diff --git a/source/_integrations/statistics.markdown b/source/_integrations/statistics.markdown
index cf97bfe3e31..ce4d0635d8e 100644
--- a/source/_integrations/statistics.markdown
+++ b/source/_integrations/statistics.markdown
@@ -45,10 +45,12 @@ The following characteristics are supported for `sensor` source sensors:
 | `average_timeless` | The average value of stored measurements. This method assumes that all measurements are equally spaced and, therefore, time is ignored and a simple average of values is computed. Equal to `mean`.
 | `change_sample` | The average change per sample. The difference between the oldest and newest measurement is divided by the number of in-between measurements (n-1).
 | `change_second` | The average change per second. The difference between the oldest and newest measurement is divided by seconds between them.
-| `change` | The difference between the oldest and newest measurement stored.
+| `change` | The difference between the oldest and newest measurement.
 | `count` | The number of stored source sensor readings. This number is limited by `sampling_size` and can be low within the bounds of `max_age`.
-| `datetime_newest` | The timestamp of the newest measurement stored.
-| `datetime_oldest` | The timestamp of the oldest measurement stored.
+| `datetime_newest` | The timestamp of the newest measurement.
+| `datetime_oldest` | The timestamp of the oldest measurement.
+| `datetime_value_max` | The timestamp of the numerically biggest measurement.
+| `datetime_value_min` | The timestamp of the numerically smallest measurement.
 | `distance_95_percent_of_values` | A statistical indicator derived from the standard deviation of an assumed normal distribution. 95% of all stored values fall into a range of returned size.
 | `distance_99_percent_of_values` | A statistical indicator derived from the standard deviation of an assumed normal distribution. 99% of all stored values fall into a range of returned size.
 | `distance_absolute` | The difference between the extreme values of measurements. Equals `value_max` minus `value_min`.
@@ -70,7 +72,11 @@ The following characteristic are supported for `binary_sensor` source sensors:
 | -------------------- | ----------- |
 | `average_step` | A percentage of time across all stored measurements, in which the binary source sensor was "On". If over the course of one hour, movement was detected for 6 minutes, the `average_step` is 10%.
 | `average_timeless` | The percentage of stored measurements, for which the binary source sensor was "On". Time in on/off states is ignored. If over the course of one hour, a single movement was detected, the `average_timeless` is 33.3% (assuming the stored measurements "Off", "On", "Off"). Equal to `mean`.
-| `count` | The number of stored source sensor readings. This number is limited by `sampling_size` and can be low within the bounds of `max_age`.
+| `count` | The number of stored source sensor readings.
+| `count_on` | The number of stored source sensor readings with the value "On". Be aware that only value changes are registered by default, except if the source sensor has the property `force_update`.
+| `count_off` | The number of stored source sensor readings with the value "Off". Be aware that only value changes are registered by default, except if the source sensor has the property `force_update`.
+| `datetime_newest` | The timestamp of the newest measurement.
+| `datetime_oldest` | The timestamp of the oldest measurement.
 | `mean` | The percentage of stored measurements, for which the binary source sensor was "On". Time in on/off states is ignored. If over the course of one hour, a single movement was detected, the `average_timeless` is 33.3% (assuming the stored measurements "Off", "On", "Off").
 
 ## Attributes