How much time do people spend on social media? As of 2024, the average daily social media usage of internet users worldwide amounted to 143 minutes per day, down from 151 minutes in the previous year. Currently, the country with the most time spent on social media per day is Brazil, with online users spending an average of three hours and 49 minutes on social media each day. In comparison, the daily time spent with social media in the U.S. was just two hours and 16 minutes. Global social media usageCurrently, the global social network penetration rate is 62.3 percent. Northern Europe had an 81.7 percent social media penetration rate, topping the ranking of global social media usage by region. Eastern and Middle Africa closed the ranking with 10.1 and 9.6 percent usage reach, respectively. People access social media for a variety of reasons. Users like to find funny or entertaining content and enjoy sharing photos and videos with friends, but mainly use social media to stay in touch with current events friends. Global impact of social mediaSocial media has a wide-reaching and significant impact on not only online activities but also offline behavior and life in general. During a global online user survey in February 2019, a significant share of respondents stated that social media had increased their access to information, ease of communication, and freedom of expression. On the flip side, respondents also felt that social media had worsened their personal privacy, increased a polarization in politics and heightened everyday distractions.

Context

The datasets contain real estate listings in Argentina, Colombia, Ecuador, Perú, and Uruguay. With information on number of rooms, districts, prices, etc. They include houses, apartments, commercial lots, and more.

The datasets origin from Properati Data which is a data division of Properati, the Latin American property search site. On their website you can find links to different tools and datasets to use freely for your projects. All you have to do is make sure you credit them for the data.

Content

What a minute the dataset is in Spanish?! Yes, so for that reason I have provided a translated overview below. Keep in mind that although Spanish is a single language, certain words and expressions may vary depending on the country and region, e.g. the word for apartment in Colombia "apartamento" is "departamento" in Argentina. But all of these are easy to translate with Google Translator.

Overview of Data

• type - Type of listing:
  • Propiedad (Property).
  • Desarrollo/Proyecto (Development/Project).
• country - Country in which the listing is published:
  • Argentina
  • Colombia
  • Ecuador
  • Perú
  • Uruguay
• id - id of the listing. It is not unique: if the listing is updated by the real estate agency (new version of the listing) a new record is created with the same id but different dates: registration and cancellation.
• start_date - Date of registration of the listing.
• end_date - Cancellation date of the listing.
• created_on - Date of registration of the first version of the listing.
• lat - Latitude of the property.
• lon - Longitud of the property.
• l1 - Administrative Level 1: Country of the property.
• l2 - Administrative Level 2: Usually the province of the property.
• l3 - Administrative Level 3: Usually the city of the property.
• l4 - Administrative Level 4: Usually the neighbourhood of the property.
• operation - Type of listing:
  • Venta (Sale).
  • Alquiler (Rent).
• type - Type of property:
  • Casa (House).
  • Departamento (Apartment).
  • PH (Horizontal Property).
• rooms - Number of rooms (useful for Argentina).
• bedrooms - Number of bedrooms (useful for the rest of the countries).
• bathrooms - Number of bathrooms.
• surface_total - Total area in m².
• surface_covered - Area covered in m².
• price - Price published in the listing.
• currency - Currency of published price.
• price_period - Payment periods:
  • Diario (Daily).
  • Semanal (Weekly).
  • Mensual (Monthly).
• title - Title of the listing (These are in Spanish).
• description - Description of the listing (In Spanish).
• status - Development status (Completed, Under construction, ...).
• name - Development name.
• short_description - Short listing description.

Acknowledgements & Inspiration

I want to thank Properati Data for providing the datasets free of charge. Especially, datasets on real estate listings that can be difficult to come by without spending time on creating crawlers and finding websites that will allow for crawling.

The inspiration and reason I came by the datasets in the first place was through my personal project on predicting apartment prices in Buenos Aires.

Additional Information

Data was downloaded the May 24 2020.

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