The QWI are reported using detailed firm characteristics geography, industry, age, size and worker demographics information sex, age, education, race, ethnicity. Data are available for states, metropolitan areas, and counties. The LODES are a partially synthetic dataset that describes geographic patterns of jobs by their employment locations and workers by their residential locations as well as the connections between the two locations.
Introduction The association between unemployment and poor physical and mental health is well established 1—7. Unemployed persons tend to have higher annual illness rates, lack health insurance and access to health care, and have an increased risk for death 1,2,8,9.
Several studies indicate that employment status influences a person's health; however, poor health also affects a person's ability to obtain and retain employment Poor health predisposes persons to a more uncertain position in the labor market and increases the risk for unemployment 5,6.
Inthe unemployment prevalence both for males and females was twice as high in the black and Hispanic populations as in the white population The disparities in unemployment prevalence extend across the country and have increased from January to December Because unemployment has historically been substantially higher in black and Hispanic populations during past decades and because unemployment has increased substantially from the start of the recession in December 13,14associations between unemployment and health and between unemployment and minority status need to be further studied.
The CHDIR 15 was the first CDC report to assess disparities across a wide range of diseases, behavioral risk factors, environmental exposures, social determinants, and health-care access.
The purposes of this unemployment and health analysis are to discuss and raise awareness of differences in the characteristics of persons who are unemployed and differences in health status by employment status and to prompt actions to reduce these disparities.
The association between unemployment and self-reported health status, physical health, and mental health in also was examined. The state-specific unemployment prevalences were calculated and shown on a U. All analyses were limited to persons aged 18—64 years.
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Persons who did not respond to this question were excluded from the analysis. The employment question responses were recategorized into the following groups: Data were analyzed to assess disparities in unemployment prevalence for and To examine the association between unemployment and health status, data for the following three health outcomes were collected from the BRFSS data set: Physically unhealthy days and mentally unhealthy days were categorized separately as 0 days, 1—15 days, and 16—30 days.
Disparities were measured as the deviations from a referent group, which was the group that had the most favorable estimate for the variables used to assess disparities during the time reported.
Absolute difference was calculated by subtracting the unemployment prevalence for the group of interest from the referent group. The relative difference, a percentage, was calculated by dividing the absolute difference by the value in the referent category and multiplying by All state and national estimates were weighted by BRFSS sample weights using statistical software to account for the complex design.
CIs were used as measure of variability, and nonoverlapping CIs were considered statistically different. Using CIs in this way is a conservative evaluation of significance differences; infrequently, this might lead to a conclusion that estimates are similar when the point estimates do differ.
All reported differences in this report are significant based on the CI comparison. Results Unemployment prevalence increased from to for all adults aged 18—64 years, particularly among adults aged 25—44 years Table 1. In general, unemployment prevalence increased among both males and females referent group ; however, males reported higher unemployment prevalence than females in both andand this difference gradually increased to In both years, the unemployment prevalence among persons with no health insurance was approximately 4 times higher than that for persons with health insurance.
The unemployment prevalence decreased as levels of education and income increased in both and Inthe highest prevalence of unemployment among men was in the Northeast and West Figure 1 and among women was in the South and West Figure 2.
The Midwest region had the lowest unemployment prevalence for both sexes. The West region e. Inunemployed persons were less likely than employed persons to report their health as excellent or very good Table 2.
A higher percentage of employed persons reported that they were in excellent or very good health Persons who were employed were more likely to report no physically unhealthy days BLS defines an unemployed person as someone who does not have a job, has been actively looking for work in the past 4 weeks, and is currently available for work 12, BRFSS was selected for this analysis because the data set includes variables of interest that enable health status assessment and report on the disparities by employment.Economic statistics from the Census Bureau's County Business Patterns also show changes in health care-related industries.
For example, the number of employees in long-term care facilities, such as continuing care communities, grew by about 12 percent between and US: Major Sources. Official U.S. statistics. Unlike many countries, the United States Government does not have one central statistical agency.
Statistical collection and dissemination are spread across a number of agencies.. U.S. Census Bureau.
Bureau of Statistics (Treasury) and Bureau of Foreign Commerce (State) transferred to newly established Department of Commerce and Labor, and consolidated as the Bureau of Statistics, by the Department of Commerce Act (32 Stat. ), February 14, , which also established a Bureau of Manufactures to promote development of U.S.
manufacturing. The Bureau of Labor Statistics is the principal fact-finding agency for the Federal Government in the broad field of labor economics and statistics.
National Dislocated Worker Grants. The U.S. Department of Labor is ready to make available National Dislocated Worker Grant funding to help North Carolina, South Carolina, and Georgia assess workforce needs in the wake of Hurricane Florence.
The Justice Department’s Bureau of Justice Statistics (a component of the Office of Justice Programs) has awarded more than $64 million to state agencies for Fiscal Year to improve the completeness, quality, and accessibility of the nation’s criminal record systems.