diff --git a/pandas/tseries/resample.py b/pandas/tseries/resample.py
index 96ff8c47abc1e..5377543ac8c54 100644
--- a/pandas/tseries/resample.py
+++ b/pandas/tseries/resample.py
@@ -192,7 +192,9 @@ def _get_time_period_bins(self, axis):
         labels = binner = PeriodIndex(start=axis[0], end=axis[-1],
                                       freq=self.freq)
 
-        end_stamps = (labels + 1).asfreq('D', 's').to_timestamp()
+        end_stamps = (labels + 1).asfreq(self.freq, 's').to_timestamp()
+        if axis.tzinfo:
+            end_stamps = end_stamps.tz_localize(axis.tzinfo)
         bins = axis.searchsorted(end_stamps, side='left')
 
         return binner, bins, labels
diff --git a/pandas/tseries/tests/test_timeseries.py b/pandas/tseries/tests/test_timeseries.py
index b8144c2b5eab9..51939ac22e956 100644
--- a/pandas/tseries/tests/test_timeseries.py
+++ b/pandas/tseries/tests/test_timeseries.py
@@ -1836,6 +1836,37 @@ def test_concat_datetime_datetime64_frame(self):
         # it works!
         pd.concat([df1, df2_obj])
 
+    def test_period_resample(self):
+        # GH3609
+        s = Series(range(100),index=date_range('20130101', freq='s', periods=100), dtype='float')
+        s[10:30] = np.nan
+        expected = Series([34.5, 79.5], index=[Period('2013-01-01 00:00', 'T'), Period('2013-01-01 00:01', 'T')])
+        result = s.to_period().resample('T', kind='period')
+        assert_series_equal(result, expected)
+        result2 = s.resample('T', kind='period')
+        assert_series_equal(result2, expected)
+
+    def test_period_resample_with_local_timezone(self):
+        # GH5430
+        _skip_if_no_pytz()
+        import pytz
+
+        local_timezone = pytz.timezone('America/Los_Angeles')
+
+        start = datetime(year=2013, month=11, day=1, hour=0, minute=0, tzinfo=pytz.utc)
+        # 1 day later
+        end = datetime(year=2013, month=11, day=2, hour=0, minute=0, tzinfo=pytz.utc)
+
+        index = pd.date_range(start, end, freq='H')
+
+        series = pd.Series(1, index=index)
+        series = series.tz_convert(local_timezone)
+        result = series.resample('D', kind='period')
+        # Create the expected series
+        expected_index = (pd.period_range(start=start, end=end, freq='D') - 1)  # Index is moved back a day with the timezone conversion from UTC to Pacific
+        expected = pd.Series(1, index=expected_index)
+        assert_series_equal(result, expected)
+
 
 def _simple_ts(start, end, freq='D'):
     rng = date_range(start, end, freq=freq)