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135z -- Key indicators of the Labour Force Survey and their seasonal adjusted series and trends adjusted for random and seasonal variation, 2010M01-2023M10

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Yes
11/21/2023
Employment rate, persons aged 15-64, %:
%
Employment rate, persons aged 15-64, %, trend:
%
Employment rate, persons aged 15-64, %, seasonally adjusted:
%
Employment rate, persons aged 20-64, %:
%
Employment rate, persons aged 20-64, %, trend:
%
Employment rate, persons aged 20-64, %, seasonally adjusted:
%
Employment rate, persons aged 20-69, %:
%
Employment rate, persons aged 20-69, %, trend:
%
Employment rate, persons aged 20-69, %, seasonally adjusted:
%
Employed, 1000 persons:
Thousand persons
Employed, 1000 persons, trend:
Thousand persons
Employed, 1000 persons, seasonally adjusted:
Thousand persons
Unemployed, 1000 persons:
Thousand persons
Unemployed, 1000 persons, trend:
Thousand persons
Unemployed, 1000 persons, seasonally adjusted:
Thousand persons
Unemployment rate, %:
%
Unemployment rate, %, trend:
%
Unemployment rate, %, seasonally adjusted:
%
12/22/2023
5/4/2021
Yes
Statistics Finland, labour force survey
001_135z_2023m10
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Documentation of statistics The information in the table concerns to persons aged 15 to 74, unless otherwise stated. The Labour Force Survey was renewed at the beginning of 2021. The table contains time series corrected retrospectively in accordance with the new estimation method that are not comparable with data from earlier years. Starting from November 2020, time series adjusted for seasonal variation will be published in the table in addition to trend series.
Seasonal variation occurring regularly in the same month of the year has been adjusted in the seasonally adjusted time series.
The trend series is adjusted for both regular seasonal variation and irregular random variation.
The time series values for previous and coming months are included in seasonal adjustment.
The observations for the latest months in the seasonally adjusted time series and the time series trend are partly based on estimates generated by a statistical model.
Thus, the latest figures of the seasonally adjusted time series and the time series trend should be viewed with reservations, because they can become significantly revised when the data of the following months are included in the time series.