2010 Census Production Settings Demographic and Housing Characteristics (DHC) Demonstration Noisy Measurement File

Publications

• 2010 Census Summary File 1 Technical Documentation by U.S. Census Bureau
  
• Computing Confidence Intervals Using the 2010 Census Production Settings Redistricting Data (P.L. 94-171) Demonstration Noisy Measurement File (2023-04-03) by Cumings-Menon, R., Hawes, M., and Spence, M. (2023) "(Jupyter notebook explaining how to calculate estimates and confidence intervals from the noisy measurement files)"
  
• DAS 2020 Redistricting Production Code Release by U.S. Census Bureau (Public GitHub repository for the 2020 Census DAS, vintaged as of the commit used to produce the official production run of the Redistricting product. The zCDP framework NMFs were generated in a for-internal-use-only pickled (https://docs.python.org/3/library/pickle.html; https://spark.apache.org/docs/latest/api/python/reference/api/pyspark.SparkContext.pickleFile.html) form as a byproduct of the use of this code. A stand-alone script was developed and used to convert these internal-use NMFs into the Parquet format used in this product (that script is not yet publicly available.)
  
• Geographic Spines in the 2020 Census Disclosure Avoidance System by Abowd, J., Ashmead, R., Cumings-Menon, R., Garfinkel, S., Heineck, M., Heiss, C., Johns, R., Kifer, D., Leclerc, P., Machanavajjhala, A., Moran, B., Sexton, W., Spence, M., Zhuravlev, P.
  
• The 2020 Census Disclosure Avoidance System Topdown Algorithm by Abowd, J., Ashmead, R., Cumings-Menon, R., Garfinkel, S., Heineck, M., Heiss, C., Johns, R., Kifer, D., Leclerc, P., Machanavajjhala, A., Moran, B., Sexton, W., Spence, M., Zhuravlev, P.
  

2010 Census Production Settings Redistricting Data (P.L. 94-171) Demonstration Noisy Measurement File

Publications

• Geographic Spines in the 2020 Census Disclosure Avoidance System by Abowd, J., Ashmead, R., Cumings-Menon, R., Garfinkel, S., Heineck, M., Heiss, C., Johns, R., Kifer, D., Leclerc, P., Machanavajjhala, A., Moran, B., Sexton, W., Spence, M., Zhuravlev, P.
  
• The 2020 Census Disclosure Avoidance System Topdown Algorithm by Abowd, J., Ashmead, R., Cumings-Menon, R., Garfinkel, S., Heineck, M., Heiss, C., Johns, R., Kifer, D., Leclerc, P., Machanavajjhala, A., Moran, B., Sexton, W., Spence, M., Zhuravlev, P.
  

Estimating Confidence Intervals for 2020 Census Statistics Using Approximate Monte Carlo Simulation (2010 Census Proof of Concept)

Tools & Applications

• Estimating Confidence Intervals Using Approximate Monte Carlo Simulation Iterations (Jupyter Notebook) by Ashmead, R., Hawes, M. B., Pritts, M., Zhuravlev, P., Keller, S. A.
  

Publications

• An Approximate Monte Carlo Simulation Method for Estimating Uncertainty and Constructing Confidence Intervals for 2020 Census Statistics by Ashmead, R., Hawes, M. B., Pritts, M., Zhuravlev, P., Keller, S. A.
  

Estimating Confidence Intervals for 2020 Census Statistics Using Approximate Monte Carlo Simulation (2020 Census Production Run)

Tools & Applications

• Estimating Confidence Intervals Using Approximate Monte Carlo Simulation Iterations (Jupyter Notebook) by Ashmead, R., Hawes, M. B., Pritts, M., Zhuravlev, P., Keller, S. A.
  

Publications

• An Approximate Monte Carlo Simulation Method for Estimating Uncertainty and Constructing Confidence Intervals for 2020 Census Statistics by Ashmead, R., Hawes, M. B., Pritts, M., Zhuravlev, P., Keller, S. A.