diff --git a/tests/components/recorder/models_schema_23_with_newer_columns.py b/tests/components/recorder/models_schema_23_with_newer_columns.py
new file mode 100644
index 00000000000..a086aa588d4
--- /dev/null
+++ b/tests/components/recorder/models_schema_23_with_newer_columns.py
@@ -0,0 +1,613 @@
+"""Models for SQLAlchemy.
+
+This file contains the model definitions for schema version 23
+used by Home Assistant Core 2021.11.0, which adds the name column
+to statistics_meta.
+
+The v23 schema as been slightly modified to add the EventData table to
+allow the recorder to startup successfully.
+
+It is used to test the schema migration logic.
+"""
+from __future__ import annotations
+
+from datetime import datetime, timedelta
+import json
+import logging
+from typing import TypedDict, overload
+
+from sqlalchemy import (
+    BigInteger,
+    Boolean,
+    Column,
+    DateTime,
+    Float,
+    ForeignKey,
+    Identity,
+    Index,
+    Integer,
+    SmallInteger,
+    String,
+    Text,
+    distinct,
+)
+from sqlalchemy.dialects import mysql, oracle, postgresql
+from sqlalchemy.ext.declarative import declared_attr
+from sqlalchemy.orm import declarative_base, relationship
+from sqlalchemy.orm.session import Session
+
+from homeassistant.const import (
+    MAX_LENGTH_EVENT_CONTEXT_ID,
+    MAX_LENGTH_EVENT_EVENT_TYPE,
+    MAX_LENGTH_EVENT_ORIGIN,
+    MAX_LENGTH_STATE_DOMAIN,
+    MAX_LENGTH_STATE_ENTITY_ID,
+    MAX_LENGTH_STATE_STATE,
+)
+from homeassistant.core import Context, Event, EventOrigin, State, split_entity_id
+from homeassistant.helpers.json import JSONEncoder
+import homeassistant.util.dt as dt_util
+
+# SQLAlchemy Schema
+# pylint: disable=invalid-name
+Base = declarative_base()
+
+SCHEMA_VERSION = 23
+
+_LOGGER = logging.getLogger(__name__)
+
+DB_TIMEZONE = "+00:00"
+
+TABLE_EVENTS = "events"
+TABLE_STATES = "states"
+TABLE_RECORDER_RUNS = "recorder_runs"
+TABLE_SCHEMA_CHANGES = "schema_changes"
+TABLE_STATISTICS = "statistics"
+TABLE_STATISTICS_META = "statistics_meta"
+TABLE_STATISTICS_RUNS = "statistics_runs"
+TABLE_STATISTICS_SHORT_TERM = "statistics_short_term"
+TABLE_EVENT_DATA = "event_data"
+
+ALL_TABLES = [
+    TABLE_STATES,
+    TABLE_EVENTS,
+    TABLE_RECORDER_RUNS,
+    TABLE_SCHEMA_CHANGES,
+    TABLE_STATISTICS,
+    TABLE_STATISTICS_META,
+    TABLE_STATISTICS_RUNS,
+    TABLE_STATISTICS_SHORT_TERM,
+]
+
+DATETIME_TYPE = DateTime(timezone=True).with_variant(
+    mysql.DATETIME(timezone=True, fsp=6), "mysql"
+)
+DOUBLE_TYPE = (
+    Float()
+    .with_variant(mysql.DOUBLE(asdecimal=False), "mysql")
+    .with_variant(oracle.DOUBLE_PRECISION(), "oracle")
+    .with_variant(postgresql.DOUBLE_PRECISION(), "postgresql")
+)
+
+
+class Events(Base):  # type: ignore
+    """Event history data."""
+
+    __table_args__ = (
+        # Used for fetching events at a specific time
+        # see logbook
+        Index("ix_events_event_type_time_fired", "event_type", "time_fired"),
+        {"mysql_default_charset": "utf8mb4", "mysql_collate": "utf8mb4_unicode_ci"},
+    )
+    __tablename__ = TABLE_EVENTS
+    event_id = Column(Integer, Identity(), primary_key=True)
+    event_type = Column(String(MAX_LENGTH_EVENT_EVENT_TYPE))
+    event_data = Column(Text().with_variant(mysql.LONGTEXT, "mysql"))
+    origin = Column(String(MAX_LENGTH_EVENT_ORIGIN))
+    origin_idx = Column(
+        SmallInteger
+    )  # *** Not originally in v23, only added for recorder to startup ok
+    time_fired = Column(DATETIME_TYPE, index=True)
+    created = Column(DATETIME_TYPE, default=dt_util.utcnow)
+    context_id = Column(String(MAX_LENGTH_EVENT_CONTEXT_ID), index=True)
+    context_user_id = Column(String(MAX_LENGTH_EVENT_CONTEXT_ID), index=True)
+    context_parent_id = Column(String(MAX_LENGTH_EVENT_CONTEXT_ID), index=True)
+    data_id = Column(
+        Integer, ForeignKey("event_data.data_id"), index=True
+    )  # *** Not originally in v23, only added for recorder to startup ok
+    event_data_rel = relationship(
+        "EventData"
+    )  # *** Not originally in v23, only added for recorder to startup ok
+
+    def __repr__(self) -> str:
+        """Return string representation of instance for debugging."""
+        return (
+            f"<recorder.Events("
+            f"id={self.event_id}, type='{self.event_type}', data='{self.event_data}', "
+            f"origin='{self.origin}', time_fired='{self.time_fired}'"
+            f")>"
+        )
+
+    @staticmethod
+    def from_event(event, event_data=None):
+        """Create an event database object from a native event."""
+        return Events(
+            event_type=event.event_type,
+            event_data=event_data
+            or json.dumps(event.data, cls=JSONEncoder, separators=(",", ":")),
+            origin=str(event.origin.value),
+            time_fired=event.time_fired,
+            context_id=event.context.id,
+            context_user_id=event.context.user_id,
+            context_parent_id=event.context.parent_id,
+        )
+
+    def to_native(self, validate_entity_id=True):
+        """Convert to a native HA Event."""
+        context = Context(
+            id=self.context_id,
+            user_id=self.context_user_id,
+            parent_id=self.context_parent_id,
+        )
+        try:
+            return Event(
+                self.event_type,
+                json.loads(self.event_data),
+                EventOrigin(self.origin),
+                process_timestamp(self.time_fired),
+                context=context,
+            )
+        except ValueError:
+            # When json.loads fails
+            _LOGGER.exception("Error converting to event: %s", self)
+            return None
+
+
+# *** Not originally in v23, only added for recorder to startup ok
+# This is not being tested by the v23 statistics migration tests
+class EventData(Base):  # type: ignore[misc,valid-type]
+    """Event data history."""
+
+    __table_args__ = (
+        {"mysql_default_charset": "utf8mb4", "mysql_collate": "utf8mb4_unicode_ci"},
+    )
+    __tablename__ = TABLE_EVENT_DATA
+    data_id = Column(Integer, Identity(), primary_key=True)
+    hash = Column(BigInteger, index=True)
+    # Note that this is not named attributes to avoid confusion with the states table
+    shared_data = Column(Text().with_variant(mysql.LONGTEXT, "mysql"))
+
+
+class States(Base):  # type: ignore
+    """State change history."""
+
+    __table_args__ = (
+        # Used for fetching the state of entities at a specific time
+        # (get_states in history.py)
+        Index("ix_states_entity_id_last_updated", "entity_id", "last_updated"),
+        {"mysql_default_charset": "utf8mb4", "mysql_collate": "utf8mb4_unicode_ci"},
+    )
+    __tablename__ = TABLE_STATES
+    state_id = Column(Integer, Identity(), primary_key=True)
+    domain = Column(String(MAX_LENGTH_STATE_DOMAIN))
+    entity_id = Column(String(MAX_LENGTH_STATE_ENTITY_ID))
+    state = Column(String(MAX_LENGTH_STATE_STATE))
+    attributes = Column(Text().with_variant(mysql.LONGTEXT, "mysql"))
+    event_id = Column(
+        Integer, ForeignKey("events.event_id", ondelete="CASCADE"), index=True
+    )
+    last_changed = Column(DATETIME_TYPE, default=dt_util.utcnow)
+    last_updated = Column(DATETIME_TYPE, default=dt_util.utcnow, index=True)
+    created = Column(DATETIME_TYPE, default=dt_util.utcnow)
+    old_state_id = Column(Integer, ForeignKey("states.state_id"), index=True)
+    event = relationship("Events", uselist=False)
+    old_state = relationship("States", remote_side=[state_id])
+
+    def __repr__(self) -> str:
+        """Return string representation of instance for debugging."""
+        return (
+            f"<recorder.States("
+            f"id={self.state_id}, domain='{self.domain}', entity_id='{self.entity_id}', "
+            f"state='{self.state}', event_id='{self.event_id}', "
+            f"last_updated='{self.last_updated.isoformat(sep=' ', timespec='seconds')}', "
+            f"old_state_id={self.old_state_id}"
+            f")>"
+        )
+
+    @staticmethod
+    def from_event(event):
+        """Create object from a state_changed event."""
+        entity_id = event.data["entity_id"]
+        state = event.data.get("new_state")
+
+        dbstate = States(entity_id=entity_id)
+
+        # State got deleted
+        if state is None:
+            dbstate.state = ""
+            dbstate.domain = split_entity_id(entity_id)[0]
+            dbstate.attributes = "{}"
+            dbstate.last_changed = event.time_fired
+            dbstate.last_updated = event.time_fired
+        else:
+            dbstate.domain = state.domain
+            dbstate.state = state.state
+            dbstate.attributes = json.dumps(
+                dict(state.attributes), cls=JSONEncoder, separators=(",", ":")
+            )
+            dbstate.last_changed = state.last_changed
+            dbstate.last_updated = state.last_updated
+
+        return dbstate
+
+    def to_native(self, validate_entity_id=True):
+        """Convert to an HA state object."""
+        try:
+            return State(
+                self.entity_id,
+                self.state,
+                json.loads(self.attributes),
+                process_timestamp(self.last_changed),
+                process_timestamp(self.last_updated),
+                # Join the events table on event_id to get the context instead
+                # as it will always be there for state_changed events
+                context=Context(id=None),
+                validate_entity_id=validate_entity_id,
+            )
+        except ValueError:
+            # When json.loads fails
+            _LOGGER.exception("Error converting row to state: %s", self)
+            return None
+
+
+class StatisticResult(TypedDict):
+    """Statistic result data class.
+
+    Allows multiple datapoints for the same statistic_id.
+    """
+
+    meta: StatisticMetaData
+    stat: StatisticData
+
+
+class StatisticDataBase(TypedDict):
+    """Mandatory fields for statistic data class."""
+
+    start: datetime
+
+
+class StatisticData(StatisticDataBase, total=False):
+    """Statistic data class."""
+
+    mean: float
+    min: float
+    max: float
+    last_reset: datetime | None
+    state: float
+    sum: float
+
+
+class StatisticsBase:
+    """Statistics base class."""
+
+    id = Column(Integer, Identity(), primary_key=True)
+    created = Column(DATETIME_TYPE, default=dt_util.utcnow)
+
+    @declared_attr
+    def metadata_id(self):
+        """Define the metadata_id column for sub classes."""
+        return Column(
+            Integer,
+            ForeignKey(f"{TABLE_STATISTICS_META}.id", ondelete="CASCADE"),
+            index=True,
+        )
+
+    start = Column(DATETIME_TYPE, index=True)
+    mean = Column(DOUBLE_TYPE)
+    min = Column(DOUBLE_TYPE)
+    max = Column(DOUBLE_TYPE)
+    last_reset = Column(DATETIME_TYPE)
+    state = Column(DOUBLE_TYPE)
+    sum = Column(DOUBLE_TYPE)
+
+    @classmethod
+    def from_stats(cls, metadata_id: int, stats: StatisticData):
+        """Create object from a statistics."""
+        return cls(  # type: ignore
+            metadata_id=metadata_id,
+            **stats,
+        )
+
+
+class Statistics(Base, StatisticsBase):  # type: ignore
+    """Long term statistics."""
+
+    duration = timedelta(hours=1)
+
+    __table_args__ = (
+        # Used for fetching statistics for a certain entity at a specific time
+        Index("ix_statistics_statistic_id_start", "metadata_id", "start"),
+    )
+    __tablename__ = TABLE_STATISTICS
+
+
+class StatisticsShortTerm(Base, StatisticsBase):  # type: ignore
+    """Short term statistics."""
+
+    duration = timedelta(minutes=5)
+
+    __table_args__ = (
+        # Used for fetching statistics for a certain entity at a specific time
+        Index("ix_statistics_short_term_statistic_id_start", "metadata_id", "start"),
+    )
+    __tablename__ = TABLE_STATISTICS_SHORT_TERM
+
+
+class StatisticMetaData(TypedDict):
+    """Statistic meta data class."""
+
+    has_mean: bool
+    has_sum: bool
+    name: str | None
+    source: str
+    statistic_id: str
+    unit_of_measurement: str | None
+
+
+class StatisticsMeta(Base):  # type: ignore
+    """Statistics meta data."""
+
+    __table_args__ = (
+        {"mysql_default_charset": "utf8mb4", "mysql_collate": "utf8mb4_unicode_ci"},
+    )
+    __tablename__ = TABLE_STATISTICS_META
+    id = Column(Integer, Identity(), primary_key=True)
+    statistic_id = Column(String(255), index=True)
+    source = Column(String(32))
+    unit_of_measurement = Column(String(255))
+    has_mean = Column(Boolean)
+    has_sum = Column(Boolean)
+    name = Column(String(255))
+
+    @staticmethod
+    def from_meta(meta: StatisticMetaData) -> StatisticsMeta:
+        """Create object from meta data."""
+        return StatisticsMeta(**meta)
+
+
+class RecorderRuns(Base):  # type: ignore
+    """Representation of recorder run."""
+
+    __table_args__ = (Index("ix_recorder_runs_start_end", "start", "end"),)
+    __tablename__ = TABLE_RECORDER_RUNS
+    run_id = Column(Integer, Identity(), primary_key=True)
+    start = Column(DateTime(timezone=True), default=dt_util.utcnow)
+    end = Column(DateTime(timezone=True))
+    closed_incorrect = Column(Boolean, default=False)
+    created = Column(DateTime(timezone=True), default=dt_util.utcnow)
+
+    def __repr__(self) -> str:
+        """Return string representation of instance for debugging."""
+        end = (
+            f"'{self.end.isoformat(sep=' ', timespec='seconds')}'" if self.end else None
+        )
+        return (
+            f"<recorder.RecorderRuns("
+            f"id={self.run_id}, start='{self.start.isoformat(sep=' ', timespec='seconds')}', "
+            f"end={end}, closed_incorrect={self.closed_incorrect}, "
+            f"created='{self.created.isoformat(sep=' ', timespec='seconds')}'"
+            f")>"
+        )
+
+    def entity_ids(self, point_in_time=None):
+        """Return the entity ids that existed in this run.
+
+        Specify point_in_time if you want to know which existed at that point
+        in time inside the run.
+        """
+        session = Session.object_session(self)
+
+        assert session is not None, "RecorderRuns need to be persisted"
+
+        query = session.query(distinct(States.entity_id)).filter(
+            States.last_updated >= self.start
+        )
+
+        if point_in_time is not None:
+            query = query.filter(States.last_updated < point_in_time)
+        elif self.end is not None:
+            query = query.filter(States.last_updated < self.end)
+
+        return [row[0] for row in query]
+
+    def to_native(self, validate_entity_id=True):
+        """Return self, native format is this model."""
+        return self
+
+
+class SchemaChanges(Base):  # type: ignore
+    """Representation of schema version changes."""
+
+    __tablename__ = TABLE_SCHEMA_CHANGES
+    change_id = Column(Integer, Identity(), primary_key=True)
+    schema_version = Column(Integer)
+    changed = Column(DateTime(timezone=True), default=dt_util.utcnow)
+
+    def __repr__(self) -> str:
+        """Return string representation of instance for debugging."""
+        return (
+            f"<recorder.SchemaChanges("
+            f"id={self.change_id}, schema_version={self.schema_version}, "
+            f"changed='{self.changed.isoformat(sep=' ', timespec='seconds')}'"
+            f")>"
+        )
+
+
+class StatisticsRuns(Base):  # type: ignore
+    """Representation of statistics run."""
+
+    __tablename__ = TABLE_STATISTICS_RUNS
+    run_id = Column(Integer, Identity(), primary_key=True)
+    start = Column(DateTime(timezone=True))
+
+    def __repr__(self) -> str:
+        """Return string representation of instance for debugging."""
+        return (
+            f"<recorder.StatisticsRuns("
+            f"id={self.run_id}, start='{self.start.isoformat(sep=' ', timespec='seconds')}', "
+            f")>"
+        )
+
+
+@overload
+def process_timestamp(ts: None) -> None:
+    ...
+
+
+@overload
+def process_timestamp(ts: datetime) -> datetime:
+    ...
+
+
+def process_timestamp(ts: datetime | None) -> datetime | None:
+    """Process a timestamp into datetime object."""
+    if ts is None:
+        return None
+    if ts.tzinfo is None:
+        return ts.replace(tzinfo=dt_util.UTC)
+
+    return dt_util.as_utc(ts)
+
+
+@overload
+def process_timestamp_to_utc_isoformat(ts: None) -> None:
+    ...
+
+
+@overload
+def process_timestamp_to_utc_isoformat(ts: datetime) -> str:
+    ...
+
+
+def process_timestamp_to_utc_isoformat(ts: datetime | None) -> str | None:
+    """Process a timestamp into UTC isotime."""
+    if ts is None:
+        return None
+    if ts.tzinfo == dt_util.UTC:
+        return ts.isoformat()
+    if ts.tzinfo is None:
+        return f"{ts.isoformat()}{DB_TIMEZONE}"
+    return ts.astimezone(dt_util.UTC).isoformat()
+
+
+class LazyState(State):
+    """A lazy version of core State."""
+
+    __slots__ = [
+        "_row",
+        "entity_id",
+        "state",
+        "_attributes",
+        "_last_changed",
+        "_last_updated",
+        "_context",
+    ]
+
+    def __init__(self, row):  # pylint: disable=super-init-not-called
+        """Init the lazy state."""
+        self._row = row
+        self.entity_id = self._row.entity_id
+        self.state = self._row.state or ""
+        self._attributes = None
+        self._last_changed = None
+        self._last_updated = None
+        self._context = None
+
+    @property  # type: ignore
+    def attributes(self):
+        """State attributes."""
+        if not self._attributes:
+            try:
+                self._attributes = json.loads(self._row.attributes)
+            except ValueError:
+                # When json.loads fails
+                _LOGGER.exception("Error converting row to state: %s", self._row)
+                self._attributes = {}
+        return self._attributes
+
+    @attributes.setter
+    def attributes(self, value):
+        """Set attributes."""
+        self._attributes = value
+
+    @property  # type: ignore
+    def context(self):
+        """State context."""
+        if not self._context:
+            self._context = Context(id=None)
+        return self._context
+
+    @context.setter
+    def context(self, value):
+        """Set context."""
+        self._context = value
+
+    @property  # type: ignore
+    def last_changed(self):
+        """Last changed datetime."""
+        if not self._last_changed:
+            self._last_changed = process_timestamp(self._row.last_changed)
+        return self._last_changed
+
+    @last_changed.setter
+    def last_changed(self, value):
+        """Set last changed datetime."""
+        self._last_changed = value
+
+    @property  # type: ignore
+    def last_updated(self):
+        """Last updated datetime."""
+        if not self._last_updated:
+            self._last_updated = process_timestamp(self._row.last_updated)
+        return self._last_updated
+
+    @last_updated.setter
+    def last_updated(self, value):
+        """Set last updated datetime."""
+        self._last_updated = value
+
+    def as_dict(self):
+        """Return a dict representation of the LazyState.
+
+        Async friendly.
+
+        To be used for JSON serialization.
+        """
+        if self._last_changed:
+            last_changed_isoformat = self._last_changed.isoformat()
+        else:
+            last_changed_isoformat = process_timestamp_to_utc_isoformat(
+                self._row.last_changed
+            )
+        if self._last_updated:
+            last_updated_isoformat = self._last_updated.isoformat()
+        else:
+            last_updated_isoformat = process_timestamp_to_utc_isoformat(
+                self._row.last_updated
+            )
+        return {
+            "entity_id": self.entity_id,
+            "state": self.state,
+            "attributes": self._attributes or self.attributes,
+            "last_changed": last_changed_isoformat,
+            "last_updated": last_updated_isoformat,
+        }
+
+    def __eq__(self, other):
+        """Return the comparison."""
+        return (
+            other.__class__ in [self.__class__, State]
+            and self.entity_id == other.entity_id
+            and self.state == other.state
+            and self.attributes == other.attributes
+        )
diff --git a/tests/components/recorder/test_statistics_v23_migration.py b/tests/components/recorder/test_statistics_v23_migration.py
new file mode 100644
index 00000000000..d487743a87f
--- /dev/null
+++ b/tests/components/recorder/test_statistics_v23_migration.py
@@ -0,0 +1,618 @@
+"""The tests for sensor recorder platform migrating statistics from v23.
+
+The v23 schema used for these tests has been slightly modified to add the
+EventData table to allow the recorder to startup successfully.
+"""
+# pylint: disable=protected-access,invalid-name
+import importlib
+import json
+import sys
+from unittest.mock import patch
+
+import pytest
+from sqlalchemy import create_engine
+from sqlalchemy.orm import Session
+
+from homeassistant.components import recorder
+from homeassistant.components.recorder import SQLITE_URL_PREFIX, statistics
+from homeassistant.components.recorder.util import session_scope
+from homeassistant.setup import setup_component
+import homeassistant.util.dt as dt_util
+
+from tests.common import get_test_home_assistant
+from tests.components.recorder.common import wait_recording_done
+
+ORIG_TZ = dt_util.DEFAULT_TIME_ZONE
+
+CREATE_ENGINE_TARGET = "homeassistant.components.recorder.core.create_engine"
+SCHEMA_MODULE = "tests.components.recorder.models_schema_23_with_newer_columns"
+
+
+def _create_engine_test(*args, **kwargs):
+    """Test version of create_engine that initializes with old schema.
+
+    This simulates an existing db with the old schema.
+    """
+    importlib.import_module(SCHEMA_MODULE)
+    old_models = sys.modules[SCHEMA_MODULE]
+    engine = create_engine(*args, **kwargs)
+    old_models.Base.metadata.create_all(engine)
+    with Session(engine) as session:
+        session.add(recorder.models.StatisticsRuns(start=statistics.get_start_time()))
+        session.add(
+            recorder.models.SchemaChanges(schema_version=old_models.SCHEMA_VERSION)
+        )
+        session.commit()
+    return engine
+
+
+def test_delete_duplicates(caplog, tmpdir):
+    """Test removal of duplicated statistics."""
+    test_db_file = tmpdir.mkdir("sqlite").join("test_run_info.db")
+    dburl = f"{SQLITE_URL_PREFIX}//{test_db_file}"
+
+    importlib.import_module(SCHEMA_MODULE)
+    old_models = sys.modules[SCHEMA_MODULE]
+
+    period1 = dt_util.as_utc(dt_util.parse_datetime("2021-09-01 00:00:00"))
+    period2 = dt_util.as_utc(dt_util.parse_datetime("2021-09-30 23:00:00"))
+    period3 = dt_util.as_utc(dt_util.parse_datetime("2021-10-01 00:00:00"))
+    period4 = dt_util.as_utc(dt_util.parse_datetime("2021-10-31 23:00:00"))
+
+    external_energy_statistics_1 = (
+        {
+            "start": period1,
+            "last_reset": None,
+            "state": 0,
+            "sum": 2,
+        },
+        {
+            "start": period2,
+            "last_reset": None,
+            "state": 1,
+            "sum": 3,
+        },
+        {
+            "start": period3,
+            "last_reset": None,
+            "state": 2,
+            "sum": 4,
+        },
+        {
+            "start": period4,
+            "last_reset": None,
+            "state": 3,
+            "sum": 5,
+        },
+        {
+            "start": period4,
+            "last_reset": None,
+            "state": 3,
+            "sum": 5,
+        },
+    )
+    external_energy_metadata_1 = {
+        "has_mean": False,
+        "has_sum": True,
+        "name": "Total imported energy",
+        "source": "test",
+        "statistic_id": "test:total_energy_import_tariff_1",
+        "unit_of_measurement": "kWh",
+    }
+    external_energy_statistics_2 = (
+        {
+            "start": period1,
+            "last_reset": None,
+            "state": 0,
+            "sum": 20,
+        },
+        {
+            "start": period2,
+            "last_reset": None,
+            "state": 1,
+            "sum": 30,
+        },
+        {
+            "start": period3,
+            "last_reset": None,
+            "state": 2,
+            "sum": 40,
+        },
+        {
+            "start": period4,
+            "last_reset": None,
+            "state": 3,
+            "sum": 50,
+        },
+        {
+            "start": period4,
+            "last_reset": None,
+            "state": 3,
+            "sum": 50,
+        },
+    )
+    external_energy_metadata_2 = {
+        "has_mean": False,
+        "has_sum": True,
+        "name": "Total imported energy",
+        "source": "test",
+        "statistic_id": "test:total_energy_import_tariff_2",
+        "unit_of_measurement": "kWh",
+    }
+    external_co2_statistics = (
+        {
+            "start": period1,
+            "last_reset": None,
+            "mean": 10,
+        },
+        {
+            "start": period2,
+            "last_reset": None,
+            "mean": 30,
+        },
+        {
+            "start": period3,
+            "last_reset": None,
+            "mean": 60,
+        },
+        {
+            "start": period4,
+            "last_reset": None,
+            "mean": 90,
+        },
+    )
+    external_co2_metadata = {
+        "has_mean": True,
+        "has_sum": False,
+        "name": "Fossil percentage",
+        "source": "test",
+        "statistic_id": "test:fossil_percentage",
+        "unit_of_measurement": "%",
+    }
+
+    # Create some duplicated statistics with schema version 23
+    with patch.object(recorder, "models", old_models), patch.object(
+        recorder.migration, "SCHEMA_VERSION", old_models.SCHEMA_VERSION
+    ), patch(CREATE_ENGINE_TARGET, new=_create_engine_test):
+        hass = get_test_home_assistant()
+        setup_component(hass, "recorder", {"recorder": {"db_url": dburl}})
+        wait_recording_done(hass)
+        wait_recording_done(hass)
+
+        with session_scope(hass=hass) as session:
+            session.add(
+                recorder.models.StatisticsMeta.from_meta(external_energy_metadata_1)
+            )
+            session.add(
+                recorder.models.StatisticsMeta.from_meta(external_energy_metadata_2)
+            )
+            session.add(recorder.models.StatisticsMeta.from_meta(external_co2_metadata))
+        with session_scope(hass=hass) as session:
+            for stat in external_energy_statistics_1:
+                session.add(recorder.models.Statistics.from_stats(1, stat))
+            for stat in external_energy_statistics_2:
+                session.add(recorder.models.Statistics.from_stats(2, stat))
+            for stat in external_co2_statistics:
+                session.add(recorder.models.Statistics.from_stats(3, stat))
+
+        hass.stop()
+        dt_util.DEFAULT_TIME_ZONE = ORIG_TZ
+
+    # Test that the duplicates are removed during migration from schema 23
+    hass = get_test_home_assistant()
+    setup_component(hass, "recorder", {"recorder": {"db_url": dburl}})
+    hass.start()
+    wait_recording_done(hass)
+    wait_recording_done(hass)
+    hass.stop()
+    dt_util.DEFAULT_TIME_ZONE = ORIG_TZ
+
+    assert "Deleted 2 duplicated statistics rows" in caplog.text
+    assert "Found non identical" not in caplog.text
+    assert "Found duplicated" not in caplog.text
+
+
+def test_delete_duplicates_many(caplog, tmpdir):
+    """Test removal of duplicated statistics."""
+    test_db_file = tmpdir.mkdir("sqlite").join("test_run_info.db")
+    dburl = f"{SQLITE_URL_PREFIX}//{test_db_file}"
+
+    importlib.import_module(SCHEMA_MODULE)
+    old_models = sys.modules[SCHEMA_MODULE]
+
+    period1 = dt_util.as_utc(dt_util.parse_datetime("2021-09-01 00:00:00"))
+    period2 = dt_util.as_utc(dt_util.parse_datetime("2021-09-30 23:00:00"))
+    period3 = dt_util.as_utc(dt_util.parse_datetime("2021-10-01 00:00:00"))
+    period4 = dt_util.as_utc(dt_util.parse_datetime("2021-10-31 23:00:00"))
+
+    external_energy_statistics_1 = (
+        {
+            "start": period1,
+            "last_reset": None,
+            "state": 0,
+            "sum": 2,
+        },
+        {
+            "start": period2,
+            "last_reset": None,
+            "state": 1,
+            "sum": 3,
+        },
+        {
+            "start": period3,
+            "last_reset": None,
+            "state": 2,
+            "sum": 4,
+        },
+        {
+            "start": period4,
+            "last_reset": None,
+            "state": 3,
+            "sum": 5,
+        },
+        {
+            "start": period4,
+            "last_reset": None,
+            "state": 3,
+            "sum": 5,
+        },
+    )
+    external_energy_metadata_1 = {
+        "has_mean": False,
+        "has_sum": True,
+        "name": "Total imported energy",
+        "source": "test",
+        "statistic_id": "test:total_energy_import_tariff_1",
+        "unit_of_measurement": "kWh",
+    }
+    external_energy_statistics_2 = (
+        {
+            "start": period1,
+            "last_reset": None,
+            "state": 0,
+            "sum": 20,
+        },
+        {
+            "start": period2,
+            "last_reset": None,
+            "state": 1,
+            "sum": 30,
+        },
+        {
+            "start": period3,
+            "last_reset": None,
+            "state": 2,
+            "sum": 40,
+        },
+        {
+            "start": period4,
+            "last_reset": None,
+            "state": 3,
+            "sum": 50,
+        },
+        {
+            "start": period4,
+            "last_reset": None,
+            "state": 3,
+            "sum": 50,
+        },
+    )
+    external_energy_metadata_2 = {
+        "has_mean": False,
+        "has_sum": True,
+        "name": "Total imported energy",
+        "source": "test",
+        "statistic_id": "test:total_energy_import_tariff_2",
+        "unit_of_measurement": "kWh",
+    }
+    external_co2_statistics = (
+        {
+            "start": period1,
+            "last_reset": None,
+            "mean": 10,
+        },
+        {
+            "start": period2,
+            "last_reset": None,
+            "mean": 30,
+        },
+        {
+            "start": period3,
+            "last_reset": None,
+            "mean": 60,
+        },
+        {
+            "start": period4,
+            "last_reset": None,
+            "mean": 90,
+        },
+    )
+    external_co2_metadata = {
+        "has_mean": True,
+        "has_sum": False,
+        "name": "Fossil percentage",
+        "source": "test",
+        "statistic_id": "test:fossil_percentage",
+        "unit_of_measurement": "%",
+    }
+
+    # Create some duplicated statistics with schema version 23
+    with patch.object(recorder, "models", old_models), patch.object(
+        recorder.migration, "SCHEMA_VERSION", old_models.SCHEMA_VERSION
+    ), patch(CREATE_ENGINE_TARGET, new=_create_engine_test):
+        hass = get_test_home_assistant()
+        setup_component(hass, "recorder", {"recorder": {"db_url": dburl}})
+        wait_recording_done(hass)
+        wait_recording_done(hass)
+
+        with session_scope(hass=hass) as session:
+            session.add(
+                recorder.models.StatisticsMeta.from_meta(external_energy_metadata_1)
+            )
+            session.add(
+                recorder.models.StatisticsMeta.from_meta(external_energy_metadata_2)
+            )
+            session.add(recorder.models.StatisticsMeta.from_meta(external_co2_metadata))
+        with session_scope(hass=hass) as session:
+            for stat in external_energy_statistics_1:
+                session.add(recorder.models.Statistics.from_stats(1, stat))
+            for _ in range(3000):
+                session.add(
+                    recorder.models.Statistics.from_stats(
+                        1, external_energy_statistics_1[-1]
+                    )
+                )
+            for stat in external_energy_statistics_2:
+                session.add(recorder.models.Statistics.from_stats(2, stat))
+            for stat in external_co2_statistics:
+                session.add(recorder.models.Statistics.from_stats(3, stat))
+
+        hass.stop()
+        dt_util.DEFAULT_TIME_ZONE = ORIG_TZ
+
+    # Test that the duplicates are removed during migration from schema 23
+    hass = get_test_home_assistant()
+    setup_component(hass, "recorder", {"recorder": {"db_url": dburl}})
+    hass.start()
+    wait_recording_done(hass)
+    wait_recording_done(hass)
+    hass.stop()
+    dt_util.DEFAULT_TIME_ZONE = ORIG_TZ
+
+    assert "Deleted 3002 duplicated statistics rows" in caplog.text
+    assert "Found non identical" not in caplog.text
+    assert "Found duplicated" not in caplog.text
+
+
+@pytest.mark.freeze_time("2021-08-01 00:00:00+00:00")
+def test_delete_duplicates_non_identical(caplog, tmpdir):
+    """Test removal of duplicated statistics."""
+    test_db_file = tmpdir.mkdir("sqlite").join("test_run_info.db")
+    dburl = f"{SQLITE_URL_PREFIX}//{test_db_file}"
+
+    importlib.import_module(SCHEMA_MODULE)
+    old_models = sys.modules[SCHEMA_MODULE]
+
+    period1 = dt_util.as_utc(dt_util.parse_datetime("2021-09-01 00:00:00"))
+    period2 = dt_util.as_utc(dt_util.parse_datetime("2021-09-30 23:00:00"))
+    period3 = dt_util.as_utc(dt_util.parse_datetime("2021-10-01 00:00:00"))
+    period4 = dt_util.as_utc(dt_util.parse_datetime("2021-10-31 23:00:00"))
+
+    external_energy_statistics_1 = (
+        {
+            "start": period1,
+            "last_reset": None,
+            "state": 0,
+            "sum": 2,
+        },
+        {
+            "start": period2,
+            "last_reset": None,
+            "state": 1,
+            "sum": 3,
+        },
+        {
+            "start": period3,
+            "last_reset": None,
+            "state": 2,
+            "sum": 4,
+        },
+        {
+            "start": period4,
+            "last_reset": None,
+            "state": 3,
+            "sum": 5,
+        },
+        {
+            "start": period4,
+            "last_reset": None,
+            "state": 3,
+            "sum": 6,
+        },
+    )
+    external_energy_metadata_1 = {
+        "has_mean": False,
+        "has_sum": True,
+        "name": "Total imported energy",
+        "source": "test",
+        "statistic_id": "test:total_energy_import_tariff_1",
+        "unit_of_measurement": "kWh",
+    }
+    external_energy_statistics_2 = (
+        {
+            "start": period1,
+            "last_reset": None,
+            "state": 0,
+            "sum": 20,
+        },
+        {
+            "start": period2,
+            "last_reset": None,
+            "state": 1,
+            "sum": 30,
+        },
+        {
+            "start": period3,
+            "last_reset": None,
+            "state": 2,
+            "sum": 40,
+        },
+        {
+            "start": period4,
+            "last_reset": None,
+            "state": 3,
+            "sum": 50,
+        },
+        {
+            "start": period4,
+            "last_reset": None,
+            "state": 3,
+            "sum": 50,
+        },
+    )
+    external_energy_metadata_2 = {
+        "has_mean": False,
+        "has_sum": True,
+        "name": "Total imported energy",
+        "source": "test",
+        "statistic_id": "test:total_energy_import_tariff_2",
+        "unit_of_measurement": "kWh",
+    }
+
+    # Create some duplicated statistics with schema version 23
+    with patch.object(recorder, "models", old_models), patch.object(
+        recorder.migration, "SCHEMA_VERSION", old_models.SCHEMA_VERSION
+    ), patch(CREATE_ENGINE_TARGET, new=_create_engine_test):
+        hass = get_test_home_assistant()
+        setup_component(hass, "recorder", {"recorder": {"db_url": dburl}})
+        wait_recording_done(hass)
+        wait_recording_done(hass)
+
+        with session_scope(hass=hass) as session:
+            session.add(
+                recorder.models.StatisticsMeta.from_meta(external_energy_metadata_1)
+            )
+            session.add(
+                recorder.models.StatisticsMeta.from_meta(external_energy_metadata_2)
+            )
+        with session_scope(hass=hass) as session:
+            for stat in external_energy_statistics_1:
+                session.add(recorder.models.Statistics.from_stats(1, stat))
+            for stat in external_energy_statistics_2:
+                session.add(recorder.models.Statistics.from_stats(2, stat))
+
+        hass.stop()
+        dt_util.DEFAULT_TIME_ZONE = ORIG_TZ
+
+    # Test that the duplicates are removed during migration from schema 23
+    hass = get_test_home_assistant()
+    hass.config.config_dir = tmpdir
+    setup_component(hass, "recorder", {"recorder": {"db_url": dburl}})
+    hass.start()
+    wait_recording_done(hass)
+    wait_recording_done(hass)
+    hass.stop()
+    dt_util.DEFAULT_TIME_ZONE = ORIG_TZ
+
+    assert "Deleted 2 duplicated statistics rows" in caplog.text
+    assert "Deleted 1 non identical" in caplog.text
+    assert "Found duplicated" not in caplog.text
+
+    isotime = dt_util.utcnow().isoformat()
+    backup_file_name = f".storage/deleted_statistics.{isotime}.json"
+
+    with open(hass.config.path(backup_file_name)) as backup_file:
+        backup = json.load(backup_file)
+
+    assert backup == [
+        {
+            "duplicate": {
+                "created": "2021-08-01T00:00:00",
+                "id": 4,
+                "last_reset": None,
+                "max": None,
+                "mean": None,
+                "metadata_id": 1,
+                "min": None,
+                "start": "2021-10-31T23:00:00",
+                "state": 3.0,
+                "sum": 5.0,
+            },
+            "original": {
+                "created": "2021-08-01T00:00:00",
+                "id": 5,
+                "last_reset": None,
+                "max": None,
+                "mean": None,
+                "metadata_id": 1,
+                "min": None,
+                "start": "2021-10-31T23:00:00",
+                "state": 3.0,
+                "sum": 6.0,
+            },
+        }
+    ]
+
+
+def test_delete_duplicates_short_term(caplog, tmpdir):
+    """Test removal of duplicated statistics."""
+    test_db_file = tmpdir.mkdir("sqlite").join("test_run_info.db")
+    dburl = f"{SQLITE_URL_PREFIX}//{test_db_file}"
+
+    importlib.import_module(SCHEMA_MODULE)
+    old_models = sys.modules[SCHEMA_MODULE]
+
+    period4 = dt_util.as_utc(dt_util.parse_datetime("2021-10-31 23:00:00"))
+
+    external_energy_metadata_1 = {
+        "has_mean": False,
+        "has_sum": True,
+        "name": "Total imported energy",
+        "source": "test",
+        "statistic_id": "test:total_energy_import_tariff_1",
+        "unit_of_measurement": "kWh",
+    }
+    statistic_row = {
+        "start": period4,
+        "last_reset": None,
+        "state": 3,
+        "sum": 5,
+    }
+
+    # Create some duplicated statistics with schema version 23
+    with patch.object(recorder, "models", old_models), patch.object(
+        recorder.migration, "SCHEMA_VERSION", old_models.SCHEMA_VERSION
+    ), patch(CREATE_ENGINE_TARGET, new=_create_engine_test):
+        hass = get_test_home_assistant()
+        setup_component(hass, "recorder", {"recorder": {"db_url": dburl}})
+        wait_recording_done(hass)
+        wait_recording_done(hass)
+
+        with session_scope(hass=hass) as session:
+            session.add(
+                recorder.models.StatisticsMeta.from_meta(external_energy_metadata_1)
+            )
+        with session_scope(hass=hass) as session:
+            session.add(
+                recorder.models.StatisticsShortTerm.from_stats(1, statistic_row)
+            )
+            session.add(
+                recorder.models.StatisticsShortTerm.from_stats(1, statistic_row)
+            )
+
+        hass.stop()
+        dt_util.DEFAULT_TIME_ZONE = ORIG_TZ
+
+    # Test that the duplicates are removed during migration from schema 23
+    hass = get_test_home_assistant()
+    hass.config.config_dir = tmpdir
+    setup_component(hass, "recorder", {"recorder": {"db_url": dburl}})
+    hass.start()
+    wait_recording_done(hass)
+    wait_recording_done(hass)
+    hass.stop()
+    dt_util.DEFAULT_TIME_ZONE = ORIG_TZ
+
+    assert "duplicated statistics rows" not in caplog.text
+    assert "Found non identical" not in caplog.text
+    assert "Deleted duplicated short term statistic" in caplog.text