The inequality between genders is a problem virtually in all countries. A comparison among 28 nations of the European Union together with a data set corresponding to a population weighted average of all European Union nations is performed for the years 2006, 2010 and 2017, respectively. In order to compare the nations mutually, six indicators out of the United Nation's Sustainable Development Goal No 5 are scrutinized. Methods of Discrete Mathematics are applied as a tool to perform the comparisons methods. Partial order is an appropriate tool to inspect the role of all these six indicators to compare the nations. It is shown that an aggregation method is possible without the difficult task to introduce specific weights to the single indicators. Beyond this it is assumed that the data are associated with some uncertainty that should be taken into account. As a methodological result, we show that a special partial order is recommendable, the interval order; furthermore, a crude classification is found with Denmark at the top, Germany in the middle field and Czech Republic in a position which requires obviously some improvements. Further, applying an identical analytical methodology the development in gender equality over the period 2006 to 2017 for Denmark, Germany, and the Czech Republic was studied applying the population averaged data for the European Union as a reference point.

性别不平等几乎在所有国家都是一个问题。分别在 2006 年、2010 年和 2017 年对欧盟 28 个国家以及与所有欧盟国家人口加权平均值相对应的数据集进行了比较。为了对国家进行相互比较，对联合国可持续发展目标 5 中的六个指标进行了审查。离散数学方法被用作执行比较方法的工具。偏序是检查所有这六个指标的作用以比较国家的合适工具。结果表明，聚合方法是可能的，而无需为单个指标引入特定的权重。除此之外，假设数据与一些应该考虑的不确定性相关。作为方法论的结果，我们证明了一个特殊的偏序是值得推荐的，即区间序；此外，一个粗略的分类被发现，丹麦处于领先地位，德国处于中间领域，捷克共和国处于明显需要一些改进的位置。此外，应用相同的分析方法，研究了丹麦、德国和捷克共和国在 2006 年至 2017 年期间性别平等的发展，并应用欧盟的人口平均数据作为参考点。德国在中场和捷克共和国的位置显然需要一些改进。此外，应用相同的分析方法，研究了丹麦、德国和捷克共和国在 2006 年至 2017 年期间性别平等的发展，并应用欧盟的人口平均数据作为参考点。德国在中场和捷克共和国的位置显然需要一些改进。此外，应用相同的分析方法，研究了丹麦、德国和捷克共和国在 2006 年至 2017 年期间性别平等的发展，并应用欧盟的人口平均数据作为参考点。