Greater Bridgeport Planning Region, CT
Migration of people and income, 2022–2023 filing years
At a glance (2023)
Cost of living is the metro-area price level for Bridgeport-Stamford-Danbury, CT.
The cost of living runs about 7% above the national average. The median home is valued at $397,000 (nominal). Home prices have risen about 51% over the five years to 2023. Median rent is about $1,482 a month. Unemployment averaged 3.6% in 2023 (national 3.6%). Median household income is $87,135. These figures describe all residents, not just tax filers, come from separate sources than the migration data on this page, and do not indicate why anyone moved.
Between the 2022 and 2023 filing years, Greater Bridgeport Planning Region, CT saw a net loss of 1,370 tax-filing households and a net loss of 1,164 individuals. Against a population of about 327,651, that is a net outflow of about 3.6 per 1,000 residents. On net, the area lost $61M in associated adjusted gross income (AGI, nominal dollars). The largest inflow, about 1,761 households, came from Western Connecticut Planning Region; the largest outflow, about 1,640 households, went to Naugatuck Valley Planning Region. In the prior (2022) filing year, the area saw a net loss of 1,342 individuals. These figures cover federal income tax filers only and do not indicate why people moved.
-3.6 net people per 1,000 residents (population 327,651)
Income (AGI) in and out
Greater Bridgeport Planning Region within Connecticut
Greater Bridgeport Planning Region is outlined, with arrows tracing its largest moves to and from other Connecticut counties. Hover any county for its figures; click to open it.
Where movers came from
- 1Western Connecticut Planning Region, CT1,761$198.6M
- 2South Central Connecticut Planning Region, CT827$60.7M
- 3Naugatuck Valley Planning Region, CT807$50.3M
- 4Bronx County, NY664$37.7M
- 5Westchester County, NY368$35M
- 6New York County, NY267$45.4M
- 7Queens County, NY256$21.7M
- 8Kings County, NY239$25M
- 9Nassau County, NY72$11.1M
- 10Suffolk County, NY60$5.2M
Where movers went
- 1Naugatuck Valley Planning Region, CT1,640$108.4M
- 2South Central Connecticut Planning Region, CT1,376$90.4M
- 3Western Connecticut Planning Region, CT1,159$115.4M
- 4New York County, NY323$40.6M
- 5Bronx County, NY186$8.4M
- 6Kings County, NY145$10.6M
- 7Westchester County, NY129$8.6M
- 8Suffolk County, MA117$13.7M
- 9Queens County, NY108$6.3M
- 10Palm Beach County, FL83$34.9M
Churn by county · both directions at once
The biggest two-way exchanges of filing households, 2022–2023. Moved in and moved out are gross one-way counts; net is the difference. Click a column to sort.
| Western Connecticut Planning Region, CT | 1,761 | 1,159 | +602 | +$83.2M |
| Naugatuck Valley Planning Region, CT | 807 | 1,640 | -833 | -$58.1M |
| South Central Connecticut Planning Region, CT | 827 | 1,376 | -549 | -$29.7M |
| Bronx County, NY | 664 | 186 | +478 | +$29.4M |
| New York County, NY | 267 | 323 | -56 | +$4.8M |
| Westchester County, NY | 368 | 129 | +239 | +$26.5M |
| Kings County, NY | 239 | 145 | +94 | +$14.4M |
| Queens County, NY | 256 | 108 | +148 | +$15.4M |
| Suffolk County, MA | 41 | 117 | -76 | -$10.4M |
| Palm Beach County, FL | 49 | 83 | -34 | -$29.6M |
| Middlesex County, MA | 49 | 79 | -30 | +$2M |
| Lower Connecticut River Valley Planning Region, CT | 38 | 77 | -39 | -$1.1M |
Counts are filing households (IRS returns), matching the lists above; income is nominal AGI. A dash means the IRS published only one direction of that exchange (small flows are suppressed), so no net is computed.
Net migration by year
| Year | Net AGI | Net people |
|---|---|---|
| 2022 | -$59.9M | -1,342 |
| 2023 | -$61M | -1,164 |
How big is this move, relative to the county?
In the 2022–2023 filing year, about 1,164 more people left Greater Bridgeport Planning Region, CT than moved in (counting tax filers and their dependents) — a net loss of about $61M in income (nominal) — in a county of 332,081 people.
The rate lets you compare Greater Bridgeport Planning Region, CT with a countyof any size: it’s the net flow divided by population. The IRS counts tax filers; population counts all residents, so read the rate as a scale indicator, not a literal share of people.
Components of population change · 2023 (Census)
Where the county’s overall change came from. Census counts all residents; the IRS migration above is one slice of the domestic-migration component.
Source: U.S. Census Bureau, Population Estimates Program. Figures are people, not tax filers.
The people of Greater Bridgeport Planning Region, CT
American Community Survey, 2019–2023 (a 5-year average of all residents, not just tax filers).
White, Black, and Asian counts are people who are not Hispanic or Latino; Hispanic or Latino can be of any race. Shares are rounded and may not total 100.
Source: U.S. Census Bureau, American Community Survey 5-year estimates. Covers all residents, a separate universe from the IRS filer data. A 5-year estimate is an average over 2019–2023; compare years at least five apart, since consecutive windows overlap. How the data works.
Housing · what it costs to live here (ACS 2019–2023)
A repeat-sales index (how much the same homes changed in price), so it tracks the market over time rather than the current level. Source: Federal Housing Finance Agency, annual all-transactions HPI; the county series is FHFA’s developmental index.
Units authorized by residential building permits (new supply), summed from counties for the state and U.S. Permits are authorizations, not completions. Source: U.S. Census Bureau, Building Permits Survey.
Home value is what owners estimate their homes are worth, not recent sale prices. Source: U.S. Census Bureau, American Community Survey 5-year estimates (2019–2023), nominal dollars. How the data works.
Jobs and natural hazards
Sources: U.S. Bureau of Labor Statistics (LAUS) and FEMA. A disaster declaration marks federal assistance eligibility, not damage severity, and says nothing about why anyone moved. How the data works.
Source: U.S. Bureau of Labor Statistics (LAUS). Monthly unemployment for this county, not seasonally adjusted. Updated every month, so it moves faster than the annual average above. How the data works.
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