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1.0
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https://www.arcgis.com/sharing/rest/content/items/c76e62d69689473ca8ad65897947e2a9/info/thumbnail/thumbnail1769710153441.png
FoodEnvironmentV3
Projected
GCS_North_American_1983_HARN
Linear Unit: Foot_US (0.304801)
NAD_1983_HARN_StatePlane_Washington_South_FIPS_4602_Feet
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<p><span style='color:#000000;'>This data is included as part of the Environmental Health Disparities Version 3.0 map. To see this map, visit </span><a target='_blank' href='https://doh.wa.gov/data-and-statistical-reports/washington-tracking-network-wtn/washington-environmental-health-disparities-map' rel='nofollow ugc noopener noreferrer'><span style='color:#000000;'>our webpage</span></a><span style='color:#000000;'>. For more technical information on this map and the model used, visit our </span><a target='_blank' href='https://doh.wa.gov/sites/default/files/2026-04/EHDMapReport.pdf' rel='nofollow ugc noopener noreferrer'>Environmental Health Disparities Map Report Version 3.0</a>.</p><p><span style='color:#000000;'><strong>Background </strong></span></p><p><span style='color:#000000;'>Unequal nutritional access causes a significant public health issue in the United States. Not all communities have the same access to nutritious food options. Systemic inequities and historical injustices shape access to nutritious food. Many communities have trouble getting fresh, nutritious food. Stores in neighborhoods with less economic access may not sell as many nutrient-dense food options as stores in wealthier areas. These areas are sometimes called ‘food deserts’ or ‘food swamps.’ </span></p><p><span style='color:#000000;'>In areas with fewer food options, people may eat fewer fruits and vegetables. Eating less nutrient-dense foods increases the risks of chronic conditions like type 2 diabetes, cancer, and heart disease. Communities that have been historically minoritized or have less economic access often have less access to foods that provide essential nutrients, especially produce. These same communities also face more environmental health burdens, like pollution, and have less access to health care. </span></p><p><span style='color:#000000;'>Community-driven food systems offer local solutions that improve access to fresh, diverse, and affordable foods while empowering communities to shape their own food environments. Culturally relevant farmers’ markets are an example. </span></p><p><span style='color:#000000;'><strong>Evidence </strong></span></p><p><span style='color:#000000;'>Many people with less economic access and historically marginalized neighborhoods do not have grocery stores selling nutrient-dense options [1]. Neighborhoods with more obesity and less economic access often lack retailers selling nutritious food [2]. Food deserts or food swamps force people without transportation to rely on smaller stores with higher prices and fewer options. This increases the risk of food insecurity [3]. Community members often have to rely on convenience stores, fast food outlets, and other retailers with fewer healthy options. This can result in diets that exceed the USDA Guidelines for saturated fat, added sugars, and added sodium [4]. These kinds of diet can increase the risk of type 2 diabetes and heart disease [5, 6]. </span></p><p><span style='color:#000000;'>Communities with fewer financial resources have limited access to diverse food options. Stores in these areas offer fewer nutrient-dense choices like fruits, vegetables, and low-fat items [7]. People living near healthy food retailers eat more fruits and vegetables [8, 9]. The lack of diverse food options results from inequities in urban planning [10]. This highlights the need for policies that improve access to supermarkets and nutritious foods in underserved areas [7]. </span></p><p><span style='color:#000000;'>Communities with limited access to nutrient-dense food often also face environmental stressors, like air pollution. This further increases health risks. Exposure to these environmental hazards is linked to higher death rates. Socioeconomic and racial factors play a significant role in how severely these risks affect people [11]. </span></p><p><span style='color:#000000;'>Limited access to culturally relevant foods, combined with environmental stress, worsens health disparities. It also increases the risk of chronic conditions. Eating more whole food, plant-based foods can help reduce the health impacts of pollution [12]. </span></p><p><span style='color:#000000;'><strong>Data source </strong></span></p><p><a target='_blank' href='https://doc.arcgis.com/en/esri-demographics/latest/reference/data-axle.htm' rel='nofollow ugc noopener noreferrer'><span style='color:#000000;'>Food Outlet Location</span></a><span style='color:#000000;'>: Washington state healthy and non-healthy food outlets from the 2023 Data Axle via ESRI’s ArcMap v10.8 Business Analyst </span></p><p><span style='color:#000000;'>Census Data: </span><a target='_blank' href='https://data.census.gov/' rel='nofollow ugc noopener noreferrer'><span style='color:#000000;'>2020 Decennial Census</span></a><span style='color:#000000;'>; </span><a target='_blank' href='https://www.census.gov/cgi-bin/geo/shapefiles/index.php' rel='nofollow ugc noopener noreferrer'><span style='color:#000000;'>2020 Census Geographies</span></a><span style='color:#000000;'> </span></p><p><span style='color:#000000;'><strong>Methods </strong> </span></p><p><span style='color:#000000;'>The CDC’s Modified Retail Food Environment Index (mRFEI) was used to measure food access in each census tract. The mRFEI calculates the ratio between healthy and less-healthy food retailers. The higher the mRFEI score, the more healthy food stores there are in an area. Healthy and less-healthy food retailers are defined by the typical foods they offer. Healthy foods include a variety of fruits, vegetables, lean meat products, and whole grains [13]. The data were cleaned to reflect current classification codes and ensure food retailers were accurately categorized. </span></p><p><span style='color:#000000;'>This measure accounts for the number of healthy and less-healthy food stores within one mile of the population-weighted centroid of each census block group. Distance was based on the shortest road path, not a radius. We then combined census block groups into census tracts. The score for each census tract is the number of healthy food stores divided by the total number of food stores. Zero percent means a food desert (no food access). A low percentage indicates a food swamp (not enough healthy food access). A high percentage means a food oasis (enough access to healthy food). </span></p><p><span style='color:#000000;'>Modified Retail Food Environment Index: </span><a target='_blank' href='https://stacks.cdc.gov/view/cdc/61367' rel='nofollow ugc noopener noreferrer'><span style='color:#000000;'>https://stacks.cdc.gov/view/cdc/61367</span></a><span style='color:#000000;'> </span></p><p><span style='color:#000000;'><strong>Caveats </strong></span></p><p><span style='color:#000000;'>This method assumes that food access is uniformly distributed within a census tract. It does not include other factors that can affect access. These include cost, actual availability of food options, shopper experience, availability of transportation, and individual mobility. </span></p><p><span style='color:#000000;'>Using a 1-mile distance to define food access may not reflect the real-world accessibility for everyone. This may be particularly true in areas with poor transportation infrastructure. People may also have different access based on factors like age, disability, or income. </span></p><p><span style='color:#000000;'>This measure categorizes food outlets strictly as "healthy" or "less healthy." This oversimplifies the food choices available in different outlets. Additionally, communities may have their own definition of “healthy.” </span></p><p><span style='color:#000000;'>This measure uses the North American Industry Classification System (NAICS) codes to classify food outlets throughout the state. In some cases, businesses may be misclassified, misrepresenting the actual community food environment. Additionally, culturally specific food outlets are not included in this calculation. These outlets may be a primary source of food access for some communities. </span></p><p><span style='color:#000000;'>This measure represents the entire census tract, not individual areas within it. These data should always be supplemented with local data and equitable engagement for more accurate insights. </span></p><p><span style='color:#000000;'><strong>Sources </strong></span></p><ol><li><span style='color:#000000;'>Hallum, S. H., Hughey, S. M., Wende, M. E., Stowe, E. W., & Kaczynski, A. T. (2020). Healthy and unhealthy food environments are linked with neighbourhood socio-economic disadvantage: an innovative geospatial approach to understanding food access inequities. Public Health Nutrition, 23(17), 3190. </span></li><li><span style='color:#000000;'>Powell, L. M., Slater, S., Mirtcheva, D., Bao, Y., & Chaloupka, F. J. (2006). Food store availability and neighborhood characteristics in the United States. Preventative Medicine, 44, 189–195. </span></li><li><span style='color:#000000;'>Ver Ploeg, M. (2010). Access to affordable, nutritious food is limited in food deserts. U.S. Department of Agriculture, Economic Research Service. </span><a target='_blank' href='https://www.ers.usda.gov/amber-waves/2010/march/access-to-affordable-nutritious-food-is-limited-in-food-deserts' rel='nofollow ugc noopener noreferrer'><span style='color:#000000;'>https://www.ers.usda.gov/amber-waves/2010/march/access-to-affordable-nutritious-food-is-limited-in-food-deserts</span></a><span style='color:#000000;'> </span></li><li><span style='color:#000000;'>U.S. Department of Agriculture and U.S. Department of Health and Human Services. (2020). Dietary Guidelines for Americans, 2020-2025. 9. </span></li><li><span style='color:#000000;'>Lee, J. H., Duster, M., Roberts, T., & Devinsky, O. (2022). United States Dietary Trends Since 1800: Lack of Association Between Saturated Fatty Acid Consumption and Non-communicable Diseases. Frontiers in Nutrition, 8. </span></li><li><span style='color:#000000;'>Mozaffarian, D. (2016). Dietary and Policy Priorities for Cardiovascular Disease, Diabetes, and Obesity. In Circulation (Vol. 133, Issue 2, pp. 187–225). Lippincott Williams and Wilkins. </span></li><li><span style='color:#000000;'>Yale News. (2008). Healthy foods scarce in poor neighborhoods, Yale researchers find. Yale News. </span><a target='_blank' href='https://news.yale.edu/2008/09/10/healthy-foods-scarce-poor-neighborhoods-yale-researchers-find' rel='nofollow ugc noopener noreferrer'><span style='color:#000000;'>https://news.yale.edu/2008/09/10/healthy-foods-scarce-poor-neighborhoods-yale-researchers-find</span></a><span style='color:#000000;'> </span></li><li><span style='color:#000000;'>Fiechtner, L., Kleinman, K., Melly, S. J., Sharifi, M., Marshall, R., Block, J., Cheng, E. R., & Taveras, E. M. (2016). Effects of proximity to supermarkets on a randomized trial studying interventions for obesity. American Journal of Public Health, 106(3), 557–562. </span></li><li><span style='color:#000000;'>Laraia, B. A., Siega-Riz, A. M., Kaufman, J. S., & Jones, S. J. (2004). Proximity of supermarkets is positively associated with diet quality index for pregnancy. Preventive Medicine, 39(5), 869–875. </span></li><li><span style='color:#000000;'>Horowitz, C. R., Colson, K. A., Hebert, P. L., & Lancaster, K. (2004). Barriers to Buying Healthy Foods for People With Diabetes: Evidence of Environmental Disparities. American Journal of Public Health, 94(9). </span></li><li><span style='color:#000000;'>Bowe, B., Xie, Y., Yan, Y. Y., & Al-Aly, Z. (2019). Burden of Cause-Specific Mortality Associated with PM2.5 Air Pollution in the United States. JAMA Network Open, 2(11). </span></li><li><span style='color:#000000;'>Lim, C. C., Hayes, R. B., Ahn, J., Shao, Y., Silverman, D. T., Jones, R. R., & Thurston, G. D. (2019). Mediterranean Diet and the Association between Air Pollution and Cardiovascular Disease Mortality Risk. Circulation, 139(15), 1766–1775. </span></li><li><span style='color:#000000;'>CDC. (2011a). Census Tract Level State Maps of the Modified Retail Food Environment Index (mRFEI). </span><a target='_blank' href='https://www.cdc.gov/obesity/downloads/2_16_mrfei_data_table.xls' rel='nofollow ugc noopener noreferrer'><span style='color:#000000;'>https://www.cdc.gov/obesity/downloads/2_16_mrfei_data_table.xls</span></a><span style='color:#000000;'>. </span></li></ol><p><span style='color:#000000;'><strong>Citation</strong></span></p><p><span style='color:#000000;'>Washington Tracking Network, Washington State Department of Health. Web. "Community Retail Food Environment". Data obtained from the Data Axle via ESRI’s ArcMap v10.8 Business Analyst, 2023 healthy and non-healthy food outlets data. Published Septemeber 2025.</span></p><p> </p>
Community Retail Food Environment
2025-09-30T00:00:00
Tumwater
WA
98501
WADOH
-124.793
-116.846
49.036
45.527
Community Retail Food EnvironmentEHD Map Version 32020 Census TractWTNWashington Tracking Network
2020 Census Tract
EHD Map Version 3
This layer, also referred to as a measure on the Environmental Health Disparities (EHD) Map, evaluates access to nutritious food within each census tract by comparing the number of stores that offer fresh, nutrient-dense options to those that primarily sell processed or fast food. Each census tract is assigned a rank from 1 to 10 that indicates how the tract compares with other tracts, where 1 is the least impacted and 10 is the most impacted. The community retail food environment affects access to diverse and affordable food, which impacts overall health. Rural communities and communities with less economic access are less likely to have access to grocery stores. This results in less diverse and affordable food options nearby. This layer was created to support the EHD Map and the Washington Tracking Network (WTN).
This layer was created using data from Washington State University.
<p>Neither the Washington State Department of Health (WADOH), nor any agency, officer, or employee of the WADOH warrants the accuracy, reliability or timeliness of any information published by this system, nor endorses any content, viewpoints, products, or services linked from this system, and shall not be held liable for any losses caused by reliance on the accuracy, reliability, or timeliness of such information. Portions of such information may be incorrect or not current. Any person or entity who relies on any information obtained from this system does so at their own risk.</p>
Esri ArcGIS 13.3.0.52636
dataset
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
20250701
Tumwater
WA
98501
WADOH
Feature Layer
EPSG
6.3(9.0.0)
Community Retail Food Environment
Feature Class
0
OBJECTID
OBJECTID
OID
4
0
0
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
Shape
Shape
Geometry
0
0
0
Feature geometry.
Esri
Coordinates defining the features.
Year
Data Year
String
254
0
0
Data year
CensusTract2020
Census Tract 2020
String
254
0
0
11 digit 2020 census tract identifier
CommunityRetailFoodEnviron
Community Retail Food Environment
Double
8
0
0
% of stores offering fresh, nutrient-dense foods to those primarily selling processed or fast food
Food_Environment_Rank
Community Retail Food Environment Rank
Double
8
0
0
Decile ranking for community retail food environment
Shape_Length
Shape_Length
Double
8
0
0
Length of feature in internal units.
Esri
Positive real numbers that are automatically generated.
Shape_Area
Shape_Area
Double
8
0
0
Area of feature in internal units squared.
Esri
Positive real numbers that are automatically generated.
0
Simple
FALSE
0
TRUE
FALSE