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Ballad HealthYPLL75

YPLL75 public-health monitor

Premature mortality in SWVA + NETN

Years of potential life lost before age 75, describing long-term change, YPLL75 concentration, and implications for regional planning.

Long-term trend Action priorities Download briefing
Total YPLL752010-2024
1.4M
92,855 deaths
2024 YPLL75
89.6K
-4.9% vs 2023
Leading cause2010-2024
Major cardiovascular
318.8K YPLL75
Leading age band · all-cause2010-2024
55-64 years
426.4K YPLL75 · 28.0%
Key findings
  • 2024 movement: YPLL75 fell 4.9% from 2023.
  • Long-term comparison: 2024 remained +12.0% above 2010.
  • Cause concentration: cardiovascular disease, cancer, and accidents account for 59.9% of YPLL75.
  • Age concentration (all-cause): ages 45-64 account for 774.1K YPLL75 (50.8%).
Scope of interpretation

Age headlines use the broader all-cause CDC age pull. Total, trend, and cause headlines use exact cells from the detailed cause-level frame; remaining suppressed values are not estimated. Findings do not estimate individual risk or county-level comparative risk.

Coverage area included in this report
23 county-equivalent geographies in SWVA + NETN
Carter County, TN (47019)
Cocke County, TN (47029)
Greene County, TN (47059)
Hamblen County, TN (47063)
Hancock County, TN (47067)
Hawkins County, TN (47073)
Johnson County, TN (47091)
Sullivan County, TN (47163)
Unicoi County, TN (47171)
Washington County, TN (47179)
Buchanan County, VA (51027)
Dickenson County, VA (51051)
Grayson County, VA (51077)
Lee County, VA (51105)
Russell County, VA (51167)
Scott County, VA (51169)
Smyth County, VA (51173)
Tazewell County, VA (51185)
Washington County, VA (51191)
Wise County, VA (51195)
Wythe County, VA (51197)
Bristol city, VA (51520)
Norton city, VA (51720)
1 · Long-term direction

Post-2021 improvement has not returned long-term YPLL75 to its 2010 level.

The annual series distinguishes total YPLL75, mortality volume, average years lost per death, and the actual population-based rate.

Horizontal scroll available for full chart labels.
YPLL75 trend, 2010 through 2024Annual line chart with the 2020 and 2021 disruption years shaded.Y-axis: YPLL75YPLL752020-21 disruption70K80K90K100K110K120K130K80K2010: 80K YPLL752011: 82.3K YPLL752012: 84K YPLL752013: 81.9K YPLL752014: 83.8K YPLL752015: 85.7K YPLL752016: 87.7K YPLL752017: 88.8K YPLL752018: 86.3K YPLL752019: 89K YPLL752020: 102.9K YPLL75118.3K2021: 118.3K YPLL752022: 109.5K YPLL752023: 94.2K YPLL7589.6K2024: 89.6K YPLL7520102012201420162018202020222024

Interpretation: Total YPLL75 was +12.0% from 2010 to 2024 and peaked in 2021.

Actual population-rate table and calculation
Annual YPLL75, Census denominators, and the observed rate per 100,000 residents under age 75
YearYPLL75Population under 75Actual rate per 100K
201079,976.5892,0448,965.5
201182,332.0890,2399,248.3
201283,971.5887,6399,460.1
201381,887.5883,7859,265.5
201483,827.0878,8819,537.9
201585,690.0875,2079,790.8
201687,652.5871,17810,061.4
201788,750.0867,54610,230.0
201886,316.0865,0969,977.6
201988,974.5862,33810,317.8
2020102,930.0863,65711,917.9
2021118,301.0862,80213,711.3
2022109,461.5864,74912,658.2
202394,221.5868,62910,847.2
202489,592.0869,59710,302.7

Actual rate = annual YPLL75 divided by residents under age 75 × 100,000. It describes the observed YPLL75 across the full SWVA + NETN coverage area.

Population composition and locality change
The under-75 denominator declined 2.5%, while total catchment population was essentially unchanged

The change primarily reflects an aging population, not broad catchment population loss.

From 2010 to 2024, the under-75 population fell by 22,447, while the total population fell by only 431. The population age 75 and older grew by 22,016.

Population under 75
-22,447
-2.5% from 2010 to 2024
Total population
-431
-0.04%; essentially unchanged
Population age 75+
+22,016
+31.2% from 2010 to 2024

Largest under-75 decreases

Wise, Tazewell, Buchanan, Lee, and Russell counties recorded the largest decreases. Washington County, Tennessee recorded the largest offsetting increase.

Why the denominator matters

A smaller under-75 denominator raises the population-based YPLL rate when YPLL is otherwise unchanged. The report therefore presents both total YPLL75 and the observed rate.

Locality contribution, 2010 to 2024

Wise CountyVA38,94232,141-6,801-17.5%-6,572
Tazewell CountyVA41,64834,869-6,779-16.3%-6,239
Buchanan CountyVA22,64716,522-6,125-27.1%-5,449
Lee CountyVA23,93419,521-4,413-18.4%-3,797
Russell CountyVA26,88822,749-4,139-15.4%-3,431
Smyth CountyVA29,55826,153-3,405-11.5%-3,053
Dickenson CountyVA14,76811,862-2,906-19.7%-2,434
Washington CountyVA50,88547,995-2,890-5.7%-872
Scott CountyVA21,13218,779-2,353-11.1%-1,739
Carter CountyTN53,24851,573-1,675-3.2%+94
Wythe CountyVA26,99025,350-1,640-6.1%-1,144
Bristol cityVA16,06514,620-1,445-9.0%-1,452
Unicoi CountyTN16,65616,049-607-3.6%-414
Norton cityVA3,7403,227-513-13.7%-528
Grayson CountyVA14,00213,577-425-3.0%-231
Johnson CountyTN16,99916,596-403-2.4%+216
Hancock CountyTN6,3156,425+110+1.7%+239
Hawkins CountyTN53,18053,859+679+1.3%+2,503
Cocke CountyTN33,28434,249+965+2.9%+1,961
Greene CountyTN63,93666,369+2,433+3.8%+4,548
Sullivan CountyTN143,719146,480+2,761+1.9%+5,961
Hamblen CountyTN58,33162,622+4,291+7.4%+5,222
Washington CountyTN115,177128,010+12,833+11.1%+16,180

County changes may reflect migration, births and deaths, and residents aging into or out of the under-75 denominator. The locality table reconciles to the catchment totals shown above.

Census county intercensal age-detail estimates, 2010-2020Census County Population by Characteristics, 2020-2024

Series note: 2010-2019 uses Census intercensal county age-detail estimates; 2020-2024 uses the Census Vintage 2024 county age-detail estimates. Values are July 1 estimates.

2 · Latest-year change

The 2024 decline was driven primarily by lower accident-related YPLL.

The total decline was partly offset by increases in perinatal and cardiovascular YPLL75.

Horizontal scroll available for full chart labels.
Largest cause-level YPLL75 changes from 2023 to 2024DecreaseIncreaseLower YPLL75Higher YPLL75Accidents-4.1KPerinatal conditions+1.3KDiabetes-985Major cardiovascular+895Other infectious/parasitic residual-595Cancer-360Chronic lower respiratory-250All other-160

Interpretation: Cause-level changes explain where the latest movement occurred; they do not establish why it occurred.

3 · YPLL75 drivers

A small group of causes accounts for most premature-mortality YPLL75.

Rankings are available for the full period, five-year periods, and individual years. YPLL rank prioritizes earlier deaths; death rank reflects mortality volume.

YPLL75
0159.4K318.8K
1Major cardiovascular
318.8K
2Malignant neoplasms
272K
3Accidents
225.6K
4All other diseases
133.7K
5Suicide
75K
6Chronic lower respiratory disease
63.3K
7Chronic liver disease/cirrhosis
46.6K
8Diabetes
41.8K
9Other infectious/parasitic residual
32.2K
10Perinatal conditions
30.7K

Interpretation: Major cardiovascular, Cancer, and Accidents are the three largest YPLL75 drivers across 2010-2024.

Sortable broad-cause ranking table
Sortable columns: deaths, YPLL75, ranks, and YPLL per death for the selected period
Major cardiovascular
GR113-053
24,8061318,780.0112.9
Malignant neoplasms
GR113-019
23,1902271,960.0211.7
Accidents
GR113-112
8,1914225,583.0327.5
All other diseases
GR113-111
8,9733133,665.0414.9
Suicide
GR113-124
2,617974,995.0528.7
Chronic lower respiratory disease
GR113-082
6,609563,335.069.6
Chronic liver disease/cirrhosis
GR113-093
2,737746,585.0717.0
Diabetes
GR113-046
3,344641,770.0812.5
Other infectious/parasitic residual
GR113-018
2,701832,165.0911.9
Perinatal conditions
GR113-108
4121630,694.01074.5
Symptoms/abnormal findings
GR113-110
1,0991425,913.01123.6
Influenza and pneumonia
GR113-076
1,8731022,035.01211.8
Septicemia
GR113-010
1,3521216,070.01311.9
Congenital anomalies
GR113-109
1832113,633.51474.5
Other respiratory disease
GR113-089
1,3471313,405.01510.0
Kidney disease
GR113-097
1,3571112,875.0169.5
Viral hepatitis
GR113-015
270195,160.01719.1
Homicide
GR113-127
138224,980.01836.1
Alzheimer disease
GR113-052
503152,625.0195.2
Pneumonitis solids/liquids
GR113-088
294182,070.0207.0
Parkinson disease
GR113-051
333171,665.0215.0
Benign/uncertain neoplasms
GR113-044
253201,615.0226.4
Events of undetermined intent (Y10-Y34,Y87.2,Y89.9)
GR113-131
36261,020.02328.3
Pneumoconioses/chemical effects
GR113-087
8423420.0245.0
Nutritional deficiencies
GR113-047
5725385.0256.8
Certain intestinal infections
GR113-003
6424320.0265.0
Anemias
GR113-045
2127105.0275.0
Medical/surgical complications
GR113-135
112855.0285.0
4 · Population patterns

Deaths are highest at ages 65-74; YPLL75 is concentrated at ages 45-64.

Death counts show where deaths are most frequent. YPLL75 also reflects how early deaths occur. This section uses a separate all-cause CDC age pull without the UCD cause breakdown.

Deaths and YPLL75 by age

Reported numeric values from the all-cause age pull

2010-2024
Age
YPLL75 share
0%20%40%
Reported deaths
< 1 year
5.0%76K YPLL75
1,020
1-4
0.8%12.2K YPLL75
169
5-14
1.0%15.5K YPLL75
238
15-24
5.0%75.7K YPLL75
1,376
25-34
8.9%136.3K YPLL75
3,028
35-44
14.3%217.7K YPLL75
6,221
45-54
22.8%347.7K YPLL75
13,908
55-64
28.0%426.4K YPLL75
28,428
65-74
14.2%217K YPLL75
43,409

Shares use age bands with exact numeric values in the selected time frame. An age band is marked unavailable when a suppressed annual cell prevents an exact period total.

5 · Infant YPLL75

Infant deaths declined over the long term, but increased in 2024.

Each reported death under age 1 contributes 74.5 YPLL75 under the midpoint method. The chart shows deaths once; the adjacent facts show the corresponding YPLL75.

Reported infant deaths

Annual CDC all-cause counts for deaths under age 1

2010-2024
Horizontal scroll available for full chart labels.
Reported infant deaths for 2010-2024Annual reported deaths under one year of age. The latest year in the selected time frame is highlighted.Y-axis: reported infant deathsAnnual deathsLatest selected year0204060801007720102010: 77 reported infant deaths; 5,736.5 YPLL758220112011: 82 reported infant deaths; 6,109 YPLL756520122012: 65 reported infant deaths; 4,842.5 YPLL757720132013: 77 reported infant deaths; 5,736.5 YPLL755920142014: 59 reported infant deaths; 4,395.5 YPLL756620152015: 66 reported infant deaths; 4,917 YPLL756520162016: 65 reported infant deaths; 4,842.5 YPLL759520172017: 95 reported infant deaths; 7,077.5 YPLL757020182018: 70 reported infant deaths; 5,215 YPLL756520192019: 65 reported infant deaths; 4,842.5 YPLL756020202020: 60 reported infant deaths; 4,470 YPLL754920212021: 49 reported infant deaths; 3,650.5 YPLL756920222022: 69 reported infant deaths; 5,140.5 YPLL755520232023: 55 reported infant deaths; 4,097.5 YPLL756620242024: 66 reported infant deaths; 4,917 YPLL75

Interpretation: From 2010 to 2024, reported infant deaths fell 14.3%, from 77 to 66. The latest count was higher than 2023 by 20.0%.

Infant data, YPLL75 calculation, and rate definition
Source pull, midpoint weight, completeness, and why this is not an infant mortality rate

Source

CDC WONDER all-cause pull grouped by ten-year age group and year, without the UCD/ICD-10 113 cause breakdown. All 15 annual under-one cells from 2010 through 2024 are numeric.

YPLL75 calculation

The under-one midpoint is 0.5. Each reported death contributes 75 - 0.5 = 74.5 YPLL75.

Rate distinction

These are death counts and calculated YPLL75, not an infant mortality rate. A rate requires live-birth denominators.

CDC rate definitionCDC linked birth/infant death data
6 · Sex patterns

Male YPLL75 remained higher throughout the period, while both groups improved after 2021.

The CDC source reports Male and Female categories. This section shows YPLL75 from exact, non-suppressed rows; it does not compare sex-specific population-adjusted risk.

Horizontal scroll available for full chart labels.
Exact male and female YPLL75 trend, 2010 through 2024Annual absolute YPLL75 from exact, non-suppressed CDC rows. Male YPLL75 is higher in every year, and both series peak in 2021 before declining through 2024.Y-axis: exact sex-assigned YPLL75MaleFemale2020-21 disruption20K40K60K80K47.7K26.8K2010: male 47,739.5 and female 26,818.5 exact YPLL752011: male 48,378.0 and female 27,280.5 exact YPLL752012: male 48,353.5 and female 27,898.0 exact YPLL752013: male 48,495.5 and female 27,917.0 exact YPLL752014: male 48,206.5 and female 27,680.0 exact YPLL752015: male 49,263.0 and female 30,320.0 exact YPLL752016: male 51,377.0 and female 31,005.0 exact YPLL752017: male 50,063.0 and female 31,755.0 exact YPLL752018: male 48,118.5 and female 31,454.0 exact YPLL752019: male 52,642.0 and female 31,299.0 exact YPLL752020: male 60,216.5 and female 36,050.0 exact YPLL7571.9K39.9K2021: male 71,895.0 and female 39,945.0 exact YPLL752022: male 65,734.5 and female 37,858.5 exact YPLL752023: male 55,103.5 and female 35,080.0 exact YPLL7551.5K32.8K2024: male 51,500.5 and female 32,817.0 exact YPLL7520102012201420162018202020222024

Interpretation: Male exact YPLL75 exceeded female exact YPLL75 in every year from 2010 through 2024. Both series peaked in 2021 and then declined through 2024.

Cause detail by sex and selected time frame
Leading causes, male-female differences, exact coverage, and suppression notes for a selected time frame

Cause detail time frame

All values below update to the selected full period, five-year period, or year.

Interpretation scope

Across 2010-2024, exact sex-assigned rows capture 93.3% of source broad-frame YPLL75. Suppressed rows remain unassigned, so population denominators and rate methods would be required for risk comparisons.

Exact coverage
93.3%
Unassigned YPLL75
91.6K
Suppressed rows
3,010
Male
797.1K
62.7% of assigned YPLL75
Female
475.2K
37.3% of assigned YPLL75

Leading exact sex-assigned causes

MaleFemale
Major cardiovascular
315.9K
Cancer
267.7K
Accidents (unintentional injuries)
220.9K
All other
127.3K
Chronic lower respiratory
62.8K
Intentional self-harm (suicide)
62.8K
Chronic liver and cirrhosis
42.6K
Diabetes mellitus
38.1K

Top drivers within each sex

Male
  1. 1Major cardiovascular206.5K
  2. 2Accidents (unintentional injuries)151.8K
  3. 3Cancer143.2K
  4. 4All other71K
  5. 5Intentional self-harm (suicide)57.6K
Female
  1. 1Cancer124.5K
  2. 2Major cardiovascular109.3K
  3. 3Accidents (unintentional injuries)69.1K
  4. 4All other56.4K
  5. 5Chronic lower respiratory33.2K

Largest male-female YPLL75 differences

Male minus female
Major cardiovascular
Male 206.5K · Female 109.3K
+97.2K
Accidents (unintentional injuries)
Male 151.8K · Female 69.1K
+82.7K
Intentional self-harm (suicide)
Male 57.6K · Female 5.2K
+52.4K
Chronic liver and cirrhosis
Male 30.7K · Female 11.9K
+18.8K
Cancer
Male 143.2K · Female 124.5K
+18.7K
All other
Male 71K · Female 56.4K
+14.6K

Suppressed CDC cells are retained in the audit but excluded from exact totals. A zero displayed value can therefore mean no exact numeric row was available, not necessarily that no deaths occurred.

7 · Rural and urban patterns

Rural communities recorded higher pooled YPLL75 and death rates than urban communities.

This comparison uses the leadership-approved local planning classification of 18 rural and 5 urban county-equivalents. Results describe pooled periods, not annual rural/urban trends.

Population-based comparison

Observed values for 2010-2024 total

Pooled period
YPLL75 rate
YPLL75 per 100K under-75 person-years
Rural
12,511
Urban
10,553
Death rate
Deaths under age 75 per 100K person-years
Rural
807.2
Urban
670.7
YPLL75 per death
Average calculated years lost per reported death
Rural
15.5
Urban
15.7

Leading exact causes by YPLL75 rate

YPLL75 per 100K under-75 person-years

RuralUrban
Major cardiovascular
GR113-053
Rural
2,623
Urban
2,248
Cancer
GR113-019
Rural
2,296
Urban
1,907
Accidents
GR113-112
Rural
1,975
Urban
1,579
All other diseases
GR113-111
Rural
1,123
Urban
1,006
Suicide
GR113-124
Rural
608
Urban
546
Chronic lower respiratory
GR113-082
Rural
568
Urban
428

Interpretation: Cause-specific rates show where exact assigned YPLL75 differs after accounting for population size. They describe observed differences and do not establish their causes.

Age-specific rural and urban rates
Age distribution for 2010-2024 total; pooled rates use age-matched Census person-years

Age-specific YPLL75 rates

Per 100K age-specific person-years

RuralUrban

Interpretation: Rural rates were higher in 8 of 8 age groups. The largest absolute rate gap was in 45-54 years: 2,817 YPLL75 per 100K age-specific person-years.

Ages 0-4 combine the CDC under-1 and ages 1-4 death groups to match the available Census population denominator.

Classification, localities, and calculation notes
Approved planning groups, source files, population denominators, and suppression handling
Classification status: This local planning classification contains 18 rural and 5 urban county-equivalents. It is not presented as a federal rurality designation.

Urban county-equivalents (5)

Hamblen County, TN47063
Sullivan County, TN47163
Washington County, TN47179
Washington County, VA51191
Bristol city, VA51520

Rural county-equivalents (18)

Carter County, TN47019
Cocke County, TN47029
Greene County, TN47059
Hancock County, TN47067
Hawkins County, TN47073
Johnson County, TN47091
Unicoi County, TN47171
Buchanan County, VA51027
Dickenson County, VA51051
Grayson County, VA51077
Lee County, VA51105
Russell County, VA51167
Scott County, VA51169
Smyth County, VA51173
Tazewell County, VA51185
Wise County, VA51195
Wythe County, VA51197
Norton city, VA51720
Rural population share
55.5%
Rural death share
60.0%
Rural YPLL75 share
59.6%

How the comparison was calculated

All-cause totals
CDC pulls grouped by rural/urban classification and ten-year age group.
Cause comparison
Exact numeric rows from the non-overlapping ICD-10 113 broad frame; suppressed cells remain excluded.
Rate denominator
Annual Census populations under age 75, summed across localities and years to create person-years.
YPLL75
Deaths multiplied by the report midpoint weight for each age group, using reference age 75.
Why these totals differ from the headline total

The headline is built from annual, cause-specific exact cells. This section uses broader pooled all-cause age extracts, which recover values hidden in more granular tables. The totals answer different questions and should not be added or expected to reconcile exactly.

Selected-period CDC source files

Urban_Age_2010_2020.xls
Urban_Age_Cause_2010_2020.xls
Urban_Cause_2010_2020.xls
Rural_Age_2010_2020.xls
Rural_Age_Cause_2010_2020.xls
Rural_Cause_2010_2020.xls
Urban_Age_2021_2024.xls
Urban_Age_Cause_2021_2024.xls
Urban_Cause_2021_2024.xls
Rural_Age_2021_2024.xls
Rural_Age_Cause_2021-2024.xls
Rural_Cause_2021_2024.xls
Census denominator source 1Census denominator source 2
8 · State and National Benchmark

SWVA + NETN remained above the Tennessee, Virginia, and U.S. YPLL75 benchmarks in every year.

Observed YPLL75 rates make differently sized geographies comparable. State and national values provide context, not independent control groups or county-level risk estimates.

Questions the benchmark answers first

Selected-period position, persistence, mortality volume, and age-at-death context.

Crude observed rates · not age-adjusted
How far apart were the pooled rates?
10,409 per 100K locally

+6.9% versus Tennessee, +56.5% versus Virginia, and +41.2% versus the U.S.

Is the difference persistent?
15 of 15 years

Across 2010-2024, the local annual rate exceeded Tennessee, Virginia, and the U.S. every year. For the selected period, the pooled rate was +6.9% versus TN, +56.5% versus VA, and +41.2% versus the U.S.

More deaths, or earlier deaths?
709 pooled exact deaths per 100K

TN 574 · VA 399 · U.S. 428. Local YPLL/death was lower than all three benchmarks, so the higher rate aligns more with mortality volume than earlier average age at death.

Selected-period rate versus 2010
+16.1% locally

Tennessee +11.7% · Virginia +8.5% · U.S. +8.4%.

Observed YPLL75 rate trend

All four geographies peaked in 2021 and improved afterward; the local rate remains above all three benchmarks.

Observed YPLL75 per 100,000 residents under age 75, 2010–2024Four annual lines compare the SWVA and NETN coverage area with Tennessee, Virginia, and the United States using crude observed rates.Y-axis: YPLL75 per 100K residents under age 75SWVA + NETNTennesseeVirginiaUnited States5K7.5K10K12.5K15K9K13.7K10.3K8.7K12.9K9.5K6.1K8.3K6.4K6.8K9.2K7.1K20102012201420162018202020222024View: 2010-2024 pooled period

The y-axis is intentionally truncated to make relative distance visible. The measure is exact, non-suppressed YPLL75 per 100,000 residents under age 75. The selected view uses pooled 2010-2024 population-years to calculate the rate; the chart remains an annual trend.

2010-2024 pooled period benchmark

SWVA + NETN
Pooled rate
10,409
Pooled vs 2010
+16.1%
YPLL/death
14.7
Tennessee
Pooled rate
9,734
Pooled vs 2010
+11.7%
YPLL/death
17.0
Virginia
Pooled rate
6,649
Pooled vs 2010
+8.5%
YPLL/death
16.7
United States
Pooled rate
7,372
Pooled vs 2010
+8.4%
YPLL/death
17.2
What the comparison adds

The local observed rate was 6.9% above Tennessee, 56.5% above Virginia, and 41.2% above the U.S. Yet local YPLL75 per death was lower than all three benchmark values, indicating that the exact under-75 deaths were concentrated at somewhat older ages.

Recovery from the 2021 peak

Local -24.9% · Tennessee -26.1% · Virginia -22.9% · United States -23.1%

All four rates fell substantially after the shared 2021 peak.

2024 momentum

Local -5.0% · Tennessee -8.5% · Virginia -8.4% · United States -7.3%

All four rates declined in 2024; the three benchmarks declined faster than the local rate.

Under-75 population since 2010

Local -2.5% · Tennessee +12.1% · Virginia +7.7% · United States +8.3%

A smaller local denominator amplifies the rate increase when absolute YPLL remains high.

Reference point: 2024 rates were essentially back to their 2019 levels (Local -0.1% · Tennessee +0.1% · Virginia -0.1% · United States -0.7%), but the longstanding local-benchmark gap remained.

Leading local causes compared with state and national benchmarks

Cause-specific YPLL75 pooled observed rate per 100,000 residents under age 75, 2010-2024 pooled period.

Major cardiovascular
Local
2,433
TN
1,984
VA
1,258
U.S.
1,342
Malignant neoplasms
Local
2,075
TN
1,730
VA
1,363
U.S.
1,390
Accidents
Local
1,722
TN
1,876
VA
1,095
U.S.
1,293
All other diseases
Local
1,020
TN
831
VA
617
U.S.
639
Suicide
Local
572
TN
492
VA
407
U.S.
420
Chronic lower respiratory disease
Local
483
TN
319
VA
159
U.S.
197
Interpretation: In the 2010-2024 period, Major cardiovascular, Malignant neoplasms, and All other diseases had higher observed local rates than Tennessee, Virginia, and the U.S. These are descriptive YPLL75 comparisons, not causal estimates.

Which causes add most to the observed rate gap?

Largest positive local-minus-benchmark differences in cause-specific YPLL75 per 100,000, 2010-2024 pooled period.

Local excess vs Tennessee
1Major cardiovascular+449
2Malignant neoplasms+346
3All other diseases+190
4Chronic lower respiratory disease+165
Local excess vs Virginia
1Major cardiovascular+1,175
2Malignant neoplasms+713
3Accidents+627
4All other diseases+403
Local excess vs United States
1Major cardiovascular+1,090
2Malignant neoplasms+685
3Accidents+428
4All other diseases+381

A positive difference identifies where the observed local rate exceeds the selected benchmark rate. It does not establish why that difference exists or estimate preventable YPLL75.

Do the leading priorities look similar?

Top three cause-specific rates within each geography, 2010-2024 pooled period.

SWVA + NETN
  1. 1Major cardiovascular
  2. 2Malignant neoplasms
  3. 3Accidents
59.9% of YPLL75
Tennessee
  1. 1Major cardiovascular
  2. 2Accidents
  3. 3Malignant neoplasms
57.4% of YPLL75
Virginia
  1. 1Malignant neoplasms
  2. 2Major cardiovascular
  3. 3Accidents
55.9% of YPLL75
United States
  1. 1Malignant neoplasms
  2. 2Major cardiovascular
  3. 3Accidents
54.6% of YPLL75
The same three causes appear in every top three: Major cardiovascular, Malignant neoplasms, and Accidents. Their order differs by geography.
Are all leading local rates higher? No. Accidents was below Tennessee but above Virginia.

Which age bands contribute most to the difference?

Age-specific YPLL75 pooled observed rate per 100,000 residents in each age band, 2010-2024 pooled period.

45-54 years
16.6K
TN 14.7K · VA 9.3K · U.S. 10.5K
+1.9K vs TN+7.3K vs VA+6.1K vs U.S.
55-64 years
20K
TN 18.2K · VA 12.8K · U.S. 13.6K
+1.8K vs TN+7.1K vs VA+6.3K vs U.S.
65-74 years
12.7K
TN 11.7K · VA 9.1K · U.S. 9.3K
+958.7 vs TN+3.5K vs VA+3.4K vs U.S.
Where is the largest observed gap?

45-54 years had the largest positive local difference versus Tennessee, 45-54 years versus Virginia, and 55-64 years versus the U.S.

Is the older-age pattern consistent?

All three age bands from 45 through 74 were above Tennessee, Virginia, and the U.S. in the 2010-2024 period. Together, ages 45-74 represented 70.0% of local YPLL75, compared with 59.2% in Tennessee and 59.2% in Virginia, and 56.9% nationally.

All age-band benchmark values
Full selected-period age comparison with suppression-aware zero handling
OpenClose
Age bandSWVA + NETNTennesseeVirginiaUnited StatesLocal vs TNLocal vs VALocal vs U.S.
0-4 years8,325.610,624.38,949.39,833.5-2,298.7-623.7-1,507.9
5-14 years0 exact*735.4545.3875.1n/a*n/a*n/a*
15-24 years3,011.54,944.63,430.43,976.2-1,933.1-418.8-964.7
25-34 years6,858.57,691.74,886.95,844.5-833.1+1,971.7+1,014.0
35-44 years10,898.410,160.76,102.07,181.6+737.6+4,796.4+3,716.7
45-54 years16,582.514,695.79,329.810,465.3+1,886.8+7,252.8+6,117.2
55-64 years19,967.118,174.812,840.413,636.5+1,792.4+7,126.7+6,330.6
65-74 years12,663.211,704.59,138.99,299.1+958.7+3,524.4+3,364.1

*A zero exact local value may include CDC-suppressed cells and is not interpreted as no deaths. Comparisons at younger ages should be read cautiously because smaller local cells are suppressed more often.

Annual geographic benchmark table
Every annual observed rate and local-benchmark difference from 2010 through 2024
OpenClose
YearSWVA + NETNTennesseeVirginiaUnited StatesLocal vs TNLocal vs VALocal vs U.S.
2010-2024 pooled period · selected10,408.69,733.76,648.87,372.0+6.9%+56.5%+41.2%
20108,965.58,711.96,127.46,797.6+2.9%+46.3%+31.9%
20119,248.38,712.26,185.56,826.8+6.2%+49.5%+35.5%
20129,460.18,745.56,112.96,789.2+8.2%+54.8%+39.3%
20139,265.58,633.36,068.36,811.2+7.3%+52.7%+36.0%
20149,537.98,882.46,117.06,859.1+7.4%+55.9%+39.1%
20159,790.89,009.26,286.07,014.8+8.7%+55.8%+39.6%
201610,061.49,242.16,502.27,226.5+8.9%+54.7%+39.2%
201710,230.09,451.76,487.67,239.5+8.2%+57.7%+41.3%
20189,977.69,501.56,447.57,141.3+5.0%+54.8%+39.7%
201910,317.89,499.96,388.17,126.7+8.6%+61.5%+44.8%
202011,917.911,107.27,524.08,406.9+7.3%+58.4%+41.8%
202113,711.312,876.48,278.89,204.5+6.5%+65.6%+49.0%
202212,658.211,295.37,722.68,276.9+12.1%+63.9%+52.9%
202310,847.210,403.26,973.77,636.9+4.3%+55.5%+42.0%
202410,302.79,514.16,384.67,080.2+8.3%+61.4%+45.5%
Long-term cause movement
2010-to-2024 rate changes for the eight leading local causes in 2024
OpenClose
Largest increase among the 2024 leaders: Chronic liver disease/cirrhosis at +117.8% since 2010.
Leading causes with a lower local rate than 2010: Malignant neoplasms.
CauseLocal 2010Local 2024Local changeTN changeVA changeU.S. change
Major cardiovascular2,230.32,523.0+13.1%+1.4%+4.4%+1.8%
Malignant neoplasms2,118.21,967.6-7.1%-17.1%-16.5%-17.2%
Accidents1,508.31,938.8+28.5%+35.1%+44.3%+32.8%
All other diseases701.21,047.0+49.3%+29.3%+28.5%+23.9%
Suicide514.0591.1+15.0%+8.9%+14.8%+14.4%
Chronic lower respiratory disease369.9492.8+33.2%+8.4%-4.3%-7.2%
Chronic liver disease/cirrhosis191.1416.3+117.8%+68.3%+42.4%+36.6%
Perinatal conditions275.6299.9+8.8%-13.0%-23.7%-23.9%

Percent changes compare observed crude cause-specific rates in 2010 and 2024. They are descriptive and may reflect changes in mortality, age composition, population size, and suppression.

Full cause comparison table
Sortable cause-specific observed rates for all non-zero broad-frame rows in 2010-2024 pooled period
OpenClose
Major cardiovascular diseases (I00-I78)
GR113-053
2,432.81,984.11,257.81,342.4+22.6%+93.4%+81.2%
Malignant neoplasms (C00-C97)
GR113-019
2,075.51,729.81,362.81,390.1+20.0%+52.3%+49.3%
Accidents (unintentional injuries) (V01-X59,Y85-Y86)
GR113-112
1,721.61,876.31,094.71,293.1-8.2%+57.3%+33.1%
All other diseases (Residual)
GR113-111
1,020.1830.6617.3638.9+22.8%+65.2%+59.7%
Intentional self-harm (suicide) (*U03,X60-X84,Y87.0)
GR113-124
572.3491.6407.4420.1+16.4%+40.5%+36.2%
Chronic lower respiratory diseases (J40-J47)
GR113-082
483.3318.6159.3197.1+51.7%+203.3%+145.2%
Chronic liver disease and cirrhosis (K70,K73-K74)
GR113-093
355.5254.1171.0214.6+39.9%+107.9%+65.6%
Diabetes mellitus (E10-E14)
GR113-046
318.8267.9204.8206.5+19.0%+55.6%+54.4%
Other and unspecified infectious and parasitic diseases and their sequelae (A00,A05,A20-A36,A42-A44,A48-A49,A54-A79,A81-A82,A85.0-A85.1,A85.8,A86-B04,B06-B09,B25-B49,B55-B99,U07.1)
GR113-018
245.5213.1119.6174.5+15.2%+105.3%+40.7%
Certain conditions originating in the perinatal period (P00-P96)
GR113-108
234.2280.9286.4269.7-16.6%-18.2%-13.2%
Symptoms, signs and abnormal clinical and laboratory findings, not elsewhere classified (R00-R99)
GR113-110
197.8251.8141.1157.3-21.5%+40.1%+25.7%
Influenza and pneumonia (J09-J18)
GR113-076
168.2122.061.384.5+37.8%+174.5%+99.1%
Septicemia (A40-A41)
GR113-010
122.697.986.486.6+25.3%+41.9%+41.6%
Congenital malformations, deformations and chromosomal abnormalities (Q00-Q99)
GR113-109
104.0188.0138.1160.6-44.7%-24.7%-35.2%
Other diseases of respiratory system (J00-J06,J30- J39,J67,J70-J98)
GR113-089
102.372.262.471.6+41.6%+64.0%+42.8%
Nephritis, nephrotic syndrome and nephrosis (N00-N07,N17-N19,N25-N27)
GR113-097
98.393.288.079.7+5.4%+11.7%+23.2%
Viral hepatitis (B15-B19)
GR113-015
39.449.518.326.7-20.5%+115.5%+47.5%
Assault (homicide) (*U01-*U02,X85-Y09,Y87.1)
GR113-127
38.0356.1216.1260.6-89.3%-82.4%-85.4%
Alzheimer disease (G30)
GR113-052
20.026.014.017.9-23.0%+42.7%+12.0%
Pneumonitis due to solids and liquids (J69)
GR113-088
15.825.617.921.5-38.3%-11.8%-26.5%
Parkinson disease (G20-G21)
GR113-051
12.714.010.811.8-9.2%+17.7%+7.3%
In situ neoplasms, benign neoplasms and neoplasms of uncertain or unknown behavior (D00-D48)
GR113-044
12.319.117.926.9-35.6%-31.0%-54.2%
Events of undetermined intent (Y10-Y34,Y87.2,Y89.9)
GR113-131
7.845.415.754.3-82.9%-50.4%-85.7%
Pneumoconioses and chemical effects (J60-J66,J68,U07.0)
GR113-087
3.20.00.60.5n/a+428.9%+537.8%
Nutritional deficiencies (E40-E64)
GR113-047
2.97.63.98.2-61.5%-25.3%-64.2%
Certain other intestinal infections (A04,A07-A09)
GR113-003
2.49.29.016.0-73.5%-72.7%-84.8%
Anemias (D50-D64)
GR113-045
0.83.97.313.3-79.4%-89.1%-94.0%
Complications of medical and surgical care (Y40-Y84,Y88)
GR113-135
0.49.75.112.2-95.7%-91.8%-96.6%
Salmonella infections (A01-A02)
GR113-001
0.00.00.00.0n/an/a-100.0%
Tuberculosis (A16-A19)
GR113-004
0.00.00.01.6n/an/a-100.0%
Whooping cough (A37)
GR113-007
0.00.00.00.1n/an/a-100.0%
Meningococcal infection (A39)
GR113-009
0.00.00.00.1n/an/a-100.0%
Syphilis (A50-A53)
GR113-011
0.00.00.00.1n/an/a-100.0%
Human immunodeficiency virus (HIV) disease (B20-B24)
GR113-016
0.052.631.245.1-100.0%-100.0%-100.0%
Meningitis (G00,G03)
GR113-050
0.00.00.04.4n/an/a-100.0%
Other disorders of circulatory system (I80-I99)
GR113-075
0.017.78.319.6-100.0%-100.0%-100.0%
Other acute lower respiratory infections (J20-J22,U04)
GR113-079
0.00.00.01.5n/an/a-100.0%
Peptic ulcer (K25-K28)
GR113-090
0.06.82.17.2-100.0%-100.0%-100.0%
Diseases of appendix (K35-K38)
GR113-091
0.00.00.01.0n/an/a-100.0%
Hernia (K40-K46)
GR113-092
0.01.00.33.6-100.0%-100.0%-100.0%
Cholelithiasis and other disorders of gallbladder (K80-K82)
GR113-096
0.02.91.44.7-100.0%-100.0%-100.0%
Infections of kidney (N10-N12,N13.6,N15.1)
GR113-102
0.00.20.02.0-100.0%-100.0%-100.0%
Hyperplasia of prostate (N40)
GR113-103
0.00.00.00.2n/an/a-100.0%
Inflammatory diseases of female pelvic organs (N70-N76)
GR113-104
0.00.00.00.4n/an/a-100.0%
Pregnancy, childbirth and the puerperium (O00-O99)
GR113-105
0.013.910.415.4-100.0%-100.0%-100.0%
Legal intervention (Y35,Y89.0)
GR113-130
0.00.00.07.5n/an/a-100.0%
Operations of war and their sequelae (Y36,Y89.1)
GR113-134
0.00.00.00.0n/an/a-100.0%
Geographic comparison data and method audit
Source files, 2018-2020 bridge validation, pooled person-year rates, downloads, and caveats
OpenClose

2010–2024 average annual rate

Total YPLL75 divided by the sum of 15 annual under-75 populations, multiplied by 100,000.

GeographyAverage annual rateYPLL/death
SWVA + NETN10,408.614.7
Tennessee9,733.717.0
Virginia6,648.816.7
United States7,372.017.2
Bridge validation passed

Tennessee, Virginia, and the United States matched exactly across 2018, 2019, and 2020 in both CDC source series. Deaths, YPLL75, population, suppression status, and every year-age-cause key reconciled before the series were joined.

2018
0 differences
2019
0 differences
2020
0 differences

Downloadable audit files

Annual benchmark CSVCause benchmark CSVAge benchmark CSVSix CDC source files
These are descriptive benchmarks. Tennessee, Virginia, and the United States include the SWVA + NETN localities and are not statistically independent comparison groups.
Rates are observed crude YPLL75 rates for residents under age 75, not age-adjusted rates. Age-specific comparisons are provided to show population-pattern differences.
Suppressed CDC cells are retained in the audit and excluded from exact deaths and YPLL75; no suppressed count is estimated or treated as zero.
Because smaller geographies generally have more suppressed cells, SWVA + NETN exact death and YPLL75 totals may be more understated than state or national totals.
State and national raw totals are not compared directly with the coverage-area total because their populations are much larger.
The 0-4 comparison band combines the CDC <1 and 1-4 mortality rows to match the available catchment population denominator.
Calculation: YPLL75 = exact deaths × (75 − age-group midpoint). The same 53-code additive broad frame is used for SWVA + NETN, Tennessee, Virginia, and the United States. Zero rows remain zero; suppressed rows are excluded and never imputed.
9 · Goals & action opportunities

Northstar goals

10%
Reduce infant YPLL75
20%
Reduce rural YPLL75
100K
Years of potential life saved
Evidence-supported action opportunities
Cardiovascular disease, cancer, injury, suicide, and additional prevention lanes
Priority area 1

Major cardiovascular disease

318.8K
YPLL75

Largest total YPLL75 in the broad-frame report.

Evidence-supported approaches
  • • Team-based hypertension care
  • • Blood pressure control
  • • Cholesterol management
  • • Tobacco cessation
Monitoring measures
  • • Hypertension control rate
  • • Statin use among eligible patients
  • • Tobacco-treatment referral
Community Guide: team-based BP careMillion Hearts 2027 priorities
Priority area 2

Malignant neoplasms / cancer

272K
YPLL75

Second-largest broad-frame YPLL75 driver; screening and vaccination lanes align with several preventable or earlier-detectable cancers.

Evidence-supported approaches
  • • Breast, cervical, colorectal, and lung cancer screening
  • • Patient reminders and provider reminders
  • • Patient navigation and community health workers
  • • Multicomponent screening interventions
Monitoring measures
  • • Screening completion by cancer type
  • • Abnormal-result follow-up time
  • • HPV vaccine completion
CDC cancer screening testsCommunity Guide cancer screening remindersCDC cancer vaccines
Priority area 3

Accidents / unintentional injuries

225.6K
YPLL75

Accidents rank third by YPLL75; poisoning/nontransport injuries and motor vehicle injuries explain much of accident-related YPLL75.

Evidence-supported approaches
  • • Medications for opioid use disorder
  • • Naloxone distribution
  • • Harm reduction
  • • Linkage to care after overdose
Monitoring measures
  • • Naloxone kits distributed
  • • MOUD initiation
  • • MOUD retention
CDC OUD treatmentCDC linkage to MOUDCDC naloxone / overdose reversal
Priority area 4

Suicide

75K
YPLL75

High YPLL per death means these deaths occur earlier in life and carry more lost years.

Evidence-supported approaches
  • • Comprehensive suicide prevention
  • • 988 and crisis-care promotion
  • • Suicide risk assessment and triage
  • • Safety planning
Monitoring measures
  • • Suicide deaths
  • • ED visits for self-harm
  • • Safety-plan completion
CDC suicide prevention resourceSAMHSA SAFE-TSPRC comprehensive approach

Additional prevention lanes

Chronic lower respiratory disease / COPD

63.3K YPLL75

Tobacco cessation; Secondhand-smoke reduction; Occupational and environmental exposure reduction.

CDC about COPDCDC smoking and COPD

Diabetes mellitus

41.8K YPLL75

National Diabetes Prevention Program for people with prediabetes; Diabetes self-management education and support; Team-based diabetes management.

CDC National DPPCDC DSMES

Perinatal conditions / infant mortality signal

30.7K YPLL75

Early and continuous prenatal care; Tobacco cessation during pregnancy; Alcohol and drug avoidance with treatment linkage when needed.

CDC preterm birthCDC safe sleep
10 · Scenario planning

Planning paths make assumptions visible; they do not predict the future.

Each path starts at the 2024 actual and represents a distinct planning assumption for the 2030 endpoint.

Horizontal scroll available for full chart labels.
YPLL75 actuals from 2010 through 2024 and planning paths through 2030Y-axis: YPLL75Actual 2010-2024Long-runReferenceTargetCOVID disruption70K80K90K100K110K120K130K2021 peak: 118.3K2024 actual: 89.6KLong-run: 99.2KReference: 84.9KTarget: 80.6K201020132016201920212024202620282030planning anchor

Interpretation: The lines frame planning conversations and are not statistical forecasts or confidence intervals.

Scenario formulas and assumptions
Transparent arithmetic behind each 2030 endpoint

Long-run trajectory: least-squares trend through 2010-2019, anchored to the 2024 actual; historical slope +920.7 YPLL75 per year.

Reference path: linear connection from the 2024 actual to the 2010-2019 average of 84,937.8 YPLL75.

Action target: linear connection from the 2024 actual to 80,632.8 YPLL75 in 2030, exactly 10% below the anchor.

11 · Supporting evidence

Detailed evidence is available without crowding the principal findings.

Supporting layers include cause subcategories, the residual definition, and the full sortable evidence explorer.

Cause subcategory tables
Cancer, heart, and accident detail from the same CDC pull
These are non-additive drilldowns from the same CDC pull. Child rows explain a parent category and must not be added to the broad-frame totals.
Cancer detail
272K parent YPLL75; 21 available subcategories
SubcategoryDeathsYPLL75YPLL/deathParent share
Malignant neoplasms of trachea, bronchus and lung (C33-C34)
GR113-027
7,64379,985.010.529.4%
All other and unspecified malignant neoplasms (C17,C23-C24,C26-C31,C37-C41,C44-C49,C51-C52,C57-C60,C62-C63,C66,C68-C69,C73-C80,C97)
GR113-043
2,59430,200.011.611.1%
Malignant neoplasms of colon, rectum and anus (C18-C21)
GR113-023
1,85722,135.011.98.1%
Malignant neoplasm of breast (C50)
GR113-029
1,42117,545.012.36.5%
Malignant neoplasm of pancreas (C25)
GR113-025
1,39014,480.010.45.3%
Malignant neoplasms of lymphoid, hematopoietic and related tissue (C81-C96)
GR113-037
1,53014,470.09.55.3%
Malignant neoplasms of liver and intrahepatic bile ducts (C22)
GR113-024
9077,995.08.82.9%
Malignant neoplasm of esophagus (C15)
GR113-021
5845,700.09.82.1%
Malignant neoplasms of meninges, brain and other parts of central nervous system (C70-C72)
GR113-036
5365,340.010.02.0%
Leukemia (C91-C95)
GR113-040
5254,165.07.91.5%
Malignant neoplasms of kidney and renal pelvis (C64-C65)
GR113-034
4554,075.09.01.5%
Non-Hodgkin lymphoma (C82-C85)
GR113-039
5073,955.07.81.5%
Malignant neoplasms of lip, oral cavity and pharynx (C00-C14)
GR113-020
3093,395.011.01.2%
Malignant neoplasm of prostate (C61)
GR113-033
4633,055.06.61.1%
Malignant neoplasm of ovary (C56)
GR113-032
3672,875.07.81.1%
Malignant neoplasm of bladder (C67)
GR113-035
3482,350.06.80.9%
Multiple myeloma and immunoproliferative neoplasms (C88,C90)
GR113-041
2151,495.07.00.5%
Malignant melanoma of skin (C43)
GR113-028
1111,155.010.40.4%
Malignant neoplasms of corpus uteri and uterus, part unspecified (C54-C55)
GR113-031
1561,110.07.10.4%
Malignant neoplasm of stomach (C16)
GR113-022
96480.05.00.2%
Malignant neoplasm of larynx (C32)
GR113-026
45445.09.90.2%
Heart detail
268.4K parent YPLL75; 11 available subcategories
SubcategoryDeathsYPLL75YPLL/deathParent share
Ischemic heart diseases (I20-I25)
GR113-058
13,491168,385.012.562.7%
Other forms of chronic ischemic heart disease (I20,I25)
GR113-061
8,02898,080.012.236.5%
Other heart diseases (I26-I51)
GR113-064
5,23969,445.013.325.9%
Acute myocardial infarction (I21-I22)
GR113-059
4,99762,265.012.523.2%
All other forms of chronic ischemic heart disease (I20,I25.1-I25.9)
GR113-063
5,33259,400.011.122.1%
All other forms of heart disease (I26-I28,I34-I38,I42-I49,I51)
GR113-068
4,09954,935.013.420.5%
Atherosclerotic cardiovascular disease, so described (I25.0)
GR113-062
2,58334,725.013.412.9%
Hypertensive heart disease (I11)
GR113-056
1,31016,680.012.76.2%
Heart failure (I50)
GR113-067
8446,600.07.82.5%
Other acute ischemic heart diseases (I24)
GR113-060
2372,785.011.81.0%
Hypertensive heart and renal disease (I13)
GR113-057
151855.05.70.3%
Accident detail
225.6K parent YPLL75; 7 available subcategories
SubcategoryDeathsYPLL75YPLL/deathParent share
Nontransport accidents (W00-X59,Y86)
GR113-117
5,948156,564.526.369.4%
Accidental poisoning and exposure to noxious substances (X40-X49)
GR113-122
3,912119,140.030.552.8%
Transport accidents (V01-V99,Y85)
GR113-113
2,22167,555.030.429.9%
Motor vehicle accidents (V02-V04,V09.0,V09.2,V12-V14,V19.0-V19.2,V19.4-V19.6,V20-V79,V80.3-V80.5,V81.0-V81.1,V82.0-V82.1,V83-V86,V87.0-V87.8,V88.0-V88.8,V89.0,V89.2)
GR113-114
2,09264,100.030.628.4%
Other and unspecified nontransport accidents and their sequelae (W20-W31,W35-W64,W75-W99,X10-X39,X50-X59,Y86)
GR113-123
6089,175.015.14.1%
Falls (W00-W19)
GR113-118
5564,690.08.42.1%
Accidental exposure to smoke, fire and flames (X00-X09)
GR113-121
10150.015.00.1%
Definition of “All other diseases (Residual)”
CDC ICD ranges, descriptive groupings, YPLL75, and limits of the available pull
Full-period residual YPLL75
133.7K
YPLL75 in the broad residual row

This is a CDC-defined catch-all for disease codes not separately displayed elsewhere in the selected 113-cause frame. It is not one disease.

D65-E07

Blood, immune, coagulation, and thyroid disorders

E15-E34

Other endocrine and gland disorders excluding diabetes

E65-F99

Obesity, metabolic, and mental or behavioral disorders

G04-H93

Other nervous-system, eye, and ear diseases

K00-K22, K29-K31

Oral, esophageal, stomach, and duodenal disorders

K50-K76

Intestinal, peritoneal, hepatic failure, and other liver diseases

K83-M99

Biliary, pancreatic, skin, and musculoskeletal diseases

N13-N98

Other urinary, kidney, genital, and reproductive disorders

The current CDC pull confirms the residual total, annual pattern, age pattern, and suppression count. It does not identify which individual disease inside this residual bucket dominates locally.

CDC 113-cause recode documentationCDC WONDER data notes
Interactive data explorer
Trend, causes, cause-by-year heatmap, planning paths, and source audit
Data auditCDC pulls: 2010-2024

Explore the evidence behind every number.

The audit tables are collapsed by default. Open them when you need to filter, sort, and inspect the CDC-derived rows behind the report.

CDC source rows
18,495
13,755 numeric cells, including 10,699 zero
Suppressed rows
4,740
25.6% of raw rows retained for context
Broad numeric rows
5,423
7,155 raw; 1,732 suppressed
The report shows total YPLL75 plus the catchment-wide actual YPLL75 rate per 100,000 residents under age 75. It is appropriate for identifying YPLL75 drivers and planning priorities. County-to-county comparison would still require a county-specific, suppression-safe rate analysis.
Zero and suppressed rows remain visible in the CDC source audit. Exact YPLL totals use positive numeric deaths only, so suppressed cells are not silently treated as zero.
Open audit tables
Data audit and methods

Every displayed total traces to the source pulls.

The downloadable data package keeps every CDC pull on a separate worksheet and includes the population inputs, county classification, source index, and data dictionary. It contains no report calculations or pivot tables.

Download source data
Source rows
18,495
Exact positive rows
3,056
Zero rows
10,699
Suppressed rows
4,740
How YPLL75 was calculated
Reference age, midpoint weights, additive frame, and suppression handling
Source use

Mortality, death, cause, age, and YPLL75 values are generated from the CDC source pulls; Census estimates provide population denominators for the observed rate. No external comparison report supplies displayed results.

Reference age

75

Midpoints

<1=0.5; 1-4=3; 5-14=10; 15-24=20; 25-34=30; 35-44=40; 45-54=50; 55-64=60; 65-74=70.

YPLL formula

YPLL75 = deaths x (75 - age-group midpoint).

Population context

Annual catchment resident population denominators are from the U.S. Census Bureau. The report shows the actual YPLL75 rate per 100,000 residents under age 75 alongside total YPLL75.

Rate caveat

The rate describes the combined SWVA + NETN coverage area. County-level comparison requires a county-specific, suppression-safe rate analysis.

Additive frame

Year, age, cause, trend, and projection views use positive numeric rows in the non-overlapping broad ICD-10 113-cause frame.

Detail views

Cancer, heart, accident, despair, and COVID views are drilldowns; parent/detail rows should not be added together.

Zero and suppressed rows

The raw CDC pull includes 10,699 zero-death rows and 4,740 suppressed rows. Zero rows are retained for audit but do not change YPLL totals; suppressed rows are retained and flagged but excluded from exact death/YPLL totals because CDC does not provide the count.

ICD-10 113 drilldown

Broad-frame totals use the selected non-overlapping parent rows only. Detail rows shown beneath a parent are drilldown evidence from the same CDC pull and are not added to the broad-frame totals.

CDC query notes

The downloadable source-data workbook keeps each CDC pull on a separate worksheet. Source footer/query notes are retained with the corresponding pull when available, and the package includes a source index and data dictionary.

Scenario planning

The 2030 paths are illustrative planning references: a 2010-2019 long-run trajectory, return to the 2010-2019 average, and a 10% reduction target from the 2024 actual. They are not forecasts or confidence intervals.

Coverage area
23 county-equivalent geographies in SWVA + NETN
Carter County, TN (47019)
Cocke County, TN (47029)
Greene County, TN (47059)
Hamblen County, TN (47063)
Hancock County, TN (47067)
Hawkins County, TN (47073)
Johnson County, TN (47091)
Sullivan County, TN (47163)
Unicoi County, TN (47171)
Washington County, TN (47179)
Buchanan County, VA (51027)
Dickenson County, VA (51051)
Grayson County, VA (51077)
Lee County, VA (51105)
Russell County, VA (51167)
Scott County, VA (51169)
Smyth County, VA (51173)
Tazewell County, VA (51185)
Washington County, VA (51191)
Wise County, VA (51195)
Wythe County, VA (51197)
Bristol city, VA (51520)
Norton city, VA (51720)
Source series and reproducibility
CDC mortality series, Census population context, bridge check, and publication status
Publication status
Production web report and source-data package published 2026-07-15; data through 2024.
CDC mortality source
2010-2020: CDC WONDER Underlying Cause of Death, 1999-2020 Bridged-Race. 2021-2024: CDC WONDER Underlying Cause of Death, 2018-2024 Single-Race.
Bridge check
2018, 2019, and 2020 broad-frame deaths and YPLL75 matched exactly before the two source series were joined.
Geography
23 SWVA + NETN county-equivalent geographies listed in the Coverage area disclosure and source-data package.
Cause frame
CDC ICD-10 113 Cause List. Broad totals use the selected additive parent frame only; detail categories are not added back to parents.
Population denominators
U.S. Census county resident population estimates: 2010-2019 intercensal series and 2020-2024 Vintage 2024 PEP series.
Suppression handling
Suppressed CDC cells are retained for audit and excluded from exact numeric death and YPLL75 totals. They are never converted to zero or estimated.
Gender scope
Gender results cover 2010-2024. The 2018-2020 overlap matched exactly; the 2010-2017 export omits zero-death cells, so combined row-level suppression percentages are not reported.
CDC WONDER 1999-2020CDC WONDER Single RaceCensus population file 1Census population file 2Census population file 3Census population file 4
Version 2.0 release information
Data period 2010-2024 · reviewed July 2026
Current release
Version 2.0
Data period
2010-2024
Data through
2024
Reviewed
July 2026

Version 2.0 additions

  • Formal footer stewardship credit and citation
  • Dedicated printable briefing sheet
  • Shareable trend and period selections
  • Standalone sex-pattern section with selected-period completeness
  • Briefing-based action opportunities and tracker
  • Descriptive sharing metadata and accessibility refinements
  • State and national YPLL75 benchmark context
Race/ethnicity and county-risk comparisons remain outside this release until method-aligned mortality pulls, denominators, and suppression rules are available. No comparative values are inferred from the current data.
CDC WONDER Underlying Cause of Death · U.S. Census population estimates · YPLL75 midpoint methodVersion 2.0 · data through 2024