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TwitterIn 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.
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TwitterIn 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.
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TwitterThe 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).
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TwitterThis 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.
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TwitterThis 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.
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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.
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Comprehensive dataset containing 2 verified Birth certificate service businesses in Texas, United States with complete contact information, ratings, reviews, and location data.
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The dataset tabulates the population of Texas by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Texas. The dataset can be utilized to understand the population distribution of Texas by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Texas. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Texas.
Key observations
Largest age group (population): Male # 10-14 years (1.12 million) | Female # 10-14 years (1.08 million). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Age groups:
Scope of gender :
Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.
Variables / Data Columns
Good to know
Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.
Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
This dataset is a part of the main dataset for Texas Population by Gender. You can refer the same here
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TwitterThis 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.
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Comprehensive dataset containing 30 verified Birth control center businesses in Texas, United States with complete contact information, ratings, reviews, and location data.
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IntroductionIn Texas, the adolescent birth rate is higher than the national average and STIs have steadily increased over the last decade. Sex education is not mandated in Texas and the majority of public schools provide an abstinence-based sex education. Comprehensive sexuality education (CSE) programs are widely endorsed by national and global health organizations and research has shown that they are more effective in reducing poor sexual health outcomes than abstinence-based programs. The purpose of this study is to identify barriers and facilitators to implementing CSE at local and state levels in Texas.MethodsQualitative study design consisting of ten semi-structured interviews with eleven key informants (n = 11) conducted in 2021.ResultsThree barriers- ideological opposition to CSE, discrimination against LGBTQ+ people, myths and misconceptions about CSE- and two facilitators- champions, collaboration with community stakeholders- to implementing CSE policy were identified.ConclusionStudy findings provide insight into the opposition faced by sex education advocates, which often stems from myths and misperceptions of CSE content and the stigmatization of sexual and gender minoritized groups. Parents, youth, medical professionals, and academic researchers are instrumental in dispelling sex education myths and misperceptions and engaging with community stakeholders.
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Context
The dataset tabulates the population of West Lake Hills by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for West Lake Hills. The dataset can be utilized to understand the population distribution of West Lake Hills by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in West Lake Hills. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for West Lake Hills.
Key observations
Largest age group (population): Male # 60-64 years (220) | Female # 15-19 years (220). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Age groups:
Scope of gender :
Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.
Variables / Data Columns
Good to know
Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.
Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
This dataset is a part of the main dataset for West Lake Hills Population by Gender. You can refer the same here
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Context
The dataset tabulates the population of Texas town by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Texas town. The dataset can be utilized to understand the population distribution of Texas town by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Texas town. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Texas town.
Key observations
Largest age group (population): Male # 40-44 years (359) | Female # 60-64 years (71). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Age groups:
Scope of gender :
Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.
Variables / Data Columns
Good to know
Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.
Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
This dataset is a part of the main dataset for Texas town Population by Gender. You can refer the same here
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Context
The dataset tabulates the population of Tyler by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Tyler. The dataset can be utilized to understand the population distribution of Tyler by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Tyler. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Tyler.
Key observations
Largest age group (population): Male # 20-24 years (4,835) | Female # 20-24 years (4,840). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Age groups:
Scope of gender :
Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.
Variables / Data Columns
Good to know
Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.
Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
This dataset is a part of the main dataset for Tyler Population by Gender. You can refer the same here
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Context
The dataset tabulates the population of Texas County by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Texas County. The dataset can be utilized to understand the population distribution of Texas County by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Texas County. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Texas County.
Key observations
Largest age group (population): Male # 20-24 years (969) | Female # 5-9 years (945). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Age groups:
Scope of gender :
Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.
Variables / Data Columns
Good to know
Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.
Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
This dataset is a part of the main dataset for Texas County Population by Gender. You can refer the same here
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License information was derived automatically
Context
The dataset tabulates the population of Texas County by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Texas County. The dataset can be utilized to understand the population distribution of Texas County by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Texas County. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Texas County.
Key observations
Largest age group (population): Male # 60-64 years (992) | Female # 60-64 years (956). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Age groups:
Scope of gender :
Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.
Variables / Data Columns
Good to know
Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.
Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
This dataset is a part of the main dataset for Texas County Population by Gender. You can refer the same here
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Context
The dataset tabulates the population of Vidor by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Vidor. The dataset can be utilized to understand the population distribution of Vidor by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Vidor. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Vidor.
Key observations
Largest age group (population): Male # 45-49 years (448) | Female # 60-64 years (543). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Age groups:
Scope of gender :
Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.
Variables / Data Columns
Good to know
Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.
Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
This dataset is a part of the main dataset for Vidor Population by Gender. You can refer the same here
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Context
The dataset tabulates the population of Texas charter township by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Texas charter township. The dataset can be utilized to understand the population distribution of Texas charter township by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Texas charter township. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Texas charter township.
Key observations
Largest age group (population): Male # 40-44 years (1,017) | Female # 35-39 years (840). Source: U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.
Age groups:
Scope of gender :
Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.
Variables / Data Columns
Good to know
Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.
Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
This dataset is a part of the main dataset for Texas charter township Population by Gender. You can refer the same here
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Context
The dataset tabulates the population of Texas township by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Texas township. The dataset can be utilized to understand the population distribution of Texas township by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Texas township. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Texas township.
Key observations
Largest age group (population): Male # 45-49 years (128) | Female # 70-74 years (187). Source: U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.
Age groups:
Scope of gender :
Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.
Variables / Data Columns
Good to know
Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.
Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
This dataset is a part of the main dataset for Texas township Population by Gender. You can refer the same here
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Context
The dataset tabulates the population of Mcgregor by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Mcgregor. The dataset can be utilized to understand the population distribution of Mcgregor by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Mcgregor. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Mcgregor.
Key observations
Largest age group (population): Male # 10-14 years (420) | Female # 30-34 years (429). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Age groups:
Scope of gender :
Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.
Variables / Data Columns
Good to know
Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.
Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
This dataset is a part of the main dataset for Mcgregor Population by Gender. You can refer the same here
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TwitterIn 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.