Hungary vs East Timor: Getting electricity (DB16-20 methodology) - Score

Hungary
63.31
in 2019
East Timor
62.97
in 2019
Hungary rank
126th
East Timor rank
127th

Getting electricity (DB16-20 methodology) - Score over time

  • Hungary
  • East Timor
0204060201420162019

How they compare

Hungary currently reports 63.31 against 62.97 in East Timor, a difference of 0.34.

The two have swapped places 1 time across 6 shared years of data; in 2014 it was East Timor ahead.

Hungary ranks 126th and East Timor ranks 127th of 191 countries.

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

Frequently asked questions

Which has higher getting electricity (db16-20 methodology) - score, Hungary or East Timor?
Hungary, at 63.31 against 62.97 in East Timor as of 2019.
What is the difference in getting electricity (db16-20 methodology) - score between Hungary and East Timor?
0.34, with Hungary ahead.
How many years of comparable data are there for Hungary and East Timor?
6 years are reported by both, from 2014 to 2019.
How do Hungary and East Timor rank globally for getting electricity (db16-20 methodology) - score?
Hungary ranks 126th and East Timor ranks 127th of 191 countries.
Where does this data come from?
The World Bank, published as Getting electricity (DB16-20 methodology) - Score. Statizoid refreshes it automatically from the source and publishes the full history for both places.

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Hungary vs East Timor: Getting electricity (DB16-20 methodology) - Score. Statizoid. Retrieved 07 October 2026, from https://private-sector.statizoid.com/compare/getting-electricity-db16-20-methodology-score/hungary/timor-leste/

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About this data

Indicator
Getting electricity (DB16-20 methodology) - Score
Source
World Bank
Licence
CC BY 4.0 (World Bank Open Data)
Coverage
191 places, 1,145 data points, 2014–2019
Last refreshed

The score for getting electricity is the simple average of the scores for each of the component indicators: the procedures, time, cost for a business to obtain a permanent electricity connection and supply for a standardized warehouse, as well as the reliability of supply and transparency of tariffs index. The score is computed based on the methodology in the DB16-20 studies.