Data / Rankings / Unemployment rate / NUTS 3 areas of Italy

NUTS 3 areas of Italy by unemployment rate

Crotone had the highest unemployment rate of 107 areas in 2019, at 29.02%. Bolzano-Bozen had the lowest, at 2.88%. The median was 8.17%. Source: Istituto Nazionale di Statistica (Istat, Italy).

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Highest29.02Crotone
Lowest2.88Bolzano-Bozen
Median8.17107 areas

Top 40 areas, 2019

Crotone: 29.02 %Crotone29.02Messina: 26 %Messina26Siracusa: 24.06 %Siracusa24.06Agrigento: 23.51 %Agrigento23.51Napoli: 23.42 %Napoli23.42Enna: 23.4 %Enna23.4Cosenza: 21.39 %Cosenza21.39Foggia: 20.77 %Foggia20.77Catanzaro: 20.64 %Catanzaro20.64Palermo: 19.05 %Palermo19.05Reggio Calabria: 18.87 %Reggio Calabria18.87Caltanissetta: 18.47 %Caltanissetta18.47Caserta: 18.33 %Caserta18.33Trapani: 17.76 %Trapani17.76Lecce: 17.5 %Lecce17.5Vibo Valentia: 17.49 %Vibo Valentia17.49Oristano: 17.19 %Oristano17.19Salerno: 17.16 %Salerno17.16Ragusa: 16.42 %Ragusa16.42Catania: 15.96 %Catania15.96Sud Sardegna: 15.93 %Sud Sardegna15.93Cagliari: 15.9 %Cagliari15.9Taranto: 15.37 %Taranto15.37Avellino: 14.58 %Avellino14.58Barletta-Andria-Trani: 14.24 %Barletta-Andria-Trani14.24Frosinone: 14.16 %Frosinone14.16Sassari: 13.97 %Sassari13.97Latina: 13.7 %Latina13.7Imperia: 13.57 %Imperia13.57Chieti: 13.47 %Chieti13.47Isernia: 13.17 %Isernia13.17Pescara: 11.84 %Pescara11.84Bari: 11.82 %Bari11.82Brindisi: 11.75 %Brindisi11.75Campobasso: 11.62 %Campobasso11.62Nuoro: 11.32 %Nuoro11.32Ancona: 11.02 %Ancona11.02Potenza: 10.96 %Potenza10.96Matera: 10.63 %Matera10.63Ascoli Piceno: 10.47 %Ascoli Piceno10.47Crotone: 29.02 %Crotone29.02Messina: 26 %Messina26Siracusa: 24.06 %Siracusa24.06Agrigento: 23.51 %Agrigento23.51Napoli: 23.42 %Napoli23.42Enna: 23.4 %Enna23.4Cosenza: 21.39 %Cosenza21.39Foggia: 20.77 %Foggia20.77Catanzaro: 20.64 %Catanzaro20.64Palermo: 19.05 %Palermo19.05Reggio Calabria: 18.87 %Reggio Calabria18.87Caltanissetta: 18.47 %Caltanissetta18.47Caserta: 18.33 %Caserta18.33Trapani: 17.76 %Trapani17.76Lecce: 17.5 %Lecce17.5Vibo Valentia: 17.49 %Vibo Valentia17.49Oristano: 17.19 %Oristano17.19Salerno: 17.16 %Salerno17.16Ragusa: 16.42 %Ragusa16.42Catania: 15.96 %Catania15.96Sud Sardegna: 15.93 %Sud Sardegna15.93Cagliari: 15.9 %Cagliari15.9Taranto: 15.37 %Taranto15.37Avellino: 14.58 %Avellino14.58Barletta-Andria-Trani: 14.24 %Barletta-Andria-Trani14.24Frosinone: 14.16 %Frosinone14.16Sassari: 13.97 %Sassari13.97Latina: 13.7 %Latina13.7Imperia: 13.57 %Imperia13.57Chieti: 13.47 %Chieti13.47Isernia: 13.17 %Isernia13.17Pescara: 11.84 %Pescara11.84Bari: 11.82 %Bari11.82Brindisi: 11.75 %Brindisi11.75Campobasso: 11.62 %Campobasso11.62Nuoro: 11.32 %Nuoro11.32Ancona: 11.02 %Ancona11.02Potenza: 10.96 %Potenza10.96Matera: 10.63 %Matera10.63Ascoli Piceno: 10.47 %Ascoli Piceno10.47
%. Source: Istat, Istat, dataflow 151_914 (Tasso di disoccupazione): unemployment rate, ages 15 to 74, both sexes, annual, by province. Retrieved 2026-10-12.

Full ranking

RankAreas2019 (%)Change on 2018
1Crotone29.02+1.33 pts
2Messina26+0.52 pts
3Siracusa24.06+2.03 pts
4Agrigento23.51-3.81 pts
5Napoli23.42-0.89 pts
6Enna23.4+2.05 pts
7Cosenza21.39-2.02 pts
8Foggia20.77-1.46 pts
9Catanzaro20.64+0.41 pts
10Palermo19.05-0.58 pts
11Reggio Calabria18.87-0.83 pts
12Caltanissetta18.47+1 pts
13Caserta18.33-0.9 pts
14Trapani17.76-5.71 pts
15Lecce17.5-0.43 pts
16Vibo Valentia17.49+2.63 pts
17Oristano17.19+3.86 pts
18Salerno17.16+2.11 pts
19Ragusa16.42-2.2 pts
20Catania15.96-2.57 pts
21Sud Sardegna15.93-1.99 pts
22Cagliari15.9-0.4 pts
23Taranto15.37-1.46 pts
24Avellino14.58-0.68 pts
25Barletta-Andria-Trani14.24+0.2 pts
26Frosinone14.16-4.36 pts
27Sassari13.97-0.54 pts
28Latina13.7-2.37 pts
29Imperia13.57+0.28 pts
30Chieti13.47+2.22 pts
31Isernia13.17-3.91 pts
32Pescara11.84+0.1 pts
33Bari11.82-1.31 pts
34Brindisi11.75-2.6 pts
35Campobasso11.62+0.47 pts
36Nuoro11.32-1.79 pts
37Ancona11.02+2.09 pts
38Potenza10.96-1.77 pts
39Matera10.63-1.33 pts
40Ascoli Piceno10.47+1.12 pts
41Terni10.4+0.57 pts
42Benevento10.37-1.43 pts
43Rieti10.36-0.61 pts
44Genova9.99+0.42 pts
45Viterbo9.97-1.89 pts
46L’Aquila9.44-0.51 pts
47Teramo9.21-0.98 pts
48Alessandria9.18-0.78 pts
49Roma9.05-0.71 pts
50La Spezia8.8-1.01 pts
51Ferrara8.71-0.26 pts
52Pistoia8.35+0.42 pts
53Torino8.33-0.92 pts
54Rovigo8.17+1.29 pts
55Biella8.08+1.47 pts
56Rimini7.98-0.16 pts
57Novara7.92-0.47 pts
58Vercelli7.87+0.74 pts
59Perugia7.86-1.22 pts
60Lucca7.85-1.46 pts
61Gorizia7.68-0.85 pts
62Macerata7.51-0.22 pts
63Arezzo7.44-1.82 pts
64Lodi7.15+0.6 pts
65Grosseto7.14-1.79 pts
66Siena7.08-0.41 pts
67Treviso6.96-1.09 pts
68Monza e della Brianza6.95+0.87 pts
69Massa-Carrara6.86-3.59 pts
70Pesaro e Urbino6.8-1.11 pts
71Udine6.75-0.32 pts
72Pavia6.62+0.12 pts
73Como6.49-0.76 pts
74Modena6.49+0.41 pts
75Valle d’Aosta/Vallée d’Aoste6.49-0.59 pts
76Mantova6.33-0.34 pts
77Prato6.22-0.44 pts
78Firenze6.16+0.39 pts
79Pisa6.07-0.13 pts
80Venezia5.98-0.49 pts
81Milano5.92-0.5 pts
82Verbano-Cusio-Ossola5.85+0.13 pts
83Livorno5.82-0.57 pts
84Fermo5.79+0.01 pts
85Trieste5.76-1.48 pts
86Padova5.74-0.07 pts
87Savona5.68-2.08 pts
88Piacenza5.68+0.06 pts
89Forlì-Cesena5.6+0.76 pts
90Asti5.57-2.79 pts
91Sondrio5.44-1.24 pts
92Varese5.41-0.55 pts
93Lecco5.29-0.48 pts
94Trento5.02+0.24 pts
95Cremona4.93-0.16 pts
96Parma4.84+0.08 pts
97Cuneo4.79+0.44 pts
98Brescia4.74-0.47 pts
99Vicenza4.7-0.54 pts
100Ravenna4.61-1.15 pts
101Verona4.57-2.45 pts
102Pordenone4.52-0.28 pts
103Bologna4.49-1.13 pts
104Reggio nell’Emilia4-0.21 pts
105Belluno3.88-0.47 pts
106Bergamo3.55-1.29 pts
107Bolzano-Bozen2.88-0.02 pts

Other periods

About this ranking

Unemployed people as a percentage of the labour force, using the survey definition of unemployment: without work, available and looking for work.

More on how it is measured
  • Spain: EPA, aged 16 and over.
  • EU: Labour Force Survey, aged 15 to 74.
  • United States: civilian labour force aged 16 and over, from the Current Population Survey for the nation and from BLS Local Area Unemployment Statistics models, consistent with that survey, for states, counties and cities.
  • United Kingdom regions: Labour Force Survey, aged 16 and over, seasonally adjusted.
  • Canada: Labour Force Survey, aged 15 and over, seasonally adjusted, for the country and the provinces.
  • Australia: Labour Force Survey, aged 15 and over, seasonally adjusted, for the nation and the six states; the ABS publishes no seasonally adjusted series for the Northern Territory and the Australian Capital Territory.
  • New Zealand: Household Labour Force Survey, aged 15 and over, seasonally adjusted for the country and not seasonally adjusted for regional council areas.
  • Norway: Statistics Norway Labour Force Survey, aged 15 to 74, seasonally adjusted monthly figures.
  • Sweden: Labour Force Survey, aged 15 to 74, seasonally adjusted and smoothed (the series Statistics Sweden gives in its monthly release), national.
  • Switzerland: Swiss Labour Force Survey (SLFS), ILO definition, permanent resident population aged 15 and over, seasonally adjusted quarterly averages, national.
  • For other countries, the source may be OECD survey-based rates, annual survey-based rates compiled by the ILO in ILOSTAT, or annual ILO modelled estimates published by the World Bank.
  • ILO modelled estimates cover ages 15 and over.
  • The World series uses those ILO modelled estimates.

Survey-based for national and Eurostat series. Available for Spain, regions, provinces, EU countries, US states, US counties, US cities (those of 25,000 or more and smaller New England cities), United Kingdom regions, Canadian provinces, Australia and its six states, New Zealand with 10 of its regions, Norway, Sweden and Switzerland (national), not Spanish municipalities. For Spanish municipalities use registered_unemployment_rate.

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

Source: Istat. Istat, dataflow 151_914 (Tasso di disoccupazione): unemployment rate, ages 15 to 74, both sexes, annual, by province. https://esploradati.istat.it/SDMXWS/rest/data/IT1,151_914,1.0/A..UNEM_R.9.Y15-74.99.TOTAL.TOTAL?startPeriod=2018. Retrieved 2026-10-12. Licensed under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). No changes made to source values.

Citation styles

The publisher is the author. Invokely is named only as the place the figures were read, where a style asks for it.

APA 7

Istituto Nazionale di Statistica (Istat, Italy). (2026). Istat, dataflow 151_914 (Tasso di disoccupazione): unemployment rate, ages 15 to 74, both sexes, annual, by province (NUTS 3 areas of Italy by unemployment rate, 2019) [Data set]. Retrieved October 12, 2026, from https://esploradati.istat.it/SDMXWS/rest/data/IT1,151_914,1.0/A..UNEM_R.9.Y15-74.99.TOTAL.TOTAL?startPeriod=2018

MLA 9

Istat, dataflow 151_914 (Tasso di disoccupazione): unemployment rate, ages 15 to 74, both sexes, annual, by province, NUTS 3 areas of Italy by unemployment rate, 2019. Istituto Nazionale di Statistica (Istat, Italy), 12 Oct. 2026, https://esploradati.istat.it/SDMXWS/rest/data/IT1,151_914,1.0/A..UNEM_R.9.Y15-74.99.TOTAL.TOTAL?startPeriod=2018. Invokely, https://invokely.ai/rankings/unemployment-rate/italy-provinces?period=2019. Accessed 12 Oct. 2026.

Chicago (author-date)

Istituto Nazionale di Statistica (Istat, Italy). 2026. Istat, dataflow 151_914 (Tasso di disoccupazione): unemployment rate, ages 15 to 74, both sexes, annual, by province. NUTS 3 areas of Italy by unemployment rate, 2019. Dataset. Accessed October 12, 2026. https://esploradati.istat.it/SDMXWS/rest/data/IT1,151_914,1.0/A..UNEM_R.9.Y15-74.99.TOTAL.TOTAL?startPeriod=2018. Also distributed by Invokely, https://invokely.ai/rankings/unemployment-rate/italy-provinces?period=2019.

Harvard

Istituto Nazionale di Statistica (Istat, Italy) (2026) Istat, dataflow 151_914 (Tasso di disoccupazione): unemployment rate, ages 15 to 74, both sexes, annual, by province, NUTS 3 areas of Italy by unemployment rate, 2019 [Dataset]. Available at: https://esploradati.istat.it/SDMXWS/rest/data/IT1,151_914,1.0/A..UNEM_R.9.Y15-74.99.TOTAL.TOTAL?startPeriod=2018, via Invokely: https://invokely.ai/rankings/unemployment-rate/italy-provinces?period=2019 (Accessed: 12 October 2026).

BibTeX
@misc{istituto_nuts_3_areas_of_2019,
  author = {{Istituto Nazionale di Statistica (Istat, Italy)}},
  title = {{Istat, dataflow 151\_914 (Tasso di disoccupazione): unemployment rate, ages 15 to 74, both sexes, annual, by province: NUTS 3 areas of Italy by unemployment rate, 2019}},
  year = {2026},
  howpublished = {Data set},
  url = {https://esploradati.istat.it/SDMXWS/rest/data/IT1,151_914,1.0/A..UNEM_R.9.Y15-74.99.TOTAL.TOTAL?startPeriod=2018},
  urldate = {2026-10-12},
  note = {Accessed via Invokely, https://invokely.ai/rankings/unemployment-rate/italy-provinces?period=2019. Publisher attribution: Source: Istat. Istat, dataflow 151\_914 (Tasso di disoccupazione): unemployment rate, ages 15 to 74, both sexes, annual, by province. https://esploradati.istat.it/SDMXWS/rest/data/IT1,151\_914,1.0/A..UNEM\_R.9.Y15-74.99.TOTAL.TOTAL?startPeriod=2018. Retrieved 2026-10-12. Licensed under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). No changes made to source values.},
}
RIS
TY  - DATA
AU  - Istituto Nazionale di Statistica (Istat, Italy)
TI  - Istat, dataflow 151_914 (Tasso di disoccupazione): unemployment rate, ages 15 to 74, both sexes, annual, by province: NUTS 3 areas of Italy by unemployment rate, 2019
PY  - 2026
DA  - 2026/10/12
PB  - Istituto Nazionale di Statistica (Istat, Italy)
DB  - Invokely
UR  - https://esploradati.istat.it/SDMXWS/rest/data/IT1,151_914,1.0/A..UNEM_R.9.Y15-74.99.TOTAL.TOTAL?startPeriod=2018
L2  - https://invokely.ai/rankings/unemployment-rate/italy-provinces?period=2019
Y2  - 2026/10/12
N1  - Accessed via Invokely, https://invokely.ai/rankings/unemployment-rate/italy-provinces?period=2019.
N1  - Publisher attribution: Source: Istat. Istat, dataflow 151_914 (Tasso di disoccupazione): unemployment rate, ages 15 to 74, both sexes, annual, by province. https://esploradati.istat.it/SDMXWS/rest/data/IT1,151_914,1.0/A..UNEM_R.9.Y15-74.99.TOTAL.TOTAL?startPeriod=2018. Retrieved 2026-10-12. Licensed under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). No changes made to source values.
ER  -
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Questions

Which area has the highest unemployment rate?

Crotone, with 29.02% in 2019, according to Istituto Nazionale di Statistica (Istat, Italy).

Which area has the lowest unemployment rate?

Bolzano-Bozen, with 2.88% in 2019.

Where does this ranking come from?

Every value comes from one source and one period, so the places are comparable: Istituto Nazionale di Statistica (Istat, Italy), Istat, dataflow 151_914 (Tasso di disoccupazione): unemployment rate, ages 15 to 74, both sexes, annual, by province. Retrieved 2026-10-12.

Unemployment rate: other rankings

NUTS 3 areas of Italy: more rankings