As of February 2025, users between the ages of ************** accounted for the biggest share of Twitch.tv users worldwide. During the measured period, users in this age group amounted to over ** percent of Twitch online audiences. Users aged between *************** were the second largest demographic accessing with Twitch.
As of November 2024, more than ************ online visitors to streaming platform Twitch.tv were male. Women only accounted for ***** percent of global desktop visitors to Twitch.tv. Twitch is a popular platform for video gaming live streams.
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We'll tailor a Twitch dataset to meet your unique needs, encompassing streamer profiles, viewer engagement metrics, streaming times, demographic data of viewers, follower counts, chat statistics, and other pertinent metrics.
Leverage our Twitch datasets for diverse applications to bolster strategic planning and market analysis. Scrutinizing these datasets enables organizations to grasp viewer preferences and streaming trends, facilitating nuanced content development and engagement initiatives. Customize your access to the entire dataset or specific subsets as per your business requisites.
Popular use cases involve optimizing content strategy based on streamer performance and viewer engagement, enhancing marketing strategies through targeted audience segmentation, and identifying and forecasting trends in the streaming community to stay ahead in the digital entertainment landscape.
When it comes to distribution of Twitch users in the United States, 37 percent of female consumers fall into this category in the U.S.Statista Consumer Insights offer you all results of our exclusive Statista surveys, based on more than 2,000,000 interviews.
In March 2025, video streaming platform Twitch had approximately *** million active streamers, down from a peak of **** million in January 2021. The platform experienced a boom during the COVID-19 pandemic, when many new users used the platform to connect with friends or try their hand at livestreaming. However, this trend normalized again towards the end of the year, and the streaming space has also grown more competitive as platforms apart from Twitch have evolved to attract streamers and viewers. Popular content categories on Twitch In 2024, most of the leading content categories on Twitch were all gaming-related – except for the top spot: Just Chatting. The general conversation category accumulated *** billion hours of viewing time in the measured period. In March 2025, global Twitch audiences spent around *** million hours watching Just Chatting content on Twitch, with the average viewer count of such content reaching *** thousand. HasanAbi was the most popular Just Chatting streamer on Twitch in the most recently measured month. Game streamers Twitch is very popular with gamers and gaming audiences, and the ranking of the most popular Twitch streamers reflects this. Ninja (real name: Richard Tyler Blevins), the top-ranked streamer on Twitch, had **** million followers in April 2025. Ninja saw a meteoric rise to fame when he was one of the first top-ranked players to stream the then-newly released Fortnite Battle Royale at the end of 2017. Second-ranked ibai (real name: Ibai Llanos Garatea) was ranked second with ***** million followers on Twitch. With more than **** million followers, Imane Anys, better known as Pokimane, was the only woman among the most-followed Twitch streamers worldwide. Overall, women only accounted for **** percent of the top-ranked Twitch channels.
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Streaming Statistics:Â Streaming has revolutionized how people consume entertainment, replacing traditional television with on-demand access to music, video, news, and gaming content. As of 2025, there are approximately 1.8 billion video streaming subscriptions worldwide, reflecting a significant increase from 1.1 billion in 2020. In the United States, 83% of households subscribe to at least one streaming service, up from 52% in 2015.
Leading platforms like Netflix, Amazon Prime Video, and Disney+ have amassed substantial subscriber bases. Netflix leads with over 282 million global subscribers, followed by Amazon Prime Video with an estimated 230 million, and Disney+ with approximately 153.8 million.
The rise of streaming has also empowered content creators. Since 2020, over 165 million individuals have joined the creator economy through social media platforms. Notably, YouTube hosts over 64 million content creators globally.
This shift underscores the growing importance of streaming in both consumer entertainment and content creation, highlighting its role in shaping modern media consumption and production.
Currently, YouTube and Netflix are the most widely used streaming services, providing hours of entertainment from the comfort of home. The following streaming statistics for 2024 and 2025 will offer insights into market trends.
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Streaming Services Statistics: Streaming services have transformed the entertainment landscape, revolutionizing how people consume content.
The advent of high-speed internet and the proliferation of smart devices have fueled the growth of these platforms, offering a wide array of movies, TV shows, music, and more, at the viewers' convenience.
This introduction provides an overview of key statistics that shed light on the impact, trends, and challenges within the streaming industry.
According to a survey conducted in March 2024, 12 percent of U.S. adults aged 18 to 34 reported that they watched live stream videos several times a day. However, 17 percent of U.S. adults aged 35 to 54 reported that they never watched live stream videos. Only 13 percent of U.S. adults 55 and older watched live stream videos several times a day.
Going live: meet the streamers In May 2024, American YouTuber and gamer KaiCenat was the leading Twitch streamer worldwide – with 19.5 million hours watched in the previous 30 days. As in the case of their audiences, most live streamers topping the ranking were men as of February 2022: less than one in 10 of the leading streamers on Twitch, YouTube, and Facebook gaming was a woman. Rivers_gg was the leading female streamer on Twitch, with 8.88 million hours between January and May 2023, while Texas-based Amouranth ranked fourth with 6.44 million hours watched by global users in the first months of 2023. The streamer made news when she decided to join Kick exclusively, becoming the platform’s leading female streamer in July 2023 with around 500 thousand hours watched during the month.
Kick positioning Kick is a live streaming platform launched at the end of 2022 to compete with market leader YouTube Gaming and Amazon-backed Twitch. In the first quarter of 2023, Kick slid into the ranking of the most popular global live streaming platforms, with over 58 million hours watched by global users. While the number remains less significant when compared to the eight billion hours watched generated by YouTube, as well as the five billion hours watched cranked up by Twitch, Kick has been aggressively marketing itself as a creators’ hub in order to attract more creative talents. In mid-August 2023, the company announced the opening of their first Creator Incentive program, designed to boost emerging streamers’ popularity and increase the platform’s visibility.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the Gulf Stream population by gender and age. The dataset can be utilized to understand the gender distribution and demographics of Gulf Stream.
The dataset constitues the following two datasets across these two themes
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.
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/.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the Carol Stream population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of Carol Stream across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.
Key observations
In 2023, the population of Carol Stream was 38,966, a 0.30% decrease year-by-year from 2022. Previously, in 2022, Carol Stream population was 39,082, a decline of 0.88% compared to a population of 39,427 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Carol Stream decreased by 1,702. In this period, the peak population was 40,668 in the year 2000. The numbers suggest that the population has already reached its peak and is showing a trend of decline. Source: U.S. Census Bureau Population Estimates Program (PEP).
When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).
Data Coverage:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Carol Stream Population by Year. You can refer the same here
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the Grand Lake Stream plantation 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 Grand Lake Stream plantation. The dataset can be utilized to understand the population distribution of Grand Lake Stream plantation by age. For example, using this dataset, we can identify the largest age group in Grand Lake Stream plantation.
Key observations
The largest age group in Grand Lake Stream Plantation, Maine was for the group of age 65 to 69 years years with a population of 43 (22.87%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Grand Lake Stream Plantation, Maine was the Under 5 years years with a population of 0 (0%). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates
Age groups:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Grand Lake Stream plantation Population by Age. You can refer the same here
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License information was derived automatically
The dataset provides a robust exploration of user-streamer interactions on Twitch, a popular live-streaming platform, over a span of 43 days. This temporal investigation captures data every 10 minutes, charting the evolving dynamics of streaming content consumption.
Key Attributes: 1. User ID (anonymized): A unique identifier for users participating in the Twitch platform. 2. Stream ID: A unique identifier for individual streams, facilitating the retrieval of specific broadcast segments. 3. Streamer Username: The username of the streamers on Twitch. 4. Time Start: The starting time of the interaction, represented as integers in 10-minute intervals. 5. Time Stop: The ending time of the interaction, similarly represented.
Dataset Statistics: - Users: 15.5 million (with a subset of 100,000 users for benchmarking purposes) - Streamers: 465,000 - Interactions: 124 million - Time Steps: 6,148 (covering the 43-day span)
Data Structure: The dataset is structured in a comma-separated value (CSV) format, making it easily navigable and ready for analysis. It is divided into two main files: 1. full_a.csv.gz: The comprehensive dataset capturing all interactions. 2. 100k.csv: A curated subset focusing on 100,000 users, ideal for benchmark testing.
Supplementary Resources: - The dataset comes with a dedicated Github repository, hosting the dataset alongside the codebase, facilitating further exploration and analysis. - A specific data folder houses the Twitch files for easy access and download.
Usage: This dataset finds its roots in academic exploration, specifically aiding the study titled "Recommendation on Live-Streaming Platforms: Dynamic Availability and Repeat Consumption" by Jérémie Rappaz, Julian McAuley, and Karl Aberer, presented at RecSys, 2021. It offers a fertile ground for researchers and analysts keen on understanding live-streaming platforms' user engagement dynamics, community building, and the impact of temporal factors on content consumption.
Estimates of various low-flow statistics were computed at 51 ungaged stream locations throughout New Jersey during the 2018 water year using methods in the published reports, Streamflow Characteristics and Trends in New Jersey, Water Years 1897-2003 (Watson and others, 2005) and Implementation of MOVE.1, Censored MOVE.1, and Piecewise MOVE.1 Low-Flow Regressions with Applications at Partial-Record Streamgages in New Jersey (Colarullo and others, 2018). The estimates are computed as needed for use in water resources permitting, assessment, and management by the New Jersey Department of Environmental Protection. The data release includes the stream name, location, method of estimation, drainage area, and intended use of the low-flow statistics computed during the 2018 water year. The data are provided as both a plain text file and ArcGIS shapefile format. References for publications cited: Watson, K.M., Reiser, R.G., Nieswand, S.P., and Schopp, R.D., 2005, Streamflow characteristics and trends in New Jersey, water years 1897-2003: U.S. Geological Survey Scientific Investigations Report 2005-5105, 131 p., https://pubs.usgs.gov/sir/2005/5105/pdf/NJsir2005-5105_report.pdf. Colarullo, S.J., Sullivan, S.L., and McHugh, A.R., 2018, Implementation of MOVE.1, censored MOVE.1, and piecewise MOVE.1 low-flow regressions with applications at partial-record streamgaging stations in New Jersey: U.S. Geological Survey Open-File Report 2018–1089, 20 p., https://doi.org/10.3133/ofr20181089.
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License information was derived automatically
Context
The dataset tabulates the Valley Stream population by age cohorts (Children: Under 18 years; Working population: 18-64 years; Senior population: 65 years or more). It lists the population in each age cohort group along with its percentage relative to the total population of Valley Stream. The dataset can be utilized to understand the population distribution across children, working population and senior population for dependency ratio, housing requirements, ageing, migration patterns etc.
Key observations
The largest age group was 18 to 64 years with a poulation of 25,551 (63.44% of the total population). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Age cohorts:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Valley Stream Population by Age. You can refer the same here
Twitch is an online video streaming service which allows eSports and gaming fans to watch their favorite gamers play a variety of online video games. In 2022, there were around 33.2 million Twitch users in the United States and this figure is estimated to rise to 36.7 million by 2025.
Game Streaming Market Size 2024-2028
The game streaming market size is forecast to increase by USD 1.05 billion at a CAGR of 8.51% between 2023 and 2028.
The market is experiencing significant growth, driven by several key trends. One notable trend is the increasing popularity of eSports tournaments, which have gained massive followings and sponsorships from major brands. Another trend is the growing demographic of women gamers, who now represent a substantial portion of the gaming community. Additionally, the health benefits of gaming, such as improved cognitive function and stress relief, are increasingly being recognized. These factors, among others, are fueling the growth of the market. However, challenges remain, including the need for high-speed internet connections and the potential for addiction and negative health effects. Despite these challenges, the market is poised for continued expansion as technology advances and gaming becomes more mainstream.
What will be the Size of the Game Streaming Market During the Forecast Period?
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The market is experiencing significant growth and transformation, driven by the growth in popularity of game streaming services and the mobile gaming sector. Major players in this market include Facebook Gaming and YouTube Gaming, which leverage their extensive user bases to offer live streaming and on-demand content. Cloud gaming platforms, such as Microsoft xCloud and Google Stadia, are revolutionizing the industry by enabling users to play high-quality games without the need for expensive hardware. Traditional gaming companies, like PlayStation and Xbox, have entered the fray with their respective streaming services, PlayStation Plus and Xbox Game Pass. The market's size is projected to expand as technological development and infrastructure improvements facilitate smoother delivery of streaming content.
Content acquisition remains a key focus, with popular titles like League of Legends, Dota 2, PUBG Mobile, Clash Royale, and Free Fire attracting large audiences. Content creation and monetization options are also crucial, with streaming platforms providing tools and monetization options for content creators to engage their audiences effectively. The role of the YouTube network and other live streaming tools in this ecosystem cannot be overlooked, as they offer a significant reach and influence on consumer behavior. Overall, the market is poised for continued growth and innovation, fueled by the intersection of technological advancements and evolving consumer preferences.
How is this Game Streaming Industry segmented and which is the largest segment?
The game streaming industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments.
Revenue Stream
In-game advertising
Subscription
Others
Geography
North America
US
Europe
Germany
UK
APAC
China
Japan
South America
Middle East and Africa
By Revenue Stream Insights
The in-game advertising segment is estimated to witness significant growth during the forecast period.
The market experienced substantial growth in 2021, with in-game advertising emerging as the largest segment. This trend is anticipated to continue during the forecast period, fueled by the increasing popularity of social media and mobile gaming. In-game advertising integrates advertisements into desktop and mobile games through various formats such as ads, clips, billboards, and backdrop displays. These non-interruptive advertisements offer a smoother gaming experience for players while delivering stronger audio-visual effects for viewers. As the mobile gaming sector continues to expand, driven by smartphone penetration rates and the availability of high-speed connectivity, game streaming services like Facebook Gaming, YouTube Gaming, Microsoft xCloud, Google Stadia, PlayStation Plus, Xbox Game Pass, League of Legends, Dota 2, PUBG Mobile, Clash Royale, and Free Fire are investing in strategic efforts to enhance their content delivery and monetization options.
Key technological developments, including the deployment of 5G networks by providers such as Optus and Pentanet, are further boosting the growth of the market. Content creators leverage live streaming tools like those offered by the YouTube network to engage audiences and monetize their content through platforms like Social Blade, where influencers like Germán Alejandro (JuegaGerman) and Garmendia Aranis have amassed significant followings.
Get a glance at the Game Streaming Industry report of share of various segments Request Free Sample
The in-game advertising segment was valued at USD 1.08 billion in 2018 and showed a gradual increase during the forecast peri
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the data for the Grand Lake Stream Plantation, Maine population pyramid, which represents the Grand Lake Stream plantation population distribution across age and gender, using estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 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
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Age groups:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Grand Lake Stream plantation Population by Age. You can refer the same here
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the population of Grand Lake Stream plantation by gender, including both male and female populations. This dataset can be utilized to understand the population distribution of Grand Lake Stream plantation across both sexes and to determine which sex constitutes the majority.
Key observations
There is a slight majority of female population, with 52.13% of total population being female. Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
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. No further analysis is done on the data reported from the Census Bureau.
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Grand Lake Stream plantation Population by Race & Ethnicity. You can refer the same here
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the Carol Stream 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 Carol Stream. The dataset can be utilized to understand the population distribution of Carol Stream by age. For example, using this dataset, we can identify the largest age group in Carol Stream.
Key observations
The largest age group in Carol Stream, IL was for the group of age 55 to 59 years years with a population of 3,005 (7.62%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Carol Stream, IL was the 80 to 84 years years with a population of 557 (1.41%). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates
Age groups:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Carol Stream Population by Age. You can refer the same here
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the Gulf Stream population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of Gulf Stream across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.
Key observations
In 2023, the population of Gulf Stream was 968, a 1.47% increase year-by-year from 2022. Previously, in 2022, Gulf Stream population was 954, a decline of 0% compared to a population of 954 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Gulf Stream increased by 254. In this period, the peak population was 985 in the year 2019. The numbers suggest that the population has already reached its peak and is showing a trend of decline. Source: U.S. Census Bureau Population Estimates Program (PEP).
When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).
Data Coverage:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Gulf Stream Population by Year. You can refer the same here
As of February 2025, users between the ages of ************** accounted for the biggest share of Twitch.tv users worldwide. During the measured period, users in this age group amounted to over ** percent of Twitch online audiences. Users aged between *************** were the second largest demographic accessing with Twitch.