The Impact of Data Suppression on Re-Identification Risk and Data Access in the National Child Abuse and Neglect Data System

In summer 2024, the Children's Bureau revised the rules that govern data suppression in datasets from the National Child Abuse and Neglect Data System (NCANDS). To minimize the risk of re-identification, researchers had previously been unable to identify counties with fewer than 1000 annual maltreatment cases. Under the new data suppression rule, county identifiers will only be suppressed for counties with fewer than 700 cases. In this report, we document the consequences of this shift for research data access and re-identification risks, showing that reducing the data suppression threshold increased the number of identifiable counties from 835 to 1096 (a 31.3% increase) and doubled the number of identifiable rural counties. The percentage of reported children who face a particularly elevated re-identification risk due to having unique demographic characteristics increased from 0.7% to 1.0%.

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Publication Details

Journal
Child Maltreatment
Published
2025-04-21
DOI
https://doi.org/10.1177/10775595251337073
Primary Topic
Migration, Health and Trauma
Type
article
Field-Weighted Citation Impact
0.00
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article

The Impact of Data Suppression on Re-Identification Risk and Data Access in the National Child Abuse and Neglect Data System

Sarah Sernaker, Martin Eiermann
Child Maltreatment
Migration, Health and Trauma
article

The Impact of Data Suppression on Re-Identification Risk and Data Access in the National Child Abuse and Neglect Data System

Sarah Sernaker, Martin Eiermann
article en

Abstract

In summer 2024, the Children's Bureau revised the rules that govern data suppression in datasets from the National Child Abuse and Neglect Data System (NCANDS). To minimize the risk of re-identification, researchers had previously been unable to identify counties with fewer than 1000 annual maltreatment cases. Under the new data suppression rule, county identifiers will only be suppressed for counties with fewer than 700 cases. In this report, we document the consequences of this shift for research data access and re-identification risks, showing that reducing the data suppression threshold increased the number of identifiable counties from 835 to 1096 (a 31.3% increase) and doubled the number of identifiable rural counties. The percentage of reported children who face a particularly elevated re-identification risk due to having unique demographic characteristics increased from 0.7% to 1.0%.

Child MaltreatmentVol. 31(1)
Duke University (US), Cornell University (US)
Peace, Justice and strong institutions
Openalex Percentile: Top 89%
Migration, Health and Trauma
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