State Cancer Profiles

Interpretation of Historical Trends Data

Historical Trends (2002-2020)

Incidence, South Carolina, All Cancer Sites, All Races (incl Hisp), Ages <50, Both Sexes

Line graph with 19 years and 2 segments
During 2002-2014, the APC¹ in the rate of cancer was rising: 0.2 with a 95% confidence interval from 0.0 to 0.9.
During 2014-2020, the APC¹ in the rate of cancer was falling: -0.9 with a 95% confidence interval from -2.8 to -0.2.
Yearly points:
In 2002, the observed rate was 103.3. The estimated rate was 102.4.
In 2003, the observed rate was 101.7. The estimated rate was 102.6.
In 2004, the observed rate was 102.0. The estimated rate was 102.9.
In 2005, the observed rate was 102.4. The estimated rate was 103.1.
In 2006, the observed rate was 104.3. The estimated rate was 103.3.
In 2007, the observed rate was 103.4. The estimated rate was 103.6.
In 2008, the observed rate was 103.1. The estimated rate was 103.8.
In 2009, the observed rate was 106.5. The estimated rate was 104.0.
In 2010, the observed rate was 106.5. The estimated rate was 104.3.
In 2011, the observed rate was 103.8. The estimated rate was 104.5.
In 2012, the observed rate was 101.6. The estimated rate was 104.7.
In 2013, the observed rate was 103.5. The estimated rate was 105.0.
In 2014, the observed rate was 107.3. The estimated rate was 105.2.
In 2015, the observed rate was 104.2. The estimated rate was 104.2.
In 2016, the observed rate was 102.7. The estimated rate was 103.2.
In 2017, the observed rate was 101.8. The estimated rate was 102.2.
In 2018, the observed rate was 103.0. The estimated rate was 101.3.
In 2019, the observed rate was 99.5. The estimated rate was 100.3.
In 2020, the observed rate was 93.5. The estimated rate was 0.0.

Notes:

Created by statecancerprofiles.cancer.gov on 05/14/2024 12:22 pm.
Regression lines calculated using the Joinpoint Regression Program (Version 4.8.0.0).
¹ The APC is the Annual Percent Change over the time interval. Rates used in the calculation of the APC are age-adjusted to the 2000 US standard population (19 age groups: <1, 1-4, 5-9, ... , 80-84, 85+).

Explanation of the Calculation of the Trend:
If the APC is less than -1.5, the trend is falling.
If the APC is between -1.5 and -0.5, the trend is slightly falling.
If the APC is between -0.5 and 0.5, the trend is statistically stable.
If the APC is between 0.5 and 1.5, the trend is slightly rising.
If the APC is greater than 1.5, the trend is rising.
Source: Incidence data provided by the SEER Program and the National Program of Cancer Registries SEER*Stat Database United States Department of Health and Human Services, Centers for Disease Control and Prevention. Rates calculated by the National Cancer Institute using SEER*Stat. Rates are age-adjusted to the 2000 US standard population (19 age groups: <1, 1-4, 5-9, ... , 80-84, 85+). Rates are for invasive cancer only (except for bladder cancer which is invasive and in situ) or unless otherwise specified. Population counts for denominators are based on Census populations as modified by NCI. The US populations included with the data release have been adjusted for the population shifts due to hurricanes Katrina and Rita for 62 counties and parishes in Alabama, Mississippi, Louisiana, and Texas. The US Population Data File is used with SEER data. Rates and trends in this graph are computed using the same standard for malignancy. For more information see malignant.html

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 (deaths per 100,000 population per year) are age-adjusted to the 2000 US standard population (19 age groups: (<1, 1-4, 5-9, ... , 80-84, 85+). Population counts for denominators are based on Census populations as modified by NCI. The US populations included with the data release have been adjusted for the population shifts due to hurricanes Katrina and Rita for 62 counties and parishes in Alabama, Mississippi, Louisiana, and Texas. US Population Data File is used with mortality data.

Due to data availability issues, the time period used in the calculation of the joinpoint regression model may differ for selected racial groups or counties.