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Statistical performance indicators (SPI): Pillar 1 data use score in Peru

Peru: Statistical performance indicators (SPI): Pillar 1 data use score was 100 scale 0-100 in 2024. ▲ Rising

Latest (2024)
100 scale 0-100
Change on year
unchanged
World rank
1st
of 215 countries
All-time high
100 scale 0-100
in 2022
All-time low
40 scale 0-100
in 2004
Years of data
21
2004–2024

Statistical performance indicators (SPI): Pillar 1 data use score in Peru, 2004–2024

0204060801002004201420242004: 40 scale 0-1002005: 40 scale 0-1002006: 40 scale 0-1002007: 40 scale 0-1002008: 40 scale 0-1002009: 40 scale 0-1002010: 50 scale 0-1002011: 50 scale 0-1002012: 50 scale 0-1002013: 50 scale 0-1002014: 50 scale 0-1002015: 70 scale 0-1002016: 90 scale 0-1002017: 90 scale 0-1002018: 90 scale 0-1002019: 90 scale 0-1002020: 90 scale 0-1002021: 90 scale 0-1002022: 100 scale 0-1002023: 100 scale 0-1002024: 100 scale 0-100

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

Analysis

Peru recorded 100 scale 0-100 for statistical performance indicators (spi): pillar 1 data use score in 2024. That is the highest value across all 21 years on record.

Compared with earlier readings it is up 100.0% over ten years.

Over the whole period, statistical performance indicators (spi): pillar 1 data use score in Peru peaked at 100 scale 0-100 in 2022 and was at its lowest, 40 scale 0-100, in 2004.

That places Peru 1st out of 215 countries with data for 2024, putting it in the top 10%.

The long-run direction has been consistently rising across the 21 years of available data.

Averages by decade

DecadeAverage LowestHighest Years
2000s 40 scale 0-100 40 scale 0-100 40 scale 0-100 6
2010s 68 scale 0-100 50 scale 0-100 90 scale 0-100 10
2020s 96 scale 0-100 90 scale 0-100 100 scale 0-100 5

Countries ranked near Peru

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  16. 1 France 100 scale 0-100 compare
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  18. 1 Germany 100 scale 0-100 compare
  19. 1 Greece 100 scale 0-100 compare
  20. 1 Iceland 100 scale 0-100 compare
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  24. 1 Jamaica 100 scale 0-100 compare
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  37. 1 Norway 100 scale 0-100 compare
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  47. 1 Spain 100 scale 0-100 compare
  48. 1 Sweden 100 scale 0-100 compare
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See the full ranking of 221 places →

More public sector data for Peru

All data for Peru →

Frequently asked questions

What is statistical performance indicators (spi): pillar 1 data use score in Peru?
Statistical performance indicators (spi): pillar 1 data use score in Peru was 100 scale 0-100 in 2024, according to Statistical Performance Indicators, World Bank (WB).
What is the highest statistical performance indicators (spi): pillar 1 data use score recorded in Peru?
The highest recorded value was 100 scale 0-100 in 2022.
What is the lowest statistical performance indicators (spi): pillar 1 data use score recorded in Peru?
The lowest recorded value was 40 scale 0-100 in 2004.
How does Peru rank for statistical performance indicators (spi): pillar 1 data use score?
Peru ranks 1st out of 215 countries with data for 2024.
Is statistical performance indicators (spi): pillar 1 data use score rising or falling in Peru?
Over the last ten years it is up 100.0%. The long-run trend across the full record is rising.
Where does this Peru data come from?
The figures come from Statistical Performance Indicators, World Bank (WB), published as part of Statistical performance indicators (SPI): Pillar 1 data use score (scale 0-100). Statizoid updates them automatically from the source API.

Download this data

CSV · JSON — 21 observations, free to reuse under CC BY 4.0 (World Bank Open Data).

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.