NUTS 3 areas of Italy by GDP per capita in purchasing power (EU = 100), 2023

Milano had the highest GDP per capita in purchasing power (EU = 100) of 107 areas in 2023, at 193%. Agrigento had the lowest, at 51%. The median was 88% and the figure for Italy was 98%. Source: Eurostat, European Commission.

Highest193Milano
Lowest51Agrigento
Median88107 areas
Italy98History

Top 40 areas, 2023

CSVChart (SVG)

MilanoMilano: 193 %193Bolzano-BozenBolzano-Bozen: 166 %166BolognaBologna: 135 %135ModenaModena: 131 %131RomaRoma: 129 %129ParmaParma: 128 %128Valle d’Aosta/Vallée d’AosteValle d’Aosta/Vallée d’Aoste: 128 %128TrentoTrento: 127 %127FirenzeFirenze: 126 %126Reggio nell’EmiliaReggio nell’Emilia: 119 %119BresciaBrescia: 116 %116GenovaGenova: 115 %115VicenzaVicenza: 115 %115PadovaPadova: 114 %114BergamoBergamo: 113 %113TriesteTrieste: 112 %112VeronaVerona: 112 %112TrevisoTreviso: 110 %110CuneoCuneo: 109 %109PiacenzaPiacenza: 109 %109Forlì-CesenaForlì-Cesena: 108 %108BellunoBelluno: 107 %107CremonaCremona: 106 %106MantovaMantova: 106 %106La SpeziaLa Spezia: 105 %105Monza e della BrianzaMonza e della Brianza: 105 %105TorinoTorino: 105 %105VeneziaVenezia: 105 %105LeccoLecco: 104 %104PisaPisa: 103 %103RavennaRavenna: 103 %103UdineUdine: 102 %102SienaSiena: 101 %101ArezzoArezzo: 99 %99PordenonePordenone: 99 %99RiminiRimini: 99 %99SondrioSondrio: 99 %99LuccaLucca: 98 %98NovaraNovara: 98 %98PratoPrato: 97 %97
%. Source: Eurostat. Retrieved 2026-10-08.

Full ranking

RankAreas2023 (%)Change on 2022
1Milano193+1 pts
2Bolzano-Bozen166+5 pts
3Bologna1350 pts
4Modena131+1 pts
5Roma129-1 pts
6Parma128+4 pts
6Valle d’Aosta/Vallée d’Aoste128+1 pts
8Trento127+1 pts
9Firenze1260 pts
10Reggio nell’Emilia119-2 pts
11Brescia116-1 pts
12Genova115+5 pts
12Vicenza115-1 pts
14Padova114+1 pts
15Bergamo113+1 pts
16Trieste112-1 pts
16Verona1120 pts
18Treviso1100 pts
19Cuneo109+1 pts
19Piacenza109+1 pts
21Forlì-Cesena108+1 pts
22Belluno107-1 pts
23Cremona106-2 pts
23Mantova106+1 pts
25La Spezia1050 pts
25Monza e della Brianza105+1 pts
25Torino105+2 pts
25Venezia105+2 pts
29Lecco104-1 pts
30Pisa1030 pts
30Ravenna1030 pts
32Udine102-2 pts
33Siena101+1 pts
34Arezzo990 pts
34Pordenone99-2 pts
34Rimini99+1 pts
34Sondrio99+2 pts
38Lucca98+2 pts
38Novara98-2 pts
40Prato97-3 pts
40Varese97-2 pts
42Alessandria96+3 pts
43Ancona95-1 pts
43Savona95-1 pts
45Como940 pts
46Cagliari930 pts
46Gorizia93+1 pts
48Vercelli92-2 pts
49Pesaro e Urbino91-1 pts
50Biella90+1 pts
51Ascoli Piceno89+5 pts
51Livorno89-1 pts
51Lodi89+1 pts
54Macerata88-1 pts
55Perugia87+1 pts
56Chieti86+1 pts
56L’Aquila86+2 pts
56Rovigo86+1 pts
59Massa-Carrara850 pts
59Pistoia85+2 pts
61Teramo83+2 pts
62Asti82-1 pts
62Ferrara82-1 pts
62Grosseto820 pts
62Pavia82-3 pts
66Pescara81+2 pts
67Potenza80+1 pts
68Fermo790 pts
68Imperia79+1 pts
68Terni79+4 pts
71Verbano-Cusio-Ossola78-2 pts
72Bari75+1 pts
73Campobasso740 pts
73Latina740 pts
75Frosinone730 pts
75Isernia73+4 pts
75Sassari73+1 pts
78Viterbo71+1 pts
79Rieti69-1 pts
80Matera66-1 pts
80Napoli66+1 pts
80Salerno66+2 pts
83Catanzaro650 pts
83Nuoro65+1 pts
83Palermo65+2 pts
86Siracusa64-20 pts
87Avellino620 pts
87Catania62+1 pts
89Messina61+1 pts
90Brindisi60+1 pts
90Foggia60+1 pts
90Ragusa600 pts
90Reggio Calabria60+1 pts
90Taranto60-3 pts
95Lecce59+1 pts
95Oristano590 pts
97Benevento580 pts
97Caserta580 pts
99Crotone56-2 pts
100Caltanissetta55+1 pts
101Barletta-Andria-Trani54+1 pts
101Trapani540 pts
101Vibo Valentia54+1 pts
104Cosenza530 pts
104Sud Sardegna53+1 pts
106Enna52-1 pts
107Agrigento51-1 pts

Other periods

About this ranking

GDP per inhabitant in purchasing power standards as a percentage of the EU27 average.

Every value in the ranking comes from the same publisher and the same period, so the areas are compared on one definition. Equal values share a rank.

How to cite

Eurostat. GDP per inhabitant in PPS, EU27 = 100, by NUTS 3 region (nama_10r_3gdp). https://ec.europa.eu/eurostat/databrowser/view/nama_10r_3gdp/default/table. Retrieved 2026-10-08.

Use this data in your AI agent

Invokely serves this figure to AI assistants through MCP and to code through a REST API, with the source and citation attached. Ask your assistant:

Rank NUTS 3 areas of Italy by GDP per capita in purchasing power (EU = 100) using official data, and cite the source.
rank_places {"indicator":"gdp_per_capita_pps","level":"province","within":"Italy","limit":10}
GET https://invokely.ai/api/v1/rank?indicator=gdp_per_capita_pps&level=province&within=Italy&limit=10

Connect Claude, ChatGPT or Cursor in one step. The trial answers 25 calls a day without an account.

Questions

Which area has the highest GDP per capita in purchasing power (EU = 100)?

Milano, with 193% in 2023, according to Eurostat, European Commission.

Which area has the lowest GDP per capita in purchasing power (EU = 100)?

Agrigento, with 51% in 2023.

Where does this ranking come from?

Every value comes from one source and one period, so the places are comparable: Eurostat, European Commission, GDP per inhabitant in PPS, EU27 = 100, by NUTS 3 region (nama_10r_3gdp). Retrieved 2026-10-08.

GDP per capita in PPS (EU27 = 100): other rankings

NUTS 3 areas of Italy: more rankings