2e:null 2f:["$","title",null,{"children":"Population Density and Social Vulnerability: An Exploration of Correlation | Anna D | Observable"}] 34:T4f3,usa = html`

Average Social Vulnerability Score by StateThe Social Vulnerability score is calculated from 4 metrics that are developed from over a dozen Census measures

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Social Vulnerability Score MetricsComparing the four Social Vulnerability Index (SVI) metrics across states

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Social Vulnerability by Population Density, across the USThis visualization is looking at the relationship between population denisty and social vulnerability across the United States. The higher a social vulnerability score (0-1), the more prevalence of

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Average Socioeconomic Status ScoreThis metric factors in: population below poverty, unemployment, income, population with no high school diploma

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Average Housing Composition & DisabilityThis metric factors in: population ages 65+ or 17 and younger; civilians with a disability; single-parent households

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Average Minority/Language ScoreThis metric factors in: minority population, and population ages 5+ who speak English "less than well"

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Average Housing Type/Transportation ScoreThis metric factors in: population living in multi-unit structures, mobile homes, or group quarters; households with crowded living; households without a vehicle

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Population Density Score? I understand Population Density, but not the score. Thanks","create_time":"$D2022-11-15T19:59:04.481Z","update_time":null,"resolved":false,"user":{"type":"individual","id":"6acfb37a2b09163b","login":"chelsea","name":"Chelsea","avatar_url":"https://avatars-next.observableusercontent.com/241a4eb9631ca79edbadd342e7b73c9123394c30c79f0ce2a4ba4c4169862466","tier":null}}],"custom_thumbnail":false,"trashed":false,"lapsed":null,"subscribed":null,"forks":0,"collection":{"id":"a70cb5596dbfe2cf","slug":"cs7295-project","title":"CS7295 Project","owner":{"id":"1155a581d86b11e0","login":"amdaccache","name":"Anna D"}},"type":"notebook","body":{"title":"Population Density and Social Vulnerability: An Exploration of Correlation","cells":[{"id":0,"value":"# Population Density and Social Vulnerability: An Exploration of Correlation","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":5,"value":"By [Anna Daccache](https://observablehq.com/@amdaccache) for Professor John Alexis Guerra Gómez' Spring 2022 section of [CS7295: Special Topics in Data Visualization](https://johnguerra.co/classes/data_visualization_spring_2022/).\n\n\n[Tweet](https://twitter.com/annadaccache97/status/1522294967544082433)\n\n\n[Youtube Video](https://www.youtube.com/watch?v=2B3o78HiwwY&feature=youtu.be)","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":121,"value":"### Example Insight \n\nZip codes with the highest (metropolitan areas, scores between 1.0-3.0) and lowest population densities (rural areas, scores between 10.0-10.9) will have higher SVI scores.\n* This would take into account scores from the SVI dataset (ordinal) and case counts (quantitative) as well as RUCA codes (categorical).\n* This will serve as an exploration and comparison of how population density informs social vulnerability.","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":418,"value":"When considering the health of populations, the factors that play into that are widespread. The type of environment someone lives in, income, education levels, if they live in a city or suburb; these are all factors that play into the inequity of health outcomes. To examine health equity in the United States, it is important to consider what makes populations vulnerable. The Center for Disease Control's Social Vulnerability Index (SVI) is a metric calculated from Census measures to provide both an overall vulnerability score, and scores across 4 metric themes: socioeconomic status, housing composition & disability, minority population & language, and housing type & transportation. In exploring this index in conjunction with the CDC's Rural Urban Commuting Codes, which inform the population density of an area, we hope to develop a better understanding of what may set populations up with regards to public health outcomes. ","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":356,"value":"$34","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":357,"value":"{\n usa;\n var divElement = document.getElementById('viz1651695221069'); var vizElement = divElement.getElementsByTagName('object')[0]; vizElement.style.width='100%';vizElement.style.height=(divElement.offsetWidth*0.75)+'px'; var scriptElement = document.createElement('script'); scriptElement.src = 'https://public.tableau.com/javascripts/api/viz_v1.js'; vizElement.parentNode.insertBefore(scriptElement, vizElement);}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":453,"value":"* Marks: bars (lines)\n* Channels: length for magnitude","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":422,"value":"Here we can see that Mississippi has the highest social vulnerability score when averaged across the state and New Hampshire has the least. Of note: California and Texas, the two most populous states are ranked 5 and 6 in social vulnerability. But what informs how social vulnerability is calculated?","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":199,"value":"$35","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":352,"value":"{\n state_facet;\n var divElement = document.getElementById('viz1651693614250'); var vizElement = divElement.getElementsByTagName('object')[0]; vizElement.style.width='100%';vizElement.style.height=(divElement.offsetWidth*0.75)+'px'; var scriptElement = document.createElement('script'); scriptElement.src = 'https://public.tableau.com/javascripts/api/viz_v1.js'; vizElement.parentNode.insertBefore(scriptElement, vizElement);}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":457,"value":"* Marks: bars (lines)\n* Channels: length for magnitude & color for identity","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":426,"value":"Here is the breakdown of the four metrics that comprise social vulnerability score. These four measures are calculated from over a dozen Census measures, the breakdown of which can be found [here](https://www.atsdr.cdc.gov/placeandhealth/svi/documentation/SVI_documentation_2018.html). We can see that California's Minority and Language score is the highest, thus being the biggest player in its overall social vulnerability. This is not the case for many states, such as Mississippi, whose socioeconomic score was the highest of the four, and thus informed how it is the state with the highest overall social vulnerability. These are two states with high SVI scores but for completely different reasons. ","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":364,"value":"$36","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":371,"value":"{\n scatter;\n var divElement = document.getElementById('viz1651711521988'); var vizElement = divElement.getElementsByTagName('object')[0]; vizElement.style.width='100%';vizElement.style.height=(divElement.offsetWidth*0.75)+'px'; var scriptElement = document.createElement('script'); scriptElement.src = 'https://public.tableau.com/javascripts/api/viz_v1.js'; vizElement.parentNode.insertBefore(scriptElement, vizElement);}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":464,"value":"* Marks: circles (points)\n* Channels: position on common scale for magnitude (horizontal and vertical) & color for identity","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":379,"value":"This visualization is looking at the relationship between population denisty and social vulnerability across the United States. The higher a social vulnerability score (0-1), the more prevalence of vulnerable populations. The higher a population density score (1.0-10.3), the more rural an area. Based on this visualization there does not appear to be a correlation amongst overall social vulnerability and the average population density of a state. \n\nEach state is so vastly different that examining this relationship, and even the metrics alone, at a state level is too general. So, let's dive into what these metrics look like within California.","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":276,"value":"### California \n\nCalifornia is the most populous state, [home to over 39 million people](https://www.statista.com/statistics/183497/population-in-the-federal-states-of-the-us/#:~:text=California%20was%20the%20state%20with,population%20with%20about%20580%2C000%20residents). It has the [5th largest economy in the world and in 2021, California accounted for 14.6% of the total US economy](https://bulloakcapital.com/blog/if-california-were-a-country/#:~:text=California's%20GDP%20in%202021%20was,India%20and%20the%20United%20Kingdom). With its large population and robust economic output, California is a great place to dive deeper into what social vulnerability looks like on a county level, and what correlation, if any, may exist with population density. \n\n\nHere we have a map demonstrating the population density across the state.","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":281,"value":"$37","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":282,"value":"{\n cali_ruca;\n var divElement = document.getElementById('viz1651080114427'); var vizElement = divElement.getElementsByTagName('object')[0]; vizElement.style.width='100%';vizElement.style.height=(divElement.offsetWidth*0.75)+'px'; var scriptElement = document.createElement('script'); scriptElement.src = 'https://public.tableau.com/javascripts/api/viz_v1.js'; vizElement.parentNode.insertBefore(scriptElement, vizElement);}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":468,"value":"* Marks: county lines (areas)\n* Channels: color saturation for magnitude & spatial region for identity","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":433,"value":"The coasts and Central Valley (ie. Bay Area, LA/San Diego, Sacramento, Bakersfield) appear to be the most densely populated areas, which aligns with the general location of major California cities.","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":230,"value":"$38","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":403,"value":"{\n cali1;\n var divElement = document.getElementById('viz1651717637247'); var vizElement = divElement.getElementsByTagName('object')[0]; vizElement.style.width='100%';vizElement.style.height=(divElement.offsetWidth*0.75)+'px'; var scriptElement = document.createElement('script'); scriptElement.src = 'https://public.tableau.com/javascripts/api/viz_v1.js'; vizElement.parentNode.insertBefore(scriptElement, vizElement);} ","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":437,"value":"Something interesting of note is that the densely populated coast has the lowest socioeconomic vulnerability in contrast to the Central Valley. Both are more densely populated areas so there isn't a clear relationship. ","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":249,"value":"$39","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":398,"value":"{\n cali2;\n var divElement = document.getElementById('viz1651717109991'); var vizElement = divElement.getElementsByTagName('object')[0]; vizElement.style.width='100%';vizElement.style.height=(divElement.offsetWidth*0.75)+'px'; var scriptElement = document.createElement('script'); scriptElement.src = 'https://public.tableau.com/javascripts/api/viz_v1.js'; vizElement.parentNode.insertBefore(scriptElement, vizElement);} ","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":441,"value":"This map tells us that Northern California, and to a lesser extent the Central Valley, are particularly vulnerable when it comes to household composition and disability. Again the coasts score low here suggesting very different types of household makeup between them and Northern and Central parts of the state.","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":259,"value":"$3a","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":392,"value":"{ \n cali3;\n var divElement = document.getElementById('viz1651716960217'); var vizElement = divElement.getElementsByTagName('object')[0]; vizElement.style.width='100%';vizElement.style.height=(divElement.offsetWidth*0.75)+'px'; var scriptElement = document.createElement('script'); scriptElement.src = 'https://public.tableau.com/javascripts/api/viz_v1.js'; vizElement.parentNode.insertBefore(scriptElement, vizElement);} ","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":445,"value":"Minority and Language was the metric California had the highest average score for as a state across the 4 SVI measures. Again we see high scores concentrated mostly in the central valley.","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":268,"value":"$3b","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":385,"value":"{\n cali4;\n var divElement = document.getElementById('viz1651716441049'); var vizElement = divElement.getElementsByTagName('object')[0]; vizElement.style.width='100%';vizElement.style.height=(divElement.offsetWidth*0.75)+'px'; var scriptElement = document.createElement('script'); scriptElement.src = 'https://public.tableau.com/javascripts/api/viz_v1.js'; vizElement.parentNode.insertBefore(scriptElement, vizElement);} ","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":449,"value":"Again Northern California and the Central Valley score the highest when it comes to vulnerability informed by housing type and transportation, but across the state scores are generally higher. Knowing how these two areas score in socioeconomic status, one can wonder how generally low socioeconomic status would inform the ability to own a vehicle or not live in a mobile home. But there does not appear to be a clear correlation between this metric and population density.","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"}],"files":"$W3c","stdlib":"1","titling":"auto"}} 33:"$32:body"