For what it's worth, there are numerous studies that show that race/skin color is more highly correlated with (more predictive of) crime rates than poverty is.
This article links to several of these studies. Click on them at your own risk. As far as I know, no study has found that poverty or income level plays no role in crime rates, but there are fairly consistent correlations between crime and skin color.
I highly recommend
the 2011 study by Templer and Rushton, not only for the findings of that study but for the eye-opening discussion of the findings of many other studies. The abstract and first paragraph:
In 50 U.S. states, we found a positive manifold across 11 measures including IQ, skin color, birth rate, infant mortality, life expectancy, HIV/AIDS, violent crime, and state income with the first principal component accounting for 33% of the variance (median factor loading= .34). The correlation with a composite of total violent crime was higher with skin color (r= .55), a more biologically influenced variable than with GDP (r=−.17), a more culturally influenced variable. These results corroborate and extend those found at the international level using INTERPOL crime statistics and at the county, provincial, and state levels within countries using local statistics. We interpret the cross-cultural consistency from an evolutionary life history perspective in which hierarchically organized traits culminate in a single, heritable, superfactor. Traits need to be genetically organized to meet the trials of life -- survival, growth, and reproduction. We discuss brain size and the g nexus as central to understand individual and group differences and we highlight melanin and skin color as a potentially important new life history variable.
In this paper, we confirm and extend research on the g nexus of inter-correlated variables found within- and between-nations at aggregate levels. As described by Jensen (1998), the g nexus is a network of variables with general mental ability at the center. It has both horizontal and vertical components. The horizontal component includes real-world variables that co-vary and interact with g, such as educational achievement, wealth, health, longevity, job performance, and law-abidingness. The vertical component includes presumed causes of individual differences in g, with a special focus on biological and neuropsychological variables (i.e., in properties of the human brain), and gene-based evolutionary processes.
Templer and Rushton go on to explain the evolutionary hypothesis for regional difference in IQ: the further north ancestral populations migrated out of Africa, the more they were confronted with cognitively demanding problems such as gathering and storing food, making clothes and shelter, and providing for children under the harsh conditions of long winters. They note that “the cold winters theory” is supported by “the 0.62 correlation found between cranial capacities and distance from the equator in 20,000 crania representing 122 ethnically distinguishable populations from every continent (Beals, Smith, & Dodd, 1984).”
The 2008 study they cite on differences in behavior of darker individuals vs. lighter individuals among 20 different species of wild vertebrates is also mind-blowing to me.