Maternal mortality is one of the socio-economic problems and widely considered a serious indicator of the quality of a health. Ethiopia is considered to be one of the top six sub-Saharan countries with severe maternal mortality. The objective of this study was to investigate the effects of the Demographic and Socio-economic determinant factors of maternal mortality in Ethiopia. Data from the 2016 Ethiopia Demographic and Health Survey indicated that the sample of women (15–49) was (n = 10,103). The Bayesian multilevel we were used to explore the major risk factors and regional variations in maternal mortality in Ethiopia. Markov chain Monte Carlo methods with non-informative priors have been applied. The Deviance Information Criterion model selection criteria were used to select the appropriate model. The analysis result, 145 (1.43%) mothers were died due to pregnancy. Using model selection criteria Bayesian multilevel random coefficient was found to be appropriate. With this model, Age of mother, marital status, number of living children, wealth index and Education are found to be the significant determinants of maternal mortality in Ethiopia. The study indicated that there was within and between regional variations in maternal mortality. Inference is the fully Bayesian multilevel model based on recent Markov chain Monte Carlo techniques. The socioeconomic, demographic and environmental determinants included in the study were found to be statistically significant. The result of the Bayesian multilevel model in this study has shown that educational attainment, wealth index, an age of mother, status and number of living children was a significant factor of maternal mortality.

产妇死亡率是社会经济问题之一，被广泛认为是健康质量的重要指标。埃塞俄比亚被认为是撒哈拉以南孕产妇死亡率最高的六个国家之一。这项研究的目的是调查埃塞俄比亚孕产妇死亡率的人口统计学和社会经济决定因素的影响。2016年埃塞俄比亚人口与健康调查的数据显示，女性样本（15-49岁）为（n = 10,103）。我们使用贝叶斯多层次研究来探究埃塞俄比亚孕产妇死亡率的主要危险因素和区域差异。具有非先验先验的马尔可夫链蒙特卡罗方法已被应用。使用“偏差信息准则”模型选择标准来选择适当的模型。分析结果145（1。43％的母亲因怀孕而死亡。使用模型选择标准，发现贝叶斯多级随机系数是合适的。通过这种模型，发现埃塞俄比亚母亲的年龄，婚姻状况，在世子女的数量，财富指数和教育程度是决定孕产妇死亡率的重要因素。研究表明，孕产妇死亡率在区域内部和区域之间存在差异。推论是基于最新马尔可夫链蒙特卡洛技术的完全贝叶斯多层次模型。研究中包括的社会经济，人口和环境决定因素被认为具有统计学意义。该研究中的贝叶斯多层次模型的结果表明，受教育程度，财富指数，母亲的年龄，