When migrating database records, seeing #NUM! or jumbled months and days is a frustrating roadblock that can corrupt your reporting. If you are working to fix date conversion errors when importing CSV data into Access, the root cause usually boils down to how the Microsoft Access database engine interprets the first few rows of your flat text file versus your Windows operating system's regional settings. Because CSV files lack strict data type formatting, Access guesses the column type based on preliminary scanning. If it guesses incorrectly, or if your source data mixes US (MM/DD/YYYY) and European (DD/MM/YYYY) formats, the import fails entirely. this guide explains the diagnostic checks and sequential actions needed to map your date fields correctly.
What to Check Before Fixing Date Conversion Errors When Importing CSV Data into Access

Before applying a solution to learn fixing Date Conversion Errors When Importing CSV Data into Access, you must determine how the database engine is misreading your file. Open your Access database and review the automatically generated "ImportErrors" table. Recognizing the specific symptom prevents you from applying the wrong fix.
| Symptom in Access Table | Underlying Cause | Diagnostic Check |
|---|---|---|
| Swapped Months and Days | Regional settings override the CSV layout. | Compare your Windows clock date format to row 1 of the CSV. |
| #Error or Blank Cells | Invalid date strings or unparseable text. | Look for text like 'N/A' or out-of-range dates (e.g., 02/30/2024). |
| Time Data Missing completely | Format truncated by database properties. | Check if the target Access column is set to Short Date. |
Fix Date Conversion Errors When Importing CSV Data into Access
The most reliable native method to resolve fixing Date Conversion Errors When Importing CSV Data into Access is defining an explicit Import Specification during the transfer process. This prevents the database from guessing your formats.
- Open your Microsoft Access database and navigate to the External Data tab on the upper ribbon menu.
- Click New Data Source > From File > Text File.
- Click Browse to select your .csv file, select Import the source data into a new table in the current database, and click OK.
- In the Import Text Wizard window, click the Advanced button located in the bottom left corner.
- Locate the Date Order dropdown menu on the right side of the specification screen. Change this to match your raw CSV data exactly (choose MDY, DMY, or YMD).
- Locate the Date Delimiter field directly below and type the exact character used in your file (usually a forward slash / or a hyphen -).
- Click OK to save the specification, then click Next to proceed through the rest of the wizard. Access will now apply your explicit rules instead of defaulting to your Windows regional settings.
Query Design
If your CSV contains irregular date formats that the Import Text Wizard cannot process, you can bypass the automatic conversion entirely. To execute this alternative approach for fixing Date Conversion Errors When Importing CSV Data into Access, you will import the column as plain text, then convert it internally using SQL functions.
- Run the Import Text Wizard as usual, but when you reach the column configuration screen, click on your date column and change the Data Type dropdown from Date/Time to Short Text.
- Complete the import process. Your table will now contain the exact text strings directly from the CSV without generating a Type Conversion Failure table.
- Navigate to the Create tab on the main ribbon and click Query Design.
- Add your newly imported table to the canvas and close the Add Tables dialog box.
- Change the query type by clicking Update in the Query Type section of the ribbon.
- Drag your text-based date column from the table box down into the query design grid.
- In the Update To row of the grid, type the following expression: CDate([YourColumnName]), replacing YourColumnName with the actual header.
- Click the Run button (the red exclamation mark icon) on the ribbon. Open your table in Design View to verify the data is correct, then manually change the table's field property from Short Text to Date/Time.
Use WPS Office for Local Files Related to Fixing Date Conversion Errors When Importing CSV Data into Access

Often, the most efficient way to handle fixing Date Conversion Errors When Importing CSV Data into Access is to sanitize the data before it ever touches your database environment. Microsoft Access inherently trusts the ISO 8601 date format (YYYY-MM-DD). While WPS Office cannot change how Microsoft Access processes internal SQL queries, you can use WPS Spreadsheet to instantly standardize your raw CSV data, preventing the database engine from encountering ambiguity.
- Open WPS Office, launch Spreadsheet, and drag your unformatted .csv file directly into the blank workspace.
- Highlight the entire column containing your problematic date records by clicking the column letter.
- Right-click the highlighted column and choose Format Cells from the context menu.
- Navigate to the Number tab, select Custom from the category list, and type yyyy-mm-dd into the Type input field.
- Click OK. Verify the column now displays uniform, unambiguous dates regardless of their original layout.
- Click Menu > Save As. Ensure the file format dropdown remains set to CSV (Comma Delimited), and save a new copy to your desktop. When you import this cleaned file into Access, the database engine will automatically recognize and parse the YYYY-MM-DD structure without triggering the dreaded ImportErrors table.
FAQs About Fixing Date Conversion Errors When Importing CSV Data into Access
Why does Access change my days and months around during CSV import?
Microsoft Access relies heavily on your Windows operating system's regional settings to interpret ambiguous text dates like 02/03/2024. If your CSV was generated in a UK system (meaning March 2nd) but your local machine is set to the US format, Access will incorrectly parse the string as February 3rd. Using the Import Specification's Advanced settings allows you to override the OS default and declare the correct DMY or MDY order specifically for that file transfer.
Can I force Access to recognize European date formats from a CSV?
Yes. During the initial Import Text Wizard, click the Advanced button in the bottom left corner before finishing the import. In the specification dialog box, change the Date Order dropdown to DMY (Day, Month, Year). This instructs the database engine to prioritize the first two digits as the day, forcing it to recognize European formats accurately regardless of your local Windows time and language settings.
What does the "Type Conversion Failure" table mean in Access?
When Access encounters a value in a CSV row that violates the data type assigned to that specific column, it leaves the destination field blank and logs the error in a separate system table named "ImportErrors." For date fields, this typically indicates that a text string like "TBD", "N/A", or a logically invalid calendar date like "02/30/2024" was found in a column that the wizard had strictly configured for Date/Time values.
How do I stop Access from dropping time data when importing dates?
If your CSV contains combined date and time stamps (for example, 2024-10-15 14:30:00), Access may drop the time portion entirely if the target table column is pre-configured with a "Short Date" format property. To retain both the date and the time elements, you must either import the data into a brand new table where Access will assign the "General Date" format automatically, or you must pre-format your destination table's column property to "General Date" in Design View before executing a saved import.




