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

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.

Updated 10/6/2022: In the Time/Distance analysis process, points that were found to have been included initially, but with no significant or year-round population were removed. The layer of removed points is also available for viewing. MCNA - Removed Population PointsThe Network Adequacy Standards Representative Population Points feature layer contains 97,694 points spread across California that were created from USPS postal delivery route data and US Census data. Each population point also contains the variables for Time and Distance Standards for the County that the point is within. These standards differ by County due to the County "type" which is based on the population density of the county. There are 5 county categories within California: Rural (<50 people/sq mile), Small (51-200 people/sq mile), Medium (201-599 people/sq mile), and Dense (>600 people/sq mile). The Time and Distance data is divided out by Provider Type, Adult and Pediatric separately, so that the Time or Distance analysis can be performed with greater detail. HospitalsOB/GYN SpecialtyAdult Cardiology/Interventional CardiologyAdult DermatologyAdult EndocrinologyAdult ENT/OtolaryngologyAdult GastroenterologyAdult General SurgeryAdult HematologyAdult HIV/AIDS/Infectious DiseaseAdult Mental Health Outpatient ServicesAdult NephrologyAdult NeurologyAdult OncologyAdult OphthalmologyAdult Orthopedic SurgeryAdult PCPAdult Physical Medicine and RehabilitationAdult PsychiatryAdult PulmonologyPediatric Cardiology/Interventional CardiologyPediatric DermatologyPediatric EndocrinologyPediatric ENT/OtolaryngologyPediatric GastroenterologyPediatric General SurgeryPediatric HematologyPediatric HIV/AIDS/Infectious DiseasePediatric Mental Health Outpatient ServicesPediatric NephrologyPediatric NeurologyPediatric OncologyPediatric OphthalmologyPediatric Orthopedic SurgeryPediatric PCPPediatric Physical Medicine and RehabilitationPediatric PsychiatryPediatric Pulmonology

Romania RO: Incidence of HIV: per 1,000 Uninfected Population Aged 15-24 data was reported at 0.020 Ratio in 2022. This stayed constant from the previous number of 0.020 Ratio for 2021. Romania RO: Incidence of HIV: per 1,000 Uninfected Population Aged 15-24 data is updated yearly, averaging 0.030 Ratio from Dec 1990 (Median) to 2022, with 33 observations. The data reached an all-time high of 0.030 Ratio in 2016 and a record low of 0.010 Ratio in 1994. Romania RO: Incidence of HIV: per 1,000 Uninfected Population Aged 15-24 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Romania – Table RO.World Bank.WDI: Social: Health Statistics. Number of new HIV infections among uninfected populations ages 15-24 expressed per 1,000 uninfected population ages 15-24 in the year before the period.;UNAIDS estimates.;Weighted average;This is an age-disaggregated indicator for Sustainable Development Goal 3.3.1 [https://unstats.un.org/sdgs/metadata/].

BackgroundIn China, the HIV/AIDS epidemic among men who have sex with men (MSM) has been expanding in recent years. Substance abuse in MSM was not well studied as the independent risk factor for HIV and syphilis infection and other sexually transmitted diseases. The present review aimed to determine the correlation between HIV/Syphilis infections and substance abuse and other sexual risk behaviors among MSM.MethodsWe conducted a comprehensive search of PubMed, Web of Science, Embase, Scopus, Chinese National Knowledge Infrastructure, Chinese Wanfang Data, and VIP Chinese Journal Database for relevant articles of quantitative studies published between 2010 and May 31, 2022. Meta-analysis was performed using R software. Pooled estimated of the association-odds ratio, with 95% confidence intervals were calculated using random-effects models stratified by study design. Q statistics and I2 were used to measure the heterogeneity.ResultsOur meta-analysis included 61,719 Chinese MSM from 52 eligible studies. The pooled HIV prevalence rate among substance-abusing MSM was 10.0% (95% CI = 0.08–0.13). Substance abusers were more likely to have a higher prevalence of HIV (OR = 1.59) and syphilis (OR = 1.48) infections than non-substance abusers. Substance abusers were also more likely to seek sexual partners through the internet or social media applications (OR = 1.63), engage in unprotected anal intercourse (UAI) (OR = 1.69), group sex (OR = 2.78), and engage in commercial intercourse (OR = 2.04) compared to non-users. Regarding testing behaviors, substance abusers had a higher proportion of HIV or STI testing in their lifetime (OR = 1.70) compared with non-substance abusers (p < 0.05). They were also more likely to have had more sexual partners (≥2; OR = 2.31) and more likely to have consumed alcohol (OR = 1.49) in the past 6 months.ConclusionsOur study shows the correlation between substance abuse and HIV/Syphilis infection. Eliminating disparities in HIV/Syphilis infection among substance abusing men who have sex with men (MSM) can be achieved if the Chinese government and public health sectors could provide targeted knowledge popularization and diagnosis interventions among high-risk populations.

The Philippines reported about ****** HIV cases, an increase from the previous year. The number of reported HIV cases has gradually increased since 2012, aside from a significant dip in 2020. The state of HIV As the monthly average number of people newly diagnosed with HIV increases, the risk it poses threatens the lives of Filipinos. HIV is a sexually transmitted infection that attacks the body’s immune system, with more males being diagnosed than females. In 2022, the majority of people newly diagnosed with HIV were those between the age of 25 and 34 years, followed by those aged 15 and 24. There is still no cure for HIV and without treatment, it could lead to other severe illnesses such as tuberculosis and cancers such as lymphoma and Kaposi’s sarcoma. However, HIV is now a manageable chronic illness that can be treated with proper medication. What are the leading causes of death in the Philippines? Between January and September 2024, preliminary figures have shown that ischaemic heart disease was the leading cause of death in the Philippines. The prevalence of heart diseases in the nation has been closely attributed to the Filipino diet, which was described as having a high fat, high cholesterol, and high sodium content. In addition, acute respiratory infections and hypertension also registered the highest morbidity rate among leading diseases in the country in 2021.

This file includes HIV estimates for all 29 health districts and the 4 cities for March and December 2021 and September 2022. Estimates include: total population, people living with HIV (PLHIV), HIV prevalence, incidence, new infections, ART coverage, PLHIV who are aware / unaware of their status, HIV cascade estimates for antenatal women. All estimates can be disaggregated by age and sex. Note that these estimates are updated every year, and comparison of previous and current estimates should always be done from within the same annual Naomi file but not compared with previous year’s Naomi estimates. The Naomi model is the official tool used by UNAIDS, PEPFAR and all other countries in the region to generate sub-national HIV estimates for planning, tracking progress, and setting targets. To access and view the 2022 sub-national HIV estimates produced by the Naomi model: Download the "Malawi_2022_district_HIV_estimates_Naomi_model" digest file from our website and save it on your hard-drive. Open the HIV sub-national estimates web-viewer (http://naomi-spectrum.unaids.org/) in your browser Upload the downloaded digest file from your hard-drive to the web-viewer by clicking on the button in the top left corner of the viewer window (“Read naomi_spectrum_digest file”). With a slow internet connection, you may have to confirm that you want to “wait” a few times if your browser shows that the webpage is unresponsive.

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/].

Context

HealthStats compiles an extensive array of health, nutrition, and population statistics gleaned from a diverse array of global sources. Encompassing themes ranging from population dynamics to health financing and disease prevalence, this repository covers a broad spectrum of indicators, including immunization rates, infectious diseases, HIV/AIDS, and population projections. Additionally, HealthStats presents nuanced statistics categorized by wealth quintiles, offering a comprehensive view of societal disparities.

Content

Within this dataset, a compendium of 470 indicators sheds light on critical metrics such as immunization rates, malnutrition prevalence, and vitamin A supplementation across 266 countries worldwide. Spanning a timeframe from 1960 to 2022, this data collection encapsulates yearly statistics, providing a comprehensive historical perspective on health, nutrition, and population dynamics.

Dataset Structure

This dataset (health_nutrition_population_statistics.csv) covering from 1960 up to 2022 includes the following columns:

Questions for Exploration

• Are there unexpected correlations or shifts in indicators that warrant inclusion for a more holistic understanding?
• Is there a discernible relationship between condom use and HIV transmission rates among newborns, and how have these trends evolved over time?
• Identifying countries with the highest iodized salt consumption and tracking changes over time could reveal intriguing patterns. Are there other indicators that correlate significantly with this consumption trend?

Acknowledgment

The primary dataset was retrieved from the World Bank's Data Catalog. I would like to express our sincere appreciation to the World Bank team for providing the core data used in this dataset.

© Image credit: Freepik

BackgroundAlthough HIV testing is helpful for early detection and treatment of HIV, its utilization rate is low among college students in China. Understanding the acceptance and associated factors of HIV testing is the key to improve the detection rate. The purpose of the systematic review was to examine the acceptance and associated factors of HIV testing (including HIV self-testing and HIV counseling and testing services) among college students in China.MethodsThis systematic review was reported following PRISMA guidelines 2020. Electronic sources such as PubMed, Embase, Web of Science, CNKI, CBM, Wanfang Database and VIP Database were searched for relevant studies published before September 2022. The tool by Agency for Healthcare Research and Quality (AHRQ) was used to assess quality for cross-sectional studies. The random-effects and fixed-effect model were employed to estimate the pooled proportions and associated factor of HIV testing acceptance. The Cochrane’s Q statistic and I2 test were used to examine heterogeneity. All the quantitative meta analyses were conducted using STATA version 12 software.ResultsA total of 21 eligible studies with 100, 821 participants were included in the systematic review. The pooled acceptance rate of HIV testing was 68% (95% CI = 60, 76), and varies between regions in China. Male, heterosexual and urban college students had higher HIV testing acceptance. Gender, medical specialty, sexual education, sexual behavior, HIV/AIDS knowledge, perception HIV risk, and previous HIV testing were the factors associated with HIV testing acceptance.ConclusionThe review revealed that most of the college students intend to accept HIV detection, and the proportion of acceptance influenced by different factors. Therefore, the government and universities should implement targeted measures, improve HIV testing services, and promote HIV testing behavior.Systematic review registrationPROSPERO CRD42022367976.

Algeria DZ: Incidence of HIV: per 1,000 Uninfected Population Aged 15-24 data was reported at 0.050 Ratio in 2022. This stayed constant from the previous number of 0.050 Ratio for 2021. Algeria DZ: Incidence of HIV: per 1,000 Uninfected Population Aged 15-24 data is updated yearly, averaging 0.030 Ratio from Dec 1990 (Median) to 2022, with 33 observations. The data reached an all-time high of 0.050 Ratio in 2022 and a record low of 0.010 Ratio in 1997. Algeria DZ: Incidence of HIV: per 1,000 Uninfected Population Aged 15-24 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Algeria – Table DZ.World Bank.WDI: Social: Health Statistics. Number of new HIV infections among uninfected populations ages 15-24 expressed per 1,000 uninfected population ages 15-24 in the year before the period.;UNAIDS estimates.;Weighted average;This is an age-disaggregated indicator for Sustainable Development Goal 3.3.1 [https://unstats.un.org/sdgs/metadata/].

BackgroundIn Zambia, 3.8% of young women and men aged 15–24 are HIV positive. However, like in most developing nations, HIV prevalence is higher among young women than young men (5.6% versus 1.8%). Despite the recognition of the rights of young people to sexual reproductive health (SRH) information and services, adolescent and young people (AYP) still face challenges in accessing healthcare in public health institutions including access to comprehensive knowledge on HIV/AIDs, HIV testing and contraceptives. The overall objective of the study was to collect baseline HIV, SRH and gender based violence (GBV) data at district level to inform the design of interventions targeting adolescent girls and young women (AGYW) aged 10–24 years in 20 districts of Zambia.MethodsA cross-sectional, mixed-methods study was conducted in 20 districts of Zambia with the highest incidence of HIV. Data was collected between August and October 2022 with a total response rate of 92% (12,813/13960), constituting 5979 (46.7%) in-school and 6834 (53.3%) out-of-school participants.ResultsOverall, Mwinilunga, Chinsali, Chisamba and Chembe districts had the highest number of respondents, while Sinazongwe and Mungwi districts contributed the least. The overall age distribution was such that 12.6% (n = 1617) of those interviewed were aged 10 to 14 years, 35.4% (n = 4536) were aged 15–19 years, and 52.0% (n = 6660) were aged 20–24 years. The overall mean age at first sex among AGYW interviewed was 16.6 years which was broken down as follows: 16.2 years for in-school and 16.8 years for out of school. Overall, most of the respondents had first time sex with either their boyfriend (80.4%) or husband (15.6%), with 2.4% of the in-school participants reporting to have had their sexual debut in marriage compared to 21.0% among out-of-school AGYW. Prevalence of HIV was higher in the out-of-school compared to the in-school participants (5.5% vs 2.0%), Similarly, the prevalence of syphilis was higher in the out-of-school than the in-school participants (4.1% vs 1.5%).ConclusionThe study focused on assessing the prevalence and vulnerability of HIV, syphilis, GBV, and SRH services uptake among adolescent girls and young women, and exploring factors affecting girls’ stay-in-school and re-engagement. The study found that HIV and syphilis are still significant public health problems among adolescent girls and young women in Zambia, emphasizing the need for increased efforts to prevent and manage these infections.

Bulgaria BG: Prevalence of HIV: Total: % of Population Aged 15-49 data was reported at 0.100 % in 2022. This stayed constant from the previous number of 0.100 % for 2021. Bulgaria BG: Prevalence of HIV: Total: % of Population Aged 15-49 data is updated yearly, averaging 0.100 % from Dec 1990 (Median) to 2022, with 33 observations. The data reached an all-time high of 0.100 % in 2022 and a record low of 0.100 % in 2022. Bulgaria BG: 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 Bulgaria – Table BG.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;

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;

Afghanistan Prevalence of HIV: Total: % of Population Aged 15-49 data was reported at 0.100 % in 2022. This stayed constant from the previous number of 0.100 % for 2021. Afghanistan Prevalence of HIV: Total: % of Population Aged 15-49 data is updated yearly, averaging 0.100 % from Dec 1990 (Median) to 2022, with 33 observations. The data reached an all-time high of 0.100 % in 2022 and a record low of 0.100 % in 2022. Afghanistan 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 Afghanistan – Table AF.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;

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/].

Iceland IS: Incidence of HIV: per 1,000 Uninfected Population Aged 15-24 data was reported at 0.030 Ratio in 2022. This stayed constant from the previous number of 0.030 Ratio for 2021. Iceland IS: Incidence of HIV: per 1,000 Uninfected Population Aged 15-24 data is updated yearly, averaging 0.030 Ratio from Dec 1990 (Median) to 2022, with 33 observations. The data reached an all-time high of 0.030 Ratio in 2022 and a record low of 0.020 Ratio in 2000. Iceland IS: Incidence of HIV: per 1,000 Uninfected Population Aged 15-24 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Iceland – Table IS.World Bank.WDI: Social: Health Statistics. Number of new HIV infections among uninfected populations ages 15-24 expressed per 1,000 uninfected population ages 15-24 in the year before the period.;UNAIDS estimates.;Weighted average;This is an age-disaggregated indicator for Sustainable Development Goal 3.3.1 [https://unstats.un.org/sdgs/metadata/].

Slovenia SI: Prevalence of HIV: Female: % Aged 15-24 data was reported at 0.100 % in 2022. This stayed constant from the previous number of 0.100 % for 2021. Slovenia SI: Prevalence of HIV: Female: % Aged 15-24 data is updated yearly, averaging 0.100 % from Dec 1990 (Median) to 2022, with 33 observations. The data reached an all-time high of 0.100 % in 2022 and a record low of 0.100 % in 2022. Slovenia SI: Prevalence of HIV: Female: % Aged 15-24 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Slovenia – Table SI.World Bank.WDI: Social: Health Statistics. Prevalence of HIV, female is the percentage of females who are infected with HIV. Youth rates are as a percentage of the relevant age group.;UNAIDS estimates.;Weighted average;In many developing countries most new infections occur in young adults, with young women especially vulnerable.

Liberia LR: Newly Infected with HIV: Adults: Aged 15-24 data was reported at 500.000 Number in 2022. This records a decrease from the previous number of 1,000.000 Number for 2021. Liberia LR: Newly Infected with HIV: Adults: Aged 15-24 data is updated yearly, averaging 1,000.000 Number from Dec 1990 (Median) to 2022, with 33 observations. The data reached an all-time high of 1,700.000 Number in 1990 and a record low of 500.000 Number in 2022. Liberia LR: Newly Infected with HIV: Adults: Aged 15-24 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Liberia – Table LR.World Bank.WDI: Social: Health Statistics. Number of young people (ages 15-24) newly infected with HIV.;UNAIDS estimates.;;This indicator is related to Sustainable Development Goal 3.3.1 [https://unstats.un.org/sdgs/metadata/].