International Journal of Health Geographics

Appendix 1 Descriptive summary—data

From: A bootstrapping approach for generating an inverse distance weight matrix when multiple observations have an identical location in large health surveys

	Women						Men
	N	Mean	STD		Chi-2		N	Mean	STD		Chi-2
HIV testing	7,289	0.82	0.38			HIV testing	17,273	0.85	0.36
Wealth index	7,289	2.92	1.49			Wealth index	17,273	3.31	1.41
Education level	7,289	1.20	0.69			Education level	17,273	1.18	0.65

	Yes		No				Yes		No
	N	Percent	N	Percent			N	Percent	N	Percent
HIV testing	5,995	82.25	1,294	17.750	< 0.001^a	HIV testing	14,607	84.57	2,666	15.43	<0.001^a
Wealth index						Wealth index
Poorest	1,497	20.54	326	4.47		Poorest	2,114	12.24	342	1.98
Poorer	1,053	14.45	274	3.76		Poorer	2,666	15.43	436	2.52
Middle	1,016	13.94	248	3.40		Middle	2,722	15.76	522	3.02
Richer	1,113	15.27	212	2.91		Richer	3,002	17.38	570	3.30
Richest	1,316	18.05	234	3.21		Richest	4,103	23.75	796	4.61
	5,995	82.25	1,294	17.75	< 0.001		14,607	84.57	2,666	15.43	0.011
Education level						Education level
No education	747	10.25	131	1.80		No education	1,635	9.47	266	1.54
Primary	3,481	47.76	846	11.61		Primary	8,961	51.88	1,740	10.07
Secondary	1,513	20.76	300	4.12		Secondary	3,611	20.91	637	3.69
Higher	254	3.48	17	0.23	< 0.001	Higher	400	2.32	23	0.13	< 0.001

^aThis was estimated using a one sample t-test

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