Persons Reporting A Work-related Health Problem By Sex, Age And NACE Rev. 2 Activity

Eurostat code: hsw_pb6b · (2013 - 2020)

@eurostat.hsw_pb6b

Table List

2 tables(34.32 KB)

Persons Reporting A Work-related Health Problem By Sex, Age And NACE Rev. 2 Activity - Raw

Persons Reporting A Work-related Health Problem By Sex, Age And NACE Rev. 2 Activity - Unpivoted

Persons Reporting A Work-related Health Problem By Sex, Age And NACE Rev. 2 Activity - Raw

@eurostat.hsw_pb6b.raw

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

17.5 KB
4292 rows
8 columns

freq Freq	sex Sex	age Age	nace_r2 Nace R2	unit Unit	geo Geo	n_2013 2013	n_2020 2020
Annual	Females	From 15 to 34 years	Agriculture, forestry and fishing	Percentage of persons employed and previously employed	Austria
Annual	Females	From 15 to 34 years	Agriculture, forestry and fishing	Percentage of persons employed and previously employed	Belgium
Annual	Females	From 15 to 34 years	Agriculture, forestry and fishing	Percentage of persons employed and previously employed	Bulgaria
Annual	Females	From 15 to 34 years	Agriculture, forestry and fishing	Percentage of persons employed and previously employed	Switzerland	21.4	17.2
Annual	Females	From 15 to 34 years	Agriculture, forestry and fishing	Percentage of persons employed and previously employed	Cyprus
Annual	Females	From 15 to 34 years	Agriculture, forestry and fishing	Percentage of persons employed and previously employed	Czechia
Annual	Females	From 15 to 34 years	Agriculture, forestry and fishing	Percentage of persons employed and previously employed	Germany
Annual	Females	From 15 to 34 years	Agriculture, forestry and fishing	Percentage of persons employed and previously employed	Denmark
Annual	Females	From 15 to 34 years	Agriculture, forestry and fishing	Percentage of persons employed and previously employed	Euro area - 19 countries (2015-2022)
Annual	Females	From 15 to 34 years	Agriculture, forestry and fishing	Percentage of persons employed and previously employed	Estonia


CREATE TABLE raw (
  "freq" VARCHAR,
  "sex" VARCHAR,
  "age" VARCHAR,
  "nace_r2" VARCHAR,
  "unit" VARCHAR,
  "geo" VARCHAR,
  "n_2013" DOUBLE,
  "n_2020" DOUBLE
);

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