This dataset contains the infant mortality rates by ZIP Code for ZIP Codes within Travis County for combined years 2011-2014. It was created from the complete Texas Public Use Data File (PUDF) downloaded from UT System Population Health at: http://www.utsystempophealth.org/imr-texas/

In the period from 2018 to 2022, the state with the highest number of deaths from sudden unexpected infant death (SUID) in the United States was Texas. In Texas, there were around 1,671 sudden unexpected infant deaths from 2018 to 2022. This statistic shows the number of sudden unexpected infant deaths in the U.S. from 2018 to 2022, by state.

In 2021, around 373,594 babies were born while 267,651 people died in the state of Texas in the United States. In comparison, there were 34,333 deaths and 35,670 babies born in Connecticut in that same year.

The Texas Birth Defects Registry (TBDR) of the Texas Department of State Health Services (TDSHS) is an active surveillance system that maintains information on infants with structural and chromosomal birth defects born to mothers residing in Texas at the time of birth (Texas Department of State Health Services, 2019). TBDR staff review medical records to identify and abstract relevant case information, which then undergoes extensive quality checks (Texas Department of State Health Services, 2019). All diagnoses are made prenatally or within one year after delivery (Texas Department of State Health Services, 2019). Data on cases was obtained from the TBDR. Information on live births for the denominators and on covariates for cases and denominators was obtained from the Texas Department of State Health Services Center for Health Statistics. This research was approved by the Texas Department of State Health Services Institutional Review Board and US EPA Human Subjects Review.

The Environmental Quality Index (EQI) estimates overall county-level environmental quality for the entire US for 2006-2010. The construction of the EQI is described elsewhere (United States Environmental Protection Agency, 2020). Briefly, the national data was compiled to represent simultaneous, cumulative environmental quality across each of the five domains: air (43 variables) representing criteria and hazardous air pollutants; water (51 variables), representing overall water quality, general water contamination, recreational water quality, drinking water quality, atmospheric deposition, drought, and chemical contamination; land (18 variables), representing agriculture, pesticides, contaminants, facilities, and radon; built (15 variables), representing roads, highway/road safety, public transit behavior, business environment, and subsidized housing environment; and sociodemographic (12 variables), representing socioeconomics and crime. The variables in each domain specific index were reduced using principal component analysis (PCA), with the first component retained as that domain’s index value. The domain specific indices were valence corrected to ensure that the directionality of the variables was consistent with higher values suggesting poorer environmental quality. The domain specific indices were then processed through a second PCA and the first index retained as the overall EQI. The overall and domain specific EQI indices are publicly available through the US EPA (United States Environmental Protection Agency: https://edg.epa.gov/data/Public/ORD/NHEERL/EQI). This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: Human health data are not available publicly. EQI data are available at: https://edg.epa.gov/data/Public/ORD/NHEERL/EQI. Format: Data are stored as csv files.

This dataset is associated with the following publication: Krajewski, A., K. Rappazzo, P. Langlois, L. Messer, and D. Lobdell. Associations between cumulative environmental quality and ten selected birth defects in Texas. Birth Defects Research. John Wiley & Sons, Inc., Hoboken, NJ, USA, 113(2): 161-172, (2020).

Additional file 12. This file contains our estimated single-year-of-age fractional pregnancy outcomes for the entire state of of Texas for the year 2010.

Additional file 5. This file contains our estimated single-year-of-age live births for the 254 counties of Texas for the year 2010.

In 2023, the number of births in Texas amounted to ******* births, from which approximately ******* were delivered by Cesarean. Indeed, the Cesarean delivery rate in Texas stood at **** percent. This statistic shows the percentage of preterm birth and cesarean delivery in Texas in 2023.

Comprehensive dataset of 66 Birth control centers in Texas, 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.

This file contains the code and data to replicate the analyses in ‘Undue Burden Beyond Texas: An Analysis of Abortion Clinic Closures, Births, And Abortions in Wisconsin’ (Venator and Fletcher, 2021) that are based on public use data. Analyses from the paper based on birth rates are excluded from this archive; to complete these analyses, researchers must request access for the restricted-access NVSS birth records files.

This map shows what country naturalized US citizens were born in using the predominance mapping style. The area with the highest amount of foreign born naturalized US citizens is shown by color. Areas are: Africa, Asia, Europe, Latin America, Northern America, and Oceania.Data is available in 5-year estimates at the state, county, and tract level for the entire US.The data in this map contains the most recent American Community Survey (ACS) data from the U.S. Census Bureau. The Living Atlas layer in this map updates annually when the Census releases their new figures. To learn more, visit this FAQ, or visit the ACS website.

Additional file 9. This file contains our estimated single-year-of-age fetal losses for the 254 counties of Texas for the year 2010.

This statistic shows the 50 metropolitan areas with the highest birth rate in the United States in 2023. Birth rate is the total number of live births per 1,000 of a population in a particular year. The Hinesville metro area in Georgia was ranked first with 18.69 births per 1,000 residents in 2023.

This statistic describes the percentage of births in the United States that were preterm births in 2016, by state. According to the data among women in Texas who gave birth in 2016, 10.41 percent had preterm births.

Additional file 1. This file contains the source information of all the input files we provide.

IntroductionGiven limited evidence of previous studies, we evaluated the role of environmental justice (EJ) burden (i.e., a neighborhood characterized by both increased environmental burden and socioeconomic deprivation) in Black-White disparities in spontaneous preterm birth (sPTB) in Harris County, Texas and compared results that evaluated neighborhood-level socioeconomic deprivation alone.MethodsWe conducted a retrospective analysis using PeriBank, a database and biospecimen repository of gravidae giving birth at two hospitals in the Texas Medical Center. We included 3,703 non-Hispanic Black and 5,475 non-Hispanic white gravidae who were U.S.-born, delivered from August 2011-December 2020, and resided in Harris County, TX. We used data from the U.S. EPA EJScreen to characterize the EJ burden of participant's zip code of residence from fine particulate matter (PM2.5), ozone, and proximity to National Priorities List (NPL) sites and calculated zip-code level Area Deprivation Index (ADI). We assessed the contribution of neighborhood-level variables to the Black-White disparity in sPTB by evaluating attenuation of the odds ratio (OR) representing the effect of race in multivariable logistic regression models, controlling for individual-level characteristics. We also conducted race-stratified analyses between each neighborhood variable and sPTB. Exposure indices were treated as continuous variables; in stratified models, ORs and 95% Confidence Intervals (CIs) are presented per 10-unit increase in the neighborhood variable.ResultsAccounting for individual-level variables, Black gravidae had 79% higher odds of sPTB than white gravidae (OR = 1.79, 95%CI = 1.32, 2.44); the disparity was moderately attenuated when accounting for EJ burden or ADI (ORs ranged from 1.58 to 1.69). Though we observed no association between any of the EJ burden indices and sPTB among white gravidae, we found increased risks among Black gravidae, with ORs of similar magnitude for each EJ variable. For example, Black gravidae experienced 17% increased odds of sPTB associated with a 10-unit increase in the EJ burden index for PM2.5 (OR = 1.17, 95%CI = 0.97, 1.40). No racial differences were observed in the association of ADI with sPTB.DiscussionThough we observed limited evidence of the contribution of living in EJ neighborhoods to the Black-White disparity in sPTB, our study suggests living in an EJ neighborhood may differentially impact Black and white gravidae.

IntroductionThe Maternal and Infant Environmental Health Riskscape (MIEHR) Center was established to address the interplay among chemical and non-chemical stressors in the biological, physical, social, and built environments that disproportionately impact perinatal health among Black pregnant people in a large and diverse urban area with documented disparities in the U.S.MethodsThe MIEHR cohort is recruiting non-Hispanic Black and non-Hispanic white pregnant people who deliver their infants at major obstetric hospitals in Houston, Texas. At enrollment, all participants are asked to provide urine samples for chemical [metals, cotinine, and polycyclic aromatic hydrocarbons (PAHs)] analyses and blood samples. A subset of the cohort is asked to provide oral and vaginal swabs, and fecal samples. Questionnaire and electronic health record data gather information about residential address history during pregnancy, pregnancy history and prenatal care, sociodemographic and lifestyle factors, experiences of discrimination and stress, and sources of social support. Using information on where a participant lived during their pregnancy, features of their neighborhood environment are characterized. We provide summaries of key individual- and neighborhood-level features of the entire cohort, as well as for Black and white participants separately.ResultsBetween April 2021 and February 2023, 1,244 pregnant people were recruited. Nearly all participants provided urine samples and slightly less than half provided blood samples. PAH exposure patterns as assessed on 47% of participants thus far showed varying levels depending on metabolite as compared to previous studies. Additionally, analyses suggest differences between Black and white pregnant people in experiences of discrimination, stress, and levels of social support, as well as in neighborhood characteristics.DiscussionOur findings to date highlight racial differences in experiences of discrimination, stress, and levels of support, as well as neighborhood characteristics. Recruitment of the cohort is ongoing and additional neighborhood metrics are being constructed. Biospecimens will be analyzed for metals and PAH metabolites (urine samples), miRNAs (plasma samples) and the microbiome (oral swabs). Once enrollment ends, formal assessments are planned to elucidate individual- and neighborhood-level features in the environmental riskscape that contribute to Black-White disparities in perinatal health.

BackgroundEmerging evidence suggests newborn screening analytes may yield insights into the etiologies of birth defects, yet no effort has evaluated associations between a range of newborn screening analytes and birth defects.MethodsThis population-based study pooled statewide data on birth defects, birth certificates, and newborn screening analytes from Texas occurring between January 1, 2007 and December 31, 2009. Associations between a panel of thirty-six newborn screening analytes, collected by the statewide Texas Newborn Screening Program, and the presence of a birth defect, defined as at least one of 39 birth defects diagnoses recorded by the Texas Birth Defects Registry, were assessed using regression analysis.FindingsOf the 27,643 births identified, 20,205 had at least one of the 39 birth defects of interest (cases) as identified by the Texas Birth Defects Registry, while 7,438 did not have a birth defect (controls). Among 1,404 analyte-birth defect associations evaluated, 377 were significant in replication analysis. Analytes most consistently associated with birth defects included the phenylalanine/tyrosine ratio (N = 29 birth defects), tyrosine (N = 28 birth defects), and thyroxine (N = 25 birth defects). Birth defects most frequently associated with a range of analytes included gastroschisis (N = 29 analytes), several cardiovascular defects (N = 26 analytes), and spina bifida (N = 23 analytes).ConclusionsSeveral significant and novel associations were observed between newborn screening analytes and birth defects. While some findings could be consequences of the defects themselves or to the care provided to infants with these defects, these findings could help to elucidate mechanisms underlying the etiology of some birth defects.

Top 50 significanta newborn screening analytes across all birth defects.