Creating Healthy Communities / Reducing Unemployment

Creating Healthy Communities / Reducing Unemployment2020-09-19T08:43:50+00:00

A stable job with fair pay leads to better health.1

Stable employment allows people to afford the goods and services that are necessary to meet basic needs and wellbeing. Economic opportunity, especially having a job, is one the most powerful predictors of good health.2 Unemployment, especially for people in or near poverty, is associated with higher rates of stress-related illnesses and increased mortality.3,4 These negative health outcomes affect not only the unemployed persons but can extend to their families. Longer unemployment can increase risk of these negative health effects.3

This indicator tracks the percentage of labor force who are unemployed.3

Indicator Highlights

In the last six years, employment in California grew 12.7%, with the labor market nearing full employment at pre-recession levels and outpacing growth in the working-age population, which increased by 6.9%.5

Of those who remain unemployed, more than one-quarter (26.0%) have been looking for work for six months or longer, and 16.9% have been looking for a year or longer.5

Laid-off workers are 54% more likely to have fair or poor health, compared to those who are continuously employed.1

In 2017, nearly 2 million Californians age 25–64 were working but still in poverty (12.2% of working adults in that age group). About two-thirds were employed year round, with 45% working full time and 21% working part time; another third worked less than a full year.6

Raising the minimum wage—as the state has recently done—may help some working poor adults.6

Policies that promote more predictable work schedules and support access to childcare could help working parents maintain and expand their employment hours.6

Access to high-quality education and training programs can improving career prospects throughout the California workforce.6

Data Snapshot: Trends & Disparities

Studies have found that there is a greater likelihood that a person with disabilities will suffer long-term unemployment compared to a person without disabilities.7

 

More recent veterans, typically termed Post-9/11, tend to face higher levels of long-term unemployment 7

 

Individuals with less education often have fewer employment choices, which may force them into positions with low levels of control, job insecurity, and low wages.4

 

Unemployment rate is highest in Imperial county (19.1%) compared to the lowest in San Mateo county (2.7%).

Large, coastal areas currently have unemployment rates below the California rate of 4.8%. In contrast, many parts of the San Joaquin Valley have unemployment rates nearly twice the statewide rate.

 

Factors beyond full-time employment (cost of living, access to safety net resources) can make it difficult for working adults to make ends meet. For working adults the highest poverty rates are in Los Angeles County (15%) and Orange County (14%), while the Sacramento area (9%) and the Central Valley and Sierra counties (10%) have the lowest rates.6

Economic stability varies dramatically by employment status: among year-round workers, nearly a quarter (24%) of part-timers were in poverty, compared to only 8% of full-timers.6

Across age groups, workers younger than 25 are the most likely to be working part-time involuntarily (18.9%)—by contrast, only about 6% of workers 25 and older are working part-time involuntarily.7

 

Latinos are overrepresented among the working poor (56% vs. 36% of all working adults).6

Percentage of Labor Force That is Unemployed, Over Time

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Percentage of Labor Force That is Unemployed, by County

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Indicator Name: Unemployment Rate

Indicator Description: Number of unemployed as a percentage of the labor force (people who are jobless, actively seeking work, and available to take a job).

Data Limitations: Does not include people who are able to work but either choose not to or have given up looking for a job. Does not include people who desire to work but are unable to (e.g. for health reasons). Does not measure underemployment. Unemployment statistics for the sub-national level are not direct survey estimates but instead models based on a variety of data inputs.

Indicator Source: Variety of data inputs including Current Population Survey (CPS), Current Employment Statistics (CES) survey, American Community Survey (ACS), and state unemployment insurance (UI) systems.

Indicator Calculation Methodology: https://www.bls.gov/lau/lauov.htm

Data Collection Methodology: https://www.bls.gov/lau/lauov.htm

Program URL Link: https://www.bls.gov/home.htm

Reporting Cycle: Quarterly — LGHC reports on annually.

Reporting Lag: Quarterly for data source — 1 year for LGHC.

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