Rate of newly diagnosed HIV infections per 100,000 population, by sex, age and ethnicity

These data present information on the rate (per 100,000 population) of people newly diagnosed with HIV in the UK by year of diagnosis, country of residence and demographic characteristics. Due to the relatively low incidence of HIV in the UK, a rate per 100,000 population is used rather than the UN specified rate per 1,000 population. Since the duration between HIV infection and diagnosis is often unknown, new diagnoses cannot be used as a direct measure of HIV incidence.

Sub-categories

Choose categories from the dropdowns below to see different breakdowns of the data. Some will not be available until a higher level is chosen.

Download Headline CSV Download Source CSV

Download source CSV for disaggregations

Headline data

Rate of newly diagnosed HIV infections per 100,000 population
Year Value GeoCode Observation status Unit multiplier Unit measure
2000 6.7486255025 Undefined Units Rate per 100,000 population
2001 8.685058465 Undefined Units Rate per 100,000 population
2002 10.5717652306 Undefined Units Rate per 100,000 population
2003 12.2156401041 Undefined Units Rate per 100,000 population
2004 12.7438759171 Undefined Units Rate per 100,000 population
2005 13.1245986395 Undefined Units Rate per 100,000 population
2006 12.2001808836 Undefined Units Rate per 100,000 population
2007 11.8397089323 Undefined Units Rate per 100,000 population
2008 11.6152731671 Undefined Units Rate per 100,000 population
2009 10.5444085355 Undefined Units Rate per 100,000 population
2010 10.0845361056 Undefined Units Rate per 100,000 population
2011 9.7511035173 Undefined Units Rate per 100,000 population
2012 9.7182279013 Undefined Units Rate per 100,000 population
2013 9.3314702007 Undefined Units Rate per 100,000 population
2014 9.7187548996 Undefined Units Rate per 100,000 population
2015 9.6313879977 Undefined Units Rate per 100,000 population
2016 8.178460248 Undefined Units Rate per 100,000 population
2017 7.2092421121 Undefined Units Rate per 100,000 population
2018 6.7027367125 Undefined Units Rate per 100,000 population

Source: Public Health England (PHE)

Geographical Area: United Kingdom

Unit of Measurement: Rate per 100,000 population

This table provides metadata for the actual indicator available from UK statistics closest to the corresponding global SDG indicator. Please note that even when the global SDG indicator is fully available from UK statistics, this table should be consulted for information on national methodology and other UK-specific metadata information.

Indicator available

Rate of newly diagnosed HIV infections per 100,000 population, by sex, age and ethnicity
Indicator description

These data present information on the rate (per 100,000 population) of people newly diagnosed with HIV in the UK by year of diagnosis, country of residence and demographic characteristics. Due to the relatively low incidence of HIV in the UK, a rate per 100,000 population is used rather than the UN specified rate per 1,000 population. Since the duration between HIV infection and diagnosis is often unknown, new diagnoses cannot be used as a direct measure of HIV incidence.
Geographical coverage

United Kingdom
Unit of measurement

Rate per 100,000 population
Definitions
Available disaggregations
Calculations

Rate per 100,000 population = count of people newly diagnosed with HIV / (relevant population/100,000)
Other information

Some rates have been suppressed to eliminate the risk of deductive disclosure (numerator <5 and denominator <10,000). Secondary masking has been undertaken where necessary. Where rates have been suppressed no point is shown on the chart, a '-' is shown in the table, and value is left blank in the csv.

For further information and analyses please see the PHE publications 'Trends in new HIV diagnoses and in people receiving HIV- related care in the United Kingdom- data to the end of December 2018', and 'HIV in the UK- towards zero HIV transmissions by 2030, 2019 report'.

Data follows the UN specification for this indicator. This indicator has been identified in collaboration with topic experts.
Data last updated 22 November 2021
Metadata last updated 04 December 2020

This table provides information on metadata for SDG indicators as defined by the UN Statistical Commission. Complete global metadata is provided by the UN Statistics Division.

Indicator name

Number of new HIV infections per 1,000 uninfected population, by sex, age and key populations
Target name

By 2030, end the epidemics of AIDS, tuberculosis, malaria and neglected tropical diseases and combat hepatitis, water-borne diseases and other communicable diseases
Global indicator description
UN designated tier

Tier I
UN custodian agency

The Joint United Nations Programme on HIV/AIDS (UNAIDS)
Link to UN metadata United Nations Sustainable Development Goals metadata for target 3.3 opens in a new window

Source 1

Organisation

Public Health England (PHE)
Periodicity

Annual
Earliest available data

2000
Geographical coverage

United Kingdom
Link to data source HIV - annual data tables opens in a new window
Release date 01 October 2019
Next release

TBC
Statistical classification

Official Statistic
Contact details

HARSQueries@phe.gov.uk
Other information

Source 2

Organisation

Office for National Statistics
Periodicity

Annual
Earliest available data

1991
Geographical coverage

United Kingdom
Link to data source Estimates of the population for the UK, England and Wales, Scotland and Northern Ireland opens in a new window
Release date 24 June 2020
Next release

TBC
Statistical classification

National Statistic
Contact details

pop.info@ons.gov.uk
Other information

Gender and age population estimates - ONS mid-2017 population estimates. Exposure category population estimates - Multi-Parameter Evidence Synthesis (MPES) middle estimate of population size, scaled to the adult (15+) population from ONS mid-2017 population estimates. Ethnicity population estimates - MPES middle estimate of population size, scaled to the all-age population from ONS mid-2017 population estimates.
Back to top