Table 4.

Error statistics for comparison of P. falciparum populations at risk (PAR) derived from spatial population datasets versus detailed census data.

	LandScan		GPW		GRUMP		UNEP
	RMSE	CCC	RMSE	CCC	RMSE	CCC	RMSE	CCC
Mali	83908	0.9997984	128802	0.9995382	58910	0.9999026	115777	0.999629
Namibia	24868	0.997234	30581	0.9956934	43900	0.9907193	33615	0.9949944
Tanzania	4340872	0.87304	4106729	0.8929462	3514209	0.9195392	4718404	0.8530245

Root mean square error (RMSE) and concordance correlation coefficient (CCC) [33] statistics are shown for comparison of P. falciparum PAR estimates derived from the four spatial population datasets against the estimates derived from the detailed census data for three countries. The lowest RMSEs and highest CCCs for each country are in bold. Here, the spatial population datasets were adjusted to ensure that national population totals matched those provided by the UN [22]. GPW = Gridded Population of the World, GRUMP = Global Rural Urban Mapping Project, UNEP = United Nations Environment Programme Global Population Databases.