Statistical performance: Pillar 4 data sources score (scale) in Sri Lanka

Sri Lanka: Statistical performance: Pillar 4 data sources score (scale) was 64.07 scale 0-100 in 2024. ▼ Falling

Latest (2024)
64.07 scale 0-100
Change on year
down 17.8%
World rank
80th
of 183 countries
All-time high
82.12 scale 0-100
in 2020
All-time low
64.07 scale 0-100
in 2024
Years of data
10
2015–2024

Statistical performance indicators (SPI): Pillar 4 data sources score in Sri Lanka, 2015–2024

0204060802015201920242015: 81.7 scale 0-1002016: 78.8 scale 0-1002017: 75.8 scale 0-1002018: 78.8 scale 0-1002019: 77.1 scale 0-1002020: 82.1 scale 0-1002021: 82.1 scale 0-1002022: 82.1 scale 0-1002023: 78 scale 0-1002024: 64.1 scale 0-100

Source: Statistical Performance Indicators, World Bank (WB). Measured in scale 0-100.

Analysis

The most recent figure for statistical performance indicators (spi): pillar 4 data sources score in Sri Lanka is 64.07 scale 0-100, measured in 2024. That is the lowest value across all 10 years on record.

That represents a change of down 17.8% on the previous year and down 21.6% over ten years.

Over the whole period, statistical performance indicators (spi): pillar 4 data sources score in Sri Lanka peaked at 82.12 scale 0-100 in 2020 and was at its lowest, 64.07 scale 0-100, in 2024.

That places Sri Lanka 80th out of 183 countries with data for 2024, putting it in the middle of the range.

Statistical performance: Pillar 4 data sources score (scale) in Sri Lanka, year by year

Annual values for Statistical performance indicators (SPI): Pillar 4 data sources score (scale 0-100) in Sri Lanka, 2015 to 2024.
Year scale 0-100 Change
2015 81.7 scale 0-100 —
2016 78.85 scale 0-100 -3.5%
2017 75.83 scale 0-100 -3.8%
2018 78.75 scale 0-100 +3.9%
2019 77.1 scale 0-100 -2.1%
2020 82.12 scale 0-100 +6.5%
2021 82.12 scale 0-100 +0.0%
2022 82.12 scale 0-100 +0.0%
2023 77.96 scale 0-100 -5.1%
2024 64.07 scale 0-100 -17.8%

Sri Lanka compared with similar countries

  • Sri Lanka's 64.07 scale 0-100 is above the median for upper middle income countries, which is 63.66 scale 0-100, 1.0× the median. (56 countries reporting)
  • Sri Lanka's 64.07 scale 0-100 is above the median for South Asia, which is 63.22 scale 0-100, 1.0× the median. (6 countries reporting)

Averages by decade

DecadeAverage LowestHighest Years
2010s 78.45 scale 0-100 75.83 scale 0-100 81.7 scale 0-100 5
2020s 77.68 scale 0-100 64.07 scale 0-100 82.12 scale 0-100 5

Countries ranked near Sri Lanka

  1. 77 Bangladesh 66.67 scale 0-100 compare
  2. 78 Azerbaijan 66.33 scale 0-100 compare
  3. 79 Russia 65.08 scale 0-100 compare
  4. 81 Bahrain 63.94 scale 0-100 compare
  5. 82 Oman 63.66 scale 0-100 compare
  6. 83 Peru 63.26 scale 0-100 compare

See the full ranking of 187 places →

More public sector data for Sri Lanka

All data for Sri Lanka →

Frequently asked questions

What is statistical performance indicators (spi): pillar 4 data sources score in Sri Lanka?
Statistical performance indicators (spi): pillar 4 data sources score in Sri Lanka was 64.07 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 Sri Lanka?
The highest recorded value was 82.12 scale 0-100 in 2020.
What is the lowest statistical performance indicators (spi): pillar 4 data sources score recorded in Sri Lanka?
The lowest recorded value was 64.07 scale 0-100 in 2024.
How does Sri Lanka rank for statistical performance indicators (spi): pillar 4 data sources score?
Sri Lanka ranks 80th out of 183 countries with data for 2024.
Is statistical performance indicators (spi): pillar 4 data sources score rising or falling in Sri Lanka?
Over the last ten years it is down 21.6%. The long-run trend across the full record is falling.
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 4 data sources score (scale 0-100). Statizoid updates them automatically from the source API.

Download this data

CSV · JSON — 10 observations, free to reuse under CC BY 4.0 (World Bank Open Data).

Share, cite or embed this page

Cite this page

Statistical performance indicators (SPI): Pillar 4 data sources score in Sri Lanka. Statizoid, drawing on Statistical Performance Indicators, World Bank (WB). Retrieved 08 November 2026, from https://public-sector.statizoid.com/stat/statistical-performance-indicators-spi-pillar-4-data-sources-score-scale-0-100/sri-lanka/

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://public-sector.statizoid.com/stat/statistical-performance-indicators-spi-pillar-4-data-sources-score-scale-0-100/sri-lanka/">Statistical performance indicators (SPI): Pillar 4 data sources score in Sri Lanka</a> — Statizoid

About this data

Indicator
Statistical performance indicators (SPI): Pillar 4 data sources score (scale 0-100)
Unit
scale 0-100
Source
Statistical Performance Indicators, World Bank (WB)
Licence
CC BY 4.0 (World Bank Open Data)
Coverage
187 places, 1,776 data points, 2015–2024
Last refreshed

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.