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Forest utilization makes a significant economic contribution to the livelihoods of rural households, especially those living in developing countries. This study was conducted to determine the absolute and relative forest income and measure the distributional impact of forest income on economic inequalities among rural households in the Rubi-Tele Hunting Domain (RTHD), Democratic Republic of the Congo (DR Congo). Household socioeconomic data and other qualitative informations were collected using structured household-level surveys, focus group discussions, and key informant interviews. The study used descriptive statistical analysis, Gini coefficient, and Lorenz curve computation. Additionally, the non-parametric alternative Kruskal–Wallis Test was also used. Findings revealed that 89.76% of the households’ sample were involved in forest-based activities. The annual average income from these forest-based activities was estimated at CDF 1,219,951.58 (USD 659.08) per household, contributing 32.46% to total annual household income. Other income sources share constituted 37.09%, 10.04%, 8.30%, 7.63%, 2.41%, and 2.08% from crop, livestock keeping, business activities, fishing, and non-forest environmental activities, paid employment, and other income sources, respectively. There was a significant difference between annual household income in terms of income sources (p < 0.5). Forest income constituted the second most crucial income portfolio after crop income. Bushmeat income share was higher than other forest products income share. However, the proportion of households involved in firewood extraction was substantial (80.70%). Gini coefficient and Lorenz curve analysis proved that forest income helped reduce economic inequality among the sampled households by 11%. Therefore, reducing access to forest would significantly impact rural households’ welfare and could increase income disparities. The present study provides valuable information for developing sustainable forest management policies and strategies to maintain and enhance the economic benefit of forest use without damaging biodiversity conservation.