Dimension 2.2: Online access - Machine Readability Score in Brazil

Brazil: Dimension 2.2: Online access - Machine Readability Score was 0.926 in 2023. ▲ Rising

Latest (2023)
0.926
Change on year
unchanged
World rank
36th
of 180 countries
All-time high
0.926
in 2020
All-time low
0.443
in 2015
Years of data
9
2015–2023

Dimension 2.2: Online access - Machine Readability Score in Brazil, 2015–2023

00.20.40.60.812015201920232015: 0.4432016: 0.7132017: 0.7432018: 0.8972019: 0.8972020: 0.9262021: 0.9262022: 0.9262023: 0.926

Source: Open Data Watch.

Analysis

In 2023, dimension 2.2: online access - machine readability score in Brazil stood at 0.926. That is the highest value across all 9 years on record.

Compared with earlier readings it is up 109.0% over ten years.

Over the whole period, dimension 2.2: online access - machine readability score in Brazil peaked at 0.926 in 2020 and was at its lowest, 0.443, in 2015.

That places Brazil 36th out of 180 countries with data for 2023, putting it in the top quarter.

Dimension 2.2: Online access - Machine Readability Score in Brazil, year by year

Annual values for Dimension 2.2: Online access - Machine Readability Score in Brazil, 2015 to 2023.
Year Value Change
2015 0.443 —
2016 0.713 +60.9%
2017 0.743 +4.2%
2018 0.897 +20.7%
2019 0.897 +0.0%
2020 0.926 +3.2%
2021 0.926 +0.0%
2022 0.926 +0.0%
2023 0.926 +0.0%

Brazil compared with similar countries

  • Brazil's 0.926 is above the median for upper middle income countries, which is 0.6035, 1.5× the median. (54 countries reporting)
  • Brazil's 0.926 is above the median for Latin America & Caribbean, which is 0.577, 1.6× the median. (28 countries reporting)

Averages by decade

DecadeAverage LowestHighest Years
2010s 0.7386 0.443 0.897 5
2020s 0.926 0.926 0.926 4

Countries ranked near Brazil

  1. 37 Luxembourg 0.917 compare
  2. 37 Malaysia 0.917 compare
  3. 37 Serbia 0.917 compare
  4. 37 United States 0.917 compare

See the full ranking of 180 places →

More reference data data for Brazil

All data for Brazil →

Frequently asked questions

What is dimension 2.2: online access - machine readability score in Brazil?
Dimension 2.2: online access - machine readability score in Brazil was 0.926 in 2023, according to Open Data Watch.
What is the highest dimension 2.2: online access - machine readability score recorded in Brazil?
The highest recorded value was 0.926 in 2020.
What is the lowest dimension 2.2: online access - machine readability score recorded in Brazil?
The lowest recorded value was 0.443 in 2015.
How does Brazil rank for dimension 2.2: online access - machine readability score?
Brazil ranks 36th out of 180 countries with data for 2023.
Is dimension 2.2: online access - machine readability score rising or falling in Brazil?
Over the last ten years it is up 109.0%. The long-run trend across the full record is rising.
Where does this Brazil data come from?
The figures come from Open Data Watch, published as part of Dimension 2.2: Online access - Machine Readability Score. Statizoid updates them automatically from the source API.

Download this data

CSV · JSON — 9 observations, free to reuse under CC BY 4.0 (World Bank Open Data).

Share, cite or embed this page

Cite this page

Dimension 2.2: Online access - Machine Readability Score in Brazil. Statizoid, drawing on Open Data Watch. Retrieved 24 September 2026, from https://reference.statizoid.com/stat/dimension-2-2-online-access-machine-readability-score/brazil/

Embed or link this data

Paste this into a page to link back to these figures. The data itself is free to reuse under CC BY 4.0 (World Bank Open Data); please keep the attribution.

<a href="https://reference.statizoid.com/stat/dimension-2-2-online-access-machine-readability-score/brazil/">Dimension 2.2: Online access - Machine Readability Score in Brazil</a> — Statizoid

About this data

Indicator
Dimension 2.2: Online access - Machine Readability Score
Source
Open Data Watch
Licence
CC BY 4.0 (World Bank Open Data)
Coverage
180 places, 1,560 data points, 2015–2023
Last refreshed

This openness element measures whether data are made available in machine readable formats. Machine readable file formats allow users to easily process data using a computer. Common machine readable formats include XLS, XLSX, CSV, and JSON files.