Paraguay vs Russian Federation: Statistical performance indicators (SPI): Pillar 1 data use score

Paraguay
70 scale 0-100
in 2024
Russian Federation
76.6 scale 0-100
in 2024
Paraguay rank
126th
Russian Federation rank
124th

Statistical performance indicators (SPI): Pillar 1 data use score over time

  • Paraguay
  • Russian Federation
020406080200420142024

How they compare

Russian Federation currently reports 76.6 scale 0-100 against 70 scale 0-100 in Paraguay, a difference of 6.6 scale 0-100.

That makes Russian Federation's figure about 1.1 times Paraguay's.

Across all 21 years both countries report, Russian Federation has been ahead every year.

Paraguay ranks 126th and Russian Federation ranks 124th of 217 countries.

Russian Federation has averaged higher in every one of the 3 decades both report.

Head to head by decade

Decade Paraguay Russian Federation Difference Ahead
2000s 40 scale 0-100 40 scale 0-100 0 scale 0-100
2010s 56 scale 0-100 70.02 scale 0-100 14.02 scale 0-100 Russian Federation
2020s 70 scale 0-100 80.68 scale 0-100 10.68 scale 0-100 Russian Federation

Averages of every year both report within each decade.

Frequently asked questions

Which has higher statistical performance indicators (spi): pillar 1 data use score, Paraguay or Russian Federation?
Russian Federation, at 76.6 scale 0-100 against 70 scale 0-100 in Paraguay as of 2024.
What is the difference in statistical performance indicators (spi): pillar 1 data use score between Paraguay and Russian Federation?
6.6 scale 0-100, with Russian Federation ahead.
How many years of comparable data are there for Paraguay and Russian Federation?
21 years are reported by both, from 2004 to 2024.
How do Paraguay and Russian Federation rank globally for statistical performance indicators (spi): pillar 1 data use score?
Paraguay ranks 126th and Russian Federation ranks 124th of 217 countries.
Where does this data come from?
Statistical Performance Indicators, World Bank (WB), published as Statistical performance indicators (SPI): Pillar 1 data use score (scale 0-100). Statizoid refreshes it automatically from the source and publishes the full history for both places.

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Paraguay vs Russian Federation: Statistical performance indicators (SPI): Pillar 1 data use score. Statizoid, drawing on Statistical Performance Indicators, World Bank (WB). Retrieved 18 August 2026, from https://public-sector.statizoid.com/compare/statistical-performance-indicators-spi-pillar-1-data-use-score-scale-0-100/paraguay/russian-federation/

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<a href="https://public-sector.statizoid.com/compare/statistical-performance-indicators-spi-pillar-1-data-use-score-scale-0-100/paraguay/russian-federation/">Paraguay vs Russian Federation: Statistical performance indicators (SPI): Pillar 1 data use score</a> — Statizoid

About this data

Indicator
Statistical performance indicators (SPI): Pillar 1 data use 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
221 places, 4,593 data points, 2004–2024
Last refreshed

The data use overall score is a composite score measuring the demand side of the statistical system. The data use pillar is segmented by five types of users: (i) the legislature, (ii) the executive branch, (iii) civil society (including sub-national actors), (iv) academia and (v) international bodies. Each dimension would have associated indicators to measure performance. A mature system would score well across all dimensions whereas a less mature one would have weaker scores along certain dimensions. The gaps would give insights into prioritization among user groups and help answer questions as to why the existing services are not resulting in higher use of national statistics in a particular segment. Currently, the SPI only features indicators for one of the five dimensions of data use, which is data use by international organizations. Indicators on whether statistical systems are providing useful data to their national governments (legislature and executive branches), to civil society, and to academia are absent. Thus the dashboard does not yet assess if national statistical systems are meeting the data needs of a large swathe of users.