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Mississippi County Primary-Care Access & Health-Burden Scorecard

A county-level targeting index for Mississippi, fusing adult chronic-disease and social-risk prevalence (CDC PLACES) with federally designated primary-care provider shortages (HRSA). Ranks all 82 counties by combined need so a health department or rural-health office can see where high burden and thin provider supply overlap.

KYFEX·

Key findings

  • 1

    81 of Mississippi's 82 counties (99%) fall within a federally designated primary-care Health Professional Shortage Area.

  • 2

    Adult diagnosed-diabetes prevalence ranges from 10.9% in Oktibbeha County to 25.2% in Sharkey County, a 14.3-point spread within a single state.

  • 3

    Humphreys County carries the highest combined targeting-priority index (89.5/100), led by its health burden score.

  • 4

    The median county uninsured rate (adults 18-64) is 12.6%, and the median adult diabetes prevalence is 17.1%.

How it is built

Two CDC PLACES axes are built from crude adult prevalence: a Health-Burden axis (diabetes, obesity, high blood pressure, coronary heart disease, fair/poor self-rated health, frequent physical distress) and an Access & SDOH axis (uninsured 18-64, lack of reliable transportation, food insecurity, housing insecurity). Each measure is min-max normalized across the state's counties to 0-100, then averaged within its axis. A Provider-Shortage axis scales each county's worst designated primary-care HPSA score against the HRSA 0-26 severity scale. The combined Targeting-Priority Index is the equal-weighted mean of the three axes. Scores are relative WITHIN Mississippi: a 100 marks the worst county in the state on that axis, not a national benchmark.

Health-burden axis

Diagnosed diabetesObesityHigh blood pressureCoronary heart diseaseFair or poor self-rated healthFrequent physical distress

Access & SDOH axis

Uninsured (adults 18-64)Lack of reliable transportationFood insecurityHousing insecurity

All 82 counties, ranked by targeting priority

Higher scores mean greater relative need within Mississippi. Scroll horizontally for all columns.

#CountyPriorityBurdenAccessShortageDiabetesUninsuredTop driver
1Humphreys
89.5
97.386.584.624.7%16.0%Health burden
2Holmes
89.3
83.987.996.223.3%15.6%Provider shortage
3Sharkey
86.0
96.876.684.625.2%15.2%Health burden
4Tunica
85.3
77.390.288.521.4%16.1%Access & SDOH barriers
5Quitman
84.7
85.280.388.522.8%15.4%Provider shortage
6Jefferson
84.0
86.676.988.523.6%15.0%Provider shortage
7Coahoma
81.1
73.777.492.321.8%15.1%Provider shortage
8Claiborne
79.2
66.075.496.220.4%13.9%Provider shortage
9Washington
76.9
69.668.992.321.0%14.4%Provider shortage
10Leflore
76.0
65.174.388.520.9%14.6%Provider shortage
11Yazoo
75.6
67.578.580.818.5%18.6%Provider shortage
12Noxubee
75.5
72.169.984.621.2%15.2%Provider shortage
13Bolivar
75.0
67.861.096.220.5%13.7%Provider shortage
14Issaquena
74.4
53.485.384.616.4%21.3%Access & SDOH barriers
15Sunflower
72.4
64.975.576.919.3%16.2%Provider shortage
16Tallahatchie
70.5
61.661.588.518.9%15.8%Provider shortage
17Jefferson Davis
68.6
74.550.680.821.8%12.9%Provider shortage
18Amite
68.3
72.835.996.220.6%12.6%Provider shortage
19Wilkinson
66.7
69.561.569.220.6%14.3%Health burden
20Pike
66.2
61.252.884.618.9%13.5%Provider shortage
21Marshall
64.8
57.148.988.518.5%14.2%Provider shortage
22Adams
64.6
64.556.273.120.6%15.2%Provider shortage
23Scott
63.3
57.355.876.918.3%16.5%Provider shortage
24Clay
63.1
63.249.276.919.1%13.1%Provider shortage
25Panola
63.1
60.448.280.818.4%13.2%Provider shortage
26Yalobusha
62.2
60.141.984.619.0%13.2%Provider shortage
27Leake
62.0
51.442.492.317.0%13.6%Provider shortage
28Winston
61.6
60.643.380.819.5%13.1%Provider shortage
29Wayne
61.5
57.242.884.617.8%13.2%Provider shortage
30Lawrence
61.0
66.943.073.118.8%13.6%Provider shortage
31Kemper
60.2
55.843.980.818.4%12.7%Provider shortage
32Lauderdale
60.0
47.736.196.216.7%12.0%Provider shortage
33Franklin
59.3
58.434.984.618.5%12.1%Provider shortage
34Walthall
58.9
57.138.780.817.8%13.0%Provider shortage
35Copiah
58.7
51.839.884.618.2%12.3%Provider shortage
36Clarke
58.6
52.930.692.317.8%11.7%Provider shortage
37Montgomery
58.5
65.640.769.219.6%12.8%Provider shortage
38Calhoun
58.3
58.939.176.918.2%14.0%Provider shortage
39Neshoba
58.2
50.439.584.616.5%12.8%Provider shortage
40Chickasaw
57.9
57.547.169.218.4%14.0%Provider shortage
41Carroll
57.7
59.632.780.818.6%13.0%Provider shortage
42Hinds
57.7
42.442.388.517.0%11.1%Provider shortage
43Grenada
57.5
54.637.180.817.6%12.3%Provider shortage
44Benton
55.5
52.932.980.817.4%12.7%Provider shortage
45Smith
55.3
55.629.480.816.9%12.5%Provider shortage
46Marion
55.2
54.837.673.117.2%12.8%Provider shortage
47Jones
54.1
42.927.192.316.0%11.9%Provider shortage
48Monroe
54.0
51.026.484.616.7%11.7%Provider shortage
49Attala
53.8
50.134.576.916.9%12.2%Provider shortage
50Jasper
52.1
59.539.157.719.0%12.4%Health burden
51Newton
51.4
41.831.680.815.7%11.7%Provider shortage
52Choctaw
50.4
46.819.984.616.9%11.4%Provider shortage
53Simpson
49.0
42.627.676.916.2%11.9%Provider shortage
54Covington
48.7
40.628.576.915.6%11.6%Provider shortage
55Lincoln
48.1
39.723.980.815.7%11.1%Provider shortage
56Warren
47.6
40.525.376.916.2%10.5%Provider shortage
57Perry
46.2
49.323.865.416.2%11.7%Provider shortage
58Lowndes
46.2
31.826.180.815.5%11.0%Provider shortage
59Tippah
45.9
43.225.369.215.3%12.4%Provider shortage
60Alcorn
45.7
41.418.876.915.0%11.8%Provider shortage
61Forrest
43.5
18.527.584.613.1%10.8%Provider shortage
62Tishomingo
42.7
44.114.869.215.0%11.6%Provider shortage
63Harrison
42.3
27.019.280.814.1%11.1%Provider shortage
64Prentiss
41.3
33.517.473.113.9%11.0%Provider shortage
65Itawamba
40.2
20.87.492.312.2%10.4%Provider shortage
66Union
39.9
37.924.057.714.1%12.8%Provider shortage
67Greene
39.8
35.630.053.814.0%13.4%Provider shortage
68Pearl River
39.5
34.414.869.214.4%11.2%Provider shortage
69Pontotoc
39.3
30.921.665.413.8%12.4%Provider shortage
70Webster
38.8
27.611.976.913.7%10.7%Provider shortage
71Stone
38.1
32.915.965.414.0%10.8%Provider shortage
72Tate
36.6
26.821.461.514.2%11.1%Provider shortage
73Jackson
35.9
31.314.961.515.0%11.1%Provider shortage
74Lee
35.6
23.614.169.213.9%10.2%Provider shortage
75Madison
35.6
8.91.696.212.4%8.1%Provider shortage
76Hancock
34.7
31.13.869.214.3%9.7%Provider shortage
77Lamar
34.4
18.28.076.912.4%9.5%Provider shortage
78Rankin
33.0
12.51.884.612.1%8.9%Provider shortage
79George
32.8
25.715.057.713.1%11.3%Provider shortage
80Oktibbeha
32.7
2.822.173.110.9%10.1%Provider shortage
81Lafayette
23.0
2.09.257.710.9%9.2%Provider shortage
82DeSoto
8.1
12.911.50.012.4%9.7%Health burden

Limitations

  • Scores are intra-state relative, not absolute or cross-state comparable.
  • PLACES values are small-area model-based estimates with confidence intervals, not direct counts.
  • HPSA aggregation takes the worst designated primary-care score per county; geographic, population-group, and facility designations are pooled.
  • Equal axis weighting is a transparent default, not a calibrated policy model.
  • Socioeconomic depth (Census ACS poverty, age, rurality) is a planned layer, deferred here because the Census API requires a key.
  • This is informational analysis of public data, not clinical, individual, or actuarial advice.

Sources

Frequently asked questions

What does the Mississippi county health-access scorecard measure?

It ranks all 82 Mississippi counties by a combined Targeting-Priority Index that fuses adult chronic-disease and social-risk prevalence from CDC PLACES with federally designated primary-care provider shortages from HRSA, highlighting where health need and thin provider supply overlap.

Which public datasets is it built from?

CDC PLACES county estimates (CDC PLACES: Local Data for Better Health, County Data, 2025 release (measure year 2023)) and the HRSA Primary Care Health Professional Shortage Area detail file, both fully open federal sources accessed 2026-05-31.

How should the Targeting-Priority Index be used?

As a transparent first-pass screen for where to focus outreach, workforce, or program resources. Scores are relative within the state and equal-weighted by default; a real engagement would calibrate weights to a program's goals and add socioeconomic and utilization layers.

Need this for your jurisdiction?

This is a public prototype. KYFEX builds production pipelines and tailored scorecards that fuse claims, utilization, and socioeconomic layers for a specific state, region, or program. Talk to us about a custom build.

https://kyfex.com/insights/mississippi-county-primary-care-access-2026

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