Regulatory Quality - Governance estimate in Papua New Guinea
Papua New Guinea: Regulatory Quality - Governance estimate was -0.6004 approx. -2.5 to +2.5 in 2024. ▲ Rising
Regulatory Quality - Governance estimate in Papua New Guinea, 1996–2024
Source: The Worldwide Governance Indicators: Revised Methodology for Measuring Governance Using Perception Data., World Bank Group (WBG). Measured in approx. -2.5 to +2.5.
Analysis
In 2024, regulatory quality - governance estimate in Papua New Guinea stood at -0.6004 approx. -2.5 to +2.5.
Compared with earlier readings it is up 15.5% on the previous year and down 132.0% over ten years.
Over the whole period, regulatory quality - governance estimate in Papua New Guinea peaked at -0.2588 approx. -2.5 to +2.5 in 2014 and was at its lowest, -0.8827 approx. -2.5 to +2.5, in 2003.
That places Papua New Guinea 144th out of 204 countries with data for 2024, putting it in the middle of the range.
The long-run direction has been consistently rising across the 26 years of available data.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1990s | -0.6852 approx. -2.5 to +2.5 | -0.7799 approx. -2.5 to +2.5 | -0.5905 approx. -2.5 to +2.5 | 2 |
| 2000s | -0.6045 approx. -2.5 to +2.5 | -0.8827 approx. -2.5 to +2.5 | -0.3703 approx. -2.5 to +2.5 | 9 |
| 2010s | -0.4436 approx. -2.5 to +2.5 | -0.5228 approx. -2.5 to +2.5 | -0.2588 approx. -2.5 to +2.5 | 10 |
| 2020s | -0.6794 approx. -2.5 to +2.5 | -0.7515 approx. -2.5 to +2.5 | -0.5871 approx. -2.5 to +2.5 | 5 |
Countries ranked near Papua New Guinea
More reference data data for Papua New Guinea
- Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 0.2042 (2050)
- Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 0.0498 (2050)
- Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 0.3515 (2050)
- Emission Totals - Indirect emissions (N2O) - Crop Residues 0.0007 (2050)
- Emission Totals - Indirect emissions (N2O) - Agricultural Soils 0.3515 (2050)
- Emission Totals - Emissions (N2O) - Manure applied to Soils 0.6846 (2050)
- Emission Totals - Emissions (N2O) - Manure Management 0.5295 (2050)
- Emission Totals - Emissions (N2O) - Manure left on Pasture 0.2811 (2050)
- Emission Totals - Emissions (N2O) - IPCC Agriculture 1.89 (2050)
- Emission Totals - Emissions (N2O) - Crop Residues 0.0038 (2050)
Frequently asked questions
- What is regulatory quality - governance estimate in Papua New Guinea?
- Regulatory quality - governance estimate in Papua New Guinea was -0.6004 approx. -2.5 to +2.5 in 2024, according to The Worldwide Governance Indicators: Revised Methodology for Measuring Governance Using Perception Data., World Bank Group (WBG).
- What is the highest regulatory quality - governance estimate recorded in Papua New Guinea?
- The highest recorded value was -0.2588 approx. -2.5 to +2.5 in 2014.
- What is the lowest regulatory quality - governance estimate recorded in Papua New Guinea?
- The lowest recorded value was -0.8827 approx. -2.5 to +2.5 in 2003.
- How does Papua New Guinea rank for regulatory quality - governance estimate?
- Papua New Guinea ranks 144th out of 204 countries with data for 2024.
- Is regulatory quality - governance estimate rising or falling in Papua New Guinea?
- Over the last ten years it is down 132.0%. The long-run trend across the full record is rising.
- Where does this Papua New Guinea data come from?
- The figures come from The Worldwide Governance Indicators: Revised Methodology for Measuring Governance Using Perception Data., World Bank Group (WBG), published as part of Regulatory Quality - Governance estimate (approx. -2.5 to +2.5). Statizoid updates them automatically from the source API.
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CSV · JSON — 26 observations, free to reuse under CC BY 4.0 (World Bank Open Data).
About this data
Regulatory Quality (RQ) captures perceptions of the government’s ability to design and implement policies and regulations that promote private sector development. Governance estimate from the aggregation model, in units of a standard normal distribution, i.e. ranging from approximately -2.5 to 2.5. Larger values correspond to better governance. The (country-series-time) metadata include the (a) number of sources, and (b) standard error. The number of sources indicates the number of underlying data sources on which the governance estimate is based. The standard error indicates the precision of the governance estimate. Larger values indicate less precise estimates. A 90% confidence interval for the governance estimate is given by the estimate +/- 1.64 times the standard error.