In 2023, roughly 1.49 billion adults worldwide had a net worth of less than 10,000 U.S. dollars. By comparison, 58 million adults had a net worth of more than one million U.S. dollars in the same year. Wealth distribution The distribution of wealth is an indicator of economic inequality. The United Nations says that wealth includes the sum of natural, human, and physical assets. Wealth is not synonymous with income, however, because having a large income can be depleted if one has significant expenses. In 2023, nearly 1,700 billionaires had a total wealth between one to two billion U.S. dollars. Wealth worldwide China had the highest number of billionaires in 2023, with the United States following behind. That same year, New York had the most billionaires worldwide.

Graph and download economic data for Net Worth Held by the Top 0.1% (99.9th to 100th Wealth Percentiles) (WFRBLTP1246) from Q3 1989 to Q1 2025 about net worth, wealth, percentile, Net, and USA.

Market leader Facebook was the first social network to surpass one billion registered accounts and currently sits at more than three billion monthly active users. Meta Platforms owns four of the biggest social media platforms, all with more than one billion monthly active users each: Facebook (core platform), WhatsApp, Facebook Messenger, and Instagram. In the third quarter of 2023, Facebook reported around four billion monthly core Family product users. The United States and China account for the most high-profile social platforms Most top ranked social networks with more than 100 million users originated in the United States, but services like Chinese social networks WeChat, QQ or video sharing app Douyin have also garnered mainstream appeal in their respective regions due to local context and content. Douyin’s popularity has led to the platform releasing an international version of its network: a little app called TikTok. How many people use social media? The leading social networks are usually available in multiple languages and enable users to connect with friends or people across geographical, political, or economic borders. In 2025, social networking sites are estimated to reach 5.42 billion users and these figures are still expected to grow as mobile device usage and mobile social networks increasingly gain traction in previously underserved markets.

By 2030, the middle-class population in Asia-Pacific is expected to increase from **** billion people in 2015 to **** billion people. In comparison, the middle-class population of sub-Saharan Africa is expected to increase from *** million in 2015 to *** million in 2030. Worldwide wealth While the middle-class has been on the rise, there is still a huge disparity in global wealth and income. The United States had the highest number of individuals belonging to the top one percent of wealth holders, and the value of global wealth is only expected to increase over the coming years. Around ** percent of the world’s population had assets valued at less than 10,000 U.S. dollars, while less than *** percent had assets of more than one million U.S. dollars. Asia had the highest percentage of investable assets in the world in 2018, whereas Oceania had the highest percentage of non-investable assets. The middle-class The middle class is the group of people whose income falls in the middle of the scale. China accounted for over half of the global population for middle-class wealth in 2017. In the United States, the debate about the middle class “disappearing” has been a popular topic due to the increase in wealth among the top billionaires in the nation. Due to this, there have been arguments to increase taxes on the rich to help support the middle class.

The Land Processes Distributed Active Archive Center (LP DAAC) is responsible for the archive and distribution of NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) Shuttle Radar Topography Mission (SRTM), which includes the global 1 arc second (~30 meter) number product. The NASA SRTM data sets result from a collaborative effort by the National Aeronautics and Space Administration (NASA) and the National Geospatial-Intelligence Agency (NGA - previously known as the National Imagery and Mapping Agency, or NIMA), as well as the participation of the German and Italian space agencies. This collaboration aims to generate a near-global digital elevation model (DEM) of Earth using radar interferometry. SRTM was the primary (and virtually only) payload on the STS-99 mission of the Space Shuttle Endeavour, which launched February 11, 2000 and flew for 11 days.The SRTM swaths extended from ~30 degrees off-nadir to ~58 degrees off-nadir from an altitude of 233 kilometers (km), creating swaths ~225 km wide, and consisted of all land between 60° N and 56° S latitude to account for 80% of Earth's total landmass.Ancillary one-byte (0 to 255) "NUM" (number) files were produced for NASA SRTM Version 3. These files have names corresponding to the elevation files, except with the extension ".NUM" (such as N37W105.NUM). The elevation files use the extension ".HGT", meaning height (such as N37W105.HGT). The separate NUM file indicates the source of each DEM pixel; the number of ASTER scenes used (up to 100), if ASTER; and the number of SRTM data takes (up to 24), if SRTM. The global 1 arc second number product is also available in NetCDF4 format as the SRTMGL1_NUMNC dataset and can be used with the corresponding SRTMGL1_NC elevation product.Known Issues Known issues in the NASA SRTM are described in the following publication: * Rodriguez, E., C. S. Morris, and J. E. Belz (2006), A global assessment of the SRTM performance, Photogramm. Eng. Remote Sens., 72, 249–260. https://doi.org/10.14358/PERS.72.3.249Improvements/Changes from Previous Version Voids in the Version 3.0 products have been filled with ASTER Global Digital Elevation Model (GDEM) Version 2.0, the Global Multi-resolution Terrain Elevation Data 2010 (GMTED2010), and the National Elevation Dataset (NED).

According to the Hurun Global Rich List 2025, the United States housed the highest number of billionaires worldwide in 2025. In detail, there were *** billionaires living in the United States as of January that year. By comparison, *** billionaires resided in China. India, the United Kingdom, and Germany were also the homes of a significant number of billionaires that year. United States has regained its first place As the founder and exporter of consumer capitalism, it is no surprise that the United States is home to a large number of billionaires. Although China had briefly overtaken the U.S. in recent years, the United States has reclaimed its position as the country with the most billionaires in the world. Moreover, North America leads the way in terms of the highest number of ultra high net worth individuals – those with a net worth of more than ***** million U.S. dollars. The prominence of Europe and North America is a reflection of the higher degree of economic development in those states. However, this may also change as China and other emerging economies continue developing. Female billionaires Moreover, the small proportion of female billionaires does little to counter critics claiming the global economy is dominated by an elite comprised mainly of men. On the list of the 20 richest people in the world, only one was a woman. Moreover, recent political discourse has put a great amount of attention on the wealth held by the super-rich with the wealth distribution of the global population being heavily unequal.

There are currently over 1.5 billion active users on TikTok worldwide.

Bangladesh HIES: Number of Household: Urban: 1 Member data was reported at 0.230 Unit mn in 2016. This records an increase from the previous number of 0.140 Unit mn for 2010. Bangladesh HIES: Number of Household: Urban: 1 Member data is updated yearly, averaging 0.120 Unit mn from Dec 2000 (Median) to 2016, with 4 observations. The data reached an all-time high of 0.230 Unit mn in 2016 and a record low of 0.050 Unit mn in 2000. Bangladesh HIES: Number of Household: Urban: 1 Member data remains active status in CEIC and is reported by Bangladesh Bureau of Statistics. The data is categorized under Global Database’s Bangladesh – Table BD.H004: Household Income and Expenditure Survey: Number of Household: by Size.

A global dataset on politicial leaders 1945-2020.

Variables

General identifiers

• country_name: name of the country.
• country_code_cow: numeric code of the country; taken from the Correlates of War project.
• year: year during which information is coded for December 31.

Variables on heads of government

• hog: name of the head of government; own coding mostly taken from Varieties of Democracy project (Coppedge et al. 2021), with supplementary information from Cahoon (2021), Schemmel (2021), and Lentz (1994).
• hog_ideology: economic ideology of the head of government; we primarily distinguish between “leftist”, “centrist”, and “rightist” heads of government; leftist heads of government are those that believe that the state should intervene into the economy to increase social equality, while rightist heads of government believe that the state should rarely intervene into the economy to increase the freedoms of their citizens; centrist heads of government hold middling beliefs on these questions; “no information” means that we were unable to identify the head of governments’ ideology; “none” means that our sources stated that the head of government had no economic ideology; “not applicable” means that we do not code a head of government for that country or year; own coding based on many sources, especially Armingeon et al. (2019), Brambor et al. (2017, version 1.6), Cahoon (2021), the Database of Political Institutions (Cruz et al. 2021), the Global Party Survey (Norris 2020), Huber and Stephens (2012), Lansford (2019), Manzano (2017), the Perspective Monde project (2021), Schemmel (2021), and V-Party (Lührmann et al. 2020); for more details, read my working paper or the country profiles.
• hog_ideology_num: numeric and reduced version of the head of government’s ideology; 0 = rightist, 1 = leftist, 2 = centrist, 3 = missing ideology; “missing ideology” combines heads of government with “no information” or “no(ne)” economic ideology.
• hog_right: 1 = head of government is rightist; 0 = otherwise.
• hog_left: 1 = head of government is leftist; 0 = otherwise.
• hog_center: 1 = head of government is centrist; 0 = otherwise.
• hog_noideo: 1 = head of government is non-ideological; 0 = otherwise.
• hog_noinfo: 1 = no information on head of government’s ideology; 0 = otherwise.
• hog_ideomiss: 1 = head of government is non-ideological or no information on their ideology; 0 = otherwise.
• hog_party: name of head of government’s party; own coding based on numerous sources, especially Mattes et al. (2016), Cahoon (2021), and Schemmel (2021); “none” if head of government is not affiliated with any party; specific names almost all taken from PartyFacts (Döring and Regel 2019).
• hog_party_abbr: name of head of government’s party, abbreviated; taken from PartyFacts (Döring and Regel 2019).
• hog_party_eng: name of head of government’s party, in English; taken from PartyFacts (Döring and Regel 2019).
• hog_party_id: identifying number of head of government’s party; taken from PartyFacts (Döring and Regel 2019).
• hog_title: head of government’s title; own coding most of the time taken from Varieties of Democracy project (Coppedge et al. 2021), with supplementary information from Cahoon (2021) and Schemmel (2021).

Variables on leaders

• leader: name of the leader; taken from Goemans et al. (2009, version 4.1) for years 1945 to 2015, and from Bell et al. (2021) for years 2016-2020.
• leader_ideology: economic ideology of the leader; I primarily distinguish between “leftist”, “centrist”, and “rightist” leaders; leftist leaders are those that believe that the state should intervene into the economy to increase social equality, while rightist leaders believe that the state should rarely intervene into the economy to increase the freedoms of their citizens; centrist leaders hold middling beliefs on these questions; “no information” means that we were unable to identify the leader’s ideology; “none” means that our sources stated that the leader had no economic ideology; “not applicable” means that we do not code a leader for that country or year; own coding based on many sources, especially Armingeon et al. (2019), Brambor et al. (2017, version 1.6), Cahoon (2021), the Database of Political Institutions (Cruz et al. 2021), the Global Party Survey (Norris 2020), Huber and Stephens (2012), Manzano (2017), the Perspective Monde project (2021), Schemmel (2021), and V-Party (Lührmann et al. 2020); for more details, read my working paper or the country profiles.
• leader_ideology_num: numeric and reduced version of the leader’s ideology; 0 = rightist, 1 = leftist, 2 = centrist, 3 = missing ideology; “missing ideology” combines leaders with “no information” or “no(ne)” economic ideology.
• leader_right: 1 = leader is rightist; 0 = otherwise.
• leader_left: 1 = leader is leftist; 0 = otherwise.
• leader_center: 1 = leader ...

GCOM-C/SGLI L3 Map Cloud top height (1-Day,1/12 deg) is obtained from the SGLI sensor onboard GCOM-C and produced by the Japan Aerospace Exploration Agency (JAXA). GCOM-C is Sun-synchronous sub-recurrent Orbit satellite launched on December 23, 2017, which mounts SGLI and conducts long-term global observations of geophysical variables related to the global climate system across 28 items including aerosol and vegetation over 4 areas of atmosphere, land, ocean, and cryosphere. The data will be used to contribute to higher accuracy of global warming prediction. The SGLI has swath of 1150 km in the visible band and 1400 km in the infrared band. Level 3 products are defined to be products derived from Level 1B and Level 2 products by statistically processing the Level 1B and Level 2 products in time and space domains. This dataset is daily map-projected statistics product. This dataset includes cloud top height. The physical quantity unit is km. The stored statistics values are average (AVE) and quality flag (QA_flag). The provided format is HDF5. The Spatial resolution is 1/12 degree. The statistical period is 1 day, also 8 days and 1 month statistics are available. The projection method is EQR. The generation unit is Global. The current version of the product is Version 3. The Version 2 is also available.

As of March 2025, Google represented 79.1 percent of the global online search engine market on desktop devices. Despite being much ahead of its competitors, this represents the lowest share ever recorded by the search engine in these devices for over two decades. Meanwhile, its long-time competitor Bing accounted for 12.21 percent, as tools like Yahoo and Yandex held shares of over 2.9 percent each. Google and the global search market Ever since the introduction of Google Search in 1997, the company has dominated the search engine market, while the shares of all other tools has been rather lopsided. The majority of Google revenues are generated through advertising. Its parent corporation, Alphabet, was one of the biggest internet companies worldwide as of 2024, with a market capitalization of 2.02 trillion U.S. dollars. The company has also expanded its services to mail, productivity tools, enterprise products, mobile devices, and other ventures. As a result, Google earned one of the highest tech company revenues in 2024 with roughly 348.16 billion U.S. dollars. Search engine usage in different countries Google is the most frequently used search engine worldwide. But in some countries, its alternatives are leading or competing with it to some extent. As of the last quarter of 2023, more than 63 percent of internet users in Russia used Yandex, whereas Google users represented little over 33 percent. Meanwhile, Baidu was the most used search engine in China, despite a strong decrease in the percentage of internet users in the country accessing it. In other countries, like Japan and Mexico, people tend to use Yahoo along with Google. By the end of 2024, nearly half of the respondents in Japan said that they had used Yahoo in the past four weeks. In the same year, over 21 percent of users in Mexico said they used Yahoo.

The climatic water content is calculated as previously described [1, 2] using the average number of consecutive dry days obtained from precipitation timeseries (MSWEP [3]), potential evapotranspiration [4] (based on WorldClim [5]) and soil information (SoilGrids [6]).
The maps are generated at 0.1° resolution with a global extent of -180 to 180 °E and -60 to 90 °N.

References
[1] Bickel, Samuel, Xi Chen, Andreas Papritz, and Dani Or. “A Hierarchy of Environmental Covariates Control the Global Biogeography of Soil Bacterial Richness.” Scientific Reports 9, no. 1 (August 20, 2019): 1–10. https://doi.org/10.1038/s41598-019-48571-w.
[2] Bickel, Samuel, and Dani Or. “Soil Bacterial Diversity Mediated by Microscale Aqueous-Phase Processes across Biomes.” Nature Communications 11, no. 1 (January 8, 2020): 1–9. https://doi.org/10.1038/s41467-019-13966-w.
[3] Beck, Hylke E., Eric F. Wood, Ming Pan, Colby K. Fisher, Diego G. Miralles, Albert I. J. M. van Dijk, Tim R. McVicar, and Robert F. Adler. “MSWEP V2 Global 3-Hourly 0.1° Precipitation: Methodology and Quantitative Assessment.” Bulletin of the American Meteorological Society 100, no. 3 (March 2019): 473–500. https://doi.org/10.1175/BAMS-D-17-0138.1.
[4] Jensen, M. E., and H. R. Haise. “Estimating Evapotranspiration from Solar Radiation.” Proceedings of the American Society of Civil Engineers, Journal of the Irrigation and Drainage Division 89, no. 0023 (1963): 15–41.
[5] Fick, Stephen E., and Robert J. Hijmans. “WorldClim 2: New 1-Km Spatial Resolution Climate Surfaces for Global Land Areas: New Climate Surfaces for Global Land Areas.” International Journal of Climatology 37, no. 12 (October 2017): 4302–15. https://doi.org/10.1002/joc.5086.
[6] Hengl, Tomislav, Jorge Mendes de Jesus, Gerard B. M. Heuvelink, Maria Ruiperez Gonzalez, Milan Kilibarda, Aleksandar Blagotić, Wei Shangguan, et al. “SoilGrids250m: Global Gridded Soil Information Based on Machine Learning.” PLOS ONE 12, no. 2 (February 16, 2017): e0169748. https://doi.org/10.1371/journal.pone.0169748.

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United States No. of Flights: MSP Terminal: 1 data was reported at 15.000 Unit in 16 May 2025. This records an increase from the previous number of 12.000 Unit for 15 May 2025. United States No. of Flights: MSP Terminal: 1 data is updated daily, averaging 0.000 Unit from May 2008 (Median) to 16 May 2025, with 5143 observations. The data reached an all-time high of 30.000 Unit in 05 Apr 2025 and a record low of 0.000 Unit in 14 Sep 2020. United States No. of Flights: MSP Terminal: 1 data remains active status in CEIC and is reported by U.S. Customs and Border Protection. The data is categorized under Global Database’s United States – Table US.TA: Airport Statistics: Number of Flights: by Airport. [COVID-19-IMPACT]

Yemen YE: Disaster Risk Reduction Progress Score: 1=Worst to 5=Best data was reported at 2.250 NA in 2011. Yemen YE: Disaster Risk Reduction Progress Score: 1=Worst to 5=Best data is updated yearly, averaging 2.250 NA from Dec 2011 (Median) to 2011, with 1 observations. Yemen YE: Disaster Risk Reduction Progress Score: 1=Worst to 5=Best data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Yemen – Table YE.World Bank.WDI: Land Use, Protected Areas and National Wealth. Disaster risk reduction progress score is an average of self-assessment scores, ranging from 1 to 5, submitted by countries under Priority 1 of the Hyogo Framework National Progress Reports. The Hyogo Framework is a global blueprint for disaster risk reduction efforts that was adopted by 168 countries in 2005. Assessments of 'Priority 1' include four indicators that reflect the degree to which countries have prioritized disaster risk reduction and the strengthening of relevant institutions.; ; (UNISDR, 2009-2011 Progress Reports, http://www.preventionweb.net/english/hyogo).; ;

With a market capitalization of 3.12 trillion U.S. dollars as of May 2024, Microsoft was the world’s largest company that year. Rounding out the top five were some of the world’s most recognizable brands: Apple, NVIDIA, Google’s parent company Alphabet, and Amazon. Saudi Aramco led the ranking of the world's most profitable companies in 2023, with a pre-tax income of nearly 250 billion U.S. dollars. How are market value and market capitalization determined? Market value and market capitalization are two terms frequently used – and confused - when discussing the profitability and viability of companies. Strictly speaking, market capitalization (or market cap) is the worth of a company based on the total value of all their shares; an important metric when determining the comparative value of companies for trading opportunities. Accordingly, many stock exchanges such as the New York or London Stock Exchange release market capitalization data on their listed companies. On the other hand, market value technically refers to what a company is worth in a much broader context. It is determined by multiple factors, including profitability, corporate debt, and the market environment as a whole. In this sense it aims to estimate the overall value of a company, with share price only being one element. Market value is therefore useful for determining whether a company’s shares are over- or undervalued, and in arriving at a price if the company is to be sold. Such valuations are generally made on a case-by-case basis though, and not regularly reported. For this reason, market capitalization is often reported as market value. What are the top companies in the world? The answer to this question depends on the metric used. Although the largest company by market capitalization, Microsoft's global revenue did not manage to crack the top 20 companies. Rather, American multinational retailer Walmart was ranked as the largest company in the world by revenue. Walmart also had the highest number of employees in the world.

United States No. of Flights: MCO Terminal: Airside 1 data was reported at 0.000 Unit in 16 May 2025. This stayed constant from the previous number of 0.000 Unit for 15 May 2025. United States No. of Flights: MCO Terminal: Airside 1 data is updated daily, averaging 0.000 Unit from Oct 2019 (Median) to 16 May 2025, with 1968 observations. The data reached an all-time high of 23.000 Unit in 26 Dec 2021 and a record low of 0.000 Unit in 16 May 2025. United States No. of Flights: MCO Terminal: Airside 1 data remains active status in CEIC and is reported by U.S. Customs and Border Protection. The data is categorized under Global Database’s United States – Table US.TA: Airport Statistics: Number of Flights: by Airport. [COVID-19-IMPACT]

United States No. of Flights: JFK Terminal: 1 data was reported at 35.000 Unit in 16 May 2025. This records a decrease from the previous number of 36.000 Unit for 15 May 2025. United States No. of Flights: JFK Terminal: 1 data is updated daily, averaging 0.000 Unit from May 2008 (Median) to 16 May 2025, with 6215 observations. The data reached an all-time high of 0.000 Unit in 16 May 2025 and a record low of 0.000 Unit in 16 May 2025. United States No. of Flights: JFK Terminal: 1 data remains active status in CEIC and is reported by U.S. Customs and Border Protection. The data is categorized under Global Database’s United States – Table US.TA: Airport Statistics: Number of Flights: by Airport. [COVID-19-IMPACT]

As of 2024, the estimated number of internet users worldwide was 5.5 billion, up from 5.3 billion in the previous year. This share represents 68 percent of the global population. Internet access around the world Easier access to computers, the modernization of countries worldwide, and increased utilization of smartphones have allowed people to use the internet more frequently and conveniently. However, internet penetration often pertains to the current state of development regarding communications networks. As of January 2023, there were approximately 1.05 billion total internet users in China and 692 million total internet users in the United States. Online activities Social networking is one of the most popular online activities worldwide, and Facebook is the most popular online network based on active usage. As of the fourth quarter of 2023, there were over 3.07 billion monthly active Facebook users, accounting for well more than half of the internet users worldwide. Connecting with family and friends, expressing opinions, entertainment, and online shopping are amongst the most popular reasons for internet usage.

Norway NO: Disaster Risk Reduction Progress Score: 1=Worst to 5=Best data was reported at 3.750 NA in 2011. Norway NO: Disaster Risk Reduction Progress Score: 1=Worst to 5=Best data is updated yearly, averaging 3.750 NA from Dec 2011 (Median) to 2011, with 1 observations. Norway NO: Disaster Risk Reduction Progress Score: 1=Worst to 5=Best data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Norway – Table NO.World Bank: Land Use, Protected Areas and National Wealth. Disaster risk reduction progress score is an average of self-assessment scores, ranging from 1 to 5, submitted by countries under Priority 1 of the Hyogo Framework National Progress Reports. The Hyogo Framework is a global blueprint for disaster risk reduction efforts that was adopted by 168 countries in 2005. Assessments of 'Priority 1' include four indicators that reflect the degree to which countries have prioritized disaster risk reduction and the strengthening of relevant institutions.; ; (UNISDR, 2009-2011 Progress Reports, http://www.preventionweb.net/english/hyogo).; ;