diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/csv/CSVInferSchema.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/csv/CSVInferSchema.scala
index f0df18da8eed6..56677d7d97af2 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/csv/CSVInferSchema.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/csv/CSVInferSchema.scala
@@ -102,13 +102,11 @@ class CSVInferSchema(val options: CSVOptions) extends Serializable {
     if (field == null || field.isEmpty || field == options.nullValue) {
       typeSoFar
     } else {
-      typeSoFar match {
+      val typeElemInfer = typeSoFar match {
         case NullType => tryParseInteger(field)
         case IntegerType => tryParseInteger(field)
         case LongType => tryParseLong(field)
-        case _: DecimalType =>
-          // DecimalTypes have different precisions and scales, so we try to find the common type.
-          compatibleType(typeSoFar, tryParseDecimal(field)).getOrElse(StringType)
+        case _: DecimalType => tryParseDecimal(field)
         case DoubleType => tryParseDouble(field)
         case TimestampType => tryParseTimestamp(field)
         case BooleanType => tryParseBoolean(field)
@@ -116,6 +114,7 @@ class CSVInferSchema(val options: CSVOptions) extends Serializable {
         case other: DataType =>
           throw new UnsupportedOperationException(s"Unexpected data type $other")
       }
+      compatibleType(typeSoFar, typeElemInfer).getOrElse(StringType)
     }
   }
 
diff --git a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/csv/CSVInferSchemaSuite.scala b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/csv/CSVInferSchemaSuite.scala
index b014eb92fae50..d268f8c2e7210 100644
--- a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/csv/CSVInferSchemaSuite.scala
+++ b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/csv/CSVInferSchemaSuite.scala
@@ -56,11 +56,11 @@ class CSVInferSchemaSuite extends SparkFunSuite with SQLHelper {
     assert(inferSchema.inferField(IntegerType, "1.0") == DoubleType)
     assert(inferSchema.inferField(DoubleType, null) == DoubleType)
     assert(inferSchema.inferField(DoubleType, "test") == StringType)
-    assert(inferSchema.inferField(LongType, "2015-08-20 14:57:00") == TimestampType)
-    assert(inferSchema.inferField(DoubleType, "2015-08-20 15:57:00") == TimestampType)
-    assert(inferSchema.inferField(LongType, "True") == BooleanType)
-    assert(inferSchema.inferField(IntegerType, "FALSE") == BooleanType)
-    assert(inferSchema.inferField(TimestampType, "FALSE") == BooleanType)
+    assert(inferSchema.inferField(LongType, "2015-08-20 14:57:00") == StringType)
+    assert(inferSchema.inferField(DoubleType, "2015-08-20 15:57:00") == StringType)
+    assert(inferSchema.inferField(LongType, "True") == StringType)
+    assert(inferSchema.inferField(IntegerType, "FALSE") == StringType)
+    assert(inferSchema.inferField(TimestampType, "FALSE") == StringType)
 
     val textValueOne = Long.MaxValue.toString + "0"
     val decimalValueOne = new java.math.BigDecimal(textValueOne)
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/csv/CSVSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/csv/CSVSuite.scala
index 366cf11871fa0..fcb7bdc25f08f 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/csv/CSVSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/csv/CSVSuite.scala
@@ -2341,6 +2341,18 @@ abstract class CSVSuite extends QueryTest with SharedSparkSession with TestCsvDa
       checkAnswer(csv, Row(null))
     }
   }
+
+  test("SPARK-32025: infer the schema from mixed-type values") {
+    withTempPath { path =>
+      Seq("col_mixed_types", "2012", "1997", "True").toDS.write.text(path.getCanonicalPath)
+      val df = spark.read.format("csv")
+        .option("header", "true")
+        .option("inferSchema", "true")
+        .load(path.getCanonicalPath)
+
+      assert(df.schema.last == StructField("col_mixed_types", StringType, true))
+    }
+  }
 }
 
 class CSVv1Suite extends CSVSuite {