Employees By Sex, Age And Economic Activity (1983-2008, NACE Rev. 1.1) (1–000)

Eurostat code: lfsa_eegana · (1992 - 2008)

@eurostat.lfsa_eegana

Table List

2 tables(3.48 MB)

Employees By Sex, Age And Economic Activity (1983-2008, NACE Rev. 1.1) (1–000) - Raw

Employees By Sex, Age And Economic Activity (1983-2008, NACE Rev. 1.1) (1–000) - Unpivoted

Employees By Sex, Age And Economic Activity (1983-2008, NACE Rev. 1.1) (1–000) - Unpivoted

@eurostat.lfsa_eegana.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.

1.66 MB
578424 rows
8 columns

freq Freq	unit Unit	sex Sex	age Age	nace_r1 Nace R1	geo Geo	time_period Time Period	value Value
Annual	Thousand persons	Females	From 15 to 19 years	Agriculture, hunting and forestry	Italy	1992	7.4
Annual	Thousand persons	Females	From 15 to 19 years	Agriculture; fishing	Italy	1992	7.4
Annual	Thousand persons	Females	From 15 to 19 years	Industry	Italy	1992	100.5
Annual	Thousand persons	Females	From 15 to 19 years	Industry and services (except public administration and community services; activities of households and extra-territorial organizations)	Italy	1992	156.7
Annual	Thousand persons	Females	From 15 to 19 years	Manufacturing	Italy	1992	96.5
Annual	Thousand persons	Females	From 15 to 19 years	Wholesale and retail trade; repair of motor vehicles, motorcycles and personal and household goods	Italy	1992	30.2
Annual	Thousand persons	Females	From 15 to 19 years	Services (except public administration and community services; activities of households and extra-territorial organizations)	Italy	1992	56.2
Annual	Thousand persons	Females	From 15 to 19 years	Services	Italy	1992	94.6
Annual	Thousand persons	Females	From 15 to 19 years	Hotels and restaurants	Italy	1992	13.8
Annual	Thousand persons	Females	From 15 to 19 years	Real estate, renting and business activities	Italy	1992	10


CREATE TABLE tidy (
  "freq" VARCHAR,
  "unit" VARCHAR,
  "sex" VARCHAR,
  "age" VARCHAR,
  "nace_r1" VARCHAR,
  "geo" VARCHAR,
  "time_period" VARCHAR,
  "value" DOUBLE
);

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