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An overview of the Statistics toolset

The Statistics toolset contains tools that perform standard statistical analysis (such as mean, minimum, maximum, and standard deviation) on attribute data as well as tools that calculate area, length, and count statistics for overlapping and neighboring features. The toolset also includes the Enrich Layer tool that adds demographic and landscape facts that surround your data.

ToolDescription

Enrich Layer

Enriches your data by adding demographic and landscape facts about the people and places that surround or are inside your data locations. The output is a duplicate of your input with new attribute fields added to the table. This tool requires an ArcGIS Online organizational account and consumes credits.

Frequency

Reads a table and a set of fields and creates a new table containing unique field values and the number of occurrences of each unique field value.

Summarize Nearby

Finds features that are within a specified distance of features in the input layer and calculates statistics for the nearby features. Distance can be measured as a straight-line distance, a drive-time distance (for example, within 10 minutes), or a drive distance (within 5 kilometers). Drive-time and drive distance measurements require that you are logged in to an ArcGIS Online organizational account with Network Analysis privileges, and they consume credits.

Summarize Within

Overlays a polygon layer with another layer to summarize the number of points, length of the lines, or area of the polygons within each polygon, and calculate attribute field statistics about those features within the polygons.

Summary Statistics

Calculates summary statistics for field(s) in a table.

Tabulate Intersection

Computes the intersection between two feature classes and cross-tabulates the area, length, or count of the intersecting features.

Tools in the Statistics toolset

Related toolboxes

There are a variety of tools that produce statistics based on spatial relationships and can be found in the following toolboxes:

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