Statistical Forecasting has been providing educational consulting services for over 25 years. Since 1998, we have served a wide range of clientele, including K-12 school districts, municipalities, architectural firms, law firms, and universities.
Services include:

Dr. Richard S. Grip, Executive Director of Statistical Forecasting, possesses a Doctorate in Educational Statistics and Measurement from Rutgers University in New Jersey. His dissertation, Prediction of Public School Enrollments Using the Modified Regression Technique, demonstrated an alternative method to the Cohort Survival Ratio Method
Dr. Richard S. Grip, Executive Director of Statistical Forecasting, possesses a Doctorate in Educational Statistics and Measurement from Rutgers University in New Jersey. His dissertation, Prediction of Public School Enrollments Using the Modified Regression Technique, demonstrated an alternative method to the Cohort Survival Ratio Method in predicting school enrollments.
As a recognized leader and expert in the field, Dr. Grip has testified as an expert witness in school demography in several court cases on issues related to school districts terminating their sending-receiving relationship. Dr. Grip has written numerous papers on topics in school demography and has presented his findings at regional and national conferences. Dr. Grip's latest research paper consisted of applying prediction bands or confidence intervals when projecting enrollments.

Meghan Grip is a Senior Demographer/Data Analyst at Statistical
Forecasting. She graduated with a Bachelor’s of Science in Mathematics from University of Rochester in Rochester, NY. She was also an undergraduate participant at the Institute for Computational and Experimental Research in Mathematics (ICERM) at Brown University, where she
Meghan Grip is a Senior Demographer/Data Analyst at Statistical
Forecasting. She graduated with a Bachelor’s of Science in Mathematics from University of Rochester in Rochester, NY. She was also an undergraduate participant at the Institute for Computational and Experimental Research in Mathematics (ICERM) at Brown University, where she cowrote Rational Preperiodic Points of the Form z^d + c and presented on findings at AMS eastern sectionals. In addition to research at ICERM, she cowrote a research paper with Dr. Grip on applying prediction bands or confidence intervals when projecting enrollments.
Prior to Statistical Forecasting, Meghan worked with Lapkoff and Gobalet Demographic Research analyzing private school demographics and enrollment forecasts for the San Francisco Unified School District. Most recently, Meghan was a Senior Data Analyst at Hilton Worldwide where she specialized in advanced analysis and measurement, standing up measurement frameworks utilizing Synthetic Control Method and Interrupted Time Series analysis to measure incremental revenue and causal impact across the business.

Statistical Forecasting regularly collaborates with field experts such as:
as well as architectural firms, law firms, and other consultants as necessary.
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