Employed Persons Having A Second Job By Sex, Age And Professional Status Of Both Jobs (1–000)

Eurostat code: lfsa_e2gps · (1983 - 2024)

@eurostat.lfsa_e2gps

Table List

2 tables(2.27 MB)

Employed Persons Having A Second Job By Sex, Age And Professional Status Of Both Jobs (1–000) - Raw

Employed Persons Having A Second Job By Sex, Age And Professional Status Of Both Jobs (1–000) - Unpivoted

Employed Persons Having A Second Job By Sex, Age And Professional Status Of Both Jobs (1–000) - Unpivoted

@eurostat.lfsa_e2gps.tidy

This table contains the same data as the raw table, but in a tidy format: time period values are unpivoted into rows under a single time_period column, making the dataset easier to analyze and visualize.

1.04 MB
466681 rows
9 columns

freq Freq	age Age	unit Unit	sex Sex	wstatus2 Wstatus2	wstatus Wstatus	geo Geo	time_period Time Period	value Value
Annual	From 15 to 24 years	Thousand persons	Females	Employed persons	Employed persons	Belgium	1983	3.1
Annual	From 15 to 24 years	Thousand persons	Females	Employed persons	Employed persons	Germany	1983	13.8
Annual	From 15 to 24 years	Thousand persons	Females	Employed persons	Employed persons	Denmark	1983	23.2
Annual	From 15 to 24 years	Thousand persons	Females	Employed persons	Employed persons	Italy	1983	14.7
Annual	From 15 to 24 years	Thousand persons	Females	Employed persons	Employed persons	Netherlands	1983	6.5
Annual	From 15 to 24 years	Thousand persons	Females	Employed persons	Employed persons	United Kingdom	1983	45.3
Annual	From 15 to 24 years	Thousand persons	Females	Employed persons	Employed persons except contributing family workers	Belgium	1983	3.1
Annual	From 15 to 24 years	Thousand persons	Females	Employed persons	Employed persons except contributing family workers	Germany	1983	13.8
Annual	From 15 to 24 years	Thousand persons	Females	Employed persons	Employed persons except contributing family workers	Denmark	1983	23.1
Annual	From 15 to 24 years	Thousand persons	Females	Employed persons	Employed persons except contributing family workers	Italy	1983	14


CREATE TABLE tidy (
  "freq" VARCHAR,
  "age" VARCHAR,
  "unit" VARCHAR,
  "sex" VARCHAR,
  "wstatus2" VARCHAR,
  "wstatus" VARCHAR,
  "geo" VARCHAR,
  "time_period" VARCHAR,
  "value" DOUBLE
);

Share link

Anyone who has the link will be able to view this.