Ecuador vs Romania: Female to male wage ratio in the public sector

Ecuador
0.9129 using mean
in 2017
Romania
0.8924 using mean
in 2018
Ecuador rank
19th
Romania rank
20th

Female to male wage ratio in the public sector over time

  • Ecuador
  • Romania
00.20.40.60.81200020092018

How they compare

Ecuador currently reports 0.9129 using mean against 0.8924 using mean in Romania, a difference of 0.0205 using mean.

The two have swapped places 3 times across 11 shared years of data; in 2000 it was Romania ahead.

Ecuador ranks 19th and Romania ranks 20th of 60 countries.

Ecuador has averaged higher in every one of the 2 decades both report.

Head to head by decade

Decade Ecuador Romania Difference Ahead
2000s 0.8354 using mean 0.776 using mean 0.0594 using mean Ecuador
2010s 0.8864 using mean 0.8171 using mean 0.0693 using mean Ecuador

Averages of every year both report within each decade.

Frequently asked questions

Which has higher female to male wage ratio in the public sector, Ecuador or Romania?
Ecuador, at 0.9129 using mean against 0.8924 using mean in Romania as of 2017.
What is the difference in female to male wage ratio in the public sector between Ecuador and Romania?
0.0205 using mean, with Ecuador ahead.
How many years of comparable data are there for Ecuador and Romania?
11 years are reported by both, from 2000 to 2017.
How do Ecuador and Romania rank globally for female to male wage ratio in the public sector?
Ecuador ranks 19th and Romania ranks 20th of 60 countries.
Where does this data come from?
The World Bank, published as Female to male wage ratio in the public sector (using mean). Statizoid refreshes it automatically from the source and publishes the full history for both places.

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Ecuador vs Romania: Female to male wage ratio in the public sector. Statizoid. Retrieved 30 August 2026, from https://reference.statizoid.com/compare/female-to-male-wage-ratio-in-the-public-sector-using-mean/ecuador/romania/

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About this data

Indicator
Female to male wage ratio in the public sector (using mean)
Unit
using mean
Source
World Bank
Licence
CC BY 4.0 (World Bank Open Data)
Coverage
60 places, 739 data points, 2000–2021
Last refreshed