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Data Table for Rate/Trend Comparison by Cancer

Death Rate/Trend Comparison by Cancer, 2016-2020

California Counties versus United States

Non-Hodgkin Lymphoma

All Races, Both Sexes

Sorted by rateratio
Counties
 sort alphabetically by name ascending
Priority Index1
1=highest
9=lowest

 sort by priority index descending
Recent Trend2
County Death
Rate
Compared
to
US Rate
Average Annual Count
 sort by count descending
Age-Adjusted Death Rate

deaths per 100,000
(95% Confidence Interval)
 sort by rate descending
Rate
Ratio3
County
to
US
 sort by rate descending
Recent 5-Year Trend2 in Death Rates
(95% Confidence Interval)
 sort by trend descending
United States - falling falling trend - 20,291 5.1 (5.1, 5.2) - -2.2 (-2.3, -2.1)
California - falling falling trend - 2,152 4.9 (4.8, 5.0) - -2.2 (-2.4, -2.0)
Merced County 9 falling falling trend lower 9 3.8 (2.8, 5.1) 0.7 -4.5 (-6.1, -3.0)
San Francisco County 9 falling falling trend lower 46 4.1 (3.6, 4.7) 0.8 -3.0 (-3.6, -2.4)
Santa Cruz County 8 falling falling trend similar 14 4.2 (3.3, 5.4) 0.8 -2.5 (-3.7, -1.3)
San Mateo County 9 falling falling trend lower 42 4.2 (3.7, 4.9) 0.8 -4.6 (-5.9, -3.4)
Marin County 8 falling falling trend similar 19 4.3 (3.5, 5.4) 0.8 -2.2 (-3.3, -1.1)
Imperial County 8 falling falling trend similar 8 4.4 (3.2, 6.0) 0.9 -1.8 (-3.3, -0.3)
San Bernardino County 9 falling falling trend lower 90 4.5 (4.1, 5.0) 0.9 -4.2 (-5.7, -2.7)
Santa Clara County 8 falling falling trend similar 97 4.6 (4.2, 5.1) 0.9 -3.5 (-4.6, -2.3)
Kern County 8 falling falling trend similar 36 4.7 (4.0, 5.5) 0.9 -3.2 (-4.8, -1.6)
Alameda County 8 falling falling trend similar 84 4.7 (4.3, 5.2) 0.9 -2.2 (-2.7, -1.6)
Tuolumne County 6 stable stable trend similar 5 4.8 (3.0, 7.6) 0.9 -1.8 (-3.7, 0.2)
Orange County 8 falling falling trend similar 177 4.8 (4.5, 5.2) 0.9 -2.2 (-2.5, -1.9)
Madera County 8 falling falling trend similar 8 4.9 (3.4, 6.7) 0.9 -2.7 (-4.3, -1.1)
Mendocino County 8 falling falling trend similar 6 4.9 (3.3, 7.1) 0.9 -1.8 (-3.1, -0.4)
Riverside County 8 falling falling trend similar 132 4.9 (4.5, 5.3) 1.0 -1.7 (-2.1, -1.2)
Los Angeles County 8 falling falling trend similar 534 4.9 (4.7, 5.1) 1.0 -2.2 (-2.5, -1.8)
Tehama County 8 falling falling trend similar 4 4.9 (3.0, 7.7) 1.0 -2.9 (-4.4, -1.4)
San Diego County 8 falling falling trend similar 181 4.9 (4.6, 5.3) 1.0 -2.6 (-3.1, -2.2)
Santa Barbara County 8 falling falling trend similar 27 5.0 (4.2, 5.9) 1.0 -1.9 (-2.6, -1.1)
Solano County 8 falling falling trend similar 26 5.0 (4.1, 5.9) 1.0 -2.0 (-3.0, -1.1)
Sonoma County 8 falling falling trend similar 35 5.1 (4.3, 5.9) 1.0 -2.4 (-3.2, -1.6)
Contra Costa County 8 falling falling trend similar 70 5.1 (4.6, 5.7) 1.0 -2.7 (-3.4, -2.1)
Lake County 6 stable stable trend similar 5 5.1 (3.3, 7.8) 1.0 -1.5 (-3.1, 0.2)
Napa County 8 falling falling trend similar 10 5.1 (3.8, 6.8) 1.0 -2.2 (-3.4, -1.1)
Ventura County 6 stable stable trend similar 52 5.1 (4.5, 5.8) 1.0 0.1 (-1.9, 2.1)
San Luis Obispo County 8 falling falling trend similar 22 5.2 (4.2, 6.3) 1.0 -2.3 (-3.3, -1.3)
San Joaquin County 8 falling falling trend similar 39 5.2 (4.5, 6.0) 1.0 -1.6 (-2.6, -0.7)
Fresno County 8 falling falling trend similar 49 5.3 (4.6, 6.0) 1.0 -2.0 (-2.7, -1.4)
Placer County 8 falling falling trend similar 30 5.3 (4.4, 6.2) 1.0 -1.4 (-2.2, -0.5)
Sacramento County 8 falling falling trend similar 89 5.3 (4.8, 5.8) 1.0 -2.5 (-3.0, -1.9)
Shasta County 8 falling falling trend similar 14 5.4 (4.2, 6.9) 1.0 -1.9 (-2.9, -0.9)
Stanislaus County 8 falling falling trend similar 30 5.4 (4.5, 6.3) 1.0 -2.5 (-3.4, -1.7)
Tulare County 8 falling falling trend similar 22 5.4 (4.5, 6.6) 1.1 -1.3 (-2.0, -0.5)
Monterey County 8 falling falling trend similar 24 5.4 (4.5, 6.5) 1.1 -2.0 (-3.0, -1.0)
Yolo County 8 falling falling trend similar 11 5.5 (4.1, 7.1) 1.1 -1.4 (-2.5, -0.1)
Amador County 6 stable stable trend similar 4 5.6 (3.4, 9.2) 1.1 -1.8 (-4.3, 0.7)
El Dorado County 8 falling falling trend similar 16 5.6 (4.4, 7.0) 1.1 -1.4 (-2.7, -0.2)
Butte County 8 falling falling trend similar 18 6.1 (4.8, 7.5) 1.2 -1.3 (-2.2, -0.4)
Sutter County 6 stable stable trend similar 7 6.3 (4.3, 8.8) 1.2 -0.8 (-2.4, 0.8)
Siskiyou County 8 falling falling trend similar 5 6.9 (4.5, 10.6) 1.3 -2.2 (-3.7, -0.7)
Humboldt County 5 falling falling trend higher 12 7.2 (5.5, 9.4) 1.4 -2.1 (-3.1, -1.2)
Kings County 4 stable stable trend higher 11 8.5 (6.4, 11.2) 1.7 -16.1 (-52.2, 47.3)
Calaveras County
**
** similar 4 4.3 (2.4, 7.5) 0.8
**
Glenn County
**
** similar 3 9.7 (5.5, 16.0) 1.9
**
Nevada County
**
** similar 8 5.0 (3.5, 7.1) 1.0
**
Yuba County
**
** similar 5 6.1 (3.8, 9.2) 1.2
**
Alpine County
**
**
*
3 or fewer
*
*
**
Colusa County
**
**
*
3 or fewer
*
*
**
Del Norte County
**
**
*
3 or fewer
*
*
**
Inyo County
**
**
*
3 or fewer
*
*
**
Lassen County
**
**
*
3 or fewer
*
*
**
Mariposa County
**
**
*
3 or fewer
*
*
**
Modoc County
**
**
*
3 or fewer
*
*
**
Mono County
**
**
*
3 or fewer
*
*
**
Plumas County
**
**
*
3 or fewer
*
*
**
San Benito County
**
**
*
3 or fewer
*
*
**
Sierra County
**
**
*
3 or fewer
*
*
**
Trinity County
**
**
*
3 or fewer
*
*
**
Notes:
Created by statecancerprofiles.cancer.gov on 05/18/2024 6:31 pm.

Trend2
     Rising     when 95% confidence interval of average annual percent change is above 0.
     Stable     when 95% confidence interval of average annual percent change includes 0.
     Falling     when 95% confidence interval of average annual percent change is below 0.
Rate Comparison
     Above     when 95% confident the rate is above and Rate Ratio3 > 1.10
     Similar     when unable to conclude above or below with confidence.
     Below     when 95% confident the rate is below and Rate Ratio3 < 0.90

* Data has been suppressed to ensure confidentiality and stability of rate and trend estimates.
** Data are too sparse to provide stable estimates of annual rates needed to calculate trend.
1 Priority indices were created by ordering from rates that are rising and above the comparison rate to rates that are falling and below the comparison rate.
2 Recent trend in death rates is usually an Average Annual Percent Change (AAPC) based on the APCs calculated by Joinpoint Version 4.8.0.0. Due to data availability issues, the time period and/or calculation method used in the calculation of the trends may differ for selected geographic areas.
3 Rate ratio is the county rate divided by the US rate. Previous versions of this table used one-year rates for states and five-year rates for counties. As of June 2018, only five-year rates are used.
Source: Death data provided by the National Vital Statistics System public use data file. Death rates calculated by the National Cancer Institute using SEER*Stat. Death rates are age-adjusted to the 2000 US standard population (19 age groups: <1, 1-4, 5-9, ... , 80-84, 85+). The Healthy People 2020 goals are based on rates adjusted using different methods but the differences should be minimal. Population counts for denominators are based on Census populations as modified by NCI. The US Population Data File is used with mortality data.
Note: When the population size for a denominator is small, the rates may be unstable. A rate is unstable when a small change in the numerator (e.g., only one or two additional cases) has a dramatic effect on the calculated rate. Suppression is used to avoid misinterpretation when rates are unstable.

State Cancer Registries may provide more current or more local data. Data presented on the State Cancer Profiles Web Site may differ from statistics reported by the State Cancer Registries (for more information).

Data for the following has been suppressed to ensure confidentiality and stability of rate and trend estimates:
Alpine County, Colusa County, Del Norte County, Inyo County, Lassen County, Mariposa County, Modoc County, Mono County, Plumas County, San Benito County, Sierra County, Trinity County

Trend for the following could not be reliably determined due to small number of deaths per year:
Calaveras County, Glenn County, Nevada County, Yuba County


Interpret Rankings provides insight into interpreting cancer statistics. When the population size for a denominator is small, the rates may be unstable. A rate is unstable when a small change in the numerator (e.g., only one or two additional cases) has a dramatic effect on the calculated rate.

Data for United States does not include Puerto Rico.

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