New Zealand vs North Macedonia: Statistical performance indicators (SPI): Pillar 4 data sources score
Statistical performance indicators (SPI): Pillar 4 data sources score over time
- New Zealand
- North Macedonia
How they compare
New Zealand currently reports 80.67 scale 0-100 against 80.4 scale 0-100 in North Macedonia, a difference of 0.27 scale 0-100.
The two have swapped places 2 times across 9 shared years of data; in 2016 it was New Zealand ahead.
New Zealand ranks 32nd and North Macedonia ranks 34th of 182 countries.
New Zealand has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | New Zealand | North Macedonia | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 64.57 scale 0-100 | 61.7 scale 0-100 | 2.88 scale 0-100 | New Zealand |
| 2020s | 76.15 scale 0-100 | 74.75 scale 0-100 | 1.4 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 4 data sources score, New Zealand or North Macedonia?
- New Zealand, at 80.67 scale 0-100 against 80.4 scale 0-100 in North Macedonia as of 2024.
- What is the difference in statistical performance indicators (spi): pillar 4 data sources score between New Zealand and North Macedonia?
- 0.27 scale 0-100, with New Zealand ahead.
- How many years of comparable data are there for New Zealand and North Macedonia?
- 9 years are reported by both, from 2016 to 2024.
- How do New Zealand and North Macedonia rank globally for statistical performance indicators (spi): pillar 4 data sources score?
- New Zealand ranks 32nd and North Macedonia ranks 34th of 182 countries.
- Where does this data come from?
- Statistical Performance Indicators, World Bank (WB), published as Statistical performance indicators (SPI): Pillar 4 data sources 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 sources overall score is a composite measure of whether countries have data available from the following sources: Censuses and surveys, administrative data, geospatial data, and private sector/citizen generated data. The data sources (input) pillar is segmented by four types of sources generated by (i) the statistical office (censuses and surveys), and sources accessed from elsewhere such as (ii) administrative data, (iii) geospatial data, and (iv) private sector data and citizen generated data. The appropriate balance between these source types will vary depending on a country's institutional setting and the maturity of its statistical system. High scores should reflect the extent to which the sources being utilized enable the necessary statistical indicators to be generated. For example, a low score on environment statistics (in the data production pillar) may reflect a lack of use of (and low score for) geospatial data (in the data sources pillar). This type of linkage is inherent in the data cycle approach and can help highlight areas for investment required if country needs are to be met.