diff --git a/NEWS.md b/NEWS.md
index 174de83c..977f1ee2 100644
--- a/NEWS.md
+++ b/NEWS.md
@@ -2,6 +2,8 @@
 
 * Update in `ard_categorical.survey.design()` for factor variables that are all missing. These variables can now be tabulated, where previously this resulted in an error. 
 
+* Update in `ard_missing.survey.design()` where we can now tabulate the missing rate of design variables, such as the weights.
+
 # cardx 0.2.2
 
 * Added a `data.frame` method to `ard_survival_survfit()`.
diff --git a/R/ard_missing.survey.design.R b/R/ard_missing.survey.design.R
index 499c69ef..cef1c8b9 100644
--- a/R/ard_missing.survey.design.R
+++ b/R/ard_missing.survey.design.R
@@ -54,7 +54,7 @@ ard_missing.survey.design <- function(data,
 
   # convert all variables to T/F whether it's missing --------------------------
   data$variables <- data$variables |>
-    dplyr::mutate(across(all_of(variables), Negate(is.na)))
+    dplyr::mutate(across(all_of(variables), Negate(is.na), .names = "lgl_{.col}"))
 
   cards::process_formula_selectors(
     data$variables[variables],
@@ -86,9 +86,12 @@ ard_missing.survey.design <- function(data,
   result <-
     ard_categorical(
       data = data,
-      variables = all_of(variables),
+      variables = all_of(paste0("lgl_", variables)),
       by = any_of(by),
       statistic = everything() ~ c("n", "N", "p", "n_unweighted", "N_unweighted", "p_unweighted")
+    ) |>
+    dplyr::mutate(
+      variable = str_remove(.data$variable, pattern = "^lgl_")
     )
 
   # rename the stats for missingness -------------------------------------------
diff --git a/tests/testthat/test-ard_missing.survey.design.R b/tests/testthat/test-ard_missing.survey.design.R
index 53dedda9..26bd060c 100644
--- a/tests/testthat/test-ard_missing.survey.design.R
+++ b/tests/testthat/test-ard_missing.survey.design.R
@@ -112,3 +112,36 @@ test_that("ard_missing.survey.design() follows ard structure", {
       cards::check_ard_structure(method = FALSE)
   )
 })
+
+# testing bug reported here: https://github.com/ddsjoberg/gtsummary/issues/2092
+test_that("ard_missing.survey.design() works on design columns", {
+  expect_equal(
+    suppressWarnings(
+      dplyr::tribble(
+        ~region, ~year,          ~weights,
+        3,        1972, 0.663196271930943,
+        3,        1972, 0.917370028585327,
+        3,        1972, 0.897412512251031,
+        3,        1972,  1.06634082743438,
+        3,        1972,  0.94432371066466,
+        3,        1972, 0.526887241987567,
+        3,        1972, 0.526887241987567,
+        3,        1972, 0.546578869586901,
+        7,        1972, 0.283198307048893,
+        7,        1972, 0.494322145606406
+      ) %>%
+        survey::svydesign(
+          data = .,
+          ids = ~region,
+          strata = ~year,
+          weights = ~weights,
+          nest = TRUE
+        ) |>
+        ard_missing(variables = weights) |>
+        dplyr::filter(stat_name == "N_nonmiss") |>
+        dplyr::pull("stat") |>
+        getElement(1L)
+    ),
+    6.86651716
+  )
+})