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Labour Productivity And Unit Labour Costs By Industry (NACE Rev.2)

Eurostat code: nama_10_lp_a21 ยท (1975 - 2024)

@eurostat.nama_10_lp_a21

Labour Productivity And Unit Labour Costs By Industry (NACE Rev.2) - Raw
@eurostat.nama_10_lp_a21.raw

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

  • 1.96 MB
  • 17306 rows
  • 55 columns
freq

Freq

unit

Unit

nace_r2

Nace R2

na_item

Na Item

geo

Geo

n_1975

1975

n_1976

1976

n_1977

1977

n_1978

1978

n_1979

1979

n_1980

1980

n_1981

1981

n_1982

1982

n_1983

1983

n_1984

1984

n_1985

1985

n_1986

1986

n_1987

1987

n_1988

1988

n_1989

1989

n_1990

1990

n_1991

1991

n_1992

1992

n_1993

1993

n_1994

1994

n_1995

1995

n_1996

1996

n_1997

1997

n_1998

1998

n_1999

1999

n_2000

2000

n_2001

2001

n_2002

2002

n_2003

2003

n_2004

2004

n_2005

2005

n_2006

2006

n_2007

2007

n_2008

2008

n_2009

2009

n_2010

2010

n_2011

2011

n_2012

2012

n_2013

2013

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

n_2023

2023

n_2024

2024

AnnualEuroAgriculture, forestry and fishingCompensation of employees per hour workedAustria9.49.59.49.69.79.99.61010.110.110.210.110.610.81111.711.511.812.412.513.213.413.914.214.215.216.417.719.520.4
AnnualEuroAgriculture, forestry and fishingCompensation of employees per hour workedBelgium12.913.212.912.912.912.21312.412.713.113.113.313.313.913.71414.415.115.115.11515.115.515.516.416.216.217.719.820.3
AnnualEuroAgriculture, forestry and fishingCompensation of employees per hour workedBulgaria0.50.50.60.80.80.810.91111.11.21.51.81.92.22.52.93.13.33.33.83.94.14.34.75.56.37.1
AnnualEuroAgriculture, forestry and fishingCompensation of employees per hour workedSwitzerland10.511.41111.112.712.11313.618.119.218.720.620.6
AnnualEuroAgriculture, forestry and fishingCompensation of employees per hour workedCyprus3.13.63.83.53.53.63.84.35.95.96.37.57.18.17.26.777.37.36.76.46.67.27.47.67.47.57.988.2
AnnualEuroAgriculture, forestry and fishingCompensation of employees per hour workedCzechia1.92.22.42.52.52.83.33.944.14.455.66.66.16.66.9776.877.38.19.210.110.411.613.314.313.7
AnnualEuroAgriculture, forestry and fishingCompensation of employees per hour workedGermany1010.41212.713.413.513.11313.613.813.713.813.813.613.413.213.213.613.813.814.61515.61616.216.917.317.417.918.218.219.120.621.4
AnnualEuroAgriculture, forestry and fishingCompensation of employees per hour workedDenmark22.42.733.33.64.14.65.25.76.26.87.58.38.69.39.510.310.911.311.812.41313.413.81414.415.215.616.316.517.118.318.919.620.720.721.121.622.124.925.625.926.92828.828.730.731.132.2
AnnualEuroAgriculture, forestry and fishingCompensation of employees per hour workedEuro area (EA11-1999, EA12-2001, EA13-2007, EA15-2008, EA16-2009, EA17-2011, EA18-2014, EA19-2015, EA20-2023)8.798.98.899.28.79.19.49.610.210.110.410.610.610.710.911.111.411.411.211.211.411.711.912.612.813.514.214.7
AnnualEuroAgriculture, forestry and fishingCompensation of employees per hour workedEuro area - 12 countries (2001-2006)88.28.28.18.38.58.79.19.49.610.210.110.410.610.810.911.111.411.711.811.811.611.912.112.31313.113.814.615.1

CREATE TABLE raw (
  "freq" VARCHAR,
  "unit" VARCHAR,
  "nace_r2" VARCHAR,
  "na_item" VARCHAR,
  "geo" VARCHAR,
  "n_1975" DOUBLE,
  "n_1976" DOUBLE,
  "n_1977" DOUBLE,
  "n_1978" DOUBLE,
  "n_1979" DOUBLE,
  "n_1980" DOUBLE,
  "n_1981" DOUBLE,
  "n_1982" DOUBLE,
  "n_1983" DOUBLE,
  "n_1984" DOUBLE,
  "n_1985" DOUBLE,
  "n_1986" DOUBLE,
  "n_1987" DOUBLE,
  "n_1988" DOUBLE,
  "n_1989" DOUBLE,
  "n_1990" DOUBLE,
  "n_1991" DOUBLE,
  "n_1992" DOUBLE,
  "n_1993" DOUBLE,
  "n_1994" DOUBLE,
  "n_1995" DOUBLE,
  "n_1996" DOUBLE,
  "n_1997" DOUBLE,
  "n_1998" DOUBLE,
  "n_1999" DOUBLE,
  "n_2000" DOUBLE,
  "n_2001" DOUBLE,
  "n_2002" DOUBLE,
  "n_2003" DOUBLE,
  "n_2004" DOUBLE,
  "n_2005" DOUBLE,
  "n_2006" DOUBLE,
  "n_2007" DOUBLE,
  "n_2008" DOUBLE,
  "n_2009" DOUBLE,
  "n_2010" DOUBLE,
  "n_2011" DOUBLE,
  "n_2012" DOUBLE,
  "n_2013" DOUBLE,
  "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,
  "n_2023" DOUBLE,
  "n_2024" DOUBLE
);

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