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<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="1.3" xml:lang="en" article-type="research-article"><?properties manuscript?><processing-meta base-tagset="archiving" mathml-version="3.0" table-model="xhtml" tagset-family="jats"><restricted-by>pmc</restricted-by></processing-meta><front><journal-meta><journal-id journal-id-type="nlm-journal-id">9014759</journal-id><journal-id journal-id-type="pubmed-jr-id">21498</journal-id><journal-id journal-id-type="nlm-ta">Int J Drug Policy</journal-id><journal-id journal-id-type="iso-abbrev">Int J Drug Policy</journal-id><journal-title-group><journal-title>The International journal on drug policy</journal-title></journal-title-group><issn pub-type="ppub">0955-3959</issn><issn pub-type="epub">1873-4758</issn></journal-meta><article-meta><article-id pub-id-type="pmid">39096805</article-id><article-id pub-id-type="pmc">11392602</article-id><article-id pub-id-type="doi">10.1016/j.drugpo.2024.104542</article-id><article-id pub-id-type="manuscript">NIHMS2014736</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title-group><article-title>Racial, ethnic, and neighborhood socioeconomic disparities in local cannabis retail policy in California</article-title></title-group><contrib-group><contrib contrib-type="author"><name><surname>Simard</surname><given-names>Bethany J</given-names></name><degrees>MPH</degrees><xref rid="A1" ref-type="aff">1</xref><xref rid="CR1" ref-type="corresp">*</xref></contrib><contrib contrib-type="author"><name><surname>Padon</surname><given-names>Alisa A</given-names></name><degrees>PhD</degrees><xref rid="A1" ref-type="aff">1</xref></contrib><contrib contrib-type="author"><name><surname>Silver</surname><given-names>Lynn D</given-names></name><degrees>MD, MPH</degrees><xref rid="A1" ref-type="aff">1</xref></contrib><contrib contrib-type="author"><name><surname>Avalos</surname><given-names>Lyndsay A</given-names></name><degrees>PhD, MPH</degrees><xref rid="A2" ref-type="aff">2</xref></contrib><contrib contrib-type="author"><name><surname>Soroosh</surname><given-names>Aurash J</given-names></name><degrees>RD, MSPH</degrees><xref rid="A1" ref-type="aff">1</xref></contrib><contrib contrib-type="author"><name><surname>Young-Wolff</surname><given-names>Kelly C</given-names></name><degrees>PhD, MPH</degrees><xref rid="A2" ref-type="aff">2</xref></contrib></contrib-group><aff id="A1"><label>1</label>Public Health Institute, Oakland, CA</aff><aff id="A2"><label>2</label>Division of Research, Kaiser Permanente Northern California, Oakland, CA</aff><author-notes><corresp id="CR1"><label>*</label><bold>Corresponding author information:</bold> Bethany J Simard, MPH Research Scientist, Public Health Institute, <email>bsimard@phi.org</email>, 2000 Center St, Suite 308, Berkeley, CA 94704</corresp></author-notes><pub-date pub-type="nihms-submitted"><day>9</day><month>8</month><year>2024</year></pub-date><pub-date pub-type="ppub"><month>9</month><year>2024</year></pub-date><pub-date pub-type="epub"><day>03</day><month>8</month><year>2024</year></pub-date><pub-date pub-type="pmc-release"><day>01</day><month>9</month><year>2025</year></pub-date><volume>131</volume><fpage>104542</fpage><lpage>104542</lpage><abstract id="ABS1"><sec id="S1"><title>Background:</title><p id="P1">Policies governing legal cannabis commerce can vary widely within a U.S. state when local control exists. Disproportionate distribution of policies allowing retail sale, protecting public health, or promoting equity in licensing may contribute to differences in health and economic outcomes between sociodemographic subgroups. This cross-sectional study jointly examined racial, ethnic, and neighborhood socioeconomic characteristics of Californians subject to specific local cannabis policies to identify such disparities.</p></sec><sec id="S2"><title>Methods:</title><p id="P2">Local laws in effect January 1, 2020, governing retail cannabis sales (bans, expanding buffers from youth-serving sites, restricting advertising, promoting equity in licensing, and capping outlets) were determined for California&#x02019;s 539 jurisdictions. The number of Asian, Black, Latinx, and white residents in socioeconomic advantaged versus disadvantaged neighborhoods (Census block groups) was determined using 2015&#x02013;2019 American Community Survey data. We estimated proportions of the sociodemographic subpopulations covered by specific policies based on the block group&#x02019;s jurisdiction. To ascertain disparities in coverage proportions were compared across subgroups using Z-tests with the Bonferroni correction.</p></sec><sec id="S3"><title>Results:</title><p id="P3">Residents of socioeconomically advantaged neighborhoods were more likely to live in jurisdictions allowing retail cannabis commerce than those in disadvantaged neighborhoods (61.7% versus 54.8%). Black residents in advantaged neighborhoods were most likely to live where retailing was allowed (69%), and white residents in disadvantaged neighborhoods least likely (49%). Latinx and Black populations from disadvantaged neighborhoods were most likely to live in jurisdictions with stronger advertising restrictions (66%). Equity in licensing policy was more prevalent for Black residents living in advantaged neighborhoods (57%) than disadvantaged neighborhoods (49%).</p></sec><sec id="S4"><title>Conclusions:</title><p id="P4">Local cannabis policies potentially protecting public health and social equity are unequally distributed across race, ethnicity, and socioeconomic characteristics in California. Research examining whether differential policy exposure reduces, creates, or perpetuates cannabis-related health and socioeconomic disparities is needed.</p></sec></abstract><kwd-group><kwd>Intersectionality in Drug Policy Research</kwd><kwd>Cannabis Policy Disparities</kwd><kwd>Local Cannabis Regulations</kwd><kwd>Public Health and Cannabis Distribution</kwd></kwd-group></article-meta></front><body><sec id="S5"><title>Introduction</title><p id="P5">California&#x02019;s 2016 ballot Proposition 64 (<xref rid="R13" ref-type="bibr">California Proposition 64, Marijuana Legalization (2016), n.d.</xref>) legalized growing or possessing cannabis for recreational use by persons aged 21 and older. It established a framework for legal cannabis commerce, which commenced in January 2018. The state created a regulatory system for licensing and criteria for operations, but cities and counties retained local control (<xref rid="R13" ref-type="bibr">California Proposition 64, Marijuana Legalization (2016), n.d.</xref>). While some municipalities prohibit all commercial cannabis activities, many jurisdictions developed their own cannabis regulations, creating a patchwork of local policies with unclear distributional equity (<xref rid="R39" ref-type="bibr">A. Padon et al., 2022</xref>). Many provisions considered to be best practices in tobacco control remain largely absent from the regulatory landscape (<xref rid="R39" ref-type="bibr">A. Padon et al., 2022</xref>). Mitigating harms inflicted by the discriminatory practices of the War on Drugs, which disproportionately affect Black (<xref rid="R1" ref-type="bibr">Alexander, 2012</xref>; <xref rid="R2" ref-type="bibr">American Civil Liberties Union, 2020</xref>) and Latinx communities (<xref rid="R35" ref-type="bibr">Motivans, 2020</xref>; <xref rid="R56" ref-type="bibr">Taxy et al., 2015</xref>), has been a widely cited rationale for cannabis legalization (<xref rid="R17" ref-type="bibr">Earp et al., 2021</xref>; <xref rid="R33" ref-type="bibr">Miron &#x00026; Partin, 2021</xref>). While major progress has been made on reducing cannabis-related arrests and expunging criminal convictions, as of 2020, only 5% of California&#x02019;s 539 cities and counties had adopted licensing policies to advance social justice for affected communities by supporting their entry into the legal cannabis industry (<xref rid="R39" ref-type="bibr">A. Padon et al., 2022</xref>). Simultaneously, concern exists that concentrating cannabis retailers in economically disadvantaged or racially or ethnically marginalized communities could have harmful consequences, as has occurred with alcohol and tobacco retailers (<xref rid="R24" ref-type="bibr">Kong et al., 2019</xref>; <xref rid="R47" ref-type="bibr">Ribisl et al., 2017</xref>; <xref rid="R48" ref-type="bibr">Romley et al., 2007</xref>).</p><p id="P6">Differential distribution of local cannabis policies across demographic groups could mitigate, create or exacerbate social injustice and health disparities. Cannabis use, especially when frequent, has been associated with negative health outcomes (<xref rid="R36" ref-type="bibr">National Academies of Sciences, Engineering, and Medicine, 2017</xref>), and among Californians, any and frequent use rates have typically been highest among non-Latinx Black and white populations (<xref rid="R40" ref-type="bibr">Padwa et al., 2022</xref>). Low-income communities, already more vulnerable to health disparities (<xref rid="R45" ref-type="bibr">Phelan et al., 2010</xref>), may be at greater risk if their local laws have fewer public health protections. It remains unclear which cannabis policies will be associated with positive versus negative long-term health and social outcomes.</p><p id="P7">Diverse social identities are experienced simultaneously, necessitating an intersectional examination of differential policy exposure (<xref rid="R15" ref-type="bibr">Crenshaw, 1989</xref>; <xref rid="R25" ref-type="bibr">Krieger et al., 1993</xref>). This study jointly examines the proportion of California residents from different racial, ethnic, and socioeconomic subgroups living under laws allowing cannabis retail commerce, protecting public health, and facilitating licensing equity to identify possible disparities in this natural experiment of local cannabis law exposure.</p></sec><sec id="S6"><title>Methods</title><p id="P8">This cross-sectional study examined exposure by sociodemographics to local cannabis policies in place in California as of January 1, 2020. The Public Health Institute Institutional Review Board determined it was not human subjects research.</p><sec id="S7"><title>Measures</title><p id="P9">Policy data were derived from reviewing cannabis laws passed by January 1, 2020 in all 539 California cities and counties using methodology comprehensively described elsewhere (<xref rid="R39" ref-type="bibr">A. Padon et al., 2022</xref>). Briefly, information on local laws was collected from Fyllo&#x02019;s Regulatory Database (<xref rid="R18" ref-type="bibr">Fyllo<sup>&#x02122;</sup>, 2022</xref>), complemented by analyzing jurisdictions&#x02019; municipal codes (<xref rid="R8" ref-type="bibr">California | Municode Library, n.d.</xref>) and outreach to jurisdiction staff when necessary; county laws applied to unincorporated areas only. State-level 2020 policies were verified through California&#x02019;s cannabis portal (<xref rid="R10" ref-type="bibr">California Department of Cannabis Control, 2019</xref>). Data collection and analysis occurred January-September, 2020.</p><sec id="S8"><title>Retail Allowed</title><p id="P10">Local cannabis retail policy was characterized using 3 dichotomous variables: 1) any storefront sales allowed; 2) only delivery sales allowed, regardless of whether the delivery retailer&#x02019;s premises could be located inside the jurisdiction; and 3) storefront and/or delivery retail sales allowed.</p></sec><sec id="S9"><title>Enhanced Advertising Restrictions</title><p id="P11">California law prohibited marketing cannabis in ways that appeal to youth or encourage use by people under 21, but language specifying which advertising tactics appeal to minors was vague (<xref rid="R38" ref-type="bibr">A. A. Padon et al., 2018</xref>; <xref rid="R55" ref-type="bibr">Tan et al., 2022</xref>). State law also restricted cannabis billboards on most highways, as well as outdoor advertising within 1000 feet of a daycare, K-12 school, playground, or youth center. Jurisdictions allowing retail were coded as having enhanced advertising restrictions if local policy prohibited youth-appealing advertising with details beyond state law or restricted billboard placement or content; business signage; branded merchandise; and/or TV, radio, internet, or print advertisements beyond state law requirements.</p></sec><sec id="S10"><title>Equity Provisions</title><p id="P12">Equity provisions typically aim to support communities most harmed by cannabis criminalization. Jurisdictions were considered to have equity provisions if they prioritized licenses for &#x0201c;equity applicants,&#x0201d; reduced or deferred their licensing fees, or required prioritizing employment of economically or socially disadvantaged workers. Equity applicant eligibility varied by jurisdiction (<xref rid="R9" ref-type="bibr">California Department of Cannabis Control, n.d.</xref>; <xref rid="R28" ref-type="bibr">Los Angeles, CA, Municipal Code &#x000a7; 104.20, n.d.</xref>; <xref rid="R37" ref-type="bibr">Oakland, CA, Municipal Code &#x000a7; 5.80.010, n.d.</xref>). As of January 1, 2020, there were no state-level equity provisions.</p></sec><sec id="S11"><title>Robust Storefront Cap</title><p id="P13">Jurisdictions allowing storefront sales were categorized as having a robust storefront cap if they allowed no more than 1 retailer per 20,000 residents, the mean ratio of storefronts to population; those below 20,000 residents were considered robust if only 1 storefront retailer was permitted. State law did not cap retailers.</p></sec><sec id="S12"><title>Expanded Youth-Serving Site Buffers</title><p id="P14">California law requires a buffer of 600 feet between cannabis retailers and K-12 schools, daycares, and youth centers. Jurisdictions allowing storefront retailers were categorized as having expanded buffers when the buffer was greater than 600 feet or other sites were added (e.g., libraries, playgrounds).</p></sec><sec id="S13"><title>Neighborhood Socioeconomic Advantage</title><p id="P15">Neighborhood socioeconomic advantage was derived from the Area Deprivation Index (ADI), a composite of 17 neighborhood socioeconomic characteristics. ADI has shown good reliability and external validity and provides a comprehensive approach to measuring area disadvantage (<xref rid="R51" ref-type="bibr">Singh, 2003</xref>; <xref rid="R52" ref-type="bibr">Singh et al., 2013</xref>). We used the University of Wisconsin&#x02019;s Neighborhood Atlas ADI dataset (<xref rid="R23" ref-type="bibr">Kind &#x00026; Buckingham, 2018</xref>; <xref rid="R59" ref-type="bibr">University of Wisconsin School of Medicine and Public Health, 2019</xref>), which weights 5-year average (2015&#x02013;2019) American Community Survey (ACS) measures at the census block group level. Socioeconomic advantage was operationalized in two ways: 1) for the main analysis, California&#x02019;s state decile ADI ranks were dichotomized at the median: less socioeconomic advantage (ADI&#x02265;6th decile; hereafter &#x0201c;disadvantaged&#x0201d;) versus more socioeconomic advantage (ADI&#x02264;5th decile; hereafter &#x0201c;advantaged&#x0201d;); and 2) for the sensitivity analyses, ADI was divided into quintiles (quintile 1= most disadvantaged; 5 = most advantaged). Approximately 1.6% of California&#x02019;s population had a missing ADI based on University of Wisconsin&#x02019;s suppression criteria used to address potential bias (<xref rid="SD1" ref-type="supplementary-material">Supplementary material 1</xref>, <xref rid="SD1" ref-type="supplementary-material">Text 1</xref>), resulting in a sample size of 38,638,060.</p></sec><sec id="S14"><title>Race and Ethnicity</title><p id="P16">Race and ethnicity population estimates of residents identified as &#x0201c;of Hispanic, Latino, or Spanish origin&#x0201d; (hereafter &#x0201c;Latinx&#x0201d;); non-Latinx Asian (hereafter &#x0201c;Asian&#x0201d;); non-Latinx Black (hereafter &#x0201c;Black&#x0201d;); non-Latinx white (hereafter, &#x0201c;white&#x0201d;) were retrieved from the 2015&#x02013;2019 block group level ACS dataset accessed through IPUMS (<xref rid="R30" ref-type="bibr">Manson et al., 2021</xref>; <xref rid="R62" ref-type="bibr">US Department of Commerce, 2019</xref>) (<xref rid="SD1" ref-type="supplementary-material">Supplementary material 1</xref>, <xref rid="SD1" ref-type="supplementary-material">Text 1</xref>).</p></sec></sec><sec id="S15"><title>Statistical Analysis</title><sec id="S16"><title>Policy Population Coverage</title><p id="P17">Percentages of persons in jurisdictions allowing retail were calculated by summing the population of each block group/block group part whose matched jurisdiction enacted such policies, then dividing it by the total California population (<xref rid="SD1" ref-type="supplementary-material">Supplementary material 1</xref>, <xref rid="SD1" ref-type="supplementary-material">Text 2</xref>). Population percentages covered by enhanced advertising restrictions or equity provisions were calculated from jurisdictions allowing any retail. Percentage with robust storefront caps and expanded buffers were limited to jurisdictions allowing storefronts. Percentage of demographic subgroups subject to these policies was derived using the same methods, using the subgroup&#x02019;s total population as the denominator. Examining policy coverage relative to each subgroup&#x02019;s total population facilitated more granular comparisons across subgroups. We calculated 95% confidence levels using U.S. Census Bureau guidance (<xref rid="R60" ref-type="bibr">U.S. Census Bureau, 2020</xref>).</p><p id="P18">Z-tests (alpha=0.05) were used to compare proportions of each subpopulation subject to each policy. Comparisons were conducted by neighborhood advantage (1 test: advantaged versus disadvantaged), race and ethnicity (6 tests: Latinx versus Asian, Latinx versus Black, Latinx versus white, Asian versus Black, Asian versus white, Black versus white), and their intersection (28 tests: e.g., advantaged Latinx versus disadvantaged Latinx, advantaged Latinx versus advantaged Asian) using U.S. Census Bureau guidance (<xref rid="R60" ref-type="bibr">U.S. Census Bureau, 2020</xref>). The Bonferroni method was used to adjust for pairwise multiple comparisons (<xref rid="R63" ref-type="bibr">VanderWeele &#x00026; Mathur, 2019</xref>).</p></sec><sec id="S17"><title>Sensitivity Analysis</title><p id="P19">To explore dose-response trends between socioeconomic advantage, race, ethnicity, and local cannabis laws, all analyses were repeated using social advantage as defined by ADI quintiles.</p><p id="P20">All final statistical analyses were conducted August 2023 using Stata/SE 17.0 (<xref rid="R53" ref-type="bibr">StataCorp, 2021</xref>).</p></sec></sec></sec><sec id="S18"><title>Results</title><sec id="S19"><title>Demographics</title><p id="P21"><xref rid="T1" ref-type="table">Table 1</xref> presents demographic characteristics across the analytic sample, representing approximately 98.4% (margin of error=&#x000b1;0.2) of California&#x02019;s population. The majority of white (59.0%) and Asian (69.8%) residents lived in advantaged neighborhoods, whereas the majority of Black (63.3%) and Latinx (69.2%) residents lived in disadvantaged neighborhoods. All differences within racial and ethnic categories were statistically significant (p&#x0003c;0.001).</p></sec><sec id="S20"><title>Policy Coverage</title><p id="P22"><xref rid="F1" ref-type="fig">Figures 1</xref> and <xref rid="F2" ref-type="fig">2</xref> present the percentages and 95% confidence intervals of California&#x02019;s overall population and across racial, ethnic, and neighborhood advantage subgroups covered by local cannabis policies (<xref rid="SD1" ref-type="supplementary-material">Supplementary material 1</xref>, <xref rid="SD1" ref-type="supplementary-material">Table 1</xref>). Pairwise comparisons across subgroups were mostly significant (<xref rid="SD1" ref-type="supplementary-material">Supplementary material 1</xref>, <xref rid="SD1" ref-type="supplementary-material">Table 2</xref>).</p></sec><sec id="S21"><title>Policies Allowing Cannabis Retail</title><p id="P23">By January 2020 about 58.1% of California&#x02019;s population lived where some form of cannabis retail sales was legal, 46.1% in a jurisdiction allowing storefronts, and 56.7% in a jurisdiction allowing delivery. Those in advantaged neighborhoods were more likely to live where retail was allowed than those in disadvantaged neighborhoods. In the overall sample, Black, then Latinx individuals were most likely to live where retail was allowed, followed by Asian and white individuals. This was consistent within racial and ethnic groups by advantage, except for Asian populations. Black individuals from advantaged neighborhoods were consistently most likely to live in a jurisdiction allowing storefronts and/or delivery, while white individuals in disadvantaged neighborhoods were least likely.</p><p id="P24">With respect to delivery, the difference between advantaged and disadvantaged neighborhoods was particularly high for white and Black populations (+16.9% [white], +11.6% [Black], +8.6% [Latinx], &#x02212;0.6% [Asian], +9.7% [All races and ethnicities]).</p></sec><sec id="S22"><title>Enhanced Ad Restrictions</title><p id="P25">Over half of Californians living where retail was allowed were covered by enhanced ad restrictions. Latinx residents were most likely to be covered by these policies, followed by Black, white, and Asian residents. In general, and within the same racial and ethnic populations, a higher percentage of people in disadvantaged neighborhoods had enhanced ad restrictions than those in advantaged neighborhoods, except for white populations.</p></sec><sec id="S23"><title>Equity Provisions</title><p id="P26">Only 37.5% of those living where retail was allowed were covered by any local equity provisions. Black residents were most likely to be covered, followed by Asian, Latinx, and white residents. In general, and comparing within subgroups, a higher percentage of advantaged neighborhoods were covered by local equity provisions. Black individuals in advantaged neighborhoods had the highest coverage (57.2%) and white individuals from disadvantaged neighborhoods had the lowest (21.0%).</p></sec><sec id="S24"><title>Robust Storefront Caps</title><p id="P27">About 40.3% of those living where storefronts were allowed had a robust storefront cap in their area; differences between subpopulations were small. In the overall sample, Asian residents were most likely to live in a jurisdiction with a robust cap, followed by white, Black, and Latinx residents. Highest coverage was among Asian populations from advantaged neighborhoods (47.6%) and lowest for Latinx populations from advantaged neighborhoods (35.4%). Apart from Asian populations, within racial and ethnic groups, a greater percentage of individuals in disadvantaged neighborhoods lived with robust storefront caps than those in advantaged neighborhoods.</p></sec><sec id="S25"><title>Expanded Storefront Buffers from Youth-Serving Sites</title><p id="P28">About three-quarters (75.7%) of those living in a jurisdiction allowing storefronts were covered by expanded storefront buffers from youth-serving sites. White and Black residents were least likely to be covered by expanded buffers and Asian and Latinx residents were most likely. Highest coverage was among Asian individuals from disadvantaged neighborhoods (83.5%) and lowest among Black individuals from advantaged neighborhoods (72.9%). A greater percentage of Asian, Black, and white populations from disadvantaged neighborhoods had expanded buffers than their advantaged counterparts (+9.8%, +1.9%, +0.2%, respectively), whereas Latinx populations in disadvantaged neighborhoods had a lower percentage of coverage than their advantaged counterparts (&#x02212;9.0%).</p></sec><sec id="S26"><title>Sensitivity Analyses</title><p id="P29">Using quintile-based measures of neighborhood advantage yielded fairly consistent results to median-based measures (<xref rid="T2" ref-type="table">Table 2</xref>). As neighborhood advantage increased, percentage of residents living with any retail or covered by equity provisions increased with a dose-response trend consistent with the main analysis. Similar trends were present across quintiles within Latinx, Black, and white populations. One notable inconsistency was expanded buffer coverage between disadvantaged and advantaged neighborhoods. While the median-based analysis found 1.1% difference (76.3% versus 75.2%, respectively), the quintile-based analysis showed an inverted U-shape of coverage across neighborhoods. Residents in middle advantage neighborhoods (Q3) had the highest buffer coverage (84.9%) and residents in neighborhoods of either extreme had the lowest coverage (Q1: 68.2%; Q5: 66.5%).</p></sec></sec><sec id="S27"><title>Discussion</title><p id="P30">California&#x02019;s local cannabis policy landscape varied greatly throughout the state and across socioeconomic, racial, and ethnic groups. When jointly considering these demographic characteristics, a more nuanced distribution of policy coverage was revealed.</p><sec id="S28"><title>Retail Legalization</title><p id="P31">For the most part, in California, legalization of storefront cannabis retailers, and to an even greater extent, delivery, was most common in socioeconomically advantaged communities. Findings differ from Matthay and colleagues who found that, in California, any cannabis business type legalization was most common in impoverished areas (<xref rid="R31" ref-type="bibr">Matthay, Mousli, Fu, et al., 2022</xref>). This difference may stem from our examination of storefront and delivery cannabis retailer policies in the universe of jurisdictions, in contrast to Matthay&#x02019;s examination of all business types in a more limited sample of 241 (45%) California jurisdictions (<xref rid="R31" ref-type="bibr">Matthay, Mousli, Fu, et al., 2022</xref>).</p><p id="P32">Our finding that Black residents were most likely to live in jurisdictions permitting storefronts than any other racial and ethnic group is consistent with the findings of Matthay and colleagues (<xref rid="R31" ref-type="bibr">Matthay, Mousli, Fu, et al., 2022</xref>; <xref rid="R32" ref-type="bibr">Matthay, Mousli, Ponicki, et al., 2022</xref>). However, as with the overall socioeconomic findings, Black residents of more advantaged neighborhoods were more likely than those of more disadvantaged neighborhoods to live where storefronts were allowed.</p><p id="P33">More prevalent legalization of sales where Black residents live may reflect a social response to the War on Drugs and the disproportionate burden of arrests and incarceration (<xref rid="R2" ref-type="bibr">American Civil Liberties Union, 2020</xref>). Conservative, predominantly white communities in California&#x02019;s rural areas may have retained more support for anti-cannabis policies, perhaps explaining why white residents in disadvantaged neighborhoods were least likely to live in jurisdictions allowing retail. Alternatively, socioeconomically disadvantaged communities, long exposed to high tobacco and alcohol outlet concentration, may have been more opposed to allowing cannabis retailers. The opportunity of drug tourism, as seen in Amsterdam and Jamaica, may influence populous jurisdictions with large tourism industries to allow legal cannabis sales (<xref rid="R50" ref-type="bibr">Silverman et al., 2023</xref>). Future research should examine distributions of policies by rurality in addition to socioeconomic status, race, and, ethnicity.</p></sec><sec id="S29"><title>Enhanced Ad Restrictions</title><p id="P34">Latinx and Black populations in disadvantaged neighborhoods were the most likely to have enhanced advertising restrictions. This finding is promising, since exposure to advertisements increases interest in use among youth (<xref rid="R57" ref-type="bibr">Trangenstein et al., 2021</xref>), and tobacco and alcohol research suggests that ads are often specifically tailored to demographic groups (<xref rid="R14" ref-type="bibr">Cohen et al., 2011</xref>; <xref rid="R16" ref-type="bibr">Cruz et al., 2019</xref>; <xref rid="R19" ref-type="bibr">Gardiner, 2004</xref>) and cluster in areas with lower socioeconomic status and higher Black and Latinx composition (<xref rid="R26" ref-type="bibr">Lee et al., 2015</xref>; <xref rid="R41" ref-type="bibr">Pasch et al., 2009</xref>; <xref rid="R64" ref-type="bibr">Wilson &#x00026; Till, 2012</xref>). In contrast, a smaller percentage of white residents (49.5%) living in disadvantaged communities, despite having some of the highest rates of recent cannabis use in California (<xref rid="R58" ref-type="bibr">UCLA Center for Health Policy Research, n.d.</xref>), are protected by ad regulations than Black (65.7%) and Latinx (65.8%) populations in neighborhoods of the same socioeconomic level. This may reflect heightened awareness in Black and Latinx communities of past targeted advertisement used by other industries.</p></sec><sec id="S30"><title>Equity Provisions in Licensing and Hiring</title><p id="P35">Equity provisions for cannabis licensing and hiring, while not widespread, were most prevalent where Black residents lived in advantaged neighborhoods, perhaps reflecting the advocacy power of the socioeconomic advantage in Black communities seeking racial justice with respect to cannabis. Insufficient financial resources for establishing a new business is a common obstacle for people of color (<xref rid="R46" ref-type="bibr">Phillips Pantin, 2017</xref>), especially those who suffered cannabis-related incarceration (<xref rid="R21" ref-type="bibr">Harris et al., 2010</xref>). While more advantaged Black (and Latinx) residents may be financially positioned to benefit from equity licensing provisions, even those in disadvantaged communities without capital may benefit from reduced fees and equitable hiring practices (<xref rid="R27" ref-type="bibr">Levy-Pounds, 2010</xref>). In 2022, California created cannabis license fee waivers for equity applicants and established grants for jurisdictions to develop social equity programs (<xref rid="R11" ref-type="bibr">California Department of Cannabis Control, 2022</xref>). However, as of April 2023, only 114 storefront retailers were equity licensees (about 10%) (<xref rid="R12" ref-type="bibr">California Department of Cannabis Control, 2023</xref>), suggesting that direct economic benefits of cannabis legalization continue to be limited for those most harmed by criminalization of cannabis.</p><p id="P36">Among places that have implemented equity licensing policies, many are not as effective as they could be because of poor administrative infrastructure, overinclusive or vague eligibility categories, and preference toward larger businesses with better resources (<xref rid="R42" ref-type="bibr">Patterson et al., 2024</xref>). Equity businesses may also have lower access to commercial, tourist, and affluent areas (<xref rid="R42" ref-type="bibr">Patterson et al., 2024</xref>). Whether owned and operated by residents or by outside investors, the public health concerns of legal cannabis retailers in communities most affected by the War on Drugs remain. Evidence shows, for example, that pregnant women living in closer proximity to cannabis retailers are more likely to use cannabis (<xref rid="R65" ref-type="bibr">Young-Wolff et al., 2021</xref>), which may negatively impact birthweight and child development (<xref rid="R3" ref-type="bibr">Avalos et al., 2024</xref>; <xref rid="R4" ref-type="bibr">Bassalov et al., 2024</xref>; <xref rid="R43" ref-type="bibr">Paul et al., 2021</xref>). This may further exacerbate Black-white perinatal health disparities, which are rooted in structural racism (<xref rid="R7" ref-type="bibr">Brown et al., 2021</xref>).</p><p id="P37">To date, the public debate on what &#x0201c;equity&#x0201d; in cannabis policy means has largely neglected consideration of social or health inequities unrelated to cannabis business opportunities. Decriminalization and automatic expungement may bring the largest equity benefits for Black and Latinx communities, removing barriers to employment and advancement for far more people than prioritizing individuals for work in the cannabis industry itself (<xref rid="R22" ref-type="bibr">Kilmer et al., 2021</xref>), one which continues to carry social stigma, even in the legal environment (<xref rid="R42" ref-type="bibr">Patterson et al., 2024</xref>). Cannabis possession arrest rates have declined dramatically over a decade (<xref rid="R2" ref-type="bibr">American Civil Liberties Union, 2020</xref>), and as of January 10, 2023, about 93.3% of eligible cannabis-related convictions in California had been expunged (<xref rid="R6" ref-type="bibr">Bonta, 2023</xref>). Investment of California cannabis tax revenues in childcare, youth programs, substance use prevention, and community reinvestment may also have positive equity impacts. The overall equity impact of a weakly regulated for-profit cannabis industry remains to be determined.</p><sec id="S31"><title>Strengths</title><p id="P38">Our findings fill important gaps in the literature by identifying subtle but meaningful differences in Californians&#x02019; exposure to local cannabis policies across intersecting racial and ethnic identities and neighborhood advantage. These policies may systematically affect health and economic disparities. We examined the universe of California&#x02019;s 539 jurisdictions and included both storefront and delivery retail policy. Previous research was primarily limited to examining storefronts serving subsets of jurisdictions or populations (<xref rid="R31" ref-type="bibr">Matthay, Mousli, Fu, et al., 2022</xref>; <xref rid="R32" ref-type="bibr">Matthay, Mousli, Ponicki, et al., 2022</xref>). Given that access via delivery may reach more people than storefronts (<xref rid="R39" ref-type="bibr">A. Padon et al., 2022</xref>), storefront analysis alone provides an inadequate picture of legal access.</p></sec><sec id="S32"><title>Limitations</title><p id="P39">While use of the Area Deprivation Index, a well-established, validated area-level measure of neighborhood socioeconomic advantage (<xref rid="R51" ref-type="bibr">Singh, 2003</xref>; <xref rid="R52" ref-type="bibr">Singh et al., 2013</xref>), captured a more comprehensive view of socioeconomic context than single socioeconomic measures, the index may misrepresent neighborhood conditions if extreme disparities exist between residents within the same block group, which may bias results in varied directions (<xref rid="R20" ref-type="bibr">Hannan et al., 2023</xref>). Our intersectional analysis of racial and ethnic identity and socioeconomic advantage avoids the pitfalls of common approaches (<xref rid="R5" ref-type="bibr">Bauer, 2014</xref>), but categorizing racial and ethnic identities into 4 broad groups may obscure within group differences, such as by immigrant status or origin (<xref rid="R49" ref-type="bibr">Rubin et al., 2018</xref>). Evidence suggests that American Indian and Alaska Native (AIAN) residents, who make up 1% of California&#x02019;s population (<xref rid="R29" ref-type="bibr">Manson et al., 2023</xref>), are at higher risk for cannabis use, early initiation, and cannabis use disorder than other populations (<xref rid="R34" ref-type="bibr">Montgomery et al., 2022</xref>; <xref rid="R54" ref-type="bibr">Swaim &#x00026; Stanley, 2018</xref>), underscoring the need to track their cannabis policy exposure. Because a non-negligible proportion of AIAN Californians live on American Indian Reservations and Off-Reservation Trust Land (<xref rid="R61" ref-type="bibr">US Department of Commerce, n.d.</xref>) and the cannabis policy dataset does not include Tribal policies, this group was not included in our analysis. Measuring exposure based on neighborhood groups captures residents&#x02019; immediate environmental context but does not account for proximity to jurisdictions with different policies (<xref rid="R44" ref-type="bibr">Perchoux et al., 2013</xref>). We also examined policy passage, but not implementation or actual retail infrastructure. While our study of the universe of California&#x02019;s jurisdictions allows for high confidence in the validity and reliability of our estimates within the state, California&#x02019;s unique policy and sociodemographic distribution limits broad generalizability.</p></sec></sec></sec><sec id="S33"><title>Conclusion</title><p id="P40">Two years after California&#x02019;s adult-use market opened, individuals from more socioeconomically advantaged neighborhoods were most likely to live where cannabis retail was allowed. Potentially protective policies were neither widespread nor equally distributed across neighborhood advantage levels or race and ethnicity. Equity considerations in licensing and hiring were even less widespread, and more prevalent for Black residents from more advantaged neighborhoods. How these disparities in legalization and protective policies will affect disparities in cannabis use and related adverse health outcomes, as well as socioeconomic conditions in communities impacted by discriminatory law enforcement practices, remains unclear and merits future research.</p></sec><sec sec-type="supplementary-material" id="SM1"><title>Supplementary Material</title><supplementary-material id="SD1" position="float" content-type="local-data"><label>1</label><media xlink:href="NIHMS2014736-supplement-1.docx" id="d67e570" position="anchor"/></supplementary-material></sec></body><back><ack id="S34"><title>Funding sources</title><p id="P41">This project was supported by funds provided by The Regents of the University of California, Tobacco-Related Diseases Research Program, Grant Number 28IP-0035C, and by the National Institute on Drug Abuse, Grant Number R01DA047405.</p></ack><fn-group><fn id="FN1"><p id="P42" content-type="publisher-disclaimer">This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.</p></fn><fn fn-type="COI-statement" id="FN2"><p id="P43">Declaration of interests</p><p id="P44">The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.</p></fn><fn fn-type="COI-statement" id="FN3"><p id="P45">Financial conflicts: Authors have no financial disclosures.</p></fn><fn id="FN4"><p id="P46">CRediT authorship contribution statement: <bold>Bethany J. Simard</bold>: Conceptualization, Methodology, Software, Formal Analysis, Data Curation, Writing-Original Draft, Writing-Review &#x00026; Editing, Visualization; <bold>Alisa A. Padon</bold>: Conceptualization, Methodology, Investigation, Writing-Original Draft, Writing-Review &#x00026; Editing, Supervision, Project administration, Funding acquisition; <bold>Lynn D. Silver</bold>: Conceptualization, Methodology, Writing-Original Draft, Writing-Review &#x00026; Editing, Supervision, Project administration, Funding acquisition; <bold>Lyndsay A. Avalos</bold>: Methodology, Writing-Review &#x00026; Editing; <bold>Aurash J. Soroosh</bold>: Methodology, Investigation, Writing-Review &#x00026; Editing; <bold>Kelly C. Young-Wolff</bold>: Methodology, Writing-Review &#x00026; Editing.</p></fn><fn id="FN5"><p id="P47">Ethics approval</p><p id="P48">The authors declare that the work reported herein did not require ethics approval because it did not involve animal or human participation.</p></fn></fn-group><ref-list><title>References</title><ref id="R1"><mixed-citation publication-type="book"><name><surname>Alexander</surname><given-names>M</given-names></name> (<year>2012</year>). <source>The New Jim Crow</source>. <publisher-loc>New York, NY</publisher-loc>: <publisher-name>The New Press</publisher-name>.</mixed-citation></ref><ref id="R2"><mixed-citation publication-type="webpage"><collab>American Civil Liberties Union</collab>. (<year>2020</year>). <source>A Tale of Two Countries: Racially Targeted Arrests in the Era of Marijuana Reform</source>. <comment><ext-link xlink:href="https://www.aclu.org/sites/default/files/field_document/marijuanareport_03232021.pdf" ext-link-type="uri">https://www.aclu.org/sites/default/files/field_document/marijuanareport_03232021.pdf</ext-link></comment></mixed-citation></ref><ref id="R3"><mixed-citation publication-type="journal"><name><surname>Avalos</surname><given-names>LA</given-names></name>, <name><surname>Adams</surname><given-names>SR</given-names></name>, <name><surname>Alexeeff</surname><given-names>SE</given-names></name>, <name><surname>Oberman</surname><given-names>NR</given-names></name>, <name><surname>Does</surname><given-names>MB</given-names></name>, <name><surname>Ansley</surname><given-names>D</given-names></name>, <name><surname>Goler</surname><given-names>N</given-names></name>, <name><surname>Padon</surname><given-names>AA</given-names></name>, <name><surname>Silver</surname><given-names>LD</given-names></name>, &#x00026; <name><surname>Young-Wolff</surname><given-names>KC</given-names></name> (<year>2024</year>). <article-title>Neonatal outcomes associated with <italic toggle="yes">in utero</italic> cannabis exposure: A population-based retrospective cohort study</article-title>. <source>American Journal of Obstetrics and Gynecology</source>, <volume>231</volume>(<issue>1</issue>), <fpage>132.e1</fpage>&#x02013;<lpage>132.e13</lpage>. <pub-id pub-id-type="doi">10.1016/j.ajog.2023.11.1232</pub-id></mixed-citation></ref><ref id="R4"><mixed-citation publication-type="journal"><name><surname>Bassalov</surname><given-names>H</given-names></name>, <name><surname>Yakirevich-amir</surname><given-names>N</given-names></name>, <name><surname>Reuveni</surname><given-names>I</given-names></name>, <name><surname>Monk</surname><given-names>C</given-names></name>, <name><surname>Florentin</surname><given-names>S</given-names></name>, <name><surname>Bonne</surname><given-names>O</given-names></name>, &#x00026; <name><surname>Matok</surname><given-names>I</given-names></name> (<year>2024</year>). <article-title>Prenatal Cannabis Exposure and The Risk for Neuropsychiatric Anomalies in the Offspring: A Systematic Review and Meta-Analysis</article-title>. <source>American Journal of Obstetrics and Gynecology</source>. <pub-id pub-id-type="doi">10.1016/j.ajog.2024.06.014</pub-id></mixed-citation></ref><ref id="R5"><mixed-citation publication-type="journal"><name><surname>Bauer</surname><given-names>GR</given-names></name> (<year>2014</year>). <article-title>Incorporating intersectionality theory into population health research methodology: Challenges and the potential to advance health equity</article-title>. <source>Social Science &#x00026; Medicine</source>, <volume>110</volume>, <fpage>10</fpage>&#x02013;<lpage>17</lpage>. <pub-id pub-id-type="doi">10.1016/j.socscimed.2014.03.022</pub-id><pub-id pub-id-type="pmid">24704889</pub-id>
</mixed-citation></ref><ref id="R6"><mixed-citation publication-type="book"><name><surname>Bonta</surname><given-names>R</given-names></name> (<year>2023</year>). <source>AB 1706 Legislative Report</source>. <publisher-name>California Department of Justice, California Justice Information Services Division, Bureau of Criminal Information &#x00026; Analysis</publisher-name>. <comment><ext-link xlink:href="https://oag.ca.gov/system/files/media/ab1706-q3-report.pdf" ext-link-type="uri">https://oag.ca.gov/system/files/media/ab1706-q3-report.pdf</ext-link></comment></mixed-citation></ref><ref id="R7"><mixed-citation publication-type="journal"><name><surname>Brown</surname><given-names>HL</given-names></name>, <name><surname>Small</surname><given-names>MJ</given-names></name>, <name><surname>Clare</surname><given-names>CA</given-names></name>, &#x00026; <name><surname>Hill</surname><given-names>WC</given-names></name> (<year>2021</year>). <article-title>Black women health inequity: The origin of perinatal health disparity</article-title>. <source>Journal of the National Medical Association</source>, <volume>113</volume>(<issue>1</issue>), <fpage>105</fpage>&#x02013;<lpage>113</lpage>. <pub-id pub-id-type="doi">10.1016/j.jnma.2020.11.008</pub-id><pub-id pub-id-type="pmid">33339616</pub-id>
</mixed-citation></ref><ref id="R8"><mixed-citation publication-type="webpage"><source>California | Municode Library</source>. (n.d.). <comment>Retrieved</comment>
<date-in-citation>September 30, 2020</date-in-citation>, from <comment><ext-link xlink:href="https://library.municode.com/ca" ext-link-type="uri">https://library.municode.com/ca</ext-link></comment></mixed-citation></ref><ref id="R9"><mixed-citation publication-type="book"><collab>California Department of Cannabis Control</collab>. (n.d.). <source>Cannabis equity</source>. <publisher-name>Department of Cannabis Control California</publisher-name>. <comment>Retrieved</comment>
<date-in-citation>August 24, 2023</date-in-citation>, from <comment><ext-link xlink:href="https://cannabis.ca.gov/resources/equity" ext-link-type="uri">https://cannabis.ca.gov/resources/equity</ext-link></comment></mixed-citation></ref><ref id="R10"><mixed-citation publication-type="book"><collab>California Department of Cannabis Control</collab>. (<year>2019</year>). <source>California&#x02019;s Cannabis Laws</source>. <publisher-name>Department of Cannabis Control California</publisher-name>. <comment><ext-link xlink:href="https://cannabis.ca.gov/cannabis-laws/laws-and-regulations" ext-link-type="uri">https://cannabis.ca.gov/cannabis-laws/laws-and-regulations</ext-link></comment></mixed-citation></ref><ref id="R11"><mixed-citation publication-type="book"><collab>California Department of Cannabis Control</collab>. (<year>2022</year>, <month>January</month>
<day>1</day>). <source>DCC is now accepting requests for Equity Fee Waivers</source>. <publisher-name>Department of Cannabis Control California</publisher-name>. <comment><ext-link xlink:href="https://cannabis.ca.gov/2022/01/dcc-isnow-accepting-requests-for-equity-fee-waivers" ext-link-type="uri">https://cannabis.ca.gov/2022/01/dcc-isnow-accepting-requests-for-equity-fee-waivers</ext-link></comment></mixed-citation></ref><ref id="R12"><mixed-citation publication-type="webpage"><collab>California Department of Cannabis Control</collab>. (<year>2023</year>, <month>April</month>
<day>20</day>). <source>On 4/20 Department of Cannabis Control Recognizes Equity Cannabis Retailers</source>. <comment><ext-link xlink:href="https://cannabis.ca.gov/2023/04/on-4-20-department-ofcannabis-control-recognizes-equity-cannabis-retailers" ext-link-type="uri">https://cannabis.ca.gov/2023/04/on-4-20-department-ofcannabis-control-recognizes-equity-cannabis-retailers</ext-link></comment></mixed-citation></ref><ref id="R13"><mixed-citation publication-type="webpage"><collab>California Proposition 64, Marijuana Legalization (2016)</collab>. (n.d.). <source>Ballotpedia</source>. <comment>Retrieved</comment>
<date-in-citation>November 28, 2022</date-in-citation>, from <comment><ext-link xlink:href="https://ballotpedia.org/California_Proposition_64,_Marijuana_Legalization_(2016)" ext-link-type="uri">https://ballotpedia.org/California_Proposition_64,_Marijuana_Legalization_(2016)</ext-link></comment></mixed-citation></ref><ref id="R14"><mixed-citation publication-type="journal"><name><surname>Cohen</surname><given-names>EL</given-names></name>, <name><surname>Caburnay</surname><given-names>CA</given-names></name>, &#x00026; <name><surname>Rodgers</surname><given-names>S</given-names></name> (<year>2011</year>). <article-title>Alcohol and Tobacco Advertising in Black and General Audience Newspapers: Targeting with Message Cues?</article-title>
<source>Journal of Health Communication</source>, <volume>16</volume>(<issue>6</issue>), <fpage>566</fpage>&#x02013;<lpage>582</lpage>. <pub-id pub-id-type="doi">10.1080/10810730.2011.551990</pub-id><pub-id pub-id-type="pmid">21391042</pub-id>
</mixed-citation></ref><ref id="R15"><mixed-citation publication-type="journal"><name><surname>Crenshaw</surname><given-names>K</given-names></name> (<year>1989</year>). <article-title>Demarginalizing the Intersection of Race and Sex: A Black Feminist Critique of Antidiscrimination Doctrine, Feminist Theory and Antiracist Politics</article-title>. <source>University of Chicago Legal Forum</source>, <volume>1989</volume>, <fpage>139</fpage>.</mixed-citation></ref><ref id="R16"><mixed-citation publication-type="journal"><name><surname>Cruz</surname><given-names>TB</given-names></name>, <name><surname>Rose</surname><given-names>SW</given-names></name>, <name><surname>Lienemann</surname><given-names>BA</given-names></name>, <name><surname>Byron</surname><given-names>MJ</given-names></name>, <name><surname>Meissner</surname><given-names>HI</given-names></name>, <name><surname>Baezconde-Garbanati</surname><given-names>L</given-names></name>, <name><surname>Huang</surname><given-names>L-L</given-names></name>, <name><surname>Carroll</surname><given-names>DM</given-names></name>, <name><surname>Soto</surname><given-names>C</given-names></name>, &#x00026; <name><surname>Unger</surname><given-names>JB</given-names></name> (<year>2019</year>). <article-title>Pro-tobacco marketing and anti-tobacco campaigns aimed at vulnerable populations: A review of the literature</article-title>. <source>Tobacco Induced Diseases</source>, <volume>17</volume>, <fpage>68</fpage>. <pub-id pub-id-type="doi">10.18332/tid/111397</pub-id><pub-id pub-id-type="pmid">31582956</pub-id>
</mixed-citation></ref><ref id="R17"><mixed-citation publication-type="journal"><name><surname>Earp</surname><given-names>BD</given-names></name>, <name><surname>Lewis</surname><given-names>J</given-names></name>, &#x00026; <name><surname>Hart</surname><given-names>CL</given-names></name> (<year>2021</year>). <article-title>Racial Justice Requires Ending the War on Drugs</article-title>. <source>The American Journal of Bioethics</source>, <volume>21</volume>(<issue>4</issue>), <fpage>4</fpage>&#x02013;<lpage>19</lpage>. <pub-id pub-id-type="doi">10.1080/15265161.2020.1861364</pub-id></mixed-citation></ref><ref id="R18"><mixed-citation publication-type="webpage"><collab>Fyllo<sup>&#x02122;</sup></collab>. (<year>2022</year>). <source>Regulatory Database for Cannabis [Dataset]</source>. <comment><ext-link xlink:href="https://hellofyllo.com/regulatory-solutions/cannabis" ext-link-type="uri">https://hellofyllo.com/regulatory-solutions/cannabis</ext-link></comment></mixed-citation></ref><ref id="R19"><mixed-citation publication-type="journal"><name><surname>Gardiner</surname><given-names>PS</given-names></name> (<year>2004</year>). <article-title>The African Americanization of menthol cigarette use in the United States</article-title>. <source>Nicotine &#x00026; Tobacco Research</source>, <volume>6</volume>(<issue>Suppl_1</issue>), <fpage>S55</fpage>&#x02013;<lpage>S65</lpage>. <pub-id pub-id-type="doi">10.1080/14622200310001649478</pub-id><pub-id pub-id-type="pmid">14982709</pub-id>
</mixed-citation></ref><ref id="R20"><mixed-citation publication-type="journal"><name><surname>Hannan</surname><given-names>EL</given-names></name>, <name><surname>Wu</surname><given-names>Y</given-names></name>, <name><surname>Cozzens</surname><given-names>K</given-names></name>, &#x00026; <name><surname>Anderson</surname><given-names>B</given-names></name> (<year>2023</year>). <article-title>The Neighborhood Atlas Area Deprivation Index For Measuring Socioeconomic Status: An Overemphasis On Home Value</article-title>. <source>Health Affairs (Project Hope)</source>, <volume>42</volume>(<issue>5</issue>), <fpage>702</fpage>&#x02013;<lpage>709</lpage>. <pub-id pub-id-type="doi">10.1377/hlthaff.2022.01406</pub-id><pub-id pub-id-type="pmid">37126749</pub-id>
</mixed-citation></ref><ref id="R21"><mixed-citation publication-type="journal"><name><surname>Harris</surname><given-names>A</given-names></name>, <name><surname>Evans</surname><given-names>H</given-names></name>, &#x00026; <name><surname>Beckett</surname><given-names>K</given-names></name> (<year>2010</year>). <article-title>Drawing Blood from Stones: Legal Debt and Social Inequality in the Contemporary United States</article-title>. <source>American Journal of Sociology</source>, <volume>115</volume>(<issue>6</issue>), <fpage>1753</fpage>&#x02013;<lpage>1799</lpage>. <pub-id pub-id-type="doi">10.1086/651940</pub-id></mixed-citation></ref><ref id="R22"><mixed-citation publication-type="journal"><name><surname>Kilmer</surname><given-names>B</given-names></name>, <name><surname>Caulkins</surname><given-names>JP</given-names></name>, <name><surname>Kilborn</surname><given-names>M</given-names></name>, <name><surname>Priest</surname><given-names>M</given-names></name>, &#x00026; <name><surname>Warren</surname><given-names>KM</given-names></name> (<year>2021</year>). <article-title>Cannabis Legalization and Social Equity: Some Opportunities, Puzzles, and Trade-offs</article-title>. <source>Boston University Law Review</source>, <volume>101</volume>, <fpage>1003</fpage>.</mixed-citation></ref><ref id="R23"><mixed-citation publication-type="journal"><name><surname>Kind</surname><given-names>AJH</given-names></name>, &#x00026; <name><surname>Buckingham</surname><given-names>WR</given-names></name> (<year>2018</year>). <article-title>Making Neighborhood-Disadvantage Metrics Accessible&#x02014;The Neighborhood Atlas</article-title>. <source>New England Journal of Medicine</source>, <volume>378</volume>(<issue>26</issue>), <fpage>2456</fpage>&#x02013;<lpage>2458</lpage>. <pub-id pub-id-type="doi">10.1056/NEJMp1802313</pub-id><pub-id pub-id-type="pmid">29949490</pub-id>
</mixed-citation></ref><ref id="R24"><mixed-citation publication-type="journal"><name><surname>Kong</surname><given-names>AY</given-names></name>, <name><surname>Myers</surname><given-names>AE</given-names></name>, <name><surname>Isgett</surname><given-names>LF</given-names></name>, &#x00026; <name><surname>Ribisl</surname><given-names>KM</given-names></name> (<year>2019</year>). <article-title>Neighborhood racial, ethnic, and income disparities in accessibility to multiple tobacco retailers: Mecklenburg County, North Carolina, 2015</article-title>. <source>Preventive Medicine Reports</source>, <volume>17</volume>, <fpage>101031</fpage>. <pub-id pub-id-type="doi">10.1016/j.pmedr.2019.101031</pub-id><pub-id pub-id-type="pmid">32021758</pub-id>
</mixed-citation></ref><ref id="R25"><mixed-citation publication-type="journal"><name><surname>Krieger</surname><given-names>N</given-names></name>, <name><surname>Rowley</surname><given-names>DL</given-names></name>, <name><surname>Herman</surname><given-names>AA</given-names></name>, <name><surname>Avery</surname><given-names>B</given-names></name>, &#x00026; <name><surname>Phillips</surname><given-names>MT</given-names></name> (<year>1993</year>). <article-title>Racism, Sexism, and Social Class: Implications for Studies of Health, Disease, and Well-being</article-title>. <source>American Journal of Preventive Medicine</source>, <volume>9</volume>(<issue>6, Supplement</issue>), <fpage>82</fpage>&#x02013;<lpage>122</lpage>. <pub-id pub-id-type="doi">10.1016/S0749-3797(18)30666-4</pub-id><pub-id pub-id-type="pmid">8123288</pub-id>
</mixed-citation></ref><ref id="R26"><mixed-citation publication-type="journal"><name><surname>Lee</surname><given-names>JGL</given-names></name>, <name><surname>Henriksen</surname><given-names>L</given-names></name>, <name><surname>Rose</surname><given-names>SW</given-names></name>, <name><surname>Moreland-Russell</surname><given-names>S</given-names></name>, &#x00026; <name><surname>Ribisl</surname><given-names>KM</given-names></name> (<year>2015</year>). <article-title>A Systematic Review of Neighborhood Disparities in Point-of-Sale Tobacco Marketing</article-title>. <source>American Journal of Public Health</source>, <volume>105</volume>(<issue>9</issue>), <fpage>e8</fpage>&#x02013;<lpage>e18</lpage>. <pub-id pub-id-type="doi">10.2105/AJPH.2015.302777</pub-id></mixed-citation></ref><ref id="R27"><mixed-citation publication-type="journal"><name><surname>Levy-Pounds</surname><given-names>N</given-names></name> (<year>2010</year>). <article-title>Can These Bones Live&#x02014;A Look at the Impacts of the War on Drugs on Poor African-American Children and Families</article-title>. <source>Hastings Race and Poverty Law Journal</source>, <volume>7</volume>, <fpage>353</fpage>.</mixed-citation></ref><ref id="R28"><mixed-citation publication-type="webpage"><name><surname>Los Angeles</surname><given-names>CA</given-names></name>, <source>Municipal Code &#x000a7; 104.20</source>. <comment>Retrieved</comment>
<date-in-citation>August 24, 2023</date-in-citation>, from <comment><ext-link xlink:href="https://codelibrary.amlegal.com/codes/los_angeles/latest/lamc/0-0-0-312273#JD_104.20" ext-link-type="uri">https://codelibrary.amlegal.com/codes/los_angeles/latest/lamc/0-0-0-312273#JD_104.20</ext-link></comment></mixed-citation></ref><ref id="R29"><mixed-citation publication-type="book"><name><surname>Manson</surname><given-names>S</given-names></name>, <name><surname>Schroeder</surname><given-names>J</given-names></name>, <name><surname>Van Riper</surname><given-names>D</given-names></name>, <name><surname>Knowles</surname><given-names>K</given-names></name>, <name><surname>Kugler</surname><given-names>T</given-names></name>, <name><surname>Roberts</surname><given-names>F</given-names></name>, &#x00026; <name><surname>Ruggles</surname><given-names>S</given-names></name> (<year>2023</year>). <source>IPUMS National Historical Geographic Information System: Version 18.0 2018&#x02013;2022 American Community Survey [Computer software]</source>. <publisher-name>IPUMS</publisher-name>. <pub-id pub-id-type="doi">10.18128/D050.V18.0</pub-id></mixed-citation></ref><ref id="R30"><mixed-citation publication-type="book"><name><surname>Manson</surname><given-names>S</given-names></name>, <name><surname>Schroeder</surname><given-names>J</given-names></name>, <name><surname>Van Riper</surname><given-names>D</given-names></name>, &#x00026; <name><surname>Ruggles</surname><given-names>S</given-names></name> (<year>2021</year>). <source>IPUMS National Historical Geographics Information System: Version 16.0 2015&#x02013;2019 American Community Survey [Computer software]</source>. <publisher-name>IPUMS</publisher-name>. <pub-id pub-id-type="doi">10.18128/D050.V16.0</pub-id></mixed-citation></ref><ref id="R31"><mixed-citation publication-type="journal"><name><surname>Matthay</surname><given-names>EC</given-names></name>, <name><surname>Mousli</surname><given-names>LM</given-names></name>, <name><surname>Fu</surname><given-names>C</given-names></name>, <name><surname>Zhang</surname><given-names>S</given-names></name>, <name><surname>Ponicki</surname><given-names>WR</given-names></name>, <name><surname>Gruenewald</surname><given-names>P</given-names></name>, <name><surname>Apollonio</surname><given-names>DE</given-names></name>, &#x00026; <name><surname>Schmidt</surname><given-names>LA</given-names></name> (<year>2022</year>). <article-title>Equity in Coverage of Local Cannabis Control Policies in California, 2020&#x02012;2021</article-title>. <source>American Journal of Public Health</source>, <volume>112</volume>(<issue>11</issue>), <fpage>1640</fpage>&#x02013;<lpage>1650</lpage>. <pub-id pub-id-type="doi">10.2105/AJPH.2022.307041</pub-id><pub-id pub-id-type="pmid">36075009</pub-id>
</mixed-citation></ref><ref id="R32"><mixed-citation publication-type="journal"><name><surname>Matthay</surname><given-names>EC</given-names></name>, <name><surname>Mousli</surname><given-names>L</given-names></name>, <name><surname>Ponicki</surname><given-names>WR</given-names></name>, <name><surname>Glymour</surname><given-names>MM</given-names></name>, <name><surname>Apollonio</surname><given-names>DE</given-names></name>, <name><surname>Schmidt</surname><given-names>LA</given-names></name>, &#x00026; <name><surname>Gruenewald</surname><given-names>P</given-names></name> (<year>2022</year>). <article-title>A Spatiotemporal Analysis of the Association of California City and County Cannabis Policies with Cannabis Outlet Densities</article-title>. <source>Epidemiology (Cambridge, Mass.)</source>, <volume>33</volume>(<issue>5</issue>), <fpage>715</fpage>&#x02013;<lpage>725</lpage>. <pub-id pub-id-type="doi">10.1097/EDE.0000000000001512</pub-id><pub-id pub-id-type="pmid">35944153</pub-id>
</mixed-citation></ref><ref id="R33"><mixed-citation publication-type="journal"><name><surname>Miron</surname><given-names>J</given-names></name>, &#x00026; <name><surname>Partin</surname><given-names>E</given-names></name> (<year>2021</year>). <article-title>Ending the War on Drugs Is an Essential Step Toward Racial Justice</article-title>. <source>The American Journal of Bioethics</source>, <volume>21</volume>(<issue>4</issue>), <fpage>1</fpage>&#x02013;<lpage>3</lpage>. <pub-id pub-id-type="doi">10.1080/15265161.2021.1895590</pub-id></mixed-citation></ref><ref id="R34"><mixed-citation publication-type="journal"><name><surname>Montgomery</surname><given-names>L</given-names></name>, <name><surname>Dixon</surname><given-names>S</given-names></name>, &#x00026; <name><surname>Mantey</surname><given-names>DS</given-names></name> (<year>2022</year>). <article-title>Racial and Ethnic Differences in Cannabis Use and Cannabis Use Disorder: Implications for Researchers</article-title>. <source>Current Addiction Reports</source>, <volume>9</volume>(<issue>1</issue>), <fpage>14</fpage>&#x02013;<lpage>22</lpage>. <pub-id pub-id-type="doi">10.1007/s40429-021-00404-5</pub-id><pub-id pub-id-type="pmid">35251891</pub-id>
</mixed-citation></ref><ref id="R35"><mixed-citation publication-type="webpage"><name><surname>Motivans</surname><given-names>M</given-names></name> (<year>2020</year>). <source>Federal Justice Statistics, 2015&#x02014;Statistical Tables</source>. <comment><ext-link xlink:href="https://bjs.ojp.gov/content/pub/pdf/fjs15st.pdf" ext-link-type="uri">https://bjs.ojp.gov/content/pub/pdf/fjs15st.pdf</ext-link></comment></mixed-citation></ref><ref id="R36"><mixed-citation publication-type="book"><collab>National Academies of Sciences, Engineering, and Medicine</collab>. (<year>2017</year>). <source>The Health Effects of Cannabis and Cannabinoids: The Current State of Evidence and Recommendations for Research</source>. <publisher-name>The National Academies Press</publisher-name>. <pub-id pub-id-type="doi">10.17226/24625</pub-id></mixed-citation></ref><ref id="R37"><mixed-citation publication-type="webpage"><name><surname>Oakland</surname><given-names>CA</given-names></name>, <source>Municipal Code &#x000a7; 5.80.010</source>. <comment>Retrieved</comment>
<date-in-citation>August 24, 2023</date-in-citation>, from <comment><ext-link xlink:href="https://library.municode.com/ca/oakland/codes/code_of_ordinances?nodeId=TIT5BUTAPERE_CH5.80MEADECADIPE" ext-link-type="uri">https://library.municode.com/ca/oakland/codes/code_of_ordinances?nodeId=TIT5BUTAPERE_CH5.80MEADECADIPE</ext-link></comment></mixed-citation></ref><ref id="R38"><mixed-citation publication-type="journal"><name><surname>Padon</surname><given-names>AA</given-names></name>, <name><surname>Rimal</surname><given-names>RN</given-names></name>, <name><surname>DeJong</surname><given-names>W</given-names></name>, <name><surname>Siegel</surname><given-names>M</given-names></name>, &#x00026; <name><surname>Jernigan</surname><given-names>D</given-names></name> (<year>2018</year>). <article-title>Assessing youth-appealing content in alcohol advertisements: Application of a Content Appealing to Youth (CAY) index</article-title>. <source>Health Communication</source>, <volume>33</volume>(<issue>2</issue>), <fpage>164</fpage>&#x02013;<lpage>173</lpage>. <pub-id pub-id-type="doi">10.1080/10410236.2016.1250331</pub-id><pub-id pub-id-type="pmid">27982709</pub-id>
</mixed-citation></ref><ref id="R39"><mixed-citation publication-type="journal"><name><surname>Padon</surname><given-names>A</given-names></name>, <name><surname>Young-Wolff</surname><given-names>K</given-names></name>, <name><surname>Avalos</surname><given-names>L</given-names></name>, &#x00026; <name><surname>Silver</surname><given-names>L</given-names></name> (<year>2022</year>). <article-title>Local Laws Regulating Cannabis in California Two Years Post Legalization: Assessing Incorporation of Lessons from Tobacco Control</article-title>. <source>Cannabis</source>, <volume>5</volume>(<issue>3</issue>), <comment>Article 3.</comment>
<pub-id pub-id-type="doi">10.26828/cannabis/2022.03.005</pub-id></mixed-citation></ref><ref id="R40"><mixed-citation publication-type="webpage"><name><surname>Padwa</surname><given-names>H</given-names></name>, <name><surname>Bass</surname><given-names>B</given-names></name>, <name><surname>Khurana</surname><given-names>D</given-names></name>, <name><surname>Joshi</surname><given-names>V</given-names></name>, <name><surname>Loya</surname><given-names>C</given-names></name>, <name><surname>Urada</surname><given-names>D</given-names></name>, <name><surname>Liccardo Pacula</surname><given-names>R</given-names></name>, &#x00026; <name><surname>Boustead</surname><given-names>A</given-names></name> (<year>2022</year>). <source>Assessing the Impact of Proposition 64 on Cannabis Use, Maladaptive Cannabis Use, and Cannabis Use Disorder Treatment Cannabis Use, Frequent Cannabis Use, Cannabis Use Disorders and Publicly Funded Cannabis Use Disorder Treatment in California, 2010&#x02013;2020</source>. <comment><ext-link xlink:href="https://cannabis.semel.ucla.edu/wpcontent/uploads/2022/03/UCLAISAP_Prop64CannabisHealthReport2022Feb_Amended.pdf" ext-link-type="uri">https://cannabis.semel.ucla.edu/wpcontent/uploads/2022/03/UCLAISAP_Prop64CannabisHealthReport2022Feb_Amended.pdf</ext-link></comment></mixed-citation></ref><ref id="R41"><mixed-citation publication-type="journal"><name><surname>Pasch</surname><given-names>KE</given-names></name>, <name><surname>Komro</surname><given-names>KA</given-names></name>, <name><surname>Perry</surname><given-names>CL</given-names></name>, <name><surname>Hearst</surname><given-names>MO</given-names></name>, &#x00026; <name><surname>Farbakhsh</surname><given-names>K</given-names></name> (<year>2009</year>). <article-title>Does outdoor alcohol advertising around elementary schools vary by the ethnicity of students in the school?</article-title>
<source>Ethnicity &#x00026; Health</source>, <volume>14</volume>(<issue>2</issue>), <fpage>225</fpage>&#x02013;<lpage>236</lpage>. <pub-id pub-id-type="doi">10.1080/13557850802307809</pub-id><pub-id pub-id-type="pmid">18821155</pub-id>
</mixed-citation></ref><ref id="R42"><mixed-citation publication-type="journal"><name><surname>Patterson</surname><given-names>KL</given-names></name>, <name><surname>Silverman</surname><given-names>RM</given-names></name>, <name><surname>Rehman-Veal</surname><given-names>A</given-names></name>, <name><surname>Yin</surname><given-names>L</given-names></name>, &#x00026; <name><surname>Wang</surname><given-names>S</given-names></name> (<year>2024</year>). <article-title>Building the Prison to Legal Drug Dealing Pipeline: A Comparative Analysis of Social Equity Policies in Recreational Cannabis Licensing</article-title>. <source>Societies</source>, <volume>14</volume>(<issue>6</issue>), <comment>Article 6.</comment>
<pub-id pub-id-type="doi">10.3390/soc14060088</pub-id></mixed-citation></ref><ref id="R43"><mixed-citation publication-type="journal"><name><surname>Paul</surname><given-names>SE</given-names></name>, <name><surname>Hatoum</surname><given-names>AS</given-names></name>, <name><surname>Fine</surname><given-names>JD</given-names></name>, <name><surname>Johnson</surname><given-names>EC</given-names></name>, <name><surname>Hansen</surname><given-names>I</given-names></name>, <name><surname>Karcher</surname><given-names>NR</given-names></name>, <name><surname>Moreau</surname><given-names>AL</given-names></name>, <name><surname>Bondy</surname><given-names>E</given-names></name>, <name><surname>Qu</surname><given-names>Y</given-names></name>, <name><surname>Carter</surname><given-names>EB</given-names></name>, <name><surname>Rogers</surname><given-names>CE</given-names></name>, <name><surname>Agrawal</surname><given-names>A</given-names></name>, <name><surname>Barch</surname><given-names>DM</given-names></name>, &#x00026; <name><surname>Bogdan</surname><given-names>R</given-names></name> (<year>2021</year>). <article-title>Associations Between Prenatal Cannabis Exposure and Childhood Outcomes: Results From the ABCD Study</article-title>. <source>JAMA Psychiatry</source>, <volume>78</volume>(<issue>1</issue>), <fpage>64</fpage>&#x02013;<lpage>76</lpage>. <pub-id pub-id-type="doi">10.1001/jamapsychiatry.2020.2902</pub-id><pub-id pub-id-type="pmid">32965490</pub-id>
</mixed-citation></ref><ref id="R44"><mixed-citation publication-type="journal"><name><surname>Perchoux</surname><given-names>C</given-names></name>, <name><surname>Chaix</surname><given-names>B</given-names></name>, <name><surname>Cummins</surname><given-names>S</given-names></name>, &#x00026; <name><surname>Kestens</surname><given-names>Y</given-names></name> (<year>2013</year>). <article-title>Conceptualization and measurement of environmental exposure in epidemiology: Accounting for activity space related to daily mobility</article-title>. <source>Health &#x00026; Place</source>, <volume>21</volume>, <fpage>86</fpage>&#x02013;<lpage>93</lpage>. <pub-id pub-id-type="doi">10.1016/j.healthplace.2013.01.005</pub-id><pub-id pub-id-type="pmid">23454664</pub-id>
</mixed-citation></ref><ref id="R45"><mixed-citation publication-type="journal"><name><surname>Phelan</surname><given-names>JC</given-names></name>, <name><surname>Link</surname><given-names>BG</given-names></name>, &#x00026; <name><surname>Tehranifar</surname><given-names>P</given-names></name> (<year>2010</year>). <article-title>Social conditions as fundamental causes of health inequalities: Theory, evidence, and policy implications</article-title>. <source>Journal of Health and Social Behavior</source>, <volume>51</volume>
<comment>Suppl</comment>, <fpage>S28</fpage>&#x02013;<lpage>40</lpage>. <pub-id pub-id-type="doi">10.1177/0022146510383498</pub-id><pub-id pub-id-type="pmid">20943581</pub-id>
</mixed-citation></ref><ref id="R46"><mixed-citation publication-type="journal"><name><surname>Phillips Pantin</surname><given-names>LE</given-names></name> (<year>2017</year>). <article-title>The Wealth Gap and the Racial Disparities in the Startup Ecosystem</article-title>. <source>Saint Louis University Law Journal</source>, <volume>62</volume>, <fpage>419</fpage>.</mixed-citation></ref><ref id="R47"><mixed-citation publication-type="journal"><name><surname>Ribisl</surname><given-names>KM</given-names></name>, <name><surname>Luke</surname><given-names>DA</given-names></name>, <name><surname>Bohannon</surname><given-names>DL</given-names></name>, <name><surname>Sorg</surname><given-names>AA</given-names></name>, &#x00026; <name><surname>Moreland-Russell</surname><given-names>S</given-names></name> (<year>2017</year>). <article-title>Reducing Disparities in Tobacco Retailer Density by Banning Tobacco Product Sales Near Schools</article-title>. <source>Nicotine &#x00026; Tobacco Research</source>, <volume>19</volume>(<issue>2</issue>), <fpage>239</fpage>&#x02013;<lpage>244</lpage>. <pub-id pub-id-type="doi">10.1093/ntr/ntw185</pub-id><pub-id pub-id-type="pmid">27613900</pub-id>
</mixed-citation></ref><ref id="R48"><mixed-citation publication-type="journal"><name><surname>Romley</surname><given-names>JA</given-names></name>, <name><surname>Cohen</surname><given-names>D</given-names></name>, <name><surname>Ringel</surname><given-names>J</given-names></name>, &#x00026; <name><surname>Sturm</surname><given-names>R</given-names></name> (<year>2007</year>). <article-title>Alcohol and Environmental Justice: The Density of Liquor Stores and Bars in Urban Neighborhoods in the United States</article-title>. <source>Journal of Studies on Alcohol and Drugs</source>, <volume>68</volume>(<issue>1</issue>), <fpage>48</fpage>&#x02013;<lpage>55</lpage>. <pub-id pub-id-type="doi">10.15288/jsad.2007.68.48</pub-id><pub-id pub-id-type="pmid">17149517</pub-id>
</mixed-citation></ref><ref id="R49"><mixed-citation publication-type="journal"><name><surname>Rubin</surname><given-names>V</given-names></name>, <name><surname>Ngo</surname><given-names>D</given-names></name>, <name><surname>Ross</surname><given-names>&#x000c1;</given-names></name>, <name><surname>Butler</surname><given-names>D</given-names></name>, &#x00026; <name><surname>Balaram</surname><given-names>N</given-names></name> (<year>2018</year>). <article-title>Counting a Diverse Nation: Disaggregating Data on Race and Ethnicity to Advance a Culture of Health</article-title>. <source>PolicyLink</source>. <comment><ext-link xlink:href="https://www.policylink.org/sites/default/files/Counting_a_Diverse_Nation_08_15_18.pdf" ext-link-type="uri">https://www.policylink.org/sites/default/files/Counting_a_Diverse_Nation_08_15_18.pdf</ext-link></comment></mixed-citation></ref><ref id="R50"><mixed-citation publication-type="journal"><name><surname>Silverman</surname><given-names>RM</given-names></name>, <name><surname>Patterson</surname><given-names>KL</given-names></name>, &#x00026; <name><surname>Williams</surname><given-names>SS</given-names></name> (<year>2023</year>). <article-title>Don&#x02019;t Fear the Reefer? The Social Equity and Community Planning Implications of New York&#x02019;s Recreational Cannabis Law on Underserved Communities</article-title>. <source>Journal of Policy Practice and Research</source>, <volume>4</volume>(<issue>2</issue>), <fpage>150</fpage>&#x02013;<lpage>167</lpage>. <pub-id pub-id-type="doi">10.1007/s42972-023-00077-6</pub-id></mixed-citation></ref><ref id="R51"><mixed-citation publication-type="journal"><name><surname>Singh</surname><given-names>GK</given-names></name> (<year>2003</year>). <article-title>Area Deprivation and Widening Inequalities in US Mortality, 1969&#x02013;1998</article-title>. <source>American Journal of Public Health</source>, <volume>93</volume>(<issue>7</issue>), <fpage>1137</fpage>&#x02013;<lpage>1143</lpage>. <pub-id pub-id-type="doi">10.2105/AJPH.93.7.1137</pub-id><pub-id pub-id-type="pmid">12835199</pub-id>
</mixed-citation></ref><ref id="R52"><mixed-citation publication-type="journal"><name><surname>Singh</surname><given-names>GK</given-names></name>, <name><surname>Azuine</surname><given-names>RE</given-names></name>, <name><surname>Siahpush</surname><given-names>M</given-names></name>, &#x00026; <name><surname>Kogan</surname><given-names>MD</given-names></name> (<year>2013</year>). <article-title>All-cause and cause-specific mortality among US youth: Socioeconomic and rural-urban disparities and international patterns</article-title>. <source>Journal of Urban Health: Bulletin of the New York Academy of Medicine</source>, <volume>90</volume>(<issue>3</issue>), <fpage>388</fpage>&#x02013;<lpage>405</lpage>. <pub-id pub-id-type="doi">10.1007/s11524-012-9744-0</pub-id><pub-id pub-id-type="pmid">22772771</pub-id>
</mixed-citation></ref><ref id="R53"><mixed-citation publication-type="book"><collab>StataCorp</collab>. (<year>2021</year>). <source>Stata Statistical Software (Release 17) [Computer software]</source>. <publisher-name>StataCorp LLC</publisher-name>.</mixed-citation></ref><ref id="R54"><mixed-citation publication-type="journal"><name><surname>Swaim</surname><given-names>RC</given-names></name>, &#x00026; <name><surname>Stanley</surname><given-names>LR</given-names></name> (<year>2018</year>). <article-title>Substance Use Among American Indian Youths on Reservations Compared With a National Sample of US Adolescents</article-title>. <source>JAMA Network Open</source>, <volume>1</volume>(<issue>1</issue>), <fpage>e180382</fpage>. <pub-id pub-id-type="doi">10.1001/jamanetworkopen.2018.0382</pub-id><pub-id pub-id-type="pmid">30646057</pub-id>
</mixed-citation></ref><ref id="R55"><mixed-citation publication-type="journal"><name><surname>Tan</surname><given-names>ASL</given-names></name>, <name><surname>Weinreich</surname><given-names>E</given-names></name>, <name><surname>Padon</surname><given-names>A</given-names></name>, <name><surname>Sanchez</surname><given-names>M</given-names></name>, <name><surname>Snyder</surname><given-names>KM</given-names></name>, <name><surname>Vasilyeva</surname><given-names>A</given-names></name>, <name><surname>Sandh</surname><given-names>S</given-names></name>, <name><surname>Goldmann</surname><given-names>E</given-names></name>, <name><surname>Goodman</surname><given-names>M</given-names></name>, &#x00026; <name><surname>Ompad</surname><given-names>DC</given-names></name> (<year>2022</year>). <article-title>Presence of Content Appealing to Youth on Cannabis-Infused Edibles Packaging</article-title>. <source>Substance Use &#x00026; Misuse</source>, <volume>0</volume>(<issue>0</issue>), <fpage>1</fpage>&#x02013;<lpage>5</lpage>. <pub-id pub-id-type="doi">10.1080/10826084.2022.2069268</pub-id></mixed-citation></ref><ref id="R56"><mixed-citation publication-type="webpage"><name><surname>Taxy</surname><given-names>S</given-names></name>, <name><surname>Samuels</surname><given-names>J</given-names></name>, &#x00026; <name><surname>Adams</surname><given-names>W</given-names></name> (<year>2015</year>). <source>Drug Offenders in Federal Prison: Estimates of Characteristics Based on Linked Data</source>. <comment><ext-link xlink:href="https://bjs.ojp.gov/content/pub/pdf/dofp12.pdf" ext-link-type="uri">https://bjs.ojp.gov/content/pub/pdf/dofp12.pdf</ext-link></comment></mixed-citation></ref><ref id="R57"><mixed-citation publication-type="journal"><name><surname>Trangenstein</surname><given-names>PJ</given-names></name>, <name><surname>Whitehill</surname><given-names>JM</given-names></name>, <name><surname>Jenkins</surname><given-names>MC</given-names></name>, <name><surname>Jernigan</surname><given-names>DH</given-names></name>, &#x00026; <name><surname>Moreno</surname><given-names>MA</given-names></name> (<year>2021</year>). <article-title>Cannabis Marketing and Problematic Cannabis Use Among Adolescents</article-title>. <source>Journal of Studies on Alcohol and Drugs</source>, <volume>82</volume>(<issue>2</issue>), <fpage>288</fpage>&#x02013;<lpage>296</lpage>. <pub-id pub-id-type="doi">10.15288/jsad.2021.82.288</pub-id><pub-id pub-id-type="pmid">33823976</pub-id>
</mixed-citation></ref><ref id="R58"><mixed-citation publication-type="webpage"><collab>UCLA Center for Health Policy Research</collab>. (n.d.). <source>AskCHIS 2018&#x02013;2020. Last time used marijuana compared by race [Dataset]</source>. <comment>Retrieved</comment>
<date-in-citation>June 28, 2022</date-in-citation>, from <comment><ext-link xlink:href="https://ask.chis.ucla.edu" ext-link-type="uri">https://ask.chis.ucla.edu</ext-link></comment></mixed-citation></ref><ref id="R59"><mixed-citation publication-type="journal"><article-title>University of Wisconsin School of Medicine and Public Health</article-title>. (<year>2019</year>). <source>2019 Area Deprivation Index v3.0</source>. <comment><ext-link xlink:href="https://www.neighborhoodatlas.medicine.wisc.edu" ext-link-type="uri">https://www.neighborhoodatlas.medicine.wisc.edu</ext-link></comment></mixed-citation></ref><ref id="R60"><mixed-citation publication-type="webpage"><collab>U.S. Census Bureau.</collab> (<year>2020</year>). <source>Understanding and Using American Community Survey Data: What All Data Users Need to Know</source>. <comment><ext-link xlink:href="https://www.census.gov/content/dam/Census/library/publications/2020/acs/acs_general_handbook_2020.pdf" ext-link-type="uri">https://www.census.gov/content/dam/Census/library/publications/2020/acs/acs_general_handbook_2020.pdf</ext-link></comment></mixed-citation></ref><ref id="R61"><mixed-citation publication-type="webpage"><collab>US Department of Commerce</collab>. (n.d.). <source>My Tribal Area</source>. <comment>Retrieved</comment>
<date-in-citation>July 3, 2024</date-in-citation>, from <comment><ext-link xlink:href="https://www.census.gov/tribal/?st=06" ext-link-type="uri">https://www.census.gov/tribal/?st=06</ext-link></comment></mixed-citation></ref><ref id="R62"><mixed-citation publication-type="webpage"><collab>US Department of Commerce</collab>. (<year>2019</year>). <source>The American Community Survey</source>. <comment><ext-link xlink:href="https://www2.census.gov/programs-surveys/acs/methodology/questionnaires/2019/quest19.pdf" ext-link-type="uri">https://www2.census.gov/programs-surveys/acs/methodology/questionnaires/2019/quest19.pdf</ext-link></comment></mixed-citation></ref><ref id="R63"><mixed-citation publication-type="journal"><name><surname>VanderWeele</surname><given-names>TJ</given-names></name>, &#x00026; <name><surname>Mathur</surname><given-names>MB</given-names></name> (<year>2019</year>). <article-title>Some desirable properties of the Bonferroni correction: Is the Bonferroni correction really so bad?</article-title>
<source>American Journal of Epidemiology</source>, <volume>188</volume>(<issue>3</issue>), <fpage>617</fpage>&#x02013;<lpage>618</lpage>. <pub-id pub-id-type="doi">10.1093/aje/kwy250</pub-id><pub-id pub-id-type="pmid">30452538</pub-id>
</mixed-citation></ref><ref id="R64"><mixed-citation publication-type="journal"><name><surname>Wilson</surname><given-names>RT</given-names></name>, &#x00026; <name><surname>Till</surname><given-names>BD</given-names></name> (<year>2012</year>). <article-title>Targeting of Outdoor Alcohol Advertising: A Study Across Ethnic and Income Groups</article-title>. <source>Journal of Current Issues &#x00026; Research in Advertising</source>, <volume>33</volume>(<issue>2</issue>), <fpage>267</fpage>&#x02013;<lpage>281</lpage>. <pub-id pub-id-type="doi">10.1080/10641734.2012.700800</pub-id></mixed-citation></ref><ref id="R65"><mixed-citation publication-type="journal"><name><surname>Young-Wolff</surname><given-names>KC</given-names></name>, <name><surname>Adams</surname><given-names>SR</given-names></name>, <name><surname>Padon</surname><given-names>A</given-names></name>, <name><surname>Silver</surname><given-names>LD</given-names></name>, <name><surname>Alexeeff</surname><given-names>SE</given-names></name>, <name><surname>Van Den Eeden</surname><given-names>SK</given-names></name>, &#x00026; <name><surname>Avalos</surname><given-names>LA</given-names></name> (<year>2021</year>). <article-title>Association of Cannabis Retailer Proximity and Density With Cannabis Use Among Pregnant Women in Northern California After Legalization of Cannabis for Recreational Use</article-title>. <source>JAMA Network Open</source>, <volume>4</volume>(<issue>3</issue>), <fpage>e210694</fpage>. <pub-id pub-id-type="doi">10.1001/jamanetworkopen.2021.0694</pub-id><pub-id pub-id-type="pmid">33662131</pub-id>
</mixed-citation></ref></ref-list></back><floats-group><fig position="float" id="F1"><label>Figure 1.</label><caption><p id="P49">Percentage of Californians living where cannabis retail sales allowed (January 1, 2020), by demographics</p><p id="P50">Note: 95% confidence intervals are indicated. Advantage is a neighborhood measure of socioeconomic status defined by Area Deprivation Index (ADI). &#x0201c;Disadvantaged&#x0201d; corresponds to neighborhoods with ADI &#x02265;6<sup>th</sup> decile and &#x0201c;advantaged&#x0201d; to neighborhoods with ADI &#x02264;5<sup>th</sup> decile. Latinx=Latino/a/x or Hispanic; Asian=non-Latinx Asian; Black=non-Latinx Black; White=non-Latinx white.</p></caption><graphic xlink:href="nihms-2014736-f0001" position="float"/></fig><fig position="float" id="F2"><label>Figure 2.</label><caption><p id="P51">Percentage of Californians covered by cannabis policies (January 1, 2020), by demographics</p><p id="P52">Note: 95% confidence intervals are indicated. Advantage is a neighborhood measure of socioeconomic status defined by Area Deprivation Index (ADI). &#x0201c;Disadvantaged&#x0201d; corresponds to neighborhoods with ADI &#x02265;6<sup>th</sup> decile and &#x0201c;advantaged&#x0201d; to neighborhoods with ADI &#x02264;5<sup>th</sup> decile. Latinx=Latino/a/x or Hispanic; Asian=non-Latinx Asian; Black=non-Latinx Black; white=non-Latinx white. Denominator of (a) and (b) was the full sample; denominator of (c) and (d) was among those in the subpopulation living in a jurisdiction allowing cannabis retail sales; and denominator of (e) and (f) among those living in a jurisdiction allowing cannabis storefronts.</p></caption><graphic xlink:href="nihms-2014736-f0002" position="float"/></fig><table-wrap position="float" id="T1"><label>Table 1.</label><caption><p id="P53">Demographic characteristics of California analytic sample</p></caption><table frame="hsides" rules="groups"><colgroup span="1"><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/></colgroup><thead><tr style="border-bottom: solid 1px"><th align="left" valign="middle" rowspan="1" colspan="1"/><th colspan="2" align="center" valign="middle" rowspan="1">Population</th><th colspan="2" align="center" valign="middle" rowspan="1">Percentage</th></tr><tr style="border-bottom: solid 1px"><th align="left" valign="middle" rowspan="1" colspan="1"/><th align="center" valign="middle" rowspan="1" colspan="1">Estimate</th><th align="center" valign="middle" rowspan="1" colspan="1">Margin of Error<sup><xref rid="TFN4" ref-type="table-fn">a</xref></sup></th><th align="center" valign="middle" rowspan="1" colspan="1">Estimate</th><th align="center" valign="middle" rowspan="1" colspan="1">Margin of Error<sup><xref rid="TFN4" ref-type="table-fn">a</xref></sup></th></tr></thead><tbody><tr style="border-bottom: solid 1px"><td align="left" valign="middle" rowspan="1" colspan="1">California</td><td align="center" valign="middle" rowspan="1" colspan="1">39,283,497</td><td align="center" valign="middle" rowspan="1" colspan="1">&#x02013;<sup><xref rid="TFN5" ref-type="table-fn">b</xref></sup></td><td align="center" valign="middle" rowspan="1" colspan="1">100</td><td align="center" valign="middle" rowspan="1" colspan="1">&#x02013;<sup><xref rid="TFN5" ref-type="table-fn">b</xref></sup></td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">
<bold>California (sample)</bold>
</td><td align="center" valign="middle" rowspan="1" colspan="1">38,638,060</td><td align="center" valign="middle" rowspan="1" colspan="1">73,866</td><td align="center" valign="middle" rowspan="1" colspan="1">98.4</td><td align="center" valign="middle" rowspan="1" colspan="1">0.2</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">Subpopulations</td><td align="center" valign="middle" rowspan="1" colspan="1"/><td align="center" valign="middle" rowspan="1" colspan="1"/><td align="center" valign="middle" rowspan="1" colspan="1"/><td align="center" valign="middle" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">
<bold>Neighborhood Socioeconomic Advantage</bold>
</td><td align="center" valign="middle" rowspan="1" colspan="1"/><td align="center" valign="middle" rowspan="1" colspan="1"/><td align="center" valign="middle" rowspan="1" colspan="1"/><td align="center" valign="middle" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;Disadvantaged</td><td align="center" valign="middle" rowspan="1" colspan="1">20,051,796</td><td align="center" valign="middle" rowspan="1" colspan="1">56,918</td><td align="center" valign="middle" rowspan="1" colspan="1">51.9</td><td align="center" valign="middle" rowspan="1" colspan="1">0.1</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;Advantaged</td><td align="center" valign="middle" rowspan="1" colspan="1">18,586,264</td><td align="center" valign="middle" rowspan="1" colspan="1">47,080</td><td align="center" valign="middle" rowspan="1" colspan="1">48.1</td><td align="center" valign="middle" rowspan="1" colspan="1">0.1</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">
<bold>Race and ethnicity</bold>
</td><td align="center" valign="middle" rowspan="1" colspan="1"/><td align="center" valign="middle" rowspan="1" colspan="1"/><td align="center" valign="middle" rowspan="1" colspan="1"/><td align="center" valign="middle" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;Asian</td><td align="center" valign="middle" rowspan="1" colspan="1">5,528,891</td><td align="center" valign="middle" rowspan="1" colspan="1">29,560</td><td align="center" valign="middle" rowspan="1" colspan="1">14.3</td><td align="center" valign="middle" rowspan="1" colspan="1">0.1</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;Black</td><td align="center" valign="middle" rowspan="1" colspan="1">2,090,728</td><td align="center" valign="middle" rowspan="1" colspan="1">21,250</td><td align="center" valign="middle" rowspan="1" colspan="1">5.4</td><td align="center" valign="middle" rowspan="1" colspan="1">0.1</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;Latinx</td><td align="center" valign="middle" rowspan="1" colspan="1">15,115,873</td><td align="center" valign="middle" rowspan="1" colspan="1">&#x02013;<sup><xref rid="TFN5" ref-type="table-fn">b</xref></sup></td><td align="center" valign="middle" rowspan="1" colspan="1">39.1</td><td align="center" valign="middle" rowspan="1" colspan="1">&#x02013;<sup><xref rid="TFN5" ref-type="table-fn">b</xref></sup></td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;White</td><td align="center" valign="middle" rowspan="1" colspan="1">14,367,887</td><td align="center" valign="middle" rowspan="1" colspan="1">40,560</td><td align="center" valign="middle" rowspan="1" colspan="1">37.2</td><td align="center" valign="middle" rowspan="1" colspan="1">0.1</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">
<bold>Neighborhood Socioeconomic Advantage by Race and Ethnicity</bold>
</td><td align="center" valign="middle" rowspan="1" colspan="1"/><td align="center" valign="middle" rowspan="1" colspan="1"/><td align="center" valign="middle" rowspan="1" colspan="1"/><td align="center" valign="middle" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">
<bold>&#x02003;Asian</bold>
</td><td align="center" valign="middle" rowspan="1" colspan="1"/><td align="center" valign="middle" rowspan="1" colspan="1"/><td align="center" valign="middle" rowspan="1" colspan="1"/><td align="center" valign="middle" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1"><bold>&#x02003;&#x02003;</bold>Disadvantaged</td><td align="center" valign="middle" rowspan="1" colspan="1">1,669,771</td><td align="center" valign="middle" rowspan="1" colspan="1">17,279</td><td align="center" valign="middle" rowspan="1" colspan="1">30.2</td><td align="center" valign="middle" rowspan="1" colspan="1">0.2</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1"><bold>&#x02003;&#x02003;</bold>Advantaged</td><td align="center" valign="middle" rowspan="1" colspan="1">3,859,120</td><td align="center" valign="middle" rowspan="1" colspan="1">23,984</td><td align="center" valign="middle" rowspan="1" colspan="1">69.8</td><td align="center" valign="middle" rowspan="1" colspan="1">0.2</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">
<bold>&#x02003;Black</bold>
</td><td align="center" valign="middle" rowspan="1" colspan="1"/><td align="center" valign="middle" rowspan="1" colspan="1"/><td align="center" valign="middle" rowspan="1" colspan="1"/><td align="center" valign="middle" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1"><bold>&#x02003;&#x02003;</bold>Disadvantaged</td><td align="center" valign="middle" rowspan="1" colspan="1">1,323,883</td><td align="center" valign="middle" rowspan="1" colspan="1">17,208</td><td align="center" valign="middle" rowspan="1" colspan="1">63.3</td><td align="center" valign="middle" rowspan="1" colspan="1">0.4</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1"><bold>&#x02003;&#x02003;</bold>Advantaged</td><td align="center" valign="middle" rowspan="1" colspan="1">766,845</td><td align="center" valign="middle" rowspan="1" colspan="1">12,469</td><td align="center" valign="middle" rowspan="1" colspan="1">36.7</td><td align="center" valign="middle" rowspan="1" colspan="1">0.4</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">
<bold>&#x02003;Latinx</bold>
</td><td align="center" valign="middle" rowspan="1" colspan="1"/><td align="center" valign="middle" rowspan="1" colspan="1"/><td align="center" valign="middle" rowspan="1" colspan="1"/><td align="center" valign="middle" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1"><bold>&#x02003;&#x02003;</bold>Disadvantaged</td><td align="center" valign="middle" rowspan="1" colspan="1">10,465,583</td><td align="center" valign="middle" rowspan="1" colspan="1">48,482</td><td align="center" valign="middle" rowspan="1" colspan="1">69.2</td><td align="center" valign="middle" rowspan="1" colspan="1">0.2</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1"><bold>&#x02003;&#x02003;</bold>Advantaged</td><td align="center" valign="middle" rowspan="1" colspan="1">4,650,290</td><td align="center" valign="middle" rowspan="1" colspan="1">31,690</td><td align="center" valign="middle" rowspan="1" colspan="1">30.8</td><td align="center" valign="middle" rowspan="1" colspan="1">0.1</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">
<bold>&#x02003;White</bold>
</td><td align="center" valign="middle" rowspan="1" colspan="1"/><td align="center" valign="middle" rowspan="1" colspan="1"/><td align="center" valign="middle" rowspan="1" colspan="1"/><td align="center" valign="middle" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1"><bold>&#x02003;&#x02003;</bold>Disadvantaged</td><td align="center" valign="middle" rowspan="1" colspan="1">5,888,915</td><td align="center" valign="middle" rowspan="1" colspan="1">27,531</td><td align="center" valign="middle" rowspan="1" colspan="1">40.1</td><td align="center" valign="middle" rowspan="1" colspan="1">0.1</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1"><bold>&#x02003;&#x02003;</bold>Advantaged</td><td align="center" valign="middle" rowspan="1" colspan="1">8,478,972</td><td align="center" valign="middle" rowspan="1" colspan="1">29,785</td><td align="center" valign="middle" rowspan="1" colspan="1">59.0</td><td align="center" valign="middle" rowspan="1" colspan="1">0.1</td></tr></tbody></table><table-wrap-foot><fn id="TFN1"><p id="P54">Source: 2015&#x02013;2019 American Community Survey (ACS) 5-year Estimates</p></fn><fn id="TFN2"><p id="P55">Note: Neighborhood socioeconomic advantage was defined by Area Deprivation Index (ADI), a composite measure of 17 census block group-level characteristics. &#x0201c;Disadvantaged&#x0201d; corresponds to neighborhoods with ADI &#x02265;6<sup>th</sup> decile and &#x0201c;advantaged&#x0201d; to neighborhoods with ADI &#x02264;5<sup>th</sup> decile.</p></fn><fn id="TFN3"><p id="P56">Latinx=Latino/a/x or Hispanic; Asian=non-Latinx Asian; Black=non-Latinx Black; White=non-Latinx white.</p></fn><fn id="TFN4"><label>a</label><p id="P57">Margin of error at a 95% confidence level</p></fn><fn id="TFN5"><label>b</label><p id="P58">Estimate was controlled to be equal to a fixed value according to ACS methodology, so it has no sampling error.</p></fn></table-wrap-foot></table-wrap><table-wrap position="float" id="T2"><label>Table 2.</label><caption><p id="P59">Percentage of California jurisdictions and subgroup populations covered by specific cannabis policies, January 1, 2020.</p></caption><table frame="hsides" rules="groups"><colgroup span="1"><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/></colgroup><thead><tr style="border-bottom: solid 1px"><th align="left" valign="top" rowspan="1" colspan="1"/><th colspan="3" align="center" valign="top" style="border-right: solid 1px" rowspan="1">All jurisdictions (n=539)</th><th colspan="2" align="center" valign="top" style="border-right: solid 1px" rowspan="1">Jurisdictions allowing retail (n=273)</th><th colspan="2" align="center" valign="top" rowspan="1">Jurisdictions allowing storefronts (n=151)</th></tr><tr><th align="center" valign="middle" rowspan="1" colspan="1"/><th align="center" valign="middle" rowspan="1" colspan="1">Allows storefronts</th><th align="center" valign="middle" rowspan="1" colspan="1">Allows delivery</th><th align="center" valign="middle" style="border-right: solid 1px" rowspan="1" colspan="1">Allows retail sales</th><th align="center" valign="middle" rowspan="1" colspan="1">Enhanced ad restrictions</th><th align="center" valign="middle" style="border-right: solid 1px" rowspan="1" colspan="1">Any equity provisions</th><th align="center" valign="middle" rowspan="1" colspan="1">Robust storefront cap</th><th align="center" valign="middle" rowspan="1" colspan="1">Expanded youth-serving site buffers</th></tr></thead><tbody><tr style="border-bottom: solid 1px"><td align="left" valign="top" rowspan="1" colspan="1"># Jurisdictions (% Jurisdictions)</td><td align="center" valign="middle" rowspan="1" colspan="1">151 (28.0)</td><td align="center" valign="middle" rowspan="1" colspan="1">266 (49.4)</td><td align="center" valign="middle" style="border-right: solid 1px" rowspan="1" colspan="1">273 (50.7)</td><td align="center" valign="middle" rowspan="1" colspan="1">100 (36.6)</td><td align="center" valign="middle" style="border-right: solid 1px" rowspan="1" colspan="1">14 (5.3)</td><td align="center" valign="middle" rowspan="1" colspan="1">36 (24.0)</td><td align="center" valign="middle" rowspan="1" colspan="1">77 (51.0)</td></tr><tr style="border-bottom: solid 1px"><td align="left" valign="bottom" rowspan="1" colspan="1">% Population<sup><xref rid="TFN7" ref-type="table-fn">a</xref></sup> (95% CI)</td><td align="center" valign="middle" rowspan="1" colspan="1"/><td align="center" valign="middle" rowspan="1" colspan="1"/><td align="center" valign="middle" style="border-right: solid 1px" rowspan="1" colspan="1"/><td align="center" valign="middle" rowspan="1" colspan="1"/><td align="center" valign="middle" style="border-right: solid 1px" rowspan="1" colspan="1"/><td align="center" valign="middle" rowspan="1" colspan="1"/><td align="center" valign="middle" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="bottom" rowspan="1" colspan="1">Total population</td><td align="center" valign="middle" rowspan="1" colspan="1">46.1 (46.0,46.2)</td><td align="center" valign="middle" rowspan="1" colspan="1">56.7 (56.6,56.7)</td><td align="center" valign="middle" style="border-right: solid 1px" rowspan="1" colspan="1">58.1 (58.0,58.2)</td><td align="center" valign="middle" rowspan="1" colspan="1">56.6 (56.4,56.7)</td><td align="center" valign="middle" style="border-right: solid 1px" rowspan="1" colspan="1">37.5 (37.4,37.6)</td><td align="center" valign="middle" rowspan="1" colspan="1">40.3 (40.1,40.4)</td><td align="center" valign="middle" rowspan="1" colspan="1">75.7 (75.6,75.8)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Subpopulations</td><td align="center" valign="middle" rowspan="1" colspan="1"/><td align="center" valign="middle" rowspan="1" colspan="1"/><td align="center" valign="middle" style="border-right: solid 1px" rowspan="1" colspan="1"/><td align="center" valign="middle" rowspan="1" colspan="1"/><td align="center" valign="middle" style="border-right: solid 1px" rowspan="1" colspan="1"/><td align="center" valign="middle" rowspan="1" colspan="1"/><td align="center" valign="middle" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="bottom" rowspan="1" colspan="1">
<bold>Neighborhood socioeconomic advantage</bold>
</td><td align="center" valign="middle" rowspan="1" colspan="1"/><td align="center" valign="middle" rowspan="1" colspan="1"/><td align="center" valign="middle" style="border-right: solid 1px" rowspan="1" colspan="1"/><td align="center" valign="middle" rowspan="1" colspan="1"/><td align="center" valign="middle" style="border-right: solid 1px" rowspan="1" colspan="1"/><td align="center" valign="middle" rowspan="1" colspan="1"/><td align="center" valign="middle" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="bottom" rowspan="1" colspan="1">&#x02003;Q1 (Least advantage)</td><td align="center" valign="middle" rowspan="1" colspan="1">44.1 (43.9,44.3)</td><td align="center" valign="middle" rowspan="1" colspan="1">49.9 (49.7,50.2)</td><td align="center" valign="middle" style="border-right: solid 1px" rowspan="1" colspan="1">53.9 (53.7,54.2)</td><td align="center" valign="middle" rowspan="1" colspan="1">52.1 (51.8,52.4)</td><td align="center" valign="middle" style="border-right: solid 1px" rowspan="1" colspan="1">27.1 (26.8,27.4)</td><td align="center" valign="middle" rowspan="1" colspan="1">47.6 (47.2,47.9)</td><td align="center" valign="middle" rowspan="1" colspan="1">68.2 (67.8,68.5)</td></tr><tr><td align="left" valign="bottom" rowspan="1" colspan="1">&#x02003;Q2</td><td align="center" valign="middle" rowspan="1" colspan="1">47.5 (47.3,47.7)</td><td align="center" valign="middle" rowspan="1" colspan="1">53.7 (53.4,53.9)</td><td align="center" valign="middle" style="border-right: solid 1px" rowspan="1" colspan="1">56.4 (56.2,56.6)</td><td align="center" valign="middle" rowspan="1" colspan="1">65.9 (65.6,66.1)</td><td align="center" valign="middle" style="border-right: solid 1px" rowspan="1" colspan="1">35.3 (35.1,35.6)</td><td align="center" valign="middle" rowspan="1" colspan="1">35.8 (35.4,36.1)</td><td align="center" valign="middle" rowspan="1" colspan="1">77.5 (77.3,77.8)</td></tr><tr><td align="left" valign="bottom" rowspan="1" colspan="1">&#x02003;Q3</td><td align="center" valign="middle" rowspan="1" colspan="1">47.4 (47.2,47.6)</td><td align="center" valign="middle" rowspan="1" colspan="1">56.5 (56.3,56.7)</td><td align="center" valign="middle" style="border-right: solid 1px" rowspan="1" colspan="1">56.8 (56.6,57.1)</td><td align="center" valign="middle" rowspan="1" colspan="1">66.6 (66.4,66.9)</td><td align="center" valign="middle" style="border-right: solid 1px" rowspan="1" colspan="1">35.8 (35.6,36.1)</td><td align="center" valign="middle" rowspan="1" colspan="1">37.1 (36.8,37.4)</td><td align="center" valign="middle" rowspan="1" colspan="1">84.9 (84.7,85.1)</td></tr><tr><td align="left" valign="bottom" rowspan="1" colspan="1">&#x02003;Q4</td><td align="center" valign="middle" rowspan="1" colspan="1">45.7 (45.5,45.9)</td><td align="center" valign="middle" rowspan="1" colspan="1">57.4 (57.2,57.6)</td><td align="center" valign="middle" style="border-right: solid 1px" rowspan="1" colspan="1">57.5 (57.3,57.7)</td><td align="center" valign="middle" rowspan="1" colspan="1">59.0 (58.8,59.3)</td><td align="center" valign="middle" style="border-right: solid 1px" rowspan="1" colspan="1">42.1 (41.9,42.4)</td><td align="center" valign="middle" rowspan="1" colspan="1">43.7 (43.4,44.0)</td><td align="center" valign="middle" rowspan="1" colspan="1">79.2 (79.0,79.5)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Q5 (Most advantage)</td><td align="center" valign="middle" rowspan="1" colspan="1">45.8 (45.6,46.0)</td><td align="center" valign="middle" rowspan="1" colspan="1">67.0 (66.9,67.2)</td><td align="center" valign="middle" style="border-right: solid 1px" rowspan="1" colspan="1">67.0 (66.9,67.2)</td><td align="center" valign="middle" rowspan="1" colspan="1">38.9 (38.6,39.1)</td><td align="center" valign="middle" style="border-right: solid 1px" rowspan="1" colspan="1">46.5 (46.2,46.7)</td><td align="center" valign="middle" rowspan="1" colspan="1">38.1 (37.8,38.4)</td><td align="center" valign="middle" rowspan="1" colspan="1">66.5 (66.2,66.7)</td></tr><tr><td align="left" valign="bottom" rowspan="1" colspan="1">
<bold>Race and ethnicity</bold>
</td><td align="center" valign="middle" rowspan="1" colspan="1"/><td align="center" valign="middle" rowspan="1" colspan="1"/><td align="center" valign="middle" style="border-right: solid 1px" rowspan="1" colspan="1"/><td align="center" valign="middle" rowspan="1" colspan="1"/><td align="center" valign="middle" style="border-right: solid 1px" rowspan="1" colspan="1"/><td align="center" valign="middle" rowspan="1" colspan="1"/><td align="center" valign="middle" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="bottom" rowspan="1" colspan="1">&#x02003;Asian</td><td align="center" valign="middle" rowspan="1" colspan="1">44.3 (44.1,44.6)</td><td align="center" valign="middle" rowspan="1" colspan="1">55.0 (54.7,55.2)</td><td align="center" valign="middle" style="border-right: solid 1px" rowspan="1" colspan="1">55.5 (55.3,55.8)</td><td align="center" valign="middle" rowspan="1" colspan="1">47.3 (47.0,47.7)</td><td align="center" valign="middle" style="border-right: solid 1px" rowspan="1" colspan="1">47.9 (47.5,48.2)</td><td align="center" valign="middle" rowspan="1" colspan="1">47.3 (46.8,47.7)</td><td align="center" valign="middle" rowspan="1" colspan="1">77.0 (76.7,77.4)</td></tr><tr><td align="left" valign="bottom" rowspan="1" colspan="1">&#x02003;Black</td><td align="center" valign="middle" rowspan="1" colspan="1">56.6 (56.1,57.1)</td><td align="center" valign="middle" rowspan="1" colspan="1">61.8 (61.3,62.3)</td><td align="center" valign="middle" style="border-right: solid 1px" rowspan="1" colspan="1">64.1 (63.7,64.6)</td><td align="center" valign="middle" rowspan="1" colspan="1">61.8 (61.2,62.4)</td><td align="center" valign="middle" style="border-right: solid 1px" rowspan="1" colspan="1">52.1 (51.5,52.6)</td><td align="center" valign="middle" rowspan="1" colspan="1">39.2 (38.5,39.8)</td><td align="center" valign="middle" rowspan="1" colspan="1">74.1 (73.5,74.7)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Latinx</td><td align="center" valign="middle" rowspan="1" colspan="1">48.3 (48.1,48.5)</td><td align="center" valign="middle" rowspan="1" colspan="1">56.6 (56.4,56.8)</td><td align="center" valign="middle" style="border-right: solid 1px" rowspan="1" colspan="1">58.5 (58.4,58.7)</td><td align="center" valign="middle" rowspan="1" colspan="1">64.2 (64.0,64.4)</td><td align="center" valign="middle" style="border-right: solid 1px" rowspan="1" colspan="1">38.0 (37.8,38.2)</td><td align="center" valign="middle" rowspan="1" colspan="1">37.5 (37.2,37.8)</td><td align="center" valign="middle" rowspan="1" colspan="1">77.3 (77.1,77.6)</td></tr><tr><td align="left" valign="bottom" rowspan="1" colspan="1">&#x02003;White</td><td align="center" valign="middle" rowspan="1" colspan="1">42.9 (42.8,43.1)</td><td align="center" valign="middle" rowspan="1" colspan="1">56.4 (56.3,56.6)</td><td align="center" valign="middle" style="border-right: solid 1px" rowspan="1" colspan="1">57.6 (57.5,57.8)</td><td align="center" valign="middle" rowspan="1" colspan="1">51.7 (51.5,51.9)</td><td align="center" valign="middle" style="border-right: solid 1px" rowspan="1" colspan="1">31.0 (30.8,31.2)</td><td align="center" valign="middle" rowspan="1" colspan="1">40.7 (40.5,40.9)</td><td align="center" valign="middle" rowspan="1" colspan="1">73.7 (73.5,73.9)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">
<bold>Neighborhood Socioeconomic</bold>
</td><td align="center" valign="middle" rowspan="1" colspan="1"/><td align="center" valign="middle" rowspan="1" colspan="1"/><td align="center" valign="middle" style="border-right: solid 1px" rowspan="1" colspan="1"/><td align="center" valign="middle" rowspan="1" colspan="1"/><td align="center" valign="middle" style="border-right: solid 1px" rowspan="1" colspan="1"/><td align="center" valign="middle" rowspan="1" colspan="1"/><td align="center" valign="middle" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">
<bold>Advantage by Race and Ethnicity</bold>
</td><td align="center" valign="middle" rowspan="1" colspan="1"/><td align="center" valign="middle" rowspan="1" colspan="1"/><td align="center" valign="middle" style="border-right: solid 1px" rowspan="1" colspan="1"/><td align="center" valign="middle" rowspan="1" colspan="1"/><td align="center" valign="middle" style="border-right: solid 1px" rowspan="1" colspan="1"/><td align="center" valign="middle" rowspan="1" colspan="1"/><td align="center" valign="middle" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Asian</td><td align="center" valign="middle" rowspan="1" colspan="1"/><td align="center" valign="middle" rowspan="1" colspan="1"/><td align="center" valign="middle" style="border-right: solid 1px" rowspan="1" colspan="1"/><td align="center" valign="middle" rowspan="1" colspan="1"/><td align="center" valign="middle" style="border-right: solid 1px" rowspan="1" colspan="1"/><td align="center" valign="middle" rowspan="1" colspan="1"/><td align="center" valign="middle" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="bottom" rowspan="1" colspan="1">&#x02003;&#x02003;Q1 (Least advantage)</td><td align="center" valign="middle" rowspan="1" colspan="1">54.7 (53.7,55.8)</td><td align="center" valign="middle" rowspan="1" colspan="1">59.6 (58.5,60.6)</td><td align="center" valign="middle" style="border-right: solid 1px" rowspan="1" colspan="1">62.2 (61.2,63.2)</td><td align="center" valign="middle" rowspan="1" colspan="1">54.7 (53.3,56.0)</td><td align="center" valign="middle" style="border-right: solid 1px" rowspan="1" colspan="1">56.7 (55.3,58.1)</td><td align="center" valign="middle" rowspan="1" colspan="1">55.7 (54.3,57.2)</td><td align="center" valign="middle" rowspan="1" colspan="1">85.3 (84.1,86.4)</td></tr><tr><td align="left" valign="bottom" rowspan="1" colspan="1">&#x02003;&#x02003;Q2</td><td align="center" valign="middle" rowspan="1" colspan="1">52.1 (51.3,53.0)</td><td align="center" valign="middle" rowspan="1" colspan="1">56.2 (55.4,57.0)</td><td align="center" valign="middle" style="border-right: solid 1px" rowspan="1" colspan="1">58.7 (57.9,59.4)</td><td align="center" valign="middle" rowspan="1" colspan="1">66.3 (65.3,67.3)</td><td align="center" valign="middle" style="border-right: solid 1px" rowspan="1" colspan="1">44.3 (43.3,45.3)</td><td align="center" valign="middle" rowspan="1" colspan="1">43.5 (42.3,44.6)</td><td align="center" valign="middle" rowspan="1" colspan="1">81.0 (80.2,81.8)</td></tr><tr><td align="left" valign="bottom" rowspan="1" colspan="1">&#x02003;&#x02003;Q3</td><td align="center" valign="middle" rowspan="1" colspan="1">45.0 (44.4,45.5)</td><td align="center" valign="middle" rowspan="1" colspan="1">52.5 (51.9,53.1)</td><td align="center" valign="middle" style="border-right: solid 1px" rowspan="1" colspan="1">52.8 (52.2,53.4)</td><td align="center" valign="middle" rowspan="1" colspan="1">63.3 (62.5,64.1)</td><td align="center" valign="middle" style="border-right: solid 1px" rowspan="1" colspan="1">37.5 (36.8,38.2)</td><td align="center" valign="middle" rowspan="1" colspan="1">45.2 (44.2,46.2)</td><td align="center" valign="middle" rowspan="1" colspan="1">85.7 (85.1,86.3)</td></tr><tr><td align="left" valign="bottom" rowspan="1" colspan="1">&#x02003;&#x02003;Q4</td><td align="center" valign="middle" rowspan="1" colspan="1">41.3 (40.7,41.8)</td><td align="center" valign="middle" rowspan="1" colspan="1">50.7 (50.2,51.2)</td><td align="center" valign="middle" style="border-right: solid 1px" rowspan="1" colspan="1">50.7 (50.2,51.2)</td><td align="center" valign="middle" rowspan="1" colspan="1">47.7 (46.9,48.4)</td><td align="center" valign="middle" style="border-right: solid 1px" rowspan="1" colspan="1">49.8 (49.1,50.4)</td><td align="center" valign="middle" rowspan="1" colspan="1">48.9 (48.0,49.8)</td><td align="center" valign="middle" rowspan="1" colspan="1">78.7 (78.1,79.4)</td></tr><tr><td align="left" valign="bottom" rowspan="1" colspan="1">&#x02003;&#x02003;Q5 (Most advantage)</td><td align="center" valign="middle" rowspan="1" colspan="1">40.7 (40.2,41.1)</td><td align="center" valign="middle" rowspan="1" colspan="1">58.7 (58.3,59.2)</td><td align="center" valign="middle" style="border-right: solid 1px" rowspan="1" colspan="1">58.7 (58.3,59.2)</td><td align="center" valign="middle" rowspan="1" colspan="1">27.1 (26.6,27.6)</td><td align="center" valign="middle" style="border-right: solid 1px" rowspan="1" colspan="1">52.0 (51.4,52.7)</td><td align="center" valign="middle" rowspan="1" colspan="1">46.3 (45.6,47.0)</td><td align="center" valign="middle" rowspan="1" colspan="1">63.6 (62.9,64.2)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Black</td><td align="center" valign="middle" rowspan="1" colspan="1"/><td align="center" valign="middle" rowspan="1" colspan="1"/><td align="center" valign="middle" style="border-right: solid 1px" rowspan="1" colspan="1"/><td align="center" valign="middle" rowspan="1" colspan="1"/><td align="center" valign="middle" style="border-right: solid 1px" rowspan="1" colspan="1"/><td align="center" valign="middle" rowspan="1" colspan="1"/><td align="center" valign="middle" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="bottom" rowspan="1" colspan="1">&#x02003;&#x02003;Q1 (Least advantage)</td><td align="center" valign="middle" rowspan="1" colspan="1">50.1 (49.0,51.1)</td><td align="center" valign="middle" rowspan="1" colspan="1">53.0 (51.8,54.1)</td><td align="center" valign="middle" style="border-right: solid 1px" rowspan="1" colspan="1">57.2 (56.1,58.4)</td><td align="center" valign="middle" rowspan="1" colspan="1">61.8 (60.6,63.1)</td><td align="center" valign="middle" style="border-right: solid 1px" rowspan="1" colspan="1">44.9 (43.6,46.2)</td><td align="center" valign="middle" rowspan="1" colspan="1">46.4 (44.8,48.0)</td><td align="center" valign="middle" rowspan="1" colspan="1">69.6 (68.2,71.0)</td></tr><tr><td align="left" valign="bottom" rowspan="1" colspan="1">&#x02003;&#x02003;Q2</td><td align="center" valign="middle" rowspan="1" colspan="1">57.8 (56.8,58.7)</td><td align="center" valign="middle" rowspan="1" colspan="1">59.2 (58.3,60.2)</td><td align="center" valign="middle" style="border-right: solid 1px" rowspan="1" colspan="1">63.7 (62.8,64.7)</td><td align="center" valign="middle" rowspan="1" colspan="1">70.0 (68.9,71.1)</td><td align="center" valign="middle" style="border-right: solid 1px" rowspan="1" colspan="1">51.3 (50.2,52.4)</td><td align="center" valign="middle" rowspan="1" colspan="1">34.6 (33.4,35.8)</td><td align="center" valign="middle" rowspan="1" colspan="1">76.1 (75.1,77.2)</td></tr><tr><td align="left" valign="bottom" rowspan="1" colspan="1">&#x02003;&#x02003;Q3</td><td align="center" valign="middle" rowspan="1" colspan="1">58.8 (57.8,59.8)</td><td align="center" valign="middle" rowspan="1" colspan="1">65.7 (64.8,66.7)</td><td align="center" valign="middle" style="border-right: solid 1px" rowspan="1" colspan="1">66.0 (65.1,67.0)</td><td align="center" valign="middle" rowspan="1" colspan="1">62.8 (61.5,64.1)</td><td align="center" valign="middle" style="border-right: solid 1px" rowspan="1" colspan="1">50.2 (49.1,51.4)</td><td align="center" valign="middle" rowspan="1" colspan="1">38.9 (37.5,40.3)</td><td align="center" valign="middle" rowspan="1" colspan="1">81.4 (80.4,82.5)</td></tr><tr><td align="left" valign="bottom" rowspan="1" colspan="1">&#x02003;&#x02003;Q4</td><td align="center" valign="middle" rowspan="1" colspan="1">57.4 (56.4,58.5)</td><td align="center" valign="middle" rowspan="1" colspan="1">66.6 (65.6,67.6)</td><td align="center" valign="middle" style="border-right: solid 1px" rowspan="1" colspan="1">66.6 (65.6,67.6)</td><td align="center" valign="middle" rowspan="1" colspan="1">55.4 (54.0,56.9)</td><td align="center" valign="middle" style="border-right: solid 1px" rowspan="1" colspan="1">57.1 (55.8,58.5)</td><td align="center" valign="middle" rowspan="1" colspan="1">43.1 (41.6,44.6)</td><td align="center" valign="middle" rowspan="1" colspan="1">71.4 (70.0,72.9)</td></tr><tr><td align="left" valign="bottom" rowspan="1" colspan="1">&#x02003;&#x02003;Q5 (Most advantage)</td><td align="center" valign="middle" rowspan="1" colspan="1">63.5 (62.0,64.9)</td><td align="center" valign="middle" rowspan="1" colspan="1">74.7 (73.4,76.0)</td><td align="center" valign="middle" style="border-right: solid 1px" rowspan="1" colspan="1">74.7 (73.4,76.0)</td><td align="center" valign="middle" rowspan="1" colspan="1">48.2 (46.3,50.1)</td><td align="center" valign="middle" style="border-right: solid 1px" rowspan="1" colspan="1">64.7 (62.9,66.4)</td><td align="center" valign="middle" rowspan="1" colspan="1">31.0 (29.1,32.9)</td><td align="center" valign="middle" rowspan="1" colspan="1">64.8 (62.7,66.9)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Latinx</td><td align="center" valign="middle" rowspan="1" colspan="1"/><td align="center" valign="middle" rowspan="1" colspan="1"/><td align="center" valign="middle" style="border-right: solid 1px" rowspan="1" colspan="1"/><td align="center" valign="middle" rowspan="1" colspan="1"/><td align="center" valign="middle" style="border-right: solid 1px" rowspan="1" colspan="1"/><td align="center" valign="middle" rowspan="1" colspan="1"/><td align="center" valign="middle" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="bottom" rowspan="1" colspan="1">&#x02003;&#x02003;Q1 (Least advantage)</td><td align="center" valign="middle" rowspan="1" colspan="1">45.9 (45.5,46.3)</td><td align="center" valign="middle" rowspan="1" colspan="1">51.7 (51.4,52.1)</td><td align="center" valign="middle" style="border-right: solid 1px" rowspan="1" colspan="1">56.1 (55.7,56.5)</td><td align="center" valign="middle" rowspan="1" colspan="1">56.0 (55.6,56.5)</td><td align="center" valign="middle" style="border-right: solid 1px" rowspan="1" colspan="1">24.5 (24.1,24.9)</td><td align="center" valign="middle" rowspan="1" colspan="1">49.6 (49.1,50.2)</td><td align="center" valign="middle" rowspan="1" colspan="1">65.1 (64.6,65.6)</td></tr><tr><td align="left" valign="bottom" rowspan="1" colspan="1">&#x02003;&#x02003;Q2</td><td align="center" valign="middle" rowspan="1" colspan="1">49.0 (48.7,49.4)</td><td align="center" valign="middle" rowspan="1" colspan="1">56.0 (55.7,56.3)</td><td align="center" valign="middle" style="border-right: solid 1px" rowspan="1" colspan="1">58.3 (58.0,58.7)</td><td align="center" valign="middle" rowspan="1" colspan="1">71.9 (71.5,72.3)</td><td align="center" valign="middle" style="border-right: solid 1px" rowspan="1" colspan="1">38.1 (37.7,38.5)</td><td align="center" valign="middle" rowspan="1" colspan="1">32.3 (31.8,32.7)</td><td align="center" valign="middle" rowspan="1" colspan="1">78.7 (78.3,79.1)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;&#x02003;Q3</td><td align="center" valign="middle" rowspan="1" colspan="1">50.1 (49.7,50.5)</td><td align="center" valign="middle" rowspan="1" colspan="1">58.1 (57.7,58.5)</td><td align="center" valign="middle" style="border-right: solid 1px" rowspan="1" colspan="1">58.4 (58.0,58.8)</td><td align="center" valign="middle" rowspan="1" colspan="1">73.3 (72.9,73.8)</td><td align="center" valign="middle" style="border-right: solid 1px" rowspan="1" colspan="1">41.9 (41.5,42.4)</td><td align="center" valign="middle" rowspan="1" colspan="1">29.1 (28.5,29.6)</td><td align="center" valign="middle" rowspan="1" colspan="1">87.1 (86.8,87.5)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;&#x02003;Q4</td><td align="center" valign="middle" rowspan="1" colspan="1">48.3 (47.8,48.8)</td><td align="center" valign="middle" rowspan="1" colspan="1">58.8 (58.3,59.3)</td><td align="center" valign="middle" style="border-right: solid 1px" rowspan="1" colspan="1">58.8 (58.3,59.3)</td><td align="center" valign="middle" rowspan="1" colspan="1">61.5 (60.9,62.1)</td><td align="center" valign="middle" style="border-right: solid 1px" rowspan="1" colspan="1">49.8 (49.1,50.4)</td><td align="center" valign="middle" rowspan="1" colspan="1">40.3 (39.6,41.1)</td><td align="center" valign="middle" rowspan="1" colspan="1">83.8 (83.3,84.3)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;&#x02003;Q5 (Most advantage)</td><td align="center" valign="middle" rowspan="1" colspan="1">49.2 (48.5,49.9)</td><td align="center" valign="middle" rowspan="1" colspan="1">69.9 (69.3,70.6)</td><td align="center" valign="middle" style="border-right: solid 1px" rowspan="1" colspan="1">69.9 (69.3,70.6)</td><td align="center" valign="middle" rowspan="1" colspan="1">40.9 (40.1,41.7)</td><td align="center" valign="middle" style="border-right: solid 1px" rowspan="1" colspan="1">50.8 (50.0,51.7)</td><td align="center" valign="middle" rowspan="1" colspan="1">37.4 (36.4,38.4)</td><td align="center" valign="middle" rowspan="1" colspan="1">70.8 (69.9,71.6)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;White</td><td align="center" valign="middle" rowspan="1" colspan="1"/><td align="center" valign="middle" rowspan="1" colspan="1"/><td align="center" valign="middle" style="border-right: solid 1px" rowspan="1" colspan="1"/><td align="center" valign="middle" rowspan="1" colspan="1"/><td align="center" valign="middle" style="border-right: solid 1px" rowspan="1" colspan="1"/><td align="center" valign="middle" rowspan="1" colspan="1"/><td align="center" valign="middle" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;&#x02003;Q1 (Least advantage)</td><td align="center" valign="middle" rowspan="1" colspan="1">37.2 (36.8,37.6)</td><td align="center" valign="middle" rowspan="1" colspan="1">43.9 (43.5,44.3)</td><td align="center" valign="middle" style="border-right: solid 1px" rowspan="1" colspan="1">47.5 (47.2,47.9)</td><td align="center" valign="middle" rowspan="1" colspan="1">42.0 (41.4,42.5)</td><td align="center" valign="middle" style="border-right: solid 1px" rowspan="1" colspan="1">19.2 (18.8,19.7)</td><td align="center" valign="middle" rowspan="1" colspan="1">42.1 (41.5,42.7)</td><td align="center" valign="middle" rowspan="1" colspan="1">68.9 (68.3,69.5)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;&#x02003;Q2</td><td align="center" valign="middle" rowspan="1" colspan="1">40.9 (40.5,41.2)</td><td align="center" valign="middle" rowspan="1" colspan="1">47.3 (47.0,47.7)</td><td align="center" valign="middle" style="border-right: solid 1px" rowspan="1" colspan="1">50.6 (50.2,50.9)</td><td align="center" valign="middle" rowspan="1" colspan="1">52.5 (52.0,53.0)</td><td align="center" valign="middle" style="border-right: solid 1px" rowspan="1" colspan="1">21.7 (21.3,22.1)</td><td align="center" valign="middle" rowspan="1" colspan="1">40.2 (39.6,40.7)</td><td align="center" valign="middle" rowspan="1" colspan="1">74.3 (73.8,74.7)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;&#x02003;Q3</td><td align="center" valign="middle" rowspan="1" colspan="1">43.0 (42.7,43.3)</td><td align="center" valign="middle" rowspan="1" colspan="1">54.3 (54.0,54.6)</td><td align="center" valign="middle" style="border-right: solid 1px" rowspan="1" colspan="1">54.8 (54.5,55.1)</td><td align="center" valign="middle" rowspan="1" colspan="1">60.4 (60.0,60.9)</td><td align="center" valign="middle" style="border-right: solid 1px" rowspan="1" colspan="1">24.5 (24.2,24.9)</td><td align="center" valign="middle" rowspan="1" colspan="1">44.1 (43.5,44.6)</td><td align="center" valign="middle" rowspan="1" colspan="1">82.5 (82.1,82.8)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;&#x02003;Q4</td><td align="center" valign="middle" rowspan="1" colspan="1">44.8 (44.5,45.0)</td><td align="center" valign="middle" rowspan="1" colspan="1">58.5 (58.2,58.8)</td><td align="center" valign="middle" style="border-right: solid 1px" rowspan="1" colspan="1">58.5 (58.3,58.8)</td><td align="center" valign="middle" rowspan="1" colspan="1">62.7 (62.3,63.0)</td><td align="center" valign="middle" style="border-right: solid 1px" rowspan="1" colspan="1">33.0 (32.6,33.3)</td><td align="center" valign="middle" rowspan="1" colspan="1">43.6 (43.2,44.0)</td><td align="center" valign="middle" rowspan="1" colspan="1">77.6 (77.2,78.0)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;&#x02003;Q5 (Most advantage)</td><td align="center" valign="middle" rowspan="1" colspan="1">46.1 (45.9,46.4)</td><td align="center" valign="middle" rowspan="1" colspan="1">69.4 (69.2,69.6)</td><td align="center" valign="middle" style="border-right: solid 1px" rowspan="1" colspan="1">69.4 (69.2,69.6)</td><td align="center" valign="middle" rowspan="1" colspan="1">42.4 (42.1,42.7)</td><td align="center" valign="middle" style="border-right: solid 1px" rowspan="1" colspan="1">42.3 (42.0,42.6)</td><td align="center" valign="middle" rowspan="1" colspan="1">35.6 (35.2,36.0)</td><td align="center" valign="middle" rowspan="1" colspan="1">66.7 (66.3,67.1)</td></tr></tbody></table><table-wrap-foot><fn id="TFN6"><p id="P60">Note: CI=confidence interval. Allows retail sales=allows storefronts and/or delivery. Neighborhood socioeconomic advantage was defined by Area Deprivation Index (ADI), a composite measure of 17 census block group-level characteristics, which was divided into California-based quintiles of advantage. Most advantage quintile corresponds to neighborhoods with 1<sup>st</sup> or 2<sup>nd</sup> ADI decile and least advantage to neighborhoods with 9<sup>th</sup> or 10<sup>th</sup> decile. Latinx=Latino/a/x or Hispanic; Asian=nonLatinx Asian; Black=non-Latinx Black; White=non-Latinx white.</p></fn><fn id="TFN7"><label>a</label><p id="P61">Percentage of population or subpopulation living in a jurisdiction with a specific policy, where the denominator is the total population living in jurisdictions where the specific policies could be adopted (i.e., all, those allowing retail, those allowing storefronts).</p></fn></table-wrap-foot></table-wrap><boxed-text id="BX1" position="float"><caption><title>Highlights</title></caption><list list-type="bullet" id="L2"><list-item><p id="P62">First study on distribution of cannabis policies using an intersectional approach</p></list-item><list-item><p id="P63">Black residents in privileged areas were most likely to live where retail was allowed</p></list-item><list-item><p id="P64">Equity provisions were rare but most common for Black residents in privileged areas</p></list-item><list-item><p id="P65">Strict ad policies were most common for Latinx and Black residents in poorer areas</p></list-item><list-item><p id="P66">The impact of cannabis policy disparities on public health remains uncertain</p></list-item></list></boxed-text></floats-group></article>