This data collection contains information on the characteristics of aliens who became legal permanent residents of the United States in fiscal year 1999 (October 1998 through September 1999). Data are presented for two types of immigrants. The first category, New Arrivals, arrived from outside the United States with valid immigration visas issued by the United States Immigration and Naturalization Service. The second category, Adjustments, were already in the United States with temporary status and were adjusted to legal permanent residence through petition to the United States Immigration and Naturalization Service. Variables include port of entry, month and year of admission, class of admission, and state and area to which the immigrants were admitted. Demographic information such as age, sex, marital status, occupation, country of birth, country of last permanent residence, and nationality is also provided.

This graph shows the distribution of nationalities among documented immigrants who arrived in the United States between 1820 and 1870. As we can see, over seven million people arrived in the US in this 50 year period, with the majority coming from Ireland, Germany and Britain. The largest groups, by far, were Irish and German, who together made up roughly two thirds of all immigrants to the US during this time. The reasons for this were because of the Irish Potato famine from 1845 to 1849, which resulted in the death or emigration of twenty to twenty five percent of the total Irish population, and a number of internal factors in Germany such as economic migration for farmers affected by industrialization, political/religious asylum, and in order to avoid conscription. One noteworthy exclusion from the information is of those transported to US as slaves, whose information was not recorded in this statistic (although the slave trade was abolished in 1808, the practice continued in the decades that followed).

This data collection contains information on the characteristics of aliens who became legal permanent residents of the United States in the transitional quarter of fiscal year 1976. (This transitional quarter, July-September 1976, is the period in which the Federal Government was making the transition from a July-June fiscal year to an October-September fiscal year.) Data are presented for two types of immigrants. The first category, New Arrivals, arrived from outside the United States with valid immigrant visas issued by the United States Department of State. Those in the second category, Adjustments, were already in the United States with temporary status and were adjusted to legal permanent residence through petition to the United States Immigration and Naturalization Service. Variables include port of entry, month and year of admission, class of admission, and state and area to which immigrants were admitted. Demographic information such as age, sex, marital status, occupation, country of birth, country of last permanent residence, and nationality is also provided.

Comprehensive dataset of 369 Immigration & naturalization services in Texas, United States as of June, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

In 2023, the number of people from the United States registered as residents in Japan amounted to approximately 63.4 thousand people. This represented an increase from the previous year, which marked about 60.8 thousand residents.

Author: A Myers, educator, Minnesota Alliance for Geographic EducationGrade/Audience: grade 6Resource type: lessonSubject topic(s): migration, mapsRegion: united statesStandards: Minnesota Social Studies Standards

Standard 1. People use geographic representations and geospatial technologies to acquire, process and report information within a spatial context.

Standard 23. The end of the Cold War, shifting geopolitical dynamics, the intensification of the global economy and rapidly changing technologies have given renewed urgency to debates about the United States' identity, values and role in the world. (The U.S. in a New Global Age 1980-present)

Standard 5. The characteristics, distribution and migration of human populations on the earth's surface influence human systems (cultural, economic and political systems).

Standard 14. Globalization, the spread of capitalism and the end of the Cold War have shaped a contemporary world still characterized by rapid technological change, dramatic increases in global population and economic growth coupled with persistent economic and social disparities and cultural conflict. (The New Global Era 1989 to Present)Objectives: Students will be able to:

1. Locate and map immigrant settlement in Minnesota.
2. Summarize Minnesota immigrant information.
3. Describe the influence of push/pull factors on immigration to Minnesota.
4. Compare and contrast historic and contemporary immigrant groups in Minnesota. Summary: This lesson examines past and present immigrant groups in Minnesota and reasons for leaving their homes. In addition, students will examine the pull factors that attract immigrants to our state.

Comprehensive dataset of 81 Immigration & naturalization services in Virginia, United States as of June, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

This data collection contains information on the characteristics of aliens who became legal permanent residents of the United States in fiscal year 1982 (October 1981 through September 1982). Data are presented for two types of immigrants. The first category, New Arrivals, arrived from outside the United States with valid immigrant visas issued by the United States Department of State. Those in the second category, Adjustments, were already in the United States with temporary status and were adjusted to legal permanent residence through petition to the United States Immigration and Naturalization Service. Variables include port of entry, month and year of admission, class of admission, and state and area to which immigrants were admitted. Demographic information such as age, sex, marital status, occupation, country of birth, country of last permanent residence, and nationality is also provided.

Comprehensive dataset of 13 Immigration & naturalization services in Arkansas, United States as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

Comprehensive dataset of 72 Immigration & naturalization services in Washington, United States as of June, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

In 2025, 56 percent of the Brazilian population surveyed had a favorable opinion of the United States. This is the highest figure since 2015, when 73 percent of Brazilians said they had a good opinion of the North American country. While, in 2025, seven percent of respondents had a very negative opinion of the U.S..

Skilled foreign-born workers are critical to firms. Yet political or cultural factors can lead governments to restrict skilled immigration. To what extent, and how, does lobbying help firms overcome immigration barriers? This study explores these questions by focusing on the case of U.S. firms and an exogenous increase in H-1B high-skilled visa denial rates following the election of Trump in 2016. I construct an original firm-level dataset that combines the universe of U.S. temporary high-skilled visa petitions through 2017 with firms’ immigration lobbying reports and financial information. Leveraging the data and text analysis, I document key stylized facts about U.S. immigration lobbying behavior: who, how, and what firms lobby. Using a difference-in-differences design, I find that firms’ bureaucratic lobbying under the Trump administration reduced denial rates on their visa petitions by at least 4.5 percentage points. These findings bridge existing research on immigration policymaking and lobbying effectiveness.

Comprehensive dataset of 1 Immigration & naturalization services in West Virginia, United States as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

Comprehensive dataset of 26 Immigration & naturalization services in Colorado, United States as of June, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

Comprehensive dataset of 2 Immigration & naturalization services in South Dakota, United States as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

Sample restrictions for the SEDA standardized achievement scores datafile.

Context:

A permanent labor certification issued by the Department of Labor (DOL) allows an employer to hire a foreign worker to work permanently in the United States. In most instances, before the U.S. employer can submit an immigration petition to the Department of Homeland Security's U.S. Citizenship and Immigration Services (USCIS), the employer must obtain a certified labor certification application from the DOL's Employment and Training Administration (ETA). The DOL must certify to the USCIS that there are not sufficient U.S. workers able, willing, qualified and available to accept the job opportunity in the area of intended employment and that employment of the foreign worker will not adversely affect the wages and working conditions of similarly employed U.S. workers.

Content:

Data covers 2012-2017 and includes information on employer, position, wage offered, job posting history, employee education and past visa history, associated lawyers, and final decision.

Acknowledgements:

This data was collected and distributed by the US Department of Labor.

Inspiration:

• Can you predict visa decisions based on employee/employer/wage?
• How does this data compare to H1B decisions in this dataset?

Through an automated confirmation system, an employer matches information provided by a new employee (Form I-9) against existing information contained in Social Security Administration's (SSA) and the Department of Homeland Security's (DHS) U.S. Citizenship & Immigration Services (USCIS) databases. The SSA E-Verify System (SSA E-Verify) determines a specific verification code based upon information (SSN, DOB, L-Name, F-Name) in the NUMIDENT database. The verification code is returned to DHS E-Verify (DHS E-Verify) along with the original verification request. The message to the employer is determined by DHS E-Verify based on SSA's verification code.