diff --git a/numpy/lib/histograms.py b/numpy/lib/histograms.py
index 98182f1c4b03..194ee6ce2620 100644
--- a/numpy/lib/histograms.py
+++ b/numpy/lib/histograms.py
@@ -1019,7 +1019,7 @@ def histogramdd(sample, bins=10, range=None, normed=None, weights=None,
         sample = np.atleast_2d(sample).T
         N, D = sample.shape
 
-    nbin = np.empty(D, int)
+    nbin = np.empty(D, np.intp)
     edges = D*[None]
     dedges = D*[None]
     if weights is not None:
diff --git a/numpy/lib/tests/test_histograms.py b/numpy/lib/tests/test_histograms.py
index 1a1327c84990..14423f6f5e48 100644
--- a/numpy/lib/tests/test_histograms.py
+++ b/numpy/lib/tests/test_histograms.py
@@ -6,6 +6,7 @@
     assert_array_almost_equal, assert_raises, assert_allclose,
     assert_array_max_ulp, assert_raises_regex, suppress_warnings,
     )
+from numpy.testing._private.utils import requires_memory
 import pytest
 
 
@@ -421,6 +422,16 @@ def test_histogram_bin_edges(self):
         edges = histogram_bin_edges(arr, bins='auto', range=(0, 1))
         assert_array_equal(edges, e)
 
+    @requires_memory(free_bytes=1e10)
+    @pytest.mark.slow
+    def test_big_arrays(self):
+        sample = np.zeros([100000000, 3])
+        xbins = 400
+        ybins = 400
+        zbins = np.arange(16000)
+        hist = np.histogramdd(sample=sample, bins=(xbins, ybins, zbins))
+        assert_equal(type(hist), type((1, 2)))
+
 
 class TestHistogramOptimBinNums:
     """