estimates are presented in nominal terms (current prices) and volume terms (with the effect of price changes removed).