Taking @dklassen snippet and enhancing a little with multiple tables iteration in a .gdb if that is the case. Outputs table name , total records , field name and number of non NULL/BLANK fields.
from arcpy import env
import arcpy
# Set the current workspace
#
env.workspace = "your path here"
# Get the list of tables in the geodatabase
# print to interactive window.
# get total count records + count of fields excluding nulls/blanks
tableList = arcpy.ListTables()
tableCount = 0
for table in tableList:
tableCount += 1
count = arcpy.GetCount_management(table)
print "******* Table - " + table + ". counts " + str(count) + " records. *******"
# Get list of fields
fields = [f.name for f in arcpy.ListFields(table)]
# Set up dictionary for the fields
countdict = {}
for field in fields:
countdict[field] = 0
# Loop through Table and see which fields are NULL or Blank
cur = arcpy.SearchCursor(table)
for row in cur:
for field in fields:
if not row.getValue(field) in [None, " ", ""]:
countdict[field] = countdict[field] + 1
# Print out results - shows field name and number of non NULL/Blank fields
for f in countdict.keys():
print "%s - %s" % (f, countdict[f])
print "Total tables counted: " + str(tableCount)