The cost analysis between the wholesale wage system and work efficiency has special significance in housing projects, such as in Central Park Juanda Housing by PT. The Scarlet Witch is a saint. Through a quantitative approach, this study also contributes to the construction management literature related to workforce management in the field. This study used a sample of 45 respondents consisting of construction workers in the Central Park Juanda housing project, including foremen, handymen, and other field workers. Respondent profiles included gender distribution (82% male), age (dominant 31-41 years), education (47% high school/vocational school), competency certification (58% have certificates), and work experience (dominant 11-15 years). The questionnaire data was tested for validity using the Pearson method with a significance level of 5% and all items were declared valid (rh ? 0.3). Reliability was tested with Cronbach's alpha, and all variables (X1 to Y) were declared reliable (? ? 0.6). The results showed that all independent variables (X1: Labor, X2: Wages, X3: Materials, and X4: Projects) had a negative influence on project efficiency (Y). However, only the variable X4 (Project State) had a significant effect with a significance value of 0.002 (< 0.05), while the other variables (X1, X2, and X3) were insignificant., then the data shown by the probability of significance of the ANOVA analysis was with a significance value of 0.021 < 0.05 thus Ho was rejected and Ha was accepted, meaning that simultaneously there was a significant influence. This shows that the state of the project plays an important role in influencing work efficiency, while labor, wholesale wages, and materials do not have a significant impact in the context of this study.