PlainHealth

Compare Causes of Death

Select two causes of death to compare total deaths, age-adjusted rates, most-affected states, and 19-year national trends. Data from CDC WONDER, 1999–2017.

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Summary (2017)

Alzheimer's disease

Total Deaths
121,404
Avg Rate /100K
32.1
Highest Rate State
Mississippi
49.6/100K
Lowest Rate State
New York
13.2/100K

CLRD

Total Deaths
160,201
Avg Rate /100K
43.8
Highest Rate State
Arkansas
66.7/100K
Lowest Rate State
Hawaii
19.0/100K

Head-to-Head (2017)

Metric Alzheimer's disease CLRD Difference
Total Deaths 121,404 160,201 B +38,797 (24%)
Avg Age-Adjusted Rate 32.1/100K 43.8/100K B +11.7/100K
Highest Rate State Mississippi
49.6/100K
Arkansas
66.7/100K
Different states
Lowest Rate State New York
13.2/100K
Hawaii
19.0/100K
Different states

Age-Adjusted Rate Trend

National average age-adjusted death rate per 100,000 population, 1999–2017.

View trend data as table
Year Alzheimer's disease CLRD
1999 17.5 47.0
2000 19.5 45.8
2001 20.8 45.5
2002 22.6 45.8
2003 23.5 45.4
2004 23.8 43.2
2005 25.2 46.0
2006 24.9 42.9
2007 25.4 43.1
2008 26.9 46.9
2009 25.2 45.0
2010 26.2 44.4
2011 25.9 44.9
2012 24.9 43.6
2013 24.2 44.2
2014 26.1 43.0
2015 30.0 44.4
2016 30.9 43.2
2017 32.1 43.8

Top 5 States by Death Rate (2017)

States with the highest age-adjusted death rates for each cause.

Alzheimer's disease

2. Tennessee 46.7/100K
3. Washington 46.0/100K
4. Georgia 46.0/100K
5. Alabama 45.2/100K

CLRD

Lowest 5 States by Death Rate (2017)

Alzheimer's disease

CLRD

Age-adjusted rates per 100,000 population, using year 2000 US standard population. ICD-10 codes: G30 (Alzheimer's disease), J40-J47 (CLRD). Source: CDC WONDER, Underlying Cause of Death.

How PlainHealth Comparison Works

The comparison tool lets you stack two or more records side by side so you can see their key metrics at the same time. Comparisons are produced deterministically from the underlying dataset — the same inputs always produce the same output — so you can cite them, bookmark them, and return later with confidence that the numbers have not been quietly edited by an algorithm tuned for engagement.

Reading a Comparison Page Well

Comparison tables highlight differences first and similarities second. Pay attention to the time frame each column covers — records refreshed at different cadences can appear more different than they really are. Look at the denominator of any rate-based field; a record with a small denominator can show a dramatic rate from a handful of observations. Where a metric is known to be noisy, we flag it on the page. The goal is to help you triage quickly, then click through to the full records for the substantive detail.

When to Use Compare

Comparison is most useful early in research — when you want to shortlist candidates, narrow a geography, or decide which records deserve a deeper read. It is less useful as the final step of a consequential decision. Once you have shortlisted records from the comparison view, click through to the full record page to see every field, the methodology notes, and any warnings we attach to the data quality of that specific record. For legal, medical, financial, safety, or employment decisions, verify the underlying fact with the issuing agency before acting.

Methodology Notes

The comparison page pulls live from the same canonical dataset that powers the rest of the site. We do not re-rank, re-weight, or post-process values for the comparison view — every cell you see is the same value you would see on the individual record page. When a field is missing on one of the compared records, we show an em dash rather than a zero, so that "absent" is never confused with "zero." If a comparison appears to contradict a record page, email us the specific record IDs and we will triage within the next refresh cycle.