As of February 2025, *********** of all users of decentralized social media platform Mastodon were aged between 25 and 34 years. *********** users were aged between 18 and 24 years. Mastodon and Bluesky are decentralized social networks where control and data are distributed across multiple independent servers.
As of March 2023, decentralized social media platform Mastodon had over ten million registered users. In November 2022, there were 2.5 million users registered to the online network, an increase of around 300 percent within five months. Additionally, Mastodon, which shares similar micro-blogging features to Twitter, gained roughly 500 thousand users within ten days of Elon Musk's Twitter takeover on October 27th, 2022.
As of February 2025, decentralized social media platform Mastodon comprised of ***** percent male users. Mastodon and Bluesky are decentralized social networks where control and data are distributed across multiple independent servers.
Decentralized social media platform Mastodon saw ****** app downloads worldwide in March 2025, down from ******* downloads in February 2025. In November 2022, the app experienced a surge in downloads, reaching *********** downloads in just one month.
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 Mastodon township by gender, including both male and female populations. This dataset can be utilized to understand the population distribution of Mastodon township across both sexes and to determine which sex constitutes the majority.
Key observations
There is a slight majority of male population, with 50.95% of total population being male. 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 Mastodon township Population by Race & Ethnicity. You can refer the same here
https://www.datainsightsmarket.com/privacy-policyhttps://www.datainsightsmarket.com/privacy-policy
The decentralized social media (DeSo) software market is experiencing rapid growth, driven by increasing concerns over data privacy, censorship, and the centralized control of traditional social media platforms. The market's expansion is fueled by a growing user base seeking platforms that offer greater control over their data and online interactions. While precise figures for market size are unavailable, considering the current user base of established platforms like Mastodon and the significant investment and development in emerging platforms like Bluesky and Lens Protocol, a conservative estimate for the 2025 market size would be around $500 million. Considering a projected Compound Annual Growth Rate (CAGR) of 30% from 2025-2033, this suggests substantial market expansion, potentially reaching over $6 billion by 2033. Key drivers include heightened user demand for greater autonomy and transparency, the development of more user-friendly interfaces, and ongoing improvements in blockchain technology facilitating scalability and accessibility. Trends indicate a shift toward interoperability between different decentralized platforms, fostering a more interconnected and decentralized social media ecosystem. However, challenges remain, including the complexities of blockchain technology for the average user, scalability issues for some platforms, and the potential for fragmentation within the decentralized landscape, which may hinder widespread adoption. The market segmentation shows a diverse range of platforms catering to various needs and preferences. Some platforms, like Mastodon, emphasize open-source development and community governance, while others, like Bluesky, are backed by significant venture capital and focus on ease of use. Notably, platforms leverage different blockchain technologies and approaches, highlighting the evolving nature of this sector. Companies such as Minds, Diaspora, and Steemit are established players, continuously evolving to compete with newer entrants and technological advancements. While regional data is currently absent, early adoption trends suggest strong interest in North America and Europe, followed by Asia-Pacific and other regions. Further growth is contingent on addressing challenges related to user experience, scaling infrastructure, and fostering wider mainstream adoption.
https://www.marketreportanalytics.com/privacy-policyhttps://www.marketreportanalytics.com/privacy-policy
The decentralized social media (DSM) software market is experiencing rapid growth, driven by increasing concerns over data privacy, censorship, and centralized control of online platforms. The market, currently estimated at $500 million in 2025, is projected to witness a Compound Annual Growth Rate (CAGR) of 30% from 2025 to 2033, reaching approximately $4 billion by 2033. This expansion is fueled by several key trends: the rising adoption of blockchain technology, the growing demand for user-owned data, and a surge in interest in Web3 applications. The key application segments are personal use and enterprise solutions, with cloud-based deployment leading the way. While the market faces challenges like scalability issues, user experience limitations, and the need for enhanced security measures, the inherent advantages of decentralization – increased transparency, censorship resistance, and improved data security – are powerful drivers of market expansion. The competitive landscape is dynamic, with a multitude of platforms, including Minds, Mastodon, Bluesky, and others, vying for market share. This competition fosters innovation and drives the evolution of the DSM ecosystem, leading to the development of more robust and user-friendly platforms. Regional growth is anticipated across all regions, with North America and Europe expected to maintain a significant market share due to higher technology adoption rates and strong awareness of decentralized technologies. However, rapid adoption in Asia-Pacific and other developing regions is anticipated, potentially leading to a more balanced global distribution in the coming years. The success of the DSM market hinges on overcoming technical and adoption challenges. This includes improving the overall user experience, enhancing interoperability between different platforms, and addressing scalability limitations to support a larger user base. Furthermore, education and awareness campaigns are crucial to attract both individual users and businesses, highlighting the benefits of decentralized social media in terms of privacy, control, and community governance. As the technology matures and the user base expands, the DSM market's growth trajectory is expected to remain strong, potentially transforming the social media landscape as we know it. The integration of innovative features such as decentralized identity solutions and improved content moderation mechanisms will further contribute to the growth and mainstream adoption of these platforms.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset presents the the household distribution across 16 income brackets among four distinct age groups in Mastodon township: Under 25 years, 25-44 years, 45-64 years, and over 65 years. The dataset highlights the variation in household income, offering valuable insights into economic trends and disparities within different age categories, aiding in data analysis and decision-making..
Key observations
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.
Income brackets:
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 Mastodon township median household income 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 presents the the household distribution across 16 income brackets among four distinct age groups in Mastodon township: Under 25 years, 25-44 years, 45-64 years, and over 65 years. The dataset highlights the variation in household income, offering valuable insights into economic trends and disparities within different age categories, aiding in data analysis and decision-making..
Key observations
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Income brackets:
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 Mastodon township median household income 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 Mastodon township by race. It includes the population of Mastodon township across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of Mastodon township across relevant racial categories.
Key observations
The percent distribution of Mastodon township population by race (across all racial categories recognized by the U.S. Census Bureau): 92.57% are white, 1.22% are American Indian and Alaska Native, 0.95% are Asian and 5.27% are multiracial.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Racial categories include:
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 Mastodon township 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 presents the detailed breakdown of the count of individuals within distinct income brackets, categorizing them by gender (men and women) and employment type - full-time (FT) and part-time (PT), offering valuable insights into the diverse income landscapes within Mastodon township. The dataset can be utilized to gain insights into gender-based income distribution within the Mastodon township population, aiding in data analysis and decision-making..
Key observations
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Income brackets:
Variables / Data Columns
Employment type classifications include:
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 Mastodon township median household income by race. 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 Non-Hispanic population of Mastodon township by race. It includes the distribution of the Non-Hispanic population of Mastodon township across various race categories as identified by the Census Bureau. The dataset can be utilized to understand the Non-Hispanic population distribution of Mastodon township across relevant racial categories.
Key observations
Of the Non-Hispanic population in Mastodon township, the largest racial group is White alone with a population of 684 (92.56% of the total Non-Hispanic population).
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Racial categories include:
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 Mastodon township 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 presents a breakdown of households across various income brackets in Mastodon Township, Michigan, as reported by the U.S. Census Bureau. The Census Bureau classifies households into different categories, including total households, family households, and non-family households. Our analysis of U.S. Census Bureau American Community Survey data for Mastodon Township, Michigan reveals how household income distribution varies among these categories. The dataset highlights the variation in number of households with income, offering valuable insights into the distribution of Mastodon township households based on income levels.
Key observations
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Income Levels:
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 Mastodon township median household income. You can refer the same here
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As of February 2025, *********** of all users of decentralized social media platform Mastodon were aged between 25 and 34 years. *********** users were aged between 18 and 24 years. Mastodon and Bluesky are decentralized social networks where control and data are distributed across multiple independent servers.