diff --git a/covid-geography/README.md b/covid-geography/README.md
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+# covid-geography
+
+This folder contains the data behind the story TK
+
+mmsa-icu-beds.csv combines data from the Centers for Disease Control and Prevention’s [Behavioral Risk Factor Surveillance System](https://www.cdc.gov/brfss/smart/smart_2017.html), a collection of health-related surveys conducted each year of more than 400,000 Americans, and the [Kaiser Family Foundation](https://khn.org/news/as-coronavirus-spreads-widely-millions-of-older-americans-live-in-counties-with-no-icu-beds/#lookup) to show the number of people who are at high risk of becoming seriously ill from COVID-19 per ICU bed in each metropolitan area, micropolitan area or metropolitan division for which we have data.
+
+Being high risk is defined by a number of health conditions and behaviors. Based on the CDC’s [list the relevant underlying conditions](https://www.cdc.gov/coronavirus/2019-ncov/need-extra-precautions/people-at-higher-risk.html?CDC_AA_refVal=https%3A%2F%2Fwww.cdc.gov%2Fcoronavirus%2F2019-ncov%2Fspecific-groups%2Fpeople-at-higher-risk.html) that put people at higher risk of serious illness from COVID-19, plus the advice of experts from the Cleveland Clinic, the American Lung Association and the American Heart Association, we counted people as at risk if they’re 65 or older; if they have ever been told they have hypertension, coronary heart disease, a myocardial infarction, angina, a stroke, chronic kidney disease, chronic obstructive pulmonary disease, emphysema, chronic bronchitis or diabetes; if they currently have asthma or a BMI over 40; if they smoke cigarettes every day or some days or use e-cigarettes or vaping products every day or some days; or if they’re currently pregnant. We included every individual who meets at least one of these conditions but counted them only once each, so anyone with multiple conditions doesn’t get counted multiple times. We were not able to include a number of conditions for which we did not have location-based data from the BRFSS, such as liver disease, having smoked, vaped or dabbed marijuana in the last 30 days, and getting cancer treatment or being on immunosuppression medications.
+
+Column | Description
+-------|-------------
+`MMSA` | The name of the metropolitan area, micropolitan area or metropolitan division available in the CDC’s BRFSS
+`total_percent_at_risk` | The percent of individuals in that area that are at high risk of becoming seriously ill from COVID-19, per CDC’s BRFSS.
+`high_risk_per_icu_bed` | The number of high risk individuals per ICU bed in that area.
+`high_risk_per_hospital` |  The number of high risk individuals per hospital in that area.
+`icu_beds` | The number of ICU beds in the area, based on KFF’s data
+`hospitals` | The number of hospitals in the area, based on KFF’s data
+`total_at_risk` | The total number of high risk individuals in the area, per CDC’s BRFSS
+
diff --git a/covid-geography/mmsa-icu-beds.csv b/covid-geography/mmsa-icu-beds.csv
new file mode 100644
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+++ b/covid-geography/mmsa-icu-beds.csv
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+MMSA,total_percent_at_risk,high_risk_per_ICU_bed,high_risk_per_hospital,icu_beds,hospitals,total_at_risk
+"San Juan-Carolina-Caguas, PR",52.88%,NA,NA,NA,NA,923725.203
+"Manhattan, KS",47.29%,4489.84875,8979.6975,8,4,35918.79
+"Hilton Head Island-Bluffton-Beaufort, SC",62.72%,3904.163571,36438.86,28,3,109316.58
+"Kahului-Wailuku-Lahaina, HI",59.13%,3860.557,19302.785,20,4,77211.14
+"Spartanburg, SC",66.12%,3786.115556,85187.6,45,2,170375.2
+"Baton Rouge, LA",66.60%,3459.7325,39000.62091,124,11,429006.83
+"Rockingham County-Strafford County, NH, Metropolitan Division",57.72%,3365.052,40380.624,60,5,201903.12
+"Salisbury, MD-DE",68.32%,3292.271176,37312.40667,68,6,223874.44
+"Wichita Falls, TX",67.11%,3279.425,19676.55,24,4,78706.2
+"Colorado Springs, CO",55.96%,3251.603053,77225.5725,95,4,308902.29
+"Cambridge-Newton-Framingham, MA, Metropolitan Division",52.17%,3161.025223,62035.12,314,16,992561.92
+"Albuquerque, NM",60.33%,3091.331014,71100.61333,138,6,426603.68
+"Portland-South Portland, ME",60.60%,3051.228953,43734.28167,86,6,262405.69
+"Silver Spring-Frederick-Rockville, MD, Metropolitan Division",48.90%,2929.015833,70296.38,168,7,492074.66
+"Charlotte-Concord-Gastonia, NC-SC",60.63%,2919.072935,65192.62889,402,18,1173467.32
+"Ogden-Clearfield, UT",53.80%,2906.274767,35705.66143,86,7,249939.63
+"Cedar Rapids, IA",57.99%,2739.539318,30134.9325,44,4,120539.73
+"Tallahassee, FL",52.69%,2737.105667,54742.11333,60,3,164226.34
+"Portland-Vancouver-Hillsboro, OR-WA",55.37%,2648.925704,63106.75941,405,17,1072814.91
+"Grand Rapids-Wyoming, MI",58.12%,2538.918207,42469.17727,184,11,467160.95
+"Riverside-San Bernardino-Ontario, CA",56.62%,2530.862418,56646.65588,761,34,1925986.3
+"Des Moines-West Des Moines, IA",57.99%,2518.830893,40301.29429,112,7,282109.06
+"Fayetteville-Springdale-Rogers, AR-MO",56.85%,2517.092088,38175.89667,91,6,229055.38
+"Minneapolis-St. Paul-Bloomington, MN-WI",50.99%,2474.26659,43763.59031,566,32,1400434.89
+"Worcester, MA-CT",58.26%,2472.280229,43264.904,175,10,432649.04
+"Wilmington, DE-MD-NJ, Metropolitan Division",61.40%,2441.704685,69832.754,143,5,349163.77
+"Houston-The Woodlands-Sugar Land, TX",55.82%,2421.507063,52172.47036,1185,55,2869485.87
+"Spokane-Spokane Valley, WA",61.67%,2413.394779,38959.08714,113,7,272713.61
+"Grand Island, NE",60.48%,2402.975,9611.9,16,4,38447.6
+"Oakland-Hayward-Berkeley, CA, Metropolitan Division",48.01%,2385.409101,55868.79211,445,19,1061507.05
+"Myrtle Beach-Conway-North Myrtle Beach, SC-NC",73.79%,2385.046891,47303.43,119,6,283820.58
+"Washington-Arlington-Alexandria, DC-VA-MD-WV, Metropolitan Division",50.03%,2356.378968,59204.02156,804,32,1894528.69
+"Seattle-Bellevue-Everett, WA, Metropolitan Division",51.35%,2329.607529,57907.38714,522,21,1216055.13
+"Montgomery County-Bucks County-Chester County, PA, Metropolitan Division",59.69%,2328.824246,40298.78478,398,23,926872.05
+"Topeka, KS",68.10%,2322.307885,30190.0025,52,4,120760.01
+"Sioux City, IA-NE-SD",60.83%,2319.862121,19138.8625,33,4,76555.45
+"Springfield, MA",59.45%,2307.629846,49998.64667,130,6,299991.88
+"Deltona-Daytona Beach-Ormond Beach, FL",71.11%,2304.373554,63754.335,166,6,382526.01
+"New York-Jersey City-White Plains, NY-NJ, Metropolitan Division",54.38%,2302.129085,75184.16695,2678,82,6165101.69
+"Rochester, NY",59.63%,2254.532389,42460.36,226,12,509524.32
+"Newark, NJ-PA, Metropolitan Division",55.88%,2237.802582,68252.97875,488,16,1092047.66
+"College Station-Bryan, TX",51.71%,2230.095,21408.912,48,5,107044.56
+"Virginia Beach-Norfolk-Newport News, VA-NC",60.85%,2228.447378,58894.68071,370,14,824525.53
+"Albany-Schenectady-Troy, NY",58.67%,2225.128717,41609.907,187,10,416099.07
+"Greenville-Anderson-Mauldin, SC",62.84%,2198.10445,43962.089,200,10,439620.89
+"North Port-Sarasota-Bradenton, FL",67.32%,2183.080962,64868.69143,208,7,454080.84
+"Fort Worth-Arlington, TX, Metropolitan Division",58.76%,2180.375795,37367.13,497,29,1083646.77
+"Warren-Troy-Farmington Hills, MI, Metropolitan Division",61.20%,2165.925455,56314.06182,572,22,1238909.36
+"Hartford-West Hartford-East Hartford, CT",57.26%,2150.121289,55043.105,256,10,550431.05
+"Providence-Warwick, RI-MA",60.98%,2110.081467,56520.03929,375,14,791280.55
+"Camden, NJ, Metropolitan Division",63.56%,2109.945288,77804.2325,295,8,622433.86
+"Burlington-South Burlington, VT",54.84%,2104.114565,48394.635,46,2,96789.27
+"Sioux Falls, SD",58.02%,2084.996111,16084.25571,54,7,112589.79
+"Atlanta-Sandy Springs-Roswell, GA",55.19%,2059.592863,64931.375,1198,38,2467392.25
+"South Bend-Mishawaka, IN-MI",61.57%,2058.605,38084.1925,74,4,152336.77
+"Anchorage, AK",58.80%,2055.441034,44705.8425,87,4,178823.37
+"Phoenix-Mesa-Scottsdale, AZ",57.75%,2043.376384,55171.16237,1026,38,2096504.17
+"Aberdeen, SD",61.13%,2031.057,6770.19,10,3,20310.57
+"Dallas-Plano-Irving, TX, Metropolitan Division",52.49%,2027.770063,38324.8542,945,50,1916242.71
+"Hagerstown-Martinsburg, MD-WV",66.46%,2022.890441,68778.275,68,2,137556.55
+"St. Cloud, MN",54.67%,2022.670976,20732.3775,41,4,82929.51
+"Claremont-Lebanon, NH-VT",63.34%,2016.79875,12548.97,56,9,112940.73
+"Boise City, ID",55.40%,2013.776027,42001.61429,146,7,294011.3
+"Buffalo-Cheektowaga-Niagara Falls, NY",65.12%,2000.767381,65358.40111,294,9,588225.61
+"Billings, MT",60.09%,1942.979024,26554.04667,41,3,79662.14
+"Minot, ND",61.17%,1940.797368,18437.575,19,2,36875.15
+"Austin-Round Rock, TX",51.27%,1937.338662,39300.29857,426,21,825306.27
+"Los Angeles-Long Beach-Anaheim, CA",51.13%,1924.917328,53454.9542,2777,100,5345495.42
+"Sacramento--Roseville--Arden-Arcade, CA",54.51%,1923.676063,65148.496,508,15,977227.44
+"Memphis, TN-MS-AR",62.33%,1920.567866,52495.52167,328,12,629946.26
+"Cincinnati, OH-KY-IN",62.75%,1919.68433,55064.62947,545,19,1046227.96
+"Corpus Christi, TX",61.89%,1868.164174,53709.72,115,4,214838.88
+"Baltimore-Columbia-Towson, MD",61.84%,1865.840219,59139.02261,729,23,1360197.52
+"Omaha-Council Bluffs, NE-IA",58.80%,1832.191563,27360.72733,224,15,410410.91
+"Rapid City, SD",65.61%,1817.71878,14905.294,41,5,74526.47
+"Pensacola-Ferry Pass-Brent, FL",62.98%,1810.896176,41046.98,136,6,246281.88
+"Denver-Aurora-Lakewood, CO",53.58%,1750.519638,60392.9275,690,20,1207858.55
+"Miami-Fort Lauderdale-West Palm Beach, FL",55.77%,1738.823877,63932.10581,1581,43,2749080.55
+"Dayton, OH",62.63%,1735.071991,56018.03857,226,7,392126.27
+"Columbus, OH",59.99%,1734.587336,52808.54778,548,18,950553.86
+"Tampa-St. Petersburg-Clearwater, FL",63.54%,1717.404843,60835.76385,921,26,1581729.86
+"Charleston-North Charleston, SC",61.97%,1713.245747,63104.55167,221,6,378627.31
+"Port St. Lucie, FL",63.70%,1712.978951,81651.99667,143,3,244955.99
+"Orlando-Kissimmee-Sanford, FL",55.92%,1694.240231,91771.34583,650,12,1101256.15
+"Allentown-Bethlehem-Easton, PA-NJ",60.18%,1666.819708,36366.97545,240,11,400036.73
+"Little Rock-North Little Rock-Conway, AR",73.48%,1664.52612,37830.13909,250,11,416131.53
+"Nassau County-Suffolk County, NY, Metropolitan Division",54.88%,1664.47748,61752.1145,742,20,1235042.29
+"Oklahoma City, OK",62.22%,1661.77368,25182.26269,394,26,654738.83
+"Crestview-Fort Walton Beach-Destin, FL",65.45%,1638.910824,27861.484,85,5,139307.42
+"Pittsburgh, PA",65.74%,1629.838558,46058.03037,763,27,1243566.82
+"Kingsport-Bristol-Bristol, TN-VA",80.73%,1624.14,39953.844,123,5,199769.22
+"Philadelphia, PA, Metropolitan Division",61.32%,1622.193615,53617.76789,628,19,1018737.59
+"Salina, KS",62.98%,1618.733889,9712.403333,18,3,29137.21
+"Boston, MA, Metropolitan Division",55.19%,1614.752369,52526.94471,553,17,892958.06
+"El Paso, TX",52.32%,1586.418128,35782.54222,203,9,322042.88
+"Jacksonville, FL",65.10%,1578.970678,64079.89333,487,12,768958.72
+"Richmond, VA",60.29%,1572.474522,60854.764,387,10,608547.64
+"San Antonio-New Braunfels, TX",56.62%,1558.322415,58783.38444,679,18,1058100.92
+"Salt Lake City, UT",51.14%,1556.712483,40474.52455,286,11,445219.77
+"Chicago-Naperville-Elgin, IL-IN-WI",56.02%,1548.761447,45614.71214,2474,84,3831635.82
+"St. Louis, MO-IL",61.91%,1493.132605,38650.804,906,35,1352778.14
+"Knoxville, TN",67.61%,1490.921329,47113.114,316,10,471131.14
+"Huntington-Ashland, WV-KY-OH",72.66%,1484.641304,40976.1,138,5,204880.5
+"Louisville/Jefferson County, KY-IN",63.04%,1480.792787,52691.54333,427,12,632298.52
+"Indianapolis-Carmel-Anderson, IN",62.39%,1469.136169,36728.40423,650,26,954938.51
+"Columbia, SC",62.66%,1468.166739,67535.67,276,6,405214.02
+"Grand Forks, ND-MN",54.83%,1429.04871,11075.1275,31,4,44300.51
+"Milwaukee-Waukesha-West Allis, WI",58.69%,1411.037416,44359.48875,503,16,709751.82
+"Panama City, FL",66.84%,1390.313636,35684.71667,77,3,107054.15
+"Tuscaloosa, AL",62.40%,1370.504318,40201.46,88,3,120604.38
+"New Orleans-Metairie, LA",66.27%,1347.585845,34824.45526,491,19,661664.65
+"Cleveland-Elyria, OH",66.87%,1340.427345,46973.23652,806,23,1080384.44
+"Provo-Orem, UT",38.92%,1318.728361,26814.14333,122,6,160884.86
+"Kansas City, MO-KS",59.01%,1309.019106,28838.08758,727,33,951656.89
+"Lincoln, NE",53.81%,1274.84037,27536.552,108,5,137682.76
+"Tulsa, OK",65.09%,1253.763299,21313.97609,391,23,490221.45
+"Fort Wayne, IN",65.98%,1212.837345,26834.02625,177,8,214672.21
+"Wichita, KS",62.52%,1165.437984,25056.91667,258,12,300683
+"Toledo, OH",64.20%,1123.504366,33455.46333,268,9,301099.17
+"Birmingham-Hoover, AL",66.48%,1109.572514,42243.01071,533,14,591402.15
+"Jackson, MS",59.79%,1082.387778,18787.15929,243,14,263020.23
+"Lansing-East Lansing, MI",61.69%,1060.187421,46860.284,221,5,234301.42
+"Nashville-Davidson--Murfreesboro--Franklin, TN",61.09%,1056.271281,35955.4744,851,25,898886.86
+"Florence, SC",72.31%,1040.463182,22890.19,110,5,114450.95
+"Augusta-Richmond County, GA-SC",65.67%,1016.301672,43410.6,299,7,303874.2
+"North Platte, NE",64.19%,944.2910526,17941.53,19,1,17941.53
+"Lexington-Fayette, KY",63.39%,915.7096043,31820.90875,278,8,254567.27
+"Scottsbluff, NE",68.20%,899.2759091,19784.07,22,1,19784.07
+"Evansville, IN-KY",69.07%,893.5168947,33953.642,190,5,169768.21
+"Fargo, ND-MN",51.26%,870.3837838,48306.3,111,2,96612.6
+"Bismarck, ND",60.22%,864.1463889,20739.51333,72,3,62218.54
+"Charleston, WV",75.97%,831.6897436,25948.72,156,5,129743.6
+"Duluth, MN-WI",60.34%,730.5231351,12286.07091,185,11,135146.78
+"Reno, NV",57.86%,638.8247432,42290.198,331,5,211450.99
+"Gainesville, FL",56.38%,621.4499524,65252.245,210,2,130504.49
+"Rochester, MN",54.72%,413.6677064,22544.89,218,4,90179.56
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