In 2023, the U.S. states with the highest share of the population that had a disability were West Virginia, Arkansas, and Kentucky. At that time, around 19.7 percent of the population of West Virginia had some form of disability. The states with the lowest rates of disability were New Jersey, Utah, and Minnesota. 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 14 percent of the population in the United States suffers from some form of disability. The prevalence of disability increases with age, with 46 percent of those aged 75 years and older with a disability, compared to just six percent of those aged 5 to 15 years. Vision impairment One common form of disability comes from vision impairment. In 2023, around 3.6 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 8.3 percent of those aged 75 years and older in the United States have a vision disability, compared to 4.3 percent of those aged 65 to 74 and only 0.9 percent of those aged 5 to 15 years.

This dataset presents the number of people with disabilities registered at various disability centers in Qatar from years 2016- 2023, categorized by age group and center name. It supports understanding of service distribution across age demographics and assists in planning specialized care and resources.

In 2023, it was estimated that around 14 percent of the population of the U.S. had some form of disability, such as a vision disability, hearing disability, or cognitive disability. This statistic presents the percentage of people in the U.S. who had a disability from 2008 to 2023.

*Please note that # refer to the number of people within the age group with a disability and % refers to the percent of those with a disability within that age group. Source: U.S. Census Bureau; 2012-2016 American Community Survey 5-Year Estimates, Table S1810.

The prevalence of disabilities in the United States shows a clear correlation with age, with nearly half of Americans aged 75 and older experiencing some form of disability. This stark contrast to younger age groups highlights the increasing challenges faced by the elderly population in maintaining their independence and quality of life. Disability rates across age groups According to 2023 data, only 0.7 percent of children under 5 years old have a disability, compared to 6.3 percent of those aged 5 to 15. The percentage rises steadily with age, reaching 11.2 percent for adults between 21 and 64 years old. A significant jump occurs in the 65 to 74 age group, where 23.9 percent have a disability. The most dramatic increase is seen in those 75 and older, with 45.3 percent experiencing some form of disability. These figures underscore the importance of accessible services and support systems for older Americans. The Individuals with Disabilities Education Act (IDEA) The prevalence of disabilities among younger Americans has significant implications for the education system. The Individuals with Disabilities Education Act (IDEA) is a law in the United States that guarantees the right to a free appropriate education for children with disabilities. In the 2021/22 academic year, 7.26 million disabled individuals aged 3 to 21 were covered by the Individuals with Disabilities Education Act (IDEA). This number includes approximately 25,000 children with traumatic brain injuries and 434,000 with intellectual disabilities.

The dataset contains useful information regarding statistics on people with special needs including physically and mentally disabled people.

Disabled Population by Type of Disability, Nationality and Sex

Disabled Population by Age by City. Please note that # refer to the number of people within the age group with a disability and % refers to the percent of those with a disability within that age group. Source: U.S. Census Bureau; 2012-2016 American Community Survey 5-Year Estimates, Table S1810.

The number of disabled persons enrolled in Medicaid was projected to reach ************** in 2020. This enrollment group is expected to increase over the coming years and could reach ************ by 2027.

Disabled enrollees by state Medicaid is a public health insurance program that provides medical coverage to millions of Americans. Disabled individuals represent around ** percent of all Medicaid enrollees – children aged 18 years and under are the largest enrollment group. The state of California, which has the highest Medicaid expenditure, had slightly more than *********** disabled enrollees in 2014.

SSI beneficiaries will receive Medicaid The Affordable Care Act (ACA) created the opportunity for states to expand Medicaid and cover more low-income adults aged 64 years and under. The ACA established a new methodology to determine income eligibility for Medicaid. However, some mandatory groups are exempt from these income-based rules, including those individuals receiving Supplemental Security Income (SSI). The SSI program provides financial assistance to disabled persons, and beneficiaries are automatically eligible for Medicaid.

Austria Population: Permanently Disabled data was reported at 168.900 Person th in 2023. This records an increase from the previous number of 156.600 Person th for 2022. Austria Population: Permanently Disabled data is updated yearly, averaging 106.750 Person th from Dec 2004 (Median) to 2023, with 20 observations. The data reached an all-time high of 168.900 Person th in 2023 and a record low of 60.200 Person th in 2004. Austria Population: Permanently Disabled data remains active status in CEIC and is reported by Statistics Austria. The data is categorized under Global Database’s Austria – Table AT.G001: Population.

This dataset presents the number of people with disabilities in Qatar, categorized by nationality, gender, and age group. The data supports demographic analysis for inclusive planning and development of disability-related services and policies.

In 2011, around **** percent of India's total population with disability was children, at approximately **** million children out of 26.8 million of disabled people. Meanwhile, the disabled children in Bihar and Meghalaya accounted for respectively around ***** percent and ***** percent of the total disabled population in these regions. In comparison, just over *** percent of disabled people in Sikkim and in Kerala were children.

Disabled Population by City. Note: It is possible to have more than one type of disability. Categories are not mutually exclusive. Source: U.S. Census Bureau; 2012-2016 American Community Survey 5-Year Estimates, Table S1810.

Special Needs Wheelchairs Market Outlook

The global special needs wheelchairs market is poised to experience significant growth, with the market size estimated at approximately USD 2.5 billion in 2023 and projected to reach USD 4.2 billion by 2032, reflecting a compound annual growth rate (CAGR) of 5.8%. This upward trajectory is primarily driven by the increasing awareness of mobility solutions for individuals with special needs and technological advancements in wheelchair design. The rising prevalence of disabilities globally, coupled with governmental and non-governmental support to enhance accessibility, is further propelling market growth. This expanding market is indicative of a broader trend towards inclusivity and improved quality of life for individuals with mobility impairments, as society becomes more attuned to the needs of this demographic.

One of the most significant growth factors in the special needs wheelchairs market is the increasing aging population globally. As per the World Health Organization, the number of people aged 60 years and older is expected to double by 2050, reaching about 2.1 billion. This demographic shift is crucial because older adults are more likely to experience mobility issues and require assistive devices like wheelchairs. The surge in the elderly population necessitates a greater demand for special needs wheelchairs, particularly models that offer enhanced comfort and ease of use. Additionally, the increasing prevalence of chronic diseases such as arthritis, osteoporosis, and stroke, which can lead to mobility impairments, is contributing to the rising demand for these products.

Technological advancements also play a pivotal role in driving the growth of the special needs wheelchairs market. Innovations such as the development of lightweight materials, improved battery life for electric wheelchairs, and the integration of smart technology features like GPS and health monitoring systems are enhancing the appeal and functionality of these mobility aids. These advancements not only improve user comfort and independence but also expand the potential consumer base by making wheelchairs more adaptable to various needs. Moreover, the trend towards customization, wherein wheelchairs can be tailored to meet specific user requirements, is becoming increasingly popular, further fueling market expansion.

Government initiatives and supportive policies aimed at improving the quality of life for individuals with disabilities are also pivotal in the market's growth trajectory. Many countries have implemented measures to enhance accessibility, including subsidies for assistive devices and the development of wheelchair-friendly infrastructure. These initiatives are complemented by the efforts of non-governmental organizations and advocacy groups, which work tirelessly to raise awareness about mobility challenges and promote the use of special needs wheelchairs. Such efforts not only boost market demand but also encourage manufacturers to invest in research and development to produce more advanced and user-friendly wheelchair models.

Product Type Analysis

The product type segment of the special needs wheelchairs market is diverse, catering to a wide range of user requirements. Manual wheelchairs remain a foundational component of this market due to their affordability and ease of use. These wheelchairs are particularly popular in developing regions where cost considerations are paramount. The manual wheelchair segment is characterized by continuous innovation, with manufacturers focusing on reducing weight and increasing maneuverability to enhance user comfort. Additionally, foldable designs that facilitate easier transportation and storage are gaining traction, particularly among users who lead active lifestyles or travel frequently.

Electric wheelchairs, on the other hand, are experiencing rapid growth due to their advanced features and the convenience they offer. These wheelchairs are equipped with motors and batteries that allow for effortless movement, making them ideal for individuals with limited physical strength. The electric wheelchair segment is witnessing technological advancements such as improved battery efficiency, enhanced suspension systems, and the integration of smart technologies that allow users to control the wheelchair via mobile applications. These innovations are making electric wheelchairs increasingly attractive to a broader consumer base, including younger individuals who value independence and technological connectivity.

Pediatric wheelchairs represent a crucial niche within the market, addressing the uniqu

Special Needs Strollers Market Outlook

The global special needs strollers market size in 2023 is estimated to be valued at approximately USD 1.5 billion, and it is projected to reach USD 2.3 billion by 2032, with a compound annual growth rate (CAGR) of around 4.8% during the forecast period. The growth of this market is driven by a combination of factors, including the increasing prevalence of physical disabilities and mobility impairments among children and adults, advancements in medical technology, and growing awareness about the availability and benefits of special needs strollers. Additionally, the increasing global population coupled with the rising healthcare expenditure and improvements in healthcare infrastructure in various regions are also supporting the demand for these specialized mobility solutions.

One major growth factor contributing to the expansion of the special needs strollers market is the increasing incidence of congenital and acquired disabilities that affect mobility in children and adults. Conditions such as cerebral palsy, muscular dystrophy, and developmental delays are becoming more prevalent, necessitating the use of specialized mobility aids like special needs strollers. This growing demand is further amplified by the increased awareness among healthcare professionals and caregivers about the availability and necessity of these products to enhance the quality of life for individuals with mobility challenges. As a result, there is a rising trend among manufacturers to develop more innovative and ergonomic designs that cater to the specific needs of this population.

Technological advancements in the design and functionality of special needs strollers also play a crucial role in the market's growth. Manufacturers are investing significantly in research and development to introduce strollers that offer enhanced safety, comfort, and convenience. Features such as adjustable seating, advanced suspension systems, lightweight materials, and user-friendly controls for electric models are becoming standard in new product launches. These innovations not only improve the user experience but also appeal to caregivers who prioritize ease of use and adaptability in mobility solutions. The continuous evolution of these products ensures that the market remains dynamic and responsive to consumer needs.

The increasing focus on inclusive education and community integration for individuals with disabilities is another factor driving the market. Governments and non-profit organizations across the globe are emphasizing the need for accessible environments that facilitate participation in educational and recreational activities. This has led to increased funding and support for families requiring special needs strollers, making these products more accessible to a broader consumer base. Consequently, the market is witnessing a surge in demand from educational institutions and community centers, further boosting the market's growth trajectory.

Regionally, North America and Europe are expected to remain dominant in the special needs strollers market due to their well-established healthcare infrastructures and higher awareness levels among the population. However, the Asia Pacific region is anticipated to exhibit the highest growth rate over the forecast period. This growth can be attributed to the rapidly improving healthcare facilities, increasing awareness, and economic development leading to higher purchasing power in countries such as China and India. Additionally, the presence of a large population base with unmet healthcare needs further propels the demand for special needs strollers in this region. The regional market dynamics are indicative of a promising future for the special needs strollers sector on a global scale.

Product Type Analysis

The special needs strollers market is segmented by product type into manual special needs strollers and electric special needs strollers. Manual special needs strollers have historically been the more predominant choice, primarily due to their affordability and simplicity. These strollers are designed for easy maneuverability and portability, making them ideal for families who need a reliable mobility solution without the added complexities of electrical components. Manual strollers are often preferred by caregivers who prioritize durability and ease of maintenance. Typically, they feature robust frames and adjustable seating options that cater to a wide range of physical conditions, enhancing user comfort and support.

Electric special needs strollers, on the other hand, represent a growing segment within th

Abstract

The National Sample Survey Organisation (NSSO) carried out the first country wide comprehensive survey of physically disabled persons during the 36th round survey (July - December, 1981). The next survey on the subject was carried out after a period of ten years in NSS 47th round (July - December, 1991). In NSS 36th and 47th round surveys, information was collected on three types of physical disabilities - visual, communication and locomotor - along with the cause of disability, aid/appliance acquired by the disabled, general and vocational educational level of the disabled etc. In addition, data on developmental milestones and behavioural pattern of all children of age 5-14 years, regardless of whether they were physically disabled or not, were collected.

The Ministry of Social Justice and Empowerment (MSJE) made a request for conducting a survey on disability in order to meet the data needs for evolving specific strategies and interventions during the 10th Five Year Plan. The need for a detailed survey on disability was strongly felt by MSJE since its data requirement included not only the number of disabled persons, but also the socio-economic characteristics of the disabled persons such as their age structure, literacy, vocational training, employment, causative factors of disability, age at the onset of disability etc. Keeping in view the urgent data need of the MSJE, the Governing Council of NSSO, in its 81st meeting, decided that the survey on disability may also be carried out as a part of NSS 58th round during July - December 2002. It has been decided that: (i) The survey of disabled persons will also cover persons with mental disability apart from the physically disabled persons since the Ministry of Social Justice and Empowerment (MSJE) also requested for information on mentally disabled persons. The decision to include mental disability in the survey has been taken on the basis of a pre-test of the questions on mental disability, both for the listing and detailed schedules, carried out in the four cities of Kolkata, Mumbai, Hyderabad and Delhi.

(ii) The information for different types of disabilities is to be collected for persons of all age-groups. Separate information on the developmental milestones of children will not be collected.

Geographic coverage

The survey covered the whole of the Indian Union except (i) Leh and Kargil districts of Jammu & Kashmir, (ii) interior villages of Nagaland situated beyond five kilometres of the bus route and (iii) villages in Andaman and Nicobar Islands which remain inaccessible throughout the year.

Kind of data

Sample survey data [ssd]

Sampling procedure

Sample Design

Outline of Sample Design

A stratified multi-stage design was adopted for the conduct of survey of NSS 58th round. The first-stage units were census villages (panchayat wards for Kerala) in the rural sector and the NSSO Urban Frame Survey (UFS) blocks in the urban sector. The ultimate stage units were households in both the sectors.

Sampling Frame for First-Stage Units

For the rural sector, the list of Census 1991 villages (panchayat wards for Kerala) and Census 1981 villages for J & K constituted the sampling frame. For the urban sector, the list of latest available Urban Frame Survey (UFS) blocks was considered as the sampling frame.

Stratification

Rural sector: Two special strata were formed as given below at the State/ UT level on the basis of Population Census 1991 viz. Stratum 1: all FSUs with population between 0 to 50, and Stratum 2: FSUs with population more than 15,000 The special stratum 1 was formed if at least 50 such FSU's were found in a State/UT. Similarly, special stratum 2 was formed if at least 4 such FSUs were found in a State/UT. Otherwise, such FSUs were merged with the general strata. From the remaining FSUs (not covered under stratum 1 &2) general strata (hereafter, stratum will refer to general stratum unless otherwise mentioned) was formed and numbered 3, 4, 5 …. etc. (even if no special strata have been formed). Each district of a State/UT was normally treated as a separate stratum. However, if the provisional population of the district was greater than or equal to 2.5 million as per Census 2001, the district was divided into two or more strata with more or less equal population as per population census 1991 by grouping contiguous tehsils. However, in Gujarat, some districts were not wholly included in an NSS region. In such cases, the part of the district falling in an NSS region constituted a separate stratum.

Urban sector: In the urban sector, stratum was formed within each NSS region on the basis of size class of towns as per Census 1991 town population except for towns specified in Table 4. The stratum number and their composition (within each region) are given below: stratum 1: all towns with population (P) < 0.1 million
stratum 2: all towns with 0.1= P < 0.5 million
stratum 3: all towns with 0.5= P < 1 million
stratum 4,5,6, … each town with P= 1 million
The stratum numbers was retained as above even if, in some regions, some of the stratum is not formed.

Sub-stratification

There was no sub-stratification in the rural sector. However, to cover more number of households living in slums, in urban sector each stratum was divided into 2 sub-strata as follows: sub-stratum 1: all UFS blocks having area type 'slum area' sub-stratum 2: remaining UFS blocks If there was one UFS block with area type 'slum area' within a stratum, sub-stratum 1 was not formed; it was merged with sub-stratum 2.

Total sample size (FSUs)

A total number of 8338 and 9076 first-stage units were selected for survey in the Central and State samples respectively.

Allocation of total sample to States and UTs

The total sample FSUs was allocated to the States and UTs in proportion to provisional population as per Census 2001 subject to the availability of investigators ensuring more or less uniform work-load.

Allocation of State/ UT level sample to Rural and Urban sectors

State/UT level sample was allocated between two sectors in proportion to provisional population as per Census 2001 with double weightage to urban sector.

Allocation of Rural /Urban sector level sample size to strata / sub-strata

Both rural and urban sector samples allotted to a State/UT were allocated to different strata in proportion to population of the stratum. All the stratum-level allocations were adjusted to multiple of 2. Stratum-level sample size in the urban sector was further allocated to 2 sub-strata in proportion to the number of UFS blocks in them with double weightage to sub-stratum 1 subject to a minimum sample size of 2 or 4 to sub-stratum 1 according as stratum-level allocation is 4 or greater than 4. Sub-stratum level allocations in the urban sector were made even.

Selection of FSUs

FSUs were selected in the form of two independent sub-samples in both the sectors. For special stratum 2 and all the general strata of rural sector, FSUs were selected by probability proportional to size with replacement (PPSWR) where size was the 1991 census population. For urban sector and special stratum 1 of rural sector, FSUs were selected by simple random sampling without replacement (SRSWOR).

Selection of hamlet-groups/sub-blocks / households

Formation of hamlet-group/sub-block

Large villages/ blocks having approximate present population 1200 or more were divided into a suitable number of hamlet-groups/sub-blocks as given below: approximate present population no. of hamlet-groups/ sub-blocks formed
less than 1200 1 (no hamlet-group/sub-block formation)
1200 to 1799 3
1800 to 2399 4
2400 to 2999 5
3000 to 3599 6
....and so on

For rural areas of Himachal Pradesh, Sikkim and Poonch, Rajouri, Udhampur and Doda districts of Jammu and Kashmir and Idukki district of Kerala where habitation pattern causes difficulty in listing due to topography of the area, hg formation criterion was relaxed for which number of hamlet groups formed as per population criterion is given below: approximate present population no. of hamlet-groups/ sub-blocks formed
less than 600 1 (no hamlet-group/sub-block formation)
600 to 899 3
900 to 1199 4
1200 to 1499 5
....and so on

Hamlet-groups / sub-blocks were formed by more or less equalising population. For large urban blocks, the sub-block (sb) having slum dwellers, if any, was selected with probability 1 and was termed as segment 1. However, if there were more than one sb having slum dwellers, the sb having maximum number of slum dwellers was selected as segment 1. After selection of sb for segment 1, one more sb was selected by simple random sampling (SRS) from the remaining sb's of the block and was termed as segment 2. For large blocks (having no slum areas) two sub-blocks were selected by simple random sampling without replacement (SRSWOR) and were combined to form segment 2. For urban blocks without sub-block formation, segment number was 1 or 2 depending on whether the block was having a slum or not. For large villages two hamlet-groups were selected by SRSWOR and were combined to form segment 2. For villages without hamlet-group formation, segment number was also 2. The segments were considered separately for listing and selection of the ultimate-stage units.

Formation of Second Stage Strata (SSS) and selection of households for schedule 26

In each selected village/block/segment, three second stage strata (SSS) were formed on the basis of disability type. The number of households selected is given below: Without segment formation with segment formation (for each segment)

SSS 1: households

Disabled and Elderly Assistive Technologies Market Outlook

The global disabled and elderly assistive technologies market size was valued at approximately USD 27.5 billion in 2023 and is projected to reach around USD 49.3 billion by 2032, growing at a compound annual growth rate (CAGR) of 6.7% during the forecast period. The significant growth of this market can be attributed to the increasing aging population worldwide, rising incidences of disabilities due to chronic health conditions, and technological advancements in assistive devices. The growing demand for improved quality of life among the elderly and disabled, along with favorable government initiatives and policies promoting the use of such technologies, has further propelled the market growth.

The demand for disabled and elderly assistive technologies is significantly driven by the demographic shift towards an aging population and the rise in life expectancy globally. As the baby boomer generation ages, the need for support in daily activities and mobility increases, leading to an uptick in the adoption of assistive devices. Furthermore, the prevalence of chronic diseases and conditions such as arthritis, dementia, and vision impairment among the elderly necessitates the use of assistive technologies to enhance their quality of life. This demographic trend is a vital growth driver, as it expands the potential consumer base that requires these technologies to maintain independence and manage day-to-day tasks effectively.

Another growth factor is the continuous advancements and innovations in technology enhancing the functionality and efficiency of assistive devices. Technological advancements have made devices more user-friendly, efficient, and accessible. The integration of artificial intelligence, the Internet of Things (IoT), and machine learning in assistive technologies has paved the way for smart assistive devices that can adapt to the individual needs of users, providing personalized support and improving the overall user experience. This technological evolution is critical as it not only enhances the functionality of assistive devices but also reduces the stigma associated with their use, encouraging more widespread adoption.

Additionally, government initiatives and policies aimed at improving the accessibility and affordability of assistive technologies have played a crucial role in market growth. Many governments worldwide are implementing policies to support the elderly and disabled populations, including subsidies for assistive devices and investments in healthcare infrastructure. These initiatives have made assistive technology more accessible to a broader range of people, particularly in developing regions where cost constraints may otherwise limit access. The supportive regulatory framework and funding opportunities foster an environment conducive to market expansion, encouraging manufacturers to innovate and offer cost-effective solutions.

The Paralysis Assistive Technology Market is emerging as a crucial component within the broader assistive technologies landscape. This market specifically addresses the needs of individuals with paralysis, providing them with innovative solutions to enhance mobility, communication, and daily living activities. With advancements in technology, devices such as exoskeletons, brain-computer interfaces, and adaptive communication tools are becoming more sophisticated and accessible. These technologies not only improve the quality of life for individuals with paralysis but also empower them to lead more independent lives. The growing focus on personalized care and the integration of cutting-edge technologies are driving the expansion of this market, offering new opportunities for innovation and growth.

Regionally, North America is anticipated to dominate the disabled and elderly assistive technologies market due to its well-established healthcare system and increasing geriatric population. The region's robust healthcare infrastructure, high healthcare expenditure, and greater awareness of assistive technologies among the population contribute to this dominance. Europe is also expected to hold a significant share of the market, driven by the presence of key market players and favorable government policies. Meanwhile, the Asia Pacific region is projected to exhibit the highest growth rate during the forecast period, attributed to the rapidly aging population, urbanization, and improving healthcare infrastructure. The growing awareness and economic development in emerging countries such as China and India are

Disabled Population. Source: U.S. Census Bureau; 2012-2016 American Community Survey 5-Year Estimates, Table S1810.

Abstract

In NSS 36th and 47th round surveys, information was collected on three types of physical disabilities - visual, communication and loco motor - along with the cause of disability, aid/appliance acquired by the disabled, general and vocational educational level of the disabled etc. In addition, data on developmental milestones and behavioural pattern of all children of age 5-14 years, regardless of whether they were physically disabled or not, were collected.

The Report of the study not found at external Resouce.

Geographic coverage

National, State, Urban , Rural

Analysis unit

Households

Kind of data

Sample survey data [ssd]

Sampling procedure

Outline of Sample Design: A stratified multi-stage design was adopted for the conduct of survey of NSS 58th round. The first-stage units were census villages (panchayat wards for Kerala) in the rural sector and the NSSO Urban Frame Survey (UFS) blocks in the urban sector. The ultimate stage units were households in both the sectors.

Sampling Frame for First-Stage Units:
For the rural sector, the list of Census 1991 villages (panchayat wards for Kerala) and Census 1981 villages for J & K constituted the sampling frame. For the urban sector, the list of latest available Urban Frame Survey (UFS) blocks was considered as the sampling frame.

Stratification

Rural sector: Two special strata were formed as given below at the State/ UT level on the basis of Population Census 1991 viz.

Stratum 1: all FSUs with population between 0 to 50, and Stratum 2: FSUs with population more than 15,000

The special stratum 1 was formed if at least 50 such FSU's were found in a State/UT. Similarly, special stratum 2 was formed if at least 4 such FSUs were found in a State/UT. Otherwise, such FSUs were merged with the general strata.

From the remaining FSUs (not covered under stratum 1 &2) general strata (hereafter, stratum will refer to general stratum unless otherwise mentioned) was formed and numbered 3, 4, 5 …. etc. (even if no special strata have been formed). Each district of a State/UT was normally treated as a separate stratum. However, if the provisional population of the district was greater than or equal to 2.5 million as per Census 2001, the district was divided into two or more strata with more or less equal population as per population census 1991 by grouping contiguous tehsils. However, in Gujarat, some districts were not wholly included in an NSS region. In such cases, the part of the district falling in an NSS region constituted a separate stratum.

Urban sector: In the urban sector, stratum was formed within each NSS region on the basis of size class of towns as per Census 1991 town population except for towns specified in Table 4. The stratum number and their composition (within each region) are given below:

stratum 1: all towns with population (P) < 0.1 million stratum 2: all towns with 0.1= P < 0.5 million stratum 3: all towns with 0.5= P < 1 million
stratum 4,5,6, … each town with P= 1 million

The stratum numbers was retained as above even if, in some regions, some of the stratum is not formed.

Total sample size (FSUs):
A total number of 8338 and 9076 first-stage units were selected for survey in the Central and State samples respectively. The sample size by State and Sector is given in the Annexure

Allocation of total sample to States and UTs:
The total sample FSUs was allocated to the States and UTs in proportion to provisional population as per Census 2001 subject to the availability of investigators ensuring more or less uniform work-load.

Allocation of State/ UT level sample to Rural and Urban sectors:
State/UT level sample was allocated between two sectors in proportion to provisional population as per Census 2001 with double weightage to urban sector.

Allocation of Rural /Urban sector level sample size to strata / sub-strata:
Both rural and urban sector samples allotted to a State/UT were allocated to different strata in proportion to population of the stratum. All the stratum-level allocations were adjusted to multiple of 2. Stratum-level sample size in the urban sector was further allocated to 2 sub-strata in proportion to the number of UFS blocks in them with double weightage to sub-stratum 1 subject to a minimum sample size of 2 or 4 to sub-stratum 1 according as stratum-level allocation is 4 or greater than 4. Sub-stratum level allocations in the urban sector were made even.

Selection of FSUs:
FSUs were selected in the form of two independent sub-samples in both the sectors. For special stratum 2 and all the general strata of rural sector, FSUs were selected by probability proportional to size with replacement (PPSWR) where size was the 1991 census population. For urban sector and special stratum 1 of rural sector, FSUs were selected by simple random sampling without replacement (SRSWOR).

Sampling deviation

There was no deviation from the original sampling design.

Mode of data collection

Face-to-face [f2f]

Research instrument

The schedule on Survey of Disabled Persons (Schedule 26) consists of the following blocks:

Block 0: descriptive identification of sample household
Block 1: identification of sample household
Block 2: particulars of field operation
Block 3: household characteristics
Block 4: demographic and other particulars of household members
Block 5: particulars of disability of the disabled member
Block 6: particulars of enrolment of disabled persons of age 5-14 years
Block 7: remarks by investigator
Block 8: comments by supervisory officer(s)

Labour market status of disabled people, UK, published quarterly, non-seasonally adjusted. Labour Force Survey. These are official statistics in development.