Table 1. Estimated numbers of cases of HIV/AIDS, by year of diagnosis and selected characteristics, 2004–2007—34 states and 5 U.S. dependent areas with confidential name-based HIV infection reporting
|Year of diagnosis|
|Data for 34 states|
|Age at diagnosis (yr)|
|American Indian/Alaska Native||177||180||163||228|
|Native Hawaiian/Other Pacific Islander||39||43||49||46|
|Male adult or adolescent|
|Male-to-male sexual contact||17,898||18,333||18,894||22,472|
|Injection drug use||3,198||2,990||2,931||3,133|
|Male-to-male sexual contact and injection drug use||1,413||1,308||1,195||1,260|
|High-risk heterosexual contactc||4,167||3,923||4,029||4,551|
|Female adult or adolescent|
|Injection drug use||2,065||1,834||1,729||1,806|
|High-risk heterosexual contactc||7,967||7,852||8,033||9,076|
|Child (<13 yrs at diagnosis)|
|Subtotal for 34 states||37,164||36,640||37,193||42,655|
|Data for U.S. dependent areas||1,234||1,391||1,338||1,429|
Note. These numbers do not represent reported case counts. Rather, these numbers are point estimates, which result from adjustments of reported case counts. The reported case counts have been adjusted for reporting delays and missing risk-factor information, but not for incomplete reporting.
Data include persons with a diagnosis of HIV infection (not AIDS), a diagnosis of HIV infection and a later diagnosis of AIDS, or concurrent diagnoses of HIV infection and AIDS.
See Technical Notes for the list of areas that have had laws or regulations requiring confidential name-based HIV infection reporting since at least 2003.
a Includes Asian/Pacific Islander legacy cases (see Technical Notes).
b Hispanics/Latinos can be of any race.
c Heterosexual contact with a person known to have, or to be at high risk for, HIV infection.
d Includes hemophilia, blood transfusion, perinatal exposure, and risk factor not reported or not identified.
e Includes hemophilia, blood transfusion, and risk factor not reported or not identified.
f Includes persons of unknown race or multiple races and persons of unknown sex. Because column totals were calculated independently of the values for the subpopulations, the values in each column may not sum to the column total.