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 2013, at 190%. Sud Sardegna had the lowest, at 53%. The median was 91% and the figure for Italy was 100%. Source: Eurostat, European Commission.
Top 40 areas, 2013
Full ranking
| Rank | Areas | 2013 (%) | Change on 2012 |
|---|---|---|---|
| 1 | Milano | 190 | -9 pts |
| 2 | Bolzano-Bozen | 161 | -3 pts |
| 3 | Bologna | 140 | -2 pts |
| 3 | Roma | 140 | -6 pts |
| 5 | Valle d’Aosta/Vallée d’Aoste | 137 | -8 pts |
| 6 | Trento | 133 | 0 pts |
| 7 | Firenze | 130 | -4 pts |
| 8 | Modena | 128 | -1 pts |
| 8 | Parma | 128 | -4 pts |
| 10 | Reggio nell’Emilia | 119 | -2 pts |
| 11 | Verona | 116 | -3 pts |
| 11 | Vicenza | 116 | -1 pts |
| 13 | Brescia | 115 | -4 pts |
| 13 | Genova | 115 | -4 pts |
| 13 | Padova | 115 | -4 pts |
| 16 | Bergamo | 114 | -5 pts |
| 17 | Trieste | 113 | -5 pts |
| 18 | Piacenza | 111 | -2 pts |
| 18 | Ravenna | 111 | -2 pts |
| 20 | Cremona | 110 | +2 pts |
| 20 | Forlì-Cesena | 110 | -2 pts |
| 20 | Siena | 110 | -8 pts |
| 23 | Cuneo | 109 | -1 pts |
| 23 | Lecco | 109 | 0 pts |
| 23 | Monza e della Brianza | 109 | -3 pts |
| 23 | Treviso | 109 | -3 pts |
| 27 | Belluno | 108 | 0 pts |
| 27 | La Spezia | 108 | -2 pts |
| 27 | Torino | 108 | -1 pts |
| 30 | Mantova | 107 | -2 pts |
| 30 | Pordenone | 107 | -1 pts |
| 30 | Venezia | 107 | -2 pts |
| 33 | Prato | 106 | -1 pts |
| 33 | Sondrio | 106 | -6 pts |
| 33 | Varese | 106 | -6 pts |
| 36 | Pisa | 105 | -3 pts |
| 36 | Rimini | 105 | -4 pts |
| 36 | Udine | 105 | 0 pts |
| 39 | Ancona | 102 | -3 pts |
| 40 | Arezzo | 100 | 0 pts |
| 40 | Como | 100 | -3 pts |
| 42 | Novara | 99 | -2 pts |
| 42 | Savona | 99 | -3 pts |
| 44 | Vercelli | 98 | 0 pts |
| 45 | Alessandria | 97 | -2 pts |
| 45 | Lucca | 97 | -3 pts |
| 47 | Lodi | 96 | -1 pts |
| 48 | Cagliari | 95 | -5 pts |
| 48 | Gorizia | 95 | 0 pts |
| 50 | Biella | 93 | -2 pts |
| 50 | Livorno | 93 | -4 pts |
| 52 | Ferrara | 92 | -1 pts |
| 53 | Perugia | 91 | -3 pts |
| 53 | Pescara | 91 | -4 pts |
| 55 | Asti | 90 | 0 pts |
| 55 | L’Aquila | 90 | -4 pts |
| 55 | Pesaro e Urbino | 90 | -4 pts |
| 55 | Pistoia | 90 | -5 pts |
| 59 | Chieti | 89 | -2 pts |
| 59 | Rovigo | 89 | -2 pts |
| 61 | Fermo | 88 | -3 pts |
| 61 | Macerata | 88 | -3 pts |
| 63 | Grosseto | 87 | -2 pts |
| 63 | Massa-Carrara | 87 | -2 pts |
| 63 | Verbano-Cusio-Ossola | 87 | -1 pts |
| 66 | Pavia | 86 | -2 pts |
| 67 | Ascoli Piceno | 85 | -2 pts |
| 67 | Imperia | 85 | -2 pts |
| 69 | Teramo | 83 | -3 pts |
| 70 | Latina | 81 | -3 pts |
| 70 | Terni | 81 | -3 pts |
| 72 | Potenza | 80 | +2 pts |
| 73 | Frosinone | 77 | -4 pts |
| 73 | Viterbo | 77 | -2 pts |
| 75 | Sassari | 76 | -3 pts |
| 76 | Campobasso | 75 | -6 pts |
| 77 | Bari | 74 | -3 pts |
| 78 | Catanzaro | 71 | -3 pts |
| 78 | Rieti | 71 | -3 pts |
| 80 | Isernia | 70 | -6 pts |
| 81 | Siracusa | 68 | -1 pts |
| 82 | Catania | 66 | -1 pts |
| 82 | Napoli | 66 | -4 pts |
| 82 | Nuoro | 66 | -2 pts |
| 82 | Palermo | 66 | -2 pts |
| 86 | Avellino | 65 | +1 pts |
| 86 | Matera | 65 | -1 pts |
| 86 | Ragusa | 65 | -11 pts |
| 86 | Salerno | 65 | -2 pts |
| 90 | Messina | 64 | -2 pts |
| 91 | Benevento | 63 | +1 pts |
| 91 | Crotone | 63 | -2 pts |
| 91 | Foggia | 63 | 0 pts |
| 94 | Reggio Calabria | 62 | -2 pts |
| 94 | Taranto | 62 | -6 pts |
| 96 | Brindisi | 61 | -3 pts |
| 97 | Caltanissetta | 59 | 0 pts |
| 97 | Trapani | 59 | 0 pts |
| 99 | Caserta | 58 | -2 pts |
| 100 | Cosenza | 57 | -2 pts |
| 100 | Lecce | 57 | -2 pts |
| 100 | Oristano | 57 | -5 pts |
| 103 | Vibo Valentia | 56 | -2 pts |
| 104 | Barletta-Andria-Trani | 55 | -2 pts |
| 105 | Agrigento | 54 | -2 pts |
| 105 | Enna | 54 | -1 pts |
| 107 | Sud Sardegna | 53 | -2 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.
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Which area has the highest GDP per capita in purchasing power (EU = 100)?
Milano, with 190% in 2013, according to Eurostat, European Commission.
Which area has the lowest GDP per capita in purchasing power (EU = 100)?
Sud Sardegna, with 53% in 2013.
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)