Naugatuck Valley Planning Region, CT
A planning region, and one of the 3,222 county-level areas the Census Bureau reports for the United States. It has no county government of its own. The Census Bureau draws it so that the whole country can be counted. It does not govern anything.
Population452,303
Density423.0people per km² of land
Median household income$86,365
Land area1069km²
Its peers
These are the 50 areas most like Naugatuck Valley Planning Region in population density and median household income (the middle household income). Both are measured in percentage terms and put on the same scale, so neither one counts for more. The closest eight: Ocean County, NJ, Bristol County, MA, Galveston County, TX, Northampton County, PA, Henrico County, VA, New Castle County, DE, South Central Connecticut Planning Region, CT, Kent County, RI. The peer scores below compare this county with all 50.
Least like its peers
The measures where Naugatuck Valley Planning Regionis furthest from the average of its peers. The gap is shown in “sd” (standard deviations), which means typical gaps between peers: −2 sd is about two typical gaps below the peer average. A national ranking would hide these numbers behind the county’s income.
| Measure | Value | Among peers | Nationally | vs peers |
|---|---|---|---|---|
| Returns reporting unemployment compensation | 7.33% | 94th pct by value | 98th pct by value | +2.1 sd |
| Drug overdose deaths | 52.5 | 4th pct | 14th pct | +1.8 sd |
| Effective property tax rate | 2.04 | 92nd pct by value | 97th pct by value | +1.5 sd |
| Firearm share of suicides, standardised | 56.1 | 12th pct by value | 2nd pct by value | -1.4 sd |
| Share of suicides by firearm | 30.3% | 12th pct by value | 3rd pct by value | -1.4 sd |
| Share in the same house a year ago | 89.3% | 96th pct by value | 66th pct by value | +1.4 sd |
How it has changed
This chart covers 2010–2024. A few measures were published only once — the school, moving-up-the-income-ladder (mobility) and social-ties (social capital) ones. They show as a single point that says so. Everything else is drawn over the years its publisher covers. Each value sits at the year it describes, not the year it came out.
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Every measure
Rates and medians come first, then counts. Counts have no peer score. A county’s population cannot be high or low “for its peers” when the peers were picked partly by density. Density and median household income have no peer score either, since they are what the peers were picked by.
| Adult income rank of children raised poor here uncertain | 0.42 | 64 | 50 | +0.5 | Opportunity Atlas |
| Adults under 65 without health insurance | 11.3% | 30 | 41 | +0.5 | CDC PLACES |
| Aggregate travel time to work | 5,634,200 min | — | — | — | Census ACS 5-year |
| All natural teeth lost, age 65 and over | 11.1% | 58 | 80 | -0.2 | CDC PLACES |
| Any disability | 25% | 78 | 94 | -0.9 | CDC PLACES |
| Arrivals per 100 people staying | 5.33 | 38· | 38· | -0.5 | IRS county migration flows |
| Arthritis | 21.7% | 61 | 86 | -0.4 | CDC PLACES |
| Average test score uncertain | 0.0611 | 43 | 62 | -0.1 | Stanford Education Data Archive |
| Binge drinking | 17.2% | 50 | 56 | +0.1 | CDC PLACES |
| Births per 1,000 women aged 15 to 50 | 51.8 | 70· | 39· | +0.2 | Census ACS 5-year |
| Black Protestant adherents uncertain | 1.45 | 56· | 70· | -0.1 | |
| Black-white residential segregation | 55.6 | 64· | 63· | +0.4 | County Health Rankings |
| Business closing rate | 9.23 | 54· | 66· | -0.0 | Census Business Dynamics Statistics |
| Business establishments | 8,328 | — | — | — | Census Business Dynamics Statistics |
| Business establishments closed | 768 | — | — | — | Census Business Dynamics Statistics |
| Business establishments opened | 776 | — | — | — | Census Business Dynamics Statistics |
| Business opening rate | 9.32 | 32· | 49· | -0.7 | Census Business Dynamics Statistics |
| Cancer other than skin cancer | 7.1% | 28 | 53 | +0.5 | CDC PLACES |
| Catholic adherents uncertain | 29.2 | 86· | 91· | +1.1 | |
| Child mortality | 40.5 | 78 | 87 | -0.8 | County Health Rankings |
| Child poverty rate, ages 0-17 | 17.1% | 10 | 54 | +1.3 | Census SAIPE |
| Children in single-parent households | 0.273% | 74· | 69· | +0.7 | County Health Rankings |
| Children in the mobility cohort uncertain | 30,913 | — | — | — | Opportunity Atlas |
| Children with below-median parental income uncertain | 30,913 | — | — | — | Social Capital Atlas |
| Cholesterol screening | 87.7% | 80 | 98 | +0.9 | CDC PLACES |
| Chronic obstructive pulmonary disease | 5.2% | 52 | 89 | -0.3 | CDC PLACES |
| Cognitive disability | 13.5% | 54 | 86 | -0.2 | CDC PLACES |
| Colorectal cancer screening | 65.6% | 82 | 98 | +1.0 | CDC PLACES |
| Congregations per 10,000 people uncertain | 8.04 | 66· | 9· | +0.1 | |
| Coronary heart disease | 4.9% | 63 | 91 | -0.6 | CDC PLACES |
| Current asthma | 11.2% | 13 | 25 | +0.8 | CDC PLACES |
| Current cigarette smoking | 11.9% | 52 | 90 | -0.2 | CDC PLACES |
| Dental visit in the past year | 68.3% | 80 | 93 | +0.9 | CDC PLACES |
| Departures per 100 people staying | 4.92 | 20· | 27· | -0.8 | IRS county migration flows |
| Depression | 21.8% | 50 | 72 | -0.1 | CDC PLACES |
| Diagnosed diabetes | 8.8% | 80 | 88 | -1.0 | CDC PLACES |
| Disability-free score | 0.927 | 59· | 89· | +0.3 | |
| Drug overdose deaths | 52.5 | 4 | 14 | +1.8 | County Health Rankings |
| Economic connectedness uncertain | 0.814 | 38 | 52 | -0.3 | Social Capital Atlas |
| Economic connectedness in high school uncertain | 1.1 | 68 | 89 | +0.4 | Social Capital Atlas |
| Economy score | 1.76 | 54· | 89· | -0.1 | |
| Education score | 0.071 | 44· | 48· | -0.2 | |
| Effective property tax rate | 2.04 | 92· | 97· | +1.5 | Census ACS 5-year |
| Employed | 228,100 | — | — | — | BLS LAUS |
| Evangelical Protestant adherents uncertain | 6.23 | 12· | 11· | -1.0 | |
| Fair or poor self-rated health | 16.3% | 61 | 83 | -0.4 | CDC PLACES |
| Firearm fatalities | 7 | 80 | 94 | -1.0 | County Health Rankings |
| Firearm share of suicides, standardised uncertain | 56.1 | 12· | 2· | -1.4 | CDC WONDER mortality; RAND firearm ownership database |
| Firearm suicide rate uncertain | 3.59 | 18· | 3· | -1.2 | CDC WONDER mortality; RAND firearm ownership database |
| Food insecurity | 16.6% | 24 | 43 | +0.7 | CDC PLACES |
| Foreign-born population | 60,819 | — | — | — | Census ACS 5-year |
| Frequent mental distress | 17.5% | 17 | 71 | +0.6 | CDC PLACES |
| Frequent physical distress | 12.3% | 26 | 76 | +0.4 | CDC PLACES |
| Friending bias uncertain | 0.13 | 20 | 9 | +0.8 | Social Capital Atlas |
| Friending clustering uncertain | 0.0979 | 86· | 17· | +1.1 | Social Capital Atlas |
| Gini index of income inequality | 0.462 | 34 | 33 | +0.3 | Census ACS 5-year |
| Gross domestic product uncertain | $37,317,000k | — | — | — | BEA Regional Accounts |
| Health score | 0.738 | 74· | 91· | +0.7 | |
| Hearing disability | 5.3% | 67 | 95 | -0.6 | CDC PLACES |
| High blood pressure | 28.1% | 91 | 92 | -1.2 | CDC PLACES |
| High cholesterol | 33.8% | 13 | 25 | +1.2 | CDC PLACES |
| Homeownership rate | 67.6% | 62· | 22· | +0.2 | Census ACS 5-year |
| Homicide rate | 3.78 | 65 | 77 | -0.5 | County Health Rankings |
| Housing insecurity | 14.4% | 27 | 35 | +0.6 | CDC PLACES |
| Housing units | 191,980 | — | — | — | Census ACS 5-year |
| Incarceration of children raised poor here uncertain | 0.0325 | 40 | 23 | +0.4 | Opportunity Atlas |
| Income gap between arrivals and departures | $-3,961 | 40· | 20· | -0.3 | IRS county migration flows |
| Independent-living disability | 7.3% | 41 | 82 | +0.0 | CDC PLACES |
| Labour force | 236,750 | — | — | — | BLS LAUS |
| Lack of reliable transportation | 9.2% | 19 | 41 | +0.8 | CDC PLACES |
| Lacking social and emotional support | 26.6% | 16 | 21 | +1.1 | CDC PLACES |
| Learning rate uncertain | -0.00582 | 68 | 59 | +0.1 | Stanford Education Data Archive |
| Loneliness | 34.7% | 46 | 40 | +0.1 | CDC PLACES |
| Mainline Protestant adherents uncertain | 5.19 | 56· | 40· | -0.1 | |
| Mammography in the past two years | 78.2% | 68 | 88 | +0.3 | CDC PLACES |
| Material security score | 0.256 | 20· | 50· | -0.8 | |
| Mean adjusted gross income per return | $83,013 | 22 | 78 | -0.6 | IRS Statistics of Income |
| Mean income of arriving households | $65,729 | 34· | 74· | -0.4 | IRS county migration flows |
| Mean income of departing households | $69,690 | 42· | 85· | -0.4 | IRS county migration flows |
| Mean travel time to work | 28.4 min | 14 | 23 | +0.8 | Census ACS 5-year |
| Median age | 41.9 years | 90· | 54· | +0.9 | Census ACS 5-year |
| Median gross rent | $1,288 | 32· | 88· | -0.6 | Census ACS 5-year |
| Median home value | $290,800 | 38· | 84· | -0.6 | Census ACS 5-year |
| Median household income | $86,365 | — | 90 | — | Census ACS 5-year |
| Median household income (model-based) | $81,392 | 36 | 86 | -0.5 | Census SAIPE |
| Median property tax bill | 5,926 | 88· | 97· | +1.3 | Census ACS 5-year |
| Membership of volunteering groups uncertain | 0.0595% | 40 | 31 | -0.4 | Social Capital Atlas |
| Membership organisations | 6.32 | 8 | 15 | -1.1 | County Health Rankings |
| Mobility disability | 10.3% | 74 | 90 | -0.7 | CDC PLACES |
| Mobility score | -0.358 | 46· | 37· | -0.1 | |
| Motor vehicle crash deaths | 9.31 | 44 | 89 | -0.1 | County Health Rankings |
| Mutual-friend share uncertain | 0.985 | 84· | 21· | +0.9 | Social Capital Atlas |
| Net business formation rate | 0.096 | 16· | 36· | -1.0 | Census Business Dynamics Statistics |
| Net migration per 100 people staying | 0.414 | 78· | 60· | +0.7 | IRS county migration flows |
| No leisure-time physical activity | 25.4% | 20 | 59 | +0.9 | CDC PLACES |
| Obesity | 30.7% | 67 | 92 | -0.7 | CDC PLACES |
| Occupied housing units | 178,340 | — | — | — | Census ACS 5-year |
| Orthodox Christian adherents uncertain | 0.459 | 76· | 96· | +0.4 | |
| Other religion adherents uncertain | 4.1 | 50· | 81· | -0.2 | |
| Owner-occupied housing units | 120,630 | — | — | — | Census ACS 5-year |
| People covered by a tax return | 403,630 | — | — | — | IRS Statistics of Income |
| People per tax return | 2 | 28· | 10· | -0.6 | IRS Statistics of Income |
| People who did not move | 357,180 | — | — | — | IRS county migration flows |
| Per capita income | $46,063 | 58 | 91 | +0.1 | Census ACS 5-year |
| Per capita personal income uncertain | $77,305 | 76 | 91 | +0.3 | BEA Regional Accounts |
| Personal income uncertain | $35,491,000k | — | — | — | BEA Regional Accounts |
| Population uncertain | 459,100 | — | — | — | BEA Regional Accounts |
| Population | 456,130 | — | — | — | County Health Rankings |
| Population (firearm measures) uncertain | 432,160 | — | — | — | CDC WONDER mortality; RAND firearm ownership database |
| Population aged 15 and over | 377,570 | — | — | — | Census ACS 5-year |
| Population aged 18 and over | 364,230 | — | — | — | CDC PLACES |
| Population aged 25 and over | 323,620 | — | — | — | Census ACS 5-year |
| Population aged 65 and over | 84,656 | — | — | — | Census ACS 5-year |
| Population below the poverty line | 46,175 | — | — | — | Census ACS 5-year |
| Population below the poverty line | 51,210 | — | — | — | Census SAIPE |
| Population for whom poverty status is determined | 446,390 | — | — | — | Census ACS 5-year |
| Population for whom poverty status is determined | 449,210 | — | — | — | Census SAIPE |
| Population in the same house one year ago | 404,080 | — | — | — | Census ACS 5-year |
| Population with a bachelor's degree or higher | 109,350 | — | — | — | Census ACS 5-year |
| Population, decennial census uncertain | 455,220 | — | — | — | |
| Poverty rate | 10.3% | 52 | 74 | -0.0 | Census ACS 5-year |
| Poverty rate (model-based) | 11.4% | 34 | 67 | +0.5 | Census SAIPE |
| Presidential votes cast, 2000 uncertain | 184,300 | — | — | — | MIT Election Data and Science Lab |
| Presidential votes cast, 2004 uncertain | 198,740 | — | — | — | MIT Election Data and Science Lab |
| Presidential votes cast, 2008 uncertain | 206,470 | — | — | — | MIT Election Data and Science Lab |
| Presidential votes cast, 2012 uncertain | 195,470 | — | — | — | MIT Election Data and Science Lab |
| Presidential votes cast, 2016 uncertain | 205,220 | — | — | — | MIT Election Data and Science Lab |
| Presidential votes cast, 2020 uncertain | 226,740 | — | — | — | MIT Election Data and Science Lab |
| Presidential votes cast, 2024 uncertain | 217,150 | — | — | — | MIT Election Data and Science Lab |
| Private job growth uncertain | 1.06 | 24· | 39· | -0.8 | BLS Quarterly Census of Employment and Wages |
| Private jobs uncertain | 174,530 | — | — | — | BLS Quarterly Census of Employment and Wages |
| Public-good pages per 1,000 users uncertain | 0.016 | 78 | 39 | +0.5 | Social Capital Atlas |
| Received food stamps | 13.1% | 73· | 52· | +0.5 | CDC PLACES |
| Religious adherents uncertain | 46.6 | 62· | 47· | +0.1 | |
| Republican share of the two-party vote, 2000 uncertain | 40.1 | 24· | 7· | -0.9 | MIT Election Data and Science Lab |
| Republican share of the two-party vote, 2004 uncertain | 45.5 | 30· | 11· | -0.5 | MIT Election Data and Science Lab |
| Republican share of the two-party vote, 2008 uncertain | 39.2 | 28· | 10· | -0.6 | MIT Election Data and Science Lab |
| Republican share of the two-party vote, 2012 uncertain | 40.8 | 30· | 10· | -0.5 | MIT Election Data and Science Lab |
| Republican share of the two-party vote, 2016 uncertain | 44.4 | 44· | 11· | -0.2 | MIT Election Data and Science Lab |
| Republican share of the two-party vote, 2020 uncertain | 41.6 | 42· | 9· | -0.2 | MIT Election Data and Science Lab |
| Republican share of the two-party vote, 2024 uncertain | 44.3 | 42· | 10· | -0.1 | MIT Election Data and Science Lab |
| Republican swing, 2000 to 2024 uncertain | 4.14 | 78· | 32· | +0.8 | MIT Election Data and Science Lab |
| Returns claiming charitable contributions | 5.86% | 32· | 82· | -0.7 | IRS Statistics of Income |
| Returns claiming the earned income credit | 13.1% | 54· | 35· | -0.1 | IRS Statistics of Income |
| Returns reporting capital gains | 17.1% | 32· | 60· | -0.4 | IRS Statistics of Income |
| Returns reporting unemployment compensation | 7.33% | 94· | 98· | +2.1 | IRS Statistics of Income |
| Routine checkup in the past year | 77.9% | 54· | 82· | +0.3 | CDC PLACES |
| Safety score | 0.108 | 24· | 64· | -0.8 | |
| Self-care disability | 3.3% | 26 | 67 | +0.4 | CDC PLACES |
| Share aged 65 and over | 18.7% | 86· | 40· | +0.6 | Census ACS 5-year |
| Share American Indian or Alaska Native, not Hispanic uncertain | 0.0433% | 8· | 25· | -1.0 | Census ACS 5-year |
| Share Asian, not Hispanic | 3.98% | 38· | 89· | -0.4 | Census ACS 5-year |
| Share Black, not Hispanic | 10.3% | 48· | 69· | -0.3 | Census ACS 5-year |
| Share divorced | 11.7% | 80· | 46· | +0.8 | Census ACS 5-year |
| Share foreign-born | 13.4% | 70· | 91· | +0.2 | Census ACS 5-year |
| Share Hispanic or Latino, any race | 19.2% | 76· | 83· | +0.6 | Census ACS 5-year |
| Share in the same house a year ago | 89.3% | 96· | 66· | +1.4 | Census ACS 5-year |
| Share never married | 34.3% | 52· | 79· | -0.0 | Census ACS 5-year |
| Share now married | 48.1% | 34· | 26· | -0.4 | Census ACS 5-year |
| Share of births to unmarried women | 30.9% | 66· | 37· | +0.4 | Census ACS 5-year |
| Share of some other race, not Hispanic | 0.751% | 87· | 94· | +0.6 | Census ACS 5-year |
| Share of suicides by firearm uncertain | 30.3% | 12· | 3· | -1.4 | CDC WONDER mortality; RAND firearm ownership database |
| Share of two or more races, not Hispanic | 4.62% | 74· | 82· | +0.5 | Census ACS 5-year |
| Share separated | 1.39% | 42· | 34· | -0.3 | Census ACS 5-year |
| Share White, not Hispanic | 61.1% | 50· | 24· | -0.1 | Census ACS 5-year |
| Share widowed | 5.98% | 80· | 29· | +0.7 | Census ACS 5-year |
| Share with a bachelor's degree or higher | 33.8% | 30 | 85 | -0.7 | Census ACS 5-year |
| Sleeping less than 7 hours | 36.8% | 56 | 56 | +0.2 | CDC PLACES |
| Social connection score | -0.362 | 22· | 27· | -0.7 | |
| Stroke | 2.8% | 44 | 76 | -0.1 | CDC PLACES |
| Taking blood pressure medication | 56.8% | 22· | 26· | -0.5 | CDC PLACES |
| Tax returns filed | 230,050 | — | — | — | IRS Statistics of Income |
| Tests taken uncertain | 581,160 | — | — | — | Stanford Education Data Archive |
| Threat of utility shut-off | 9.5% | 14 | 41 | +0.9 | CDC PLACES |
| Total population | 452,300 | — | — | — | Census ACS 5-year |
| Trend in average test score uncertain | -0.00711 | 32 | 44 | -0.5 | Stanford Education Data Archive |
| Unemployed | 8,646 | — | — | — | BLS LAUS |
| Unemployment rate | 3.7% | 20 | 39 | +0.5 | BLS LAUS |
| Vacancy rate | 7.11% | 74· | 13· | +0.1 | Census ACS 5-year |
| Vacant housing units | 13,644 | — | — | — | Census ACS 5-year |
| Vision disability | 4.8% | 22 | 54 | +0.7 | CDC PLACES |
| Women aged 15 to 50 | 101,090 | — | — | — | Census ACS 5-year |
| Women who gave birth in the past year | 5,235 | — | — | — | Census ACS 5-year |
| Workers aged 16 and over who commute | 198,590 | — | — | — | Census ACS 5-year |
50of these values are marked uncertain. Either the published margin of error (the likely range around a survey estimate) is wide compared with the estimate, or the value was split across Connecticut’s 2022 boundary change. A split value is shared out between old and new areas, not measured directly.
A percentile is the share of the comparison group at or below this county’s value. A peer score needs at least 20 peers with published data. Where fewer report, the cell is left blank instead of being worked out from a handful.