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129a -- Population projection 2019: Mortality coefficients according to age by municipality, 2019-2040
Variable overview
Information
Mandatory *
Municipality
Mandatory *
Year
Mandatory *
Sex
Mandatory *
Age
Mandatory *
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Information

Mandatory *

Selected 0 of total 1

Municipality

Mandatory *
Field for searching for a specific value in the list box. This is examples of values you can search for.Akaa , Alajärvi , Alavieska ,

Selected 0 of total 311

Year

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Selected 0 of total 22

Sex

Mandatory *

Selected 0 of total 2

Age

Mandatory *
Field for searching for a specific value in the list box. This is examples of values you can search for.Children born this year , 0 , 1 ,

Selected 0 of total 101

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Footnotes

Description of statistic
Quality descriptions
Concepts and definitions
Changes in these statistics
Municipality
These statistics apply the regional division of 1 January 2019 to the whole time series.
Information
Mortality coefficient, per mille (projection 2019)
The mortality coefficient indicates how many per mil of the population of an age group die during one year. In the table, age refers to age at the beginning of the year. In order to calculate the number of deaths, 19 mortality areas have been formed. The six municipalities with the largest populations (at least 190,000 people) form their own mortality areas and smaller municipalities have been combined into mortality areas with populations ranging from 170,000 to 400,000. Municipalities have been grouped into mortality areas based on age- and gender-standardised mortality for the years 2012 to 2018. Therefore, the mortality area of a municipality is not determined by its geographical location. To reduce random variation, the mortality coefficients of the whole country are used in all mortality areas for persons aged 0 to 17 and 90 to 104. Area-specific coefficients are used for persons aged 18 to 89. Age group-specific mortality rates have been calculated for the years 2014 to 2018. Coefficients by age and gender group for the annual change in mortality were derived by calculating how much mortality changed when comparing 1987 to 1991 with 2014 to 2018. Mortality was not inflated for any age group, however.