Georgia vs Suriname: Ilo national vs modeled data, gaps filled

Georgia
8.01
in 2024
Suriname
7.92
in 2016
Georgia rank
52nd
Suriname rank
53rd

Ilo national vs modeled data, gaps filled over time

  • Georgia
  • Suriname
05101520198620052024

How they compare

Georgia currently reports 8.01 against 7.92 in Suriname, a difference of 0.09.

The two have swapped places 1 time across 13 shared years of data; in 1996 it was Suriname ahead.

Georgia ranks 52nd and Suriname ranks 53rd of 185 countries.

Across the 3 decades both report, Georgia averaged higher in 2 and Suriname in 1.

Head to head by decade

Decade Georgia Suriname Difference Ahead
1990s 8.93 11.49 2.56 Suriname
2000s 16.67 9.1 7.57 Georgia
2010s 18.49 7.35 11.14 Georgia

Averages of every year both report within each decade.

Frequently asked questions

Which has higher ilo national vs modeled data, gaps filled, Georgia or Suriname?
Georgia, at 8.01 against 7.92 in Suriname as of 2024.
What is the difference in ilo national vs modeled data, gaps filled between Georgia and Suriname?
0.09, with Georgia ahead.
How many years of comparable data are there for Georgia and Suriname?
13 years are reported by both, from 1996 to 2016.
How do Georgia and Suriname rank globally for ilo national vs modeled data, gaps filled?
Georgia ranks 52nd and Suriname ranks 53rd of 185 countries.
Where does this data come from?
Statizoid (derived), published as Ilo national vs modeled data, gaps filled. Statizoid refreshes it automatically from the source and publishes the full history for both places.

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Georgia vs Suriname: Ilo national vs modeled data, gaps filled. Statizoid, drawing on Statizoid (derived). Retrieved 14 November 2026, from https://reference.statizoid.com/compare/ilo-national-vs-modeled-data-gaps-filled/georgia/suriname/

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About this data

Indicator
Ilo national vs modeled data, gaps filled
Source
Statizoid (derived)
Licence
Derived by Statizoid from the sources named on the page
Coverage
185 places, 5,720 data points, 1960–2025
Last refreshed

Ilo national vs modeled data with 551 missing years estimated by linear interpolation between the nearest real observations. Only gaps of 4 years or fewer are filled, and never beyond the first or last actual measurement — these are filled holes, not forecasts.