Table 2. Demographic characteristics and subtypes of 205 infected donors whose HIV genotypes and DRMs were successfully analyzed.

Demographic Characteristics		Chongqing (N = 129)	Urumqi (N = 29)	Guangxi (N = 26)	Luoyang (N = 13)	Mianyang (N = 8)	Total (N = 205)
Age (years/old)	18–30	82 (63.6%)	14 (48.3%)	11 (42.3%)	4 (30.8%)	4 (50%)	105 (56.1%)
	31–50	44 (34.1%)	15 (51.7%)	14 (52.9%)	9 (69.3%)	3 (37.5%)	85 (41.5%)
	>50	3 (2.3%)	0	1 (3.8%)	0	1 (12.5%)	5 (2.4%)
Gender	Male	116 (89.9%)	25 (86.2%)	19 (73.1%)	12 (92.3%)	5 (62.5%)	177 (86.3%)
	Female	13 (10.1%)	4 (13.8%)	7 (26.9%)	1 (7.7%)	3 (37.5%)	28 (13.7%)
Ethnicity	Han	125 (96.9%)	20 (69%)	14 (53.8%)	13 (100%)	7 (87.5%)	179 (87.3%)
	Others	4 (3.1%)	9 (31%)	12 (46.2%)	0	1 (12.5%)	26 (12.7%)
Occupation	Student	18 (14%)	5 (17.2%)	0	2 (15.4%)	1 (12.5%)	26 (12.7%)
	Blue-collar worker	35 (27.1%)	13 (44.8%)	4 (15.4%)	2 (15.4%)	1 (12.5%)	55 (26.8%)
	Farmer	12 (9.3%)	2 (6.9%)	0	4 (30.8%)	1 (12.5%)	19 (9.3%)
	Working at Home	38 (29.5%)	5 (17.2%)	15 (57.7%)	3 (23.1%)	3 (37.5%)	64 (31.2%)
	Others	26 (20.2%)	4 (13.8%)	7 (26.9%)	2 (15.4%)	2 (25%)	41 (20%)
Donation	First-time Donor	87 (67.4%)	23 (79.3%)	17 (65.4%)	6 (46.2%)	4 (50%)	137 (66.8%)
	Repeat Donor	42 (32.6%)	6 (20.7%)	9 (34.6%)	7 (53.8%)	4 (50%)	68 (33.2%)
Education	Bachelor's/Master's	17 (13.2%)	6 (20.7%)	1 (3.8%)	3 (23.1%)	0	27 (13.2%)
	Associate/Technicians	35 (27.1%)	9 (31%)	7 (26.9%)	1 (7.7%)	2 (25%)	54 (26.3%)
	Technician
	High School or below	72 (55.8%)	13 (44.8%)	16 (61.5%)	9 (69.2%)	6 (75%)	116 (56.6%)
	Other/missing	5 (3.9%)	1 (3.4%)	2 (7.7%)	0	0	8 (3.9%)
	Missing
HIV Subtype	CRF07_BC	94 (72.9%)	20 (69%)	2 (7.7%)	4 (30.7%)	6 (75%)	126 (61.5%)
	CRF01_AE	13 (10.1%)	4 (13.8%)	19 (73.1%)	3 (23.1%)	2 (25%)	41 (20%)
	CRF08_BC	13 (10.1%)	0	4 (15.4%)	0	0	17 (8.3%)
	B	6 (4.6%)	3 (10.3%)	1 (3.8%)	3 (23.1%)	0	13 (6.3%)
	01B	3 (2.3%)	2 (6.9%)	0	3 (23.1%)	0	8 (3.9%)