[93_500_DF_DCCN_TNA_6] Per capita values
Updated on DBnomics on December 22, 2023 (8:30 AM).
[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
Search filters
Frequency [FREQ] (1)
Territory [REF_AREA] (139)
Aggregate [DATA_TYPE_AGGR] (13)
Breakdown by industry (NACE Rev.2) [BRKDW_INDUSTRY_NACE_REV2] (1)
Non financial assets [NONFIN_ASSETS] (1)
Expenditure by purpose [EXPEND_PURPOSE_COICOPCOFOG] (1)
Valuation [VALUATION] (3)
Adjustment [ADJUSTMENT] (1)
Price [PRICE] (1)
Edition [EDITION] (6)
This dataset has 4,100 series:
- min:
- 39,409.248
- max:
- 70,058.866
- avg:
- 56,508.446
- σ:
- 8,703.707
- min:
- 26.109
- max:
- 36.432
- avg:
- 32.113
- σ:
- 3.066
- min:
- 26.109
- max:
- 36.907
- avg:
- 32.353
- σ:
- 3.166
- min:
- 26.109
- max:
- 39.009
- avg:
- 32.672
- σ:
- 3.402
- min:
- 26.109
- max:
- 39.025
- avg:
- 32.941
- σ:
- 3.545
- min:
- 23,502.984
- max:
- 27,183.181
- avg:
- 25,419.93
- σ:
- 1,008.433
- min:
- 23,502.984
- max:
- 27,183.181
- avg:
- 25,407.945
- σ:
- 1,027.487
- min:
- 23,502.984
- max:
- 27,197.616
- avg:
- 25,423.768
- σ:
- 1,022.715
- min:
- 23,502.984
- max:
- 27,197.616
- avg:
- 25,436.916
- σ:
- 1,000.236
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.B1G_B_W2_S1_R_FT.Z.Z.Z.V.N.Z.2023M12] | 39409.248 | 41595.622 | 43101.671 | 44414.886 | 45503.555 | 47298.092 | 49120.241 | 50358.251 | 51888.768 | 53655.455 | 55090.357 | 55965.089 | 57743.61 | 59074.71 | 58595.384 | 60096.209 | 61347.3 | 61210.12 | 62458.658 | 62821.337 | 63483.049 | 64093.01 | 65057.245 | 65889.168 | 66759.824 | 70058.866 | 69638.325 | NA |
[A.IT.B1G_B_W2_S1_R_HW.Z.Z.Z.V.N.Z.2020M12] | NA | NA | NA | NA | NA | 26.109 | 27.242 | 27.919 | 28.688 | 29.626 | 30.323 | 30.72 | 31.519 | 32.245 | 32.188 | 32.917 | 33.62 | 33.935 | 34.692 | 34.989 | 35.341 | 35.593 | 36.046 | 36.432 | NA | NA | NA | NA |
[A.IT.B1G_B_W2_S1_R_HW.Z.Z.Z.V.N.Z.2021M12] | NA | NA | NA | NA | NA | 26.109 | 27.242 | 27.919 | 28.688 | 29.626 | 30.323 | 30.72 | 31.519 | 32.245 | 32.188 | 32.917 | 33.62 | 33.935 | 34.692 | 34.989 | 35.341 | 35.593 | 36.046 | 36.44 | 36.907 | NA | NA | NA |
[A.IT.B1G_B_W2_S1_R_HW.Z.Z.Z.V.N.Z.2022M12] | NA | NA | NA | NA | NA | 26.109 | 27.242 | 27.919 | 28.688 | 29.626 | 30.323 | 30.72 | 31.519 | 32.245 | 32.188 | 32.917 | 33.62 | 33.935 | 34.692 | 34.989 | 35.341 | 35.593 | 36.046 | 36.44 | 36.944 | 39.009 | NA | NA |
[A.IT.B1G_B_W2_S1_R_HW.Z.Z.Z.V.N.Z.2023M12] | NA | NA | NA | NA | NA | 26.109 | 27.242 | 27.919 | 28.688 | 29.626 | 30.323 | 30.72 | 31.519 | 32.245 | 32.188 | 32.917 | 33.62 | 33.935 | 34.692 | 34.989 | 35.341 | 35.593 | 36.046 | 36.44 | 36.944 | 39.025 | 38.574 | NA |
[A.IT.B1G_B_W2_S1_R_POP.Z.Z.Z.L_2015.N.Z.2020M12] | 23502.984 | 23798.999 | 24164.606 | 24567.384 | 24947.651 | 25883.049 | 26344.7 | 26385.546 | 26260.004 | 26476.409 | 26533.162 | 26929.044 | 27183.181 | 26785.638 | 25183.808 | 25536.196 | 25623.789 | 24823.208 | 24311.709 | 24267.634 | 24502.459 | 24877.446 | 25314.282 | 25588.71 | 25706.648 | NA | NA | NA |
[A.IT.B1G_B_W2_S1_R_POP.Z.Z.Z.L_2015.N.Z.2020M5] | 23502.984 | 23798.999 | 24164.606 | 24567.384 | 24947.651 | 25883.049 | 26344.7 | 26385.546 | 26260.004 | 26476.409 | 26533.162 | 26929.044 | 27183.181 | 26785.638 | 25183.808 | 25536.196 | 25623.789 | 24823.208 | 24311.709 | 24267.634 | 24502.459 | 24877.446 | 25314.282 | 25587.797 | NA | NA | NA | NA |
[A.IT.B1G_B_W2_S1_R_POP.Z.Z.Z.L_2015.N.Z.2021M12] | 23502.984 | 23798.999 | 24164.606 | 24567.384 | 24947.651 | 25883.049 | 26344.7 | 26390.029 | 26266.135 | 26484.009 | 26544.064 | 26942.186 | 27197.616 | 26799.526 | 25193.449 | 25540.55 | 25637.961 | 24884.202 | 24446.667 | 24456.076 | 24706.274 | 25089.451 | 25539.74 | 25832.027 | 26002.372 | 23856.259 | NA | NA |
[A.IT.B1G_B_W2_S1_R_POP.Z.Z.Z.L_2015.N.Z.2022M12] | 23502.984 | 23798.999 | 24164.606 | 24567.384 | 24947.651 | 25883.049 | 26344.7 | 26390.029 | 26266.135 | 26484.009 | 26544.064 | 26942.186 | 27197.616 | 26799.526 | 25193.449 | 25540.55 | 25637.961 | 24884.202 | 24446.667 | 24456.076 | 24706.274 | 25089.451 | 25539.74 | 25832.027 | 26022.737 | 23942.471 | 25672.179 | NA |
[A.IT.B1G_B_W2_S1_R_POP.Z.Z.Z.L_2015.N.Z.2023M12] | 23502.984 | 23798.999 | 24164.606 | 24567.384 | 24947.651 | 25883.049 | 26344.7 | 26390.029 | 26266.135 | 26484.009 | 26544.064 | 26942.186 | 27197.616 | 26799.526 | 25193.449 | 25540.55 | 25637.961 | 24884.202 | 24446.667 | 24456.076 | 24706.274 | 25089.451 | 25539.74 | 25832.027 | 26022.737 | 23957.959 | 26025.433 | 27041.726 |
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