[732_1054_DF_DCCN_OCCQSEC2010_B14_1] Employment breakdown by industry - editions from October 2014 to August 2019

Name: Employment breakdown by industry - editions from October 2014 to August 2019
Creator: DBnomics

Updated on DBnomics on January 14, 2023 (12:39 AM).

[FREQ] Frequency

[Q] quarterly

[REF_AREA] Territory

[IT] Italy

[DATA_TYPE_AGGR] Aggregate

[FT] full time equivalent (thousands)
[HW] hours worked (thousands)
[JB] jobs (thousands)
[PS] employment in persons (thousands)

[BRKDW_INDUSTRY_NACE_REV2] Breakdown by industry (NACE Rev.2)

[A] agriculture, forestry and fishing
[B] mining and quarrying
[BTE] mining and quarrying, manufacturing, electricity, gas, steam and air conditioning supply, water supply, sewerage, waste management and remediation activities
[BTF] mining and quarrying, manufacturing, electricity, gas, steam and air conditioning supply, water supply, sewerage, waste management and remediation activities, construction
[C] manufacturing
[C10T12] manufacture of food products, beverages and tobacco products
[C13T18] manufacture of textiles, wearing apparel and leather products, manufacture of wood and paper products, and printing
[C19T21] manufacture of coke and refined petroleum products, manufacture of chemicals and chemical products, manufacture of basic pharmaceutical products and pharmaceutical preparations
[C22T25] manufacture of rubber and plastic products, other non-metallic mineral products, manufacture of basic metals and fabricated metal products, except machinery and equipment
[C26T28] manufacture of computer, electronic and optical products, manufacture of electrical equipment, manufacture of machinery and equipment n.e.c
[C29_30] manufacture of transport equipment
[C31T33] manufacture of furniture, other manufacturing, repair and installation of machinery and equipment
[D_E] electricity, gas, steam and air conditioning supply, water supply, sewerage, waste management and remediation activities
[F] construction
[GTI] wholesale and retail trade, repair of motor vehicles and motorcycles, transportation and storage, accommodation and food service activities
[GTU] services
[J] information and communication
[K] financial and insurance activities
[L] real estate activities
[M_N] professional, scientific and technical activities, administrative and support service activities
[NMKT] non market economic activities
[OTQ] public administration and defence, compulsory social security, education, human health and social work activities
[RTU] arts, entertainment and recreation, repair of household goods and other services
[_T] total economic activities

[EMPLOYMENT_STATUS] Employment status

[1] employees
[2] self-employed
[9] total

[ADJUSTMENT] Adjustment

[N] raw data
[W] calendar adjusted data
[Y] seasonally adjusted data

[EDITION] Edition

[2014M10] Oct-2014
[2014M12] Dec-2014
[2015M10] Oct-2015
[2015M12] Dec-2015
[2015M3] Mar-2015
[2015M5] May-2015
[2015M9] Sep-2015
[2016M10] Oct-2016
[2016M12] Dec-2016
[2016M3] Mar-2016
[2016M5] May-2016
[2016M9] Sep-2016
[2017M10] Oct-2017
[2017M12] Dec-2017
[2017M3] Mar-2017
[2017M6] Jun-2017
[2017M9] Sep-2017
[2018M10] Oct-2018
[2018M11] Nov-2018
[2018M3] Mar-2018
[2018M6] Jun-2018
[2018M8] Aug-2018
[2019M3] Mar-2019
[2019M4] Apr-2019
[2019M5] May-2019
[2019M8] Aug-2019

Search filters

Frequency [FREQ] (1)

Territory [REF_AREA] (1)

Aggregate [DATA_TYPE_AGGR] (4)

Breakdown by industry (NACE Rev.2) [BRKDW_INDUSTRY_NACE_REV2] (24)

Employment status [EMPLOYMENT_STATUS] (3)

Adjustment [ADJUSTMENT] (3)

Edition [EDITION] (26)

This dataset has 15,576 series:

Trim NA Values

Series code	1995-Q1	1995-Q2	1995-Q3	1995-Q4	1996-Q1	1996-Q2	1996-Q3	1996-Q4	1997-Q1	1997-Q2	1997-Q3	1997-Q4	1998-Q1	1998-Q2	1998-Q3	1998-Q4	1999-Q1	1999-Q2	1999-Q3	1999-Q4	2000-Q1	2000-Q2	2000-Q3	2000-Q4	2001-Q1	2001-Q2	2001-Q3	2001-Q4	2002-Q1	2002-Q2	2002-Q3	2002-Q4	2003-Q1	2003-Q2	2003-Q3	2003-Q4	2004-Q1	2004-Q2	2004-Q3	2004-Q4	2005-Q1	2005-Q2	2005-Q3	2005-Q4	2006-Q1	2006-Q2	2006-Q3	2006-Q4	2007-Q1	2007-Q2	2007-Q3	2007-Q4	2008-Q1	2008-Q2	2008-Q3	2008-Q4	2009-Q1	2009-Q2	2009-Q3	2009-Q4	2010-Q1	2010-Q2	2010-Q3	2010-Q4	2011-Q1	2011-Q2	2011-Q3	2011-Q4	2012-Q1	2012-Q2	2012-Q3	2012-Q4	2013-Q1	2013-Q2	2013-Q3	2013-Q4	2014-Q1	2014-Q2	2014-Q3	2014-Q4	2015-Q1	2015-Q2	2015-Q3	2015-Q4	2016-Q1	2016-Q2	2016-Q3	2016-Q4	2017-Q1	2017-Q2	2017-Q3	2017-Q4	2018-Q1	2018-Q2	2018-Q3	2018-Q4	2019-Q1	2019-Q2
[Q.IT.FT.A.1.N.2018M6]	442	467.5	488.8	497.8	417.7	426.7	454	466.9	403.6	400.9	435.8	457.3	407.7	401.6	416.1	427.9	375.9	385	401.5	425	380.6	379.8	401.6	424.2	387.3	396	419.8	438.6	385.5	396.8	420.1	416.6	343.3	342.1	362.7	380.6	339.1	360.3	404.2	399.6	356	390.6	429	427.7	382.6	405.6	436.8	436.1	380.7	399.5	422.2	431.7	380.3	378.3	417.2	425.8	358.9	365.1	410.8	423.7	345.4	387.6	422.5	429.6	359.1	390.2	425.6	425.7	358	400.7	416.1	417	361.6	378.4	417.6	401.2	355.1	393.3	424.1	412.9	357.7	396.5	425.1	428.7	375.9	417.4	443	457.4	400.7	429.3	438.4	450.3	409	NA	NA	NA	NA	NA
[Q.IT.FT.A.1.N.2018M8]	442	467.5	488.8	497.8	417.7	426.7	454	466.9	403.6	400.9	435.8	457.3	407.7	401.6	416.1	427.9	375.9	385	401.5	425	380.6	379.8	401.6	424.2	387.3	396	419.8	438.6	385.5	396.8	420.1	416.6	343.3	342.1	362.7	380.6	339.1	360.3	404.2	399.6	356	390.6	429	427.7	382.6	405.6	436.8	436.1	380.7	399.5	422.2	431.7	380.3	378.3	417.2	425.8	358.9	365.1	410.8	423.7	345.4	387.6	422.5	429.6	359.1	390.2	425.6	425.7	358	400.7	416.1	417	361.6	378.4	417.6	401.2	355.1	393.3	424.1	412.9	357.7	396.5	425.1	428.7	375.9	417.4	443	457.4	400.7	429.3	438.4	450.3	409	446.8	NA	NA	NA	NA
[Q.IT.FT.A.1.N.2019M3]	440.8	467.1	489.3	498.9	416.3	426	454.7	468.3	402.7	399.9	436.2	458.7	407.3	401.1	416.2	428.7	375	384.6	401.7	426.1	380.2	379.3	401.8	425.1	386.6	395.5	420.1	439.4	384.3	396.3	420.7	417.7	342.4	341.6	363.2	381.7	338.2	359.8	405.1	400	354.6	390.3	430	428.4	381.5	405.2	437.6	436.8	379.6	399.1	422.8	432.7	379.4	377.4	417.8	426.9	357.7	364.2	411.6	424.9	343.7	387.3	423.4	430.7	357.5	389.8	426.6	426.7	356.4	400.7	416.8	417.8	360.4	377.9	418.7	401.8	356.3	393.3	423.2	412.5	360.5	397	423.7	426.7	376.5	415	438.7	451.6	397.5	424	432.3	443.5	404.6	439.3	445.1	451.9	NA	NA
[Q.IT.FT.A.1.N.2019M4]	440.8	467.1	489.3	498.9	416.3	426	454.7	468.3	402.7	399.9	436.2	458.7	407.3	401.1	416.2	428.7	375	384.6	401.7	426.1	380.2	379.3	401.8	425.1	386.6	395.5	420.1	439.4	384.3	396.3	420.7	417.7	342.4	341.6	363.2	381.7	338.2	359.8	405.1	400	354.6	390.3	430	428.4	381.5	405.2	437.6	436.8	379.6	399.1	422.8	432.7	379.4	377.4	417.8	426.9	357.7	364.2	411.6	424.9	343.7	387.3	423.4	430.7	357.5	389.8	426.6	426.7	356.4	400.7	416.8	417.8	360.4	377.9	418.7	401.8	356.3	393.3	423.2	412.5	360.5	397	423.7	426.7	376.5	415	438.7	451.6	397.5	424	432.3	443.5	404.6	439.3	445.1	451.9	NA	NA
[Q.IT.FT.A.1.N.2019M5]	440.8	467.1	489.3	498.9	416.3	426	454.7	468.3	402.7	399.9	436.2	458.7	407.3	401.1	416.2	428.7	375	384.6	401.7	426.1	380.2	379.3	401.8	425.1	386.6	395.5	420.1	439.4	384.3	396.3	420.7	417.7	342.4	341.6	363.2	381.7	338.2	359.8	405.1	400	354.6	390.3	430	428.4	381.5	405.2	437.6	436.8	379.6	399.1	422.8	432.7	379.4	377.4	417.8	426.9	357.7	364.2	411.6	424.9	343.7	387.3	423.4	430.7	357.5	389.8	426.6	426.7	356.4	400.7	416.8	417.8	360.4	377.9	418.7	401.8	356.3	393.3	423.2	412.5	360.5	397	423.7	426.7	376.5	415	438.7	451.6	397.5	424	432.3	443.5	404.6	439.3	445.1	451.9	405	NA
[Q.IT.FT.A.1.N.2019M8]	440.8	467.1	489.3	498.9	416.3	426	454.7	468.3	402.7	399.9	436.2	458.7	407.3	401.1	416.2	428.7	375	384.6	401.7	426.1	380.2	379.3	401.8	425.1	386.6	395.5	420.1	439.4	384.3	396.3	420.7	417.7	342.4	341.6	363.2	381.7	338.2	359.8	405.1	400	354.6	390.3	430	428.4	381.5	405.2	437.6	436.8	379.6	399.1	422.8	432.7	379.4	377.4	417.8	426.9	357.7	364.2	411.6	424.9	343.7	387.3	423.4	430.7	357.5	389.8	426.6	426.7	356.4	400.7	416.8	417.8	360.4	377.9	418.7	401.8	356.3	393.3	423.2	412.5	360.5	397	423.7	426.7	376.5	415	438.7	451.6	397.5	424	432.3	443.5	404.6	439.3	445.1	451.9	405	438.8
[Q.IT.FT.A.1.Y.2014M10]	474	483	474	465	446	443	441	435	429	417	425	427	431	418	406	398	394	400	394	399	402	394	393	398	410	410	409	412	408	410	409	393	367	353	349	360	367	370	390	375	384	404	404	411	414	420	412	415	417	416	402	400	410	394	398	399	388	380	392	398	372	405	403	406	393	401	404	403	393	404	383	388	393	377	389	377	389	401	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA
[Q.IT.FT.A.1.Y.2014M12]	474	483	474	465	446	443	441	435	429	417	425	427	431	418	406	398	394	400	394	399	402	394	393	398	410	410	409	412	408	410	409	393	367	353	349	360	367	370	390	375	384	404	404	411	414	420	412	415	417	416	402	400	410	394	398	399	388	380	392	398	372.204	404.454	402.67	405.792	393.245	400.469	403.912	403.006	392.368	403.377	383.156	387.902	393.03	376.148	390.314	377.117	388.323	399.829	394.633	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA
[Q.IT.FT.A.1.Y.2015M10]	473.458	483.313	474.362	465.031	446.069	443.281	441.116	434.858	429.04	417.097	425.161	426.222	430.567	417.214	406.389	399.133	394.965	400.005	394	398.41	401.748	393.709	393.07	397.829	410.117	410.441	408.847	412.211	408.707	410.305	407.247	392.729	367.704	354.001	347.743	359.348	367.974	372.442	385.033	377.76	383.965	402.921	409.379	407.05	416.176	419.097	414.769	411.029	412.109	414.467	402.302	405.275	410.343	393.817	398.425	398.887	389.238	380.794	391.571	396.881	375.794	403.184	402.091	404.051	394.42	400.19	403.678	402.345	394.347	408.622	391.909	396.797	399.321	383.839	394.184	385.131	392.714	398.813	399.339	402.103	406.573	411.679	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA
[Q.IT.FT.A.1.Y.2015M12]	473.458	483.313	474.362	465.031	446.069	443.281	441.116	434.858	429.04	417.097	425.161	426.222	430.567	417.214	406.389	399.133	394.965	400.005	394	398.41	401.748	393.709	393.07	397.829	410.117	410.441	408.847	412.211	408.707	410.305	407.247	392.729	367.704	354.001	347.743	359.348	367.974	372.442	385.033	377.76	383.965	402.921	409.379	407.05	416.176	419.097	414.769	411.029	412.109	414.467	402.302	405.275	410.343	393.817	398.425	398.887	389.238	380.794	391.571	396.881	375.794	403.184	402.091	404.051	394.418	400.186	403.682	402.345	394.344	408.614	391.921	396.798	399.312	383.821	394.211	385.132	392.692	398.766	399.402	402.108	406.528	411.592	410.102	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA

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