diff --git a/README.md b/README.md
index b87746ea..9428a1e7 100644
--- a/README.md
+++ b/README.md
@@ -1190,7 +1190,7 @@ Redshift
 ### Redshift Tips
 
 -	Although Redshift is mostly Postgres-compatible, its SQL dialect and performance profile are different.
--	Redshift supports only [11 primitive data types](https://docs.aws.amazon.com/redshift/latest/dg/c_Supported_data_types.html). ([List of unsupported Postgres types](https://docs.aws.amazon.com/redshift/latest/dg/c_unsupported-postgresql-datatypes.html)\)
+-	Redshift supports only [12 primitive data types](https://docs.aws.amazon.com/redshift/latest/dg/c_Supported_data_types.html). ([List of unsupported Postgres types](https://docs.aws.amazon.com/redshift/latest/dg/c_unsupported-postgresql-datatypes.html)\)
 -	It has a leader node and computation nodes (the leader node distributes queries to the computation ones). Note that some functions [can be executed only on the lead node.](https://docs.aws.amazon.com/redshift/latest/dg/c_SQL_functions_leader_node_only.html)
 -	Major 3rd-party BI tools support Redshift integration (see [Quora](https://www.quora.com/Which-BI-visualisation-solution-goes-best-with-Redshift)).
 -	[Top 10 Performance Tuning Techniques for Amazon Redshift](https://blogs.aws.amazon.com/bigdata/post/Tx31034QG0G3ED1/Top-10-Performance-Tuning-Techniques-for-Amazon-Redshift) provides an excellent list of performance tuning techniques.