This dataset is about companies in the United Kingdom, featuring 3 columns: company, employees, and Facebook link. The preview is ordered by revenues (descending).

This dataset is about companies in Mauritania, featuring 3 columns: company, employees, and Facebook link. The preview is ordered by revenues (descending).

The number of Facebook users in the United States was forecast to continuously increase between 2024 and 2028 by in total 12.6 million users (+5.04 percent). After the ninth consecutive increasing year, the Facebook user base is estimated to reach 262.8 million users and therefore a new peak in 2028. Notably, the number of Facebook users of was continuously increasing over the past years.User figures, shown here regarding the platform facebook, have been estimated by taking into account company filings or press material, secondary research, app downloads and traffic data. They refer to the average monthly active users over the period and count multiple accounts by persons only once.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to 150 countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).

This dataset is about companies in Ghana, featuring 3 columns: company, employees, and Facebook link. The preview is ordered by revenues (descending).

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.

More than 200 million businesses use Facebook globally. The goal of Meta’s quarterly Small Business Surveys is to learn about the unique perspectives, challenges and opportunities of small and medium-sized businesses (SMBs).

The Future of Business (FoB) Survey is conducted biannually in partnership with the World Bank and the Organisation for Economic Cooperation and Development (OECD) across nearly 100 countries. The target population consists of SMEs that have an active Facebook Business Page and include both newer and longer-standing businesses, spanning across a variety of sectors. Meta also conducts the Global State of Small Business (GSoSB) Survey bi-annually in partnership with various academic partners across approximately 30 countries. Similarly to the FoB Survey, the target population is active Facebook Page Administrators, but also includes the general population of Facebook users.

Survey questions for all surveys cover a range of topics depending on the survey wave such as business characteristics, challenges, financials and strategy in addition to custom modules related to regulation, gender inequity, access to finance, digital technologies, reduction in revenues, business closures, international trade, inflation, reduction of employees and challenges/needs of the business.

Aggregated country level data for each survey wave is available to the public on HDX and controlled access microdata is available to Data for Good at Meta partners. Please visit https://dataforgood.facebook.com/dfg/tools/future-of-business-survey to apply for access to microdata or contact dataforgood@fb.com for any questions.

Kerala Budget 2023-24: Staff Appendix Organization Kerala Budget 2023-24 This section provides budget documents of Kerala for the year 2023-24. read more Social Google+ Twitter Facebook License Creative Commons Attribution Dataset Description Kerala Budget 2023-24: Staff Appendix

This is a collection of 15 qualitative interviews with families who currently host or have hosted an au pair in the UK. The interviews asked about motivations for hosting an au pairs, how the au pair fits in to family life and how hosting an au pair to carry out childcare fits with hosts' childcare philosophies. This project investigates the lives of au pairs and host families in the UK. Au pairs are now depended upon by thousands of British households to provide childcare and help with housework and there is evidence that au pairs are now less distinguishable from other domestic workers. However, au pairs are not protected by employment law. They have no right to a minimum wage, nor defined maximum working hours nor a right to holidays. The project aims are: to investigate the effects of changes to recent UK immigration legislation on the supply of au pairs within the UK. to examine the place of au pairing in the life and work trajectories of au pairs. to evaluate the subjective experience of au pairs. to examine understandings of au pairing within host families’ narratives of (good) parenting. The project uses four methods: an on-line survey and analysis of existing data to provide an overview of the nature and extent of au pairing in the UK; in-depth interviews with au pairs to explore their experiences; interviews with host families to uncover how au pairing to fits with their identity as parents and interviews with key informants to provide context. We interviewed 15 au pair hosts who between them had hosted over 50 au pairs over a number of years We aimed to interview 40 people (men and women) who had employed or who currently did employ someone they identified as an ‘au pair’ We were surprised to find that making contact with employers of au pairs who were prepared to be interviewed about their experiences was one of the most challenging aspects of the project. The surprise was because based on experiences of previous research projects we had assumed that we would be able to make contact with employers more easily through agencies, personal contacts, advertising on websites such as mumsnet and through snowballing. However, we found this was not the case and it was a frustrating aspect of the project. We offered a £10 M&S voucher to all those interviewed. Agencies We contacted au pair agencies to ask if we could send out a flier to employers on their books but we had no response. We attempted to make contact with employers by posting ads on facebook pages used by families seeking an au pair and by placing ads on sites such as mumsnet and netmums. We had no success with the facebook postings and very limited success with the ad on mumsnet. We found the only reliable method for recruiting employers willing to be interviewed was through personal contacts and word of mouth. This was limited to the number of people who fit the criteria for interview that we knew or could make contact with through friends and contacts. Also, for one of the two interviews who drew on contacts through her neighbourhood network and through her children’s school, this risked blurring boundaries between personal and professional and meant that she felt uncomfortable with interviewing people she had daily contact with.

Kerala Budget 2021-22: Staff Appendix Organization Kerala Budget 2021-22 This section provides budget documents of Kerala for the year 2021-22. read more Social Google+ Twitter Facebook Dataset Description Kerala Budget 2021-22: Staff Appendix

Kerala Budget 2024-25: Appendix I to the detailed Budget Estimates - Details of Staff Organization Kerala Budget 2024-25 This section provides budget documents of Kerala for the year 2024-25. read more Social Google+ Twitter Facebook License Creative Commons Attribution Dataset Description Kerala Budget 2024-25: Appendix I to the detailed Budget Estimates - Details of Staff

Objectives: The full-scale Russian invasion of Ukraine resulted in a refugee crisis. The terms of employment of Ukrainian Refugee background Medical Professionals (UKR-MPs) in the Polish healthcare system were liberalised. The aim of the study was to identify challenges in job seeking and the integration of Ukrainian war refugee healthcare workers into the Polish healthcare system.Methods: A qualitative, descriptive study based on content thematic analysis of Facebook content. We analyzed 1,700 posts published on two public Facebook groups intended for UKR-MPs.Results: The most common problems encountered by UKR-MPs were: 1) lack of easy-to-understand information about the list of documents necessary to apply for a work permit, 2) lack of feedback from those responsible for handling individual cases, and 3) long waiting time for the decision issued by the Ministry of Health.Conclusion: Despite the promptly implemented solutions enabling access to the job market by UKR-MPs, the refugees have encountered considerable administrative difficulties, as well as those arising from insufficient knowledge of the regulations on working as medical professionals in Poland under the EU law.

Kerala Budget 2019-20: Staff Appendix Organization Kerala Budget 2019-20 This section provides budget documents of Kerala for the year 2019-20. read more Social Google+ Twitter Facebook Dataset Description Kerala Budget 2019-20: Staff Appendix

Kerala Budget 2018-19: Staff Appendix Organization Kerala Budget 2018-19 This section provides budget documents of Kerala for the year 2018-19. read more Social Google+ Twitter Facebook Dataset Description Kerala Budget 2018-19: Staff Appendix

Since it is difficult to determine whether social media content moderators have assessed particular content, it is hard to evaluate the consistency of their decisions within platforms. We study a dataset of 1,035 posts on Facebook and Twitter to investigate this question. The posts in our sample made 78 misleading claims related to the U.S. 2020 presidential election. These posts were identified by the Election Integrity Partnership, a coalition of civil society groups, and sent to the relevant platforms, where employees confirmed receipt. The platforms labeled some (but not all) of these posts as misleading. For 69% of the misleading claims, Facebook consistently labeled each post that included one of those claims—either always or never adding a label. It inconsistently labeled the remaining 31% of misleading claims. The findings for Twitter are nearly identical: 70% of the claims were labeled consistently, and 30% inconsistently. We investigated these inconsistencies and found that based on publicly available information, most of the platforms’ decisions were arbitrary. However, in about a third of the cases we found plausible reasons that could explain the inconsistent labeling, although these reasons may not be aligned with the platforms’ stated policies. Our strongest finding is that Twitter was more likely to label posts from verified users, and less likely to label identical content from non-verified users. This study demonstrates how academic–industry collaborations can provide insights into typically opaque content moderation practices.

The increasing popularity and use of digital platforms and social media such as WhatsApp, Facebook, YouTube and Instagram are opening up new opportunities for children, young people and adults to pursue cultural interests or to stage themselves aesthetically. If we focus on young people between the ages of 12 and 19, a number of studies on media use show that YouTube in particular has become the leading medium for this age group. Given the growth in importance of this web video platform, questions arise about the receptive and productive content of experience and the significance of cultural content and practices. Furthermore, there are hardly any findings on the extent to which YouTube stimulates young people to engage in cultural activities and self-organized learning processes. The sample is composed of n=818 adolescents aged 12-19 years. The selection of the study units was based on a quota procedure. The adolescent target subjects were recruited via the IFAK interviewer staff according to predefined quotas for age, gender, region, place size class, type of school attended (for students), and occupation (for non-students). The characteristics "age and gender" and "region and place size" were crossed or combined with each other to produce as accurate a representation of the population as possible. The characteristic "migration background" was not used as a quota characteristic. The specifications for this are based on the latest data from the Federal Statistical Office and ma Radio 2018 II. The structural composition of the sample corresponds to the data for the population according to the characteristics mentioned. The study was conducted as a face-to-face oral survey. The answers of the young people were recorded by an interviewer on a laptop via a corresponding survey program. 111 face-to-face interviewers from the in-house interviewing staff, who have experience in interviewing children and adolescents, were used. The predefined questionnaire was binding for all interviewers with regard to the wording and sequence of questions. The maximum number of interviews per interviewer was n=10. Each interviewer received a detailed written briefing on the project at the beginning of the study. Die zunehmende Verbreitung und Nutzung digitaler Plattformen und sozialer Medien wie z. B. WhatsApp, Facebook, YouTube oder Instagram eröffnen Kindern, Jugendlichen und Erwachsenen neue Möglichkeiten, kulturellen Interessen nachzugehen oder sich ästhetisch zu inszenieren. Richtet man seinen Blick auf Jugendliche im Alter von 12 bis 19 Jahren, so zeigt eine Reihe von Studien zur Mediennutzung, dass sich insbesondere YouTube zum Leitmedium dieser Altersgruppe entwickelt hat. Angesichts des Bedeutungszuwachses dieser Webvideo-Plattform stellen sich Fragen nach den rezeptiven und produktiven Erfahrungsgehalten sowie der Bedeutung kultureller Inhalte und Praktiken. Weiterhin existieren kaum Erkenntnisse darüber, inwiefern YouTube die Jugendlichen zu kulturellen Aktivitäten und selbstorganisierten Lernprozessen anregt. Die Stichprobe setzt sich aus n=818 Jugendlichen im Alter von 12-19 Jahren zusammen. Die Auswahl der Untersuchungseinheiten erfolgte auf der Grundlage eines Quotenverfahrens. Die Rekrutierung der jugendlichen Zielpersonen erfolgte über den IFAK-Interviewerstab nach vorgegeben Quoten für Alter, Geschlecht, Region, Ortsgrößenklasse, besuchter Schultyp (bei Schülern) und Berufstätigkeit (bei Nicht-Schülern). Dabei wurden die Merkmale „Alter und Geschlecht“ sowie „Region und Ortsgröße“ gekreuzt bzw. miteinander kombiniert, um ein möglichst genaues Abbild der Grundgesamtheit herzustellen.Das Merkmal „Migrationshintergrund“ wurde nicht als Quotierungsmerkmal herangezogen. Die Vorgaben hierfür basieren auf den aktuellsten Angaben des Statistischen Bundesamtes und der ma Radio 2018 II. Die strukturelle Zusammensetzung der Stichprobe entspricht nach den genannten Merkmalen den Daten für die Grundgesamtheit. Die Studie wurde als persönlich-mündliche Befragung durchgeführt. Die Antworten der Jugendlichen wurden dabei über ein entsprechendes Befragungsprogramm von einem Interviewer auf einem Laptop erfasst. Zum Einsatz kamen 111 face-to-face Interviewer aus dem hauseigenen Interviewerstab, die Erfahrungen mit der Befragung von Kindern und Jugendlichen haben. Der vorgegebene Fragebogen war im Hinblick auf Wortlaut und Reihenfolge der Fragen für alle Interviewer verbindlich. Die maximale Anzahl an Interviews pro Interviewer lag bei n=10. Jeder Interviewer erhielt zu Beginn der Studie eine detaillierte schriftliche Einweisung in das Projekt.

Kerala Budget 2014-15: Staff Appendix Organization Kerala Budget 2014-15 This section provides budget documents of Kerala for the year 2014-15. read more Social Google+ Twitter Facebook Dataset Description Kerala Budget 2014-15: Staff Appendix

This statistic shows a ranking of the estimated number of Facebook users in 2020 in Africa, differentiated by country. The user numbers have been estimated by taking into account company filings or press material, secondary research, app downloads and traffic data. They refer to the average monthly active users over the period and count multiple accounts by persons only once.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in more than 150 countries and regions worldwide. All input data are sourced from international institutions, national statistical offices, and trade associations. All data has been are processed to generate comparable datasets (see supplementary notes under details for more information).

The number of Facebook users in India was forecast to continuously increase between 2024 and 2028 by in total 59.2 million users (+8.7 percent). After the ninth consecutive increasing year, the Facebook user base is estimated to reach 739.66 million users and therefore a new peak in 2028. Notably, the number of Facebook users of was continuously increasing over the past years.User figures, shown here regarding the platform facebook, have been estimated by taking into account company filings or press material, secondary research, app downloads and traffic data. They refer to the average monthly active users over the period and count multiple accounts by persons only once.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to 150 countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).Find more key insights for the number of Facebook users in countries like Nepal and Pakistan.

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.

In 2024, Meta Platforms generated a revenue of over 164 billion U.S. dollars, up from 134 billion USD in 2023. The majority of Meta’s profits come from its advertising revenue.Meta’s total Family of Apps revenue for 2022 amounted to 114 billion U.S. dollars. Additionally, Meta’s Reality Labs, the company’s VR division, generated around 2.1 billion dollars. Meta’s marketing expenditure for 2022 amounted to just over 15 billion U.S. dollars, up from 14 billion U.S. dollars in the previous year. Increasing audience base despite privacy misgivings Meta’s user numbers have continued to grow steadily throughout past years. In the fourth quarter of 2022, there was a total of 3.74 billion worldwide users across all of Meta’s platforms. For this same time frame, the company recorded 407 million monthly active users across Europe. Downloads of Meta’s app Oculus, for which virtual reality headsets are required, increased greatly from 2020 to 2021, reaching a total of 10.62 million downloads by the end of last year. Up until 2021, downloads had grown in a steady manner but from 2020 to 2021, they more than doubled.User numbers have increased despite data security issues and past controversy such as the Cambridge Analytica scandal in 2018. There remains skepticism surrounding the idea of the metaverse in which Meta aims to immerse itself. Of surveyed adults in the United States, the majority said that they were concerned about their privacy if Meta were to succeed in creating the metaverse.