Prefix 92 contains 490 ZIP code records across 193 mapped localities in United States.
Based on 490 records, 490 ZIP code values and 193 mapped localities. Coordinate coverage is 100.0%.
| Postal code | Locality | Administrative path | Coordinates |
|---|---|---|---|
| 92003 | Bonsall | California / San Diego | 33.294, -117.1897 |
| 92004 | Borrego Springs | California / San Diego | 33.2386, -116.3514 |
| 92007 | Cardiff By The Sea | California / San Diego | 33.023, -117.2745 |
| 92008 | Carlsbad | California / San Diego | 33.1602, -117.325 |
| 92009 | Carlsbad | California / San Diego | 33.0954, -117.2619 |
| 92010 | Carlsbad | California / San Diego | 33.1639, -117.3009 |
Use this page to understand country coverage, postal code formats, prefixes and the most useful child pages for lookup or download. The canonical route for this record set is /postal-codes/united-states/codes/92.
| Code | Place | Hierarchy | Coordinates |
|---|---|---|---|
| 92003 | Bonsall | California / San Diego | 33.294, -117.1897 |
| 92004 | Borrego Springs | California / San Diego | 33.2386, -116.3514 |
| 92007 | Cardiff By The Sea | California / San Diego | 33.023, -117.2745 |
| 92008 | Carlsbad | California / San Diego | 33.1602, -117.325 |
| 92009 | Carlsbad | California / San Diego | 33.0954, -117.2619 |
This page lists representative records, localities and nearby ranges for the United States prefix 92 prefix in United States.
The HTML page shows a bounded sample from 490 matching identifiers and points to the country export for complete coverage.
Use it to narrow a lookup when you know the first characters of the code, then confirm locality, region and coordinates.
Compare this range with other active ZIP code prefixes from the same country-level directory.
This page keeps a bounded sample for fast crawling and links each code to its canonical lookup page. Use the country export when you need the full prefix dataset.
| Postal code | Locality | Region | Coordinates |
|---|---|---|---|
| 92003 | Bonsall | California / San Diego | 33.294, -117.1897 |
| 92004 | Borrego Springs | California / San Diego | 33.2386, -116.3514 |
| 92007 | Cardiff By The Sea | California / San Diego | 33.023, -117.2745 |
| 92008 | Carlsbad | California / San Diego | 33.1602, -117.325 |
| 92009 | Carlsbad | California / San Diego | 33.0954, -117.2619 |
| 92010 | Carlsbad | California / San Diego | 33.1639, -117.3009 |
| 92011 | Carlsbad | California / San Diego | 33.1072, -117.2943 |
| 92013 | Carlsbad | California / San Diego | 33.1581, -117.3506 |
| 92014 | Del Mar | California / San Diego | 32.9665, -117.249 |
| 92018 | Carlsbad | California / San Diego | 33.1581, -117.3506 |
| 92019 | El Cajon | California / San Diego | 32.7777, -116.9191 |
| 92020 | El Cajon | California / San Diego | 32.7928, -116.9665 |
| 92021 | El Cajon | California / San Diego | 32.8178, -116.9223 |
| 92022 | El Cajon | California / San Diego | 32.7948, -116.9625 |
| 92023 | Encinitas | California / San Diego | 33.036, -117.292 |
| 92024 | Encinitas | California / San Diego | 33.0535, -117.2689 |
| 92025 | Escondido | California / San Diego | 33.1101, -117.07 |
| 92026 | Escondido | California / San Diego | 33.1605, -117.0978 |
| 92027 | Escondido | California / San Diego | 33.1388, -117.052 |
| 92028 | Fallbrook | California / San Diego | 33.369, -117.229 |
| 92029 | Escondido | California / San Diego | 33.0895, -117.1128 |
| 92030 | Escondido | California / San Diego | 33.1192, -117.0864 |
| 92033 | Escondido | California / San Diego | 33.1192, -117.0864 |
| 92036 | Julian | California / San Diego | 33.0534, -116.5658 |
| 92037 | La Jolla | California / San Diego | 32.8455, -117.2521 |
| 92038 | La Jolla | California / San Diego | 32.8473, -117.2742 |
| 92039 | La Jolla | California / San Diego | 32.8473, -117.2742 |
| 92040 | Lakeside | California / San Diego | 32.8562, -116.9201 |
| 92046 | Escondido | California / San Diego | 33.1192, -117.0864 |
| 92049 | Oceanside | California / San Diego | 33.1959, -117.3795 |
| 92051 | Oceanside | California / San Diego | 33.1959, -117.3795 |
| 92052 | Oceanside | California / San Diego | 33.1959, -117.3795 |
| 92054 | Oceanside | California / San Diego | 33.2072, -117.3573 |
| 92055 | Camp Pendleton | California / San Diego | 33.2433, -117.3768 |
| 92056 | Oceanside | California / San Diego | 33.1968, -117.2831 |
| 92057 | Oceanside | California / San Diego | 33.2407, -117.3025 |
| 92058 | Oceanside | California / San Diego | 33.1959, -117.3795 |
| 92059 | Pala | California / San Diego | 33.3777, -117.0717 |
| 92060 | Palomar Mountain | California / San Diego | 33.3228, -116.8786 |
| 92061 | Pauma Valley | California / San Diego | 33.3063, -116.9596 |
| 92064 | Poway | California / San Diego | 32.9756, -117.0402 |
| 92065 | Ramona | California / San Diego | 33.0293, -116.8535 |
| 92066 | Ranchita | California / San Diego | 33.21, -116.5167 |
| 92067 | Rancho Santa Fe | California / San Diego | 33.005, -117.2157 |
| 92068 | San Luis Rey | California / San Diego | 33.232, -117.3236 |
| 92069 | San Marcos | California / San Diego | 33.1444, -117.1697 |
| 92070 | Santa Ysabel | California / San Diego | 33.1476, -116.6963 |
| 92071 | Santee | California / San Diego | 32.8486, -116.9862 |
| 92072 | Santee | California / San Diego | 32.8384, -116.9739 |
| 92074 | Poway | California / San Diego | 32.9628, -117.0359 |
| 92075 | Solana Beach | California / San Diego | 32.9937, -117.2598 |
| 92078 | San Marcos | California / San Diego | 33.1193, -117.185 |
| 92079 | San Marcos | California / San Diego | 33.1434, -117.1661 |
| 92081 | Vista | California / San Diego | 33.1644, -117.2403 |
| 92082 | Valley Center | California / San Diego | 33.249, -117.0122 |
| 92083 | Vista | California / San Diego | 33.1978, -117.2482 |
| 92084 | Vista | California / San Diego | 33.2131, -117.2243 |
| 92085 | Vista | California / San Diego | 33.2, -117.2425 |
| 92086 | Warner Springs | California / San Diego | 33.3096, -116.6527 |
| 92088 | Fallbrook | California / San Diego | 33.3764, -117.2511 |
Showing 60 representative records from 490 matching codes to keep the page fast and crawlable. Download the United States dataset for complete coverage.