Latest statewide data: 04/19/2021
This webpage provides graphics that are intended to communicate what we know about COVID-19 (also known as SARS-CoV-2) in Connecticut. These charts are not intended to predict any scenarios about the disease or the people affected by it. They merely reflect data that DataHaven has already collected at the town, county, and state levels. To the extent possible, this webpage is updated daily.
For the latest information from the Connecticut Department of Public Health, visit http://portal.ct.gov/Coronavirus
While previous testing protocols restricted tests to contact tracing and specimen sampling of individuals exhibiting severe symptoms, these have since changed. For current information on testing, see state guidance. Note that because testing coverage is still limited, counts of detected cases almost certainly underestimate the true number of people infected with COVID-19.
Detected cases refer to individuals who tested positive for COVID-19 as confirmed by the State of Connecticut. Due to current testing protocols, this number likely underestimates—possibly to a very large degree—the number of people who may currently have or have recovered from the disease.
Hospitalizations refer to patients who have been admitted to a hospital for complications arising from COVID-19. These are reported at the county level only and represent the county where the hospital is located, not the patient’s home county. On March 29, 2020, the State reported a change to the way hospitalizations were recorded and acknowledged that hospitalization counts prior to that date were underestimated. Hospitalization counts are only available starting on March 21.
Deaths refer to individuals who tested positive for COVID-19 around the time of their death. This doesn't necessarily mean COVID-19 symptoms or complications specifically caused that person's death. Because of testing protocols, this number is likely undercounted.
Some values are given as rates and are marked as such, where the number of cases is divided by population in order to meaningfully compare the relative magnitude of cases across areas.
Rates are given here per 10,000 people by location—that is, a rate of 20 per 10,000 people in a town would mean that for every 10,000 residents of that town, an average of 20 people have tested positive for COVID-19.
Data show higher rates of detected cases and deaths among Black and Latino residents than other groups. The statewide total rates shown include patients without race/ethnicity given. Rates are again given per 10,000 people by race/ethnicity and adjusted for age. Statewide age-adjusted data became available in late May, and are preferable in comparing racial groups because they account for differing age distributions in populations.
Note that beginning in July, the state began releasing county-level case numbers on weekdays only. As such, weekends appear as gaps in the chart.
Values shown here are rates per 10,000 people by town.
The longest continuous decrease in hospitalizations was between May 05 and May 23, a streak of 18 days. On the most recent day of data (04/19), the number of people hospitalized increased by 13 from the previous day.
Please note that during some periods, such as major holidays, testing and reporting can be limited. Around those times, a decrease in the number of new cases may simply be an artifact of those delays rather than an actual decline.
With direction of percent change since previous week
Another way of calculating the number of deaths related to COVID-19 is to estimate how many deaths might be expected to occur in any given week, based on several years of recent trends, and then compare those to the observed number of COVID-19 deaths that reported week. This assumes, in the absence of other deadly events, that COVID-19 accounts for a large part of the unexplained excess. This excess deaths estimation method helps mitigate issues with limited access to testing, particularly in the earlier months of the pandemic, inconsistent testing protocols, and differences in record keeping across municipalities and hospitals, all of which have made it difficult to know the pandemic’s exact death toll.
During the week of April 18, at the pandemic’s early peak, the number of deaths observed in Connecticut was more than twice the number that would be expected based on recent years. The most recent week in which deaths were above the expected range was the week of Dec 26, when the observed number of deaths was 64 percent above average. Note that this dataset has a lag of a few weeks.
Governor Lamont’s roadmap for the next phases of reopening (pdf) includes a goal of 100,000 tests per week in order to begin phase 2 on or around June 20. While the state has increased its testing capacity, the actual number of tests conducted per week still falls well below this goal. Most recently, in the week starting 04/12, testing sites conducted a total of 195,341 tests.
One way to measure the impact of social distancing measures is through the distances people travel each day. Anonymized cell phone data shows the average number of miles traveled by people within each county starting March 2. As statewide executive orders restricting public and private gatherings and limiting nonessential travel, these average distances traveled dropped steeply.
Note that executive orders that took effect in the evening, such as the non-essential business closure, are dated here with the following day, as that is when they are likely to have had an impact on people’s travel. To smooth out the day-to-day fluctuations in travel, including patterns of less travel on weekends and holidays, values here are shown as 7-day rolling averages.
DataHaven recently completed its 2020 Community Wellbeing Survey, with a statewide sample of more than 1,100 adult participants. The 2020 survey included a set of questions related to COVID-19 and its impacts on residents’ well-being, resources, and quality of life.
Survey participants were asked to rate the amount of trust they have in each of several public institutions to keep themselves and their families safe. Below are the shares of adults who reported having a great amount or a fair amount of trust in each institution.
Survey participants were also asked how often they leave their home for work. Out of currently working adults, the shares saying they leave for work very often are below.
The US Census Bureau conducted a Household Pulse Survey between April and July to gauge several economic and health indicators throughout the country. The survey questions summarized here are for adults in Connecticut, based on the 12 weeks of data released.
Loss of income measures the share of adults for whom at least one member of their household lost work-related income (i.e. not public benefits) since March 13, 2020. Food insecurity refers to the share of adults that report having sometimes or often not had enough food at home over the previous 7 days. Housing insecurity refers to the share of adults that report having little to no confidence that their next month’s housing payments can be made on time, out of adults whose households pay either rent or a mortgage.