Last updated : May, 2017

Status of 90-90-90 by country with available data in public domain

No. Country Year ART Eligibility Criteria (CD4 cells/mm3) Estimated PLHIV (No.) PLHIV Diagnosed (No.) PLHIV Diagnosed (%) PLHIV on ART (No.) PLHIV on ART (%) PLHIV with viral suppression (No.) PLHIV with viral suppression (%)
Argentina 2013 <500 110,000 78,400 71% 52,034 47% 34,342 31%
Armenia 2015 <500* 3,600 1,714 48% 941 26% 638 18%
Australia 2013 All 26,800 23,100 86% 17,700 66% 16,600 62%
Belarus 2014 <200 25,000 15,700 63% 5,181 21% 3,150 13%
Belgium 2014 <500* 17,744 14,977 84% 12,540 71% 11,965 67%
Brazil 2015 All 827,000 715,000 86% 455,000 55% 410,000 50%
Cambodia 2015 <500 72,607 60,336 83% 54,769 75% 50,935 70%
China 2014 <500* 825,000 501,000 61% 295,358 36% 267,447 32%
Colombia 2013 <500 122,953 55,329 45% 40,739 33% 28,279 23%
Cuba 2013 <200 19,626 14,648 75% 8,102 41% 5,898 30%
Denmark 2014 All 5,500 5,000 91% 4,700 85% 4,400 80%
El Salvador 2014 <500 20,874 14,403 69% 6,471 31% 4,592 22%
Estonia 2013 <200 9,200 8,004 87% 2,691 29% 1,748 19%
Ethiopia 2015 <500 729,515 373,933 51%
France 2013 All 153,100 128,300 84% 114,825 75% 104,108 68%
Georgia 2015 All 7,100 4,339 61% 2,685 38% 2,274 32%
Guatemala 2014 <350 47,800 28,537 60% 16,965 35% 8,747 18%
Guyana 2014 <350 9,665 4,295 44% 3,007 31%
Honduras 2014 <500 23,000 12,167 53% 9,752 42% 7,935 35%
Jamaica 2014 <350 29,690 23,915 81% 8,781 30% 6,459 22%
Kazakhstan (15+) 2015 <350 19,838 18,185 92% 6,031 30% 3,377 17%
Kenya 2015 <500 1,366,771 857,472 63% 726,370 53%
Kyrgyzstan (15+) 2015 8,865 4,339 49% 1,470 17% 897 10%
Lao People's Democratic Republic 2014 <200 11,556 4,730 41% 2,787 24% 1,954 17%
Malawi 2015 <500 1,065,491 613,227 58% 521,243 49%
Malaysia 2014 <350 100,000 21,654 22% 19,922 20%
Mauritius 2014 <350* 9,200 5,137 56% 3,206 35% 2,001 22%
Mexico 2015 All 200,000 126,000 63% 118,000 59% 98,000 49%
Mongolia 2014 772 139 18% 126 16% 111 14%
Myanmar 2015 <500 224,794 138,370 62% 106,490 47% 92,449 41%
Namibia 2016 <500 229,631 161,785 70% 143,989 63%
Nepal 2015 <500 39,397 22,267 57% 11,922 30% 10,730 27%
Netherlands 2015 All 22,900 20,083 88% 17,721 77% 16,456 72%
Nicaragua 2014 <350 10,036 7,760 77% 2,935 29% 1,761 18%
Panama 2014 <350 16,565 13,583 82% 8,283 50% 5,301 32%
Paraguay 2014 <350 16,825 12,388 74% 4,707 28% 3,285 20%
Philippines 2014 <200 36,000 22,527 63% 8,481 24% 7,548 21%
Romania 2015 All 14,000 13,766 98% 10,551 75% 5,386 38%
Russia 2013 <200 1,363,330 668,032 49% 156,858 12% 127,054 9%
Rwanda 2015 <500 212,642 156,471 74% 136,292 64%
South Africa 2016 All 7,104,796 3,437,467 48% 2,681,224 38%
Spain 2013-14 All 141,000 115,620 82% 106,370 75% 93,606 66%
Sri Lanka 2015 <500 4,200 1,941 46% 803 19% 707 17%
Suriname 2012 <200* 3,800 3,274 86% 735 19% 478 13%
Swaziland 2016 <500 226,920 151,287 67% 144,412 64% 122,750 54%
Sweden 2015 <350 7,718 6,946 90% 6,605 86% 6,053 78%
Switzerland 2015 All 16,500 13,500 82% 12,300 75% 11,900 72%
Tajikistan (15+) 2015 15,280 5,310 35% 2,323 15% 1,951 13%
Thailand 2015 All 437,700 389,027 89% 272,750 62% 223,372 51%
Uganda 2014 <500 1,500,000 750,896 50% 675,806 45%
Ukraine 2015 <500 220,000 126,604 58% 68,455 31% 53,190 24%
United Kingdom 2015 All 101,200 87,700 87% 83,931 83% 78,936 78%
United States 2012 All 1,218,400 1,062,100 87% 441,422 36% 368,338 30%
Zimbabwe 2015 <500 1,400,000 879,271 63% 723,640 52%
Angola 2014 <350 300,000 68,507 23%
Antigua and Barbuda 2014 <500* 750 254
Bahamas 2014 <350* 6,979 2,212 32%
Bangladesh 2015 <500 9,600 3,485 36% 1,483 15% 1,034 11%
Barbados 2013 <350* 2,147 1,043 49% 571 27%
Bhutan 2015 <500 1,100 460 42% 210 19%
Botswana 2015 <350 392,435 273,904 70%
Burundi 2015 <500 84,000 42,169 50%
Cameroon 2015 <500 683,387 168,249 25%
Cote d'Ivoire 2015 <350 460,000 195,755 43% 147,947 32%
Dominican Republic 2015 <500* 67,544 32,291 48% 18,475 27%
Egypt 2014 <350* 7,200 4,631 64% 1,715 24%
Ghana 2015 <350 270,000 89,113 33%
Haiti 2015 <500 141,269 66,528 47%
India 2015 <500 2,116,581 1,523,481 72% 919,141 43% 818,035 39%
Indonesia 2015 <350 691,076 177,754 26% 63,066 9%
Lesotho 2015 <500 315,002 146,790 47%
Morocco 2013 <350 4,032 3,620 2,586
Nigeria 2016 <500 3,453,157 1,819,250 53% 880,668 26% 713,341 21%
Papua New Guinea 2015 <350 40,148 21,198 53%
Somalia 2013 <350* 26,350 5,581 21% 1,700 6%
South Sudan 2015 <500 193,376 15,715 8%
Tanzania 2014 <500 1,400,000 740,078 53%
Timor-Leste 2015 <500* 542 254 47% 201 37%
Trinidad 2014 <500* 13,000 6,399 49%
Viet Nam 2015 <500 260,236 202,437 78% 106,423 41%
Zambia 2016 All 1,151,201 721,016 63%
Mozambique 2016 All 1,643,065 802,659 49%
Austria 2013 <350 6,527 5,745 88% 4,891 75% 3,718 57%
Germany 2015 All 84,700 72,000 85% 60,700 72% 56,400 67%
Greece 2013 14,200 11,076 78% 9,082 64% 7,357 52%
Italy 2013 All 127,913 115,122 90% 92,097 72% 75,520 59%
Costa Rica 2013 <350 9,250 7,215 78% 5,088 55% 3,515 38%
Maldives 2015 All 23 9 6
Japan 2015 26,670 22,840 86% 18,921 71% 18,756 70%
Albania 2015 <350* 1,400 698 50% 456 33% 144 10%
Bulgaria 2015 <500* 3,543 2,267 64% 824 23% 715 20%
Croatia 2015 All* 1,680 1,097 65% 953 57% 834 50%
Hungary 2015 All* 3,067 2,667 87% 1,423 46% 1,324 43%
Luxembourg 2015 <500* 1,065 927 87% 696 65% 635 60%
Malta 2016 All* 394 295 75% 284 72% 244 62%
Moldova 2015 <500* 17,985 10,213 57% 3,850 21% 2,667 15%
Montenegro 2015 All* 194 147 76% 99 51% 68 35%
Portugal 2014 <500 59,365 41,793 70% 28,020 47% 21,965 37%
Serbia 2014 <350* 3,100 1,956 63% 1,300 42% 1,235 40%
Azerbaijan 2015 <350* 8,798 4,704 53% 2,960 34% 1,542 18%
Czech Republic 2015 All* 2,281 1,616 1,367
Ireland 2015 <350* 6,180 5,253 85% 4,728 77%
Israel 2015 <500* 9,720 7,171 74% 4,928 51%
Latvia 2015 <350* 5,091 1,388
Lithuania 2015 <350* 3,100 2,173 70% 646 21%
Poland 2015-16 <500 35,000 19,915 57% 12,465 36%
Slovenia 2015-16 All* 541 492 406
Uzbekistan 2015 <500* 36,000 30,340 84% 12,600 35% 10,430 29%
Kosovo 2014 <350* 50 14 9

* Reported ART eligibility criteria. For rest of the countries, the ART eligibility criteria are from the published national guidelines.

All percentages were calculated using estimated PLHIV as the denominator.

Click here for Methods

From 2010 to the present, using the Internet we identified 109 national care continua that represented 94% of the 2015 global estimate of people living with HIV. We update the search on a quarterly basis and also incorporate newly published continuum as they become available in the public domain (please send and/or see the website submission tab if you have a new public domain continuum to bring to our attention).

We reviewed the methodology for collecting data on or estimating the following four key steps in the treatment cascade: 1. Estimated number of people living with HIV, 2. Estimated number of people living with HIV diagnosed as HIV-positive, 3. Estimated number of people living with HIV receiving ART, and 4. Estimated number of people living with HIV with suppressed or undetectable viral load.