56 datasets found
  1. 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
    CEIC Data
    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;

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

    • statista.com
    • ai-chatbox.pro
    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.

  3. d

    HIV/AIDS Diagnoses by Neighborhood, Age Group, and Race/Ethnicity

    • catalog.data.gov
    • data.cityofnewyork.us
    Updated Mar 18, 2023
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    data.cityofnewyork.us (2023). HIV/AIDS Diagnoses by Neighborhood, Age Group, and Race/Ethnicity [Dataset]. https://catalog.data.gov/dataset/hiv-aids-diagnoses-by-neighborhood-age-group-and-race-ethnicity
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    Dataset updated
    Mar 18, 2023
    Dataset provided by
    data.cityofnewyork.us
    Description

    These data were reported to the NYC DOHMH by March 31, 2021 This dataset includes data on new diagnoses of HIV and AIDS in NYC for the calendar years 2016 through 2020. Reported cases and case rates (per 100,000 population) are stratified by United Hospital Fund (UHF) neighborhood, age group, and race/ethnicity. Note: - Cells marked "NA" cannot be calculated because of cell suppression or 0 denominator.

  4. U

    United States US: Incidence of HIV: per 1,000 Uninfected Population Aged...

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). United States US: Incidence of HIV: per 1,000 Uninfected Population Aged 15-49 [Dataset]. https://www.ceicdata.com/en/united-states/health-statistics/us-incidence-of-hiv-per-1000-uninfected-population-aged-1549
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    Dataset updated
    Feb 15, 2025
    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, 2007 - Dec 1, 2018
    Area covered
    United States
    Description

    United States US: Incidence of HIV: per 1,000 Uninfected Population Aged 15-49 data was reported at 0.220 Ratio in 2018. This stayed constant from the previous number of 0.220 Ratio for 2017. United States US: Incidence of HIV: per 1,000 Uninfected Population Aged 15-49 data is updated yearly, averaging 0.250 Ratio from Dec 1990 (Median) to 2018, with 29 observations. The data reached an all-time high of 0.290 Ratio in 1990 and a record low of 0.220 Ratio in 2018. United States US: Incidence of HIV: per 1,000 Uninfected Population Aged 15-49 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United States – Table US.World Bank.WDI: Health Statistics. Number of new HIV infections among uninfected populations ages 15-49 expressed per 1,000 uninfected population in the year before the period.; ; UNAIDS estimates.; Weighted average;

  5. T

    United States - Prevalence Of HIV, Total (% Of Population Ages 15-49)

    • tradingeconomics.com
    csv, excel, json, xml
    Updated May 29, 2017
    + more versions
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    TRADING ECONOMICS (2017). United States - Prevalence Of HIV, Total (% Of Population Ages 15-49) [Dataset]. https://tradingeconomics.com/united-states/prevalence-of-hiv-total-percent-of-population-ages-15-49-wb-data.html
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    xml, csv, excel, jsonAvailable download formats
    Dataset updated
    May 29, 2017
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    United States
    Description

    Prevalence of HIV, total (% of population ages 15-49) in United States was reported at 0.4 % in 2021, according to the World Bank collection of development indicators, compiled from officially recognized sources. United States - Prevalence of HIV, total (% of population ages 15-49) - actual values, historical data, forecasts and projections were sourced from the World Bank on June of 2025.

  6. Deaths by HIV disease in the U.S. 1990-2023

    • statista.com
    • ai-chatbox.pro
    Updated May 21, 2025
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    Statista (2025). Deaths by HIV disease in the U.S. 1990-2023 [Dataset]. https://www.statista.com/statistics/184594/deaths-by-hiv-disease-in-the-us-since-1990/
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    Dataset updated
    May 21, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    HIV/AIDS deaths in the U.S. have dropped significantly in recent years. In 1995, the death rate from HIV per 100,000 people was ****. That number has since decreased to *** per 100,000 as of 2023. The reduction in the HIV death rate in the U.S. can be attributed to an increase in access to HIV medications. HIV/AIDS in the U.S. Human immunodeficiency virus (HIV) and acquired immune deficiency syndrome (AIDS) cause a systemic viral infection that damages the immune system. AIDS is a syndrome that is caused by HIV. AIDS is when the immune system is severely weakened by HIV and the body can no longer fight off infections. Among all U.S. states, Georgia, followed by Florida and Louisiana, had the highest rates of new HIV diagnoses in 2022. HIV/AIDS treatments in the U.S. HIV/AIDS treatments include antiretroviral medications to reduce the levels of HIV within the body. The largest funders for HIV/AIDS medications and research are the National Institutes of Health (NIH) and the Ryan White Program. The top HIV drug worldwide, based on revenue generated in 2023 was Biktarvy. Around the world, access to antiretroviral treatment has increased dramatically in recent years, a huge step in reducing the number of HIV-related deaths. There is currently no cure for HIV.

  7. US State Level HIV Cases

    • johnsnowlabs.com
    csv
    Updated Jan 20, 2021
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    John Snow Labs (2021). US State Level HIV Cases [Dataset]. https://www.johnsnowlabs.com/marketplace/us-state-level-hiv-cases/
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    csvAvailable download formats
    Dataset updated
    Jan 20, 2021
    Dataset authored and provided by
    John Snow Labs
    Time period covered
    2017 - 2019
    Area covered
    United States
    Description

    This dataset contains surveillance data on diagnoses of HIV for the United States in estimates rates and numbers for Human Immunodeficiency Virus (HIV) infection diagnosis and stage 3 infection Acquired Immunodeficiency Syndrome (AIDS) as collected by the Centers for Disease Control and Prevention (CDC).

  8. HIV and AIDS in NYC

    • kaggle.com
    Updated Jun 1, 2022
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    Robert Turner (2022). HIV and AIDS in NYC [Dataset]. https://www.kaggle.com/datasets/robertturnerrr/hiv-and-aids-in-nyc/suggestions
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jun 1, 2022
    Dataset provided by
    Kaggle
    Authors
    Robert Turner
    License

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

    Area covered
    New York
    Description

    Context

    The New York City Department of Health and Mental Hygiene publishes mid-year and annual HIV surveillance reports each year. This dataset is taken from these reports and includes data gathered from 2011 to June 30, 2016.

    Content

    This dataset includes HIV infections and AIDS diagnoses, viral suppression in persons living with diagnosed HIV infection (PLWDHI), deaths of those with diagnosed HIV infection, and other statistics from 2011 to 2015 in New York City boroughs.

    Purpose

    The data contained here shows trends in age, gender, and geographic demographics over time for HIV infections in NYC, and this can be used to visualize the prevalence of the virus in the city.

    Acknowledgement

    This data was pulled from NYC's OpenData at https://data.cityofnewyork.us/Health/DOHMH-HIV-AIDS-Annual-Report/fju2-rdad .

  9. d

    DOHMH HIV/AIDS Annual Report

    • catalog.data.gov
    • data.cityofnewyork.us
    • +1more
    Updated Sep 2, 2023
    + more versions
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    data.cityofnewyork.us (2023). DOHMH HIV/AIDS Annual Report [Dataset]. https://catalog.data.gov/dataset/dohmh-hiv-aids-annual-report
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    Dataset updated
    Sep 2, 2023
    Dataset provided by
    data.cityofnewyork.us
    Description

    HIV/AIDS data from the HIV Surveillance Annual Report Data reported to the HIV Epidemiology Program by March 31, 2022. All data shown are for people ages 18 and older. Borough-wide and citywide totals may include cases assigned to a borough with an unknown UHF or assigned to NYC with an unknown borough, respectively. Therefore, UHF totals may not sum to borough totals and borough totals may not sum to citywide totals.""

  10. U

    United States US: Children: 0-14 Living with HIV

    • ceicdata.com
    Updated Nov 27, 2021
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    CEICdata.com (2021). United States US: Children: 0-14 Living with HIV [Dataset]. https://www.ceicdata.com/en/united-states/social-health-statistics/us-children-014-living-with-hiv
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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, 2010 - Dec 1, 2019
    Area covered
    United States
    Description

    United States US: Children: 0-14 Living with HIV data was reported at 2,500.000 Person in 2019. This records a decrease from the previous number of 2,800.000 Person for 2018. United States US: Children: 0-14 Living with HIV data is updated yearly, averaging 3,700.000 Person from Dec 2010 (Median) to 2019, with 10 observations. The data reached an all-time high of 4,700.000 Person in 2010 and a record low of 2,500.000 Person in 2019. United States US: Children: 0-14 Living with HIV data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United States – Table US.World Bank.WDI: Social: Health Statistics. Children living with HIV refers to the number of children ages 0-14 who are infected with HIV.;UNAIDS estimates.;;

  11. United States US: Newly Infected with HIV: Adults: Aged 15+

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). United States US: Newly Infected with HIV: Adults: Aged 15+ [Dataset]. https://www.ceicdata.com/en/united-states/health-statistics/us-newly-infected-with-hiv-adults-aged-15
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    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEIC Data
    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: Newly Infected with HIV: Adults: Aged 15+ data was reported at 37,000.000 Number in 2014. This records a decrease from the previous number of 38,000.000 Number for 2013. United States US: Newly Infected with HIV: Adults: Aged 15+ data is updated yearly, averaging 41,000.000 Number from Dec 2008 (Median) to 2014, with 7 observations. The data reached an all-time high of 44,000.000 Number in 2009 and a record low of 37,000.000 Number in 2014. United States US: Newly Infected with HIV: Adults: Aged 15+ 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. Number of adults (ages 15+) newly infected with HIV.; ; UNAIDS estimates.; ;

  12. U

    United States US: Newly Infected with HIV: Adults (Aged 15+) and Children...

    • ceicdata.com
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    CEICdata.com, United States US: Newly Infected with HIV: Adults (Aged 15+) and Children (Aged 0-14) [Dataset]. https://www.ceicdata.com/en/united-states/health-statistics/us-newly-infected-with-hiv-adults-aged-15-and-children-aged-014
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    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, 2015
    Area covered
    United States
    Description

    United States US: Newly Infected with HIV: Adults (Aged 15+) and Children (Aged 0-14) data was reported at 39,000.000 Number in 2015. This stayed constant from the previous number of 39,000.000 Number for 2014. United States US: Newly Infected with HIV: Adults (Aged 15+) and Children (Aged 0-14) data is updated yearly, averaging 40,500.000 Number from Dec 2008 (Median) to 2015, with 8 observations. The data reached an all-time high of 44,000.000 Number in 2009 and a record low of 39,000.000 Number in 2015. United States US: 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 USA – Table US.World Bank: Health Statistics. Number of adults (ages 15+) and children (ages 0-14) newly infected with HIV.; ; UNAIDS estimates.; ;

  13. i

    HIV/AIDS Indicator Survey 2005 - Guyana

    • catalog.ihsn.org
    • microdata.worldbank.org
    Updated Mar 29, 2019
    + more versions
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    Ministry of Health (2019). HIV/AIDS Indicator Survey 2005 - Guyana [Dataset]. https://catalog.ihsn.org/index.php/catalog/4298
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    Dataset updated
    Mar 29, 2019
    Dataset provided by
    Guyana Responsible Parenthood Association
    Ministry of Health
    Time period covered
    2005
    Area covered
    Guyana
    Description

    Abstract

    The 2005 Guyana HIV/AIDS Indicator Survey (GAIS) is the first household-based, comprehensive survey on HIV/AIDS to be carried out in Guyana. The 2005 GAIS was implemented by the Guyana Responsible Parenthood Association (GRPA) for the Ministry of Health (MoH). ORC Macro of Calverton, Maryland provided technical assistance to the project through its contract with the U.S. Agency for International Development (USAID) under the MEASURE DHS program. Funding to cover technical assistance by ORC Macro and for local costs was provided in their entirety by USAID/Washington and USAID/Guyana.

    The 2005 GAIS is a nationally representative sample survey of women and men age 15-49 initiated by MoH with the purpose of obtaining national baseline data for indicators on knowledge/awareness, attitudes, and behavior regarding HIV/AIDS. The survey data can be effectively used to calculate valuable indicators of the President’s Emergency Plan for AIDS Relief (PEPFAR), the Joint United Nations Program on HIV/AIDS (UNAIDS), the United Nations General Assembly Special Session (UNGASS), the United Nations Children Fund (UNICEF) Orphan and Vulnerable Children unit (OVC), and the World Health Organization (WHO), among others. The overall goal of the survey was to provide program managers and policymakers involved in HIV/AIDS programs with information needed to monitor and evaluate existing programs; and to effectively plan and implement future interventions, including resource mobilization and allocation, for combating the HIV/AIDS epidemic in Guyana.

    Other objectives of the 2005 GAIS include the support of dissemination and utilization of the results in planning, managing and improving family planning and health services in the country; and enhancing the survey capabilities of the institutions involved in order to facilitate the implementation of surveys of this type in the future.

    The 2005 GAIS sampled over 3,000 households and completed interviews with 2,425 eligible women and 1,875 eligible men. In addition to the data on HIV/AIDS indicators, data on the characteristics of households and its members, malaria, infant and child mortality, tuberculosis, fertility, and family planning were also collected.

    Geographic coverage

    National

    Analysis unit

    • Individuals;
    • Households.

    Kind of data

    Sample survey data [ssd]

    Sampling procedure

    The primary objective of the 2005 GAIS is to provide estimates with acceptable precision for important population characteristics such as HIV/AIDS related knowledge, attitudes, and behavior. The population to be covered by the 2005 GAIS was defined as the universe of all women and men age 15-49 in Guyana.

    The major domains to be distinguished in the tabulation of important characteristics for the eligible population are: • Guyana as a whole • The urban area and the rural area each as a separate major domain • Georgetown and the remainder urban areas.

    Administratively, Guyana is divided into 10 major regions. For census purposes, each region is further subdivided in enumeration districts (EDs). Each ED is classified as either urban or rural. There is a list of EDs that contains the number of households and population for each ED from the 2002 census. The list of EDs is grouped by administrative units as townships. The available demarcated cartographic material for each ED from the last census makes an adequate sample frame for the 2005 GAIS.

    The sampling design had two stages with enumeration districts (EDs) as the primary sampling units (PSUs) and households as the secondary sampling units (SSUs). The standard design for the GAIS called for the selection of 120 EDs. Twenty-five households were selected by systematic random sampling from a full list of households from each of the selected enumeration districts for a total of 3,000 households. All women and men 15-49 years of age in the sample households were eligible to be interviewed with the individual questionnaire.

    The database for the recently completed 2002 Census was used as a sampling frame to select the sampling units. In the census frame, EDs are grouped by urban-rural location within the ten administrative regions and they are also ordered in each administrative unit in serpentine fashion. Therefore, this stratification and ordering will be also reflected in the 2005 GAIS sample.

    Based on response rates from other surveys in Guyana, around 3,000 interviews of women and somewhat fewer of men expected to be completed in the 3,000 households selected.

    Several allocation schemes were considered for the sample of clusters for each urban-rural domain. One option was to allocate clusters to urban and rural areas proportionally to the population in the area. According to the census, the urban population represents only 29 percent of the population of the country. In this case, around 35 clusters out of the 120 would have been allocated to the urban area. Options to obtain the best allocation by region were also examined. It should be emphasized that optimality is not guaranteed at the regional level but the power for analysis is increased in the urban area of Georgetown by departing from proportionality. Upon further analysis of the different options, the selection of an equal number of clusters in each major domain (60 urban and 60 rural) was recommended for the 2005 GAIS. As a result of the nonproportionalallocation of the number of EDs for the urban-rural and regional domains, the household sample for the 2005 GAIS is not a self-weighted sample.

    The 2005 GAIS sample of households was selected using a stratified two-stage cluster design consisting of 120 clusters. The first stage-units (primary sampling units or PSUs) are the enumeration areas used for the 2002 Population and Housing Census. The number of EDs (clusters) in each domain area was calculated dividing its total allocated number of households by the sample take (25 households for selection per ED). In each major domain, clusters are selected systematically with probability proportional to size.

    The sampling procedures are more fully described in "Guyana HIV/AIDS Indicator Survey 2005 - Final Report" pp.135-138.

    Mode of data collection

    Face-to-face [f2f]

    Research instrument

    Two types of questionnaires were used in the survey, namely: the Household Questionnaire and the Individual Questionnaire. The contents of these questionnaires were based on model questionnaires developed by the MEASURE DHS program. In consultation with USAID/Guyana, MoH, GRPA, and other government agencies and local organizations, the model questionnaires were modified to reflect issues relevant to HIV/AIDS in Guyana. The questionnaires were finalized around mid-May.

    The Household Questionnaire was used to list all the usual members and visitors in the selected households. For each person listed, information was collected on sex, age, education, and relationship to the head of the household. An important purpose of the Household Questionnaire was to identify women and men who were eligible for the individual interview.

    The Household Questionnaire also collected non-income proxy indicators about the household's dwelling unit, such as the source of water; type of toilet facilities; materials used for the floor, roof and walls of the house; and ownership of various durable goods and land. As part of the Malaria Module, questions were included on ownership and use of mosquito bednets.

    The Individual Questionnaire was used to collect information from women and men age 15-49 years and covered the following topics: • Background characteristics (age, education, media exposure, employment, etc.) • Reproductive history (number of births and—for women—a birth history, birth registration, current pregnancy, and current family planning use) • Marriage and sexual activity • Husband’s background • Knowledge about HIV/AIDS and exposure to specific HIV-related mass media programs • Attitudes toward people living with HIV/AIDS • Knowledge and experience with HIV testing • Knowledge and symptoms of other sexually transmitted infections (STIs) • The malaria module and questions on tuberculosis

    Cleaning operations

    The processing of the GAIS questionnaires began in mid-July 2005, shortly after the beginning of fieldwork and during the first visit of the ORC Macro data processing specialist. Questionnaires for completed clusters (enumeration districts) were periodically submitted to GRPA offices in Georgetown, where they were edited by data processing personnel who had been trained specifically for this task. The concurrent processing of the data—standard for surveys participating in the DHS program—allowed GRPA to produce field-check tables to monitor response rates and other variables, and advise field teams of any problems that were detected during data entry. All data were entered twice, allowing 100 percent verification. Data processing, including data entry, data editing, and tabulations, was done using CSPro, a program developed by ORC Macro, the U.S. Bureau of Census, and SERPRO for processing surveys and censuses. The data entry and editing of the questionnaires was completed during a second visit by the ORC Macro specialist in mid-September. At this time, a clean data set was produced and basic tables with the basic HIV/AIDS indicators were run. The tables included in the current report were completed by the end of November 2005.

    Response rate

    • From a total of 3,055 households in the sample, 2,800 were occupied. Among these households, interviews were completed in 2,608, for a response rate of 93 percent. • A total of 2,776 eligible women were identified and

  14. U

    United States US: Newly Infected with HIV: Adults: Aged 15-49

    • ceicdata.com
    Updated Feb 15, 2025
    + more versions
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    CEICdata.com (2025). United States US: Newly Infected with HIV: Adults: Aged 15-49 [Dataset]. https://www.ceicdata.com/en/united-states/social-health-statistics/us-newly-infected-with-hiv-adults-aged-1549
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    Dataset updated
    Feb 15, 2025
    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, 2010 - Dec 1, 2021
    Area covered
    United States
    Description

    United States US: Newly Infected with HIV: Adults: Aged 15-49 data was reported at 27,000.000 Number in 2021. This records a decrease from the previous number of 28,000.000 Number for 2020. United States US: Newly Infected with HIV: Adults: Aged 15-49 data is updated yearly, averaging 32,000.000 Number from Dec 2010 (Median) to 2021, with 12 observations. The data reached an all-time high of 34,000.000 Number in 2010 and a record low of 27,000.000 Number in 2021. United States US: Newly Infected with HIV: Adults: Aged 15-49 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United States – Table US.World Bank.WDI: Social: Health Statistics. Number of adults (ages 15-49) newly infected with HIV.;UNAIDS estimates.;;This indicator is related to Sustainable Development Goal 3.3.1 [https://unstats.un.org/sdgs/metadata/].

  15. People living with HIV rates by census tract

    • data-sccphd.opendata.arcgis.com
    • hub.arcgis.com
    Updated Feb 23, 2018
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    Santa Clara County Public Health (2018). People living with HIV rates by census tract [Dataset]. https://data-sccphd.opendata.arcgis.com/maps/sccphd::people-living-with-hiv-rates-by-census-tract/about
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    Dataset updated
    Feb 23, 2018
    Dataset provided by
    Santa Clara County Public Health Departmenthttps://publichealth.sccgov.org/
    Authors
    Santa Clara County Public Health
    License

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

    Area covered
    Description

    Geographic distribution of rates of people living with HIV infection, 2016, by census tract, Santa Clara County. Source: Santa Clara County Public Health Department, enhanced HIV/AIDS reporting system (eHARS), data as of 4/30/2017. 2010 U.S. Census

  16. Find Ryan White HIV/AIDS Medical Care Providers

    • datasets.ai
    • healthdata.gov
    • +5more
    21
    Updated Sep 8, 2024
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    U.S. Department of Health & Human Services (2024). Find Ryan White HIV/AIDS Medical Care Providers [Dataset]. https://datasets.ai/datasets/find-ryan-white-hiv-aids-medical-care-providers
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    21Available download formats
    Dataset updated
    Sep 8, 2024
    Dataset provided by
    United States Department of Health and Human Serviceshttp://www.hhs.gov/
    Authors
    U.S. Department of Health & Human Services
    Description

    The Find Ryan White HIV/AIDS Medical Care Providers tool is a locator that helps people living with HIV/AIDS access medical care and related services. Users can search for Ryan White-funded medical care providers near a specific complete address, city and state, state and county, or ZIP code.

    Search results are sorted by distance away and include the Ryan White HIV/AIDS facility name, address, approximate distance from the search point, telephone number, website address, and a link for driving directions.

    HRSA's Ryan White program funds an array of grants at the state and local levels in areas where most needed. These grants provide medical and support services to more than a half million people who otherwise would be unable to afford care.

  17. a

    Persons Living with Diagnosed HIV

    • ph-lacounty.hub.arcgis.com
    • data.lacounty.gov
    • +3more
    Updated Jan 8, 2024
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    County of Los Angeles (2024). Persons Living with Diagnosed HIV [Dataset]. https://ph-lacounty.hub.arcgis.com/datasets/persons-living-with-diagnosed-hiv
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    Dataset updated
    Jan 8, 2024
    Dataset authored and provided by
    County of Los Angeles
    Area covered
    Description

    This indicator provides information about the rate of persons living with HIV (persons per 100,000 population).Human immunodeficiency virus (HIV) infection remains a significant public health concern, with more than 59,000 Los Angeles County residents estimated to be currently living with HIV. Certain communities, such as low-income communities, communities of color, and sexual and gender minority communities, bear a disproportionate burden of this epidemic. The Ending the HIV Epidemic national initiative strives to eliminate the US HIV epidemic by 2030, focusing on four key strategies: Diagnose, Treat, Prevent, and Respond. Achieving this goal requires a collaborative effort involving cities, community organizations, faith-based institutions, healthcare professionals, and businesses. Together, they can create an environment that promotes prevention, reduces stigma, and empowers individuals to safeguard themselves and their partners from HIV. Stakeholders can advance health equity by focusing on the most affected communities and sub-populations.For more information about the Community Health Profiles Data Initiative, please see the initiative homepage.

  18. Descriptive statistics on mortality rates of IDUs living with AIDS per...

    • plos.figshare.com
    xls
    Updated Jun 1, 2023
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    Samuel R. Friedman; Brooke S. West; Enrique R. Pouget; H. Irene Hall; Jennifer Cantrell; Barbara Tempalski; Sudip Chatterjee; Xiaohong Hu; Hannah L. F. Cooper; Sandro Galea; Don C. Des Jarlais (2023). Descriptive statistics on mortality rates of IDUs living with AIDS per 10,000 adult population (age 15–64) and independent variables during pre-HAART and HAART-era periods. [Dataset]. http://doi.org/10.1371/journal.pone.0057201.t002
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    xlsAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Samuel R. Friedman; Brooke S. West; Enrique R. Pouget; H. Irene Hall; Jennifer Cantrell; Barbara Tempalski; Sudip Chatterjee; Xiaohong Hu; Hannah L. F. Cooper; Sandro Galea; Don C. Des Jarlais
    License

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

    Description

    Note: ARDA – Association of Religious Data Archives; BLS – Bureau of Labor Statistics; CDC – Centers for Disease Control and Prevention; FBI – Federal Bureau of Investigation; SAMSHA N-SSATS – Substance Abuse and Mental Health Services National Survey of Substance Abuse Treatment Services. We used intercensal estimates of population aged 15–64 [66], [67].*US AIDS Mortality Surveillance Data for 1991–2006 received by special data request (2009) from the US Department of Health and Human Services, Centers for Disease Control and Prevention, National Center for HIV and TB Prevention.**Estimates of IDUs per 10,000 adult population are estimates of the proportion of the adult population who injected drugs in the prior year.***Gini coefficients are measures of the extent to which distributions of resources within a population would need to change to create equality. Zero represents equality, 1 represents maximum inequality. The household Gini used here presents data on inequality in household incomes.

  19. Communicable Diseases Geographic Distribution Data Package

    • johnsnowlabs.com
    csv
    Updated Jan 20, 2021
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    John Snow Labs (2021). Communicable Diseases Geographic Distribution Data Package [Dataset]. https://www.johnsnowlabs.com/marketplace/communicable-diseases-geographic-distribution-data-package/
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    csvAvailable download formats
    Dataset updated
    Jan 20, 2021
    Dataset authored and provided by
    John Snow Labs
    Description

    This data package contains the state level HIV, tuberculosis, viral hepatitis and STD cases for the United States.

  20. g

    HIV Open Data Project: AIDS Drug Assistance Program (ADAP) Final Grantee...

    • search.gesis.org
    Updated Oct 3, 2013
    + more versions
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    United States Department of Health and Human Services. Health Resources and Services Administration (2013). HIV Open Data Project: AIDS Drug Assistance Program (ADAP) Final Grantee Level Variables (Annual) - Version 1 [Dataset]. http://doi.org/10.3886/ICPSR34894.v1
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    Dataset updated
    Oct 3, 2013
    Dataset provided by
    ICPSR - Interuniversity Consortium for Political and Social Research
    GESIS search
    Authors
    United States Department of Health and Human Services. Health Resources and Services Administration
    License

    https://search.gesis.org/research_data/datasearch-httpwww-da-ra-deoaip--oaioai-da-ra-de450992https://search.gesis.org/research_data/datasearch-httpwww-da-ra-deoaip--oaioai-da-ra-de450992

    Description

    Abstract (en): The AIDS Drug Assistance Program (ADAP) Data Report (ADR) includes two components: the Grantee Report and the Client Report. All ADAPs are required to submit both reports. The Grantee Report is a collection of basic information about the grantee characteristics and policies. It includes a Programmatic Summary section and an Annual Submission section. The Client Report (or client-level data) is a collection of one record for each client enrolled in the ADAP. Each record includes the client's encrypted unique identifier, basic demographic data, and enrollment and certification information. A client's record may also include data about the ADAP-funded insurance and medication received, including the costs of these services, as well as HIV clinical information. The HIV/AIDS Bureau (HAB) currently requires that all ADAPs report aggregate data quarterly using the ADAP Quarterly Report (AQR). However, aggregate data limits HAB's ability to respond to inquiries from Congress and other stakeholders regarding the ADAP program. To address this limitation, HAB has developed a new data reporting system, the ADAP Data Report (ADR). The ADR will enable HAB to evaluate the impact of the ADAP program on a national level. The ADR will allow HAB to characterize the individuals using the program, describe the ADAP-funded services being used, and delineate the costs associated with these services. ADAPs will begin collecting data for the ADR in October 2012. However, because the ADR is new, grantees will continue to submit the AQR until they become accustomed to the ADR and the quality of the information provided through the ADR accurately represents the program. At that time, the AQR will be retired. HAB's goal is to have a client-level data reporting system that provides data on the characteristics of the ADAPs and the clients served with program funds. The ADAP client-level data submitted will be used to: - Monitor the clinical outcomes of clients receiving care and treatment through ADAP; - Monitor the use of ADAP funds for appropriately addressing the HIV/AIDS epidemic in the United States; - Monitor the support provided by ADAP to the most vulnerable, especially minority communities; - Address the needs and concerns of Congress and the Department of Health and Human Services (HHS) concerning the HIV/AIDS epidemic and the RWHAP; and - Monitor the outcomes achieved in response to the National HIV/AIDS Strategy. ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection: Created variable labels and/or value labels.. An ADAP client is any individual who is enrolled in the ADAP, i.e., certified as eligible to receive ADAP services, regardless of whether the individual used ADAP services during the reporting period. During the reporting period, an ADAP client may have: - Received medications and/or insurance assistance; - Been placed on the waiting list; - Been dis-enrolled; or - Been eligible, but not received services for clinical or other reasons. Smallest Geographic Unit: ZIP Code 2013-10-03 This study includes information regarding ADAP grantees. The corresponding client level study is ICPSR 34723. The original study, ICPSR 34723, included client and grantee information. Funding insitution(s): United States Department of Health and Human Services. Health Resources and Services Administration.

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

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Dataset updated
Nov 27, 2021
Dataset provided by
CEIC Data
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;

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