Description: Number of new HIV infections per 1,000 uninfected population, by sex, age and key populations
Sub descriptionDistrictSexUnit20102011201220132014201520162017201820192020202120222023
-CountryBothper 1000.85.76.7.68.63.65.62.62.68.55.5.45.47.48
-CountryFemaleper 1000.77.65.6.52.56.61.58.54.46.45.46.41.33.41
-CountryMaleper 1000.93.87.79.83.7.68.66.71.92.65.54.48.62.55
-CorozalBothper 1000.24.26.26.3.32.27.27.31.34.17.35.16.33.26
-Orange WalkBothper 1000.26.34.28.25.15.25.35.2.36.28.33.29.2.24
-BelizeBothper 10001.641.321.431.171.141.151.121.181.251.67.7.81.89
-CayoBothper 1000.63.53.59.5.53.48.48.47.42.55.44.33.43.32
-Stann CreekBothper 10001.311.31.481.09.64.86.51.67.97.48.72.62.54.49
-ToledoBothper 1000.1.22.13.15.21.18.32.17.11.08.24.27.03.27
Age group <1-Bothper 1000.68.54.41.540.55.14.28.14.140.28.140
Age group 1-4-Bothper 1000.16.03.060000.03.030.03.0300
Age group 5-9-Bothper 1000.05.03.02.05.02.020.05000.0200
Age group 10-14-Bothper 1000.05.03.08.03.08.1.05.07.020.020.020
Age group 15-19-Bothper 1000.63.4.28.41.29.24.31.25.17.27.43.19.2.25
Age group 20-24-Bothper 10001.081.31.72.86.8.99.91.66.95.85.75.53.52.89
Age group 25-29-Bothper 10002.041.291.091.09.93.81.981.031.25.89.9.71.77.82
Age group 30-34-Bothper 10001.491.411.47.94.921.521.141.231.461.871.13.89.65
Age group 35-39-Bothper 10001.551.321.481.171.491.071.51.631.231.24.95.74.871.02
Age group 40-44-Bothper 10001.381.4.991.861.441.31.021.331.291.17.48.6.67.94
Age group 45-49-Bothper 10001.61.552.2.911.75.9.8711.48.79.87.941.07.86
Age group 50-54-Bothper 10001.621.981.351.37.661.691.29.72.63.92.78.99.8.47
Age group 55-59-Bothper 10001.271.45.761.861.39.961.29.81.03.75.65.55.99.64
Age group 6--64-Bothper 1000.64.941.53.741.291.11.811.051.4111.09.48.65.62
Age group 60+-Bothper 1000.220.5.69.27.47.46.57.81.37.48.36.31.3
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DATA IDENTIFICATION


Name
Number of new HIV infections per 1,000 uninfected population by age, sex, and key populations
Indicator purpose

The purpose of this indicator is to measure the number of new HIV infections per 1,000 uninfected population, by sex, age and key populations to assess progress towards achieving SDG Target 3.3: ‘By 2030, end the epidemics of AIDS, tuberculosis, malaria and neglected tropical diseases and combat hepatitis, water-borne diseases and other communicable diseases’. This indicator provides essential data on the incidence of new HIV infections, which is critical for understanding the current status of the HIV epidemic, identifying trends in transmission rates, and evaluating the impact of prevention strategies. By monitoring this indicator, policymakers, stakeholders, and organizations can make informed decisions to promote sustainable development and address challenges such as reducing the spread of HIV, increasing access to HIV testing and treatment, and combating stigma and discrimination. This indicator helps to ensure that all populations, including marginalized and underprivileged citizens, are included in efforts to reduce the transmission of HIV, increased access to HIV testing and treatment, and prevention and treatment programs, thereby contributing to the overall objective of sustainable, inclusive, and equitable growth. 

Abstract

This indicator measures the number of new HIV infections per 1,000 uninfected population, by sex, age and key populations to monitor progress towards SDG Target 3.3: ‘By 2030, end the epidemics of AIDS, tuberculosis, malaria and neglected tropical diseases and combat hepatitis, water-borne diseases and other communicable diseases’. It is defined as the number of new HIV infections per 1,000 persons among the uninfected population. The relevance of this indicator lies in its ability to provide critical data on incidence of new HIV infections, which is essential for understanding the dynamics of the HIV epidemic, identifying high-risk populations, and evaluating the effectiveness of existing prevention and treatment programs. The data for this indicator is collected through administrative reports, and it is calculated by the number of new HIV infections per 1,000 uninfected population. By tracking this indicator, stakeholders can gain valuable insights into the current status of the HIV epidemic, identifying trends in transmission rates, and evaluating the impact of prevention strategies, enabling them to make informed decisions to promote sustainable development and address challenges such as reducing the spread of HIV, increasing access to HIV testing and treatment, combating stigma and discrimination.

Data source

Ministry of Health and Wellness (MoHW)

DATA CHARACTERISTICS



Contact organization person
-
Date last updated
29-MAY-2024
Periodicity

Annual

Unit of measure

Number of newly infected persons per 1,000 uninfected population.

Other characteristics

Indicator definition: The number of new HIV infections per 1,000 uninfected population is defined as the number of new HIV infections per 1,000 persons among the uninfected population.
Geographical coverage: National
Data collection method: Administrative reports. 
Data availability: data available from 2010 to 2023.

DATA CONCEPTS and CLASSIFICATIONS



Classification used

N/A

Disaggregation

National, District, and by Age group.

Key statistical concepts

Longitudinal data on individuals newly infected with HIV would be the most accurate source of data to measure HIV incidence, however these data are rarely available for representative populations. Special diagnostic tests in surveys or from health facilities can also be used to obtain data on HIV incidence but these require very large samples to accurately estimate HIV incidence and the latter are also rarely representative. HIV incidence is thus modelled using the Spectrum software. The software incorporates data on HIV prevalence, the number of people on treatment, demographics and other relevant indicators to estimate historical HIV incidence, among other indicators. A full description of the model is available in peer-reviewed articles and in the most recent UNAIDS Global AIDS Update Reports. https://onlinelibrary.wiley.com/toc/17582652/2021/24/S5 The path that ends AIDS: UNAIDS Global AIDS Update 2023 | UNAIDS

Formula
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OTHER ASPECTS



Recommended uses

Policy Development: Use the data to inform and shape policies aimed at improving HIV prevention, treatment, and care services, ensuring resources are allocated effectively to reduce new infections, support those living with HIV, and address the social determinants of health that contribute to the spread of HIV.
Program Planning and Implementation: Design and implement programs to improve access to quality HIV prevention, testing, treatment, and care services, targeting high-risk populations and addressing barriers such as stigma, discrimination, and socioeconomic factors that hinder effective HIV management. 
Monitoring and Evaluation: Track progress towards SDG Target 3.3 and evaluate the effectiveness of HIV/AIDS programs and interventions, using the data to measure outcomes, identify gaps, and make evidence-based adjustments to reduce new HIV infections and improve the overall health and well-being of affected populations. 
International Comparisons: Compare progress in reducing new HIV infections across different countries, identifying best practices and successful strategies that can be adapted and implemented in other regions to enhance global efforts in combating the HIV epidemic. 
Reporting and Accountability: Report progress to stakeholders, including governments and international organizations, to ensure accountability and transparency in achieving SDG Target 3.3.

Limitations
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Other comments

All the metadata shown in this document was gathered from United Nation Statistics Division. The metadata was extracted from https://unstats.un.org/sdgs/metadata/.