Immigrant Support Atlas

Foreign-born share over time

How the immigrant share of the population shifts across the country. Press play to animate. Source: US Census ACS 5-year.

Access to immigrant-serving organizations

Spatial access by the enhanced two-step floating catchment area method (E2SFCA). Darker green = better access; orange = a service desert (people who need it, but no organization within reach); gray = no foreign-born population. Source: org locations + US Census ACS 2023.

Immigrant Policy Inclusion Index

How inclusive each state’s policies are toward immigrants, across seven domains: health coverage, language access, higher education, identification, integration & licensure, legal protection, and economic inclusion. Darker green = more inclusive; orange/red = more restrictive or limited. Click any state for its full profile.

Immigrant–Native Disparity Index

Standardized gaps between foreign-born and US-born residents (uninsured, crowded housing, rent burden, education, home internet, vehicle access, homeownership) from US Census ACS. Green = smaller gaps; red = larger gaps. This is an outcome measure, separate from the Policy map: it describes how immigrant and US-born residents differ, and is shaped by who has immigrated where (recency and composition), not by state policy alone. Click any state for its full profile.

English assimilationism

Project Implicit is a self-selected volunteer sample, not a representative survey; within each area, respondents are reweighted to the Census population by age, sex, race and ethnicity, and citizenship. Higher = less welcoming. Areas with too few respondents are left blank. See the note below for the exact survey item. Source: Project Implicit 2023-2025.

Immigrant attitudes

Project Implicit is a self-selected volunteer sample, not a representative survey; within each area, respondents are reweighted to the Census population by age, sex, race and ethnicity, and citizenship. Higher = less welcoming. Areas with too few respondents are left blank. See the note below for the exact survey item. Source: Project Implicit 2023-2025.

Equis Institute

660 PENNSYLVANIA AVENUE SE, WASHINGTON, DC 20003-4346

Equis Institute is a nonprofit organization in Washington, District of Columbia that serves immigrants and refugees.

Equis Institute is a research and civic-engagement hub for the Latino community, conducting polling/research and running voter-mobilization and cultural-mobilization initiatives to increase Latino civic participation.

Mission

EQUIS INSTITUTE'S MISSION IS TO CREATE A BETTER UNDERSTANDING OF LATINX COMMUNITIES, INVEST IN INNOVATIVE APPROACHES TO REACH AND ENGAGE THEM, AND CONVENE LATINX LEADERS FOR THE GROWTH AND LONG TERM SUSTAINABILITY OF THE SECTOR. CULTURAL MOBILIZATIONTHROUGH THE CULTURAL MOBILIZATION PROJECT, EQUIS PARTNERED WITH DOZENS OF STATE, LOCAL, AND NATIONAL ORGANIZATIONS TO ORGANIZE A LARGER CULTURAL MOMENT OF LATINO PRIDE AROUND THE FILM, FLAMIN' HOT. WE FILLED 29 SCREENINGS NATIONWIDE, GENERATING 151 MILLION COMBINED TIKTOK AND INSTAGRAM IMPRESSIONS.

Services

Read from the organization's website.

  • Civic engagement: “LAPIZEQUIS RAN A PROGRAM CALLED THE LATINO POLITICAL INNOVATION ZONES (LAPIZ) TO HELP DEVELOP A PLAYBOOK FOR MOVEMENT GROUPS TO TURNOUT LATINO VOTERS”

Languages

Services delivered in Spanish.

Website offers an automatic translation widget only.

Communities served

Hispanic/Latino.

Contact

Founded 2022. IRS NTEE code A23. Revenue $12,353,631. Latest Form 990: 2023. EIN 87-1337465.

Other organizations in Washington

All organizations in Washington | All organizations in District of Columbia

Sources: IRS exempt-organization records, Form 990 filings, federal and network directories, and the organization's own website. Data as of October 19, 2026. Information here can change; contact the organization to confirm.

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Immigrant profiles by origin, language, and race / ethnicity

Pick a group to see its own profile: how large it is and how it lives, with the all-foreign-born and US-born averages shown for context. National estimates from US Census ACS 1-year microdata (PUMS).