The spatial variations of volatile organic compounds (VOCs) were characterized in the Village of Waterfront South neighborhood (WFS), a "hot spot" for air toxics in Camden, NJ. This was accomplished by conducting "spatial saturation sampling" for 11 VOCs using passive samplers at 22 sites in WFS and 16 sites in Copewood/Davis Streets neighborhood (CDS), an urban reference location. Sampling durations were 24 and 48 hours. For all 3 sampling campaigns (2 in summer and 1 in winter), spatial variations and mean concentrations of toluene, ethylbenzene, and xylenes (TEX) were found significantly higher (p < 0.05) in the "hot spot", WFS, than in CDS, where the spatial distributions of these compounds were relatively uniform. The highest concentrations of methyl tert-butyl ether (MTBE) (maximum of 159 µg/m³) were always found at one site close to a facility in WFS during all 3 sampling campaigns. Poor correlation was found between TEX and MTBE in WFS but high correlation was observed among these species in CDS. These observations indicated significant impact from local stationary sources on the ambient levels of TEX and MTBE in WFS but mobile sources for these pollutants in CDS. The spatial variation of benzene in WFS was found to be marginal higher (p = 0.057) than in CDS during one sampling campaign, but similar in the other two sampling periods. A correlation of R > 0.8 was found between benzene and MTBE in both areas, suggesting benzene being primarily emitted from mobile sources. The low concentrations of chloroform (0.02-0.23 µg/m³) and carbon tetrachloride (0.45-0.51 µg/m³) and homogenous spatial distributions (%RSD < 24%) of these two species indicated contribution from regional background in both WFS and CDS. Proximity analysis results showed that the inverse distances to local roads contributed significantly to the variability (1-41%) of MTBE and BTEX in CDS. In contrast, only the inverse distances to industrial sources were found to be significant predictors for the variability (16-46%) of these compounds in WFS. Wind speed and temperature were found to affect the concentrations and spatial distribution of VOCs significantly. Further, results showed that the sampling at the fixed monitoring site underestimated air pollutant levels in a small community, particularly in a "hot spot" area. The study demonstrated that the "spatial saturation sampling" can provide robust data for conducting accurate assessment of local community air pollution, helping to identify potential sources of concerns, is cost effective, timely and a valuable approach for future air pollution and exposure research in communities.