Australia vs New Zealand: Statistical performance indicators (SPI): Pillar 5 data infrastructure
Statistical performance indicators (SPI): Pillar 5 data infrastructure over time
- Australia
- New Zealand
How they compare
Australia currently reports 100 scale 0-100 against 100 scale 0-100 in New Zealand, a difference of 0 scale 0-100.
The two have swapped places 1 time across 9 shared years of data; in 2016 it was Australia ahead.
Australia ranks 1st and New Zealand ranks 1st of 191 countries.
Australia has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Australia | New Zealand | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 100 scale 0-100 | 86.25 scale 0-100 | 13.75 scale 0-100 | Australia |
| 2020s | 100 scale 0-100 | 93 scale 0-100 | 7 scale 0-100 | Australia |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher statistical performance indicators (spi): pillar 5 data infrastructure, Australia or New Zealand?
- Australia, at 100 scale 0-100 against 100 scale 0-100 in New Zealand as of 2024.
- What is the difference in statistical performance indicators (spi): pillar 5 data infrastructure between Australia and New Zealand?
- 0 scale 0-100, with Australia ahead.
- How many years of comparable data are there for Australia and New Zealand?
- 9 years are reported by both, from 2016 to 2024.
- How do Australia and New Zealand rank globally for statistical performance indicators (spi): pillar 5 data infrastructure?
- Australia ranks 1st and New Zealand ranks 1st 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
About this data
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.