[172_931] Young people not in employment, education or training
Updated on DBnomics on March 14, 2024 (7:32 AM).
[FREQ] Frequency
- [A] annual
- [Q] quarterly
[REF_AREA] Territory
- [IT] Italy
- [ITC] Nord-ovest
- [ITC1] Piemonte
- [ITC2] Valle d'Aosta / Vallée d'Aoste
- [ITC3] Liguria
- [ITC4] Lombardia
- [ITCD] Nord
- [ITD] Nord-est
- [ITD1] Provincia Autonoma Bolzano / Bozen
- [ITD2] Provincia Autonoma Trento
- [ITD3] Veneto
- [ITD4] Friuli-Venezia Giulia
- [ITD5] Emilia-Romagna
- [ITDA] Trentino Alto Adige / Südtirol
- [ITE] Centro (I)
- [ITE1] Toscana
- [ITE2] Umbria
- [ITE3] Marche
- [ITE4] Lazio
- [ITF1] Abruzzo
- [ITF2] Molise
- [ITF3] Campania
- [ITF4] Puglia
- [ITF5] Basilicata
- [ITF6] Calabria
- [ITFG] Mezzogiorno
- [ITG1] Sicilia
- [ITG2] Sardegna
[DATA_TYPE] Indicator
- [NEET] neet aged 15-34 (young people not in employment neither in education or training)
- [NEET_I] incidence of Neet aged 15-34 (young people not in employment, neither in education or training)
[SEX] Sex
- [1] males
- [2] females
- [9] total
[AGE] Age
- [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
[LABPROF_STATUS_A] Labour status
- [99] total
[EURO_LABOUR_STATUS] 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
[EDU_LEV_HIGHEST] 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
[CITIZENSHIP] Citizenship
- [FRG] foreign
- [ITL] italian
- [TOTAL] total
[ROLE_IN_HOUSEHOLD] Role in household
- [PA] parent
- [SD] son/daughter
- [SPO] single, partner without children, other rule
- [TOT] total
Search filters
Frequency [FREQ] (2)
Territory [REF_AREA] (28)
Indicator [DATA_TYPE] (2)
Sex [SEX] (3)
Age [AGE] (9)
Labour status [LABPROF_STATUS_A] (1)
European labour status [EURO_LABOUR_STATUS] (5)
Highest level of education attained [EDU_LEV_HIGHEST] (4)
Citizenship [CITIZENSHIP] (3)
Role in household [ROLE_IN_HOUSEHOLD] (4)
This dataset has 2,941 series:
| Series code | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 |
|---|---|---|---|---|---|---|
| [A.IT.NEET.1.Y15-24.99.TOTIN.11.TOTAL.TOT] | 10.21 | 10.38 | 8.859 | 14.065 | 9.92 | 6.415 |
| [A.IT.NEET.1.Y15-24.99.TOTIN.13.TOTAL.TOT] | 162.482 | 156.422 | 168.961 | 174.488 | 146.156 | 91.302 |
| [A.IT.NEET.1.Y15-24.99.TOTIN.7.TOTAL.TOT] | 150.632 | 154.793 | 178.243 | 182.177 | 154.943 | 122.638 |
| [A.IT.NEET.1.Y15-24.99.TOTIN.99.FRG.TOT] | 28.928 | 26.644 | 35.363 | 31.311 | 27.68 | 16.899 |
| [A.IT.NEET.1.Y15-24.99.TOTIN.99.ITL.TOT] | 294.396 | 294.951 | 320.7 | 339.419 | 283.339 | 203.457 |
| [A.IT.NEET.1.Y15-24.99.TOTIN.99.TOTAL.PA] | NA | NA | NA | 2.753 | 1.183 | 0.666 |
| [A.IT.NEET.1.Y15-24.99.TOTIN.99.TOTAL.SD] | NA | NA | NA | 357.624 | 298.117 | 211.07 |
| [A.IT.NEET.1.Y15-24.99.TOTIN.99.TOTAL.SPO] | NA | NA | NA | 10.353 | 11.719 | 8.619 |
| [A.IT.NEET.1.Y15-24.99.TOTIN.99.TOTAL.TOT] | 323.325 | 321.595 | 356.063 | 370.73 | 311.019 | 220.356 |
| [A.IT.NEET.1.Y15-24.99.UNEM.11.TOTAL.TOT] | 3.841 | 4.397 | 6.799 | 5.674 | 5.016 | 5.264 |
Showing results 21 - 30 / 2,941