Postgres 14

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create table data (id int, origin int ,type varchar(10),date timestamp);
insert into data values
 (1 	,1111,'A','2021-11-09 10:01:31.001')
,(2 	,1111,'A','2021-11-08 03:02:22.020')
,(3 	,1111,'B','2021-10-01 11:03:13.003')
,(4 	,2222,'A','2021-11-07 13:04:54.040')
,(5 	,3333,'B','2021-11-09 20:05:45.005')
,(6 	,3333,'B','2021-11-08 21:06:36.060')
,(7 	,3333,'B','2021-11-08 00:07:27.700');
7 rows affected

  select origin,  count(*) ,max(type) xt , min(type) mt
  from data
  where date >  now() - interval '7 days'
  group by origin


origin
count
xt
mt


2222
1
A
A

3333
3
B
B

1111
2
A
A


select count(*) filter(where xt = 'A' and xt = mt) * 100.0 / count(*) typeA
, count(*) filter(where xt = 'B' and xt = mt) * 100.0 / count(*) typeB
, count(*) filter (where xt <> mt) * 100.0 / count(*) BothTypes
from (
  select origin,  count(*) ,max(type) xt , min(type) mt
  from data
  where date >  now() - interval '7 days'
  group by origin
 ) t 


typea
typeb
bothtypes


66.6666666666666667
33.3333333333333333
0.00000000000000000000