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

Nicaragua: Statistical performance indicators (SPI): Pillar 4 data sources score was 37.88 scale 0-100 in 2024. ▬ Flat

Latest (2024)
37.88 scale 0-100
Change on year
down 5.3%
World rank
149th
of 182 countries
All-time high
43.39 scale 0-100
in 2021
All-time low
36.76 scale 0-100
in 2020
Years of data
10
2015–2024

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

0102030402015201920242015: 43.1 scale 0-1002016: 41.3 scale 0-1002017: 39 scale 0-1002018: 37.9 scale 0-1002019: 37.9 scale 0-1002020: 36.8 scale 0-1002021: 43.4 scale 0-1002022: 40 scale 0-1002023: 40 scale 0-1002024: 37.9 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 Nicaragua is 37.88 scale 0-100, measured in 2024.

The figure is down 5.3% on the previous year and down 12.1% over ten years.

Over the whole period, statistical performance indicators (spi): pillar 4 data sources score in Nicaragua peaked at 43.39 scale 0-100 in 2021 and was at its lowest, 36.76 scale 0-100, in 2020.

That places Nicaragua 149th out of 182 countries with data for 2024, putting it in the bottom quarter.

Averages by decade

DecadeAverage LowestHighest Years
2010s 39.82 scale 0-100 37.86 scale 0-100 43.1 scale 0-100 5
2020s 39.59 scale 0-100 36.76 scale 0-100 43.39 scale 0-100 5

Countries ranked near Nicaragua

  1. 146 Cameroon 39.83 scale 0-100 compare
  2. 147 Zimbabwe 39.8 scale 0-100 compare
  3. 148 Nigeria 39.76 scale 0-100 compare
  4. 150 Madagascar 37.25 scale 0-100 compare
  5. 151 Namibia 37.23 scale 0-100 compare
  6. 152 Iraq 37.12 scale 0-100 compare

See the full ranking of 186 places →

More public sector data for Nicaragua

All data for Nicaragua →

Frequently asked questions

What is statistical performance indicators (spi): pillar 4 data sources score in Nicaragua?
Statistical performance indicators (spi): pillar 4 data sources score in Nicaragua was 37.88 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 Nicaragua?
The highest recorded value was 43.39 scale 0-100 in 2021.
What is the lowest statistical performance indicators (spi): pillar 4 data sources score recorded in Nicaragua?
The lowest recorded value was 36.76 scale 0-100 in 2020.
How does Nicaragua rank for statistical performance indicators (spi): pillar 4 data sources score?
Nicaragua ranks 149th out of 182 countries with data for 2024.
Is statistical performance indicators (spi): pillar 4 data sources score rising or falling in Nicaragua?
Over the last ten years it is down 12.1%. The long-run trend across the full record is flat.
Where does this Nicaragua 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.