About this dataset

Context

The dataset tabulates the population of Texas City by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Texas City. The dataset can be utilized to understand the population distribution of Texas City by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Texas City. 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 City.

Key observations

Largest age group (population): Male # 25-29 years (2,170) | Female # 25-29 years (2,237). Source: U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 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 City population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Texas City is shown in the following column.
• Population (Female): The female population in the Texas City 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 City 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 City Population by Gender. You can refer the same here

In 2021, the five most popular cities in Texas, U.S. for Gen Z renters had applications from this generation ranging from ** to ** percent. Denton had the highest share of Gen Z renter applicants of 47percent.

Gen Z apartment seekers have shown consistently high interest in all Texas cities, compared to New York or California. This can be explained with the fact that Texas is one of the states with the youngest population in the United States.

About this dataset

Context

This list ranks the 1208 cities in the Texas by White population, as estimated by the United States Census Bureau. It also highlights population changes in each cities over the past five years.

Content

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

• 2019-2023 American Community Survey 5-Year Estimates
• 2018-2022 American Community Survey 5-Year Estimates
• 2017-2021 American Community Survey 5-Year Estimates
• 2016-2020 American Community Survey 5-Year Estimates
• 2015-2019 American Community Survey 5-Year Estimates

Variables / Data Columns

• Rank by White Population: This column displays the rank of cities in the Texas by their White population, using the most recent ACS data available.
• cities: The cities for which the rank is shown in the previous column.
• White Population: The White population of the cities is shown in this column.
• % of Total cities Population: This shows what percentage of the total cities population identifies as White. Please note that the sum of all percentages may not equal one due to rounding of values.
• % of Total Texas White Population: This tells us how much of the entire Texas White population lives in that cities. Please note that the sum of all percentages may not equal one due to rounding of values.
• 5 Year Rank Trend: TThis column displays the rank trend across the last 5 years.

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/.

About this dataset

Context

This list ranks the 964 cities in the Texas by Indian population, as estimated by the United States Census Bureau. It also highlights population changes in each city over the past five years.

Content

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

• 2019-2023 American Community Survey 5-Year Estimates
• 2014-2018 American Community Survey 5-Year Estimates
• 2009-2013 American Community Survey 5-Year Estimates

Variables / Data Columns

• Rank by Indian Population: This column displays the rank of city in the Texas by their Indian population, using the most recent ACS data available.
• City: The City for which the rank is shown in the previous column.
• Indian Population: The Indian population of the city is shown in this column.
• % of Total City Population: This shows what percentage of the total city population identifies as Indian. Please note that the sum of all percentages may not equal one due to rounding of values.
• % of Total Texas Indian Population: This tells us how much of the entire Texas Indian population lives in that city. Please note that the sum of all percentages may not equal one due to rounding of values.
• 5 Year Rank Trend: This column displays the rank trend across the last 5 years.

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/.

Filename: Incidents2019_2020.csv Description: Problem Type, Service Time and Call Disposition of each EMS incident in 2019-2020. · Problem states the problem type of the emergency. · Time_PhonePickUp_Date states the date of the EMS call. · Time_First_Unit_Assigned (in minutes) states the length of time, in minutes, after the EMS call was picked up and before the first ambulance received notification of the emergency and was assigned. · Time_First_Unit_Enroute (in minutes) states the length of time, in minutes, after the first ambulance was assigned and before the ambulance set off toward the emergency. · Time_First_Unit_Arrived (in minutes) states the length of time, in minutes, after the first ambulance wheels began to roll and before the ambulance arrived at the emergency and the wheels stopped. · Call_Disposition states the final disposition of the event, such as cancelled call, transported to hospital, etc. If the ambulance transported the patient to a hospital, the name of the hospital would be specified. If the emergency call was from another government agency, for example, the Austin Fire Department, then the call disposition would be labelled as ”referred”. Other types of call dispositions fall into the category of ”defunct calls”; in this case, the call disposition of an incident would be labelled as its respective subcategory. · Call_Disposition states the acuity of the emergency. A 1 indicates highest priority and a 15 would indicate least priority.

This graph shows the most popular sports radio stations in Texas, United States as of November 2017, sorted by average listeners. According to the source, KRLD-FM, marketed as The Fan, in Dallas was the most popular sports radio station in Texas as of November 2017, with around ***** thousand listeners on average.

This represents the top 10 searches that visitors have conducted on via Google Search. The data represents the most recent one-month period.

*Note: On July 1, 2023, standard Universal Analytics properties will stop processing data.

About this dataset

Context

This list ranks the 9 cities in the Texas County, MO by White population, as estimated by the United States Census Bureau. It also highlights population changes in each cities over the past five years.

Content

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

• 2019-2023 American Community Survey 5-Year Estimates
• 2018-2022 American Community Survey 5-Year Estimates
• 2017-2021 American Community Survey 5-Year Estimates
• 2016-2020 American Community Survey 5-Year Estimates
• 2015-2019 American Community Survey 5-Year Estimates

Variables / Data Columns

• Rank by White Population: This column displays the rank of cities in the Texas County, MO by their White population, using the most recent ACS data available.
• cities: The cities for which the rank is shown in the previous column.
• White Population: The White population of the cities is shown in this column.
• % of Total cities Population: This shows what percentage of the total cities population identifies as White. Please note that the sum of all percentages may not equal one due to rounding of values.
• % of Total Texas County White Population: This tells us how much of the entire Texas County, MO White population lives in that cities. Please note that the sum of all percentages may not equal one due to rounding of values.
• 5 Year Rank Trend: TThis column displays the rank trend across the last 5 years.

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/.

This data set includes cities in the United States, Puerto Rico and the U.S. Virgin Islands. These cities were collected from the 1970 National Atlas of the United States. Where applicable, U.S. Census Bureau codes for named populated places were associated with each name to allow additional information to be attached. The Geographic Names Information System (GNIS) was also used as a source for additional information. This is a revised version of the December, 2003, data set.

This layer is sourced from maps.bts.dot.gov.

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.

Filename: ts_2019_2020.csv Description: Time series of the daily frequency of EMS incidents from 2019 to 2020 total_ts: the daily frequency of all EMS incidents. defunct_calls_pandemic_removed_ts: the daily frequency of non-pandemic defunct EMS incidents. Pandemic_defunct_calls_ts: the daily frequency of pandemic defunct EMS incidents. Incidents_pandemic_removed_ts: the daily frequency of non-pandemic, non-defunct EMS incidents. Pandemic_effect_ts: the daily frequency of pandemic, non-defunct EMS incidents. hospitalisation_ts: the daily frequency of the newly admitted Covid-19 patients to hospitals in the Austin-Round Rock metropolitan statistical area.

Context

Need latitude and longitude of neighborhoods in cities for a project, figured others might find it useful

Content

The Neighborhood list of Dallas, Texas was acquired from Zip Data Maps, I did a simple cleaning of Neighborhoods by just having the most recent name used, added city and state columns for those that want to use it for bigger projects. I then created a column for a full address to make it easier for the geocoder to get Latitude and Longitude.

Acknowledgements

Used Zip Data Maps, Google Sheets and the addon Geocode to quickly get the info needed.

Inspiration

This info can quickly be downloaded and used for gathering more info about the region. Hopefully save time and code for everyone that needs it.

Each year, the Transportation Planning and Programming (TPP) Division of the Texas Department of Transportation (TxDOT) contracts with Texas A&M Transportation Institute (TTI) to identify and rank the most congested roadways in the state. Nearly 2,200 route segments are provided to TTI and combined with speed and traffic data for the analysis. The top 100 are ranked and included in this dataset. Update Frequency: Annually Source: Geospatial Roadway Inventory Database (GRID)Security Level: PublicUpdate Frequency: 1 YearsSource: Texas A&M Transportation Institute (TTI)Security Level: PublicOwned by TxDOT: TrueRelated LinksData Dictionary PDF [Generated 2025/04/24]

This data, exported from Google Analytics displays the most popular 50 pages on Austintexas.gov based on the following: Views: The total number of times the page was viewed. Repeated views of a single page are counted. Bounce Rate: The percentage of single-page visits (i.e. visits in which the person left your site from the entrance page without interacting with the page).

*Note: On July 1, 2023, standard Universal Analytics properties will stop processing data.

Dallas is the largest office real estate market in Texas, United States, followed by Houston and Austin. As of the first quarter of 2023, Dallas had close to *** million square feet of office space. El Paso, which was the second smallest market, had the lowest vacancy rate among the major office markets in Texas, while Austin was the most expensive one.

Sales tax allocation comparison summary reports present data on monthly local sales and use tax payments to local jurisdictions. These payments represent funds identified for local jurisdictions since the previous month’s distribution. When used with other local indicators, these reports may help indicate present and future economic trends. This table lists entities alphabetically by city.

Lidar data coverage for the state of Texas. Directory Structure Analysis Status Legend [LPC+META]: Collection has both lpc and metadata directories (standard structure) [LPC only]: Collection has only lpc directory (missing metadata) [MISSING]: Collection has neither lpc nor metadata directories Summary Statistics Total Collections Examined: 83 Collections with LPC Directory: 81 Collections with Metadata Directory: 77 Collections with Both LPC and Metadata: 77 Collections with LPC only: 4 Collections with Metadata only: 0 Collections missing both directories: 2 File Counts Total LAS Files: 11 Total LAZ Files: 369,787 Total XML Files: 114,724 Total Point Cloud Files: 369,798 Total All Files in LPC: 402,635 Storage Total Size of All LPC Directories: 25,986.37 GB Average Files per Collection: 4,970 Average Size per Collection: 320.81 GB Top 5 Largest Collections (by file count) usgs-2018-70cm-texas-west-central: 50,901 files usgs-2018-70cm-texas-panhandle: 39,908 files usgs-2019-70cm-west-texas: 38,543 files usgs-2019-70cm-hurricane: 35,280 files usgs-2018-70cm-south-texas: 26,260 files Key Observations 97.6% of collections (81/83) have the expected lpc directory 92.8% of collections (77/83) have the expected metadata directory 92.8% of collections (77/83) have both directories (complete structure) Only 4 collections are missing metadata directories Only 2 collections are completely missing both directories Collection Analysis Summary Resolution Distribution 50cm resolution: 23 collections (highest resolution category) 70cm resolution: 19 collections (most common USGS resolution) 1m resolution: 8 collections 60-61cm resolution: 4 collections Other resolutions: 29 collections (35cm, 120cm, 140cm, 150cm, 170cm) Temporal Coverage 2018-2019: Peak collection period (25 collections) 2011-2017: Major expansion period (35 collections) 2001-2010: Early collections (16 collections) 2020-2022: Recent collections (7 collections) Size Categories Large Collections (>500GB): 15 collections Medium Collections (50-500GB): 37 collections Small Collections (<50GB): 31 collections Geographic Coverage Collections cover major Texas regions including coastal areas, river basins, metropolitan areas, and specialized zones like dams and reservoirs, providing comprehensive LiDAR coverage for the state.

Comprehensive dataset containing 3 verified Good Food locations in Texas, United States with complete contact information, ratings, reviews, and location data.

Comprehensive comparison of top solar installation companies serving Texas, including detailed analysis of each company's strengths, service offerings, warranties, pricing structures, customer service quality, installation expertise, and important considerations for homeowners selecting a solar provider.

In 2021, the leading publicly traded company with headquarters in Texas was McKesson. That year, McKesson had a revenue of *** billion U.S. dollars. Following McKesson was Exxon Mobil, which had a revenue of ***** billion U.S. dollars.