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.; ;

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

This dataset provides a snapshot of Airbnb listings across major Italian cities and regions, offering valuable insights into the short-term rental market in Italy. Whether you're interested in pricing trends, regional variations, or the impact of seasonality, this dataset has something for you.

Data refer to a period between September 2023 and September 2024

Key Features:

• City-level data: Explore listings in popular cities like Florence, Milan, Naples, Rome, and Venice.
• Regional insights: Analyze trends across broader regions including Puglia, Sicily, and Trentino.
• Comprehensive metrics: Data includes pricing, review scores, host details, and more.
• Seasonal analysis: Data spans different periods, allowing for comparisons across seasons.

Data Dictionary:

• id: Unique identifier for each listing.
• number_of_reviews_ltm: Number of reviews received in the last twelve months.
• date_of_scraping: Date the data was scraped.
• host_since: Date the host joined Airbnb.
• host_is_superhost: Whether the host is a superhost (t/f).
• host_total_listings_count: Total number of listings the host has.
• neighbourhood: Neighborhood where the listing is located.
• latitude: Latitude coordinate of the listing.
• longitude: Longitude coordinate of the listing.
• room_type: Type of room (e.g., entire home/apt, private room).
• accommodates: Number of guests the listing can accommodate.
• price: Price per night (in local currency).
• number_of_reviews: Total number of reviews.
• review_scores_rating: Overall rating of the listing.
• review_scores_accuracy: Accuracy rating.
• review_scores_cleanliness: Cleanliness rating.
• review_scores_checkin: Check-in rating.
• review_scores_communication: Communication rating.
• review_scores_location: Location rating.
• review_scores_value: Value rating.
• reviews_per_month: Number of reviews per month.
• place: City or region where the listing is located.
• period: Time period when the data was scraped (e.g., Early Winter).

For visualization reason it is also provide a csv with all city neighbourhoods and the relative geojson.

I also added datasets that group listings according to period and neighbourhood/cities, quantitative features were been aggregate according to median and MAD, qualitative according to mode and Shannon's entropy.

Disclaimer:

This dataset is intended for informational and research purposes only. It is not affiliated with Airbnb or any other organization.

Italy IT: Population in Largest City: as % of Urban Population data was reported at 8.953 % in 2017. This records an increase from the previous number of 8.920 % for 2016. Italy IT: Population in Largest City: as % of Urban Population data is updated yearly, averaging 8.946 % from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 9.181 % in 1972 and a record low of 8.240 % in 1960. Italy IT: Population in Largest City: as % of Urban 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. Population in largest city is the percentage of a country's urban population living in that country's largest metropolitan area.; ; United Nations, World Urbanization Prospects.; Weighted Average;

About this dataset

Context

The dataset tabulates the Italy town median household income by race. The dataset can be utilized to understand the racial distribution of Italy town income.

Content

The dataset will have the following datasets when applicable

Please note: The 2020 1-Year ACS estimates data was not reported by the Census Bureau due to the impact on survey collection and analysis caused by COVID-19. Consequently, median household income data for 2020 is unavailable for large cities (population 65,000 and above).

• Italy, New York median household income breakdown by race betwen 2011 and 2021
• Median Household Income by Racial Categories in Italy, New York (2021, in 2022 inflation-adjusted dollars)

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/.

Interested in deeper insights and visual analysis?

Explore our comprehensive data analysis and visual representations for a deeper understanding of Italy town median household income by race. You can refer the same here

About this dataset

Context

The dataset tabulates the Italy town household income by gender. The dataset can be utilized to understand the gender-based income distribution of Italy town income.

Content

The dataset will have the following datasets when applicable

Please note: The 2020 1-Year ACS estimates data was not reported by the Census Bureau due to the impact on survey collection and analysis caused by COVID-19. Consequently, median household income data for 2020 is unavailable for large cities (population 65,000 and above).

• Italy, New York annual median income by work experience and sex dataset : Aged 15+, 2010-2022 (in 2022 inflation-adjusted dollars)
• Italy, New York annual income distribution by work experience and gender dataset (Number of individuals ages 15+ with income, 2021)

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/.

Interested in deeper insights and visual analysis?

Explore our comprehensive data analysis and visual representations for a deeper understanding of Italy town income distribution by gender. You can refer the same here

About this dataset

Context

The dataset tabulates the Italy town household income by age. The dataset can be utilized to understand the age-based income distribution of Italy town income.

Content

The dataset will have the following datasets when applicable

Please note: The 2020 1-Year ACS estimates data was not reported by the Census Bureau due to the impact on survey collection and analysis caused by COVID-19. Consequently, median household income data for 2020 is unavailable for large cities (population 65,000 and above).

• Italy, New York annual median income by age groups dataset (in 2022 inflation-adjusted dollars)
• Age-wise distribution of Italy, New York household incomes: Comparative analysis across 16 income brackets

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/.

Interested in deeper insights and visual analysis?

Explore our comprehensive data analysis and visual representations for a deeper understanding of Italy town income distribution by age. You can refer the same here

This paper uses an original dataset covering the presence of local news in medium-large Italian cities in the period 1993–2010 to evaluate the effects of newspaper entry and exit on electoral participation, political selection, and government efficiency. Exploiting discrete changes in the number of newspapers, we show that newspaper entry increases turnout in municipal elections, the reelection probability of the incumbent mayor, and the efficiency of the municipal government. We do not find any effect on the selection of politicians. Competition plays a relevant role, as the effects are not limited to the first newspaper entry.

We present a comprehensive dataset of channel measurements, performed to analyze outdoor-to-indoor propagation characteristics in the mid-band spectrum identified for the operation of 5th Generation (5G) cellular systems. The dataset includes measurements of channel power delay profiles from two 5G networks operating in Band n78, i.e., 3.3--3.8 GHz. Such measurements were collected at multiple locations in a large office building in the city of Rome, Italy, by using the Rohde & Schwarz (R&S) network scanner TSMA6 for several weeks in 2020 and 2021. A primary goal of the dataset is to provide an opportunity for researchers to investigate a large set of 5G channel measurements, aiming at analyzing the corresponding propagation characteristics towards the definition and refinement of empirical channel propagation models.

This record contains raw data related to article “Incidence rates of hospitalization and death from COVID-19 in patients with psoriasis receiving biological treatment: a Northern Italy experience"

Introduction: Whether biologic therapies enhance the risk of coronavirus 2019 (COVID-19) or affect the disease outcome in patients with chronic plaque psoriasis remains to be ascertained.

Objective: We sought to investigate the incidence of hospitalization and death for COVID-19 in a large sample of patients with plaque psoriasis receiving biologic therapies compared with the general population.

Methods: This is a retrospective multicenter cohort study including patients with chronic plaque psoriasis (n = 6501) being treated with biologic therapy and regularly followed up at the divisions of dermatology of several main hospitals in the Northern Italian cities of Verona, Padua, Vicenza, Modena, Bologna, Piacenza, Turin, and Milan. Incidence rates of hospitalization and death per 10,000 person-months with exact mid-p 95% CIs and standardized incidence ratios were estimated in the patients with psoriasis and compared with those in the general population in the same geographic areas.

Results: The incidence rate of hospitalization for COVID-19 was 11.7 (95% CI, 7.2-18.1) per 10,000 person-months in patients with psoriasis and 14.4 (95% CI, 14.3-14.5) in the general population; the incidence rate of death from COVID-19 was 1.3 (95% CI, 0.2-4.3) and 4.7 (95% CI, 4.6-4.7) in patients with psoriasis and the general population, respectively. The standardized incidence ratio of hospitalization and death in patients with psoriasis compared with those in the general population was 0.94 (95% CI, 0.57-1.45; P = .82) and 0.42 (95% CI, 0.07-1.38; P = .19), respectively.

Conclusions: Our data did not show any adverse impact of biologics on COVID-19 outcome in patients with psoriasis. We would not advise biologic discontinuation in patients on treatment since more than 6 months and not infected with severe acute respiratory syndrome coronavirus 2 to prevent hospitalization and death from COVID-19.

About this dataset

Context

The dataset tabulates the median household income in Italy. It can be utilized to understand the trend in median household income and to analyze the income distribution in Italy by household type, size, and across various income brackets.

Content

The dataset will have the following datasets when applicable

Please note: The 2020 1-Year ACS estimates data was not reported by the Census Bureau due to the impact on survey collection and analysis caused by COVID-19. Consequently, median household income data for 2020 is unavailable for large cities (population 65,000 and above).

• Italy, TX Median Household Income Trends (2010-2021, in 2022 inflation-adjusted dollars)
• Median Household Income Variation by Family Size in Italy, TX: Comparative analysis across 7 household sizes
• Income Distribution by Quintile: Mean Household Income in Italy, TX
• Italy, TX households by income brackets: family, non-family, and total, in 2022 inflation-adjusted dollars

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/.

Interested in deeper insights and visual analysis?

Explore our comprehensive data analysis and visual representations for a deeper understanding of Italy median household income. You can refer the same here

About this dataset

Context

The dataset presents the median household incomes over the past decade across various racial categories identified by the U.S. Census Bureau in Italy. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. It also showcases the annual income trends, between 2011 and 2021, providing insights into the economic shifts within diverse racial communities.The dataset can be utilized to gain insights into income disparities and variations across racial categories, aiding in data analysis and decision-making..

Key observations

• White: In Italy, the median household income for the households where the householder is White decreased by $9,957(14.62%), between 2011 and 2021. The median household income, in 2022 inflation-adjusted dollars, was $68,102 in 2011 and $58,145 in 2021.
• Black or African American: In Italy, the median household income for the households where the householder is Black or African American increased by $6,023(15.14%), between 2011 and 2021. The median household income, in 2022 inflation-adjusted dollars, was $39,773 in 2011 and $45,796 in 2021.
• Refer to the research insights for more key observations on American Indian and Alaska Native, Asian, Native Hawaiian and Other Pacific Islander, Some other race and Two or more races (multiracial) households

https://i.neilsberg.com/ch/italy-tx-median-household-income-by-race-trends.jpeg" alt="Italy, TX median household income trends across races (2011-2021, in 2022 inflation-adjusted dollars)">

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 of the head of household: This column presents the self-identified race of the household head, encompassing all relevant racial categories (excluding ethnicity) applicable in Italy.
• 2010: 2010 median household income
• 2011: 2011 median household income
• 2012: 2012 median household income
• 2013: 2013 median household income
• 2014: 2014 median household income
• 2015: 2015 median household income
• 2016: 2016 median household income
• 2017: 2017 median household income
• 2018: 2018 median household income
• 2019: 2019 median household income
• 2020: 2020 median household income
• 2021: 2021 median household income
• 2022: 2022 median household income
• Please note: 2020 1-Year ACS estimates data was not reported by Census Bureau due to impact on survey collection and analysis during COVID-19, thus for large cities (population 65,000 and above) median household income data is not available.
• Please note: All incomes have been adjusted for inflation and are presented in 2022-inflation-adjusted dollars.

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 median household income by race. You can refer the same here