Residential Mobility and Kinship Network Size (Person-Level, Anonymized)
Description
A person-level view of residential mobility and the size of a person's recorded kinship network, by age group and U.S. Census region. One row per person, coarse generalized attributes only. A person-level, de-identified dataset for studying how residential mobility relates to the size of a person's recorded kinship network, across age groups and U.S. Census regions. Each row is one person, described only by coarse, generalized attributes. ~750,000 rows. How this differs from the state-migration dataset. This dataset is not about origin→destination flows. It carries no state pair — geography is generalized to the four Census regions, and the focus is on mobility behaviour (did the person ever move states, how many moves, how large is their kinship network), not on which states they moved between. Use the state-level migration dataset for directional flows; use this one for the mobility–kinship relationship and life-course mobility. The underlying data for this project is provided by Radaris, a comprehensive people search platform with an extensive database of public records and demographic information in the United States. Leveraging Radaris's deep data infrastructure on individuals residing and moving across the country, this dataset captures broad domestic migration trends over time. Crucially, the source material has been stripped of all personal identity elements and synthesized into an aggregated, anonymous format. The resulting dataset is intended strictly for statistical, demographic, and academic research, offering a safe and compliant framework for studying population-level mobility without compromising individual privacy.
Files
Steps to reproduce
1. Endpoints & moves derived from each residential history, with consecutive duplicate locations collapsed and military postal codes (AA/AE/AP) removed. 2. Generalization: state → Census region; exact move count → bins; birth year → age band. 3. Kinship count without links: number of filled relative slots only — relative names and ids were never carried forward, so no relationship graph is produced. 4. Sampling: a uniform random sample of 750,000 was drawn from records with complete generalized attributes, so its distributions estimate that population. 5. k-anonymity (k=5) over {age_group, region, moved_state, moves_bin, rel_bin}; profiles in cells smaller than 5 were suppressed (78 rows, <0.01%).
Institutions
- Decision Demographics (United States)Virginia, Arlington