The population share with mobile internet access in North America was forecast to increase between 2024 and 2029 by in total 2.9 percentage points. This overall increase does not happen continuously, notably not in 2028 and 2029. The mobile internet penetration is estimated to amount to 84.21 percent in 2029. Notably, the population share with mobile internet access of was continuously increasing over the past years.The penetration rate refers to the share of the total population having access to the internet via a mobile broadband connection.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 population share with mobile internet access in countries like Caribbean and Europe.

Switzerland is leading the ranking by population share with mobile internet access , recording 95.06 percent. Following closely behind is Ukraine with 95.06 percent, while Moldova is trailing the ranking with 46.83 percent, resulting in a difference of 48.23 percentage points to the ranking leader, Switzerland. The penetration rate refers to the share of the total population having access to the internet via a mobile broadband connection.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).

Statistics of how many adults access the internet and use different types of technology covering:

home internet access

how people connect to the web

how often people use the web/computers

whether people use mobile devices

whether people buy goods over the web

whether people carried out specified activities over the internet

For more information see the ONS website and the UKDS website.

The global number of internet users in was forecast to continuously increase between 2024 and 2029 by in total 1.3 billion users (+23.66 percent). After the fifteenth consecutive increasing year, the number of users is estimated to reach 7 billion users and therefore a new peak in 2029. Notably, the number of internet users of was continuously increasing over the past years.Depicted is the estimated number of individuals in the country or region at hand, that use the internet. As the datasource clarifies, connection quality and usage frequency are distinct aspects, not taken into account here.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 internet users in countries like the Americas and Asia.

When asked about "Attitudes towards the internet", most Mexican respondents pick "It is important to me to have mobile internet access in any place at any time" as an answer. 55 percent did so in our online survey in 2024. Looking to gain valuable insights about users of internet providers worldwide? Check out our

When asked about "Attitudes towards the internet", most Chinese respondents pick "It is important to me to have mobile internet access in any place at any time" as an answer. 49 percent did so in our online survey in 2024. Looking to gain valuable insights about users of internet providers worldwide? Check out our

Percentage of Internet users by selected Internet service and technology, such as; home Internet access, use of smart home devices, use of smartphones, use of social networking accounts, use or purchase of streaming services, use of government services online and online shopping.

Abstract

Research ICT Africa (RIA) is a non-profit, public interest, research entity which undertakes research on how information and communication technologies are being accessed and used in African countries. The aim is to measure the impact on lifestyles and livelihoods of people and households and to understand how informal businesses can prosper through the use of ICTs. This research can facilitate informed policy-making for improved access, use and application of ICT for social development and economic growth. RIA collects both supply-side and demand-side data. On the demand-side nationally representative surveys are conducted on ICT use and demand in African countries. This survey dataset consists of data collected by household and business surveys conducted in 9 African countries in 2017 and 2018.

Geographic coverage

National coverage, the survey was conducted in Botswana, Cameroon, Ethiopia, Ghana, Kenya, Mozambique, Namibia, Nigeria, Rwanda, South Africa, Tanzania, Uganda, and Tunisia.

Analysis unit

Households and individuals

Universe

The data is nationally representative on a household and individual level for individuals 16 years of age or older.

Kind of data

Sample survey data [ssd]

Sampling procedure

The random sampling was performed in four steps for households and businesses, and five steps for individuals. • Step 1: The national census sample frames was split into urban and rural Enumerator areas (EAs). • Step 2: EAs were sampled for each stratum using probability proportional to size (PPS). • Step 3: For each EA two listings were compiled, one for households and one for businesses. The listings serve as sample frame for the simple random sections. • Step 4: 24 Households and 10 businesses were sampled using simple random sample for each selected EA. • Step 5: From all household members 15 years or older or visitors staying the night at the house one was randomly selected based on simple random sampling.

Mode of data collection

Face-to-face [f2f]

Research instrument

The survey questionnaire consisted of 16 modules. - Admin (enumerator completes it before Interviewing the Household) - Household Roster, list all household members 15 years or older - Household Roster, list all household members 14 years or younger - Household Attributes - Demographic Information - Income and Expenditure - Social Activities - Mobile Phone - No Mobile Phone - Mobile Money - Internet - No Internet Use - Social Media - No Social Media - Micro work - Household Attributes of Visitor

Attitudes of parents towards safer internet use for children. Topics: number of children in household between the age of 6 and 17; sex of child whose birthday is closest to date of interview; age of the child; frequency of personal internet use; internet use of the child: from personal computer at home, from family’s computer at home, at school, in internet café, at friends’ homes, in public places, somewhere else; frequency of the following measures with regard to child’s internet use at home: stay nearby, sit with the child, ask child about online activities, check computer later, check child’s messages, check whether child has a profile on a social network; restrictions regarding the child’s internet use; allowed activities: spend a lot of time online, talk to people unknown in real life, use email and instant messaging tools, use chat rooms, create profile in online community, access certain websites, download content, buy online, give out personal information; child’s use of mobile phone with internet access; concern about the child’s internet use via mobile phone with regard to the following activities: give out personal information online, see sexually or violently explicit images on the internet, be bullied by other children online, see sexually or violently explicit images via mobile phone, be bullied by other children via mobile phone, get information about self-harm, become isolated if spending too much time online, be victim of online grooming; use of filtering or monitoring software at computer at home; reasons for not using filtering or monitoring software; child ever been in need of help concerning unclear situation on the internet; kind of situation; most effective measures with regard to safer and more effective internet use for the child; most important sources of information on safety tools and safe internet usage; first point to turn to in case of encountering illegal content. Demography: sex; age; age at end of education; occupation; professional position; type of community. Additionally coded was: respondent ID; interviewer ID; language of the interview; country; date of interview; time of the beginning of the interview; duration of the interview; type of phone line; region; weighting factor. Internetnutzung durch Kinder. Sicherheitsmaßnahmen der Eltern. Themen: Anzahl der Kinder zwischen 6-17 Jahren im Haushalt; Auswahl des Kindes, über das die Eltern berichten durch die Geburtstagsmethode; Geschlecht; Alter des Kindes; Häufigkeit der Internetnutzung; Nutzung des Internets außerhalb der Wohnung; Orte des Internetzugangs des Kindes; Kontrollmaßnahme bei der Internetnutzung durch das Kind (Skala); Beschränkungen der Internetnutzung für das Kind; weitere Einschränkungen der Internetnutzung: viel Zeit online verbringen, Unterhaltungen mit Unbekannten (Chatten), Nutzung von Kontaktmedien (instant messaging), Nutzung von Chaträumen, Erstellen eines Online-Profils, Besuch bestimmter Web-Seiten, Download von Musik und Filmen, Onlineshopping, Herausgabe persönlicher Daten; Handy-Besitz des Kindes; Besorgnis über die Internetnutzung bzw. die Handy-Nutzung durch das Kind (Skala); installierte Filter- oder Kontrollsoftware; Gründe für eine Entscheidung gegen Kontrollsoftware; Hilfesuchen seitens des Kindes bei der Internetnutzung; Art der Hilfeleistung: bei technischen Problemen, bei Online-Belästigung, bei der Informationssuche, bei Online-Schikane, bei Online-Kontaktaufnahme durch Fremde, bei dem Fund von sexuellen oder gewalttätigen Bildern; Maßnahmen, die zu einer erhöhten Sicherheit des Internets für Kinder führen würden: Aufklärung in Schulen, Information der Eltern, Kurse für Eltern, bessere Kontrollsoftware, strengere Regulierungen bei Providern von Internetseiten, Kampagnen zur Aufklärung über Onlinerisiken, Kontaktstellen zur sicheren Internetnutzung; Informationsquelle über Sicherheitstools; Kontaktstelle bei einem Fund illegaler Inhalte: Polizei, Hotlines, gemeinnützige Organisationen. Demographie: Geschlecht; Alter; Alter bei Beendigung der Ausbildung; Beruf; berufliche Stellung; Urbanisierungsgrad. Zusätzlich verkodet wurde: Befragten-ID; Interviewer-ID; Interviewsprache; Land; Interviewdatum; Interviewdauer (Interviewbeginn und Interviewende); Interviewmodus (Mobiltelefon oder Festnetz); Region; Gewichtungsfaktor.

How many people are staying at home? How far are people traveling when they don’t stay home? Which states and counties have more people taking trips? The Bureau of Transportation Statistics (BTS) now provides answers to those questions through our mobility statistics program.

The "Trips by Distance" data and number of people staying home and not staying home are estimated for the Bureau of Transportation Statistics by the Maryland Transportation Institute and Center for Advanced Transportation Technology Laboratory at the University of Maryland. The travel statistics are produced from an anonymized national panel of mobile device data from multiple sources. All data sources used in the creation of the metrics contain no personal information. Data analysis is conducted at the aggregate national, state, and county levels. A weighting procedure expands the sample of millions of mobile devices, so the results are representative of the entire population in a nation, state, or county. To assure confidentiality and support data quality, no data are reported for a county if it has fewer than 50 devices in the sample on any given day.

Trips are defined as movements that include a stay of longer than 10 minutes at an anonymized location away from home. Home locations are imputed on a weekly basis. A movement with multiple stays of longer than 10 minutes before returning home is counted as multiple trips. Trips capture travel by all modes of transportation. including driving, rail, transit, and air.

The daily travel estimates are from a mobile device data panel from merged multiple data sources that address the geographic and temporal sample variation issues often observed in a single data source. The merged data panel only includes mobile devices whose anonymized location data meet a set of data quality standards, which further ensures the overall data quality and consistency. The data quality standards consider both temporal frequency and spatial accuracy of anonymized location point observations, temporal coverage and representativeness at the device level, spatial representativeness at the sample and county level, etc. A multi-level weighting method that employs both device and trip-level weights expands the sample to the underlying population at the county and state levels, before travel statistics are computed.

These data are experimental and may not meet all of our quality standards. Experimental data products are created using new data sources or methodologies that benefit data users in the absence of other relevant products. We are seeking feedback from data users and stakeholders on the quality and usefulness of these new products. Experimental data products that meet our quality standards and demonstrate sufficient user demand may enter regular production if resources permit.

These data are made available under a public domain license. Data should be attributed to the "Maryland Transportation Institute and Center for Advanced Transportation Technology Laboratory at the University of Maryland and the United States Bureau of Transportation Statistics."

Daily data for a given week will be uploaded to the BTS website within 9-10 days of the end of the week in question (e.g., data for Sunday September 17-Saturday September 23 would be updated on Tuesday, October 3). All BTS visualizations and tables that rely on these data will update at approximately 10am ET on days when new data are received, processed, and uploaded.

The methodology used to develop these data can be found at: https://rosap.ntl.bts.gov/view/dot/67520.

Gain exclusive access to verified Shopify store owners with our premium Shopify Users Email List. This database includes essential data fields such as Store Name, Website, Contact Name, Email Address, Phone Number, Physical Address, Revenue Size, Employee Size, and more on demand. Leverage real-time, accurate data to enhance your marketing efforts and connect with high-value Shopify merchants. Whether you're targeting small businesses or enterprise-level Shopify stores, our database ensures precision and reliability for optimized lead generation and outreach strategies. Key Highlights: ✅ 3.9M+ Shopify Stores ✅ Direct Contact Info of Shopify Store Owners ✅ 40+ Data Points ✅ Lifetime Access ✅ 10+ Data Segmentations ✅ FREE Sample Data

Abstract copyright UK Data Service and data collection copyright owner. Advanced Technology in the Lives of Disabled People, 2007-2008 assesses the use, application and role of advanced technologies in the lives of disabled people. Although disabled people are excited by the potential benefits of using new advanced technological devices at home, research has shown that one third of assistive devices are abandoned early and lie unused. This study aimed to explore why this happens, what the users actually need and how technology can rise to the challenges of flexibility and user choice. This study comprises 45 semi-structured interviews with people with a variety of different disabilities. In the study, 'disabled people' are people between the ages of 18 and 65 who have impairments (physical/sensory/learning difficulties/ mental health issues). 'Advanced technologies' are devices (often electronic) that assist the disabled person or improve functioning. These take many different forms, for example an automatic door opener can be attached to a closed circuit TV system, mobile telephones can act as universal pagers to alert the user to a number of environmental hazards, (for example, fire, gas escape). Further information can be found on ESRC MATILDAH project web page and the IDRIS research centre website. Additional information and a range of publications are available from the ESRC Award web page. Main Topics: The interviews covered the following themes:technology currently usedlearning challenges faced from new technologychoice and flexibilityabandonment of technologydevelopment of new technology in the future Quota sample Continuous sampling and interviewing of individuals as available. Face-to-face interview 2007 2008 ACCESS TO INFORMATI... AIDS FOR THE DISABLED AIDS FOR THE HEARIN... AIDS FOR THE SPEECH... AIDS FOR THE VISUAL... ANSWERPHONES ASSISTANCE ALARM SY... CARE IN THE COMMUNITY CARE OF THE DISABLED CHARITABLE ORGANIZA... CHAT ROOMS COMMUNICATION DISAB... COMPUTER SOFTWARE COMPUTERS CONGENITAL DISORDERS DEBILITATIVE ILLNESS DEPRESSION DISABILITIES DISABILITY DISCRIMI... DISABILITY DISCRIMI... DISABLED ACCESSIBILITY DISABLED FACILITIES DISABLED PERSONS DOMESTIC EQUIPMENT ... DOMESTIC RESPONSIBI... DVD PLAYERS England FIRE PROTECTION EQU... HEALTH CARE COSTS HEALTH PROFESSIONALS HEARING AIDS HEARING IMPAIRED PE... HEARING IMPAIRMENTS HOME HELP Health care service... INFORMAL CARE INFORMATION AND COM... INNOVATION INTERNET ACCESS INTERNET USE MENTALLY DISABLED P... MOBILE PHONES MOBILITY AIDS MOBILITY SCOOTERS NERVOUS SYSTEM DISE... OCCUPATIONAL THERAPY ONLINE SHOPPING PHYSICAL DISABILITIES PHYSICAL MOBILITY PHYSICALLY DISABLED... QUALITY OF LIFE SCIENTIFIC INNOVATION SENSORY IMPAIRMENTS SHELTERED EMPLOYMENT SICKNESS AND DISABI... SOCIAL MEDIA SOCIAL WELFARE SERV... SPEECH IMPAIRED PER... SPINAL DISORDERS STATE HEALTH SERVICES Science and technology Scotland Specific diseases Specific social ser... TELEPHONE HELP LINES TELEPHONES TELEVISION RECEIVERS TELEVISION SUBTITLES TRAUMA PSYCHOLOGICAL VISION IMPAIRMENTS VISUALLY IMPAIRED P... WALKING AIDS WHEELCHAIRS Wounds and injuries disorders and medic...

Abstract copyright UK Data Service and data collection copyright owner.The Young Lives survey is an innovative long-term project investigating the changing nature of childhood poverty in four developing countries. The study is being conducted in Ethiopia, India, Peru and Vietnam and has tracked the lives of 12,000 children over a 20-year period, through 5 (in-person) survey rounds (Round 1-5) and, with the latest survey round (Round 6) conducted over the phone in 2020 and 2021 as part of the Listening to Young Lives at Work: COVID-19 Phone Survey.Round 1 of Young Lives surveyed two groups of children in each country, at 1 year old and 5 years old. Round 2 returned to the same children who were then aged 5 and 12 years old. Round 3 surveyed the same children again at aged 7-8 years and 14-15 years, Round 4 surveyed them at 12 and 19 years old, and Round 5 surveyed them at 15 and 22 years old. Thus the younger children are being tracked from infancy to their mid-teens and the older children through into adulthood, when some will become parents themselves.The 2020 phone survey consists of three phone calls (Call 1 administered in June-July 2020; Call 2 in August-October 2020 and Call 3 in November-December 2020) and the 2021 phone survey consists of two additional phone calls (Call 4 in August 2021 and Call 5 in October-December 2021) The calls took place with each Young Lives respondent, across both the younger and older cohort, and in all four study countries (reaching an estimated total of around 11,000 young people).The Young Lives survey is carried out by teams of local researchers, supported by the Principal Investigator and Data Manager in each country.Further information about the survey, including publications, can be downloaded from the Young Lives website. This study includes data and documentation for Round 5 only. Round 1 is available under SN 5307, Round 2 under SN 6852, Round 3 under SN 6853 and Round 4 under SN 7931.Latest edition:For the second edition (August 2022), the Peruvian younger cohort household level data file (pe_r5_ychh_youngerhousehold) has been updated to include the mother's health variables. Main Topics: Older Cohort Household Questionnaire (age 22): includes sections on: Parental background; Household education; Livelihoods and asset framework; Economic changes and recent life history; Socio-economic status; Public Programmes.Older Cohort Child Questionnaire (age 22): includes sections on: Mobility; Subjective Wellbeing; Education; General Perceptions; Employment, earnings and time-use; Feelings and Attitudes; Household decision-making; Marital and Living Arrangements; Gender roles and social norms; Fertility; Health and Nutrition; Computer and other digital devices and internet use and skills; Social Capital; Anthropometry.Older Cohort Self-Administered Questionnaire (age 22): includes sections on: Relationship with parents, Smoking, Violence, Alcohol, Sexual behaviour (administered in Peru only).Younger Cohort Household Questionnaire (age 15): includes sections: on Parental background; Household education and time use; Livelihoods and asset framework; Consumption; Social Capital; Economic changes and recent life history; Socio-economic status, Health; Anthropometry (for the study child and a sibling); Caregiver perceptions and attitudes.Younger Cohort Child Questionnaire (age 15): includes sections on Mobility; Time use and work activities; Education and job aspirations; Health; Social norms and gender roles; social networking; Marriage and parenthood expectation; Feelings and Attitudes; Computer, other digital devices and internet usage; Anthropometry.Younger Cohort Cognitive Tests (age 15): include Peabody Picture Vocabulary Test (administered to the study child and a sibling); Mathematics test; Reading comprehension test. In Ethiopia only an additional English and Amharic reading test.Community Questionnaire: (administered in the main communities where Young Lives children live) includes sections on: General characteristics of the locality; Social environment; Access to services; Economy; Local prices; Social protection; Educational services; Health services; Migration.Mini-community questionnaire: (administered in communities into which one or study children moved) includes sections on: General characteristics of the locality; Social environment; Access to Services; Economy; Local prices. Purposive selection/case studies Interview Self-administered questionnaire 2016 ACCESS TO HEALTH SE... ACCESS TO PUBLIC SE... ACCIDENTS ADULT EDUCATION AGE AGRICULTURAL EQUIPMENT AGRICULTURE ALCOHOL USE ALIMONY ANIMAL HUSBANDRY ANTENATAL CARE ANTHROPOMETRIC DATA ARABLE FARMING ASPIRATION ASSETS ATTITUDES Agriculture and rur... BIRTH CONTROL BIRTH WEIGHT BREAST FEEDING BUILDING MAINTENANCE CARE OF DEPENDANTS CASTE CHILD CARE CHILD DAY CARE CHILD DEVELOPMENT CHILD LABOUR CHILD WORKERS CHILDBIRTH CHILDREN CHRONIC ILLNESS COHABITATION COMMUNITIES COMMUNITY ACTION COMMUNITY BEHAVIOUR COMMUNITY PARTICIPA... COMPUTER LITERACY CONDITIONS OF EMPLO... CONSUMER GOODS COST OF LIVING COSTS CREDIT CROP YIELDS CROPS CULTURAL GOODS DEBILITATIVE ILLNESS DEBTS DECISION MAKING DEVELOPMENT PROGRAMMES DIETARY HABITS DISABILITIES DISASTERS DOMESTIC APPLIANCES DOMESTIC RESPONSIBI... DRIVING LICENCES ECONOMIC ACTIVITY EDUCATIONAL ATTENDANCE EDUCATIONAL BACKGROUND EDUCATIONAL CERTIFI... EDUCATIONAL CHOICE EDUCATIONAL FEES EDUCATIONAL TESTS ELECTRIC POWER EMOTIONAL STATES EMPLOYEES EMPLOYMENT HISTORY ETHNIC GROUPS Education Ethiopia FAMILIES FAMILY LIFE FAMILY MEMBERS FARM VEHICLES FATHERS FINANCIAL DIFFICULTIES FINANCIAL RESOURCES FINANCIAL SUPPORT FOOD FOOD AID FOOD AND NUTRITION FOOD SHORTAGES FOSSIL FUELS FRIENDS FRINGE BENEFITS Family life and mar... GENDER GENDER ROLE GIFTS GROUPS General health and ... HANDICRAFTS HEALTH HEATING SYSTEMS HEIGHT PHYSIOLOGY HOME OWNERSHIP HOMEWORK HOUSEHOLD BUDGETS HOUSEHOLD INCOME HOUSEHOLDS HOUSING CONSTRUCTION HOUSING IMPROVEMENT Housing ILL HEALTH IMMUNIZATION IMPRISONMENT INCOME INDUSTRIES INFANT FEEDING INFANTS INFORMAL CARE INJURIES INTERNET ACCESS INTERNET USE India JOB HUNTING KITCHENS LABOUR MIGRATION LAND OWNERSHIP LAND TENURE LANGUAGE SKILLS LANGUAGES USED AT HOME LAVATORIES LEARNING LIFE EVENTS LIFE SATISFACTION LITERACY LIVESTOCK LIVING CONDITIONS LOANS Labour and employment MARITAL HISTORY MARITAL STATUS MARRIAGE CONTRACTS MARRIAGE CUSTOMS MARRIAGE DISSOLUTION MEALS MEDICAL CARE MEMBERSHIP MOBILE PHONES MORTGAGES MOTHER TONGUE MOTHERS MOTOR VEHICLES NUMERACY OCCUPATIONS PAYMENTS PERSONAL FINANCE MA... PERSONALITY TRAITS POLLUTION POPULATION MIGRATION POVERTY PREGNANCY PREMATURE BIRTHS PRICES PRIVATE VOLUNTARY O... 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Digital Equity and Inclusion in Western Parkland CityThe Western Parkland City Digital Equity and Inclusion project shows the localised findings of targeted research aimed at benchmarking digital inclusion across the Western Parkland City. The index scores, depicted through a choropleth map, highlight specific gaps and priorities for improving overall digital inclusion and dimensions of Access, Ability and Affordability across each of the eight participating Council areas.AbilityDigital Ability is about our skill levels: what we are able do online, and our confidence in doing it. Having limited digital capability in the types of skills and knowledge needed to get online, operate functions and navigate sites with confidence and safety has been referred to the ‘second level’ digital divide. In measuring Digital Ability, the ADII draws upon the Internet Skills Scale (ISS) to focus on six skills domains. The ADII’s Digital Ability score measures the following skills components:Basic operational (i.e., downloading and opening files, connecting to the internet, and setting passwords)Advanced operational (i.e., saving to the cloud, determining what is safe to download, customising devices and connections, and adjusting privacy settings (e.g. downloading and opening files, connecting to the internet))Information navigation (i.e., searching and navigating, verifying trustworthy information, and managing third party data collection)Social (i.e., deciding what to share, how, and who with, managing and monitoring contacts, and communicating with others)Creative (i.e., editing, producing, and posting content, as well as having a broad understanding of the rules that may apply to these activities)Smart (i.e., connecting, operating, and managing smart devices and IoT technologies)AccessThe Digital Access dimension within the ADII is a measure of several interrelated components of internet usage that include intensity and frequency of use, types of devices, and use of fixed and mobile plans. It is well recognised that the quality of both fixed and mobile connectivity is problematic and underserviced in regional and remote areas – often due to intermittent and unreliable access to the nbn.AffordabilityAs connected technologies have developed and more people move online, some gaps in connectivity access have narrowed. However, for many people, particularly in areas with higher concentrations of low-income individuals and households, affordability can present significant barriers to achieving digital equity across the city. This includes being able to afford quality and reliable mobile and fixed broadband plans and the devices needed to connect online.For additional information click this linkSource: Data is sourced through a collaboration between Smart Places, Cities and Active Transport, Transport for NSW and The Parks, Sydney’s Parkland Councils, an alliance of the eight local government areas that comprise Western Parkland City as part of the Western Parkland City Digital Equity and Inclusion Insights Program. This is currently a one-off release. At this time we do not have plans to update this dataset regularly.

When asked about "Attitudes towards the internet", most Australian respondents pick "It is important to me to have mobile internet access in any place at any time" as an answer. 53 percent did so in our online survey in 2024. Looking to gain valuable insights about users of internet providers worldwide? Check out our

The number of smartphone users in the United States was forecast to continuously increase between 2024 and 2029 by in total 17.4 million users (+5.61 percent). After the fifteenth consecutive increasing year, the smartphone user base is estimated to reach 327.54 million users and therefore a new peak in 2029. Notably, the number of smartphone users of was continuously increasing over the past years.Smartphone users here are limited to internet users of any age using a smartphone. The shown figures have been derived from survey data that has been processed to estimate missing demographics.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 smartphone users in countries like Mexico and Canada.

When asked about "Attitudes towards the internet", most Japanese respondents pick "I could no longer imagine my everyday life without the internet" as an answer. 56 percent did so in our online survey in 2024. Looking to gain valuable insights about users of internet providers worldwide? Check out our

The number of smartphone users in Australia was forecast to continuously increase between 2024 and 2029 by in total 1.6 million users (+6.39 percent). After the ninth consecutive increasing year, the smartphone user base is estimated to reach 26.58 million users and therefore a new peak in 2029. Notably, the number of smartphone users of was continuously increasing over the past years.Smartphone users here are limited to internet users of any age using a smartphone. The shown figures have been derived from survey data that has been processed to estimate missing demographics.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).

The global number of smartphone users in was forecast to continuously increase between 2024 and 2029 by in total 1.8 billion users (+42.62 percent). After the fifteenth consecutive increasing year, the smartphone user base is estimated to reach 6.1 billion users and therefore a new peak in 2029. Notably, the number of smartphone users of was continuously increasing over the past years.Smartphone users here are limited to internet users of any age using a smartphone. The shown figures have been derived from survey data that has been processed to estimate missing demographics.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 smartphone users in countries like the Americas and Asia.

The population share with mobile internet access in Nigeria was forecast to continuously increase between 2024 and 2029 by in total 16.8 percentage points. After the ninth consecutive increasing year, the mobile internet penetration is estimated to reach 38.94 percent and therefore a new peak in 2029. Notably, the population share with mobile internet access of was continuously increasing over the past years.The penetration rate refers to the share of the total population having access to the internet via a mobile broadband connection.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).