Nauru vs San Marino: Ilo national vs modeled data, gaps filled

Nauru
5.06
in 2021
San Marino
4.92
in 2022
Nauru rank
98th
San Marino rank
100th

Ilo national vs modeled data, gaps filled over time

  • Nauru
  • San Marino
0510152025197920002022

How they compare

Nauru currently reports 5.06 against 4.92 in San Marino, a difference of 0.14.

The two have swapped places 1 time across 9 shared years of data; in 2002 it was Nauru ahead.

Nauru ranks 98th and San Marino ranks 100th of 185 countries.

Across the 3 decades both report, Nauru averaged higher in 2 and San Marino in 1.

Head to head by decade

Decade Nauru San Marino Difference Ahead
2000s 15.48 2.62 12.86 Nauru
2010s 18.12 5.64 12.48 Nauru
2020s 5.06 6.31 1.25 San Marino

Averages of every year both report within each decade.

Frequently asked questions

Which has higher ilo national vs modeled data, gaps filled, Nauru or San Marino?
Nauru, at 5.06 against 4.92 in San Marino as of 2021.
What is the difference in ilo national vs modeled data, gaps filled between Nauru and San Marino?
0.14, with Nauru ahead.
How many years of comparable data are there for Nauru and San Marino?
9 years are reported by both, from 2002 to 2021.
How do Nauru and San Marino rank globally for ilo national vs modeled data, gaps filled?
Nauru ranks 98th and San Marino ranks 100th 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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Nauru vs San Marino: Ilo national vs modeled data, gaps filled. Statizoid, drawing on Statizoid (derived). Retrieved 13 November 2026, from https://reference.statizoid.com/compare/ilo-national-vs-modeled-data-gaps-filled/naoero/san-marino/

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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.