diff --git a/R/utils.R b/R/utils.R
index 2df2aa3..f6c2886 100644
--- a/R/utils.R
+++ b/R/utils.R
@@ -299,7 +299,7 @@ as_dot_density <- function(
 }
 
 
-#' Use population-weighted interpolation to transfer information from one set of shapes to another
+#' Use population-weighted areal interpolation to transfer information from one set of shapes to another
 #'
 #' A common use-case when working with time-series small-area Census data is to transfer data from one set of shapes (e.g. 2010 Census tracts) to another set of shapes (e.g. 2020 Census tracts). Population-weighted interpolation is one such solution to this problem that takes into account the distribution of the population within a Census unit to intelligently transfer data between incongruent units.
 #'
diff --git a/man/interpolate_pw.Rd b/man/interpolate_pw.Rd
index ad0abce..74c462c 100644
--- a/man/interpolate_pw.Rd
+++ b/man/interpolate_pw.Rd
@@ -2,7 +2,7 @@
 % Please edit documentation in R/utils.R
 \name{interpolate_pw}
 \alias{interpolate_pw}
-\title{Use population-weighted interpolation to transfer information from one set of shapes to another}
+\title{Use population-weighted areal interpolation to transfer information from one set of shapes to another}
 \usage{
 interpolate_pw(
   from,