NUTS 3 areas of Italy by GDP per capita in purchasing power (EU = 100)
Milano had the highest GDP per capita in purchasing power (EU = 100) of 107 areas in 2019, at 180%. Sud Sardegna had the lowest, at 50%. The median was 86% and the figure for Italy was 96%. Source: Eurostat, European Commission.
Top 40 areas, 2019
Full ranking
| Rank | Areas | 2019 (%) | Change on 2018 |
|---|---|---|---|
| 1 | Milano | 180 | -5 pts |
| 2 | Bolzano-Bozen | 156 | 0 pts |
| 3 | Firenze | 136 | +10 pts |
| 4 | Bologna | 135 | -1 pts |
| 5 | Roma | 128 | -1 pts |
| 6 | Parma | 123 | -2 pts |
| 6 | Valle d’Aosta/Vallée d’Aoste | 123 | -1 pts |
| 8 | Modena | 122 | -5 pts |
| 8 | Trento | 122 | 0 pts |
| 10 | Reggio nell’Emilia | 118 | 0 pts |
| 11 | Genova | 115 | +1 pts |
| 12 | Brescia | 113 | -1 pts |
| 12 | Vicenza | 113 | -1 pts |
| 14 | Belluno | 112 | +4 pts |
| 14 | Bergamo | 112 | 0 pts |
| 14 | Padova | 112 | -1 pts |
| 14 | Trieste | 112 | -1 pts |
| 18 | Verona | 111 | -2 pts |
| 19 | Treviso | 109 | -1 pts |
| 20 | Piacenza | 107 | -1 pts |
| 21 | Forlì-Cesena | 106 | -1 pts |
| 22 | Cremona | 105 | -2 pts |
| 22 | Cuneo | 105 | 0 pts |
| 22 | Prato | 105 | -2 pts |
| 25 | Lecco | 104 | -1 pts |
| 25 | Siena | 104 | -2 pts |
| 25 | Torino | 104 | -3 pts |
| 25 | Venezia | 104 | 0 pts |
| 29 | Mantova | 103 | -4 pts |
| 29 | Monza e della Brianza | 103 | -1 pts |
| 29 | Pisa | 103 | 0 pts |
| 32 | Ravenna | 102 | -3 pts |
| 33 | Pordenone | 101 | -1 pts |
| 33 | Udine | 101 | +1 pts |
| 35 | Novara | 100 | +1 pts |
| 36 | La Spezia | 99 | -1 pts |
| 36 | Rimini | 99 | -1 pts |
| 36 | Sondrio | 99 | +2 pts |
| 39 | Varese | 98 | -2 pts |
| 40 | Ancona | 97 | -1 pts |
| 41 | Alessandria | 94 | +1 pts |
| 41 | Arezzo | 94 | 0 pts |
| 41 | Como | 94 | -1 pts |
| 44 | Gorizia | 93 | +1 pts |
| 45 | Cagliari | 92 | -1 pts |
| 45 | Lucca | 92 | -1 pts |
| 47 | Lodi | 90 | +2 pts |
| 48 | Pesaro e Urbino | 89 | 0 pts |
| 48 | Savona | 89 | -3 pts |
| 48 | Vercelli | 89 | -2 pts |
| 51 | Biella | 88 | -3 pts |
| 52 | Ferrara | 86 | -3 pts |
| 52 | Livorno | 86 | -2 pts |
| 52 | Macerata | 86 | -1 pts |
| 55 | Asti | 85 | 0 pts |
| 55 | Perugia | 85 | -1 pts |
| 55 | Pistoia | 85 | -2 pts |
| 55 | Rovigo | 85 | -1 pts |
| 59 | Chieti | 84 | -1 pts |
| 60 | Ascoli Piceno | 83 | +3 pts |
| 60 | Massa-Carrara | 83 | -2 pts |
| 62 | L’Aquila | 82 | +1 pts |
| 62 | Pavia | 82 | 0 pts |
| 64 | Fermo | 80 | -1 pts |
| 64 | Grosseto | 80 | -2 pts |
| 64 | Verbano-Cusio-Ossola | 80 | 0 pts |
| 67 | Pescara | 79 | -3 pts |
| 68 | Imperia | 78 | -1 pts |
| 69 | Teramo | 77 | -1 pts |
| 69 | Terni | 77 | -2 pts |
| 71 | Potenza | 76 | -3 pts |
| 72 | Frosinone | 75 | +1 pts |
| 72 | Latina | 75 | -1 pts |
| 74 | Bari | 72 | 0 pts |
| 74 | Campobasso | 72 | +1 pts |
| 76 | Viterbo | 69 | -1 pts |
| 77 | Sassari | 68 | +1 pts |
| 78 | Isernia | 67 | -1 pts |
| 79 | Rieti | 65 | 0 pts |
| 80 | Catanzaro | 64 | -1 pts |
| 80 | Napoli | 64 | 0 pts |
| 82 | Matera | 62 | 0 pts |
| 82 | Nuoro | 62 | +1 pts |
| 84 | Catania | 61 | 0 pts |
| 84 | Palermo | 61 | 0 pts |
| 84 | Salerno | 61 | 0 pts |
| 87 | Avellino | 60 | -3 pts |
| 88 | Messina | 59 | 0 pts |
| 89 | Foggia | 58 | 0 pts |
| 89 | Ragusa | 58 | -1 pts |
| 89 | Siracusa | 58 | -2 pts |
| 89 | Taranto | 58 | -1 pts |
| 93 | Brindisi | 57 | -2 pts |
| 93 | Reggio Calabria | 57 | -1 pts |
| 95 | Caserta | 56 | +1 pts |
| 95 | Oristano | 56 | 0 pts |
| 97 | Benevento | 55 | -1 pts |
| 97 | Crotone | 55 | -2 pts |
| 97 | Lecce | 55 | 0 pts |
| 100 | Vibo Valentia | 54 | 0 pts |
| 101 | Trapani | 53 | -1 pts |
| 102 | Barletta-Andria-Trani | 52 | -1 pts |
| 102 | Cosenza | 52 | 0 pts |
| 104 | Agrigento | 50 | 0 pts |
| 104 | Caltanissetta | 50 | +1 pts |
| 104 | Enna | 50 | 0 pts |
| 104 | Sud Sardegna | 50 | 0 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.
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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}
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Questions
Which area has the highest GDP per capita in purchasing power (EU = 100)?
Milano, with 180% in 2019, according to Eurostat, European Commission.
Which area has the lowest GDP per capita in purchasing power (EU = 100)?
Sud Sardegna, with 50% in 2019.
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
- EU countries
- EU regions (NUTS 2)
- Autonomous communities of Spain
- Provinces of Spain
- Regions of Germany (NUTS 2)
- Regions of France (NUTS 2)
- Regions of Italy (NUTS 2)
- Regions of Poland (NUTS 2)
- Regions of Greece (NUTS 2)
- Regions of Netherlands (NUTS 2)
- Regions of Belgium (NUTS 2)
- Regions of Austria (NUTS 2)