https://www.usa.gov/government-works/https://www.usa.gov/government-works/
I've published a few different datasets targeting people with disabilities. I am interested in the topic because I seek to help other people with disabilities (I am a data scientist with a disability).
This particular dataset is most useful for viewing the number and % of people with disabilities by age and demographics within the United States. It also includes statistics by sex.
This dataset is reformatted already. It is the 2018 American Community Survey from Census.gov. It's more useable for visualization and analysis this way.
I will work on cleaning up 2017 so that you can get a year over year comparison.
ACS, all topics covered: https://www.census.gov/programs-surveys/acs/guidance/subjects.html
Overall, 1846 and 1499 per lakh population had any type of disability during the survey in rural and urban areas respectively. In some places, people with disabilities are seen as wicked or deceitful, or as unable to progress to adulthood and dependent on charity and pity for assistance. In such scenarios, people with disabilities are often socially segregated, often as a results of ingrained cultural and religious attitudes toward disability.
The dataset consists of 14 columns having information about people with disabilities across the country. The data is divided for all the states within India.
Let us all make use of power of ML and come up with various insights to dig deeper in the issue.
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
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According to World Health Organisation (WHO) disability can be defined as, “an umbrella term, covering impairments, activity limitations, and participation restriction. Impairment is a problem in the body function or structure. An activity limitation is the difficulty encountered by an individual in executing some task or action; while a participation restriction is a problem experienced by an individual in involvement in life situation. Thus disability is a complex phenomenon, reflecting an interaction between features of a person’s body and features of the society in which he or she lives”. Disability is caused by diseases, malnutrition, incorrect treatment or non-treatment, physical or mental violence and war, accidents due to inadequate protection at the workplace and in traffic situations and increasingly age related diseases. In developed countries, the proportion of people with disabilities ranges from 10 per cent to 20 per cent of total population and the prevalence of disability in developing countries is reported to be 1 per cent to 2 per cent of the population. This wide variation is attributable to the varied definitions of persons with disabilities, differences in the method of data collection and resource allocation at the country levels. Persons living with disabilities face multiple barriers to their participation, due to injustice on the basis of other grounds, including race, color, sex, language, religion, political, national, ethnic, social origin, property, birth and age. As a result, persons with disabilities are at a high risk of poverty, which in itself increases the likelihood of having a disability. Persons with disabilities are considered as the world’s largest minority. They are more likely to live in poverty than their non-disabled peers, a small portion of governmental allocation will not be sufficient to uplift the social and economic conditions of differently abled people. The capacity building and overall development of differently abled persons in par with their non-disabled counterparts and their social inclusion in all developmental activities can be ensured by proper addressing of their problems. This can be achieved by proper research works and proper academic discussions.
On the occasion of the European Disability Employment Week (EDEW) and the International Day of People with Disabilities, events which take place in November and December, the source wanted to determine the age distribution of the population of persons with disabilities. It seems from the results that most French people with disabilities in 2020 were aged between 45 and 54 years old (29 percent).
In 2021, the U.S. states with the highest share of the population that had a disability were West Virginia, Mississippi, and Kentucky. At that time, almost 19 percent of the population of West Virginia had some form of disability. The states with the lowest rates of disability were Utah, New Jersey, and California.
Disability in the United States A disability is any condition, either physical or mental, that impairs one’s ability to do certain activities. Some examples of disabilities are those that affect one’s vision, hearing, movement, or learning. It is estimated that around 13.5 percent of the population in the United States suffers from some form of disability. The prevalence of disability increases with age, with 47 percent of those aged 75 years and older with a disability, compared to just 5.5 percent of those aged 5 to 15 years.
Vision impairment One common form of disability comes from vision impairment. In 2021, around 3.4 percent of the population of West Virginia had a vision disability, meaning they were blind or had serious difficulty seeing even when wearing glasses. The leading causes of visual disability are age-related and include diseases such as cataracts, glaucoma, and age-related macular degeneration. This is clear when viewing the prevalence of vision disability by age. It is estimated that 8.8 percent of those aged 75 years and older in the United States have a vision disability, compared to 4.1 percent of those aged 65 to 74 and only 0.8 percent of those aged 5 to 15 years.
https://pacific-data.sprep.org/resource/public-data-license-agreement-0https://pacific-data.sprep.org/resource/public-data-license-agreement-0
Number and proportion of persons by sex, age and urbanization for different disability types and different disability cut-off points.
Find more Pacific data on PDH.stat.
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In the context of the FLAMENCO project, we have released a dataset designed for predicting potential deficiencies in children's communication skills, tailored for Federated Learning. This dataset specifically focuses on addressing two prevalent deficiencies in communication skill development in children: autism and intellectual disability. For each deficiency, two CSV files are provided—one for training machine learning models and another for testing them. Each entry in these CSV files includes the following details: - case_id: An anonymized identifier used to distinguish cases.- client_id: Identifies the client to which the case belongs, useful for dataset splitting in federated settings.- A series of scores measuring specific communication skills: These scores, such as Verbalization, Voicing, Syntax, etc., are derived from the child's performance in specialised gamified exercises and have been computed with the assistance of expert clinicians. target: Can be -1 (no clinician's diagnosis available for the case), 0 (no diagnosed deficiency in the case), 1 (indicates a positive diagnosis of communication deficiency by a clinician)TThis project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreements No. 957406 (TERMINET).
Open Database License (ODbL) v1.0https://www.opendatacommons.org/licenses/odbl/1.0/
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Number of beneficiaries with disabilities with regard to the main social action aids of the City of Paris
The CASVP offers various aids for people with disabilities disabilities: Paris Solidarity, Paris Health Supplement, Paris Housing for the Elderly Disabled Persons, the Access' card, Home Improvement Assistance, Remote alarm, hairdressing at home, pedicure at home and the wearing of meals at home. But also aid for families with at least one disabled child subject to tax: the Support Allowance for Parents of Disabled Children, the Paris Énergie Familles, Paris Logement Familles, the Pass Familles.
They are subject to certain conditions (e.g. resources, 3 years in Paris, etc.)
They make it possible to supplement resources, reduce housing expenses or improve it, but also to move around , having fun, eating out or benefiting from home services.
To find out more, go to the CASVP in your arrondissement or on Paris.fr.
https://www.paris.fr/services-et- practical-info/help-and-procedures
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Explore Disability, handicap and life chances series through unique data from multiples sources: key facts, real-time news, interactive charts, detailed maps & open datasets
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Global Handicap Assistance Robots Market Forecast 2023-2027
The Global Handicap Assistance Robots Market size is forecast to increase by USD 2.48 billion at a CAGR of 27.51% between 2022 and 2027. The global market experiences growth driven by key factors. Advancements in artificial intelligence elevate the capabilities of assistance robots, enhancing their effectiveness in aiding individuals with disabilities. Furthermore, robust government support for assistance robots, particularly in developed countries, provides a conducive environment for market expansion. Additionally, the aging population in developed nations increases the demand for such robots, addressing the growing need for assistance and caregiving solutions. Our report examines historic data from 2017 to 2021, besides analyzing the current market scenario. This market research and growth report also includes an in-depth analysis of drivers, trends, and challenges.
What will be the size of the Handicap Assistance Robots Market During the Forecast Period?
Handicap Assistance-Robots Market Forecast 2023-2027
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Market Segmentation
Product Segment Analysis
The robotic parts segment will account for a major share of the market's growth during the forecast period.?Robot parts, such as robot arms and legs, are becoming increasingly popular among people with disabilities and limb loss in the US and European countries. Market players are constantly focusing on developing robotic parts, such as limbs, that can operate with minimal human-induced shocks to make them actuate. Due to advancements in these technologies, such robotic parts are expected to become even more popular and drive market growth.
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The robotic parts segment was valued at USD 395.58 million in 2017.?Countries around the world are working to regenerate body parts for people with disabilities using robotic devices. The robot parts market has become more dominant in North America and the developed countries of the EU. This is because these regions have high healthcare costs and reimbursement systems that encourage patients to use robotic solutions frequently. Such factors are driving the growth of the robot parts segment and will drive the growth of the global market during the forecast period.
Type?Segment Analysis:
Based on type, the market has been segmented into stationary and mobility. The stationary?segment will account for the largest share of this segment.?Stationary disability assistance robots are designed to provide stationary assistance and support. These robots are typically placed in specific locations, such as homes, medical facilities, and public places, and provide functions that assist users with their daily lives. Stationary robots can play music, display videos, and provide simple games to entertain users. They can also make friends and feel less lonely. In addition, stationary robots can assist users in their daily lives by setting alarms, creating to-do lists, and providing reminders for appointments and tasks. Therefore, they will drive the growth of the market during the forecast period.
Regional Analysis
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North America is estimated to contribute 34% to the growth by 2027. Technavio’s analysts have elaborately explained the regional trends, drivers, and challenges that are expected to shape the market during the forecast period. The US became the largest revenue-contributing country in the North American market in 2022. The increasing aging population is a major factor contributing to the market growth in this country. Additionally, technological advancements in product design, construction, usage, and availability of reimbursement from health insurance companies are increasing the demand for disability assistive robots in the region during the forecast period.
Market Dynamics
The market is witnessing significant growth propelled by advancements in Artificial Intelligence, with Japanese android makers pioneering innovations to address Mild Cognitive Impairment (MCI) and Dementia. From robot-assisted surgery, including spinal surgery, to enhancing social awareness promoted by organizations like the World Health Organization, the market embraces technologies such as exoskeletons and electric wheelchairs. SAR (Socially Assistive Robots) play a crucial role in pediatric medical care, aiding individuals with conditions like autism, strokes, and spinal cord injuries. The market thrives on rising insurance coverage, driving the adoption of medical exoskeletons and various forms of robotic assistance, from stationary robots to surgical robots, in rehabilitation centers for those with neurological injuries and disabilities. Our researchers studied the data for years, with 2022 as the base year and 2023
On the occasion of the European Disability Employment Week (EDEW) and the International Day of People with Disabilities, events which take place in November and December, the source wanted to have an insight into the type of disability French people who were affected by it had. Yet it seems from the results that most French people with disabilities in 2020 had one that was related to motor functions (20 percent).
In 2022, about 8.6 million disabled people received public rehabilitation services in China. Of these, around 4.14 million were physically impaired. The total number of handicapped persons in China was estimated at around 85 million in 2021.
https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain
Graph and download economic data for Population - With a Disability, 16 Years and over (LNU00074597) from Jun 2008 to Mar 2024 about disability, civilian, 16 years +, population, and USA.
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Explore Living with physical handicap through unique data from multiples sources: key facts, real-time news, interactive charts, detailed maps & open datasets
This diagram shows the proportion of people aged 25 to 54 with at least one disability in France in 2008, by type of disability. That year, there were nearly 10% of French people aged 25-54 with a disability, or more.
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Chimpanzee culture has generated intense recent interest, fueled by the technical complexity of chimpanzee tool-using traditions; yet it is seriously doubted whether chimpanzees are able to learn motor procedures by imitation under natural conditions. Here we take advantage of an unusual chimpanzee population as a ‘natural experiment’ to identify evidence for imitative learning of this kind in wild chimpanzees. The Sonso chimpanzee community has suffered from high levels of snare injury and now has several manually disabled members. Adult male Tinka, with near-total paralysis of both hands, compensates inability to scratch his back manually by employing a distinctive technique of holding a growing liana taut while making side-to-side body movements against it. We found that seven able-bodied young chimpanzees also used this ‘liana-scratch’ technique, although they had no need to. The distribution of the liana-scratch technique was statistically associated with individuals' range overlap with Tinka and the extent of time they spent in parties with him, confirming that the technique is acquired by social learning. The motivation for able-bodied chimpanzees copying his variant is unknown, but the fact that they do is evidence that the imitative learning of motor procedures from others is a natural trait of wild chimpanzees.
Attribution-ShareAlike 4.0 (CC BY-SA 4.0)https://creativecommons.org/licenses/by-sa/4.0/
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This is the historic impact factors of Disability, Handicap & Society computed for each year in CSV format. The first column shows the exaly JournalID for mixing this table with those of other journals
Disability and Health Data System (DHDS) is an online source of state-level data on adults with disabilities. Users can access information on six functional disability types: cognitive (serious difficulty concentrating, remembering or making decisions), hearing (serious difficulty hearing or deaf), mobility (serious difficulty walking or climbing stairs), vision (serious difficulty seeing), self-care (difficulty dressing or bathing) and independent living (difficulty doing errands alone).
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
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Average well-being outcomes for disabled people in the UK aged 16 to 64 years, with analysis by age, sex, impairment type, impairment severity, country and region using Annual Population Survey (APS) data.
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FR : Ce jeu de données rassemble 3 fichiers de statistiques bivariées et les 3 scripts R correspondants, issus d’une exploitation de l’EEC 2011 et de son module ad hoc dans le cadre du volet quantitatif de la thèse « Handicap et destinées sociales ». Les tableaux et graphiques qui composent les fichiers sont également téléchargeables isolément. Chaque duo fichier de statistiques/script détaille une thématique : - subdivisions au sein de la population ayant grandi avec un handicap en « types et degrés de limitations » à partir des questions sur les problèmes de santé et difficultés quotidiennes. - caractéristiques socio-démographiques des personnes valides et des sous-populations ayant grandi avec un handicap. - éducation, emploi, et vie familiale des personnes valides et des sous-populations ayant grandi avec un handicap. Le jeu est complété par deux documents méthodologiques. Un fichier READ-ME, à lire en priorité, présente le jeu: ses objectifs, les types de fichiers et autorisations associées, son organisation, etc. Un fichier inventaire, en cours de finalisation, répertorie les statistiques consultables dans ce jeu, ainsi que celles présentes dans d'autres de mes travaux (articles, thèse, carnet Hypotheses, etc). Pour toute publication, veuillez s'il vous plaît indiquer : « Ces statistiques sont issues d'une exploitation par Célia Bouchet de l'Enquête Emploi en continu, vague 2011, et de son module ad-hoc Insertion professionnelle des personnes handicapées (producteurs: INSEE et DARES, diffuseur: ADISP) ». DOI : https://doi.org/10.21410/7E4/SY7APQ EN: This dataset gathers 3 bivariate statistics files and the 3 corresponding R scripts, resulting from an exploitation of the 2011 French Labour Force Survey and its ad hoc module, as part of the quantitative section of the thesis « Handicap et destinées sociales ». The tables and figures included in the files can also be downloaded individually Each statistics file/script duo elaborates on one theme: - subdivisions within the population that has grown up with a disability into "types and degrees of limitations", based on the questions on health problems and daily difficulties. - socio-demographic characteristics of able-bodied people and of sub-populations who have grown up with a disability. - education, employment and family life for able-bodied people and for sub-populations who have grown up with a disability. The dataset is completed by two methodological documents. A READ-ME file, to be opened first, presents the dataset : its objectives, file types and associated authorizations, folder structure, etc. The dataset is completed by two methodological documents. A READ-ME file, to be opened first, presents the dataset : its objectives, file types and associated authorizations, folder structure, etc. An inventory file, still to be completed, lists the statistics that are available in the dataset, as well as those contained in other parts of my work (articles, thesis, Hypotheses notebook, etc.) For all publications, please indicate: "These statistics are based on an exploitation by Célia Bouchet of the French Labour Force Suvey, wave 2011, and its ad-hoc module on Employment of disabled people (producers: INSEE and DARES, distributor: ADISP)". DOI : https://doi.org/10.21410/7E4/SY7APQ
https://www.usa.gov/government-works/https://www.usa.gov/government-works/
I've published a few different datasets targeting people with disabilities. I am interested in the topic because I seek to help other people with disabilities (I am a data scientist with a disability).
This particular dataset is most useful for viewing the number and % of people with disabilities by age and demographics within the United States. It also includes statistics by sex.
This dataset is reformatted already. It is the 2018 American Community Survey from Census.gov. It's more useable for visualization and analysis this way.
I will work on cleaning up 2017 so that you can get a year over year comparison.
ACS, all topics covered: https://www.census.gov/programs-surveys/acs/guidance/subjects.html