Statistical performance indicators (SPI): Pillar 5 data infrastructure in Latvia
Latvia: Statistical performance indicators (SPI): Pillar 5 data infrastructure was 85 scale 0-100 in 2024. ▼ Falling
Statistical performance indicators (SPI): Pillar 5 data infrastructure in Latvia, 2016–2024
Source: Statistical Performance Indicators, World Bank (WB). Measured in scale 0-100.
Analysis
Latvia recorded 85 scale 0-100 for statistical performance indicators (spi): pillar 5 data infrastructure in 2024. That is the lowest value across all 9 years on record.
Compared with earlier readings it is down 15.0% on the previous year and down 15.0% over ten years.
Over the whole period, statistical performance indicators (spi): pillar 5 data infrastructure in Latvia peaked at 100 scale 0-100 in 2016 and was at its lowest, 85 scale 0-100, in 2024.
Latvia ranks 24th of 191 countries on this measure, in the top quarter.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 100 scale 0-100 | 100 scale 0-100 | 100 scale 0-100 | 4 |
| 2020s | 97 scale 0-100 | 85 scale 0-100 | 100 scale 0-100 | 5 |
Countries ranked near Latvia
- 24 Austria 85 scale 0-100 compare
- 24 Burkina Faso 85 scale 0-100 compare
- 24 Cyprus 85 scale 0-100 compare
- 24 Czechia 85 scale 0-100 compare
- 24 Denmark 85 scale 0-100 compare
- 24 Dominican Republic 85 scale 0-100 compare
- 24 Finland 85 scale 0-100 compare
- 24 France 85 scale 0-100 compare
- 24 Germany 85 scale 0-100 compare
- 24 Greece 85 scale 0-100 compare
- 24 Ireland 85 scale 0-100 compare
- 24 Italy 85 scale 0-100 compare
- 24 Lithuania 85 scale 0-100 compare
- 24 Luxembourg 85 scale 0-100 compare
- 24 Malaysia 85 scale 0-100 compare
- 24 Moldova 85 scale 0-100 compare
- 24 Netherlands 85 scale 0-100 compare
- 24 Slovenia 85 scale 0-100 compare
- 24 Spain 85 scale 0-100 compare
- 24 Switzerland 85 scale 0-100 compare
- 24 Thailand 85 scale 0-100 compare
- 24 Uganda 85 scale 0-100 compare
- 24 Ukraine 85 scale 0-100 compare
- 24 United Arab Emirates 85 scale 0-100 compare
- 24 United Kingdom 85 scale 0-100 compare
More public sector data for Latvia
- Arms imports 10.00 million SIPRI trend indicator values (2024)
- Tax revenue 17.6% (2024)
- Taxes on income, profits and capital gains 10.3% (2024)
- Taxes on goods and services 38.9% (2024)
- Net investment in nonfinancial assets 5.1% (2024)
- Net lending (+) / net borrowing (-) -2.0% (2024)
- Interest payments 2.7% (2024)
- Grants and other revenue 19.0% (2024)
- Interest payments 1.9% (2023)
- Other taxes 0.1% (2024)
Frequently asked questions
- What is statistical performance indicators (spi): pillar 5 data infrastructure in Latvia?
- Statistical performance indicators (spi): pillar 5 data infrastructure in Latvia was 85 scale 0-100 in 2024, according to Statistical Performance Indicators, World Bank (WB).
- What is the highest statistical performance indicators (spi): pillar 5 data infrastructure recorded in Latvia?
- The highest recorded value was 100 scale 0-100 in 2016.
- What is the lowest statistical performance indicators (spi): pillar 5 data infrastructure recorded in Latvia?
- The lowest recorded value was 85 scale 0-100 in 2024.
- How does Latvia rank for statistical performance indicators (spi): pillar 5 data infrastructure?
- Latvia ranks 24th out of 191 countries with data for 2024.
- Is statistical performance indicators (spi): pillar 5 data infrastructure rising or falling in Latvia?
- Over the last ten years it is down 15.0%. The long-run trend across the full record is falling.
- Where does this Latvia data come from?
- The figures come from Statistical Performance Indicators, World Bank (WB), published as part of Statistical performance indicators (SPI): Pillar 5 data infrastructure score (scale 0-100). Statizoid updates them automatically from the source API.
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About this data
The data infrastructure pillar overall score measures the hard and soft infrastructure segments, itemizing essential cross cutting requirements for an effective statistical system. The segments are: (i) legislation and governance covering the existence of laws and a functioning institutional framework for the statistical system; (ii) standards and methods addressing compliance with recognized frameworks and concepts; (iii) skills including level of skills within the statistical system and among users (statistical literacy); (iv) partnerships reflecting the need for the statistical system to be inclusive and coherent; and (v) finance mobilized both domestically and from donors.