Algeria vs Papua New Guinea: Dimension 2.1: Data Releases

Algeria
0.5
in 2023
Papua New Guinea
0.5
in 2023
Algeria rank
79th
Papua New Guinea rank
79th

Dimension 2.1: Data Releases over time

  • Algeria
  • Papua New Guinea
00.10.20.30.40.5201620192023

How they compare

Algeria currently reports 0.5 against 0.5 in Papua New Guinea, a difference of 0.

Across all 8 years both countries report, Papua New Guinea has been ahead every year.

Algeria ranks 79th and Papua New Guinea ranks 79th of 214 countries.

Head to head by decade

Decade Algeria Papua New Guinea Difference Ahead
2010s 0.375 0.375 0
2020s 0.5 0.5 0

Averages of every year both report within each decade.

Frequently asked questions

Which has higher dimension 2.1: data releases, Algeria or Papua New Guinea?
Algeria, at 0.5 against 0.5 in Papua New Guinea as of 2023.
What is the difference in dimension 2.1: data releases between Algeria and Papua New Guinea?
0, with Algeria ahead.
How many years of comparable data are there for Algeria and Papua New Guinea?
8 years are reported by both, from 2016 to 2023.
How do Algeria and Papua New Guinea rank globally for dimension 2.1: data releases?
Algeria ranks 79th and Papua New Guinea ranks 79th 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.