100+ datasets found
  1. Rates of HIV diagnoses in the United States in 2021, by state

    • statista.com
    Updated Sep 12, 2024
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    Statista (2024). Rates of HIV diagnoses in the United States in 2021, by state [Dataset]. https://www.statista.com/statistics/257734/us-states-with-highest-aids-diagnosis-rates/
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    Dataset updated
    Sep 12, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2021
    Area covered
    United States
    Description

    The states with the highest rates of HIV diagnoses in 2021 included Georgia, Louisiana, and Florida. However, the states with the highest number of people with HIV were California, Texas, and Florida. In California, there were around 4,399 people diagnosed with HIV. HIV/AIDS diagnoses The number of diagnoses of HIV/AIDS in the United States has continued to decrease in recent years. In 2021, there were an estimated 35,769 HIV diagnoses in the U.S. down from 38,433 diagnoses in the year 2017. In total, since the beginning of the epidemic in 1981 there have been around 1.25 million diagnoses in the United States. Deaths from HIV Similarly, the death rate from HIV has also decreased significantly over the past few decades. In 2019, there were only 1.4 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 19.1 per 100,000 population in 2020.

  2. d

    HIV/AIDS Diagnoses by Neighborhood, Sex, and Race/Ethnicity

    • catalog.data.gov
    • data.cityofnewyork.us
    • +1more
    Updated Mar 18, 2023
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    data.cityofnewyork.us (2023). HIV/AIDS Diagnoses by Neighborhood, Sex, and Race/Ethnicity [Dataset]. https://catalog.data.gov/dataset/hiv-aids-diagnoses-by-neighborhood-sex-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, sex, and race/ethnicity. Note: - Cells marked "NA" cannot be calculated because of cell suppression or 0 denominator.

  3. Death rate from HIV in the U.S. in 2022, by race/ethnicity

    • statista.com
    Updated Sep 25, 2024
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    Statista (2024). Death rate from HIV in the U.S. in 2022, by race/ethnicity [Dataset]. https://www.statista.com/statistics/731823/hiv-death-rate-united-states-by-ethnicity/
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    Dataset updated
    Sep 25, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2022
    Area covered
    United States
    Description

    In 2022, the death rate from HIV was highest among African Americans, with around 19 deaths per 100,000 population. This statistic shows the death rate from HIV in the U.S. in 2022, by race and ethnicity, per 100,000 population.

  4. T

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

    • tradingeconomics.com
    csv, excel, json, xml
    Updated May 29, 2017
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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 March of 2025.

  5. d

    HIV/AIDS Cases

    • catalog.data.gov
    • data.chhs.ca.gov
    • +1more
    Updated Nov 27, 2024
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    California Department of Public Health (2024). HIV/AIDS Cases [Dataset]. https://catalog.data.gov/dataset/hiv-aids-cases-5805c
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    Dataset updated
    Nov 27, 2024
    Dataset provided by
    California Department of Public Health
    Description

    This data set includes tables on persons living with HIV/AIDS, newly diagnosed HIV cases and all cause deaths in HIV/AIDS cases by gender, age, race/ethnicity and transmission category. In all tables, cases are reported as of December 31 of the given year, as reported by January 9, 2019, to allow a minimum of 12 months reporting delay. Gender is determined by both current gender and sex at birth variables; transgender values are assigned when current gender is identified as "Transgender" or when a discrepancy is identified between a person's sex at birth and their current gender (e.g., cases where sex at birth is "Male" and current gender is "Female" will become Transgender: Male to Female.) Prior to 2003, Asian and Native Hawaiian/Pacific Islanders were classified as one combined group. In order to present these race/ethnicities separately, living cases recorded under this combined classification were split and redistributed according to their expected proportional population representation estimated from post-2003 data.

  6. U

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

    • ceicdata.com
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    CEICdata.com, United States US: Incidence of HIV: per 1,000 Uninfected Population [Dataset]. https://www.ceicdata.com/en/united-states/social-health-statistics/us-incidence-of-hiv-per-1000-uninfected-population
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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, 2010 - Dec 1, 2019
    Area covered
    United States
    Description

    United States US: Incidence of HIV: per 1,000 Uninfected Population data was reported at 0.110 Ratio in 2019. This stayed constant from the previous number of 0.110 Ratio for 2018. United States US: Incidence of HIV: per 1,000 Uninfected Population data is updated yearly, averaging 0.120 Ratio from Dec 2010 (Median) to 2019, with 10 observations. The data reached an all-time high of 0.130 Ratio in 2012 and a record low of 0.110 Ratio in 2019. United States US: Incidence of HIV: per 1,000 Uninfected Population 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 new HIV infections among uninfected populations expressed per 1,000 uninfected population in the year before the period.;UNAIDS estimates.;Weighted average;This is the Sustainable Development Goal indicator 3.3.1 [https://unstats.un.org/sdgs/metadata/].

  7. HIV prevalence in select countries worldwide 2023

    • statista.com
    Updated Jul 29, 2024
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    HIV prevalence in select countries worldwide 2023 [Dataset]. https://www.statista.com/statistics/281397/select-countries-worldwide-hiv-prevalence/
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    Dataset updated
    Jul 29, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    World
    Description

    In 2023, some 1.1 percent of Thailand's population aged between 15 and 49 years was infected with HIV. This statistic describes the HIV prevalence among the adult population of select countries worldwide as of 2023.

  8. i

    Population and AIDS Indicators Survey 2005 - Vietnam

    • catalog.ihsn.org
    • dev.ihsn.org
    • +1more
    Updated Mar 29, 2019
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    National Institute for Hygiene and Epidemiology (NIHE), Ministry of Health (2019). Population and AIDS Indicators Survey 2005 - Vietnam [Dataset]. https://catalog.ihsn.org/index.php/catalog/3548
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    Dataset updated
    Mar 29, 2019
    Dataset provided by
    National Institute for Hygiene and Epidemiology (NIHE), Ministry of Health
    General Statistical Office (GSO)
    Time period covered
    2005
    Area covered
    Vietnam
    Description

    Abstract

    The 2005 Vietnam Population and AIDS Indicator Survey (VPAIS) was designed with the objective of obtaining national and sub-national information about program indicators of knowledge, attitudes and sexual behavior related to HIV/AIDS. Data collection took place from 17 September 2005 until mid-December 2005.

    The VPAIS was implemented by the General Statistical Office (GSO) in collaboration with the National Institute of Hygiene and Epidemiology (NIHE). ORC Macro provided financial and technical assistance for the survey through the USAID-funded MEASURE DHS program. Financial support was provided by the Government of Vietnam, the United States President’s Emergency Plan for AIDS Relief, the United States Agency for International Development (USAID), and the United States Centers for Disease Control and Prevention/Global AIDS Program (CDC/GAP).

    The survey obtained information on sexual behavior, and knowledge, attitudes, and behavior regarding HIV/AIDS. In addition, in Hai Phong province, the survey also collected blood samples from survey respondents in order to estimate the prevalence of HIV. The overall goal of the survey was to provide program managers and policymakers involved in HIV/AIDS programs with strategic information needed to effectively plan, implement and evaluate future interventions.

    The information is also intended to assist policymakers and program implementers to monitor and evaluate existing programs and to design new strategies for combating the HIV/AIDS epidemic in Vietnam. The survey data will also be used to calculate indicators developed by the United Nations General Assembly Special Session on HIV/AIDS (UNGASS), UNAIDS, WHO, USAID, the United States President’s Emergency Plan for AIDS Relief, and the HIV/AIDS National Response.

    The specific objectives of the 2005 VPAIS were: • to obtain information on sexual behavior. • to obtain accurate information on behavioral indicators related to HIV/AIDS and other sexually transmitted infections. • to obtain accurate information on HIV/AIDS program indicators. • to obtain accurate estimates of the magnitude and variation in HIV prevalence in Hai Phong Province.

    Geographic coverage

    National coverage

    Analysis unit

    • Household
    • Women age 15-49
    • Men age 15-49

    Kind of data

    Sample survey data [ssd]

    Sampling procedure

    The sampling frame for the 2005 Vietnam Population and AIDS Indicator Survey (VPAIS) was the master sample used by the General Statistical Office (GSO) for its annual Population Change Survey (PCS 2005). The master sample itself was constructed in 2004 from the 1999 Population and Housing Census. As was true for the VNDHS 1997 and the VNDHS 2002 the VPAIS 2005 is a nationally representative sample of the entire population of Vietnam.

    The survey utilized a two-stage sample design. In the first stage, 251 clusters were selected from the master sample. In the second stage, a fixed number of households were systematically selected within each cluster, 22 households in urban areas and 28 in rural areas.

    The total sample of 251 clusters is comprised of 97 urban and 154 rural clusters. HIV/AIDS programs have focused efforts in the four provinces of Hai Phong, Ha Noi, Quang Ninh and Ho Chi Minh City; therefore, it was determined that the sample should be selected to allow for representative estimates of these four provinces in addition to the national estimates. The selected clusters were allocated as follows: 35 clusters in Hai Phong province where blood samples were collected to estimate HIV prevalence; 22 clusters in each of the other three targeted provinces of Ha Noi, Quang Ninh and Ho Chi Minh City; and the remaining 150 clusters from the other 60 provinces throughout the country.

    Prior to the VPAIS fieldwork, GSO conducted a listing operation in each of the selected clusters. All households residing in the sample points were systematically listed by teams of enumerators, using listing forms specially designed for this activity, and also drew sketch maps of each cluster. A total of 6,446 households were selected. The VPAIS collected data representative of: • the entire country, at the national level • for urban and rural areas • for three regions (North, Central and South), see Appendix for classification of regions. • for four target provinces: Ha Noi, Hai Phong, Quang Ninh and Ho Chi Minh City.

    All women and men aged 15-49 years who were either permanent residents of the sampled households or visitors present in the household during the night before the survey were eligible to be interviewed in the survey. All women and men in the sample points of Hai Phong who were interviewed were asked to voluntarily give a blood sample for HIV testing. For youths aged 15-17, blood samples were drawn only after first obtaining consent from their parents or guardians.

    (Refer Appendix A of the final survey report for details of sample implementation)

    Mode of data collection

    Face-to-face [f2f]

    Research instrument

    Two questionnaires were used in the survey, the Household Questionnaire and the Individual Questionnaire for women and men aged 15-49. The content of these questionnaires was based on the model AIDS Indicator Survey (AIS) questionnaires developed by the MEASURE DHS program implemented by ORC Macro.

    In consultation with government agencies and local and international organizations, the GSO and NIHE modified the model questionnaires to reflect issues in HIV/AIDS relevant to Vietnam. These questionnaires were then translated from English into Vietnamese. The questionnaires were further refined after the pretest.

    The Household Questionnaire was used to list all the usual members and visitors in the selected households. Some basic information was collected on the characteristics of each person listed, including age, sex, relationship to the head of the household, education, basic material needs, survivorship and residence of biological parents of children under the age of 18 years and birth registration of children under the age of 5 years. The main purpose of the Household Questionnaire was to identify women and men who were eligible for the individual interview. The Household Questionnaire also collected information on characteristics of the household’s dwelling unit, such as the source of drinking water, type of toilet facilities, type of material used in the flooring of the house, and ownership of various durable goods, in order to allow for the calculation of a wealth index. The Household Questionnaire also collected information regarding ownership and use of mosquito nets.

    The Individual Questionnaire was used to collect information from all women and men aged 15-49 years and covered the following topics:

    All questionnaires were administered in a face-to-face interview. Because cultural norms in Vietnam restrict open discussion of sexual behavior, there is concern that this technique may contribute to potential under-reporting of sexual activity, especially outside of marriage.

    All aspects of VPAIS data collection were pre-tested in July 2005. In total, 24 interviewers (12 men and 12 women) were involved in this task. They were trained for thirteen days (including three days of fieldwork practice) and then proceeded to conduct the survey in the various urban and rural districts of Ha Noi. In total, 240 individual interviews were completed during the pretest. The lessons learnt from the pretest were used to finalize the survey instruments and logistical arrangements for the survey and blood collection.

    Cleaning operations

    The data processing of the VPAIS questionnaire began shortly after the fieldwork commenced. The first stage of data editing was done by the field editors, who checked the questionnaires for completeness and consistency. Supervisors also reviewed the questionnaires in the field. The completed questionnaires were then sent periodically to the GSO in Ha Noi by mail for data processing.

    The office editing staff first checked that questionnaires of all households and eligible respondents had been received from the field. The data were then entered and edited using CSPro, a software package developed collaboratively between the U.S. Census Bureau, ORC Macro, and SerPRO to process complex surveys. All data were entered twice (100 percent verification). The concurrent processing of the data was a distinct advantage for data quality, as VPAIS staff was able to advise field teams of errors detected during data entry. The data entry and editing phases of the survey were completed by the end of December 2005.

    Response rate

    A total of 6,446 households were selected in the sample, of which 6,346 (98 percent) were found to be occupied at the time of the fieldwork. Occupied households include dwellings in which the household was present but no competent respondent was home, the household was present but refused the interview, and dwellings that were not found. Of occupied households, 6,337 were interviewed, yielding a household response rate close to 100 percent.

    All women and men aged 15-49 years who were either permanent residents of the sampled households or visitors present in the household during the night before the survey were eligible to be interviewed in the survey. Within interviewed households, a total of 7,369 women aged 15-49 were identified as eligible for interview, of whom 7,289 were interviewed, yielding a response rate to the Individual interview of 99 percent among women. The high response rate was also achieved in male interviews. Among the 6,788 men aged 15-49 identified as eligible for interview, 6,707 were successfully interviewed, yielding a response rate of 99

  9. T

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

    • tradingeconomics.com
    csv, excel, json, xml
    Updated May 30, 2017
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    TRADING ECONOMICS (2017). Romania - Prevalence Of HIV, Total (% Of Population Ages 15-49) [Dataset]. https://tradingeconomics.com/romania/prevalence-of-hiv-total-percent-of-population-ages-15-49-wb-data.html
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    csv, json, excel, xmlAvailable download formats
    Dataset updated
    May 30, 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
    Romania
    Description

    Prevalence of HIV, total (% of population ages 15-49) in Romania was reported at 0.1 % in 2022, according to the World Bank collection of development indicators, compiled from officially recognized sources. Romania - Prevalence of HIV, total (% of population ages 15-49) - actual values, historical data, forecasts and projections were sourced from the World Bank on March of 2025.

  10. a

    People living with HIV rates by census tract

    • hub.arcgis.com
    • data-sccphd.opendata.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://hub.arcgis.com/maps/sccphd::people-living-with-hiv-rates-by-census-tract
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    Dataset updated
    Feb 23, 2018
    Dataset authored and provided by
    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

  11. T

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

    • tradingeconomics.com
    csv, excel, json, xml
    Updated May 31, 2017
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    TRADING ECONOMICS (2017). Finland - Prevalence Of HIV, Total (% Of Population Ages 15-49) [Dataset]. https://tradingeconomics.com/finland/prevalence-of-hiv-total-percent-of-population-ages-15-49-wb-data.html
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    csv, xml, json, excelAvailable download formats
    Dataset updated
    May 31, 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
    Finland
    Description

    Prevalence of HIV, total (% of population ages 15-49) in Finland was reported at 0.1 % in 2018, according to the World Bank collection of development indicators, compiled from officially recognized sources. Finland - Prevalence of HIV, total (% of population ages 15-49) - actual values, historical data, forecasts and projections were sourced from the World Bank on March of 2025.

  12. AIDS incidence rate in China 2015-2021

    • statista.com
    Updated Sep 2, 2024
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    Statista (2024). AIDS incidence rate in China 2015-2021 [Dataset]. https://www.statista.com/statistics/860498/aids-incidence-rate-in-china/
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    Dataset updated
    Sep 2, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    China
    Description

    About 4.27 out of 100,000 people in China registered to have AIDS (acquired immune deficiency syndrome) in 2020. The increasing number of AIDS cases in China can be attributed mostly to intravenous drug use, prostitution, and blood donations. AIDS is caused by infection with the human immunodeficiency virus (HIV).

    Global HIV/AIDS epidemic

    Globally, the number of new HIV infections declined significantly over the last decade. According to the estimation from UNAIDS, the virus had infected about 0.7 percent of the total adult population aged between 15 and 49 years in 2021. That year, there were 657 thousand AIDS-related deaths worldwide. Most death cases were registered in African countries, whereas around 21 percent were registered in the Asia and Pacific region.

    Sexually transmitted infections in China

    In China, AIDS ranked eleventh in terms of incidence rate of infectious diseases. However, it remained the deadliest in the group, causing nearly 19 thousand deaths in 2020. Compared to other sexually transmitted infections (STI), AIDS had the lowest incidence rate. Hepatitis B had the highest rate of new cases – about 64.29 out of 100,000 people, followed by syphilis and gonorrhea. It is worth noting that the official data of STI are commonly lower than the actual figures. Lack of STI testing knowledge, low income, and social stigmatization are the main reasons why some patients do not seek medical help when they contract an STI.

  13. a

    Indicator 3.3.1: Number of new HIV infections per 1 000 uninfected...

    • sdgs-amerigeoss.opendata.arcgis.com
    • sdgs.amerigeoss.org
    • +2more
    Updated Sep 9, 2021
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    UN DESA Statistics Division (2021). Indicator 3.3.1: Number of new HIV infections per 1 000 uninfected population by sex and age (per 1 000 uninfected population) [Dataset]. https://sdgs-amerigeoss.opendata.arcgis.com/items/16a4939c88964a4094c9d22d8ff83c43
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    Dataset updated
    Sep 9, 2021
    Dataset authored and provided by
    UN DESA Statistics Division
    Area covered
    Pacific Ocean, North Pacific Ocean
    Description

    Series Name: Number of new HIV infections per 1 000 uninfected population by sex and age (per 1 000 uninfected population)Series Code: SH_HIV_INCDRelease Version: 2021.Q2.G.03 This dataset is the part of the Global SDG Indicator Database compiled through the UN System in preparation for the Secretary-General's annual report on Progress towards the Sustainable Development Goals.Indicator 3.3.1: Number of new HIV infections per 1,000 uninfected population, by sex, age and key populationsTarget 3.3: By 2030, end the epidemics of AIDS, tuberculosis, malaria and neglected tropical diseases and combat hepatitis, water-borne diseases and other communicable diseasesGoal 3: Ensure healthy lives and promote well-being for all at all agesFor more information on the compilation methodology of this dataset, see https://unstats.un.org/sdgs/metadata/

  14. HIV/AIDS yearly statistics in Hong Kong

    • data.gov.hk
    Updated Dec 25, 2019
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    data.gov.hk (2019). HIV/AIDS yearly statistics in Hong Kong [Dataset]. https://data.gov.hk/en-data/dataset/hk-dh-dh_spp-dh-spp-hiv-aids-1984-to-2023-yearly-figures
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    Dataset updated
    Dec 25, 2019
    Dataset provided by
    data.gov.hk
    Area covered
    Hong Kong
    Description

    HIV/AIDS yearly statistics in Hong Kong 1984 - 2023

  15. A

    Azerbaijan AZ: Incidence of HIV: per 1,000 Uninfected Population

    • ceicdata.com
    Updated Apr 15, 2021
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    CEICdata.com (2021). Azerbaijan AZ: Incidence of HIV: per 1,000 Uninfected Population [Dataset]. https://www.ceicdata.com/en/azerbaijan/social-health-statistics/az-incidence-of-hiv-per-1000-uninfected-population
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    Dataset updated
    Apr 15, 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, 2011 - Dec 1, 2022
    Area covered
    Azerbaijan
    Description

    Azerbaijan Incidence of HIV: per 1,000 Uninfected Population data was reported at 0.050 Ratio in 2022. This stayed constant from the previous number of 0.050 Ratio for 2021. Azerbaijan Incidence of HIV: per 1,000 Uninfected Population data is updated yearly, averaging 0.060 Ratio from Dec 1990 (Median) to 2022, with 33 observations. The data reached an all-time high of 0.110 Ratio in 2004 and a record low of 0.010 Ratio in 1993. Azerbaijan Incidence of HIV: per 1,000 Uninfected Population 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 new HIV infections among uninfected populations expressed per 1,000 uninfected population in the year before the period.;UNAIDS estimates.;Weighted average;This is the Sustainable Development Goal indicator 3.3.1 [https://unstats.un.org/sdgs/metadata/].

  16. f

    Data from: Modeling the Marked Presence-Only Data: A Case Study of...

    • tandf.figshare.com
    pdf
    Updated Jun 6, 2023
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    Ian Laga; Xiaoyue Niu; Le Bao (2023). Modeling the Marked Presence-Only Data: A Case Study of Estimating the Female Sex Worker Size in Malawi [Dataset]. http://doi.org/10.6084/m9.figshare.14818313.v2
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    pdfAvailable download formats
    Dataset updated
    Jun 6, 2023
    Dataset provided by
    Taylor & Francis
    Authors
    Ian Laga; Xiaoyue Niu; Le Bao
    License

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

    Area covered
    Malawi
    Description

    Certain subpopulations like female sex workers (FSW), men who have sex with men (MSM), and people who inject drugs (PWID) often have higher prevalence of HIV/AIDS and are difficult to map directly due to stigma, discrimination, and criminalization. Fine-scale mapping of those populations contributes to the progress toward reducing the inequalities and ending the AIDS epidemic. In 2016 and 2017, the PLACE surveys were conducted at 3290 venues in 20 out of the total 28 districts in Malawi to estimate the FSW sizes. These venues represent a presence-only dataset where, instead of knowing both where people live and do not live (presence–absence data), only information about visited locations is available. In this study, we develop a Bayesian model for presence-only data and utilize the PLACE data to estimate the FSW size and uncertainty interval at a1.5×1.5-km resolution for all of Malawi. The estimates can also be aggregated to any desirable level (city/district/region) for implementing targeted HIV prevention and treatment programs in FSW communities, which have been successful in lowering the incidence of HIV and other sexually transmitted infections. Supplementary materials for this article, including a standardized description of the materials available for reproducing the work, are available as an online supplement.

  17. w

    HIV/AIDS Indicator Survey 2005 - Guyana

    • microdata.worldbank.org
    • catalog.ihsn.org
    • +1more
    Updated Jun 16, 2017
    + more versions
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    Guyana Responsible Parenthood Association (2017). HIV/AIDS Indicator Survey 2005 - Guyana [Dataset]. https://microdata.worldbank.org/index.php/catalog/2850
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    Dataset updated
    Jun 16, 2017
    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

  18. L

    Laos LA: Incidence of HIV: per 1,000 Uninfected Population

    • ceicdata.com
    Updated Apr 15, 2021
    + more versions
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    CEICdata.com (2021). Laos LA: Incidence of HIV: per 1,000 Uninfected Population [Dataset]. https://www.ceicdata.com/en/laos/social-health-statistics/la-incidence-of-hiv-per-1000-uninfected-population
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    Dataset updated
    Apr 15, 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, 2011 - Dec 1, 2022
    Area covered
    Laos
    Description

    Laos LA: Incidence of HIV: per 1,000 Uninfected Population data was reported at 0.140 Ratio in 2022. This stayed constant from the previous number of 0.140 Ratio for 2021. Laos LA: Incidence of HIV: per 1,000 Uninfected Population data is updated yearly, averaging 0.150 Ratio from Dec 1990 (Median) to 2022, with 33 observations. The data reached an all-time high of 0.170 Ratio in 2013 and a record low of 0.010 Ratio in 1993. Laos LA: Incidence of HIV: per 1,000 Uninfected Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Laos – Table LA.World Bank.WDI: Social: Health Statistics. Number of new HIV infections among uninfected populations expressed per 1,000 uninfected population in the year before the period.;UNAIDS estimates.;Weighted average;This is the Sustainable Development Goal indicator 3.3.1 [https://unstats.un.org/sdgs/metadata/].

  19. T

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

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Jun 2, 2017
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    TRADING ECONOMICS (2017). Azerbaijan - Prevalence Of HIV, Total (% Of Population Ages 15-49) [Dataset]. https://tradingeconomics.com/azerbaijan/prevalence-of-hiv-total-percent-of-population-ages-15-49-wb-data.html
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    json, xml, excel, csvAvailable download formats
    Dataset updated
    Jun 2, 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
    Azerbaijan
    Description

    Prevalence of HIV, total (% of population ages 15-49) in Azerbaijan was reported at 0.1 % in 2022, according to the World Bank collection of development indicators, compiled from officially recognized sources. Azerbaijan - Prevalence of HIV, total (% of population ages 15-49) - actual values, historical data, forecasts and projections were sourced from the World Bank on March of 2025.

  20. Rates of Persons Living with HIV/AIDS in Washington, D.C., by Ward.

    • plos.figshare.com
    xls
    Updated May 31, 2023
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    Peter J. Hotez (2023). Rates of Persons Living with HIV/AIDS in Washington, D.C., by Ward. [Dataset]. http://doi.org/10.1371/journal.pntd.0000843.t001
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    xlsAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Peter J. Hotez
    License

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

    Area covered
    Washington
    Description

    Rates are among adults and adolescents only in the population. Sources: HIV/AIDS data [30]; population and poverty data [33].

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Statista (2024). Rates of HIV diagnoses in the United States in 2021, by state [Dataset]. https://www.statista.com/statistics/257734/us-states-with-highest-aids-diagnosis-rates/
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Rates of HIV diagnoses in the United States in 2021, by state

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4 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Sep 12, 2024
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
2021
Area covered
United States
Description

The states with the highest rates of HIV diagnoses in 2021 included Georgia, Louisiana, and Florida. However, the states with the highest number of people with HIV were California, Texas, and Florida. In California, there were around 4,399 people diagnosed with HIV. HIV/AIDS diagnoses The number of diagnoses of HIV/AIDS in the United States has continued to decrease in recent years. In 2021, there were an estimated 35,769 HIV diagnoses in the U.S. down from 38,433 diagnoses in the year 2017. In total, since the beginning of the epidemic in 1981 there have been around 1.25 million diagnoses in the United States. Deaths from HIV Similarly, the death rate from HIV has also decreased significantly over the past few decades. In 2019, there were only 1.4 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 19.1 per 100,000 population in 2020.

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