FORMULA & SQL / DATES
Age or years since a date.
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 |
The formula
Excel
=DATEDIF(D2,TODAY(),"Y")
The number of whole years from Order Date (D2) to today.
Run on the example rows:
| Row | Result |
|---|---|
| 2 | 0 |
| 3 | 0 |
| 4 | 0 |
| 5 | 0 |
| 6 | 0 |
| 7 | 0 |
The SQL
PostgreSQL
SELECT *, DATE_PART('year', AGE(order_date)) AS years
FROM salesOther databases
MySQL
SELECT *, TIMESTAMPDIFF(YEAR, order_date, CURDATE()) AS years FROM sales
SQL Server
SELECT *, DATEDIFF(year, order_date, GETDATE()) AS years FROM sales
SQLite
SELECT *, CAST((julianday('now') - julianday(order_date)) / 365.25 AS INTEGER) AS years
FROM salesBigQuery
SELECT *, DATE_DIFF(CURRENT_DATE(), order_date, YEAR) AS years FROM sales
Snowflake
SELECT *, DATEDIFF(year, order_date, CURRENT_DATE) AS years FROM sales
Your own data
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 ↗