State Cancer Profiles

Interpretation of Historical Trends Data

Historical Trends (2002-2020)

Incidence, South Carolina, All Cancer Sites, API Non-Hispanic, All Ages, Both Sexes

Line graph with 19 years and 1 segments
During 2002-2020, the APC¹ in the rate of cancer was stable: -0.8 with a 95% confidence interval from -3.1 to 2.2.
Yearly points:
In 2002, the observed rate was 296.1. The estimated rate was 286.1.
In 2003, the observed rate was 215.8. The estimated rate was 283.7.
In 2004, the observed rate was 254.8. The estimated rate was 281.4.
In 2005, the observed rate was 278.3. The estimated rate was 279.0.
In 2006, the observed rate was 327.1. The estimated rate was 276.7.
In 2007, the observed rate was 211.9. The estimated rate was 274.5.
In 2008, the observed rate was 333.4. The estimated rate was 272.2.
In 2009, the observed rate was 312.8. The estimated rate was 269.9.
In 2010, the observed rate was 314.2. The estimated rate was 267.7.
In 2011, the observed rate was 256.0. The estimated rate was 265.5.
In 2012, the observed rate was 256.2. The estimated rate was 263.3.
In 2013, the observed rate was 233.3. The estimated rate was 261.1.
In 2014, the observed rate was 256.2. The estimated rate was 259.0.
In 2015, the observed rate was 291.9. The estimated rate was 256.9.
In 2016, the observed rate was 202.0. The estimated rate was 254.7.
In 2017, the observed rate was 247.2. The estimated rate was 252.6.
In 2018, the observed rate was 218.6. The estimated rate was 250.5.
In 2019, the observed rate was 284.5. The estimated rate was 248.5.
In 2020, the observed rate was 204.4. The estimated rate was 0.0.

Notes:

Created by statecancerprofiles.cancer.gov on 12/05/2023 2:17 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.
Statistics for minorities may be affected by inconsistent race identification between the cancer case reports (sources for numerator of rate) and data from the Census Bureau (source for denominator of rate); and from undercounts of some population groups in the census.

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.