Statistical performance indicators (SPI): Pillar 1 data use score in Sri Lanka
Sri Lanka: Statistical performance indicators (SPI): Pillar 1 data use score was 90 scale 0-100 in 2024. ▲ Rising
Statistical performance indicators (SPI): Pillar 1 data use score in Sri Lanka, 2004–2024
Source: Statistical Performance Indicators, World Bank (WB). Measured in scale 0-100.
Analysis
Sri Lanka recorded 90 scale 0-100 for statistical performance indicators (spi): pillar 1 data use score in 2024.
That represents a change of up 50.0% over ten years.
Over the whole period, statistical performance indicators (spi): pillar 1 data use score in Sri Lanka peaked at 100 scale 0-100 in 2016 and was at its lowest, 20 scale 0-100, in 2004.
Sri Lanka ranks 61st of 215 countries on this measure, in the middle of the range.
The long-run direction has been consistently rising across the 21 years of available data.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 31.67 scale 0-100 | 20 scale 0-100 | 40 scale 0-100 | 6 |
| 2010s | 76 scale 0-100 | 60 scale 0-100 | 100 scale 0-100 | 10 |
| 2020s | 94 scale 0-100 | 90 scale 0-100 | 100 scale 0-100 | 5 |
Countries ranked near Sri Lanka
- 61 Argentina 90 scale 0-100 compare
- 61 Armenia 90 scale 0-100 compare
- 61 Benin 90 scale 0-100 compare
- 61 Burkina Faso 90 scale 0-100 compare
- 61 El Salvador 90 scale 0-100 compare
- 61 Ethiopia 90 scale 0-100 compare
- 61 Gambia 90 scale 0-100 compare
- 61 Guatemala 90 scale 0-100 compare
- 61 Honduras 90 scale 0-100 compare
- 61 Hungary 90 scale 0-100 compare
- 61 Kenya 90 scale 0-100 compare
- 61 Laos 90 scale 0-100 compare
- 61 Mauritius 90 scale 0-100 compare
- 61 Mongolia 90 scale 0-100 compare
- 61 Montenegro 90 scale 0-100 compare
- 61 Mozambique 90 scale 0-100 compare
- 61 Niger 90 scale 0-100 compare
- 61 Pakistan 90 scale 0-100 compare
- 61 Rwanda 90 scale 0-100 compare
- 61 Seychelles 90 scale 0-100 compare
- 61 Slovakia 90 scale 0-100 compare
- 61 Tunisia 90 scale 0-100 compare
- 61 United Arab Emirates 90 scale 0-100 compare
- 61 Uzbekistan 90 scale 0-100 compare
- 61 Zambia 90 scale 0-100 compare
More public sector data for Sri Lanka
- Arms imports 9.00 million SIPRI trend indicator values (2024)
- Tax revenue 9.9% (2023)
- Taxes on income, profits and capital gains 29.6% (2023)
- Taxes on goods and services 46.1% (2023)
- Net investment in nonfinancial assets 2.4% (2023)
- Net lending (+) / net borrowing (-) -9.2% (2023)
- Interest payments 79.9% (2023)
- Grants and other revenue 10.3% (2023)
- Interest payments 49.4% (2023)
- Other taxes 0.0% (2023)
Frequently asked questions
- What is statistical performance indicators (spi): pillar 1 data use score in Sri Lanka?
- Statistical performance indicators (spi): pillar 1 data use score in Sri Lanka was 90 scale 0-100 in 2024, according to Statistical Performance Indicators, World Bank (WB).
- What is the highest statistical performance indicators (spi): pillar 1 data use score recorded in Sri Lanka?
- The highest recorded value was 100 scale 0-100 in 2016.
- What is the lowest statistical performance indicators (spi): pillar 1 data use score recorded in Sri Lanka?
- The lowest recorded value was 20 scale 0-100 in 2004.
- How does Sri Lanka rank for statistical performance indicators (spi): pillar 1 data use score?
- Sri Lanka ranks 61st out of 215 countries with data for 2024.
- Is statistical performance indicators (spi): pillar 1 data use score rising or falling in Sri Lanka?
- Over the last ten years it is up 50.0%. The long-run trend across the full record is rising.
- Where does this Sri Lanka data come from?
- The figures come from Statistical Performance Indicators, World Bank (WB), published as part of Statistical performance indicators (SPI): Pillar 1 data use score (scale 0-100). Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 21 observations, free to reuse under CC BY 4.0 (World Bank Open Data).
About this data
The data use overall score is a composite score measuring the demand side of the statistical system. The data use pillar is segmented by five types of users: (i) the legislature, (ii) the executive branch, (iii) civil society (including sub-national actors), (iv) academia and (v) international bodies. Each dimension would have associated indicators to measure performance. A mature system would score well across all dimensions whereas a less mature one would have weaker scores along certain dimensions. The gaps would give insights into prioritization among user groups and help answer questions as to why the existing services are not resulting in higher use of national statistics in a particular segment. Currently, the SPI only features indicators for one of the five dimensions of data use, which is data use by international organizations. Indicators on whether statistical systems are providing useful data to their national governments (legislature and executive branches), to civil society, and to academia are absent. Thus the dashboard does not yet assess if national statistical systems are meeting the data needs of a large swathe of users.