Ratio 4 Small regions Large regions Top 20 % richest …
[Pages:4]Regions and Cities at a Glance 2018 ? ITALY
Economic trends in regions
Regional gap in GDP per capita, 2000-16
GDP per capita in USD PPP
55 000
50 000
45 000
40 000
35 000
30 000
25 000
20 000
15 000
10 000
2000
2005
2010
Highest region Bolzano-Bozen 51 567 USD
Italy 33 537 USD
Lowest region Calabria 20 323 USD
2016
Index of regional disparity in GDP per capita, 2016
Top 20 % richest over bottom 20% poorest regions
2016
Ratio 4
Small regions
(TL3)
2000
Large regions (TL2)
3
2
1
Country (number of regions considered)
The already large regional economic disparities in Italy have slightly increased over the last sixteen years. In the province of Bolzano-Bozen the level of GDP per capita was two and a half times higher than in Calabria in 2016.
With a productivity growth of 0.2% per year over the period 2000-16, Bolzano-Bozen experienced the highest productivity growth among Italian regions, much below the OECD average of 1.1% in the same period. With a negative productivity growth of -1% per year in Molise, the gap with Bolzano-Bozen has widened further, especially since 2010.
Notwithstanding a small improvement in recent years, youth unemployment rate in Calabria is still among the highest in the OECD area, with over 55% of youths unemployed. Youth unemployment rates above 50% are also observed in Apulia, Campania and Sicilia, while the province of Bolzano-Bozen shows the lowest rate in the country (10% in 2017).
Productivity trends, most and least dynamic regions, 2000-16
Youth unemployment rate, 15-24 years old, 2007-17
GDP per worker in USD PPP
100 000
95 000
90 000
85 000 Italy
80 000
75 000
70 000
65 000
60 000
2000
2005
2010
Bolzano-Bozen: highest productivity in 2016 and highest productivity growth (+0.2% average annual growth over 2000-16)
Molise: lowest productivity growth (-1% annually)
2016
rate (%) 70 60 50 40 30 20 10 0
2007
OECD
2012
Highest rate Calabria 55.7%
Italy 34.7%
Lowest rate Province of BolzanoBozen 10%
2017
Source: OECD Regional Database. Notes: (1) Figure on regional gap in GDP per capita: OECD regions refer to the administrative tier of subnational government (large regions, Territorial Level 2); Italy is composed of 21 large regions. (2) Figure on index of regional disparity: top (bottom) 20% regions are defined as those with the highest (lowest) GDP per capita until the equivalent of 20% of national population is reached, this indicator provides a harmonised measure to rank OECD countries, using data for small regions (Territorial Level 3) when available. (3) Productivity is measured as GDP per employee at place of work in constant prices, constant Purchasing Power Parities (reference year 2010).
Updated the 5th of March 2019
Differences in well-being across regions
top 20%
Aosta Valley
Top region
Bottom region
Bolzano-Bozen Liguria
Bolzano-Bozen
Lazio
Regions Trento
Basilicata
Aosta Valley
Lombardy Liguria
Campania
Veneto
Trento
middle 60%
Ranking of OECD regions (1 to 402)
bottom 20%
Sicily Calabria
Molise Lombardy
Calabria
Calabria
Campania
Calabria
Sicily
Apulia
Safety
Jobs
Community Environment Income
Life
Access to
Satisfaction services
Housing
Health
Civic
Education
Engagement
Relative ranking of the regions with the best and worst outcomes in the 11 well-being dimensions, with respect to all 402 OECD regions. The eleven dimensions are ordered by decreasing regional disparities in the country. Each well-being dimension is measured by the indicators in the table below.
Italy has the largest regional disparities among OECD countries in terms of unemployment rate and the second largest disparities in terms of safety (homicide rates). While Aosta Valley ranks among the safest 1% of OECD regions, Sicily ranks among the bottom 10%. With respect to other OECD regions, all Italian regions have improved their relative ranking in health (life expectancy) since 2000 and are now in the top 20% healthiest OECD regions, with the exception of Campania and Sicily.
The top performing Italian regions fare better than the OECD median region in most well-being indicators, except for unemployment rate, air pollution, self-evaluation of life satisfaction and the share of labour force with at least a secondary degree.
Safe ty Homicide Rate (per 100 000 people), 2016
Jobs Employment rate 15 to 64 years old (%), 2017 Unemployment rate 15 to 64 years old (%), 2017
Com m unity Perceived social netw ork support (%), 2013
Environm ent Level of air pollution in PM 2.5 (?g/m?), 2015
Incom e Disposable income per capita (in USD PPP), 2016
Life Satisfaction Lif e satisf action (scale f rom 0 to 10), 2013
Access to services Households w ith broadband access (%), 2017
Hous ing Rooms per person, 2016
He alth Life Expectancy at birth (years), 2016 Age adjusted mortality rate (per 1 000 people), 2016
Civic engagem ent Voters in last national election (%), 2017 or lastest year
Education Labour force w ith at least upper secondary education (%), 2017
Country OECD median
Average
region
1.4 57.8 11.5 88.6 19.2 19 552 6.3 79.0 1.7 83.4 6.6 72.9 67.5
1.3 67.7 5.5 91.4 12.4 17 695 6.8 78.0 1.8 80.4 8.1 70.9 81.7
Italian regions Top 20% Bottom 20%
0.4
4.5
70.3
41.0
6.3
21.7
93.0
84.3
12.5
37.4
24 027
13 928
6.7
5.8
80.8
70.0
1.9
1.6
84.0
82.1
6.2
7.3
78.3
62.9
73.2
60.2
Source: OECD Regional Database. Visualisation: . Notes: (1) OECD regions refer to the first administrative tier of subnational government (large regions, Territorial Level 2); Italy is composed of 21 large regions. (2) Household income per capita data are based on USD constant PPP, constant prices (year 2010).
Updated the 5th of March 2019
Metropolitan areas in the national economy
UItnaitlyed States
OECD population is concentrated in cities* Percentage of population in cities, 2016
OECD average
people outside cities
45%
35% 60.7 million people - 55% live in cities
5% 15%
people in cities with population above 500 000
people in cities with population between 250 000 and 500 000
people in cities with population between 50 000 and 250 000
people outside cities
people in cities with population between 50 000 and 250 000
30% 1.2 billion people - 70% live in cities
6%
9%
people in cities with population between 250 000 and 500 000
people in cities
55%
with population above 500 000
Source: OECD Metropolitan Database. Number of cities: 84 in Italy and 1 138 in the OECD.
In Italy, 55% of the population lives in cities of more than 50 000 inhabitants. The share of population in cities with more than 500 000 people is 35% compared to 55% in the OECD area.
Importance of metropolitan areas Cities above 500 000 people, 2016
Contribution of metropolitan areas to GDP growth Cities above 500 000 people, 2001-16
%
Italy
80
70
63%
60
50
40%
40
30
20
10
0
% of national GDP
OECD average
58% 37%
55% 35%
% of national employment
% of national population
Italian metropolitan areas
%
0.1%
0.1
per year
Rest of the country
0.0
-0.1
-0.2
-0.3
-0.2%
per year
Metropolitan areas in Italy account for 40% of national GDP. Between 2001 and 2016, the GDP was growing in metropolitan areas whereas it was shrinking in the rest of the country.
Milan, the richest metropolitan area of Italy in terms of GDP per capita, is close to the top 20% of the 327 OECD metropolitan areas. Four Italian metropolitan areas are among the poorest 20% metropolitan areas.
In terms of PM 2.5 levels, Padua, Milan and Venice are among the 10% most polluted OECD metropolitan areas.
OECD Metropolitan areas ranking Cities above 500 000 people
GDP per capita, 2016
USD PPP 100 000 80 000 60 000 40 000 20 000 0
Top 20% richest metropolitan areas
Bottom 20% poorest metropolitan areas
Air pollution (PM2.5), 2017
Lev el of air pollution in PM 2.5 (?g/m?) 30
20
10
0
Top 20% leastpolluted metropolitan areas
Bottom 20% most polluted metropolitan areas
Source: OECD Metropolitan Database. Note: number of metropolitan areas with a population of over 500 000: 13 in Italy compared to 327 in the OECD. * Note: Cities are defined here as functional urban areas, which are composed by high-density urban centres of at least 50 000 people and their areas of influence (commuting zone). For more information, see: .
Updated the 5th of March 2019
Subnational government finance
Subnational government expenditure by function As a share of total subnational government expenditure, 2016
Italy
00 OECD average
Health 48%
11
18% Health
General public services 14%
22
14% General public services
Other 14%
33
15% Other
Economic affairs 13% Education 6%
Social protection 0.3%
44
14% Economic affairs
55
25% Education
66
14% Social protection
Subnational expenditure per capita:
USD 5 473 77 USD 6 817
Subnational government expenditure amounts to USD 5 473 per capita in Italy compared to an OECD average of USD 6 817. In Italy, this is equivalent to 28.9% of total public expenditure and to 14.3% of GDP. In comparison, across the OECD, subnational government expenditure accounts for 40.4% of total public expenditure and for 16.2% of GDP. Health and general public services are the two largest spending items for subnational governments in Italy: together they represent 62% of subnational expenditure compared to 32% in the OECD area.
In Italy, 52.6% of total public investment was carried out by subnational governments compared to an OECD average of 56.9%.
Role of subnational governments in public investment Subnational government public investment per capita, 2016
USD per capita 1 400
Italy
OECD average
1 200
1 000
800
Total public investment
USD 824 per capita
600
2.1% of GDP
400
Subnational government
investment
200
USD 433 per capita
0
52.6% of public invest.
Total public investment USD 1 278 per capita 3.0% of GDP
Subnational government investment USD 727 per capita 56.9% of public invest.
Source: OECD Subnational Government Structure and Finance Database. Note: The function `Other' includes housing and community amenities, recreation, culture and religion; environment; public order and safety.
OECD Regions and Cities at a Glance 2018
The 2018 edition of OECD Regions and Cities at a Glance shows how regions and cities contribute to national growth and the well-being of societies. It updates its regular set of region-by-region indicators, examining a wide range of policies and trends and identifying those regions that are outperforming or lagging behind in their country.
Consult this publication on line:
Updated the 5th of March 2019
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