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The public relations (PR) and communications industry has expanded and is expected to swell at a compound annual rate of 4.6% to reach £4.7 billion over the five years through 2024-25. This growth is thanks to companies recognising the importance of maintaining a strong digital presence in the face of evolving media landscapes. Traditional media's shift towards new digital platforms has facilitated more direct interactions with target audiences, enhancing demand for PR services. The sector has consistently demonstrated resilience despite periodic fluctuations influenced by business confidence and government spending levels. The pandemic posed challenges as businesses curtailed PR spending amid dwindling confidence, yet government efforts to circulate vital information during the crisis partially cushioned this impact. As the industry navigates the post-pandemic economic landscape, it confronts both opportunities and hurdles. The evolution and integration of artificial intelligence (AI) is revolutionising productivity, enabling PR firms to allocate more resources towards creative strategies. This technological advancement, coupled with major global events (like the 2024 Paris Olympic games) and increased corporate engagement in socio-political issues, including the Israel-Hamas war, is set to spur demand for PR services. Notably, an expected 5% rise in industry revenue in 2024-25 underscores the sector's promising outlook. The industry's profitability is likely to step up, albeit modestly, constrained by economic uncertainties and the imperative for businesses to preserve profits amid potential client losses. Industry revenue is forecast to soar by 5.3% over the five years through 2029-30, reaching £6 billion. This growth will be underpinned by heightened business activity, augmented government spending and an expanding digital media landscape. Platforms (like websites, blogs and social media) offer fertile ground for expansion, promising to elevate profit alongside revenue. Nonetheless, emerging challenges, including intensifying competition and ethical considerations surrounding AI use, are poised to shape the industry's trajectory. Amid this dynamic environment, PR firms that adeptly navigate these trends while championing ethical and environmentally friendly practices are likely to capture increasing demand for PR services.
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Uniqueness, commonalities and conditional dominance for all algorithms in the three subsets of items.
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TwitterSuccess.ai’s Company Data Solutions provide businesses with powerful, enterprise-ready B2B company datasets, enabling you to unlock insights on over 28 million verified company profiles. Our solution is ideal for organizations seeking accurate and detailed B2B contact data, whether you’re targeting large enterprises, mid-sized businesses, or small business contact data.
Success.ai offers B2B marketing data across industries and geographies, tailored to fit your specific business needs. With our white-glove service, you’ll receive curated, ready-to-use company datasets without the hassle of managing data platforms yourself. Whether you’re looking for UK B2B data or global datasets, Success.ai ensures a seamless experience with the most accurate and up-to-date information in the market.
Why Choose Success.ai’s Company Data Solution? At Success.ai, we prioritize quality and relevancy. Every company profile is AI-validated for a 99% accuracy rate and manually reviewed to ensure you're accessing actionable and GDPR-compliant data. Our price match guarantee ensures you receive the best deal on the market, while our white-glove service provides personalized assistance in sourcing and delivering the data you need.
Why Choose Success.ai?
Our database spans 195 countries and covers 28 million public and private company profiles, with detailed insights into each company’s structure, size, funding history, and key technologies. We provide B2B company data for businesses of all sizes, from small business contact data to large corporations, with extensive coverage in regions such as North America, Europe, Asia-Pacific, and Latin America.
Comprehensive Data Points: Success.ai delivers in-depth information on each company, with over 15 data points, including:
Company Name: Get the full legal name of the company. LinkedIn URL: Direct link to the company's LinkedIn profile. Company Domain: Website URL for more detailed research. Company Description: Overview of the company’s services and products. Company Location: Geographic location down to the city, state, and country. Company Industry: The sector or industry the company operates in. Employee Count: Number of employees to help identify company size. Technologies Used: Insights into key technologies employed by the company, valuable for tech-based outreach. Funding Information: Track total funding and the most recent funding dates for investment opportunities. Maximize Your Sales Potential: With Success.ai’s B2B contact data and company datasets, sales teams can build tailored lists of target accounts, identify decision-makers, and access real-time company intelligence. Our curated datasets ensure you’re always focused on high-value leads—those who are most likely to convert into clients. Whether you’re conducting account-based marketing (ABM), expanding your sales pipeline, or looking to improve your lead generation strategies, Success.ai offers the resources you need to scale your business efficiently.
Tailored for Your Industry: Success.ai serves multiple industries, including technology, healthcare, finance, manufacturing, and more. Our B2B marketing data solutions are particularly valuable for businesses looking to reach professionals in key sectors. You’ll also have access to small business contact data, perfect for reaching new markets or uncovering high-growth startups.
From UK B2B data to contacts across Europe and Asia, our datasets provide global coverage to expand your business reach and identify new markets. With continuous data updates, Success.ai ensures you’re always working with the freshest information.
Key Use Cases:
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Context
The dataset tabulates the Rincon Municipio 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 Rincon Municipio. The dataset can be utilized to understand the population distribution of Rincon Municipio by age. For example, using this dataset, we can identify the largest age group in Rincon Municipio.
Key observations
The largest age group in Rincon Municipio, PR was for the group of age 55-59 years with a population of 1,277 (8.46%), according to the 2021 American Community Survey. At the same time, the smallest age group in Rincon Municipio, PR was the 85+ years with a population of 445 (2.95%). Source: U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 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 Rincon Municipio Population by Age. You can refer the same here
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Context
The dataset tabulates the Cidra Municipio 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 Cidra Municipio. The dataset can be utilized to understand the population distribution of Cidra Municipio by age. For example, using this dataset, we can identify the largest age group in Cidra Municipio.
Key observations
The largest age group in Cidra Municipio, PR was for the group of age 60-64 years with a population of 2,982 (7.43%), according to the 2021 American Community Survey. At the same time, the smallest age group in Cidra Municipio, PR was the 80-84 years with a population of 833 (2.08%). Source: U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 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 Cidra Municipio Population by Age. You can refer the same here
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By Ian Greenleigh [source]
The engineering-as-marketing tools available today allow startups to maximize and take advantage of the engineering talents they possess. By creating useful tools such as calculators, widgets and microsites, businesses can get in front of potential customers and lead them to their products or services.
This dataset provides a comprehensive list of companies who are using engineering as a marketing strategy and the respective tools these companies have created for it. For each company you get information about their name, product/service, tool name, what the tool does and a URL for further information about it. Additionally there is an extra notes field providing more details about each company’s market habit or any other additional facts that could be relevant in understanding better the use cases these companies are leading with this new way of doing marketing through engineering driven strategies.
With this data you will be able to take a closer look at how effectively this strategy is working while being able to compare different approaches taken inside each industry vertical in order to maximize conversions among leads generated by all these amazing pieces work made possible by software engineers everywhere devoted every day making our lives easier constantly!
For more datasets, click here.
- 🚨 Your notebook can be here! 🚨!
Analyzing this data allows users to gain insights into how successful companies are using engineering-as-marketing techniques to generate leads and expand their customer base. It also provides a valuable resource for other organizations wanting to learn more about how other organizations have achieved success with such practices.
This dataset can be used in many ways such as:
- Analyzing different trends in which engineering-as-marketing techniques are being used across multiple industries
- Examining whether certain techniques lead to higher lead generation or increased customer base
Comparing effectiveness between companies using different types of tools etc.
To get started with this dataset, simply load it up into some kind of data analysis software package that supports csv file processing capabilities such as Tableau or R Studio. Then define each column appropriately by adding appropriate labels onto them so that they can be understood easily when looked at from a first glance perspective by yourself or other members on your team who are looking over your datasets before any analyses start happening on those files within your chosen data analysis software package . Now you should be all set up for analyzing this dataset!
- Leveraging this data to understand the effectiveness of engineering-as-marketing for various companies.
- Creating a sentiment analysis of customers’ responses to engineering-as-marketing tools in order to determine which tools are most popular and successful.
- Analyzing what types of engineering-as-marketing tools have been most successful with specific customer segments, to inform future product development and marketing tactics
If you use this dataset in your research, please credit the original authors. Data Source
License: CC0 1.0 Universal (CC0 1.0) - Public Domain Dedication No Copyright - You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission. See Other Information.
File: Engineering as Marketing.csv | Column name | Description | |:-------------------|:-------------------------------------------------------------------| | Company name | The name of the company. (String) | | What co does | A brief description of what the company does. (String) | | Tool name | The name of the engineering-as-marketing tool. (String) | | What tool does | A brief description of what the tool does. (String) | | URL | The URL of the engineering-as-marketing tool. (String) | | Notes | Additional notes about the engineering-as-marketing tool. (String) |
If you use this dataset in your research, please credit the original authors. If you use this dataset in your research, please credit Ian Greenleigh.
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The pest control industry has navigated a volatile and complex landscape while balancing growth opportunities with emerging challenges. Consolidation has become the defining feature of recent industry performance, as large companies such as Rentokill and Rollins accelerate mergers and acquisitions to overcome a highly fragmented competitive landscape and expand their geographic reach. Leading companies are using acquisitions to add broaden service offerings and institute economies of scale, which lowers transportation and labor costs and supports resilient revenue growth despite macroeconomic volatility. This consolidation trend has reinforced the position of national and super-regional brands while preserving overall industry growth and has helped sustain competitive pricing and service quality even as do-it-yourself (DIY) options and digital marketplaces expand consumer choice. Revenue has been expanding at a CAGR of 5.0% over the past five years and is expected to reach $28.5 billion in 2025, when revenue will rise by an estimated 5.4%. At the same time, profitability has come under pressure as residential demand has softened and become more price sensitive, particularly during periods of elevated inflation and weak housing activity. A slower market for existing home sales has reduced both move-in and move-out treatments, while many households have temporarily opted for lower-cost DIY products that are widely available through e-commerce retailers such as Amazon and supported by abundant online how-to content. Providers have responded by investing in marketing, technology and specialized residential services to defend share and rebuild volumes, but these initiatives, together with rising labor and compliance costs, have compressed profit even as commercial and recurring contract work has remained comparatively stable. Looking ahead, climate change is expected to be a powerful structural driver of demand, as warmer temperatures, milder winters and more erratic weather extend pest breeding seasons, expand geographic ranges and accelerate resistance to conventional pesticides. More frequent and persistent infestations of insects and other vectors in regions that historically faced limited infestation pressure will support a broadening need for year-round monitoring, prevention and treatment across both residential and commercial customers, including public health-related contracts. Providers that invest in research, integrated pest management and advanced non-chemical or low-impact treatments are positioned to capture rising need, with industry revenue increasingly underpinned by climate-driven needs instead of cyclical housing and consumer spending. Over the next five years, revenue is forecast to rise at a CAGR of 1.6%, reaching $31.0 billion in 2030.
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This dataset contains financial information for the top 2000 global companies in 2024. It includes key metrics such as company name, country, sales, profit, assets, and market value. The data provides valuable insights into the financial performance and market presence of leading companies across various industries worldwide. Ideal for financial analysis, visualization, and global market research.
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TwitterBy Jon Loyens [source]
This powerful dataset brings together publically-available information from leading stock markets with extensive details about corporate board members. For each company, discover not only their board composition and background, but also current market dynamics, trends and rule changes affecting them. Whether you're a teacher looking to add more detail to a class presentation or an investor seeking a competitive edge in the market - this dataset provides comprehensive insights into the world of stocks and those that play an influential role on its direction. Unprecedented access awaits as you explore hypothetical investments and strategies or actual risks associated with established entities today
For more datasets, click here.
- 🚨 Your notebook can be here! 🚨!
Using this dataset, you can gain a better understanding of the relationship between corporate board members and stock market performance. You can analyze the data to determine the average performance of board members at different companies and compare it to the overall performance of other stocks. In addition, you can look into correlations between individual stocks, various industries, and different groups of companies with similar board membership profiles. This dataset provides an overview of all major stocks across multiple industries with detailed insights on each stock's current and past market performance as well as corporate boards
- Analyzing the performance of individual board members in relation to their company’s stock market performance.
- Determining if certain board members are better at making decisions that benefit the company’s stock market position across all companies they have a stake in.
- Identifying correlations between trends in different companies' stocks and external factors such as the influence of particular board members or other events associated with that company's sectors or markets
If you use this dataset in your research, please credit the original authors. Data Source
See the dataset description for more information.
File: boardmembers.csv | Column name | Description | |:--------------------|:-----------------------------------| | BoardMemberName | Name of the board member. (String) | | CompanyName | Name of the company. (String) | | Source | Source of the data. (String) |
If you use this dataset in your research, please credit the original authors. If you use this dataset in your research, please credit Jon Loyens.
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Context
The dataset tabulates the Ceiba Municipio 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 Ceiba Municipio. The dataset can be utilized to understand the population distribution of Ceiba Municipio by age. For example, using this dataset, we can identify the largest age group in Ceiba Municipio.
Key observations
The largest age group in Ceiba Municipio, PR was for the group of age 55-59 years with a population of 825 (7.20%), according to the 2021 American Community Survey. At the same time, the smallest age group in Ceiba Municipio, PR was the 85+ years with a population of 309 (2.70%). Source: U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 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 Ceiba Municipio Population by Age. You can refer the same here
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TwitterDuring a 2024 survey conducted in five countries, half of the respondents listed research and website analytics as a trigger for business-to-business (B2B) technology marketers' content creation. Requests of public relations and field marketing ranked second with a share of ** percent. Requests defined by their regional sales teams were named by ** percent of the interviewees and rounded up the first three.
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According to our latest research, the global Rare Disease Diagnosis AI market size reached USD 1.42 billion in 2024, reflecting a robust growth trajectory driven by rapid advancements in artificial intelligence and increasing demand for early, accurate diagnosis of rare diseases. The market is projected to expand at a compelling CAGR of 28.3% from 2025 to 2033, reaching an estimated value of USD 12.24 billion by the end of the forecast period. This remarkable growth is fueled by a confluence of factors including technological innovation, rising awareness of rare diseases, and the critical need for timely intervention in patient care.
One of the primary growth factors propelling the Rare Disease Diagnosis AI market is the increasing prevalence of rare diseases worldwide, which affects over 400 million people according to the latest global health statistics. Traditional diagnostic pathways for rare diseases are often lengthy and fraught with uncertainty, leading to delayed or incorrect diagnoses. The integration of advanced AI technologies, such as machine learning and deep learning, is revolutionizing the diagnostic landscape by enabling the rapid analysis of complex datasets including genetic, clinical, and imaging data. This not only accelerates the diagnostic process but also enhances accuracy, resulting in improved patient outcomes and a reduction in healthcare costs associated with misdiagnosis and unnecessary treatments. As healthcare systems globally strive to improve patient care and operational efficiency, the adoption of AI-powered diagnostic solutions for rare diseases is expected to surge.
Another key driver of growth in the Rare Disease Diagnosis AI market is the increasing collaboration between technology companies, healthcare providers, and research institutions. These partnerships are fostering the development of sophisticated AI algorithms capable of identifying subtle patterns indicative of rare diseases, even in cases with limited data availability. Furthermore, the proliferation of electronic health records (EHRs), genomic sequencing, and big data analytics is providing a rich foundation for AI systems to learn and evolve. Regulatory bodies are also beginning to recognize the transformative potential of AI in healthcare, leading to the introduction of supportive policies and expedited approval processes for AI-driven diagnostic tools. This regulatory momentum is expected to further catalyze market growth, especially as AI solutions demonstrate their value in real-world clinical settings.
The growing investment in AI research and development by both public and private sectors is another significant growth factor for the Rare Disease Diagnosis AI market. Governments across the globe are allocating substantial funding to rare disease research, recognizing the burden these conditions place on patients, families, and healthcare systems. Simultaneously, venture capital and private equity firms are increasingly backing AI startups focused on healthcare innovation, particularly in the field of rare disease diagnostics. These investments are accelerating the commercialization of novel AI solutions, expanding their accessibility to a broader range of healthcare providers and patients. As AI technology continues to mature and demonstrate its utility in rare disease diagnosis, the market is poised for sustained expansion over the coming decade.
From a regional perspective, North America currently dominates the Rare Disease Diagnosis AI market, accounting for the largest share in 2024. This leadership position is attributed to the region’s advanced healthcare infrastructure, high adoption of cutting-edge technologies, and strong presence of leading AI companies and research institutions. Europe follows closely, benefiting from robust government initiatives aimed at improving rare disease diagnosis and care. The Asia Pacific region is emerging as a high-growth market, driven by increasing healthcare investments, expanding access to advanced diagnostics, and rising awareness of rare diseases. Latin America and the Middle East & Africa are also witnessing gradual adoption, albeit at a slower pace due to infrastructural and economic challenges. However, ongoing efforts to strengthen healthcare systems and promote digital health innovation are expected to create new opportunities for market growth in these regions.
The Rare Disease Diagnosis AI market by comp
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TwitterSuccess.ai’s Healthcare Marketing Data provides businesses with a robust dataset of verified contact details, operational insights, and decision-maker profiles for healthcare companies worldwide. Covering hospitals, pharmaceutical firms, biotechnology companies, medical equipment manufacturers, and healthcare service providers, this dataset offers unparalleled visibility into the global healthcare industry.
With access to over 170 million verified professional profiles and 30 million company profiles, Success.ai ensures that your outreach, research, and business development initiatives are informed by reliable, continuously updated, and AI-validated data. Backed by our Best Price Guarantee, this solution empowers you to connect with key stakeholders driving healthcare innovation and delivery.
Why Choose Success.ai’s Healthcare Contact Data?
Verified Contact Data for Precision Outreach
Global Coverage Across Healthcare Sectors
Continuously Updated Datasets
Ethical and Compliant
Data Highlights:
Key Features of the Dataset:
Decision-Maker Profiles in Healthcare
Advanced Filters for Precision Targeting
AI-Driven Enrichment
Strategic Use Cases:
Sales and Lead Generation
Market Research and Competitive Analysis
Regulatory Compliance and Risk Mitigation
Recruitment and Talent Acquisition
Why Choose Success.ai?
Best Price Guarantee
Seamless Integration
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TwitterLeverage high-quality B2B data with 468 enriched attributes, covering firmographics, financial stability, and industry classifications. Our AI-optimized dataset ensures accuracy through advanced deduplication and continuous updates. With 30+ years of expertise and 1,100+ trusted sources, we provide fully compliant, structured business data to power lead generation, risk assessment, CRM enrichment, market research, and more.
Key use cases of B2B Data have helped our customers in several areas :
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Context
The dataset tabulates the Yabucoa Municipio 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 Yabucoa Municipio. The dataset can be utilized to understand the population distribution of Yabucoa Municipio by age. For example, using this dataset, we can identify the largest age group in Yabucoa Municipio.
Key observations
The largest age group in Yabucoa Municipio, PR was for the group of age 55-59 years with a population of 2,307 (7.43%), according to the 2021 American Community Survey. At the same time, the smallest age group in Yabucoa Municipio, PR was the 85+ years with a population of 713 (2.30%). Source: U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 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 Yabucoa Municipio Population by Age. You can refer the same here
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License information was derived automatically
Context
The dataset tabulates the Morovis Municipio 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 Morovis Municipio. The dataset can be utilized to understand the population distribution of Morovis Municipio by age. For example, using this dataset, we can identify the largest age group in Morovis Municipio.
Key observations
The largest age group in Morovis Municipio, PR was for the group of age 55-59 years with a population of 2,245 (7.72%), according to the 2021 American Community Survey. At the same time, the smallest age group in Morovis Municipio, PR was the 85+ years with a population of 395 (1.36%). Source: U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 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 Morovis Municipio Population by Age. You can refer the same here
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TwitterSuccess.ai’s Phone Number Data offers direct access to over 50 million verified phone numbers for professionals worldwide, extracted from our expansive collection of 170 million profiles. This robust dataset includes work emails and key decision-maker profiles, making it an essential resource for companies aiming to enhance their communication strategies and outreach efficiency. Whether you're launching targeted marketing campaigns, setting up sales calls, or conducting market research, our phone number data ensures you're connected to the right professionals at the right time.
Why Choose Success.ai’s Phone Number Data?
Direct Communication: Reach out directly to professionals with verified phone numbers and work emails, ensuring your message gets to the right person without delay. Global Coverage: Our data spans across continents, providing phone numbers for professionals in North America, Europe, APAC, and emerging markets. Continuously Updated: We regularly refresh our dataset to maintain accuracy and relevance, reflecting changes like promotions, company moves, or industry shifts. Comprehensive Data Points:
Verified Phone Numbers: Direct lines and mobile numbers of professionals across various industries. Work Emails: Reliable email addresses to complement phone communications. Professional Profiles: Decision-makers’ profiles including job titles, company details, and industry information. Flexible Delivery and Integration: Success.ai offers this dataset in various formats suitable for seamless integration into your CRM or sales platform. Whether you prefer API access for real-time data retrieval or static files for periodic updates, we tailor the delivery to meet your operational needs.
Competitive Pricing with Best Price Guarantee: We provide this essential data at the most competitive prices in the industry, ensuring you receive the best value for your investment. Our best price guarantee means you can trust that you are getting the highest quality data at the lowest possible cost.
Targeted Applications for Phone Number Data:
Sales and Telemarketing: Enhance your telemarketing campaigns by reaching out directly to potential customers, bypassing gatekeepers. Market Research: Conduct surveys and research directly with industry professionals to gather insights that can shape your business strategy. Event Promotion: Invite prospects to webinars, conferences, and seminars directly through personal calls or SMS. Customer Support: Improve customer service by integrating accurate contact information into your support systems. Quality Assurance and Compliance:
Data Accuracy: Our data is verified for accuracy to ensure over 99% deliverability rates. Compliance: Fully compliant with GDPR and other international data protection regulations, allowing you to use the data with confidence globally. Customization and Support:
Tailored Data Solutions: Customize the data according to geographic, industry-specific, or job role filters to match your unique business needs. Dedicated Support: Our team is on hand to assist with data integration, usage, and any questions you may have. Start with Success.ai Today: Engage with Success.ai to leverage our Phone Number Data and connect with global professionals effectively. Schedule a consultation or request a sample through our dedicated client portal and begin transforming your outreach and communication strategies today.
Remember, with Success.ai, you don’t just buy data; you invest in a partnership that grows with your business needs, backed by our commitment to quality and affordability.
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TwitterIn 2024, Google ranked as the most valuable media and entertainment brand worldwide, with a brand value of 683 billion U.S. dollars. Facebook ranked second, valued at around 167 billion dollars. Part of the Tencent Group, WeChat and v.qq.com (Tencent Video) had a brand value of 56 billion and 17.5 billion dollars, respectively.
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TwitterDuring a survey carried out in 2024, 62 percent of responding marketers who were looking to decrease spend on cookie-based activations said they were planning to shirt spending towards social media. Nearly half were planning to invest in first-party data.
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TwitterDuring a January 2024 global survey among marketers, nearly 60 percent reported plans to increase their organic use of YouTube for marketing purposes in the following 12 months. LinkedIn and Instagram followed, respectively mentioned by 57 and 56 percent of the respondents intending to use them more. According to the same survey, Facebook was the most important social media platform for marketers worldwide.
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The public relations (PR) and communications industry has expanded and is expected to swell at a compound annual rate of 4.6% to reach £4.7 billion over the five years through 2024-25. This growth is thanks to companies recognising the importance of maintaining a strong digital presence in the face of evolving media landscapes. Traditional media's shift towards new digital platforms has facilitated more direct interactions with target audiences, enhancing demand for PR services. The sector has consistently demonstrated resilience despite periodic fluctuations influenced by business confidence and government spending levels. The pandemic posed challenges as businesses curtailed PR spending amid dwindling confidence, yet government efforts to circulate vital information during the crisis partially cushioned this impact. As the industry navigates the post-pandemic economic landscape, it confronts both opportunities and hurdles. The evolution and integration of artificial intelligence (AI) is revolutionising productivity, enabling PR firms to allocate more resources towards creative strategies. This technological advancement, coupled with major global events (like the 2024 Paris Olympic games) and increased corporate engagement in socio-political issues, including the Israel-Hamas war, is set to spur demand for PR services. Notably, an expected 5% rise in industry revenue in 2024-25 underscores the sector's promising outlook. The industry's profitability is likely to step up, albeit modestly, constrained by economic uncertainties and the imperative for businesses to preserve profits amid potential client losses. Industry revenue is forecast to soar by 5.3% over the five years through 2029-30, reaching £6 billion. This growth will be underpinned by heightened business activity, augmented government spending and an expanding digital media landscape. Platforms (like websites, blogs and social media) offer fertile ground for expansion, promising to elevate profit alongside revenue. Nonetheless, emerging challenges, including intensifying competition and ethical considerations surrounding AI use, are poised to shape the industry's trajectory. Amid this dynamic environment, PR firms that adeptly navigate these trends while championing ethical and environmentally friendly practices are likely to capture increasing demand for PR services.