Gendered cities: Studying urban gender bias through street names

Abstract

This paper uses text analysis to measure gender bias in cities through the use of street names. Focusing on the case of Spain, we collect data on 15 million street names to analyze gender inequality in urban toponyms. We calculate for each Spanish municipality and each year from 2001 to 2020 a variable measuring the percentage of streets with female names over the total number of streets with male and female names. Our results reveal a strong gender imbalance in Spanish cities: the percentage of streets named after women is only 12% in 2020. We also observe substantial intra-urban differences, with female named streets being relatively scarcer in town centers. Concerning new streets, gender bias is lower but still far from parity. The second part of the paper analyzes the correlation of our indicator of gender bias in street names with variables related to gender attitudes and values, with the results suggesting that it constitutes a useful cultural measure of gender equality at the city level. This study thus helps to measure a relevant phenomenon, given the strong symbolic power attributed to street names, which has been elusive to quantify so far.