About this dataset

Context

The dataset tabulates the population of Sale City by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Sale City. The dataset can be utilized to understand the population distribution of Sale City by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Sale City. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Sale City.

Key observations

Largest age group (population): Male # 60-64 years (19) | Female # 10-14 years (35). Source: U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.

Variables / Data Columns

• Age Group: This column displays the age group for the Sale City population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Sale City is shown in the following column.
• Population (Female): The female population in the Sale City is shown in the following column.
• Gender Ratio: Also known as the sex ratio, this column displays the number of males per 100 females in Sale City for each age group.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Sale City Population by Gender. You can refer the same here

About this dataset

Context

The dataset tabulates the Sale City population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for Sale City. The dataset can be utilized to understand the population distribution of Sale City by age. For example, using this dataset, we can identify the largest age group in Sale City.

Key observations

The largest age group in Sale City, GA was for the group of age 60 to 64 years years with a population of 42 (10.12%), according to the ACS 2018-2022 5-Year Estimates. At the same time, the smallest age group in Sale City, GA was the 25 to 29 years years with a population of 1 (0.24%). Source: U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group in consideration
• Population: The population for the specific age group in the Sale City is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Sale City total population. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Sale City Population by Age. You can refer the same here

Over ******* civilian weapons, including those for hunting and shooting sports, were sold to the population of Russia in 2024, ** percent more than in the previous year. The sales volume saw a decrease from 2021 to 2023.

School-age population estimates are required by the Code of Virginia to distribute sales and use tax among the school divisions of Virginia. These data, produced annually by the Weldon Cooper Center, estimate the current 5- to 19-year-old population of each school division and town in Virginia. Each year, 1.125% of the state sales and use taxes is distributed to Virginia’s 135 school divisions according to these data.

Internet sales have played an increasingly significant role in retailing. In 2025, e-commerce accounted for over ***percent of retail sales worldwide. Forecasts indicate that by 2030, the online segment will make up ***percent of total global retail sales. Retail e-commerce Online shopping has grown steadily in popularity in recent years. In 2024, global e-commerce sales amounted to over ************ U.S. dollars, a figure expected to approach * trillion U.S. dollars by 2030. Digital development boomed during the COVID-19 pandemic, generating unprecedented e-commerce growth in various economies across the globe. This trend correlates strongly with the constantly improving online access, especially in "mobile-first" online communities, which have long struggled with traditional commercial fixed broadband connections due to financial or infrastructure constraints but enjoy the advantages of cheap mobile broadband connections. M-commerce on the rise The order share of online shopping via smartphones and tablets now outperforms traditional e-commerce via desktop computers. As such, e-retailers around the world have caught up in mobile e-commerce sales. Online shopping via smartphones is particularly prominent in Asia. By the end of 2023, South Korea was the top digital market based on the percentage of the population that had purchased something by phone, with nearly ** percent having made a weekly mobile purchase. Malaysia, UAE, and Turkey completed the top of the ranking.

About this dataset

Context

The dataset tabulates the data for the Sale City, GA population pyramid, which represents the Sale City population distribution across age and gender, using estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates. It lists the male and female population for each age group, along with the total population for those age groups. Higher numbers at the bottom of the table suggest population growth, whereas higher numbers at the top indicate declining birth rates. Furthermore, the dataset can be utilized to understand the youth dependency ratio, old-age dependency ratio, total dependency ratio, and potential support ratio.

Key observations

• Youth dependency ratio, which is the number of children aged 0-14 per 100 persons aged 15-64, for Sale City, GA, is 41.2.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Sale City, GA, is 29.6.
• Total dependency ratio for Sale City, GA is 70.8.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Sale City, GA is 3.4.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group for the Sale City population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Sale City for the selected age group is shown in the following column.
• Population (Female): The female population in the Sale City for the selected age group is shown in the following column.
• Total Population: The total population of the Sale City for the selected age group is shown in the following column.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Sale City Population by Age. You can refer the same here

Key Table Information.Table Title.Selected Housing Characteristics.Table ID.ACSDP1Y2024.DP04.Survey/Program.American Community Survey.Year.2024.Dataset.ACS 1-Year Estimates Data Profiles.Source.U.S. Census Bureau, 2024 American Community Survey, 1-Year Estimates.Dataset Universe.The dataset universe of the American Community Survey (ACS) is the U.S. resident population and housing. For more information about ACS residence rules, see the ACS Design and Methodology Report. Note that each table describes the specific universe of interest for that set of estimates..Methodology.Unit(s) of Observation.American Community Survey (ACS) data are collected from individuals living in housing units and group quarters, and about housing units whether occupied or vacant. For more information about ACS sampling and data collection, see the ACS Design and Methodology Report..Geography Coverage.ACS data generally reflect the geographic boundaries of legal and statistical areas as of January 1 of the estimate year. For more information, see Geography Boundaries by Year.Estimates of urban and rural populations, housing units, and characteristics reflect boundaries of urban areas defined based on 2020 Census data. As a result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization..Sampling.The ACS consists of two separate samples: housing unit addresses and group quarters facilities. Independent housing unit address samples are selected for each county or county-equivalent in the U.S. and Puerto Rico, with sampling rates depending on a measure of size for the area. For more information on sampling in the ACS, see the Accuracy of the Data document..Confidentiality.The Census Bureau has modified or suppressed some estimates in ACS data products to protect respondents' confidentiality. Title 13 United States Code, Section 9, prohibits the Census Bureau from publishing results in which an individual's data can be identified. For more information on confidentiality protection in the ACS, see the Accuracy of the Data document..Technical Documentation/Methodology.Information about the American Community Survey (ACS) can be found on the ACS website. Supporting documentation including code lists, subject definitions, data accuracy, and statistical testing, and a full list of ACS tables and table shells (without estimates) can be found on the Technical Documentation section of the ACS website.Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American Community Survey website in the Methodology section.Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted roughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see ACS Technical Documentation). The effect of nonsampling error is not represented in these tables.Users must consider potential differences in geographic boundaries, questionnaire content or coding, or other methodological issues when comparing ACS data from different years. Statistically significant differences shown in ACS Comparison Profiles, or in data users' own analysis, may be the result of these differences and thus might not necessarily reflect changes to the social, economic, housing, or demographic characteristics being compared. For more information, see Comparing ACS Data..Weights.ACS estimates are obtained from a raking ratio estimation procedure that results in the assignment of two sets of weights: a weight to each sample person record and a weight to each sample housing unit record. Estimates of person characteristics are based on the person weight. Estimates of family, household, and housing unit characteristics are based on the housing unit weight. For any given geographic area, a characteristic total is estimated by summing the weights assigned to the persons, households, families or housing units possessing the characteristic in the geographic area. For more information on weighting and estimation in the ACS, see the Accuracy of the Data document.Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, the decennial census is the official source of population totals for April 1st of each decennial year. In between censuses, the Census Bureau's Population Estimates Program produces and disseminates the official estimates of the population for the nation, states, counties, cities, and towns and estimates of ...

In the fourth quarter of 2024, TikTok generated around 186 million downloads from users worldwide. Initially launched in China first by ByteDance as Douyin, the short-video format was popularized by TikTok and took over the global social media environment in 2020. In the first quarter of 2020, TikTok downloads peaked at over 313.5 million worldwide, up by 62.3 percent compared to the first quarter of 2019.

              TikTok interactions: is there a magic formula for content success?

              In 2024, TikTok registered an engagement rate of approximately 4.64 percent on video content hosted on its platform. During the same examined year, the social video app recorded over 1,100 interactions on average. These interactions were primarily composed of likes, while only recording less than 20 comments per piece of content on average in 2024.
              The platform has been actively monitoring the issue of fake interactions, as it removed around 236 million fake likes during the first quarter of 2024. Though there is no secret formula to get the maximum of these metrics, recommended video length can possibly contribute to the success of content on TikTok.
              It was recommended that tiny TikTok accounts with up to 500 followers post videos that are around 2.6 minutes long as of the first quarter of 2024. While, the ideal video duration for huge TikTok accounts with over 50,000 followers was 7.28 minutes. The average length of TikTok videos posted by the creators in 2024 was around 43 seconds.

              What’s trending on TikTok Shop?

              Since its launch in September 2023, TikTok Shop has become one of the most popular online shopping platforms, offering consumers a wide variety of products. In 2023, TikTok shops featuring beauty and personal care items sold over 370 million products worldwide.
              TikTok shops featuring womenswear and underwear, as well as food and beverages, followed with 285 and 138 million products sold, respectively. Similarly, in the United States market, health and beauty products were the most-selling items,
              accounting for 85 percent of sales made via the TikTok Shop feature during the first month of its launch. In 2023, Indonesia was the market with the largest number of TikTok Shops, hosting over 20 percent of all TikTok Shops. Thailand and Vietnam followed with 18.29 and 17.54 percent of the total shops listed on the famous short video platform, respectively.

Recent property sales from the NSW Valuer General analysed by AreaSearch for Mudgee (ABS Statistical Area Level 2 (SA2)).

About this dataset

Context

The dataset tabulates the population of Sale City by race. It includes the population of Sale City across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of Sale City across relevant racial categories.

Key observations

The percent distribution of Sale City population by race (across all racial categories recognized by the U.S. Census Bureau): 88.67% are white, 11.08% are Black or African American and 0.24% are multiracial.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race: This column displays the racial categories (excluding ethnicity) for the Sale City
• Population: The population of the racial category (excluding ethnicity) in the Sale City is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Sale City total population. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Sale City Population by Race & Ethnicity. You can refer the same here

About this dataset

Context

The dataset tabulates the Non-Hispanic population of Sale City by race. It includes the distribution of the Non-Hispanic population of Sale City across various race categories as identified by the Census Bureau. The dataset can be utilized to understand the Non-Hispanic population distribution of Sale City across relevant racial categories.

Key observations

Of the Non-Hispanic population in Sale City, the largest racial group is White alone with a population of 362 (88.51% of the total Non-Hispanic population).

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race: This column displays the racial categories (for Non-Hispanic) for the Sale City
• Population: The population of the racial category (for Non-Hispanic) in the Sale City is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Sale City total Non-Hispanic population. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Sale City Population by Race & Ethnicity. You can refer the same here

In 2024, Millennials were the largest generation group in the United States, making up about 21.81 percent of the population. However, Generation Z was not far behind, with Gen Z accounting for around 20.81 percent of the population in that year.

In May 2024, a total share of ** percent of the Polish population has ever used the internet to sell goods. This was an increase of ** percent as compared to the year 2012. It was also the highest share of Poles selling goods online recorded over the years observed.

In 2024, the total population of Russia was around 146.1 million people. Only a fraction of them live in the major Russian cities. With almost 12.5 million inhabitants, Moscow is the largest of them. In the upcoming years until 2030, the population was forecast to decline.Russia's economy Russia is one of the major economies in the world and is one of the wealthiest nations. Following the 1998 Russian financial crisis, Russia introduced several structural reforms that allowed for a fast economic recovery. Following these reforms, Russia experienced significant economic growth from the early 2000s and improved living standards in general for the country. A reason for the momentous economical boost was the rise in commodity prices as well as a boom in the total amount of consumer credit. Additionally, Russia is highly dependent on the mining and production of natural resources, primarily in the energy department, in order to promote economic growth in the country. Due to large energy reserves throughout the country, Russia has developed a stable economy capable of sustaining itself for many years into the future. The majority of Russian oil and energy reserves are located in the Western Siberian areas. These natural gas liquids, along with oil reserves that consist of crude oil, shale oil and oil sands are constantly used for the production of consumable oil, which is an annually growing industry in Russia. Oil products are one of Russia’s primary exports and the country is able to profit entirely off of sales due to high prices as well as high demand for such goods.

As of October 2025, 6.04 billion individuals worldwide were internet users, which amounted to 73.2 percent of the global population. Of this total, 5.66 billion, or 68.7 percent of the world's population, were social media users. Global internet usage Connecting billions of people worldwide, the internet is a core pillar of the modern information society. Northern Europe ranked first among worldwide regions by the share of the population using the internet in 2025. In the Netherlands, Norway, and Saudi Arabia, 99 percent of the population used the internet as of February 2025. North Korea was at the opposite end of the spectrum, with virtually no internet usage penetration among the general population, ranking last worldwide. Eastern Asia was home to the largest number of online users worldwide—over 1.34 billion at the latest count. Southern Asia ranked second, with around 1.2 billion internet users. China, India, and the United States rank ahead of other countries worldwide by the number of internet users. Worldwide internet user demographics As of 2024, the share of female internet users worldwide was 65 percent, five percent less than that of men. Gender disparity in internet usage was bigger in African countries, with around a 10-percent difference. Worldwide regions, like the Commonwealth of Independent States and Europe, showed a smaller usage gap between these two genders. As of 2024, global internet usage was higher among individuals between 15 and 24 years old across all regions, with young people in Europe representing the most considerable usage penetration, 98 percent. In comparison, the worldwide average for the age group of 15 to 24 years was 79 percent. The income level of the countries was also an essential factor for internet access, as 93 percent of the population of the countries with high income reportedly used the internet, as opposed to only 27 percent of the low-income markets.

The statistic shows the total population of India from 2020 to 2030. In 2024, the estimated total population in India amounted to approximately 1.44 billion people. Total population in India India currently has the second-largest population in the world and is projected to overtake top-ranking China within forty years. Its residents comprise more than one-seventh of the entire world’s population, and despite a slowly decreasing fertility rate (which still exceeds the replacement rate and keeps the median age of the population relatively low), an increasing life expectancy adds to an expanding population. In comparison with other countries whose populations are decreasing, such as Japan, India has a relatively small share of aged population, which indicates the probability of lower death rates and higher retention of the existing population. With a land mass of less than half that of the United States and a population almost four times greater, India has recognized potential problems of its growing population. Government attempts to implement family planning programs have achieved varying degrees of success. Initiatives such as sterilization programs in the 1970s have been blamed for creating general antipathy to family planning, but the combined efforts of various family planning and contraception programs have helped halve fertility rates since the 1960s. The population growth rate has correspondingly shrunk as well, but has not yet reached less than one percent growth per year. As home to thousands of ethnic groups, hundreds of languages, and numerous religions, a cohesive and broadly-supported effort to reduce population growth is difficult to create. Despite that, India is one country to watch in coming years. It is also a growing economic power; among other measures, its GDP per capita was expected to triple between 2003 and 2013 and was listed as the third-ranked country for its share of the global gross domestic product.

In the Australian tablet market of 2024, Apple and Samsung were the key players, with Apple having the majority share of **** percent. Samsung came second, with a market share of **** percent.  Tablet usage in Australia Tablet usage in Australia is quite prevalent, with many people utilizing this device for a range of purposes. In 2017, around ** percent of the total population used tablets, and this number was forecasted to reach around ** percent by 2022. Tablets are commonly used for entertainment activities such as streaming videos and playing games, as well as browsing the internet and social media. In a recent survey about communications and media in Australia, ** percent of respondents claimed that they accessed the internet via tablet computer multiple times a day.  Consumer electronics in Australia Consumer electronics ownership in Australia is high, with most of the population owning a range of devices. Smartphones are the most prevalent consumer electronics device owned by Australians, followed by TV, laptops, and headphones. Other commonly owned gadgets include tablets and gaming consoles. Overall, the high ownership rates of consumer electronics in Australia demonstrate the country's tech-savvy population and their desire to stay connected and up to date with the latest technological advancements.

In 2024, approximately *** thousand passenger cars and commercial vehicles were sold to customers in Saudi Arabia. That marked an increase compared to the previous year, in which ***** thousand passenger cars and commercial vehicles were sold in the kingdom. Saudi Arabia, a key player in the regional automobile sector As of 2022, Saudi Arabia has joined the trillion-dollar club, a term used to describe economies with a gross domestic product exceeding one trillion U.S. dollars. Unsurprisingly, the Kingdom is the biggest vehicle market among the Gulf Cooperation Council (GCC) countries. Moreover, Saudi Arabia dominated both passenger and commercial car sales in the Middle East and North African region in 2021. Followed by Hyundai, Toyota held the largest market share of new car sales in the Kingdom in 2021. Meanwhile, the year-on-year change of commercial vehicle sales in Saudi Arabia was forecast to grow by *** and *** percent in 2022 and 2023 respectively. A large economy with big challenges Saudi Arabia is home to one of the world’s youngest populations, with inhabitants aged between 15 and 24 years old exceeding ** percent of the total population in 2020. While the young population drives the economy forward as it enters the working age, at the current stage, the Kingdom is more concerned with providing enough employment than with the issue of not having enough labor force. To illustrate, Saudi Arabia has the highest youth unemployment rate in the G20, which translates as the highest youth unemployment rate among the GCC countries. Another feature of the Kingdom’s economy is the gender disparity in labor force participation, with a ** percent gap in women's labor force participation in 2016.

The global smartphone penetration rate was estimated at ** percent in 2024, up from 2023. This is based on an estimated *** billion smartphone subscriptions worldwide and a global population of around *** billion. Regional differences in smartphone penetration Throughout the world, the smartphone penetration rate in the general population varies greatly. For example, in North America and Europe, the smartphone adoption rate stands at roughly ** and ** percent, respectively. Whereas in Sub-Saharan Africa, the same rate only stands at ** percent as of late 2023, showing a roughly ** percent difference in adoption rates between the highest and lowest ranked regions. Global smartphone shipments The number of global smartphone shipments saw a drop in recent years. However, the number of shipments is expected to recover to previous levels in the upcoming years. Most recently, Samsung and Apple have been leading the share of smartphone shipments worldwide, with other competitors such as Xiaomi and Oppo are catching up. Most of the top contributors to the smartphone market are concentrated in the Asia-Pacific region, which is also the region is the one with the most smartphone sales to end users as a whole.

In 2025, there were 435,500 people aged between 40 and 44 in the Republic of Ireland, the most common age group among those provided in this year.