Lithuania vs Mongolia: Dimension 2.1: Data Releases

Lithuania
1
in 2023
Mongolia
1
in 2023
Lithuania rank
1st
Mongolia rank
1st

Dimension 2.1: Data Releases over time

  • Lithuania
  • Mongolia
00.20.40.60.81200420132023

How they compare

Lithuania currently reports 1 against 1 in Mongolia, a difference of 0.

The two have swapped places 1 time across 8 shared years of data; in 2016 it was Lithuania ahead.

Lithuania ranks 1st and Mongolia ranks 1st of 214 countries.

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

Head to head by decade

Decade Lithuania Mongolia Difference Ahead
2010s 1 0.375 0.625 Lithuania
2020s 1 1 0

Averages of every year both report within each decade.

Frequently asked questions

Which has higher dimension 2.1: data releases, Lithuania or Mongolia?
Lithuania, at 1 against 1 in Mongolia as of 2023.
What is the difference in dimension 2.1: data releases between Lithuania and Mongolia?
0, with Lithuania ahead.
How many years of comparable data are there for Lithuania and Mongolia?
8 years are reported by both, from 2016 to 2023.
How do Lithuania and Mongolia rank globally for dimension 2.1: data releases?
Lithuania ranks 1st and Mongolia ranks 1st of 214 countries.
Where does this data come from?
Statistical Performance Indicators, The World Bank (https://datacatalog.worldbank.org/dataset/statistical-performance-indicators), published as Dimension 2.1: Data Releases. Statizoid refreshes it automatically from the source and publishes the full history for both places.

Individual pages

About this data

Indicator
Dimension 2.1: Data Releases
Source
Statistical Performance Indicators, The World Bank (https://datacatalog.worldbank.org/dataset/statistical-performance-indicators)
Licence
CC BY 4.0 (World Bank Open Data)
Coverage
217 places, 2,149 data points, 2004–2023
Last refreshed

SDDS/e-GDDS subscription. This indicator is based on whether the country subscribes to IMF SDDS+, SDDS, or e-GDDS standards. The source is the IMF Dissemination Standards Bulletin Board. This is a good data source but we recognize that it is a proxy for the concept we are seeking to capture rather than a direct measurement.