I. INTRODUCTION  
II. DATA AND METHODS  
A. Cross-sectional survey data  
B. Analyzing rates of contraceptive usage and unmet need  
C. Model for sub-national estimation of family planning indicators  
D. Fitting the model to data  
E. Model selection procedure to evaluate  
III. RESULTS  
A. A Bayesian hierarchical model enables state-level estimates of primary FP indicators  
B. MCPR and unmet need varies by age, parity, and state  
C. Differences across survey instruments in Nigeria  
D. Kaduna and Lagos: a case study in conflicting trends  
E. Estimating mCPR changes from 2012 to 2017  
IV. DISCUSSION