The net absorption in the data center market in the United States has soared since 2020. In 2024, the net absorption peaked at *** gigawatts, up from about *** gigawatt in the previous year. Net absorption is the capacity that was rented minus the capacity that became available during the period. In 2024, Atlanta recorded the highest net absorption among the leading markets in the United States.

PDS: Net Positions: Asset-Backed Securities: Other Asset-Backed Securities data was reported at 4.798 USD bn in 30 Apr 2025. This records an increase from the previous number of 4.674 USD bn for 23 Apr 2025. PDS: Net Positions: Asset-Backed Securities: Other Asset-Backed Securities data is updated weekly, averaging 4.139 USD bn from Apr 2013 (Median) to 30 Apr 2025, with 631 observations. The data reached an all-time high of 10.741 USD bn in 03 Apr 2013 and a record low of 2.398 USD bn in 20 Jan 2021. PDS: Net Positions: Asset-Backed Securities: Other Asset-Backed Securities data remains active status in CEIC and is reported by Federal Reserve Bank of New York. The data is categorized under Global Database’s United States – Table US.Z040: Primary Dealer Statistics: Net Positions.

PDS: Net Positions: Mortgage-Backed Securities: Federal Agency and GSE MBS: Federal Agency and GSE CMBS data was reported at 15.577 USD bn in 30 Apr 2025. This records an increase from the previous number of 14.930 USD bn for 23 Apr 2025. PDS: Net Positions: Mortgage-Backed Securities: Federal Agency and GSE MBS: Federal Agency and GSE CMBS data is updated weekly, averaging 6.315 USD bn from Apr 2013 (Median) to 30 Apr 2025, with 631 observations. The data reached an all-time high of 16.026 USD bn in 05 Feb 2025 and a record low of 2.332 USD bn in 07 Feb 2018. PDS: Net Positions: Mortgage-Backed Securities: Federal Agency and GSE MBS: Federal Agency and GSE CMBS data remains active status in CEIC and is reported by Federal Reserve Bank of New York. The data is categorized under Global Database’s United States – Table US.Z040: Primary Dealer Statistics: Net Positions.

Introduction

Authorize.Net Statistics: Authorize.Net, a top payment gateway under Visa, continues to be a favorite among small and medium businesses (SMBs) to date. Its strong payment processing, security features, integrations, and overall service make it a strong contender in the digital payment ecosystem.

Founded in 1996 and now a Visa subsidiary, Authorize.Net supports over 436,000 gateway merchants across North America and processes approximately USD 400 billion in annual payment volume, including USD 2.6 billion in transactions as of September 30, 2023.

The U.S. accounts for 93 % of its web traffic, with around 3.5 million visits per month, while mobile usage constitutes 46 % and desktop 54 % of total visits. The platform processes payments for more than 445,000 merchants globally, who collectively handle over USD 149 billion in transactions annually.

Authorize.Net processes multiple payment types, including major credit cards and e‑checks, and offers fraud detection, recurring billing, and developer APIs. Here, we have dissected the Authorize.Net Statistics performance and top metrics going into 2025 for you.

The O*NET Database contains hundreds of standardized and occupation-specific descriptors on almost 1,000 occupations covering the entire U.S. economy. The database, which is available to the public at no cost, is continually updated by a multi-method data collection program. Sources of data include: job incumbents, occupational experts, occupational analysts, employer job postings, and customer/professional association input.

Data content areas include:

• Worker Characteristics (e.g., Abilities, Interests, Work Styles)
• Worker Requirements (e.g., Education, Knowledge, Skills)
• Experience Requirements (e.g., On-the-Job Training, Work Experience)
• Occupational Requirements (e.g., Detailed Work Activities, Work Context)
• Occupation-Specific Information (e.g., Job Titles, Tasks, Technology Skills)

Spatial analysis and statistical summaries of the Protected Areas Database of the United States (PAD-US) provide land managers and decision makers with a general assessment of management intent for biodiversity protection, natural resource management, and recreation access across the nation. The PAD-US 3.0 Combined Fee, Designation, Easement feature class (with Military Lands and Tribal Areas from the Proclamation and Other Planning Boundaries feature class) was modified to remove overlaps, avoiding overestimation in protected area statistics and to support user needs. A Python scripted process ("PADUS3_0_CreateVectorAnalysisFileScript.zip") associated with this data release prioritized overlapping designations (e.g. Wilderness within a National Forest) based upon their relative biodiversity conservation status (e.g. GAP Status Code 1 over 2), public access values (in the order of Closed, Restricted, Open, Unknown), and geodatabase load order (records are deliberately organized in the PAD-US full inventory with fee owned lands loaded before overlapping management designations, and easements). The Vector Analysis File ("PADUS3_0VectorAnalysisFile_ClipCensus.zip") associated item of PAD-US 3.0 Spatial Analysis and Statistics ( https://doi.org/10.5066/P9KLBB5D ) was clipped to the Census state boundary file to define the extent and serve as a common denominator for statistical summaries. Boundaries of interest to stakeholders (State, Department of the Interior Region, Congressional District, County, EcoRegions I-IV, Urban Areas, Landscape Conservation Cooperative) were incorporated into separate geodatabase feature classes to support various data summaries ("PADUS3_0VectorAnalysisFileOtherExtents_Clip_Census.zip") and Comma-separated Value (CSV) tables ("PADUS3_0SummaryStatistics_TabularData_CSV.zip") summarizing "PADUS3_0VectorAnalysisFileOtherExtents_Clip_Census.zip" are provided as an alternative format and enable users to explore and download summary statistics of interest (Comma-separated Table [CSV], Microsoft Excel Workbook [.XLSX], Portable Document Format [.PDF] Report) from the PAD-US Lands and Inland Water Statistics Dashboard ( https://www.usgs.gov/programs/gap-analysis-project/science/pad-us-statistics ). In addition, a "flattened" version of the PAD-US 3.0 combined file without other extent boundaries ("PADUS3_0VectorAnalysisFile_ClipCensus.zip") allow for other applications that require a representation of overall protection status without overlapping designation boundaries. The "PADUS3_0VectorAnalysis_State_Clip_CENSUS2020" feature class ("PADUS3_0VectorAnalysisFileOtherExtents_Clip_Census.gdb") is the source of the PAD-US 3.0 raster files (associated item of PAD-US 3.0 Spatial Analysis and Statistics, https://doi.org/10.5066/P9KLBB5D ). Note, the PAD-US inventory is now considered functionally complete with the vast majority of land protection types represented in some manner, while work continues to maintain updates and improve data quality (see inventory completeness estimates at: http://www.protectedlands.net/data-stewards/ ). In addition, changes in protected area status between versions of the PAD-US may be attributed to improving the completeness and accuracy of the spatial data more than actual management actions or new acquisitions. USGS provides no legal warranty for the use of this data. While PAD-US is the official aggregation of protected areas ( https://www.fgdc.gov/ngda-reports/NGDA_Datasets.html ), agencies are the best source of their lands data.

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.

PDS: Net Positions: US Treasury (excl TIPS): Coupons: > 2<= 3 years data was reported at 10.847 USD bn in 30 Apr 2025. This records a decrease from the previous number of 13.354 USD bn for 23 Apr 2025. PDS: Net Positions: US Treasury (excl TIPS): Coupons: > 2<= 3 years data is updated weekly, averaging 2.313 USD bn from Apr 2013 (Median) to 30 Apr 2025, with 631 observations. The data reached an all-time high of 27.401 USD bn in 19 Feb 2025 and a record low of -16.279 USD bn in 31 May 2017. PDS: Net Positions: US Treasury (excl TIPS): Coupons: > 2<= 3 years data remains active status in CEIC and is reported by Federal Reserve Bank of New York. The data is categorized under Global Database’s United States – Table US.Z040: Primary Dealer Statistics: Net Positions.

Victoria’s Secret, one of the most well-known retailers of women’s lingerie in the world, had global net sales amounting to approximately 6.23 billion U.S. dollars in 2024. Until 2021, Victoria’s Secret was one of the flagship brands of American retailer, L Brands. In 2021, Victoria's Secret & Co. separated from its parent company L Brands. The development of an iconic fashion brand Victoria’s Secret was established in 1977 by American businessman Roy Raymond, who felt that traditional American department stores were not friendly enough towards men shopping for women’s lingerie. This led to the creation of Victoria’s Secret, which has grown into one of the most valuable apparel brands worldwide. The scale of operations of Victoria’s Secret is also impressive. As of February 1, 2025, the specialty retailer had 806 stores in operation throughout North America alone. The United States is the largest underwear market worldwide. The brand has a high awareness in the North American country, at 89 percent of online fashion consumers in 2024. The annual Victoria’s Secret Fashion Show also adds to the iconic nature of the brand, with a host of supermodels showcasing the brands’ latest ranges of merchandise.

Market Statistics - G10 Net Claims Incurred Ratio

Website analytics for www.cambridgeshire.net between 2009 and 2013

Market Statistics - G10b Net Claims Incurred Ratio - Direct Business

Historical dataset showing Tonga refugee statistics by year from N/A to N/A.

This statistic depicts the net income of Church & Dwight worldwide from 2009 to 2024. In 2024, Church & Dwight's global net income amounted to approximately 585.3 million U.S. dollars.

Local Government Statistics - General Statistics - Statement of Changes in Net Financial Assets (Net Debt) - Regional District - 2008. The Statistics schedules consist of data provided to the ministry by local governments in annual financial reporting forms. While the ministry does perform checks of the data, we do not guarantee its accuracy or validity. Users should contact local governments directly if confirmation is required. Beginning in 2002 the schedules have been amended to reflect Generally Accepted Accounting Procedures (GAAP) for local governments, thus they differ greatly from previous years. Regional District statistics use the current year assessments supplied by BC Assessment in April and revised population estimates certified by the Minister responsible. Data for previous years may be requested electronically.

Norway NO: School Enrollment: Primary: Male: % Net data was reported at 99.916 % in 2016. This records an increase from the previous number of 99.905 % for 2015. Norway NO: School Enrollment: Primary: Male: % Net data is updated yearly, averaging 98.999 % from Dec 1976 (Median) to 2016, with 37 observations. The data reached an all-time high of 99.916 % in 2016 and a record low of 84.050 % in 1997. Norway NO: School Enrollment: Primary: Male: % Net 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: Education Statistics. Net enrollment rate is the ratio of children of official school age who are enrolled in school to the population of the corresponding official school age. Primary education provides children with basic reading, writing, and mathematics skills along with an elementary understanding of such subjects as history, geography, natural science, social science, art, and music.; ; UNESCO Institute for Statistics; Weighted average; Each economy is classified based on the classification of World Bank Group's fiscal year 2018 (July 1, 2017-June 30, 2018).

Historical dataset showing Isle of Man hunger statistics by year from N/A to N/A.

Historical dataset showing Northern Mariana Islands hunger statistics by year from N/A to N/A.

The Global Estimated Net Migration by Decade: 1970-2000 data set provides estimates of net migration over the three decades from 1970 to 2000. Because of the lack of globally consistent data on migration, indirect estimation methods were used. The authors relied on a combination of data on spatial population distribution for four time slices (1970, 1980, 1990, and 2000) and subnational rates of natural increase in order to derive estimates of net migration on a 30 arc-second (~1km) grid cell basis. Net migration was estimated by subtracting the population in time period 2 from the population in time period 1, and then subtracting the natural increase (births minus deaths). The residual was considered to be net migration (in-migrants minus out-migrants). The authors ran 13 geospatial net migration estimation models based on outputs from the same number of imputation runs for urban and rural rates of natural increase.This data set represents the average of those runs. These data are reliable at broad scales of analysis (e.g. ecosystems or regions), but are generally not reliable for local level analyses. The data were produced for the United Kingdom Foresight project on Migration and Global Environmental Change.

Historical dataset showing Isle of Man refugee statistics by year from N/A to N/A.