Baselight

Index Of Total Actual Hours Worked In The Main Job By Sex And Age Group (2021 = 100) - Quarterly Data

Eurostat code: lfsi_ahw_q · (2009-Q1 - 2024-Q4)

@eurostat.lfsi_ahw_q

Index Of Total Actual Hours Worked In The Main Job By Sex And Age Group (2021 = 100) - Quarterly Data - Raw
@eurostat.lfsi_ahw_q.raw

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

  • 149.82 KB
  • 630 rows
  • 70 columns
freq

Freq

s_adj

S Adj

sex

Sex

age

Age

unit

Unit

geo

Geo

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

QuarterlyUnadjusted data (i.e. neither seasonally adjusted nor calendar adjusted data)FemalesFrom 15 to 74 yearsIndex, 2021=100Austria100102.598.899102102.497.1100.8104.9103.497.1101.7104.6102.297.4102.6101.9103.896.9102.9103.410295.8104.1101.2103.198.1101.1102.9107.198.1103.9107.1104.296.6104.9105.6106.298.3106.4108.3106.1100.8109102.389.697.395.697.1102100.6100.3105106.2101.5105.6110.3108.1104.5105.2106.4107.298.9108
QuarterlyUnadjusted data (i.e. neither seasonally adjusted nor calendar adjusted data)FemalesFrom 15 to 74 yearsIndex, 2021=100Bosnia and Herzegovina94.9100.4101.8103103.2102.3101102.7104.8106.3107.7108.8106.4111.1113.3
QuarterlyUnadjusted data (i.e. neither seasonally adjusted nor calendar adjusted data)FemalesFrom 15 to 74 yearsIndex, 2021=100Belgium92.890.383.394.1101.293.283.896.396.398.385.795.599.596.387.597.498.5101.290.498.9101102.190.8105.3103102.390.6101.6105.810391.3102.398.395.182.494.397.694.686.298.899.899.28698.69583.885.791.8104.6101.992.4101.1111.2106.492.6105.6110.4104.993.5106.2109.4106.995107.9
QuarterlyUnadjusted data (i.e. neither seasonally adjusted nor calendar adjusted data)FemalesFrom 15 to 74 yearsIndex, 2021=100Bulgaria110.9113.9111.5111.7106.9110109.4109.4105.1105.1105.4108.9104.5103.5105.5103.4102103.8106.3104102.4104.9106.4107.3104.8106.6108.1109.2104.9105.3104.1106.4107.3111.6109.7109.4109110108.1109.1105.7107.7105.4105.1101.893.1102.998.59998.8102.1100.2103101.5102.5104.2103.499.8100.4100.6100.8100.6100.3100.7
QuarterlyUnadjusted data (i.e. neither seasonally adjusted nor calendar adjusted data)FemalesFrom 15 to 74 yearsIndex, 2021=100Switzerland86.286.885.279.28888.287.480.290.887.88782.489.985.188.384.592.385.390.685.696.589.493.7889897.697899997.995.787.599.197.19689.610096.69790.6100.797.584.387.899.698.2100.195.4106.4103.7106.398.3108.4106.3106.6100.1109.9107.3110.1101.9110.5
QuarterlyUnadjusted data (i.e. neither seasonally adjusted nor calendar adjusted data)FemalesFrom 15 to 74 yearsIndex, 2021=100Cyprus85.588.882.791.892.696.284.29896.298.785.798.397.593.786.696.989.586.981.288.48787.882.689.984.487.280.690.184.888.983.590.388.1908593.593.295.489.9989699.893.5100.392.378.190.697.594.299.998.1107.8101.8109.4102112116.4117.8109.8120.5117.5117.3109.3116.1
QuarterlyUnadjusted data (i.e. neither seasonally adjusted nor calendar adjusted data)FemalesFrom 15 to 74 yearsIndex, 2021=100Czechia100.7102.590.398.4102.4103.287.896.5102.9101.585.996.610399.984.198.698.4100.887.197.3100.4100.390.198.2101.9105.192.595.4106.8111.390.5102.7109.7104.490104.7107.7108.894107.7109.9106.695.1104.7102.593.39590.999.2106.994.699.4103102.787.298.2100.796.783.496.1104.110490101.3
QuarterlyUnadjusted data (i.e. neither seasonally adjusted nor calendar adjusted data)FemalesFrom 15 to 74 yearsIndex, 2021=100Germany96.595.793.6100.197.696.493.798.998.59693.498.998.79694.29898.397.794.598.699.99896.4100.699.799.196.6102.3102.8103.499106104.7101.399.6104.2104.6102.4101.4105.5106.5103101.3108.498.8100.798.9101.6105.7104.399.8102.7107.6105.4102.4102.9106.2105.9101.7104.3
QuarterlyUnadjusted data (i.e. neither seasonally adjusted nor calendar adjusted data)FemalesFrom 15 to 74 yearsIndex, 2021=100Denmark97.79687.293.293.297.485.691.496.894.384.993.497.295.684.594.792.898.286.295.295.795.585.295.194.196.386.498.495.7100.287.795.3100.497.687.697.198.7104.29299.210296.391.210198.29391102.498.7108.792.999.7109.3106.494.8101.9111.6103.397.4102.7104.6109.492.6101.3
QuarterlyUnadjusted data (i.e. neither seasonally adjusted nor calendar adjusted data)FemalesFrom 15 to 74 yearsIndex, 2021=100Euro area – 20 countries (from 2023)98.598.89098.699.699.490.398.299.69989.59899.297.3899796.297.28997.297.797.689.899.597.899.39199.7101102.992.7101.6103101.793.4102.8103103.895.7104.5105.2104.896.4106.4100.38793.399.699.1102.795.8102.4107.2106.797.4105.8110.5108.499.6107.5109.6110.5100.9109.8

CREATE TABLE raw (
  "freq" VARCHAR,
  "s_adj" VARCHAR,
  "sex" VARCHAR,
  "age" VARCHAR,
  "unit" VARCHAR,
  "geo" VARCHAR,
  "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,
  "n_2021_q1" DOUBLE,
  "n_2021_q2" DOUBLE,
  "n_2021_q3" DOUBLE,
  "n_2021_q4" DOUBLE,
  "n_2022_q1" DOUBLE,
  "n_2022_q2" DOUBLE,
  "n_2022_q3" DOUBLE,
  "n_2022_q4" DOUBLE,
  "n_2023_q1" DOUBLE,
  "n_2023_q2" DOUBLE,
  "n_2023_q3" DOUBLE,
  "n_2023_q4" DOUBLE,
  "n_2024_q1" DOUBLE,
  "n_2024_q2" DOUBLE,
  "n_2024_q3" DOUBLE,
  "n_2024_q4" DOUBLE
);

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