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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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Spain ES: Population in Largest City: as % of Urban Population data was reported at 17.171 % in 2017. This records an increase from the previous number of 17.008 % for 2016. Spain ES: Population in Largest City: as % of Urban Population data is updated yearly, averaging 15.595 % from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 17.171 % in 2017 and a record low of 14.326 % in 1960. Spain ES: 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 Spain – Table ES.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;
More than 250 million tweets in Spanish from 331 Spanish-speaking cities in Latin America, Spain and the United States were compiled from Twitter. In this data set, a column is provided with the 5000 most frequent words and one with their corresponding frequencies (the number of times the word was produced in that city) for each of the 331 cities. The reported data correspond to the years 2009 to 2016.
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The database is one of the results of the project "Metropolitan Governance in Spain: Institutionalization and Models" (METROGOV, 2020-23), funded by the National R&D Plan 2019 of the Ministry of Science and Innovation (PID2019-106931GA-I00). Directed by Professor Tomàs, the project wants to understand the building and definition of models of metropolitan governance in Spain. There is no comprehensive work based on a common methodology that address this topic, this is why the METROGOV project seeks to cover this gap in the literature and the research.
The first specific goal of the project was to create a database of metropolitan institutions in Spain, including hard forms like metropolitan governments, metropolitan sectorial agencies and consortiums as well as soft forms as metropolitan strategic plans. The database provides an updated and rigorous portrait of the institutional thickness of urban agglomerations, gathering up to 384 metropolitan cooperation instruments in the Spanish functional areas. In other words, it is a picture of the institutional reality of Spanish urban agglomerations. This database provides precious information about the model of metropolitan governance, the municipalities involved and the sectors with most and less institutionalization.
As in Spain there is not an official or statistical definition of metropolitan areas, the project departed from the concept of Functional Urban Areas (FUA), considered as “densely inhabited city and a less densely populated commuting zone whose labour market is highly integrated with the city” (Eurostat). According to this definition, the commuting zone contains the surrounding travel-to-work areas of a city where at least 15 % of employed residents are working in a city. In the case of Spain, we find 45 big FUA, where the central city has more than 100.000 inhabitants. The database was structured considering these 45 Spanish FUAs, and it was necessary that at least 3 municipalities participated in the metropolitan cooperation tools.
In the grid, you will find the 384 instruments of metropolitan cooperation following different criteria. First of all, the models of metropolitan governance, from hard to soft: metropolitan government, metropolitan sectoral agency, “mancomunidad”, consortium, public or public-private company, territorial plan, sectoral plan, comarca, association of municipalities, strategic plan, European project, working group. Each instrument is also classified according to the subject of cooperation: transport, waste, water, housing, urbanism, etc. Other complementary information is added, such as: the year of creation; number and names of municipalities that are part of the entity; percentage of territory covered by this tool, etc.
A book has been recently published with the results of the project: Tomàs, M. (2023) (ed.). Metrópolis sin gobierno. La anomalía española en Europa. València: Tirant lo Blanch.
With 6.2 Million Businesses in Spain , Techsalerator has access to the highest B2B count of Data/Business Data in the country.
Thanks to our unique tools and large data specialist team, we are able to select the ideal targeted dataset based on the unique elements such as sales volume of a company, the company's location, no. of employees etc...
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At Techsalerator, we cover all regions and cities in Spain with Business Data.
A few example of regions in Spain : Andalusia Catalonia Community of Madrid Valencian Community Galicia Castile and León Basque Country Castilla-La Mancha Canary Islands Region of Murcia Aragon Extremadura Balearic Islands Asturias Navarre Cantabria La Rioja
A few examples of cities in Spain : Madrid Barcelona Valencia Sevilla Zaragoza Malaga Murcia Palma Las Palmas de Gran Canaria Bilbao Alicante Cordoba Valladolid Vigo Gijon Eixample L'Hospitalet de Llobregat Latina Carabanchel A Coruna Puente de Vallecas Sant Marti Gasteiz / Vitoria Granada Elche Ciudad Lineal Oviedo Santa Cruz de Tenerife Fuencarral-El Pardo Badalona Cartagena Terrassa Jerez de la Frontera Sabadell Mostoles Alcala de Henares Pamplona Fuenlabrada Almeria Leganes San Sebastian Sants-Montjuic Santander Castello de la Plana Burgos Albacete Horta-Guinardo Alcorcon Getafe Nou Barris Hortaleza San Blas-Canillejas Salamanca Tetuan de las Victorias Logrono La Laguna City Center Huelva Arganzuela Badajoz Sarria-Sant Gervasi Sant Andreu Salamanca Chamberi Usera Tarragona Chamartin Lleida Marbella Leon Villaverde Cadiz Retiro Dos Hermanas Mataro Gracia Santa Coloma de Gramenet Torrejon de Ardoz Jaen Moncloa-Aravaca Algeciras Parla Delicias Ourense Alcobendas Reus Moratalaz Ciutat Vella Torrevieja Telde Barakaldo Lugo San Fernando Girona Santiago de Compostela Caceres Lorca Coslada Talavera de la Reina El Puerto de Santa Maria Cornella de Llobregat Las Rozas de Madrid Orihuela Aviles El Ejido Guadalajara Roquetas de Mar Palencia Algorta Pozuelo de Alarcon Sant Boi de Llobregat Toledo Les Corts Pontevedra Getxo Gandia Sant Cugat del Valles Ceuta Arona Torrent Chiclana de la Frontera Manresa San Sebastian de los Reyes Ferrol Velez-Malaga Ciudad Real Mijas Melilla
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Context
The dataset presents the median household incomes over the past decade across various racial categories identified by the U.S. Census Bureau in Spanish Fork. 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
https://i.neilsberg.com/ch/spanish-fork-ut-median-household-income-by-race-trends.jpeg" alt="Spanish Fork, UT median household income trends across races (2011-2021, in 2022 inflation-adjusted dollars)">
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:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Spanish Fork median household income by race. You can refer the same here
https://www.ine.es/aviso_legalhttps://www.ine.es/aviso_legal
Table of INEBase Relationship with the activity: Population aged 16 and over by sex, age groups, place of birth (Spain/foreign) and relationship with the activity (grouped) (Provincial capitals and main cities). Annual. National. Censo de Población
https://www.ine.es/aviso_legalhttps://www.ine.es/aviso_legal
Table of INEBase Population employed aged 16 and over by sex, place of birth (Spain/abroad), occupation 1D (Provincial capitals and main cities). Annual. Municipalities. Censo de Población
MIT Licensehttps://opensource.org/licenses/MIT
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The METRAQ air quality dataset
This is the official dataset repository for the METRAQ air quality dataset collected from the Open Data Portal of the City Council of Madrid (Spain) that collects air quality data since 2001, meteorological data since 2015 and traffic data since 2019, and has been curated to offer a reliable source. Besides, the intersection of these three data sources spans 6 years.
Data sources
The original data published in this dataset is available on… See the full description on the dataset page: https://huggingface.co/datasets/dmariaa70/METRAQ-Air-Quality.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset presents the median household incomes over the past decade across various racial categories identified by the U.S. Census Bureau in Spanish Fort. 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
https://i.neilsberg.com/ch/spanish-fort-al-median-household-income-by-race-trends.jpeg" alt="Spanish Fort, AL median household income trends across races (2011-2021, in 2022 inflation-adjusted dollars)">
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:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Spanish Fort median household income by race. You can refer the same here
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Avg Housing Price: Free Market: Community of Madrid data was reported at 2,413.200 EUR/sq m in Mar 2018. This records an increase from the previous number of 2,354.900 EUR/sq m for Dec 2017. Avg Housing Price: Free Market: Community of Madrid data is updated quarterly, averaging 1,727.500 EUR/sq m from Mar 1987 (Median) to Mar 2018, with 125 observations. The data reached an all-time high of 3,007.400 EUR/sq m in Dec 2007 and a record low of 375.776 EUR/sq m in Mar 1987. Avg Housing Price: Free Market: Community of Madrid data remains active status in CEIC and is reported by Ministry of Public Works. The data is categorized under Global Database’s Spain – Table ES.P003: Housing Prices: Free Market: by Region and Major City.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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Several recent European studies conducted over the past 50 years have documented a positive connection between a person’s height and their salary. However, there are very few studies for earlier periods and for southern Europe. In this paper, we analyze the relationship between the height of conscripts born between 1888 and 1907 and their daily wages in 1924. Data for the Spanish city of Zaragoza was used. The results showed that for every additional 10 cm of height, an individual earned approximately 3% more. Furthermore, the shortest 25% of individuals suffered a considerable penalty in their income (about 15%). To understand the causes of this discrimination, we then analyzed the data by socioeconomic group. We found that people in low socioeco nomic groups essentially suffered wage discrimination. This finding could be linked to the fact that a tall stature conveys an image of strength and productivity. It should be noted that these results were found mainly for the urban areas, with their relatively large labor supply and weak blood ties rather than rural areas or among immigrants. In other words, the height penalty affected the weakest groups of society (low socioeconomic level and immigrants).
🇪🇸 스페인
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Avg Housing Price: Free Market: Less than 5 Years Old: Barcelona data was reported at 3,628.600 EUR/sq m in Mar 2018. This records a decrease from the previous number of 3,751.000 EUR/sq m for Dec 2017. Avg Housing Price: Free Market: Less than 5 Years Old: Barcelona data is updated quarterly, averaging 3,151.300 EUR/sq m from Mar 2010 (Median) to Mar 2018, with 33 observations. The data reached an all-time high of 3,751.000 EUR/sq m in Dec 2017 and a record low of 2,726.100 EUR/sq m in Jun 2012. Avg Housing Price: Free Market: Less than 5 Years Old: Barcelona data remains active status in CEIC and is reported by Ministry of Public Works. The data is categorized under Global Database’s Spain – Table ES.P003: Housing Prices: Free Market: by Region and Major City.
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Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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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