MLchartDataset catalogue

Integrated Coverage Measurement

Term · Economic statistics · MLC-T-ECS-000963

The Integrated Coverage Measurement program was designed to permit statistically valid estimates of the proportion of the population missed using traditional census procedures and to identify persons incorrectly included in the initial phase of the Census 2000 Dress Rehearsal. The ICM program was designed to address irrefutable evidence produced from studies of previous censuses indicating that traditional census methods result in difficulties in counting people in certain demographic groups, specifically minorities and renters. ICM estimates were obtained using a three-step procedure: Dual System Estimation, Iterative Proportional Fitting, and Synthetic Estimation.

Table 1. Record
IdentifierMLC-T-ECS-000963
FieldEconomic statistics
AbbreviationICM
ReferencesU.S. Census Bureau Glossary
See alsoWithout Correction for ICM
Record as JSON
{
  "id": "MLC-T-ECS-000963",
  "term": "Integrated Coverage Measurement",
  "field": "Economic statistics",
  "definition": "The Integrated Coverage Measurement program was designed to permit statistically valid estimates of the proportion of the population missed using traditional census procedures and to identify persons incorrectly included in the initial phase of the Census 2000 Dress Rehearsal. The ICM program was designed to address irrefutable evidence produced from studies of previous censuses indicating that traditional census methods result in difficulties in counting people in certain demographic groups, specifically minorities and renters. ICM estimates were obtained using a three-step procedure: Dual System Estimation, Iterative Proportional Fitting, and Synthetic Estimation.",
  "abbreviation": "ICM",
  "see_also": [
    "Without Correction for ICM"
  ],
  "references": [
    "U.S. Census Bureau Glossary"
  ],
  "url": "https://mlchart.com/terminology/economic-statistics/integrated-coverage-measurement/"
}

Record 963 of 2,177 in Economic statistics terminology (MLC-0116). Request the full dataset.