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California County Primary-Care Access & Health-Burden Scorecard

A county-level targeting index for California, fusing adult chronic-disease and social-risk prevalence (CDC PLACES) with federally designated primary-care provider shortages (HRSA). Ranks all 58 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

    58 of California's 58 counties (100%) fall within a federally designated primary-care Health Professional Shortage Area.

  • 2

    Adult diagnosed-diabetes prevalence ranges from 9.3% in Yolo County to 15.9% in Trinity County, a 6.6-point spread within a single state.

  • 3

    Imperial County carries the highest combined targeting-priority index (77.9/100), led by its access & sdoh barriers score.

  • 4

    The median county uninsured rate (adults 18-64) is 8.8%, and the median adult diabetes prevalence is 12.0%.

How it is built

A Health-Burden axis is built from CDC PLACES crude adult prevalence (diagnosed diabetes, obesity, high blood pressure, coronary heart disease, fair or poor self-rated health, frequent physical distress). An Access & SDOH barriers axis combines uninsured (adults 18-64), lack of reliable transportation, food insecurity, housing insecurity, below poverty (acs), households without a vehicle (acs) (Census ACS measures join CDC PLACES here). 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. PLACES values are model-based estimates with confidence intervals (carried per county), not direct counts. Scores are relative WITHIN California: 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 barriers axis

Uninsured (adults 18-64)Lack of reliable transportationFood insecurityHousing insecurityBelow poverty (ACS)Households without a vehicle (ACS)

All 58 counties, ranked by targeting priority

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

#CountyPriorityBurdenAccessShortageDiabetesUninsuredTop driver
1Imperial
77.9
72.084.876.915.0%22.1%Access & SDOH barriers
2Fresno
70.3
56.661.992.312.7%14.6%Provider shortage
3Kern
70.2
59.770.180.813.3%16.7%Provider shortage
4Tulare
70.1
59.670.080.813.1%18.2%Provider shortage
5Merced
69.5
57.374.376.913.0%18.2%Provider shortage
6Madera
67.4
67.972.961.513.5%17.9%Access & SDOH barriers
7Kings
64.4
51.668.573.112.1%17.6%Provider shortage
8Trinity
63.3
91.233.465.415.9%7.0%Health burden
9Modoc
60.9
79.637.865.414.9%8.6%Health burden
10Lake
60.7
73.339.769.214.1%10.1%Health burden
11Monterey
58.1
48.648.976.912.5%15.9%Provider shortage
12Siskiyou
57.9
69.930.773.113.9%7.6%Provider shortage
13Lassen
57.6
53.642.276.911.5%12.0%Provider shortage
14Colusa
57.5
61.053.957.713.4%17.6%Health burden
15San Bernardino
56.9
46.950.673.112.1%14.3%Provider shortage
16Sierra
56.7
83.425.161.515.3%7.5%Health burden
17Tehama
56.3
62.740.965.413.0%10.8%Provider shortage
18Mendocino
56.1
64.438.465.413.7%10.3%Provider shortage
19Del Norte
55.7
57.233.176.912.5%9.7%Provider shortage
20Riverside
55.4
52.240.973.112.4%12.7%Provider shortage
21Sutter
55.0
51.644.369.212.8%11.9%Provider shortage
22Los Angeles
54.5
38.144.780.812.6%11.7%Provider shortage
23Glenn
54.4
54.743.065.412.6%13.7%Provider shortage
24Stanislaus
53.6
52.247.261.511.9%14.0%Provider shortage
25Humboldt
53.5
45.937.676.911.4%7.5%Provider shortage
26San Joaquin
53.0
42.343.773.112.3%12.8%Provider shortage
27Mariposa
52.9
63.322.473.113.5%7.3%Provider shortage
28Yuba
52.3
42.245.569.211.3%11.0%Provider shortage
29Plumas
52.0
64.814.376.913.5%6.4%Provider shortage
30San Benito
49.1
36.933.576.911.3%13.9%Provider shortage
31Calaveras
48.2
59.919.265.413.2%7.1%Provider shortage
32Shasta
47.2
48.224.269.211.7%7.1%Provider shortage
33Butte
46.7
37.936.865.410.7%8.3%Provider shortage
34Sacramento
46.7
35.631.473.111.2%8.7%Provider shortage
35Solano
46.7
40.226.873.112.1%9.1%Provider shortage
36Santa Barbara
46.6
32.837.769.210.8%11.7%Provider shortage
37Inyo
45.9
48.120.569.212.4%7.9%Provider shortage
38Tuolumne
45.3
50.116.669.212.1%7.0%Provider shortage
39Napa
43.3
37.019.873.111.4%9.7%Provider shortage
40Amador
42.0
49.011.765.411.8%7.5%Provider shortage
41Ventura
41.8
32.124.269.211.4%10.3%Provider shortage
42Contra Costa
41.7
27.816.680.811.3%7.8%Provider shortage
43Nevada
41.0
44.39.669.211.5%5.6%Provider shortage
44Sonoma
40.8
29.815.876.910.7%8.4%Provider shortage
45Yolo
40.3
15.935.869.29.3%8.9%Provider shortage
46San Diego
40.2
19.024.676.910.0%8.7%Provider shortage
47Orange
40.1
25.921.473.111.5%8.9%Provider shortage
48El Dorado
39.1
33.86.776.910.8%5.7%Provider shortage
49Alameda
38.0
16.720.376.911.0%7.1%Provider shortage
50San Luis Obispo
37.7
27.919.765.410.0%7.5%Provider shortage
51Santa Cruz
36.7
26.622.061.510.2%8.7%Provider shortage
52Mono
35.1
34.820.550.010.5%8.2%Provider shortage
53Marin
33.7
21.22.976.910.2%5.5%Provider shortage
54Placer
32.7
24.54.369.29.8%5.6%Provider shortage
55San Francisco
31.7
5.428.361.510.2%6.3%Provider shortage
56Alpine
31.5
41.414.638.511.6%5.7%Health burden
57Santa Clara
26.3
7.89.661.510.5%6.8%Provider shortage
58San Mateo
19.1
14.87.834.610.6%6.6%Provider shortage

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 measures are ACS 2019-2023 5-year estimates; ACS estimates carry margins of error not reflected in the composite.
  • This is informational analysis of public data, not clinical, individual, or actuarial advice.

Sources

Frequently asked questions

What does the California county health-access scorecard measure?

It ranks all 58 California 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 (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/california-county-primary-care-access-2026

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