The electricity network represents an example of an evolving complex system. The first local network consisted of only few components, but within several decades they have evolved into a highly connected continental system. The growth of the network is influenced by various factors such as economy, demography, politics and technological developments. In this paper we follow the growth of the French electricity transmission network from its establishment in 1960 until the year 2000. The data set contains 21 maps (for different years) of the 400KV power lines. We used this data to extract information related to the network's growth rate such as the number of lines, number of lines intersections (nodes) and line's length in each map. Firstly we compare the results data sets with several economic and demographic indicators in order to indentify factors which correlate with the growth rate of the electricity networks. We further eveluate topological properties such as node connectivity degree, information centrality, betweenness centrality and robustness and observe their respective change in the course of time. Our result might be helpful for more efficient and fault tolerant network design.