The overall average hides 5 different numbers

region splits world-indicators into 5 groups. Here is what year looks like inside each.

• Europe — mean 2,012, median 2,012 (192 rows)
• Americas — mean 2,012, median 2,012 (144 rows)
• Africa — mean 2,012, median 2,012 (144 rows)
• Asia — mean 2,012, median 2,012 (168 rows)
• Oceania — mean 2,012, median 2,012 (72 rows)

Top to bottom that is 2,012 against 2,012. The pooled average is 2,012.

select region,
  count(*)                                          as rows,
  round(avg(year)::numeric, 2)                      as mean,
  percentile_cont(0.5) within group (order by year) as median
from world_indicators
group by 1
order by mean desc;

The groups are close enough that the pooled average is a fair summary. That is worth confirming rather than assuming: the check costs one query and the failure mode is invisible.

Notice the mean and median columns disagree only slightly here. Always compute both in the group-by. The comparison between them per segment is free and tells you whether you are looking at a level difference or a tail difference.

This is the setup for Simpson's paradox — the case where every segment moves one way and the total moves the other.