The main purpose of this thesis is to acquire knowledge about economic inequality relationship with immigration and economic growth for the period 2000 to 2020 in Spain. The aim of the study was to analyse throughout literature and theory the basis of the project to establish the main ideas and once having understood the topic, collected own data and used a tool called SPSS to analyse it to get a deeper insight. A structural model was developed thanks to the help of Forslind (2021). It was chosen to run an econometric approach consisting on a multiple regression analysis, with the Gini coefficient (inequality measure) as the dependent variable. The explanatory variables chosen to have been Immigration per capita, to link it with immigration; GDP per capita and Unemployment Rate. to link it with economic growth in the country. The results showed a significant level for all variables except from Immigration per capita which was supposed to have a multicollinearity problem but as VIF confirmed, it was not too strong so the analysis could proceed. The results showed that the more immigrants in the country, the more equal distribution of income can be seen due to a surprising negative correlation. As well as that, we concluded that the higher the GDP and the Unemployment Rate were, the more inequality there would be in a country as they had a positive relationship.