diff --git a/R/read_data.R b/R/read_data.R
index c3cee32..60ca2d4 100644
--- a/R/read_data.R
+++ b/R/read_data.R
@@ -637,8 +637,10 @@ read_cin_referral_data <- function(file = "data/c1_children_in_need_referrals_an
 read_outcome2 <- function(file = "data/la_children_who_ceased_during_the_year.csv") {
   read_data <- read.csv(file)
   # Call remove old la data function to remove the old
-  final_filtered_data <- remove_old_la_data(read_data)
+  # final_filtered_data <- remove_old_la_data(read_data)
+  las_to_remove <- c("Poole", "Bournemouth", "Northamptonshire")
 
+  final_filtered_data <- read_data %>% filter(new_la_code != "E10000009", !la_name %in% las_to_remove)
   ceased_cla_data <- final_filtered_data %>%
     mutate(geo_breakdown = case_when(
       geographic_level == "National" ~ "National", # NA_character_,
diff --git a/server.R b/server.R
index f8693c1..2f8446f 100644
--- a/server.R
+++ b/server.R
@@ -1866,7 +1866,7 @@ server <- function(input, output, session) {
   observeEvent(eventExpr = {
     input$select_geography_o2
   }, {
-    choices <- sort(unique(ceased_cla_data[ceased_cla_data$geographic_level == input$select_geography_o2, "geo_breakdown"]), decreasing = FALSE)
+    choices <- sort(unique(ceased_cla_data[(ceased_cla_data$geographic_level == input$select_geography_o2 & ceased_cla_data$time_period == max(ceased_cla_data$time_period)), "geo_breakdown"]), decreasing = FALSE)
 
     updateSelectizeInput(
       session = session,