Factors associated with access to condoms and sources of condoms during the COVID-19 pandemic in South Africa

Table 1 Characteristics distribution of respondent’s access to condom and source of condom

Variable n = 5304	Weighted Percentage (%)	Access to condom		χ2 p-value	Preferred source		p-value (χ²)
Age		No	Yes	0.79	Private	Public	p < 0.05
15–24	22.59	76.48	23.52		18.19	81.81
25–34	34.37	77.99	22.01		28.94	71.06
35 & above	43.04	77.88	22.41		29.13	70.87
Population group				p < 0.05			p < 0.001
African/Black	83.07	75.88	24.12		23.30	76.70
Coloured	8.80	82.97	17.03		31.45	68.55
Others	8.14	89.41	10.59		91.31	8.69
Sex				0.38			0.13
Male	48.66	78.39	21.61		29.86	70.14
Female	51.34	76.83	23.17		23.50	76.50
Province				p < 0.001			p < 0.05
Western Cape	10.69	83.66	16.34		31.68	68.32
Eastern Cape	11.42	84.51	15.49		27.81	72.19
Northern Cape	2.85	77.75	22.25		46.79	53.21
Free State	5.94	73.32	26.68		22.55	77.45
KwaZulu-Natal	18.18	62.56	37.44		18.27	81.73
North West	4.78	81.27	18.73		19.55	80.45
Gauteng	27.39	82.79	17.21		38.57	61.43
Mpumalanga	9.00	70.79	29.12		24.20	75.08
Limpopo	9.76	83.40	16.60		22.01	77.99
Dwelling Type				0.14			p < 0.01
A Flat House	78.44	78.16	21.84		29.36	70.64
Traditional House	7.68	71.32	28.68		11.76	88.24
Informal settlements & others	13.88	77.96	22.04		20.87	79.13
Employment				0.75			p < 0.001
Unemployed	50.42	73.31	22.69		17.32	82.68
Employed	49.58	77.90	22.10		36.01	63.99
Wealth quintile				p < 0.01			p < 0.001
Lower quintile	59.37	76.79	23.21		23.60	76.40
2nd quintile	8.56	77.24	22.76		10.83	89.17
3rd quintile	3.82	84.94	15.06		18.60	81.40
4th quintile	8.10	71.34	28.66		14.90	85.10
Upper quintile	20.16	81.27	18.73		53.31	46.69
Educational level				0.10			p < 0.001
No Education & Primary education	6.19	71.66	28.34		7.11	92.89
Secondary education & above	93.81	78.00	22.00		28.11	71.89

ISSN: 2049-3258