diff --git a/Indicators/Household-hunger-scale/HHS.R b/Indicators/Household-hunger-scale/HHS.R
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+# ------------------------------------------------------------
+# WFP Standardized Scripts
+# Household Hunger Scale (HHS)
+# Last Updated: January 2026
+# ------------------------------------------------------------
+
+library(dplyr)
+
+# Main HHS occurrence variables (Yes/No)
+hhs_main <- c("HHSNoFood","HHSBedHung","HHSNotEat")
+
+# Follow-up frequency variables (1–3)
+hhs_freq <- c("HHSNoFood_FR","HHSBedHung_FR","HHSNotEat_FR")
+
+# ------------------------------------------------------------
+# 1) Check main indicators (SPSS FREQUENCIES equivalent)
+# ------------------------------------------------------------
+hhs_main_stats <- df %>%
+  summarise(across(all_of(hhs_main),
+                   list(min = ~min(as.numeric(.x), na.rm = TRUE),
+                        max = ~max(as.numeric(.x), na.rm = TRUE))))
+hhs_main_stats
+
+# ------------------------------------------------------------
+# 2) Clean main indicators
+#    Valid range: 0–1
+# ------------------------------------------------------------
+df <- df %>%
+  mutate(across(all_of(hhs_main), ~ as.numeric(.x))) %>%
+  mutate(across(all_of(hhs_main),
+                ~ ifelse(.x < 0 | .x >= 2, NA_real_, .x)))
+
+# ------------------------------------------------------------
+# 3) Check frequency follow-ups
+# ------------------------------------------------------------
+hhs_freq_stats <- df %>%
+  summarise(across(all_of(hhs_freq),
+                   list(min = ~min(as.numeric(.x), na.rm = TRUE),
+                        max = ~max(as.numeric(.x), na.rm = TRUE))))
+hhs_freq_stats
+
+# ------------------------------------------------------------
+# 4) Clean frequency follow-ups
+#    Valid range: 1–3
+# ------------------------------------------------------------
+df <- df %>%
+  mutate(across(all_of(hhs_freq), ~ as.numeric(.x))) %>%
+  mutate(across(all_of(hhs_freq),
+                ~ ifelse(.x < 1 | .x > 3, NA_real_, .x)))
+
+# ------------------------------------------------------------
+# 5) Recode frequency into occurrence scores
+# ------------------------------------------------------------
+df <- df %>%
+  mutate(
+    HHSQ1 = case_when(HHSNoFood_FR %in% c(1,2) ~ 1L,
+                      HHSNoFood_FR == 3        ~ 2L,
+                      TRUE                     ~ 0L),
+    HHSQ2 = case_when(HHSBedHung_FR %in% c(1,2) ~ 1L,
+                      HHSBedHung_FR == 3        ~ 2L,
+                      TRUE                      ~ 0L),
+    HHSQ3 = case_when(HHSNotEat_FR %in% c(1,2) ~ 1L,
+                      HHSNotEat_FR == 3        ~ 2L,
+                      TRUE                     ~ 0L)
+  )
+
+# ------------------------------------------------------------
+# 6) Compute HHS score (0–6)
+# ------------------------------------------------------------
+df <- df %>%
+  mutate(
+    HHS = HHSQ1 + HHSQ2 + HHSQ3
+  )
+
+# ------------------------------------------------------------
+# 7) Flag potential famine conditions
+# ------------------------------------------------------------
+df <- df %>%
+  mutate(
+    HHS_flag = ifelse(!is.na(HHS) & HHS >= 5, 1L, 0L)
+  )
+
+table(df$HHS_flag, useNA = "ifany")
+
+# ------------------------------------------------------------
+# 8) Reporting categories (standard HHS)
+# ------------------------------------------------------------
+df <- df %>%
+  mutate(
+    HHSCat = case_when(
+      HHS >= 0 & HHS <= 1 ~ 1L,
+      HHS >= 2 & HHS <= 3 ~ 2L,
+      HHS >= 4 & HHS <= 6 ~ 3L,
+      TRUE                ~ NA_integer_
+    ),
+    HHSCat = factor(
+      HHSCat,
+      levels = c(1,2,3),
+      labels = c("Little to no hunger in the household",
+                 "Moderate hunger in the household",
+                 "Severe hunger in the household")
+    )
+  )
+
+# Distribution check
+c(
+  mean   = mean(df$HHS, na.rm = TRUE),
+  median = median(df$HHS, na.rm = TRUE),
+  min    = min(df$HHS, na.rm = TRUE),
+  max    = max(df$HHS, na.rm = TRUE)
+)
+
+table(df$HHSCat, useNA = "ifany")
+
+# ------------------------------------------------------------
+# 9) Optional: IPC-oriented HHS categories
+# ------------------------------------------------------------
+df <- df %>%
+  mutate(
+    HHSCat_IPC = case_when(
+      HHS == 0           ~ 1L,
+      HHS == 1           ~ 2L,
+      HHS %in% c(2,3)    ~ 3L,
+      HHS == 4           ~ 4L,
+      HHS %in% c(5,6)    ~ 5L,
+      TRUE               ~ NA_integer_
+    ),
+    HHSCat_IPC = factor(
+      HHSCat_IPC,
+      levels = c(1,2,3,4,5),
+      labels = c(
+        "HHS [0] - IPC Phase 1: No hunger in the household",
+        "HHS [1] - IPC Phase 2: Slight hunger in the household",
+        "HHS [2–3] - IPC Phase 3: Moderate hunger in the household",
+        "HHS [4] - IPC Phase 4: Severe hunger in the household",
+        "HHS [5–6] - IPC Phase 5: Severe hunger in the household"
+      )
+    )
+  )
+
+table(df$HHSCat_IPC, useNA = "ifany")