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Domain > colorofwealth.org
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DNS Resolutions
Date
IP Address
2024-06-20
3.163.80.88
(
ClassC
)
2024-08-02
18.173.166.31
(
ClassC
)
2026-02-09
3.175.34.47
(
ClassC
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Port 80
HTTP/1.1 301 Moved PermanentlyServer: CloudFrontDate: Mon, 09 Feb 2026 01:29:06 GMTContent-Type: text/htmlContent-Length: 167Connection: keep-aliveLocation: https://colorofwealth.org/X-Cache: Redirect from cloudfrontVia: 1.1 14d8985a9dc0ead7a1065737baef3fe0.cloudfront.net (CloudFront)X-Amz-Cf-Pop: HIO52-P3X-Amz-Cf-Id: et5bcLGwPCNCKfcQEIgwvusWCl-6HL9m76AYNO6fT-FdQUFzeHnCZg html>head>title>301 Moved Permanently/title>/head>body>center>h1>301 Moved Permanently/h1>/center>hr>center>CloudFront/center>/body>/html>
Port 443
HTTP/1.1 200 OKContent-Type: text/htmlContent-Length: 242642Connection: keep-aliveLast-Modified: Thu, 23 Jan 2025 15:34:20 GMTServer: AmazonS3Date: Mon, 09 Feb 2026 01:29:07 GMTETag: 431d5f19e5485851b60a057bc8ae525bX-Cache: RefreshHit from cloudfrontVia: 1.1 223036c71c1f48562349a318eed11a5c.cloudfront.net (CloudFront)X-Amz-Cf-Pop: HIO52-P3X-Amz-Cf-Id: P26S1_Zbl5As4Le0govSipbkZH4mO-GFbyAp9Qv041l9G5ykwvLJ2Q !DOCTYPE html>html langen>head>meta charSetutf-8/>meta nameviewport contentwidthdevice-width/>meta contenten http-equivContent-Language/>title>The Color of Wealth/title>meta namedescription contentThe Color of Wealth examines and maps the relative asset and debt positions of different racial, ethnic and ancestral groups in a specific metropolitan area, contextualizing racial wealth gaps with a location’s particular racial history. 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color/span>/div>/span>style data-emotioncss w1an2o>.css-w1an2o{grid-column:1/-1;}@media screen and (min-width: 30em){.css-w1an2o{grid-column:2/-1;}}@media screen and (min-width: 62em){.css-w1an2o{grid-column:3/-1;}}/style>span classcss-w1an2o>div styleopacity:0;transform:translateX(24px) translateZ(0)>span classchakra-text css-8y5nab font-variantnormal>of wealth/span>/div>/span>style data-emotioncss 1hph8tj>.css-1hph8tj{grid-column:1/-1;mix-blend-mode:multiply;}@media screen and (min-width: 62em){.css-1hph8tj{grid-column:2/-1;}}/style>span classcss-1hph8tj>div styleopacity:0;transform:translateX(-24px) translateZ(0)>style data-emotioncss 8oh4g>.css-8oh4g{display:inline-block;font-size:2.25rem;line-height:1;text-transform:uppercase;font-weight:400;font-style:normal;font-family:var(--chakra-fonts-heading);position:relative;color:var(--chakra-colors-red-500);}@media screen and (min-width: 30em){.css-8oh4g{line-height:0.8;}}@media screen and (min-width: 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(min-width: 48em){.css-xph7ug{font-size:var(--chakra-fontSizes-3xl);}}/style>p classchakra-text css-xph7ug>The Color of Wealth research series examines wealth by race, ethnicity and national origin in the context of specific locations and histories. 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1filseg>.css-1filseg{width:2rem;height:2rem;font-size:0.125rem;stroke:currentcolor;fill:none;z-index:1;}.css-1filseg circle,.css-1filseg path,.css-1filseg rect,.css-1filseg text,.css-1filseg line{vector-effect:non-scaling-stroke;}/style>svg xmlnshttp://www.w3.org/2000/svg aria-hiddentrue focusablefalse viewBox0 0 24 24 stroke-width1em stroke-linecapbutt stroke-linejoinbevel classcss-1filseg>style data-emotioncss 1urrt1r>.css-1urrt1r{width:1.25rem;height:1.25rem;font-size:0.125rem;stroke:currentcolor;fill:none;}.css-1urrt1r circle,.css-1urrt1r path,.css-1urrt1r rect,.css-1urrt1r text,.css-1urrt1r line{vector-effect:non-scaling-stroke;}/style>svg xmlnshttp://www.w3.org/2000/svg aria-hiddentrue focusablefalse viewBox0 0 24 24 stroke-width1em stroke-linecapbutt stroke-linejoinbevel classcss-1urrt1r>path dM5 12h13m-6-7l7 7-7 7>/path>/svg>/svg>/a>a classchakra-link css-1wikbe9 href/boston/>span classcss-1jlnwea>Boston/span>svg xmlnshttp://www.w3.org/2000/svg aria-hiddentrue focusablefalse 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1gjz1mm>.css-1gjz1mm{display:grid;grid-row-gap:var(--chakra-space-5);grid-column-gap:var(--chakra-space-5);grid-template-columns:repeat(8, minmax(0, 1fr));}/style>div classcss-1gjz1mm>style data-emotioncss p1ub2f>.css-p1ub2f{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-flex-direction:column;-ms-flex-direction:column;flex-direction:column;gap:var(--chakra-space-10);grid-column:1/-1;}@media screen and (min-width: 48em){.css-p1ub2f{grid-column:2/-2;}}/style>div classchakra-stack css-p1ub2f>style data-emotioncss wz6vei>.css-wz6vei{text-transform:uppercase;font-size:var(--chakra-fontSizes-3xl);line-height:calc(1em + 0.5rem);font-weight:700;}@media screen and (min-width: 48em){.css-wz6vei{font-size:var(--chakra-fontSizes-5xl);}}/style>h2 classchakra-heading css-wz6vei>Why wealth matters/h2>style data-emotioncss jkd41a>.css-jkd41a{font-size:var(--chakra-fontSizes-lg);}@media screen and (min-width: 48em){.css-jkd41a{font-size:var(--chakra-fontSizes-2xl);}}/style>p classchakra-text css-jkd41a>Many studies focus on income, but it is wealth that better positions families (and individuals) to finance elite educations, access capital to start a business, pay for expensive medical procedures, reside in higher amenity neighborhoods, exert political influence; purchase better counsel if confronted with an expensive legal system, leave a bequest, and withstand many financial hardships resulting from any number of emergencies or shocks, including a global pandemic. Investments into one’s economic future require more than a paycheck, or income – it necessitates drawing from a larger store of resources, which is wealth./p>p classchakra-text css-jkd41a>Wealth also generates more wealth: wealthier families have greater financial resources to pass on to their children and to purchase assets that produce more wealth. This intergenerational and compounding effect of wealth also perpetuates wealth inequities./p>/div>/div>/div>div classchakra-container css-15qhvau>style data-emotioncss 1mo08od>.css-1mo08od{aspect-ratio:1.7777777777777777;margin-top:var(--chakra-space-20);}/style>div classcss-1mo08od>iframe srchttps://player.vimeo.com/video/958661760?haf8001b2d3 width640 height360 allowautoplay; fullscreen; picture-in-picture allowfullscreen stylewidth:100%;height:100%>/iframe>/div>/div>style data-emotioncss 76x2jo>.css-76x2jo{width:100%;max-width:82.5rem;-webkit-margin-start:auto;margin-inline-start:auto;-webkit-margin-end:auto;margin-inline-end:auto;-webkit-padding-start:var(--chakra-space-5);padding-inline-start:var(--chakra-space-5);-webkit-padding-end:var(--chakra-space-5);padding-inline-end:var(--chakra-space-5);margin-top:var(--chakra-space-20);margin-bottom:var(--chakra-space-20);}/style>div classchakra-container css-76x2jo>style data-emotioncss 1iu649g>.css-1iu649g{width:100%;height:0.0625rem;background-color:var(--chakra-colors-gray-900);border:0;border-bottom-width:1px;}/style>hr aria-orientationhorizontal classchakra-divider css-1iu649g/>/div>div classchakra-container css-15qhvau>style data-emotioncss 1p7ufv3>.css-1p7ufv3{display:grid;grid-row-gap:var(--chakra-space-5);grid-column-gap:var(--chakra-space-5);grid-template-columns:repeat(8, minmax(0, 1fr));}@media screen and (min-width: 48em){.css-1p7ufv3{grid-column-gap:var(--chakra-space-20);}}/style>div classcss-1p7ufv3>style data-emotioncss 9nx8wt>.css-9nx8wt{text-transform:uppercase;font-size:var(--chakra-fontSizes-3xl);line-height:calc(1em + 0.5rem);font-weight:700;grid-column:1/-1;}@media screen and (min-width: 48em){.css-9nx8wt{font-size:var(--chakra-fontSizes-5xl);}}@media screen and (min-width: 62em){.css-9nx8wt{grid-column:1/-1;}}/style>h2 classchakra-heading css-9nx8wt>The color of wealth/h2>style data-emotioncss 4mkdag>.css-4mkdag{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-flex-direction:column;-ms-flex-direction:column;flex-direction:column;gap:0.5rem;grid-column:1/-1;}@media screen and (min-width: 62em){.css-4mkdag{grid-column:1/span 4;}}/style>div classchakra-stack css-4mkdag>p classchakra-text css-jkd41a>The surveys used for the Color of Wealth studies were developed to supplement existing national data sets that collect data on household wealth in the United States. Whereas these national datasets often rely on broad racial and ethnic categories, the Color of Wealth studies collect detailed data on assets and debts for more specific racial, ethnic and ancestral groups./p>p classchakra-text css-jkd41a>These specific groups are chosen to reflect a particular location’s demographics and history. The Color of Wealth findings on racial wealth disparities are presented within the context of the history of residential migration, segregation, and racial/ethnic inequities for the particular location./p>/div>style data-emotioncss 151f21i>.css-151f21i{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-flex-direction:column;-ms-flex-direction:column;flex-direction:column;gap:0.5rem;grid-column:1/-1;padding-top:var(--chakra-space-5);}@media screen and (min-width: 48em){.css-151f21i{padding-top:var(--chakra-space-10);}}@media screen and (min-width: 62em){.css-151f21i{grid-column:5/-1;padding-top:0px;}}/style>div classchakra-stack css-151f21i>style data-emotioncss 19ocjxy>.css-19ocjxy{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-flex-direction:column;-ms-flex-direction:column;flex-direction:column;gap:0px;margin-top:calc(var(--chakra-space-5) * -1);}/style>div classchakra-stack css-19ocjxy>style data-emotioncss 15ocvv0>.css-15ocvv0{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-align-items:flex-start;-webkit-box-align:flex-start;-ms-flex-align:flex-start;align-items:flex-start;-webkit-flex-direction:row;-ms-flex-direction:row;flex-direction:row;gap:0.5rem;margin-top:var(--chakra-space-5);margin-bottom:var(--chakra-space-5);}/style>div classchakra-stack css-15ocvv0>style data-emotioncss d69v13>.css-d69v13{background:var(--chakra-colors-red-500);width:1.25rem;height:1.25rem;border-radius:var(--chakra-radii-full);-webkit-flex:none;-ms-flex:none;flex:none;margin-top:var(--chakra-space-1);}/style>div classcss-d69v13>/div>style data-emotioncss 8g8ihq>.css-8g8ihq{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-flex-direction:column;-ms-flex-direction:column;flex-direction:column;gap:0.5rem;}/style>div classchakra-stack css-8g8ihq>style data-emotioncss 1mohtgr>.css-1mohtgr{text-transform:uppercase;font-weight:700;}/style>h2 classchakra-heading css-1mohtgr>Baltimore/h2>p classchakra-text css-0>Black — experience with incarceration, Black — no experience with incarceration, White — experience with incarceration, White — no experience with incarceration/p>/div>/div>style data-emotioncss 1ht3mz4>.css-1ht3mz4{width:100%;height:0.0625rem;background-color:var(--chakra-colors-red-500);border:0;border-bottom-width:1px;}/style>hr aria-orientationhorizontal classchakra-divider css-1ht3mz4/>/div>div classchakra-stack css-19ocjxy>div classchakra-stack css-15ocvv0>div classcss-d69v13>/div>div classchakra-stack css-8g8ihq>h2 classchakra-heading css-1mohtgr>Boston/h2>p classchakra-text css-0>White, US Black, Caribbean Black, Cape Verdean, Puerto Rican, Dominican, Other Hispanic/p>/div>/div>hr aria-orientationhorizontal classchakra-divider css-1ht3mz4/>/div>div classchakra-stack css-19ocjxy>div classchakra-stack css-15ocvv0>div classcss-d69v13>/div>div classchakra-stack css-8g8ihq>h2 classchakra-heading css-1mohtgr>Chicago/h2>p classchakra-text css-0>Black, Mexican — foreign born, Mexican — US born, Puerto Rican, White/p>/div>/div>hr aria-orientationhorizontal classchakra-divider css-1ht3mz4/>/div>div classchakra-stack css-19ocjxy>div classchakra-stack css-15ocvv0>div classcss-d69v13>/div>div classchakra-stack css-8g8ihq>h2 classchakra-heading css-1mohtgr>Los Angeles/h2>p classchakra-text css-0>White, US Black, African Black, Mexican, Other Latino, Chinese, Japanese, Korean, Vietnamese, Filipino, Asian Indian/p>/div>/div>hr aria-orientationhorizontal classchakra-divider css-1ht3mz4/>/div>div classchakra-stack css-19ocjxy>div classchakra-stack css-15ocvv0>div classcss-d69v13>/div>div classchakra-stack css-8g8ihq>h2 classchakra-heading css-1mohtgr>Miami/h2>p classchakra-text css-0>White, US Black, Caribbean Black, Puerto Rican, Cuban, South American, Other Hispanic/p>/div>/div>hr aria-orientationhorizontal classchakra-divider css-1ht3mz4/>/div>div classchakra-stack css-19ocjxy>div classchakra-stack css-15ocvv0>div classcss-d69v13>/div>div classchakra-stack css-8g8ihq>h2 classchakra-heading css-1mohtgr>Tulsa/h2>p classchakra-text css-0>Black, Mexican, Native by Tribal Enrollment (Cherokee, Muscogee, Other Tribe, Not Enrolled), White/p>/div>/div>hr aria-orientationhorizontal classchakra-divider css-1ht3mz4/>/div>div classchakra-stack css-19ocjxy>div classchakra-stack css-15ocvv0>div classcss-d69v13>/div>div classchakra-stack css-8g8ihq>h2 classchakra-heading css-1mohtgr>Washington, D.C./h2>p classchakra-text css-0>White, US Black, African Black, Latino, Chinese, Korean, Vietnamese, Asian Indian/p>/div>/div>hr aria-orientationhorizontal classchakra-divider css-1ht3mz4/>/div>/div>/div>/div>div classchakra-container css-76x2jo>hr aria-orientationhorizontal classchakra-divider css-1iu649g/>/div>div classchakra-container css-15qhvau>div classcss-1p7ufv3>div classchakra-stack css-p1ub2f>h2 classchakra-heading css-wz6vei>Locations and themes/h2>p classchakra-text css-jkd41a>Experiences with mass incarceration, climate gentrification, state violence, predatory debt, housing insecurity, and geographic segregation intersect with wealth and race and ethnicity. The Color of Wealth series strategically selects locations that can serve as thematic case studies to understand the relationship between race, wealth, and interconnecting systems (such as incarceration and climate crisis) that are foundational to structural racism, for instance:/p>style data-emotioncss 1153lrp>.css-1153lrp{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-flex-direction:column;-ms-flex-direction:column;flex-direction:column;gap:var(--chakra-space-5);}/style>div classchakra-stack css-1153lrp>style data-emotioncss hiihwv>.css-hiihwv{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-align-items:flex-start;-webkit-box-align:flex-start;-ms-flex-align:flex-start;align-items:flex-start;-webkit-flex-direction:row;-ms-flex-direction:row;flex-direction:row;gap:0.5rem;}/style>div classchakra-stack css-hiihwv>div classcss-d69v13>/div>div classchakra-stack css-8g8ihq>h2 classchakra-heading css-1mohtgr>CHICAGO: A STORY OF RESIDENTIAL SEGREGATION, RACE AND WEALTH/h2>style data-emotioncss 1hwlodw>.css-1hwlodw{padding-top:var(--chakra-space-3);padding-bottom:var(--chakra-space-3);-webkit-padding-start:var(--chakra-space-5);padding-inline-start:var(--chakra-space-5);-webkit-padding-end:var(--chakra-space-5);padding-inline-end:var(--chakra-space-5);border:0.0625rem solid currentcolor;font-weight:700;background-image:linear-gradient(to right, rgba(255, 255, 255, 1) 25%, rgba(255, 255, 255, 0));position:relative;overflow:hidden;cursor:pointer;display:-webkit-inline-box;display:-webkit-inline-flex;display:-ms-inline-flexbox;display:inline-flex;-webkit-box-pack:justify;-webkit-justify-content:space-between;justify-content:space-between;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;gap:var(--chakra-space-3);text-transform:uppercase;font-size:1rem;}.css-1hwlodw:focus-visible,.css-1hwlodwdata-focus-visible{outline:0.0625rem solid #121212;outline-offset:0.125rem;}.css-1hwlodw:focus-visible::before,.css-1hwlodwdata-focus-visible::before{-webkit-transform:translateX(0%);-moz-transform:translateX(0%);-ms-transform:translateX(0%);transform:translateX(0%);}.css-1hwlodw:hover::before,.css-1hwlodwdata-hover::before{-webkit-transform:translateX(0%);-moz-transform:translateX(0%);-ms-transform:translateX(0%);transform:translateX(0%);}.css-1hwlodw::before{content:;position:absolute;top:0px;bottom:0px;left:0px;width:200%;-webkit-transform:translateX(-50%);-moz-transform:translateX(-50%);-ms-transform:translateX(-50%);transform:translateX(-50%);-webkit-transition:-webkit-transform 0.3s;transition:transform 0.3s;background-image:linear-gradient(to right, rgba(255, 255, 255, 1) 50%, rgba(255, 255, 255, 0) 100%);}@media screen and (min-width: 48em){.css-1hwlodw{font-size:1.25rem;}}/style>a classchakra-link css-1hwlodw href/chicago/segregation/>span classcss-1jlnwea>Read the Segregation story/span>svg xmlnshttp://www.w3.org/2000/svg aria-hiddentrue focusablefalse viewBox0 0 24 24 stroke-width1em stroke-linecapbutt stroke-linejoinbevel classcss-1filseg>svg xmlnshttp://www.w3.org/2000/svg aria-hiddentrue focusablefalse viewBox0 0 24 24 stroke-width1em stroke-linecapbutt stroke-linejoinbevel classcss-1urrt1r>path dM5 12h13m-6-7l7 7-7 7>/path>/svg>/svg>/a>/div>/div>/div>div classchakra-stack css-1153lrp>div classchakra-stack css-hiihwv>div classcss-d69v13>/div>div classchakra-stack css-8g8ihq>h2 classchakra-heading css-1mohtgr>BALTIMORE: A STORY OF INCARCERATION, RACE AND WEALTH/h2>p classchakra-text css-0>Coming soon/p>/div>/div>/div>div classchakra-stack css-1153lrp>div classchakra-stack css-hiihwv>div classcss-d69v13>/div>div classchakra-stack css-8g8ihq>h2 classchakra-heading css-1mohtgr>TULSA: A STORY OF RACE MASSACRES AND INDIGENOUS POPULATIONS/h2>p classchakra-text css-0>Coming soon/p>/div>/div>/div>div classchakra-stack css-1153lrp>div classchakra-stack css-hiihwv>div classcss-d69v13>/div>div classchakra-stack css-8g8ihq>h2 classchakra-heading css-1mohtgr>MIAMI: A STORY OF CLIMATE GENTRIFICATION, RACE AND WEALTH/h2>p classchakra-text css-0>Coming soon/p>/div>/div>/div>/div>/div>/div>div classchakra-container css-15qhvau>hr aria-orientationhorizontal classchakra-divider css-11ovrdz/>/div>div classchakra-container css-15qhvau>div classcss-1p7ufv3>div classchakra-stack css-p1ub2f>h2 classchakra-heading css-wz6vei>About the research/h2>p classchakra-text css-jkd41a>Timing of studies:/p>style data-emotioncss 12ifgy1>.css-12ifgy1{display:grid;grid-row-gap:0px;grid-column-gap:var(--chakra-space-0-5);grid-template-columns:repeat(22, minmax(0, 1fr));}/style>div classcss-12ifgy1>style data-emotioncss y26v7q>.css-y26v7q{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;-webkit-box-pack:center;-ms-flex-pack:center;-webkit-justify-content:center;justify-content:center;grid-column:span 2;background:var(--chakra-colors-brown-300);padding-top:var(--chakra-space-3);padding-bottom:var(--chakra-space-3);font-size:var(--chakra-fontSizes-xs);font-weight:600;}@media screen and (min-width: 48em){.css-y26v7q{font-size:var(--chakra-fontSizes-sm);}}@media screen and (min-width: 62em){.css-y26v7q{font-size:var(--chakra-fontSizes-md);}}/style>div classcss-y26v7q>2013/div>div classcss-y26v7q>2014/div>div classcss-y26v7q>2015/div>div classcss-y26v7q>2016/div>div classcss-y26v7q>2017/div>div classcss-y26v7q>2018/div>div classcss-y26v7q>2019/div>div classcss-y26v7q>2020/div>div classcss-y26v7q>2021/div>div classcss-y26v7q>2022/div>div classcss-y26v7q>2023/div>style data-emotioncss 4pt32p>.css-4pt32p{grid-column:1/span 4;border-top:0.25rem solid;border-color:var(--chakra-colors-red-500);}/style>div classcss-4pt32p>style data-emotioncss 13dkxu9>.css-13dkxu9{border-left:0.25rem solid;border-right:0.25rem solid;border-color:var(--chakra-colors-red-500);height:1rem;margin-top:-0.625rem;}/style>div classcss-13dkxu9>/div>style data-emotioncss 1hjaaum>.css-1hjaaum{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-flex-direction:column;-ms-flex-direction:column;flex-direction:column;gap:var(--chakra-space-1);width:100%;-webkit-transform:translateX(50%);-moz-transform:translateX(50%);-ms-transform:translateX(50%);transform:translateX(50%);margin-left:-0.1875rem;border-left:0.25rem solid;border-color:var(--chakra-colors-red-500);padding-top:var(--chakra-space-3);margin-top:calc(var(--chakra-space-2) * -1);}/style>div classchakra-stack css-1hjaaum>style data-emotioncss 1pkq0bm>.css-1pkq0bm{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;-webkit-flex-direction:row;-ms-flex-direction:row;flex-direction:row;gap:0.5rem;white-space:nowrap;margin-left:calc(var(--chakra-space-3) * -1);}/style>div classchakra-stack css-1pkq0bm>div classcss-d69v13>/div>style data-emotioncss goh30b>.css-goh30b{text-transform:uppercase;font-size:var(--chakra-fontSizes-sm);font-weight:700;}/style>p classchakra-text css-goh30b>Boston/p>/div>div classchakra-stack css-1pkq0bm>div classcss-d69v13>/div>p classchakra-text css-goh30b>Los Angeles/p>/div>div classchakra-stack css-1pkq0bm>div classcss-d69v13>/div>p classchakra-text css-goh30b>Miami/p>/div>div classchakra-stack css-1pkq0bm>div classcss-d69v13>/div>p classchakra-text css-goh30b>Tulsa/p>/div>div classchakra-stack css-1pkq0bm>div classcss-d69v13>/div>p classchakra-text css-goh30b>Washington, D.C./p>/div>/div>/div>style data-emotioncss c45u4n>.css-c45u4n{grid-column:9/span 2;border-top:0.25rem solid;border-color:var(--chakra-colors-red-500);}/style>div classcss-c45u4n>div classcss-13dkxu9>/div>div classchakra-stack css-1hjaaum>div classchakra-stack css-1pkq0bm>div classcss-d69v13>/div>p classchakra-text css-goh30b>Baltimore/p>/div>/div>/div>style data-emotioncss ngliga>.css-ngliga{grid-column:20/span 2;border-top:0.25rem solid;border-color:var(--chakra-colors-red-500);}/style>div classcss-ngliga>div classcss-13dkxu9>/div>div classchakra-stack css-1hjaaum>div classchakra-stack css-1pkq0bm>div classcss-d69v13>/div>p classchakra-text css-goh30b>Chicago/p>/div>/div>/div>/div>p classchakra-text css-jkd41a>Since 2015, Color of Wealth studies have examined and measured racial disparities in wealth and economic well-being in seven American cities: Baltimore, Boston, Chicago, Los Angeles, Miami, Tulsa, and Washington, D.C./p>p classchakra-text css-jkd41a>Color of Wealth studies use surveys to gather information about a respondent’s geographic location, racial, ethnic, ancestral background, demographic information like education, age, marital status, and information about assets, debts, and financial resources. More methodological information about the study for each study can be found on individual city pages./p>/div>/div>/div>div classchakra-container css-15qhvau>hr aria-orientationhorizontal classchakra-divider css-11ovrdz/>/div>div classchakra-container css-15qhvau>div classcss-1p7ufv3>style data-emotioncss 96ggzi>.css-96ggzi{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-flex-direction:column;-ms-flex-direction:column;flex-direction:column;gap:var(--chakra-space-2);grid-column:1/-1;}@media screen and (min-width: 62em){.css-96ggzi{grid-column:2/-2;}}/style>div classchakra-stack css-96ggzi>style data-emotioncss v9wh2j>.css-v9wh2j{text-transform:uppercase;font-size:var(--chakra-fontSizes-3xl);line-height:calc(1em + 0.5rem);font-weight:700;margin-bottom:var(--chakra-space-10);}@media screen and (min-width: 48em){.css-v9wh2j{font-size:var(--chakra-fontSizes-5xl);}}/style>h2 classchakra-heading css-v9wh2j>Explore the research/h2>style data-emotioncss 1rh2xqt>.css-1rh2xqt{display:grid;grid-row-gap:var(--chakra-space-5);grid-column-gap:var(--chakra-space-5);grid-template-columns:repeat(1, minmax(0, 1fr));-webkit-align-items:stretch;-webkit-box-align:stretch;-ms-flex-align:stretch;align-items:stretch;}@media screen and (min-width: 48em){.css-1rh2xqt{grid-row-gap:var(--chakra-space-2);grid-column-gap:var(--chakra-space-2);grid-template-columns:repeat(2, minmax(0, 1fr));}}/style>div classcss-1rh2xqt>style data-emotioncss ppfe39>.css-ppfe39{padding-top:var(--chakra-space-3);padding-bottom:var(--chakra-space-3);-webkit-padding-start:var(--chakra-space-5);padding-inline-start:var(--chakra-space-5);-webkit-padding-end:var(--chakra-space-5);padding-inline-end:var(--chakra-space-5);border:0.0625rem solid currentcolor;font-weight:700;background-image:linear-gradient(to right, rgba(255, 255, 255, 1) 25%, rgba(255, 255, 255, 0));position:relative;overflow:hidden;cursor:pointer;display:-webkit-inline-box;display:-webkit-inline-flex;display:-ms-inline-flexbox;display:inline-flex;-webkit-box-pack:justify;-webkit-justify-content:space-between;justify-content:space-between;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;gap:var(--chakra-space-3);text-transform:uppercase;font-size:var(--chakra-fontSizes-lg);}.css-ppfe39:focus-visible,.css-ppfe39data-focus-visible{outline:0.0625rem solid #121212;outline-offset:0.125rem;}.css-ppfe39:focus-visible::before,.css-ppfe39data-focus-visible::before{-webkit-transform:translateX(0%);-moz-transform:translateX(0%);-ms-transform:translateX(0%);transform:translateX(0%);}.css-ppfe39:hover::before,.css-ppfe39data-hover::before{-webkit-transform:translateX(0%);-moz-transform:translateX(0%);-ms-transform:translateX(0%);transform:translateX(0%);}.css-ppfe39::before{content:;position:absolute;top:0px;bottom:0px;left:0px;width:200%;-webkit-transform:translateX(-50%);-moz-transform:translateX(-50%);-ms-transform:translateX(-50%);transform:translateX(-50%);-webkit-transition:-webkit-transform 0.3s;transition:transform 0.3s;background-image:linear-gradient(to right, rgba(255, 255, 255, 1) 50%, rgba(255, 255, 255, 0) 100%);}@media screen and (min-width: 48em){.css-ppfe39{font-size:1.75rem;}}/style>a classchakra-link css-ppfe39 href/baltimore/>span classcss-1jlnwea>span stylefont-weight:500;text-transform:none>Wealth in /span>span styletext-transform:capitalize>Baltimore/span>/span>svg xmlnshttp://www.w3.org/2000/svg aria-hiddentrue focusablefalse viewBox0 0 24 24 stroke-width1em stroke-linecapbutt stroke-linejoinbevel classcss-1filseg>svg xmlnshttp://www.w3.org/2000/svg aria-hiddentrue focusablefalse viewBox0 0 24 24 stroke-width1em stroke-linecapbutt stroke-linejoinbevel classcss-1urrt1r>path dM5 12h13m-6-7l7 7-7 7>/path>/svg>/svg>/a>style data-emotioncss 11c9gyf>.css-11c9gyf{font-size:1rem;font-style:italic;padding-top:var(--chakra-space-3);padding-bottom:var(--chakra-space-3);-webkit-padding-start:var(--chakra-space-5);padding-inline-start:var(--chakra-space-5);-webkit-padding-end:var(--chakra-space-5);padding-inline-end:var(--chakra-space-5);border:0.0625rem dashed;}/style>div classcss-11c9gyf>Race Wealth Incarceration in Baltimore story coming soon/div>/div>div classcss-1rh2xqt>a classchakra-link css-ppfe39 href/boston/>span classcss-1jlnwea>span stylefont-weight:500;text-transform:none>Wealth in /span>span styletext-transform:capitalize>Boston/span>/span>svg xmlnshttp://www.w3.org/2000/svg aria-hiddentrue focusablefalse viewBox0 0 24 24 stroke-width1em stroke-linecapbutt stroke-linejoinbevel classcss-1filseg>svg xmlnshttp://www.w3.org/2000/svg aria-hiddentrue focusablefalse viewBox0 0 24 24 stroke-width1em stroke-linecapbutt stroke-linejoinbevel classcss-1urrt1r>path dM5 12h13m-6-7l7 7-7 7>/path>/svg>/svg>/a>/div>div classcss-1rh2xqt>a classchakra-link css-ppfe39 href/chicago/>span classcss-1jlnwea>span stylefont-weight:500;text-transform:none>Wealth in /span>span styletext-transform:capitalize>Chicago/span>/span>svg xmlnshttp://www.w3.org/2000/svg aria-hiddentrue focusablefalse viewBox0 0 24 24 stroke-width1em stroke-linecapbutt stroke-linejoinbevel classcss-1filseg>svg xmlnshttp://www.w3.org/2000/svg aria-hiddentrue focusablefalse viewBox0 0 24 24 stroke-width1em stroke-linecapbutt stroke-linejoinbevel classcss-1urrt1r>path dM5 12h13m-6-7l7 7-7 7>/path>/svg>/svg>/a>a classchakra-link css-ppfe39 href/chicago/segregation/>span classcss-1jlnwea>span stylefont-weight:500;text-transform:capitalize>Segregation in /span>span styletext-transform:capitalize>Chicago/span>/span>svg xmlnshttp://www.w3.org/2000/svg aria-hiddentrue focusablefalse viewBox0 0 24 24 stroke-width1em stroke-linecapbutt stroke-linejoinbevel classcss-1filseg>svg xmlnshttp://www.w3.org/2000/svg aria-hiddentrue focusablefalse viewBox0 0 24 24 stroke-width1em stroke-linecapbutt stroke-linejoinbevel classcss-1urrt1r>path dM5 12h13m-6-7l7 7-7 7>/path>/svg>/svg>/a>/div>div classcss-1rh2xqt>a classchakra-link css-ppfe39 href/los-angeles/>span classcss-1jlnwea>span stylefont-weight:500;text-transform:none>Wealth in /span>span styletext-transform:capitalize>Los Angeles/span>/span>svg xmlnshttp://www.w3.org/2000/svg aria-hiddentrue focusablefalse viewBox0 0 24 24 stroke-width1em stroke-linecapbutt stroke-linejoinbevel classcss-1filseg>svg xmlnshttp://www.w3.org/2000/svg aria-hiddentrue 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m9zgv3>.css-m9zgv3{font-size:var(--chakra-fontSizes-md);font-style:italic;padding-top:var(--chakra-space-3);padding-bottom:var(--chakra-space-3);-webkit-padding-start:var(--chakra-space-5);padding-inline-start:var(--chakra-space-5);-webkit-padding-end:var(--chakra-space-5);padding-inline-end:var(--chakra-space-5);border:0.0625rem dashed;}@media screen and (min-width: 48em){.css-m9zgv3{font-size:1rem;}}/style>div classcss-m9zgv3>Climate Gentrification in Miami story coming soon/div>/div>div classcss-1rh2xqt>a classchakra-link css-ppfe39 href/tulsa/>span classcss-1jlnwea>span stylefont-weight:500;text-transform:none>Wealth in /span>span styletext-transform:capitalize>Tulsa/span>/span>svg xmlnshttp://www.w3.org/2000/svg aria-hiddentrue focusablefalse viewBox0 0 24 24 stroke-width1em stroke-linecapbutt stroke-linejoinbevel classcss-1filseg>svg xmlnshttp://www.w3.org/2000/svg aria-hiddentrue focusablefalse viewBox0 0 24 24 stroke-width1em stroke-linecapbutt stroke-linejoinbevel classcss-1urrt1r>path dM5 12h13m-6-7l7 7-7 7>/path>/svg>/svg>/a>div classcss-m9zgv3>Race Massacre and Indigenous populations in Tulsa story coming soon/div>/div>div classcss-1rh2xqt>a classchakra-link css-ppfe39 href/washington-dc/>span classcss-1jlnwea>span stylefont-weight:500;text-transform:none>Wealth in /span>span styletext-transform:capitalize>Washington D.C./span>/span>svg xmlnshttp://www.w3.org/2000/svg aria-hiddentrue focusablefalse viewBox0 0 24 24 stroke-width1em stroke-linecapbutt stroke-linejoinbevel classcss-1filseg>svg xmlnshttp://www.w3.org/2000/svg aria-hiddentrue focusablefalse viewBox0 0 24 24 stroke-width1em stroke-linecapbutt stroke-linejoinbevel classcss-1urrt1r>path dM5 12h13m-6-7l7 7-7 7>/path>/svg>/svg>/a>/div>/div>/div>/div>/div>style data-emotioncss p66ggj>.css-p66ggj{background:var(--chakra-colors-gray-100);position:relative;}/style>div classcss-p66ggj>style data-emotioncss 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ethnicity.,cover:CoW_DC.png,logos:Urban-Institute.png,Insight-Center.png,Duke.png,reportLink:https://racepowerpolicy.org/wp-content/uploads/2024/01/Color-of-Wealth-DC.pdf},storyType:wealth,content:{type:section,slideId:overview,label:Overview,sections:{children:{type:text,value:Overview},type:heading,depth:2},{children:{type:text,value:The Color of Wealth in the Nation’s Capital (Washington, D.C.) report explored racial and ethnic differences in wealth, focusing on Black families in Washington, D.C., and showed, through a chronicle of history in the city, how discrimination and systemic racism have contributed to today’s wealth gap in the nation’s capital. The 2007–09 Great Recession and housing crisis erased approximately half of Black and Latino households’ wealth, while Asians suffered the largest absolute loss in wealth. Asian and Latino households tended to live in geographic areas that were hit hardest by the housing crisis.},type:paragraph},{children:{type:text,value:Wealth matters for building an equitable and prosperous Washington, D.C. region. Many studies focus on income– the amount of money people make in a certain period of time– for instance, your paycheck. Wealth, however, represents the store of resources you own. It is wealth that determines your ability to weather emergencies, move to a nice neighborhood, and make investments that enable you to grow your wealth.},type:paragraph}},{type:section,slideId:wealth,label:Wealth,sections:{children:{type:text,value:How unequal is wealth in the nations capital?},type:heading,depth:2},{children:{type:text,value:Asian Indian, Korean, Vietnamese, White, and Chinese families had household wealth values that were greater than the median net worth in the D.C. area. Conversely, African Black, US Black and Latino families had household wealth values that were much lower than the median value.},type:paragraph},{children:{type:text,value:D.C.’s wealth gaps are primarily driven by assets – specifically, the outsized accumulation of assets by White and Asian families. Accounting for all asset categories, US Black, African Black and Latino household median asset values were much lower than for other groups. Korean, Vietnamese, and Asian Indian households had the highest median values and were higher values than for Whites.},type:paragraph}},{type:section,slideId:assets,label:Assets,sections:{children:{type:text,value:Assets: A major driver of inequality in the nations capital},type:heading,depth:2},{children:{type:text,value:Assets are key to understanding not only peoples’ current wealth, but their ability to hold onto and grow their resources. Someone who has a large store of liquid assets is better able to weather financial shocks and emergencies. People who own their homes and own stock are better able to grow their wealth. Significant racial disparities exist when considering total assets, liquid assets, stock ownership and homeownership.},type:paragraph}},{type:section,slideId:debts,label:Debts,sections:{children:{type:text,value:Debts: A look at inequality},type:heading,depth:2},{children:{type:text,value:Debt can be an important barrier to a family’s ability to build wealth. For instance, higher education can lead to both higher earnings and burdensome student loan debt.},type:paragraph},{children:{type:text,value:In D.C., higher percentages of U.S. Black and African Black families hold student loan, medical, and unsecured debt. Conversely, lower percentages of Korean and White families hold these debts.},type:paragraph}},{type:section,slideId:financial-services,label:Financial Services,sections:{children:{type:text,value:Financial institutions and services},type:heading,depth:2},{children:{type:text,value:Compared to White households, fewer US born Black households owned checking or savings accounts in the region. African Black and Latino households were also less likely than Whites to have checking accounts. Chinese, Korean, Vietnamese, and Asian Indian households were more likely to have checking accounts than Whites.},type:paragraph}},{type:section,slideId:about,label:About,sections:{children:{type:text,value:About and credits},type:heading,depth:2},{children:{type:text,value:About the project},type:heading,depth:3},{children:{type:text,value:The Color of Wealth in the Nation’s Capital (Washington, D.C.) report explored racial and ethnic differences in net worth, focusing on Black families in Washington, D.C., and showed, through a chronicle of history in the city, how discrimination and systemic racism have contributed to today’s wealth gap in the nation’s capital. The 2007–09 Great Recession and housing crisis erased approximately half of Black and Latino households’ wealth, while Asians suffered the largest absolute loss in wealth. Asian and Latino households tended to live in geographic areas that were hit hardest by the housing crisis.},type:paragraph},{children:{type:text,value:Methodology \u0026 data collection},type:heading,depth:3},{children:{type:text,value:The Color of Wealth in the Nation’s Capital data was collected via a phone survey in 2014, in the DC metropolitan area (including parts of Alexandria and Arlington County, Virginia, as well as Frederick and Montgomery Counties in Maryland). Various sampling techniques were used to locate and identify an ethnically plural sample of specifically defined ethnic groups. The techniques included the following: directory-listed landline samples targeted to census tracts where specific ethnic groups were known to reside; cell phone random digit dialing samples drawn from rate centers that covered the targeted ethnic group zip codes; samples drawn from targeted zip codes based on billing address; and the use of surname-based lists targeting specific national origin groups. For this study, 600 surveys were completed in the Washington, D.C. metropolitan area.},type:paragraph},{children:{type:text,value:Credits \u0026 thanks},type:heading,depth:3},{children:{type:text,value:This project was made possible by the generous support of the Ford Foundation’s Building Economic Security Over a Lifetime (BESOL) initiative and the Annie E. Casey Foundation. We would like to thank the Samuel Dubois Cook Center on Social Equity at Duke University and the Insight Center for Community and Economic Development.The University of Virginia Center for Survey Research led the survey data collection. Graphicacy worked with the Institute team to visualize the data from the Color of Wealth in the Nation’s Capital study.},type:paragraph}}}},{city:tulsa,storyType:wealth,content:{city:tulsa,frontmatter:{city:Tulsa,description:The Color Wealth in Tulsa examines family wealth disparities at the local level in Tulsa with disaggregation by race, ethnicity, and tribal affiliation.,cover:CoW_Tulsa.png,logos:Justice-for-Greenwood-.png,Ford-Foundation.png,OK-Native-Assets-Coalition.png,reportLink:https://racepowerpolicy.org/wp-content/uploads/2024/01/Color-of-Wealth-Tulsa-Full-Report_December2021.pdf},storyType:wealth,content:{type:section,slideId:overview,label:Overview,sections:{children:{type:text,value:Overview},type:heading,depth:2},{children:{type:text,value:The Color of Wealth Tulsa report examined the wealth of Black American, Mexican, Native American, and White households residing in the Tulsa, Oklahoma Metropolitan Statistical Area. The findings presented in this report show that there is a clear racial, ethnic, and tribal pattern to assets, debts and wealth holdings in Tulsa. The report shows that White households have the highest asset holdings and often have some of the lowest burdens of debt. As a consequence, White households have the highest median net worth position in Tulsa. The report also shows that even though Native Americans have less wealth than White households, there are differences in wealth within the group.},type:paragraph},{children:{type:text,value:Wealth matters for building an equitable and prosperous Tulsa region. Many studies focus on income– the amount of money people make in a certain period of time– for instance, your paycheck. Wealth, however, represents the store of resources you own. It is wealth that determines your ability to weather emergencies, move to a nice neighborhood, and make investments that enable you to grow your wealth.},type:paragraph}},{type:section,slideId:wealth,label:Wealth,sections:{children:{type:text,value:How unequal is wealth in Tulsa?},type:heading,depth:2},{children:{type:text,value:White households have the highest median net worth position in Tulsa. Black, Mexican, and Native American households had a fraction of the wealth of White households..},type:paragraph},{children:{type:text,value:Wealth gaps in Tulsa are driven primarily by assets, rather than debts. White respondents had the highest median total assets values in Tulsa ($155,000). The median asset value was lowest among American Indians with No Tribal Enrollment, followed by Mexicans, Black, and American Indians with Other Tribal Enrollment.},type:paragraph}},{type:section,slideId:assets,label:Assets,sections:{children:{type:text,value:Assets: A major driver of wealth inequality in Tulsa},type:heading,depth:2},{children:{type:text,value:Assets are key to understanding not only peoples’ current wealth, but their ability to hold onto and grow their resources. Someone who has a large store of liquid assets is better able to weather financial shocks and emergencies. People who own their homes and own stock are better able to grow their wealth. Significant racial disparities exist when considering total assets, liquid assets, stock ownership and homeownership. White families in Tulsa have higher rates of asset ownership and median asset values across the board.},type:paragraph}},{type:section,slideId:debts,label:Debts,sections:{children:{type:text,value:Debts: A look at inequality},type:heading,depth:2},{children:{type:text,value:Debt can be an important barrier to a family’s ability to build wealth. For instance, higher education can lead to both higher earnings and burdensome student loan debt.},type:paragraph},{children:{type:text,value:In Tulsa, a notably higher percentage of Black families hold student debt. Higher percentages of Muscogee families hold student loan, medical, and unsecured debt.},type:paragraph}},{type:section,slideId:financial-services,label:Financial Services,sections:{children:{type:text,value:Financial institutions and services},type:heading,depth:2},{children:{type:text,value:Payday loans are small, unsecured loans with high interest rates that individuals seek as last-resort emergency financing after other sources of credit have been exhausted.\nUsers may intend to borrow and quickly return a small amount of money but instead find themselves in a cycle of debt.},type:paragraph},{children:{type:text,value:The State of Oklahoma Department of Consumer Credit indicated that there were 320 payday lenders in the state with the majority concentrated in Oklahoma City and Tulsa. Lenders in the state tend to target economically vulnerable populations and especially those serving in the military.},type:paragraph},{children:{type:text,value:Looking closely at payday loan usage in Tulsa, Muscogee households were most likely to use payday lending. This was over twice that of respondents who were Cherokee, Other Tribal Enrollment, American Indian with No Tribal enrollment, and Black. Additionally, US born Mexicans were three times as likely to use payday loans than their immigrant counterparts. A larger percentage of White respondents used payday loans in Tulsa than in any of the other metropolitan areas where Color of Wealth studies have been conducted.},type:paragraph}},{type:section,slideId:about,label:About,sections:{children:{type:text,value:About and credits},type:heading,depth:2},{children:{type:text,value:About the project},type:heading,depth:3},{children:{type:text,value:The Color of Wealth Tulsa report examined the wealth position of Black American, Mexican, Native American, and White households residing in the Tulsa, Oklahoma Metropolitan Statistical Area. The findings presented in this report show that there is a clear racial, ethnic, and tribal pattern to assets, debts and wealth holdings in Tulsa. The report shows that White households have the highest asset holdings and often have some of the lowest burdens of debt. As a consequence, White households have the highest median net worth position in Tulsa. The report also shows that even though Native Americans have less wealth than White households, there are differences in wealth within the group.},type:paragraph},{children:{type:text,value:Methodology \u0026 data collection},type:heading,depth:3},{children:{type:text,value:The Color of Wealth in Tulsa data was collected towards the end of 2013 and primarily in 2014. The research team used a variety of techniques to generate the sample, including obtaining directory-listed landline and cell phone random digit samples in census tracts and zip codes where target ethnic groups were known to reside in the Tulsa metropolitan statistical area. Other techniques included the use of surname based lists targeting specific national origin groups. For this study, a total of 396 surveys were completed.},type:paragraph},{children:{type:text,value:Credits \u0026 thanks},type:heading,depth:3},{children:{type:text,value:This project was made possible by the generous support of the Ford Foundation’s Building Economic Security Over a Lifetime (BESOL) initiative. We are grateful to the team at the Justice for Greenwood Foundation and Christy Finsel (Osage) at the Oklahoma Native Assets Coalition, Inc. Graphicacy worked with the Institute team to visualize the data from the Color of Wealth Tulsa study.},type:paragraph}}}},{city:miami,storyType:wealth,content:{city:miami,frontmatter:{city:Miami,description:The Color Wealth in Miami examines family wealth disparities at the local level in Miami with disaggregation by race and ethnicity.,cover:CoW_Miami.png,logos:Samual-Dubois-Cook.png,Insight-Center.png,Kirwan-Institute.png,reportLink:https://racepowerpolicy.org/wp-content/uploads/2024/01/Color-of-Wealth-Miami.pdf},storyType:wealth,content:{type:section,slideId:overview,label:Overview,sections:{children:{type:text,value:Overview},type:heading,depth:2},{children:{type:text,value:In Miami it is notable that communities of color– specifically Black Americans, Afro-Caribbean groups and Latinxs communities– outnumber non-Hispanic Whites.\nThe Color of Wealth in Miami study found that asset inequality across racial and ethnic groups likely accounted for more of the racial wealth gap in the Greater Miami area than debt. When disaggregating Miami Latinx communities by race, the study found that among Latinx groups, race appeared to have some impact on socioeconomic outcomes. By comparison, ancestral origin played a much smaller role in determining socioeconomic outcomes when examining those who self-identify as racially Black.},type:paragraph},{children:{type:text,value:Wealth matters for building an equitable and prosperous Miami region. Despite the importance of wealth for economic security and mobility, wealth is rarely the target of policy solutions. And that needs to change.},type:paragraph}},{type:section,slideId:wealth,label:Wealth,sections:{children:{type:text,value:How unequal is wealth in the greater Miami area?},type:heading,depth:2},{children:{type:text,value:Median wealth (or net worth) for White households was estimated at $107,000. In contrast, Puerto Rican households had negative median wealth (-$3,900). US Blacks had a fraction of the wealth of White households, at $3,700. Of all groups apart from non-Latinx Whites, Cuban households had the highest median wealth at $22,000.},type:paragraph},{children:{type:text,value:Wealth gaps are primarily driven by assets – specifically, the disparate accumulation of assets by White families. The study found that asset inequality across racial and ethnic groups likely accounted for more of the racial wealth gap in the Greater Miami area than debt. Whites own far more assets than any other racial group in the Greater Miami area. While White families in the Greater Miami area had a total median value of assets at $113,500, other families held total assets valued at 6 - 23% of that of White families.},type:paragraph}},{type:section,slideId:assets,label:Assets,sections:{children:{type:text,value:Assets: A major driver of wealth inequality in the greater Miami area},type:heading,depth:2},{children:{type:text,value:Assets are key to understanding not only peoples’ current wealth, but their ability to hold onto and grow their resources. Someone who has a large store of liquid assets is better able to weather financial shocks and emergencies. People who own their homes and own stock are better able to grow their wealth. Significant racial disparities exist when considering total assets, liquid assets, stock ownership and homeownership. White families in Miami have higher rates of asset ownership and median asset values across the board.},type:paragraph}},{type:section,slideId:debts,label:Debts,sections:{children:{type:text,value:Debts: A look at inequality},type:heading,depth:2},{children:{type:text,value:Debt can be an important barrier to a family’s ability to build wealth. For instance, higher education can lead to both higher earnings and burdensome student loan debt.},type:paragraph}},{type:section,slideId:financial-services,label:Financial Services,sections:{children:{type:text,value:Financial institutions and services},type:heading,depth:2},{children:{type:text,value:The findings in the study suggest a possible market gap for affordable and appropriate financial services in communities of color. The unfortunate irony is that those who are less likely to be banked may be living paycheck to paycheck and are also unable to save enough money in their accounts to meet the minimum banking requirements. Rather than using a bank for financial transactions, many in these communities may use alternative financial institutions, which can charge higher rate transaction fees than banks for cashier’s checks, money orders, or money wires.},type:paragraph},{children:{type:text,value:US blacks, Caribbean blacks, Puerto Ricans, South Americans, Other Hispanics and Cubans were far less likely to own checking accounts than White households.},type:paragraph}},{type:section,slideId:about,label:About,sections:{children:{type:text,value:About and credits},type:heading,depth:2},{children:{type:text,value:About the project},type:heading,depth:3},{children:{type:text,value:The Color of Wealth in Miami study provided an ethnically plural context for comparative analysis, in that communities of color (specifically Black Americans, Afro-Caribbean groups and Latinxs communities) are in aggregate more populous compared to Whites (non-Latinxs). In terms of income, White household income tended to be higher than others, however, differences in wealth accumulation were much larger. The study found that asset inequality across racial and ethnic groups likely accounted for more of the racial wealth gap in the Miami MSA than debt. When disaggregating Miami Latinx communities by race, the study found that among Latinx groups, race appeared to have some impact on socioeconomic outcomes. By comparison, ancestral origin played a much smaller role in determining socioeconomic outcomes when examining those who self-identify as racially Black.},type:paragraph},{children:{type:text,value:Methodology \u0026 data collection},type:heading,depth:3},{children:{type:text,value:The Color of Wealth Miami data was collected between 2013 and 2014 for the Greater Miami area (Miami-Fort Lauderdale-West Palm Beach, Florida Metropolitan Statistical Area). Various sampling techniques were used to locate and identify an ethnically plural sample consisting of the specifically defined ethnic groups. The techniques included the following: directory-listed landline samples targeted to census tracts where specific ethnic groups were known to reside; cell phone random digit dialing samples drawn from rate centers that covered the targeted ethnic group zip codes; samples drawn from targeted zip codes on the basis of billing address; and the use of surname-based lists targeting specific national origin groups. In the Miami MSA, a total of 614 surveys were completed (inclusive of a category that we labeled NEC or not elsewhere classified, and that was not formally examined in this report.},type:paragraph},{children:{type:text,value:Credits \u0026 thanks},type:heading,depth:3},{children:{type:text,value:This project was made possible by the generous support of the Ford Foundation’s Building Economic Security Over a Lifetime (BESOL) initiative. We would like to thank the Samuel Dubois Cook Center on Social Equity at Duke University, the Kirwan Institute for the Study of Race and Ethnicity, Glenn College of Public Affairs, Department of Economics and Sociology, College of Arts and Sciences at The Ohio State University, the Federal Reserve Bank of Atlanta and Florida International University.Graphicacy worked with the Institute team to visualize the data from the Color of Wealth Miami study.},type:paragraph}}}},{city:los-angeles,storyType:wealth,content:{city:los-angeles,frontmatter:{city:Los Angeles,description:The Color Wealth in Los Angeles examines family wealth disparities at the local level in LA with disaggregation by race and ethnicity.,cover:CoW_LA.png,logos:Fed-SF.png,UCLA.png,Duke.png,Insight-Center.png,reportLink:https://racepowerpolicy.org/wp-content/uploads/2024/01/Color-of-Wealth-Los-Angeles.pdf},storyType:wealth,content:{type:section,slideId:overview,label:Overview,sections:{children:{type:text,value:Overview},type:heading,depth:2},{children:{type:text,value:The Color of Wealth Los Angeles study includes asset and debt information on a number of disaggregated groups, thereby improving understanding of disparities in income and wealth. These groups include the following in Los Angeles: Mexicans, Latinos (including Puerto Ricans, Cubans, Salvadorans, Central Americans, and Europeans), Asian Indians, Chinese, Japanese, Korean, Filipino, and Vietnamese communities. Among African Americans, data are disaggregated by nativity—U.S. black descendants and recent immigrants from the African continent.},type:paragraph},{children:{type:text,value:Wealth matters for building an equitable and prosperous Los Angeles region. Despite the importance of wealth for economic security and mobility, wealth is rarely the target of policy solutions. And that needs to change.},type:paragraph}},{type:section,slideId:wealth,label:Wealth,sections:{children:{type:text,value:How unequal is wealth in },{children:{type:text,value:Los Angeles},type:strong},{type:text,value:?},type:heading,depth:2},{children:{type:text,value:Racial and ethnic differences in net worth show the extreme financial vulnerability faced by some nonwhite households. Striking ethnoracial differences are noticeable when examining total household wealth.},type:paragraph},{children:{type:text,value:Wealth gaps in Los Angeles are primarily driven by assets, rather than debts. The Color of Wealth in Los Angeles affords a mixed picture when Whites are compared with various communities of color. For instance, when examining assets, on the one hand, White households were more likely to be homeowners, along with Chinese and Japanese households - and Mexicans, African Black, US Blacks, Asian Indians and Koreans had lower levels of homeownership. And, on the other hand, Japanese, Asian Indians and Chinese had higher rates of owning stocks or mutual funds (compared with Whites) with even lower rates for Koreans, US Black, Vietnamese and Mexicans.},type:paragraph}},{type:section,slideId:assets,label:Assets,sections:{children:{type:text,value:Assets: A major driver of wealth inequality in Los Angeles},type:heading,depth:2},{children:{type:text,value:Assets are key to understanding not only peoples’ current wealth, but their ability to hold onto and grow their resources. Someone who has a large store of liquid assets is better able to weather financial shocks and emergencies. People who own their homes and own stock are better able to grow their wealth. Significant racial disparities exist when considering total assets, liquid assets, stock ownership and homeownership.},type:paragraph}},{type:section,slideId:debts,label:Debts,sections:{children:{type:text,value:Debts: A look at inequality},type:heading,depth:2},{children:{type:text,value:Debt can be an important barrier to a family’s ability to build wealth. For instance, higher education can lead to both higher earnings and burdensome student loan debt.},type:paragraph}},{type:section,slideId:financial-services,label:Financial Services,sections:{children:{type:text,value:Financial institutions and services},type:heading,depth:2},{children:{type:text,value:Being banked, or having a checking account or savings account, is critical for everyday financial efficacy. Given the minimum account value requirements to avoid fees at most banks, rather than using a bank for financial transactions, many (in low-wealth and/or communities of color) may use alternative financial institutions, which charge higher rate transaction fees than banks for cashier’s checks, money orders, or wiring money.},type:paragraph},{children:{type:text,value:For instance, the study found that Mexicans, US blacks, and Vietnamese are far less likely to own checking accounts than White and Japanese households.},type:paragraph}},{type:section,slideId:about,label:About,sections:{children:{type:text,value:About and credits},type:heading,depth:2},{children:{type:text,value:About the project},type:heading,depth:3},{children:{type:text,value:The Color of Wealth Los Angeles study includes asset and debt information on a number of disaggregated groups, thereby improving understanding of disparities in income and wealth. These groups include the following in Los Angeles: Mexicans, Latinos (including Puerto Ricans, Cubans, Salvadorans, Central Americans, and Europeans), Asian Indians, Chinese, Japanese, Korean, Filipino, and Vietnamese communities. Among African Americans, data are disaggregated by nativity—U.S. black descendants and recent immigrants from the African continent.},type:paragraph},{children:{type:text,value:Methodology \u0026 data collection},type:heading,depth:3},{children:{type:text,value:A telephone survey was conducted in the Los Angeles MSA (including Los Angeles and Orange counties). Various sampling techniques were used to locate and identify an ethnically plural sample consisting of the specifically defined ethnic groups. The techniques included the following: directory-listed landline samples targeted to census tracts where specific ethnic groups were known to reside; cell phone random digit dialing samples drawn from rate centers that covered the targeted ethnic group zip codes; samples drawn from targeted zip codes on the basis of billing address; and the use of surname-based lists targeting specific national origin groups. A total of 733 surveys were completed for the Los Angeles MSA.},type:paragraph},{children:{type:text,value:Credits \u0026 thanks},type:heading,depth:3},{children:{type:text,value:This project was made possible by the generous support of the Ford Foundation’s Building Economic Security Over a Lifetime (BESOL) initiative. We would like to thank the Samuel Dubois Cook Center on Social Equity at Duke University, UCLA’s Center for Neighborhood Knowledge, the Insight Center for Community and Economic Development, and the Federal Reserve Bank of San Francisco. The University of Virginia’s Center for Survey Research led the survey data collection. Graphicacy worked with the Institute team to visualize the data from the Color of Wealth Los Angeles study.},type:paragraph}}}},{city:chicago,storyType:segregation,content:{city:chicago,frontmatter:{city:Chicago,description:Understanding the experiences of and wealth positions of Black American residents living in various neighborhoods was an important goal of this study.,cover:CoW_Chicago_Segregation.png,logos:Chicago_Community_Trust.png,reportLink:null},storyType:segregation,content:}},{city:chicago,storyType:wealth,content:{city:chicago,frontmatter:{city:Chicago,description:Understanding the experiences of and wealth positions of Black American residents living in various neighborhoods was an important goal of this study.,cover:CoW_Chicago.png,logos:Chicago_Community_Trust.png,Rand.png,Kresge-foundation.png,Polk-brothers-foundation.png,JPMorgan-Chase.png,reportLink:https://racepowerpolicy.org/color-of-wealth-in-chicago},storyType:wealth,content:{type:section,slideId:overview,label:Overview,sections:{children:{type:text,value:Overview},type:heading,depth:2},{children:{type:text,value:In Chicago, },{children:{type:text,value:the median net wealth for Black families is $0},type:strong},{type:text,value:, while the },{children:{type:text,value:median net wealth for white families is $210,000},type:strong},{type:text,value:.},type:paragraph},{children:{type:text,value:Many studies focus on income, but it is wealth that better positions families (and individuals) to finance elite educations, access capital to start a business, pay for expensive medical procedures, reside in higher amenity neighborhoods, exert political influence; purchase better counsel if confronted with an expensive legal system, leave a bequest, and withstand many financial hardships resulting from any number of emergencies or shocks, including a global pandemic.},type:paragraph},{children:{type:text,value:With the goal of informing policy and systems changes that reduce the racial wealth gap and move the Chicago region toward shared prosperity, our study examines the relative wealth, asset, and debt positions of Black, Mexican (born in the US and abroad), Puerto Rican and White families across 10 counties in the Chicago metropolitan area.},type:paragraph}},{type:section,slideId:wealth,label:Wealth,sections:{children:{type:text,value:How unequal is wealth in Chicago},type:heading,depth:2},{children:{type:text,value:Our analysis shows that the median net worth in Chicago is $122,800. However, this number masks severe wealth inequality across racial and ethnic groups.},type:paragraph},{children:{type:text,value:White families in Chicago have drastically better wealth outcomes than all others with over five times the amount of wealth as Mexican American families, the group with the next highest level of wealth. Black families have a net worth (or wealth) of $0, which means that at the median, Black families’ debts cancel out their assets.},type:paragraph},{children:{type:text,value:Many tout education as the solution to the racial wealth gap, but often the racial wealth gap increases at higher levels of education. For example, when comparing respondents without bachelor’s degrees, White families have $135,700 more wealth than Black families. However, this gap increases to $260,000 for Black and White respondents with a bachelors degree.},type:paragraph},{children:{type:text,value:To better understand what is driving these inequities – and where solutions might lie – we broke wealth down into its two components: assets and debts.},type:paragraph},{children:{type:text,value:Chicago’s wealth gaps are primarily driven by assets – specifically, the outsized accumulation of assets by White families. While White families in Chicago have a median asset value of $325,500, the assets of the other groups examined in our survey range from $20,000 to $128,000.},type:paragraph}},{type:section,slideId:assets,label:Assets,sections:{children:{type:text,value:Assets: A look at inequality},type:heading,depth:2},{children:{type:text,value:Assets are key to understanding not only peoples’ current wealth, but their ability to hold onto and grow their resources. Someone who has a large store of liquid assets is better able to weather financial shocks and emergencies. People who own their homes and own stock are better able to grow their wealth.},type:paragraph},{children:{type:text,value:Significant racial disparities exist when considering total assets, liquid assets, stock ownership and homeownership. White families in Chicago have higher rates of asset ownership and median asset values across the board.},type:paragraph}},{type:section,slideId:debts,label:Debts,sections:{children:{type:text,value:Debts: A look at inequality},type:heading,depth:2},{children:{type:text,value:Debt can be an important barrier to a family’s ability to build wealth. For instance, higher education can lead to both higher earnings and burdensome student loan debt.},type:paragraph},{children:{type:text,value:In Chicago, higher percentages of Black families hold student debt as family members pursue higher education. Puerto Rican and US-born Mexican families are subject to disproportionally high levels of medical debt. Foreign-born Mexican families hold higher-than-median levels of student loan debt.},type:paragraph}},{type:section,slideId:financial-services,label:Financial Services,sections:{children:{type:text,value:Financial institutions and services},type:heading,depth:2},{children:{type:text,value:In many segregated Black and Brown neighborhoods, there are no mainstream banks and instead the only financial services available are payday lenders and check cashing centers, which charge exorbitant interest rates. Workers whose paychecks do not cover their living expenses often rely on check cashers to cover these day-to-day expenses, sometimes paying 297% in interest rates. Payday loans are relatively high-cost personal loans that workers seek as a last resort after they exhaust all credit options. Borrowers are often unable to pay back their original loan and end up in a cycle of debt.},type:paragraph}},{type:section,slideId:about,label:About,sections:{children:{type:text,value:About and credits},type:heading,depth:2},{children:{type:text,value:About the project},type:heading,depth:3},{children:{type:text,value:The Color of Wealth in Chicago report examines and maps the relative asset and debt positions of families — Black Americans, Mexicans born in the US and abroad, Puerto Ricans, and Whites, across the Chicago metropolitan area. The study was conducted towards the tempering of the COVID-19 pandemic (in its later period) and introduces additional themes that examine the relationship of financial wealth positions to political sentiments, civic engagement, health status, incarceration, and energy and housing (in)security.},type:paragraph},{children:{type:text,value:Methodology and data collection},type:heading,depth:3},{children:{type:text,value:The data was collected in the city of Chicago, Cook County, DeKalb County, DuPage County, Grundy County, Kane County, Kankakee County, Kendall County, Lake County, McHenry County, and Will County. The survey was administered mainly through web-based questionnaires supplemented with telephone surveys when necessary and generated 1,732 completed interviews. The core data was collected in three waves from July to December 2022. Supplemental data was collected between January and March 2023.},type:paragraph},{children:{type:text,value:The study was conducted towards the tempering of the COVID-19 pandemic (in its later period) and introduces additional themes that examine the relationship of financial wealth positions to political sentiments, civic engagement, health status, incarceration, and energy and housing (in) security.},type:paragraph},{children:{type:text,value:Credits \u0026 thanks},type:heading,depth:3},{children:{type:text,value:We are grateful to The Chicago Community Trust for generously providing financial support to The Color of Wealth Chicago project and study and to the Institute. We would additionally like to thank The Kresge Foundation, the Polk Brothers Foundation and JPMorgan Chase for their support for this project. We would like to thank our survey firm, The RAND Corporation and Graphicacy who worked with the Institute team to visualize the data from the Color of Wealth Chicago study.},type:paragraph}}}},{city:boston,storyType:wealth,content:{city:boston,frontmatter:{city:Boston,description:The Color Wealth in Boston examines racial disparities in family wealth at the local level in Boston.,cover:CoW_Boston.png,logos:Fed-Boston.png,Duke.png,reportLink:https://racepowerpolicy.org/wp-content/uploads/2024/01/Color-of-Wealth-Boston.pdf},storyType:wealth,content:{type:section,slideId:overview,label:Overview,sections:{children:{type:text,value:Overview},type:heading,depth:2},{children:{type:text,value:The Color of Wealth Boston study focused on estimates for Black Americans, Caribbean Blacks, Cape Verdeans, Puerto Ricans, and Dominicans in the Boston Metropolitan Statistical Area. The study revealed striking disparities. For example, there were extremely low homeownership rates among communities of color. With respect to debt, several key findings emerged from the study. Because households from communities of color often hold higher-cost debt, have higher debt-to-income ratios, and are more likely to be denied credit, their ability to build wealth is crippled and contributes to lower asset ownership and lower asset values when compared with White households.},type:paragraph},{children:{type:text,value:Wealth matters for building an equitable and prosperous Boston Metropolitan Statistical Area region. Despite the importance of wealth for economic security and mobility, wealth is rarely the target of policy solutions. And that needs to change.},type:paragraph}},{type:section,slideId:wealth,label:Wealth,sections:{children:{type:text,value:How unequal is wealth in Boston?},type:heading,depth:2},{children:{type:text,value:Nonwhite households have only a fraction of the net worth attributed to White households. The median net worth for White households in Greater Boston was $247,500 while for non-immigrant Black households was $8. (Note: graph values are rounded to the nearest $100.)},type:paragraph},{children:{type:text,value:Boston’s wealth gaps are primarily driven by assets – specifically, the outsized accumulation of assets by White families. Whites own far more assets than every other racial group. The median total value of assets for White families was $251,500. The median asset values for communities of color were far below this threshold, ranging from $700 - $15,000.},type:paragraph}},{type:section,slideId:assets,label:Assets,sections:{children:{type:text,value:Assets: A major driver of wealth inequality in Boston},type:heading,depth:2},{children:{type:text,value:Assets are key to understanding not only peoples’ current wealth, but their ability to hold onto and grow their resources. Someone who has a large store of liquid assets is better able to weather financial shocks and emergencies. People who own their homes and own stock are better able to grow their wealth.},type:paragraph},{children:{type:text,value:Significant racial disparities exist when considering total assets, liquid assets, stock ownership and homeownership. White families in Boston have higher rates of asset ownership and median asset values across the board.},type:paragraph}},{type:section,slideId:debts,label:Debts,sections:{children:{type:text,value:Debts: A look at inequality},type:heading,depth:2},{children:{type:text,value:Debt can be an important barrier to a family’s ability to build wealth. For instance, higher education can lead to both higher earnings and burdensome student loan debt.},type:paragraph},{children:{type:text,value:In Boston, higher than average percentages of US Black families, Caribbean Black, and Other Hispanic families hold student loan, medical and unsecured debt.},type:paragraph}},{type:section,slideId:financial-services,label:Financial Services,sections:{children:{type:text,value:Financial institutions and services},type:heading,depth:2},{children:{type:text,value:Low rates of being banked indicate that many in these populations are living paycheck to paycheck - unable to save enough money in their accounts to meet the minimum banking requirements. However prudent it may seem to remain unbanked and thus pay high transaction fees, these circumstances make it difficult to accumulate savings and begin to earn interest on owned funds. White, Caribbean Black, Black American and Cape Verdean families had some of the highest rates of owning a checking account.},type:paragraph}},{type:section,slideId:about,label:About,sections:{children:{type:text,value:About and credits},type:heading,depth:2},{children:{type:text,value:About the project},type:heading,depth:3},{children:{type:text,value:The Color of Wealth Boston study focused on estimates for Black Americans, Caribbean Blacks, Cape Verdeans, Puerto Ricans, and Dominicans in the Boston Metropolitan Statistical Area. The study revealed disparities in both financial and tangible assets that were striking. For example, there were extremely low homeownership rates among communities of color. With respect to debt, several key findings emerged from the study. Because households from communities of color often have higher-cost debt, have higher debt-to-income ratios, and are more likely to be denied credit, their ability to build assets is crippled and contributes to lower asset ownership and lower asset values when compared with White households.},type:paragraph},{children:{type:text,value:Methodology \u0026 data collection},type:heading,depth:3},{children:{type:text,value:The Color of Wealth Boston survey was conducted in the Boston Metropolitan Statistical Area between 2013 and 2014. Various sampling techniques were used to locate and identify an ethnically plural sample consisting of specifically defined ethnic groups. The techniques included the following: directory-listed landline samples targeted to census tracts where specific ethnic groups were known to reside; cell phone random digit dialing samples drawn from rate centers that covered the targeted ethnic group zip codes; samples drawn from targeted zip codes based on billing address; and the use of surname-based lists targeting specific national origin groups. In the Boston MSA, 403 surveys were completed.},type:paragraph},{children:{type:text,value:Credits \u0026 thanks},type:heading,depth:3},{children:{type:text,value:This project was made possible by the generous support of the Ford Foundation’s Building Economic Security Over a Lifetime (BESOL) initiative and the Federal Reserve Bank of Boston. Additionally, we would like to thank the Research Network on Racial and Ethnic Inequality at the Duke Consortium on Social Equity at Duke University. Tom M. Guterbock at the University of Virginia directed the survey collection. Graphicacy worked with the Institute team to visualize the data from the Color of Wealth Boston study.},type:paragraph}}}},{city:baltimore,storyType:wealth,content:{city:baltimore,frontmatter:{city:Baltimore,description:The Color Wealth in Baltimore examines disparities in family wealth at the local level in Baltimore with disaggregation by race and incarceration status.,cover:CoW_Baltimore.png,logos:Annie-E-Casey-Foundation.png,RTI_International.png,Samual-Dubois-Cook.png,Ford-Foundation.png},storyType:wealth,content:{type:section,slideId:overview,label:Overview,sections:{children:{type:text,value:Overview},type:heading,depth:2},{children:{type:text,value:The Color of Wealth in Baltimore project examined the intersection of race and incarceration on Black and White families and individuals in the city of Baltimore and the differences, across race, in net worth (or wealth accumulation), assets and debts.},type:paragraph},{children:{type:text,value:A respondent who indicated that they themselves (or someone in their family) had experienced incarceration (or was currently incarcerated) counted as someone with exposure to incarceration.},type:paragraph},{children:{type:text,value:The study found that regardless of incarceration, being Black placed individuals and families in a far more vulnerable wealth position than being White. Surprisingly, the exposure to incarceration was comparatively less severe for Black families, in relation to White households, because the penalty of being Black outweighed the penalty of incarceration.},type:paragraph},{children:{type:text,value:Wealth matters for building an equitable and prosperous Baltimore. Many studies focus on income– the amount of money people make in a certain period of time– for instance, your paycheck. Wealth, however, represents the store of resources you own. It is wealth that determines your ability to weather emergencies, move to a nice neighborhood, and make investments that enable you to grow your wealth.},type:paragraph}},{type:section,slideId:wealth,label:Wealth,sections:{children:{type:text,value:How unequal is },{children:{type:text,value:wealth},type:strong},{type:text,value: in Baltimore},type:heading,depth:2},{children:{type:text,value:While there are tremendous wealth disparities in Baltimore, race and incarceration play a huge role in determining one’s wealth position. Black families and individuals have worse socioeconomic outcomes regardless of incarceration exposure. The wealth position of being White with exposure to incarceration (at $2,100), was still higher than being Black without exposure to incarceration (at $0).},type:paragraph},{children:{type:text,value:Wealth gaps are primarily driven by assets – specifically, the disparate accumulation of assets by White families. Whites own far more assets than Black households regardless of exposure to incarceration. For instance, White families with exposure to incarceration held more assets ($3,600) than Black families with no exposure to incarceration ($2,700) and Black families exposed to incarceration ($0).},type:paragraph}},{type:section,slideId:assets,label:Assets,sections:{children:{children:{type:text,value:Assets:},type:strong},{type:text,value: A major driver of wealth inequality in Baltimore},type:heading,depth:2},{children:{type:text,value:Assets are key to understanding not only peoples’ current wealth, but their ability to hold onto and grow their resources. Someone who has a large store of liquid assets is better able to weather financial shocks and emergencies. People who own their homes and own stock are better able to grow their wealth. Significant racial disparities exist when considering total assets, liquid assets, stock ownership and homeownership.},type:paragraph},{children:{type:text,value:White families with no experience of incarceration have higher rates of asset ownership and median asset values across the board. Notably, however, White families with incarceration experiences had higher total asset values, liquid assets values, and rates of liquid asset, stock and homeownership than Black families with no incarceration exposure.},type:paragraph}},{type:section,slideId:debts,label:Debts,sections:{children:{type:text,value:Debts: A look at inequality},type:heading,depth:2},{children:{type:text,value:Debt can be an important barrier to a family’s ability to build wealth. For instance, higher education can lead to both higher earnings and burdensome student loan debt.},type:paragraph}},{type:section,slideId:financial-services,label:Financial Services,sections:{children:{type:text,value:Financial institutions and services},type:heading,depth:2},{children:{type:text,value:The findings in the study suggest a possible market gap for affordable conventional financial services for Black communities and families. The unfortunate irony is that those who are less likely to be banked may be living paycheck to paycheck and are also unable to save enough money in their accounts to meet the minimum banking requirements. Rather than using a bank for financial transactions, many use check cashing institutions, pawn shops and/or payday loans, which can charge higher rate transaction fees than conventional banks.},type:paragraph},{children:{type:text,value:In Baltimore, White households, with exposure to incarceration, were banked at a higher percentage compared to Black households without exposure to incarceration.},type:paragraph}},{type:section,slideId:about,label:About,sections:{children:{type:text,value:About and credits},type:heading,depth:2},{children:{type:text,value:About the project},type:heading,depth:3},{children:{type:text,value:The Color of Wealth in Baltimore project examined the intersection of race and incarceration on Black and White families and individuals in the city of Baltimore and the differences, across race, in net worth (or wealth), assets and debts.},type:paragraph},{children:{type:text,value:The study found that regardless of incarceration, being Black placed individuals and families in a far more vulnerable wealth position than being White. Surprisingly, the exposure to incarceration was comparatively less severe for Black families, in relation to White households, because the penalty of being Black outweighed the penalty of incarceration.},type:paragraph},{children:{type:text,value:Methodology \u0026 data collection},type:heading,depth:3},{children:{type:text,value:The Color of Wealth in Baltimore data was collected in the city of Baltimore between 2016 and 2017. The survey was mostly done by random digit dialing of cell phones and a small portion of respondents were recruited via Facebook and Instagram. For this study, a total of 254 surveys were completed.},type:paragraph},{children:{type:text,value:Credits \u0026 thanks},type:heading,depth:3},{children:{type:text,value:This project was made possible by the generous support of the Ford Foundation’s Building Economic Security Over a Lifetime (BESOL) initiative and the Annie E. Casey Foundation. We would like to thank the Samuel Dubois Cook Center on Social Equity at Duke University. RTI International led the survey data collection. Graphicacy worked with the Institute team to visualize the data from the Color of Wealth in Baltimore study.},type:paragraph}}}},navigation:baltimore,boston,chicago,los-angeles,miami,tulsa,washington-dc},__N_SSG:true},page:/,query:{},buildId:3M7qm4ZHMjVrzJVNOsrMS,runtimeConfig:{siteUrl:colorofwealth.org},isFallback:false,gsp:true,scriptLoader:}/script>/body>/html>
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