Baselight

Employment By Main Industry (NACE Rev.2) - National Accounts

Eurostat code: namq_10_a10_e ยท (1980-Q1 - 2024-Q4)

@eurostat.namq_10_a10_e

Employment By Main Industry (NACE Rev.2) - National Accounts - Raw
@eurostat.namq_10_a10_e.raw

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

  • 9.35 MB
  • 27616 rows
  • 186 columns
  • Only the first 100 columns are shown
freq

Freq

unit

Unit

nace_r2

Nace R2

s_adj

S Adj

na_item

Na Item

geo

Geo

n_1980_q1

1980-Q1

n_1980_q2

1980-Q2

n_1980_q3

1980-Q3

n_1980_q4

1980-Q4

n_1981_q1

1981-Q1

n_1981_q2

1981-Q2

n_1981_q3

1981-Q3

n_1981_q4

1981-Q4

n_1982_q1

1982-Q1

n_1982_q2

1982-Q2

n_1982_q3

1982-Q3

n_1982_q4

1982-Q4

n_1983_q1

1983-Q1

n_1983_q2

1983-Q2

n_1983_q3

1983-Q3

n_1983_q4

1983-Q4

n_1984_q1

1984-Q1

n_1984_q2

1984-Q2

n_1984_q3

1984-Q3

n_1984_q4

1984-Q4

n_1985_q1

1985-Q1

n_1985_q2

1985-Q2

n_1985_q3

1985-Q3

n_1985_q4

1985-Q4

n_1986_q1

1986-Q1

n_1986_q2

1986-Q2

n_1986_q3

1986-Q3

n_1986_q4

1986-Q4

n_1987_q1

1987-Q1

n_1987_q2

1987-Q2

n_1987_q3

1987-Q3

n_1987_q4

1987-Q4

n_1988_q1

1988-Q1

n_1988_q2

1988-Q2

n_1988_q3

1988-Q3

n_1988_q4

1988-Q4

n_1989_q1

1989-Q1

n_1989_q2

1989-Q2

n_1989_q3

1989-Q3

n_1989_q4

1989-Q4

n_1990_q1

1990-Q1

n_1990_q2

1990-Q2

n_1990_q3

1990-Q3

n_1990_q4

1990-Q4

n_1991_q1

1991-Q1

n_1991_q2

1991-Q2

n_1991_q3

1991-Q3

n_1991_q4

1991-Q4

n_1992_q1

1992-Q1

n_1992_q2

1992-Q2

n_1992_q3

1992-Q3

n_1992_q4

1992-Q4

n_1993_q1

1993-Q1

n_1993_q2

1993-Q2

n_1993_q3

1993-Q3

n_1993_q4

1993-Q4

n_1994_q1

1994-Q1

n_1994_q2

1994-Q2

n_1994_q3

1994-Q3

n_1994_q4

1994-Q4

n_1995_q1

1995-Q1

n_1995_q2

1995-Q2

n_1995_q3

1995-Q3

n_1995_q4

1995-Q4

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

QuarterlyIndex, 2015=100 (based on hours worked)Agriculture, forestry and fishingCalendar adjusted data, not seasonally adjusted dataTotal employment domestic conceptFinland174.8217.4235.5184.1167.9207.7219.4183.2163.3211.5211.7170.3157.6199.6205.9168.7146.9190.3197.6156.2141.9188.3196.4148.5137.4173.8190.7152.2129.6177.2182.8148.1123.1161.7175.4138.4125.1161157133.2116.4151162.5128.4116.4152.6155.8124.9112.4151.6152.4124.9107153
QuarterlyIndex, 2015=100 (based on hours worked)Agriculture, forestry and fishingCalendar adjusted data, not seasonally adjusted dataTotal employment domestic conceptItaly111.2136.7145.1135.8113.9130.5144.5129.2111135.2141133113.3133.5135.8123.8108.3126129.9121.9103116.2122.3112.2106.5121121.6118.4102.7118.5121.5114.4102115.8
QuarterlyIndex, 2015=100 (based on hours worked)Agriculture, forestry and fishingCalendar adjusted data, not seasonally adjusted dataTotal employment domestic conceptLuxembourg156.1162177.7178.7158.5162.4161.5159.2154.2157.5158.2157.5152.2153.2153.1152.2147.2151.5153.1152.4142.7145.3144.3143.5133.9137.2135.3135.4127.6132.4133133.1123.3130.7
QuarterlyIndex, 2015=100 (based on hours worked)Agriculture, forestry and fishingCalendar adjusted data, not seasonally adjusted dataTotal employment domestic conceptLatvia187.6190.6181.5170.9188.6191.7182.5171.9197200.2190.6179.5196.3199.5189.9178.8192.7195.9186.5175.6191.1189178.7166.9186.2207.6200.4190160.1214.7222.3181.6155.1188
QuarterlyIndex, 2015=100 (based on hours worked)Agriculture, forestry and fishingCalendar adjusted data, not seasonally adjusted dataTotal employment domestic conceptSweden113.4136119.7136.4112.7138.4119.7134.4119.6138.8116.5133.3115.8126.9113.8127.9111.9122.2106.9119.7104.2116.6100.6119.1105.7118.3103.1117.3104.5117.7100.3116.297111.3101.6117.7102.6112.995.4111.797.3105
QuarterlyIndex, 2015=100 (based on hours worked)Agriculture, forestry and fishingCalendar adjusted data, not seasonally adjusted dataEmployees domestic conceptFinland74.592.392.968.563.980.481.764.659.379.179.165.263.379.172.573.859.373.881.775.867.985.794.275.872.586.384.385.767.294.290.983.777.895.696.28779.1107.4107.486.380.411211493.683.7104.111099.581.7102.1122.6100.882.4121.3
QuarterlyIndex, 2015=100 (based on hours worked)Agriculture, forestry and fishingCalendar adjusted data, not seasonally adjusted dataEmployees domestic conceptItaly98.8117.1112.7117.197.8106.7109.3110.295.3105.6107.1111.696.1108.4103.4106.793.2105.1102.510791.8100.5100.1103.196.5104.2102.2109.890.8102.49999.483.590.6
QuarterlyIndex, 2015=100 (based on hours worked)Agriculture, forestry and fishingCalendar adjusted data, not seasonally adjusted dataEmployees domestic conceptLuxembourg76.192.2135.5138.899.7112109.7104.498.7110110.2108.1102.8107.2107.5105.396.5109.7113.1111.2106.1114.4111.2109.8106116.8112.5112.795.1109.4111.4112.190.8110.2
QuarterlyIndex, 2015=100 (based on hours worked)Agriculture, forestry and fishingCalendar adjusted data, not seasonally adjusted dataEmployees domestic conceptLatvia130134129.6124.3130.7134.8130.3125136.6140.8136.1130.6136140.3135.6130.1133.6137.7133.2127.7132.5132.9127.6121.4143.9167.5166.7162.1136208.6194.4191.4173.8175.9
QuarterlyIndex, 2015=100 (based on hours worked)Agriculture, forestry and fishingCalendar adjusted data, not seasonally adjusted dataEmployees domestic conceptSweden61.484.459.897.262.589.665.586.265.589.265.689.465.886.567.891.959.887.863.88758.786.867.48459.885.668.384.262.19169.186.759.788.469.787.963.790.468.187.163.286.3

CREATE TABLE raw (
  "freq" VARCHAR,
  "unit" VARCHAR,
  "nace_r2" VARCHAR,
  "s_adj" VARCHAR,
  "na_item" VARCHAR,
  "geo" VARCHAR,
  "n_1980_q1" DOUBLE,
  "n_1980_q2" DOUBLE,
  "n_1980_q3" DOUBLE,
  "n_1980_q4" DOUBLE,
  "n_1981_q1" DOUBLE,
  "n_1981_q2" DOUBLE,
  "n_1981_q3" DOUBLE,
  "n_1981_q4" DOUBLE,
  "n_1982_q1" DOUBLE,
  "n_1982_q2" DOUBLE,
  "n_1982_q3" DOUBLE,
  "n_1982_q4" DOUBLE,
  "n_1983_q1" DOUBLE,
  "n_1983_q2" DOUBLE,
  "n_1983_q3" DOUBLE,
  "n_1983_q4" DOUBLE,
  "n_1984_q1" DOUBLE,
  "n_1984_q2" DOUBLE,
  "n_1984_q3" DOUBLE,
  "n_1984_q4" DOUBLE,
  "n_1985_q1" DOUBLE,
  "n_1985_q2" DOUBLE,
  "n_1985_q3" DOUBLE,
  "n_1985_q4" DOUBLE,
  "n_1986_q1" DOUBLE,
  "n_1986_q2" DOUBLE,
  "n_1986_q3" DOUBLE,
  "n_1986_q4" DOUBLE,
  "n_1987_q1" DOUBLE,
  "n_1987_q2" DOUBLE,
  "n_1987_q3" DOUBLE,
  "n_1987_q4" DOUBLE,
  "n_1988_q1" DOUBLE,
  "n_1988_q2" DOUBLE,
  "n_1988_q3" DOUBLE,
  "n_1988_q4" DOUBLE,
  "n_1989_q1" DOUBLE,
  "n_1989_q2" DOUBLE,
  "n_1989_q3" DOUBLE,
  "n_1989_q4" DOUBLE,
  "n_1990_q1" DOUBLE,
  "n_1990_q2" DOUBLE,
  "n_1990_q3" DOUBLE,
  "n_1990_q4" DOUBLE,
  "n_1991_q1" DOUBLE,
  "n_1991_q2" DOUBLE,
  "n_1991_q3" DOUBLE,
  "n_1991_q4" DOUBLE,
  "n_1992_q1" DOUBLE,
  "n_1992_q2" DOUBLE,
  "n_1992_q3" DOUBLE,
  "n_1992_q4" DOUBLE,
  "n_1993_q1" DOUBLE,
  "n_1993_q2" DOUBLE,
  "n_1993_q3" DOUBLE,
  "n_1993_q4" DOUBLE,
  "n_1994_q1" DOUBLE,
  "n_1994_q2" DOUBLE,
  "n_1994_q3" DOUBLE,
  "n_1994_q4" DOUBLE,
  "n_1995_q1" DOUBLE,
  "n_1995_q2" DOUBLE,
  "n_1995_q3" DOUBLE,
  "n_1995_q4" DOUBLE,
  "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
);

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