This catalog is from the Texas Survey of discrete radio sources between -35.5 degrees and +71.5 degrees declination (B1950), which was carried out at a frequency of 365 MHz (82 cm wavelength) with the Texas Interferometer during the period from 1974 to 1983. The Survey lists accurate positions with internal errors of about an arcsecond, flux densities (which for strong point sources have internal errors of about 1% and total errors of about 5%), simple structure models and indications of spectrum and variability for 66841 sources. Results of comparisons with other data show that the Survey is 90% complete at 0.4 Jy and 80% complete at 0.25 Jy, is nearly free from spurious sources, and has a lobeshift incidence which is reasonably described by quality flags associated with each source. The University of Texas Radio Astronomy Observatory (UTRAO) carried out, with the Texas Interferometer, this 365 MHz survey of the sky, which was intended to be complete to a flux density level of 0.25 Jy, to provide positions with an accuracy of about 1 arcsec in both coordinates, to give accurate flux densities and indication of source variability, and to give rough structure models for each source. The observations began in 1974 and were completed in 1983. A preliminary version of one declination strip was published (Douglas et al., Publ. Dept. Astron. Univ. Texas, No. 17, Oct. 1980), and a number of intermediate versions of the survey were privately circulated for various purposes, pending completion of the final analysis and adjustment of the data. This database was created by the HEASARC in February 2001, based on CDS/ADC catalog VIII/42. This is a service provided by NASA HEASARC .

Texas Litter Database User submitted data. Survey polygons were created based on user submitted data.This product is for informational purposes only and may not be suitable for legal, engineering, or surveying purposes. It does not represent an official survey and represents only the approximate relative location of features and boundaries. Mapping may not necessarily reflect on-the-ground conditions. This product and those involved in its production make no claims as to the accuracy or reliability of the data, and neither assumes, nor will accept liability for their use. We highly recommend reviewing metadata files prior to interpreting these data. The user assumes the entire risk related to use of these data. Texas Litter Database is providing these data "as is," and Texas Litter Database will not be liable to you or to any third party for any direct, indirect, incidental, consequential, special or exemplary damages or lost profit resulting from any use or misuse of this data.The data stored in this application are considered to be in the public domain and may be used freely by the public so long as you do not: 1) Claim it is your own; 2) Use it in a manner that implies an endorsement or affiliation with KTB or the Texas Litter Database; or 3) Modify it in content and then present it as official KTB or Texas Litter Database material. Attribution of data and images to Texas Litter Database is requested. Citation information: Texas Litter Database. [2024]. Texas Trash and Litter Database. Texas. Accessed [9/16/2024].

This catalog is from the Texas Survey of discrete radio sources between -35.5 degrees and +71.5 degrees declination (B1950), which was carried out at a frequency of 365 MHz (82 cm wavelength) with the Texas Interferometer during the period from 1974 to 1983. The Survey lists accurate positions with internal errors of about an arcsecond, flux densities (which for strong point sources have internal errors of about 1% and total errors of about 5%), simple structure models and indications of spectrum and variability for 66841 sources. Results of comparisons with other data show that the Survey is 90% complete at 0.4 Jy and 80% complete at 0.25 Jy, is nearly free from spurious sources, and has a lobeshift incidence which is reasonably described by quality flags associated with each source. The University of Texas Radio Astronomy Observatory (UTRAO) carried out, with the Texas Interferometer, this 365 MHz survey of the sky, which was intended to be complete to a flux density level of 0.25 Jy, to provide positions with an accuracy of about 1 arcsec in both coordinates, to give accurate flux densities and indication of source variability, and to give rough structure models for each source. The observations began in 1974 and were completed in 1983. A preliminary version of one declination strip was published (Douglas et al., Publ. Dept. Astron. Univ. Texas, No. 17, Oct. 1980), and a number of intermediate versions of the survey were privately circulated for various purposes, pending completion of the final analysis and adjustment of the data. This database was created by the HEASARC in February 2001, based on CDS/ADC catalog VIII/42. This is a service provided by NASA HEASARC .

About this dataset

Context

The dataset tabulates the median household income in Texas County. It can be utilized to understand the trend in median household income and to analyze the income distribution in Texas County by household type, size, and across various income brackets.

Content

The dataset will have the following datasets when applicable

Please note: The 2020 1-Year ACS estimates data was not reported by the Census Bureau due to the impact on survey collection and analysis caused by COVID-19. Consequently, median household income data for 2020 is unavailable for large cities (population 65,000 and above).

• Texas County, OK Median Household Income Trends (2010-2021, in 2022 inflation-adjusted dollars)
• Median Household Income Variation by Family Size in Texas County, OK: Comparative analysis across 7 household sizes
• Income Distribution by Quintile: Mean Household Income in Texas County, OK
• Texas County, OK households by income brackets: family, non-family, and total, in 2022 inflation-adjusted dollars

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.

Inspiration

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/.

Interested in deeper insights and visual analysis?

Explore our comprehensive data analysis and visual representations for a deeper understanding of Texas County median household income. You can refer the same here

The research goals of the Baseline survey were to establish a panel of sophomore and senior high school students in the state of Texas that can be followed to examine the decision-making, knowledge and attitudes of students regarding post-high school life course decisions in light of the existence of the Top 10 legislation in Texas. The baseline survey was intended to establish benchmark measures. Follow-up surveys with a subsample of the students will be used to track the evolution of student decision-making about college attendance among those who attend college (full time or part time) immediately after high school graduation as well as those who decide to attend college one or more years after graduation. The Baseline survey objectives called for the collection of 33,000 to 35,000 completed interviews with sophomores and seniors in Texas public high schools using a sample survey design. A probability sample of 100 high schools was desired. Interviews were to be conducted in class using self-administered surveys. This would require district and high school cooperation with the survey effort. Analysis was desired at multiple levels of the education system -- students, schools and districts. Because of the multilevel nature of the analytic goals of the study, a census of sophomores and seniors was desired within the schools that were selected into the survey (to facilitate multilevel analyses). At the student level, analyses were desired separately by racial/ethnic subgroup: non-Hispanic Whites; African Americans; Asians and Hispanics. Moreover, analyses of likely college goers and non-college goers were desired. The Wave 2 Senior Study is the first follow-up with a subsample of baseline seniors. This phase tracks the evolution of student decision-making about college attendance among those who decide to attend college (full or part time) immediately after high school graduation, as well as those who decide to attend college one or more years after graduation. The survey also covers post high school activities including military enlistment, employment, civic activities, high school experiences, life events, self-esteem, and current living status. The following demographic subgroups will be used for comparative analyses: Non-Hispanic Whites, African Americans, Hispanics, and Asians. Additionally, separate analyses are desired for students attending college or technical school and students not attending college one year after attending high school. The Sophomore Wave 2 "Stayer Leaver" Survey is the first follow-up with a subsample of baseline sophomores. Most of the respondents were in their senior year of high school at the time of the interview. The focus of the survey is on the student's activities during the senior year and their plans after high school. An important component of this study was to partition the sophomore cohort into Stayers and Leavers. Stayers represent those students who have attended the same high school from the baseline survey in 2002 to the Wave 2 survey in 2004. Analysis of students who stayed at the same high school will determine whether students' knowledge of the Top 10 Percent law increased and whether they changed their college aspirations as they progressed through school. Leavers are those students that have changed schools or dropped out (and did not return to the same high school) between the baseline survey and the Wave 2 survey. Analysis of the leaver students will determine whether, how many, and which students deliberately changed schools in order to qualify for the benefits of the Top 10 Percent law. Students that had dropped out of school, regardless of whether they returned to school or not, were asked a series of questions that explored reasons for dropping out and activities during their time away from school. Students that dropped out, but then returned to the same high school are defined as Stayers. Those that dropped out and did not return to school, or attended a different school, are defined as Leavers. The Senior Wave 3 survey is the second follow-up interview with the subsample of 8,345 baseline seniors. The Wave 3 survey sought to determine students' educational pursuits and levels of attainment, and other life choices, four years after high school graduation. For students following a four-year path through college or university, graduation would occur in 2006, but a

About this dataset

Context

The dataset tabulates the Texas City median household income by race. The dataset can be utilized to understand the racial distribution of Texas City income.

Content

The dataset will have the following datasets when applicable

Please note: The 2020 1-Year ACS estimates data was not reported by the Census Bureau due to the impact on survey collection and analysis caused by COVID-19. Consequently, median household income data for 2020 is unavailable for large cities (population 65,000 and above).

• Texas City, TX median household income breakdown by race betwen 2011 and 2021
• Median Household Income by Racial Categories in Texas City, TX (2021, in 2022 inflation-adjusted dollars)

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.

Inspiration

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/.

Interested in deeper insights and visual analysis?

Explore our comprehensive data analysis and visual representations for a deeper understanding of Texas City median household income by race. You can refer the same here

The CTM (Communications & Technology Management) Customer Satisfaction Survey is completed by City Employees once yearly and used by CTM to tracker deliverables and performance measures. For more information on CTM, please visit https://www.austintexas.gov/department/information-technology

This dataset holds responses from surveys completed 2020 - Present with comments removed. NOTE: No survey was conducted in the year 2023.

Overview

This repository contains data needed to reproduce the analysis results from Chen et al. 2024. "Disaster Experience Mitigates the Partisan Divide on Climate Change: Evidence from Texas," Global Environmental Change. It is a study about climate change attitudes and experience with climate disasters across U.S. partisan groups. For details about the data, please see the published paper. Results reproduction code is available at https://github.com/tedhchen/floodStorm.

Data Set Details

texas_climate_attitudes.csv contains data from two waves of surveys of Democrats and Republicans living in Texas, with the following groups of variables.

climate change attitudes

self-reported exposure to climate disasters

scientific information treatment condition and checks

political leaning

sociodemographics and residential location

survey administration details

outage2021_data.RData contains power outage data for counties and cities in Texas during Feb. 2020 and Feb. 2021.

outage2021_data_multithreshold.RData contains power outage data for counties and cities in Texas during Feb. 2020 and Feb. 2021, aggregated to the county level based on different thresholds of uncertainty about which cities people live in.

gtrends_archive.RData contains Google Trends data for "hurricane", "astros", and "power", in Texas between 2017 and 2021.

References

Please reference the original study when using this data set.

Ted Hsuan Yun Chen, Christopher J. Fariss, Hwayong Shin, Xu Xu. 2024. "Disaster Experience Mitigates the Partisan Divide on Climate Change: Evidence from Texas." Global Environmental Change. doi:10.1016/j.gloenvcha.2024.102918.

Food insecurity is a chronic problem in the United States that annually affects over 40 million people under normal conditions. This difficult reality can dramatically worsen after disasters. Such events can disrupt both the supply and demand sides of food systems, restricting food distribution and access precisely when households are in a heightened need for food assistance. Often, retailers and food banks must react quickly to meet local needs under difficult post-disaster circumstances. Residents of Harris County and Southeast Texas experienced this problem after Hurricane Harvey made landfall on the Texas Gulf Coast in August 2017. The primary data collected by this project relate specifically to the supply side. The data attempt to identify factors that impacted the ability of suppliers to help ensure access to food, with a focus on fresh food access. Factors included impacts to people, property and products due to hurricane-related damage to infrastructure. Two types of food suppliers were the foci of this research: food aid agencies and food retailers. The research team examined food aid agencies in Southeast Texas with data collection methods that included secondary data analysis, a focus group and an online survey. The second population studied was food retailers with in-person surveys with store managers. Food retailers were randomly sampled in three Texas counties: Jefferson, Orange, and Harris. The data collection methods resulted in 32 food aid agency online survey responses and 210 completed food retail in-person surveys. Data were collected five to eight months after the event, which helped to increase the reliability and validity of the data. The time-sensitive nature of post-disaster data requires research teams to quickly organize their efforts before entering the field. The purpose of this project archive is to share the primary data collected, document methods, and to help future research teams reduce the amount of time needed for project development and reporting. This archive does not contain Personally or Business Identifiable Information.

description: This data set contains vector point information. The original data set was collected through Texas A&M University-Kingsville a helicopter survey was flown October 2-3rd of 2011 by Dr. Jenneke Visser (University of Louisiana at Lafayette) and Michael Mitchell. Data from this survey was used to produce this point file. Each feature includes the vegetation type at the point as well as the class used when classifying. Each feature is labeled either reference or accuracy assessment based on what it was used for during analysis. Flight was along north/south transects spaced 2000 meters apart from the Corpus Christi Bay to the Sabine River. Vegetative data was obtained at pre-determined stations spaced at 1500 meters along each transect. The stations were located using a Global Positioning System (GPS) and a computer running ArcGIS. This information was recorded manually onto field tally sheets and later this information was entered into a Microsoft Excel database, which was later imported into ArcGIS.; abstract: This data set contains vector point information. The original data set was collected through Texas A&M University-Kingsville a helicopter survey was flown October 2-3rd of 2011 by Dr. Jenneke Visser (University of Louisiana at Lafayette) and Michael Mitchell. Data from this survey was used to produce this point file. Each feature includes the vegetation type at the point as well as the class used when classifying. Each feature is labeled either reference or accuracy assessment based on what it was used for during analysis. Flight was along north/south transects spaced 2000 meters apart from the Corpus Christi Bay to the Sabine River. Vegetative data was obtained at pre-determined stations spaced at 1500 meters along each transect. The stations were located using a Global Positioning System (GPS) and a computer running ArcGIS. This information was recorded manually onto field tally sheets and later this information was entered into a Microsoft Excel database, which was later imported into ArcGIS.

The audit team surveyed City staff from January 29th, 2024 to February 14th, 2024. All employees who received the survey link were eligible to respond. See the full audit report at: https://www.austintexas.gov/sites/default/files/files/Auditor/Audit_Reports/Citywide_Retention_August_2024.pdf

This table contains data from the community survey conducted as part of an Audit of the City's Cultural Centers. We surveyed members of the Austin community using a survey developed by the audit team. Survey questions generally asked respondents' opinions on cultural center programs, staff, fees, and facilities. The survey opened January 3 and closed January 27, 2020. Austin community members were invited to take the survey through social media outreach and direct email invitations. The survey and outreach materials were written in English and translated into Spanish, Vietnamese, and Simplified Chinese. A total of 1,330 community members responded to the survey. Respondents were asked only to respond for centers they had visited in the last two years and could respond for more than one center. The comments detailed in this table were in response to open-ended survey items that allowed respondents to give opinions or suggestions about each center's programming, fees, staff, and facilities. Any open-ended responses answered in Spanish, Vietnamese, or Chinese were translated prior to analysis. To gauge the general sentiment of the responses, each was categorized as "Positive," "Negative," "Suggestion," or "N/A." During analysis, some comments were deemed more relevant to other open-ended survey items than the items for which they were originally written. These responses were re-assigned to the survey items that more closely aligned with their subject.

The North East 2nd Street Superfund site in Happy, Texas, overlies a groundwater plume of primarily carbon tetrachloride (CT) that is contained within an upper transmissive zone (EA Engineering, Science, and Technology, Inc., 2019) of the Ogallala aquifer. The Ogallala aquifer is contained at the site in Tertiary-age sediments of the Ogallala Formation, which are described by Nordstrom and Fallin (1989, p.10) as "tan, yellow, and reddish-brown, silty to coarse-grained sand mixed or alternating with yellow to red silty clay and variable sized gravel." The plume originated from the application of fire-retardant chemicals to the ground surface during the extinguishing of a fire at a grain storage elevator in 1962. As of 2022, the CT plume was 60 years old and extended approximately two thirds of a mile downgradient (northeast) from the site of the fire along a sloping clay bed. No hydraulic controls or boundaries are evident at the leading edge of the plume to constrain its further transport, and center-pivot irrigated agriculture and concentrated animal feeding operations are immediately downgradient across Interstate Highway 27. Because minimal sampling data have been collected, the question of whether the plume has reached a state of equilibrium is unknown. Slug tests were performed at 14 monitoring wells during February 7–9, 2023, near the North East 2nd Street Superfund site to characterize the range and distribution of hydraulic conductivity values in the upper transmissive zone of the Ogallala aquifer. Estimated hydraulic conductivities ranged from 0.27 to 12.97 ft/day, with the two northernmost wells (MW-27 and MW-28) tested exhibiting the lowest values.

About this dataset

Context

The dataset tabulates the Texas County household income by age. The dataset can be utilized to understand the age-based income distribution of Texas County income.

Content

The dataset will have the following datasets when applicable

Please note: The 2020 1-Year ACS estimates data was not reported by the Census Bureau due to the impact on survey collection and analysis caused by COVID-19. Consequently, median household income data for 2020 is unavailable for large cities (population 65,000 and above).

• Texas County, MO annual median income by age groups dataset (in 2022 inflation-adjusted dollars)
• Age-wise distribution of Texas County, MO household incomes: Comparative analysis across 16 income brackets

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.

Inspiration

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/.

Interested in deeper insights and visual analysis?

Explore our comprehensive data analysis and visual representations for a deeper understanding of Texas County income distribution by age. You can refer the same here

This dataset contains the source information for pumping rates for municipal and industrial (MnI) wells in the Santa Teresa, New Mexico network within the Rio Grande Transboundary Integrated Hydrologic Model (RGTIHM). In RGTIHM, these wells are considered the Santa Teresa, New Mexico (NMST) group.

About this dataset

Context

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.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

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

• Age Group: This column displays the age group for the Texas population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Texas is shown in the following column.
• Population (Female): The female population in the Texas is shown in the following column.
• Gender Ratio: Also known as the sex ratio, this column displays the number of males per 100 females in Texas for each age group.

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.

Inspiration

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/.

Recommended for further research

This dataset is a part of the main dataset for Texas Population by Gender. You can refer the same here

About this dataset

Context

The dataset tabulates the Texas town household income by gender. The dataset can be utilized to understand the gender-based income distribution of Texas town income.

Content

The dataset will have the following datasets when applicable

Please note: The 2020 1-Year ACS estimates data was not reported by the Census Bureau due to the impact on survey collection and analysis caused by COVID-19. Consequently, median household income data for 2020 is unavailable for large cities (population 65,000 and above).

• Texas, Wisconsin annual median income by work experience and sex dataset : Aged 15+, 2010-2022 (in 2022 inflation-adjusted dollars)
• Texas, Wisconsin annual income distribution by work experience and gender dataset (Number of individuals ages 15+ with income, 2021)

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.

Inspiration

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/.

Interested in deeper insights and visual analysis?

Explore our comprehensive data analysis and visual representations for a deeper understanding of Texas town income distribution by gender. You can refer the same here

About this dataset

Context

The dataset tabulates the median household income in Texas township. It can be utilized to understand the trend in median household income and to analyze the income distribution in Texas township by household type, size, and across various income brackets.

Content

The dataset will have the following datasets when applicable

Please note: The 2020 1-Year ACS estimates data was not reported by the Census Bureau due to the impact on survey collection and analysis caused by COVID-19. Consequently, median household income data for 2020 is unavailable for large cities (population 65,000 and above).

• Texas Township, Pennsylvania Median Household Income Trends (2010-2021, in 2022 inflation-adjusted dollars)
• Median Household Income Variation by Family Size in Texas Township, Pennsylvania: Comparative analysis across 7 household sizes
• Income Distribution by Quintile: Mean Household Income in Texas Township, Pennsylvania
• Texas Township, Pennsylvania households by income brackets: family, non-family, and total, in 2022 inflation-adjusted dollars

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.

Inspiration

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/.

Interested in deeper insights and visual analysis?

Explore our comprehensive data analysis and visual representations for a deeper understanding of Texas township median household income. You can refer the same here

About this dataset

Context

The dataset tabulates the population of Texas town by gender, including both male and female populations. This dataset can be utilized to understand the population distribution of Texas town across both sexes and to determine which sex constitutes the majority.

Key observations

There is a majority of male population, with 60.64% of total population being male. Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

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. No further analysis is done on the data reported from the Census Bureau.

Variables / Data Columns

• Gender: This column displays the Gender (Male / Female)
• Population: The population of the gender in the Texas town is shown in this column.
• % of Total Population: This column displays the percentage distribution of each gender as a proportion of Texas town total population. Please note that the sum of all percentages may not equal one due to rounding of values.

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.

Inspiration

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/.

Recommended for further research

This dataset is a part of the main dataset for Texas town Population by Race & Ethnicity. You can refer the same here

About this dataset

Context

The dataset tabulates the population of Texas by gender, including both male and female populations. This dataset can be utilized to understand the population distribution of Texas across both sexes and to determine which sex constitutes the majority.

Key observations

There is a slight majority of female population, with 50.1% of total population being female. Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

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. No further analysis is done on the data reported from the Census Bureau.

Variables / Data Columns

• Gender: This column displays the Gender (Male / Female)
• Population: The population of the gender in the Texas is shown in this column.
• % of Total Population: This column displays the percentage distribution of each gender as a proportion of Texas total population. Please note that the sum of all percentages may not equal one due to rounding of values.

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.

Inspiration

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/.

Recommended for further research

This dataset is a part of the main dataset for Texas Population by Race & Ethnicity. You can refer the same here