*Purpose: We sought to assess the suggested associations of chronic kidney disease (CKD) of unknown origin, also known as Mesoamerican Nephropathy, with temperature, ancestry and agriculture.

*Methods: National data was obtained from the United States Census Bureau, Centre for Disease Control, Climatic Data Centre and Bureau of Labor Statistics from 1999 to 2018. Regression models were made in R v.3.6.1.

*Results: Over the studied period, all metrics increased annually, including population size in total, of Hispanic ancestry, and without health insurance; average temperature; prevalences of CKD overall and idiopathic, obesity, diabetes mellitus, hypertension, and agricultural employment (Figure 1). Nonetheless, some co-variates were weakly or not at all correlated with others, particularly average temperature (R² < 0.2). Agricultural employment was moderately associated with overall and idiopathic prevalences of CKD (R² 0.69 and 0.47, respectively, Figure 2). In fact, of included co-variates, idiopathic CKD prevalence was only significantly associated with agricultural employment (p=0.0018). Prevalence of CKD overall was significantly associated with many co-variates, including population size in total (p=3.6 x10^-9), population without health insurance (p=1.2 x10^-10), obesity (p=0.036) and hypertension (p=0.0017).

*Conclusions: Acknowledging the limitations of parsing multiple datasets, this study provides epidemiologic evidence in the United States supporting the association of chronic kidney disease of unknown origin with prevalence of agricultural employment, though not with ancestry or temperature.

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