Guatemala vs India: Statistical performance indicators (SPI): Pillar 3 data products score
Statistical performance indicators (SPI): Pillar 3 data products score over time
- Guatemala
- India
How they compare
India currently reports 79.28 scale 0-100 against 79.21 scale 0-100 in Guatemala, a difference of 0.07 scale 0-100.
The two have swapped places 3 times across 20 shared years of data; in 2005 it was Guatemala ahead.
Guatemala ranks 70th and India ranks 68th of 215 countries.
Across the 3 decades both report, Guatemala averaged higher in 2 and India in 1.
Head to head by decade
| Decade | Guatemala | India | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 69.18 scale 0-100 | 57.7 scale 0-100 | 11.49 scale 0-100 | Guatemala |
| 2010s | 71.91 scale 0-100 | 59.03 scale 0-100 | 12.88 scale 0-100 | Guatemala |
| 2020s | 80.31 scale 0-100 | 80.78 scale 0-100 | 0.465 scale 0-100 | India |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher statistical performance indicators (spi): pillar 3 data products score, Guatemala or India?
- India, at 79.28 scale 0-100 against 79.21 scale 0-100 in Guatemala as of 2024.
- What is the difference in statistical performance indicators (spi): pillar 3 data products score between Guatemala and India?
- 0.07 scale 0-100, with India ahead.
- How many years of comparable data are there for Guatemala and India?
- 20 years are reported by both, from 2005 to 2024.
- How do Guatemala and India rank globally for statistical performance indicators (spi): pillar 3 data products score?
- Guatemala ranks 70th and India ranks 68th of 215 countries.
- Where does this data come from?
- Statistical Performance Indicators, World Bank (WB), published as Statistical performance indicators (SPI): Pillar 3 data products score (scale 0-100). Statizoid refreshes it automatically from the source and publishes the full history for both places.
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About this data
The data products overall score is a composite score measuring whether the country is able to produce relevant indicators, primarily related to SDGs. The data products (internal process) pillar is segmented by four topics and organized into (i) social, (ii) economic, (iii) environmental, and (iv) institutional dimensions using the typology of the Sustainable Development Goals (SDGs). This approach anchors the national statistical system's performance around the essential data required to support the achievement of the 2030 global goals, and enables comparisons across countries so that a global view can be generated while enabling country specific emphasis to reflect the user needs of that country.