Technical notes

 

·         All mortality-based and most other indicators in the database are calculated by WHO/Europe using reported raw mortality data or numerators of corresponding indicators. The use of the same calculation methods and denominators increases comparability between countries and consistency across calculated rates (indicators).

 

·          Life expectancy is calculated using Wiesler’s method. The age disaggregation of mortality data is: 0, 1–4, 5–9, 10–14, … 80–84, 85+.

 

·         Averages for some country groupings, including the European Region average, are population-weighted averages. They are normally calculated when a minimum of 50% of the countries have data for a given indicator for a selected period. The number of countries included in the average calculations for different indicators will therefore vary. Also, as new data are received, more countries will meet the criteria for inclusion in the appropriate average calculations, with the result that averages for the same indicator and year may vary between different issues of the database. To ensure that a time-series includes the same countries throughout, data are checked by country and year and missing values are estimated. The program uses linear interpolation to calculate the missing values between years, and the values of the first and last available years are repeated for the missing years at the beginning and end of the period. For these reasons, averages for country groupings should be used and interpreted with caution.

 

·         Age-standardized death rates (SDR) are calculated using the direct method, i.e. they represent what the crude rate would have been if the population had the same age distribution as the European standard population, as follows.

 

Age group

(years)

European standard

population

0

1600

1–4

6400

5–9

7000

10–14

7000

15–19

7000

20–24

7000

25–29

7000

30–34

7000

35–39

7000

40–44

7000

45–49

7000

50–54

7000

55–59

6000

60–64

5000

65–69

4000

70–74

3000

75–79

2000

80–84

1000

85 +

1000 

Total

100000