In the United States in 2017, deaf individuals with full-time employment had a median annual salary of ****** U.S. dollars, compared to a median salary of ****** U.S. dollars among individuals who were deaf and had an independent living disability. This statistic shows median annual earnings among deaf people in the U.S. in 2017, by additional disability status.

Among adults aged 25 to 64 years in the United States, 75.8 percent of the hearing population is employed, compared to 53.3 percent of deaf people. This statistic shows the rates of employment, unemployment and labor force involvement among deaf and hearing people in the U.S. in 2017.

This publication contains detailed statistics of persons registered as deaf and hard of hearing with Councils with Social Services Responsibilities (CSSRs) in England.

This article addresses the impact on occupational relations of mediated communication through a sign language interpreter from the perspective of hearing people who do not sign but who work alongside deaf signers in the workplace. Based on a phenomenological analysis of eight semi-structured interviews, findings address the influence of phonocentrism on working practice between deaf and hearing people. In particular, the implications of the inscription of identity and presence through an embodied language are discussed. The consequences of failure to acknowledge the interpreter as a contingent practice for all, not just the deaf person, are examined. The findings have implications for the recognition and promotion of deaf agency and talent in the ‘hearing’ work place and extend understandings of structural influences on workplace discriminations to include those of interpreted communication.

In 2023, it was estimated that around 21 percent of those aged 75 years and older in the United States had a hearing disability. This statistic presents the percentage of people in the U.S. with a hearing disability as of 2023, by age.

ABSTRACT Aim: to characterize the health or education centers that work with deaf children from an early age. Methods: a survey of those in charge of centers for people with hearing loss (N=5), special schools for the deaf (N=3) and hospitals in which therapeutic intervention for people with hearing impairments (N=6) was carried out in Santiago, Chile in 2014. It consulted the characteristics of the people attended, the intervention method used at each center and information about the professionals making up each team of workers. In addition, information was compiled about whether the institution had inclusion programmes for normal or special education. Results: the majority of the institutions indicated that they had an oral focus or a variation on this. Only one used the bilingual intercultural model and another indicated that did not use oral models. The results varied concerning access to education and even to professionals, at centers of the same kind. Conclusion: the majority of the institutions indicated that they worked using the oral intervention methodology, providing fewer options for the early inclusion of bilingual intercultural education or other intervention methodologies.

This measure represents the percentage of identified as having deaf & hard of hearing impairments who were competitively employed after receiving services from Iowa Vocational Rehabilitation Services.

From 2010 to 2017, employment rates among deaf people in the U.S. have gradually increased although they continue to remain below the employment rates of the hearing population. This statistic shows the rates of employment among deaf and hearing people in the U.S. from 2008 to 2017.

This data shows the number of people registered with Councils with Social Services Responsibilities (CSSRs) as being deaf or hard of hearing by age group.

Age groups are: 0-17, 18-64, 65-74, 75 and over.

Numbers are rounded to nearest five.

The data are compiled from the triennial return SSDA 910 which is submitted to The Information Centre (The IC).

People who are registered as deaf or hard of hearing that are also blind or partially sighted are recorded on the Register of Blind and Partially Sighted Persons (SSDA 902 form), unless stated these are excluded from this report. Data on these by category of disability is available here:

http://data.london.gov.uk/dataset/number-registered-blind-and-partially-sighted-people-additional-disability-categor

and by age here:

http://data.london.gov.uk/dataset/number-registered-blind-and-partially-sighted-people-age-group-borough

All ages total includes some cases where the age was not known. Therefore the age groups may not add to the total. Regional totals are estimated to take account of missing data.

Dash ("-") means a local authority was unable to submit details on the number of people registered as being deaf and hard of hearing.

Download from NHS website

Contains detailed information on people registered with Councils that have Social Services Responsibilities (CSSRs) in England as being severely hearing impaired (deaf) or hearing impaired (hard of hearing). This data was collected every three years, but was discontinued from 2010. Further details can be found in the accompanying report.

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

Financial overview and grant giving statistics of Deaf and Hard of Hearing in Government

About this dataset

Context

The dataset tabulates the Deaf Smith County population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for Deaf Smith County. The dataset can be utilized to understand the population distribution of Deaf Smith County by age. For example, using this dataset, we can identify the largest age group in Deaf Smith County.

Key observations

The largest age group in Deaf Smith County, TX was for the group of age 5 to 9 years years with a population of 1,692 (9.15%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Deaf Smith County, TX was the 80 to 84 years years with a population of 204 (1.10%). 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

Variables / Data Columns

• Age Group: This column displays the age group in consideration
• Population: The population for the specific age group in the Deaf Smith County is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Deaf Smith County 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 Deaf Smith County Population by Age. You can refer the same here

Graph and download economic data for Employed Persons in Deaf Smith County, TX (LAUCN481170000000005) from Jan 1990 to Jul 2025 about Deaf Smith County, TX; TX; household survey; persons; employment; and USA.

Replication material for research article "Political participation among deaf youth in Great Britain". It includes a dataset (DTA format) and a R script to replicate the analysis.The data is a subset from The READY Study and it includes sociodemographic descriptors and variables on political participation.

ABSTRACT Objective: to explore the communication of family health team professionals in providing healthcare for deaf people. Methods: this cross-sectional study was comprised of 39 Family Health teams located in urban and rural areas. A census was conducted and some questionnaires were applied to the Family Health Professionals (31 doctors, 30 nurses, 27 dental surgeons and 4 pharmacists) from the Family Health Support Centers. Results: the great majority of the personnel (60.8%) reported being aware of the existence of Brazilian Sign Language, but none of the interviewees had used it to communicate. Most of the Family Health Team personnel (68.5%) had provided care to a deaf person at some time. However, none of them had taken a complementary course or received any specialized training. Conclusion: the relational dimension is fundamental in developing individual therapy plans. From this perspective, the communication barriers that deaf people face can compromise the necessary bonding for healthcare, which may adversely affect early diagnosis, timely treatment, and adherence to required treatment.

ABSTRACT: This work aimed to know which actions concerning the linguistic accessibility for deaf people have been implemented by the Brazilian Sign Language/Portuguese Language Undergraduate Course (Curso de Letras Libras/ Língua Portuguesa - CLLLP) of the Federal University of Rio Grande do Norte (Universidade Federal do Rio Grande do Norte - UFRN). The construction of this study was based on data elaborated during the Master’s research entitled ‘Deaf Students in Higher Education: reflections on the inclusion in the Brazilian Sign Language/Portuguese Language Undergraduate Course at UFRN’. More specifically, we endeavor to glance at the "linguistic accessibility" category that was built from an interview in Brazilian Sign Language with seven deaf students from the course. To this end, we interweave actions aimed at the linguistic accessibility of the deaf involving the CLLLP course with the speeches of these subjects. In this way, we guide our theoretical discussions considering the historical roots of the Deaf Education, Deaf Studies, Linguistic Policies and Cultural Studies. Finally, we observed the importance of considering the feedback of the deaf about the actions promoted by CLLLP to provide opportunities for the deaf person’s linguistic rights to be implemented in all spaces of the university. And, still, the need for a constant reflection movement to generate institutional strategies that contribute to face the challenges of implementing linguistic accessibility and, therefore, ensure the access and permanence with quality of the Deaf in Higher Education.

This statistic shows the estimated number of people with disabling hearing loss worldwide in 2018 and projections for 2030 and 2050, by region. In 2018, it was estimated that around *** million people in East Asia suffered from disabling hearing loss. This number is projected to increase to around *** million by the year 2050.

DCAL is the largest deafness and sign language research centre in Europe, bringing together leading Deaf and hearing researchers in the fields of sign linguistics, psychology, and neuroscience. Based at University College London (UCL) and funded by the Economic and Social Research Council (ESRC), DCAL places sign languages and Deaf people in the centre of the general understanding of how language and communication work within linguistics, psychology, and child development. Deafness is an important model for exploring questions in linguistics, cognitive sciences, and in neuroscience, and this is now much more widely recognised (thanks in large part to DCAL's research efforts over the last five years). The vast majority of research studies on language and thought are based on languages which are spoken and heard, and DCAL's research provides a unique perspective on language and thought based on Deaf people's communication. DCAL is committed to knowledge-exchange relating to its research agenda with professional groups who work with d/Deaf individuals and organisations of and for the d/Deaf. The research programme also follows clinical developments in relation to hearing intervention, especially cochlear implantation, as this changes the experience of deafness. Two overarching themes drive DCAL's research: (1) How is communication shaped by deafness and the use of sign language?; and (2) How does deafness and early language experience impact on cognitive functions beyond language? Both themes consider the effects of deafness, delayed language development, and sign language use across the lifespan by studying children, adolescents, and adults, including those with impaired signing, and compare this to both hearing and deaf non-signers and behavioural and neural levels. The DCAL Research Data Archive retains and archives all DCAL-funded and some DCAL-associated research data; this includes stimuli, generated data, demographic information, etc. Where permissions allow, this research data can be reused for further research – please contact the DCAL Data Manager for access information.The vast majority of research studies on language and cognition are based on languages which are spoken and heard. DCAL's research provides a unique perspective on language and thought by placing sign languages and Deaf people in the centre of our understanding of language and communication. DCAL’s research since 2006 has contributed substantially to the recognition that deafness is an important model for exploring questions in linguistics, cognitive sciences and neuroscience. Survey, Behavioural Experiment, Naturalistic Linguistics, Data, Observation, Neuroscience Experiment, Questionnaire. Participants were deaf and hearing sign language users, adults and children. As this population is quite small, opportunity sampling was used. Adults were recruited from the DCAL Participant Database, established during the life of DCAL, which by the end of 2015 contained around 800 potential participants. Children were recruited primarily through schools.

Financial overview and grant giving statistics of Deaf Community Coalition Of Fort Smith