Baselight

Labour Cost Index By NACE Rev. 2 Activity - Nominal Value, Quarterly Data

Eurostat code: lc_lci_r2_q · (1996-Q1 - 2024-Q4)

@eurostat.lc_lci_r2_q

Labour Cost Index By NACE Rev. 2 Activity - Nominal Value, Quarterly Data - Raw
@eurostat.lc_lci_r2_q.raw

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

  • 5.8 MB
  • 38822 rows
  • 122 columns
  • Only the first 100 columns are shown
freq

Freq

s_adj

S Adj

unit

Unit

nace_r2

Nace R2

lcstruct

Lcstruct

geo

Geo

n_1996_q1

1996-Q1

n_1996_q2

1996-Q2

n_1996_q3

1996-Q3

n_1996_q4

1996-Q4

n_1997_q1

1997-Q1

n_1997_q2

1997-Q2

n_1997_q3

1997-Q3

n_1997_q4

1997-Q4

n_1998_q1

1998-Q1

n_1998_q2

1998-Q2

n_1998_q3

1998-Q3

n_1998_q4

1998-Q4

n_1999_q1

1999-Q1

n_1999_q2

1999-Q2

n_1999_q3

1999-Q3

n_1999_q4

1999-Q4

n_2000_q1

2000-Q1

n_2000_q2

2000-Q2

n_2000_q3

2000-Q3

n_2000_q4

2000-Q4

n_2001_q1

2001-Q1

n_2001_q2

2001-Q2

n_2001_q3

2001-Q3

n_2001_q4

2001-Q4

n_2002_q1

2002-Q1

n_2002_q2

2002-Q2

n_2002_q3

2002-Q3

n_2002_q4

2002-Q4

n_2003_q1

2003-Q1

n_2003_q2

2003-Q2

n_2003_q3

2003-Q3

n_2003_q4

2003-Q4

n_2004_q1

2004-Q1

n_2004_q2

2004-Q2

n_2004_q3

2004-Q3

n_2004_q4

2004-Q4

n_2005_q1

2005-Q1

n_2005_q2

2005-Q2

n_2005_q3

2005-Q3

n_2005_q4

2005-Q4

n_2006_q1

2006-Q1

n_2006_q2

2006-Q2

n_2006_q3

2006-Q3

n_2006_q4

2006-Q4

n_2007_q1

2007-Q1

n_2007_q2

2007-Q2

n_2007_q3

2007-Q3

n_2007_q4

2007-Q4

n_2008_q1

2008-Q1

n_2008_q2

2008-Q2

n_2008_q3

2008-Q3

n_2008_q4

2008-Q4

n_2009_q1

2009-Q1

n_2009_q2

2009-Q2

n_2009_q3

2009-Q3

n_2009_q4

2009-Q4

n_2010_q1

2010-Q1

n_2010_q2

2010-Q2

n_2010_q3

2010-Q3

n_2010_q4

2010-Q4

n_2011_q1

2011-Q1

n_2011_q2

2011-Q2

n_2011_q3

2011-Q3

n_2011_q4

2011-Q4

n_2012_q1

2012-Q1

n_2012_q2

2012-Q2

n_2012_q3

2012-Q3

n_2012_q4

2012-Q4

n_2013_q1

2013-Q1

n_2013_q2

2013-Q2

n_2013_q3

2013-Q3

n_2013_q4

2013-Q4

n_2014_q1

2014-Q1

n_2014_q2

2014-Q2

n_2014_q3

2014-Q3

n_2014_q4

2014-Q4

n_2015_q1

2015-Q1

n_2015_q2

2015-Q2

n_2015_q3

2015-Q3

n_2015_q4

2015-Q4

n_2016_q1

2016-Q1

n_2016_q2

2016-Q2

n_2016_q3

2016-Q3

n_2016_q4

2016-Q4

n_2017_q1

2017-Q1

n_2017_q2

2017-Q2

n_2017_q3

2017-Q3

n_2017_q4

2017-Q4

n_2018_q1

2018-Q1

n_2018_q2

2018-Q2

n_2018_q3

2018-Q3

n_2018_q4

2018-Q4

n_2019_q1

2019-Q1

n_2019_q2

2019-Q2

n_2019_q3

2019-Q3

n_2019_q4

2019-Q4

n_2020_q1

2020-Q1

n_2020_q2

2020-Q2

n_2020_q3

2020-Q3

n_2020_q4

2020-Q4

n_2021_q1

2021-Q1

n_2021_q2

2021-Q2

n_2021_q3

2021-Q3

n_2021_q4

2021-Q4

n_2022_q1

2022-Q1

n_2022_q2

2022-Q2

n_2022_q3

2022-Q3

n_2022_q4

2022-Q4

n_2023_q1

2023-Q1

n_2023_q2

2023-Q2

n_2023_q3

2023-Q3

n_2023_q4

2023-Q4

n_2024_q1

2024-Q1

n_2024_q2

2024-Q2

n_2024_q3

2024-Q3

n_2024_q4

2024-Q4

QuarterlyCalendar adjusted data, not seasonally adjusted dataIndex, 2016=100Mining and quarryingWages and salaries (total)Austria6068.261.981.76370.567.773.564.669.567.376.764.971.765.486.26870.965.980.572.573.169.780.470.274.668.380.37077.269.285.569.881.775.587.976.584.674.991.876.685.476.994.376.690.479.498.57993.58098.481.595.179.999.781.193.983.8102.483.699.385.3106.183.4100.485.7106.884.498.485.8106.786.5102.985.9107.786.7103.3
QuarterlyCalendar adjusted data, not seasonally adjusted dataIndex, 2016=100Mining and quarryingWages and salaries (total)Belgium61.563.866.472.663.165.568.775.166.168.271.17767.269.172.378.868.97174.580.770.572.476.782.97374.178.584.273.975.579.785.575.477.782.488.177.379.484.590.578.280.685.792.479.781.787.494.782.384.189.696.883.985.591.198.684.986.392.199.585.386.592.299.785.386.993.1100.88788.895.1103.589.29196.910691.793.3
QuarterlyCalendar adjusted data, not seasonally adjusted dataIndex, 2016=100Mining and quarryingWages and salaries (total)Bulgaria17.917.819.121.91919.92022.921.721.221.123.321.421.922.224.422.323.924.226.926.525.425.829.327.129.43035.930.73437.142.638.542.540.744.244.245.144.451.252.950.751.559.651.55555.966.2585861.666.858.259.159.571.364.263.362.375.663.565.964.775.363.168.967.778.970.47778.39380.284.582.498.887.188.7
QuarterlyCalendar adjusted data, not seasonally adjusted dataIndex, 2016=100Mining and quarryingWages and salaries (total)Cyprus74.184.988.392.878.389.893.498.181.793.697.3102.386.699.3103.2108.592.297.7103.1105.993.598.6100.7110.498.1101108.1118.397.9105.9112.2116.3100113.8114.9127.1101.4115.7111.7131.2106.6104.4113.6119.2103.4116.311311994.1103.5104.4105.781.58898.890.680.486.897.492.882.585.587.390.984.191.890.997.489.792.391104.398.8104.7110128.393.6100.4
QuarterlyCalendar adjusted data, not seasonally adjusted dataIndex, 2016=100Mining and quarryingWages and salaries (total)Czechia37.24342.646.540.647.145.752.244.449.548.654.544.849.748.457.444.850.453.463.75054.755.867.851.858.659.673.356.463.763.276.964.669.566.690.56466.765.684.564.871.571.589.767.47675.593.770.879.577.297.869.87378.594.470.775.974.690.571.575.37993.974.474.181.690.672.8828599.880.190.391.1103.783.994.8
QuarterlyCalendar adjusted data, not seasonally adjusted dataIndex, 2016=100Mining and quarryingWages and salaries (total)Germany7385.670.287.6759071.388.775.588.370.986.676.79172.789.375.194.175.594.583101.380.9101.382.7101.181.5102.187.4103.985.410589.2103.587.1102.690.7103.789.3105.790.9102.790.1108.193.8109.1
QuarterlyCalendar adjusted data, not seasonally adjusted dataIndex, 2016=100Mining and quarryingWages and salaries (total)Denmark
QuarterlyCalendar adjusted data, not seasonally adjusted dataIndex, 2016=100Mining and quarryingWages and salaries (total)Euro area (EA11-1999, EA12-2001, EA13-2007, EA15-2008, EA16-2009, EA17-2011, EA18-2014, EA19-2015, EA20-2023)67.976.169.680.969.880.172.581.974.18272.783.876.984.274.986.676.788.6779079.291.480.592.981.29381.893.186.495.88595.386.897.587.496.188.295.888.797.690.197.689.8100.392.5102.7
QuarterlyCalendar adjusted data, not seasonally adjusted dataIndex, 2016=100Mining and quarryingWages and salaries (total)Euro area - 19 countries (2015-2022)67.87669.680.769.879.972.481.773.981.872.583.676.884.174.786.576.588.576.889.979.191.380.392.881.192.981.69386.395.784.995.286.797.487.396.18895.888.597.79097.689.6100.492.4102.7
QuarterlyCalendar adjusted data, not seasonally adjusted dataIndex, 2016=100Mining and quarryingWages and salaries (total)Euro area – 20 countries (from 2023)53.561.956.666.654.762.859.367.45663.859.468.155.865.258.968.858.268.362.77359.970.364.172.262.771.766.275.968.176.369.981.170.180.272.78274.282.172.883.87784.375.186.876.888.777.190.279.491.580.793.181.393.281.993.386.69685.295.487.197.887.696.488.296.288.897.89097.889.7100.292.4102.7

CREATE TABLE raw (
  "freq" VARCHAR,
  "s_adj" VARCHAR,
  "unit" VARCHAR,
  "nace_r2" VARCHAR,
  "lcstruct" VARCHAR,
  "geo" VARCHAR,
  "n_1996_q1" DOUBLE,
  "n_1996_q2" DOUBLE,
  "n_1996_q3" DOUBLE,
  "n_1996_q4" DOUBLE,
  "n_1997_q1" DOUBLE,
  "n_1997_q2" DOUBLE,
  "n_1997_q3" DOUBLE,
  "n_1997_q4" DOUBLE,
  "n_1998_q1" DOUBLE,
  "n_1998_q2" DOUBLE,
  "n_1998_q3" DOUBLE,
  "n_1998_q4" DOUBLE,
  "n_1999_q1" DOUBLE,
  "n_1999_q2" DOUBLE,
  "n_1999_q3" DOUBLE,
  "n_1999_q4" DOUBLE,
  "n_2000_q1" DOUBLE,
  "n_2000_q2" DOUBLE,
  "n_2000_q3" DOUBLE,
  "n_2000_q4" DOUBLE,
  "n_2001_q1" DOUBLE,
  "n_2001_q2" DOUBLE,
  "n_2001_q3" DOUBLE,
  "n_2001_q4" DOUBLE,
  "n_2002_q1" DOUBLE,
  "n_2002_q2" DOUBLE,
  "n_2002_q3" DOUBLE,
  "n_2002_q4" DOUBLE,
  "n_2003_q1" DOUBLE,
  "n_2003_q2" DOUBLE,
  "n_2003_q3" DOUBLE,
  "n_2003_q4" DOUBLE,
  "n_2004_q1" DOUBLE,
  "n_2004_q2" DOUBLE,
  "n_2004_q3" DOUBLE,
  "n_2004_q4" DOUBLE,
  "n_2005_q1" DOUBLE,
  "n_2005_q2" DOUBLE,
  "n_2005_q3" DOUBLE,
  "n_2005_q4" DOUBLE,
  "n_2006_q1" DOUBLE,
  "n_2006_q2" DOUBLE,
  "n_2006_q3" DOUBLE,
  "n_2006_q4" DOUBLE,
  "n_2007_q1" DOUBLE,
  "n_2007_q2" DOUBLE,
  "n_2007_q3" DOUBLE,
  "n_2007_q4" DOUBLE,
  "n_2008_q1" DOUBLE,
  "n_2008_q2" DOUBLE,
  "n_2008_q3" DOUBLE,
  "n_2008_q4" DOUBLE,
  "n_2009_q1" DOUBLE,
  "n_2009_q2" DOUBLE,
  "n_2009_q3" DOUBLE,
  "n_2009_q4" DOUBLE,
  "n_2010_q1" DOUBLE,
  "n_2010_q2" DOUBLE,
  "n_2010_q3" DOUBLE,
  "n_2010_q4" DOUBLE,
  "n_2011_q1" DOUBLE,
  "n_2011_q2" DOUBLE,
  "n_2011_q3" DOUBLE,
  "n_2011_q4" DOUBLE,
  "n_2012_q1" DOUBLE,
  "n_2012_q2" DOUBLE,
  "n_2012_q3" DOUBLE,
  "n_2012_q4" DOUBLE,
  "n_2013_q1" DOUBLE,
  "n_2013_q2" DOUBLE,
  "n_2013_q3" DOUBLE,
  "n_2013_q4" DOUBLE,
  "n_2014_q1" DOUBLE,
  "n_2014_q2" DOUBLE,
  "n_2014_q3" DOUBLE,
  "n_2014_q4" DOUBLE,
  "n_2015_q1" DOUBLE,
  "n_2015_q2" DOUBLE,
  "n_2015_q3" DOUBLE,
  "n_2015_q4" DOUBLE,
  "n_2016_q1" DOUBLE,
  "n_2016_q2" DOUBLE,
  "n_2016_q3" DOUBLE,
  "n_2016_q4" DOUBLE,
  "n_2017_q1" DOUBLE,
  "n_2017_q2" DOUBLE,
  "n_2017_q3" DOUBLE,
  "n_2017_q4" DOUBLE,
  "n_2018_q1" DOUBLE,
  "n_2018_q2" DOUBLE,
  "n_2018_q3" DOUBLE,
  "n_2018_q4" DOUBLE,
  "n_2019_q1" DOUBLE,
  "n_2019_q2" DOUBLE
);

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