||Target: LEVEL 1||Target: LEVEL 2||Target: optimized
|Target: LEVEL 3||THRESHOLD
(which corresponds to the number of MEPs)
- in proportion to the threshold (and MEPs)
- in proportion to the population
|Country||Signed||TD||YD||Min.sig||Type||L1%||Min.sig||Type||L2%||Min.sig||Daily need||G%||Min.sig||Type||L3%||THR||Total need||Daily need||%||MEP||%||POP||%|
The main reason for this representation of sigature statistic is that could be more fair way go get targets during this campaingn. As we know, the national thresholds are corresponding to the numbers of MEP-s which is not represeting the real proportions of population. Small countris are "overpresented" and big countries "underpresented". Therefore, if we think that dividing the number of each country's inhabitants with 447 (1 million signatures is about 1/447 of EU population) will give us a good target then we see that for smaller countries such target is lower than national threshold and for bigger countries it's higher than the target calculated from national threshold.
In this table, all 3 indicators are compared and sorted for each country. So for the smallest EU country, Malta, the lowest target is corresponding to their population and highest is calculated from threshold (therefore corresponds to their number of MEPs). For the biggest country, Germany, the lowest level is the national threshold, then threshold & MEP related target and then population-related one.
Earlier there was a more complex calculation in use, but this gave us equal goals for countries with different number of inhabitants in case when their 2nd level targets were equal. Attempts to fine-tune hadn't made things better for Netherlands and Romania which goal figures became lower than target level 2. Calculation for each country was: 2levelNational + ((1000000 - 2levelTotal) / (3levelTotal - 2levelTotal)) * (3levelNational - 2levelNational) - and rounded half up