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

NUTS 3 areas of Italy by unemployment rate

Messina had the highest unemployment rate of 107 areas in 2022, at 21.24%. Bolzano-Bozen had the lowest, at 2.28%. The median was 6.7%. Source: Istituto Nazionale di Statistica (Istat, Italy).

Keep it in a collection in your library.
Highest21.24Messina
Lowest2.28Bolzano-Bozen
Median6.7107 areas

Top 40 areas, 2022

Messina: 21.24 %Messina21.24Napoli: 20.59 %Napoli20.59Caltanissetta: 19.6 %Caltanissetta19.6Agrigento: 18.92 %Agrigento18.92Palermo: 17.63 %Palermo17.63Foggia: 16.9 %Foggia16.9Crotone: 16.59 %Crotone16.59Catania: 16.01 %Catania16.01Cosenza: 15.63 %Cosenza15.63Siracusa: 14.43 %Siracusa14.43Vibo Valentia: 14.37 %Vibo Valentia14.37Salerno: 14.21 %Salerno14.21Caserta: 14.2 %Caserta14.2Avellino: 13.86 %Avellino13.86Reggio Calabria: 13.67 %Reggio Calabria13.67Cagliari: 13.54 %Cagliari13.54Trapani: 13.36 %Trapani13.36Taranto: 13.34 %Taranto13.34Oristano: 13.15 %Oristano13.15Catanzaro: 13.08 %Catanzaro13.08Brindisi: 12.96 %Brindisi12.96Lecce: 12.8 %Lecce12.8Enna: 12.77 %Enna12.77Sud Sardegna: 12.03 %Sud Sardegna12.03Chieti: 11.2 %Chieti11.2Pescara: 10.99 %Pescara10.99Barletta-Andria-Trani: 10.98 %Barletta-Andria-Trani10.98Campobasso: 10.72 %Campobasso10.72Sassari: 10.25 %Sassari10.25Rieti: 10.12 %Rieti10.12Isernia: 9.98 %Isernia9.98Ragusa: 9.74 %Ragusa9.74Latina: 9.41 %Latina9.41Imperia: 9.21 %Imperia9.21Bari: 9.12 %Bari9.12Massa-Carrara: 8.96 %Massa-Carrara8.96L’Aquila: 8.89 %L’Aquila8.89Frosinone: 8.79 %Frosinone8.79Rovigo: 8.36 %Rovigo8.36Ferrara: 8.1 %Ferrara8.1Messina: 21.24 %Messina21.24Napoli: 20.59 %Napoli20.59Caltanissetta: 19.6 %Caltanissetta19.6Agrigento: 18.92 %Agrigento18.92Palermo: 17.63 %Palermo17.63Foggia: 16.9 %Foggia16.9Crotone: 16.59 %Crotone16.59Catania: 16.01 %Catania16.01Cosenza: 15.63 %Cosenza15.63Siracusa: 14.43 %Siracusa14.43Vibo Valentia: 14.37 %Vibo Valentia14.37Salerno: 14.21 %Salerno14.21Caserta: 14.2 %Caserta14.2Avellino: 13.86 %Avellino13.86Reggio Calabria: 13.67 %Reggio Calabria13.67Cagliari: 13.54 %Cagliari13.54Trapani: 13.36 %Trapani13.36Taranto: 13.34 %Taranto13.34Oristano: 13.15 %Oristano13.15Catanzaro: 13.08 %Catanzaro13.08Brindisi: 12.96 %Brindisi12.96Lecce: 12.8 %Lecce12.8Enna: 12.77 %Enna12.77Sud Sardegna: 12.03 %Sud Sardegna12.03Chieti: 11.2 %Chieti11.2Pescara: 10.99 %Pescara10.99Barletta-Andria-Trani: 10.98 %Barletta-Andria-Trani10.98Campobasso: 10.72 %Campobasso10.72Sassari: 10.25 %Sassari10.25Rieti: 10.12 %Rieti10.12Isernia: 9.98 %Isernia9.98Ragusa: 9.74 %Ragusa9.74Latina: 9.41 %Latina9.41Imperia: 9.21 %Imperia9.21Bari: 9.12 %Bari9.12Massa-Carrara: 8.96 %Massa-Carrara8.96L’Aquila: 8.89 %L’Aquila8.89Frosinone: 8.79 %Frosinone8.79Rovigo: 8.36 %Rovigo8.36Ferrara: 8.1 %Ferrara8.1
%. 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

RankAreas2022 (%)Change on 2021
1Messina21.24-2.67 pts
2Napoli20.59-3.09 pts
3Caltanissetta19.6+3.28 pts
4Agrigento18.92-2.86 pts
5Palermo17.63-1.82 pts
6Foggia16.9-4.87 pts
7Crotone16.59-3.74 pts
8Catania16.01+0.55 pts
9Cosenza15.63-3.15 pts
10Siracusa14.43-6.94 pts
11Vibo Valentia14.37-4.85 pts
12Salerno14.21-0.91 pts
13Caserta14.2-1.15 pts
14Avellino13.86-0.61 pts
15Reggio Calabria13.67-2.93 pts
16Cagliari13.54-2.87 pts
17Trapani13.36-2.39 pts
18Taranto13.34-1.62 pts
19Oristano13.15-1.69 pts
20Catanzaro13.08-3.72 pts
21Brindisi12.96-2.84 pts
22Lecce12.8-2.55 pts
23Enna12.77-5.4 pts
24Sud Sardegna12.03-1.07 pts
25Chieti11.2+1.55 pts
26Pescara10.99-0.22 pts
27Barletta-Andria-Trani10.98-4.62 pts
28Campobasso10.72+0.26 pts
29Sassari10.25-2.77 pts
30Rieti10.12-0.26 pts
31Isernia9.98-2.14 pts
32Ragusa9.74-5.27 pts
33Latina9.41-1.53 pts
34Imperia9.21-1.92 pts
35Bari9.12-0.85 pts
36Massa-Carrara8.96-2.31 pts
37L’Aquila8.89-0.6 pts
38Frosinone8.79-2.09 pts
39Rovigo8.36-0.73 pts
40Ferrara8.1+0.8 pts
41La Spezia8.01-1.77 pts
42Asti7.83+0.38 pts
43Ancona7.76-0.65 pts
44Nuoro7.66+0.39 pts
45Matera7.64-0.29 pts
46Benevento7.45-5.32 pts
47Viterbo7.43-3.43 pts
48Torino7.4-0.86 pts
49Roma7.39-2.38 pts
50Perugia7.29+0.83 pts
51Alessandria7.02+0.16 pts
52Potenza6.78-1.67 pts
53Genova6.76-0.79 pts
54Ascoli Piceno6.7-1.77 pts
55Terni6.7-0.49 pts
56Pisa6.62-0.13 pts
57Lucca6.62-5.31 pts
58Pistoia6.61-3.17 pts
59Novara6.51-1.16 pts
60Piacenza6.49+0.42 pts
61Rimini6.46-0.95 pts
62Sondrio6.44-0.04 pts
63Como6.41-1.09 pts
64Prato6.27-0.79 pts
65Teramo6.27-0.66 pts
66Udine6.19-0.5 pts
67Trieste6.13+0.48 pts
68Macerata6.04-1.41 pts
69Firenze5.99-0.19 pts
70Pavia5.95-1.01 pts
71Verbano-Cusio-Ossola5.89+0.08 pts
72Grosseto5.86-2.18 pts
73Gorizia5.81-1.85 pts
74Milano5.44-1.02 pts
75Ravenna5.4-0.8 pts
76Cremona5.4+0.43 pts
77Vercelli5.39-2.84 pts
78Valle d’Aosta/Vallée d’Aoste5.35-1.91 pts
79Parma5.33-0.42 pts
80Arezzo5.17-1.88 pts
81Treviso5.12+0.21 pts
82Lodi5.09-0.18 pts
83Modena5.09+0.69 pts
84Savona5.01-2.57 pts
85Pesaro e Urbino4.93-0.6 pts
86Livorno4.81-0.64 pts
87Varese4.67-1.88 pts
88Padova4.48-1.08 pts
89Siena4.47-1.41 pts
90Mantova4.46-0.13 pts
91Monza e della Brianza4.34-2.25 pts
92Fermo4.25-0.57 pts
93Venezia4.24-1.78 pts
94Reggio nell’Emilia4.22-0.92 pts
95Brescia4.05-0.84 pts
96Forlì-Cesena4.01-1.48 pts
97Trento3.79-1.02 pts
98Biella3.75-2.27 pts
99Cuneo3.64-0.98 pts
100Bologna3.63-0.94 pts
101Vicenza3.44-1.19 pts
102Bergamo3.39-0.16 pts
103Verona3.1-1.57 pts
104Pordenone2.99-0.26 pts
105Lecco2.82-2.68 pts
106Belluno2.81-1.43 pts
107Bolzano-Bozen2.28-1.55 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, 2022) [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, 2022. 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=2022. 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, 2022. 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=2022.

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, 2022 [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=2022 (Accessed: 12 October 2026).

BibTeX
@misc{istituto_nuts_3_areas_of_2022,
  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, 2022}},
  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=2022. 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, 2022
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=2022
Y2  - 2026/10/12
N1  - Accessed via Invokely, https://invokely.ai/rankings/unemployment-rate/italy-provinces?period=2022.
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  -
Embed this chart

Paste this code into a web page or a blog post. The chart shows the latest figures as they are published, with the source and a link back to this page.

Sites that read oEmbed links, such as WordPress, can show the chart when you paste the link to this page.

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 unemployment rate using official data, and cite the source.
rank_places {"indicator":"unemployment_rate","level":"province","within":"Italy","limit":10}
GET https://invokely.ai/api/v1/rank?indicator=unemployment_rate&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 unemployment rate?

Messina, with 21.24% in 2022, according to Istituto Nazionale di Statistica (Istat, Italy).

Which area has the lowest unemployment rate?

Bolzano-Bozen, with 2.28% in 2022.

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