readme.morthza Data Group Name: morthza Description: Annual Age-Specific Mortality Hazard of US Population, from Ages 0 -100 Data Source(s): Source: U.S. Life Tables 2001 (annually) National Vital Statistics Reports vol 52, number 14. United States Life T from the Centers for Disease Control and Prevention / National Center for Health Statistics. U.S. Department of Health and Human Services. http://www.cdc.gov/nchs/products/pubs/pubd/lftbls/life/1966.htm Table 1. Life Table for the total population: United States, 2001 Table 2. Life table for males: United States, 2001 Table 3. Life table for females: United States, 2001 Table 4. Life table for the white population: United States, 2001 Table 5. Life table for white males: United States, 2001 Table 6. Life table for white females: United States, 2001 Table 7. Life table for the black population: United States, 2001 Table 8. Life table for black males: United States, 2001 Table 9. Life table for black females: United States, 2001 Comments: The annual life tables differ in two main respects from the decennial life tables. The annual tables are based on deaths in a single year and, except for census years, on postcensal population estimates rather than on the data from a decennial census, and the annual tables are calculated by abbreviated methods. Also there are 3 more categories in the decennial life tabls : other than white,other than white male and other than white female. Usage: To look up values of these data for a set of key variable values: (in SAS) : a) In your SAS program, before your data step add: %include 'morthza.fmt' ; b) set SUPERKEY to the combination of key variable values you want to look up. See "SUPERKEY=" under key variable description below. c) use a formatted put function of SUPERKEY with the data series format (See examples under "Usage" in detailed description of each data series). Key vars: Varname Typ Description YEAROLD Num YEAR OLD Min=0 Max=100 SUPERKEY =YEAROLD; Data series [summary]: Varname Fmtname Typ Description ------- ------- --- ----------- MHUSA MHUSA. Num Mortality Hazard-Total US Pop MHUSMA MHUSMA. Num Mortality Hazar-US Males MHUSFA MHUSFA. Num Mortality Hazar-US Females MHUSWA MHUSWA. Num Mortality Hazar-US White MHUSBA MHUSBA. Num Mortality Hazar-US Black MHUSWFA MHUSWFA. Num Mortality Hazar-US White Females MHUSWMA MHUSWMA. Num Mortality Hazar-US White Males MHUSBFA MHUSBFA. Num Mortality Hazar-US Black Females MHUSBMA MHUSBMA. Num Mortality Hazar-US Black Males ---------------------------- Data series MHUSA ---------------------------- Varname Fmtname Typ Description MHUSA MHUSA. Num Mortality Hazard-Total US Pop Units= Min=0.000143 Max=1 Mean=0.04538615 N=101 N_Missing=0 How missings handled: Comments: Usage: MYVAR=put(SUPERKEY,MHUSA.); ---------------------------- Data series MHUSMA ---------------------------- Varname Fmtname Typ Description MHUSMA MHUSMA. Num Mortality Hazar-US Males Units= Min=0.000149 Max=1 Mean=0.05182619 N=101 N_Missing=0 How missings handled: Comments: Usage: MYVAR=put(SUPERKEY,MHUSMA.); ---------------------------- Data series MHUSFA ---------------------------- Varname Fmtname Typ Description MHUSFA MHUSFA. Num Mortality Hazar-US Females Units= Min=0.000118 Max=1 Mean=0.04227173 N=101 N_Missing=0 How missings handled: Comments: Usage: MYVAR=put(SUPERKEY,MHUSFA.); ---------------------------- Data series MHUSWA ---------------------------- Varname Fmtname Typ Description MHUSWA MHUSWA. Num Mortality Hazar-US White Units= Min=0.000132 Max=1 Mean=0.04614005 N=101 N_Missing=0 How missings handled: Comments: Usage: MYVAR=put(SUPERKEY,MHUSWA.); ---------------------------- Data series MHUSBA ---------------------------- Varname Fmtname Typ Description MHUSBA MHUSBA. Num Mortality Hazar-US Black Units= Min=0.000164 Max=1 Mean=0.04688698 N=101 N_Missing=0 How missings handled: Comments: Usage: MYVAR=put(SUPERKEY,MHUSBA.); ---------------------------- Data series MHUSWFA ---------------------------- Varname Fmtname Typ Description MHUSWFA MHUSWFA. Num Mortality Hazar-US White Females Units= Min=0.000109 Max=1 Mean=0.04311113 N=101 N_Missing=0 How missings handled: Comments: Usage: MYVAR=put(SUPERKEY,MHUSWFA.); ---------------------------- Data series MHUSWMA ---------------------------- Varname Fmtname Typ Description MHUSWMA MHUSWMA. Num Mortality Hazar-US White Males Units= Min=0.000143 Max=1 Mean=0.05254028 N=101 N_Missing=0 How missings handled: Comments: Usage: MYVAR=put(SUPERKEY,MHUSWMA.); ---------------------------- Data series MHUSBFA ---------------------------- Varname Fmtname Typ Description MHUSBFA MHUSBFA. Num Mortality Hazar-US Black Females Units= Min=0.000146 Max=1 Mean=0.04336065 N=101 N_Missing=0 How missings handled: Comments: Usage: MYVAR=put(SUPERKEY,MHUSBFA.); ---------------------------- Data series MHUSBMA ---------------------------- Varname Fmtname Typ Description MHUSBMA MHUSBMA. Num Mortality Hazar-US Black Males Units= Min=0.000157 Max=1 Mean=0.05442893 N=101 N_Missing=0 How missings handled: Comments: Usage: myvar=put(superkey,MHUSBMA.); ---------------------------------------------------------------------------- The CONTENTS Procedure Data Set Name: SCRLIB.MORTHZA04 Observations: 101 Member Type: DATA Variables: 10 Engine: V8 Indexes: 0 Created: 14:48 Thursday, May 20, 2004 Observation Length: 80 Last Modified: 14:48 Thursday, May 20, 2004 Deleted Observations: 0 Protection: Compressed: NO Data Set Type: Sorted: NO Label: -----Alphabetic List of Variables and Attributes----- # Variable Type Len Pos Label ------------------------------------------------------------------------ 1 MHUSA Num 8 0 Mortality Hazard-Total US Pop 6 MHUSBA Num 8 32 Mortality Hazar-US Black 9 MHUSBFA Num 8 56 Mortality Hazar-US Black Females 10 MHUSBMA Num 8 64 Mortality Hazar-US Black Males 3 MHUSFA Num 8 8 Mortality Hazar-US Females 4 MHUSMA Num 8 16 Mortality Hazar-US Males 5 MHUSWA Num 8 24 Mortality Hazar-US White 7 MHUSWFA Num 8 40 Mortality Hazar-US White Females 8 MHUSWMA Num 8 48 Mortality Hazar-US White Males 2 YEAROLD Num 4 72 YEAR OLD