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Death Rates Table

Data Options

Death Rate Report for New Jersey by County

All Cancer Sites, 2018-2022

All Races (includes Hispanic), Female, All Ages

Sorted by Name

County
 sort alphabetically by name ascending
2023 Rural-Urban Continuum Codes Φ
 sort by rural urban descending
Met Healthy People Objective of 122.7?
Age-Adjusted Death Rate
deaths per 100,000
(95% Confidence Interval)
 sort by rate descending
CI*Rank ⋔
(95% Confidence Interval)
 sort by CI rank descending
Average Annual Count
 sort by count descending
Recent Trend
Recent 5-Year Trend in Death Rates
(95% Confidence Interval)
 sort by trend descending
New Jersey N/A Yes 118.2 (117.1, 119.5) N/A 7,883 falling falling trend -2.1 (-2.2, -2.0)
United States N/A No 126.4 (126.2, 126.6) N/A 285,526 falling falling trend -1.3 (-1.4, -1.1)
Warren County Urban No 139.7 (128.5, 151.7) 4 (1, 10) 122 falling falling trend -1.0 (-1.4, -0.6)
Union County Urban Yes 108.9 (104.1, 113.8) 17 (13, 21) 409 falling falling trend -2.0 (-4.0, -1.8)
Sussex County Urban No 134.5 (124.4, 145.2) 7 (2, 11) 141 falling falling trend -1.5 (-1.8, -1.2)
Somerset County Urban Yes 102.7 (97.0, 108.6) 20 (15, 21) 262 falling falling trend -1.8 (-2.2, -1.4)
Salem County Urban No 145.7 (130.8, 162.0) 2 (1, 10) 75 falling falling trend -1.1 (-1.7, -0.6)
Passaic County Urban Yes 110.1 (105.1, 115.3) 15 (12, 20) 380 falling falling trend -2.4 (-2.9, -2.1)
Ocean County Urban No 129.9 (125.5, 134.4) 9 (5, 10) 766 falling falling trend -2.0 (-3.9, -1.5)
Morris County Urban Yes 107.7 (103.0, 112.5) 18 (13, 21) 424 falling falling trend -2.5 (-3.8, -2.1)
Monmouth County Urban Yes 121.7 (117.3, 126.2) 11 (9, 13) 615 falling falling trend -2.5 (-3.0, -2.3)
Middlesex County Urban Yes 111.7 (107.9, 115.7) 13 (12, 19) 646 falling falling trend -1.9 (-2.0, -1.7)
Mercer County Urban Yes 118.0 (112.1, 124.2) 12 (10, 15) 310 falling falling trend -1.9 (-2.6, -1.6)
Hunterdon County Urban Yes 109.7 (100.6, 119.6) 16 (11, 21) 114 falling falling trend -1.7 (-2.0, -1.2)
Hudson County Urban Yes 102.4 (98.0, 107.1) 21 (16, 21) 404 falling falling trend -2.4 (-4.8, -2.2)
Gloucester County Urban No 143.8 (136.4, 151.4) 3 (1, 7) 301 falling falling trend -2.0 (-3.0, -1.5)
Essex County Urban Yes 110.7 (106.7, 114.9) 14 (12, 19) 599 falling falling trend -2.4 (-2.7, -2.2)
Cumberland County Urban No 152.0 (141.2, 163.5) 1 (1, 5) 153 falling falling trend -0.8 (-1.2, -0.4)
Cape May County Urban No 134.3 (123.7, 145.9) 8 (2, 11) 135 falling falling trend -1.1 (-1.5, -0.8)
Camden County Urban No 135.4 (130.0, 141.0) 6 (3, 10) 496 falling falling trend -1.9 (-2.8, -1.6)
Burlington County Urban No 127.2 (121.8, 132.7) 10 (6, 12) 450 falling falling trend -1.7 (-3.6, -1.4)
Bergen County Urban Yes 107.4 (104.0, 110.9) 19 (13, 21) 793 falling falling trend -2.3 (-4.4, -2.0)
Atlantic County Urban No 136.4 (129.3, 143.9) 5 (2, 10) 289 falling falling trend -2.2 (-5.1, -1.6)
Notes:
Created by statecancerprofiles.cancer.gov on 11/11/2024 11:07 pm.

State Cancer Registries may provide more current or more local data.
Trend
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.

† 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 2030 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.
‡ The Average Annual Percent Change (AAPC) is based on the APCs calculated by Joinpoint. Due to data availability issues, the time period used in the calculation of the joinpoint regression model may differ for selected counties.

⋔ Results presented with the CI*Rank statistics help show the usefulness of ranks. For example, ranks for relatively rare diseases or less populated areas may be essentially meaningless because of their large variability, but ranks for more common diseases in densely populated regions can be very useful. More information about methodology can be found on the CI*Rank website.


Φ Rural-Urban Continuum Codes provided by the USDA.


Please note that the data comes from different sources. Due to different years of data availability, most of the trends are AAPCs based on APCs but some are APCs calculated in SEER*Stat. Please refer to the source for each graph for additional information.

Data for United States does not include Puerto Rico.

When displaying county information, the CI*Rank for the state is not shown because it's not comparable. To see the state CI*Rank please view the statistics at the US By State level.

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