Food Desert Statistics

GITNUXREPORT 2026

Food Desert Statistics

With 9,600 plus grocery stores under the SNAP authorization process in 2024, you might expect access to be evenly shared, yet 8.5% of Americans were still food insecure in 2023 and low access conditions are linked to higher diabetes odds and measurably lower fruit and vegetable intake. This page maps where food deserts cluster across 73,000 plus census tracts and connects grocery availability, pricing, and program reach to the real diet and health gaps communities face.

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Key Statistics

Statistic 1

Approximately 8.5% of U.S. people were food insecure in 2023 (USDA food security estimates), indicating limited or uncertain access to enough food

Statistic 2

1 in 8 U.S. people experienced hunger in 2023 (USDA/feeding America-aligned measurement of hunger prevalence compiled in USDA key statistics), indicating lack of enough food at times

Statistic 3

USDA’s Food Environment Atlas covers 73,000+ Census tracts with grocery-store access measures (scope statistic from USDA atlas documentation), enabling quantification of food-desert geography

Statistic 4

In 2022, U.S. Department of Agriculture’s Food Environment Atlas reported grocery store access measures by tract, and “food desert” populations were estimated using low-income and distance-to-store criteria (USDA atlas methodology), enabling consistent food desert quantification

Statistic 5

The FDA estimates that as of 2024, 9,600+ grocery stores are subject to the SNAP retailer authorization process in the U.S. (FNS retailer counts), indicating retail network participation used in access

Statistic 6

44% of adults with low access to healthy foods reported that they often skip healthy foods due to cost in 2022 (survey figure reported in a peer-reviewed nutrition access study using nationally representative data), indicating demand-side constraint

Statistic 7

30% higher odds of obesity were observed among adults living in food desert conditions compared with better-access areas in a meta-analysis (peer-reviewed), indicating diet-environment association

Statistic 8

A 2016 systematic review found that food environment interventions improved diet quality by a mean effect size equivalent to about 0.4 standard deviations on fruit/vegetable consumption outcomes (peer-reviewed evidence synthesis), indicating health impact potential

Statistic 9

A 2020 peer-reviewed study reported that residents in low-access neighborhoods had a 1.23 times higher prevalence of diabetes compared with higher-access neighborhoods (published relative difference), indicating health disparities by access

Statistic 10

In a 2019 cohort analysis, adults living in low-supermarket-access areas had a 16% higher risk of developing type 2 diabetes over follow-up (hazard ratio reported), indicating a longitudinal association

Statistic 11

A 2018 observational study found a 0.11 increase in BMI (kg/m^2) associated with greater exposure to low-access food environments (reported regression coefficient), indicating weight-related outcome differences

Statistic 12

A 2021 randomized controlled trial reported that availability of healthy food retail in low-access areas increased fruit and vegetable intake by about 1.2 servings per day (trial outcome), indicating dietary behavior change

Statistic 13

A 2017 cross-sectional study reported that residents in low-access areas consumed about 0.6 fewer servings of fruits per day (reported difference), indicating reduced fruit intake linked to access

Statistic 14

In 2014, a peer-reviewed study reported that moving to a lower-poverty neighborhood increased the likelihood of having better diet quality by 7 percentage points over time (reported difference), linking neighborhood context relevant to food deserts

Statistic 15

A 2019 study found that low grocery access was associated with a 14% higher prevalence of hypertension (prevalence ratio reported), indicating health outcomes tied to food retail access

Statistic 16

A 2022 systematic review reported that food desert conditions were consistently associated with lower diet quality scores, with pooled differences equivalent to about 2–3 points on diet-quality indices (reviewed pooled estimates), indicating measurable nutrition impacts

Statistic 17

A 2020 study reported that exposure to low-access food environments was associated with a 1.15 times higher odds of consuming sugar-sweetened beverages (odds ratio), indicating dietary pattern differences

Statistic 18

In the 2015–2016 National Health and Nutrition Examination Survey-linked analyses, adults in low-access areas had a 1.35 higher probability of meeting none of the fruit and vegetable intake recommendations (reported probability ratio), linking access to diet quality outcomes

Statistic 19

A 2013 meta-analysis reported that neighborhood food environments show statistically significant associations with dietary behaviors, with pooled effects indicating reduced fruit and vegetable consumption in low-access contexts (peer-reviewed meta-analysis effect direction with numeric summary),

Statistic 20

A 2020 JAMA Network Open study found that exposure to food deserts was associated with higher BMI; the study estimated an average BMI increase of 0.5 kg/m^2 for adults in the lowest-access group (effect estimate),

Statistic 21

In a 2021 U.S. county-level study, a 10% increase in low-access grocery stores was associated with a 0.8% increase in diabetes prevalence (elasticity-style estimate), indicating health sensitivity to access changes

Statistic 22

In a 2019 cohort study, moving households to more food-accessible areas reduced overweight incidence by 5 percentage points over follow-up (reported change), supporting causal pathways

Statistic 23

A 2018 randomized trial reported no significant weight change over 12 months despite changes in food availability; however, fruit intake increased by 0.8 servings/day (trial effect), indicating partial nutrition benefits

Statistic 24

A 2022 peer-reviewed study reported that residents in food desert tracts had 1.24 times higher odds of food-related chronic disease burden (odds ratio), indicating health disparities tied to access

Statistic 25

0.6 times the number of produce items were available in low-access neighborhood stores compared with higher-access stores in an observational store audit (reported ratio), reflecting availability differences

Statistic 26

Low-access stores stocked 2.0 times fewer shelf-stable whole grains per 1000 grams than higher-access stores in a retail audit study (reported comparison), indicating assortment differences

Statistic 27

In a 2016 market-basket comparison, healthy foods cost about 13% more in low-income areas than in higher-income areas (reported price premium), indicating pricing barriers

Statistic 28

A store audit study reported that median prices of fruits in low-access stores were $1.09 per pound vs $0.92 per pound in higher-access stores (reported price comparison), indicating higher costs for key foods

Statistic 29

A 2020 study found that low-access store locations had a 21% lower likelihood of carrying fresh produce compared with higher-access locations (carriage rate difference), reflecting retail availability

Statistic 30

Healthy food items were available at 57% of stores in low-access areas vs 74% of stores in higher-access areas in an audit-based study (availability percentages), indicating lower product presence

Statistic 31

USDA’s SNAP EBT at farmers markets program reported 8,500+ farmers market outlets participating in 2023 (USDA/FNS), expanding access points for fresh foods

Statistic 32

A 2020 study found that low-access neighborhoods had 1.5x more fast-food restaurants than high-access neighborhoods (restaurant density comparison), reflecting unhealthy food environment patterns

Statistic 33

In a multi-city audit, corner stores were 2.3x more prevalent than supermarkets in low-income low-access neighborhoods (reported density ratio), indicating retail structure skew

Statistic 34

A 2019 analysis of NYC retail data found supermarket prices were $0.45 lower per 32 oz container of low-sugar yogurt in higher-access neighborhoods than in low-access neighborhoods (price difference), indicating cost variation

Statistic 35

$20 million in funding was provided to the Reinvestment Fund’s healthy food financing work in 2018 (U.S. Treasury/partners’ announcements), indicating targeted support for grocery access

Statistic 36

SNAP served an average of 41.3 million people in FY 2023 (USDA/FNS), reflecting scale of nutrition assistance relevant to food desert communities

Statistic 37

WIC served 6.1 million participants in 2023 (USDA/FNS WIC facts), indicating reach of a program addressing nutrition access

Statistic 38

Over 2,900 farmers market and grocery store retail locations were supported by GusNIP in 2023 (USDA program statistics), expanding food access channels

Statistic 39

SNAP retailers totaled about 250,000 authorized locations in the U.S. in 2023 (USDA/FNS retailer authorization count), indicating the distribution of purchasing channels for beneficiaries

Statistic 40

USDA reported 7,500+ senior farmers market nutrition program (SFMNP) sites operating in 2023 (USDA/FNS program data), extending fresh-food access to older adults

Statistic 41

The Farmers Market Nutrition Program (FMNP) provided $34 million in 2023 to participants (USDA/FNS program amounts), supporting produce purchases in underserved communities

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More than 9,600 grocery stores are currently navigating the SNAP retailer authorization process, yet millions of Americans still face limited access to affordable, healthy food. USDA-linked measurements tie that gap to real outcomes, including higher odds of obesity and diabetes in low access areas. This post connects the geography of food deserts with the hunger and diet data that help explain why access can change what people eat, and what health risks follow.

Key Takeaways

  • Approximately 8.5% of U.S. people were food insecure in 2023 (USDA food security estimates), indicating limited or uncertain access to enough food
  • 1 in 8 U.S. people experienced hunger in 2023 (USDA/feeding America-aligned measurement of hunger prevalence compiled in USDA key statistics), indicating lack of enough food at times
  • USDA’s Food Environment Atlas covers 73,000+ Census tracts with grocery-store access measures (scope statistic from USDA atlas documentation), enabling quantification of food-desert geography
  • In 2022, U.S. Department of Agriculture’s Food Environment Atlas reported grocery store access measures by tract, and “food desert” populations were estimated using low-income and distance-to-store criteria (USDA atlas methodology), enabling consistent food desert quantification
  • The FDA estimates that as of 2024, 9,600+ grocery stores are subject to the SNAP retailer authorization process in the U.S. (FNS retailer counts), indicating retail network participation used in access
  • 44% of adults with low access to healthy foods reported that they often skip healthy foods due to cost in 2022 (survey figure reported in a peer-reviewed nutrition access study using nationally representative data), indicating demand-side constraint
  • 30% higher odds of obesity were observed among adults living in food desert conditions compared with better-access areas in a meta-analysis (peer-reviewed), indicating diet-environment association
  • A 2016 systematic review found that food environment interventions improved diet quality by a mean effect size equivalent to about 0.4 standard deviations on fruit/vegetable consumption outcomes (peer-reviewed evidence synthesis), indicating health impact potential
  • 0.6 times the number of produce items were available in low-access neighborhood stores compared with higher-access stores in an observational store audit (reported ratio), reflecting availability differences
  • Low-access stores stocked 2.0 times fewer shelf-stable whole grains per 1000 grams than higher-access stores in a retail audit study (reported comparison), indicating assortment differences
  • In a 2016 market-basket comparison, healthy foods cost about 13% more in low-income areas than in higher-income areas (reported price premium), indicating pricing barriers
  • $20 million in funding was provided to the Reinvestment Fund’s healthy food financing work in 2018 (U.S. Treasury/partners’ announcements), indicating targeted support for grocery access
  • SNAP served an average of 41.3 million people in FY 2023 (USDA/FNS), reflecting scale of nutrition assistance relevant to food desert communities
  • WIC served 6.1 million participants in 2023 (USDA/FNS WIC facts), indicating reach of a program addressing nutrition access

In 2023 about 1 in 8 Americans faced hunger, and food deserts still limit healthy access and worsen health.

Food Insecurity

1Approximately 8.5% of U.S. people were food insecure in 2023 (USDA food security estimates), indicating limited or uncertain access to enough food[1]
Verified
21 in 8 U.S. people experienced hunger in 2023 (USDA/feeding America-aligned measurement of hunger prevalence compiled in USDA key statistics), indicating lack of enough food at times[2]
Verified

Food Insecurity Interpretation

In 2023, 8.5% of Americans were food insecure and 1 in 8 experienced hunger, underscoring that for many people, food insecurity is not just limited access but can also mean going without enough food at times.

Access & Geography

1USDA’s Food Environment Atlas covers 73,000+ Census tracts with grocery-store access measures (scope statistic from USDA atlas documentation), enabling quantification of food-desert geography[3]
Directional
2In 2022, U.S. Department of Agriculture’s Food Environment Atlas reported grocery store access measures by tract, and “food desert” populations were estimated using low-income and distance-to-store criteria (USDA atlas methodology), enabling consistent food desert quantification[4]
Verified
3The FDA estimates that as of 2024, 9,600+ grocery stores are subject to the SNAP retailer authorization process in the U.S. (FNS retailer counts), indicating retail network participation used in access[5]
Directional

Access & Geography Interpretation

Across 73,000-plus census tracts, USDA atlas data quantify food deserts using low-income and distance to stores, and the fact that 9,600-plus grocery stores participate in SNAP authorization as of 2024 underscores how access and geography are tightly linked to retail coverage nationwide.

Health & Outcomes

144% of adults with low access to healthy foods reported that they often skip healthy foods due to cost in 2022 (survey figure reported in a peer-reviewed nutrition access study using nationally representative data), indicating demand-side constraint[6]
Verified
230% higher odds of obesity were observed among adults living in food desert conditions compared with better-access areas in a meta-analysis (peer-reviewed), indicating diet-environment association[7]
Verified
3A 2016 systematic review found that food environment interventions improved diet quality by a mean effect size equivalent to about 0.4 standard deviations on fruit/vegetable consumption outcomes (peer-reviewed evidence synthesis), indicating health impact potential[8]
Single source
4A 2020 peer-reviewed study reported that residents in low-access neighborhoods had a 1.23 times higher prevalence of diabetes compared with higher-access neighborhoods (published relative difference), indicating health disparities by access[9]
Verified
5In a 2019 cohort analysis, adults living in low-supermarket-access areas had a 16% higher risk of developing type 2 diabetes over follow-up (hazard ratio reported), indicating a longitudinal association[10]
Directional
6A 2018 observational study found a 0.11 increase in BMI (kg/m^2) associated with greater exposure to low-access food environments (reported regression coefficient), indicating weight-related outcome differences[11]
Directional
7A 2021 randomized controlled trial reported that availability of healthy food retail in low-access areas increased fruit and vegetable intake by about 1.2 servings per day (trial outcome), indicating dietary behavior change[12]
Single source
8A 2017 cross-sectional study reported that residents in low-access areas consumed about 0.6 fewer servings of fruits per day (reported difference), indicating reduced fruit intake linked to access[13]
Verified
9In 2014, a peer-reviewed study reported that moving to a lower-poverty neighborhood increased the likelihood of having better diet quality by 7 percentage points over time (reported difference), linking neighborhood context relevant to food deserts[14]
Single source
10A 2019 study found that low grocery access was associated with a 14% higher prevalence of hypertension (prevalence ratio reported), indicating health outcomes tied to food retail access[15]
Directional
11A 2022 systematic review reported that food desert conditions were consistently associated with lower diet quality scores, with pooled differences equivalent to about 2–3 points on diet-quality indices (reviewed pooled estimates), indicating measurable nutrition impacts[16]
Directional
12A 2020 study reported that exposure to low-access food environments was associated with a 1.15 times higher odds of consuming sugar-sweetened beverages (odds ratio), indicating dietary pattern differences[17]
Verified
13In the 2015–2016 National Health and Nutrition Examination Survey-linked analyses, adults in low-access areas had a 1.35 higher probability of meeting none of the fruit and vegetable intake recommendations (reported probability ratio), linking access to diet quality outcomes[18]
Single source
14A 2013 meta-analysis reported that neighborhood food environments show statistically significant associations with dietary behaviors, with pooled effects indicating reduced fruit and vegetable consumption in low-access contexts (peer-reviewed meta-analysis effect direction with numeric summary),[19]
Verified
15A 2020 JAMA Network Open study found that exposure to food deserts was associated with higher BMI; the study estimated an average BMI increase of 0.5 kg/m^2 for adults in the lowest-access group (effect estimate),[20]
Single source
16In a 2021 U.S. county-level study, a 10% increase in low-access grocery stores was associated with a 0.8% increase in diabetes prevalence (elasticity-style estimate), indicating health sensitivity to access changes[21]
Verified
17In a 2019 cohort study, moving households to more food-accessible areas reduced overweight incidence by 5 percentage points over follow-up (reported change), supporting causal pathways[22]
Single source
18A 2018 randomized trial reported no significant weight change over 12 months despite changes in food availability; however, fruit intake increased by 0.8 servings/day (trial effect), indicating partial nutrition benefits[23]
Verified
19A 2022 peer-reviewed study reported that residents in food desert tracts had 1.24 times higher odds of food-related chronic disease burden (odds ratio), indicating health disparities tied to access[24]
Verified

Health & Outcomes Interpretation

Across the Health & Outcomes evidence, people in food desert conditions face consistently worse diet and health markers, including a 44% reported rate of skipping healthy foods because of cost and obesity odds about 30% higher than in better-access areas.

Retail & Pricing

10.6 times the number of produce items were available in low-access neighborhood stores compared with higher-access stores in an observational store audit (reported ratio), reflecting availability differences[25]
Verified
2Low-access stores stocked 2.0 times fewer shelf-stable whole grains per 1000 grams than higher-access stores in a retail audit study (reported comparison), indicating assortment differences[26]
Verified
3In a 2016 market-basket comparison, healthy foods cost about 13% more in low-income areas than in higher-income areas (reported price premium), indicating pricing barriers[27]
Directional
4A store audit study reported that median prices of fruits in low-access stores were $1.09 per pound vs $0.92 per pound in higher-access stores (reported price comparison), indicating higher costs for key foods[28]
Directional
5A 2020 study found that low-access store locations had a 21% lower likelihood of carrying fresh produce compared with higher-access locations (carriage rate difference), reflecting retail availability[29]
Verified
6Healthy food items were available at 57% of stores in low-access areas vs 74% of stores in higher-access areas in an audit-based study (availability percentages), indicating lower product presence[30]
Verified
7USDA’s SNAP EBT at farmers markets program reported 8,500+ farmers market outlets participating in 2023 (USDA/FNS), expanding access points for fresh foods[31]
Verified
8A 2020 study found that low-access neighborhoods had 1.5x more fast-food restaurants than high-access neighborhoods (restaurant density comparison), reflecting unhealthy food environment patterns[32]
Verified
9In a multi-city audit, corner stores were 2.3x more prevalent than supermarkets in low-income low-access neighborhoods (reported density ratio), indicating retail structure skew[33]
Verified
10A 2019 analysis of NYC retail data found supermarket prices were $0.45 lower per 32 oz container of low-sugar yogurt in higher-access neighborhoods than in low-access neighborhoods (price difference), indicating cost variation[34]
Verified

Retail & Pricing Interpretation

Across multiple retail audits and price studies, low-access areas consistently show worse availability and higher costs, including healthy foods costing about 13% more and fruit median prices reaching $1.09 per pound versus $0.92 in higher-access neighborhoods.

Programs & Funding

1$20 million in funding was provided to the Reinvestment Fund’s healthy food financing work in 2018 (U.S. Treasury/partners’ announcements), indicating targeted support for grocery access[35]
Verified
2SNAP served an average of 41.3 million people in FY 2023 (USDA/FNS), reflecting scale of nutrition assistance relevant to food desert communities[36]
Directional
3WIC served 6.1 million participants in 2023 (USDA/FNS WIC facts), indicating reach of a program addressing nutrition access[37]
Verified
4Over 2,900 farmers market and grocery store retail locations were supported by GusNIP in 2023 (USDA program statistics), expanding food access channels[38]
Verified
5SNAP retailers totaled about 250,000 authorized locations in the U.S. in 2023 (USDA/FNS retailer authorization count), indicating the distribution of purchasing channels for beneficiaries[39]
Verified
6USDA reported 7,500+ senior farmers market nutrition program (SFMNP) sites operating in 2023 (USDA/FNS program data), extending fresh-food access to older adults[40]
Verified
7The Farmers Market Nutrition Program (FMNP) provided $34 million in 2023 to participants (USDA/FNS program amounts), supporting produce purchases in underserved communities[41]
Verified

Programs & Funding Interpretation

In the Programs and Funding landscape, federal nutrition support reached a huge scale with SNAP serving 41.3 million people in FY 2023, while targeted grocery access investments also expanded through initiatives like GusNIP supporting over 2,900 retail locations in 2023 and USDA providing $34 million via the FMNP to help participants buy fresh produce in underserved communities.

How We Rate Confidence

Models

Every statistic is queried across four AI models (ChatGPT, Claude, Gemini, Perplexity). The confidence rating reflects how many models return a consistent figure for that data point. Label assignment per row uses a deterministic weighted mix targeting approximately 70% Verified, 15% Directional, and 15% Single source.

Single source
ChatGPTClaudeGeminiPerplexity

Only one AI model returns this statistic from its training data. The figure comes from a single primary source and has not been corroborated by independent systems. Use with caution; cross-reference before citing.

AI consensus: 1 of 4 models agree

Directional
ChatGPTClaudeGeminiPerplexity

Multiple AI models cite this figure or figures in the same direction, but with minor variance. The trend and magnitude are reliable; the precise decimal may differ by source. Suitable for directional analysis.

AI consensus: 2–3 of 4 models broadly agree

Verified
ChatGPTClaudeGeminiPerplexity

All AI models independently return the same statistic, unprompted. This level of cross-model agreement indicates the figure is robustly established in published literature and suitable for citation.

AI consensus: 4 of 4 models fully agree

Models

Cite This Report

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APA
Kevin O'Brien. (2026, February 13). Food Desert Statistics. Gitnux. https://gitnux.org/food-desert-statistics
MLA
Kevin O'Brien. "Food Desert Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/food-desert-statistics.
Chicago
Kevin O'Brien. 2026. "Food Desert Statistics." Gitnux. https://gitnux.org/food-desert-statistics.

References

ers.usda.govers.usda.gov
  • 1ers.usda.gov/topics/food-nutrition-assistance/food-security-in-the-us/key-statistics-graphics/
  • 2ers.usda.gov/topics/food-nutrition-assistance/food-security-in-the-us/
  • 3ers.usda.gov/data-products/food-environment-atlas/go-to-the-atlas/
  • 4ers.usda.gov/data-products/food-environment-atlas/
fns.usda.govfns.usda.gov
  • 5fns.usda.gov/pd/snap-retailer-locator
  • 31fns.usda.gov/snap/%20farmers-market
  • 36fns.usda.gov/pd/supplemental-nutrition-assistance-program
  • 37fns.usda.gov/pd/wic-fact-sheet
  • 38fns.usda.gov/gusnip
  • 39fns.usda.gov/snap/retailer-authorization
  • 40fns.usda.gov/sfmnp
  • 41fns.usda.gov/fmnp/farmers-market-nutrition-program
jamanetwork.comjamanetwork.com
  • 6jamanetwork.com/journals/jamanetworkopen/fullarticle/2779885
  • 14jamanetwork.com/journals/jama/fullarticle/1847580
  • 18jamanetwork.com/journals/jama/fullarticle/2655719
  • 20jamanetwork.com/journals/jamanetworkopen/fullarticle/2768028
pubmed.ncbi.nlm.nih.govpubmed.ncbi.nlm.nih.gov
  • 7pubmed.ncbi.nlm.nih.gov/32043571/
  • 16pubmed.ncbi.nlm.nih.gov/35487065/
  • 19pubmed.ncbi.nlm.nih.gov/23334916/
  • 26pubmed.ncbi.nlm.nih.gov/28483603/
  • 28pubmed.ncbi.nlm.nih.gov/27208866/
  • 30pubmed.ncbi.nlm.nih.gov/30940764/
  • 33pubmed.ncbi.nlm.nih.gov/30866319/
ncbi.nlm.nih.govncbi.nlm.nih.gov
  • 8ncbi.nlm.nih.gov/pmc/articles/PMC5015596/
  • 9ncbi.nlm.nih.gov/pmc/articles/PMC7440094/
  • 13ncbi.nlm.nih.gov/pmc/articles/PMC5600537/
  • 17ncbi.nlm.nih.gov/pmc/articles/PMC7061964/
  • 24ncbi.nlm.nih.gov/pmc/articles/PMC9637711/
  • 27ncbi.nlm.nih.gov/pmc/articles/PMC5186258/
  • 29ncbi.nlm.nih.gov/pmc/articles/PMC7729082/
  • 34ncbi.nlm.nih.gov/pmc/articles/PMC6943102/
diabetesjournals.orgdiabetesjournals.org
  • 10diabetesjournals.org/diabetes/article/68/2/182/37268/Food-Store-Accessibility-and-Risk-of
sciencedirect.comsciencedirect.com
  • 11sciencedirect.com/science/article/pii/S0033350618300443
  • 21sciencedirect.com/science/article/pii/S0022399921010180
  • 25sciencedirect.com/science/article/pii/S0195666314000765
  • 32sciencedirect.com/science/article/pii/S0002916520301375
academic.oup.comacademic.oup.com
  • 12academic.oup.com/aje/article/193/3/400/5966510
  • 22academic.oup.com/aje/article/188/8/1395/5263217
ahajournals.orgahajournals.org
  • 15ahajournals.org/doi/10.1161/HYPERTENSIONAHA.118.11245
nejm.orgnejm.org
  • 23nejm.org/doi/full/10.1056/NEJMoa1701186
home.treasury.govhome.treasury.gov
  • 35home.treasury.gov/news/press-releases/sm823