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.

Population and other demographic information is collected by the US Census Bureau.

View the US Census Bureau's Quick Facts page about Bloomington, Indiana at https://www.census.gov/quickfacts

The Demographic Profile and other data for Bloomington can be viewed or downloaded from the American FactFinder search tool: https://factfinder.census.gov/bkmk/cf/1.0/en/place/Bloomington city, Indiana/POPULATION/DECENNIAL_CNT

The Census Bureau is creating a new platform for data. This site is in a preview stage and some parts are under construction. Here is a link for Bloomington: https://data.census.gov/cedsci/results/all?q=Bloomington%20city,%20Indiana&g=1600000US1805860&ps=app*from@SINGLE_SEARCH

The City webpage for Census data contains other related information: https://bloomington.in.gov/about/census-data

Summary File 1 Data Profile 1 (SF1 Table DP-1) for Census Tracts in the Minneapolis-St. Paul 7 County metropolitan area is a subset of the profile of general demographic characteristics for 2000 prepared by the U.S. Census Bureau.

This table (DP-1) includes: Sex and Age, Race, Race alone or in combination with one or more otehr races, Hispanic or Latino and Race, Relationship, Household by Type, Housing Occupancy, Housing Tenure

US Census 2000 Demographic Profiles: 100-percent and Sample Data

The profile includes four tables (DP-1 thru DP-4) that provide various demographic, social, economic, and housing characteristics for the United States, states, counties, minor civil divisions in selected states, places, metropolitan areas, American Indian and Alaska Native areas, Hawaiian home lands and congressional districts (106th Congress). It includes 100-percent and sample data from Census 2000. The DP-1 table is available as part of the Summary File 1 (SF 1) dataset, and the other three tables are available as part of the Summary File 3 (SF 3) dataset.

The US Census provides DP-1 thru DP-4 data at the Census tract level through their DataFinder search engine. However, since the Metropolitan Council and MetroGIS participants are interested in all Census tracts within the seven county metropolitan area, it was quicker to take the raw Census SF-1 and SF-3 data at tract levels and recreate the DP1-4 variables using the appropriate formula for each DP variable. This file lists the formulas used to create the DP variables.

This website provides demographic information about laboratories, including CLIA number, facility name and address, where the laboratory testing is performed, the type of CLIA certificate, and the date the certificate expires. This list is updated monthly and represents the information in the system at the time of update. For additional information about a particular laboratory, contact the appropriate State Agency or Regional Office CLIA contact (refer to State Agency or Regional Office CLIA link found on the left-hand navigation pane).

Advertising Market Outlook

The global advertising market size was valued at approximately $700 billion in 2023 and is projected to reach around $1.2 trillion by 2032, growing at a CAGR of about 6.2% during the forecast period. The primary growth factor driving this market is the rapid expansion of digital platforms and the increasing importance of targeted advertising. The proliferation of smartphones and the internet has significantly transformed the advertising landscape, enabling advertisers to reach their audience more efficiently and effectively.

A major growth factor for the advertising market is the ever-increasing penetration of digital devices and internet connectivity. With more than half of the global population now having access to the internet, advertisers have an unprecedented opportunity to reach a vast audience. The rise of social media platforms, search engines, and video-sharing sites has further enabled highly targeted and measurable advertising campaigns, which have proven to be more efficient and cost-effective compared to traditional advertising methods.

Another significant driver is the advancements in data analytics and artificial intelligence. These technologies allow advertisers to analyze vast amounts of consumer data to understand behavior patterns and preferences, enabling them to create highly personalized and relevant advertisements. AI-driven programmatic advertising is gaining traction, as it automates the buying process of ads and optimizes them in real-time based on performance metrics, thus ensuring higher engagement rates and better ROI.

The shift towards mobile advertising also contributes significantly to market growth. With the increasing use of smartphones and mobile applications, advertisers are focusing more on mobile platforms to reach consumers. Mobile advertising offers unique advantages such as location-based targeting and the use of interactive content, which can enhance user engagement. Additionally, the development of 5G technology is expected to further boost mobile advertising by providing faster data speeds and more reliable connections, creating new opportunities for innovative ad formats.

In the evolving landscape of advertising, Experiential Advertising Agency Services have become increasingly vital. These services focus on creating immersive and interactive experiences that engage consumers on a deeper emotional level. By leveraging experiential marketing, brands can foster stronger connections with their audience, leading to enhanced brand loyalty and advocacy. This approach allows consumers to experience a brand's message firsthand, often through events, pop-up installations, or interactive digital experiences. As the advertising market continues to grow, the demand for experiential services is likely to rise, offering unique opportunities for brands to differentiate themselves in a crowded marketplace.

Regionally, the Asia Pacific region is emerging as a significant market for advertising, driven by the expanding middle-class population, increasing urbanization, and growing internet penetration. Countries like China and India are experiencing rapid growth in digital advertising, fueled by their large populations and thriving e-commerce sectors. North America and Europe continue to be mature markets with substantial advertising spending, particularly in digital formats. The Middle East & Africa and Latin America are also witnessing growth, albeit at a slower pace, as they gradually adopt digital advertising technologies.

Type Analysis

The advertising market is segmented by type, which includes Digital Advertising, Traditional Advertising, Out-of-Home Advertising, and Others. Digital advertising has seen the most rapid growth and is expected to continue dominating the market. It encompasses various formats such as display ads, video ads, social media ads, search engine marketing, and more. The key advantage of digital advertising is its ability to target specific demographics and measure campaign performance in real-time, providing valuable insights for advertisers. This segment's growth is further fueled by increasing internet usage and the proliferation of digital content platforms.

Traditional advertising, which includes print media, television, and radio, still holds a significant share of the market. Television remains a powerful medium for reaching a broad audience, especially for brand-building campai

Summary File 3 Data Profile 2 (SF3 Table DP-2) for Census Tracts in Minneapolis-St. Paul 7 County metropolitan area is a subset of the profile of selected social characteristics for 2000 prepared by the U.S. Census Bureau.

This table (DP-2) includes: School Enrollment, Educational Attainment, Marital Status, Grandparents as Caregivers, Veteran Status, Disability Status of the Civilian Noninstitutionalized Population, Residence in 1995, Nativity and Place of Birth, Region of Birth of Foreign Born, Language Spoken At Home, Ancestry

US Census 2000 Demographic Profiles: 100-percent and Sample Data

The profile includes four tables (DP-1 thru DP-4) that provide various demographic, social, economic, and housing characteristics for the United States, states, counties, minor civil divisions in selected states, places, metropolitan areas, American Indian and Alaska Native areas, Hawaiian home lands and congressional districts (106th Congress). It includes 100-percent and sample data from Census 2000. The DP-1 table is available as part of the Summary File 1 (SF 1) dataset, and the other three tables are available as part of the Summary File 3 (SF 3) dataset.

The US Census provides DP-1 thru DP-4 data at the Census tract level through their DataFinder search engine. However, since the Metropolitan Council and MetroGIS participants are interested in all Census tracts within the seven county metropolitan area, it was quicker to take the raw Census SF-1 and SF-3 data at tract levels and recreate the DP1-4 variables using the appropriate formula for each DP variable. This file lists the formulas used to create the DP variables.

Due to limitations of the search engine, age groups are overlapping and thus the total number of profiles is higher than the (correct) total of profiles.

Introduction

Blogging Statistics: The process of creating and publishing content on a website or platform in the form of posts and articles is termed blogging. Blogging mostly helps businesses to connect with their audience, or an individual sharing personal insights, blogging offers an unmatched opportunity to reach the world. On December 17, 1997, “weblog†was first coined by Jorn Barger, followed by “blog† by Peter Merholz in 1999.

As social media and technological involvement increased, blogging became a vital tool for individuals and businesses to build audiences, grow brands, and share ideas with the world.

This article explores the essentials of successful blogging, starting from the global market analysis and choosing the right niche to creating engaging content that resonates with readers and search engines alike.

According to a 2021 survey in the United Kingdom, 64 percent of respondents who used the internet (but not social media) for news said they go directly to the website or app of a news provider. The 16 to 24-year-old age group were much more likely than over 65s to go to a search engine and search for a news story.

Summary File 3 Data Profile 3 (SF3 Table DP-3) for Minneapolis-St. Paul 7 County metropolitan area is a subset of the profile of selected economic characteristics for 2000 prepared by the U. S. Census Bureau.

This table (DP-3) includes: Employment Status, Commuting to Work, Occupation, Industry, Class of Worker, Income in 1999, Median earnings, Number Below Poverty Level, Poverty Status in 1999, For Whom Poverty Status is Determined

US Census 2000 Demographic Profiles: 100-percent and Sample Data

The profile includes four tables (DP-1 thru DP-4) that provide various demographic, social, economic, and housing characteristics for the United States, states, counties, minor civil divisions in selected states, places, metropolitan areas, American Indian and Alaska Native areas, Hawaiian home lands and congressional districts (106th Congress). It includes 100-percent and sample data from Census 2000. The DP-1 table is available as part of the Summary File 1 (SF 1) dataset, and the other three tables are available as part of the Summary File 3 (SF 3) dataset.

The US Census provides DP-1 thru DP-4 data at the Census tract level through their DataFinder search engine. However, since the Metropolitan Council and MetroGIS participants are interested in all Census tracts within the seven county metropolitan area, it was quicker to take the raw Census SF-1 and SF-3 data at tract levels and recreate the DP1-4 variables using the appropriate formula for each DP variable. This file lists the formulas used to create the DP variables.

Summary File 3 Data Profile 4 (SF3 Table DP-4) for Census Tracts in the Minneapolis-St. Paul 7 County metropolitan area is a subset of the profile of selected housing characteristics for 2000 prepared by the U. S. Census Bureau.

This table (DP-4) includes: Units in Structure, Year Structure Built, Rooms, Year Householder Moved into Unit, Vehicles Available, House Heating Fuel, Selected Characteristics, Occupants per Room, Value, Mortgage Status and Selected Monthly Owner Costs, Selected Monthly Owner Costs as a Percentage of Household Income in 1999, Gross Rent, Gross Rent as a Percentage of Household Income in 1999

US Census 2000 Demographic Profiles: 100-percent and Sample Data

The profile includes four tables (DP-1 thru DP-4) that provide various demographic, social, economic, and housing characteristics for the United States, states, counties, minor civil divisions in selected states, places, metropolitan areas, American Indian and Alaska Native areas, Hawaiian home lands and congressional districts (106th Congress). It includes 100-percent and sample data from Census 2000. The DP-1 table is available as part of the Summary File 1 (SF 1) dataset, and the other three tables are available as part of the Summary File 3 (SF 3) dataset.

The US Census provides DP-1 thru DP-4 data at the Census tract level through their DataFinder search engine. However, since the Metropolitan Council and MetroGIS participants are interested in all Census tracts within the seven county metropolitan area, it was quicker to take the raw Census SF-1 and SF-3 data at tract levels and recreate the DP1-4 variables using the appropriate formula for each DP variable. This file lists the formulas used to create the DP variables.

This report presents the results from a new Eurobarometer survey that considers one aspect of e-commerce and the digital market: selling goods and services online. In particular, it focusses on retail and services SMEs in 10 Member States, and their use of search engines and online marketplaces to sell their goods and services.

The results by volumes are distributed as follows:

• Volume A: Countries
• Volume AA: Groups of countries
• Volume A' (AP): Trends
• Volume AA' (AAP): Trends of groups of countries
• Volume B: EU/socio-demographics
• Volume B' (BP) : Trends of EU/ socio-demographics
• Volume C: Country/socio-demographics ---- Researchers may also contact GESIS - Leibniz Institute for the Social Sciences: https://www.gesis.org/eurobarometer

Internet Advertising Market Outlook

In 2023, the global internet advertising market size was valued at approximately USD 500 billion and is expected to reach nearly USD 1.3 trillion by 2032, growing at a compound annual growth rate (CAGR) of 11.2%. One of the primary growth factors driving this remarkable expansion is the rapid digitalization across various sectors coupled with increased internet penetration worldwide.

The exponential rise in smartphone users has significantly contributed to the growth of the internet advertising market. With more than 4 billion people using the internet globally, businesses are increasingly leveraging online platforms to reach a broader audience. The growth of e-commerce and the shift in consumer behavior towards online shopping have further fueled the demand for digital advertising. Brands are investing heavily in online advertisements to capture the attention of potential customers, thereby driving market growth.

Another crucial factor propelling the market is the advancements in artificial intelligence and data analytics. These technologies enable advertisers to target specific demographics more efficiently, optimize ad spend, and measure the effectiveness of their campaigns in real-time. Personalized advertising and programmatic ad buying are becoming mainstream, making digital advertising more effective and efficient. These innovations are not only enhancing user experience but also providing a higher return on investment for advertisers.

The proliferation of social media platforms has also played a pivotal role in the expansion of the internet advertising market. Social media advertising allows brands to engage with their audience interactively and build a loyal customer base. Platforms like Facebook, Instagram, and Twitter offer sophisticated targeting options and analytics tools, making it easier for businesses to reach their ideal customers. Influencer marketing on social media has also gained traction, with brands collaborating with influencers to promote their products and services, thereby increasing their reach and credibility.

Regionally, North America dominates the internet advertising market due to the high internet penetration, advanced technological infrastructure, and the presence of major market players. However, the Asia Pacific region is expected to witness the highest growth rate during the forecast period. The rapid economic development, increasing internet user base, and growing adoption of smartphones in countries like China and India are driving the market in this region. Furthermore, the rising popularity of social media platforms and the growing e-commerce sector in the Asia Pacific are expected to boost the demand for digital advertising.

Ad Format Analysis

Search engine advertising remains one of the most significant segments within the internet advertising market. This form of advertising, which includes pay-per-click (PPC) ads and search engine marketing (SEM), allows businesses to place advertisements on search engine results pages (SERPs). The growing reliance on search engines for information and product discovery has made search engine advertising a vital tool for businesses to drive traffic to their websites. Companies invest in this format to capitalize on the high intent of users actively searching for relevant products or services, thus achieving better conversion rates.

Display advertising, which includes banner ads, rich media, and interactive ads, continues to be a prominent segment due to its visually appealing nature. This format helps businesses create brand awareness and engage users through compelling visuals and messages. Innovations such as dynamic creative optimization (DCO) have enhanced the effectiveness of display ads by personalizing content based on user behavior and preferences. Moreover, programmatic advertising, which automates the buying and selling of ad space, has made display advertising more efficient and targeted.

Social media advertising has emerged as a dominant force in the internet advertising market. Platforms such as Facebook, Instagram, LinkedIn, and Twitter offer businesses sophisticated tools to target their desired audience based on demographics, interests, and online behavior. This segment's growth is fueled by the increasing time spent by users on social media and the platforms' ability to offer precise audience segmentation and detailed analytics. Additionally, influencer marketing, where brands collaborate with social media influencers to promote their products, has gained popularity, further driving

Invasive species pose significant threats to ecosystems and human industry and are being rapidly exacerbated by increased globalization and climate change. Effective monitoring of invasive species is crucial for control and eradication efforts, but traditional methods can be costly and resource-intensive. Here, we explore the use of Google Trends, a tool quantifying internet searches made on the Google search engine, to monitor the spread of the spotted lanternfly (Lycorma delicatula), a recent invasive insect in the United States that has resulted in a number of negative ecological and agricultural effects. We analyzed Google search data for this species from 2014 to 2022 and compared it to official occurrence data pooled from a variety of government and citizen science-based sources. Our results show a significant positive relationship between the number of Google searches and the presence of the spotted lanternfly. Yearly patterns in Google search data align with observed population sizes, and seasonal patterns with the emergence of mature adult spotted lanternflies. Our results indicate that Google Trends may be particularly useful in complementing traditional monitoring methods. We discuss its efficacy in monitoring the spotted lanternfly invasion in particular as well as possible considerations and limitations of this approach generally. In total, this approach could enhance future monitoring of the spotted lanternfly and possibly other invasive species to better inform conservation efforts

As of September 2023, Google led the search engine market in Singapore with a **** percent share of the market. Bing and Yahoo! followed with minor market shares in the same year.

Demographic findings of preliminary survey.

Due to limitations of the search engine, age groups were overlapping, and thus the total number of profiles is higher than the (correct) total of profiles as stated on the website.

Demographic details of the responses for the questionnaire.

BackgroundClinical trials play a critical role in providing patients with access to novel treatments and therapies. However, limitations in clinical trial search engines impede healthcare professionals and patients from accessing the most suitable clinical trials. This study aimed to address this issue by conducting a critical analysis of several prominent clinical trial search websites, including ClinicalTrials.gov, Canadian Cancer Trials, Clinical Trials Ontario, Canadian Cancer Clinical Trials Network, and Q-CROC.MethodsTo identify areas for improvement, three skilled clinical trials navigators independently curated clinical trial searches for 18 cancer patients over a 2-month period. After verifying patients’ eligibility for enrollment in clinical trials, the navigators documented their search outcomes and identified several limitations in the current search engines.ResultsCareful curation of clinical trials for 18 patients revealed 247 trials. However, 140 eligible trials out of 247 (57% with 95% binomial confidence interval [50%, 63%]) were found only on alternative websites yet not discoverable on the initial ClinicalTrials.gov searches, even though they were listed on ClinicalTrials.gov. Our study revealed multiple deficiencies in available clinical trials search engines. Lack of reliability was repeatedly identified in all search engines.DiscussionThis study highlights that the current clinical trial search system needs improvement to enhance patient outcomes. It needs to be highlighted that these searches were performed by trained and dedicated clinical trials navigators. The challenges facing patients and health care professionals in navigating would be much greater. The findings from this study can serve as a foundation for the development of enhanced search engines with improved functionality, which will enable healthcare professionals and patients to find and access the most suitable clinical trials with greater ease and accuracy.