About this dataset

Context

This list ranks the 1 cities in the Deaf Smith County, TX by Hispanic American Indian and Alaska Native (AIAN) 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 Hispanic Native American Population: This column displays the rank of cities in the Deaf Smith County, TX by their Hispanic American Indian and Alaska Native (AIAN) population, using the most recent ACS data available.
• cities: The cities for which the rank is shown in the previous column.
• Hispanic Native American Population: The Hispanic Native American population of the cities is shown in this column.
• % of Total cities Population: This shows what percentage of the total cities population identifies as Hispanic Native American. Please note that the sum of all percentages may not equal one due to rounding of values.
• % of Total Deaf Smith County Hispanic Native American Population: This tells us how much of the entire Deaf Smith County, TX Hispanic Native American 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 1 cities in the Deaf Smith County, TX by Asian 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 Asian Population: This column displays the rank of cities in the Deaf Smith County, TX by their Asian population, using the most recent ACS data available.
• cities: The cities for which the rank is shown in the previous column.
• Asian Population: The Asian population of the cities is shown in this column.
• % of Total cities Population: This shows what percentage of the total cities population identifies as Asian. Please note that the sum of all percentages may not equal one due to rounding of values.
• % of Total Deaf Smith County Asian Population: This tells us how much of the entire Deaf Smith County, TX Asian 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/.

Background: It is unknown whether hospital outcomes differ among nonspeaking deaf patients compared to those without this disability.Objective: This article aims to compare clinical outcomes and utilization data among patients with and without deafness.Design: This study used a retrospective cohort study. Setting and Participants: The participants included Nationwide Inpatient Sample, year 2017, hospitalized adults with and without diagnostic codes related to deafness and inability to speak.Method: Multiple logistic and linear regression were used to compare in-hospital outcomes.Results: Thirty million four hundred one thousand one hundred seventeen adults were hospitalized, and 7,180had deafness and inability to speak related coding. Patients with deafness were older (mean age ± SEM: 59.2 ± 0.51 vs. 57.9 ± 0.09 years, p = .01), and less likely female (47.0% vs. 57.7%, p < .01) compared to controls. Those with deafness had more comorbidities compared to the controls (Charlson comorbidity score ≥ 3: 31.2% vs. 27.8%, p < .01). Mortality was higher among deaf versus controls (3.6% vs. 2.2%; p < .01); this translated into higher adjusted odds of mortality (adjusted odds ratio = 1.7. [confidence interval (CI) 1.3–2.4]; p = .01). Deaf patients had lower odds of being discharged home compared to controls {aOR} = 0.6, (CI) 0.55–0.73]; p < .01. Length of stay was longer (adjusted mean difference = 1.5 days CI [0.7–2.3]; p < .01) and hospital charges were higher, but not significantly so (adjusted mean difference = $4,193 CI [−$1,935–$10,322]; p = .18) in patients with deafness.Conclusions: Hospitalized nonspeaking deaf patients had higher mortality and longer hospital stays compared to those without this condition. These results suggest that specialized attention may be warranted when deaf patients are admitted to our hospitals in hopes of reducing disparities in outcomes.Supplemental Material S1. ICD-10 codes on obesity.Harris, C. M., Kotwal, S., Wright, S. M. (2021). A nationwide study examining deafness among hospitalized adults. American Journal of Audiology. Advance online publication. https://doi.org/10.1044/2021_AJA-20-00156

Data from the first national paired-testing study of housing discrimination against people who are deaf or hard of hearing and against people who use wheelchairs. Given differences in the challenges faced by people who are deaf or hard of hearing from those experienced by people who use wheelchairs, there are two study designs. Tests with people who are deaf or hard of hearing focused on housing searches conducted with telecommunication relay services, whereas tests with people who use wheelchairs focused on housing searches for accessible buildings and housing units. In both cases, there is systematic evidence of unfavorable treatment.The final report created by HUD is included along with folders for data from the Deaf/Hard of Hearing and Wheelchair User arms of the study.

About this dataset

Context

This list ranks the 1 cities in the Deaf Smith County, TX by Multi-Racial 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 Multi-Racial White Population: This column displays the rank of cities in the Deaf Smith County, TX by their Multi-Racial White population, using the most recent ACS data available.
• cities: The cities for which the rank is shown in the previous column.
• Multi-Racial White Population: The Multi-Racial 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 Multi-Racial White. Please note that the sum of all percentages may not equal one due to rounding of values.
• % of Total Deaf Smith County Multi-Racial White Population: This tells us how much of the entire Deaf Smith County, TX Multi-Racial 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 1 cities in the Deaf Smith County, TX by Multi-Racial Some Other Race (SOR) 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 Multi-Racial Other Race Population: This column displays the rank of cities in the Deaf Smith County, TX by their Multi-Racial Some Other Race (SOR) population, using the most recent ACS data available.
• cities: The cities for which the rank is shown in the previous column.
• Multi-Racial Other Race Population: The Multi-Racial Other Race population of the cities is shown in this column.
• % of Total cities Population: This shows what percentage of the total cities population identifies as Multi-Racial Other Race. Please note that the sum of all percentages may not equal one due to rounding of values.
• % of Total Deaf Smith County Multi-Racial Other Race Population: This tells us how much of the entire Deaf Smith County, TX Multi-Racial Other Race 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/.

OVERVIEWThere are several initiatives to collect signs in South African Sign Language (NID Dictionary, PanSALB, terminology lists). However, SASL place-name signs specifically are not systematically collected and documented. This dataset presents the place-name signs collected during a research project. The primary data have not been formally verified and reflect the grassroots toponymic use by the associated cultural-linguistic group, i.e., the South African Deaf Community. The secondary data shared by the NID have been formally verified and can be considered to be widely accepted signs. Availing both allows comparison of place-name knowledge and awareness from different locations. This is not a definitive list of place-name signs, nor should it be used in any way as an official terminology list.SASL is under-researched. Linguistic analysis is crucial in the development of any language, and even more important in light of the officialisation of SASL. For this type of research, empirical research is fundamental. However, SASL research presents an ethical challenge – given the importance of facial features in signing, it is difficult to protect the anonymity of participants. Place names do not rely heavily on non-manual markers, except for mouthing in some cases (which is often an idiosyncratic trait). The place-name signs were re-recorded by Deaf signers and passed multiple internal accuracy checks. In this way the collection provides a reliable approximation of real SASL use; which can be analysed according to linguistic focus.PURPOSEThe aim of the research was to initiate the systematic collection and documentation of SASL place names. The intended use of the data is three-fold:(1) Build knowledge about real-use toponyms for consideration (for formal verification).(2) Create a corpus of empirical data for linguistic research.(3) Contribute to real data suitable for technological development.DATA COLLECTIONPrimary data: Video recordings of semi-structured individual and group interviews with members of the South African Deaf community (in the Free State and Northern Cape provinces) were annotated and translated in ELAN. Place-name signs were isolated and rerecorded by Deaf signers. Details of the variants such as the date recorded, research site, and associated geographical place were recorded in an Excel spreadsheet.Secondary data: Video recordings of place-name signs collected by the National Institute for the Deaf (in the Western Cape province) for their SASL Video Dictionary were shared as per MoA. The signs were rerecorded by Deaf signers for inclusion in this dataset.Re-recordings: The research team guided Deaf signers in re-recording the place-name signs. Re-recordings had to pass several internal accuracy checks before being entered into this dataset.DISCLAIMERThis collection of SASL place names is a reflection of variation in SASL, and should not be considered an official terminology list. In this research, new information is continuously uncovered. Users, especially those conducting research, are encouraged to consult original resources and to approach the material with critical consideration. For formally verified place-name signs, please contact the Pan South African Language Board (PanSALB) or see the Dictionary of the National Institute for the Deaf (NID).ETHICS STATEMENTPrimary data: Ethical clearance was obtained from the Human Research Ethics Council of the University of the Free State: UFS-HSD2023/1614/4. Subject to the conditions of this clearance, informed consent was obtained from all participants, including the use of their data.Secondary data: The place-name signs provided by the NID were re-recorded in accordance with the MoA.Signers: The signers for the re-recordings signed consent forms on the use of their image.ACKNOWLEDGEMENTSThis research is the product of a project, Advancing SASL for 4IR Technological Development using Place Names, funded by the Department of Sport, Arts and Culture (South Africa), April 2022 – June 2025. It is a collaborative project between the Department of South African Sign Language and Deaf Studies and the Interdisciplinary Centre for Digital Futures, both at the University of the Free State (South Africa).The following people made notable contributions to the sociolinguistic component of the project: Dr Chrismi Loth, Dr Patrick Sibanda, Dr Sara Siyavoshi, Jani de Lange, Prof Annalene van Staden, Emily Matabane, Susan Lombaard, Prof Theodorus du Plessis, Donovan Wright, Lucia Mamotete Mapeshoane, Kirsten de Villiers, Gloria Motshoeneng, Nhlanhla Simelane, Anele Kotoyi and Annemarie le Roux.The following people made notable contributions to the computational component of the project: Dr Herkulaas Combrink, Charne Bornman, Nkateko Nkuna, Priscilla Keche, Taylon Colbert, Aviwe Matoti, Jarryd Trip, Valusha Oelofse and Molemo Dibe.The National Institute for the Deaf (South Africa) is acknowledged for their support and their contribution of place-name signs.We would like to express our gratitude to the participating Deaf communities for welcoming us into their spaces, for generously sharing their knowledge with us, and for graciously providing solutions and suggestions to improve our protocols.

About this dataset

Context

The dataset tabulates the Deaf Smith County population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of Deaf Smith County across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.

Key observations

In 2023, the population of Deaf Smith County was 18,347, a 0.28% decrease year-by-year from 2022. Previously, in 2022, Deaf Smith County population was 18,399, an increase of 0.11% compared to a population of 18,379 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Deaf Smith County decreased by 143. In this period, the peak population was 19,519 in the year 2011. The numbers suggest that the population has already reached its peak and is showing a trend of decline. Source: U.S. Census Bureau Population Estimates Program (PEP).

Content

When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

Data Coverage:

• From 2000 to 2023

Variables / Data Columns

• Year: This column displays the data year (Measured annually and for years 2000 to 2023)
• Population: The population for the specific year for the Deaf Smith County is shown in this column.
• Year on Year Change: This column displays the change in Deaf Smith County population for each year compared to the previous year.
• Change in Percent: This column displays the year on year change as a percentage. 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 Deaf Smith County Population by Year. You can refer the same here

About this dataset

Context

This list ranks the 1 cities in the Deaf Smith County, TX by Native Hawaiian and Other Pacific Islander (NHPI) 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 Pacific Islander Population: This column displays the rank of cities in the Deaf Smith County, TX by their Native Hawaiian and Other Pacific Islander (NHPI) population, using the most recent ACS data available.
• cities: The cities for which the rank is shown in the previous column.
• Pacific Islander Population: The Pacific Islander population of the cities is shown in this column.
• % of Total cities Population: This shows what percentage of the total cities population identifies as Pacific Islander. Please note that the sum of all percentages may not equal one due to rounding of values.
• % of Total Deaf Smith County Pacific Islander Population: This tells us how much of the entire Deaf Smith County, TX Pacific Islander 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

The dataset illustrates the median household income in Deaf Smith County, spanning the years from 2010 to 2023, with all figures adjusted to 2023 inflation-adjusted dollars. Based on the latest 2019-2023 5-Year Estimates from the American Community Survey, it displays how income varied over the last decade. The dataset can be utilized to gain insights into median household income trends and explore income variations.

Key observations:

From 2010 to 2023, the median household income for Deaf Smith County decreased by $3,667 (6.35%), as per the American Community Survey estimates. In comparison, median household income for the United States increased by $5,602 (7.68%) between 2010 and 2023.

Analyzing the trend in median household income between the years 2010 and 2023, spanning 13 annual cycles, we observed that median household income, when adjusted for 2023 inflation using the Consumer Price Index retroactive series (R-CPI-U-RS), experienced growth year by year for 6 years and declined for 7 years.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2022-inflation-adjusted dollars.

Years for which data is available:

• 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 0223

Variables / Data Columns

• Year: This column presents the data year from 2010 to 2023
• Median Household Income: Median household income, in 2023 inflation-adjusted dollars for the specific year
• YOY Change($): Change in median household income between the current and the previous year, in 2023 inflation-adjusted dollars
• YOY Change(%): Percent change in median household income between current and the previous year

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 Deaf Smith County median household income. You can refer the same here