Statistical performance indicators (SPI): Pillar 4 data sources score in Bangladesh

Bangladesh: Statistical performance indicators (SPI): Pillar 4 data sources score was 66.67 scale 0-100 in 2024. ▲ Rising

Latest (2024)
66.67 scale 0-100
Change on year
up 7.8%
World rank
77th
of 182 countries
All-time high
66.67 scale 0-100
in 2024
All-time low
45.07 scale 0-100
in 2015
Years of data
10
2015–2024

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

02040602015201920242015: 45.1 scale 0-1002016: 52.1 scale 0-1002017: 50.6 scale 0-1002018: 50.6 scale 0-1002019: 50.6 scale 0-1002020: 51.2 scale 0-1002021: 57.9 scale 0-1002022: 61.8 scale 0-1002023: 61.8 scale 0-1002024: 66.7 scale 0-100

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

Analysis

In 2024, statistical performance indicators (spi): pillar 4 data sources score in Bangladesh stood at 66.67 scale 0-100. That is the highest value across all 10 years on record.

That represents a change of up 7.8% on the previous year and up 47.9% over ten years.

Over the whole period, statistical performance indicators (spi): pillar 4 data sources score in Bangladesh peaked at 66.67 scale 0-100 in 2024 and was at its lowest, 45.07 scale 0-100, in 2015.

That places Bangladesh 77th out of 182 countries with data for 2024, putting it in the middle of the range.

Averages by decade

DecadeAverage LowestHighest Years
2010s 49.83 scale 0-100 45.07 scale 0-100 52.14 scale 0-100 5
2020s 59.88 scale 0-100 51.22 scale 0-100 66.67 scale 0-100 5

Countries ranked near Bangladesh

  1. 74 Thailand 67.53 scale 0-100 compare
  2. 75 Mauritius 67.33 scale 0-100 compare
  3. 76 Botswana 67.25 scale 0-100 compare
  4. 78 Azerbaijan 66.33 scale 0-100 compare
  5. 79 Russia 65.08 scale 0-100 compare
  6. 80 Sri Lanka 64.07 scale 0-100 compare

See the full ranking of 186 places →

More public sector data for Bangladesh

All data for Bangladesh →

Frequently asked questions

What is statistical performance indicators (spi): pillar 4 data sources score in Bangladesh?
Statistical performance indicators (spi): pillar 4 data sources score in Bangladesh was 66.67 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 Bangladesh?
The highest recorded value was 66.67 scale 0-100 in 2024.
What is the lowest statistical performance indicators (spi): pillar 4 data sources score recorded in Bangladesh?
The lowest recorded value was 45.07 scale 0-100 in 2015.
How does Bangladesh rank for statistical performance indicators (spi): pillar 4 data sources score?
Bangladesh ranks 77th out of 182 countries with data for 2024.
Is statistical performance indicators (spi): pillar 4 data sources score rising or falling in Bangladesh?
Over the last ten years it is up 47.9%. The long-run trend across the full record is rising.
Where does this Bangladesh 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

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
186 places, 1,766 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.