Employment By Sex, Age, Migration Status, Professional Status And Full/part Time

Eurostat code: lfsa_egaftsm · (2021 - 2024)

@eurostat.lfsa_egaftsm

Table List

2 tables(1.7 MB)

Employment By Sex, Age, Migration Status, Professional Status And Full/part Time - Raw

Employment By Sex, Age, Migration Status, Professional Status And Full/part Time - Unpivoted

Employment By Sex, Age, Migration Status, Professional Status And Full/part Time - Raw

@eurostat.lfsa_egaftsm.raw

This table contains the original data as downloaded from the Eurostat API, with labels mapped where available.

874.62 KB
106785 rows
12 columns

freq Freq	worktime Worktime	wstatus Wstatus	mgstatus Mgstatus	age Age	sex Sex	unit Unit	geo Geo
Annual	Full-time	Contributing family workers	Foreign-born (first generation)	From 15 to 24 years	Females	Thousand persons	Austria
Annual	Full-time	Contributing family workers	Foreign-born (first generation)	From 15 to 24 years	Females	Thousand persons	Switzerland
Annual	Full-time	Contributing family workers	Foreign-born (first generation)	From 15 to 24 years	Females	Thousand persons	Germany
Annual	Full-time	Contributing family workers	Foreign-born (first generation)	From 15 to 24 years	Females	Thousand persons	Denmark
Annual	Full-time	Contributing family workers	Foreign-born (first generation)	From 15 to 24 years	Females	Thousand persons	Euro area – 20 countries (from 2023)
Annual	Full-time	Contributing family workers	Foreign-born (first generation)	From 15 to 24 years	Females	Thousand persons	Greece
Annual	Full-time	Contributing family workers	Foreign-born (first generation)	From 15 to 24 years	Females	Thousand persons	Spain
Annual	Full-time	Contributing family workers	Foreign-born (first generation)	From 15 to 24 years	Females	Thousand persons	European Union - 27 countries (from 2020)
Annual	Full-time	Contributing family workers	Foreign-born (first generation)	From 15 to 24 years	Females	Thousand persons	France
Annual	Full-time	Contributing family workers	Foreign-born (first generation)	From 15 to 24 years	Females	Thousand persons	Ireland


CREATE TABLE raw (
  "freq" VARCHAR,
  "worktime" VARCHAR,
  "wstatus" VARCHAR,
  "mgstatus" VARCHAR,
  "age" VARCHAR,
  "sex" VARCHAR,
  "unit" VARCHAR,
  "geo" VARCHAR,
  "n_2021" DOUBLE,
  "n_2022" DOUBLE,
  "n_2023" DOUBLE,
  "n_2024" DOUBLE
);

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