Historical Trends > Interpret
Interpretation of Historical Trends Data
Historical Trends (2002-2021)
Incidence, District of Columbia, All Cancer Sites, All Races (incl Hisp), All Ages, MaleIncidence, District of Columbia, All Cancer Sites, All Races (incl Hisp), All Ages, Male
Line graph with 20 years and 1 segmentsDuring 2002-2021, the APC1 in the rate of cancer was falling: -2.0 with a 95% confidence interval from -2.7 to -1.3.
Yearly points:
In 2002, the observed rate was 657.3. The estimated rate was 644.4.
In 2003, the observed rate was 618.3. The estimated rate was 631.5.
In 2004, the observed rate was 579.1. The estimated rate was 618.9.
In 2005, the observed rate was 571.0. The estimated rate was 606.5.
In 2006, the observed rate was 576.3. The estimated rate was 594.4.
In 2007, the observed rate was 652.5. The estimated rate was 582.5.
In 2008, the observed rate was 581.0. The estimated rate was 570.9.
In 2009, the observed rate was 565.6. The estimated rate was 559.4.
In 2010, the observed rate was 563.0. The estimated rate was 548.3.
In 2011, the observed rate was 600.3. The estimated rate was 537.3.
In 2012, the observed rate was 571.4. The estimated rate was 526.6.
In 2013, the observed rate was 464.3. The estimated rate was 516.0.
In 2014, the observed rate was 491.6. The estimated rate was 505.7.
In 2015, the observed rate was 437.2. The estimated rate was 495.6.
In 2016, the observed rate was 428.5. The estimated rate was 485.7.
In 2017, the observed rate was 487.3. The estimated rate was 476.0.
In 2018, the observed rate was 475.2. The estimated rate was 466.5.
In 2019, the observed rate was 469.4. The estimated rate was 457.2.
In 2020, the observed rate was 411.3. The estimated rate was N/A.
In 2021, the observed rate was 455.9. The estimated rate was 439.1.
Notes:
- Created by statecancerprofiles.cancer.gov on 01/23/2025 6:48 am.
- Regression lines calculated using the Joinpoint Regression Program (Version 5.3.0).
- 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.
The 2020 incidence rate is displayed but not used in the fit of the trend line(s). Impact of COVID on SEER Cancer Incidence 2020 data.
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.