Published March 10, 2023
| Version v1
Dataset
Restricted
Block-group level predicted mode share for NYS
Description
This is a dataset of block-group level predicted mode share for New York State. The prediction is based on a calibrated GLAM logit model with Replica's synthetic population dataset. The in-sample prediction accuracy is quite competitive, with an overall accuracy of 90.28% in New York State and 88.63% in New York City.