Accidents At Work By Sex, Age, Severity, NACE Rev. 2 Activity And Specific Physical Activity

Eurostat code: hsw_ph3_04 · (2014 - 2022)

@eurostat.hsw_ph3_04

Table List

2 tables(12.83 MB)

Accidents At Work By Sex, Age, Severity, NACE Rev. 2 Activity And Specific Physical Activity - Raw

Accidents At Work By Sex, Age, Severity, NACE Rev. 2 Activity And Specific Physical Activity - Unpivoted

Accidents At Work By Sex, Age, Severity, NACE Rev. 2 Activity And Specific Physical Activity - Raw

@eurostat.hsw_ph3_04.raw

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

6.4 MB
881280 rows
17 columns

freq Freq	physact Physact	severity Severity	nace_r2 Nace R2	sex Sex	age Age	unit Unit	geo Geo	n_2014 2014	n_2015 2015	n_2016 2016	n_2017 2017	n_2018 2018	n_2019 2019	n_2020 2020	n_2021 2021	n_2022 2022
Annual	Operating machine	4 days or over	Agriculture, forestry and fishing	Females	Total	Number	Austria	47	29	47	35	26	22	27	26	18
Annual	Operating machine	4 days or over	Agriculture, forestry and fishing	Females	Total	Number	Belgium
Annual	Operating machine	4 days or over	Agriculture, forestry and fishing	Females	Total	Number	Bulgaria									1
Annual	Operating machine	4 days or over	Agriculture, forestry and fishing	Females	Total	Number	Switzerland	20	40	40		60	20		20	80
Annual	Operating machine	4 days or over	Agriculture, forestry and fishing	Females	Total	Number	Cyprus
Annual	Operating machine	4 days or over	Agriculture, forestry and fishing	Females	Total	Number	Czechia
Annual	Operating machine	4 days or over	Agriculture, forestry and fishing	Females	Total	Number	Germany
Annual	Operating machine	4 days or over	Agriculture, forestry and fishing	Females	Total	Number	Denmark
Annual	Operating machine	4 days or over	Agriculture, forestry and fishing	Females	Total	Number	Estonia	2		12	5	4	3	5		1
Annual	Operating machine	4 days or over	Agriculture, forestry and fishing	Females	Total	Number	Greece


CREATE TABLE raw (
  "freq" VARCHAR,
  "physact" VARCHAR,
  "severity" VARCHAR,
  "nace_r2" VARCHAR,
  "sex" VARCHAR,
  "age" VARCHAR,
  "unit" VARCHAR,
  "geo" VARCHAR,
  "n_2014" DOUBLE,
  "n_2015" DOUBLE,
  "n_2016" DOUBLE,
  "n_2017" DOUBLE,
  "n_2018" DOUBLE,
  "n_2019" DOUBLE,
  "n_2020" DOUBLE,
  "n_2021" DOUBLE,
  "n_2022" DOUBLE
);

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