The National Hospital Care Survey (NHCS), conducted by the National Center for Health Statistics, collects data on patient care in hospital-based settings to describe patterns of health care delivery and utilization in the United States. Eligible hospitals are in the 50 states and the District of Columbia and include noninstitutional and nonfederal hospitals with six or more staffed inpatient beds. Settings currently include inpatient and emergency departments (ED). The survey collects electronic data (Uniform Bill (UB–04) administrative claims or electronic health records) for all encounters in a calendar year from a nationally representative sample of 608 hospitals. NHCS contributes data that may inform public health emergencies as the survey is designed to capture emerging diseases and viruses that require hospitalizations, including COVID-19 encounters. The 2020 NHCS is not yet fully operational so it is important to note that these data are not nationally representative.
The NHCS results provided on COVID-19 hospital use are from UB–04 administrative claims data from March 18, 2020 through December 29, 2020 from 50 hospitals that submitted inpatient data and 47 hospitals that submitted ED data. The data used in these figures are considered preliminary, and the results may change with subsequent releases. Even though the data are not nationally representative, they can provide insight on the impact of COVID-19 on various types of hospitals throughout the country. The NHCS data from these hospitals can show results by a combination of indicators related to COVID-19, such as length of inpatient stay, in-hospital mortality, comorbidities, and intubation or ventilator use. Additionally, NHCS data allow for reporting on patient conditions and treatments within the hospital over time.
This dataset describes drug poisoning deaths at the U.S. and state level by selected demographic characteristics, and includes age-adjusted death rates for drug poisoning.
Deaths are classified using the International Classification of Diseases, Tenth Revision (ICD–10). Drug-poisoning deaths are defined as having ICD–10 underlying cause-of-death codes X40–X44 (unintentional), X60–X64 (suicide), X85 (homicide), or Y10–Y14 (undetermined intent).
Estimates are based on the National Vital Statistics System multiple cause-of-death mortality files (1). Age-adjusted death rates (deaths per 100,000 U.S. standard population for 2000) are calculated using the direct method. Populations used for computing death rates for 2011–2017 are postcensal estimates based on the 2010 U.S. census. Rates for census years are based on populations enumerated in the corresponding censuses. Rates for noncensus years before 2010 are revised using updated intercensal population estimates and may differ from rates previously published.
Death rates for some states and years may be low due to a high number of unresolved pending cases or misclassification of ICD–10 codes for unintentional poisoning as R99, “Other ill-defined and unspecified causes of mortality” (2). For example, this issue is known to affect New Jersey in 2009 and West Virginia in 2005 and 2009 but also may affect other years and other states. Drug poisoning death rates may be underestimated in those instances.
The U.S. Census Bureau, in collaboration with five federal agencies, launched the Household Pulse Survey to produce data on the social and economic impacts of Covid-19 on American households. The Household Pulse Survey was designed to gauge the impact of the pandemic on employment status, consumer spending, food security, housing, education disruptions, and dimensions of physical and mental wellness.
The survey was designed to meet the goal of accurate and timely weekly estimates. It was conducted by an internet questionnaire, with invitations to participate sent by email and text message. The sample frame is the Census Bureau Master Address File Data. Housing units linked to one or more email addresses or cell phone numbers were randomly selected to participate, and one respondent from each housing unit was selected to respond for him or herself. Estimates are weighted to adjust for nonresponse and to match Census Bureau estimates of the population by age, gender, race and ethnicity, and educational attainment. All estimates shown meet the NCHS Data Presentation Standards for Proportions.
Provisional counts of deaths in the United States by race and educational attainment. The dataset includes cumulative provisional counts of death for COVID-19, coded to ICD-10 code U07.1 as an underlying or multiple cause of death.
The Research and Development Survey (RANDS) is a platform designed for conducting survey question evaluation and statistical research. RANDS is an ongoing series of surveys from probability-sampled commercial survey panels used for methodological research at the National Center for Health Statistics (NCHS). RANDS estimates were generated using an experimental approach that differs from the survey design approaches generally used by NCHS, including possible biases from different response patterns and increased variability from lower sample sizes. Use of the RANDS platform allowed NCHS to produce more timely data than would have been possible using our traditional data collection methods. RANDS is not designed to replace NCHS’ higher quality, core data collections. Below we provide experimental estimates of loss of work due to illness with coronavirus for two rounds of RANDS during COVID-19. Data collection for the first round occurred between June 9, 2020 and July 6, 2020 and data collection for the second round occurred between August 3, 2020 and August 20, 2020. Information needed to interpret these estimates can be found in the Technical Notes.
NCHS included a question about the inability to work due to being sick or having a family member sick with COVID-19. The National Health Interview Survey (NHIS), conducted by NCHS, is the source for high-quality data to monitor work-loss days and work limitations in the United States. For example, in 2018, 42.7% of adults missed at least one day of work in the previous year due to illness or injury and 9.3% of adults were limited in their ability to work or unable to work due to physical, mental, or emotional problems.
The experimental estimates on this page are derived from RANDS and show the percentage of U.S. adults who did not work for pay at a job or business, at any point, in the previous week because either they or someone in their family was sick with COVID-19.