US Mortality Rates for All Types of Cancer

$79 / year

Cancer survival statistics are typically expressed as the proportion of patients alive at some point subsequent to the diagnosis of their cancer. Statistics compare the survival of patients diagnosed with cancer with the survival of people in the general population who are the same age, race, and sex and who have not been diagnosed with cancer.

Complexity

Because survival statistics are based on large groups of people, they cannot be used to predict exactly what will happen to an individual patient. If your health is otherwise perfect, you’re likely to have a greater chance of survival than the statistics suggest. So while cancer survival rates can give a general idea about most people in your situation, they can’t give your individual chances for cure or remission. For that reason, some people ignore cancer survival rate statistics. Remember, no two patients are entirely alike, and treatment and responses to treatment can vary greatly.

Date Created

2015

Last Modified

2015

Version

2015

Update Frequency

Never

Temporal Coverage

2010-2015

Spatial Coverage

United States

Source

John Snow Labs => Big Cities Health Inventory Data

Source License URL

John Snow Labs Standard License

Source License Requirements

N/A

Source Citation

N/A

Keywords

Cancer Mortality Rate, Cancer Survival Rates, Cancer Rates, Cancer Facts, US Cancer Statistics, All Types Of Cancer in the United States

Other Titles

Cancer Statistics, All Types Of Cancer

Name Description Type Constraints
YearYear of Cancer Mortalitydate-
ValueCancer Mortality Valuesnumberlevel : Ratio
CityCity Name from where statistics of cancer has been takenstring-
BCHC_Requested_MethodologyProposed methodology for analysis by Big Cities Health Coalitionstring-
SourceTelephone number of the hospitalstring-
MethodsMethods used to conduct cancer statisticsstring-
NotesAny special Notes or instructions for the specific statisticsstring-
Confidence_Level_LowConfidence intervals are used in research requiring that a measurement be taken on a sample of the population, such as a survey.numberlevel : Nominal
Confidence_Level_HighConfidence intervals are used in research requiring that a measurement be taken on a sample of the population, such as a survey.numberlevel : Nominal
YearValueCityBCHC_Requested_MethodologySourceMethodsNotesConfidence_Level_LowConfidence_Level_High
2014153.7Oakland, CAPer 100,000 population using 2010 US Census figures, age adjusted to the year 2000 standard population.Suggested ICD-10 codes: C00-C97
2014218.3Cleveland, OHPer 100,000 population using 2010 US Census figures, age adjusted to the year 2000 standard population.Suggested ICD-10 codes: C00-C97
2015178.9Kansas City, MOPer 100,000 population using 2010 US Census figures, age adjusted to the year 2000 standard population.Suggested ICD-10 codes: C00-C97
2014184.9Kansas City, MOPer 100,000 population using 2010 US Census figures, age adjusted to the year 2000 standard population.Suggested ICD-10 codes: C00-C97
2015146.3San Diego County, CAPer 100,000 population using 2010 US Census figures, age adjusted to the year 2000 standard population.Suggested ICD-10 codes: C00-C97
2015146.3San Diego County, CAPer 100,000 population using 2010 US Census figures, age adjusted to the year 2000 standard population.Suggested ICD-10 codes: C00-C97
2015146.3San Diego County, CAPer 100,000 population using 2010 US Census figures, age adjusted to the year 2000 standard population.Suggested ICD-10 codes: C00-C97
2015146.3San Diego County, CAPer 100,000 population using 2010 US Census figures, age adjusted to the year 2000 standard population.Suggested ICD-10 codes: C00-C97
2015146.3San Diego County, CAPer 100,000 population using 2010 US Census figures, age adjusted to the year 2000 standard population.Suggested ICD-10 codes: C00-C97
2015146.3San Diego County, CAPer 100,000 population using 2010 US Census figures, age adjusted to the year 2000 standard population.Suggested ICD-10 codes: C00-C97