Antigua and Barbuda vs China (People’s Republic of): Statistical performance indicators (SPI): Pillar 5 data infrastructure

Antigua and Barbuda
55 scale 0-100
in 2024
China (People’s Republic of)
55 scale 0-100
in 2024
Antigua and Barbuda rank
116th
China (People’s Republic of) rank
116th

Statistical performance indicators (SPI): Pillar 5 data infrastructure over time

  • Antigua and Barbuda
  • China (People’s Republic of)
203040506070201620202024

How they compare

Antigua and Barbuda currently reports 55 scale 0-100 against 55 scale 0-100 in China (People’s Republic of), a difference of 0 scale 0-100.

Across all 9 years both countries report, China (People’s Republic of) has been ahead every year.

Antigua and Barbuda ranks 116th and China (People’s Republic of) ranks 116th of 191 countries.

China (People’s Republic of) has averaged higher in every one of the 2 decades both report.

Head to head by decade

Decade Antigua and Barbuda China (People’s Republic of) Difference Ahead
2010s 22.5 scale 0-100 53.75 scale 0-100 31.25 scale 0-100 China (People’s Republic of)
2020s 41 scale 0-100 54 scale 0-100 13 scale 0-100 China (People’s Republic of)

Averages of every year both report within each decade.

Frequently asked questions

Which has higher statistical performance indicators (spi): pillar 5 data infrastructure, Antigua and Barbuda or China (People’s Republic of)?
Antigua and Barbuda, at 55 scale 0-100 against 55 scale 0-100 in China (People’s Republic of) as of 2024.
What is the difference in statistical performance indicators (spi): pillar 5 data infrastructure between Antigua and Barbuda and China (People’s Republic of)?
0 scale 0-100, with Antigua and Barbuda ahead.
How many years of comparable data are there for Antigua and Barbuda and China (People’s Republic of)?
9 years are reported by both, from 2016 to 2024.
How do Antigua and Barbuda and China (People’s Republic of) rank globally for statistical performance indicators (spi): pillar 5 data infrastructure?
Antigua and Barbuda ranks 116th and China (People’s Republic of) ranks 116th of 191 countries.
Where does this data come from?
Statistical Performance Indicators, World Bank (WB), published as Statistical performance indicators (SPI): Pillar 5 data infrastructure score (scale 0-100). Statizoid refreshes it automatically from the source and publishes the full history for both places.

Individual pages

Share, cite or embed this page

Cite this page

Antigua and Barbuda vs China (People’s Republic of): Statistical performance indicators (SPI): Pillar 5 data infrastructure. 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-5-data-infrastructure-score-scale-0-100/antigua-and-barbuda/china/

Embed or link this data

Paste this into a page to link back to these figures. The data itself is free to reuse under CC BY 4.0 (World Bank Open Data); please keep the attribution.

<a href="https://public-sector.statizoid.com/compare/statistical-performance-indicators-spi-pillar-5-data-infrastructure-score-scale-0-100/antigua-and-barbuda/china/">Antigua and Barbuda vs China (People’s Republic of): Statistical performance indicators (SPI): Pillar 5 data infrastructure</a> — Statizoid

About this data

Indicator
Statistical performance indicators (SPI): Pillar 5 data infrastructure 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
195 places, 1,746 data points, 2016–2024
Last refreshed

The data infrastructure pillar overall score measures the hard and soft infrastructure segments, itemizing essential cross cutting requirements for an effective statistical system. The segments are: (i) legislation and governance covering the existence of laws and a functioning institutional framework for the statistical system; (ii) standards and methods addressing compliance with recognized frameworks and concepts; (iii) skills including level of skills within the statistical system and among users (statistical literacy); (iv) partnerships reflecting the need for the statistical system to be inclusive and coherent; and (v) finance mobilized both domestically and from donors.