SQL to check if the column is blank in multiple tables

I have a SQL which results , the number of tables which uses EMAIl ID field, I have more than 60 tables which uses that EMAILID field. I want to find out how many of those 60 tables have values stored in EMAILID field and how many of them are blank

select table_name, num_rows from dba_tables


Table1 store all information related to Record & fields , what are the fields associated to each table. Table2 stores the record definition.
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slightwv (䄆 Netminder) Commented:
num_rows from dba_tables

num_rows isn't necessarily accurate.  It is based on the table statistics.

Not sure why you are storing table names in another table.

To get what I think you are after, you really don't need to.

Below is a test case based on what I think your requirements are.

If it isn't quite right, please ad to it with additional tables, columns of data and explain why you are add it and I'll try to tweak it.

drop table tab1 purge;
drop table tab2 purge;
drop table tab3 purge;

create table tab1(emailid char(1));
create table tab2(emailid char(1));
create table tab3(emailid char(1));
create table tab4(notanemail char(1));

insert into tab1 values('a');
insert into tab1 values('b');
insert into tab2 values('a');
insert into tab2 values(null);
insert into tab3 values('a');
insert into tab3 values(null);
insert into tab3 values(null);
insert into tab3 values(null);
insert into tab4 values(null);

SELECT table_name, column_name,
                          'select count(*) X from '
                       || table_name
                       || ' where '
                       || column_name
                       || ' is null'
FROM user_tab_cols
where column_name='EMAILID';

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awking00Information Technology SpecialistCommented:
Are you trying to get the number of tables that have an email or url field where any values are blank or where all values are blank?
rsj1977Author Commented:
Yes, I am trying to get the number of tables that have an email or URL field where EMAIL or URL field is blank in table
slightwv (䄆 Netminder) Commented:
Did you take a look at what I posted in http:#a39825561 ?

You can add an additional column check for the URL column.
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