A spatially resolved estimate of High Mountain Asia (HMA) glacier mass balances from 2000 to 2016 is presented. Using satellite stereo imagery, the study calculates mass balances for about 92% of HMA's glacierized area. The average region-wide mass balance is -16.3 ± 3.5 Gt yr⁻¹ (-0.18 ± 0.04 m w.e. yr⁻¹), less negative than previous estimates. Regional variations are significant, with the most negative mass balance in Nyainqentanglha (-0.62 ± 0.23 m w.e. yr⁻¹) and the most positive in Kunlun (+0.14 ± 0.08 m w.e. yr⁻¹). The study highlights the heterogeneous nature of glacier mass changes in HMA, providing high-resolution data for model calibration and validation. The results contrast with previous studies in regions like Pamir and Nyainqentanglha, where estimates vary widely. The study also compares its findings with other regional estimates, showing discrepancies in areas like Pamir and Nyainqentanglha. The total contribution of HMA glaciers to sea level rise is estimated at 16.3 ± 3.5 Gt yr⁻¹, which is lower than some previous estimates. The study provides spatially detailed mass balance data for individual glaciers, showing significant variability within regions. The results emphasize the need for caution in extrapolating short-term glacier elevation changes and highlight the importance of high-resolution data for improving glacier mass balance models. The study also assesses uncertainties in mass balance estimates, considering both random and systematic errors. The findings contribute to a better understanding of glacier mass changes in HMA and their impact on sea level rise and hydrology.A spatially resolved estimate of High Mountain Asia (HMA) glacier mass balances from 2000 to 2016 is presented. Using satellite stereo imagery, the study calculates mass balances for about 92% of HMA's glacierized area. The average region-wide mass balance is -16.3 ± 3.5 Gt yr⁻¹ (-0.18 ± 0.04 m w.e. yr⁻¹), less negative than previous estimates. Regional variations are significant, with the most negative mass balance in Nyainqentanglha (-0.62 ± 0.23 m w.e. yr⁻¹) and the most positive in Kunlun (+0.14 ± 0.08 m w.e. yr⁻¹). The study highlights the heterogeneous nature of glacier mass changes in HMA, providing high-resolution data for model calibration and validation. The results contrast with previous studies in regions like Pamir and Nyainqentanglha, where estimates vary widely. The study also compares its findings with other regional estimates, showing discrepancies in areas like Pamir and Nyainqentanglha. The total contribution of HMA glaciers to sea level rise is estimated at 16.3 ± 3.5 Gt yr⁻¹, which is lower than some previous estimates. The study provides spatially detailed mass balance data for individual glaciers, showing significant variability within regions. The results emphasize the need for caution in extrapolating short-term glacier elevation changes and highlight the importance of high-resolution data for improving glacier mass balance models. The study also assesses uncertainties in mass balance estimates, considering both random and systematic errors. The findings contribute to a better understanding of glacier mass changes in HMA and their impact on sea level rise and hydrology.