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As the number of fixed and mobile users increases constantly, the data traffic volumes increase accordingly, presenting a challenge for fifth-generation (5G) mobile networks to accommodate those high demands. Also, different demography classes which represent various expected user densities with different expected data rates, impose practical deployment challenges for 5G mobile networks. In such areas with diverse demography classes, the various number of 5G base stations (BSs) differing in size and capacity must be deployed accordingly. This directly affects the energy requirements of the 5G mobile network, and consequently the energy-efficiency (EE). In this paper, we calculate and compare standardised EE Key Performance Indicator (KPI) metric for the radio part of the simulated 5G mobile network. The analysis of the EE is conducted over four different demography class areas (indoor hotspot, dense …