Read monthly unemployment for Czechia, Germany and Poland
Compare three countries using the same monthly Eurostat definition, inspect missing observations and retain the result you actually read. Start with the measurement and period before interpreting the shape of a line.
1. Identify the denominator and adjustment
The harmonised unemployment rate is a percentage of the labour force aged 15–74. The source code TOTAL refers to that total age scope; it does not mean every resident. This is neither a percentage of the whole population nor a count of registered jobseekers. Keep that distinction when comparing a national headline with this series.
The three selected series are monthly, cover both sexes and use SA: seasonally adjusted, without calendar adjustment. Matching these settings makes the countries comparable within this source definition. The displayed level is not an annual percentage change, a forecast or evidence that one country caused a movement in another.
2. Apply the full reviewed period explicitly
Open Compare unemployment from the data catalogue. Check that Czechia, Germany and Poland remain selected and that the transformation is raw. To request the exact reviewed window, choose a custom period from 2016-10-01 through 2026-09-30, inclusive, and explicitly run it. Those bounds cover 120 source months for each country.
The generic MAX preset follows the application’s rolling date bound and can omit the first month of this fixed window. It is not a promise to include every reviewed observation. After changing the dates or selection, read the newly computed result and its actual period rather than assuming the earlier table still describes your controls.
3. Read gaps and revisions honestly
In the source capture accessed on 15 October 2026, this window contains 357 numeric observations and three missing September 2026 cells, one per country. The full grid therefore has 360 cells. September is not zero, and August must not be relabelled as September. Leave the gap visible instead of joining it with an invented observation.
This is a capture of the current revised history, not a collection of first publication vintages. Later source revisions may change earlier months or fill a missing cell. A difference between two reads needs its dates and provenance checked before it becomes a claim about an economic change.
4. Follow one observation into its evidence
Switch between graph and table without changing the applied query. Open Value provenance for a raw point to check its country, month, original decimal value, unit, quality and source. The graph, table, Passport and export refer to the same result; the Passport does not fetch a replacement value for the point you selected.
Separate the observation’s month from the dataset update, Datisto’s capture and ingestion, and result computation. Individual observation publication time is unknown in this capture. A dataset update timestamp cannot establish when a particular monthly figure first became public. A current access check likewise does not rewrite the result’s original computation clock.
This is a guide to Datisto. Private features require sign-in and access to your own data. Personal models use your assumptions; availability and permitted use of source data are checked with the particular result. This is not investment advice.