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

The dataset presents median income data over a decade or more for males and females categorized by Total, Full-Time Year-Round (FT), and Part-Time (PT) employment in Deaf Smith County. It showcases annual income, providing insights into gender-specific income distributions and the disparities between full-time and part-time work. The dataset can be utilized to gain insights into gender-based pay disparity trends and explore the variations in income for male and female individuals.

Key observations: Insights from 2023

Based on our analysis ACS 2019-2023 5-Year Estimates, we present the following observations: - All workers, aged 15 years and older: In Deaf Smith County, the median income for all workers aged 15 years and older, regardless of work hours, was $40,972 for males and $27,148 for females.

These income figures highlight a substantial gender-based income gap in Deaf Smith County. Women, regardless of work hours, earn 66 cents for each dollar earned by men. This significant gender pay gap, approximately 34%, underscores concerning gender-based income inequality in the county of Deaf Smith County.

- Full-time workers, aged 15 years and older: In Deaf Smith County, among full-time, year-round workers aged 15 years and older, males earned a median income of $52,034, while females earned $41,169, leading to a 21% gender pay gap among full-time workers. This illustrates that women earn 79 cents for each dollar earned by men in full-time roles. This analysis indicates a widening gender pay gap, showing a substantial income disparity where women, despite working full-time, face a more significant wage discrepancy compared to men in the same roles.

Surprisingly, the gender pay gap percentage was higher across all roles, including non-full-time employment, for women compared to men. This suggests that full-time employment offers a more equitable income scenario for women compared to other employment patterns in Deaf Smith County.

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 2023-inflation-adjusted dollars.

Gender classifications include:

• Male
• Female

Employment type classifications include:

• Full-time, year-round: A full-time, year-round worker is a person who worked full time (35 or more hours per week) and 50 or more weeks during the previous calendar year.
• Part-time: A part-time worker is a person who worked less than 35 hours per week during the previous calendar year.

Variables / Data Columns

• Year: This column presents the data year. Expected values are 2010 to 2023
• Male Total Income: Annual median income, for males regardless of work hours
• Male FT Income: Annual median income, for males working full time, year-round
• Male PT Income: Annual median income, for males working part time
• Female Total Income: Annual median income, for females regardless of work hours
• Female FT Income: Annual median income, for females working full time, year-round
• Female PT Income: Annual median income, for females working part time

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 by race. You can refer the same here

People for whom English is a second language, such as the deaf population, often have unequal access to health information and low health literacy. In the context of a wider study on risk of tick-borne illness in deaf communities, we explored barriers, opportunities, and nuances to accessible health information and communication among deaf people. Semi-structured qualitative individual and group interviews were conducted with 40 deaf people in upstate New York, to explore factors associated with health literacy and health information accessibility. Interviews were conducted in American Sign Language (ASL) by a deaf researcher fluent in ASL. Data analysis included the translation of ASL signs into English words, systematic coding, and generation of themes. A total of 21 interview events (mean time per interview = 41 minutes) were conducted. Two main themes and multiple sub-themes emerged from the data: 1) Layers of obstacles faced by deaf people confirms (or reinforces) exclusion; and 2) preventive information is unavailable or inaccessible to deaf people. Sub- themes identified in the results were perceptions of the deaf community and deaf culture, complex layers of obstacles faced by deaf individuals, the digital divide, the culture of communication, awareness of tick and tick-borne disease (TBD) diseases, importance of using certified deaf interpreters (CDI), health information dissemination strategies and collaborations with the education system, and physical/virtual community engagement. The data suggested several challenges to health literacy in the deaf population, including healthcare and education inequalities and negative perceptions of deaf people by both deaf and hearing people. Improving health literacy in the deaf population requires more interpreters who themselves are deaf (“certified deaf interpreters”), provision of health information in ASL, and a greater engagement with the deaf population by education and healthcare systems.

About this dataset

Context

The dataset presents the detailed breakdown of the count of individuals within distinct income brackets, categorizing them by gender (men and women) and employment type - full-time (FT) and part-time (PT), offering valuable insights into the diverse income landscapes within Deaf Smith County. The dataset can be utilized to gain insights into gender-based income distribution within the Deaf Smith County population, aiding in data analysis and decision-making..

Key observations

• Employment patterns: Within Deaf Smith County, among individuals aged 15 years and older with income, there were 6,178 men and 5,042 women in the workforce. Among them, 3,856 men were engaged in full-time, year-round employment, while 2,473 women were in full-time, year-round roles.
• Annual income under $24,999: Of the male population working full-time, 9.26% fell within the income range of under $24,999, while 17.27% of the female population working full-time was represented in the same income bracket.
• Annual income above $100,000: 7.49% of men in full-time roles earned incomes exceeding $100,000, while 6.87% of women in full-time positions earned within this income bracket.
• Refer to the research insights for more key observations on more income brackets ( Annual income under $24,999, Annual income between $25,000 and $49,999, Annual income between $50,000 and $74,999, Annual income between $75,000 and $99,999 and Annual income above $100,000) and employment types (full-time year-round and part-time)

Content

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

Income brackets:

• $1 to $2,499 or loss
• $2,500 to $4,999
• $5,000 to $7,499
• $7,500 to $9,999
• $10,000 to $12,499
• $12,500 to $14,999
• $15,000 to $17,499
• $17,500 to $19,999
• $20,000 to $22,499
• $22,500 to $24,999
• $25,000 to $29,999
• $30,000 to $34,999
• $35,000 to $39,999
• $40,000 to $44,999
• $45,000 to $49,999
• $50,000 to $54,999
• $55,000 to $64,999
• $65,000 to $74,999
• $75,000 to $99,999
• $100,000 or more

Variables / Data Columns

• Income Bracket: This column showcases 20 income brackets ranging from $1 to $100,000+..
• Full-Time Males: The count of males employed full-time year-round and earning within a specified income bracket
• Part-Time Males: The count of males employed part-time and earning within a specified income bracket
• Full-Time Females: The count of females employed full-time year-round and earning within a specified income bracket
• Part-Time Females: The count of females employed part-time and earning within a specified income bracket

Employment type classifications include:

• Full-time, year-round: A full-time, year-round worker is a person who worked full time (35 or more hours per week) and 50 or more weeks during the previous calendar year.
• Part-time: A part-time worker is a person who worked less than 35 hours per week during the previous calendar 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 by race. You can refer the same here

Estimated Percent of People of All Ages in Poverty for Deaf Smith County, TX was 16.50% in January of 2023, according to the United States Federal Reserve. Historically, Estimated Percent of People of All Ages in Poverty for Deaf Smith County, TX reached a record high of 25.70 in January of 1993 and a record low of 15.50 in January of 2020. Trading Economics provides the current actual value, an historical data chart and related indicators for Estimated Percent of People of All Ages in Poverty for Deaf Smith County, TX - last updated from the United States Federal Reserve on June of 2025.

Graph and download economic data for Estimated Percent of People Age 0-17 in Poverty for Deaf Smith County, TX (PPU18TX48117A156NCEN) from 1989 to 2023 about Deaf Smith County, TX; under 18 years; percent; child; poverty; TX; and USA.

Estimate of People Age 0-17 in Poverty in Deaf Smith County, TX was 1262.00000 Persons in January of 2023, according to the United States Federal Reserve. Historically, Estimate of People Age 0-17 in Poverty in Deaf Smith County, TX reached a record high of 2384.00000 in January of 1989 and a record low of 1236.00000 in January of 2022. Trading Economics provides the current actual value, an historical data chart and related indicators for Estimate of People Age 0-17 in Poverty in Deaf Smith County, TX - last updated from the United States Federal Reserve on June of 2025.

Here are a few use cases for this project:

1. Remote Learning/Teaching: The model can be used in remote learning platforms for teaching or learning American Sign Language (ASL). It can analyze teachers or students' hand gestures in real time, confirming if the generated signs are accurate.

2. Video Communication for Deaf individuals: Video calling platforms can use the model to interpret hand signs to provide real-time translation during a call. This can enable effective communication for users who are deaf or are hard of hearing.

3. Virtual ASL Tutors: It can support the development of interactive virtual ASL tutorial systems, enabling users to practice and get instant feedback on their sign usage.

4. AI Assisted Speech Therapists: The model could assist therapists working remotely with clients who have speech disorders. It can help in interpreting signs to reinforce communication between the therapist and client.

5. Accessibility in entertainment/media: Streaming platforms can use the model to provide real-time or pre-processed ASL translations of movies, TV shows, or webinars for viewers who rely on sign language to communicate.

People 25 Years and Over Who Have Completed an Associate's Degree or Higher (5-year estimate) in Deaf Smith County, TX was 15.20% in January of 2023, according to the United States Federal Reserve. Historically, People 25 Years and Over Who Have Completed an Associate's Degree or Higher (5-year estimate) in Deaf Smith County, TX reached a record high of 20.60 in January of 2016 and a record low of 15.20 in January of 2023. Trading Economics provides the current actual value, an historical data chart and related indicators for People 25 Years and Over Who Have Completed an Associate's Degree or Higher (5-year estimate) in Deaf Smith County, TX - last updated from the United States Federal Reserve on July of 2025.

Graph and download economic data for Estimated Percent of People of All Ages in Poverty for Deaf Smith County, TX (PPAATX48117A156NCEN) from 1989 to 2023 about Deaf Smith County, TX; percent; child; poverty; TX; and USA.

Black or African American Poverty Rate Statistics for 2022. This is part of a larger dataset covering poverty in Deaf Smith County, Texas by age, education, race, gender, work experience and more.

Abstract

This dataset includes all individuals from the 1860 US census.

Before Manuscript Submission

All manuscripts (and other items you'd like to publish) must be submitted to

phsdatacore@stanford.edu for approval prior to journal submission.

We will check your cell sizes and citations.

For more information about how to cite PHS and PHS datasets, please visit:

https:/phsdocs.developerhub.io/need-help/citing-phs-data-core

Documentation

This dataset was developed through a collaboration between the Minnesota Population Center and the Church of Jesus Christ of Latter-Day Saints. The data contain demographic variables, economic variables, migration variables and race variables. Unlike more recent census datasets, pre-1900 census datasets only contain individual level characteristics and no household or family characteristics, but household and family identifiers do exist.

The official enumeration day of the 1860 census was 1 June 1860. The main goal of an early census like the 1860 U.S. census was to allow Congress to determine the collection of taxes and the appropriation of seats in the House of Representatives. Each district was assigned a U.S. Marshall who organized other marshals to administer the census. These enumerators visited households and recorder names of every person, along with their age, sex, color, profession, occupation, value of real estate, place of birth, parental foreign birth, marriage, literacy, and whether deaf, dumb, blind, insane or “idiotic”.

Sources: Szucs, L.D. and Hargreaves Luebking, S. (1997). Research in Census Records, The Source: A Guidebook of American Genealogy. Ancestry Incorporated, Salt Lake City, UT Dollarhide, W.(2000). The Census Book: A Genealogist’s Guide to Federal Census Facts, Schedules and Indexes. Heritage Quest, Bountiful, UT

Graph and download economic data for 90% Confidence Interval Upper Bound of Estimate of People of All Ages in Poverty for Deaf Smith County, TX (PECIUBAATX48117A647NCEN) from 1989 to 2023 about Deaf Smith County, TX; child; poverty; TX; persons; and USA.