High income vs New Zealand: Statistical performance indicators (SPI): Pillar 5 data
Statistical performance indicators (SPI): Pillar 5 data over time
- High income
- New Zealand
How they compare
New Zealand currently reports 100 scale 0-100 against 76.49 scale 0-100 in High income, a difference of 23.51 scale 0-100.
That makes New Zealand's figure about 1.3 times High income's.
Across all 9 years both countries report, New Zealand has been ahead every year.
High income ranks 1st and New Zealand ranks 1st of 4 groups.
New Zealand has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | High income | New Zealand | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 75.47 scale 0-100 | 86.25 scale 0-100 | 10.78 scale 0-100 | New Zealand |
| 2020s | 80.25 scale 0-100 | 93 scale 0-100 | 12.75 scale 0-100 | New Zealand |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher statistical performance indicators (spi): pillar 5 data, High income or New Zealand?
- New Zealand, at 100 scale 0-100 against 76.49 scale 0-100 in High income as of 2024.
- What is the difference in statistical performance indicators (spi): pillar 5 data between High income and New Zealand?
- 23.51 scale 0-100, with New Zealand ahead.
- How many years of comparable data are there for High income and New Zealand?
- 9 years are reported by both, from 2016 to 2024.
- How do High income and New Zealand rank globally for statistical performance indicators (spi): pillar 5 data?
- High income ranks 1st and New Zealand ranks 1st of 4 groups.
- 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.