FORMULA & SQL / TOTALS

Rank rows within each group.
Tested, not guessed.

The Excel and Google Sheets formula and the SQL query, each run on the rows below. Open this with your own data ↗

The example rows

Row	A: Region	B: Rep	C: Amount	D: Order Date	E: Status	F: Customer
2	North	Ana	1,200	2026-03-01	Paid	Jo Smith
3	South	Ben	450	2026-03-15	Open	Raj Patel
4	North	Cy	300	2026-04-02	Paid	Lee Wong
5	East	Ana	980.50	2026-04-20	Paid	Mia Ross
6	North	Ben	75	2026-05-05	Open	Jo Smith
7	West	Dee	1,640	2026-05-18	Paid	Sam Okoro

Excel

=COUNTIFS(A:A,A2,C:C,">"&C2)+1

The number of rows where the Region column (A:A) is Region (A2) and the Amount column (C:C) is more than Amount (C2) plus 1.

Run on the example rows:

PostgreSQL

SELECT *, RANK() OVER (PARTITION BY region ORDER BY amount DESC) AS rank_in_group
FROM sales

Run on the example rows:

region	rep	amount	order_date	status	customer	rank_in_group
East	Ana	980.5	2026-04-20	Paid	Mia Ross	1
North	Ana	1200	2026-03-01	Paid	Jo Smith	1
North	Cy	300	2026-04-02	Paid	Lee Wong	2
North	Ben	75	2026-05-05	Open	Jo Smith	3
South	Ben	450	2026-03-15	Open	Raj Patel	1
West	Dee	1640	2026-05-18	Paid	Sam Okoro	1

Other databases

MySQL

SELECT *, RANK() OVER (PARTITION BY region ORDER BY amount DESC) AS rank_in_group
FROM sales

SQL Server

SELECT *, RANK() OVER (PARTITION BY region ORDER BY amount DESC) AS rank_in_group
FROM sales

SQLite

SELECT *, RANK() OVER (PARTITION BY region ORDER BY amount DESC) AS rank_in_group
FROM sales

BigQuery

SELECT *, RANK() OVER (PARTITION BY region ORDER BY amount DESC) AS rank_in_group
FROM sales

Snowflake

SELECT *, RANK() OVER (PARTITION BY region ORDER BY amount DESC) AS rank_in_group
FROM sales

Paste your rows into the free tool and it writes this for your columns, then runs it on your data before you copy it. Open the tool ↗