diff --git a/NEWS.md b/NEWS.md
index 61af1b3..600ff4e 100644
--- a/NEWS.md
+++ b/NEWS.md
@@ -1,6 +1,7 @@
 ggridges 0.5.6.9000
 ----------------------------------------------------------------
-
+- Add support for weighted density estimates in `stat_density_ridges()` by 
+  allowing the use of the `weight` aesthetic (@joranE, #90)
 
 ggridges 0.5.6
 ----------------------------------------------------------------
diff --git a/R/geoms.R b/R/geoms.R
index 7a6775c..4f22d9b 100644
--- a/R/geoms.R
+++ b/R/geoms.R
@@ -390,6 +390,7 @@ GeomRidgeline <- ggproto("GeomRidgeline", Geom,
 #'
 #' * **`x`**
 #' * **`y`**
+#' * `weight` Optional case weights passed to `stats::density` to calculate a weighted density estimate
 #' * `group` Defines the grouping. Not needed if a categorical variable is mapped onto `y`, but needed otherwise. Will typically be the same
 #' variable as is mapped to `y`.
 #' * `height` The height of each ridgeline at the respective x value. Automatically calculated and
@@ -475,7 +476,7 @@ GeomDensityRidges <- ggproto("GeomDensityRidges", GeomRidgeline,
 
   required_aes = c("x", "y", "height"),
 
-  optional_aes = c("point_color", "vline_color", "vline_size", "vline_width"),
+  optional_aes = c("point_color", "vline_color", "vline_size", "vline_width", "weight"),
 
   extra_params = c("na.rm", "panel_scaling"),
 
diff --git a/R/stats.R b/R/stats.R
index 9532bd9..b09fdb2 100644
--- a/R/stats.R
+++ b/R/stats.R
@@ -99,7 +99,9 @@ stat_density_ridges <- function(mapping = NULL, data = NULL, geom = "density_rid
 StatDensityRidges <- ggproto("StatDensityRidges", Stat,
   required_aes = "x",
 
-  default_aes = aes(height = after_stat(density)),
+  default_aes = aes(height = after_stat(density), weight = NULL),
+
+  dropped_aes = "weight",
 
   calc_panel_params = function(data, params) {
     if (is.null(params$bandwidth)) {
@@ -166,8 +168,15 @@ StatDensityRidges <- ggproto("StatDensityRidges", Stat,
     }
     panel_id <- as.numeric(panel)
 
+    if (is.null(data$weight)) {
+      weights <- NULL
+    } else {
+      weights <- data$weight / sum(data$weight)
+    }
+
     d <- stats::density(
       data$x,
+      weights = weights,
       bw = bandwidth[panel_id], from = from[panel_id], to = to[panel_id], na.rm = TRUE,
       n = n
     )
diff --git a/man/geom_density_ridges.Rd b/man/geom_density_ridges.Rd
index d13a4c7..3fcc33c 100644
--- a/man/geom_density_ridges.Rd
+++ b/man/geom_density_ridges.Rd
@@ -96,6 +96,7 @@ Required aesthetics are in bold.
 \itemize{
 \item \strong{\code{x}}
 \item \strong{\code{y}}
+\item \code{weight} Optional case weights passed to \code{stats::density} to calculate a weighted density estimate
 \item \code{group} Defines the grouping. Not needed if a categorical variable is mapped onto \code{y}, but needed otherwise. Will typically be the same
 variable as is mapped to \code{y}.
 \item \code{height} The height of each ridgeline at the respective x value. Automatically calculated and
diff --git a/tests/testthat/test_stat_density_ridges.R b/tests/testthat/test_stat_density_ridges.R
index c3dd623..22c8dc2 100644
--- a/tests/testthat/test_stat_density_ridges.R
+++ b/tests/testthat/test_stat_density_ridges.R
@@ -110,3 +110,23 @@ test_that("alternative quantile function can be provided", {
   expect_setequal(out$datatype, c("ridgeline", "vline"))
   expect_equal(out$x[out$datatype=="vline"], mean(df$x))
 })
+
+test_that("unweighted densities are calculated correctly", {
+  df <- data.frame(x = rnorm(100), wts = runif(100))
+  df$wts <- df$wts / sum(df$wts)
+
+  gg_no_wts <- layer_data(ggplot(df, aes(x = x, y = 0)) + stat_density_ridges())
+  d_no_wts <- stats::density(df$x)
+
+  expect_equal(gg_no_wts$density, d_no_wts$y)
+})
+
+test_that("weighted densities are calculated correctly", {
+  df <- data.frame(x = rnorm(100), wts = runif(100))
+  df$wts <- df$wts / sum(df$wts)
+
+  gg_wts <- layer_data(ggplot(df, aes(x = x, y = 0, weight = wts)) + stat_density_ridges())
+  d_wts <- stats::density(df$x, weights = df$wts)
+
+  expect_equal(gg_wts$density, d_wts$y)
+})