As of 2024, 99 percent of the Americans between 30-49 and 18-29 years, used the internet at least occasionally. The United States have made large gains in online adoption over the last decade.

As of 2024, 97 percent of adult women and 96 percent of adult men in the United States used the internet. Both figures have seen notable increases since 2000.

This statistic shows the percentage of adults who use the internet in the United States from 2000 and 2021. In the most recent measured year, 93 percent of U.S. adults were reported to use the internet at least occasionally, up from 76 percent in 2010.

In a survey conducted in June 2024 about the activities performed online by internet users in Australia, 91 percent of respondents stated that they used the internet to access the news. According to the source, 85 percent of respondents also used the internet for shopping.

As of the third quarter of 2024, a survey among adult internet users in Mexico found that about 57.8 percent of the respondents expressed concern about what was real or fake on the internet. Around 42.1 of Mexican online users felt doubt about how companies used their data. Regarding possible measures, 34.5 percent of them stated that they declined or deleted cookies from their browsers, and 22 percent used tools to block advertisements at least some of the time. Meanwhile, 19.6 percent of the respondents used virtual private networks when accessing the internet at least sometimes.

The Adult and Pornographic Websites industry generates most of its revenue from subscription fees for premium access to pornography. However, a sizeable share of revenue also comes from the sale of display ads. Growth in mobile internet connectivity and shifting sexual attitudes have increased pornographic material consumption. The industry's shift towards mobile optimization has been crucial, with mobile now accounting for 70-80% of visits to adult sites. This adaptation to mobile has led to increased user engagement and more effective monetization strategies, including direct messaging and in-app purchases. As a result, industry revenue will climb at a CAGR of 8.1% to $1.3 billion, including 1.1% growth during 2025. However, profit across the industry is more limited than in the broader online sector since very few of the industry's viewers can be converted to paid subscribers and few large advertisers are willing to mingle their brands with adult content. The adult industry's dynamics have been reshaped by platforms like OnlyFans, which have redefined consumer spending patterns. OnlyFans positioned itself as a leader in personalized content delivery, seeing a remarkable 70% increase in transactional spending driven by its hybrid subscription model. As traditional pornographic giants struggled with regulatory strain—such as credit card companies ceasing transactions with Pornhub after allegations of illegal content hosting—subscription-based and direct-to-consumer options surged to prominence. Meanwhile, stringent regulations and age verification requirements have posed significant challenges, leading to a decline in traffic for some traditional platforms. The industry is poised to continue growing, though more subdued. Industry revenue will hike at a CAGR of 2.0% to $1.4 billion. As more US states implement age verification laws, platforms must invest heavily in sophisticated compliance systems, potentially influencing operational dynamics across the board. The growth of AI and VR is set to enhance user experience, promising more personalized and immersive content. Moreover, successfully adapting subscription and transactional models could diversify revenue streams and reduce dependence on advertising. Collaboration among industry leaders, legal entities, and tech companies could lead to unified age verification systems that balance compliance with user comfort.

According to a survey of adult internet users in Italy, around 53.1 percent of respondents expressed concern about what is real or fake on the internet. Almost 54 percent stated that they declined cookies on websites, while 34 percent of respondents expressed concern about how companies might use their personal data, Furthermore, over 27 percent of respondents said they used a tool to block advertisements on the internet at least some of the time

This graph shows the percentage of adult internet users in the United Sates since 2000, sorted by educational background. In 2019, 84 percent of high school graduates used the internet at least occasionally.

Estimates of adult Internet users and non-users in the UK, by age, sex, disability, region, gross weekly pay, ethnicity and when adults last used the Internet.

Explore the historical Whois records related to adult-internet-television.org (Domain). Get insights into ownership history and changes over time.

As of September 2023, 62 percent of U.S. adults between 18 and 29 accessed the internet almost constantly. According to the survey, around 54 percent of respondents between 30 and 49 years went online almost constantly. Overall, 41 percent of American adults were regular internet users.

Context

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The data contains household internet connection information for European Union. The time span is from 2003 to current days.

The dataset contains a composite field and several year values.

The composite field is:

indic_is,unit,hhtyp,geo\time

The meaning of each component in the composed field is:

• indic_is - type of connection;
• unit - unit of measure - can be either % per household or % per person;
• hhtyp - household type;
• geo - geography - can be either country or EU region/period.

There are as well several years columns, from 2019 to 2003.

For the type of connection, the possible types are:

• H_BBFIX - Household internet connection type: fixed broadband;
• H_BBMOB - Household internet connection type: mobile broadband;
• H_BBOTH - Household internet connection type: other broadband;
• H_BROAD - Household internet connection type: broadband;
• H_DIALUP - Household internet connection type: modem or ISDN;
• H_DIALUP1 - Household internet connection type: dial-up access via normal telephone line or ISDN;
• H_DSL - Household internet connection type: DSL;
• H_MPHNAR - Household internet connection type: mobile phone over narrowband;
• H_MPHNAR - Household internet connection type: mobile phone over narrowband (as of 2014)

Extendend list of type of connections can be find on EU data portal, here.

For the household type, the possible values, according to the nomenclator are:

• F1_CH - Household composed of lone mother living with at least one child
• F1_YCH - Household composed of lone mother with at least one resident child under 25 years
• F1_OCH - Household composed of lone mother with at least one resident child 25 years or older
• P1_CH - Household composed of lone mother or father living with at least one child
• FAM_GE2 - Household composed of two-or-more-family nucleus
• NFAM - Household composed of non-family nucleus
• P1 - One-person household
• A1 - Household composed of one adult
• A1_DCH - Household composed of one adult with dependent children
• A2 - Household composed of two adults
• A2_DCH - Household composed of two adults with dependent children
• A_GE2_DCH - Household composed of two or more adults with dependent children
• A_GE3 - Household composed of three or more adults
• A_GE3_DCH - Household composed of three or more adults with dependent children
• MULTI - Multiperson household other than family nucleus
• DCH - Households with dependent children
• NDCH - Households without dependent children
• A1_GE65 - Household composed of one adult 65 years or over
• A2_GE1_GE65 - Household composed of two adults, at least one aged 65 years or over
• OTH - Other
• NRP - No response
• UNK - Unknown

Acknowledgements

The data provenance is EU Open Data Portal

Inspiration

Analyze the distribution of internet access per household type, connection type, country and years.

Survey on Adult Population Involvement in Learning Activities: Participation in formal or non-formal educational activities by sex and frequency and ability to use a computer and the Internet. National.

BackgroundTo explore the chain-mediated roles of social networks and depressive symptoms in the relationship between internet use and cognition among older adults.MethodsData were sourced from the 2018 China Longitudinal Aging Social Survey (CLASS). Structural equation modeling (SEM) was employed to analyze the potential mediating roles of social networks and depressive symptoms. Internet use, Lubben Social Network Scale (LSNS), the Center for Epidemiological Studies Depression Scale (CES-D) and Cognitive Scale were selected as indicators. Additionally, propensity score matching (PSM) was applied to further validate the robustness of the results by reducing potential selection bias and ensuring a more comparable distribution of observed covariates between internet users and non-users.ResultsOur analysis found that the use of the internet by older adults was positively correlated with their social networks (β=0.090, p

This graph shows the typical daily online activities of internet users in the United States as of February 2017, sorted by age group. During the survey period, 50 percent of respondents aged 18 to 29 years checked the weather online on a daily basis.

ObjectiveThis study aims to explore the relationship between internet use and self-rated health among middle-aged and older adults and further investigates the mediating role of health service utilization between internet use and self-rated health, providing a reference for more effectively utilizing the internet to improve the health status of middle-aged and older adults.MethodWe analyzed data from the 2018 and 2020 waves of the China Health and Retirement Longitudinal Study (CHARLS), this includes 10,011 in 2018 and 7,080 in 2020 over the age of 45. To explore the relationship between internet use and self-rated health, we employed propensity score matching (PSM) and instrumental variable regression analysis, accounting for a wide range of potential covariates. Additionally, the Sobel test was used to examine the mediating effect of health service utilization on this relationship.ResultsAccording to the fully adjusted propensity score matching and instrumental variable regression model, internet use significantly enhanced self-rated health among middle-aged and older adults (β = 0.348, P < 0.01; β = 0.293, P < 0.1). However, subgroup analyses revealed that this positive effect was not significant among middle-aged and older adults who were divorced (β = 0.190, P > 0.05), lived in special zone (β = −1.379, P > 0.05), and lacked medical insurance (β = 0.314, P > 0.05). Furthermore, mediation analysis revealed that inpatient services (β = 0.0215, P < 0.01) acted as a mediator in the relationship between internet use and self-rated health.ConclusionInternet use positively correlates with self-rated health among middle-aged and older adults. Additionally, the utilization of health services can significantly influence this relationship. These findings underscore the importance of developing targeted government strategies to promote internet access and create a supportive online environment, thereby enhancing the health outcomes of this demographic group.

China Adult Product, Sex Toy: Taobao and Tmall Online Sales: YoY: Market Share data was reported at 12.900 % in Aug 2020. This records an increase from the previous number of -2.860 % for Jul 2020. China Adult Product, Sex Toy: Taobao and Tmall Online Sales: YoY: Market Share data is updated monthly, averaging 0.000 % from Jun 2019 (Median) to Aug 2020, with 15 observations. The data reached an all-time high of 27.270 % in Jun 2019 and a record low of -17.390 % in Nov 2019. China Adult Product, Sex Toy: Taobao and Tmall Online Sales: YoY: Market Share data remains active status in CEIC and is reported by Moojing Market Intelligence. The data is categorized under China Premium Database’s Consumer Goods and Services – Table CN.HTB: Taobao and Tmall Online Sales: YoY: Cultural and Entertainment Article.

As of 2023, nearly 50 percent of adult internet users in Sweden were worried about what was real and what was fake on the internet. A similar share of users said they declined cookies on websites at least some of the time. Around three in ten said they were concerned about how companies might use their online information.

This chart provides a detailed overview of the number of Adult online retailers by Monthly Views. Most Adult stores' Monthly Views are Less than 100, there are 4.28K stores, which is 35.71% of total. In second place, 3.35K stores' Monthly Views are 100 to 1K, which is 27.92% of total. Meanwhile, 2.43K stores' Monthly Views are 1K to 10K, which is 20.29% of total. This breakdown reveals insights into Adult stores distribution, providing a comprehensive picture of the performance and efficient of online retailer.

This chart provides a detailed overview of the number of Adult online retailers by Monthly Visitors. Most Adult stores' Monthly Visitors are Less than 100, there are 5.99K stores, which is 49.97% of total. In second place, 2.88K stores' Monthly Visitors are 100 to 1K, which is 24.04% of total. Meanwhile, 2.03K stores' Monthly Visitors are 1K to 10K, which is 16.95% of total. This breakdown reveals insights into Adult stores distribution, providing a comprehensive picture of the performance and efficient of online retailer.