_dta: 1. coest00intalldata set up by Jean Roth , jroth@nber.org , 28 Oct 2016 2. Source URL: http://www.census.gov/popest/data/intercensal/county/CO-EST00INT-alldata.html 3. Source File: http://www.census.gov/popest/data/intercensal/county/files/CO-EST00INT-ALLDATA-00.csv 4. Source File Layout: http://www.census.gov/popest/data/intercensal/county/files/CO-EST00INT-ALLDATA.pdf sumlev: 1. Geographic Summary Level sumlevstr: 1. Geographic Summary Level state: 1. State FIPS code county: 1. County FIPS code stname: 1. State name ctyname: 1. County name yearref: 1. Year agegrp: 1. Age group (See code below) tot_pop: 1. Total population tot_male: 1. Total male population tot_female: 1. Total female population wa_male: 1. White alone male population wa_female: 1. White alone female population ba_male: 1. Black or African American alone male population ba_female: 1. Black or African American alone female population ia_male: 1. American Indian and Alaska Native alone male population ia_female: 1. American Indian and Alaska Native alone female population aa_male: 1. Asian alone male population aa_female: 1. Asian alone female population na_male: 1. Native Hawaiian and Other Pacific Islander alone male population na_female: 1. Native Hawaiian and Other Pacific Islander alone female population tom_male: 1. Two or More Races male population tom_female: 1. Two or More Races female population nh_male: 1. Not Hispanic male population nh_female: 1. Not Hispanic female population nhwa_male: 1. Not Hispanic, White alone male population nhwa_female: 1. Not Hispanic, White alone female population nhba_male: 1. Not Hispanic, Black or African American alone male population nhba_female: 1. Not Hispanic, Black or African American alone female population nhia_male: 1. Not Hispanic, American Indian and Alaska Native alone male population nhia_female: 1. Not Hispanic, American Indian and Alaska Native alone female population nhaa_male: 1. Not Hispanic, Asian alone male population nhaa_female: 1. Not Hispanic, Asian alone female population nhna_male: 1. Not Hispanic, Native Hawaiian and Other Pacific Islander alone male population nhna_female: 1. Not Hispanic, Native Hawaiian and Other Pacific Islander alone female population nhtom_male: 1. Not Hispanic, Two or More Races male population nhtom_female: 1. not Hispanic, Two or More Races female population h_male: 1. Hispanic male population h_female: 1. Hispanic female population hwa_male: 1. Hispanic, White alone male population hwa_female: 1. Hispanic, White alone female population hba_male: 1. Hispanic, Black or African American alone male population hba_female: 1. Hispanic, Black or African American alone female population hia_male: 1. Hispanic, American Indian and Alaska Native alone male population hia_female: 1. Hispanic, American Indian and Alaska Native alone female population haa_male: 1. Hispanic, Asian alone male population haa_female: 1. Hispanic, Asian alone female population hna_male: 1. Hispanic, Native Hawaiian and Other Pacific Islander alone male population hna_female: 1. Hispanic, Native Hawaiian and Other Pacific Islander alone female population htom_male: 1. Hispanic, Two or More Races male population htom_female: 1. Hispanic, Two or More Races female population year: 1. Year obs: 817,180 vars: 52 28 Oct 2016 16:41 size: 186,317,040 (_dta has notes) ------------------------------------------------------------------------------------------------------------------------------------------------------------------- storage display value variable name type format label variable label ------------------------------------------------------------------------------------------------------------------------------------------------------------------- sumlev byte %42.0g sumlev * Geographic Summary Level sumlevstr str3 %9s * Geographic Summary Level state str2 %9s * State FIPS code county str5 %9s * County FIPS code stname str20 %20s * State name ctyname str33 %33s * County name yearref byte %47.0g yearref * Year agegrp byte %21.0g agegrp * Age group (See code below) tot_pop long %12.0g * Total population tot_male long %12.0g * Total male population tot_female long %12.0g * Total female population wa_male long %12.0g * White alone male population wa_female long %12.0g * White alone female population ba_male long %8.0g * Black or African American alone male population ba_female long %8.0g * Black or African American alone female population ia_male long %8.0g * American Indian and Alaska Native alone male population ia_female long %8.0g * American Indian and Alaska Native alone female population aa_male long %8.0g * Asian alone male population aa_female long %8.0g * Asian alone female population na_male long %8.0g * Native Hawaiian and Other Pacific Islander alone male population na_female long %8.0g * Native Hawaiian and Other Pacific Islander alone female population tom_male long %8.0g * Two or More Races male population tom_female long %8.0g * Two or More Races female population nh_male long %12.0g * Not Hispanic male population nh_female long %12.0g * Not Hispanic female population nhwa_male long %12.0g * Not Hispanic, White alone male population nhwa_female long %12.0g * Not Hispanic, White alone female population nhba_male long %8.0g * Not Hispanic, Black or African American alone male population nhba_female long %8.0g * Not Hispanic, Black or African American alone female population nhia_male int %8.0g * Not Hispanic, American Indian and Alaska Native alone male population nhia_female int %8.0g * Not Hispanic, American Indian and Alaska Native alone female population nhaa_male long %8.0g * Not Hispanic, Asian alone male population nhaa_female long %8.0g * Not Hispanic, Asian alone female population nhna_male long %8.0g * Not Hispanic, Native Hawaiian and Other Pacific Islander alone male population nhna_female long %8.0g * Not Hispanic, Native Hawaiian and Other Pacific Islander alone female population nhtom_male long %8.0g * Not Hispanic, Two or More Races male population nhtom_female long %8.0g * not Hispanic, Two or More Races female population h_male long %8.0g * Hispanic male population h_female long %8.0g * Hispanic female population hwa_male long %8.0g * Hispanic, White alone male population hwa_female long %8.0g * Hispanic, White alone female population hba_male long %8.0g * Hispanic, Black or African American alone male population hba_female long %8.0g * Hispanic, Black or African American alone female population hia_male long %8.0g * Hispanic, American Indian and Alaska Native alone male population hia_female long %8.0g * Hispanic, American Indian and Alaska Native alone female population haa_male int %8.0g * Hispanic, Asian alone male population haa_female int %8.0g * Hispanic, Asian alone female population hna_male int %8.0g * Hispanic, Native Hawaiian and Other Pacific Islander alone male population hna_female int %8.0g * Hispanic, Native Hawaiian and Other Pacific Islander alone female population htom_male long %8.0g * Hispanic, Two or More Races male population htom_female long %8.0g * Hispanic, Two or More Races female population year int %9.0g * Year * indicated variables have notes ------------------------------------------------------------------------------------------------------------------------------------------------------------------- Sorted by: year yearref state county agegrp sumlev: 50 050 = County and/or Statistical Equivalent yearref: 1 1 = 4/1/2000 resident population estimates base 2 2 = 7/1/2000 resident population estimate 3 3 = 7/1/2001 resident population estimate 4 4 = 7/1/2002 resident population estimate 5 5 = 7/1/2003 resident population estimate 6 6 = 7/1/2004 resident population estimate 7 7 = 7/1/2005 resident population estimate 8 8 = 7/1/2006 resident population estimate 9 9 = 7/1/2007 resident population estimate 10 10 = 7/1/2008 resident population estimate 11 11 = 7/1/2009 resident population estimate 12 12 = 4/1/2010 resident 2010 Census population 13 13 = 7/1/2010 resident population estimate agegrp: 0 Age 0 1 Age 1 to 4 years 2 Age 5 to 9 years 3 Age 10 to 14 years 4 Age 15 to 19 years 5 Age 20 to 24 years 6 Age 25 to 29 years 7 Age 30 to 34 years 8 Age 35 to 39 years 9 Age 40 to 44 years 10 Age 45 to 49 years 11 Age 50 to 54 years 12 Age 55 to 59 years 13 Age 60 to 64 years 14 Age 65 to 69 years 15 Age 70 to 74 years 16 Age 75 to 79 years 17 Age 80 to 84 years 18 Age 85 years or older 99 Total