Table 1. Seroprevalence according to sociodemographic characteristics, by age group.

	Sample distribution		Unadjusted		Adjusted for sample design and test validity
	Number	%	Estimate	95%CI	Estimate	95%CI
Age 0–9
Region			0.001		0.001
North	1,041	24.4%	5.4%	4.1–6.4	6.8%	4.9–8.8
Northeast	1,222	28.7%	2.5%	1.7–3.4	3.1%	1.9–4.3
Central-West	512	12.0%	0.8%	0.3–2.0	1.0%	0.0–2.0
Southeast	872	20.5%	0.7%	0.3–1.4	0.8%	0.1–1.5
South	617	14.5%	0.3%	0.1–1.1	0.4%	0.0–1.1
Gender			0.491		0.873
Female	2,028	46.9%	2.3%	1.7–3.0	2.8%	2.0–3.7
Male	2,235	53.1%	2.3%	1.7–3.0	2.9%	2.1–3.8
Wealth quintiles			0.045		0.054
Poorest	1,195	28.0%	3.1%	2.2–4.2	3.9%	2.6–5.3
2nd	983	20.9%	2.1%	1.3–3.3	2.7%	1.4–4.0
3rd	903	21.2%	1.8%	1.0–2.8	2.2%	1.1–3.4
4th	683	16.0%	2.8%	1.7–4.3	3.5%	1.9–5.2
Richest	589	13.8%	1.2%	0.5–2.4	1.4%	0.3–2.6
Ethnicity			0.001		0.001
White	1,528	36.3%	1.0%	0.6–1.6	1.3%	0.6–2.0
Black	329	7.8%	1.8%	0.8–3.9	3.8%	2.8–4.8
Brown	2,209	52.4%	3.0%	2.3–3.7	2.3%	0.3–4.3
Asian	97	2.3%	3.1%	1.0–8.7	4.0%	0.0–8.8
Indigenous	49	1.2%	10.2%	4.4–21.7	13.3%	2.2–24.4
Household size			0.091		0.240
1	0	0.0%	--	--
2	187	4.4%	1.6%	0.5–4.6	2.0%	0.0–4.3
3	996	23.4%	2.1%	1.3–3.2	2.7%	1.5–3.9
4	1,396	32.7%	1.8%	1.2–2.6	2.2%	1.3–3.2
5+	1,684	39.5%	2.9%	2.2–3.8	3.7%	2.6–4.8
All	4,263	100.0%	2.3%	1.8–2.7	2.9%	2.2–3.6
Age 10–19
Region			0.001		0.001
North	1,897	23.6%	4.5%	3.6–5.5	5.6%	4.3–6.9
Northeast	2,554	31.8%	2.0%	1.4–2.5	2.5%	1.7–3.2
Central-West	785	9.8%	0.3%	0.1–0.9	0.3%	0.0–0.8
Southeast	1,629	20.3%	0.2%	0.1–0.6	0.3%	0.0–0.6
South	1,159	14.4%	0.1%	0.02–0.4	0.1%	0.0–0.4
Gender			0.284		0.546
Female	4,189	54.9%	1.9%	1.4–2.3	2.3%	1.7–2.9
Male	3,835	45.1%	1.7%	1.3–2.1	2.1%	1.5–2.6
Wealth quintiles			0.004		0.023
Poorest	1,675	20.9%	2.1%	1.5–2.8	2.6%	1.7–3.5
2nd	1,506	18.8%	2.5%	1.7–3.3	3.1%	2.0–4.2
3rd	1,674	20.9%	1.7%	1.2–3.4	2.2%	1.3–3.0
4th	1,670	20.8%	1.6%	1.0–2.2	1.9%	1.1–2.7
Richest	1,498	18.7%	1.0%	0.6–1.6	1.2%	0.5–1.9
Ethnicity			0.001		0.001
White	2,468	31.2%	1.0%	0.6–1.4	1.2%	0.7–1.7
Black	945	12.0%	2.1%	1.0–2.7	2.6%	2.0–3.2
Brown	4,147	52.5%	1.7%	1.6–2.5	2.1%	1.0–3.2
Asian	217	2.7%	1.4%	0.4–3.9	1.8%	0.0–4.2
Indigenous	124	1.6%	7.3%	3.8–13.2	9.2%	3.3–15.2
Household size			0.301		0.072
1	298	3.7%	0.3%	0.1–1.8	0.4%	0.0–1.6
2	1,087	13.5%	1.8%	1.1–2.8	2.3%	1.2–3.4
3	1,946	24.3%	1.7%	1.2–2.3	2.1%	1.3–2.9
4	2,279	28.4%	1.9%	1.4–2.5	2.4%	1.6–3.2
5+	2,414	30.1%	1.8%	1.3–2.4	2.3%	1.5–3.0
All	8,024	100%	1.8%	1.5–2.1	2.2%	1.8–2.6
Age 20+
Region			0.0001		0.001
North	13,075	17.0%	7.1%	6.6–7.5	8.9%	7.9–9.9
Northeast	23,033	29.9%	3.0%	2.8–3.2	3.8%	3.4–4.3
Central-West	8,496	11.0%	0.4%	0.3–0.6	0.5%
Southeast	19,359	25.1%	0.7%	0.6–0.8	0.9%	0.7–1.1
South	13,112	17.0%	0.2%	0.1–0.3	0.2%	0.1–0.3
Gender			0.390		0.843
Female	45,836	59.5%	2.4%	2.2–2.5	3.0%	2.7–3.3
Male	31,239	40.5%	2.3%	2.2–2.5	2.9%	2.6–3.3
Wealth quintiles			0.001		0.001
Poorest	18,106	23.5%	3.0%	2.7–3.2	3.8%	3.3–4.3
2nd	14,161	18.4%	2.8%	2.5–3.0	3.5%	3.0–4.0
3rd	14,748	19.1%	2.3%	2.1–2.5	2.9%	2.5–3.3
4th	14,909	19.3%	2.2%	1.9–2.4	2.7%	2.3–3.1
Richest	15,143	19.6%	1.4%	1.2–1.6	1.7%	1.5–2.0
Ethnicity			0.001		0.001
White	28,387	37.7%	1.2%	1.0–1.3	1.4%	1.2–1.7
Black	10,030	13.3%	2.6%	2.3–2.9	4.1%	3.6–4.5
Brown	33,732	44.8%	3.2%	3.0–3.4	3.3%	2.8–3.8
Asian	2,132	2.6%	2.2%	1.6–2.8	2.7%	1.9–3.6
Indigenous	1,046	1.4%	5.0%	3.8–6.4	6.3%	4.5–8.1
Household size					0.001
1	17,084	22.2%	2.2%	1.9–2.4	2.7%	2.3–3.1
2	25,221	32.7%	2.1%	1.9–2.2	2.6%	2.3–2.9
3	15,432	21.3%	2.2%	1.9–2.4	2.8%	2.4–3.2
4	10,339	13.4%	2.5%	2.2–2.8	3.2%	2.7–3.6
5+	7,999	10.4%	3.9%	3.4–4.3	4.9%	4.2–5.6
All	77,075	100.0%	2.4%	2.2–2.5	3.0%	2.7–3.3