Want to transfer data from Visual FoxPro query results to Access table?
Try Withdata DBCopier, a Visual FoxPro to Access converter for Windows, Mac, and Linux, Copy Visual FoxPro query to Access, Easy and Fast.
- Can run in GUI mode, Step by Step, just a few mouse clicks.
- Can run in Command line, for Scheduled Tasks and Streams.
- Support Windows, Linux, and macOS.
Transfer data from Visual FoxPro query To Access table
Login to Visual FoxPro and Access -> Enter source Visual FoxPro query -> Set target Access table -> Copy Visual FoxPro query data to Access table
Choose source Visual FoxPro database and logon.

Choose target Access database and logon.

Click “Convert From Query” at task dialog.

then show the wizard.
1. Set a Visual FoxPro query.

2. Select a destination Access table and config fields.

3. Preview data.

4. Transfer data from Visual FoxPro query result to Access table.

More about Visual FoxPro to Access converter
See also:
- Copy Visual FoxPro table data to Access
- Merge multiple similar Visual FoxPro tables to 1 Access table
- Batch copy Visual FoxPro tables to Access
Visual FoxPro → Access reference
Type mapping
| Value kind | in Visual FoxPro | in Access |
|---|---|---|
| Int | Numeric(10,0) | Long Integer |
| Bigint | Numeric(19,0) | Long Integer |
| Decimal | Numeric(p,s) | Decimal |
| Float | Float | Double |
| Text | Character(n) | Text(n) |
| Long text | Memo | Long Text |
| Date | Date | Date/Time |
| Datetime | DateTime | Date/Time |
| Binary | General | OLE Object |
| Boolean | Logical | Yes/No |
| JSON | (none) | Long Text |
Dialect differences
Both Visual FoxPro and Access are database servers, so the differences below are dialect-level: the same concept is spelled differently on each side.
| Property | in Visual FoxPro | in Access |
|---|---|---|
| identifiers | — | [square brackets] |
| row limit | (driver dependent) | SELECT TOP n |
| dates | Date (D), DateTime (T) | Date/Time |
| long text | Memo (M) | MEMO |
| binary | General (G) | OLE Object |
No counterpart
- Access has no equivalent for JSON – it has to be flattened or dropped.
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