Nitrogen fertilizers are essential to Canadian crop production, although also a large source of nitrous oxide (N2O) which is a potent greenhouse gas. Reducing N2O emissions is vital, although not at the expense of crop yields and economic gains. This can be achieved through scientifically supported best management practices, including the use of enhanced efficiency fertilizers (EEF). One major roadblock to appropriate implementation of EEFs is the lack of quantitative research synthesis to estimate the effectiveness of EEFs and inform recommendations. To address this data gap, we conducted a Canada-wide meta-analysis of primary research using N2O static chamber methodology from year 2000 onward. Here we present a comparison of EEF and conventional fertilizers (21 studies and 291 observations). The effect size was the natural log of the response ratio, with EEFs further sub grouped as: polymer coated urea (PCU), nitrification inhibitor (NI), urease inhibitor (UI), and dual inhibitor (NI+UI). Mean effect sizes with 95% confidence intervals (CI) were calculated using a generic inverse variance, random effects multilevel model using the package metafor in R version 4.3.1. We also used a machine learning algorithm (package metaforest in R) to quantify moderator importance. Overall, using EEF resulted in an 11% [0.4% – 20%] reduction in N2O emissions compared to conventional fertilizers (p = 0.0423). EEF type showed a significant effect (p = 0.0012), with 23, 15, 6, and -9 % N2O reductions from NI, NI+UI, PCU, and UI, respectively. The most influential moderators found by metaforest were pH, province, and EEF type.