DATA_TYPE: Indicator

FREQ: Frequency

REF_AREA: Territory

fabbricazione di macchine per l'industria alimentare, delle bevande e del tabacco (compresi parti e accessori, installazione, manutenzione e riparazione)

fabbricazione di macchine per l'industria della carta e del cartone (compresi parti e accessori, installazione, manutenzione e riparazione)

fabbricazione di apparecchi riceventi per la radiodiffusione e la televisione, di apparecchi per la registrazione e la riproduzione del suono o dell'immagine e di prodotti connessi

fabbricazione di strumenti e apparecchi di misurazione, controllo, prova, navigazione e simili, escluse le apparecchiature di controllo dei processi industriali

attività degli organi legislativi ed esecutivi, centrali e locali, amministrazione finanziaria, amministrazioni regionali, provinciali e comunali

regolamentazione dell'attività degli organismi preposti alla gestione di progetti per l'edilizia abitativa e l'assetto del territorio e per la tutela dell'ambiente

Appiano sulla strada del vino/Eppan an der Weinstraße

Caldaro sulla strada del vino/Kaltern an der Weinstraße

Cortaccia sulla strada del vino/Kurtatsch an der Weinstraße

Cortina sulla strada del vino/Kurtinig an der Weinstraße

Magrè sulla strada del vino/Margreid an der Weinstraße

Salorno sulla strada del vino/Salurn an der Weinstraße

San Leonardo in Passiria/St. Leonhard in Passeier

San Martino in Badia/St. Martin in Thurn

San Martino in Passiria/St. Martin in Passeier

Santa Cristina Valgardena/St. Christina in Gröden

Selva di Val Gardena/Wolkenstein in Gröden

Termeno sulla strada del vino/Tramin an der Weinstraße

Trodena nel parco naturale/Truden im Naturpark

Senale-San Felice/Unsere Liebe Frau im Walde-St. Felix

ATO1: Verbano, Cusio, Ossola e Pianura Novarese

ATO53: Ambito territoriale integrato n.2 Umbria

ATO54: Ambito territoriale integrato n.4 Umbria

ATO55: Ambito territoriale integrato n.3 Umbria

ATO95: Ambito territoriale integrato n.1 Umbria

C_INH_OTH_UN5000: other municipalities until 50,000 inhab. (different from metropolitan area suburbs)

C_MET_AR_INH_GE50001: metropolitan area suburbs and municipalities with 50,001 inhab. and over

ITC2_C: Valle d'Aosta / Vallée d'Aoste (administrative center)

ITC2_NC: Valle d'Aosta / Vallée d'Aoste (not administrative center)

ITD4_C: Friuli-Venezia Giulia (administrative center)

ITD4_NC: Friuli-Venezia Giulia (not administrative center)

ITD5_NC: Emilia-Romagna (not administrative center)

ITDA_C: Trentino Alto Adige / Südtirol (administrative center)

ITDA_NC: Trentino Alto Adige / Südtirol (not administrative center)

ITNI13: Province non specificate e altri stati membri

SLL_112: San Leonardo in Passiria - St. Leonhard in Passeier

SLL_2011_410: San Leonardo In Passiria/St. Leonhard In Passeier

T01013: Unione Valsangone Servizio Socio Assistenziale Giaveno

T01019: Comunità Montana Valli Chisone e Germanasca

T01040: Unione Montana Valli Mongia e Cevetta–Langa Cebana

T01053: Comunità Montana Alta Langa e Langa Valli Belbo, Bormida e Uzzone

T03001: Distretto Alta Valle Seriana e Val di Sclave

T03026: Distretto 08 Bassa Bresciana Occidentale

T03043: Distretto di Casalpusterlengo - Lodi - Sant'angelo Lodigiano

T06032: UTI delle Valli e delle Dolomiti Friulane

T07010: Distretto 10 Genova Valpolcevera e Vallescrivia

T07011: Distretto 11 Genova Centro - 09 Medio Ponente

T07012: Distretto 12 Genova Valtrebbia e Valbisagno

T11016: ATS 16 - Comunità Montana dei Monti Azzurri

T12006: Distretto Latina - Aprilia-Cisterna di Latina

T13033: Ambito sociale 33 - Area Metropolitana Pescarese

T15001: Ambito A01 - Azienda Speciale Consortile

T42002: Comunità Territoriale della Valle di Fiemme

T42018: Magnifica Comunità degli Altipiani Cimbri

name: Persons available to work but not seeking - age

provider_name: Italian National Institute of Statistics


AGE: Age

CITIZENSHIP: Citizenship

EDU_LEV_HIGHEST: Highest level of education attained

EURO_LABOUR_STATUS: European labour status

LABPROF_STATUS_A: Labour status

ROLE_IN_HOUSEHOLD: Role in household

SEX: Sex

D0: 0 days

D0-6: 0-6 days

D1: 1 day

D2: 2 days

D3: 3 days

D4: 4 days

D5: 5 days

D6: 6 days

D7-13: 7-13 days

M0: 0 months

M1: 1 month

M10: 10 months

M11: 11 months

M2: 2 months

M3: 3 months

M4: 4 months

M5: 5 months

M6: 6 months

M7: 7 months

M8: 8 months

M9: 9 months

NAP: not applicable

NDIV: not divisible

NSP: no response

TOTAL: total

UNAV: unavailable

UNK: age unknown

Y0: 0 years

Y0-13: 0-13 years

Y0-14: 0-14 years

Y0-2: 0-2 years

Y0-5: 0-5 years

Y0-9: 0-9 years

Y1: 1 years

Y1-4: 1-4 years

Y1-9: 1-9 years

Y10: 10 years

Y10-13: 10-13 years

Y10-14: 10-14 years

Y10-19: 10-19 years

Y100: 100 years

Y101: 101 years

Y102: 102 years

Y103: 103 years

Y104: 104 years

Y105: 105 years

Y106: 106 years

Y107: 107 years

Y108: 108 years

Y109: 109 years

Y11: 11 years

Y11-13: 11-13 years

Y11-14: 11-14 years

Y11-15: 11-15 years

Y11-24: 11-24 years

Y110: 110 years

Y111: 111 years

Y112: 112 years

Y113: 113 years

Y114: 114 years

Y115: 115 years

Y116: 16 years

Y117: 117 years

Y118: 118 years

Y119: 119 years

Y12: 12 years

Y13: 13 years

Y14: 14 years

Y14-15: 14-15 years

Y14-17: 14-17 years

Y14-19: 14-19 years

Y14-24: 14-24 years

Y15: 15 years

Y15-16: 15-16 years

Y15-17: 15-17 years

Y15-19: 15-19 years

Y15-24: 15-24 years

Y15-29: 15-29 years

Y15-34: 15-34 years

Y15-39: 15-39 years

Y15-44: 15-44 years

Y15-49: 15-49 years

Y15-64: 15-64 years

Y15-74: 15-74 years

Y15-89: 15-89 years

Y16: 16 years

Y16-17: 16-17 years

Y16-19: 16-19 years

Y16-24: 16-24 years

Y16-34: 16-34 years

EU27: of European Union country with 27 Member States

EU27_NOITL: of European Union country (except Italy)

EXTEU27: of extra European Union country with 27 Member States

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)

ADD_Y25-64: potential additional labour force 25-64 years (thousands)

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)

BTH_NEMP_ALT1R: both not employed partners, at least one retired

BTH_NEMP_NR: both not employed partners, no-one retired

BTH_NEMP_NR_ALT1UPA: both not employed partners, no-one retired and at least one unemployed or potential additional labour force

BTH_NEMP_NR_NUPA: both not employed partners, no-one retired or unemployed or potential additional labour force

C_MEMP_WNSK_NAVNR: man employed, woman not seeking employment and not available to work (not retired)

C_MEMP_WNSK_NAVR: man employed, woman not seeking employment and not available to work (retired)

C_MEMP_WUN_PANR: man employed, woman unemployed or potential additional labour force (not retired)

C_MFT_WPT: man full-time employed, woman part-time employed

C_MPT_WFT: man part-time employed, woman full-time employed

C_WEMP_MNSK_NAVNR: woman employed, man not seeking employment and not available to work (not retired)

C_WEMP_MNSK_NAVR: woman employed, man not seeking employment and not available to work or 75 or over (retired)

C_WEMP_MUN_PANR: woman employed, man unemployed or potential additional labour force (not retired)

EAR: early leavers from education and training - aged 18 to 24 (thousands)

EART: early leavers from education and training - aged 18 to 24

EMP: employed persons 15 years and more (thousands)

EMP_Y25-64: employed persons 25-64 years  (thousands)

FOR: labour force 15 years and more (thousands)

HH_1FEMP: households with 1 female employed person

HH_1PEMPFT: households with 1 full-time permanent employee or self-employed person

HH_1PEMPPT: households with 1 part-time permanent employee or self-employed person

HH_1TEMPFT: households with 1 full-time temporary employee or freelancer

HH_1TEMPPT: households with 1 part-time temporary employee or freelancer

HH_2EMP: households with 2 or more employed persons

HH_2PEMP: households with 2 or more employed persons, all permanent  employees or self-employed persons

HH_2PTEMP: households with 2 or more employed persons, both permanent  employees or self-employed persons and temporary employees or freelancers

HH_2TEMP: households with 2 or more employed persons, all temporary employees or freelancers

HH_ATL_0LF: households without persons in the labour force (all inactive persons)

HH_ATL_1LF: households with at least one person in the labour force

HH_FLEMP: households where all active persons work

HH_NOEMPFLU: households where all active persons are unemployed

HH_YEMP: households with at least one employed person

INAC_Y25-64: inactive persons 25-64 years (thousands)

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)

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)

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_SK_NO_AVAIL: persons not seeking employment and not available to work 25-64 years (thousands)

POP_15: population 15 years and over (thousands)

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)

UNEMP: unemployed persons 15 years and more (thousands)

UNEMP_Y25-64: unemployed persons 25-64 years (thousands)

advanced research qualification ( e.g. a ph.d.)

tertiary (university, doctoral and specialization courses)

primary and lower secondary school certificate

no educational degree, primary and lower secondary school certificate

upper secondary school certificate with agricultural address

upper secondary school certificate different from agricultural address

post secondary school certificate with agricultural address

post secondary school certificate different from agricultural address

university degree or diploma with agricultural address

university degree or diploma with other type

literate but no formal educational attainment

secondary and post-secondary non tertiary certificate

diploma of upper secondary education (scholastic and extrascholastic) which does not allow access to the university

high school diploma or academic certificate

university degree or bachelor degree or master degree

primary school certificate, no educational degree

diploma of upper secondary education (2-3 years)

diploma of upper secondary education (4-5 years)

post graduate non-university diploma and afam diploma

diploma of upper secondary education (classical studies, scientific studies, etc.)

academy of fine arts diploma,  etc. music conservatory old programme

second level degree or afam second level

long university degree (old programme), long degree (new programme), second degree (new programme)

with post-university specialization or  post-diploma AFAM

without post-university specialization or  post-diploma AFAM

upper secondary school certificate or diploma of upper secondary education (4-5 years)

short university degree (old programme)/first degree

short university degree (old programme)/first degree

upper secondary school certificate and higher

BL: bachelor's degree or first level academic diploma; Diploma of Higher Technical; University Diploma

BL_ML_RDD: university or academic degree including post-master degree

BMRD: bachelor’s degree or first level academic diploma; Diploma of Higher Technical; University Diploma; Master’s degree or second level academic diploma (and Academy Conservatory old programme); Research Doctorate (PhD)/ Advanced research academic diploma

CLF_ML: university diploma, bachelor’s degree, master’s degree, academy Conservatory old programme

LBNA: literate but no formal educational attainment

ML: master's degree or second level academic diploma (and Academy Conservatory old programme)

ML_RDD: master's degree or second level academic diploma and Research Doctorate (PhD)

NP: no educational degree, final assessment (Primary school)

NPL: no educational degree, final assessment (Primary school), diploma of lower secondary education

USE_IF: diploma of upper secondary education and Certification of higher technical specialisation

USG: diploma of upper secondary education (4-5 years)

NOT: not seeking employment and not available to work  (15-74 years)

NSEEK: persons available to work but not seeking

SEEK: persons seeking work but not immediately available

UNEMWE: unemployed persons without work experience

2C: unemployed persons without work experience

3A: seeking employment not actively and available to work

3B: seeking employment but not available to work

3C: not seeking employment and not available to work

3D: not seeking employment but available to work

INH_OTH_UN5000: other municipalities until 50,000 inhab. (different from metropolitan area suburbs)

MET_AR_INH_GE500001: metropolitan area suburbs and municipalities with 50,001 inhab. and over

SPO: single, partner without children, other rule

name: Young  people not in employment, education or training- previous regulation (until 2020)


European labour status, age

C_MEMP_WNSK_NAV: man employed, woman not seeking employment and not available to work

C_WEMP_MNSK_NAV: woman employed, man not seeking employment and not available to work or 75 or over

RDD: Research Doctorate (PhD)/ Advanced research academic diploma

INH_UN50000: other municipalities until 50,000 inhab. (different from metropolitan area suburbs)

MET_AR_INH_GE50001: metropolitan area suburbs and municipalities with 50,001 inhab. and over


Role in household (%)

M_INH_OTH_UN5000: other municipalities until 50,000 inhab. (different from metropolitan area suburbs)

M_MET_AR_INH_GE50001: metropolitan area suburbs and municipalities with 50,001 inhab. and over


Regional data (%)

N_INH_OTH_UN5000: other municipalities until 50,000 inhab. (different from metropolitan area suburbs)

N_MET_AR_INH_GE50001: metropolitan area suburbs and municipalities with 50,001 inhab. and over


name: Labour status, highest level of education attained


name: European labour status, highest level of education attained


name: European labour status, role in household