The following estimates of voter transition rates between Greek General Elections 2019 and 2023 are based on a method that combines unit-level deterministic bounds with cross-unit statistical information. This method was first developed by Gary King (1997) for two-party political systems, and it was further developed to support multi-party systems (Andreadis & Chadjipadelis, 2009; Χατζηπαντελής & Ανδρεάδης, 2007). The data used for the analysis have been downloaded from https://ekloges.ypes.gr/.
| Περιφέρεια | Ποσοστό |
|---|---|
| Δωδεκανήσου | 89.2% |
| Α’ Πειραιώς | 88.3% |
| Β’ Δυτικής Αττικής | 87.2% |
| Α’ Ανατολικής Αττικής | 87.1% |
| Κυκλάδων | 86.3% |
| Β1’ Βόρειου Τομέα Αθηνών | 86.2% |
| Χανίων | 85.8% |
| Β’ Πειραιώς | 85.7% |
| Μαγνησίας | 85.5% |
| Β3’ Νότιου Τομέα Αθηνών | 85.4% |
and table 1.2 shows the electoral districts with lowest loyalty rates for ND
| Περιφέρεια | Ποσοστό |
|---|---|
| Ροδόπης | 71.3% |
| Άρτας | 76.6% |
| Πιερίας | 77.5% |
| Δράμας | 77.9% |
| Πρέβεζας | 78.5% |
| Ευρυτανίας | 78.6% |
| Αρκαδίας | 78.8% |
| Ξάνθης | 78.8% |
| Καστοριάς | 79.1% |
| Φλώρινας | 79.6% |
Figure 1.1: ND loyalty rates
| Περιφέρεια | Ποσοστό |
|---|---|
| Ροδόπης | 80.1% |
| Άρτας | 67.9% |
| Αιτωλοακαρνανίας | 65.4% |
| Κεφαλληνίας | 65.0% |
| Ευρυτανίας | 63.8% |
| Αχαΐας | 63.1% |
| Καστοριάς | 63.0% |
| Α’ Αθηνών | 62.9% |
| Γρεβενών | 62.3% |
| Φλώρινας | 61.3% |
and table 2.2 shows the electoral districts with lowest loyalty rates for SYRIZA
| Περιφέρεια | Ποσοστό |
|---|---|
| Λασιθίου | 52.2% |
| Ηρακλείου | 52.5% |
| Δωδεκανήσου | 52.6% |
| Β’ Δυτικής Αττικής | 52.9% |
| Ευβοίας | 53.7% |
| Λέσβου | 53.8% |
| Χανίων | 54.3% |
| Χίου | 54.4% |
| Ρεθύμνης | 54.6% |
| Κυκλάδων | 54.8% |
Figure 2.1: SYRIZA loyalty rates
| Περιφέρεια | Ποσοστό |
|---|---|
| Ρεθύμνης | 20.0% |
| Ηρακλείου | 18.6% |
| Ξάνθης | 15.1% |
| Ευβοίας | 13.8% |
| Αρκαδίας | 13.1% |
| Λασιθίου | 12.7% |
| Περιφέρεια | Ποσοστό |
|---|---|
| Θεσπρωτίας | 4.0% |
| Ευρυτανίας | 5.0% |
| Ροδόπης | 5.2% |
| Λακωνίας | 5.3% |
| Άρτας | 5.4% |
| Α’ Πειραιώς | 5.4% |
Figure 3.1: SYRIZA to PASOK
| Περιφέρεια | Ποσοστό |
|---|---|
| Δωδεκανήσου | 24.4% |
| Β’ Δυτικής Αττικής | 22.1% |
| Χανίων | 22.0% |
| Λασιθίου | 21.7% |
| Α’ Πειραιώς | 20.8% |
| Κυκλάδων | 20.6% |
Figure 4.1: SYRIZA to ND
Crete, homeland for both leaders of PASOK and ND, was a disaster for SYRIZA (<55% loyalty rates). In addition, SYRIZA lost many voters towards KKE, other parties and abstention all over Greece. On the other hand, only a small number of the voters who had voted for ND in 2019, have moved to other parties. The most important part has moved towards the new political party: NIKI
| Περιφέρεια | Ποσοστό |
|---|---|
| Πιερίας | 9.7% |
| Β’ Θεσσαλονίκης | 8.4% |
| Πέλλας | 7.9% |
| Χαλκιδικής | 7.4% |
| Α’ Θεσσαλονίκης | 7.3% |
| Δράμας | 7.0% |
| Κοζάνης | 6.9% |
| Κιλκίς | 6.7% |
| Ημαθίας | 6.6% |
| Αχαΐας | 6.5% |
Figure 5.1: ND to NIKI
| Περιφέρεια | Ποσοστό |
|---|---|
| Β2’ Δυτικού Τομέα Αθηνών | 2.1% |
| Α’ Θεσσαλονίκης | 1.9% |
| Β’ Θεσσαλονίκης | 1.7% |
| Β3’ Νότιου Τομέα Αθηνών | 1.7% |
| Β’ Πειραιώς | 1.7% |
| Κέρκυρας | 1.6% |
| Β1’ Βόρειου Τομέα Αθηνών | 1.6% |
| Α’ Ανατολικής Αττικής | 1.5% |
| Β’ Δυτικής Αττικής | 1.4% |
| Μαγνησίας | 1.3% |
Figure 6.1: ABSTENTION to PLEFSI
| Περιφέρεια | Ποσοστό |
|---|---|
| Έβρου | 47.8% |
| Α’ Θεσσαλονίκης | 47.6% |
| Σάμου | 45.5% |
| Ημαθίας | 43.6% |
| Β’ Θεσσαλονίκης | 43.3% |
| Καστοριάς | 42.1% |
| Χαλκιδικής | 41.9% |
| Πιερίας | 41.1% |
| Ροδόπης | 41.0% |
| Πέλλας | 38.9% |
Figure 7.1: GOLDEN DAWN to GREEK SOLUTION
| Party | nd | syriza | pasok | kke | elly | niki | plefsi | other | al | apoxi |
|---|---|---|---|---|---|---|---|---|---|---|
| syriza19 | 16.6% | 58.8% | 9.4% | 4.2% | 0.5% | 0.4% | 0.6% | 6.1% | 1.3% | 1.9% |
| nd19 | 83.0% | 2.9% | 1.1% | 1.1% | 0.6% | 5.1% | 0.5% | 1.8% | 0.2% | 3.4% |
| gd19 | 19.6% | 3.2% | 5.4% | 2.0% | 32.3% | 10.2% | 7.0% | 7.0% | 1.6% | 7.6% |
| kinal19 | 0.1% | 0.4% | 98.7% | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% | 0.1% |
| kke19 | 0.3% | 0.6% | 0.2% | 95.7% | 0.0% | 0.0% | 0.2% | 0.2% | 0.0% | 0.3% |
| plefsi19 | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% | 99.7% | 0.0% | 0.0% | 0.0% |
| elly19 | 3.2% | 0.2% | 1.4% | 0.0% | 80.9% | 5.9% | 0.8% | 2.5% | 0.2% | 1.0% |
| other19 | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% | 99.8% | 0.0% | 0.0% |
| al19 | 0.6% | 0.0% | 0.2% | 0.3% | 0.0% | 0.0% | 0.0% | 0.0% | 94.5% | 0.0% |
| apoxi19 | 4.7% | 1.3% | 0.4% | 0.8% | 0.3% | 0.4% | 1.1% | 0.7% | 0.3% | 89.7% |
Please note that when we apply the method if want to get the output in a reasonable time, we have to define a parameter that corresponds to the part of the population (e.g. 5%, 1%, 0.5%, 0.1% etc) that will remain unexplained. If we want to decrease the part of the population that will remain unexplained, we have to wait for a longer time for the output. For the estimates in Table 8.1 this parameter was set to: 0.5%.