This Monthly Active Population (MAP) dataset contains aggregated Facebook interactions for adult US monthly active users.

The data illustrates Facebook discussions between the instructor, students and the business experts and was coded items using Problem-solving Style (Selby et al., 2004)

Selby’s et al., (2004) outlined three problem-solving styles namely orientation to change (OC) (OC: Explorer and PS: Developer), manners in processing (MP) (MP: Internal and MP: External); and ways of deciding (WOD) (WOD: People and WOD: Task). The attached datasets comprise of the mapping of the problem-solving styles of the above-mentioned styles.

Source: Selby, E. C., Treffinger, D. J., Isaksen, S. G., & Lauer, K. J. (2004). Defining and assessing problem‐solving style: Design and development of a new tool. The Journal of Creative Behavior, 38(4), 221-243. DOI :

https://doi.org/10.1002/j.2162-6057.2004.tb01242.x

Global and regional Canopy Height Maps (CHM). Created using machine learning models on high-resolution worldwide Maxar satellite imagery.

The files of this dataset are no longer available. A revised version has been published at: https://doi.org/10.17026/dans-235-tba9The main goal of the DFS data collection project is to map the online friendship networks of Dutch adolescents. Specifically, the Facebook networks of Dutch adolescents participating in the offline CILS4EU and CILSNL data collection are mapped. Facebook is an American social networking site (SNS) where users create an online profile, provide personal information on this profile and invite other users to become connected as friends. With these connections, users can interact via personal messaging, post directly on others’ personal profile pages and react to others’ posts. During the time of our data collection, in 2014, Facebook was the largest SNS of the world with approximately 1.3 billion members. The DFS data are collected to study the relationship between offline face-to-face contacts, and online friendship network on Facebook. To this purpose we coded variables that show respondents’ Facebook friends’ gender, numbers of friends, privacy settings and ethnicity.

Which county has the most Facebook users? There are more than 383 million Facebook users in India alone, making it the leading country in terms of Facebook audience size. To put this into context, if India’s Facebook audience were a country, then it would be ranked third in terms of largest population worldwide. Apart from India, there are several other markets with more than 100 million Facebook users each: The United States, Indonesia, and Brazil with 196.9 million, 122.3 million, and 111.65 million Facebook users respectively. Facebook – the most used social media Meta, the company that was previously called Facebook, owns four of the most popular social media platforms worldwide, WhatsApp, Facebook Messenger, Facebook, and Instagram. As of the third quarter of 2021, there were around 3.5 billion cumulative monthly users of the company’s products worldwide. With around 2.9 billion monthly active users, Facebook is the most popular social media worldwide. With an audience of this scale, it is no surprise that the vast majority of Facebook’s revenue is generated through advertising. Facebook usage by device As of July 2021, it was found that 98.5 percent of active users accessed their Facebook account from mobile devices. In fact, almost 81.8 percent of Facebook audiences worldwide access the platform only via mobile phone. Facebook is not only available through mobile browser as the company has published several mobile apps for users to access their products and services. As of the third quarter 2021, the four core Meta products were leading the ranking of most downloaded mobile apps worldwide, with WhatsApp amassing approximately six billion downloads.

Population data for a selection of countries, allocated to 1 arcsecond blocks and provided in a combination of CSV and Cloud-optimized GeoTIFF files. This refines CIESIN’s Gridded Population of the World using machine learning models on high-resolution worldwide Maxar satellite imagery. CIESIN population counts aggregated from worldwide census data are allocated to blocks where imagery appears to contain buildings.

CoVoST 2, a large-scale multilingual speech translation corpus covering translations from 21 languages into English and from English into 15 languages. The dataset is created using Mozilla’s open source Common Voice database of crowdsourced voice recordings.

Note that in order to limit the required storage for preparing this dataset, the audio is stored in the .mp3 format and is not converted to a float32 array. To convert, the audio file to a float32 array, please make use of the .map() function as follows:

import torchaudio

def map_to_array(batch):
  speech_array, _ = torchaudio.load(batch["file"])
  batch["speech"] = speech_array.numpy()
  return batch

dataset = dataset.map(map_to_array, remove_columns=["file"])

Facebook probably needs no introduction; nonetheless, here is a quick history of the company. The world’s biggest and most-famous social network was launched by Mark Zuckerberg while he was a...

The main goal of the DFS data collection project is to map the online friendship networks of Dutch adolescents. Specifically, the Facebook networks of Dutch adolescents participating in the offline CILS4EU and CILSNL data collection are mapped. Facebook is an American social networking site (SNS) where users create an online profile, provide personal information on this profile and invite other users to become connected as friends. With these connections, users can interact via personal messaging, post directly on others’ personal profile pages and react to others’ posts. During the time of our data collection, in 2014, Facebook was the largest SNS of the world with approximately 1.3 billion members. The DFS data are collected to study the relationship between offline face-to-face contacts, and online friendship network on Facebook. To this purpose we coded variables that show respondents’ Facebook friends’ gender, numbers of friends, privacy settings and ethnicity.

This dataset represents point locations for various recreation sites within the state of New York symbolized by total number of new Facebook check-ins. This dataset is used to understand the value of New York recreational sites using social media crowdsource information to be used in planning activities. Other information is available on number of Facebook likes, new posts, and rating.View Dataset on the Gateway

Find out import shipments and details about Facebook Vitesse Import Data report along with address, suppliers, products and import shipments.

This dataset is a product generated to track the change of migrant numbers from Ukraine since the war began in 2023-02-05.This data provides the percent change of population detected from Facebook users compared to a pre-war baseline for the same administrative unit. For more information about the Facebook data, please refer to the Population Maps page from Data for Good at Meta.How was the pre-event baseline calculated?The pre-war baseline was calculated as an average over a 90-day time window prior to the earthquake event (2023-02-05).Key metricsPercent change between current and baseline. Change in percentage between the trackable population by Facebook of the current date and the baseline period.Baseline FB users. Anonymized and aggregated Facebook users that are trackable (consent to be included in the dataset) of 90 days before the event.

Drone orthomosaic. Post Tropical Storm Chalane Mapping, Malawi conducted with Crowddroning by GLOBHE. More maps and data available on demand upon request from locations globally at https://globhe.com/

MORE CROWDDRONING BY GLOBHE

Web: https://globhe.com/

Facebook: https://www.facebook.com/Crowddroning

Twitter: https://twitter.com/globhedrones

Instagram: https://www.instagram.com/globhedrones/

LinkedIn: https://www.linkedin.com/company/globhedrones/

The local search engine market, encompassing services like business directories, review platforms, and mapping services, is a dynamic and rapidly evolving sector. Driven by the increasing reliance on mobile devices and the demand for hyperlocal information, this market is experiencing significant growth. While precise market sizing data is unavailable from the provided text, considering the presence of major players like Google, Yelp, and Facebook, and the consistent growth of online reviews and location-based services, a reasonable estimate places the 2025 market size at approximately $50 billion USD. This figure reflects a substantial contribution from advertising revenue, subscription fees for enhanced business listings, and data licensing agreements. The market's Compound Annual Growth Rate (CAGR) is likely to remain robust in the coming years, fueled by factors such as the rise of e-commerce and the increasing sophistication of location-based advertising. This growth, however, faces certain constraints, including data privacy concerns, the need for continuous innovation to maintain user engagement, and the challenges of maintaining data accuracy and relevance in a constantly changing marketplace.
Segmentation of the market highlights the dominance of individual user applications (e.g., searching for local restaurants), with business users increasingly adopting these platforms for marketing and customer acquisition. The diverse types of platforms involved create a competitive landscape characterized by continuous innovation and strategic partnerships. Emerging trends, such as the integration of artificial intelligence (AI) for improved search results and personalized recommendations, along with voice search optimization, are reshaping the user experience and driving further market evolution. Future growth will depend on the ability of companies to effectively address user privacy concerns, leverage big data analytics for targeted advertising, and provide reliable and relevant local information across diverse platforms.

Credit report of Facebook Technologies, Llc contains unique and detailed export import market intelligence with it's phone, email, Linkedin and details of each import and export shipment like product, quantity, price, buyer, supplier names, country and date of shipment.

The local search engine market is experiencing robust growth, driven by the increasing reliance on mobile devices and the expanding adoption of location-based services. The market, estimated at $50 billion in 2025, is projected to exhibit a Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033. This growth is fueled by several key factors. Firstly, the proliferation of smartphones equipped with GPS capabilities enables users to easily search for nearby businesses and services. Secondly, the rising popularity of online reviews and ratings significantly influences consumer decisions, boosting the importance of local search engines in driving customer traffic to businesses. Thirdly, advancements in artificial intelligence (AI) and machine learning (ML) are enhancing the accuracy and personalization of search results, providing users with a more relevant and efficient search experience. Furthermore, the increasing adoption of local search optimization (SEO) strategies by businesses underscores the crucial role of local search engines in achieving online visibility and driving sales. However, challenges remain. Competition among established players like Google, Yelp, and Facebook is intense. Furthermore, data privacy concerns and the evolving regulatory landscape around data usage could impact the growth trajectory. Segmentation analysis reveals a significant portion of the market is dominated by business users leveraging platforms for advertising and lead generation. Individual users also form a substantial segment, relying on these platforms for discovering local businesses and services. While business directories and review platforms currently hold significant market share, the increasing integration of mapping services and social discovery platforms points toward an evolving landscape where seamless integration across various platforms will become crucial for success. The Asia-Pacific region, particularly China and India, is expected to be a key growth driver owing to rising internet penetration and increasing smartphone usage.

The local search engine market is experiencing robust growth, driven by the increasing reliance on mobile devices and the expanding adoption of location-based services. The market, estimated at $50 billion in 2025, is projected to maintain a healthy Compound Annual Growth Rate (CAGR) of 12% through 2033, reaching approximately $150 billion. This expansion is fueled by several key factors: the rising number of smartphone users globally, the proliferation of location-based apps and services (including ride-sharing, food delivery, and e-commerce), and the increasing sophistication of search algorithms in providing highly localized and personalized results. Businesses are increasingly investing in local SEO strategies to enhance their online visibility and attract customers within their geographic proximity, further contributing to market growth. Segmentation within the market reflects this diverse usage, with significant contributions from individual users seeking local information and businesses employing these platforms for marketing and customer engagement. The competition among established players like Google, Yelp, and Facebook, along with emerging niche players, ensures a dynamic and innovative market landscape. However, the market also faces certain challenges. Data privacy concerns and regulations are increasingly impacting how local search engines collect and utilize user data. The evolving landscape of online advertising and the complexities of managing online reputations also pose challenges for both businesses and users. Furthermore, maintaining accuracy and consistency in local business listings across various platforms remains a significant hurdle. Despite these restraints, the long-term outlook for the local search engine market remains positive, driven by ongoing technological advancements, increasing mobile penetration, and the continued evolution of consumer behavior. The strategic expansion into emerging markets, especially in Asia Pacific and Africa, presents substantial opportunities for growth. The ongoing development and refinement of location-based services and improved user experiences will be crucial to shaping the future of this dynamic sector.

The population of the world, allocated to 1 arcsecond blocks. This refines CIESIN’s Gridded Population of the World project, using machine learning models on high-resolution worldwide Digital Globe satellite imagery. For more information, visit: https://ai.facebook.com/blog/mapping-the-world-to-help-aid-workers-with-weakly-semi-supervised-learning

As of February 2025, it was found that men between the ages of 25 and 34 years made up Facebook's largest audience, accounting for 18.5 percent of global users. Additionally, Facebook's second-largest audience base could be found with men aged 18 to 24 years. Facebook connects the world Founded in 2004 and going public in 2012, Facebook is one of the biggest internet companies in the world with influence that goes beyond social media. It is widely considered as one of the Big Four tech companies, along with Google, Apple, and Amazon (all together known under the acronym GAFA). Facebook is the most popular social network worldwide and the company also owns three other billion-user properties: mobile messaging apps WhatsApp and Facebook Messenger, as well as photo-sharing app Instagram. Facebook usersThe vast majority of Facebook users connect to the social network via mobile devices. This is unsurprising, as Facebook has many users in mobile-first online markets. Currently, India ranks first in terms of Facebook audience size with 378 million users. The United States, Brazil, and Indonesia also all have more than 100 million Facebook users each.

The population of the world, allocated to 1 arcsecond blocks. This refines CIESIN’s Gridded Population of the World project, using machine learning models on high-resolution worldwide Digital Globe satellite imagery. More information.

There is also a tiled version of this dataset that may be easier to use if you are interested in many countries.