Name: Employed Persons By Actual Hours Worked In Main And Second Job During The Reference Week - Quarterly Data
Creator: Eurostat
License: https://ec.europa.eu/eurostat/statistics-explained/index.php?title=Copyright/licence_policy

About this Dataset

Employed Persons By Actual Hours Worked In Main And Second Job During The Reference Week - Quarterly Data

This Eurostat dataset contains data on employed persons by actual hours worked in main and second job during the reference week - quarterly data, 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: 2025-10-06T23:00:00+0200

Tables

Employed Persons By Actual Hours Worked In Main And Second Job During The Reference Week - Quarterly Data - Raw

@eurostat.lfsi_hwa_q.raw

461.59 kB
10,080 rows
25 columns

CREATE TABLE raw (
  "freq" VARCHAR,
  "s_adj" VARCHAR,
  "duration" VARCHAR,
  "sex" VARCHAR,
  "age" VARCHAR,
  "unit" VARCHAR,
  "geo" VARCHAR,
  "n_2021_q1" DOUBLE  -- 2021-Q1,
  "n_2021_q2" DOUBLE  -- 2021-Q2,
  "n_2021_q3" DOUBLE  -- 2021-Q3,
  "n_2021_q4" DOUBLE  -- 2021-Q4,
  "n_2022_q1" DOUBLE  -- 2022-Q1,
  "n_2022_q2" DOUBLE  -- 2022-Q2,
  "n_2022_q3" DOUBLE  -- 2022-Q3,
  "n_2022_q4" DOUBLE  -- 2022-Q4,
  "n_2023_q1" DOUBLE  -- 2023-Q1,
  "n_2023_q2" DOUBLE  -- 2023-Q2,
  "n_2023_q3" DOUBLE  -- 2023-Q3,
  "n_2023_q4" DOUBLE  -- 2023-Q4,
  "n_2024_q1" DOUBLE  -- 2024-Q1,
  "n_2024_q2" DOUBLE  -- 2024-Q2,
  "n_2024_q3" DOUBLE  -- 2024-Q3,
  "n_2024_q4" DOUBLE  -- 2024-Q4,
  "n_2025_q1" DOUBLE  -- 2025-Q1,
  "n_2025_q2" DOUBLE  -- 2025-Q2
);

Employed Persons By Actual Hours Worked In Main And Second Job During The Reference Week - Quarterly Data - Unpivoted

@eurostat.lfsi_hwa_q.tidy

376.94 kB
180,902 rows
9 columns

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