Frequencies for snpsanctioned2014 dataset : by Jean Roth , jroth@nber.org , 14 Apr 2016 Frequencies for state variable in snpsanctioned2014 dataset : State | Freq. Percent Cum. ------------+----------------------------------- California | 1 100.00 100.00 ------------+----------------------------------- Total | 1 100.00 Frequencies for county variable in snpsanctioned2014 dataset : County | Freq. Percent Cum. ------------+----------------------------------- Orange | 1 100.00 100.00 ------------+----------------------------------- Total | 1 100.00 Frequencies for organizationname variable in snpsanctioned2014 dataset : Organizatio | n Name | Freq. Percent Cum. ------------+----------------------------------- OneCare | 1 100.00 100.00 ------------+----------------------------------- Total | 1 100.00 Frequencies for planname variable in snpsanctioned2014 dataset : Plan Name | Freq. Percent Cum. ------------------+----------------------------------- OneCare (HMO SNP) | 1 100.00 100.00 ------------------+----------------------------------- Total | 1 100.00 Frequencies for typeofmedicarehealthplan variable in snpsanctioned2014 dataset : Type of | Medicare | Health Plan | Freq. Percent Cum. ------------+----------------------------------- Local HMO | 1 100.00 100.00 ------------+----------------------------------- Total | 1 100.00 Frequencies for specialneedsplantype variable in snpsanctioned2014 dataset : Special Needs | Plan Type | Freq. Percent Cum. --------------+----------------------------------- Dual-Eligible | 1 100.00 100.00 --------------+----------------------------------- Total | 1 100.00 Frequencies for monthlyconsolidatedpremium variable in snpsanctioned2014 dataset : Monthly | Consolidate | d Premium* | (Includes | Part C + D) | Freq. Percent Cum. ------------+----------------------------------- 26.1 | 1 100.00 100.00 ------------+----------------------------------- Total | 1 100.00 Frequencies for annualdrugdeductible variable in snpsanctioned2014 dataset : Annual Drug | Deductible | Freq. Percent Cum. ------------+----------------------------------- 0 | 1 100.00 100.00 ------------+----------------------------------- Total | 1 100.00 Frequencies for drugbenefittype variable in snpsanctioned2014 dataset : Drug | Benefit | Type | Freq. Percent Cum. ------------+----------------------------------- Enhanced | 1 100.00 100.00 ------------+----------------------------------- Total | 1 100.00 Frequencies for typeofadditionalcoverageoff variable in snpsanctioned2014 dataset : Type of | Additional | Coverage | Offered in the | Gap | Freq. Percent Cum. ----------------+----------------------------------- No Gap Coverage | 1 100.00 100.00 ----------------+----------------------------------- Total | 1 100.00 Frequencies for drugbenefittypedetail variable in snpsanctioned2014 dataset : Drug | Benefit | Type Detail | Freq. Percent Cum. ------------+----------------------------------- EA | 1 100.00 100.00 ------------+----------------------------------- Total | 1 100.00 Frequencies for contractid variable in snpsanctioned2014 dataset : Contract ID | Freq. Percent Cum. ------------+----------------------------------- H5433 | 1 100.00 100.00 ------------+----------------------------------- Total | 1 100.00 Frequencies for planid variable in snpsanctioned2014 dataset : Plan ID | Freq. Percent Cum. ------------+----------------------------------- 001 | 1 100.00 100.00 ------------+----------------------------------- Total | 1 100.00 Frequencies for segmentid variable in snpsanctioned2014 dataset : Segment ID | Freq. Percent Cum. ------------+----------------------------------- 0 | 1 100.00 100.00 ------------+----------------------------------- Total | 1 100.00 Frequencies for overallstarrating variable in snpsanctioned2014 dataset : Overall | Star Rating | Freq. Percent Cum. ------------+----------------------------------- 3.5 | 1 100.00 100.00 ------------+----------------------------------- Total | 1 100.00 Frequencies for overallstarratingstr variable in snpsanctioned2014 dataset : Overall | Star Rating | Freq. Percent Cum. ------------+----------------------------------- 3.5 stars | 1 100.00 100.00 ------------+----------------------------------- Total | 1 100.00 by Jean Roth , jroth@nber.org , 14 Apr 2016