About this dataset

Context

The dataset tabulates the Italy town population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of Italy town across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.

Key observations

In 2023, the population of Italy town was 1,109, a 0.09% decrease year-by-year from 2022. Previously, in 2022, Italy town population was 1,110, an increase of 0.82% compared to a population of 1,101 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Italy town increased by 9. In this period, the peak population was 1,170 in the year 2017. The numbers suggest that the population has already reached its peak and is showing a trend of decline. Source: U.S. Census Bureau Population Estimates Program (PEP).

Content

When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

Data Coverage:

• From 2000 to 2023

Variables / Data Columns

• Year: This column displays the data year (Measured annually and for years 2000 to 2023)
• Population: The population for the specific year for the Italy town is shown in this column.
• Year on Year Change: This column displays the change in Italy town population for each year compared to the previous year.
• Change in Percent: This column displays the year on year change as a percentage. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Italy town Population by Year. You can refer the same here

About this dataset

Context

The dataset tabulates the data for the Italy, TX population pyramid, which represents the Italy population distribution across age and gender, using estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. It lists the male and female population for each age group, along with the total population for those age groups. Higher numbers at the bottom of the table suggest population growth, whereas higher numbers at the top indicate declining birth rates. Furthermore, the dataset can be utilized to understand the youth dependency ratio, old-age dependency ratio, total dependency ratio, and potential support ratio.

Key observations

• Youth dependency ratio, which is the number of children aged 0-14 per 100 persons aged 15-64, for Italy, TX, is 44.3.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Italy, TX, is 28.5.
• Total dependency ratio for Italy, TX is 72.9.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Italy, TX is 3.5.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group for the Italy population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Italy for the selected age group is shown in the following column.
• Population (Female): The female population in the Italy for the selected age group is shown in the following column.
• Total Population: The total population of the Italy for the selected age group is shown in the following column.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Italy Population by Age. You can refer the same here

Rome is the most populous city in Italy. With 2.75 million inhabitants, the capital of the country put ahead Milan and Naples. Compared to the number of citizens in 2012, the resident population of Rome increased by over 140,000 individuals. Regional data Rome is located in the center of Italy in the Lazio region. Lazio is the second-largest region in terms of population size after Lombardy. In 2024, the region counts roughly 5.7 million inhabitants, whereas Lombardy has over ten million individuals. The third-largest region is Campania, with 5.6 million people. Naples, the major center of Campania, has around 910,000 inhabitants at the beginning of 2024. Nevertheless, this city was, back in the 19th century, one of the largest cities in Western Europe. Tourism in Rome The Eternal City is also the main tourist destination in Italy and was the eighth most-visited city in Europe. The largest groups of international visitors in Rome came from the United States of America, Japan, and the United Kingdom. Every year, more and more tourists also enjoy the best-known tourist attractions in Rome, like the Colosseum, the Roman Forum, and the Palatine Hill, which together recorded almost ten million visitors in 2022.

Argentina has the largest Italian population outside of Italy, with around 1.17 million Italians residing in the South American country as of 2023. This community represented almost one fifth of all citizens residing outside the Republic, seven million. Germany hosted the second-largest community, with about 900,000 Italians, while in Brazil lived around 790,000 people with Italian citizenship. In total, three million Italians resided in the Americas, whereas 3.5 million in other European countries. In the nineteenth and twentieth centuries, Argentina was one of the main destinations for Italian emigrants, in particular in the early 1900s. Increasing tendency to emigrate  Between 2006 and 2020, the number of Italians living abroad constantly increased. As of 2020, over five million Italians lived outside their homeland. Data related to the educational level of the emigrated population show that one third of the academics decided to leave the country. In 2017, 32.5 percent of Italians holding a university degree did not reside in Italy. Better jobs and lower taxes  When asked about the reasons why leaving their country, the opportunity to pay lower taxes and have better jobs played an important role. Indeed, about 43 percent of Italians declared to be ready to leave Italy for a place where taxes were lower. In addition, roughly 37 percent could leave Italy for better working chances.

About this dataset

Context

The dataset tabulates the Italy town population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for Italy town. The dataset can be utilized to understand the population distribution of Italy town by age. For example, using this dataset, we can identify the largest age group in Italy town.

Key observations

The largest age group in Italy, New York was for the group of age 65 to 69 years years with a population of 139 (13.30%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Italy, New York was the 85 years and over years with a population of 4 (0.38%). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group in consideration
• Population: The population for the specific age group in the Italy town is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Italy town total population. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Italy town Population by Age. You can refer the same here

Argentina is the country with the second largest Italian population in the world. As of January 2019, around 842.6 thousand Italian citizens who were residents abroad were living in Argentina. This represents almost 16 percent of all Italians living abroad worldwide, according to the Registry of Italian Residents Abroad. Brazil was the second favorite Latin American destination for Italians who lived abroad, with over 447 thousand Italian citizens registered there.

All cities with a population > 1000 or seats of adm div (ca 80.000)Sources and ContributionsSources : GeoNames is aggregating over hundred different data sources. Ambassadors : GeoNames Ambassadors help in many countries. Wiki : A wiki allows to view the data and quickly fix error and add missing places. Donations and Sponsoring : Costs for running GeoNames are covered by donations and sponsoring.Enrichment:add country name

As of January 2021, about 2.3 million Italians lived in the American continent. The largest part of them had been living there for more than ten years (1.4 million individuals). Furthermore, over 400 thousand people were recorded living in America for five to ten years.

Argentina was the main destination country of Italian migrants. This South American state also hosted the largest population of Italian residents abroad.

About this dataset

Context

The dataset tabulates the population of Italy town by race. It includes the population of Italy town across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of Italy town across relevant racial categories.

Key observations

The percent distribution of Italy town population by race (across all racial categories recognized by the U.S. Census Bureau): 95.54% are white, 0.65% are American Indian and Alaska Native, 0.98% are Native Hawaiian and other Pacific Islander and 2.83% are multiracial.

https://i.neilsberg.com/ch/italy-ny-population-by-race.jpeg" alt="Italy town population by race">

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race: This column displays the racial categories (excluding ethnicity) for the Italy town
• Population: The population of the racial category (excluding ethnicity) in the Italy town is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Italy town total population. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Italy town Population by Race & Ethnicity. You can refer the same here

In the nineteenth and twentieth centuries, Brazil was one of the most common destinations for Italian emigrants. At the end of the nineteenth century, the number of Italians who emigrated to Brazil peaked, particularly in 1891, where 108.4 thousand people moved to the South American country. During the First World War, emigration to Brazil declined, reaching its lowest value in 1918 with just 361 migrants, however it did subsequently increase again after the war, although not to its pre-war levels.

As of 2018, Brazil hosted the fourth largest Italian population outside of Italy with over half million Italians residing in the South American country.

About this dataset

Context

The dataset tabulates the population of Italy town by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Italy town. The dataset can be utilized to understand the population distribution of Italy town by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Italy town. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Italy town.

Key observations

Largest age group (population): Male # 65-69 years (80) | Female # 55-59 years (66). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.

Variables / Data Columns

• Age Group: This column displays the age group for the Italy town population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Italy town is shown in the following column.
• Population (Female): The female population in the Italy town is shown in the following column.
• Gender Ratio: Also known as the sex ratio, this column displays the number of males per 100 females in Italy town for each age group.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Italy town Population by Gender. You can refer the same here

In the nineteenth and twentieth centuries, the United States was one of the main destinations for Italian emigrants. The largest number of people leaving Italy for the U.S. was registered in **********************************************, particularly in ****, before a sharp decline occurred in 1914 due to the First World War.Nowadays, the U.S. is still one of the main destinations for Italians. More specifically, as of January 2021, *** percent of all Italians moving abroad over the last year went to the United States.

A data set of cross-nationally comparable microdata samples for 15 Economic Commission for Europe (ECE) countries (Bulgaria, Canada, Czech Republic, Estonia, Finland, Hungary, Italy, Latvia, Lithuania, Romania, Russia, Switzerland, Turkey, UK, USA) based on the 1990 national population and housing censuses in countries of Europe and North America to study the social and economic conditions of older persons. These samples have been designed to allow research on a wide range of issues related to aging, as well as on other social phenomena. A common set of nomenclatures and classifications, derived on the basis of a study of census data comparability in Europe and North America, was adopted as a standard for recoding. This series was formerly called Dynamics of Population Aging in ECE Countries. The recommendations regarding the design and size of the samples drawn from the 1990 round of censuses envisaged: (1) drawing individual-based samples of about one million persons; (2) progressive oversampling with age in order to ensure sufficient representation of various categories of older people; and (3) retaining information on all persons co-residing in the sampled individual''''s dwelling unit. Estonia, Latvia and Lithuania provided the entire population over age 50, while Finland sampled it with progressive over-sampling. Canada, Italy, Russia, Turkey, UK, and the US provided samples that had not been drawn specially for this project, and cover the entire population without over-sampling. Given its wide user base, the US 1990 PUMS was not recoded. Instead, PAU offers mapping modules, which recode the PUMS variables into the project''''s classifications, nomenclatures, and coding schemes. Because of the high sampling density, these data cover various small groups of older people; contain as much geographic detail as possible under each country''''s confidentiality requirements; include more extensive information on housing conditions than many other data sources; and provide information for a number of countries whose data were not accessible until recently. Data Availability: Eight of the fifteen participating countries have signed the standard data release agreement making their data available through NACDA/ICPSR (see links below). Hungary and Switzerland require a clearance to be obtained from their national statistical offices for the use of microdata, however the documents signed between the PAU and these countries include clauses stipulating that, in general, all scholars interested in social research will be granted access. Russia requested that certain provisions for archiving the microdata samples be removed from its data release arrangement. The PAU has an agreement with several British scholars to facilitate access to the 1991 UK data through collaborative arrangements. Statistics Canada and the Italian Institute of statistics (ISTAT) provide access to data from Canada and Italy, respectively. * Dates of Study: 1989-1992 * Study Features: International, Minority Oversamples * Sample Size: Approx. 1 million/country Links: * Bulgaria (1992), http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/02200 * Czech Republic (1991), http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/06857 * Estonia (1989), http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/06780 * Finland (1990), http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/06797 * Romania (1992), http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/06900 * Latvia (1989), http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/02572 * Lithuania (1989), http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/03952 * Turkey (1990), http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/03292 * U.S. (1990), http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/06219

The dataset that we provide is composed of a csv file containing the answers of responders to our questionnaire conducted to explore perceptions and feelings on the COVID-19 pandemic. The survey was conducted from June 27 to July 2 2022 among university students and adult residents of Milan, Italy, and New York City, NY, U.S.A.. The two target demographics for this study were adult residents of the two cities who were employed at the beginning of 2020 and students who attended university during 2020 or joined during the pandemic. The survey was accompanied by a promotional video and an introductory paragraph describing the objective of the study, and it was shared through social media platforms, on specialized social media groups, and on university students’ mailing lists. The total number of questions asked is a maximum of 20, variable depending on answers given by a user since we employed branching based on previous answers. This feature was particularly useful in creating questions that were specific to a subset of the sample population The topics of questions cover the following broad areas: Relationships: Multiple Choice and sorting/ranking questions designed to understand who the respondents spent lockdown with, if they managed to keep in touch with those they could not meet, and to family, friends and intimate relationships during the pandemic Policies: Likert scale questions measuring agreement with measures put in place in both Milan and New York Personal Life: questions about one’s priorities before and during the pandemic Occupation: Multiple Choice questions about one’s occupation during the pandemic and feelings towards work or university Post-pandemic: Likert scale questions about one's perception of contagion threats and feelings of normalcy at the time they responded to the survey Demographics: Multiple choice questions to describe the pool of respondents and control sample bias The types of the questions are of one of the following types: Multiple choice (one or more selections or single selection) Ranking Numeric scale (1-5 or 1-10) The “ranking” question type allowed users to sort a list of items in descending order of importance. In the dataset the column name represents the ranking given to the item, e.g. 1. highest priority.

A data set of cross-nationally comparable microdata samples for 15 Economic Commission for Europe (ECE) countries (Bulgaria, Canada, Czech Republic, Estonia, Finland, Hungary, Italy, Latvia, Lithuania, Romania, Russia, Switzerland, Turkey, UK, USA) based on the 1990 national population and housing censuses in countries of Europe and North America to study the social and economic conditions of older persons. These samples have been designed to allow research on a wide range of issues related to aging, as well as on other social phenomena. A common set of nomenclatures and classifications, derived on the basis of a study of census data comparability in Europe and North America, was adopted as a standard for recoding. This series was formerly called Dynamics of Population Aging in ECE Countries. The recommendations regarding the design and size of the samples drawn from the 1990 round of censuses envisaged: (1) drawing individual-based samples of about one million persons; (2) progressive oversampling with age in order to ensure sufficient representation of various categories of older people; and (3) retaining information on all persons co-residing in the sampled individual''''s dwelling unit. Estonia, Latvia and Lithuania provided the entire population over age 50, while Finland sampled it with progressive over-sampling. Canada, Italy, Russia, Turkey, UK, and the US provided samples that had not been drawn specially for this project, and cover the entire population without over-sampling. Given its wide user base, the US 1990 PUMS was not recoded. Instead, PAU offers mapping modules, which recode the PUMS variables into the project''''s classifications, nomenclatures, and coding schemes. Because of the high sampling density, these data cover various small groups of older people; contain as much geographic detail as possible under each country''''s confidentiality requirements; include more extensive information on housing conditions than many other data sources; and provide information for a number of countries whose data were not accessible until recently. Data Availability: Eight of the fifteen participating countries have signed the standard data release agreement making their data available through NACDA/ICPSR (see links below). Hungary and Switzerland require a clearance to be obtained from their national statistical offices for the use of microdata, however the documents signed between the PAU and these countries include clauses stipulating that, in general, all scholars interested in social research will be granted access. Russia requested that certain provisions for archiving the microdata samples be removed from its data release arrangement. The PAU has an agreement with several British scholars to facilitate access to the 1991 UK data through collaborative arrangements. Statistics Canada and the Italian Institute of statistics (ISTAT) provide access to data from Canada and Italy, respectively. * Dates of Study: 1989-1992 * Study Features: International, Minority Oversamples * Sample Size: Approx. 1 million/country Links: * Bulgaria (1992), http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/02200 * Czech Republic (1991), http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/06857 * Estonia (1989), http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/06780 * Finland (1990), http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/06797 * Romania (1992), http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/06900 * Latvia (1989), http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/02572 * Lithuania (1989), http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/03952 * Turkey (1990), http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/03292 * U.S. (1990), http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/06219

A population genetics approach is used to identify the most likely introduction site and introduction pathway for the North American forest pathogen Heterobasidion irregulare using 101 isolates from six sites in Italy and 34 isolates from five sites in North America. Diversity indices based on sequences from ten loci indicate the highest diversity in Italy is found in Castelfusano/Castelporziano and that diversity progressively decreases with increasing distance from that site. AMOVA, Bayesian clustering and principal coordinates analyses based on 12 SSR loci indicate high levels of gene flow among sites, high frequency of admixing, and fail to identify groups of genotypes exclusive to single locations. Cumulatively, these analyses suggest the current infestation is the result of multiple genotypes expanding their range from a single site. Based on two sequenced loci, a single source site in North America could provide enough variability to explain the variability observed in Italy. These results support the notion that H. irregulare was introduced originally in Castelporziano: because Castelporziano has been sealed off from the rest of the world for centuries except for a camp set up by the US military in 1944, we conclude the fungus may have been transported in infected wood used by the military. Finally, spatial autocorrelation analyses using SSR data indicate a significant under-dispersion of alleles up to 0.5–10 km, while a significant overdispersion of alleles was detected at distances over 80 km: these ranges can be used to make predictions on the likely dispersal potential of the invasive pathogen.

This database, including both datasets and spatial shape files, contains information on occupation, school attendance, nativity, and race of the Boston population, by ward, for the years 1880, 1900, and 1930. This database can be used to visualize the profound changes in the economic, educational, and ethnic composition of Boston between 1880 and 1930. It illustrates, among other changes, the great expansion of secondary school enrollment, the decline of youth participation in the work force, the growth of white-collar jobs, the decline of unskilled labor, and the geographical distribution of the Boston Irish, Italian, Jewish, and African-American populations over time. This contextual knowledge is useful for historians researching this time period, and useful to non-historians by depicting the origins of fundamental changes whose legacy is still present in Boston today. The underlying data are drawn from the Integrated Public Use Microdata Series maintained by the University of Minnesota (see documentation for full citation). The data contained here can also be viewed through an interactive map hosted by BostonMap (http://worldmap.harvard.edu/maps/historical_boston).

As of 2023, more than 6.1 million Italians lived abroad. In particular, the largest community of migrants was in Argentina, as this country was hosting around 953,000 Italian citizens. Two European states followed in the ranking, Germany and Switzerland, while Brazil had the fourth-largest Italian emigrated population. In total, about 3.32 million emigrants lived in other European countries, while 2.5 million resided in the Americas.

The diapause incidence of these lines was then assessed at two different photoperiods (LD 8:16 and LD 16:8) and at two time points: after 12 and 28 days.

As of 2024, there were 5.3 million foreigners living in Italy. Lombardy had the largest foreign population, with 1.2 million people, ahead of Lazio and Emilia-Romagna. Lombardy has a population of ten million people and is Italy's largest region.