if tables are linked by any field, you can use a table alias, for example
select count(*) from table1 tb1, table2 tb2, table3 tb3 where
tb1.field1 = tb2.field2 and tb2.field2 = tb3.field3
similar,
delete from table1 tb1, table2 tb2, table3 tb3 where
tb1.field1 = tb2.field2 and tb2.field2 = tb3.field3
You can include the conditions according to your requirements.
If tables are not relevant, use below
SELECT
(SELECT COUNT(*) FROM table1 WHERE someCondition) as count1,
(SELECT COUNT(*) FROM table2 WHERE someCondition) as count2,
(SELECT COUNT(*) FROM table3 WHERE someCondition) as count3
where, .
:
| count1 | count2 | count3 |
| 50 | 36 | 21 |