Baselight

Index Of Total Actual Hours Worked In The Main Job By Sex And Age Group (2006 = 100) (2006-2020) - Quarterly Data

Eurostat code: lfsi_ahw_q_h ยท (2006-Q1 - 2020-Q4)

@eurostat.lfsi_ahw_q_h

Index Of Total Actual Hours Worked In The Main Job By Sex And Age Group (2006 = 100) (2006-2020) - Quarterly Data - Raw
@eurostat.lfsi_ahw_q_h.raw

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

  • 93.48 KB
  • 201 rows
  • 66 columns
freq

Freq

age

Age

s_adj

S Adj

sex

Sex

unit

Unit

geo

Geo

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

QuarterlyFrom 20 to 64 yearsUnadjusted data (i.e. neither seasonally adjusted nor calendar adjusted data)FemalesIndex, 2006=100Austria100.9100.795.6102.7104.4102.597.9103.5103.6108.299.8104.3101.3104.398.6100.1103.9104.797.6102.7107.1105.997.5103.6106.7104.397.9104104.5106.997.7105.4106.1104.797.3106.5103.9105.999.4103.7106110.599.7107.2110.8107.899.1108.4109.3110.1100.5109.5112.1110.4103.3113.1106.193.299.999.1
QuarterlyFrom 20 to 64 yearsUnadjusted data (i.e. neither seasonally adjusted nor calendar adjusted data)FemalesIndex, 2006=100Belgium106.810287.9103.4108.1108.295.2111.3111.4112100.2110.3111.110898.8112.5121.3111.599.6114.8115117.3101.7114118.8115.2104.1116.3118121.1107.7117.9121122.1108.1125.8123122.3108121.1126.6123.2109122117.7113.998.2112.8116.6113.3102.5118119.4118.4102.1117.8113.6100.1102109.7
QuarterlyFrom 20 to 64 yearsUnadjusted data (i.e. neither seasonally adjusted nor calendar adjusted data)FemalesIndex, 2006=100Bulgaria95.6100.899.8103.8100.4104.6103.1108.5107.5108.7107.3107.4100.6103100.8101.297.210099.399.495.695.795.7999593.995.593.792.594.196.494.392.89596.29794.896.597.798.694.89593.996.196.599.998.498.497.998.796.497.699.9101.59999.596.487.997.393.1
QuarterlyFrom 20 to 64 yearsUnadjusted data (i.e. neither seasonally adjusted nor calendar adjusted data)FemalesIndex, 2006=100Cyprus101.2100.192106.6107.6109100.9113.6111.5110101.4112.3109.8114.2105.7117.5118.6123.6107.8125.6123.8127110.2126.9125.6120.6111.7125.2115.8112.3104.6114.1112.1113.5106.6115.8108.7112.3103.5115.9109.4114.6107.2116.4113.5116.2109.9120.7120.2122.5115.1126.2121.2125.2117126.2116.396113.1121.7
QuarterlyFrom 20 to 64 yearsUnadjusted data (i.e. neither seasonally adjusted nor calendar adjusted data)FemalesIndex, 2006=100Czechia104.9102.991.1101.1104.6104.691.7102.1104.6106.596101.9101.2102.990.598.7103103.988.297103.8102.286.297.1103.7100.684.599.199101.287.497.7101100.890.498.7102.3105.592.495.5106.9111.490.4102.8109.8104.589.7104.7107.6108.693.6107.5109.5106.394.7104.5102.493.394.790.7
QuarterlyFrom 20 to 64 yearsUnadjusted data (i.e. neither seasonally adjusted nor calendar adjusted data)FemalesIndex, 2006=100Germany99.799.597.9102.9101.7100.499.5104.7102.6102.9101.9105.9102.3101.799105.9103.6102.799.3105104.8102.399.5105105.2102.8100.1104.3104.6104.3100.6104.9106.2104.5102.6107106105.8102.9108.5109.4110.2105.2112.7111.3107.7105.8110.5111109.1107.7112113109.5107.5114.9
QuarterlyFrom 20 to 64 yearsUnadjusted data (i.e. neither seasonally adjusted nor calendar adjusted data)FemalesIndex, 2006=100Denmark106.410090.9102.8107.1102.294.5104.8102.3107.194.8105.2104.8102.793.199.899.9104.791.598.1104.1100.890.5100104.9102.589.6101.299.7105.291.4101.8102.9102.390.4101.4101.1103.192.1105.6102.7107.393.7102.1108.1104.493.5104.3106.111298106.3109.4103.197.2108.4105.399.796.9109.5
QuarterlyFrom 20 to 64 yearsUnadjusted data (i.e. neither seasonally adjusted nor calendar adjusted data)FemalesIndex, 2006=100Estonia101.7102.494.5101.4101.999.894.899.499.3100.994.997.492.388.979.286.888.684.277.5888888.385.791.791.791.680.589.388.790.981.291.588.190.182.190.989.889.28390.68990.381.289.192.187.284.892.98989.279.587.889.788.479.989.286.577.779.487.1
QuarterlyFrom 20 to 64 yearsUnadjusted data (i.e. neither seasonally adjusted nor calendar adjusted data)FemalesIndex, 2006=100Greece98.1101.4100100.597.3101.298.3101.699.3105.299.4103.6100103.910010198.1103.798.198.996.198.293.791.888.588.885.38581.184.681.581.480.885.182.684.881.787.986.286.984.388.986.385.584.790.887.486.583.790.789.58886.794.791.791.98267.789.381.9
QuarterlyFrom 20 to 64 yearsUnadjusted data (i.e. neither seasonally adjusted nor calendar adjusted data)FemalesIndex, 2006=100Spain102.2102.492.9102.4106.2107.196.1106.3106.4113.398.5109.3105.9107.194.6105.2104.7108.895103106.6107.194.5101.6103.2102.390.697.496.4100.489.298.798.199.488.7100.998.4102.392.1103.1102.3107.795103.5106106.495.3104.7107.2112.499.9109.1110.8112.3100.2112.2107.681.892.3105.1

CREATE TABLE raw (
  "freq" VARCHAR,
  "age" VARCHAR,
  "s_adj" VARCHAR,
  "sex" VARCHAR,
  "unit" VARCHAR,
  "geo" VARCHAR,
  "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,
  "n_2019_q3" DOUBLE,
  "n_2019_q4" DOUBLE,
  "n_2020_q1" DOUBLE,
  "n_2020_q2" DOUBLE,
  "n_2020_q3" DOUBLE,
  "n_2020_q4" DOUBLE
);

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