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New research challenges notions about mass exodus from California - Lake County News

New research released by the nonpartisan California Policy Lab finds that contrary to suggestions about a mass exodus from California, most moves in 2020 happened within the state.

Exits from California in 2020 largely mirrored historical patterns, while the biggest statewide change was a decrease in people moving into California.

Using a new dataset of quarterly credit bureau data, the research team analyzed where Californians from each county moved after the pandemic struck in March 2020.

“While a mass exodus from California clearly didn’t happen in 2020, the pandemic did change some historical patterns, for example, fewer people moved into the state to replace those who left,” explains author Natalie Holmes, a Research Fellow at the California Policy Lab and a graduate student at the Goldman School of Public Policy at UC Berkeley. “At the county level, however, San Francisco is experiencing a unique and dramatic exodus, which is causing 50 percent or 100 percent increases in Bay Area in-migration for some counties in the Sierras.”

“Some folks seem to be worried about the tax implications of wealthy individuals leaving the state, but we don’t yet see any dramatic evidence that rich households are fleeing California en masse,” comments Evan White, executive director of the California Policy Lab at UC Berkeley. “Unfortunately, because the state relies heavily on income taxes on the uber-wealthy, the departure of even small numbers of wealthy people could negatively impact revenues if they aren’t replaced with new entrants.”

This is the first published analysis using a new dataset of quarterly credit and residency information that CPL will use to inform the state’s understanding of mobility, wildfire impacts, financial well-being and student loans.

The data shows that Lake County had 1,062 exits in Q4 of 2020, down by 2.5 percent over the prior year. At the same time, Lake County had 1,148 entrances, up by 1.4 percent over the same time period in 2019. The total share of the population that moved was 3.2 percent.

Fifteen counties had lower exit rates than Lake County, based on the data.

Among the key findings, the study discovered that the share of movers that leave the state has grown slightly since 2015, from 16 percent to 18 percent, a trend that continued in 2020 with no marked increase.

Historically, the number of people leaving California tracks the number of people entering California, but this pattern deviated in Q4 2020, when 267,000 people left the state and only 128,000 entered.

The research also found that there is no evidence that wealthy households are leaving the state en masse. Their rates of exit track trends in less wealthy areas.

Net exits from San Francisco from the end of March to the end of the year increased 649 percent as compared to the same period in 2019, from 5,200 net exits to 38,800.

Researchers also found that approximately two-thirds of people who moved out of San Francisco remained within the 11-county Bay Area economic region, and 80 percent remained in California.

Counties in the Sierra Nevada mountains and other parts of Northern California saw huge increases in entrances by former Bay Area residents, with 50 percent and in some cases 100 plus more in-migrants in 2020 as compared to 2019.

This analysis uses the University of California Consumer Credit Panel, or UC-CCP, a new dataset created through a partnership between the California Policy Lab, the Student Borrower Protection Center and the Student Loan Law Initiative.

The UC-CCP consists of data from Experian, and contains longitudinal information about adults with a credit history who have lived in California since 2004.

Data includes each person’s zip code of residence, as reported by creditors, and credit information at a quarterly frequency. We define moves as changes in zip codes from one quarter to the next.

The analysis is focused on reported moves – defined as the date when that move is reported to financial institutions and shows up in the dataset – which are expected to lag behind actual moves.

More information about methodology is included in the report.

Sean Coffey writes for the UC Berkeley News Center and the California Policy Lab.

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