State Cancer Profiles

Interpretation of Historical Trends Data

Historical Trends (2002-2020)

Incidence, South Dakota, All Cancer Sites, All Races (incl Hisp), All Ages, Both Sexes

Line graph with 19 years and 2 segments
During 2002-2005, the APC¹ in the rate of cancer was falling: -3.7 with a 95% confidence interval from -6.9 to -0.9.
During 2005-2020, the APC¹ in the rate of cancer was stable: 0.1 with a 95% confidence interval from -0.2 to 0.9.
Yearly points:
In 2002, the observed rate was 528.9. The estimated rate was 519.5.
In 2003, the observed rate was 486.4. The estimated rate was 500.2.
In 2004, the observed rate was 480.5. The estimated rate was 481.6.
In 2005, the observed rate was 464.5. The estimated rate was 463.7.
In 2006, the observed rate was 447.2. The estimated rate was 463.9.
In 2007, the observed rate was 475.5. The estimated rate was 464.2.
In 2008, the observed rate was 462.3. The estimated rate was 464.4.
In 2009, the observed rate was 472.7. The estimated rate was 464.7.
In 2010, the observed rate was 458.5. The estimated rate was 464.9.
In 2011, the observed rate was 483.6. The estimated rate was 465.2.
In 2012, the observed rate was 459.5. The estimated rate was 465.4.
In 2013, the observed rate was 473.5. The estimated rate was 465.6.
In 2014, the observed rate was 471.7. The estimated rate was 465.9.
In 2015, the observed rate was 452.3. The estimated rate was 466.1.
In 2016, the observed rate was 469.5. The estimated rate was 466.4.
In 2017, the observed rate was 462.3. The estimated rate was 466.6.
In 2018, the observed rate was 461.6. The estimated rate was 466.8.
In 2019, the observed rate was 469.9. The estimated rate was 467.1.
In 2020, the observed rate was 427.2. The estimated rate was 0.0.

Notes:

Created by statecancerprofiles.cancer.gov on 04/26/2024 8:02 am.
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.