[172_926] Supplementary indicators to unemployment

Name: Supplementary indicators to unemployment
Creator: DBnomics

Updated on DBnomics on January 11, 2023 (1:18 PM).

[FREQ] Frequency

[A] annual
[Q] quarterly

[IMPIEGO_ATECO2002] Economic sector of use Ateco 2002

[0009] agriculture, fishing (a and b)
[0010] total
[0011] total industry (c to f)
[0012] total services (g to q)
[0014] trade, hotels and restaurants (g and h)
[0015] other services activity (i to q)
[0020] total industry excluding construction (c to e)
[F] construction
[Z] not applicable

[IMPIEGO_ATECO2007] Economic sector of use Ateco 2007

[0010] TOTAL
[0011] TOTAL INDUSTRY (b to f)
[0012] TOTAL SERVICES (g to u)
[0020] TOTAL INDUSTRY EXCLUDING CONSTRUCTION (b to e)
[0025] other services activity (j to u)
[0026] trade, hotels and restaurants (g and i)
[A] agriculture, forestry and fishing
[F] construction
[NAP] not applicable

[CITTADINANZA] Citizenship

[FRG] foreign
[ITL] italian
[TOTAL] total

[CONDIZIONE_DICH] Main status

[1] employed person
[2] unemployed person with work experience
[3] unemployed person without work experience
[4] housewife
[5] student
[6] retired
[7] other condition
[99] total

[CLASSE_ETA] Age class

[Y15-24] 15-24 years
[Y15-29] 15-29 years
[Y15-34] 15-34 years
[Y15-64] 15-64 years
[Y15-74] 15-74 years
[Y18-29] 18-29 years
[Y20-24] 20-24 years
[Y25-34] 25-34 years
[Y35-44] 35-44 years
[Y35-54] 35-54 years
[Y45-54] 45-54 years
[Y55-74] 55-74 years
[Y_GE15] 15 years and over

[ITTER107] Territory

[IT] Italy
[IT108] Monza e della Brianza
[IT109] Fermo
[IT110] Barletta-Andria-Trani
[IT111] Sud Sardegna
[ITC] Nord-ovest
[ITC1] Piemonte
[ITC11] Torino
[ITC12] Vercelli
[ITC13] Biella
[ITC14] Verbano-Cusio-Ossola
[ITC15] Novara
[ITC16] Cuneo
[ITC17] Asti
[ITC18] Alessandria
[ITC2] Valle d'Aosta / Vallée d'Aoste
[ITC20] Valle d'Aosta / Vallée d'Aoste
[ITC3] Liguria
[ITC31] Imperia
[ITC32] Savona
[ITC33] Genova
[ITC34] La Spezia
[ITC4] Lombardia
[ITC41] Varese
[ITC42] Como
[ITC43] Lecco
[ITC44] Sondrio
[ITC45] Milano
[ITC46] Bergamo
[ITC47] Brescia
[ITC48] Pavia
[ITC49] Lodi
[ITC4A] Cremona
[ITC4B] Mantova
[ITCD] Nord
[ITD] Nord-est
[ITD1] Provincia Autonoma Bolzano / Bozen
[ITD2] Provincia Autonoma Trento
[ITD3] Veneto
[ITD31] Verona
[ITD32] Vicenza
[ITD33] Belluno
[ITD34] Treviso
[ITD35] Venezia
[ITD36] Padova
[ITD37] Rovigo
[ITD4] Friuli-Venezia Giulia
[ITD41] Pordenone
[ITD42] Udine
[ITD43] Gorizia
[ITD44] Trieste
[ITD5] Emilia-Romagna
[ITD51] Piacenza
[ITD52] Parma
[ITD53] Reggio nell'Emilia
[ITD54] Modena
[ITD55] Bologna
[ITD56] Ferrara
[ITD57] Ravenna
[ITD58] Forlì-Cesena
[ITD59] Rimini
[ITDA] Trentino Alto Adige / Südtirol
[ITE] Centro (I)
[ITE1] Toscana
[ITE11] Massa-Carrara
[ITE12] Lucca
[ITE13] Pistoia
[ITE14] Firenze
[ITE15] Prato
[ITE16] Livorno
[ITE17] Pisa
[ITE18] Arezzo
[ITE19] Siena
[ITE1A] Grosseto
[ITE2] Umbria
[ITE21] Perugia
[ITE22] Terni
[ITE3] Marche
[ITE31] Pesaro e Urbino
[ITE32] Ancona
[ITE33] Macerata
[ITE34] Ascoli Piceno
[ITE4] Lazio
[ITE41] Viterbo
[ITE42] Rieti
[ITE43] Roma
[ITE44] Latina
[ITE45] Frosinone
[ITF1] Abruzzo
[ITF11] L'Aquila
[ITF12] Teramo
[ITF13] Pescara
[ITF14] Chieti
[ITF2] Molise
[ITF21] Isernia
[ITF22] Campobasso
[ITF3] Campania
[ITF31] Caserta
[ITF32] Benevento
[ITF33] Napoli
[ITF34] Avellino
[ITF35] Salerno
[ITF4] Puglia
[ITF41] Foggia
[ITF42] Bari
[ITF43] Taranto
[ITF44] Brindisi
[ITF45] Lecce
[ITF5] Basilicata
[ITF51] Potenza
[ITF52] Matera
[ITF6] Calabria
[ITF61] Cosenza
[ITF62] Crotone
[ITF63] Catanzaro
[ITF64] Vibo Valentia
[ITF65] Reggio di Calabria
[ITFG] Mezzogiorno
[ITG1] Sicilia
[ITG11] Trapani
[ITG12] Palermo
[ITG13] Messina
[ITG14] Agrigento
[ITG15] Caltanissetta
[ITG16] Enna
[ITG17] Catania
[ITG18] Ragusa
[ITG19] Siracusa
[ITG2] Sardegna
[ITG25] Sassari
[ITG26] Nuoro
[ITG27] Cagliari
[ITG28] Oristano
[ITG29] Olbia-Tempio
[ITG2A] Ogliastra
[ITG2B] Medio Campidano
[ITG2C] Carbonia-Iglesias

[MOTIVO_NO_RICLAV] Main reason for not seeking employment

[ALL] all items
[AVAIL] think no work is available
[FAM_RESP] family or personal responsabilities
[NOAPP] not applicable
[OTH_REAS] other reason
[RET] retired, not interested in working
[SEEK] waiting for previous seeking work
[TRAIN] in education or training

[POSIZPROF] Professional status

[1] employees
[2] self-employed
[9] total
[NAP] not applicable

[SESSO] Gender

[1] males
[2] females
[9] total

[TIPO_DATO] Data type

[ADD] potential additional labour force 15-74 years (thousands)
[ADD_P] potential additional labour force 15-74 years (as a percentage of the total labour force 15-74 years)
[AVAIL] persons available to work but not seeking 15-74 years (thousands)
[AVAIL_P] persons available to work but not seeking 15-74 years (as a percentage of the total labour force 15-74 years)
[INV] involuntary part time 15 years and more (thousands)
[INV_P] involuntary part-time employment 15 years and more (as percentage of the total part-time employment 15 years and more)
[NO_AVAIL] persons seeking work but not immediately available 15-74 anni (thousands)
[NO_AVAIL_P] persons seeking work but not immediately available (as a percentage of the total labour force)
[NO_PART] underemployed part-time workers 15 years and more (as a percentage of the total employed persons 15 years and more)
[NO_PART_R] non-partecipation rate 15-74 years
[UND] underemployed part-time workers 15 years and more (thousands)
[UND_P] underemployed part-time workers 15 years and more (as a percentage of the total labour force 15 years and more)

[TITOLO_STUDIO] Highest level of education attained

[11] tertiary (university, doctoral and specialization courses)
[13] no educational degree, primary and lower secondary school certificate
[7] upper and post secondary
[99] total

Search filters

Frequency [FREQ] (2)

Economic sector of use Ateco 2002 [IMPIEGO_ATECO2002] (9)

Economic sector of use Ateco 2007 [IMPIEGO_ATECO2007] (9)

Citizenship [CITTADINANZA] (3)

Main status [CONDIZIONE_DICH] (8)

Age class [CLASSE_ETA] (13)

Territory [ITTER107] (137)

Main reason for not seeking employment [MOTIVO_NO_RICLAV] (8)

Professional status [POSIZPROF] (4)

Gender [SESSO] (3)

Data type [TIPO_DATO] (12)

Highest level of education attained [TITOLO_STUDIO] (4)

This dataset has 19,360 series:

Trim NA Values

Series code	2004	2005	2006	2007	2008	2009	2010
[A.0009.0010.TOTAL.99.Y15-74.IT.NOAPP.1.9.NO_PART.99]	1.971883	1.323409	1.26257	1.320159	1.849922	1.170618	1.909134
[A.0009.0010.TOTAL.99.Y15-74.IT.NOAPP.1.9.UND.99]	8.19	5.702	5.945	5.712	7.741	4.777	7.947
[A.0009.0010.TOTAL.99.Y15-74.IT.NOAPP.2.1.INV.99]	4.161	3.47	3.884	3.422	4.767	4.388	4.891
[A.0009.0010.TOTAL.99.Y15-74.IT.NOAPP.2.1.INV_P.99]	16.561194	17.130727	16.862762	17.721388	23.81	25.062828	30.141123
[A.0009.0010.TOTAL.99.Y15-74.IT.NOAPP.2.1.NO_PART.99]	0.772704	0.667893	0.719418	0.378154	0.723468	0.475723	0.303279
[A.0009.0010.TOTAL.99.Y15-74.IT.NOAPP.2.1.UND.99]	2.95	2.374	2.514	1.239	2.304	1.513	0.982
[A.0009.0010.TOTAL.99.Y15-74.IT.NOAPP.2.2.INV.99]	3.945	4.639	3.477	4.612	3.837	5.307	3.521
[A.0009.0010.TOTAL.99.Y15-74.IT.NOAPP.2.2.INV_P.99]	9.288035	12.911216	9.670421	12.413867	13.002372	18.233354	13.317951
[A.0009.0010.TOTAL.99.Y15-74.IT.NOAPP.2.2.NO_PART.99]	1.502053	1.292002	0.522395	0.726756	0.986349	0.896449	0.902111
[A.0009.0010.TOTAL.99.Y15-74.IT.NOAPP.2.2.UND.99]	2.495	1.866	0.737	1.017	1.336	1.123	1.108

Showing results 11 - 20 / 19,360