A December 2025 AAPI Data and AP-NORC Center for Public Affairs Research survey of 1,029 Asian American, Native Hawaiian, and Pacific Islander adults reveals that approximately half name the high cost of living and inflation as a top government priority, a rate substantially higher than the one-third of U.S. adults overall who hold the same view. The 17-point divergence stems from the geographic concentration of AAPI populations in high-cost gateway cities and specific exposure to tariff pressures on ethnic grocery markets, which compound domestic housing and healthcare costs. As this compound cost squeeze deepens, community confidence in the government’s capacity to address key issues has fallen sharply, with 70 percent of respondents expressing low confidence, marking a 10-point increase in skepticism since the end of 2024.
The AAPI Cost-Priority Divergence and Survey Parameters
The AAPI Data and AP-NORC Center for Public Affairs Research survey of 1,029 Asian American, Native Hawaiian, and Pacific Islander adults was conducted between December 2 and December 8, 2025. The poll utilized NORC’s probability-based Amplify AAPI Panel, which is designed to be representative of the Asian American, Native Hawaiian, and Pacific Islander population, and carries a margin of sampling error of plus or minus 4.7 percentage points. The survey addresses a documented gap in national polling, as AAPI perspectives are frequently absent from larger national surveys due to small sample sizes and limited linguistic representation.
The central finding documents an approximately 17-point gap between AAPI and national cost-of-living priorities. About half of AAPI adults name the high cost of living and inflation as a top government priority. The corresponding share among U.S. adults overall, according to a separate December AP-NORC poll, is about one-third. This divergence holds across partisan lines; AAPI Democrats, Independents, and Republicans were each at least slightly more likely than their national party counterparts to name inflation and costs as a top priority. Furthermore, the AAPI inflation-priority share has risen year-over-year from about 4 in 10 in the prior year’s survey.
Regarding other economic priorities, about 2 in 10 AAPI adults mentioned housing costs or jobs and unemployment as priorities for the government, which aligns roughly with the national averages. The survey also notes a broader demographic trend, finding that Black, Hispanic, and AAPI adults were each more likely than white adults to name unemployment, jobs, and housing costs as government priorities.
Drivers of the Cost-Priority Gap
The available reporting supports multiple candidate explanations for the AAPI-versus-national cost-priority gap, which operate across different dimensions of evidentiary support, cross-partisan scope, and specificity to the AAPI population.
The geographic concentration of AAPI populations provides a foundational explanation. The largest AAPI adult populations reside in states and major metropolitan areas with higher costs of living and higher rents, notably California and New York. This geographic factor predicts elevated cost-anxiety for any group living in those metros, irrespective of ethnicity. While the evidentiary support for this geographic driver is high and its cross-partisan scope is broad, it possesses low specificity to the AAPI community alone and cannot fully account for the community-specific lift over the national rate.
Tariff exposure on imported and ethnic goods provides the AAPI-specific residual above the geographic baseline. Karthick Ramakrishnan, AAPI Data’s executive director and a researcher at the University of California, Berkeley, stated that AAPI households rely more heavily on imported goods and ethnic grocery markets than the general public. Ramakrishnan noted, “When it comes to costs for Asian Americans and Pacific Islanders, it’s just not cost of general market groceries but ethnic market groceries. It’s something visible to them and potentially causing anxiety and worry.” Ramakrishnan also reported that some AAPI shoppers were stockpiling at ethnic grocery stores ahead of tariffs taking effect in 2025. This channel predicts an effect specific to AAPI cost perception, with high AAPI-specificity, though its cross-partisan scope is medium.
Healthcare cost pass-through presents an adjacent channel. About 44 percent of AAPI adults want the government to prioritize health care, and about 6 in 10 report being extremely or very concerned about their 2026 health care costs. While healthcare concern among AAPI adults is roughly in line with U.S. adults overall, this channel explains the composition of AAPI concern more than the level-of-concern differential when compared to the national baseline.
A post-election collapse in institutional confidence presents a fourth factor. About 7 in 10 AAPI adults say they are not at all or only slightly confident the government will make progress on key issues, up from 60 percent at the end of 2024. However, confidence and priority-naming are conceptually distinct; a respondent can name inflation as a top priority while remaining confident in the government’s capacity, or vice versa.
Compositional and income effects lack sufficient evidentiary support in the reporting. The article provides no income-stratified breakdowns, and the cross-partisan finding cuts against a partisan-composition explanation.
Geographic concentration and tariff exposure jointly carry the explanation for the cost-priority gap. Geographic concentration establishes the baseline elevation in cost anxiety, while tariff exposure on ethnic goods accounts for the residual AAPI-specific lift above that baseline. Healthcare cost pass-through and the post-election collapse in institutional confidence function as adjacent factors that shape the composition and downstream consequences of AAPI anxiety, rather than driving the central divergence. The two primary channels are conditionally dependent: gateway geography concentrates AAPI exposure to ethnic-market tariff pass-through, and the tariff channel carries less weight outside those high-cost metros.
Forward Scenarios and Policy Levers
The trajectory of the AAPI cost-priority gap in 2026 depends on the interaction of specific policy levers and macroeconomic conditions.
If the tariff channel intensifies, the predicted consequence is that ethnic-market pricing pressure will compound rent pressure in gateway metros. Under this scenario, the AAPI-versus-national gap widens as the specific cost burden on ethnic goods grows. The failure pathway for this scenario occurs if stockpiling behavior, as reported in 2025, becomes normalized and consumer substitution away from ethnic goods erodes the cultural-economic infrastructure described by researchers. This trajectory diverges at federal tariff policy reviews.
Conversely, if housing cools in gateway metros, the geographic driver dampens. The AAPI-versus-national gap would narrow, and the cost-anxiety signal would converge toward the national rate even if tariff exposure persists. The failure pathway here is that cooling is uneven and concentrates in luxury segments, leaving the AAPI rent burden largely unchanged. This scenario diverges at state-level housing supply decisions, which fall outside federal cost-priority levers.
A third scenario involves healthcare reform. If reform passes, the healthcare cost pass-through channel dampens, and the roughly 6-in-10 AAPI healthcare-cost-concerned share eases. The inflation-as-top-priority share may fall as healthcare recedes as a competing priority. However, this does not address the geographic or tariff drivers directly. The failure pathway occurs if reform reduces headline premium growth without addressing the out-of-pocket exposure that drives medical-tourism behavior. The divergence point is the scope of any reform, specifically whether it addresses premium-side costs or out-of-pocket-side costs, which determines whether the AAPI-specific medical-tourism pattern shifts.
Under a trend-extrapolation baseline, tariffs on imported goods continue to elevate the cost of ethnic grocery and cultural imports, while domestic health care inflation remains sticky. The compound cost squeeze deepens, reliance on transnational arbitrage and supply chain stockpiling become normalized coping mechanisms, and the survey-documented confidence decline continues.
An orthogonal-driver scenario involves a macroeconomic shift or secondary policy intervention altering the trajectory, such as tariff revenues redirected into targeted rebates for high-cost gateway cities, or bilateral health care agreements facilitating cross-border coverage. The probability of this scenario is low given the prevailing policy emphasis on broad tariff application rather than targeted exemptions.
A discontinuity scenario involves an external shock, such as a severe economic contraction or a geopolitical event, shifting the primary vector of community anxiety from the cost of living to employment security. Analytically, a severe economic contraction would be expected to reorder priority hierarchies, with labor market preservation displacing inflation concerns at the top of the hierarchy, though the survey data does not directly test that hypothesis. While the survey notes that Black, Hispanic, and AAPI adults are each more likely than white adults to name unemployment, jobs, and housing costs as priorities, a severe discontinuity would reset the hierarchy of needs entirely.
The predictive validity of the survey faces a pre-mortem threat from compositional drift. The AAPI adult population aggregates Asian American, Native Hawaiian, and Pacific Islander respondents, and aggregate shares may mask divergent subgroup trajectories. A second failure pathway is that the cross-partisan finding could compress if 2026 election-year polarization narrows measured confidence gaps without resolving underlying cost fundamentals.
Framing and Witness Testimony
Standard multi-criteria evaluations of government economic policy rely on broad metrics, including national inflation rates, aggregate housing affordability, and general unemployment. The survey confirms that about 2 in 10 AAPI adults prioritize housing and jobs, aligning roughly with national averages. The available material does not test whether the policy criteria space surveyed encompasses the dimensions respondents experience as most pressing. The 7-in-10 confidence figure functions in the reporting as an outcome metric of a gap between the priorities the survey instrument records and the criteria space the standard policy toolkit tracks.
The reporting pairs the aggregate signal with individual voices that document the channels at the household level. Kevin Tu, a 32-year-old Taiwanese American in Lynnwood, Washington, described the convergence of obligations: “I’m trying to figure out how to balance possible part-time day care with our mortgage, with cost of living.” Tu’s testimony documents the gateway-rent channel.
Srilasya Volam, a 25-year-old business consultant in Atlanta, described the medical-tourism channel driven by domestic healthcare costs: “It’s cheaper for us to get a flight ticket and go to India and have a medical procedure and come back than it is to have that done here.”
Ernie Roaza, a 66-year-old retired geologist in Tallahassee, Florida, who emigrated from South Korea, processed the political moment through historical cycles, stating: “This administration will make things worse. But in every administration we’ve had, there are hills and valleys. We’re in the valleys right now.” Roaza’s testimony documents the confidence channel, illustrating one AAPI adult’s long-horizon coping rather than a community-wide orientation.
Substantive Tensions and Limitations
Two competing weightings of the secondary hypotheses are present in the reporting. One weighting treats the confidence collapse as a load-bearing adjacent signal with a dedicated forward-scenario treatment tied to it as a primary channel of consequence. The other weighting treats the confidence collapse as a downstream outcome of a cost-criteria mismatch and subordinates it to the three primary cost-vector channels, with no dedicated forward scenario attached to it.
This tension affects which lever a policy reader is steered toward, separating institutional-trust interventions from the three cost-vector levers, and is not resolved from the available material. The elevated AAPI cost-priority signal is not reducible to one cause. Gateway geography explains the baseline elevation above the national rate; tariff exposure on ethnic goods explains the AAPI-specific residual above that baseline; the confidence collapse is an adjacent signal whose interaction with priority-naming the survey does not directly test. The 2026 trajectory of the gap depends on which policy lever moves, and on whether the federal response addresses the ethnic-market channel specifically or only the general inflation rate. Within the survey’s 12-month empirical envelope, the year-over-year widening documented in the December 2025 survey is likely to continue into 2026.
Analytical techniques used in this piece
This analysis applies the methods below. Each links to a short, plain-English explainer you can read and reuse.
- Bayesian Hypothesis Network
- Updates the probabilities of competing hypotheses as evidence accumulates.
- Multi-Criteria Decision Analysis
- Scores competing options against several weighted criteria at once.
- Wicked Futures
- Explores a long-horizon, deeply entangled future with no clean resolution.
- Bayesian Reasoning
- Starting from base rates and updating beliefs proportionally as evidence arrives.