• Your names

• Name of datasets

• Link to datasets

• Organizations that created/monitor data set

• Description of what they are looking at

• How does this represent a social determinant of health?

• One interesting data you’ve noticed from each dataset

• Photo (optional)

Local Area Unemployment Statistics, is a dataset monitored and maintained by the Bureau of Labor Statistics. They monitor unemployment rates by numerous different metrics, including by state. Unemployment can play a critical role and be a social determinant of health in itself, as it affects a person's ability to fund a living for themselves or pay for access to food, shelter, and healthcare. One interesting thing we noticed for the dataset, when looking at unemployment rates by state, rates were record high in almost all states in April 2020, which is when the Covid-19 pandemic began. Now, especially last year around spring 2023, some states are hitting record lows, a big difference from when the pandemic began.

The name of the dataset is The Climate and Economic Justice Tool. President Joe Biden worked alongside the Council on Environmental Quality to create this dataset that works to serve underserved and underdeveloped communities that could be suffering from long-term, pollution, disasters, climate change, and much more. The main goal is to use this dataset to issue 40% of the investments catered towards a cleaner planet, to these struggling communities. Social Determinants of Health are social factors that can impact an individual's and community's health. By addressing the environmental factors of these disadvantaged communities, they aim to improve the community's health hence why this is a representation of SDoH. One interesting fact that I noticed from the dataset is that 16% of the city of Fairfax are 64 years or older.

• Local Area Unemployment Statistics

• https://www.bls.gov/lau/

• U.S. Bureau of Labor Statistics (BLS)

• The BLS is produces monthly and annual employment, unemployment, and labor force data for Census regions and divisions, States, counties, and many cities, by place of residence

• Where there is a lot of unemployment, there's more poverty and an increase and negative impacts on a persons quality of health (mental, physical health, substance use, etc.)

• I looked at Nevada and they had a rating of 5.4%

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• Food Environment Atlas

• https://www.ers.usda.gov/data-products/food-environment-atlas/

• U.S. Department of Agriculture (USDA), Economic Research Service (ERS)

• This dataset looks at the number of fast food restaurants in 2011 versus 2016 in different counties in the country.

• The availability of fast food, or type of food in general in an area is a big contributor to SDoH. If the only food around you is unhealthy. it makes it very hard to change your eating habits to something more nutritious.

• In 2011, the number of fast food restaurants in Richmond, VA was 179. There was a 5.02% increase from 2011-2016, where there were 188.
  

Opioid Overdose Death Rates and All Drug Overdose Death Rates per 100,000 Population (Age-Adjusted)

-Link to datasets

https://www.kff.org/other/state-indicator/opioid-overdose-death-rates/?currentTimeframe=0&sortModel=%7B%22colId%22:%22Location%22,%22sort%22:%22asc%22%7D

-Organizations that created/monitor data set

Kaiser Family Foundation

-Description of what they are looking at

They are looking at the opioid overdose death rate & all drug overdose death rates among all the states

-How does this represent a social determinant of health?

Showed significant regional differences by comparing  the opioid overdose death rate & all drug overdose death rates among all the states per 100,000 Population in the U.S., 

-One interesting data you’ve noticed from each dataset

The state that has the highest opioid & all drug overdose death rate is West Virginia.

• Data: https://www.ers.usda.gov/data-products/atlas-of-rural-and-small-town-america/

Economic Research Service and U.S Department of Agriculture

They are looking at socioeconomic factors such as People, jobs, county classifications, income, and veterans in rural areas and small towns in America.

Social, economic factors affect health outcomes for this populations.

One interesting piece of data that the article contains is that the US maps showing the rural places, it shows the unemployment/employment estimates in the rural areas.

Name of dataset: Incidence Rate Report for Breast Cancer in Asian American/Pacific Islander Women <50 years

Link: State Cancer Profiles > Incidence Rates Table

Organization: National Cancer Institute

Description: In Fairfax County, there is an average annual count of 32; The recent trend has been stable, but has been projected to be decreasing in recent 5 year trends.

Social Determinant: Fairfax county is one of the well-funded urban counties, which is why the prevalence is low.

One interesting fact we found is that Fairfax County has one of the lowest rates of breast cancer in the United States.

Link: https://www.feedingamerica.org/research/map-the-meal-gap/how-we-got-the-map-data?s_src=WXXX1MTMG&_ga=2.104619904.1850497459.1590978449-310630678.1590978449

Organization: Feeding America

Description: This data helps generate estimates for local food insecurities for target groups, local federal program eligibility among those experiencing food insecurity, as well as food spending and budget shortfalls.

Representation of SDoH: It represents because the data focuses on a condition that affects a wide range of outcomes and risk. For example, food insecurity can lead to malnutrition, decrease in quality of life, among many other factors in target groups.

Interesting data: Food tax rates by state for grocery stores broken into those that levy and those that don't

• Alaa

• Nallely

Names of Datasets:

• Food Environment Atlas

Link to Datasets:

• https://www.ers.usda.gov/data-products/food-environment-atlas/data-access-and-documentation-downloads/

Organization that monitor data set:

• U.S. Department of Agriculture (USDA)

Description of what they are looking at:

• They oversee multiple sectors related to foods such as store/restaurants proximity, cost of food, monitor food assistance programs such as SNAP.

• Observe food choices and diet quality based on environment.

How this represents Social Determinants of health:

• Diet and Nutrition effect your physical health greatly and your neighborhood effects your choices. For example living in food deserts will effect your health negatively because you do not have a variety of choices that are affordable, nutritious, or cultural foods.

Interesting data:

• The data on supplemental programs by state was very interesting. The states that had the most people enrolled in these programs were the states with the greatest populations and it did not matter whether the state is typically a red or blue state.