Census Tract 1656
Open-data reference.
South Central Connecticut Planning Region County, Connecticut · New Haven GEOID: 09170165600
Tract Snapshot: Census Tract 1656, South Central Connecticut Planning Region County, CT
Census Tract 1656 is located in South Central Connecticut Planning Region County, Connecticut, inside the municipal boundary of New Haven, and contains a population of approximately 5,019 residents per Census ACS 2023 five-year estimates. Median household income here is $67,643 — a figure the Census Bureau classifies as "Near National Median" when compared with the 2023 national median near $77,000. Median gross rent sits at $1,510 per month, a useful benchmark for renters comparing local housing costs against nearby neighborhoods. Typical owner-occupied homes are valued around $204,800. The tract's poverty rate is 15.8%, measured as the share of residents with income below the federal poverty threshold.
Census tracts are small, relatively permanent statistical subdivisions of a county designed by the U.S. Census Bureau to contain roughly 1,200 to 8,000 residents, with boundaries held stable across decades so researchers can track neighborhoods over time. Tract-level figures from the American Community Survey are five-year rolling averages rather than snapshots — that smoothing reduces year-to-year noise in small areas but also means the numbers you see here describe the period ending in the reference year rather than a single moment. For context, we link back to the parent city and state pages where you can compare this tract against its neighbors.
Source: U.S. Census Bureau — American Community Survey 5-Year 2023 · GEOID: 09170165600 · Note: ACS margins of error widen at tract level
Location
- Census Tract
- Tract 1656
- GEOID (FIPS)
- 09170165600
- County
- South Central Connecticut Planning Region County
- State
- Connecticut
- Nearest City
- New Haven
- Coordinates
- 41.355900, -72.932356
Income & Housing
Census ACS 5-Year 2023 estimates for this tract
| Metric | Value | Context | Source |
|---|---|---|---|
| Median Household Income | $67,643 | Near National Median vs. US ~$77,000 | ACS 2023 5-Year |
| Median Gross Rent | $1,510/mo | Includes utilities in estimate | ACS 2023 5-Year |
| Median Home Value | $204,800 | Owner-occupied units only | ACS 2023 5-Year |
| Poverty Rate | 15.8% | Below federal poverty threshold | ACS 2023 5-Year |
Explore More Data for New Haven, CT
What do people ask about New Haven, CT?
What is the population of Census Tract 1656? +
Census Tract 1656 in South Central Connecticut Planning Region County, Connecticut has a population of approximately 5,019, based on U.S. Census Bureau ACS 2023 estimates.
What is the median household income in Census Tract 1656? +
The median household income in Census Tract 1656 (South Central Connecticut Planning Region County, CT) is $67,643, based on ACS 5-Year 2023 data. This is considered "Near National Median" relative to the national median of approximately $77,000.
What is the median rent in this area? +
The estimated median gross rent in Census Tract 1656 is $1,510 per month, according to Census ACS 2023 data.
What is the poverty rate in Census Tract 1656? +
Approximately 15.8% of residents in Census Tract 1656 have income below the federal poverty threshold, based on Census ACS 2023 data.
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- Understanding Cost of Living — Compare income, housing, and poverty data across cities
- How to Read Census Data — Understand margins of error and ACS estimates
Source: U.S. Census Bureau ACS 5-Year Estimates 2023. Census tract boundaries and GEOID from 2023 TIGER/Line files. Population and income data may reflect margins of error for smaller tracts. Last updated: 2026 U.S. Census Bureau ACS 5-Year Estimates 2023. Census tract boundaries and GEOID from 2023 TIGER/Line files. Population and income data may reflect margins of error for smaller tracts. Last updated: 2026
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Disclaimer: This information is provided for informational purposes only and does not constitute professional advice. Data is sourced from the U.S. Census Bureau ACS. Consult a qualified professional before making decisions based on this data.
Read our methodology — how this data is sourced, computed, and verified.