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.

National Latino Education Institute

Also known as NLEI.

2011 W PERSHING RD, CHICAGO, IL 60609-2205

National Latino Education Institute is a nonprofit organization in Chicago, Illinois that serves immigrants and refugees.

NLEI serves the Latino community in Chicago with workforce development and job training, ESL and adult basic education, digital literacy, entrepreneurship and financial coaching, and advocacy for economic independence.

Mission

National Latino education institute advances their community's economic independence through market and results driven education, training, employment, and advocacy...

Services

Read from the organization's website.

  • Digital literacy: “Digital Literacy Keyboarding Spreadsheets Word Processing”
  • Economic development: “Economic Empowerment Entrepreneurship Credit Building”
  • Employment / job training: “RIGOROUS WORKFORCE TRAINING, SUPPORTIVE SERVICES AND JOB PLACEMENT ARE PROVIDED IN THE INDUSTRIES OF CONSTRUCTION, RENEWABLE ENERGY, PRE-APPRENTICESHIP IN THE BUILDING TRADES, HEALTHCARE, HOSPITALITY AND GENERAL...”
  • ESL / English: “ESL STEM Program”
  • Financial literacy: “Economic Empowerment Entrepreneurship Credit Building”

Languages

Services delivered in Spanish.

Website in English only.

Communities served

Hispanic/Latino.

Service area: Chicago, Illinois.

Contact

Founded 1977. IRS NTEE code J22Z. Revenue $500,000-999,999. Latest Form 990: 2023. EIN 36-2755187.

Other organizations in Chicago

All organizations in Chicago | All organizations in Illinois

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).