Graph and download economic data for Dates of U.S. recessions as inferred by GDP-based recession indicator (JHDUSRGDPBR) from Q4 1967 to Q1 2025 about recession indicators, GDP, and USA.

This is a source dataset for a Let's Get Healthy California indicator at "https://letsgethealthy.ca.gov/." This table displays the proportion of adults who were ever told they had a depressive disorder in California. It contains data for California only. The data are from the California Behavioral Risk Factor Surveillance Survey (BRFSS). The California BRFSS is an annual cross-sectional health-related telephone survey that collects data about California residents regarding their health-related risk behaviors, chronic health conditions, and use of preventive services. The BRFSS is conducted by Public Health Survey Research Program of California State University, Sacramento under contract from CDPH. This indicator is based on the question: "“Has a doctor, nurse or other health professional EVER told you that you have a depressive disorder (including depression, major depression, dysthymia, or minor depression)?” NOTE: Denominator data and weighting was taken from the California Department of Finance, not U.S. Census. Values may therefore differ from what has been published in the national BRFSS data tables by the Centers for Disease Control and Prevention (CDC) or other federal agencies.

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, sex, race and ethnicity, and educational attainment. All estimates shown meet the NCHS Data Presentation Standards for Proportions,

A survey of college students in the United States in 2023-2024 found that around 38 percent had symptoms of depression. Symptoms of depression vary in severity and can include a loss of interest/pleasure in things once found enjoyable, feelings of sadness and hopelessness, fatigue, changes in sleep, and thoughts of death or suicide. Mental health among college students Due to the life changes and stress that often come with attending college, mental health problems are not unusual among college students. The most common mental health problems college students have been diagnosed with are anxiety disorders and depression. Fortunately, these are two of the most treatable forms of mental illness, with psychotherapy and/or medications the most frequent means of treatment. However, barriers to access mental health services persist, with around 22 percent of college students stating that in the past year financial reasons caused them to receive fewer services for their mental or emotional health than they would have otherwise received. Depression in the United States Depression is not only a problem among college students but affects people of all ages. In 2021, around ten percent of those aged 26 to 49 years in the United States reported a major depressive episode in the past year. Depression in the United States is more prevalent among females than males, but suicide is almost four times more common among males than females. Death rates due to suicide in the U.S. have increased for both genders in the past few years, highlighting the issue of depression and other mental health disorders and the need for easy access to mental health services.

The Purposes of this Study are to determine: The safety of duloxetine and any side effects that might be associated with it. Whether duloxetine can help patients with major depression. It is possible that information collected during this study will be analyzed by the sponsor in the future to evaluate duloxetine for other possible uses or for other medical or scientific purposes other than those currently proposed. Duloxetine might not have any good effects for you.

Most methods for the assessment of sinkhole hazard susceptibility are predicated upon knowledge of pre-existing closed depressions in karst areas. In the United States (U.S.), inventories of existing karst depressions are piecemeal, and are often obtained through inconsistent methodologies applied at the state or county level and at various scales. Here, we present a first attempt at defining a karst closed depression inventory across the conterminous U.S. using a common methodology. Automated algorithms for extraction of closed depressions from 1/3 arc-second (approximately 10 m resolution) National Elevation Dataset (NED) were run on the U.S. Geological Survey (USGS) “Yeti” high-performance computing cluster. The full NED was first conditioned to reduce the creation of artificial closed depressions by breaching digital dams at road and stream crossings, using the flowlines and transportation route vectors from the USGS National Map. The resulting depressions were selected according to _location within geologic units having the potential for karst, and screened for occurrence in areas of developed land, open water and wetlands, and areas of glacial and alluvial sediment cover. The results were used as the input to create a nationwide depression density map. Our results were compared with karst depression density maps for diverse karst regions within states that have existing closed depression inventories. The individual state-scale maps compared favorably to the results obtained from the method applied universally across the nation and illustrated regional sinkhole hotspots in known areas of well-developed karst. Limitations of the automated method includes false positive depressions resulting from artifacts generated during the computer processing of the elevation models, and inclusion of depressions resulting from non-karst geomorphic processes. Although concerted efforts were made to validate the depression polygons as actual karst features, a more thorough examination of each of the resulting depressions is required on an individual basis to determine its validity as a true karst or pseudokarst landform.

This is a source dataset for a Let's Get Healthy California indicator at "https://letsgethealthy.ca.gov/." This table displays the proportion of adults who were ever told they had a depressive disorder in California. It contains data for California only. The data are from the California Behavioral Risk Factor Surveillance Survey (BRFSS). The California BRFSS is an annual cross-sectional health-related telephone survey that collects data about California residents regarding their health-related risk behaviors, chronic health conditions, and use of preventive services. The BRFSS is conducted by Public Health Survey Research Program of California State University, Sacramento under contract from CDPH. This indicator is based on the question: "“Has a doctor, nurse or other health professional EVER told you that you have a depressive disorder (including depression, major depression, dysthymia, or minor depression)?” NOTE: Denominator data and weighting was taken from the California Department of Finance, not U.S. Census. Values may therefore differ from what has been published in the national BRFSS data tables by the Centers for Disease Control and Prevention (CDC) or other federal agencies.

Depression is a serious mental illness that may be identified by its distinctive symptoms, which include feelings of melancholy and emptiness, feelings of worry and disturbed sleep, as well as a general loss of initiative and interest in activities. In addition, symptoms such as the sensation of guilt or worthlessness, decreased energy, difficulties concentrating, suicidality, and psychotic symptoms may be present. The number, severity, and length of symptoms, as well as the impact on one's ability to function socially and at work, are all factors that go into determining the severity of a depression. Anxiety is a natural response to stress, and there are circumstances in which it can really be helpful. It can warn us of potential threats, assist us in preparing for them, and help us pay attention. Anxiety disorders are distinct from everyday sensations of worry or anxiousness because they include abnormally high levels of these emotions. Anxiety disorders are the most prevalent kind of mental illness, affecting roughly one in every four individuals at some time in their life. However, anxiety disorders may be treated, and there are a variety of therapies that are proven to be helpful. The majority of patients benefit from treatment, which enables them to enjoy normal, productive lives. Depression and anxiety are very common among students. Which affects the studies and social behavior of the students. The dataset is collected from undergraduate students of University of lahore. There are 787 participants contributed to the dataset. This dataset is generated from the inspiration of the Beck Depression and Beck Anxiety inventories. This dataset can be used as the basis for evaluating different machine learning methods and approaches such as: classification of the severity of depression and anxiety. This dataset is also suitable for comparing different machine learning classification approaches.

Content

This report lists each failure of a commercial bank, savings association, and savings bank since the establishment of the FDIC in 1933. Each record includes the institution name and FIN number, institution and charter types, location of headquarters (city and state), effective date, insurance fund and certificate number, failure transaction type, total deposits and total assets last reported prior to failure (in thousands of dollars), and the estimated cost of resolution. Data on estimated losses are not available for FDIC insured failures prior to 1986 or for FSLIC insured failures from 1934-88.

Acknowledgements

The bank failure report was downloaded from the FDIC website.

Inspiration

What type of banking institution is the most likely to fail? How have bank failure rates changed over time? What commercial bank failure cost the federal government the most to resolve?

Question: Hi Réponses:

Hello there. Tell me how are you feeling today? Hi there. What brings you here today? Hi there. How are you feeling today? Great to see you. How do you feel currently? Hello there. Glad to see you're back. What's going on in your world right now?

Question: Good morning Réponses:

Good morning. I hope you had a good night's sleep. How are you feeling today?

Question: Good afternoon Réponses:

Good afternoon. How is your day going?

Question: Good evening Réponses:… See the full description on the dataset page: https://huggingface.co/datasets/salam123/depression.