Food Consumption Score calculation for low threshold (21)

Indicators/Food-consumption-score/FCS low threshold updated Oct 2025.sps

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+*** --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+
+***	                        WFP Standardized Scripts
+***                           Food Consumption Score (FCS), 21-35 thresholds
+
+
+*** Last Update: Oct 2025
+*** Purpose: This script calculates the Food Consumption Score (FCS) using standard methodology with low thresholds (21-35) for populations with low sugar/oil consumption
+*** For setting the right threshold, please refer to the FCS technical guidance on the VAM Resource Centre: https://resource-centre.document360.io/docs/food-consumption-score
+
+*** WFP Data Quality Guidance References:
+***   - Recommended high frequency checks: Page 30
+***   - Recommended cleaning steps: Page 36-37
+
+*** Find the WFP Data Quality Guidance here: https://resource-centre.document360.io/docs/data-quality
+
+*** --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+
+*** Define food group labels - these should match Survey Designer naming conventions
+
+VARIABLE LABELS
+FCSStap                 "Consumption over the past 7 days: Cereals, grains and tubers"
+FCSPulse              "Consumption over the past 7 days: Pulses"
+FCSDairy                "Consumption over the past 7 days: Dairy"
+FCSPr                     "Consumption over the past 7 days: Meat, fish and eggs"
+FCSVeg                  "Consumption over the past 7 days: Vegetables and leaves"
+FCSFruit                 "Consumption over the past 7 days: Fruit"
+FCSFat                   "Consumption over the past 7 days: Fat and oil"
+FCSSugar              "Consumption over the past 7 days: Sugar or sweets"
+FCSCond               "Consumption over the past 7 days: Condiments or spices".
+
+*** Harmonize Data Quality Guidance measures
+*** Clean impossible values 
+
+RECODE FCSStap FCSPulse FCSDairy FCSPr FCSVeg FCSFruit FCSFat FCSSugar (LOWEST THRU -1 = SYSMIS).
+RECODE FCSStap FCSPulse FCSDairy FCSPr FCSVeg FCSFruit FCSFat FCSSugar (8 THRU HIGHEST = SYSMIS).
+EXECUTE.
+
+*** Calculate FCS (use + instead of SUM to automatically drop missing values from the final FCS)
+*** Note: Condiments (FCSCond) are not included in standard FCS calculation
+
+COMPUTE FCS = FCSStap*2 + FCSPulse*3 + FCSDairy*4 + FCSPr*4 + FCSVeg*1 + FCSFruit*1 + FCSFat*0.5 + FCSSugar*0.5.
+VARIABLE LABELS FCS "Food Consumption Score".
+EXECUTE.
+
+*** Harmonize Data Quality Guidance measures
+*** Check that FCS is between 0-112
+
+DESCRIPTIVES VARIABLES=FCS
+  /STATISTICS=MEAN STDDEV MIN MAX.
+
+*** Clean any impossible FCS values
+
+RECODE FCS (LOWEST THRU -1 = SYSMIS).
+RECODE FCS (113 THRU HIGHEST = SYSMIS).
+EXECUTE.
+
+*** Flagging potential Data Quality issues. If any cases reflected here, refer to the Data Quality Guidance note pages 36-37. This can be found on the VAM Ressource Centre
+
+COMPUTE FCS_flag_low = 0.    
+IF (FCS LT 14) FCS_flag_low = 1.
+VARIABLE LABELS FCS_flag_low "FCS has low values that could be a Data Quality issue. Refer to the Data Quality guidance for recommended actions".
+VALUE LABELS FCS_flag_low
+    0 "No"
+    1 "Yes".
+
+COMPUTE FCS_flag_high = 0.    
+IF (FCS GT 100) FCS_flag_high = 1.
+VARIABLE LABELS FCS_flag_high "FCS has high values that could be a Data Quality issue. Refer to the Data Quality guidance for recommended actions".
+VALUE LABELS FCS_flag_high
+    0 "No"
+    1 "Yes".
+
+*** Check flagged cases
+
+FREQUENCIES VARIABLES=FCS_flag_low FCS_flag_high
+  /ORDER=ANALYSIS.
+
+*** Use this when analyzing a country with LOW consumption of sugar and oil - thresholds 21-35
+
+RECODE FCS (LOWEST THRU 21 = 1) (21.5 THRU 35 = 2) (35.5 THRU HIGHEST = 3) INTO FCSCat21.
+VARIABLE LABELS FCSCat21 "FCS Categories: Low thresholds".
+EXECUTE.
+
+*** Define value labels and properties for "FCS Categories".
+
+VALUE LABELS FCSCat21 
+    1 "Poor" 
+    2 "Borderline" 
+    3 "Acceptable".
+EXECUTE.
+
+*** Check distribution of final categories
+
+FREQUENCIES VARIABLES=FCSCat21
+  /ORDER=ANALYSIS.
+
+*** Sample check of food group distributions (recommended for data quality review)
+
+FREQUENCIES VARIABLES=FCSStap FCSPulse FCSDairy FCSPr FCSVeg FCSFruit FCSFat FCSSugar
+  /FORMAT=NOTABLE
+  /STATISTICS=MINIMUM MAXIMUM MEAN.
+
+*** Optional: Compute the same variable to be used directly for IPC analysis (referring to IPC phases)
+
+RECODE FCS (LOWEST THRU 21 = 3) (21.5 THRU 35 = 2) (35.5 THRU HIGHEST = 1) INTO FCSCat21IPC.
+VARIABLE LABELS FCSCat21IPC "Official IPC Classification for FCS - low thresholds".
+VALUE LABELS FCSCat21IPC 
+    1 "Acceptable - IPC Phase 1-2" 
+    2 "Borderline - IPC Phase 3" 
+    3 "Poor - IPC Phase 4-5".
+EXECUTE.
+
+*** Check distribution of final categories
+
+FREQUENCIES VARIABLES=FCSCat21IPC
+  /ORDER=ANALYSIS.
+
+*** ----------------------------------------------------------------------------------------------------
+*** END OF SCRIPT
+*** ----------------------------------------------------------------------------------------------------
+
+
+