environment-related information and socio-economic information needed to help contextualise the analysis. The database is part of the Environment Live platform. The data come from a variety of international databases and other sources, UN Environment maintains strict criteria for the information in the Environment Live Global Database which include: (1) data must be published by a UN agency or a UN partner operating at the global level; (2) data must have publicly available, transparent methodologies and metadata which describe how the data are compiled and quality assurance processes; (3) data must be compiled at the global level (i.e. data which are only available for a single country or region is not included); (4) time series data must include more than two data points; and (5) the most recent point in the time series must be no more than 10 years old. The Environment Live Global Database also uses a statistical methodology for aggregating national data to produce global, regional, sub-regional and special country groupings (UNEP 2019c).


For this publication, simple extrapolation procedures were used to estimate if the SDGs targets at the global and regional level would be met based on the current state of the SDGs indicators (i.e. no efforts to change the current data trend). A simple extrapolation method was chosen due to the fact that this method is easy to employ and duplicate. There are many other methods of forecasting progress which would take into account policy actions which are already underway as well as known threats or challenges; however, these methods would be highly difficult to apply and to duplicate over the entire set of 93 indicators presented in this report. The results of the extrapolation are displayed in the Scorecard in Figure 3. Thus, the rate of progress at the regional and global level for the next 15 years was estimated to be identical to the rate of progress in the last 15 years at a global level. The data were extrapolated using the exponential regression model based on available data points from year to year. The cut-off used for data extrapolation and analysis is the year 2030. The projected 2030 data and the indicator target were compared to determine if each target will be met.


An indicator is considered to have no data, if there is not enough data for global aggregation. The global aggregation mode was followed to determine if there was enough data for global aggregation (UNEP 2019c). Where sufficient data are available, aggregations are performed for all indicators which share a common unit and are believed to be internationally comparable. An indicator is considered to have too little data if there is only one time point available and thus it is not possible to assess progress. Note that for this report, the official SDGs indicators were used. For some of the indicators, proxy information does exist, but as these data are not recognised for monitoring the SDGs, they were not used in the scorecard analysis.


A list of data sources and definitions of all indicators used in the scorecards is included in Annex 3.


This publication includes regional and thematic level analysis of the environmental dimension of the SDGs.


4


Measuring Progress Report 2019


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