Neet (Young people neither in employment nor in education and training) [172_931]

Updated by DBnomics on
June 14, 2019
Frequency [FREQ]
Citizenship [CITTADINANZA]
Labour status [CONDIZIONE_PROF]
European labour status [CONDIZIONE_PROF_EU]
Age class [CLASSE_ETA]
Territory [ITTER107]
Role in household [RUOLO_FAM]
Gender [SESSO]
Data type [TIPO_DATO]
Highest level of education attained [TITOLO_STUDIO]

Dataset has 3,796 series. Add search filters to narrow them.

Dimensions codes and labels
[FREQ] Frequency
  • [A] annual
  • [Q] quarterly
[CITTADINANZA] Citizenship
  • [FRG] foreign
  • [ITL] italian
  • [TOTAL] total
[CONDIZIONE_PROF] Labour status
  • [3_4] inactive persons
  • [3A_3B_3C] inactivity grey zone
  • [3D] not seeking employment but available to work
  • [99] total
  • [2] unemployed persons
[CONDIZIONE_PROF_EU] European labour status
  • [LFP] additional potential labour force
  • [NOT] not seeking employment and not available to work (15-74 years)
  • [TOT] total
  • [TOTIN] total inactive persons
  • [UNEM] unemployed persons
[CLASSE_ETA] Age class
  • [Y15-19] 15-19 years
  • [Y15-24] 15-24 years
  • [Y15-29] 15-29 years
  • [Y15-34] 15-34 years
  • [Y18-29] 18-29 years
  • [Y20-24] 20-24 years
  • [Y25-29] 25-29 years
  • [Y25-34] 25-34 years
  • [Y30-34] 30-34 years
[ITTER107] Territory
  • [ITF1] Abruzzo
  • [ITF5] Basilicata
  • [ITF6] Calabria
  • [ITF3] Campania
  • [ITE] Centro (I)
  • [ITD5] Emilia-Romagna
  • [ITD4] Friuli-Venezia Giulia
  • [IT] Italy
  • [ITE4] Lazio
  • [ITC3] Liguria
  • [ITC4] Lombardia
  • [ITE3] Marche
  • [ITFG] Mezzogiorno
  • [ITF2] Molise
  • [ITCD] Nord
  • [ITD] Nord-est
  • [ITC] Nord-ovest
  • [ITC1] Piemonte
  • [ITD1] Provincia Autonoma Bolzano / Bozen
  • [ITD2] Provincia Autonoma Trento
  • [ITF4] Puglia
  • [ITG2] Sardegna
  • [ITG1] Sicilia
  • [ITE1] Toscana
  • [ITDA] Trentino Alto Adige / Südtirol
  • [ITE2] Umbria
  • [ITC2] Valle d'Aosta / Vallée d'Aoste
  • [ITD3] Veneto
[RUOLO_FAM] Role in household
  • [OTH] other
  • [PA] parent
  • [PWOC] partner without children
  • [S] single
  • [SPO] single, partner without children, other rule
  • [SD] son/daughter
  • [TOT] total
[SESSO] Gender
  • [2] females
  • [1] males
  • [9] total
[TIPO_DATO] Data type
  • [NEET_I] incidence of Neet aged 15-34 (young people not in employment, neither in education or training)
  • [NEET] neet aged 15-34 (young people not in employment neither in education or training)
[TITOLO_STUDIO] Highest level of education attained
  • [13] no educational degree, primary and lower secondary school certificate
  • [11] tertiary (university, doctoral and specialization courses)
  • [99] total
  • [7] upper and post secondary
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