66 datasets found
  1. G

    HIV infections by country, around the world | TheGlobalEconomy.com

    • theglobaleconomy.com
    csv, excel, xml
    Updated Apr 24, 2015
    + more versions
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    Globalen LLC (2015). HIV infections by country, around the world | TheGlobalEconomy.com [Dataset]. www.theglobaleconomy.com/rankings/HIV_infections/
    Explore at:
    xml, excel, csvAvailable download formats
    Dataset updated
    Apr 24, 2015
    Dataset authored and provided by
    Globalen LLC
    License

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

    Time period covered
    Dec 31, 1990 - Dec 31, 2022
    Area covered
    World
    Description

    The average for 2022 based on 135 countries was 1.66 percent. The highest value was in Swaziland: 25.9 percent and the lowest value was in Afghanistan: 0.1 percent. The indicator is available from 1990 to 2022. Below is a chart for all countries where data are available.

  2. Countries with the highest prevalence of HIV in 2000 and 2024

    • statista.com
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    Statista, Countries with the highest prevalence of HIV in 2000 and 2024 [Dataset]. https://www.statista.com/statistics/270209/countries-with-the-highest-global-hiv-prevalence/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    World
    Description

    Among all countries worldwide those in sub-Saharan Africa have the highest rates of HIV. The countries with the highest rates of HIV include Eswatini, South Africa, and Lesotho. In 2024, Eswatini had the highest prevalence of HIV with a rate of around ** percent. Other countries, such as Zimbabwe, have significantly decreased their HIV prevalence. Community-based HIV services are considered crucial to the prevention and treatment of HIV. HIV Worldwide The human immunodeficiency virus (HIV) is a viral infection that is transmitted via exposure to infected semen, blood, vaginal and anal fluids, and breast milk. HIV destroys the human immune system, rendering the host unable to fight off secondary infections. Globally, the number of people living with HIV has generally increased over the past two decades. However, the number of HIV-related deaths has decreased significantly in recent years. Despite being a serious illness that affects millions of people, medication exists that effectively manages the progression of the virus in the body. These medications are called antiretroviral drugs. HIV Treatment Generally, global access to antiretroviral treatment has increased. However, despite being available worldwide, not all adults have access to antiretroviral drugs. There are many different antiretroviral drugs available on the market. As of 2024, ********, an antiretroviral marketed by Gilead, was the leading HIV treatment based on revenue.

  3. Global Adult HIV Prevalance Data (2024 Updated)

    • kaggle.com
    zip
    Updated Dec 28, 2024
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    Kanchana1990 (2024). Global Adult HIV Prevalance Data (2024 Updated) [Dataset]. https://www.kaggle.com/datasets/kanchana1990/global-adult-hiv-prevalance-data-2024-updated
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    zip(2842 bytes)Available download formats
    Dataset updated
    Dec 28, 2024
    Authors
    Kanchana1990
    License

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

    Description

    Dataset Overview

    The dataset provides a comprehensive look at HIV/AIDS adult prevalence rates, the number of people living with HIV, and annual deaths across different countries. It is based on publicly available data sources such as the CIA World Factbook, UNAIDS AIDS Info, and other global health organizations. The dataset primarily focuses on adult HIV prevalence (ages 15–49) and includes estimates from recent years (e.g., 2023–2024).

    Data Science Applications

    This dataset can be used for: - Epidemiological Analysis: Understanding the regional distribution of HIV/AIDS and identifying high-prevalence areas. - Predictive Modeling: Developing machine learning models to predict HIV prevalence trends or identify risk factors. - Resource Allocation: Informing policymakers about regions requiring urgent intervention or resource allocation. - Health Outcome Monitoring: Tracking progress in combating HIV/AIDS over time. - Social Determinants Research: Analyzing the relationship between socio-economic factors and HIV prevalence.

    Column Descriptors

    1. Country/Region: The geographical area being analyzed.
    2. Adult Prevalence (%): Percentage of adults aged 15–49 living with HIV.
    3. Number of People with HIV/AIDS: Absolute count of individuals living with HIV in the region.
    4. Annual Deaths from HIV/AIDS: Number of deaths attributed to HIV/AIDS annually.
    5. Year of Estimate: The year when the data was collected or estimated.

    Ethically Mined Data

    The dataset is ethically sourced from publicly available and credible platforms such as the CIA World Factbook, UNAIDS, and WHO. These organizations ensure transparency and ethical standards in data collection, protecting individual privacy while providing aggregate statistics for research purposes.

    Acknowledgments

    1. Data Source Platforms:
      • CIA World Factbook
      • UNAIDS AIDS Info
      • WHO Global Health Observatory
    2. Dataset Visualization Image:
      • Created using DALL-E 3 for illustrative purposes.
    3. Research Support:
      • Contributions from platforms like ResearchGate, NIMH, and others for insights into data science applications in HIV research.

    This dataset serves as a valuable tool for researchers, policymakers, and public health professionals in addressing the global challenge of HIV/AIDS.

  4. Rates of HIV diagnoses in the United States in 2022, by state

    • statista.com
    Updated Apr 9, 2025
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    Statista (2025). Rates of HIV diagnoses in the United States in 2022, by state [Dataset]. https://www.statista.com/statistics/257734/us-states-with-highest-aids-diagnosis-rates/
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    Dataset updated
    Apr 9, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2022
    Area covered
    United States
    Description

    The states with the highest rates of HIV diagnoses in 2022 included Georgia, Louisiana, and Florida. However, the states with the highest number of people with HIV were Texas, California, and Florida. In Texas, there were around 4,896 people diagnosed with HIV. HIV/AIDS diagnoses In 2022, there were an estimated 38,043 new HIV diagnoses in the United States, a slight increase compared to the year before. Men account for the majority of these new diagnoses. There are currently around 1.2 million people living with HIV in the United States. Deaths from HIV The death rate from HIV has decreased significantly over the past few decades. In 2023, there were only 1.3 deaths from HIV per 100,000 population, the lowest rate since the epidemic began. However, the death rate varies greatly depending on race or ethnicity, with the death rate from HIV for African Americans reaching 19.2 per 100,000 population in 2022, compared to just three deaths per 100,000 among the white population.

  5. HIV Statistics | 2003-2022 | World

    • kaggle.com
    zip
    Updated Nov 18, 2023
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    TJ (2023). HIV Statistics | 2003-2022 | World [Dataset]. https://www.kaggle.com/datasets/tejota/world-bank-hiv-statistics
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    zip(227001 bytes)Available download formats
    Dataset updated
    Nov 18, 2023
    Authors
    TJ
    License

    https://www.worldbank.org/en/about/legal/terms-of-use-for-datasetshttps://www.worldbank.org/en/about/legal/terms-of-use-for-datasets

    Area covered
    World
    Description

    Source: The World Bank Last Updated: 10/26/2023 Database: World Development Indicators Series: Prevalence of HIV, total (% of population ages 15-49) Adults (ages 15+) and children (ages 0-14) newly infected with HIV Adults (ages 15-49) newly infected with HIV Antiretroviral therapy coverage (% of people living with HIV) Antiretroviral therapy coverage for PMTCT (% of pregnant women living with HIV) Children (0-14) living with HIV Children (ages 0-14) newly infected with HIV Incidence of HIV, ages 15-24 (per 1,000 uninfected population ages 15-24) Incidence of HIV, ages 15-49 (per 1,000 uninfected population ages 15-49) Incidence of HIV, all (per 1,000 uninfected population) Prevalence of HIV, female (% ages 15-24) Prevalence of HIV, male (% ages 15-24) Women's share of population ages 15+ living with HIV (%) Young people (ages 15-24) newly infected with HIV

    https://datacatalog.worldbank.org/public-licenses#cc-by

  6. U

    United States US: Prevalence of HIV: Total: % of Population Aged 15-49

    • ceicdata.com
    Updated Nov 27, 2021
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    CEICdata.com (2021). United States US: Prevalence of HIV: Total: % of Population Aged 15-49 [Dataset]. https://www.ceicdata.com/en/united-states/health-statistics/us-prevalence-of-hiv-total--of-population-aged-1549
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    Dataset updated
    Nov 27, 2021
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Dec 1, 2008 - Dec 1, 2014
    Area covered
    United States
    Description

    United States US: Prevalence of HIV: Total: % of Population Aged 15-49 data was reported at 0.500 % in 2014. This stayed constant from the previous number of 0.500 % for 2013. United States US: Prevalence of HIV: Total: % of Population Aged 15-49 data is updated yearly, averaging 0.500 % from Dec 2008 (Median) to 2014, with 7 observations. The data reached an all-time high of 0.500 % in 2014 and a record low of 0.500 % in 2014. United States US: Prevalence of HIV: Total: % of Population Aged 15-49 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s USA – Table US.World Bank: Health Statistics. Prevalence of HIV refers to the percentage of people ages 15-49 who are infected with HIV.; ; UNAIDS estimates.; Weighted Average;

  7. Number of people with HIV in select countries in Africa 2024

    • statista.com
    Updated Sep 9, 2025
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    Statista (2025). Number of people with HIV in select countries in Africa 2024 [Dataset]. https://www.statista.com/statistics/1305217/number-people-with-hiv-african-countries/
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    Dataset updated
    Sep 9, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    Africa
    Description

    As of 2024, South Africa was the country with the highest number of people living with HIV in Africa. At that time, around 7.8 million people in South Africa were HIV positive. In Mozambique, the country with the second-highest number of HIV-positive people in Africa, around 2.5 million people were living with HIV. Which country in Africa has the highest prevalence of HIV? Although South Africa has the highest total number of people living with HIV in Africa, it does not have the highest prevalence of HIV on the continent. Eswatini currently has the highest prevalence of HIV in Africa and worldwide, with almost 26 percent of the population living with HIV. South Africa has the third-highest prevalence, with around 18 percent of the population HIV positive. Eswatini also has the highest rate of new HIV infections per 1,000 population worldwide, followed by South Africa and Mozambique. However, South Africa had the highest total number of new HIV infections in 2024, with around 170,000 people newly infected with HIV that year. Deaths from HIV in Africa Thanks to advances in treatment and awareness, HIV/AIDS no longer contributes to a significant amount of death in many countries. However, the disease is still the eighth leading cause of death in Africa, accounting for around 4.6 percent of all deaths. In 2024, South Africa and Mozambique were the countries with the highest number of AIDS-related deaths worldwide, with 53,000 and 44,000 such deaths, respectively. Although not every country in the leading 25 for AIDS-related deaths is found in Africa, African countries account for the majority of countries on the list. Fortunately, HIV treatment has become more accessible in Africa over the years, and now up to 94 percent of people living with HIV in Eswatini are receiving antiretroviral therapy (ART). Access to ART does vary from country to country, however, with around 81 percent of people who are HIV positive in South Africa receiving ART and only 34 percent in the Congo.

  8. HIV/AIDS Survivors

    • kaggle.com
    zip
    Updated Jan 27, 2023
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    NEHA RAUTELA (2023). HIV/AIDS Survivors [Dataset]. https://www.kaggle.com/datasets/neharautela/hivaids/discussion
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    zip(923781 bytes)Available download formats
    Dataset updated
    Jan 27, 2023
    Authors
    NEHA RAUTELA
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    Introduction

    • HIV (human immunodeficiency virus) is a virus that attacks the body's immune system. If HIV is not treated, it can lead to AIDS (acquired immunodeficiency syndrome) which currently has no cure. Once people get HIV, they have it for life. But with proper medical care, HIV can be controlled. Symptoms: Influenza-like illness; Fatigue… Treatments: Management of HIV/AIDS Type of infectious agent: Virus (Human Immunodeficiency Virus) • AIDS (acquired immune deficiency syndrome) is the name used to describe a number of potentially life-threatening infections and illnesses that happen when one’s immune system has been severely damaged by the HIV virus. While AIDS cannot be transmitted from 1 person to another, the HIV virus can.

    Dataset

    The data set contains data of the following:- 1. The top causes of deaths in the world 2. Total number of deaths due to HIV/AIDS 3. ART (Anti Retro-viral Therapy) coverage among people living with HIV 4. Knowledge among young citizens (15-24years) about HIV/AIDS 5. Population of HIV/AIDS patients living with TB and their death rate 6. Life expectancy rate among HIV/AIDS patients 7. HIV/AIDS Patients in different age groups 8. Women population living with HIV 9. Young women in India having the knowledge of HIV/AIDS 10. HIV/AIDS deaths in Indian states

    Data was scrapped from the official website of UNICEF -https://data.unicef.org/ and https://data.gov.in/

    Ask Phase

    • Data gives the trend of increasing no. of HIV/AIDS patients across the world • The information available for each country is percentage of total Global AIDS patients • Time period traced is 2000-2019 • Key Questions to answer:  Which countries and regions are affected the most?  How are the different age groups affected?  How much is the ART (Anti Retro-viral Therapy) coverage among the patients and what is the life expectancy rate?  What percentage of the population is aware of the prevention and causes of HIV/AIDS

    Prepare phase.

    • By tabulating and filtering the data the required data was obtained to bring out observations. • Data was formatted to the desired format to perform further calculations. • Sorting of data region wise. • Columns with inconsistent and empty cells were deleted. • The data of India was extracted for further analysis • Duplicate entries and undesired data was removed

    Process phase

    For cleaning the dataset for further analysis MS Excel was used due to small data. • Used sumifs() functions to aggregate the data region wise • Used sumif() to segregate the no. of patients within different age groups • Used sumifs() to find the total number of TB patients among HIV deaths. • Used countif() to find the percentage of male and female patients. • Sorted data to find the top and bottom nation with most and least HIV/AIDS patients

    Analyze phase

    • Formed the following pivot tables to answer key target questions  Year v/s number of death rates  Country v/s death numbers to bring out nation wise deaths  Causes of death v/s the number of deaths to bring at which position AIDS causes causality  Year v/s percentage of life expectancy to observe the pattern of no. of survivors

    Visualization phase

    The data was visualized using Tableau.

    Presentaion

    The final presentation was prepared by accumulating all observations and inferences which is linked below https://docs.google.com/presentation/d/1NEX10Vz5u5Va3CrTLVbvsUHZjO-fn8EOeiOHkP03T3Q/edit?usp=sharing

  9. r

    Global HIV-AIDS Mortality by Country, 2023

    • reportlinker.com
    Updated Apr 9, 2024
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    ReportLinker (2024). Global HIV-AIDS Mortality by Country, 2023 [Dataset]. https://www.reportlinker.com/dataset/0cf1f8a42c6b4e0d23da62972aeb8841b7573084
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    Dataset updated
    Apr 9, 2024
    Dataset authored and provided by
    ReportLinker
    License

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

    Description

    Global HIV-AIDS Mortality by Country, 2023 Discover more data with ReportLinker!

  10. HIV Adult Prevalence Rate 🌍🧬

    • kaggle.com
    zip
    Updated Apr 10, 2025
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    Shuvo Kumar Basak-4004.o (2025). HIV Adult Prevalence Rate 🌍🧬 [Dataset]. https://www.kaggle.com/datasets/shuvokumarbasak2030/hiv-adult-prevalence-rate
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    zip(3026 bytes)Available download formats
    Dataset updated
    Apr 10, 2025
    Authors
    Shuvo Kumar Basak-4004.o
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Description

    Source: https://en.wikipedia.org/wiki/HIV_adult_prevalence_rate This dataset provides detailed insights into the prevalence of HIV/AIDS among adults (ages 15–49) across various countries and regions 🌐. The data is primarily sourced from the CIA World Factbook and UNAIDS AIDS info platform, and reflects the most recent available estimates as of 2022–2024 📅.

    📌 What's Included: Country/Region 🗺️ – The name of each nation or area.

    Adult Prevalence of HIV/AIDS (%) 🔬 – The percentage of adults estimated to be living with HIV.

    Number of People with HIV/AIDS 👥 – Estimated count of people infected in each country.

    Annual Deaths from HIV/AIDS ⚰️ – Estimated number of HIV/AIDS-related deaths per year.

    Year of Estimate 📆 – The year the data was reported or estimated.

    📈 Key Highlights: Global Prevalence: Around 0.7% of the global population was living with HIV in 2022, affecting nearly 39 million people.

    Hotspots: The epidemic is most severe in Southern Africa, with countries like Eswatini, Botswana, Lesotho, and Zimbabwe reporting adult prevalence rates above 20% 🔥.

    High Burden Countries:

    🇿🇦 South Africa: 17.3% prevalence, ~9.2 million infected.

    🇹🇿 Tanzania: ~7.49 million.

    🇲🇿 Mozambique: ~2.48 million.

    🇳🇬 Nigeria: ~2.45 million (1.3% prevalence).

    ⚠️ Notes: Data may vary in accuracy and is subject to ongoing updates and verification 🔍.

    Some entries include a dash ("-") where data was not published or available ❌.

    Countries with over 1% adult prevalence are categorized under Generalized HIV Epidemics (GHEs) by UNAIDS 🚨.

    📚 Data Sources: CIA World Factbook 🌐

    UNAIDS AIDS Info 💉

    Wikipedia 🧠 (used as a collection and compilation point, not primary source)

    https://en.wikipedia.org/wiki/HIV_adult_prevalence_rate

  11. M

    Montenegro ME: Prevalence of HIV: Total: % of Population Aged 15-49

    • ceicdata.com
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    CEICdata.com, Montenegro ME: Prevalence of HIV: Total: % of Population Aged 15-49 [Dataset]. https://www.ceicdata.com/en/montenegro/health-statistics/me-prevalence-of-hiv-total--of-population-aged-1549
    Explore at:
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Dec 1, 2005 - Dec 1, 2016
    Area covered
    Montenegro
    Description

    Montenegro ME: Prevalence of HIV: Total: % of Population Aged 15-49 data was reported at 0.100 % in 2016. This stayed constant from the previous number of 0.100 % for 2015. Montenegro ME: Prevalence of HIV: Total: % of Population Aged 15-49 data is updated yearly, averaging 0.100 % from Dec 1990 (Median) to 2016, with 27 observations. The data reached an all-time high of 0.100 % in 2016 and a record low of 0.100 % in 2016. Montenegro ME: Prevalence of HIV: Total: % of Population Aged 15-49 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Montenegro – Table ME.World Bank: Health Statistics. Prevalence of HIV refers to the percentage of people ages 15-49 who are infected with HIV.; ; UNAIDS estimates.; Weighted Average;

  12. w

    HIV/AIDS: Key Global Charts and Figures

    • data.wu.ac.at
    • data.amerigeoss.org
    xls
    Updated Jul 12, 2018
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    UNICEF Data and Analytics (HQ) (2018). HIV/AIDS: Key Global Charts and Figures [Dataset]. https://data.wu.ac.at/schema/data_humdata_org/Y2VmMTg3YzEtZWUyYi00ODc1LWI4NDEtNzc1ZWM2MTUyN2Jh
    Explore at:
    xls(850432.0)Available download formats
    Dataset updated
    Jul 12, 2018
    Dataset provided by
    UNICEF Data and Analytics (HQ)
    License

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

    Description

    Key global charts and figures

  13. Global HIV AIDS Spending 2000 to 2015

    • johnsnowlabs.com
    csv
    Updated Jan 20, 2021
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    John Snow Labs (2021). Global HIV AIDS Spending 2000 to 2015 [Dataset]. https://www.johnsnowlabs.com/marketplace/global-hiv-aids-spending-2000-to-2015/
    Explore at:
    csvAvailable download formats
    Dataset updated
    Jan 20, 2021
    Dataset authored and provided by
    John Snow Labs
    Time period covered
    Jan 1, 2000 - Dec 31, 2015
    Area covered
    World
    Description

    This dataset provides estimates for Human Immunodeficiency Virus/Acquired Immunodeficiency Syndrome (HIV/AIDS) spending for 188 countries for 2000 to 2015. Data is taken from the Institute for Health Metrics and Evaluation (IHME) and the Global Health Data Exchange.

  14. f

    Table_1_Global, regional, and national HIV/AIDS disease burden levels and...

    • datasetcatalog.nlm.nih.gov
    Updated Feb 15, 2023
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    Wu, Nanping; Tian, Xuebin; Zhang, Xiaodi; Han, Dating; Xie, Yiwen; Chen, Jingjing; Yin, Wanpeng; Fu, Haijing; Wang, Xi (2023). Table_1_Global, regional, and national HIV/AIDS disease burden levels and trends in 1990–2019: A systematic analysis for the global burden of disease 2019 study.docx [Dataset]. https://datasetcatalog.nlm.nih.gov/dataset?q=0001081659
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    Dataset updated
    Feb 15, 2023
    Authors
    Wu, Nanping; Tian, Xuebin; Zhang, Xiaodi; Han, Dating; Xie, Yiwen; Chen, Jingjing; Yin, Wanpeng; Fu, Haijing; Wang, Xi
    Description

    BackgroundSince the first HIV/AIDS case appeared in 1980s, HIV/AIDS has been the focus of international attention. As a major public health problem, there are epidemiological uncertainties about the future of HIV/AIDS. It is important to monitor the global statistics of HIV/AIDS prevalence, deaths, disability adjusted life years (DALYs), and risk factors for adequate prevention and control.MethodsThe Global Burden of Disease Study 2019 database was used to analyze the burden of HIV/AIDS in 1990–2019. By extracting global, regional, and national data on HIV/AIDS prevalence, deaths, and DALYs, we described the distribution by age and sex, explored the risk factors, and analyzed the trends in HIV/AIDS.ResultsIn 2019, there were 36.85 million HIV/AIDS cases (95% UI: 35.15–38.86 million), 863.84 thousand deaths (95% UI: 78.61–99.60 thousand), and 47.63 million (95% UI: 42.63–55.65 million) DALYs. The global age-standardized HIV/AIDS prevalence, death, and DALY rates were 454.32 (95% UI: 433.76–478.59), 10.72 (95% UI: 9.70–12.39), and 601.49 (95% UI: 536.16–703.92) per 100,000 cases, respectively. In 2019, the global age-standardized HIV/AIDS prevalence, death, and DALY rates increased by 307.26 (95% UI: 304.45–312.63), 4.34 (95% UI: 3.78–4.90), and 221.91 (95% UI: 204.36–239.47) per 100,000 cases, respectively, compared to 1990. Age-standardized prevalence, death, and DALY rates decreased in high sociodemographic index (SDI) areas. High age-standardized rates were observed in low sociodemographic index areas, while low age-standardized rates were observed in high sociodemographic index areas. In 2019, the high age-standardized prevalence, death, and DALY rates were predominant in Southern Sub-Saharan Africa, and global DALYs peaked in 2004 and subsequently decreased. The highest global HIV/AIDS DALYs were in the 40–44 age group. The main risk factors affecting HIV/AIDS DALY rates included behavioral risks, drug use, partner violence, and unsafe sex.ConclusionsHIV/AIDS disease burden and risk factors vary by region, sex, and age. As access to health care increases across countries and treatment for HIV/AIDS infection improves, the HIV/AIDS disease burden is concentrated in areas with low SDIs, particularly in South Africa. Regional differences should be fully considered to target optimal prevention strategies and treatment options based on risk factors.

  15. A

    Azerbaijan AZ: Newly Infected with HIV: Adults (Aged 15+) and Children (Aged...

    • ceicdata.com
    Updated Aug 5, 2020
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    CEICdata.com (2020). Azerbaijan AZ: Newly Infected with HIV: Adults (Aged 15+) and Children (Aged 0-14) [Dataset]. https://www.ceicdata.com/en/azerbaijan/social-health-statistics/az-newly-infected-with-hiv-adults-aged-15-and-children-aged-014-
    Explore at:
    Dataset updated
    Aug 5, 2020
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Dec 1, 2011 - Dec 1, 2022
    Area covered
    Azerbaijan
    Description

    Azerbaijan Newly Infected with HIV: Adults (Aged 15+) and Children (Aged 0-14) data was reported at 560.000 Number in 2022. This records an increase from the previous number of 550.000 Number for 2021. Azerbaijan Newly Infected with HIV: Adults (Aged 15+) and Children (Aged 0-14) data is updated yearly, averaging 570.000 Number from Dec 1990 (Median) to 2022, with 33 observations. The data reached an all-time high of 910.000 Number in 2004 and a record low of 100.000 Number in 1993. Azerbaijan Newly Infected with HIV: Adults (Aged 15+) and Children (Aged 0-14) data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Azerbaijan – Table AZ.World Bank.WDI: Social: Health Statistics. Number of adults (ages 15+) and children (ages 0-14) newly infected with HIV.;UNAIDS estimates.;;This indicator is related to Sustainable Development Goal 3.3.1 [https://unstats.un.org/sdgs/metadata/].

  16. HIV / AIDS

    • kaggle.com
    zip
    Updated Jul 2, 2022
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    hrterhrter (2022). HIV / AIDS [Dataset]. https://www.kaggle.com/datasets/programmerrdai/hiv-aids
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    zip(2975365 bytes)Available download formats
    Dataset updated
    Jul 2, 2022
    Authors
    hrterhrter
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    HIV (human immunodeficiency virus) is a virus that attacks the body's immune system. If HIV is not treated, it can lead to AIDS (acquired immunodeficiency syndrome). There is currently no effective cure. Once people get HIV, they have it for life. But with proper medical care, HIV can be controlled. Symptoms: Influenza-like illness; Fatigue... Treatments: Management of HIV/AIDS Type of infectious agent: Virus

    AIDS (acquired immune deficiency syndrome) is the name used to describe a number of potentially life-threatening infections and illnesses that happen when your immune system has been severely damaged by the HIV virus. While AIDS cannot be transmitted from 1 person to another, the HIV virus can.

    @article{owidhivaids, author = {Max Roser and Hannah Ritchie}, title = {HIV / AIDS}, journal = {Our World in Data}, year = {2018}, note = {https://ourworldindata.org/hiv-aids} }

  17. T

    Trinidad and Tobago TT: Prevalence of HIV: Total: % of Population Aged 15-49...

    • ceicdata.com
    Updated Dec 15, 2017
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    CEICdata.com (2017). Trinidad and Tobago TT: Prevalence of HIV: Total: % of Population Aged 15-49 [Dataset]. https://www.ceicdata.com/en/trinidad-and-tobago/health-statistics/tt-prevalence-of-hiv-total--of-population-aged-1549
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    Dataset updated
    Dec 15, 2017
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Dec 1, 2005 - Dec 1, 2016
    Area covered
    Trinidad and Tobago
    Description

    Trinidad and Tobago TT: Prevalence of HIV: Total: % of Population Aged 15-49 data was reported at 1.200 % in 2016. This stayed constant from the previous number of 1.200 % for 2015. Trinidad and Tobago TT: Prevalence of HIV: Total: % of Population Aged 15-49 data is updated yearly, averaging 1.100 % from Dec 1990 (Median) to 2016, with 27 observations. The data reached an all-time high of 1.200 % in 2016 and a record low of 0.100 % in 1990. Trinidad and Tobago TT: Prevalence of HIV: Total: % of Population Aged 15-49 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Trinidad and Tobago – Table TT.World Bank: Health Statistics. Prevalence of HIV refers to the percentage of people ages 15-49 who are infected with HIV.; ; UNAIDS estimates.; Weighted Average;

  18. HIV_Adult_africa

    • kaggle.com
    zip
    Updated Apr 22, 2025
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    willian oliveira (2025). HIV_Adult_africa [Dataset]. https://www.kaggle.com/datasets/willianoliveiragibin/hiv-adult-africa
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    zip(3026 bytes)Available download formats
    Dataset updated
    Apr 22, 2025
    Authors
    willian oliveira
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    This dataset provides detailed insights into the prevalence of HIV/AIDS among adults (ages 15–49) across various countries and regions. The data is primarily sourced from the CIA World Factbook and the UNAIDS AIDSinfo platform and reflects the most recent available estimates as of 2022–2024.

    What’s Included:

    Country/Region – The name of each nation or area.

    Adult Prevalence of HIV/AIDS (%) – The percentage of adults estimated to be living with HIV.

    Number of People with HIV/AIDS – Estimated count of people infected in each country.

    Annual Deaths from HIV/AIDS – Estimated number of HIV/AIDS-related deaths per year.

    Year of Estimate – The year the data was reported or estimated.

    Key Highlights:

    Global Prevalence: Around 0.7% of the global population was living with HIV in 2022, affecting nearly 39 million people.

    Hotspots: The epidemic is most severe in Southern Africa, with countries like Eswatini, Botswana, Lesotho, and Zimbabwe reporting adult prevalence rates above 20%.

    High Burden Countries:

    South Africa: 17.3% prevalence, approximately 9.2 million infected

    Tanzania: approximately 7.49 million

    Mozambique: approximately 2.48 million

    Nigeria: approximately 2.45 million (1.3% prevalence)

    Notes:

    Data may vary in accuracy and is subject to ongoing updates and verification.

    Some entries include a dash ("-") where data was not published or available.

    Countries with over 1% adult prevalence are categorized under Generalized HIV Epidemics (GHEs) by UNAIDS.

  19. HIV AIDS Dataset

    • kaggle.com
    zip
    Updated Jun 11, 2020
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    Devakumar K. P. (2020). HIV AIDS Dataset [Dataset]. https://www.kaggle.com/datasets/imdevskp/hiv-aids-dataset/code
    Explore at:
    zip(38012 bytes)Available download formats
    Dataset updated
    Jun 11, 2020
    Authors
    Devakumar K. P.
    Description

    Context

    In the time of epidemics, what is the status of HIV AIDS across the world, where does each country stands, is it getting any better. The data set should be helpful to explore much more about above mentioned factors.

    Content

    The data set contains data on

    1. No. of people living with HIV AIDS
    2. No. of deaths due to HIV AIDS
    3. No. of cases among adults (19-45)
    4. Prevention of mother-to-child transmission estimates
    5. ART (Anti Retro-viral Therapy) coverage among people living with HIV estimates
    6. ART (Anti Retro-viral Therapy) coverage among children estimates

    Acknowledgements / Data Source

    Collection methodology

    https://github.com/imdevskp/hiv_aids_who_unesco_data_cleaning

    Cover Photo

    Photo by Anna Shvets from Pexels https://www.pexels.com/photo/red-ribbon-on-white-surface-3900425/

    Similar Datasets

  20. C

    Cuba CU: Prevalence of HIV: Total: % of Population Aged 15-49

    • ceicdata.com
    Updated Mar 10, 2024
    + more versions
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    CEICdata.com (2024). Cuba CU: Prevalence of HIV: Total: % of Population Aged 15-49 [Dataset]. https://www.ceicdata.com/en/cuba/social-health-statistics/cu-prevalence-of-hiv-total--of-population-aged-1549
    Explore at:
    Dataset updated
    Mar 10, 2024
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Dec 1, 2011 - Dec 1, 2022
    Area covered
    Cuba
    Description

    Cuba CU: Prevalence of HIV: Total: % of Population Aged 15-49 data was reported at 0.600 % in 2022. This stayed constant from the previous number of 0.600 % for 2021. Cuba CU: Prevalence of HIV: Total: % of Population Aged 15-49 data is updated yearly, averaging 0.200 % from Dec 1990 (Median) to 2022, with 33 observations. The data reached an all-time high of 0.600 % in 2022 and a record low of 0.100 % in 2003. Cuba CU: Prevalence of HIV: Total: % of Population Aged 15-49 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Cuba – Table CU.World Bank.WDI: Social: Health Statistics. Prevalence of HIV refers to the percentage of people ages 15-49 who are infected with HIV.;UNAIDS estimates.;Weighted average;

Share
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Email
Click to copy link
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Globalen LLC (2015). HIV infections by country, around the world | TheGlobalEconomy.com [Dataset]. www.theglobaleconomy.com/rankings/HIV_infections/

HIV infections by country, around the world | TheGlobalEconomy.com

Explore at:
xml, excel, csvAvailable download formats
Dataset updated
Apr 24, 2015
Dataset authored and provided by
Globalen LLC
License

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

Time period covered
Dec 31, 1990 - Dec 31, 2022
Area covered
World
Description

The average for 2022 based on 135 countries was 1.66 percent. The highest value was in Swaziland: 25.9 percent and the lowest value was in Afghanistan: 0.1 percent. The indicator is available from 1990 to 2022. Below is a chart for all countries where data are available.

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