
Figure 1:
Life expectancy at birth in Poland in female and male populations (1960–2022)
Source: authors’ elaboration based on GUS data

Figure 2:
Feminisation rate in Poland in 2021
Source: authors’ elaboration based on GUS data

Figure 3:
The death rate in Poland of senior populations (above 65 years old)
Source: authors’ elaboration based on GUS data

Figure 4:
The causes of death of populations in Poland (in percentages)
Source: authors’ elaboration on the basis of GUS data

Figure 5:
Covid mortality rate in the elderly population in 2020
Source: authors’ elaboration based on GUS data

Figure 6:
Percentage of life duration in good health [%HLY]
Source: authors’ elaboration based on GUS data

Figure 7:
Reference interest rate and the 3m WIBOR in Poland
Source: authors’ elaboration based on data received from https://uokik.gov.pl/stopa_referencyjna_i_archiwum.php and https://stooq.pl/q/d/?s=plopln3m

Figure 8.
Long term interest rate from ECB.
Source: author’s elaboration based on data received from https://www.ecb.europa.eu/stats/financial_markets_and_interest_rates/euro_area_yield_curves/html/index.en.html

Figure 9:
Average price per square meter of property
Source: authors’ elaboration based on data received from https://stat.gov.pl/

Figure 10:
Price per square meter of property in some Polish cities
Source: authors’ elaboration based on offer price reports https://www.bankier.pl

Figure 11:
Yearly benefits for women with changing Life Tables while other parameters stay the same
Source: authors’ elaboration made using authors’ programs written in Matlab

Figure 12:
The relative differences in benefits compared to 2018
Source: authors’ elaboration

Figure 13:
Yearly benefits for women with changing Life Tables, 3m WIBOR, while other parameters stay the same
Source: authors’ elaboration made using authors’ programs written in Matlab

Figure 14:
Yearly benefits for women with changing Life Tables, long term rate while other parameters stay the same.
Source: authors’ elaboration made using authors’ programs written in Matlab

Figure 15:
Yearly benefits for women with all parameters changing
Source: authors’ elaboration made using authors’ programs written in Matlab
