Name: Transition From Employment To Unemployment By Sex, Age And Degree Of Urbanisation (annual Averages Of Quarterly Transitions, Estimated Probabilities) - Experimental Statistics
Creator: Eurostat
License: https://ec.europa.eu/eurostat/statistics-explained/index.php?title=Copyright/licence_policy

About this Dataset

Transition From Employment To Unemployment By Sex, Age And Degree Of Urbanisation (annual Averages Of Quarterly Transitions, Estimated Probabilities) - Experimental Statistics

This Eurostat dataset contains data on transition from employment to unemployment by sex, age and degree of urbanisation (annual averages of quarterly transitions, estimated probabilities) - experimental statistics, as collected and published by the Statistical Office of the European Union.

Tables included:

raw: Original table as downloaded from Eurostat.
tidy: A cleaned and transformed version of the raw table, where time period values appear as rows instead of columns (unpivoted format).

Last updated: 2025-09-11T23:00:00+0200

Tables

Transition From Employment To Unemployment By Sex, Age And Degree Of Urbanisation (annual Averages Of Quarterly Transitions, Estimated Probabilities) - Experimental Statistics - Raw

@eurostat.lfsi_long_e04.raw

16.38 kB
485 rows
19 columns

CREATE TABLE raw (
  "freq" VARCHAR,
  "deg_urb" VARCHAR,
  "age" VARCHAR,
  "unit" VARCHAR,
  "geo" VARCHAR,
  "n_2011" DOUBLE  -- 2011,
  "n_2012" DOUBLE  -- 2012,
  "n_2013" DOUBLE  -- 2013,
  "n_2014" DOUBLE  -- 2014,
  "n_2015" DOUBLE  -- 2015,
  "n_2016" DOUBLE  -- 2016,
  "n_2017" DOUBLE  -- 2017,
  "n_2018" DOUBLE  -- 2018,
  "n_2019" DOUBLE  -- 2019,
  "n_2020" DOUBLE  -- 2020,
  "n_2021" DOUBLE  -- 2021,
  "n_2022" DOUBLE  -- 2022,
  "n_2023" DOUBLE  -- 2023,
  "n_2024" DOUBLE  -- 2024
);

Transition From Employment To Unemployment By Sex, Age And Degree Of Urbanisation (annual Averages Of Quarterly Transitions, Estimated Probabilities) - Experimental Statistics - Unpivoted

@eurostat.lfsi_long_e04.tidy

7.82 kB
2,501 rows
7 columns

CREATE TABLE tidy (
  "freq" VARCHAR,
  "deg_urb" VARCHAR,
  "age" VARCHAR,
  "unit" VARCHAR,
  "geo" VARCHAR,
  "time_period" VARCHAR,
  "value" DOUBLE
);