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, one quarter of all users of decentralized social media platform Mastodon were aged between 25 and 34 years. One in five 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 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.

About this dataset

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.

Content

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

• Gender: This column displays the Gender (Male / Female)
• Population: The population of the gender in the Mastodon township is shown in this column.
• % of Total Population: This column displays the percentage distribution of each gender as a proportion of Mastodon township 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 Mastodon township Population by Race & Ethnicity. You can refer the same here

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.

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.

The decentralized social media (DSM) platform market is experiencing significant growth, driven by increasing concerns over data privacy, censorship, and centralized control of online platforms. The market, while currently relatively small, is projected to experience substantial expansion over the forecast period (2025-2033). While precise figures for the past market size are unavailable, a reasonable estimate, considering the nascent nature of the technology and its adoption rate, suggests a 2024 market size in the low tens of millions of dollars. Assuming a conservative Compound Annual Growth Rate (CAGR) of 30% for the next decade (reflecting both technological advancement and market penetration), the market could reach several hundred million dollars by 2033. Key drivers include rising user demand for greater control over their data, a distrust of centralized platforms following numerous high-profile data breaches and censorship incidents, and the technological advancements making decentralized solutions more viable. Emerging trends like blockchain integration for secure data management, improved user interfaces to enhance accessibility, and the development of decentralized identity systems are further fueling market growth. However, restraints include the complexities of blockchain technology, the need for enhanced scalability to support a wider user base, and the inherent challenges of building a sustainable community around decentralized platforms. The lack of widespread awareness and understanding of the benefits of DSM platforms also hinder mass adoption. The diverse landscape of DSM platforms includes established players like Mastodon and Steemit, alongside newer entrants like Holochain and DeSo, each employing varying technological approaches and targeting different user demographics. Segmenting the market based on platform technology (e.g., blockchain-based, distributed ledger-based), target audience (e.g., privacy-conscious users, content creators), and monetization strategies (e.g., token-based rewards, advertising) would offer a more granular understanding. Regional data, while absent, likely reflects a higher adoption rate in tech-savvy regions such as North America and Europe, with growth potential in developing markets as internet penetration and digital literacy increase. Further research into user demographics, platform functionalities, and regulatory landscapes will be crucial to fully assess the market's potential and challenges.

About this dataset

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

• Upon closer examination of the distribution of households among age brackets, it reveals that there are 3(0.80%) households where the householder is under 25 years old, 53(14.13%) households with a householder aged between 25 and 44 years, 100(26.67%) households with a householder aged between 45 and 64 years, and 219(58.40%) households where the householder is over 65 years old.
• The age group of 25 to 44 years exhibits the highest median household income, while the largest number of households falls within the 65 years and over bracket. This distribution hints at economic disparities within the township of Mastodon township, showcasing varying income levels among different age demographics.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Income brackets:

• Less than $10,000
• $10,000 to $14,999
• $15,000 to $19,999
• $20,000 to $24,999
• $25,000 to $29,999
• $30,000 to $34,999
• $35,000 to $39,999
• $40,000 to $44,999
• $45,000 to $49,999
• $50,000 to $59,999
• $60,000 to $74,999
• $75,000 to $99,999
• $100,000 to $124,999
• $125,000 to $149,999
• $150,000 to $199,999
• $200,000 or more

Variables / Data Columns

• Household Income: This column showcases 16 income brackets ranging from Under $10,000 to $200,000+ ( As mentioned above).
• Under 25 years: The count of households led by a head of household under 25 years old with income within a specified income bracket.
• 25 to 44 years: The count of households led by a head of household 25 to 44 years old with income within a specified income bracket.
• 45 to 64 years: The count of households led by a head of household 45 to 64 years old with income within a specified income bracket.
• 65 years and over: The count of households led by a head of household 65 years and over old with income within a specified income bracket.

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 Mastodon township median household income by age. You can refer the same here

About this dataset

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

• Upon closer examination of the distribution of households among age brackets, it reveals that there are 1(0.30%) households where the householder is under 25 years old, 46(13.81%) households with a householder aged between 25 and 44 years, 109(32.73%) households with a householder aged between 45 and 64 years, and 177(53.15%) households where the householder is over 65 years old.
• The age group of 25 to 44 years exhibits the highest median household income, while the largest number of households falls within the 65 years and over bracket. This distribution hints at economic disparities within the township of Mastodon township, showcasing varying income levels among different age demographics.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Income brackets:

• Less than $10,000
• $10,000 to $14,999
• $15,000 to $19,999
• $20,000 to $24,999
• $25,000 to $29,999
• $30,000 to $34,999
• $35,000 to $39,999
• $40,000 to $44,999
• $45,000 to $49,999
• $50,000 to $59,999
• $60,000 to $74,999
• $75,000 to $99,999
• $100,000 to $124,999
• $125,000 to $149,999
• $150,000 to $199,999
• $200,000 or more

Variables / Data Columns

• Household Income: This column showcases 16 income brackets ranging from Under $10,000 to $200,000+ ( As mentioned above).
• Under 25 years: The count of households led by a head of household under 25 years old with income within a specified income bracket.
• 25 to 44 years: The count of households led by a head of household 25 to 44 years old with income within a specified income bracket.
• 45 to 64 years: The count of households led by a head of household 45 to 64 years old with income within a specified income bracket.
• 65 years and over: The count of households led by a head of household 65 years and over old with income within a specified income bracket.

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 Mastodon township median household income by age. You can refer the same here

About this dataset

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

• Employment patterns: Within Mastodon township, among individuals aged 15 years and older with income, there were 337 men and 279 women in the workforce. Among them, 92 men were engaged in full-time, year-round employment, while 80 women were in full-time, year-round roles.
• Annual income under $24,999: Of the male population working full-time, 7.61% fell within the income range of under $24,999, while 25% of the female population working full-time was represented in the same income bracket.
• Annual income above $100,000: 14.13% of men in full-time roles earned incomes exceeding $100,000, while 2.50% of women in full-time positions earned within this income bracket.
• Refer to the research insights for more key observations on more income brackets ( Annual income under $24,999, Annual income between $25,000 and $49,999, Annual income between $50,000 and $74,999, Annual income between $75,000 and $99,999 and Annual income above $100,000) and employment types (full-time year-round and part-time)

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Income brackets:

• $1 to $2,499 or loss
• $2,500 to $4,999
• $5,000 to $7,499
• $7,500 to $9,999
• $10,000 to $12,499
• $12,500 to $14,999
• $15,000 to $17,499
• $17,500 to $19,999
• $20,000 to $22,499
• $22,500 to $24,999
• $25,000 to $29,999
• $30,000 to $34,999
• $35,000 to $39,999
• $40,000 to $44,999
• $45,000 to $49,999
• $50,000 to $54,999
• $55,000 to $64,999
• $65,000 to $74,999
• $75,000 to $99,999
• $100,000 or more

Variables / Data Columns

• Income Bracket: This column showcases 20 income brackets ranging from $1 to $100,000+..
• Full-Time Males: The count of males employed full-time year-round and earning within a specified income bracket
• Part-Time Males: The count of males employed part-time and earning within a specified income bracket
• Full-Time Females: The count of females employed full-time year-round and earning within a specified income bracket
• Part-Time Females: The count of females employed part-time and earning within a specified income bracket

Employment type classifications include:

• Full-time, year-round: A full-time, year-round worker is a person who worked full time (35 or more hours per week) and 50 or more weeks during the previous calendar year.
• Part-time: A part-time worker is a person who worked less than 35 hours per week during the previous calendar year.

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 Mastodon township median household income by race. You can refer the same here

About this dataset

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.

Content

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:

• 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 Mastodon township
• Population: The population of the racial category (excluding ethnicity) in the Mastodon township is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Mastodon township 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 Mastodon township Population by Race & Ethnicity. You can refer the same here

About this dataset

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

• For Family Households: In Mastodon township, the majority of family households, representing 16.9%, earn $100,000 to $124,999, showcasing a substantial share of the community families falling within this income bracket. Conversely, the minority of family households, comprising 0.0%, have incomes falling $125,000 to $149,999, representing a smaller but still significant segment of the community.
• For Non-Family Households: In Mastodon township, the majority of non-family households, accounting for 16.05%, have income $35,000 to $39,999, indicating that a substantial portion of non-family households falls within this income bracket. On the other hand, the minority of non-family households, comprising 0.0%, earn $125,000 to $149,999, representing a smaller, yet notable, portion of non-family households in the community.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Income Levels:

• Less than $10,000
• $10,000 to $14,999
• $15,000 to $19,999
• $20,000 to $24,999
• $25,000 to $29,999
• $30,000 to $34,999
• $35,000 to $39,999
• $40,000 to $44,999
• $45,000 to $49,999
• $50,000 to $59,999
• $60,000 to $74,999
• $75,000 to $99,999
• $125,000 to $149,999
• $150,000 to $199,999
• $200,000 or more

Variables / Data Columns

• Income Level: The income level represents the income brackets ranging from Less than $10,000 to $200,000 or more in Mastodon Township, Michigan (As mentioned above).
• All Households: Count of households for the specified income level
• % All Households: Percentage of households at the specified income level relative to the total households in Mastodon Township, Michigan
• Family Households: Count of family households for the specified income level
• % Family Households: Percentage of family households at the specified income level relative to the total family households in Mastodon Township, Michigan
• Non-Family Households: Count of non-family households for the specified income level
• % Non-Family Households: Percentage of non-family households at the specified income level relative to the total non-family households in Mastodon Township, Michigan

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 Mastodon township median household income. You can refer the same here

About this dataset

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): 92.99% are white, 2.15% are American Indian and Alaska Native, 0.72% are Asian and 4.15% 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 Mastodon township
• Population: The population of the racial category (excluding ethnicity) in the Mastodon township is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Mastodon township 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 Mastodon township Population by Race & Ethnicity. You can refer the same here

About this dataset

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).

Content

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:

• 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 Mastodon township
• Population: The population of the racial category (for Non-Hispanic) in the Mastodon township is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Mastodon township 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 Mastodon township Population by Race & Ethnicity. You can refer the same here