Per capita values [93_500_DF_DCCN_TNA_6]
Updated on DBnomics on December 22, 2023 (8:30 AM)
Frequency [FREQ]
Territory [REF_AREA]
Aggregate [DATA_TYPE_AGGR]
Breakdown by industry (NACE Rev.2) [BRKDW_INDUSTRY_NACE_REV2]
Non financial assets [NONFIN_ASSETS]
Expenditure by purpose [EXPEND_PURPOSE_COICOPCOFOG]
Valuation [VALUATION]
Adjustment [ADJUSTMENT]
Price [PRICE]
Edition [EDITION]
Dataset has 4,100 series. Add search filters to narrow them.
Series code | 1995 | 1996 | 1997 | 1998 | 1999 | 2000 | 2001 | 2002 | 2003 | 2004 | 2005 | 2006 | 2007 | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
A.IT.B1GQ_B_W2_S1_R_POP.Z.Z.Z.L_2015.N.Z.2020M12 | 26376.474 | 26703.091 | 27177.522 | 27661.531 | 28106.49 | 29157.705 | 29707.065 | 29720.07 | 29598.965 | 29796.031 | 29861.206 | 30272.202 | 30534.759 | 30009.003 | 28263.753 | 28627.246 | 28719.141 | 27734.17 | 27085.622 | 27020.811 | 27257.347 | 27656.862 | 28160.314 | 28462.848 | 28617.054 | |||
A.IT.B1GQ_B_W2_S1_R_POP.Z.Z.Z.L_2015.N.Z.2020M5 | 26376.474 | 26703.091 | 27177.522 | 27661.531 | 28106.49 | 29157.705 | 29707.065 | 29720.07 | 29598.965 | 29796.031 | 29861.206 | 30272.202 | 30534.759 | 30009.003 | 28263.753 | 28627.246 | 28719.141 | 27734.17 | 27085.622 | 27020.811 | 27257.347 | 27656.862 | 28160.314 | 28439.045 | ||||
A.IT.B1GQ_B_W2_S1_R_POP.Z.Z.Z.L_2015.N.Z.2021M12 | 26376.474 | 26703.091 | 27177.522 | 27661.531 | 28106.49 | 29157.705 | 29707.065 | 29725.119 | 29605.875 | 29804.585 | 29873.476 | 30286.976 | 30550.973 | 30024.562 | 28274.574 | 28632.128 | 28735.025 | 27802.318 | 27235.979 | 27230.632 | 27484.078 | 27892.553 | 28411.119 | 28734.063 | 28923.492 | 26466.73 | ||
A.IT.B1GQ_B_W2_S1_R_POP.Z.Z.Z.L_2015.N.Z.2022M12 | 26376.474 | 26703.091 | 27177.522 | 27661.531 | 28106.49 | 29157.705 | 29707.065 | 29725.119 | 29605.875 | 29804.585 | 29873.476 | 30286.976 | 30550.973 | 30024.562 | 28274.574 | 28632.128 | 28735.025 | 27802.318 | 27235.979 | 27230.632 | 27484.078 | 27892.553 | 28411.119 | 28734.063 | 28944.497 | 26456.469 | 28384.9 | |
A.IT.B1GQ_B_W2_S1_R_POP.Z.Z.Z.L_2015.N.Z.2023M12 | 26376.474 | 26703.091 | 27177.522 | 27661.531 | 28106.49 | 29157.705 | 29707.065 | 29725.119 | 29605.875 | 29804.585 | 29873.476 | 30286.976 | 30550.973 | 30024.562 | 28274.574 | 28632.128 | 28735.025 | 27802.318 | 27235.979 | 27230.632 | 27484.078 | 27892.553 | 28411.119 | 28734.063 | 28944.497 | 26475.597 | 28824.964 | 29959.107 |
A.IT.B1GQ_B_W2_S1_R_POP.Z.Z.Z.V.N.Z.2020M1 | 27967.343 | 28686.761 | 29218.286 | |||||||||||||||||||||||||
A.IT.B1GQ_B_W2_S1_R_POP.Z.Z.Z.V.N.Z.2020M12 | 17385.058 | 18393.692 | 19201.117 | 20012.619 | 20646.903 | 21803.036 | 22887.705 | 23647.474 | 24292.459 | 25107.167 | 25667.983 | 26574.179 | 27469.149 | 27644.276 | 26473.665 | 26931.141 | 27451.811 | 26920.499 | 26592.695 | 26771.339 | 27257.347 | 27970.587 | 28686.611 | 29293.768 | 29661.529 | |||
A.IT.B1GQ_B_W2_S1_R_POP.Z.Z.Z.V.N.Z.2020M5 | 17385.058 | 18393.692 | 19201.117 | 20012.619 | 20646.903 | 21803.036 | 22887.705 | 23647.474 | 24292.459 | 25107.167 | 25667.983 | 26574.179 | 27469.149 | 27644.276 | 26473.665 | 26931.141 | 27451.811 | 26920.499 | 26592.695 | 26771.339 | 27257.347 | 27970.587 | 28686.612 | 29230.645 | ||||
A.IT.B1GQ_B_W2_S1_R_POP.Z.Z.Z.V.N.Z.2021M12 | 17385.058 | 18393.692 | 19201.117 | 20012.619 | 20646.903 | 21803.036 | 22887.705 | 23651.492 | 24298.13 | 25114.374 | 25678.529 | 26587.148 | 27483.735 | 27658.609 | 26483.8 | 26935.733 | 27466.994 | 26986.648 | 26740.316 | 26979.222 | 27484.078 | 28208.952 | 28942.103 | 29583.734 | 30051.263 | 27819.781 | ||
A.IT.B1GQ_B_W2_S1_R_POP.Z.Z.Z.V.N.Z.2022M12 | 17385.058 | 18393.692 | 19201.117 | 20012.619 | 20646.903 | 21803.036 | 22887.705 | 23651.492 | 24298.13 | 25114.374 | 25678.529 | 26587.148 | 27483.735 | 27658.609 | 26483.8 | 26935.733 | 27466.994 | 26986.648 | 26740.316 | 26979.222 | 27484.078 | 28208.952 | 28942.103 | 29583.734 | 30079.953 | 27938.292 | 30136.208 |
Showing results 1 - 10 / 4,100
Dimension codes and labels
[FREQ] Frequency
- [A] annual
[REF_AREA] 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
- [ITCDE] Centro-nord
- [ITD] Nord-est
- [ITD1] Provincia Autonoma Bolzano / Bozen
- [ITD10] Bolzano / Bozen
- [ITD2] Provincia Autonoma Trento
- [ITD20] 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
- [ITF] Sud
- [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
- [ITG] Isole
- [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
- [ITZ] Extra-Regio
[DATA_TYPE_AGGR] Aggregate
- [B1GQ_B_W2_S1_R_POP] gross domestic product at market prices per inhabitant
- [B1G_B_W2_S1_R_FT] value added per employment in full time equivalent
- [B1G_B_W2_S1_R_HW] value added per employment in hours worked
- [B1G_B_W2_S1_R_POP] value added per inhabitant
- [B1G_B_W2_S1_R_PS] value added per employment in persons
- [B6G_B_W2_S14A_R_POP] consumer households' disposable income per inhabitant
- [D11_D_W2_S1_R_FT] domestic wages and salaries per employee in full time equivalent
- [D11_D_W2_S1_R_HW] domestic wages and salaries per employee in hours worked
- [D11_D_W2_S1_R_PS] domestic wages and salaries per employee in persons
- [D1_D_W2_S1_R_FT] domestic compensation of employees per employee in full time equivalent
- [D1_D_W2_S1_R_HW] domestic compensation of employee - per employee in hours worked
- [D1_D_W2_S1_R_PS] domestic compensation of employees - per employee in persons
- [P3_D_W2_S1_R_POP] final domestic consumption per inhabitant
[BRKDW_INDUSTRY_NACE_REV2] Breakdown by industry (NACE Rev.2)
- [Z] not applicable
[NONFIN_ASSETS] Non financial assets
- [Z] not applicable
[EXPEND_PURPOSE_COICOPCOFOG] Expenditure by purpose
- [Z] not applicable
[VALUATION] Valuation
- [L_2015] chain linked - reference year 2015
- [V] current prices
- [Y] in previous year prices
[ADJUSTMENT] Adjustment
- [N] raw data
[PRICE] Price
- [Z] not applicable
[EDITION] Edition
- [2020M1] Jan-2020
- [2020M12] Dec-2020
- [2020M5] May-2020
- [2021M12] Dec-2021
- [2022M12] Dec-2022
- [2023M12] Dec-2023