Enforcing contracts: Court automation (0-4) in Azerbaijan

Azerbaijan: Enforcing contracts: Court automation (0-4) was 2.5 DB17-20 methodology in 2019. ◆ Volatile

Latest (2019)
2.5 DB17-20 methodology
Change on year
up 66.7%
World rank
25th
of 191 countries
All-time high
2.5 DB17-20 methodology
in 2019
All-time low
0.5 DB17-20 methodology
in 2015
Years of data
5
2015–2019

Enforcing contracts: Court automation (0-4) in Azerbaijan, 2015–2019

0.511.522.52015201720192015: 0.5 DB17-20 methodology2016: 0.5 DB17-20 methodology2017: 1.5 DB17-20 methodology2018: 1.5 DB17-20 methodology2019: 2.5 DB17-20 methodology

Source: World Bank. Measured in DB17-20 methodology.

Analysis

The most recent figure for enforcing contracts: court automation (0-4) in Azerbaijan is 2.5 DB17-20 methodology, measured in 2019. That is the highest value across all 5 years on record.

That represents a change of up 66.7% on the previous year and up 400.0% over five years.

That places Azerbaijan 25th out of 191 countries with data for 2019, putting it in the top quarter.

Enforcing contracts: Court automation (0-4) in Azerbaijan, year by year

Annual values for Enforcing contracts: Court automation (0-4) (DB17-20 methodology) in Azerbaijan, 2015 to 2019.
Year DB17-20 methodology Change
2015 0.5 DB17-20 methodology —
2016 0.5 DB17-20 methodology +0.0%
2017 1.5 DB17-20 methodology +200.0%
2018 1.5 DB17-20 methodology +0.0%
2019 2.5 DB17-20 methodology +66.7%

Azerbaijan compared with similar countries

  • Azerbaijan's 2.5 DB17-20 methodology is above the median for upper middle income countries, which is 1 DB17-20 methodology, 2.5× the median. (56 countries reporting)
  • Azerbaijan's 2.5 DB17-20 methodology is above the median for Europe & Central Asia, which is 2 DB17-20 methodology, 1.2× the median. (49 countries reporting)

Countries ranked near Azerbaijan

  1. 25 Brunei 2.5 DB17-20 methodology compare
  2. 25 Finland 2.5 DB17-20 methodology compare
  3. 25 Georgia 2.5 DB17-20 methodology compare
  4. 25 Hungary 2.5 DB17-20 methodology compare
  5. 25 Malaysia 2.5 DB17-20 methodology compare
  6. 25 Portugal 2.5 DB17-20 methodology compare
  7. 25 Puerto Rico 2.5 DB17-20 methodology compare
  8. 25 Spain 2.5 DB17-20 methodology compare
  9. 25 Switzerland 2.5 DB17-20 methodology compare

See the full ranking of 191 places →

More reference data data for Azerbaijan

All data for Azerbaijan →

Frequently asked questions

What is enforcing contracts: court automation (0-4) in Azerbaijan?
Enforcing contracts: court automation (0-4) in Azerbaijan was 2.5 DB17-20 methodology in 2019, according to the World Bank.
What is the highest enforcing contracts: court automation (0-4) recorded in Azerbaijan?
The highest recorded value was 2.5 DB17-20 methodology in 2019.
What is the lowest enforcing contracts: court automation (0-4) recorded in Azerbaijan?
The lowest recorded value was 0.5 DB17-20 methodology in 2015.
How does Azerbaijan rank for enforcing contracts: court automation (0-4)?
Azerbaijan ranks 25th out of 191 countries with data for 2019.
Where does this Azerbaijan data come from?
The figures come from the World Bank, published as part of Enforcing contracts: Court automation (0-4) (DB17-20 methodology). Statizoid updates them automatically from the source API.

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Enforcing contracts: Court automation (0-4) in Azerbaijan. Statizoid. Retrieved 29 September 2026, from https://reference.statizoid.com/stat/enforcing-contracts-court-automation-0-4-db17-20-methodology/azerbaijan/

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About this data

Indicator
Enforcing contracts: Court automation (0-4) (DB17-20 methodology)
Unit
DB17-20 methodology
Source
World Bank
Licence
CC BY 4.0 (World Bank Open Data)
Coverage
191 places, 955 data points, 2015–2019
Last refreshed

The court automation evaluates four aspects: (i) whether the initial complaint can be filed electronically; (ii) whether the initial complaint can be served electronically; (iii) whether court fees can be paid electronically; and (iv) whether judgments rendered in commercial matters are made available to the public. The index is computed based on the methodology in the DB17-20 studies.