In areas with high levels of testing, a decreasing positivity rate indicates that the levels of virus circulating in the District are falling. The positivity rate is calculated among DC-residents, and includes repeat testing. In a given day, the data is unique by person, but includes persons who test on multiple days. This may include DC-residents who are tested by providers outside of DC. Inadequate samples (not-tested) or results without a positive/negative are excluded. Both diagnostic and screening tests are included, serological testing is excluded. This chart may change as lab reporting undergoes quality review. This data is used to calculate the Reopening DC metric with a goal of 7 consecutive days of test postivity rate below 20% for Phase 1 and below 15% for Phase 2. These goals are based on CDC guidance. Data are subject to change on a daily basis and reported at a 8-day lag for proper analysis.Data is updated Monday-Friday.

Percent COVID-19 positive hospitalizations show us the number of COVID-19 patients as a proportion of all patients on a given day that are in DC hospitals. This represents a seven day average of the percentage of COVID-19 positive patients among the total number of hospitalized patients (i.e., the daily hospital census). Daily reporting of inpatients in DC hospitals includes individuals from other jurisdictions, and reflects ongoing data quality improvements.Data is updated Monday-Friday.

Data represent a seven day average of the daily case rate per 100,000 population. The number of daily cases is subject to the timeliness of test results reported from laboratories and may not always reflect the number of new positive tests on a given day. Data reflect ongoing data quality improvements.Data is updated Monday-Friday.

As the outbreak is brought under control and there is a high level of contact tracing capacity, most new positive cases should stem from individuals who we have already identified as close contacts of other positive cases and have quarantined, allowing transmission to be effectively reduced. A new case from a quarantined contact is defined as a positive case who was previously a quarantined contact. A quarantined contact is defined as a close contact of a positive case who has been successfully reached by a contact tracer. Contact tracing includes an interview with the initial positive case to collect basic information, identify close contacts, and provide resources and instructions for isolation. Close contacts of positive cases are interviewed to provide instructions for quarantine and gather more information about potential exposure. An individual can be a close contact of multiple positive cases. This data is used to calculate the Reopening DC metric for percent of new cases from quarantined contacts is above 60%. Data are subject to change on a daily basis and reported at a 4-day lag for proper analysis.Data is updated Monday-Friday.

Context

After observing many naive conversations about COVID-19, claiming that the pandemic can be blamed on just a few factors, I decided to create a data set, to map a number of different data points to every U.S. state (including D.C. and Puerto Rico).

Content

This data set contains basic COVID-19 information about each state, such as total population, total COVID-19 cases, cases per capita, COVID-19 deaths and death rate, Mask mandate start, and end dates, mask mandate duration (in days), and vaccination rates.

However, when evaluating a pandemic (specifically a respiratory virus) it would be wise to also explore the population density of each state, which is also included. For those interested, I also included political party affiliation for each state ("D" for Democrat, "R" for Republican, and "I" for Puerto Rico). Vaccination rates are split into 1-dose and 2-dose rates.

Also included is data ranking the Well-Being Index and Social Determinantes of Health Index for each state (2019). There are also several other columns that "rank" states, such as ranking total cases per state (ascending), total cases per capita per state (ascending), population density rank (ascending), and 2-dose vaccine rate rank (ascending). There are also columns that compare deviation between columns: case count rank vs population density rank (negative numbers indicate that a state has more COVID-19 cases, despite being lower in population density, while positive numbers indicate the opposite), as well as per-capita case count vs density.

Acknowledgements

Several Statista Sources: * COVID-19 Cases in the US * Population Density of US States * COVID-19 Cases in the US per-capita * COVID-19 Vaccination Rates by State

Other sources I'd like to acknowledge: * Ballotpedia * DC Policy Center * Sharecare Well-Being Index * USA Facts * World Population Overview

Inspiration

I would like to see if any new insights could be made about this pandemic, where states failed, or if these case numbers are 100% expected for each state.

Contact tracing includes an interview with the initial case to collect basic information, identify contacts, and provide resources and instructions for isolation. Contact tracing is not conducted for deceased individuals, or residents of jails and long term care facilities. These cases are excluded from this calculation, and are handled in separate and specialized health investigations. Close contacts without valid contact information are not included in the metric. If contact information is identified at a later date, the contact is included in the metric at that time, even though it may have passed the ideal contact window. An individual can be a close contact of multiple positive cases. Three contact attempts are made before a contact is marked loss-to-follow up. The moving average of the percentage of close contacts with a contact attempt within two days will be calculated using a 7-day window, inclusive of the end date. The result will be a 7-day average weighted by the number of cases on that day. Currently, since there are too few days to calculate a 7-day average, each day will build, from a 3-day average on June 14, a 4-day average on June 15, etc., through a 7-day average starting on June 18. We begin reporting on June 12 as data were transitioned to the new contact tracing system between Jun 3rd - Jun 11th, which prevented our ability to accurately estimate the number of call attempts during the transition period. We will build up to a 7-day average on the June 18 notification date. This data is used to calculate the Reopening DC metric with the percentage of close contacts of positive cases with at least one contact attempt is made within two days of case notification to DC Health. Data are subject to change on a daily basis and reported at a 4-day lag for proper analysis.

Data for CDC’s COVID Data Tracker site on Rates of COVID-19 Cases and Deaths by Vaccination Status. Click 'More' for important dataset description and footnotes

Dataset and data visualization details: These data were posted on October 21, 2022, archived on November 18, 2022, and revised on February 22, 2023. These data reflect cases among persons with a positive specimen collection date through September 24, 2022, and deaths among persons with a positive specimen collection date through September 3, 2022.

Vaccination status: A person vaccinated with a primary series had SARS-CoV-2 RNA or antigen detected on a respiratory specimen collected ≥14 days after verifiably completing the primary series of an FDA-authorized or approved COVID-19 vaccine. An unvaccinated person had SARS-CoV-2 RNA or antigen detected on a respiratory specimen and has not been verified to have received COVID-19 vaccine. Excluded were partially vaccinated people who received at least one FDA-authorized vaccine dose but did not complete a primary series ≥14 days before collection of a specimen where SARS-CoV-2 RNA or antigen was detected. Additional or booster dose: A person vaccinated with a primary series and an additional or booster dose had SARS-CoV-2 RNA or antigen detected on a respiratory specimen collected ≥14 days after receipt of an additional or booster dose of any COVID-19 vaccine on or after August 13, 2021. For people ages 18 years and older, data are graphed starting the week including September 24, 2021, when a COVID-19 booster dose was first recommended by CDC for adults 65+ years old and people in certain populations and high risk occupational and institutional settings. For people ages 12-17 years, data are graphed starting the week of December 26, 2021, 2 weeks after the first recommendation for a booster dose for adolescents ages 16-17 years. For people ages 5-11 years, data are included starting the week of June 5, 2022, 2 weeks after the first recommendation for a booster dose for children aged 5-11 years. For people ages 50 years and older, data on second booster doses are graphed starting the week including March 29, 2022, when the recommendation was made for second boosters. Vertical lines represent dates when changes occurred in U.S. policy for COVID-19 vaccination (details provided above). Reporting is by primary series vaccine type rather than additional or booster dose vaccine type. The booster dose vaccine type may be different than the primary series vaccine type. ** Because data on the immune status of cases and associated deaths are unavailable, an additional dose in an immunocompromised person cannot be distinguished from a booster dose. This is a relevant consideration because vaccines can be less effective in this group. Deaths: A COVID-19–associated death occurred in a person with a documented COVID-19 diagnosis who died; health department staff reviewed to make a determination using vital records, public health investigation, or other data sources. Rates of COVID-19 deaths by vaccination status are reported based on when the patient was tested for COVID-19, not the date they died. Deaths usually occur up to 30 days after COVID-19 diagnosis. Participating jurisdictions: Currently, these 31 health departments that regularly link their case surveillance to immunization information system data are included in these incidence rate estimates: Alabama, Arizona, Arkansas, California, Colorado, Connecticut, District of Columbia, Florida, Georgia, Idaho, Indiana, Kansas, Kentucky, Louisiana, Massachusetts, Michigan, Minnesota, Nebraska, New Jersey, New Mexico, New York, New York City (New York), North Carolina, Philadelphia (Pennsylvania), Rhode Island, South Dakota, Tennessee, Texas, Utah, Washington, and West Virginia; 30 jurisdictions also report deaths among vaccinated and unvaccinated people. These jurisdictions represent 72% of the total U.S. population and all ten of the Health and Human Services Regions. Data on cases among people who received additional or booster doses were reported from 31 jurisdictions; 30 jurisdictions also reported data on deaths among people who received one or more additional or booster dose; 28 jurisdictions reported cases among people who received two or more additional or booster doses; and 26 jurisdictions reported deaths among people who received two or more additional or booster doses. This list will be updated as more jurisdictions participate. Incidence rate estimates: Weekly age-specific incidence rates by vaccination status were calculated as the number of cases or deaths divided by the number of people vaccinated with a primary series, overall or with/without a booster dose (cumulative) or unvaccinated (obtained by subtracting the cumulative number of people vaccinated with a primary series and partially vaccinated people from the 2019 U.S. intercensal population estimates) and multiplied by 100,000. Overall incidence rates were age-standardized using the 2000 U.S. Census standard population. To estimate population counts for ages 6 months through 1 year, half of the single-year population counts for ages 0 through 1 year were used. All rates are plotted by positive specimen collection date to reflect when incident infections occurred. For the primary series analysis, age-standardized rates include ages 12 years and older from April 4, 2021 through December 4, 2021, ages 5 years and older from December 5, 2021 through July 30, 2022 and ages 6 months and older from July 31, 2022 onwards. For the booster dose analysis, age-standardized rates include ages 18 years and older from September 19, 2021 through December 25, 2021, ages 12 years and older from December 26, 2021, and ages 5 years and older from June 5, 2022 onwards. Small numbers could contribute to less precision when calculating death rates among some groups. Continuity correction: A continuity correction has been applied to the denominators by capping the percent population coverage at 95%. To do this, we assumed that at least 5% of each age group would always be unvaccinated in each jurisdiction. Adding this correction ensures that there is always a reasonable denominator for the unvaccinated population that would prevent incidence and death rates from growing unrealistically large due to potential overestimates of vaccination coverage. Incidence rate ratios (IRRs): IRRs for the past one month were calculated by dividing the average weekly incidence rates among unvaccinated people by that among people vaccinated with a primary series either overall or with a booster dose. Publications: Scobie HM, Johnson AG, Suthar AB, et al. Monitoring Incidence of COVID-19 Cases, Hospitalizations, and Deaths, by Vaccination Status — 13 U.S. Jurisdictions, April 4–July 17, 2021. MMWR Morb Mortal Wkly Rep 2021;70:1284–1290. Johnson AG, Amin AB, Ali AR, et al. COVID-19 Incidence and Death Rates Among Unvaccinated and Fully Vaccinated Adults with and Without Booster Doses During Periods of Delta and Omicron Variant Emergence — 25 U.S. Jurisdictions, April 4–December 25, 2021. MMWR Morb Mortal Wkly Rep 2022;71:132–138

Washington, DC is a city with a population of 695,449 and lies in the 3000-5000 (High) density category. The city has an area of 150.18 km² with a total green space of 47% and a tree coverage of 43%. The city lies in the North Temperate Zone of the world. The city has improved its Percentage of urban area covered by trees when compared to Global Average and also improved its Urban green space per capita when compared to previous year. Within North America, 86.4% of cities are ranked lower than Washington, DC. There has been a positive increase in the greenness of city as compared to previous year, out of all the changes happening 58% of them are positive.

DC Collector Bus for Storage Plants Market Outlook

According to our latest research, the DC Collector Bus for Storage Plants market size achieved a global valuation of USD 1.35 billion in 2024, reflecting robust demand from large-scale energy storage and renewable integration projects. The market is growing at a compound annual growth rate (CAGR) of 8.1% and is forecasted to reach USD 2.61 billion by 2033. This growth is primarily driven by the rapid expansion of grid-scale battery energy storage systems (BESS) and the accelerating deployment of renewable energy sources worldwide. As per our latest research, the market’s upward trajectory is a direct result of the increasing need for efficient, reliable, and scalable power distribution solutions in modern energy infrastructure.

One of the major growth factors propelling the DC Collector Bus for Storage Plants market is the global transition toward renewable energy sources such as solar and wind. The variability and intermittency of these energy sources necessitate large-scale energy storage systems to stabilize the grid and ensure a consistent energy supply. DC collector buses serve as critical components in these storage plants, enabling safe and efficient collection, distribution, and management of large direct current (DC) flows. As governments and utilities intensify their commitments to decarbonization and grid modernization, the demand for advanced DC collector bus systems is expected to surge, particularly in regions investing heavily in utility-scale renewable projects.

Another key driver is the rapid advancements in battery energy storage technologies and the increasing deployment of Battery Energy Storage Systems (BESS) across both developing and developed regions. The integration of BESS into power grids requires robust DC collector bus infrastructure to handle high current loads, minimize losses, and ensure operational safety. The evolving landscape of electric mobility, electrification of industries, and the proliferation of microgrids are further expanding the application scope of DC collector buses. Additionally, the trend toward modular and scalable energy storage solutions is prompting manufacturers to innovate in busbar design, material selection, and thermal management, thereby enhancing the overall market growth.

The growing focus on grid stability and resilience in the face of rising distributed energy resources (DERs) and increased grid complexity is further amplifying the need for reliable DC collector bus systems. These systems play a pivotal role in grid stabilization applications by facilitating precise control over energy flows and enabling rapid response to fluctuations in supply and demand. The adoption of smart grid technologies and digital monitoring solutions is also supporting the integration of DC collector buses into advanced energy management systems, offering enhanced operational visibility and predictive maintenance capabilities. As energy storage plants become increasingly sophisticated, the demand for high-performance DC collector buses is set to remain strong.

Regionally, Asia Pacific is emerging as the dominant market for DC collector buses due to aggressive renewable energy targets, significant investments in grid infrastructure, and the presence of leading energy storage system manufacturers. North America and Europe are also witnessing substantial growth, driven by policy incentives, grid modernization initiatives, and the increasing penetration of distributed energy resources. Latin America and the Middle East & Africa, while currently smaller in market share, are expected to experience accelerated growth as energy access and renewable integration projects gain momentum. The regional outlook remains positive, with each market contributing uniquely to the global expansion of the DC Collector Bus for Storage Plants sector.

Product Type Analysis

The DC Collector Bus for Storage Plants market is segmented by product type into Copper Busbars, Aluminum Bu

Contact tracing close contacts includes an interview with the initial case to collect basic information, identify contacts, and provide resources and instructions for isolation. Contact tracing is not conducted for deceased individuals, or residents of jails and long term care facilities. These cases are excluded from this calculation, and are handled in separate and specialized health investigations. Close contacts without valid contact information are not included in the metric. If contact information is identified at a later date, the contact is included in the metric at that time, even though it may have passed the ideal contact window. An individual can be a close contact of multiple positive cases. Three contact attempts are made before a contact is marked loss-to-follow up. The moving average of the percentage of close contacts with a contact attempt within two days will be calculated using a 7-day window, inclusive of the end date. The result will be a 7-day average weighted by the number of cases on that day. Currently, since there are too few days to calculate a 7-day average, each day will build, from a 3-day average on June 14, a 4-day average on June 15, etc., through a 7-day average starting on June 18. We begin reporting on June 12 as data were transitioned to the new contact tracing system between Jun 3rd - Jun 11th, which prevented our ability to accurately estimate the number of call attempts during the transition period. We will build up to a 7-day average on the June 18 notification date. Data are subject to change on a daily basis and reported at a 4-day lag for proper analysis. This data is used to calculate the Reopening DC metric with the percentage of close contacts of positive cases with at least one contact attempt is made within two days of case notification to DC Health.

Notes: In Connecticut, new enrollment of children regardless of immigration status is limited to those under age 13, and to those under age 16 beginning July 2024, but they may stay enrolled up to age 19. Utah state-funded enrollment of children regardless of immigration status is currently closed.

Biometric Turnstiles for DC Entrances Market Outlook

According to our latest research, the global market size for Biometric Turnstiles for DC Entrances reached USD 1.42 billion in 2024, driven by the increasing need for advanced security solutions in critical infrastructure environments. The market is projected to grow at a robust CAGR of 12.3% from 2025 to 2033, reaching an estimated USD 4.04 billion by the end of the forecast period. This growth is primarily fueled by the rising adoption of biometric technologies in data centers (DCs) and other high-security facilities, as organizations worldwide prioritize stringent access control measures to mitigate physical and cyber threats.

One of the primary growth factors for the Biometric Turnstiles for DC Entrances market is the escalating demand for enhanced perimeter security in data centers. With the exponential rise in digital transformation initiatives and the proliferation of cloud computing, data centers have become critical assets that require uncompromising security protocols. Biometric turnstiles, integrating modalities such as fingerprint, facial, and iris recognition, offer a robust solution for secure, contactless, and efficient entry management. These systems not only prevent unauthorized access but also enable accurate tracking of personnel movement, which is essential for compliance with regulatory frameworks such as GDPR and HIPAA. The increasing sophistication of cyber-physical threats has further compelled organizations to invest in multi-layered security systems, with biometric turnstiles emerging as a preferred choice for DC entrances due to their reliability and scalability.

Another significant driver is the technological advancements in biometric recognition systems, which have dramatically improved accuracy, speed, and user convenience. Innovations such as AI-powered facial recognition, contactless palm vein authentication, and multimodal biometric solutions are transforming the landscape of access control. These advancements reduce false acceptance and rejection rates, enhance user throughput, and enable seamless integration with existing security infrastructure. The growing trend towards smart buildings and automated facility management has also contributed to the adoption of biometric turnstiles, as organizations seek to create frictionless and secure entry experiences for employees and visitors alike. Furthermore, the COVID-19 pandemic has accelerated the shift towards touchless authentication methods, boosting demand for biometric turnstiles equipped with facial and iris recognition technologies.

The market is also benefiting from increasing regulatory pressure and industry standards mandating robust access control mechanisms in critical sectors such as IT & telecom, BFSI, and government. Regulatory bodies are emphasizing the need for end-to-end security solutions that safeguard both digital and physical assets. Biometric turnstiles, with their ability to provide audit trails and support compliance reporting, are being increasingly deployed in environments where data integrity and asset protection are paramount. Additionally, the integration of biometric turnstiles with other security systems, such as surveillance cameras and alarm systems, is enabling holistic security management, further driving market growth.

Regionally, the adoption of biometric turnstiles for DC entrances is most prominent in North America and Europe, where stringent data protection regulations and high awareness of security risks prevail. However, the Asia Pacific region is witnessing the fastest growth, fueled by rapid data center expansion, increasing investments in digital infrastructure, and rising security concerns across emerging economies. Latin America and the Middle East & Africa are also experiencing steady growth, albeit from a smaller base, as governments and enterprises in these regions recognize the importance of advanced access control technologies in safeguarding critical infrastructure. The global outlook for the Biometric Turnstiles for DC Entrances market remains highly positive, with sustained investments in security technologies expected to propel market expansion through 2033.

Product Type Analysis

The Product Type segment of the Biometric Turnstiles for DC Entrances market encompasses full-height turnstiles, waist-high turnstiles, optical turnstiles, and other specialized designs. Full-height turnstiles are wid