diff --git a/luni/src/test/java/libcore/java/util/DoubleSummaryStatisticsTest.java b/luni/src/test/java/libcore/java/util/DoubleSummaryStatisticsTest.java
new file mode 100644
index 0000000..313b8c6
--- /dev/null
+++ b/luni/src/test/java/libcore/java/util/DoubleSummaryStatisticsTest.java
@@ -0,0 +1,108 @@
+/*
+ * Copyright (C) 2016 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package libcore.java.util;
+
+import java.util.DoubleSummaryStatistics;
+
+public class DoubleSummaryStatisticsTest extends junit.framework.TestCase {
+
+    private static final double data1[] = {22.4, -53.4, 74.8, -12.4, 17, 0, 100};
+    private static final double data2[] = {1.2, 3.5, 2.7, 1, 7.6};
+
+    public void test_empty() {
+        DoubleSummaryStatistics dss = new DoubleSummaryStatistics();
+        assertEquals(0, dss.getCount());
+        assertEquals(0.0d, dss.getSum());
+        assertEquals(0.0d, dss.getAverage());
+        assertEquals(Double.POSITIVE_INFINITY, dss.getMin());
+        assertEquals(Double.NEGATIVE_INFINITY, dss.getMax());
+    }
+
+    public void test_accept() {
+        DoubleSummaryStatistics dss = new DoubleSummaryStatistics();
+        dss.accept(100.5d);
+        assertEquals(1, dss.getCount());
+        assertEquals(100.5d, dss.getSum());
+        dss.accept(45.0d);
+        assertEquals(2, dss.getCount());
+        assertEquals(145.5d, dss.getSum());
+    }
+
+    public void test_combine() {
+        DoubleSummaryStatistics dss1 = getDoubleSummaryStatisticsData2();
+        DoubleSummaryStatistics dssCombined = getDoubleSummaryStatisticsData1();
+        dssCombined.combine(dss1);
+        assertEquals(12, dssCombined.getCount());
+        assertEquals(164.4d, dssCombined.getSum());
+        assertEquals(100.0d, dssCombined.getMax());
+        assertEquals(-53.4d, dssCombined.getMin());
+        assertEquals(13.7, dssCombined.getAverage(), 1E-6);
+    }
+
+    public void test_getCount() {
+        DoubleSummaryStatistics dss1 = getDoubleSummaryStatisticsData1();
+        assertEquals(data1.length, dss1.getCount());
+    }
+
+    public void test_getSum() {
+        DoubleSummaryStatistics dss1 = getDoubleSummaryStatisticsData1();
+        assertEquals(148.4, dss1.getSum());
+
+        dss1.accept(Double.NaN);
+        assertEquals(Double.NaN, dss1.getSum());
+    }
+
+    public void test_getMin() {
+        DoubleSummaryStatistics dss1 = getDoubleSummaryStatisticsData1();
+        assertEquals(-53.4d, dss1.getMin());
+
+        dss1.accept(Double.NaN);
+        assertEquals(Double.NaN, dss1.getMin());
+    }
+
+    public void test_getMax() {
+        DoubleSummaryStatistics dss1 = getDoubleSummaryStatisticsData1();
+        assertEquals(100.0d, dss1.getMax());
+
+        dss1.accept(Double.NaN);
+        assertEquals(Double.NaN, dss1.getMax());
+    }
+
+    public void test_getAverage() {
+        DoubleSummaryStatistics dss1 = getDoubleSummaryStatisticsData1();
+        assertEquals(21.2, dss1.getAverage(), 1E-6);
+
+        dss1.accept(Double.NaN);
+        assertEquals(Double.NaN, dss1.getAverage());
+    }
+
+    private static DoubleSummaryStatistics getDoubleSummaryStatisticsData1() {
+        DoubleSummaryStatistics dss = new DoubleSummaryStatistics();
+        for (double value : data1) {
+            dss.accept(value);
+        }
+        return dss;
+    }
+
+    private static DoubleSummaryStatistics getDoubleSummaryStatisticsData2() {
+        DoubleSummaryStatistics dss = new DoubleSummaryStatistics();
+        for (double value : data2) {
+            dss.accept(value);
+        }
+        return dss;
+    }
+}
diff --git a/luni/src/test/java/libcore/java/util/IntSummaryStatisticsTest.java b/luni/src/test/java/libcore/java/util/IntSummaryStatisticsTest.java
new file mode 100644
index 0000000..925b29a
--- /dev/null
+++ b/luni/src/test/java/libcore/java/util/IntSummaryStatisticsTest.java
@@ -0,0 +1,97 @@
+/*
+ * Copyright (C) 2016 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package libcore.java.util;
+
+import java.util.IntSummaryStatistics;
+
+public class IntSummaryStatisticsTest extends junit.framework.TestCase {
+
+    private static final int data1[] = {2, -5, 7, -1, 1, 0, 100};
+    private static final int data2[] = {1, 3, 2, 1, 7};
+
+    public void test_empty() {
+        IntSummaryStatistics iss = new IntSummaryStatistics();
+        assertEquals(0, iss.getCount());
+        assertEquals(0, iss.getSum());
+        assertEquals(0.0d, iss.getAverage());
+        assertEquals(Integer.MAX_VALUE, iss.getMin());
+        assertEquals(Integer.MIN_VALUE, iss.getMax());
+    }
+
+    public void test_accept() {
+        IntSummaryStatistics iss = new IntSummaryStatistics();
+        iss.accept(5);
+        assertEquals(1, iss.getCount());
+        assertEquals(5, iss.getSum());
+        iss.accept(10);
+        assertEquals(2, iss.getCount());
+        assertEquals(15, iss.getSum());
+    }
+
+    public void test_combine() {
+        IntSummaryStatistics iss1 = getIntSummaryStatisticsData2();
+        IntSummaryStatistics issCombined = getIntSummaryStatisticsData1();
+        issCombined.combine(iss1);
+
+        assertEquals(12, issCombined.getCount());
+        assertEquals(118, issCombined.getSum());
+        assertEquals(100, issCombined.getMax());
+        assertEquals(-5, issCombined.getMin());
+        assertEquals(9.833333d, issCombined.getAverage(), 1E-6);
+    }
+
+    public void test_getCount() {
+        IntSummaryStatistics iss1 = getIntSummaryStatisticsData1();
+        assertEquals(data1.length, iss1.getCount());
+    }
+
+    public void test_getSum() {
+        IntSummaryStatistics iss1 = getIntSummaryStatisticsData1();
+        assertEquals(104, iss1.getSum());
+    }
+
+    public void test_getMin() {
+        IntSummaryStatistics iss1 = getIntSummaryStatisticsData1();
+        assertEquals(-5, iss1.getMin());
+    }
+
+    public void test_getMax() {
+        IntSummaryStatistics iss1 = getIntSummaryStatisticsData1();
+        assertEquals(100, iss1.getMax());
+    }
+
+    public void test_getAverage() {
+        IntSummaryStatistics iss1 = getIntSummaryStatisticsData1();
+        assertEquals(14.857142, iss1.getAverage(), 1E-6);
+    }
+
+    private static IntSummaryStatistics getIntSummaryStatisticsData1() {
+        IntSummaryStatistics iss = new IntSummaryStatistics();
+        for (int value : data1) {
+            iss.accept(value);
+        }
+        return iss;
+    }
+
+    private static IntSummaryStatistics getIntSummaryStatisticsData2() {
+        IntSummaryStatistics iss = new IntSummaryStatistics();
+        for (int value : data2) {
+            iss.accept(value);
+        }
+        return iss;
+    }
+}
diff --git a/luni/src/test/java/libcore/java/util/LongSummaryStatisticsTest.java b/luni/src/test/java/libcore/java/util/LongSummaryStatisticsTest.java
new file mode 100644
index 0000000..300c087
--- /dev/null
+++ b/luni/src/test/java/libcore/java/util/LongSummaryStatisticsTest.java
@@ -0,0 +1,107 @@
+/*
+ * Copyright (C) 2016 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package libcore.java.util;
+
+import java.util.LongSummaryStatistics;
+
+public class LongSummaryStatisticsTest extends junit.framework.TestCase {
+
+    private static final long data1[] = {2, -5, 7, -1, 1, 0, 100};
+    private static final long data2[] = {1, 3, 2, 1, 7};
+
+    public void test_empty() {
+        LongSummaryStatistics lss = new LongSummaryStatistics();
+        assertEquals(0, lss.getCount());
+        assertEquals(0, lss.getSum());
+        assertEquals(0.0d, lss.getAverage());
+        assertEquals(Long.MAX_VALUE, lss.getMin());
+        assertEquals(Long.MIN_VALUE, lss.getMax());
+    }
+
+    public void test_accept() {
+        LongSummaryStatistics lss = new LongSummaryStatistics();
+
+        // For long values
+        lss.accept(100L);
+        assertEquals(1, lss.getCount());
+        assertEquals(100L, lss.getSum());
+        lss.accept(250L);
+        assertEquals(2, lss.getCount());
+        assertEquals(350L, lss.getSum());
+
+        // for int values
+        lss.accept(50);
+        assertEquals(3, lss.getCount());
+        assertEquals(400L, lss.getSum());
+        lss.accept(200);
+        assertEquals(4, lss.getCount());
+        assertEquals(600L, lss.getSum());
+    }
+
+    public void test_combine() {
+        LongSummaryStatistics lss1 = getLongSummaryStatisticsData2();
+        LongSummaryStatistics lssCombined = getLongSummaryStatisticsData1();
+        lssCombined.combine(lss1);
+
+        assertEquals(12, lssCombined.getCount());
+        assertEquals(118L, lssCombined.getSum());
+        assertEquals(100L, lssCombined.getMax());
+        assertEquals(-5L, lssCombined.getMin());
+        assertEquals(9.833333, lssCombined.getAverage(), 1E-6);
+    }
+
+    public void test_getCount() {
+        LongSummaryStatistics lss1 = getLongSummaryStatisticsData1();
+        assertEquals(data1.length, lss1.getCount());
+    }
+
+    public void test_getSum() {
+        LongSummaryStatistics lss1 = getLongSummaryStatisticsData1();
+        assertEquals(104L, lss1.getSum());
+    }
+
+    public void test_getMin() {
+        LongSummaryStatistics lss1 = getLongSummaryStatisticsData1();
+        assertEquals(-5L, lss1.getMin());
+    }
+
+    public void test_getMax() {
+        LongSummaryStatistics lss1 = getLongSummaryStatisticsData1();
+        assertEquals(100L, lss1.getMax());
+    }
+
+    public void test_getAverage() {
+        LongSummaryStatistics lss1 = getLongSummaryStatisticsData1();
+        assertEquals(14.857142, lss1.getAverage(), 1E-6);
+    }
+
+    private static LongSummaryStatistics getLongSummaryStatisticsData1() {
+        LongSummaryStatistics lss = new LongSummaryStatistics();
+        for (long value : data1) {
+            lss.accept(value);
+        }
+        return lss;
+    }
+
+    private static LongSummaryStatistics getLongSummaryStatisticsData2() {
+        LongSummaryStatistics lss = new LongSummaryStatistics();
+        for (long value : data2) {
+            lss.accept(value);
+        }
+        return lss;
+    }
+}
diff --git a/ojluni/src/main/java/java/util/DoubleSummaryStatistics.java b/ojluni/src/main/java/java/util/DoubleSummaryStatistics.java
new file mode 100644
index 0000000..599bd18
--- /dev/null
+++ b/ojluni/src/main/java/java/util/DoubleSummaryStatistics.java
@@ -0,0 +1,232 @@
+/*
+ * Copyright (c) 2012, 2013, Oracle and/or its affiliates. All rights reserved.
+ * DO NOT ALTER OR REMOVE COPYRIGHT NOTICES OR THIS FILE HEADER.
+ *
+ * This code is free software; you can redistribute it and/or modify it
+ * under the terms of the GNU General Public License version 2 only, as
+ * published by the Free Software Foundation.  Oracle designates this
+ * particular file as subject to the "Classpath" exception as provided
+ * by Oracle in the LICENSE file that accompanied this code.
+ *
+ * This code is distributed in the hope that it will be useful, but WITHOUT
+ * ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or
+ * FITNESS FOR A PARTICULAR PURPOSE.  See the GNU General Public License
+ * version 2 for more details (a copy is included in the LICENSE file that
+ * accompanied this code).
+ *
+ * You should have received a copy of the GNU General Public License version
+ * 2 along with this work; if not, write to the Free Software Foundation,
+ * Inc., 51 Franklin St, Fifth Floor, Boston, MA 02110-1301 USA.
+ *
+ * Please contact Oracle, 500 Oracle Parkway, Redwood Shores, CA 94065 USA
+ * or visit www.oracle.com if you need additional information or have any
+ * questions.
+ */
+package java.util;
+
+import java.util.function.DoubleConsumer;
+
+/**
+ * A state object for collecting statistics such as count, min, max, sum, and
+ * average.
+ *
+ * <p>This class is designed to work with (though does not require)
+ * {@linkplain java.util.stream streams}. For example, you can compute
+ * summary statistics on a stream of doubles with:
+ * <pre> {@code
+ * DoubleSummaryStatistics stats = doubleStream.collect(DoubleSummaryStatistics::new,
+ *                                                      DoubleSummaryStatistics::accept,
+ *                                                      DoubleSummaryStatistics::combine);
+ * }</pre>
+ *
+ * <p>{@code DoubleSummaryStatistics} can be used as a
+ * {@linkplain java.util.stream.Stream#collect(Collector) reduction}
+ * target for a {@linkplain java.util.stream.Stream stream}. For example:
+ *
+ * <pre> {@code
+ * DoubleSummaryStatistics stats = people.stream()
+ *     .collect(Collectors.summarizingDouble(Person::getWeight));
+ *}</pre>
+ *
+ * This computes, in a single pass, the count of people, as well as the minimum,
+ * maximum, sum, and average of their weights.
+ *
+ * @implNote This implementation is not thread safe. However, it is safe to use
+ * {@link java.util.stream.Collectors#summarizingDouble(java.util.function.ToDoubleFunction)
+ * Collectors.toDoubleStatistics()} on a parallel stream, because the parallel
+ * implementation of {@link java.util.stream.Stream#collect Stream.collect()}
+ * provides the necessary partitioning, isolation, and merging of results for
+ * safe and efficient parallel execution.
+ * @since 1.8
+ */
+public class DoubleSummaryStatistics implements DoubleConsumer {
+    private long count;
+    private double sum;
+    private double sumCompensation; // Low order bits of sum
+    private double simpleSum; // Used to compute right sum for non-finite inputs
+    private double min = Double.POSITIVE_INFINITY;
+    private double max = Double.NEGATIVE_INFINITY;
+
+    /**
+     * Construct an empty instance with zero count, zero sum,
+     * {@code Double.POSITIVE_INFINITY} min, {@code Double.NEGATIVE_INFINITY}
+     * max and zero average.
+     */
+    public DoubleSummaryStatistics() { }
+
+    /**
+     * Records another value into the summary information.
+     *
+     * @param value the input value
+     */
+    @Override
+    public void accept(double value) {
+        ++count;
+        simpleSum += value;
+        sumWithCompensation(value);
+        min = Math.min(min, value);
+        max = Math.max(max, value);
+    }
+
+    /**
+     * Combines the state of another {@code DoubleSummaryStatistics} into this
+     * one.
+     *
+     * @param other another {@code DoubleSummaryStatistics}
+     * @throws NullPointerException if {@code other} is null
+     */
+    public void combine(DoubleSummaryStatistics other) {
+        count += other.count;
+        simpleSum += other.simpleSum;
+        sumWithCompensation(other.sum);
+        sumWithCompensation(other.sumCompensation);
+        min = Math.min(min, other.min);
+        max = Math.max(max, other.max);
+    }
+
+    /**
+     * Incorporate a new double value using Kahan summation /
+     * compensated summation.
+     */
+    private void sumWithCompensation(double value) {
+        double tmp = value - sumCompensation;
+        double velvel = sum + tmp; // Little wolf of rounding error
+        sumCompensation = (velvel - sum) - tmp;
+        sum = velvel;
+    }
+
+    /**
+     * Return the count of values recorded.
+     *
+     * @return the count of values
+     */
+    public final long getCount() {
+        return count;
+    }
+
+    /**
+     * Returns the sum of values recorded, or zero if no values have been
+     * recorded.
+     *
+     * If any recorded value is a NaN or the sum is at any point a NaN
+     * then the sum will be NaN.
+     *
+     * <p> The value of a floating-point sum is a function both of the
+     * input values as well as the order of addition operations. The
+     * order of addition operations of this method is intentionally
+     * not defined to allow for implementation flexibility to improve
+     * the speed and accuracy of the computed result.
+     *
+     * In particular, this method may be implemented using compensated
+     * summation or other technique to reduce the error bound in the
+     * numerical sum compared to a simple summation of {@code double}
+     * values.
+     *
+     * @apiNote Values sorted by increasing absolute magnitude tend to yield
+     * more accurate results.
+     *
+     * @return the sum of values, or zero if none
+     */
+    public final double getSum() {
+        // Better error bounds to add both terms as the final sum
+        double tmp =  sum + sumCompensation;
+        if (Double.isNaN(tmp) && Double.isInfinite(simpleSum))
+            // If the compensated sum is spuriously NaN from
+            // accumulating one or more same-signed infinite values,
+            // return the correctly-signed infinity stored in
+            // simpleSum.
+            return simpleSum;
+        else
+            return tmp;
+    }
+
+    /**
+     * Returns the minimum recorded value, {@code Double.NaN} if any recorded
+     * value was NaN or {@code Double.POSITIVE_INFINITY} if no values were
+     * recorded. Unlike the numerical comparison operators, this method
+     * considers negative zero to be strictly smaller than positive zero.
+     *
+     * @return the minimum recorded value, {@code Double.NaN} if any recorded
+     * value was NaN or {@code Double.POSITIVE_INFINITY} if no values were
+     * recorded
+     */
+    public final double getMin() {
+        return min;
+    }
+
+    /**
+     * Returns the maximum recorded value, {@code Double.NaN} if any recorded
+     * value was NaN or {@code Double.NEGATIVE_INFINITY} if no values were
+     * recorded. Unlike the numerical comparison operators, this method
+     * considers negative zero to be strictly smaller than positive zero.
+     *
+     * @return the maximum recorded value, {@code Double.NaN} if any recorded
+     * value was NaN or {@code Double.NEGATIVE_INFINITY} if no values were
+     * recorded
+     */
+    public final double getMax() {
+        return max;
+    }
+
+    /**
+     * Returns the arithmetic mean of values recorded, or zero if no
+     * values have been recorded.
+     *
+     * If any recorded value is a NaN or the sum is at any point a NaN
+     * then the average will be code NaN.
+     *
+     * <p>The average returned can vary depending upon the order in
+     * which values are recorded.
+     *
+     * This method may be implemented using compensated summation or
+     * other technique to reduce the error bound in the {@link #getSum
+     * numerical sum} used to compute the average.
+     *
+     * @apiNote Values sorted by increasing absolute magnitude tend to yield
+     * more accurate results.
+     *
+     * @return the arithmetic mean of values, or zero if none
+     */
+    public final double getAverage() {
+        return getCount() > 0 ? getSum() / getCount() : 0.0d;
+    }
+
+    /**
+     * {@inheritDoc}
+     *
+     * Returns a non-empty string representation of this object suitable for
+     * debugging. The exact presentation format is unspecified and may vary
+     * between implementations and versions.
+     */
+    @Override
+    public String toString() {
+        return String.format(
+            "%s{count=%d, sum=%f, min=%f, average=%f, max=%f}",
+            this.getClass().getSimpleName(),
+            getCount(),
+            getSum(),
+            getMin(),
+            getAverage(),
+            getMax());
+    }
+}
diff --git a/ojluni/src/main/java/java/util/IntSummaryStatistics.java b/ojluni/src/main/java/java/util/IntSummaryStatistics.java
new file mode 100644
index 0000000..d16f224
--- /dev/null
+++ b/ojluni/src/main/java/java/util/IntSummaryStatistics.java
@@ -0,0 +1,170 @@
+/*
+ * Copyright (c) 2012, 2013, Oracle and/or its affiliates. All rights reserved.
+ * DO NOT ALTER OR REMOVE COPYRIGHT NOTICES OR THIS FILE HEADER.
+ *
+ * This code is free software; you can redistribute it and/or modify it
+ * under the terms of the GNU General Public License version 2 only, as
+ * published by the Free Software Foundation.  Oracle designates this
+ * particular file as subject to the "Classpath" exception as provided
+ * by Oracle in the LICENSE file that accompanied this code.
+ *
+ * This code is distributed in the hope that it will be useful, but WITHOUT
+ * ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or
+ * FITNESS FOR A PARTICULAR PURPOSE.  See the GNU General Public License
+ * version 2 for more details (a copy is included in the LICENSE file that
+ * accompanied this code).
+ *
+ * You should have received a copy of the GNU General Public License version
+ * 2 along with this work; if not, write to the Free Software Foundation,
+ * Inc., 51 Franklin St, Fifth Floor, Boston, MA 02110-1301 USA.
+ *
+ * Please contact Oracle, 500 Oracle Parkway, Redwood Shores, CA 94065 USA
+ * or visit www.oracle.com if you need additional information or have any
+ * questions.
+ */
+package java.util;
+
+import java.util.function.IntConsumer;
+
+/**
+ * A state object for collecting statistics such as count, min, max, sum, and
+ * average.
+ *
+ * <p>This class is designed to work with (though does not require)
+ * {@linkplain java.util.stream streams}. For example, you can compute
+ * summary statistics on a stream of ints with:
+ * <pre> {@code
+ * IntSummaryStatistics stats = intStream.collect(IntSummaryStatistics::new,
+ *                                                IntSummaryStatistics::accept,
+ *                                                IntSummaryStatistics::combine);
+ * }</pre>
+ *
+ * <p>{@code IntSummaryStatistics} can be used as a
+ * {@linkplain java.util.stream.Stream#collect(Collector) reduction}
+ * target for a {@linkplain java.util.stream.Stream stream}. For example:
+ *
+ * <pre> {@code
+ * IntSummaryStatistics stats = people.stream()
+ *                                    .collect(Collectors.summarizingInt(Person::getDependents));
+ *}</pre>
+ *
+ * This computes, in a single pass, the count of people, as well as the minimum,
+ * maximum, sum, and average of their number of dependents.
+ *
+ * @implNote This implementation is not thread safe. However, it is safe to use
+ * {@link java.util.stream.Collectors#summarizingInt(java.util.function.ToIntFunction)
+ * Collectors.toIntStatistics()} on a parallel stream, because the parallel
+ * implementation of {@link java.util.stream.Stream#collect Stream.collect()}
+ * provides the necessary partitioning, isolation, and merging of results for
+ * safe and efficient parallel execution.
+ *
+ * <p>This implementation does not check for overflow of the sum.
+ * @since 1.8
+ */
+public class IntSummaryStatistics implements IntConsumer {
+    private long count;
+    private long sum;
+    private int min = Integer.MAX_VALUE;
+    private int max = Integer.MIN_VALUE;
+
+    /**
+     * Construct an empty instance with zero count, zero sum,
+     * {@code Integer.MAX_VALUE} min, {@code Integer.MIN_VALUE} max and zero
+     * average.
+     */
+    public IntSummaryStatistics() { }
+
+    /**
+     * Records a new value into the summary information
+     *
+     * @param value the input value
+     */
+    @Override
+    public void accept(int value) {
+        ++count;
+        sum += value;
+        min = Math.min(min, value);
+        max = Math.max(max, value);
+    }
+
+    /**
+     * Combines the state of another {@code IntSummaryStatistics} into this one.
+     *
+     * @param other another {@code IntSummaryStatistics}
+     * @throws NullPointerException if {@code other} is null
+     */
+    public void combine(IntSummaryStatistics other) {
+        count += other.count;
+        sum += other.sum;
+        min = Math.min(min, other.min);
+        max = Math.max(max, other.max);
+    }
+
+    /**
+     * Returns the count of values recorded.
+     *
+     * @return the count of values
+     */
+    public final long getCount() {
+        return count;
+    }
+
+    /**
+     * Returns the sum of values recorded, or zero if no values have been
+     * recorded.
+     *
+     * @return the sum of values, or zero if none
+     */
+    public final long getSum() {
+        return sum;
+    }
+
+    /**
+     * Returns the minimum value recorded, or {@code Integer.MAX_VALUE} if no
+     * values have been recorded.
+     *
+     * @return the minimum value, or {@code Integer.MAX_VALUE} if none
+     */
+    public final int getMin() {
+        return min;
+    }
+
+    /**
+     * Returns the maximum value recorded, or {@code Integer.MIN_VALUE} if no
+     * values have been recorded.
+     *
+     * @return the maximum value, or {@code Integer.MIN_VALUE} if none
+     */
+    public final int getMax() {
+        return max;
+    }
+
+    /**
+     * Returns the arithmetic mean of values recorded, or zero if no values have been
+     * recorded.
+     *
+     * @return the arithmetic mean of values, or zero if none
+     */
+    public final double getAverage() {
+        return getCount() > 0 ? (double) getSum() / getCount() : 0.0d;
+    }
+
+    @Override
+    /**
+     * {@inheritDoc}
+     *
+     * Returns a non-empty string representation of this object suitable for
+     * debugging. The exact presentation format is unspecified and may vary
+     * between implementations and versions.
+     */
+    public String toString() {
+        return String.format(
+            "%s{count=%d, sum=%d, min=%d, average=%f, max=%d}",
+            this.getClass().getSimpleName(),
+            getCount(),
+            getSum(),
+            getMin(),
+            getAverage(),
+            getMax());
+    }
+}
diff --git a/ojluni/src/main/java/java/util/LongSummaryStatistics.java b/ojluni/src/main/java/java/util/LongSummaryStatistics.java
new file mode 100644
index 0000000..2ba3959
--- /dev/null
+++ b/ojluni/src/main/java/java/util/LongSummaryStatistics.java
@@ -0,0 +1,182 @@
+/*
+ * Copyright (c) 2012, 2013, Oracle and/or its affiliates. All rights reserved.
+ * DO NOT ALTER OR REMOVE COPYRIGHT NOTICES OR THIS FILE HEADER.
+ *
+ * This code is free software; you can redistribute it and/or modify it
+ * under the terms of the GNU General Public License version 2 only, as
+ * published by the Free Software Foundation.  Oracle designates this
+ * particular file as subject to the "Classpath" exception as provided
+ * by Oracle in the LICENSE file that accompanied this code.
+ *
+ * This code is distributed in the hope that it will be useful, but WITHOUT
+ * ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or
+ * FITNESS FOR A PARTICULAR PURPOSE.  See the GNU General Public License
+ * version 2 for more details (a copy is included in the LICENSE file that
+ * accompanied this code).
+ *
+ * You should have received a copy of the GNU General Public License version
+ * 2 along with this work; if not, write to the Free Software Foundation,
+ * Inc., 51 Franklin St, Fifth Floor, Boston, MA 02110-1301 USA.
+ *
+ * Please contact Oracle, 500 Oracle Parkway, Redwood Shores, CA 94065 USA
+ * or visit www.oracle.com if you need additional information or have any
+ * questions.
+ */
+package java.util;
+
+import java.util.function.IntConsumer;
+import java.util.function.LongConsumer;
+
+/**
+ * A state object for collecting statistics such as count, min, max, sum, and
+ * average.
+ *
+ * <p>This class is designed to work with (though does not require)
+ * {@linkplain java.util.stream streams}. For example, you can compute
+ * summary statistics on a stream of longs with:
+ * <pre> {@code
+ * LongSummaryStatistics stats = longStream.collect(LongSummaryStatistics::new,
+ *                                                  LongSummaryStatistics::accept,
+ *                                                  LongSummaryStatistics::combine);
+ * }</pre>
+ *
+ * <p>{@code LongSummaryStatistics} can be used as a
+ * {@linkplain java.util.stream.Stream#collect(Collector)} reduction}
+ * target for a {@linkplain java.util.stream.Stream stream}. For example:
+ *
+ * <pre> {@code
+ * LongSummaryStatistics stats = people.stream()
+ *                                     .collect(Collectors.summarizingLong(Person::getAge));
+ *}</pre>
+ *
+ * This computes, in a single pass, the count of people, as well as the minimum,
+ * maximum, sum, and average of their ages.
+ *
+ * @implNote This implementation is not thread safe. However, it is safe to use
+ * {@link java.util.stream.Collectors#summarizingLong(java.util.function.ToLongFunction)
+ * Collectors.toLongStatistics()} on a parallel stream, because the parallel
+ * implementation of {@link java.util.stream.Stream#collect Stream.collect()}
+ * provides the necessary partitioning, isolation, and merging of results for
+ * safe and efficient parallel execution.
+ *
+ * <p>This implementation does not check for overflow of the sum.
+ * @since 1.8
+ */
+public class LongSummaryStatistics implements LongConsumer, IntConsumer {
+    private long count;
+    private long sum;
+    private long min = Long.MAX_VALUE;
+    private long max = Long.MIN_VALUE;
+
+    /**
+     * Construct an empty instance with zero count, zero sum,
+     * {@code Long.MAX_VALUE} min, {@code Long.MIN_VALUE} max and zero
+     * average.
+     */
+    public LongSummaryStatistics() { }
+
+    /**
+     * Records a new {@code int} value into the summary information.
+     *
+     * @param value the input value
+     */
+    @Override
+    public void accept(int value) {
+        accept((long) value);
+    }
+
+    /**
+     * Records a new {@code long} value into the summary information.
+     *
+     * @param value the input value
+     */
+    @Override
+    public void accept(long value) {
+        ++count;
+        sum += value;
+        min = Math.min(min, value);
+        max = Math.max(max, value);
+    }
+
+    /**
+     * Combines the state of another {@code LongSummaryStatistics} into this
+     * one.
+     *
+     * @param other another {@code LongSummaryStatistics}
+     * @throws NullPointerException if {@code other} is null
+     */
+    public void combine(LongSummaryStatistics other) {
+        count += other.count;
+        sum += other.sum;
+        min = Math.min(min, other.min);
+        max = Math.max(max, other.max);
+    }
+
+    /**
+     * Returns the count of values recorded.
+     *
+     * @return the count of values
+     */
+    public final long getCount() {
+        return count;
+    }
+
+    /**
+     * Returns the sum of values recorded, or zero if no values have been
+     * recorded.
+     *
+     * @return the sum of values, or zero if none
+     */
+    public final long getSum() {
+        return sum;
+    }
+
+    /**
+     * Returns the minimum value recorded, or {@code Long.MAX_VALUE} if no
+     * values have been recorded.
+     *
+     * @return the minimum value, or {@code Long.MAX_VALUE} if none
+     */
+    public final long getMin() {
+        return min;
+    }
+
+    /**
+     * Returns the maximum value recorded, or {@code Long.MIN_VALUE} if no
+     * values have been recorded
+     *
+     * @return the maximum value, or {@code Long.MIN_VALUE} if none
+     */
+    public final long getMax() {
+        return max;
+    }
+
+    /**
+     * Returns the arithmetic mean of values recorded, or zero if no values have been
+     * recorded.
+     *
+     * @return The arithmetic mean of values, or zero if none
+     */
+    public final double getAverage() {
+        return getCount() > 0 ? (double) getSum() / getCount() : 0.0d;
+    }
+
+    @Override
+    /**
+     * {@inheritDoc}
+     *
+     * Returns a non-empty string representation of this object suitable for
+     * debugging. The exact presentation format is unspecified and may vary
+     * between implementations and versions.
+     */
+    public String toString() {
+        return String.format(
+            "%s{count=%d, sum=%d, min=%d, average=%f, max=%d}",
+            this.getClass().getSimpleName(),
+            getCount(),
+            getSum(),
+            getMin(),
+            getAverage(),
+            getMax());
+    }
+}
diff --git a/openjdk_java_files.mk b/openjdk_java_files.mk
index fc69ca4..a88ab72 100644
--- a/openjdk_java_files.mk
+++ b/openjdk_java_files.mk
@@ -695,6 +695,9 @@
     ojluni/src/main/java/java/util/OptionalDouble.java \
     ojluni/src/main/java/java/util/PrimitiveIterator.java \
     ojluni/src/main/java/java/util/Tripwire.java \
+    ojluni/src/main/java/java/util/DoubleSummaryStatistics.java \
+    ojluni/src/main/java/java/util/IntSummaryStatistics.java \
+    ojluni/src/main/java/java/util/LongSummaryStatistics.java \
     ojluni/src/main/java/java/util/function/BiConsumer.java \
     ojluni/src/main/java/java/util/function/BiFunction.java \
     ojluni/src/main/java/java/util/function/BinaryOperator.java \