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Statistical performance indicators (SPI): Pillar 1 data use score in Lower middle income

Lower middle income: Statistical performance indicators (SPI): Pillar 1 data use score was 75.61 scale 0-100 in 2024. ▼ Falling

Latest (2024)
75.61 scale 0-100
Change on year
down 0.5%
Rank
2nd
of 6 groups
All-time high
80.74 scale 0-100
in 2017
All-time low
75.61 scale 0-100
in 2024
Years of data
9
2016–2024

Statistical performance indicators (SPI): Pillar 1 data use score in Lower middle income, 2016–2024

0204060802016202020242016: 79.7 scale 0-1002017: 80.7 scale 0-1002018: 79 scale 0-1002019: 80.5 scale 0-1002020: 76.6 scale 0-1002021: 77 scale 0-1002022: 77 scale 0-1002023: 76 scale 0-1002024: 75.6 scale 0-100

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

Analysis

Lower middle income recorded 75.61 scale 0-100 for statistical performance indicators (spi): pillar 1 data use score in 2024. That is the lowest value across all 9 years on record.

That represents a change of down 0.5% on the previous year and down 5.1% over ten years.

Over the whole period, statistical performance indicators (spi): pillar 1 data use score in Lower middle income peaked at 80.74 scale 0-100 in 2017 and was at its lowest, 75.61 scale 0-100, in 2024.

Averages by decade

DecadeAverage LowestHighest Years
2010s 79.97 scale 0-100 78.95 scale 0-100 80.74 scale 0-100 4
2020s 76.44 scale 0-100 75.61 scale 0-100 77.03 scale 0-100 5

Countries ranked near Lower middle income

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See the full ranking of 221 places →

More public sector data for Lower middle income

All data for Lower middle income →

Frequently asked questions

What is statistical performance indicators (spi): pillar 1 data use score in Lower middle income?
Statistical performance indicators (spi): pillar 1 data use score in Lower middle income was 75.61 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 Lower middle income?
The highest recorded value was 80.74 scale 0-100 in 2017.
What is the lowest statistical performance indicators (spi): pillar 1 data use score recorded in Lower middle income?
The lowest recorded value was 75.61 scale 0-100 in 2024.
How does Lower middle income rank for statistical performance indicators (spi): pillar 1 data use score?
Lower middle income ranks 2nd out of 6 groups with data for 2024.
Is statistical performance indicators (spi): pillar 1 data use score rising or falling in Lower middle income?
Over the last ten years it is down 5.1%. The long-run trend across the full record is falling.
Where does this Lower middle income 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

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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.