Graph and download economic data for Migration Fear Index for the United States (USEPUFEARINDX) from Q1 1990 to Q2 2025 about migration, uncertainty, indexes, and USA.

During a 2025 survey in the United States, marketers' optimism level about the American economy declined to **** points, down from **** in Fall 2024. Optimism was at its lowest level since Fall 2022 - that year, Russia's invasion of Ukraine led to global economic uncertainty, while high inflation and recession fears also added to a general negative sentiment.

When members of one ethnic group feel threatened by population trends favoring ethnic "others," would perceived economic gains associated with such population change (as in many cases of migration) reduce perceived threats to security and interethnic hostility? An ideal quasi-experimental setting for addressing this question is Chinese cross-border migration into the Russian Far East, for which the author designed and directed an opinion survey in September 2000 with 1,010 respondents selected through stratified random sampling. Findings based on multiple regression analysis suggest that individuals who perceive interactions with members of a culturally distant ethnic group as economically beneficial feel less threatened and favor less hostile responses toward ethnic "others" -- even if these individuals adhere to negative stereotypes against the latter. Strong effects of perceived economic gains (or losses) with respect to the local economy endure when controlled for party identification, perceptions of relative deprivation, perceptions of the neighboring state's intent to undertake aggressive actions, and perceptions of military balance, as well as for local economic and demographic trends. For both threat and hostility, perceptions of total economic effects attributed to ethnic "others" -- but not perceptions of relative gains among groups -- are found to be a significant predictor.

Both consumer and government spending have continued to rise despite interest rate hikes by the Federal Reserve, but recession fears still loom.

Graph and download economic data for Real-time Sahm Rule Recession Indicator (SAHMREALTIME) from Dec 1959 to Sep 2025 about recession indicators, academic data, and USA.

This dataset covers four articles about the effects of the COVID-19 pandemic and a Collapsing Economy on Mental Health in Lebanon

Managing fear against crime in Mexico was estimated to cost around **** billion Mexican pesos in 2023. The total economic impact of fear due to criminality and violence in this Latin American country had remained rather stable in the indicated period prior to 2023, during that last year the estimated cost increased by over ** billion pesos.

Brazil Fear of Unemployment Index: by Level of Education: 5th to 8th Grade data was reported at 62.500 Point in Jun 2019. This records an increase from the previous number of 58.400 Point for Mar 2019. Brazil Fear of Unemployment Index: by Level of Education: 5th to 8th Grade data is updated quarterly, averaging 35.250 Point from Mar 2010 (Median) to Jun 2019, with 38 observations. The data reached an all-time high of 72.200 Point in Jun 2018 and a record low of 25.150 Point in Mar 2013. Brazil Fear of Unemployment Index: by Level of Education: 5th to 8th Grade data remains active status in CEIC and is reported by National Confederation of Industry. The data is categorized under Brazil Premium Database’s Business and Economic Survey – Table BR.SK004: Fear of Unemployment: by Level of Education.

Migration Fear for the United States was 335.30820 Index in April of 2025, according to the United States Federal Reserve. Historically, Migration Fear for the United States reached a record high of 356.82827 in July of 2017 and a record low of 61.08892 in April of 2016. Trading Economics provides the current actual value, an historical data chart and related indicators for Migration Fear for the United States - last updated from the United States Federal Reserve on November of 2025.

This study aims to identify the significance of age and employment to individual function during COVID-19. An online survey included 509 Israeli citizens, ages 18–78, who reported individual function, depression, fears related to COVID-19 and demographic characteristics. Structural Equation Modeling (SEM) analysis showed a good fit between our model and the data. Age and employment were negatively associated with depression and economic fears related to COVID-19 that, in turn, were negatively associated with individual function. The effect of age and employment on individual function was fully mediated via depression and economic fears related to COVID-19. The discussion addresses our findings in the context of the victimization paradox. Although COVID-19 related health complications are more frequent among older adults, our results suggest that practitioners responsible for public mental health during viral pandemics should consider young age and unemployment as risk factors for depression and low individual function.

BackgroundThis study aimed at examining the combined outcomes of the COVID-19 pandemic and a collapsing economy on the quality of life (QOL) of the general Lebanese population.MethodsA cross-sectional study was conducted from 10-18 May 2020, via an online-based questionnaire using the snowball sampling technique. It enrolled 502 adult participants.

By April 2026, it is projected that there is a probability of ***** percent that the United States will fall into another economic recession. This reflects a significant decrease from the projection of the preceding month.

Brazil Fear of Unemployment Index: by Level of Education: Until 4th Grade data was reported at 65.050 Point in Jun 2019. This records an increase from the previous number of 58.950 Point for Mar 2019. Brazil Fear of Unemployment Index: by Level of Education: Until 4th Grade data is updated quarterly, averaging 31.600 Point from Mar 2010 (Median) to Jun 2019, with 38 observations. The data reached an all-time high of 72.900 Point in Sep 2017 and a record low of 23.500 Point in Mar 2013. Brazil Fear of Unemployment Index: by Level of Education: Until 4th Grade data remains active status in CEIC and is reported by National Confederation of Industry. The data is categorized under Brazil Premium Database’s Business and Economic Survey – Table BR.SK004: Fear of Unemployment: by Level of Education.

The Dow Jones Industrial Average (DJIA) index dropped around ***** points in the four weeks from February 12 to March 11, 2020, but has since recovered and peaked at ********* points as of November 24, 2024. In February 2020 - just prior to the global coronavirus (COVID-19) pandemic, the DJIA index stood at a little over ****** points. U.S. markets suffer as virus spreads The COVID-19 pandemic triggered a turbulent period for stock markets – the S&P 500 and Nasdaq Composite also recorded dramatic drops. At the start of February, some analysts remained optimistic that the outbreak would ease. However, the increased spread of the virus started to hit investor confidence, prompting a record plunge in the stock markets. The Dow dropped by more than ***** points in the week from February 21 to February 28, which was a fall of **** percent – its worst percentage loss in a week since October 2008. Stock markets offer valuable economic insights The Dow Jones Industrial Average is a stock market index that monitors the share prices of the 30 largest companies in the United States. By studying the performance of the listed companies, analysts can gauge the strength of the domestic economy. If investors are confident in a company’s future, they will buy its stocks. The uncertainty of the coronavirus sparked fears of an economic crisis, and many traders decided that investment during the pandemic was too risky.

A wide-ranging representative longitudinal study of private households that permits researchers to track yearly changes in the health and economic well-being of older people relative to younger people in Germany from 1984 to the present. Every year, there were nearly 11,000 households, and more than 20,000 persons sampled by the fieldwork organization TNS Infratest Sozialforschung. The data provide information on all household members, consisting of Germans living in the Old and New German States, Foreigners, and recent Immigrants to Germany. The Panel was started in 1984. Some of the many topics include household composition, occupational biographies, employment, earnings, health and satisfaction indicators. In addition to standard demographic information, the GSOEP questionnaire also contains objective measuresuse of time, use of earnings, income, benefit payments, health, etc. and subjective measures - level of satisfaction with various aspects of life, hopes and fears, political involvement, etc. of the German population. The first wave, collected in 1984 in the western states of Germany, contains 5,921 households in two randomly sampled sub-groups: 1) German Sub-Sample: people in private households where the head of household was not of Turkish, Greek, Yugoslavian, Spanish, or Italian nationality; 2) Foreign Sub-Sample: people in private households where the head of household was of Turkish, Greek, Yugoslavian, Spanish, or Italian nationality. In each year since 1984, the GSOEP has attempted to re-interview original sample members unless they leave the country. A major expansion of the GSOEP was necessitated by German reunification. In June 1990, the GSOEP fielded a first wave of the eastern states of Germany. This sub-sample includes individuals in private households where the head of household was a citizen of the German Democratic Republic. The first wave contains 2,179 households. In 1994 and 1995, the GSOEP added a sample of immigrants to the western states of Germany from 522 households who arrived after 1984, which in 2006 included 360 households and 684 respondents. In 1998 a new refreshment sample of 1,067 households was selected from the population of private households. In 2000 a sample was drawn using essentially similar selection rules as the original German sub-sample and the 1998 refreshment sample with some modifications. The 2000 sample includes 6,052 households covering 10,890 individuals. Finally, in 2002, an overrepresentation of high-income households was added with 2,671 respondents from 1,224 households, of which 1,801 individuals (689 households) were still included in the year 2006. Data Availability: The data are available to researchers in Germany and abroad in SPSS, SAS, TDA, STATA, and ASCII format for immediate use. Extensive documentation in English and German is available online. The SOEP data are available in German and English, alone or in combination with data from other international panel surveys (e.g., the Cross-National Equivalent Files which contain panel data from Canada, Germany, and the United States). The public use file of the SOEP with anonymous microdata is provided free of charge (plus shipping costs) to universities and research centers. The individual SOEP datasets cannot be downloaded from the DIW Web site due to data protection regulations. Use of the data is subject to special regulations, and data privacy laws necessitate the signing of a data transfer contract with the DIW. The English Language Public Use Version of the GSOEP is distributed and administered by the Department of Policy Analysis and Management, Cornell University. The data are available on CD-ROM from Cornell for a fee. Full instructions for accessing GSOEP data may be accessed on the project website, http://www.human.cornell.edu/che/PAM/Research/Centers-Programs/German-Panel/cnef.cfm * Dates of Study: 1984-present * Study Features: Longitudinal, International * Sample Size: ** 1984: 12,290 (GSOEP West) ** 1990: 4,453 (GSOEP East) ** 2000: 20,000+ Links: * Cornell Project Website: http://www.human.cornell.edu/che/PAM/Research/Centers-Programs/German-Panel/cnef.cfm * GSOEP ICPSR: http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/00131

Brazil Fear of Unemployment Index: by Level of Education: Higher Education data was reported at 51.450 Point in Jun 2019. This records an increase from the previous number of 51.000 Point for Mar 2019. Brazil Fear of Unemployment Index: by Level of Education: Higher Education data is updated quarterly, averaging 32.250 Point from Mar 2010 (Median) to Jun 2019, with 38 observations. The data reached an all-time high of 62.950 Point in Mar 2016 and a record low of 23.550 Point in Mar 2013. Brazil Fear of Unemployment Index: by Level of Education: Higher Education data remains active status in CEIC and is reported by National Confederation of Industry. The data is categorized under Brazil Premium Database’s Business and Economic Survey – Table BR.SK004: Fear of Unemployment: by Level of Education.

Brazil Fear of Unemployment Index: by Sex: Male data was reported at 52.850 Point in Jun 2019. This records an increase from the previous number of 51.500 Point for Mar 2019. Brazil Fear of Unemployment Index: by Sex: Male data is updated quarterly, averaging 30.300 Point from Mar 2010 (Median) to Jun 2019, with 38 observations. The data reached an all-time high of 64.500 Point in Jun 2018 and a record low of 20.600 Point in Mar 2013. Brazil Fear of Unemployment Index: by Sex: Male data remains active status in CEIC and is reported by National Confederation of Industry. The data is categorized under Brazil Premium Database’s Business and Economic Survey – Table BR.SK002: Fear of Unemployment: by Sex.

The covid-19 pandemic became an unprecedented global threat, it was accompanied by an increase in trust in governments as well as fear among the public. Previous research suggests that both institutional trust and fear contribute to the willingness of citizens to comply with anti-pandemic measures. Moreover, fear during the contagion also increases trust in government. This article presents a test of the mediation of the effects of fear on compliance through trust. In addition, it differentiates between three different facets of oid-19 related fear: fear of the disease, fear of economic consequences, and fear of political consequences. The results suggest that while fear of the disease increases compliance, fear of political consequences decreases compliance. Moreover, the effects of fear are mediated through trust in government. The negative impact of fear of political consequences on compliance increased between first and second wave of covid-19 crisis.

We develop a quantifiable general equilibrium model of trade and multinational production (MP) in which countries can specialize in innovation or production. Home market effects or comparative advantage leads some countries to specialize in innovation and relegate manufacturing operations to other countries via outward MP. Counterfactual analysis reveals that the reduction in the cost of MP or the integration of China into the world economy may hurt countries that are driven to specialize in production, although these losses tend to be very small. Contrary to popular fears, production workers gain even in countries that further specialize in innovation.

Brazil Fear of Unemployment Index: by Age: 25 to 29 Years data was reported at 58.100 Point in Jun 2019. This records a decrease from the previous number of 58.300 Point for Mar 2019. Brazil Fear of Unemployment Index: by Age: 25 to 29 Years data is updated quarterly, averaging 63.300 Point from Mar 2013 (Median) to Jun 2019, with 26 observations. The data reached an all-time high of 71.550 Point in Jun 2016 and a record low of 28.250 Point in Mar 2013. Brazil Fear of Unemployment Index: by Age: 25 to 29 Years data remains active status in CEIC and is reported by National Confederation of Industry. The data is categorized under Brazil Premium Database’s Business and Economic Survey – Table BR.SK003: Fear of Unemployment: by Age.