The 2015 U.S. Transgender Survey (USTS) was conducted by the National Center for Transgender Equality (NCTE) to examine the experiences of transgender adults in the United States. The USTS questionnaire was administered online and data were collected over a 34-day period in the summer of 2015, between August 19 and September 21. The final sample included respondents from all fifty states, the District of Columbia, American Samoa, Guam, Puerto Rico, and U.S. military bases overseas. The USTS Public Use Dataset (PUDS) features survey results from 27,715 respondents and details the experiences of transgender people across a wide range of areas, such as education, employment, family life, health, housing, and interactions with police and prisons. The survey instrument had thirty-two sections that covered a broad array of topics, including questions related to the following topics (in alphabetical order): accessing restrooms; airport security; civic participation; counseling; family and peer support; health and health insurance; HIV; housing and homelessness; identity documents; immigration; intimate partner violence; military service; police and incarceration; policy priorities; public accommodations; sex work; sexual assault; substance use; suicidal thoughts and behaviors; unequal treatment, harassment, and physical attack; and voting. Demographic information includes age, racial and ethnic identity, sex assigned at birth, gender and preferred pronouns, sexual orientation, language(s) spoken at home, education, employment, income, religion/spirituality, and marital status.

The TransPop study is the first national probability sample of transgender individuals in the United States (it also includes a comparative cisgender sample). A primary goal of this study was to provide researchers with a representative sample of transgender people in the United States. The study examines a variety of health-relevant domains including health outcomes and health behaviors, experiences with interpersonal and institutional discrimination, identity, transition-related experiences, and basic demographic characteristics (age, race/ethnicity, religion, political party affiliation, marital status, employment, income, location, sex, gender, and education). Co-investigators (in alphabetical order): Walter O. Bockting, Ph.D. (Columbia University); Jody L. Herman, Ph.D. (UCLA); Sari L. Reisner, Ph.D. (Harvard University and The Fenway Institute, Fenway Health).

Given that an estimated 0.6% of the U.S. population is transgender (trans) and that large health disparities for this population have been documented, government and research organizations are increasingly expanding measures of sex/gender to be trans inclusive. Options suggested for trans community surveys, such as expansive check-all-that-apply gender identity lists and write-in options that offer maximum flexibility, are generally not appropriate for broad population surveys. These require limited questions and a small number of categories for analysis. Limited evaluation has been undertaken of trans-inclusive population survey measures for sex/gender, including those currently in use. Using an internet survey and follow-up of 311 participants, and cognitive interviews from a maximum-diversity sub-sample (n = 79), we conducted a mixed-methods evaluation of two existing measures: a two-step question developed in the United States and a multidimensional measure developed in Canada. We found very low levels of item missingness, and no indicators of confusion on the part of cisgender (non-trans) participants for both measures. However, a majority of interview participants indicated problems with each question item set. Agreement between the two measures in assessment of gender identity was very high (K = 0.9081), but gender identity was a poor proxy for other dimensions of sex or gender among trans participants. Issues to inform measure development or adaptation that emerged from analysis included dimensions of sex/gender measured, whether non-binary identities were trans, Indigenous and cultural identities, proxy reporting, temporality concerns, and the inability of a single item to provide a valid measure of sex/gender. Based on this evaluation, we recommend that population surveys meant for multi-purpose analysis consider a new Multidimensional Sex/Gender Measure for testing that includes three simple items (one asked only of a small sub-group) to assess gender identity and lived gender, with optional additions. We provide considerations for adaptation of this measure to different contexts.

The IPUMS Contextual Determinants of Health (CDOH) data series includes measures of disparities, policies, and counts, by state or county, for historically marginalized populations in the United States including Black, Asian, Hispanic/Latina/o/e/x, and LGBTQ+ persons, and women. The IPUMS CDOH data are made available through ICPSR/DSDR for merging with the National Couples' Health and Time Study (NCHAT), United States, 2020-2021 (ICPSR 38417) by approved restricted data researchers. All other researchers can access the IPUMS CDOH data via the IPUMS CDOH website. Unlike other IPUMS products, the CDOH data are organized into multiple categories related to Race and Ethnicity, Sexual and Gender Minority, Gender, and Politics. The CDOH measures were created from a wide variety of data sources (e.g., IPUMS NHGIS, the Census Bureau, the Bureau of Labor Statistics, the Movement Advancement Project, and Myers Abortion Facility Database). Measures are currently available for states or counties from approximately 2015 to 2020. The Sexual and Gender measures in this release include the proportion of a state's population identifying as LGBTQ+ in the U.S. Census Bureau's Household Pulse Survey, Phases 3.2 (07/21/2021-10/11/2021), 3.3 (12/01/2021-02/07/2022), 3.4 (03/02/2022-05/09/2022), and 3.5 (06/01/2022-08/08/2022). To work with the IPUMS CDOH data, researchers will need to first merge the NCHAT data to DS1 (MATCH ID and State FIPS Data). This merged file can then be linked to the IPUMS CDOH datafile (DS2) using the STATEFIPS variable.

Replication instructions using STATA for forthcoming article in PS.

Full text and metadata for articles used in the analyses for "Locating the Asymmetry in Information Flow between Local and National Media on Transgender Discourses", currently under review for a special issue on transphobic disinformation from the Bulletin of Applied Transgender Studies. Columns: Unnamed:0 (dataset index), media_name (media outlet where the article was published), publish_date (date of publication in YYYY-mm-DD HH:MM:SS format), title (article title), url (article URL as obtained from MediaCloud), subtitle (article subtitle), text (article text), sent_count (number of sentences), domain (domain from which the article was obtained), gender_label (does this article contain the string "gender"?), media_group (state-level or national media collection as defined in the article -- one of {'texas', 'ohio', 'illinois', 'florida', 'california', 'newyork', 'nytimes.com', 'foxnews.com'}) Abstract: Mainstream news outlets set the agenda and terms of discussion for public discourse. As transgender people experience increasingly vitriolic attacks on their fundamental rights in the U.S., understanding the dynamics governing media discussions of transgender people becomes even more salient. The interplay between news outlets with different geographical scopes—national and local—is an important aspect of media discourse circulation. Guided by inter-media agenda-setting theory, we use transfer entropy, a measure of information flow, to quantify whether, and how, transgender discourses spread across local and national media. We find that transgender discourses on a particular topic propagate from national to state-level outlets; however, we find that this process often involves two steps: national outlets influence particular state(s), which, in turn, influence the other states. Therefore, local outlets play a more complex role in agenda-setting for transgender discourses than previously thought. We combine our quantitative study of information flow between two national outlets and six state-level news collections with two comprehensive qualitative case studies, including recommendations for interventions to improve the state of the news ecosystem, to shed light on the circulation and nature of various transgender discourses across different geographical scopes within the U.S. media landscape.

Demographic characteristics of study participants, comparing transgender women and cisgender men.

This dataset contains surveillance study estimates for population size, HIV prevalence, and ART coverage among female sex workers (FSW), men who have sex with men (MSM), people who inject drugs (PWID), and transgender men and women (TGM/W) from 2010-2023. It was created to support the UNAIDS Estimates Key Population Workbook for use by HIV estimates teams in sub-Saharan Africa. Key population surveillance reports, including Ministry of Health-led biobehavioural surveys, mapping studies, and academic studies were used to populate the database.

The dataset was populated using existing key population size estimate databases including:

• UNAIDS Key Population Atlas
• US Centers for Disease Control and Prevention surveillance database
• Global Fund against HIV/AIDS, TB, and Malaria surveillance database
• Global.HIV database
• Systematic review databases among MSM (Stannah et al, 2019 and Stannah et al., 2023) and PWID (Degenhardt et al., 2023)

and was additionally supplemented by a literature review of peer-reviewed and grey literature sources.

This catalog record includes detailed variable-level descriptions, enabling data discovery and comparison. The data are not archived at ICPSR. Users should consult the data owners (via the Roper Center for Public Opinion Research) directly for details on obtaining the data. This collection includes variable-level metadata of the 2017 Discrimination in the United States Survey, a survey from Harvard T.H. Chan School of Public Health/Robert Wood Johnson Foundation/National Public Radio conducted by Social Science Research Solutions (SSRS). Topics covered in this survey include:Belief in discrimination against racial/ethnic minoritiesDiscrimination against men/womenDiscrimination against lesbian/gay/bisexual peopleDiscrimination against transgender peopleBiggest problem with discrimination against lesbian/gay/bisexual/transgender/queer (LGBTQ) peopleLive on tribal landsLocal/tribal government Discrimination based on raceDiscrimination based on genderDiscrimination based on being part of the LGBTQ communityReasons for avoiding seeking health careExperiences with discriminationDiscrimination resulting in fewer employment opportunitiesDiscrimination resulting in unequal payDiscrimination resulting in fewer chances for quality educationEncouraged to/discouraged from applying to collegePredominant groups living in respondent's areaNot feeling/being welcomed in neighborhood due to raceNot feeling/being welcomed in neighborhood due to being part of LGBTQ communityConsidered moving to another area because of discriminationComparing respondent's area to othersPolice using unnecessary force based on race/ethnicityAvoiding activities to avoid discrimination from policeExperiences caused by racial discriminationExperiences caused by gender discriminationExperiences caused by discrimination against LGBTQ communityLocal police force does/does not reflect racial/ethnic background of communityContacted by political representatives about voting/supporting causeRegistered to voteVote in 2016 presidential electionPhysical health statusMental health statusDisabilityChronic illnessVeterans AdministrationIndian Health ServicesSeeking health careInsurance coverageThe data and documentation files for this survey are available through the Roper Center for Public Opinion Research [Roper #31114655]. Frequencies and summary statistics for the 235 variables from this survey are available through the ICPSR social science variable database and can be accessed from the Variables tab.

Participating studies, enrolled populations, study site, number of transgender women study participants.

Substance use during reference period1, comparing transgender women and cisgender men.

HIV risk behaviors during reference period1, comparing transgender women and cisgender men.

HIV prevalence and odds ratios for trans feminine individuals compared to all adults (age 15+) in US-based studies, according to whether data was collected before or after the introduction of PrEP (2012).

BackgroundTransgender women (TGW) experience unique life traumas that may perpetuate negative sexual health outcomes, such as high rates of HIV and sexually transmitted infections. This is especially true in the US Deep South, where structural and cultural factors further marginalize gender minorities as well as people of color. Providing trauma informed care to TGW in sexual and reproductive health (SRH) settings is necessary, but strategies to measure traumatic experiences among this population are needed. We aimed to develop and psychometrically assess a multi-item survey instrument evaluating trauma-specific histories for use with TGW in SRH settings and assess differences in reported trauma histories between White and non-White TGW in the US Deep South.MethodsSurvey items were developed using three existing general trauma instruments (Life Events Checklist for DSM-5, Trauma History Questionnaire, Stressful Life Events Screening Questionnaire) and results from qualitative interviews with TGW. Survey items fell into five trauma subdomains: healthcare-related experiences, sexual/relationship experiences, crime-related/general trauma experiences, gender dysphoria experiences, and discrimination experiences. A computer-assisted self-interviewing instrument was administered to TGW. Descriptive statistics were calculated. Cronbach’s alpha coefficients (α) were calculated for each subdomain to determine internal consistency. Results were stratified by race (White versus non-White), and means of trauma subdomain results were compared.ResultsBetween April 2024–September 2024, 105 TGW enrolled and completed the instrument. Median participant age was 30 years (range 19–73), and most identified as White (n = 55) or Black/African American (n = 40). Mental health conditions such as depression (n = 64) and anxiety (n = 59) were common. Psychometric analyses revealed acceptable internal constancy for the subdomains of healthcare-related experiences (α = 0.787), crime-related/general trauma experiences (α = 0.870), and discrimination experiences (α = 0.870). Subdomains measuring sexual/relationship experiences and gender dysphoria had lower reliability (α = 0.597 and 0.499, respectively). Trauma in all subdomains was common among all participants, with traumatic sexual and relationship experiences (p = 0.004) and crime-related and general trauma experiences (p 

Estimated odds ratios and 95% CIs from logistic regression models predicting suicidality, transwomen.

HIV care continuum outcomes during reference period1, comparing transgender women and cisgender men.

Characteristics of screened and enrolled participants.