# Retrieving Total Counts

In ArcGIS, the Summary Statistics tool is typically used to calculate a total count of unique occurrences in one field by a case field.
This is a table generated by the Summary Statistics tool showing the number of zip codes per state.

However, when you need this information in Python, you can avoid using the Summary Statistics tool and a search cursor. Instead, you can use the Counter class in the collections module. This will create a dictionary of keys and their counts. Here is the Python code and sample of the resulting dictionary:

Python code:

```import collections
import arcpy

zipcode_cnt = collections.Counter(row[0] for row in arcpy.da.SearchCursor("ZipCodeBoundaries", "STATE"))
```

Result:

Counter({u’TX’: 1760, u’CA’: 1702, u’NY’: 1599, u’PA’: 1487, u’IL’: 1278, u’OH’: 1011, u’MO’: 984, u’FL’: 950, u’MI’: 908, u’IA’: 889, u’MN’: 862, u’VA’: 849, u’NC’: 741, u’WI’: 723, u’KY’: 719, u’GA’: 693, u’IN’: 689, u’KS’: 688, u’TN’: 606, u’AL’: 604, u’OK’: 591, u’WV’: 578, u’AR’: 572, u’NE’: 566, u’NJ’: 554, u’WA’: 536, u’MA’: 497, u’LA’: 478, u’CO’: 461, u’MD’: 435, u’ME’: 419, u’OR’: 400, u’MS’: 387, u’SC’: 382, u’ND’: 374, u’SD’: 352, u’AZ’: 334, u’MT’: 321, u’NM’: 284, u’CT’: 270, u’ID’: 252, u’VT’: 248, u’NH’: 243, u’UT’: 226, u’AK’: 213, u’NV’: 151, u’WY’: 141, u’PR’: 119, u’HI’: 90, u’RI’: 76, u’DE’: 59, u’DC’: 26})

Using a key, you can retrieve a value:

>>> print(zipcode_cnt[‘CA’])
1702

See the collections module documentation for more information about the Counter class and other useful container datatypes.