diff --git a/python/ray/autoscaler/_private/load_metrics.py b/python/ray/autoscaler/_private/load_metrics.py
index 060a56690..4f45230a2 100644
--- a/python/ray/autoscaler/_private/load_metrics.py
+++ b/python/ray/autoscaler/_private/load_metrics.py
@@ -125,13 +125,17 @@ class LoadMetrics:
         return self.dynamic_resources_by_ip
 
     def _get_resource_usage(self):
-        num_nodes = len(self.static_resources_by_ip)
+        num_nodes = 0
         nodes_used = 0.0
         num_nonidle = 0
         has_saturated_node = False
         resources_used = {}
         resources_total = {}
         for ip, max_resources in self.static_resources_by_ip.items():
+            # Nodes without resources don't count as nodes (e.g. unmanaged
+            # nodes)
+            if any(max_resources.values()):
+                num_nodes += 1
             avail_resources = self.dynamic_resources_by_ip[ip]
             resource_load = self.resource_load_by_ip[ip]
             max_frac = 0.0
diff --git a/python/ray/tests/test_autoscaler.py b/python/ray/tests/test_autoscaler.py
index e6be2854f..eb657cc4c 100644
--- a/python/ray/tests/test_autoscaler.py
+++ b/python/ray/tests/test_autoscaler.py
@@ -808,6 +808,7 @@ class AutoscalingTest(unittest.TestCase):
         autoscaler.update()
         self.waitForNodes(2)
         # This node has num_cpus=0
+        lm.update(head_ip, {"CPU": 1}, True, {"CPU": 0}, True, {})
         lm.update(unmanaged_ip, {"CPU": 0}, True, {"CPU": 0}, True, {})
         autoscaler.update()
         self.waitForNodes(2)
@@ -816,6 +817,52 @@ class AutoscalingTest(unittest.TestCase):
         autoscaler.update()
         self.waitForNodes(3)
 
+    def testUnmanagedNodes2(self):
+        config = SMALL_CLUSTER.copy()
+        config["min_workers"] = 0
+        config["max_workers"] = 20
+        config["initial_workers"] = 0
+        config["idle_timeout_minutes"] = 0
+        config["autoscaling_mode"] = "aggressive"
+        config["target_utilization_fraction"] = 1.0
+        config_path = self.write_config(config)
+
+        self.provider = MockProvider()
+        self.provider.create_node({}, {TAG_RAY_NODE_KIND: "head"}, 1)
+        head_ip = self.provider.non_terminated_node_ips(
+            tag_filters={TAG_RAY_NODE_KIND: "head"}, )[0]
+
+        self.provider.create_node({}, {TAG_RAY_NODE_KIND: "unmanaged"}, 1)
+        unmanaged_ip = self.provider.non_terminated_node_ips(
+            tag_filters={TAG_RAY_NODE_KIND: "unmanaged"}, )[0]
+        unmanaged_ip = self.provider.non_terminated_node_ips(
+            tag_filters={TAG_RAY_NODE_KIND: "unmanaged"}, )[0]
+
+        runner = MockProcessRunner()
+
+        lm = LoadMetrics()
+        lm.local_ip = head_ip
+
+        autoscaler = StandardAutoscaler(
+            config_path,
+            lm,
+            max_launch_batch=5,
+            max_concurrent_launches=5,
+            max_failures=0,
+            process_runner=runner,
+            update_interval_s=0)
+
+        lm.update(head_ip, {"CPU": 1}, True, {"CPU": 0}, True, {"CPU": 1})
+        lm.update(unmanaged_ip, {"CPU": 0}, True, {"CPU": 0}, True, {})
+
+        # Note that we shouldn't autoscale here because the resource demand
+        # vector is not set and target utilization fraction = 1.
+        autoscaler.update()
+        # If the autoscaler was behaving incorrectly, it needs time to start
+        # the new node, otherwise it could scale up after this check.
+        time.sleep(0.2)
+        self.waitForNodes(2)
+
     def testDelayedLaunch(self):
         config_path = self.write_config(SMALL_CLUSTER)
         self.provider = MockProvider()