Stop AAPI Hate National Report (Mar 19 – Aug 5 2020): Comprehensive Study Notes
Overview
National compilation of anti-Asian hate incidents recorded by Stop AAPI Hate between March 19 – August 5 2020
Dataset: N = 2{,}583 self-reported incidents across 47 U.S. states + D.C. + Puerto Rico
Focus: descriptive statistics of discrimination types, locations, motives, victim demographics, and qualitative examples
Context: Surge in xenophobia linked to COVID-19 pandemic; report guides advocacy, civil-rights enforcement, public awareness
Aggregate Key Findings
Verbal harassment dominates (≈ 70 ext{%})
Shunning/avoidance ≈ 22 ext{%} → distinct, non-contact form of racialized exclusion
Physical assault ≈ 9 ext{%}; coughing/spitting (often weaponized as “disease”) ≈ 6 ext{%}
Civil-rights concerns (workplace bias + barring from services/transport) ≈ 8 ext{%} total
Businesses = single most common site (≈ 38 ext{%})
Primary suspected motive: race (90.4 ext{%}) rather than specific nationality
Women file reports 2.4-times more than men; youths (<20 yrs) 14 ext{%}, elders (≥60) 7.5 ext{%}
California alone supplies 46 ext{%} of cases; next highest: NY (14 ext{%})
Detailed Statistical Breakdown
Types of Discrimination
Verbal Harassment / Name-Calling — 70.6 ext{%}
Shunning (deliberate avoidance) — 21.8 ext{%}
Physical Assault — 8.7 ext{%}
Coughed At / Spat Upon — 6.4 ext{%}
Online Harassment — 4.8 ext{%}
Workplace Discrimination — 4.3 ext{%}
Barred from Establishment — 2.7 ext{%}
Vandalism / Graffiti — 2.1 ext{%}
Barred from Transportation — 1.0 ext{%}
Sites of Discrimination
Business — 38.4 ext{%}
Public Street / Sidewalk — 20.4 ext{%}
Public Park — 11.1 ext{%}
Online (platform-specific) — 10.7 ext{%}
Private Residence — 9.8 ext{%}
Public Transit — 9.1 ext{%}
School (K-12) — 3.7 ext{%}
Other — 2.1 ext{%}
University — 1.9 ext{%}
Place of Worship — 0.5 ext{%}
Suspected Reasons for Discrimination (multiple selections allowed)
Race — 90.4 ext{%}
Ethnicity — 68.7 ext{%}
Face Mask / Clothing — 15.9 ext{%}
Gender — 8.4 ext{%}
Language — 6.4 ext{%}
Food-related stereotypes — 2.7 ext{%}
Religion — 1.0 ext{%}
Demographics of Respondents
Age Groups:
• 10s — 14.1 ext{%}
• 20s — 23.7 ext{%}
• 30s — 28.6 ext{%}
• 40s — 17.0 ext{%}
• 50s — 9.1 ext{%}
• 60s — 6.6 ext{%}
• 70s + — 0.9 ext{%}
Gender Identity:
• Female — 69.5 ext{%}
• Male — 29.1 ext{%}
• Trans & Gender Non-binary — 1.4 ext{%}
Ethnicity (top categories, N = 2{,}525):
• Chinese — 40.4 ext{%}
• Korean — 15.7 ext{%}
• Pan-Asian (not specified) — 11.8 ext{%}
• Other Asian — 9.7 ext{%}
• Vietnamese — 7.9 ext{%}
• Filipino — 7.6 ext{%}
• Japanese — 6.7 ext{%}
• Taiwanese — 5.3 ext{%}
• Hmong — 4.2 ext{%}
• Remaining groups (<2 ext{%} each): Thai, Lao, Mixed, Cambodian
Geographic Distribution (selected)
California: 1{,}116 incidents — 46.36 ext{%}
New York: 340 — 14.13 ext{%}
Washington: 100 — 4.15 ext{%}
Illinois: 73 — 3.03 ext{%}
Texas: 72 — 2.99 ext{%}
Long tail across >40 states; each <3 ext{%}
Qualitative Incident Themes & Examples
Barred from Establishment / Services
Masked shopper trailed + surfaces disinfected only where she touched (Phoenix AZ)
Ride-share canceled on seeing Asian passenger in mask en-route to medical visit (NYC)
Children & Youth
Orange-juice attack in school bathroom with “Coronavirus” slur (Union City CA)
Classroom ridicule: peers move away after return from Taiwan; teacher fails to intervene (Seattle)
Summer-camp “corona touch” game targeting 9-y-o boy; counselors intervened late (Austin TX)
Coughed / Spat Upon
Healthcare worker stalked on NYC subway; assailant spits while yelling slurs; bystanders passive
Portland street cough + “go back to your country”
Chicago incident misidentifying victim as Chinese, spat upon
Elderly-Targeted
Korean grandparents + infant followed by group shouting COVID accusations (Cliffside NJ)
Cigarette thrown at elderly couple after slurs (Palo Alto CA)
70-y-o woman verbally harassed in apartment complex (Oakland CA)
Online Harassment
Realtor’s Facebook post pairing virus with dog-meat image (Des Moines IA)
Fake Instagram “Ching Chong House” menu by CSU students (Fort Collins CO)
Bat-soup jokes and emojis in livestream (Union City CT)
Physical Assault
Shoulder-push + attempted spit; bystander defender also spat on (Manhattan NY)
SUV driver mounts curb to chase Asian pedestrian (Thousand Oaks CA)
Woman sprays Lysol on victim, yelling “You’re the infection” (Marietta GA)
Shunning / Social Avoidance
Customer runs away covering mouth upon seeing Korean American (Issaquah WA)
Athletes hug walls of empty hallway to avoid Asian student (Queen Creek AZ)
Families clutch children, utter “stay away” comments at venue entrance (Trenton NJ)
Verbal Harassment
Repetition of “Wuhan lane” directed at lone Chinese family in Queens NY
Elevator encounter: “You f**king Chinese people… we’re going to get you” (Portland OR)
Group blames victim for bringing virus, screams while unmasked (Pittsburgh PA)
Long-time customer told “Go back to China”; store manager refuses accountability (West Palm FL)
Workplace Discrimination
Lab coworkers mimic “Ching Chong” accents repeatedly
Conference attendee ordered out after sneeze though others symptomatic (Monterey CA)
HR jokes masks from China are “contaminated” → refusal to use PPE (Louisville KY)
Organizational Background
Stop AAPI Hate: founded by
• Asian Pacific Policy & Planning Council (A3PCON)
• Chinese for Affirmative Action (CAA)
• SF State Univ. Asian American Studies Dept.
Mission: Track incidents, advocate policy change, support vulnerable AAPI communities (especially low-income, immigrant, refugee)
Historical lineage: Draws on civil-rights frameworks (CAA est. 1969) and 1968-69 student strikes that birthed Ethnic Studies at SFSU
Analytical & Real-World Implications
Intersectionality: Women, youth, and elders disproportionately affected, indicating gendered + age-based vulnerability layered on racialization
Civil-Rights Enforcement: 8 ext{%} incidents involve explicit denial of goods/services—potential Title II, VII, or ADA violations
Public Health Paradox: Mask-wearing (public-health compliance) paradoxically triggers discrimination—contradicts “blaming” logic
Geographic Concentration: High CA share reflects population density but also signals need for state-level interventions; yet widespread distribution shows national scope
Online-Offline Continuum: Digital hate (≈ 11 ext{%} of sites) mirrors and amplifies offline stereotypes, suggesting platform accountability
Disease Rhetoric: Coughed/spat incidents weaponize contagion anxiety; historically parallels 19th-century “yellow peril” disease narratives
Policy Recommendations (implied):
• Collect disaggregated data to inform targeted responses
• Fund community safety programs (bystander training, reporting hotlines)
• Integrate anti-racist curriculum in schools to protect youth
• Enforce workplace anti-harassment laws and public-accommodation statutes
Connections to Broader Scholarship & History
Echoes earlier spikes in anti-Asian sentiment during SARS (2003) and post-9/11 racialized backlash (e.g., against South Asians & Muslims)
Reinforces theories of “perpetual foreigner” stereotype and racial triangulation of Asians in U.S. racial hierarchy
Aligns with public-health literature on scapegoating during epidemics (e.g., cholera, HIV)
Empirically supports calls for inclusive pandemic response plans that center racial equity