Medical interpreters in Syracuse
AI-powered medical interpretation, in real time, across the Syracuse metro area, available instantly on the phones, tablets, and computers your teams already use.
Census data shows 60,996 residents in the Syracuse metro area who use a language other than English at home.
Source: U.S. Census Bureau, 2024 American Community Survey 1-year estimates.
| Metro area | Speak a language other than English | Limited-English residents |
|---|---|---|
| Rochester | 117,545 | 47,882 |
| Syracuse | 60,996 | 24,026 |
| Utica-Rome | 31,702 | 12,405 |
| Binghamton | 18,456 | 5,981 |
The 15 most spoken languages after English in the Syracuse metro area
- 1Spanish16,767
- 2Arabic5,507
- 3Chinese3,941
- 4Amharic, Somali & other Afro-Asiatic3,271
- 5French3,039
- 6Swahili & other African languages3,029
- 7Ukrainian & other Slavic2,529
- 8Serbo-Croatian1,913
- 9Other Asian languages1,884
- 10Vietnamese1,855
- 11Tagalog1,837
- 12Persian1,602
- 13Italian1,485
- 14German1,399
- 15Russian1,007
10%
of Syracuse metro area residents speak a language other than English at home.
24,026
Syracuse metro area residents speak English less than “very well”: the federal threshold for needing language assistance.
#125
highest limited-English share for the Syracuse area among the 200 largest U.S. metro areas.
Source: U.S. Census Bureau, 2024 American Community Survey 1-year estimates.
Meet Opalite.
Real-time AI medical interpretation in 150+ languages and dialects, connecting providers and patients in seconds.
- Works on the devices care teams already carry: phones, tablets, computers, and telehealth platforms
- Integrates with all EHRs
- Built for HIPAA-compliant healthcare
- SOC 2 Type II attested security controls
FAQ: medical interpretation in Syracuse
60,996 people in the Syracuse metro area (9.8% of residents) speak a language other than English at home, and 24,026 of them speak English less than “very well” (ACS 2024).
More metro areas in New York
No patient should go unheard.
See how Opalite makes every visit flow in the patient’s language, in seconds.