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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.; ;
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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
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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;
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Comprehensive dataset containing 15 verified Plus size clothing store businesses in Metropolitan City of Venice, Italy with complete contact information, ratings, reviews, and location data.
"All the data for this dataset is provided from CARMA: Data from CARMA (www.carma.org) This dataset provides information about Power Plant emissions in the Italy. Power Plant emissions from all power plants in the Italy were obtained by CARMA for the past (2000 Annual Report), the present (2007 data), and the future. CARMA determine data presented for the future to reflect planned plant construction, expansion, and retirement. The dataset provides the name, company, parent company, city, state, zip, county, metro area, lat/lon, and plant id for each individual power plant. The dataset reports for the three time periods: Intensity: Pounds of CO2 emitted per megawatt-hour of electricity produced. Energy: Annual megawatt-hours of electricity produced. Carbon: Annual carbon dioxide (CO2) emissions. The units are short or U.S. tons. Multiply by 0.907 to get metric tons. Carbon Monitoring for Action (CARMA) is a massive database containing information on the carbon emissions of over 50,000 power plants and 4,000 power companies worldwide. Power generation accounts for 40% of all carbon emissions in the United States and about one-quarter of global emissions. CARMA is the first global inventory of a major, sector of the economy. The objective of CARMA.org is to equip individuals with the information they need to forge a cleaner, low-carbon future. By providing complete information for both clean and dirty power producers, CARMA hopes to influence the opinions and decisions of consumers, investors, shareholders, managers, workers, activists, and policymakers. CARMA builds on experience with public information disclosure techniques that have proven successful in reducing traditional pollutants. Please see carma.org for more information"
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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.
Ausstattung der Haushalte mit Konsumgütern und Qualitätsbewertungunterschiedlicher Waren aus verschiedenen Ländern. Themen: Besitz, Marke und Anschaffungsjahr langlebiger Gebrauchs- undHaushaltsgüter; Besitz von Musikinstrumenten, Sparbüchern, Aktien,Lebensversicherungen und Haustieren; Gebrauch von Kosmetikartikeln;Trink- und Ernährungsgewohnheiten; Rauch-, Koch- und Lesegewohnheiten;Freizeitaktivitäten; Ansichten über die Jugend und die Kindererziehung;Bewertung der wirtschaftlichen Lage; Kenntnisse und Vorstellungen überandere Länder; Anziehungskraft anderer Länder; nationale Auto- undHeterostereotype; Image der Produkte und Produktionsleistungenverschiedener Nationen; Fremdsprachenkenntnisse; Auslandsreisen;Flugreisen; Informiertheit über die EWG; Einstellungen zur EWG. Demographie: Alter (klassiert); Beruf; Berufstätigkeit;Haushaltungsvorstand; Haushaltseinkommen; Familienstand; Haushaltsgröße;Kinderzahl; Haushaltszusammensetzung; Besitz langlebigerWirtschaftsgüter; Mediennutzung; Mitgliedschaften; Ortsgröße;Wirtschaftsraum. Furnishing households with consumer goods and quality evaluation ofdifferent products from various countries. Topics: The investigation is identical to the content of ZA Study No.0122. Demography: age (classified); occupation; employment; head ofhousehold; household income; marital status; size of household; numberof children; composition of household; possession of durable economicgoods; media usage; memberships; city size; economic area. Mündliche Befragung mit standardisiertem Fragebogen Oral survey with standardized questionnaire
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Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
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.; ;