WorldPop produces different types of gridded population count datasets, depending on the methods used and end application. An overview of the data can be found in Tatem et al, and a description of the modelling methods used found in Stevens et al. The 'Global per country 2000-2020' datasets represent the outputs from a project focused on construction of consistent 100m resolution population count datasets for all countries of the World for each year 2000-2020. These efforts necessarily involved some shortcuts for consistency. The 'individual countries' datasets represent older efforts to map populations for each country separately, using a set of tailored geospatial inputs and differing methods and time periods. The 'whole continent' datasets are mosaics of the individual countries datasets

WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton; Department of Geography and Geosciences, University of Louisville; Departement de Geographie, Universite de Namur) and Center for International Earth Science Information Network (CIESIN), Columbia University (2018). Global High Resolution Population Denominators Project - Funded by The Bill and Melinda Gates Foundation (OPP1134076). https://dx.doi.org/10.5258/SOTON/WP00645

Italy IT: Population: as % of Total: Female: Aged 15-64 data was reported at 61.834 % in 2017. This records a decrease from the previous number of 62.041 % for 2016. Italy IT: Population: as % of Total: Female: Aged 15-64 data is updated yearly, averaging 64.829 % from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 67.151 % in 1990 and a record low of 61.834 % in 2017. Italy IT: Population: as % of Total: Female: Aged 15-64 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: Population and Urbanization Statistics. Female population between the ages 15 to 64 as a percentage of the total female population. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship.; ; World Bank staff estimates based on age/sex distributions of United Nations Population Division's World Population Prospects: 2017 Revision.; Weighted average; Relevance to gender indicator: Knowing how many girls, adolescents and women there are in a population helps a country in determining its provision of services.

The total population in Italy was estimated at 58.9 million people in 2025, according to the latest census figures and projections from Trading Economics. This dataset provides the latest reported value for - Italy Population - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Comprehensive socio-economic dataset for Italy including population demographics, economic indicators, geographic data, and social statistics. This dataset covers key metrics such as GDP, population density, area, capital city, and regional classifications.

Italy IT: Population: Female: Ages 30-34: % of Female Population data was reported at 5.195 % in 2017. This records a decrease from the previous number of 5.284 % for 2016. Italy IT: Population: Female: Ages 30-34: % of Female Population data is updated yearly, averaging 6.970 % from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 7.801 % in 1997 and a record low of 5.195 % in 2017. Italy IT: Population: Female: Ages 30-34: % of Female Population 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: Population and Urbanization Statistics. Female population between the ages 30 to 34 as a percentage of the total female population.; ; World Bank staff estimates based on age/sex distributions of United Nations Population Division's World Population Prospects: 2017 Revision.; ;

FocusEconomics' economic data is provided by official state statistical reporting agencies as well as our global network of leading banks, think tanks and consultancies. Our datasets provide not only historical data, but also Consensus Forecasts and individual forecasts from the aformentioned global network of economic analysts. This includes the latest forecasts as well as historical forecasts going back to 2010. Our global network consists of over 1000 world-renowned economic analysts from which we calculate our Consensus Forecasts. In this specific dataset you will find economic data for Italy Population.

This dataset provides world health statistics indicators for Italy. It includes different indicators for heath (Population living in urban areas, Literacy rate among adults aged, Civil registration coverage of births etc).

IT: Completeness of Death Registration with Cause-of-Death Information data was reported at 100.000 % in 2010. This stayed constant from the previous number of 100.000 % for 2009. IT: Completeness of Death Registration with Cause-of-Death Information data is updated yearly, averaging 98.100 % from Dec 1992 (Median) to 2010, with 5 observations. The data reached an all-time high of 100.000 % in 2010 and a record low of 95.200 % in 1992. IT: Completeness of Death Registration with Cause-of-Death Information 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: Population and Urbanization Statistics. Completeness of death registration is the estimated percentage of deaths that are registered with their cause of death information in the vital registration system of a country.; ; World Health Organization, Global Health Observatory Data Repository/World Health Statistics (http://apps.who.int/gho/data/node.main.1?lang=en).; Weighted average;

Abstract

The fourth edition of the Global Findex offers a lens into how people accessed and used financial services during the COVID-19 pandemic, when mobility restrictions and health policies drove increased demand for digital services of all kinds.

The Global Findex is the world's most comprehensive database on financial inclusion. It is also the only global demand-side data source allowing for global and regional cross-country analysis to provide a rigorous and multidimensional picture of how adults save, borrow, make payments, and manage financial risks. Global Findex 2021 data were collected from national representative surveys of about 128,000 adults in more than 120 economies. The latest edition follows the 2011, 2014, and 2017 editions, and it includes a number of new series measuring financial health and resilience and contains more granular data on digital payment adoption, including merchant and government payments.

The Global Findex is an indispensable resource for financial service practitioners, policy makers, researchers, and development professionals.

Geographic coverage

National coverage

Analysis unit

Individual

Kind of data

Observation data/ratings [obs]

Sampling procedure

In most developing economies, Global Findex data have traditionally been collected through face-to-face interviews. Surveys are conducted face-to-face in economies where telephone coverage represents less than 80 percent of the population or where in-person surveying is the customary methodology. However, because of ongoing COVID-19 related mobility restrictions, face-to-face interviewing was not possible in some of these economies in 2021. Phone-based surveys were therefore conducted in 67 economies that had been surveyed face-to-face in 2017. These 67 economies were selected for inclusion based on population size, phone penetration rate, COVID-19 infection rates, and the feasibility of executing phone-based methods where Gallup would otherwise conduct face-to-face data collection, while complying with all government-issued guidance throughout the interviewing process. Gallup takes both mobile phone and landline ownership into consideration. According to Gallup World Poll 2019 data, when face-to-face surveys were last carried out in these economies, at least 80 percent of adults in almost all of them reported mobile phone ownership. All samples are probability-based and nationally representative of the resident adult population. Phone surveys were not a viable option in 17 economies that had been part of previous Global Findex surveys, however, because of low mobile phone ownership and surveying restrictions. Data for these economies will be collected in 2022 and released in 2023.

In economies where face-to-face surveys are conducted, the first stage of sampling is the identification of primary sampling units. These units are stratified by population size, geography, or both, and clustering is achieved through one or more stages of sampling. Where population information is available, sample selection is based on probabilities proportional to population size; otherwise, simple random sampling is used. Random route procedures are used to select sampled households. Unless an outright refusal occurs, interviewers make up to three attempts to survey the sampled household. To increase the probability of contact and completion, attempts are made at different times of the day and, where possible, on different days. If an interview cannot be obtained at the initial sampled household, a simple substitution method is used. Respondents are randomly selected within the selected households. Each eligible household member is listed, and the hand-held survey device randomly selects the household member to be interviewed. For paper surveys, the Kish grid method is used to select the respondent. In economies where cultural restrictions dictate gender matching, respondents are randomly selected from among all eligible adults of the interviewer's gender.

In traditionally phone-based economies, respondent selection follows the same procedure as in previous years, using random digit dialing or a nationally representative list of phone numbers. In most economies where mobile phone and landline penetration is high, a dual sampling frame is used.

The same respondent selection procedure is applied to the new phone-based economies. Dual frame (landline and mobile phone) random digital dialing is used where landline presence and use are 20 percent or higher based on historical Gallup estimates. Mobile phone random digital dialing is used in economies with limited to no landline presence (less than 20 percent).

For landline respondents in economies where mobile phone or landline penetration is 80 percent or higher, random selection of respondents is achieved by using either the latest birthday or household enumeration method. For mobile phone respondents in these economies or in economies where mobile phone or landline penetration is less than 80 percent, no further selection is performed. At least three attempts are made to reach a person in each household, spread over different days and times of day.

Sample size for Italy is 1000.

Mode of data collection

Landline and mobile telephone

Research instrument

Questionnaires are available on the website.

Sampling error estimates

Estimates of standard errors (which account for sampling error) vary by country and indicator. For country-specific margins of error, please refer to the Methodology section and corresponding table in Demirgüç-Kunt, Asli, Leora Klapper, Dorothe Singer, Saniya Ansar. 2022. The Global Findex Database 2021: Financial Inclusion, Digital Payments, and Resilience in the Age of COVID-19. Washington, DC: World Bank.

Italy IT: Population: Male: Ages 35-39: % of Male Population data was reported at 6.431 % in 2017. This records a decrease from the previous number of 6.645 % for 2016. Italy IT: Population: Male: Ages 35-39: % of Male Population data is updated yearly, averaging 7.132 % from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 8.411 % in 2005 and a record low of 6.321 % in 1980. Italy IT: Population: Male: Ages 35-39: % of Male Population 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: Population and Urbanization Statistics. Male population between the ages 35 to 39 as a percentage of the total male population.; ; World Bank staff estimates based on age/sex distributions of United Nations Population Division's World Population Prospects: 2017 Revision.; ;

IT: Population in Largest City data was reported at 3,755,830.000 Person in 2017. This records an increase from the previous number of 3,737,750.000 Person for 2016. IT: Population in Largest City data is updated yearly, averaging 3,416,411.000 Person from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 3,755,830.000 Person in 2017 and a record low of 2,455,581.000 Person in 1960. IT: Population in Largest City 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: Population and Urbanization Statistics. Population in largest city is the urban population living in the country's largest metropolitan area.; ; United Nations, World Urbanization Prospects.; ;

IT: Rural Population data was reported at 18,603,212.000 Person in 2017. This records a decrease from the previous number of 18,724,196.000 Person for 2016. IT: Rural Population data is updated yearly, averaging 18,831,554.500 Person from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 20,400,656.000 Person in 1960 and a record low of 18,603,212.000 Person in 2017. IT: Rural Population 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: Population and Urbanization Statistics. Rural population refers to people living in rural areas as defined by national statistical offices. It is calculated as the difference between total population and urban population. Aggregation of urban and rural population may not add up to total population because of different country coverages.; ; World Bank staff estimates based on the United Nations Population Division's World Urbanization Prospects: 2014 Revision.; Sum;

Italy IT: Population: as % of Total: Male data was reported at 48.735 % in 2017. This records an increase from the previous number of 48.702 % for 2016. Italy IT: Population: as % of Total: Male data is updated yearly, averaging 48.649 % from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 48.750 % in 1972 and a record low of 48.511 % in 1999. Italy IT: Population: as % of Total: Male 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: Population and Urbanization Statistics. Male population is the percentage of the population that is male. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship.; ; World Bank staff estimates based on age/sex distributions of United Nations Population Division's World Population Prospects: 2017 Revision.; Weighted average;

Italy IT: Population: Male: Ages 25-29: % of Male Population data was reported at 5.312 % in 2017. This records a decrease from the previous number of 5.338 % for 2016. Italy IT: Population: Male: Ages 25-29: % of Male Population data is updated yearly, averaging 7.329 % from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 8.432 % in 1992 and a record low of 5.312 % in 2017. Italy IT: Population: Male: Ages 25-29: % of Male Population 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: Population and Urbanization Statistics. Male population between the ages 25 to 29 as a percentage of the total male population.; ; World Bank staff estimates based on age/sex distributions of United Nations Population Division's World Population Prospects: 2017 Revision.; ;

Italy IT: Rural Population: % of Total Population data was reported at 29.856 % in 2017. This records a decrease from the previous number of 30.145 % for 2016. Italy IT: Rural Population: % of Total Population data is updated yearly, averaging 33.184 % from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 40.639 % in 1960 and a record low of 29.856 % in 2017. Italy IT: Rural Population: % of Total Population 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: Population and Urbanization Statistics. Rural population refers to people living in rural areas as defined by national statistical offices. It is calculated as the difference between total population and urban population.; ; World Bank staff estimates based on the United Nations Population Division's World Urbanization Prospects: 2018 Revision.; Weighted average;

Population: Italy: Total data was reported at 59.258 Person mn in 2020. This records a decrease from the previous number of 59.641 Person mn for 2019. Population: Italy: Total data is updated yearly, averaging 52.331 Person mn from Dec 1911 (Median) to 2020, with 110 observations. The data reached an all-time high of 60.796 Person mn in 2014 and a record low of 37.059 Person mn in 1911. Population: Italy: Total data remains active status in CEIC and is reported by Italian National Institute of Statistics. The data is categorized under Global Database’s Italy – Table IT.G002: Population: by Age.

Italy IT: Birth Rate: Crude: per 1000 People data was reported at 7.800 Ratio in 2016. This records a decrease from the previous number of 8.000 Ratio for 2015. Italy IT: Birth Rate: Crude: per 1000 People data is updated yearly, averaging 10.000 Ratio from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 19.700 Ratio in 1964 and a record low of 7.800 Ratio in 2016. Italy IT: Birth Rate: Crude: per 1000 People 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: Population and Urbanization Statistics. Crude birth rate indicates the number of live births occurring during the year, per 1,000 population estimated at midyear. Subtracting the crude death rate from the crude birth rate provides the rate of natural increase, which is equal to the rate of population change in the absence of migration.; ; (1) United Nations Population Division. World Population Prospects: 2017 Revision. (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) United Nations Statistical Division. Population and Vital Statistics Reprot (various years), (5) U.S. Census Bureau: International Database, and (6) Secretariat of the Pacific Community: Statistics and Demography Programme.; Weighted average;

Population: Italy: Age 25 to 29 data was reported at 3.249 Person mn in 2017. This records a decrease from the previous number of 3.250 Person mn for 2016. Population: Italy: Age 25 to 29 data is updated yearly, averaging 3.505 Person mn from Dec 2001 (Median) to 2017, with 17 observations. The data reached an all-time high of 4.230 Person mn in 2001 and a record low of 3.249 Person mn in 2017. Population: Italy: Age 25 to 29 data remains active status in CEIC and is reported by National Institute of Statistics. The data is categorized under Global Database’s Italy – Table IT.G002: Population: by Age.

Population: Italy: Male: Age 30 to 34 data was reported at 1.712 Person mn in 2017. This records a decrease from the previous number of 1.743 Person mn for 2016. Population: Italy: Male: Age 30 to 34 data is updated yearly, averaging 2.119 Person mn from Dec 2001 (Median) to 2017, with 17 observations. The data reached an all-time high of 2.343 Person mn in 2004 and a record low of 1.712 Person mn in 2017. Population: Italy: Male: Age 30 to 34 data remains active status in CEIC and is reported by National Institute of Statistics. The data is categorized under Global Database’s Italy – Table IT.G002: Population: by Age.

Italy Population: South data was reported at 13.988 Person mn in Jun 2018. This records a decrease from the previous number of 13.993 Person mn for May 2018. Italy Population: South data is updated monthly, averaging 14.086 Person mn from Jan 2003 (Median) to Jun 2018, with 186 observations. The data reached an all-time high of 14.188 Person mn in Sep 2011 and a record low of 13.949 Person mn in Jan 2003. Italy Population: South data remains active status in CEIC and is reported by National Institute of Statistics. The data is categorized under Global Database’s Italy – Table IT.G001: Population.