Success.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?

• Best Price Guarantee: We offer industry-leading pricing and beat any competitor.
• Global Reach: Access over 28 million verified company profiles across 195 countries.
• Comprehensive Data: Over 15 data points, including company size, industry, funding, and technologies used.
• Accurate & Verified: AI-validated with a 99% accuracy rate, ensuring high-quality data.
• Real-Time Updates: Stay ahead with continuously updated company information.
• Ethically Sourced Data: Our B2B data is compliant with global privacy laws, ensuring responsible use.
• Dedicated Service: Receive personalized, curated data without the hassle of managing platforms.
• Tailored Solutions: Custom datasets are built to fit your unique business needs and industries.

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:

• Targeted Lead Generation: Build accurate lead lists by filtering data by company size, industry, or location. Target decision-makers in key industries to streamline your B2B sales outreach.
• Account-Based Marketing (ABM): Use B2B company data to personalize marketing campaigns, focusing on high-value accounts and improving conversion rates.
• Investment Research: Track company growth, funding rounds, and employee trends to identify investment opportunities or potential M&A targets.
• Market Research: Enrich your market intelligence initiatives by gain...

Success.ai offers a cutting-edge solution for businesses and organizations seeking Company Financial Data on private and public companies. Our comprehensive database is meticulously crafted to provide verified profiles, including contact details for financial decision-makers such as CFOs, financial analysts, corporate treasurers, and other key stakeholders. This robust dataset is continuously updated and validated using AI technology to ensure accuracy and relevance, empowering businesses to make informed decisions and optimize their financial strategies.

Key Features of Success.ai's Company Financial Data:

Global Coverage: Access data from over 70 million businesses worldwide, including public and private companies across all major industries and regions. Our datasets span 250+ countries, offering extensive reach for your financial analysis and market research.

Detailed Financial Profiles: Gain insights into company financials, including revenue, profit margins, funding rounds, and operational costs. Profiles are enriched with key contact details, including work emails, phone numbers, and physical addresses, ensuring direct access to decision-makers.

Industry-Specific Data: Tailored datasets for sectors such as financial services, manufacturing, technology, healthcare, and energy, among others. Each dataset is customized to meet the unique needs of industry professionals and analysts.

Real-Time Accuracy: With continuous updates powered by AI-driven validation, our financial data maintains a 99% accuracy rate, ensuring you have access to the most reliable and up-to-date information available.

Compliance and Security: All data is collected and processed in strict adherence to global compliance standards, including GDPR, ensuring ethical and lawful usage.

Why Choose Success.ai for Company Financial Data?

Best Price Guarantee: We pride ourselves on offering the most competitive pricing in the industry, ensuring you receive unparalleled value for comprehensive financial data.

AI-Validated Accuracy: Our advanced AI algorithms meticulously verify every data point to ensure precision and reliability, helping you avoid costly errors in your financial decision-making.

Customized Data Solutions: Whether you need data for a specific region, industry, or type of business, we tailor our datasets to align perfectly with your requirements.

Scalable Data Access: From small startups to global enterprises, our platform caters to businesses of all sizes, delivering scalable solutions to suit your operational needs.

Comprehensive Use Cases for Financial Data:

1. Strategic Financial Planning:

Leverage our detailed financial profiles to create accurate budgets, forecasts, and strategic plans. Gain insights into competitors’ financial health and market positions to make data-driven decisions.

1. Mergers and Acquisitions (M&A):

Access key financial details and contact information to streamline your M&A processes. Identify potential acquisition targets or partners with verified profiles and financial data.

1. Investment Analysis:

Evaluate the financial performance of public and private companies for informed investment decisions. Use our data to identify growth opportunities and assess risk factors.

1. Lead Generation and Sales:

Enhance your sales outreach by targeting CFOs, financial analysts, and other decision-makers with verified contact details. Utilize accurate email and phone data to increase conversion rates.

1. Market Research:

Understand market trends and financial benchmarks with our industry-specific datasets. Use the data for competitive analysis, benchmarking, and identifying market gaps.

APIs to Power Your Financial Strategies:

Enrichment API: Integrate real-time updates into your systems with our Enrichment API. Keep your financial data accurate and current to drive dynamic decision-making and maintain a competitive edge.

Lead Generation API: Supercharge your lead generation efforts with access to verified contact details for key financial decision-makers. Perfect for personalized outreach and targeted campaigns.

Tailored Solutions for Industry Professionals:

Financial Services Firms: Gain detailed insights into revenue streams, funding rounds, and operational costs for competitor analysis and client acquisition.

Corporate Finance Teams: Enhance decision-making with precise data on industry trends and benchmarks.

Consulting Firms: Deliver informed recommendations to clients with access to detailed financial datasets and key stakeholder profiles.

Investment Firms: Identify potential investment opportunities with verified data on financial performance and market positioning.

What Sets Success.ai Apart?

Extensive Database: Access detailed financial data for 70M+ companies worldwide, including small businesses, startups, and large corporations.

Ethical Practices: Our data collection and processing methods are fully comp...

About this dataset

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.

Content

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

Age groups:

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

Variables / Data Columns

• Age Group: This column displays the age group in consideration
• Population: The population for the specific age group in the Rincon Municipio is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Rincon Municipio 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 Rincon Municipio Population by Age. You can refer the same here

About this dataset

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.

Content

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

Age groups:

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

Variables / Data Columns

• Age Group: This column displays the age group in consideration
• Population: The population for the specific age group in the Cidra Municipio is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Cidra Municipio 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 Cidra Municipio Population by Age. You can refer the same here

With the development of automotive intelligence, vehicle manufacturers and technology companies have engaged in cross-industry cooperative research and development (R&D), leading to new cooperative R&D models. In this context, this paper develops game-theoretic models for four distinct cooperative frameworks: the technology-dominant model, the supplier-cooperation model, the manufacturer-dominant model, and the joint decision-making model. This paper aims to explore the conditions under which different cooperative R&D models are applicable and examines the strategic choices associated with each model. The results indicate that if a company is a core industry player, the core component supplier should select the technology-dominant model, while the vehicle manufacturer should choose the manufacturer-dominant model. If it is not a core player, the joint decision-making model is the next best choice. If the goal of R&D cooperation is achieving a high level of intelligence rather than short-term profits, the manufacturer-dominant model is more suitable. Though price wars may emerge, under the technology-dominant model, the supply chain adopts a quality strategy. Across the other three models, quality strategies remain consistent. As the consumer price sensitivity coefficient increases, the supply chain is more likely to adopt both quality and low-price strategies simultaneously. These findings offer valuable insights for making R&D and pricing strategy decisions under cross-organizational cooperative models in the intelligent vehicle supply chain.

The Top 100 Manufacturers list, based on companies’ financial performance in 2023, identifies key players in the sector and their strategies during recent economic volatility.

Success.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.

About this dataset

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.

Content

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

Age groups:

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

Variables / Data Columns

• Age Group: This column displays the age group in consideration
• Population: The population for the specific age group in the Ceiba Municipio is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Ceiba Municipio 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 Ceiba Municipio Population by Age. You can refer the same here

IBISWorld’s 2023 Top 500 Private Companies of Australia list ranks locally owned, proprietary businesses by revenue every year.

Consumer electronics stores are navigating a complex landscape characterized by evolving consumer behaviors, economic fluctuations and technological advancements. In recent years, consumers have integrated electronics into their daily lives, seeking convenient products that fulfill specific needs. This surge was particularly evident during 2020 and 2021 when e-commerce sales spiked, as consumers grew comfortable purchasing high-value electronics online. However, sales remain susceptible to economic fluctuations, as evidenced by the sharp revenue loss when discretionary spending plummeted. The industry's revenue will reach $172.2 billion in 2025, buoyed by a modest 1.7% growth rate. As retailers continue to adapt, they must grapple with macroeconomic challenges and the imperative to stay competitive in an increasingly digital marketplace. Over the past five years, the consumer electronics stores industry has experienced a modest growth trajectory at a CAGR of 2.5%. The rapid gains in consumer confidence, driven by near-zero interest rates and accelerating housing starts, temporarily boosted sales. As consumers outfitted new homes with appliances, industry revenue rallied, yet this recovery wasn't without its challenges. Interest rate hikes in 2022 and 2023 put pressure on the residential construction sector, dampening demand for new electronics tied to housing. Intensified competition from large-format and online retailers like Walmart and Amazon, coupled with supply chain disruptions and inflation, put smaller specialized stores at a disadvantage. Despite these hurdles, shifting consumer preferences towards digital media and podcasts have spurred demand for specific categories like cameras and audio equipment, partially offsetting declines in other areas. Looking ahead, the industry faces a more tempered growth trajectory. With revenue growth at a slower CAGR of 1.7%, reaching $187.1 billion in 2030, consumer electronics stores will confront various challenges. Ongoing trade tensions, fueled by tariffs on Chinese goods and potential tariffs on Canadian and Mexican imports, heighten economic uncertainty and can inflate operational costs. As consumers become more price-sensitive amid these pressures, retailers must prioritize competitive pricing strategies and expansive online platforms to remain viable. Also, new technological developments and SaaS's rise pose threats to traditional retail models. To thrive over the next five years, the industry must embrace innovation, streamline supply chains and capitalize on emerging consumer trends, ensuring they cater to essential electronics needs and discretionary demands driven by lifestyle aspirations.

The global rose essential oil extract market is experiencing robust growth, driven by increasing demand across diverse applications. While the exact market size for 2025 isn't provided, considering a plausible CAGR of 5% (a conservative estimate given the popularity of natural ingredients in various industries) and assuming a 2019 market size of $500 million (a reasonable approximation based on the scale of related markets), the market size in 2025 would be approximately $638 million. This growth trajectory is projected to continue, with the market expected to reach approximately $810 million by 2033. Key drivers include the burgeoning popularity of natural cosmetics and skincare products, the rising demand for aromatherapy products, and the increasing use of rose essential oil in pharmaceuticals and dietary supplements. The market is segmented by type (oil and powder) and application (research uses, drug formulation, dietary foods, cosmetics, and others), each segment contributing to the overall market expansion. Though the provided data doesn't detail specific restraints, potential challenges could include fluctuating raw material prices, seasonal variations in rose production, and the emergence of synthetic alternatives. The geographical distribution of the market is broad, with North America, Europe, and Asia Pacific representing significant market shares. The presence of key players like GOYUM SCREW PRESS (India), VIETGO COMPANY LIMITED (Vietnam), and several other companies from various regions (including the US, Turkey, China, and Thailand) underscores the global nature of the industry. Competitive intensity is moderate, with companies focusing on product differentiation, supply chain optimization, and expansion into new markets to capture a larger share. The forecast period of 2025-2033 presents significant opportunities for growth, particularly in emerging economies where the demand for natural and organic products is rapidly escalating. Further research into specific regional growth rates and market segmentation would provide a more granular understanding of the market dynamics. This comprehensive report analyzes the global Rose Essential Oil Extract market, projected to reach $2.5 billion by 2030. It delves into market dynamics, key players, and future growth opportunities, providing invaluable insights for businesses and investors in the burgeoning natural ingredients sector.

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.

Coffee is one of the drinks that are consumed worldwide. The global coffee beans industry is currently facing several challenges, including The COVID19 pandemic’s long-term effects on their supply chains (SCs), adverse weather conditions affecting major coffee-producing regions, escalating price dynamics, and the increased in transportation costs. Jordan significantly relies on coffee imports, a critical agricultural product that constitutes an important part of local trade. Due to the lack of previous studies, the research aims to evaluate the current SC and improve Jordan’s coffee SC performance by reducing lead time and shipping cost. The research first uses the combined Fuzzy Analytic Hierarchy Process (FAHP) and The Fuzzy Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method to rank the supplier and choose the best suppliers based on established criteria. Then, the research proposes an analysis with the goal of enhancing the efficiency of Jordan’s coffee SC by applying Discrete Event Simulation (DES). Real company data is utilized to study, apply and evaluate the methodology used. The decision-making process employ decision makers and expert opinion input, providing a comprehensive and balanced evaluation of suppliers. Different scenarios are evaluated and compared based on the integrations of the FMCDM results in the simulation model. The findings identify the best and least favorable suppliers, highlighting Ethiopia’s leadership in several indicators. The outcomes suggest reducing lead time and shipping costs, investing in technology, and establishing a culture of continuous improvement to improve efficiency, stability, and adapt to market conditions. The research provides a comprehensive analysis of the current state of the coffee SC and suggests opportunities for development. Finally, recommendations to improve the current coffee SC in Jordan and directions for future research are discussed.

In 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.

During 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.

About this dataset

Context

The dataset tabulates the Dorado 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 Dorado Municipio. The dataset can be utilized to understand the population distribution of Dorado Municipio by age. For example, using this dataset, we can identify the largest age group in Dorado Municipio.

Key observations

The largest age group in Dorado Municipio, PR was for the group of age 40-44 years with a population of 3,011 (8.36%), according to the 2021 American Community Survey. At the same time, the smallest age group in Dorado Municipio, PR was the 85+ years with a population of 617 (1.71%). Source: U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Content

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

Age groups:

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

Variables / Data Columns

• Age Group: This column displays the age group in consideration
• Population: The population for the specific age group in the Dorado Municipio is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Dorado Municipio 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 Dorado Municipio Population by Age. You can refer the same here

Distribution functions that characterizes each kind of data for each supplier.

Oil price uncertainty and investment efficiency regression test results.

Success.ai’s Private Company Data API offers businesses, investors, and analysts unparalleled access to detailed insights on over 70 million private companies worldwide. By delivering continuously updated, AI-validated firmographic data, this API helps you uncover hidden opportunities, perform thorough due diligence, and stay ahead of the competition.

Whether you’re evaluating potential partners, analyzing new markets, or refining investment strategies, Success.ai’s Private Company Data API provides the accuracy and reliability you need. Backed by our Best Price Guarantee, this solution ensures you can confidently make data-driven decisions and gain a competitive edge in a complex global marketplace.

Why Choose Success.ai’s Private Company Data API?

1. Comprehensive Global Coverage

   • Access profiles for private firms across North America, Europe, Asia-Pacific, and emerging markets.
   • Identify growth opportunities, niche segments, and innovative startups with confidence.

2. AI-Validated Accuracy

   • Benefit from 99% accuracy through AI-driven validation, reducing errors and enhancing your decision-making.
   • Trust that your data is always current, minimizing the risk of outdated or irrelevant information.

3. Continuous Data Updates

   • Real-time updates ensure you always work with the latest company information, including ownership changes, funding rounds, and revenue shifts.
   • Adapt swiftly to evolving market conditions, product launches, or M&A activities.

4. Ethical and Compliant

   • Fully adheres to GDPR, CCPA, and other global privacy standards, ensuring your data usage remains responsible and lawful.

Data Highlights:

• 70M+ Verified Company Profiles: Gain deep insights into private firms of all sizes and industries worldwide.
• Detailed Firmographics: Understand company sizes, revenue ranges, employee counts, and operational footprints.
• Continuously Updated: Keep tabs on emerging players, newly funded startups, and evolving business models.
• Best Price Guarantee: Secure maximum ROI by accessing top-tier private company data at the most competitive rates.

Key Features of the Private Company Data API:

1. Instant Data Enrichment

   • Enhance CRM systems, analytics platforms, or investment tools with verified private company data.
   • Eliminate manual research and ensure your team always operates with the latest intelligence.

2. Advanced Filtering and Query Capabilities

   • Query the API to refine searches by industry, revenue size, geographic location, or employee count.
   • Focus on high-potential targets aligned with your strategic goals or investment criteria.

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About this dataset

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.

Content

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

Age groups:

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

Variables / Data Columns

• Age Group: This column displays the age group in consideration
• Population: The population for the specific age group in the Yabucoa Municipio is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Yabucoa Municipio 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 Yabucoa Municipio Population by Age. You can refer the same here