Child poverty measurement is vital for informing policies and for improving children’s lives. Nevertheless, efforts to measure (child) poverty remain dominated mainly by monetary approaches, and many countries fail to monitor multidimensional child poverty. Using the 2015/2016 Botswana multi-topic household survey, this study developed a child-centred, individual-level and composite measure that offers nationally relevant and context-specific insights into the magnitude and depth of multidimensional child poverty in Botswana. In particular, it did so through the lens of Leave No One Behind (LNOB) by zooming in on demographic, economic and geographical characteristics that may be associated with greater vulnerability or marginalisation using both descriptive and regression analysis. Results point towards a relatively high incidence and depth of multidimensional child poverty in Botswana. Results show that disabled children, orphans, children living in larger families, families headed by unmarried couples and living in rural areas are more likely to be multidimensionally poor.

衡量儿童贫困状况对于制定政策和改善儿童生活至关重要。然而，衡量（儿童）贫困的努力仍然主要由货币方法主导，许多国家未能监测多层面的儿童贫困。本研究使用2015/2016博茨瓦纳多主题家庭调查，制定了一项以儿童为中心，个人层面和综合的测量方法，为博茨瓦纳的多维儿童贫困的规模和深度提供了国家相关和针对具体情况的见解。特别是，它通过使用描述性和回归分析来放大可能与更大的脆弱性或边缘化有关的人口，经济和地理特征，是通过“不留下任何东西”（LNOB）的镜头做到的。结果表明，博茨瓦纳的多维儿童贫困发生率和深度较高。结果表明，残疾儿童，孤儿，大家庭中的孩子，以未婚夫妇为首的家庭和农村地区的家庭更有可能出现多维贫困。