![]() Please be aware that this analysis is continually evolving. If fewer than 75% of the projections meet the target, the likelihood is classified as low. A country is classified as having a high likelihood of reaching the target if more than 75% of the randomized projections meet the target level. ![]() 10,000 simulations are performed per country for each target. Likelihood of reaching target in 2030: Monte Carlo simulations are used to estimate the likelihood of reaching target levels by 2030. No assessment is made unless a minimum of three years of data within a five-year period is available for a country on a specific indicator. A coefficient greater than +0.2 and significant at the 10% level indicates a clear increasing trend, while a coefficient less than -0.2 and significant at the 10% level indicates a clear decreasing trend. ![]() The Spearman rank correlation coefficient between observed data and time is calculated. Trend assessment: Historical data for a country is analyzed for a clear increasing or decreasing trend. Values are normalized based on the most recent observations for OECD countries. A short distance is defined as less than 0.5 units away, and a long distance is more than 0.5 units away. Target levels in 2030: If the UN’s SDG framework does not explicitly set target levels for 2030, the analysis follows the target end-values chosen by the OECD as relevant for OECD countries, following either the level achieved by the best performing countries in the OECD or with reference to international agreements.ĭistance to target: A country’s distance to the target is measured in OECD standardized units.
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