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Indonesia

Indonesia's national reporting system is not publicly reachable, so the country appears through the aggregators. Alongside them sits a community-led monitoring feed from sentinel facilities, which records what service users report about stockouts, interruptions, staffing and out-of-pocket cost. It is a small sample and is not nationally representative.

570,000
People living with HIV, 2024
WHO Global Health Observatory
41.0%
On antiretroviral treatment, 2024
WHO Global Health Observatory
$3.0m
United States HIV disbursements, 2026
ForeignAssistance.gov
$36.1m
External HIV financing, all donors, 2024
OECD Creditor Reporting System
External HIV financing
OECD CRS · ForeignAssistance.gov
$-50m$0$50m200120042007201020132016201920222025$36.1m$9.9m$26.0m$3.0m
  • All donors
  • United States, OECD record
  • The Global Fund
  • United States, self-reported
YearAll donorsUnited States, OECD recordThe Global FundUnited States, self-reported
2001 — — — $1.9m
2002 $2.5m $926k — $5.1m
2003 $13.4m $8.4m $936k $8.0m
2004 $17.4m $9.1m $1.6m $11.2m
2005 $48.7m $9.1m $9.9m $9.7m
2006 $55.1m $8.2m $15.7m $8.4m
2007 $32.3m $9.4m — $8.8m
2008 $35.1m $9.1m $10.9m $9.4m
2009 $52.6m $9.2m $21.7m $9.2m
2010 $43.6m $4.0m $25.9m $4.9m
2011 $58.4m $6.6m $33.7m $5.8m
2012 $59.7m $10.6m $22.8m $10.5m
2013 $66.2m $10.2m $38.6m $10.0m
2014 $46.8m $10.1m $18.4m $10.1m
2015 $40.2m $8.7m $18.1m $9.8m
2016 $40.1m $8.1m $27.1m $8.9m
2017 $80.4m $9.9m $70.0m $9.7m
2018 $33.9m $11.0m $19.6m $8.6m
2019 $34.4m $8.2m $25.5m $8.2m
2020 $36.5m $8.3m $26.4m $7.9m
2021 $48.6m $14.0m $33.9m $-25.2m
2022 $28.0m $10.0m $17.5m $14.6m
2023 $75.4m $10.0m $63.0m $9.5m
2024 $36.1m $9.9m $26.0m $10.6m
2025 — — — $6.6m
2026 — — — $3.0m°

26 rows, as drawn above. A value marked ° comes from a reporting period that is still open or that the source marks as incomplete. Values are rounded for reading; the download carries them unrounded.

Disbursements reported for this country. The OECD record and the United States self-reported record are drawn separately; they cover the same flow but are filed on different calendars. The point at 2026 is drawn from a reporting period that is still open or that the source marks as incomplete, and is shown as an open ring. Do not read it as a fall.

People living with HIV and people on treatment
UNAIDS AIDSinfo
0200k400k600k200020032006200920122015201820212024570,000230,000
  • People living with HIV
  • People on treatment
YearPeople living with HIVPeople living with HIV (lower)People living with HIV (upper)People on treatment
2000 42,000 37,000 47,000 —
2001 74,000 66,000 82,000 —
2002 110,000 100,000 130,000 —
2003 150,000 140,000 170,000 —
2004 190,000 170,000 210,000 —
2005 230,000 210,000 260,000 —
2006 280,000 250,000 310,000 —
2007 320,000 280,000 350,000 —
2008 350,000 320,000 390,000 —
2009 390,000 350,000 420,000 —
2010 420,000 380,000 460,000 20,000
2011 450,000 410,000 490,000 25,000
2012 480,000 430,000 520,000 31,000
2013 500,000 450,000 540,000 38,000
2014 520,000 470,000 560,000 50,000
2015 530,000 480,000 580,000 63,000
2016 540,000 490,000 590,000 78,000
2017 550,000 500,000 600,000 91,000
2018 560,000 510,000 610,000 110,000
2019 560,000 510,000 610,000 130,000
2020 570,000 520,000 620,000 140,000
2021 570,000 520,000 620,000 150,000
2022 570,000 520,000 620,000 160,000
2023 570,000 520,000 620,000 180,000
2024 570,000 520,000 620,000 230,000

25 rows, as drawn above. Values are rounded for reading; the download carries them unrounded.

Modelled estimates. The shaded band is the published uncertainty interval around the number of people living with HIV; a point estimate on its own would overstate what is known.

The treatment cascade
UNAIDS AIDSinfo
0%20%40%2010201220142016201820202022202441.0%
  • On treatment
YearOn treatment
2010 5.0%
2011 6.0%
2012 7.0%
2013 8.0%
2014 10.0%
2015 12.0%
2016 14.0%
2017 16.0%
2018 19.0%
2019 22.0%
2020 25.0%
2021 27.0%
2022 29.0%
2023 31.0%
2024 41.0%

15 rows, as drawn above. Values are rounded for reading; the download carries them unrounded.

Each figure is a share of all people living with HIV, so the three lines are on one denominator and can be read against each other. Suppression here is community viral suppression, not the narrower third target.

What service users reported, 2026
CLM Asia · sentinel facilities
0%50%100%service user knows own viral load98.6%facility opens and closes on time95.2%enough staff to meet service-user 93.3%psychosocial support available for70.9%paid out of pocket for medicines/t14.6%faced stigma/discrimination at fac0.7%left facility without ARV/OI due t0.2%
Question put to service usersValue
service user knows own viral load 98.6%
facility opens and closes on time 95.2%
enough staff to meet service-user needs 93.3%
psychosocial support available for PLHIV 70.9%
paid out of pocket for medicines/tests (last 6mo) 14.6%
faced stigma/discrimination at facility (last 6mo) 0.7%
left facility without ARV/OI due to stockout (last 3mo) 0.2%

7 rows, as drawn above. Values are rounded for reading; the download carries them unrounded.

Pooled responses from service users at a small number of facilities in the Jakarta area. This is a sentinel signal, not a national estimate, and the direction that counts as bad differs by question.

Sources behind these figures

449 rows

SourceTypeRowsIndicators YearsRead fromRetrieved
UNAIDS AIDSinfo Modelled estimate 159 11 2000–2024 aidsinfo.unaids.org 2026-07-20
WHO Global Health Observatory Modelled estimate 100 4 2000–2024 ghoapi.azureedge.net 2026-07-20
OECD Creditor Reporting System Expenditure account 67 3 2002–2024 sdmx.oecd.org 2026-07-20
World Bank Open Data Modelled estimate 51 2 2000–2025 api.worldbank.org 2026-07-20
CLM Asia Community-led monitoring 30 8 2023–2026 data.clm-asia.org 2026-07-20
ForeignAssistance.gov Expenditure account 26 1 2001–2026 foreignassistance.gov 2026-07-20
PEPFAR Panorama Spotlight Programme record 16 2 2018–2025 data.pepfar.gov 2026-07-20

Indicators held

24 of 31

IndicatorDomainUnitRows YearsSourcesMost recent value
Country-reported HIV expenditure, all sources Financing USD 9 2012–2022 UNAIDS AIDSinfo $157.0m (2022)
External HIV financing (all donors, ODA) Financing USD 23 2002–2024 OECD Creditor Reporting System $36.1m (2024)
External HIV financing from the United States (ODA) Financing USD 49 2001–2026 ForeignAssistance.gov, OECD Creditor Reporting System $3.0m (2026)
Global Fund HIV disbursements to the country Financing USD 21 2003–2024 OECD Creditor Reporting System $26.0m (2024)
% of ALL PLHIV who are virally suppressed Treatment cascade percent 2 2023–2024 UNAIDS AIDSinfo 38.0% (2024)
% of PLHIV on ART (2nd 95, PLHIV base) Treatment cascade percent 45 2000–2024 UNAIDS AIDSinfo, WHO Global Health Observatory 32.0% (2024)
% of PLHIV who know their status (1st 95) Treatment cascade percent 5 2024 UNAIDS AIDSinfo 76.0% (2024)
Number newly diagnosed HIV-positive (PEPFAR MER HTS_TST_POS) Treatment cascade count 8 2018–2025 PEPFAR Panorama Spotlight 1,244 (2025)
Number of people on ART (PEPFAR MER TX_CURR) Treatment cascade count 23 2010–2025 PEPFAR Panorama Spotlight, UNAIDS AIDSinfo 51,428 (2025)
AIDS-related deaths (all ages) Epidemic estimates count 50 2000–2024 UNAIDS AIDSinfo, WHO Global Health Observatory 24,000 (2024)
HIV prevalence among a key population Epidemic estimates percent 5 2024 UNAIDS AIDSinfo 25.0% (2024)
HIV prevalence, ages 15-49 Epidemic estimates percent 50 2000–2024 UNAIDS AIDSinfo, World Bank Open Data 0.4% (2024)
New HIV infections (all ages) Epidemic estimates count 50 2000–2024 UNAIDS AIDSinfo, WHO Global Health Observatory 25,000 (2024)
People living with HIV (all ages) Epidemic estimates count 50 2000–2024 UNAIDS AIDSinfo, WHO Global Health Observatory 570,000 (2024)
People receiving PrEP Prevention and outreach count 3 2022–2024 UNAIDS AIDSinfo 40,000 (2024)
CLM: enough staff to meet service-user needs Service access percent 4 2023–2026 CLM Asia 93.3% (2026)
CLM: ever stopped antiretroviral treatment Service access percent 2 2023–2024 CLM Asia 11.9% (2024)
CLM: faced stigma/discrimination at facility (last 6mo) Service access percent 4 2023–2026 CLM Asia 0.7% (2026)
CLM: facility opens and closes on time Service access percent 4 2023–2026 CLM Asia 95.2% (2026)
CLM: left facility without ARV/OI due to stockout (last 3mo) Service access percent 4 2023–2026 CLM Asia 0.2% (2026)
CLM: paid out of pocket for medicines/tests (last 6mo) Service access percent 4 2023–2026 CLM Asia 14.6% (2026)
CLM: psychosocial support available for PLHIV Service access percent 4 2023–2026 CLM Asia 70.9% (2026)
CLM: service user knows own viral load Service access percent 4 2023–2026 CLM Asia 98.6% (2026)
Total population Population denominators count 26 2000–2025 World Bank Open Data 285,721,236 (2025)

Every row shown here is in the panel download, with its source URL and retrieval date attached. See Data.