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Shocks sheet
Covid mortality impact
Description: Increase in deaths by sex and cohort, compared to 2019.
Unit: rate
Source code: -
Source data link(s) and access dates:
- https://pxdata.stat.fi/PxWeb/pxweb/en/StatFin/StatFin__kuol/statfin_kuol_pxt_12ag.px/ Date accessed: 2024-12-04
- 12ag – Deaths by age (1-year) and sex, 1980-2023
File: ‘Mortality by sex and cohort 1980-2024 001_12ag_2023_20241204-153452.xlsx’
Note:
- Did not separate the influence of Covid19 from other factors. However, it was the main reason for changing mortalities and continues to affect mortality in Finland: https://stat.fi/julkaisu/cl8mlgiehwn8z0cvzmey6j7sr
- Strictly speaking, this was total changes in mortality rates including the impact of covid.
- The data shows some interesting patterns for different groups (2019 = 1).
- The mortality rate in comparison to 2019 was especially high for males and females over 65 in 2022 and in 2023
| Year | Total | 0-14 | 15-24 | 25-44 | 45-64 | 65- | |
|---|---|---|---|---|---|---|---|
| 2018 | Total | 1.0107 | 1.0242 | 0.8671 | 0.9191 | 1.1026 | 1.0025 |
| Males | 1.0038 | 0.9783 | 0.9343 | 0.9093 | 1.1035 | 0.9907 | |
| Females | 1.0177 | 1.0822 | 0.7282 | 0.9432 | 1.1008 | 1.0132 | |
| 2019 | Total | 1 | 1 | 1 | 1 | 1 | 1 |
| Males | 1 | 1 | 1 | 1 | 1 | 1 | |
| Females | 1 | 1 | 1 | 1 | 1 | 1 | |
| 2020 | Total | 1.0285 | 0.8606 | 0.9620 | 1.0065 | 1.0399 | 1.0287 |
| Males | 1.0326 | 0.9348 | 1.0423 | 1.0161 | 1.0675 | 1.0274 | |
| Females | 1.0244 | 0.7671 | 0.7961 | 0.9830 | 0.9852 | 1.0299 | |
| 2021 | Total | 1.0688 | 0.9697 | 0.8576 | 0.9101 | 1.0365 | 1.0788 |
| Males | 1.0766 | 0.8804 | 0.9249 | 0.8932 | 1.0420 | 1.0923 | |
| Females | 1.0609 | 1.0822 | 0.7184 | 0.9517 | 1.0256 | 1.0666 | |
| 2022 | Total | 1.1718 | 1.0182 | 0.8734 | 0.9485 | 1.0377 | 1.1972 |
| Males | 1.1716 | 1.0326 | 0.9061 | 0.9127 | 1.0335 | 1.2094 | |
| Females | 1.1720 | 1.0000 | 0.8058 | 1.0369 | 1.0460 | 1.1861 | |
| 2023 | Total | 1.1370 | 0.9576 | 1.0728 | 0.9747 | 0.9923 | 1.1605 |
| Males | 1.1496 | 0.9022 | 1.0845 | 0.9610 | 0.9938 | 1.1862 | |
| Females | 1.1243 | 1.0274 | 1.0485 | 1.0085 | 0.9893 | 1.1374 |
- Covid mortality impact data from 2020-2023 added to the model (previous one only had 2020 and 2021 for Italy). The ‘mortality rate cg’ equation was likewise adjusted.
Economic shocks: Imports, Exports, Consumption, Investment
Description: Exogenous negative shocks to consumption, investments, the demand for exports, and imports, caused by the Covid-19 pandemic and war in Ukraine, which led to sanctions against Russia.
Unit: Changes in volume, % turned into decimal fractions
Source code: -
Source data link(s) and access dates:
- https://pxdata.stat.fi/PxWeb/pxweb/en/StatFin/StatFin__vtp/statfin_vtp_pxt_11sf.px/ Date accessed: 2025-05-31
File: ‘Economic shocks 1975-2024 (imports exports consumption GFCF) 001_11sf_2024_20250531-113103.xlsx’
Notes:
- Can use the following variables:
- P7R Imports of goods and services, income
- P6K Exports of goods and services, expenditure
- P3K Consumption expenditure, expenditure
- P51K Gross fixed capital formation, expenditure
- Why is the shock considered without industry disaggregation?
- More info of Covid effects in Finland: https://www.stat.fi/ajk/koronavirus/koronavirus-ajankohtaista-tilastotietoa/miten-vaikutukset-nakyvat-tilastoissa/talouden-tilannekuva#kuluttajat
- Eurogreen assumed the shock for the years 2020 and 2021. The covid shock was based on the variations of consumption, investments, exports and imports during 2020 and 2021.
- Eurogreen: The covid shock is based on the Bank of Italy’s projections for the variations of consumption, investments, exports and imports, available at: https://www.bancaditalia.it/pubblicazioni/proiezioni-macroeconomiche/2020/Proiezioni-Macroeconomiche-Italia-dicembre-2020.pdf.pdf
- Ukraine war economic shock also relates to the energy module à something to consider later.
- For industry disaggregation for trade impacts, see 14mc -- International trade in services, trade value by activity sector, enterprise size class and region, annually, 2019-2023
Data title
Description: -
Unit: -
Source code: -
Source data link(s) and access dates:
- https://example.com/ Date accessed: 2026/10/30 12:08