Pensions [46_813]

Updated by DBnomics on: June 11, 2019

Frequency [FREQ]

Age class [CLASSE_ETA]

Monthly amount class [IMPORTO]

Territory [ITTER107]

Abroad

[ITS] (77,580)
Abruzzo

[ITF1] (10,256)
Agrigento

[ITG14] (9,636)
Alessandria

[ITC18] (9,861)
Ancona

[ITE32] (9,897)
Arezzo

[ITE18] (9,810)
Ascoli Piceno

[ITE34] (9,699)
Asti

[ITC17] (9,465)
Avellino

[ITF34] (9,825)
Bari

[ITF42] (10,068)
Barletta-Andria-Trani

[IT110] (9,675)
Basilicata

[ITF5] (9,827)
Belluno

[ITD33] (9,675)
Benevento

[ITF32] (9,585)
Bergamo

[ITC46] (10,059)
Biella

[ITC13] (9,336)
Bologna

[ITD55] (10,107)
Bolzano / Bozen

[ITD10] (10,002)
Brescia

[ITC47] (10,026)
Brindisi

[ITF44] (9,804)
Cagliari

[ITG27] (9,918)
Calabria

[ITF6] (10,262)
Caltanissetta

[ITG15] (9,600)
Campania

[ITF3] (10,334)
Campobasso

[ITF22] (9,654)
Carbonia-Iglesias

[ITG2C] (9,228)
Caserta

[ITF31] (9,930)
Catania

[ITG17] (9,987)
Catanzaro

[ITF63] (9,723)
Centro (I)

[ITE] (10,508)
Chieti

[ITF14] (9,852)
Como

[ITC42] (9,888)
Cosenza

[ITF61] (9,927)
Cremona

[ITC4A] (9,708)
Crotone

[ITF62] (9,315)
Cuneo

[ITC16] (9,897)
da precisare

[ITNI] (27,819)
Emilia-Romagna

[ITD5] (10,400)
Enna

[ITG16] (9,192)
Fermo

[IT109] (9,528)
Ferrara

[ITD56] (9,789)
Firenze

[ITE14] (10,053)
Foggia

[ITF41] (9,792)
Forlì-Cesena

[ITD58] (9,822)
Friuli-Venezia Giulia

[ITD4] (10,232)
Frosinone

[ITE45] (9,759)
Genova

[ITC33] (10,116)
Gorizia

[ITD43] (9,366)
Grosseto

[ITE1A] (9,510)
Imperia

[ITC31] (9,453)
Isernia

[ITF21] (9,261)
Isole

[ITG] (10,439)
Italy

[IT] (110,142)
L'Aquila

[ITF11] (9,834)
La Spezia

[ITC34] (9,819)
Latina

[ITE44] (9,987)
Lazio

[ITE4] (10,439)
Lecce

[ITF45] (10,026)
Lecco

[ITC43] (9,564)
Liguria

[ITC3] (10,268)
Livorno

[ITE16] (9,828)
Lodi

[ITC49] (9,387)
Lombardia

[ITC4] (10,433)
Lucca

[ITE12] (9,753)
Macerata

[ITE33] (9,777)
Mantova

[ITC4B] (9,768)
Marche

[ITE3] (10,280)
Massa-Carrara

[ITE11] (9,618)
Matera

[ITF52] (9,351)
Medio Campidano

[ITG2B] (9,078)
Messina

[ITG13] (9,987)
Milano

[ITC45] (10,194)
Modena

[ITD54] (9,933)
Molise

[ITF2] (9,827)
Monza e della Brianza

[IT108] (9,858)
Napoli

[ITF33] (10,170)
Nord-est

[ITD] (10,577)
Nord-ovest

[ITC] (10,502)
Novara

[ITC15] (9,636)
Nuoro

[ITG26] (9,504)
Ogliastra

[ITG2A] (8,850)
Olbia-Tempio

[ITG29] (9,390)
Oristano

[ITG28] (9,483)
Padova

[ITD36] (10,017)
Palermo

[ITG12] (10,095)
Parma

[ITD52] (9,918)
Pavia

[ITC48] (9,837)
Perugia

[ITE21] (10,011)
Pesaro e Urbino

[ITE31] (9,843)
Pescara

[ITF13] (9,729)
Piacenza

[ITD51] (9,741)
Piemonte

[ITC1] (10,427)
Pisa

[ITE17] (9,927)
Pistoia

[ITE13] (9,645)
Pordenone

[ITD41] (9,753)
Potenza

[ITF51] (9,705)
Prato

[ITE15] (9,420)
Provincia Autonoma Bolzano / Bozen

[ITD1] (10,058)
Provincia Autonoma Trento

[ITD2] (10,022)
Puglia

[ITF4] (10,376)
Ragusa

[ITG18] (9,543)
Ravenna

[ITD57] (9,837)
Reggio di Calabria

[ITF65] (9,873)
Reggio nell'Emilia

[ITD53] (9,909)
Rieti

[ITE42] (9,648)
Rimini

[ITD59] (9,855)
Roma

[ITE43] (10,290)
Rovigo

[ITD37] (9,444)
Salerno

[ITF35] (9,975)
Sardegna

[ITG2] (10,223)
Sassari

[ITG25] (9,753)
Savona

[ITC32] (9,678)
Sicilia

[ITG1] (10,415)
Siena

[ITE19] (9,789)
Siracusa

[ITG19] (9,714)
Sondrio

[ITC44] (9,504)
Sud

[ITF] (10,478)
Taranto

[ITF43] (9,909)
Teramo

[ITF12] (9,849)
Terni

[ITE22] (9,714)
Torino

[ITC11] (10,233)
Toscana

[ITE1] (10,352)
Total

[ITTOT] (110,162)
Trapani

[ITG11] (9,777)
Trentino Alto Adige / Südtirol

[ITDA] (10,220)
Trento

[ITD20] (9,966)
Treviso

[ITD34] (10,026)
Trieste

[ITD44] (9,666)
Udine

[ITD42] (10,014)
Umbria

[ITE2] (10,148)
Valle d'Aosta / Vallée d'Aoste

[ITC2] (9,446)
Valle d'Aosta / Vallée d'Aoste

[ITC20] (9,390)
Varese

[ITC41] (9,909)
Veneto

[ITD3] (10,385)
Venezia

[ITD35] (9,999)
Verbano-Cusio-Ossola

[ITC14] (9,384)
Vercelli

[ITC12] (9,534)
Verona

[ITD31] (10,017)
Vibo Valentia

[ITF64] (9,441)
Vicenza

[ITD32] (9,909)
Viterbo

[ITE41] (9,768)

(Ex) Professional status [PROFILO_PROF_EX]

Area of the owner [SETTITOLARE]

Gender [SESSO]

Data type [TIPO_DATO]

Pension type [TIPO_PENSIONE]

Dataset has 1,675,388 series. Add search filters to narrow them.

annual – not divisible – 1,000.00 - 1,249.99 eur – Italy – employees – private sector – males (1) – annual gross medium pensions income (euro) – disability (DISAB)
[ISTAT/46_813/A.NDIV.E1000-1249_99.IT.9.1.1.AMEP_NS.DISAB]
annual – not divisible – 1,000.00 - 1,249.99 eur – Italy – employees – private sector – males (1) – annual gross medium pensions income (euro) – disability (DISAB1)
[ISTAT/46_813/A.NDIV.E1000-1249_99.IT.9.1.1.AMEP_NS.DISAB1]
annual – not divisible – 1,000.00 - 1,249.99 eur – Italy – employees – private sector – males (1) – annual gross medium pensions income (euro) – old age and seniority (OLSEN)
[ISTAT/46_813/A.NDIV.E1000-1249_99.IT.9.1.1.AMEP_NS.OLSEN]
annual – not divisible – 1,000.00 - 1,249.99 eur – Italy – employees – private sector – males (1) – annual gross medium pensions income (euro) – old age and seniority (OLSEN1)
[ISTAT/46_813/A.NDIV.E1000-1249_99.IT.9.1.1.AMEP_NS.OLSEN1]
annual – not divisible – 1,000.00 - 1,249.99 eur – Italy – employees – private sector – males (1) – annual gross pensions income (thousands of euro) – disability (DISAB)
[ISTAT/46_813/A.NDIV.E1000-1249_99.IT.9.1.1.ANP_NS.DISAB]
annual – not divisible – 1,000.00 - 1,249.99 eur – Italy – employees – private sector – males (1) – annual gross pensions income (thousands of euro) – disability (DISAB1)
[ISTAT/46_813/A.NDIV.E1000-1249_99.IT.9.1.1.ANP_NS.DISAB1]
annual – not divisible – 1,000.00 - 1,249.99 eur – Italy – employees – private sector – males (1) – annual gross pensions income (thousands of euro) – old age and seniority (OLSEN)
[ISTAT/46_813/A.NDIV.E1000-1249_99.IT.9.1.1.ANP_NS.OLSEN]
annual – not divisible – 1,000.00 - 1,249.99 eur – Italy – employees – private sector – males (1) – annual gross pensions income (thousands of euro) – old age and seniority (OLSEN1)
[ISTAT/46_813/A.NDIV.E1000-1249_99.IT.9.1.1.ANP_NS.OLSEN1]
annual – not divisible – 1,000.00 - 1,249.99 eur – Italy – employees – private sector – males (1) – pensions number – disability (DISAB)
[ISTAT/46_813/A.NDIV.E1000-1249_99.IT.9.1.1.P_NSNU.DISAB]
annual – not divisible – 1,000.00 - 1,249.99 eur – Italy – employees – private sector – males (1) – pensions number – disability (DISAB1)
[ISTAT/46_813/A.NDIV.E1000-1249_99.IT.9.1.1.P_NSNU.DISAB1]

Showing results 1 - 10 / 1,675,388

Dimensions codes and labels

[FREQ] Frequency

[A] annual

[CLASSE_ETA] Age class

[Y10-14] 10-14 years
[Y15-19] 15-19 years
[Y20-24] 20-24 years
[Y25-29] 25-29 years
[Y30-34] 30-34 years
[Y35-39] 35-39 years
[Y40-44] 40-44 years
[Y45-49] 45-49 years
[Y5-9] 5-9 years
[Y50-54] 50-54 years
[Y55-59] 55-59 years
[Y60-64] 60-64 years
[Y65-69] 65-69 years
[Y70-74] 70-74 years
[Y75-79] 75-79 years
[Y80-84] 80-84 years
[Y85-89] 85-89 years
[Y90-94] 90-94 years
[Y_GE95] 95 years and over
[NDIV] not divisible
[TOTAL] total
[Y_UN4] until 4 years

[IMPORTO] Monthly amount class

[E1000-1249_99] 1,000.00 - 1,249.99 eur
[E1250-1499_99] 1,250.00 - 1,499.99 eur
[E1500-1749_99] 1,500.00 - 1,749.99 eur
[E1750-1999_99] 1,750.00 - 1,999.99 eur
[E2000-2249_99] 2,000.00 - 2,249.99 eur
[E2250-2499_99] 2,250.00 - 2,499.99 eur
[E2500-2999_99] 2,500.00 - 2,999.99 eur
[E250-499_99] 250.00 - 499.99 eur
[E_GE3000] 3,000 eur and over
[E500-749_99] 500.00 - 749.99 eur
[E750-999_99] 750.00 - 999.99 eur
[TOTAL] total
[E_UN249_99] until 249.99 eur

[ITTER107] Territory

[ITS] Abroad
[ITF1] Abruzzo
[ITG14] Agrigento
[ITC18] Alessandria
[ITE32] Ancona
[ITE18] Arezzo
[ITE34] Ascoli Piceno
[ITC17] Asti
[ITF34] Avellino
[ITF42] Bari
[IT110] Barletta-Andria-Trani
[ITF5] Basilicata
[ITD33] Belluno
[ITF32] Benevento
[ITC46] Bergamo
[ITC13] Biella
[ITD55] Bologna
[ITD10] Bolzano / Bozen
[ITC47] Brescia
[ITF44] Brindisi
[ITG27] Cagliari
[ITF6] Calabria
[ITG15] Caltanissetta
[ITF3] Campania
[ITF22] Campobasso
[ITG2C] Carbonia-Iglesias
[ITF31] Caserta
[ITG17] Catania
[ITF63] Catanzaro
[ITE] Centro (I)
[ITF14] Chieti
[ITC42] Como
[ITF61] Cosenza
[ITC4A] Cremona
[ITF62] Crotone
[ITC16] Cuneo
[ITNI] da precisare
[ITD5] Emilia-Romagna
[ITG16] Enna
[IT109] Fermo
[ITD56] Ferrara
[ITE14] Firenze
[ITF41] Foggia
[ITD58] Forlì-Cesena
[ITD4] Friuli-Venezia Giulia
[ITE45] Frosinone
[ITC33] Genova
[ITD43] Gorizia
[ITE1A] Grosseto
[ITC31] Imperia
[ITF21] Isernia
[ITG] Isole
[IT] Italy
[ITF11] L'Aquila
[ITC34] La Spezia
[ITE44] Latina
[ITE4] Lazio
[ITF45] Lecce
[ITC43] Lecco
[ITC3] Liguria
[ITE16] Livorno
[ITC49] Lodi
[ITC4] Lombardia
[ITE12] Lucca
[ITE33] Macerata
[ITC4B] Mantova
[ITE3] Marche
[ITE11] Massa-Carrara
[ITF52] Matera
[ITG2B] Medio Campidano
[ITG13] Messina
[ITC45] Milano
[ITD54] Modena
[ITF2] Molise
[IT108] Monza e della Brianza
[ITF33] Napoli
[ITD] Nord-est
[ITC] Nord-ovest
[ITC15] Novara
[ITG26] Nuoro
[ITG2A] Ogliastra
[ITG29] Olbia-Tempio
[ITG28] Oristano
[ITD36] Padova
[ITG12] Palermo
[ITD52] Parma
[ITC48] Pavia
[ITE21] Perugia
[ITE31] Pesaro e Urbino
[ITF13] Pescara
[ITD51] Piacenza
[ITC1] Piemonte
[ITE17] Pisa
[ITE13] Pistoia
[ITD41] Pordenone
[ITF51] Potenza
[ITE15] Prato
[ITD1] Provincia Autonoma Bolzano / Bozen
[ITD2] Provincia Autonoma Trento
[ITF4] Puglia
[ITG18] Ragusa
[ITD57] Ravenna
[ITF65] Reggio di Calabria
[ITD53] Reggio nell'Emilia
[ITE42] Rieti
[ITD59] Rimini
[ITE43] Roma
[ITD37] Rovigo
[ITF35] Salerno
[ITG2] Sardegna
[ITG25] Sassari
[ITC32] Savona
[ITG1] Sicilia
[ITE19] Siena
[ITG19] Siracusa
[ITC44] Sondrio
[ITF] Sud
[ITF43] Taranto
[ITF12] Teramo
[ITE22] Terni
[ITC11] Torino
[ITE1] Toscana
[ITTOT] Total
[ITG11] Trapani
[ITDA] Trentino Alto Adige / Südtirol
[ITD20] Trento
[ITD34] Treviso
[ITD44] Trieste
[ITD42] Udine
[ITE2] Umbria
[ITC2] Valle d'Aosta / Vallée d'Aoste
[ITC20] Valle d'Aosta / Vallée d'Aoste
[ITC41] Varese
[ITD3] Veneto
[ITD35] Venezia
[ITC14] Verbano-Cusio-Ossola
[ITC12] Vercelli
[ITD31] Verona
[ITF64] Vibo Valentia
[ITD32] Vicenza
[ITE41] Viterbo

[PROFILO_PROF_EX] (Ex) Professional status

[9] employees
[21] not employees (except freelancer)
[12] professional
[99] total

[SETTITOLARE] Area of the owner

[1] private sector
[2] public sector
[9] total

[SESSO] Gender

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

[TIPO_DATO] Data type

[AMEP_NS] annual gross medium pensions income (euro)
[ANP_NS] annual gross pensions income (thousands of euro)
[PENEXP] pension expenditure on GDP
[PENPER] pension per 100 inhabitants
[P_NSNU] pensions number
[RELIND] relativebenefit index

[TIPO_PENSIONE] Pension type

[ALL] all items
[CIVDIS] civil disability
[COMP] compensatory
[DISAB] disability
[DISAB1] disability
[NOCONT] non contributory
[OLSEN] old age and seniority
[OLSEN1] old age and seniority
[SURV] survivors
[OSDCOMP] total Osd and compensatory
[WAR] war

Technical links