Figure 1
Figure 2
Figure 3
Simple linear regression analysis
| Regression Statistics – New built apartments | |
|---|---|
| Multiple R | 0,857159245 |
| R Square | 0,734721971 |
| Adjusted R Square | 0,712615468 |
| Standard Error | 2789,040732 |
| Observations | 14 |
VIF indicator of independent variables
| Variable | VIF value |
|---|---|
| New built apartments | 191,19 |
| New built square meters (000) | 141,11 |
| Average apartment price per square meter | 34,08 |
| Annual value of realised construction works (000 EUR) | 28,29 |
| Issued construction permits | 4,20 |
Regression analysis correlation matrix
| GDP | New built apartments | New built square meters (000) | Average apartment price per square meter | Issued construction permits | Annual value of realised construction works (000 EUR) | |
|---|---|---|---|---|---|---|
| GDP | 1 | |||||
| New built apartments | 0,857159245 | 1 | ||||
| New built square meters (000) | 0,882867057 | 0,994939112 | 1 | |||
| Average apartment price per square meter | 0,958489768 | 0,911595738 | 0,934219579 | 1 | ||
| Issued construction permits | 0,881758097 | 0,853332037 | 0,864041431 | 0,818952013 | 1 | |
| Annual value of realised construction works (000 EUR) | 0,955562989 | 0,886873961 | 0,913617445 | 0,980017156 | 0,824476543 | 1 |
Results of regression analysis
| SUMMARY OUTPUT | |
|---|---|
| Regression Statistics | |
| Multiple R | 0,98284186 |
| R Square | 0,965978122 |
| Adjusted R Square | 0,944714448 |
| Standard Error | 1223,288763 |
| Observations | 14 |
GDP and key construction sector indicators
| Year | GDP1 (000 000 EUR) | New built apartments | New built square meters (000) | Average apartment price per square meter (EUR) | Issued construction permits | Annual value of realised construction works (000 EUR) |
|---|---|---|---|---|---|---|
| 2011 | 41.967,59 | 12.390 | 1.120 | 1.568 | 9.601 | 1.979.755 |
| 2012 | 40.578,28 | 11.792 | 1.017 | 1.563 | 8.330 | 1.897.906 |
| 2013 | 40.381,60 | 10.090 | 917 | 1.415 | 6.687 | 1.780.705 |
| 2014 | 40.120,10 | 7.805 | 739 | 1.481 | 6.589 | 1.656.906 |
| 2015 | 41.025,12 | 8.059 | 733 | 1.510 | 6.328 | 1.778.466 |
| 2016 | 42.463,77 | 7.809 | 740 | 1.464 | 8.018 | 1.862.511 |
| 2017 | 43.654,21 | 8.496 | 775 | 1.477 | 9.418 | 1.904.184 |
| 2018 | 44.743,07 | 10.141 | 920 | 1.569 | 9.406 | 2.061.370 |
| 2019 | 46.188,72 | 11.726 | 1.065 | 1.664 | 9.932 | 2.379.320 |
| 2020 | 42.829,04 | 11.957 | 1.114 | 1.708 | 9.403 | 2.540.556 |
| 2021 | 47.837,75 | 12.514 | 1.187 | 1.837 | 10.553 | 2.891.910 |
| 2022 | 51.846,88 | 15.875 | 1.462 | 2.237 | 11.165 | 3.264.158 |
| 2023 | 53.929,31 | 16.552 | 1.499 | 2.342 | 11.564 | 4.285.321 |
| 2024 | 55.669,24 | 16.654 | 1.582 | 2.571 | 11.823 | 4.885.197 |
Inflation and unemployment rate from 2011–2022
| Year | Inflation rate | Unemployment rate |
|---|---|---|
| 2011 | 2,20% | 13,70% |
| 2012 | 3,40% | 15,90% |
| 2013 | 2,30% | 17,30% |
| 2014 | 0,20% | 17,30% |
| 2015 | −0,30% | 16,20% |
| 2016 | −0,60% | 13,03% |
| 2017 | 1,30% | 11,08% |
| 2018 | 1,00% | 8,32% |
| 2019 | 0,80% | 6,56% |
| 2020 | 0,00% | 7,39% |
| 2021 | 2,70% | 7,49% |
| 2022 | 10,70% | 6,80% |
| 2023 | 8,40% | 6,13% |
| 2024 | 4,00% | 5,03% |