The New Immigrant Survey (NIS) was a nationally representative, longitudinal study of new legal immigrants to the United States and their children. The sampling frame was based on the electronic administrative records compiled for new legal permanent residents (LPRs) by the U.S. government (via, formerly, the U.S. Immigration and Naturalization Service (INS) and now its successor agencies, the U.S. Citizenship and Immigration Services (USCIS) and the Office of Immigration Statistics (OIS)). The sample was drawn from new legal immigrants during May through November of 2003. The geographic sampling design took advantage of the natural clustering of immigrants. It included all top 85 Metropolitan Statistical Areas (MSAs) and all top 38 counties, plus a random sample of MSAs and counties. The baseline survey was conducted from June 2003 to June 2004 and yielded data on: 8,573 Adult Sample respondents, 810 sponsor-parents of the Sampled Child, 4,915 spouses, and 1,072 children aged 8-12. Interviews were conducted in the respondents' language of choice. The Round 1 questionnaire items that were used in social-demographic-migration surveys around the world as well as the major U.S. longitudinal surveys were reviewed in order to achieve comparability. The NIS content includes the following information: demographic, health and insurance, migration history, living conditions, transfers, employment history, income, assets, social networks, religion, housing environment, and child assessment tests.

Public use data set on new legal immigrants to the U.S. that can address scientific and policy questions about migration behavior and the impacts of migration. A survey pilot project, the NIS-P, was carried out in 1996 to inform the fielding and design of the full NIS. Baseline interviews were ultimately conducted with 1,127 adult immigrants. Sample members were interviewed at baseline, 6 months, and 12 months, with half of the sample also interviewed at three months. The first full cohort, NIS-2003, is based on a nationally representative sample of the electronic administrative records compiled for new immigrants by the US government. NIS-2003 sampled immigrants in the period May-November 2003. The geographic sampling design takes advantage of the natural clustering of immigrants. It includes all top 85 Metropolitan Statistical Areas (MSAs) and all top 38 counties, plus a random sample of other MSAs and counties. Interviews were conducted in respondents'' preferred languages. The baseline was multi-modal: 60% of adult interviews were administered by telephone; 40% were in-person. The baseline round was in the field from June 2003 to June 2004, and includes in the Adult Sample 8,573 respondents, 4,336 spouses, and 1,072 children aged 8-12. A follow-up was planned for 2007. Several modules of the NIS were designed to replicate sections of the continuing surveys of the US population that provide a natural comparison group. Questionnaire topics include Health (self-reports of conditions, symptoms, functional status, smoking and drinking history) and use/source/costs of health care services, depression, pain; background; (2) Background: Childhood history and living conditions, education, migration history, marital history, military history, fertility history, language skills, employment history in the US and foreign countries, social networks, religion; Family: Rosters of all children; for each, demographic attributes, education, current work status, migration, marital status and children; for some, summary indicators of childhood and current health, language ability; Economic: Sources and amounts of income, including wages, pensions, and government subsidies; type, value of assets and debts, financial assistance given/received to/from respondent from/to relatives, friends, employer, type of housing and ownership of consumable durables. * Dates of Study: 2003-2007 * Study Features: Longitudinal * Sample Size: 13,981

The New Immigrant Survey (NIS2NL) is a longitudinal panel study on early integration processes of recent migrants to the Netherlands. NIS2NL is targeted at Bulgarian, Polish, Spanish and Turkish immigrants who recently moved to the Netherlands and contains questions about demographic characteristics, living situation, education, employment, income, language, identification, contact, and perceived discrimination.The data collection for the first wave of NIS2NL was carried out in late 2013 and early 2014. Data for the second wave were collected in late 2014 and early 2015. The third wave was conducted in late 2016 and the fourth in early 2018. Answers were collected in written format either online or on paper. All correspondence with the respondents took place in their native (country of origin) language.

Report with the aim of deepening the information provided by the National Survey of Immigrants 2007, carried out by the National Institute of Statistics (INE), based on the results of the sample for the Valencian Community.

Report with the aim of deepening the information provided by the National Survey of Immigrants 2007, carried out by the National Institute of Statistics (INE), based on the results of the sample for the Valencian Community.

The SCIP project (“Causes and Consequences of Socio-Cultural Integration Processes among New Immigrants in Europe”) is the first comparative survey among new arrivals in four Europe countries: Germany, Great Britain, Ireland and the Netherlands. Its substantive focus is on socio-cultural integration trajectories. This aspect of migration has received increasing attention in public debate yet remains seriously under-researched. In particular, existing data cannot settle the question whether socio-cultural integration is a consequence or a prerequisite for migrants’ structural integration (e.g. in the labour market) – and whether, how and why groups might differ in this regard. By focusing on recent arrivals, the SCIP project studies a particularly dynamic phase of the entire integration process, thus laying the ground for the creation of a “European New Immigrant Panel” that matches the existing new immigrant surveys in classical immigration countries such as the USA.

In the SCIP project, two cross-national waves of survey data were collected among groups of new immigrants that vary along a number of dimensions, including religion (Catholics versus Muslims), social status (medium to high-skill versus low-skill migrants) and immigration status (EU citizens versus non-EU-citizens). In all four countries, recently arrived Poles were sampled, along with new immigrants from Turkey (Germany, Netherlands), Antilles (Netherlands), Bulgaria (Netherlands), Morocco (Netherlands), Suriname (Netherlands) and Pakistan (United Kingdom). In a mini-panel design, immigrants were interviewed 12 months maximum after their arrival (first wave) and one and a half years later (second wave).

To allow for comparisons across time, pre- and post-migration characteristics were collected. Further, questions were adopted from established survey instruments such as New Immigrant Survey, the European Social Survey, or the World Values Survey to facilitate broader comparisons.

The survey instrument was designed to cover a wide array of items including (1) standard demography and migration biography, (2) language and integration policies, (3) identity and exclusion, (4) religion, (5) social and (6) structural integration. In detail, the following information was collected:

Topics: 1. Language and integration policies: language skills und use, information on third languages, participation in integration classes 2. Identity and exclusion: cultural consumption and practices, identification / belonging, feelings of acceptance and percieved discrimination, satisfaction with the migration decision and the current situation, preceived compability of cultures and acculturation attitudes, information on politics and attitudes about democracy 3. Religion: religion, worship attendance and praying behaviour, religious practices, the composition of the place of worship as well as information on the religion of the partner 4. Social integration: bonding and bridging ethnic ties, social participation, core networks (strong ties) and the density of the social network 5. Structural integration: education, employment situation of the respondent and partner as well as information on remittances.

Demography and migration biography: sex; year of birth; country of birth; citizenship; currently working; family situation; stable relationship; household characterictis; migration biography and motives; migration biography and legal situation of the partner; living situation and composition of the neighborhood.

Additionally coded was: respondent-ID; mode of the interview; Panel wave; ethnic group; interviewer-ID; disposition-code; date and time of the interview; duration of the interview; proportion of missing values in case; contacted by interviewer, interview accomplished.

Interviewer rating: easy implementation of the interview (interviewer and respondent); attandance of third parties during the interview; person who has answered questions about the partner; attendance of the partner during the partner questions; problems finding the survey household; respondent´s cooperation; comments.

Abstract

These data consist of a long-term follow-up of applicants to a migration visa lottery. Tongan households were surveyed as migrants in New Zealand, or non-migrants in Tonga. It was used to examine the long-term impacts of international migration by comparing immigrants who had successful ballot entries in a migration lottery program, and first moved almost a decade ago, with people who had unsuccessful entries into those same ballots. It was additionally used to study how migrating from a poor country to a rich country affects economic beliefs, preference parameters, and household decision-making efficiency. In a ten-year follow-up survey of applicants to a migration lottery program we elicit risk and time preferences and pro-market beliefs for the migrants and the unsuccessful applicants. The successful and the unsuccessful applicants are each linked to closest relative households, who would stay in the home country if the applicant moved, to play lab-in-the-field games that measure intra-family trust and the efficiency of intra-family decision-making.

Geographic coverage

The survey covers Tongans who applied to the 2002-05 Pacific Access Category migration visa program, along with linked households of their family members. This involved surveying in both New Zealand and Tonga (along with a small number of surveys of movers to third countries).

Analysis unit

Data are collected at both the individual and household level

Kind of data

Sample survey data [ssd]

Sampling procedure

Our population of interest consists of entrants to the 2002 to 2005 PAC migration lotteries. There were a total of 4,696 principal applicants of whom 367 were randomly selected as ballot winners (figure 2). Official records provided by the New Zealand immigration authorities in late 2012 show that 307 of these winners (84%) had residency applications approved and had ever migrated to New Zealand. The remaining 60 ballot winners did not migrate and are thus non-compliers to the treatment of migration.

Our main survey involved an extensive face-to-face interview, which also collected anthropometrics, blood pressure, peak lung flow, and included lab-in-the-field games. Of the 307 principal applicants ever migrating to New Zealand, 133 completed the full survey between late 2013 and the end of 2014. In order to bolster our sample size, in early 2015 we fielded a shortened survey that did not include health measurements or the lab-in-field games. This was mainly done as a telephone interview and was designed to reach those who had on-migrated beyond New Zealand or were located in parts of New Zealand that were impractical for face-to-face interviewing, although we also learned, through snowball effects, of more migrants in our face-to-face survey area and gave them the short survey as well. Overall, 61 additional ballot winners who had ever migrated to New Zealand were given the short survey, including 11 who had now on-migrated to Australia (ten) and the UK (one). In total, we were able to survey 194 households with principal applicants who ever migrated to New Zealand after winning the ballot.

We had even less information available for the ballot losers and non-compliers since these individuals had not filled out residency applications. We therefore used the same surveying approach for these groups as we had in our previous survey, which was to sample from the same villages in Tonga from which our migrants originated. Out of 4329 ballot losers, 143 were administered the long form survey and 39 the short survey (of which nine had subsequently moved to New Zealand through alternative pathways, including by winning a later round of the PAC lottery). Finances limited us to this relatively small sample, but, based on our previous research, we judged that it would give us enough power to measure economically significant impacts. An advantage of surveying from the same origin villages is that we can implicitly control for any unobserved characteristics that vary spatially in Tonga. Finally, we have a small sample of nine non-compliers; six who received the long survey and three the short survey. This is out of a population of 60 non-compliers, which hence made it difficult to find many individuals in this group.

Mode of data collection

Face-to-face [f2f]

Research instrument

Four separate questionnaires were administered: - a survey for migrant households in New Zealand - a survey for non-migrant households in Tonga - a survey of linked partner households - a short survey

The main objective of the ENTRA (Recent Immigration Processes and Early Integration Trajectories in Germany) Survey was to collect data on new immigrants in Germany that capture immigration and settlement dynamics as well as integration trajectories. The study consists of a two-wave panel survey of four different immigrant groups: Italians, Poles, Syrians, and Turks. In the first wave, new immigrants were interviewed in the first years of their stay in Germany. About a year and a half later, they were interviewed a second time to track their early integration progress. During the survey period from 10.05.2019 to 31.10.2019 (Wave 1) und 20.11.2020 to 21.04.2021 (Wave 2), immigrants from Italy, Poland, Syria, and Turkey between the ages of 18 and 40 were surveyed in online interviews (CAWI), telephone interviews (CATI), and in-person interviews (CAPI) about various aspects of immigrant integration, including language skills and use, ethnic and national identities, ethnic boundaries, political participation, religious affiliation and practices, social contacts and networks, educational attainment, labor market participation, and health. Respondents were selected through a two-stage sampling procedure. In the first step, the five cities with the largest immigration flows were selected for each group based on data from migration statistics and the Central Register of Foreigners (AZR). In the second step, again separately for each immigrant group, a random sample of target individuals was drawn from the cities´ population registers. The panel study was designed as a multimodal survey conducted in the national language of each immigrant group. A total of 4,448 immigrants and refugees participated in the first wave of the survey, and longitudinal data from both panel waves are available for 3,366 cases. The additional COVID-19 survey was conducted in May/June 2020. Only a small sample of questions from the main survey was included in the questionnaire, while several questions about the COVID-19 situation were added. Unlike the first and second waves, the COVID-19 survey was conducted as an online survey only.

Access to data from the 1997 National Immigrant Survey The access url is directed to the operation menu from where they can be viewed as html and download the different tables that make up the publication. The download can be done in pc-axis, excel and CSV format

Full edition for scientific use. The Austrian Immigrat Survey 2016 is a supplementary telephone survey to the main survey of the Social Survey Austria (SSÖ) 2016. In the supplementary survey, each 300 migrants in Austria from Turkey and former Yugoslavia were interviewed about their living situation. In order to make comparisons with the Austrian population, some of the questions were the same as asked in the SSÖ main survey.

The metadata set does not comprise any description or summary. The information has not been provided.

Provides international migration data that will assist the U.S. Census Bureau, other government agencies, and other researchers to improve the quality of international migration estimates and to determine changes in migration patterns that are related to the nations population composition.

Full edition for scientific use. This data set is a combination of the Social Survey Austria (SSÖ) 2016 and the Austrian Immigrant Survey 2016 (AIS). The abstracts for the respective data sets can be found under the DOI numbers: doi: 10.11587/IGXRAO (SSÖ 2016) and doi: 10.11587/8VAV6W (Austrian Immigration Survey 2016).

Seattle Votes is a community outreach and engagement campaign to identify and better document the barriers to civic engagement for Seattle's immigrant and refugee residents. By partnering with hundreds of organizations, thousands of Seattle-King County immigrants and refugees will have a chance to tell us why they don't become citizens, register to vote, or vote. NOTE: Due to the methodology of the campaign, this data is not a random sample.

This survey was sponsored by Knight-Ridder and conducted by the Princeton Survey Research Associates from May2 - 26, 1997. A National sample of adults plus an oversample of 101 Blacks and 102 Hispanics were surveyed on their attitudes towards recent immigration.

Please Note: This dataset is part of the historical CISER Data Archive Collection and is also available at the Roper Center for Public Opinion Research at https://doi.org/10.25940/ROPER-31096578. We highly recommend using the Roper Center version as they may make this dataset available in multiple data formats in the future.

The aim of Longitudinal Survey of Immigrants to Australia was to collect information on recently arrived migrants, to measure how they settle in Australia, and to provide reliable data for Commonwealth and other agencies to monitor and evaluate immigration and settlement policies, programs and services. Data collection for the first cohort, Phase 1 (SSDA NO. 1040) was completed in 1999. Interviews for the second cohort commenced in March 2000 for the purpose of evaluating the effects of immigration policy changes. Variables for the PA and MU surveys include: attitudes to their former country, and Australia; reasons for immigrating; sources of information about Australia and its States/Territories and why their chose the state they settled in; experience of and attitudes to different sources of information, support and assistance received before and after arrival, in areas including employment, education, accommodation, health and government assistance; awareness of the two year waiting period for social security benefits; education in and attainment of english language; future migration, citizenship and sponsorship plans; and indicators of happiness and satisfaction. Background variables for the PA's and MU's include country and date of birth, gender, marital status, languages spoken, occupation and employment, income and expenses, accomodation, visa and citizenship status. Background variables for the OH's include country and date of birth, gender, marital status, employment, visa and citizenship status, and income.

The Public Religion Research Institute/Brookings 2016 Immigration Survey investigates public views on immigrants and the immigration system, including concerns about the economic and cultural impact of immigrants coming to the U.S. today. It gauges support for various immigration policies, such as preventing Syrian refugees from entering the country and building a wall along the U.S.-Mexico border, and the feasibility of deporting immigrants illegally living in the U.S. Additionally, the survey has an extensive array of questions about the 2016 presidential primaries, including Democratic and Republican primary candidate preference and favorability ratings of the political parties, former presidents and current presidential candidates, including Hillary Clinton, Bernie Sanders, Donald Trump, Ted Cruz and John Kasich.

How can public opinion change in a pro-immigration direction? Recent studies suggest that those who support immigration care less about it than those who oppose it, which may explain why lawmakers don’t enact pro-immigration reforms even when voters are pro-immigration. To see if personal issue importance of immigration can be changed, I conducted a probability-based, nationally representative US survey experiment (N=3450) exposing respondents to verifiable arguments about the broad national benefits of expanding legal immigration and the costs of not doing so. Using new measures of issue importance, my descriptive results show only one-fifth of voters prioritizing the issue have a pro-immigration preference. Furthermore, while anti-immigration respondents prioritize policies regarding law enforcement and (reducing) future immigrants, pro-immigration respondents prioritize (helping) immigrants already here. The experimental results confirmed the provided arguments raised immigration’s importance among pro-immigration voters but didn’t backfire by mobilizing anti-immigration voters. Contrary to expectations, arguments increased pro-immigration policy preferences, but did not change voters’ subissue priorities within immigration or willingness to sign a petition. Overall, the treatment was effective beyond changing minds by shifting stated issue positions and priorities in a pro-immigration direction. It can thus be used in a non-targeted information campaign to promote pro-immigration reforms.

Employing a comparative experimental design drawing on over 18,000 interviews across 11 countries on 4 continents, we revisit the discussion about economic and cultural drivers of attitudes towards immigrants in advanced democracies. We manipulate the occupational status, skin tone and national origin of immigrants in short vignettes. Results are most consistent with a sociotropic economic threat thesis: higher-skilled immigrants are preferred to lower-skilled in all countries, and at all levels of native SES. We find, in contrast, little support for the labor market competition hypothesis, since respondents are not more opposed to immigrants in their own SES stratum. While skin tone itself has little effect in any country, immigrants from Muslim majority countries do elicit significantly lower levels of support, and racial animus remains a powerful force.

Abstract

ICMA and Cornell University partnered on this survey to gain a better understanding of local government policies, programs, and other activities related to immigrant populations in their communities.

Methodology

ICMA’s database of local governments includes approximately 11,000 U.S. municipalities and 2,900 U.S. counties with populations of 2,500 or greater, as well as a majority of municipalities and counties with populations under 2,500 (https://icma.org/survey-research).

The survey was distributed in the spring of 2018 to chief administrative officers of all municipalities with a population over 10,000 and counties of all populations across the United States. It was completed by 1,201 local governments, yielding an overall response rate of 17% with a 3% margin of error. Not all respondents answered every question.

Usage

Available documentation is contained in zip files labelled by survey year (see

Supporting Files). Documentation will always include the survey instrument; where available, documentation may also include codebooks and response rates.