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Longitudinal Population Estimates Using Person-Level Administrative Records

Abstract Number:

2759 

Submission Type:

Contributed Abstract 

Contributed Abstract Type:

Paper 

Participants:

J David Brown (1), Suzanne Dorinski (2), Marta Murray-Close (1)

Institutions:

(1) U.S. Census Bureau, N/A, (2) US Census Bureau, N/A

Co-Author(s):

Suzanne Dorinski  
US Census Bureau
Marta Murray-Close  
U.S. Census Bureau

First Author:

J David Brown  
U.S. Census Bureau

Presenting Author:

Marta Murray-Close  
N/A

Abstract Text:

We produce annual population estimates at low levels of geography in 2018-2021 using person-level administrative records (AR) from a large number of sources. Population change is decomposed into births, deaths, internal migration, and entry into and exit from the AR data of people not known to have been born or died during the period. The demographic distributions of each of these groups is shown. The results are compared to the Census Bureau's Population Estimates Program estimates, the American Community Survey, and Internal Revenue Service estimates. We examine the extent to which the entry and exit could be a result of inconsistent person coverage in AR data over time and discuss methods for addressing this.

Keywords:

administrative records|population estimates| | | |

Sponsors:

Government Statistics Section

Tracks:

Administrative Records

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