Statistical performance indicators (SPI): Pillar 2 data services score in Guatemala

Guatemala: Statistical performance indicators (SPI): Pillar 2 data services score was 68.1 scale 0-100 in 2024. ▲ Rising

Latest (2024)
68.1 scale 0-100
Change on year
up 9.7%
World rank
100th
of 183 countries
All-time high
68.1 scale 0-100
in 2024
All-time low
42.13 scale 0-100
in 2016
Years of data
9
2016–2024

Statistical performance indicators (SPI): Pillar 2 data services score in Guatemala, 2016–2024

02040602016202020242016: 42.1 scale 0-1002017: 60.7 scale 0-1002018: 62.1 scale 0-1002019: 62.1 scale 0-1002020: 62 scale 0-1002021: 62 scale 0-1002022: 62.1 scale 0-1002023: 62.1 scale 0-1002024: 68.1 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 2 data services score in Guatemala is 68.1 scale 0-100, measured in 2024. That is the highest value across all 9 years on record.

That represents a change of up 9.7% on the previous year and up 61.6% over ten years.

Over the whole period, statistical performance indicators (spi): pillar 2 data services score in Guatemala peaked at 68.1 scale 0-100 in 2024 and was at its lowest, 42.13 scale 0-100, in 2016.

That places Guatemala 100th out of 183 countries with data for 2024, putting it in the middle of the range.

Averages by decade

DecadeAverage LowestHighest Years
2010s 56.75 scale 0-100 42.13 scale 0-100 62.1 scale 0-100 4
2020s 63.26 scale 0-100 62 scale 0-100 68.1 scale 0-100 5

Countries ranked near Guatemala

  1. 97 Kuwait 68.87 scale 0-100 compare
  2. 98 Botswana 68.67 scale 0-100 compare
  3. 99 Saint Lucia 68.13 scale 0-100 compare
  4. 100 Trinidad and Tobago 68.1 scale 0-100 compare
  5. 102 Togo 68.03 scale 0-100 compare
  6. 103 Bolivia 67.9 scale 0-100 compare

See the full ranking of 187 places →

More public sector data for Guatemala

All data for Guatemala →

Frequently asked questions

What is statistical performance indicators (spi): pillar 2 data services score in Guatemala?
Statistical performance indicators (spi): pillar 2 data services score in Guatemala was 68.1 scale 0-100 in 2024, according to Statistical Performance Indicators, World Bank (WB).
What is the highest statistical performance indicators (spi): pillar 2 data services score recorded in Guatemala?
The highest recorded value was 68.1 scale 0-100 in 2024.
What is the lowest statistical performance indicators (spi): pillar 2 data services score recorded in Guatemala?
The lowest recorded value was 42.13 scale 0-100 in 2016.
How does Guatemala rank for statistical performance indicators (spi): pillar 2 data services score?
Guatemala ranks 100th out of 183 countries with data for 2024.
Is statistical performance indicators (spi): pillar 2 data services score rising or falling in Guatemala?
Over the last ten years it is up 61.6%. The long-run trend across the full record is rising.
Where does this Guatemala data come from?
The figures come from Statistical Performance Indicators, World Bank (WB), published as part of Statistical performance indicators (SPI): Pillar 2 data services 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 2 data services 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, 1,643 data points, 2016–2024
Last refreshed

The data services pillar overall score is a composite indicator based on four dimensions of data services: (i) the quality of data releases, (ii) the richness and openness of online access, (iii) the effectiveness of advisory and analytical services related to statistics, and (iv) the availability and use of data access services such as secure microdata access. Advisory and analytical services might incorporate elements related to data stewardship services including input to national data strategies, advice on data ethics and calling out misuse of data in accordance with the Fundamental Principles of Official Statistics.