Statistical performance indicators (SPI): Pillar 4 data sources score in Armenia
Armenia: Statistical performance indicators (SPI): Pillar 4 data sources score was 71.93 scale 0-100 in 2024. ▲ Rising
Statistical performance indicators (SPI): Pillar 4 data sources score in Armenia, 2015–2024
Source: Statistical Performance Indicators, World Bank (WB). Measured in scale 0-100.
Analysis
Armenia recorded 71.93 scale 0-100 for statistical performance indicators (spi): pillar 4 data sources score in 2024. That is the highest value across all 10 years on record.
The figure is up 8.6% on the previous year and up 9.3% over ten years.
Over the whole period, statistical performance indicators (spi): pillar 4 data sources score in Armenia peaked at 71.93 scale 0-100 in 2024 and was at its lowest, 59.94 scale 0-100, in 2019.
That places Armenia 60th out of 182 countries with data for 2024, putting it in the middle of the range.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 63.33 scale 0-100 | 59.94 scale 0-100 | 65.84 scale 0-100 | 5 |
| 2020s | 66.55 scale 0-100 | 60.89 scale 0-100 | 71.93 scale 0-100 | 5 |
Countries ranked near Armenia
- 57 Argentina 72.92 scale 0-100 compare
- 58 Turkey 71.99 scale 0-100 compare
- 59 Philippines 71.98 scale 0-100 compare
- 61 Jordan 71.7 scale 0-100 compare
- 62 South Africa 71.25 scale 0-100 compare
- 63 Kyrgyzstan 70.87 scale 0-100 compare
More public sector data for Armenia
- Arms imports 21.00 million SIPRI trend indicator values (2024)
- Tax revenue 22.4% (2024)
- Taxes on income, profits and capital gains 39.6% (2024)
- Taxes on goods and services 48.2% (2024)
- Net investment in nonfinancial assets 5.3% (2024)
- Net lending (+) / net borrowing (-) -3.6% (2024)
- Interest payments 12.6% (2024)
- Grants and other revenue 8.4% (2024)
- Interest payments 12.7% (2023)
- Other taxes 0.7% (2024)
Frequently asked questions
- What is statistical performance indicators (spi): pillar 4 data sources score in Armenia?
- Statistical performance indicators (spi): pillar 4 data sources score in Armenia was 71.93 scale 0-100 in 2024, according to Statistical Performance Indicators, World Bank (WB).
- What is the highest statistical performance indicators (spi): pillar 4 data sources score recorded in Armenia?
- The highest recorded value was 71.93 scale 0-100 in 2024.
- What is the lowest statistical performance indicators (spi): pillar 4 data sources score recorded in Armenia?
- The lowest recorded value was 59.94 scale 0-100 in 2019.
- How does Armenia rank for statistical performance indicators (spi): pillar 4 data sources score?
- Armenia ranks 60th out of 182 countries with data for 2024.
- Is statistical performance indicators (spi): pillar 4 data sources score rising or falling in Armenia?
- Over the last ten years it is up 9.3%. The long-run trend across the full record is rising.
- Where does this Armenia data come from?
- The figures come from Statistical Performance Indicators, World Bank (WB), published as part of Statistical performance indicators (SPI): Pillar 4 data sources score (scale 0-100). Statizoid updates them automatically from the source API.
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About this data
The data sources overall score is a composite measure of whether countries have data available from the following sources: Censuses and surveys, administrative data, geospatial data, and private sector/citizen generated data. The data sources (input) pillar is segmented by four types of sources generated by (i) the statistical office (censuses and surveys), and sources accessed from elsewhere such as (ii) administrative data, (iii) geospatial data, and (iv) private sector data and citizen generated data. The appropriate balance between these source types will vary depending on a country's institutional setting and the maturity of its statistical system. High scores should reflect the extent to which the sources being utilized enable the necessary statistical indicators to be generated. For example, a low score on environment statistics (in the data production pillar) may reflect a lack of use of (and low score for) geospatial data (in the data sources pillar). This type of linkage is inherent in the data cycle approach and can help highlight areas for investment required if country needs are to be met.