About this dataset

Context

The dataset tabulates the Hawaii population by year. The dataset can be utilized to understand the population trend of Hawaii.

Content

The dataset constitues the following datasets

• Hawaii Population Dataset: Yearly Figures, Population Change, and Percent Change Analysis

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/.

ABOUT

The Global Population Growth Dataset provides a comprehensive record of population trends across various countries over multiple decades. It includes detailed information such as the country name, ISO3 country code, year-wise population data, population growth, and growth rate. This dataset is valuable for researchers, demographers, policymakers, and data analysts interested in studying population dynamics, demographic trends, and economic development.

Key features of the dataset:

✅ Covers multiple countries and regions worldwide
✅ Includes historical and recent population data
✅ Provides year-wise population growth and growth rate (%)
✅ Categorizes data by country and decade for better trend analysis

This dataset serves as a crucial resource for analyzing global population trends, understanding demographic shifts, and supporting socio-economic research and policy-making.

FILE INFORMATION

The dataset consists of structured records related to country-wise population data, compiled from official sources. Each file contains information on yearly population figures, growth trends, and country-specific data. The structured format makes it useful for researchers, economists, and data scientists studying demographic patterns and changes. The file type is CSV.

COLUMNS DESCRIPTION

• Country – The name of the country.
• ISO3 – The three-letter ISO code of the country.
• Year – The year corresponding to the population data, useful for trend analysis.
• Population – The total population of the country for the given year.
• Population Growth – The absolute increase in population compared to the previous year.
• Growth Rate (%) – The percentage change in population compared to the previous year.
• Decade – The decade classification (e.g., 1990s, 2000s) for grouping long-term trends.

The annual population growth in the United States increased by 0.1 percentage points (+27.03 percent) in 2023. In total, the population growth amounted to 0.49 percent in 2023. Population growth deals with the annual change in total population, and is affected by factors such as fertility, mortality, and migration.Find more key insights for the annual population growth in countries like Mexico and Canada.

About this dataset

Context

The dataset tabulates the Michigan population by year. The dataset can be utilized to understand the population trend of Michigan.

Content

The dataset constitues the following datasets

• Michigan Population Dataset: Yearly Figures, Population Change, and Percent Change Analysis

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/.

About this dataset

Context

The dataset tabulates the Montana population by year. The dataset can be utilized to understand the population trend of Montana.

Content

The dataset constitues the following datasets

• Montana Population Dataset: Yearly Figures, Population Change, and Percent Change Analysis

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/.

Data from the Crime Survey for England and Wales (CSEW) showing breakdowns of victimisation over time and by various demographic characteristics.

This data collection includes revised estimates of the population of the 3,141 counties in the United States as defined in the 1990 Census. Data are grouped by five-year age category (ages 0-4, 5-9, etc.), sex, and modified race (White, Black, other) for each year from 1980 to 1989, beginning with July 1, 1980. The revised estimates were developed by interpolating from modified Decennial Census files for both 1980 and 1990.

About this dataset

Context

The dataset tabulates the Springfield population by year. The dataset can be utilized to understand the population trend of Springfield.

Content

The dataset constitues the following datasets

• Springfield, OH Population Dataset: Yearly Figures, Population Change, and Percent Change Analysis

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/.

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Population Health Management Market Size and Forecast 2025-2029

The population health management market size estimates the market to reach by USD 19.40 billion, at a CAGR of 10.7% between 2024 and 2029.North America is expected to account for 68% of the growth contribution to the global market during this period. In 2019 the software segment was valued at USD 16.04 billion and has demonstrated steady growth since then.

    Report Coverage


    Details




    Base year


    2024




    Historic period

    2019-2023



    Forecast period


    2025-2029



    Market structure
    Fragmented



    Market growth 2025-2029


    USD 19.40 billion

The market is experiencing significant growth, driven by the increasing adoption of healthcare IT and the rising focus on personalized medicine. Healthcare providers are recognizing the value of population health management platforms in improving patient outcomes and reducing costs. The implementation of these systems enables proactive care management, disease prevention, and population health analysis. However, the market faces challenges as well. The cost of installing population health management platforms can be a significant barrier for smaller healthcare organizations. Additionally, ensuring data security and interoperability across various systems remains a major concern. Effective data management and integration are essential for population health management to deliver its full potential. Companies seeking to capitalize on market opportunities must address these challenges and provide cost-effective, secure, and interoperable solutions. By focusing on these areas, they can help healthcare providers optimize their population health management initiatives and improve patient care.

What will be the Size of the Population Health Management Market during the forecast period?

Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report.
Request Free SampleThe market continues to evolve, driven by advancements in technology and a growing focus on value-based care. Risk adjustment models, which help account for the variability in health risks among patient populations, are increasingly being adopted to improve care coordination and health outcome measures. For instance, a leading healthcare organization implemented risk stratification models, resulting in a 20% reduction in hospital readmissions. Remote patient monitoring, public health surveillance, and disease outbreak response are crucial applications of population health management. These technologies enable real-time health data collection, allowing for early intervention and improved health equity initiatives. Chronic disease management, a significant focus area, benefits from electronic health records, care coordination models, and health information exchange. Value-based care programs, predictive modeling healthcare, and telehealth platforms are transforming the landscape of healthcare delivery. Healthcare data analytics, interoperability standards, and population health dashboards facilitate data-driven decision-making, enhancing health intervention efficacy. Behavioral health integration and preventive health services are gaining prominence, with health literacy programs and clinical decision support tools supporting personalized medicine strategies. The market is expected to grow at a robust rate, with industry growth estimates reaching 15% annually. This growth is fueled by the ongoing need for healthcare cost reduction, quality improvement initiatives, and the integration of technology into healthcare delivery.

How is this Population Health Management Industry segmented?

The population health management industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments. ComponentSoftwareServicesEnd-userLarge enterprisesSMEsDelivery ModeOn-PremiseCloud-BasedWeb-BasedOn-PremiseCloud-BasedEnd-UseProvidersPayersEmployer GroupsGovernment BodiesProvidersPayersEmployer GroupsGeographyNorth AmericaUSCanadaEuropeFranceGermanyItalyUKAPACChinaIndiaJapanSouth KoreaRest of World (ROW)

By Component Insights

The software segment is estimated to witness significant growth during the forecast period.The market's software segment is experiencing significant growth and innovation, driven by various components that enhance healthcare organizations' capacity to manage and enhance the health outcomes of diverse populations. This segment includes solutions for risk adjustment models, remote patient monitoring, health outcome measures, disease outbreak response, health eq

This dataset tracks the updates made on the dataset "Archive: COVID-19 Vaccination Demographic Trends by Report Date, National" as a repository for previous versions of the data and metadata.

Clothing Retail Market Outlook

The global clothing retail market size is projected to grow from $1.5 trillion in 2023 to reach approximately $2.3 trillion by 2032, exhibiting a compound annual growth rate (CAGR) of 4.8%. This growth is driven by several factors, including the rising disposable income, increasing fashion consciousness among consumers, and the rapid expansion of e-commerce platforms. The market size growth is a testament to the robust demand for apparel across various demographics and regions, with the market adapting to ever-changing consumer preferences and technological advancements.

One of the significant growth factors for the clothing retail market is the increasing disposable income among consumers, especially in emerging economies. As disposable income rises, consumers are more likely to spend on non-essential items, including fashionable clothing. This trend is further augmented by urbanization, where city dwellers have better access to retail outlets and are more exposed to fashion trends. Moreover, the growing middle class in countries like China and India has significantly boosted the demand for clothing, thereby contributing to the market's overall growth.

Another critical factor contributing to the market's growth is the increasing awareness and adoption of sustainable and ethical fashion. Consumers today are more conscientious about the environmental impact of their purchases and prefer brands that prioritize sustainability. This shift has prompted many retailers to adopt eco-friendly practices, such as using organic materials and ensuring fair labor practices. These initiatives not only attract environmentally conscious consumers but also help in building a brand's reputation, thereby driving sales and market growth.

The rapid expansion of e-commerce has also played a pivotal role in the growth of the clothing retail market. Online shopping offers convenience, a wider variety of choices, and competitive pricing, making it an attractive option for consumers. The integration of advanced technologies like artificial intelligence and augmented reality in online platforms has enhanced the shopping experience, allowing consumers to virtually try on clothes before making a purchase. This has significantly increased online sales, contributing to the overall growth of the clothing retail market.

The concept of Genderless Clothing is gaining traction in the clothing retail market, reflecting a shift in consumer attitudes towards more inclusive and diverse fashion choices. This trend is driven by a growing awareness and acceptance of gender fluidity, with consumers increasingly seeking clothing that transcends traditional gender norms. Retailers are responding by offering collections that are not confined to specific gender categories, allowing for greater freedom of expression. This movement towards gender-neutral fashion is not only appealing to younger, progressive consumers but also aligns with the broader trend of personalization and individuality in fashion. As a result, genderless clothing is becoming an integral part of the market's evolution, contributing to its growth and diversification.

Regionally, the Asia Pacific is expected to dominate the clothing retail market, driven by the growing middle-class population, increasing urbanization, and rising disposable incomes. North America and Europe are also significant players, with a well-established retail infrastructure and high consumer spending on fashion. However, regions like Latin America and the Middle East & Africa are also showing potential for growth, driven by improving economic conditions and a growing young population interested in fashion trends.

Product Type Analysis

The clothing retail market is segmented by product type into men's wear, women's wear, children's wear, sportswear, and others. Men's wear continues to be a substantial segment owing to the steady demand for formal and casual clothing. The rising trend of corporate culture and the increasing number of working professionals drive the demand for formal attire. Additionally, the casual wear segment for men is witnessing growth due to changing lifestyle trends and increased spending on leisure and sports activities.

Women's wear is another significant segment within the clothing retail market. This segment has traditionally dominated the market due to the wide variety of options and frequently changing fashi

This data dictionary provides information about archived demographic trend data for people receiving COVID-19 vaccinations in the United States at the national level. Data represents all vaccine partners including jurisdictional partner clinics, retail pharmacies, long-term care facilities, dialysis centers, Federal Emergency Management Agency and Health Resources and Services Administration partner sites, and federal entity facilities.

These data have been archived to provide historical demographic trend data for COVID-19 vaccine recipients prior to CDC converting the Vaccination Demographic Trends site to using data based on the date of vaccine administration. Previously, the Vaccination Demographic Trends site presented trend data by the date the vaccination was reported to CDC.

People have called Alaska home for at least the last 14,000 years. The data in this app reflects on the period in time only since 1880, when the United States began collecting population data. Census data is collected every 10 years. The data available from 2011 to the present represent the DCCED Certified Population counts for those years, which the State of Alaska recommend as the authoritative population count.A data value of zero for a particular year or decade can mean that no data is available, not that there was no one living there at the time. Occasionally, changes in census tract boundaries also result in what appears to be jumps in population size for a community. To see these changes, examine the layers under the 'Census Population Count' group in the Layer List.

This study investigated demographic trends over time in the use of prescription opioids versus heroin among addicted individuals. ICD9 codes associated with hospitalizations for overdoses from either prescription opioids (POD) or heroin (HOD) were harvested from the Nationwide Inpatient Sample (NIS) for the years 1993 through 2009, inclusive. Population data were taken from U.S. Census statistics. Demographic specific rates of POD and HOD hospital admissions were analyzed to determine if fluctuations in the dynamics of one form of opiate, such as supply-based reduction, are correlated with changes in the rates of overdoses of the other. Dataset includes statistical and demographic data.

About this dataset

Context

The dataset tabulates the China town population by year. The dataset can be utilized to understand the population trend of China town.

Content

The dataset constitues the following datasets

• China, Maine Population Dataset: Yearly Figures, Population Change, and Percent Change Analysis

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/.

About this dataset

Context

The dataset tabulates the Brownwood population by year. The dataset can be utilized to understand the population trend of Brownwood.

Content

The dataset constitues the following datasets

• Brownwood, TX Population Dataset: Yearly Figures, Population Change, and Percent Change Analysis

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/.

About this dataset

Context

The dataset tabulates the Monticello population by year. The dataset can be utilized to understand the population trend of Monticello.

Content

The dataset constitues the following datasets

• Monticello, NY Population Dataset: Yearly Figures, Population Change, and Percent Change Analysis

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/.

About this dataset

Context

The dataset tabulates the Buffalo population by year. The dataset can be utilized to understand the population trend of Buffalo.

Content

The dataset constitues the following datasets

• Buffalo, NY Population Dataset: Yearly Figures, Population Change, and Percent Change Analysis

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/.