The study investigated the influence of project planning on performance of Housing Construction Projects in Rwanda. The study has the specific objectives of determining the influence of project scope planning on performance of housing construction project in Kigali City; to establish the influence of project resource planning on performances of housing construction project; and to analyze the influence of project risk planning on performance of housing construction projects performances of housing construction project. The descriptive research design and correlative approach were used. Target population was 161 staff in the housing construction and sample size was 161 respondents selected using census survey sampling. Data collection methods were questionnaire and documentary analysis. Methods of analysis were descriptive statistic method; correlation coefficient and multiple linear regression analysis models.  The findings revealed that correlations between project planning factors and the performance of housing construction projects are highly significant (Sig. = 0.000) and strongly positive. In this model, the R-value is 0.948, indicating a strong positive linear relationship between the predictors and the dependent variable. This means that the independent variables collectively explain 94.8% of the variation in the dependent variable. In this model, the R-Square value is 0.899, which means that approximately 89.9% of the variation in the Performance of housing construction projects can be explained by the predictors included in the model. According to the findings on Ha1 stated that “there is a significant influence of project scope planning on the performance of housing construction projects in Kigali City”. In the ANOVA table, the "Regression" row provides this information where the "F" statistic for the "Regression" component is 467.870, and the associated "Sig." (p-value) is very close to zero (0.000). This indicates that the regression model (which includes project scope planning) is statistically significant. The Ha2 stated that “there is a significant influence of project resource planning on the performance of housing construction projects in Kigali City”. Similarly, we look at the significance of the predictor "project resource planning" in the regression model. The "F" statistic for the "Regression" component is 467.870, and the associated "Sig." (p-value) is very close to zero (0.000). The Ha3 said that “there is a significant influence of project risk planning on the performance of housing construction projects in Kigali City”. Again, we examine the significance of the predictor "project risk planning" in the regression model. The "F" statistic for the "Regression" component is 467.870, and the associated "Sig." (p-value) is very close to zero (0.000). Therefore, based on the analysis, project risk planning also has a significant influence on the performance of housing construction projects in Kigali City.  

Key words: project planning; performance of Housing Construction Projects; project scope planning; project resource planning; project risk planning