The spatial statistical analysis of breast cancer incidences across Iraq hasnot been explored in Iraq. This paper aimed to explore the spatial pattern and risk clusters of female breast cancer incidence from 2000 to 2015in Iraq (except the Kurdishregion). To enhance statistical stabilityand to access the changes over time, we split the data according to the geographical district into three periods (2000-2004, 2005-2009, and 2010-2015). The age-standardized incidence rates (ASRs) were calculated using the world standard population. Having obtained estimates ASRs, the global index of spatial autocorrelation (Moran’s 𝐼statistic) was used to assess spatial dependence across districts forASRs. Anselin local Moran’s 𝐼statistic was used to identify spatial outliers. Additionally, we used Getis-Ord 𝐺𝑖∗statistic to detect hotspots and coldspots over entire Iraq that representclusters of districts with significantly high or low ASRs. A total of 44,496 cases were reported in 2000-2015 in Iraq, with an ASR of incidence of (32.81/100,000). The ASR incidence of breast cancer showed a significant average percentage change of 5.40% from2002 to 2015.The spatial autocorrelation analysis showed insignificant positive spatial autocorrelation in2000-2004, and significant positive spatial autocorrelation in2005-2009, and in2010-2015. This study identified fourdistricts as high-risk areas for breast cancer during the two periods 2005-2009 and 2010-2015, including Al-Karkh, Al-Adhamia, Al-Rissafa, and Al-Sadir. This information can assist the allocation of health care resources and expand cancer prevention efforts.