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About this objective
Data
Data Sources: National Vital Statistics System - Mortality (NVSS-M), CDC/NCHS; Population Estimates, Census
National baseline: 13.1 colorectal cancer deaths per 100,000 population occurred in 2018
National target: 7.7 per 100,000
Methodology
Methodology notes
Death due to malignant neoplasm of the colon and rectum (ICD-10 codes C18-C20 and C26.0). Death rates are calculated based on the resident population of the United States, or specific State of interest, for the data year involved. For census years (e.g. 2020), population counts enumerated as of April 1 are used. For all other years, population estimates as of July 1 are used. Postcensal population estimates are used in rate calculations for years after a census year and match the data year vintage (e.g. July 1, 2021 resident population estimates from Vintage 2021 are used as the denominator for 2021 rates). Intercensal population estimates are used in rate calculations for the years between censuses (e.g. 2011–2019).
Age-adjustment notes
This indicator uses Age-Adjustment Groups:
- Total: <1, 1-4, 5-14, 15-24, 25-34, 35-44, 45-54, 55-64, 65-74, 75-84, 85+
- Sex: <1, 1-4, 5-14, 15-24, 25-34, 35-44, 45-54, 55-64, 65-74, 75-84, 85+
- Race/Ethnicity: <1, 1-4, 5-14, 15-24, 25-34, 35-44, 45-54, 55-64, 65-74, 75-84, 85+
- Geographic Location: <5, 5-14, 15-24, 25-34, 35-44, 45-54, 55-64, 65-74, 75-84, 85+
- Marital Status: 25-34, 35-44, 45-54, 55-64, 65-74, 75+
- Educational Attainment: 25-34, 35-44, 45-54, 55-64
History
In 2026, to better align the definition used to track colorectal cancer deaths with the one used to track colorectal cancer screening, the ICD-10 code C21 was removed from the definition used to calculate colorectal cancer death rates. Hence, the baseline was updated from 13.4 per 100,000 population in 2018 to 13.1 per 100,000 in 2018 and the target was changed from 8.9 to 7.7 per 100,000, without changing the target setting method.
Footnotes
1. Because Healthy People 2030 objectives have a desired direction (e.g., increase or decrease), the confidence level of a one-sided prediction interval can be used as an indication of how likely a target will be to achieve based on the historical data and fitted trend.