Background: Nationwide data demonstrating the impact of the COVID-19 pandemic on hemorrhagic stroke outcomes are lacking. Methods: We used the National Inpatient Sample (2016-2020) to identify adults (>=18 years) with primary intracerebral hemorrhage (ICH) or subarachnoid hemorrhage (SAH). We fit segmented logistic regression models to evaluate the differences in the rates of in-hospital mortality between the pre-pandemic (January 2016-February 2020) and pandemic periods (March 2020-December 2020). Multivariable logistic models were used to evaluate the differences in mortality between patients admitted from April to December 2020, with and without COVID-19, and those admitted during a similar period in 2019. Stratified analyses were conducted among patients residing in low and high-income zip codes and among patients with extreme loss of function (E-LoF) and those with minor to major loss of function (MM-LoF). Results: Overall, 309,965 ICH patients (mean age [SD]: 68[14.8], 47% female, 56% low-income) and 112,210 SAH patients (mean age [SD]: 60.2[15.4], 62% female, 55% low-income) were analyzed. Pre-pandemic, ICH mortality was decreasing by ≈1% per month (adjusted odds ratio, 95% confidence interval: 0.99, 0.99-1.00). However, during the pandemic, the overall ICH mortality increased by ≈2% per month (1.02, 1.00-1.02), and by ≈4% per month among low-income patients (1.04, 1.01-1.07). However, there was no change in trend among high-income patients during the pandemic (1.00, 0.97-1.03). Comorbid COVID-19 was significantly associated with higher odds of mortality, overall (ICH: 1.83, 1.33-2.51; SAH: 2.76, 1.68-4.54), and among patients with MM-LoF (ICH: 2.15, 1.12-4.16; SAH: 5.77, 1.57-21.17). Patients with E-LoF and comorbid COVID-19 had similar mortality rates with the 2019 cohort. Conclusion: Sustained efforts are needed to address socioeconomic disparities in healthcare access, quality, and outcomes during public health emergencies.