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

Bolivia: Statistical performance indicators (SPI): Pillar 4 data sources score was 60.19 scale 0-100 in 2024. ▲ Rising

Latest (2024)
60.19 scale 0-100
Change on year
down 1.6%
World rank
91st
of 182 countries
All-time high
65.35 scale 0-100
in 2022
All-time low
36.42 scale 0-100
in 2015
Years of data
10
2015–2024

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

02040602015201920242015: 36.4 scale 0-1002016: 58.4 scale 0-1002017: 55 scale 0-1002018: 59.4 scale 0-1002019: 56 scale 0-1002020: 55.7 scale 0-1002021: 62.4 scale 0-1002022: 65.3 scale 0-1002023: 61.2 scale 0-1002024: 60.2 scale 0-100

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

Analysis

Bolivia recorded 60.19 scale 0-100 for statistical performance indicators (spi): pillar 4 data sources score in 2024.

The figure is down 1.6% on the previous year and up 65.3% over ten years.

Over the whole period, statistical performance indicators (spi): pillar 4 data sources score in Bolivia peaked at 65.35 scale 0-100 in 2022 and was at its lowest, 36.42 scale 0-100, in 2015.

That places Bolivia 91st out of 182 countries with data for 2024, putting it in the middle of the range.

Averages by decade

DecadeAverage LowestHighest Years
2010s 53.04 scale 0-100 36.42 scale 0-100 59.37 scale 0-100 5
2020s 60.97 scale 0-100 55.72 scale 0-100 65.35 scale 0-100 5

Countries ranked near Bolivia

  1. 88 Morocco 61.87 scale 0-100 compare
  2. 89 Qatar 61.19 scale 0-100 compare
  3. 90 Tonga 60.7 scale 0-100 compare
  4. 92 Ecuador 60.02 scale 0-100 compare
  5. 93 Tajikistan 59.86 scale 0-100 compare
  6. 94 Jamaica 59.21 scale 0-100 compare

See the full ranking of 186 places →

More public sector data for Bolivia

All data for Bolivia →

Frequently asked questions

What is statistical performance indicators (spi): pillar 4 data sources score in Bolivia?
Statistical performance indicators (spi): pillar 4 data sources score in Bolivia was 60.19 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 Bolivia?
The highest recorded value was 65.35 scale 0-100 in 2022.
What is the lowest statistical performance indicators (spi): pillar 4 data sources score recorded in Bolivia?
The lowest recorded value was 36.42 scale 0-100 in 2015.
How does Bolivia rank for statistical performance indicators (spi): pillar 4 data sources score?
Bolivia ranks 91st out of 182 countries with data for 2024.
Is statistical performance indicators (spi): pillar 4 data sources score rising or falling in Bolivia?
Over the last ten years it is up 65.3%. The long-run trend across the full record is rising.
Where does this Bolivia 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.