The spread of coronavirus (COVID-19) in Italy has hit every age group uniformly and claimed over 190 thousand lives since it entered the country. As the chart shows, however, mortality rate appeared to be much higher for the elderly patient. In fact, for people between 80 and 89 years of age, the fatality rate was 6.1 percent. For patients older than 90 years, this figure increased to 12.1 percent. On the other hand, the death rate for individuals under 60 years of age was well below 0.5 percent. Overall, the mortality rate of coronavirus in Italy was 0.7 percent.

Italy's death toll was one of the most tragic in the world. In the last months, however, the country started to see the end of this terrible situation: as of May 2023, roughly 84.7 percent of the total Italian population was fully vaccinated.

Since the first case was detected at the end of January in Italy, coronavirus has been spreading fast. As of May, 2023, the authorities reported over 25.8 million cases in the country. The area mostly hit by the virus is the North, in particular the region of Lombardy.

For a global overview visit Statista's webpage exclusively dedicated to coronavirus, its development, and its impact.

Since the beginning of the 2000s, the number of deaths in Italy remained rather stable. In 2020, on the contrary, the death rate reached 12.5 per 1,000 inhabitants, a notable increase compared to previous years. Four years after the pandemic, the figure remains above 10 deaths per 1,000 residents. From the perspective of the single regions, the highest number of deaths was registered in Liguria, whereas the lowest death rate in the country was reported in Trentino-Alto Adige. Coronavirus in Italy In Italy, the first cases of coronavirus (COVID-19) were registered at the end of January 2020. Then, since the end of February, the virus started to spread among the Italian population. Data on the infected patients show that COVID-19 has hit every age group uniformly, but the mortality rate appears to be much higher for elderly patients. Death rates in Europe Despite being the fourth-largest country in Europe in terms of population size, Italy was the state with the second-highest number of deaths, preceded only by Germany, the most populated country on the continent.

After the outbreak of the coronavirus (COVID-19) in Italy, many people died after contracting the infection. As of May 2023, the mortality rate for female patients in Italy was 0.6 percent, the corresponding figure for male patients was 0.9 percent. The chart shows how this gap was recorded among all age groups.

Italy's death toll was one of the most tragic in the world. In the last months, however, the country saw the end to this terrible situation: as of May 2023, roughly 84.7 percent of the total Italian population was fully vaccinated.

The virus originated in Wuhan, a Chinese city populated by millions and located in the province of Hubei. More statistics and facts about the virus in Italy are available here. For a global overview visit Statista's webpage exclusively dedicated to coronavirus, its development, and its impact.

Italy: Deaths of children five to fourteen years of age per 1000 live births: The latest value from 2022 is 0 deaths per 1000 births, unchanged from 0 deaths per 1000 births in 2021. In comparison, the world average is 3 deaths per 1000 births, based on data from 187 countries. Historically, the average for Italy from 1990 to 2022 is 1 deaths per 1000 births. The minimum value, 0 deaths per 1000 births, was reached in 2008 while the maximum of 1 deaths per 1000 births was recorded in 1990.

From 2007 to 2021, alcohol-related deaths among men in Italy were more frequent for individuals above 55 years of age. Specifically, in 2021 around *** deaths per 100,000 inhabitants were observed for this age group, while this rate was roughly *** for men aged 34 to 54 years. This graph shows the number of alcohol-related deaths in Italy among men from 2007 to 2021 per 100,000 inhabitants, by age group.

Female adult mortality rate of Italy climb by 1.23% from 37.5 deaths per 1,000 female adults in 2020 to 37.9 deaths per 1,000 female adults in 2021. Since the 2.63% decrease in 2019, female adult mortality rate jumped by 6.77% in 2021. Adult mortality rate is the probability of dying between the ages of 15 and 60--that is, the probability of a 15-year-old dying before reaching age 60, if subject to current age-specific mortality rates between those ages.

Italy IT: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70 data was reported at 9.500 % in 2016. This records a decrease from the previous number of 9.800 % for 2015. Italy IT: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70 data is updated yearly, averaging 10.300 % from Dec 2000 (Median) to 2016, with 5 observations. The data reached an all-time high of 13.500 % in 2000 and a record low of 9.500 % in 2016. Italy IT: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Italy – Table IT.World Bank: Health Statistics. Mortality from CVD, cancer, diabetes or CRD is the percent of 30-year-old-people who would die before their 70th birthday from any of cardiovascular disease, cancer, diabetes, or chronic respiratory disease, assuming that s/he would experience current mortality rates at every age and s/he would not die from any other cause of death (e.g., injuries or HIV/AIDS).; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted Average;

UNICEF's country profile for Italy, including under-five mortality rates, child health, education and sanitation data.

Italy IT: Probability of Dying at Age 5-9 Years: per 1000 data was reported at 0.400 Ratio in 2019. This stayed constant from the previous number of 0.400 Ratio for 2018. Italy IT: Probability of Dying at Age 5-9 Years: per 1000 data is updated yearly, averaging 0.500 Ratio from Dec 1990 (Median) to 2019, with 30 observations. The data reached an all-time high of 0.900 Ratio in 1995 and a record low of 0.400 Ratio in 2019. Italy IT: Probability of Dying at Age 5-9 Years: per 1000 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Italy – Table IT.World Bank.WDI: Health Statistics. Probability of dying between age 5-9 years of age expressed per 1,000 children aged 5, if subject to age-specific mortality rates of the specified year.; ; Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Weighted average; Aggregate data for LIC, UMC, LMC, HIC are computed based on the groupings for the World Bank fiscal year in which the data was released by the UN Inter-agency Group for Child Mortality Estimation.

From 2007 to 2021, alcohol-related deaths among women in Italy were more frequent for women above 55 years of age. Specifically, in 2021 around *** deaths per 100,000 inhabitants were observed for this age group, while this rate was **** for women aged 34 to 54 years. This graph shows the number of alcohol-related deaths in Italy among women from 2007 to 2021 per 100,000 inhabitants, by age group.

Italy IT: Probability of Dying at Age 10-14 Years: per 1000 data was reported at 0.500 Ratio in 2019. This stayed constant from the previous number of 0.500 Ratio for 2018. Italy IT: Probability of Dying at Age 10-14 Years: per 1000 data is updated yearly, averaging 0.600 Ratio from Dec 1990 (Median) to 2019, with 30 observations. The data reached an all-time high of 1.000 Ratio in 1995 and a record low of 0.400 Ratio in 2015. Italy IT: Probability of Dying at Age 10-14 Years: per 1000 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Italy – Table IT.World Bank.WDI: Health Statistics. Probability of dying between age 10-14 years of age expressed per 1,000 adolescents age 10, if subject to age-specific mortality rates of the specified year.; ; Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Weighted average; Aggregate data for LIC, UMC, LMC, HIC are computed based on the groupings for the World Bank fiscal year in which the data was released by the UN Inter-agency Group for Child Mortality Estimation.

AbstractIn Italy, approximately 400.000 new cases of malignant tumors are recorded every year. The average of annual deaths caused by tumors, according to the Italian Cancer Registers, is about 3.5 deaths and about 2.5 per 1,000 men and women respectively, for a total of about 3 deaths every 1,000 people. Long-term (at least a decade) and spatially detailed data (up to the municipality scale) are neither easily accessible nor fully available for public consultation by the citizens, scientists, research groups, and associations. Therefore, here we present a ten-year (2009–2018) database on cancer mortality rates (in the form of Standardized Mortality Ratios, SMR) for 23 cancer macro-types in Italy on municipal, provincial, and regional scales. We aim to make easily accessible a comprehensive, ready-to-use, and openly accessible source of data on the most updated status of cancer mortality in Italy for local and national stakeholders, researchers, and policymakers and to provide researchers with ready-to-use data to perform specific studies. Methods For a given locality, year, and cause of death, the SMR is the ratio between the observed number of deaths (Om) and the number of expected deaths (Em): SMR = Om/Em (1) where Om should be an available observational data and Em is estimated as the weighted sum of age-specific population size for the given locality (ni) per age-specific death rates of the reference population (MRi): Em = sum(MRi x ni) (2) MRi could be provided by a public health organization or be estimated as the ratio between the age-specific number of deaths of reference population (Mi) to the age-specific reference population size (Ni): MRi = Mi/Ni (3) Thus, the value of Em is weighted by the age distribution of deaths and population size. SMR assumes value 1 when the number of observed and expected deaths are equal. Following eqns. (1-3), the SMR was computed for single years of the period 2009-2018 and for single cause of death as defined by the International ICD-10 classification system by using the following data: age-specific number of deaths by cause of reference population (i.e., Mi) from the Italian National Institute of Statistics (ISTAT, (http://www.istat.it/en/, last access: 26/01/2022)); age-specific census data on reference population (i.e., Ni) from ISTAT; the observed number of deaths by cause (i.e., Om) from ISTAT; the age-specific census data on population (ni); the SMR was estimated at three different level of aggregation: municipal, provincial (equivalent to the European classification NUTS 3) and regional (i.e., NUTS2). The SMR was also computed for the broad category of malignant tumors (i.e. C00-C979, hereinafter cancer macro-type C), and for the broad category of malignant tumor plus non-malignant tumors (i.e. C00-C979 plus D0-D489, hereinafter cancer macro-type CD). Lower 90% and 95% confidence intervals of 10-year average values were computed according to the Byar method.

Context

Due to the coronavirus epidemic, and following the measures adopted by the Government to contain it, Istat has implemented a series of actions to ensure the continuity and quality of statistical production even in the emergency situation.

Content

TheThe Italian National Institute of Statistics has reorganized data collection by sustainable acquisition techniques, innovative methodologies and use of data sources; it also provided most appropriate solutions to support statistical production processes, in full protection of workers’ health.

Official statistics are fundamental for measuring the evolution of economy and society; their production and dissemination at the service of institutions, policy-makers, families and businesses, therefore, cannot be stopped, but need to be rethought to be ready to provide the country with all necessary answers, and above all to support and monitor the future country’s recovery.

Reference period: 01/01-04/04, Years 2015-2020. Collected data thanks to Istat Survey Deaths of resident population, that uses administrative source to collect main individual characteristics of deaths, and to processing ANPR (National Resident Population Register) source data for deaths referring to the 2020 year.

Processing data of municipalities (1,689) where ANPR data are considered reliable and migrated in ANPR database before January 1st, 2020.

Record: 1. CODES NUTS2 = Istat code of NUTS2
2. CODES NUTS3 = Istat code of NUTS3 3. CODES_NUTS3_LAU2 = Istat code of LAU2 4. NUTS 2 = Region of residence 5. NUTS 3 = Province of residence 6. LAU 2 = Municipality of residence 7. DATA_INIZIO_DIFF = Date of first dissemination of data in 2020 8. WEEK= Week of death (first considered period, from January 1st to January 11th, is 11 days) 9. AGE CLASS = Age class at the time of death 10. MALES_2015: total male deaths in 2015 11. MALES_2016: total male deaths in 2016 12. MALES_2017: total male deaths in 2017 13. MALES_2018: total male deaths in 2018 14. MALES_2019: total male deaths in 2019 15. MALES_2020: total male deaths in 2020 16. FEMALES_2015: total female deaths in 2015 17. FEMALES_2016: total female deaths in 2016 18. FEMALES_2017: total female deaths in 2017 19. FEMALES_2018: total female deaths in 2018 20. FEMALES_2019: total female deaths in 2019 21. FEMALES_2020: total female deaths in 2020 22. TOTAL_2015: total deaths in 2015 23. TOTAL_2016: total deaths in 2016 24. TOTAL_2017: total deaths in 2017 25. TOTAL_2018: total deaths in 2018 26. TOTAL_2019: total deaths in 2019 27. TOTAL_2020: total deaths in 2020

Acknowledgements

https://www.istat.it

https://www.istat.it/en/archivio/240106

Inspiration

These data also provides most appropriate solutions to support statistical production processes, in full protection of workers’ health.

After entering Italy, coronavirus (COVID-19) has been spreading fast. An analysis of the individuals who died after contracting the virus revealed that the vast majority of deaths occurred among the elderly. As of May, 2023, roughly 85 percent were patients aged 70 years and older.

Italy's death toll was one of the most tragic in the world. In the last months, however, the country saw the end to this terrible situation: as of May 2023, roughly 84.7 percent of the total Italian population was fully vaccinated.

As of May, 2023, the total number of cases reported in the country were over 25.8 million. The North of the country was the mostly hit area, and the region with the highest number of cases was Lombardy.

For a global overview visit Statista's webpage exclusively dedicated to coronavirus, its development, and its impact.

Italy IT: Mortality Rate: Infant: Male: per 1000 Live Births data was reported at 3.000 Ratio in 2016. This records a decrease from the previous number of 3.100 Ratio for 2015. Italy IT: Mortality Rate: Infant: Male: per 1000 Live Births data is updated yearly, averaging 3.700 Ratio from Dec 1990 (Median) to 2016, with 5 observations. The data reached an all-time high of 9.200 Ratio in 1990 and a record low of 3.000 Ratio in 2016. Italy IT: Mortality Rate: Infant: Male: per 1000 Live Births data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Italy – Table IT.World Bank: Health Statistics. Infant mortality rate, male is the number of male infants dying before reaching one year of age, per 1,000 male live births in a given year.; ; Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Weighted Average; Given that data on the incidence and prevalence of diseases are frequently unavailable, mortality rates are often used to identify vulnerable populations. Moreover, they are among the indicators most frequently used to compare socioeconomic development across countries. Under-five mortality rates are higher for boys than for girls in countries in which parental gender preferences are insignificant. Under-five mortality captures the effect of gender discrimination better than infant mortality does, as malnutrition and medical interventions have more significant impacts to this age group. Where female under-five mortality is higher, girls are likely to have less access to resources than boys.

In 2024, the Italian region with the highest death rate was Liguria. By contrast, Trentino-South Tyrol was the area where the lowest death rate was registered in the whole country. In the period between 2010 and 2019, the annual death rate in Italy remained rather stable. In 2020, instead, the death rate increased compared to previous years. Coronavirus deaths In Italy, the first cases of coronavirus (COVID-19) were registered at the end of January 2020. Then, since the end of February, the virus started to spread among the Italian population. As of October 2021, Italy recorded 4.7 million cases of coronavirus (COVID-19) and over 130,000 deaths. Death rates in other European countries In 2019, Italy was the European country which registered the second-highest number of deaths. The state with the highest number of deceased was Germany, which is also the most populous country on the continent. On the contrary, Italy ranked only fourth, considering the size of the population.

Italy IT: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Female data was reported at 7.200 NA in 2016. This records a decrease from the previous number of 7.300 NA for 2015. Italy IT: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Female data is updated yearly, averaging 7.500 NA from Dec 2000 (Median) to 2016, with 5 observations. The data reached an all-time high of 9.300 NA in 2000 and a record low of 7.200 NA in 2016. Italy IT: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Female data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Italy – Table IT.World Bank.WDI: Health Statistics. Mortality from CVD, cancer, diabetes or CRD is the percent of 30-year-old-people who would die before their 70th birthday from any of cardiovascular disease, cancer, diabetes, or chronic respiratory disease, assuming that s/he would experience current mortality rates at every age and s/he would not die from any other cause of death (e.g., injuries or HIV/AIDS).; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;

Italy IT: Mortality Rate: Infant: Female: per 1000 Live Births data was reported at 2.500 Ratio in 2016. This records a decrease from the previous number of 2.600 Ratio for 2015. Italy IT: Mortality Rate: Infant: Female: per 1000 Live Births data is updated yearly, averaging 3.100 Ratio from Dec 1990 (Median) to 2016, with 5 observations. The data reached an all-time high of 7.500 Ratio in 1990 and a record low of 2.500 Ratio in 2016. Italy IT: Mortality Rate: Infant: Female: per 1000 Live Births data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Italy – Table IT.World Bank: Health Statistics. Infant mortality rate, female is the number of female infants dying before reaching one year of age, per 1,000 female live births in a given year.; ; Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Weighted Average; Given that data on the incidence and prevalence of diseases are frequently unavailable, mortality rates are often used to identify vulnerable populations. Moreover, they are among the indicators most frequently used to compare socioeconomic development across countries. Under-five mortality rates are higher for boys than for girls in countries in which parental gender preferences are insignificant. Under-five mortality captures the effect of gender discrimination better than infant mortality does, as malnutrition and medical interventions have more significant impacts to this age group. Where female under-five mortality is higher, girls are likely to have less access to resources than boys.

Background and aimPatients with interstitial lung diseases, including asbestosis, showed high susceptibility to the SARS-CoV-2 virus and a high risk of severe COVID-19 symptoms. Italy, highly impacted by asbestos-related diseases, in 2020 was among the European countries with the highest number of COVID-19 cases. The mortality related to malignant mesotheliomas and asbestosis in 2020 and its relationship with COVID-19 in Italy are investigated.MethodsAll death certificates involving malignant mesotheliomas or asbestosis in 2010–2020 and those involving COVID-19 in 2020 were retrieved from the National Registry of Causes of Death. Annual mortality rates and rate ratios (RRs) of 2020 and 2010–2014 compared to 2015–2019 were calculated. The association between malignant pleural mesothelioma (MPM) and asbestosis with COVID-19 in deceased adults ≥80 years old was evaluated through a logistic regression analysis (odds ratios: ORs), using MPM and asbestosis deaths COVID-19-free as the reference group. The hospitalization for asbestosis in 2010–2020, based on National Hospital Discharge Database, was analyzed.ResultsIn 2020, 746,343 people died; out of them, 1,348 involved MPM and 286 involved asbestosis. Compared to the period 2015–2019, the mortality involving the two diseases decreased in age groups below 80 years; meanwhile, an increasing trend was observed in subjects aged 80 years and older, with a relative mortality risks of 1.10 for MPM and 1.17 for asbestosis. In subjects aged ≥80 years, deaths with COVID-19 were less likely to have MPM in both genders (men: OR = 0.22; women: OR = 0.44), while no departure was observed for asbestosis. A decrease in hospitalization in 2020 with respect to those in 2010–2019 in all age groups, both considering asbestosis as the primary or secondary diagnosis, was observed.ConclusionsThe increasing mortality involving asbestosis and, even if of slight entity, MPM, observed in people aged over 80 years during the 1st year of the COVID-19 pandemic, aligned in part with the previous temporal trend, could be due to several factors. Although no positive association with COVID-19 mortality was observed, the decrease in hospitalizations for asbestosis among individuals aged over 80 years, coupled with the increase in deaths, highlights the importance of enhancing home-based assistance during the pandemic periods for vulnerable patients with asbestos-related conditions.

IntroductionStudies have analyzed the effects of industrial installations on the environment and human health in Taranto, Southern Italy. Literature documented associations between different variables and dementia mortality among both women and men. The present study aims to investigate the associations between sex, environment, age, disease duration, pandemic years, anti-dementia drugs, and death rate.MethodsData from the regional medication registry were used. All women and men with an anti-dementia medication between 2015 and 2021 were included and followed-up to 2021. Bayesian mixed effects logistic and Cox regression models with time varying exposures were fitted using integrated nested Laplace approximations and adjusting for patients and therapy characteristics.ResultsA total of 7,961 person-years were observed. Variables associated with lower prevalence of acetylcholinesterase inhibitors (AChEIs) medication were male sex (OR 0.63, 95% CrI 0.42–0.96), age 70–79 years (OR 0.17, 95% CrI 0.06–0.47) and ≥ 80 years (OR 0.08, 95% CrI 0.03–0.23), disease duration of 2–3 years (OR 0.43, 95% CrI 0.32–0.56) and 4–6 years (OR 0.21, 95% CrI 0.13–0.33), and pandemic years 2020 (OR 0.50, 95% CrI 0.37–0.67) and 2021 (OR 0.47, 95% CrI 0.33–0.65). Variables associated with higher mortality were male sex (HR 2.14, 95% CrI 1.75–2.62), residence in the contaminated site of national interest (SIN) (HR 1.25, 95% CrI 1.02–1.53), age ≥ 80 years (HR 6.06, 95% CrI 1.94–18.95), disease duration of 1 year (HR 1.50, 95% CrI 1.12–2.01), 2–3 years (HR 1.90, 95% CrI 1.45–2.48) and 4–6 years (HR 2.21, 95% CrI 1.60.3.07), and pandemic years 2020 (HR 1.38, 95% CrI 1.06–1.80) and 2021 (HR 1.56, 95% CrI 1.21–2.02). Variables associated with lower mortality were therapy with AChEIs alone (HR 0.69, 95% CrI 0.56–0.86) and in combination with memantine (HR 0.54, 95% CrI 0.37–0.81).DiscussionMale sex, age, disease duration, and pandemic years appeared to be associated with lower AChEIs medications. Male sex, residence in the SIN of Taranto, age, disease duration, and pandemic years seemed to be associated with an increased death rate, while AChEIs medication seemed to be associated with improved survival rate.