As of August 2024, ** percent of adults surveyed worldwide believed that stress was the biggest health problem in their country, the highest in the provided time interval. This statistic illustrates the share of adults worldwide who believed that stress was the biggest health concern in their country from 2018 to 2024.
Surveys fielded in 2023 in 142 countries around the world found that the countries/regions in which people were most likely to state that they experienced stress in the previous day were Northern Cyprus, Israel, and Nigeria. In Israel, around 62 percent of respondents reported feeling stressed in the day prior to being surveyed. Stress is a major health problem around the world In 2023, a survey of adults from 31 countries asked what the biggest health problems facing their country were, and stress was the third most common response, behind cancer and mental health. The countries most likely to report stress as the biggest health problem in their country were South Korea, Turkey, and Switzerland. At that time, around 44 percent of people in South Korea felt stress was their country’s biggest health problem, compared to just 15 percent of people in India and Great Britain. Young people worldwide are more likely to report moderate to severe symptoms of stress, but still, a quarter of those aged 65 years and older reported having moderate to severe symptoms of stress in 2022. Causes of stress and its impact Although stress is a global problem, the causes of stress can vary from country to country. In the United States, some common sources of stress include personal finances, politics and current events, relationships with family and friends, and work. How stress manifests itself also differs, but common symptoms of stress include headache, fatigue, feeling nervous or anxious, feeling sad or depressed, and a loss of interest, motivation, and energy. A recent survey of U.S. adults found that around 36 percent stated that their mental health is negatively impacted when they feel stressed, while 32 percent said stress impacts their physical health. Some healthy ways to cope with stress include avoiding possible stress triggers like reading the news too often, exercising, eating healthy, talking to others, and avoiding drugs and alcohol.
A survey conducted in 2022 found that young adults aged between 18 and 24 were more likely to suffer from moderate to severe stress, depression, and anxiety symptoms. That year, around 66 percent of respondents from this age group reported stress-related symptoms, while 25 percent of those aged 65 and older had similar symptoms. Similar age group trends were also noted for negative effects on wellbeing from feelings of loneliness. Additionally, fewer men than women were likely to report having mental health conditions such as stress, anxiety, and depression. Anxiety, depression, and stress in Europe In Europe, there is a notable variation in the prevalence of mental illnesses. Throughout the epidemic, depression and anxiety increased in all EU nations, affecting young people, particularly young women and those in financial difficulties. A study published by the OECD reported that 55 percent of adults residing in the EU were at risk of depression in 2022. Another study, published in the same year, found that more than half of the respondents surveyed in Ireland, the United Kingdom, and Italy had reported experiencing stress. Anxiety, depression, and loneliness in the U.S. In the United States, anxiety, depression, and loneliness are prevalent issues affecting a significant portion of the population. According to a survey done in 2022, one-third of U.S. adults aged between 18 and 29 years mentioned that they “always” or “often” felt depressed or lonely in the past year. Over half of U.S. adults in the same age group reported that they felt anxious. Furthermore, adults with lower household incomes were more likely than those with higher household incomes to mention that they felt anxious, lonely, or depressed.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This is the dataset used for the following article: A Global Meta-Analysis of Depression, Anxiety, and Stress Before and During COVID-19
BY Hojjat Daniali, Monica Martinussen, and Magne Arve Flaten
Objective: This meta-analysis compared negative emotions (NEs) as depression, anxiety, and stress, from before the pandemic to during the pandemic. Method: A total of 59 studies (19 before, 37 during-pandemic, and 3 that included both) using. The Depression, Anxiety and Stress Scale (DASS) were included. A random effects model estimated the means of NEs before and during the pandemic. Results: Studies from 47 countries involving 193,337 participants were included. Globally, NEs increased during the pandemic, and depression had the largest elevation. In Asia, depression and stress were elevated, whereas in Europe, only depression increased, and in America, no differences in NEs between before and during the pandemic were observed. The later time phase of the pandemic was associated with lower stress globally, and lower stress and anxiety in Europe. Being younger was associated with more stress globally, and being older was associated with higher anxiety in Asia. Students had higher anxiety globally and higher NEs in all three aspects in Europe compared to the general population. The COVID-19 infection rate was associated with more stress globally, and stress and anxiety in Europe. During the pandemic, females reported higher levels of depression, anxiety, and stress compared to males, most pronounced in Europe. Conclusion: NEs increased during the pandemic, with younger and student populations, females and Asians having the highest elevations.
The first datset named ''Negative emotions total 2022-12-15'' includes the means and SDs for negative emotions for all included studies.
The second dataset named '' Negative emotions males and females 2022-12-15'' includes means and SDs for negative emotions for males and females (standardized mean differences; Hedges' g).
Respondents in the United States were more likely than people from other countries to report mental health concerns such as stress, anxiety, or great sadness since the COVID-19 outbreak. This statistic shows the percentage of adults in select countries who reported experiencing stress, anxiety, or great sadness that was difficult to cope with alone since the start of the COVID-19 outbreak, according to a survey conducted between March and May 2020.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
OFR Financial Stress Index: United States data was reported at -0.934 Index in 13 May 2025. This records a decrease from the previous number of -0.913 Index for 12 May 2025. OFR Financial Stress Index: United States data is updated daily, averaging -0.844 Index from Jan 2000 (Median) to 13 May 2025, with 6409 observations. The data reached an all-time high of 4.988 Index in 23 Mar 2020 and a record low of -2.008 Index in 02 Jul 2021. OFR Financial Stress Index: United States data remains active status in CEIC and is reported by Office of Financial Research. The data is categorized under Global Database’s United States – Table US.S: OFR Financial Stress Index.
In 2023, a survey of adults from 39 countries worldwide found respondents in ******** were most likely to report their stress/mental health as very good/quite good, while respondents in ********* were least likely to report having good stress/mental health. This statistic shows the percentage of adults worldwide who stated their stress level/mental health was good or poor, by country.
In 2024, around 43 percent of adults in South Korea stated that they believed stress was the biggest health problem facing people in their country, while in India, only around 14 percent of adults stated the same. This statistic illustrates the percentage of adults worldwide who stated that stress was the biggest health issue people in their country were facing in 2024.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
United States OFR Financial Stress Index - OFR FSI data was reported at -1.731 Index in 13 May 2025. This records a decrease from the previous number of -1.544 Index for 12 May 2025. United States OFR Financial Stress Index - OFR FSI data is updated daily, averaging -1.677 Index from Jan 2000 (Median) to 13 May 2025, with 6409 observations. The data reached an all-time high of 10.266 Index in 19 Mar 2020 and a record low of -4.364 Index in 12 Feb 2021. United States OFR Financial Stress Index - OFR FSI data remains active status in CEIC and is reported by Office of Financial Research. The data is categorized under Global Database’s United States – Table US.S: OFR Financial Stress Index.
https://electroiq.com/privacy-policyhttps://electroiq.com/privacy-policy
Mental Health Statistics: Mental health refers to the emotional and psychological aspects of social health and well-being. The World Health Organization states it to be a condition where an individual can deal with the daily stress of life and work fruitfully without compromising on health. For the most part, it is an essential aspect that needs to be addressed to ensure holistic well-being.
Likewise, we will go through the Mental Health Statistics and learn about the relevant elements of this health topic and learn more about it.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Motivation
Increasing heat stress due to climate change poses significant risks to human health and can lead to widespread social and economic consequences. Evaluating these impacts requires reliable datasets of heat stress projections.
Data Record
We present a global dataset projecting future dry-bulb, wet-bulb, and wet-bulb globe temperatures under 1-4°C global warming scenarios (at 0.5°C intervals) relative to the preindustrial era, using outputs from 16 CMIP6 global climate models (GCMs) (Table 1). All variables were retrieved from the historical and SSP585 scenarios which were selected to maximize the warming signal.
The dataset was bias-corrected against ERA5 reanalysis by incorporating the GCM-simulated climate change signal onto the ERA5 baseline (1950-1976) at a 3-hourly frequency. It therefore includes a 27-year sample for each GCM under each warming target.
The data is provided at a fine spatial resolution of 0.25° x 0.25° and a temporal resolution of 3 hours, and is stored in a self-describing NetCDF format. Filenames follow the pattern "VAR_bias_corrected_3hr_GCM_XC_yyyy.nc", where:
"VAR" represents the variable (Ta, Tw, WBGT for dry-bulb, wet-bulb, and wet-bulb globe temperature, respectively),
"GCM" denotes the CMIP6 GCM name,
"X" indicates the warming target compared to the preindustrial period,
"yyyy" represents the year index (0001-0027) of the 27-year sample
Table 1 CMIP6 GCMs used for generating the dataset for Ta, Tw and WBGT.
GCM |
Realization |
GCM grid spacing |
Ta |
Tw |
WBGT |
ACCESS-CM2 |
r1i1p1f1 |
1.25ox1.875o |
✓ |
✓ |
✓ |
BCC-CSM2-MR |
r1i1p1f1 |
1.1ox1.125o |
✓ |
✓ |
✓ |
CanESM5 |
r1i1p2f1 |
2.8ox2.8o |
✓ |
✓ |
✓ |
CMCC-CM2-SR5 |
r1i1p1f1 |
0.94ox1.25o |
✓ |
✓ |
✓ |
CMCC-ESM2 |
r1i1p1f1 |
0.94ox1.25o |
✓ |
✓ |
✓ |
CNRM-CM6-1 |
r1i1p1f2 |
1.4ox1.4o |
✓ |
✓ | |
EC-Earth3 |
r1i1p1f1 |
0.7ox0.7o |
✓ |
✓ |
✓ |
GFDL-ESM4 |
r1i1p1f1 |
1.0ox1.25o |
✓ |
✓ |
✓ |
HadGEM3-GC31-LL |
r1i1p1f3 |
1.25ox1.875o |
✓ |
✓ |
✓ |
HadGEM3-GC31-MM |
r1i1p1f3 |
0.55ox0.83o |
✓ |
✓ |
✓ |
KACE-1-0-G |
r1i1p1f1 |
1.25ox1.875o |
✓ |
✓ |
✓ |
KIOST-ESM |
r1i1p1f1 |
1.9ox1.9o |
✓ |
✓ |
✓ |
MIROC-ES2L |
r1i1p1f2 |
2.8ox2.8o |
✓ |
✓ |
✓ |
MIROC6 |
r1i1p1f1 |
1.4ox1.4o |
✓ |
✓ |
✓ |
MPI-ESM1-2-HR |
r1i1p1f1 |
0.93ox0.93o |
✓ |
✓ |
✓ |
MPI-ESM1-2-LR |
r1i1p1f1 |
1.85ox1.875o |
✓ |
✓ |
✓ |
Data Access
An inventory of the dataset is available in this repository. The complete dataset, approximately 57 TB in size, is freely accessible via Purdue Fortress' long-term archive through Globus at Globus Link. After clicking the link, users may be prompted to log in with a Purdue institutional Globus account. You can switch to your institutional account, or log in via a personal Globus ID, Gmail, GitHub handle, or ORCID ID. Alternatively, the dataset can be accessed by searching for the universally unique identifier (UUID): "6538f53a-1ea7-4c13-a0cf-10478190b901" in Globus.
Dataset Validation
We validate the bias-correction method and show that it significantly enhances the GCMs' accuracy in reproducing both the annual average and the full range of quantiles for all metrics within an ERA5 reference climate state. This dataset is expected to support future research on projected changes in mean and extreme heat stress and the assessment of related health and socio-economic impacts.
For a detailed introduction to the dataset and its validation, please refer to our data descriptor currently under review at Scientific Data. We will update this information upon publication.
https://www.fnfresearch.com/privacy-policyhttps://www.fnfresearch.com/privacy-policy
[205+ Pages Report] Global workplace stress management market size & share to be worth USD 15.4 Billion by 2026, growing at a CAGR value of 8.7% during the forecast period of 2021-2026.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Financial Stress Index (STLFSI3) data was reported at -1.706 % in 28 Oct 2022. This records an increase from the previous number of -1.855 % for 21 Oct 2022. Financial Stress Index (STLFSI3) data is updated weekly, averaging -0.201 % from Dec 1993 (Median) to 28 Oct 2022, with 1505 observations. The data reached an all-time high of 8.257 % in 10 Oct 2008 and a record low of -1.887 % in 12 Aug 2022. Financial Stress Index (STLFSI3) data remains active status in CEIC and is reported by Federal Reserve Bank of St. Louis. The data is categorized under Global Database’s United States – Table US.S018: Financial Stress Index.
The ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS) mission measures the temperature of plants to better understand how much water plants need and how they respond to stress. ECOSTRESS is attached to the International Space Station (ISS) and collects data globally between 52 degrees N and 52 degrees S latitudes. The ECO4ESIPTJPL Version 1 data product provides Evaporative Stress Index (ESI) data generated according to the Priestley-Taylor Jet Propulsion Laboratory (PT-JPL) algorithm described in the ECOSTRESS Level 4 (ESI_PT-JPL) Algorithm Theoretical Basis Document (ATBD). The ESI product is derived from the ratio of the Level 3 actual evapotranspiration (ET) to potential ET (PET) calculated as part of the algorithm. The ESI is an indicator of potential drought and plant water stress emphasizing areas of sub-optimal plant productivity.The ECO4ESIPTJPL Version 1 data product contains variables of ESI and PET.Known Issues Data acquisition gaps: ECOSTRESS was launched on June 29, 2018, and moved to autonomous science operations on August 20, 2018, following a successful in-orbit checkout period. On September 29, 2018, ECOSTRESS experienced an anomaly with its primary mass storage unit (MSU). ECOSTRESS has a primary and secondary MSU (A and B). On December 5, 2018, the instrument was switched to the secondary MSU and science operations resumed. On March 14, 2019, the secondary MSU experienced a similar anomaly temporarily halting science acquisitions. On May 15, 2019, a new data acquisition approach was implemented and science acquisitions resumed. To optimize the new acquisition approach TIR bands 2, 4 and 5 are being downloaded. The data products are as previously, except the bands not downloaded contain fill values (L1 radiance and L2 emissivity). This approach was implemented from May 15, 2019, through April 28, 2023. Data acquisition gap: From February 8 to February 16, 2020, an ECOSTRESS instrument issue resulted in a data anomaly that created striping in band 4 (10.5 micron). These data products have been reprocessed and are available for download. No ECOSTRESS data were acquired on February 17, 2020, due to the instrument being in SAFEHOLD. Data acquired following the anomaly have not been affected.* Data acquisition: ECOSTRESS has now successfully returned to 5-band mode after being in 3-band mode since 2019. This feature was successfully enabled following a Data Processing Unit firmware update (version 4.1) to the payload on April 28, 2023. To better balance contiguous science data scene variables, 3-band collection is currently being interleaved with 5-band acquisitions over the orbital day/night periods.
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
This dataset contains key characteristics about the data described in the Data Descriptor COVIDiSTRESS Global Survey dataset on psychological and behavioural consequences of the COVID-19 outbreak. Contents:
1. human readable metadata summary table in CSV format
2. machine readable metadata file in JSON format
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Zip file containing the model data presented in the manuscript
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Financial Stress Index (STLFSI2) data was reported at -0.851 % in 07 Jan 2022. This records an increase from the previous number of -0.920 % for 31 Dec 2021. Financial Stress Index (STLFSI2) data is updated weekly, averaging -0.213 % from Dec 1993 (Median) to 07 Jan 2022, with 1463 observations. The data reached an all-time high of 9.193 % in 10 Oct 2008 and a record low of -1.131 % in 22 Oct 2021. Financial Stress Index (STLFSI2) data remains active status in CEIC and is reported by Federal Reserve Bank of St. Louis. The data is categorized under Global Database’s United States – Table US.S018: Financial Stress Index.
Contains monthly averaged ocean surface wind stress derived from Seasat-A Scatterometer (SASS) wind retrievals, from July 1978 until October 1978, gridded on a 2.5-degree by 2.5 degree global grid. The vector average wind stress is stored in units of dynes per centimeter squared (dyn/cm^2). Data is provided in formatted ASCII text. The primary data set used to construct these wind stress fields consists of 96 days of SASS vector winds supplied by Robert Atlas at GSFC. The directional ambiguities in the raw SASS data had been objectively removed using the GSFC Laboratory for Atmospheric Sciences atmospheric general circulation model.
https://www.statsndata.org/how-to-orderhttps://www.statsndata.org/how-to-order
The Anxiety and Stress Management market has rapidly evolved into a critical sector, addressing the growing prevalence of mental health issues across diverse populations. As mental health awareness rises globally, the market has demonstrated significant growth, with a current value estimated at several billion dolla
https://www.statsndata.org/how-to-orderhttps://www.statsndata.org/how-to-order
The Stress Management Drug market is an increasingly vital segment of the healthcare industry, addressing a growing need for solutions to combat stress-related disorders in today's fast-paced world. With rising incidences of anxiety, depression, and other stress-induced conditions, these pharmaceutical interventions
As of August 2024, ** percent of adults surveyed worldwide believed that stress was the biggest health problem in their country, the highest in the provided time interval. This statistic illustrates the share of adults worldwide who believed that stress was the biggest health concern in their country from 2018 to 2024.