Does disparity in income and consumption ever incite terrorism in Africa?

The datasets are collated from reputable international organization to analyse the links between inequality (in consumption and income) and terrorism in Africa. The data are for 46 African countries. The details of the datasets consist domter - Domestic terrorism; transter - Transnational terrorism; unter - Unclear terrorism; totter - Total terrorism; gini - Gini coefficient; theil - Theil coefficient; atkin - Atkinson coefficient; palma - Palma ratio; totnat - total natural resources; surface - Surface area(log); polreg - political regime; conflicts - Dummy (1 conflicts, 0 no conflict); trade - Trade openness; and gdppc - GDP per capita.<br>

本数据集整理自权威国际组织，用于分析非洲地区消费与收入不平等与恐怖主义之间的关联。数据集覆盖46个非洲国家。数据集包含以下字段：domter——国内恐怖主义（Domestic terrorism）；transter——跨国恐怖主义（Transnational terrorism）；unter——不明性质恐怖主义（Unclear terrorism）；totter——恐怖主义总计数（Total terrorism）；gini——基尼系数（Gini coefficient）；theil——泰尔指数（Theil coefficient）；atkin——阿特金森指数（Atkinson coefficient）；palma——帕尔玛比率（Palma ratio）；totnat——自然资源总量（total natural resources）；surface——国土面积对数值（Surface area(log)）；polreg——政治制度（political regime）；conflicts——冲突虚拟变量（1代表存在冲突，0代表无冲突）；trade——贸易开放度（Trade openness）；gdppc——人均国内生产总值（GDP per capita）。