100+ datasets found
  1. World Population Analysis

    • kaggle.com
    zip
    Updated Oct 5, 2023
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    Manas Parashar (2023). World Population Analysis [Dataset]. https://www.kaggle.com/datasets/parasharmanas/world-population-analysis
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    zip(8635 bytes)Available download formats
    Dataset updated
    Oct 5, 2023
    Authors
    Manas Parashar
    License

    Open Database License (ODbL) v1.0https://www.opendatacommons.org/licenses/odbl/1.0/
    License information was derived automatically

    Area covered
    World
    Description

    The analysis of the world's population is a complex and multifaceted endeavor, encompassing a wide range of demographic, economic, social, and environmental factors. Understanding these trends and dynamics is crucial for policymakers, researchers, and organizations to make informed decisions and plan for the future. This article delves into a comprehensive analysis of the world's population, examining its growth patterns, demographic shifts, challenges, and opportunities.

    Population Growth. The world's population has experienced remarkable growth over the past century. In 1927, the global population reached its first billion, and since then, it has surged exponentially. As of the latest available data in 2021, the world's population stands at approximately 7.8 billion. Projections indicate that this figure will continue to rise, with estimates suggesting a population of over 9 billion by 2050.

    Factors Driving Population Growth. 1. Fertility Rates: High birth rates, particularly in developing countries, have been a significant driver of population growth. Access to healthcare, education, and family planning services plays a crucial role in reducing fertility rates. 2. Increased Life Expectancy: Improvements in healthcare, nutrition, and sanitation have led to longer life expectancy worldwide. This has contributed to population growth, as people are living longer and healthier lives. 3. Demographic Shifts: Demographic shifts are shaping our world in significant ways. In developed countries, an aging population with a higher median age is reshaping healthcare systems, retirement policies, and workforce dynamics. Simultaneously, urbanization is accelerating, with over half of the global population now living in cities, presenting challenges and opportunities for infrastructure, resource management, and social development.

    Challenges. 1. Overpopulation: Rapid population growth in certain regions can strain resources, leading to issues such as food scarcity, water shortages, and overcrowding. 2. Aging Workforce: As the global population ages, there may be a shortage of skilled workers, affecting economic productivity and social support systems. 3. Environmental Impact: Population growth is closely linked to increased resource consumption and environmental degradation. Sustainable development and conservation efforts are essential to mitigate these effects.

    Opportunities. 1. Demographic Dividend: Countries with youthful populations can benefit from a demographic dividend, where a large working-age population can drive economic growth and innovation. 2. Cultural Diversity: A diverse global population can lead to cultural exchange, creativity, and a richer societal tapestry. 3. Innovation and Technology: Addressing the challenges posed by population growth can drive innovation in areas such as healthcare, agriculture, and energy production.

    Analysing the world's population is a complex task that involves understanding its growth patterns, demographic shifts, challenges, and opportunities. As the global population continues to rise, it is essential to address the associated challenges while harnessing the potential benefits of a diverse and dynamic world population. Policymakers, researchers, and organizations must work collaboratively to create sustainable solutions that ensure a prosperous future for all.

  2. Global population 1800-2100, by continent

    • statista.com
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    Statista, Global population 1800-2100, by continent [Dataset]. https://www.statista.com/statistics/997040/world-population-by-continent-1950-2020/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    World
    Description

    The world's population first reached one billion people in 1805, and reached eight billion in 2022, and will peak at almost 10.2 billion by the end of the century. Although it took thousands of years to reach one billion people, it did so at the beginning of a phenomenon known as the demographic transition; from this point onwards, population growth has skyrocketed, and since the 1960s the population has increased by one billion people every 12 to 15 years. The demographic transition sees a sharp drop in mortality due to factors such as vaccination, sanitation, and improved food supply; the population boom that follows is due to increased survival rates among children and higher life expectancy among the general population; and fertility then drops in response to this population growth. Regional differences The demographic transition is a global phenomenon, but it has taken place at different times across the world. The industrialized countries of Europe and North America were the first to go through this process, followed by some states in the Western Pacific. Latin America's population then began growing at the turn of the 20th century, but the most significant period of global population growth occurred as Asia progressed in the late-1900s. As of the early 21st century, almost two-thirds of the world's population lives in Asia, although this is set to change significantly in the coming decades. Future growth The growth of Africa's population, particularly in Sub-Saharan Africa, will have the largest impact on global demographics in this century. From 2000 to 2100, it is expected that Africa's population will have increased by a factor of almost five. It overtook Europe in size in the late 1990s, and overtook the Americas a few years later. In contrast to Africa, Europe's population is now in decline, as birth rates are consistently below death rates in many countries, especially in the south and east, resulting in natural population decline. Similarly, the population of the Americas and Asia are expected to go into decline in the second half of this century, and only Oceania's population will still be growing alongside Africa. By 2100, the world's population will have over three billion more than today, with the vast majority of this concentrated in Africa. Demographers predict that climate change is exacerbating many of the challenges that currently hinder progress in Africa, such as political and food instability; if Africa's transition is prolonged, then it may result in further population growth that would place a strain on the region's resources, however, curbing this growth earlier would alleviate some of the pressure created by climate change.

  3. k

    Data from: Lower Labor Force Participation Rates and Slower Population...

    • kansascityfed.org
    pdf
    Updated Mar 30, 2022
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    (2022). Lower Labor Force Participation Rates and Slower Population Growth Pose Challenges for Employers [Dataset]. https://www.kansascityfed.org/research/economic-bulletin/lower-labor-force-participation-rates-and-slower-population-growth-pose-challenges-for-employers/
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    pdfAvailable download formats
    Dataset updated
    Mar 30, 2022
    Description

    As the nation recovers from the pandemic-induced recession, finding workers to fill job openings has been a headwind for many regions and industries. Although many researchers have pointed to the sharp decline in labor force participation rates as an explanation, the role of population growth over time has received less attention. We examine state and national trends in these measures and show that slower population growth and an aging population may put downward pressure on labor force growth for some time.

  4. e

    Population by limitations of everyday activities due to health problems,...

    • data.europa.eu
    px, csv, txt, xlsx
    Updated Feb 11, 2025
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    Statistikaamet (2025). Population by limitations of everyday activities due to health problems, sex, age group, main source of subsistence and place of residence, 31 december 2011 [Dataset]. https://data.europa.eu/data/datasets/oai-avaandmed-eesti-ee-1de39708-6f6f-4082-9bb8-c9b8c818580a?locale=en
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    px, csv, txt, xlsxAvailable download formats
    Dataset updated
    Feb 11, 2025
    Dataset authored and provided by
    Statistikaamet
    Description

    Population by limitations of everyday activities due to health problems, sex, age group, main source of subsistence and place of residence, 31 december 2011.

  5. C

    Unbanked Population Statistics 2025: Demographics, Challenges, and Progress

    • cryptogameseurope.com
    Updated Jun 16, 2025
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    CoinLaw (2025). Unbanked Population Statistics 2025: Demographics, Challenges, and Progress [Dataset]. http://www.cryptogameseurope.com/index-478.html
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    Dataset updated
    Jun 16, 2025
    Dataset authored and provided by
    CoinLaw
    License

    https://coinlaw.io/privacy-policy/https://coinlaw.io/privacy-policy/

    Time period covered
    Jan 1, 2024 - Dec 31, 2025
    Area covered
    Global
    Description

    In 2025, a significant segment of the global population remains unbanked, lacking access to basic financial services like savings accounts, credit, and online banking. Imagine living in a world where cash is the only option, no credit cards, no online payments, and no financial safety net. For over a billion...

  6. Problems using a website or application of public administration agencies or...

    • ine.es
    csv, html, json +4
    Updated Apr 11, 2025
    + more versions
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    INE - Instituto Nacional de Estadística (2025). Problems using a website or application of public administration agencies or public services, for private reasons, in the last 12 months, by demographic characteristics. [Dataset]. https://www.ine.es/jaxi/Tabla.htm?tpx=55083&L=1
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    csv, txt, xls, json, text/pc-axis, html, xlsxAvailable download formats
    Dataset updated
    Apr 11, 2025
    Dataset provided by
    National Statistics Institutehttp://www.ine.es/
    Authors
    INE - Instituto Nacional de Estadística
    License

    https://www.ine.es/aviso_legalhttps://www.ine.es/aviso_legal

    Variables measured
    Population class, Encountered problems, Demographic characteristics
    Description

    Problems using a website or application of public administration agencies or public services, for private reasons, in the last 12 months, by demographic characteristics. National.

  7. Data from: THE SOCIETY’S PERCEPTION OF THE LIFE QUALITY AND POPULATION...

    • scielo.figshare.com
    jpeg
    Updated Jun 1, 2023
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    Flavio Fernando Batista Moutinho; Elmiro Rosendo do Nascimento; Rita Leal Paixão (2023). THE SOCIETY’S PERCEPTION OF THE LIFE QUALITY AND POPULATION CONTROL OF STRAY DOGS [Dataset]. http://doi.org/10.6084/m9.figshare.7512821.v1
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    jpegAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    SciELOhttp://www.scielo.org/
    Authors
    Flavio Fernando Batista Moutinho; Elmiro Rosendo do Nascimento; Rita Leal Paixão
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Abstract In most Brazilian municipalities there is an overpopulation of stray dogs, which causes problems to the urban order, the environment and the public health, in addition to mistreatment to these dogs. In such context we foresee the need of developing actions targeting the population control of these animals. This essay aims at knowing the perception of social actors, such as managers of entities responsible for control actions, managers of NGOs working with animal protection and population in general with respect to the life quality and population control of stray dogs. Questionnaires were used on samples of individuals of these three groups and the data thereof were analyzed with descriptive statistics techniques and frequency comparison. The results allowed us to conclude that the society’s perception of population control and life quality of these animals bear important differences under the viewpoint of the three evaluated groups; however, they also bear significant similarities, especially with respect to the perception of the responsibility for the development of population control actions, the acceptance of using public funds intended to public health in control actions, the classification of such population density as large and the poor life quality of these animals.

  8. Total population of India 2030

    • statista.com
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    Statista, Total population of India 2030 [Dataset]. https://www.statista.com/statistics/263766/total-population-of-india/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    India
    Description

    The statistic shows the total population of India from 2020 to 2030. In 2024, the estimated total population in India amounted to approximately 1.44 billion people. Total population in India India currently has the second-largest population in the world and is projected to overtake top-ranking China within forty years. Its residents comprise more than one-seventh of the entire world’s population, and despite a slowly decreasing fertility rate (which still exceeds the replacement rate and keeps the median age of the population relatively low), an increasing life expectancy adds to an expanding population. In comparison with other countries whose populations are decreasing, such as Japan, India has a relatively small share of aged population, which indicates the probability of lower death rates and higher retention of the existing population. With a land mass of less than half that of the United States and a population almost four times greater, India has recognized potential problems of its growing population. Government attempts to implement family planning programs have achieved varying degrees of success. Initiatives such as sterilization programs in the 1970s have been blamed for creating general antipathy to family planning, but the combined efforts of various family planning and contraception programs have helped halve fertility rates since the 1960s. The population growth rate has correspondingly shrunk as well, but has not yet reached less than one percent growth per year. As home to thousands of ethnic groups, hundreds of languages, and numerous religions, a cohesive and broadly-supported effort to reduce population growth is difficult to create. Despite that, India is one country to watch in coming years. It is also a growing economic power; among other measures, its GDP per capita was expected to triple between 2003 and 2013 and was listed as the third-ranked country for its share of the global gross domestic product.

  9. Population Health Management Market Analysis, Size, and Forecast 2025-2029:...

    • technavio.com
    pdf
    Updated Dec 24, 2024
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    Technavio (2024). Population Health Management Market Analysis, Size, and Forecast 2025-2029: North America (US and Canada), Europe (France, Germany, Italy, UK), Asia (China, India, Japan, South Korea), and Rest of World (ROW) [Dataset]. https://www.technavio.com/report/population-health-management-market-industry-analysis
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    pdfAvailable download formats
    Dataset updated
    Dec 24, 2024
    Dataset provided by
    TechNavio
    Authors
    Technavio
    License

    https://www.technavio.com/content/privacy-noticehttps://www.technavio.com/content/privacy-notice

    Time period covered
    2025 - 2029
    Area covered
    Canada, United States
    Description

    Snapshot img

    Population Health Management Market Size 2025-2029

    The population health management market size is valued to increase USD 19.40 billion, at a CAGR of 10.7% from 2024 to 2029. Rising adoption of healthcare IT will drive the population health management market.

    Major Market Trends & Insights

    North America dominated the market and accounted for a 68% growth during the forecast period.
    By Component - Software segment was valued at USD 16.04 billion in 2023
    By End-user - Large enterprises segment accounted for the largest market revenue share in 2023
    

    Market Size & Forecast

    Market Opportunities: USD 113.32 billion
    Market Future Opportunities: USD 19.40 billion
    CAGR : 10.7%
    North America: Largest market in 2023
    

    Market Summary

    The market encompasses a continually evolving landscape of core technologies and applications, service types, and regulatory frameworks. With the rising adoption of healthcare IT solutions, population health management platforms are increasingly being adopted to improve patient outcomes and reduce costs. According to a recent study, The market is expected to witness a significant growth, with over 30% of healthcare organizations implementing these solutions by 2025. The focus on personalized medicine and the need to manage the rising cost of healthcare are major drivers for this trend. Core technologies such as data analytics, machine learning, and telehealth are transforming the way healthcare providers manage patient populations.
    Despite these opportunities, challenges such as data privacy concerns, interoperability issues, and the high cost of implementation persist. The market is further shaped by regional differences in regulatory frameworks and healthcare infrastructure. For instance, in North America, the Affordable Care Act has fueled the adoption of population health management solutions, while in Europe, the European Medicines Agency's focus on personalized medicine is driving demand.
    

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

    Get Key Insights on Market Forecast (PDF) Request Free Sample

    How is the Population Health Management Market Segmented and what are the key trends of market segmentation?

    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.

    Component
    
      Software
      Services
    
    
    End-user
    
      Large enterprises
      SMEs
    
    
    Delivery Mode
    
      On-Premise
      Cloud-Based
      Web-Based
      On-Premise
      Cloud-Based
    
    
    End-Use
    
      Providers
      Payers
      Employer Groups
      Government Bodies
      Providers
      Payers
      Employer Groups
    
    
    Geography
    
      North America
    
        US
        Canada
    
    
      Europe
    
        France
        Germany
        Italy
        UK
    
    
      APAC
    
        China
        India
        Japan
        South Korea
    
    
      Rest of World (ROW)
    

    By Component Insights

    The software segment is estimated to witness significant growth during the forecast period.

    The market is experiencing significant growth, with the software segment playing a crucial role in this expansion. Currently, remote patient monitoring solutions are witnessing a 25% adoption rate, enabling healthcare providers to monitor patients' health in real-time and intervene promptly when necessary. Additionally, predictive modeling and risk stratification models are being utilized to identify high-risk patients and provide personalized care plans, contributing to a 21% increase in disease management efficiency. Furthermore, the integration of electronic health records, wellness programs, care coordination platforms, and value-based care models is fostering a data-driven approach to healthcare, leading to a 19% reduction in healthcare costs.

    Health equity initiatives and healthcare data analytics are essential components of population health management, ensuring equitable access to care and improving healthcare quality metrics. Looking ahead, the market is expected to grow further, with utilization management and care management programs seeing a 27% increase in implementation. Preventive health programs and clinical decision support systems are also anticipated to experience a 24% surge in adoption, emphasizing the importance of proactive care and early intervention. Moreover, population health strategies are evolving to incorporate behavioral health integration, interoperability standards, and disease registry data to provide comprehensive care. The use of disease prevalence data and public health surveillance is becoming increasingly crucial in addressing population health challenges and improving overall health outcomes.

    Request Free Sample

    The Software segment was valued at USD 16.04 billion in 2019 and showed a gradual increase during the forecast period.

    In conclusion, the market is

  10. t

    Population by type of longstanding health problem, sex and age

    • service.tib.eu
    Updated Jan 8, 2025
    + more versions
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    (2025). Population by type of longstanding health problem, sex and age [Dataset]. https://service.tib.eu/ldmservice/dataset/eurostat_dcnc4q1zwjawox1gcog5tw
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    Dataset updated
    Jan 8, 2025
    Description

    Population by type of longstanding health problem, sex and age

  11. Population suffering from contamination problems and other environmental...

    • ine.es
    csv, html, json +4
    Updated Oct 31, 2025
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    INE - Instituto Nacional de Estadística (2025). Population suffering from contamination problems and other environmental problems by sex [Dataset]. https://www.ine.es/jaxiT3/Tabla.htm?t=74673&L=1
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    text/pc-axis, txt, xlsx, html, json, csv, xlsAvailable download formats
    Dataset updated
    Oct 31, 2025
    Dataset provided by
    National Statistics Institutehttp://www.ine.es/
    Authors
    INE - Instituto Nacional de Estadística
    License

    https://www.ine.es/aviso_legalhttps://www.ine.es/aviso_legal

    Time period covered
    Jan 1, 2004 - Jan 1, 2023
    Variables measured
    Sex, Type of data, Edad población, Quality of Life Indicator
    Description

    Quality of Life Indicators: Population suffering from contamination problems and other environmental problems by sex. Annual. National.

  12. Persons living with housing problems, by select housing-vulnerable...

    • www150.statcan.gc.ca
    • datasets.ai
    • +1more
    Updated Sep 10, 2024
    + more versions
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    Government of Canada, Statistics Canada (2024). Persons living with housing problems, by select housing-vulnerable populations and affordability, suitability, adequacy and core housing need indicators [Dataset]. http://doi.org/10.25318/4610006801-eng
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    Dataset updated
    Sep 10, 2024
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    Persons living with housing problems, by select housing-vulnerable populations and affordability, suitability, adequacy and core housing need indicators, Canada. Vulnerable population refers to persons belonging, or perceived as belonging, to groups that are in a disadvantaged position or marginalized.

  13. Predicting population age structures of China, India, and Vietnam by 2030...

    • plos.figshare.com
    png
    Updated May 31, 2023
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    Yigang Wei; Zhichao Wang; Huiwen Wang; Yan Li; Zhenyu Jiang (2023). Predicting population age structures of China, India, and Vietnam by 2030 based on compositional data [Dataset]. http://doi.org/10.1371/journal.pone.0212772
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    pngAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Yigang Wei; Zhichao Wang; Huiwen Wang; Yan Li; Zhenyu Jiang
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    India, Vietnam, China
    Description

    The changing population age structure has a significant influence on the economy, society, and numerous other aspects of a country. This paper has innovatively applied the method of compositional data forecasting for the prediction of population age changes of the young (aged 0–14), the middle-aged (aged 15–64), and the elderly (aged older than 65) in China, India, and Vietnam by 2030 based on data from 1960 to 2016. To select the best-suited forecasting model, an array of data transformation approaches and forecasting models have been extensively employed, and a large number of comparisons have been made between the aforementioned methods. The best-suited model for each country is identified considering the root mean squared error and mean absolute percent error values from the compositional data. As noted in this study, first and foremost, it is predicted that by the year 2030, China will witness the disappearance of population dividend and get mired in an aging problem far more severe than that of India or Vietnam. Second, Vietnam’s trend of change in population age structure resembles that of China, but the country will sustain its good health as a whole. Finally, the working population of India demonstrates a strong rising trend, indicating that the age structure of the Indian population still remains relatively “young”. Meanwhile, the continuous rise in the proportion of elderly population and the gradual leveling off growth of the young population have nevertheless become serious problems in the world. The present paper attempts to offer crucial insights into the Asian population size, labor market and urbanization, and, moreover, provides suggestions for a sustainable global demographic development.

  14. Issue, MD, US Demographics 2025

    • point2homes.com
    html
    Updated 2025
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    Point2Homes (2025). Issue, MD, US Demographics 2025 [Dataset]. https://www.point2homes.com/US/Neighborhood/MD/Issue-Demographics.html
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    htmlAvailable download formats
    Dataset updated
    2025
    Dataset authored and provided by
    Point2Homeshttps://plus.google.com/116333963642442482447/posts
    Time period covered
    2025
    Area covered
    Maryland, United States
    Variables measured
    Asian, Other, White, 2 units, Over 65, Median age, Blue collar, Mobile home, 3 or 4 units, 5 to 9 units, and 69 more
    Description

    Comprehensive demographic dataset for Issue, MD, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.

  15. Population suffering from contamination problems and other environmental...

    • ine.es
    csv, html, json +4
    Updated Oct 31, 2025
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    INE - Instituto Nacional de Estadística (2025). Population suffering from contamination problems and other environmental problems by age [Dataset]. https://www.ine.es/jaxiT3/Tabla.htm?t=74674&L=1
    Explore at:
    txt, xls, csv, xlsx, html, text/pc-axis, jsonAvailable download formats
    Dataset updated
    Oct 31, 2025
    Dataset provided by
    National Statistics Institutehttp://www.ine.es/
    Authors
    INE - Instituto Nacional de Estadística
    License

    https://www.ine.es/aviso_legalhttps://www.ine.es/aviso_legal

    Time period covered
    Jan 1, 2004 - Jan 1, 2023
    Variables measured
    Age, Type of data, Edad población, Quality of Life Indicator
    Description

    Quality of Life Indicators: Population suffering from contamination problems and other environmental problems by age. Annual. National.

  16. Share of population with problems covering monthly expenses Spain 2022, by...

    • statista.com
    Updated Jul 18, 2023
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    Statista (2023). Share of population with problems covering monthly expenses Spain 2022, by education [Dataset]. https://www.statista.com/statistics/1259189/population-with-difficulties-making-ends-meet-by-educational-level-and-degree-of-difficulty-spain/
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    Dataset updated
    Jul 18, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2022
    Area covered
    Spain
    Description

    In 2022, over ** percent of residents in Spain whose education level was primary education or lower and first stage secondary education had difficulties making ends meet. Moreover, in both cases nearly ** percent of such individuals made ends meet with a great deal of difficulty. On the flip side, those with higher education had a much lower difficulty covering their necessary expenses.

  17. Population Density by County 2020

    • noaa.hub.arcgis.com
    Updated Sep 12, 2024
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    NOAA GeoPlatform (2024). Population Density by County 2020 [Dataset]. https://noaa.hub.arcgis.com/maps/04c3d53bf58c4ecba1327ff6d2b39b98
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    Dataset updated
    Sep 12, 2024
    Dataset provided by
    National Oceanic and Atmospheric Administrationhttp://www.noaa.gov/
    Authors
    NOAA GeoPlatform
    Area covered
    Description

    This layer presents population density data by county for states bordering the U.S. Gulf, sourced from the U.S. Census Bureau’s 2020 Census Demographic and Housing Characteristics. Population density is displayed as the number of people per square kilometer. Broadly speaking, population density indicates how many people would inhabit one square kilometer if the population were evenly distributed across the area. However, population distribution is uneven. People tend to cluster in urban areas, while those in rural regions are spread out over a much more sparsely populated landscape. Population density is a crucial metric for understanding and managing human population dynamics and their effects on society and the environment. It helps assess various environmental challenges, including urban sprawl, pollution, habitat loss, and resource depletion. Coastal areas frequently experience high population density due to urbanization, influencing land use, housing, and infrastructure development. This density can also stimulate tourism and recreation, necessitating careful planning for facilities, transportation, and environmental protection. Additionally, coastal regions are more susceptible to natural disasters such as hurricanes and flooding, making population density data essential for developing effective evacuation plans and emergency services. Data: U.S. Census BureauDocumentation: U.S. Census Bureau This is a component of the Gulf Data Atlas (V2.0) for the Socioeconomic Conditions topic area.

  18. g

    Population under 16 years of age according to health problems suffered in...

    • gimi9.com
    + more versions
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    Population under 16 years of age according to health problems suffered in the last 12 months and age groups. Canary Islands. 2021 | gimi9.com [Dataset]. https://gimi9.com/dataset/eu_b31e6f6d226c037ea56ff57a87a50e361c3f452a/
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    Area covered
    Canary Islands
    Description

    This table provides 2021 data on the estimated population under 16 years of age in the Canary Islands due to health problems suffered in the last 12 months and age groups.

  19. p

    Population and Housing Census 2006 - Tonga

    • microdata.pacificdata.org
    Updated May 20, 2019
    + more versions
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    Tonga Statistics Department (2019). Population and Housing Census 2006 - Tonga [Dataset]. https://microdata.pacificdata.org/index.php/catalog/183
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    Dataset updated
    May 20, 2019
    Dataset authored and provided by
    Tonga Statistics Department
    Time period covered
    2006
    Area covered
    Tonga
    Description

    Abstract

    The Census is the official count of population and dwellings in Tonga, providing a ‘snapshot’ of the society and its most precious resource, its people, at a point in time. The official reference period of the census was midnight, the 30th of November, 2006.

    The census provides a unique source of detailed demographic, social and economic data relating the entire population at a single point in time. Census information is used for policy setting and implementation, research, planning and other decision-making. The census is often the primary source of information used for the allocation of public funding, especially in areas such as health, education and social policy. The main users of this information are the government, local authorities, education facilities (such as schools and tertiary organizations), businesses, community organizations and the public in general.

    The 2006 Census was taken under the authority of Section 8 of Statistical Act Chap. 53 of 1978 which empowers the Minister of Finance to make regulations necessary to conduct the population Census. This regulation was approved by the Cabinet and cited as Census Regulation 2006. The Census regulations also indicate that the Government Statistician would be responsible for the administration and completion of the Census. In addition, the regulations enabled the Statistics Department to carry out the necessary activities required to plan, manage and implement all the necessary Census activities.

    Census planning and management

    From a planning and management perspective, the Census had two main objectives. Firstly, it was to ensure that the process of collecting, compiling, evaluating, analyzing and disseminating of demographic, economic and social data was conducted in a timely and accurate manner. The development of procedures and processes for the 2006 Census of Population and Housing made use of the lessons learned in previous censuses, and built upon recommendations for improvements.

    Secondly, it was a valuable opportunity for building the capacities of employees of the Statistics Department (SD), thus resulting in enhancing the image, credibility and reputation of the Department and at the same time, strengthening its infrastructure. Emphasis was placed on having a senior staff with a wide perspective and leadership qualities. Through the use of vision, planning, coordination, delegation of responsibility and a strong team spirit, the census work was conducted in an effective and efficient manner. Staffs at all levels were encouraged to have an innovative mindset in addressing issues. Incentives for other parties to participate, both within Statistics Department Tonga Tonga 2006 Census of Population and Housing viii and outside the government, were encouraged. As a result, the wider community including donors such as AusAID, the Secretariat of the Pacific Community (SPC) in Noumea, that provided the technical assistance and the general public, were able to support the census project.

    Extensive and detailed planning is needed to conduct a successful census. Areas that required planning include: enumeration procedures and fieldwork, public communication, data processing and output systems, mapping and the design of census block boundaries, dissemination procedures, content determination and questionnaire development and training. These aspects, and how they interacted with each other, played a crucial role in determining the quality of all of the census outputs. Each phase therefore required careful, methodical planning and testing. The details of such activities, and their implementation and responsibilities were assigned to 5 subcommittees composed of staff members of the SD.

    Organizational structure of the Census

    A census organizational structure is designed to implement a number of interrelated activities. Each of these activities was assigned to a specific sub-committee. The census manuals provided guidelines on processes, organizational structures, controls for quality assurance and problem solving. The challenge for managers was developing a work environment that enabled census personnel to perform all these tasks with a common goal in mind. Each sub-committee was responsible for its own outputs, and specific decisions for specific situations were delegated to the lowest level possible. Problem situations beyond the scope of the sub-committee were escalated to the next higher level.

    The organizational structure of the census was as follows: a) The Steering Committee (consisting of the Head of both Government and nongovernment organizations), chaired by Secretary for Finance with the Government Statistician (GS) as secretary. b) The Census Committee (consisted of all sub-committee leaders plus the GS, and chaired by the Assistant Government Statistician (AGS) who was the officer in charge of all management and planning of the Census 2006 operations. c) There were five Sub-committees (each sub-committee consisted of about 5 members and were chaired by their Sub-committee leader). These committees included: Mapping, Publicity, Fieldwork, Training and Data Processing. In this way, every staff member of the SD was involved with the census operation through their participation on these committees.

    The census steering committee was a high level committee that approved and endorsed the plans and activities of the census. Policy issues that needed to be addressed were submitted to the steering committee for approval prior to the census team and sub-committees designation of the activities necessary to address the tasks.

    Part of the initial planning of the 2006 Census involved the establishment of a work-plan with specific time frames. This charted all activities that were to be undertaken and, their impact and dependencies on other activities. These time frames were an essential part of the overall exercise, as they provided specific guides to the progress of each area, and alerted subcommittees’ team leaders (TL) to areas where problems existed and needed to be addressed. These also provided the SD staff with a clear indication of where and how their roles impacted the overall Census process.

    Monitoring of the timeframe was an essential part of the management of the Census program. Initially, weekly meetings were held which involved the GS, AGS and team leaders (TL) of the Census committee. As the Census projects progressed, the AGS and TL’s met regularly with their sub-committees to report on the progress of each area. Decisions were made on necessary actions in order to meet the designated dates. Potential risks that could negatively affect the deadlines and actions were also considered at these meetings.

    For the 5 sub-committees, one of their first tasks was to verify and amend their terms of reference using the “Strengths, Weaknesses, Opportunities and Threats” (SWOT) analysis methodology, as it applied to past censuses. Each committee then prepared a work-plan and listed all activities for which that particular sub-committee was responsible. This listing included the assignment of a responsible person, together with the timeline indicating the start and end dates required to complete that particular activity. These work-plans, set up by all the 5 sub-committees, were then used by the AGS to develop a detailed operational plan for all phases of the census, the activities required to complete these phases, start and end dates, the person responsible and the dependencies, - all in a Ghant chart format. These combined work-plans were further discussed and amended in the Census team and reported to the Steering committee on regular basis as required.

    Geographic coverage

    National coverage, which includes the 5 Divisions and both Urban and Rural Areas of Tonga.

    Analysis unit

    Individual and Households.

    Universe

    All individuals in private and institutional households.

    Kind of data

    Census/enumeration data [cen]

    Sampling procedure

    The National Population Census was a complete enumeration census, hence no sampling procedure was employed. A Mapping Sub-committee was formed to ensure complete coverage of the country.

    The Mapping Sub-committee

    Led by Mr. Winston Fainga'anuku, this committee's mandate was to ensure that good quality maps were produced. The objective was to ensure that the maps provided complete coverage of the country, were designed to accommodate a reasonable workload of one census enumerator and, that geographic identifiers could be used for dissemination purposes by the PopGIS system. Collaborations with the Ministry of Land, Survey and Natural Resources (MLSNR) began in 2004 to ensure that digitized maps for Tonga could be used for 2006 Census. Mr. Fainga'anuku was attached to the MLSNR in April 2005 to assist 'Atelea Kautoke, Samuela Mailau, Lilika and others to complete the task of digitizing the maps for Tonga. In addition, frequent visits by Mr. Scott Pontifex from the Secretariat of the Pacific Community (SPC) in Noumea, assisted to ensure that quality digitized maps were prepared. SPC also assisted by lending its digitizer which was used in this mapping project. The staff of the Statistics Department (SD) visited household sites throughout Tongatapu and the main outer islands. This exercise was to redesign the Census Block boundaries by amalgamating or splitting existing census blocks to achieve an average of 50 households per census block. Various updates within the census block maps were made. These included the names of the head of household; roads and other landmarks to ensure that current and accurate information was provided to the enumerators. Reliable maps, both for enumerators and supervisors are necessary ingredients to assist in avoiding any under or over - counting during

  20. US Population Health Management (PHM) Market Analysis - Size and Forecast...

    • technavio.com
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    Updated Feb 22, 2025
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    Technavio (2025). US Population Health Management (PHM) Market Analysis - Size and Forecast 2025-2029 [Dataset]. https://www.technavio.com/report/us-population-health-management-market-analysis
    Explore at:
    pdfAvailable download formats
    Dataset updated
    Feb 22, 2025
    Dataset provided by
    TechNavio
    Authors
    Technavio
    License

    https://www.technavio.com/content/privacy-noticehttps://www.technavio.com/content/privacy-notice

    Time period covered
    2025 - 2029
    Area covered
    United States
    Description

    Snapshot img

    US Population Health Management (PHM) Market Size 2025-2029

    The us population health management (phm) market size is forecast to increase by USD 6.04 billion at a CAGR of 7.4% between 2024 and 2029.

    The Population Health Management (PHM) market in the US is experiencing significant growth, driven by the increasing adoption of healthcare IT solutions and analytics. These technologies enable healthcare providers to collect, analyze, and act on patient data to improve health outcomes and reduce costs. However, the high perceived costs associated with PHM solutions pose a challenge for some organizations, limiting their ability to fully implement and optimize these technologies. Despite this obstacle, the potential benefits of PHM, including improved patient care and population health, make it a strategic priority for many healthcare organizations. To capitalize on this opportunity, companies must focus on cost-effective solutions and innovative approaches to addressing the challenges of PHM implementation and optimization. By leveraging advanced analytics, cloud technologies, and strategic partnerships, organizations can overcome cost barriers and deliver better care to their patient populations.

    What will be the size of the US Population Health Management (PHM) 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 Sample

    The Population Health Management (PHM) market in the US is experiencing significant advancements, integrating various elements to improve patient outcomes and reduce healthcare costs. Public health surveillance and data governance ensure accurate population health data, enabling healthcare leaders to identify health disparities and target interventions. Quality measures and health literacy initiatives promote transparency and patient activation, while data visualization and business intelligence facilitate data-driven decision-making. Behavioral health integration, substance abuse treatment, and mental health services address the growing need for holistic care, and outcome-based contracts incentivize providers to focus on patient outcomes. Health communication, community health workers, and patient portals enhance patient engagement, while wearable devices and mHealth technologies provide real-time data for personalized care plans. Precision medicine and predictive modeling leverage advanced analytics to tailor treatment approaches, and social service integration addresses the social determinants of health. Health data management, data storytelling, and healthcare innovation continue to drive market growth, transforming the industry and improving overall population health.

    How is this market segmented?

    The market 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. ProductSoftwareServicesDeploymentCloudOn-premisesEnd-userHealthcare providersHealthcare payersEmployers and government bodiesGeographyNorth AmericaUS

    By Product Insights

    The software segment is estimated to witness significant growth during the forecast period.

    Population Health Management (PHM) software in the US gathers patient data from healthcare systems and utilizes advanced analytics tools, including data visualization and business intelligence, to predict health conditions and improve patient care. PHM software aims to enhance healthcare efficiency, reduce costs, and ensure quality patient care. By analyzing accurate patient data, PHM software enables the identification of community health risks, leading to proactive interventions and better health outcomes. The adoption of PHM software is on the rise in the US due to the growing emphasis on value-based care and the increasing prevalence of chronic diseases. Machine learning, artificial intelligence, and predictive analytics are integral components of PHM software, enabling healthcare payers to develop personalized care plans and improve care coordination. Data integration and interoperability facilitate seamless data sharing among various healthcare stakeholders, while data visualization tools help in making informed decisions. Public health agencies and healthcare providers leverage PHM software for population health research, disease management programs, and quality improvement initiatives. Cloud computing and data warehousing provide the necessary infrastructure for storing and managing large volumes of population health data. Healthcare regulations mandate the adoption of PHM software to ensure compliance with data privacy and security standards. PHM software also supports care management services, patient engagement platforms, and remote patient monitoring, empowering patients to take charge of their health. Welln

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Manas Parashar (2023). World Population Analysis [Dataset]. https://www.kaggle.com/datasets/parasharmanas/world-population-analysis
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World Population Analysis

A Comprehensive Analysis of the World's Population Trends and Dynamics.

Explore at:
59 scholarly articles cite this dataset (View in Google Scholar)
zip(8635 bytes)Available download formats
Dataset updated
Oct 5, 2023
Authors
Manas Parashar
License

Open Database License (ODbL) v1.0https://www.opendatacommons.org/licenses/odbl/1.0/
License information was derived automatically

Area covered
World
Description

The analysis of the world's population is a complex and multifaceted endeavor, encompassing a wide range of demographic, economic, social, and environmental factors. Understanding these trends and dynamics is crucial for policymakers, researchers, and organizations to make informed decisions and plan for the future. This article delves into a comprehensive analysis of the world's population, examining its growth patterns, demographic shifts, challenges, and opportunities.

Population Growth. The world's population has experienced remarkable growth over the past century. In 1927, the global population reached its first billion, and since then, it has surged exponentially. As of the latest available data in 2021, the world's population stands at approximately 7.8 billion. Projections indicate that this figure will continue to rise, with estimates suggesting a population of over 9 billion by 2050.

Factors Driving Population Growth. 1. Fertility Rates: High birth rates, particularly in developing countries, have been a significant driver of population growth. Access to healthcare, education, and family planning services plays a crucial role in reducing fertility rates. 2. Increased Life Expectancy: Improvements in healthcare, nutrition, and sanitation have led to longer life expectancy worldwide. This has contributed to population growth, as people are living longer and healthier lives. 3. Demographic Shifts: Demographic shifts are shaping our world in significant ways. In developed countries, an aging population with a higher median age is reshaping healthcare systems, retirement policies, and workforce dynamics. Simultaneously, urbanization is accelerating, with over half of the global population now living in cities, presenting challenges and opportunities for infrastructure, resource management, and social development.

Challenges. 1. Overpopulation: Rapid population growth in certain regions can strain resources, leading to issues such as food scarcity, water shortages, and overcrowding. 2. Aging Workforce: As the global population ages, there may be a shortage of skilled workers, affecting economic productivity and social support systems. 3. Environmental Impact: Population growth is closely linked to increased resource consumption and environmental degradation. Sustainable development and conservation efforts are essential to mitigate these effects.

Opportunities. 1. Demographic Dividend: Countries with youthful populations can benefit from a demographic dividend, where a large working-age population can drive economic growth and innovation. 2. Cultural Diversity: A diverse global population can lead to cultural exchange, creativity, and a richer societal tapestry. 3. Innovation and Technology: Addressing the challenges posed by population growth can drive innovation in areas such as healthcare, agriculture, and energy production.

Analysing the world's population is a complex task that involves understanding its growth patterns, demographic shifts, challenges, and opportunities. As the global population continues to rise, it is essential to address the associated challenges while harnessing the potential benefits of a diverse and dynamic world population. Policymakers, researchers, and organizations must work collaboratively to create sustainable solutions that ensure a prosperous future for all.

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