The measure shows the proportion of all adults (aged 18-64) with a learning disability who are known to the council, who are recorded as living in their own home or with their family. The information would have to be captured or confirmed within the reporting period in the year to 31 March.

The definition of individuals 'known to the council' is currently restricted to those adults with a learning disability (with a primary client group of LD) who have been assessed or reviewed by the council during the year (irrespective of whether or not they receive a service) or who should have been reviewed but were not.

'Living on their own or with their family' is intended to describe arrangements where the individual has security of tenure in their usual accommodation, for instance because they own the residence or are part of a household whose head holds such security.

The change from ASC-CAR to SALT resulted in a change to who is included in the measure. Previously, this measure included 'all adults with a learning disability who are known to the council.' However, SALT table LTS001a only captures those clients who have received a long-term service in the reporting year. Furthermore, the measure now only draws on the subset of these clients who have a primary support reason of Learning Disability Support; those clients who may previously have been included in the client group Learning Disability in ASC-CAR might not have a primary support reason of Learning Disability Support, and are now excluded from the measure.

Furthermore, the SALT return was changed in 2015-16 to enable councils to separate the number of people accessing long-term support who are in prison. The Prison column was added as a voluntary data item to SALT table LTS001a. This table is used to calculate ASCOF measures 1E and 1G. As the Prison column is voluntary, councils do not need to complete it. If a council does separate clients that are in prison, the clients in prison will not contribute to their ASCOF denominator. After reviewing the 2015-16 data, very few councils reported clients with learning disabilities in prison so it is not felt that this change will impact on comparability over time for 2015-16.

Only covers people receiving partly or wholly supported care from their Local Authority and not wholly private, self-funded care. Data source: SALT.

Data is Powered by LG Inform Plus and automatically checked for new data on the 3rd of each month.

Proportion of adults with a learning disability who live in their own home or with family

The European Union Statistics on Income and Living Conditions (EU-SILC) collects timely and comparable multidimensional microdata on income, poverty, social exclusion and living conditions.

The EU-SILC collection is a key instrument for providing information required by the European Semester (_[1]) and the European Pillar of Social Rights, and the main source of data for microsimulation purposes and flash estimates of income distribution and poverty rates.

AROPE remains crucial to monitor European social policies, especially to monitor the EU 2030 target on poverty and social exclusion. For more information, please consult EU social indicators.

The EU-SILC instrument provides two types of data:

• Cross-sectional data pertaining to a given time or a certain time period with variables on income, poverty, social exclusion and other living conditions.
• Longitudinal data pertaining to individual-level changes over time, observed periodically over four‐or more year rotation scheme (Annex III (2) of 2019/1700).

EU-SILC collects:

• annual variables,
• three-yearly modules,
• six-yearly modules,
• ad-hoc new policy needs modules,
• optional variables.

The variables collected are grouped by topic and detailed topic and transmitted to Eurostat in four main files (D-File, H-File, R-File and P-file).

The domain ‘Income and Living Conditions’ covers the following topics: persons at risk of poverty or social exclusion, income inequality, income distribution and monetary poverty, living conditions, material deprivation, and EU-SILC ad-hoc modules, which are structured into collections of indicators on specific topics.

In 2023, in addition to annual data, in EU-SILC were collected: the three yearly module on labour market and housing, the six yearly module on intergenerational transmission of advantages and disadvantages, housing difficulties, and the ad hoc subject on households energy efficiency.

Starting from 2021 onwards, the EU quality reports use the structure of the Single Integrated Metadata Structure (SIMS).

_{([1]) The European Semester is the European Union’s framework for the coordination and surveillance of economic and social policies.}

Households Below Average Income anonymised UK Data Archive End User Licence. The data is used to produce the latest annual estimates of the percentage of children, working-age adults and pensioners living in relative and absolute low income, together with statistics on children living in combined low income and material deprivation, and pensioners living in material deprivation, in 2011/12. Historic data are available. For general information : https://www.gov.uk/government/organisations/department-for-work-pensions/series/households-below-average-income-hbai--2

People living in households with very low work intensity are people aged 0-64 living in households where the adults (aged 18-64) worked less than 20% of their total work potential during the past year. Students, those who are retired or who receive any pension (except survivors pension) are excluded. The MIP auxiliary indicator is expressed as a percentage of the population aged 0 to 64. In the table, values are also presented as changes over a three-year period (in percentage points). The data source is the EU Statistics on Income and Living Conditions (EU-SILC).

Percentage of responses in range 0-6 out of 10 (corresponding to 'low wellbeing') for 'Life Satisfaction' in the First ONS Annual Experimental Subjective Wellbeing survey.

The Office for National Statistics has included the four subjective well-being questions below on the Annual Population Survey (APS), the largest of their household surveys.

• Overall, how satisfied are you with your life nowadays?
• Overall, to what extent do you feel the things you do in your life are worthwhile?
• Overall, how happy did you feel yesterday?
• Overall, how anxious did you feel yesterday?

This dataset presents results from the first of these questions, "Overall, how satisfied are you with your life nowadays?" Respondents answer these questions on an 11 point scale from 0 to 10 where 0 is ‘not at all’ and 10 is ‘completely’. The well-being questions were asked of adults aged 16 and older.

Well-being estimates for each unitary authority or county are derived using data from those respondents who live in that place. Responses are weighted to the estimated population of adults (aged 16 and older) as at end of September 2011.

The data cabinet also makes available the proportion of people in each county and unitary authority that answer with ‘low wellbeing’ values. For the ‘life satisfaction’ question answers in the range 0-6 are taken to be low wellbeing.

This dataset contains the percentage of responses in the range 0-6. It also contains the standard error, the sample size and lower and upper confidence limits at the 95% level.

The ONS survey covers the whole of the UK, but this dataset only includes results for counties and unitary authorities in England, for consistency with other statistics available at this website.

At this stage the estimates are considered ‘experimental statistics’, published at an early stage to involve users in their development and to allow feedback. Feedback can be provided to the ONS via this email address.

The APS is a continuous household survey administered by the Office for National Statistics. It covers the UK, with the chief aim of providing between-census estimates of key social and labour market variables at a local area level. Apart from employment and unemployment, the topics covered in the survey include housing, ethnicity, religion, health and education. When a household is surveyed all adults (aged 16+) are asked the four subjective well-being questions.

The 12 month Subjective Well-being APS dataset is a sub-set of the general APS as the well-being questions are only asked of persons aged 16 and above, who gave a personal interview and proxy answers are not accepted. This reduces the size of the achieved sample to approximately 120,000 adult respondents in England.

The original data is available from the ONS website.

Detailed information on the APS and the Subjective Wellbeing dataset is available here.

As well as collecting data on well-being, the Office for National Statistics has published widely on the topic of wellbeing. Papers and further information can be found here.

This feature layer represents Sustainable Development Goal indicator 10.1.1 'Growth Rates of Household Expenditure or Income per Capita Among the Bottom 40 per cent of the Population and the Total Population' for Ireland in 2016. The layer was created using data from the Survey on Income and Living Conditions (SILC) produced by the Central Statistics Office (CSO) and NUTS 3 boundary data produced by Tailte Éireann. The data set includes percentage growth rates of household expenditure or income per capita from 2007 to 2016. Please note SILC data calculations have been performed using Equivalised Net Disposable income which is the closest measure to disposable income per capita available. An Equivalised income is a weighted income based on the household composition. The weight is created by giving the First Adult is the Household a weight of 1, any Second and Subsequent adults a weight of 0.66 and any child a weight of 0.33 e.g. Annual Total household income is €30,000 in a household with 2 adults and 1 child (Weight = 1.99). Annual Equivalised total income = €30,000/1.99 = €15,075.Note that the NUTS 3 boundary refers to the former Regional Authorities established under the NUTS Regulation (Regulation (EU) 1059/2003). These boundaries were subsequently revised in 2016 through Commission Regulation (EU) 2016/2066 amending annexes to Regulation 1059/2003 (more info).

In 2015 UN countries adopted a set of 17 goals to end poverty, protect the planet and ensure prosperity for all as part of a new sustainable development agenda. Each goal has specific targets to help achieve the goals set out in the agenda by 2030. Governments are committed to establishing national frameworks for the achievement of the 17 Goals and to review progress using accessible quality data. With these goals in mind the CSO and Tailte Éireann are working together to link geography and statistics to produce indicators that help communicate and monitor Ireland’s performance in relation to achieving the 17 sustainable development goals.The indicator displayed supports the efforts to achieve goal number 10 which aims to reduce inequality within and among countries.

Cumulative Percentage of American Adults Experiencing Various Levels of Household Affluence Across Age Categories (Standard Errors in Parentheses).

Percentage of responses in range 4-10 out of 10 (corresponding to 'low wellbeing') for 'Anxious Yesterday' in the First ONS Annual Experimental Subjective Wellbeing survey.

The Office for National Statistics has included the four subjective well-being questions below on the Annual Population Survey (APS), the largest of their household surveys.

• Overall, how satisfied are you with your life nowadays?
• Overall, to what extent do you feel the things you do in your life are worthwhile?
• Overall, how happy did you feel yesterday?
• Overall, how anxious did you feel yesterday?

This dataset presents results from the last of these questions, "Overall, how anxious did you feel yesterday?" Respondents answer these questions on an 11 point scale from 0 to 10 where 0 is ‘not at all’ and 10 is ‘completely’. The well-being questions were asked of adults aged 16 and older.

Well-being estimates for each unitary authority or county are derived using data from those respondents who live in that place. Responses are weighted to the estimated population of adults (aged 16 and older) as at end of September 2011.

The data cabinet also makes available the proportion of people in each county and unitary authority that answer with ‘low wellbeing’ values. For the ‘anxious yesterday’ question answers in the range 4-10 are taken to be low wellbeing. Unlike the other questions, in this case a high value of the response corresponds to low wellbeing.

This dataset contains the percentage of responses in the range 4-10. It also contains the standard error, the sample size and lower and upper confidence limits at the 95% level.

The ONS survey covers the whole of the UK, but this dataset only includes results for counties and unitary authorities in England, for consistency with other statistics available at this website.

At this stage the estimates are considered ‘experimental statistics’, published at an early stage to involve users in their development and to allow feedback. Feedback can be provided to the ONS via this email address.

The APS is a continuous household survey administered by the Office for National Statistics. It covers the UK, with the chief aim of providing between-census estimates of key social and labour market variables at a local area level. Apart from employment and unemployment, the topics covered in the survey include housing, ethnicity, religion, health and education. When a household is surveyed all adults (aged 16+) are asked the four subjective well-being questions.

The 12 month Subjective Well-being APS dataset is a sub-set of the general APS as the well-being questions are only asked of persons aged 16 and above, who gave a personal interview and proxy answers are not accepted. This reduces the size of the achieved sample to approximately 120,000 adult respondents in England.

The original data is available from the ONS website.

Detailed information on the APS and the Subjective Wellbeing dataset is available here.

As well as collecting data on well-being, the Office for National Statistics has published widely on the topic of wellbeing. Papers and further information can be found here.

Percentage of responses in range 0-6 out of 10 (corresponding to 'low wellbeing') for 'Happy Yesterday' in the First ONS Annual Experimental Subjective Wellbeing survey.

The Office for National Statistics has included the four subjective well-being questions below on the Annual Population Survey (APS), the largest of their household surveys.

• Overall, how satisfied are you with your life nowadays?
• Overall, to what extent do you feel the things you do in your life are worthwhile?
• Overall, how happy did you feel yesterday?
• Overall, how anxious did you feel yesterday?

This dataset presents results from the third of these questions, "Overall, how happy did you feel yesterday?" Respondents answer these questions on an 11 point scale from 0 to 10 where 0 is ‘not at all’ and 10 is ‘completely’. The well-being questions were asked of adults aged 16 and older.

Well-being estimates for each unitary authority or county are derived using data from those respondents who live in that place. Responses are weighted to the estimated population of adults (aged 16 and older) as at end of September 2011.

The data cabinet also makes available the proportion of people in each county and unitary authority that answer with ‘low wellbeing’ values. For the ‘happy yesterday’ question answers in the range 0-6 are taken to be low wellbeing.

This dataset contains the percentage of responses in the range 0-6. It also contains the standard error, the sample size and lower and upper confidence limits at the 95% level.

The ONS survey covers the whole of the UK, but this dataset only includes results for counties and unitary authorities in England, for consistency with other statistics available at this website.

At this stage the estimates are considered ‘experimental statistics’, published at an early stage to involve users in their development and to allow feedback. Feedback can be provided to the ONS via this email address.

The APS is a continuous household survey administered by the Office for National Statistics. It covers the UK, with the chief aim of providing between-census estimates of key social and labour market variables at a local area level. Apart from employment and unemployment, the topics covered in the survey include housing, ethnicity, religion, health and education. When a household is surveyed all adults (aged 16+) are asked the four subjective well-being questions.

The 12 month Subjective Well-being APS dataset is a sub-set of the general APS as the well-being questions are only asked of persons aged 16 and above, who gave a personal interview and proxy answers are not accepted. This reduces the size of the achieved sample to approximately 120,000 adult respondents in England.

The original data is available from the ONS website.

Detailed information on the APS and the Subjective Wellbeing dataset is available here.

As well as collecting data on well-being, the Office for National Statistics has published widely on the topic of wellbeing. Papers and further information can be found here.

The dataset is a catalog of major residential development projects in Somerset County, NJ. This includes Affordable Housing, Senior housing options, and Market-rate rentalsAffordable Housing Options: With New Jersey having some of the highest housing costs in the county, the state government has implemented several initiatives and programs to provide housing options for low- and moderate-income eligible households. In addition, several municipalities have implemented inclusionary zoning laws, that require property developers to allocate a certain percentage of the units for affordable housing. Somerset county has several affordable housing programs to help low-and moderate-income eligible households and first-time homebuyers, including the Mt. Laurel Doctrine, New Jersey Balanced Housing Program, HUD Public Housing Program, HUD Housing Choice Voucher Program (Section 8). This dataset provides a comprehensive list of all affordable housing projects in the county. The dataset includes ‘inclusionary’ developments that are comprised of both market-rate units and affordable units. It also includes municipality-sponsored and other 100% affordable housing projects, as well as affordable housing created through the redevelopment process. The total number of market rate and affordable housing units in each project is provided. Some projects include a blend of both rental and for-purchase units. Senior Housing Options: There are several housing options in Somerset County for older adults seeking assistance with daily living or those who want to maintain their independence or those who seek to live in communities designed for older adults. These options include – Active Adult Communities: These are communities designed for older adults who can live independently but want to live in a community specifically for older adults. They typically offer amenities such as fitness centers, swimming pools, and social activities. Many independent living communities also offer additional services such as transportation, housekeeping, and meals. Assisted Living Communities: These communities aid with daily living activities such as bathing, dressing, and medication management. They offer a range of services, depending on the level of care needed. Some assisted living communities also offer memory care services for individuals with dementia or Alzheimer's disease. Continuing Care Retirement Communities: These communities offer a continuum of care that includes independent living, assisted living, and skilled nursing care. This allows residents to "age in place" and receive additional care as needed without having to move to a different community. Senior Residence: These communities are restricted to residents who are 55 years of age or older. They typically offer amenities like active adult communities and may have additional features such as golf courses, community centers, and events. Market Rate Rentals: These properties are typically owned/operated by private landlords and are not considered affordable housing and are not subject to government subsidies. These include apartments, condominiums, town homes, single-family homes. The information included in this dataset represents a point-in-time (November 2023) and is subject to change. Furthermore, new, or alternative housing projects may be proposed in future years, which will be incorporated into subsequent dataset updates. Updates to this dataset will take place on an as-needed basis.

Most SNAP participants who can work, do work. SNAP rules require all recipients meet work requirements unless they are exempt because of age or disability or another specific reason. Children, seniors, and those with disabilities comprise almost two-thirds of all SNAP participants. Among households that include someone who is able to work, more than 75 percent* had a job in year before or after receiving SNAP. Forty-three percent of SNAP participants live in a household with earnings. Some of these working individuals are ABAWDs, or able-bodied adults without dependents. ABAWDs must meet special work requirements, in addition to the general work requirements, to maintain their eligibility. An ABAWD is a person between the ages of 18 and 49 who has no dependents and is not disabled. ABAWD stands for Able Bodied Adult Without Dependents.

This layer shows education levels. Counts are broken down by sex. Data is from US Census American Community Survey (ACS) 5-year estimates.Data shown in this layer is a percentage of total households.This layer is symbolized by the percentage of adults (25+) who were not high school graduates. To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top right (in ArcGIS Online). To view only the census tracts that are predominantly in Tempe, add the expression City is Tempe in the map filter settings.A ‘Null’ entry in the estimate indicates that data for this geographic area cannot be displayed because the number of sample cases is too small (per the U.S. Census).Vintage: 2017-2021ACS Table(s): B15002 (Not all lines of these ACS tables are available in this feature layer.)Data downloaded from: Census Bureau's API for American Community Survey Data Preparation: Data curated from Esri Living Atlas clipped to Census Tract boundaries that are within or adjacent to the City of Tempe boundaryDate of Census update: December 8, 2022National Figures: data.census.govAdditional Census data notes and data processing notes are available at the Esri Living Atlas Layer:https://tempegov.maps.arcgis.com/home/item.html?id=84e3022a376e41feb4dd8addf25835a3

Analysis of the proportion of the British adult population experiencing some form of depression in autumn 2022, including experiences of changes in cost of living and household finances. Analysis based on the Opinions and Lifestyle Survey.

Data in table tells us about the year-wise National Family Health Survey- Main Findings.

Indicators used are: Population and Household Profile, Characteristics of Adults (age 15-49), Marriage and fertility, Infant and Child Mortality Rates (per 1,000 live births), Current Use of Family Planning Methods (currently married women age 15-49 years), Unmet Need for Family Planning (currently married women age 15-49 years), Quality of Family Planning Services, Maternal and Child Health includes- Maternity Care (for last birth in the 5 years before the survey), Delivery Care (for births in the 5 years before the survey), Treatment of Childhood Diseases (children under age 5 years), Child Feeding Practices and Nutritional Status of Children, Nutritional Status of Adults (age 15-49 years) includes- Anaemia among Children and Adults 15, Blood Sugar Level among Adults (age 15-49 years)16, Women Age 15-49 Years Who Have Ever Undergone Examinations of: Cervix, breast and oral cavity, Knowledge of HIV/AIDS among Adults (age 15-49 years), Women's Empowerment and Gender Based Violence (age 15-49 years) and Tobacco Use and Alcohol Consumption among Adults (age 15-49 years). NFHS-3 was calculated for 2005-2006 and NFHS-4 for 2015-16 for urban areas, rural areas and total separately.

Projected indicators included are derived from the published 2018-based household projections for England and 2018-based household projections for Scotland for the years 2018 up to 2043. The indicators are the percentage of one-person households, in which the householder is aged 65 years and over and the percentage of one-person households, in which the householder is aged 85 years and over. This dataset has been produced by the Ageing Analysis Team for inclusion in the subnational ageing tool, which was published on July 20, 2020 (see link in Related datasets). The tool is interactive, and users can compare latest and projected measures of ageing for up to four different areas through selection on a map or from a drop-down menu. Note on data availability: England, Wales, Scotland and Northern Ireland independently publish subnational household projections. Each country publishes a different set of age breakdowns and only England and Scotland provide the breakdowns required to calculate the indicators included above.

ObjectiveWest Virginia’s (WV) suicide rate is 50% higher than the national average and is the highest in the Appalachian Region. Appalachia has several social factors that have contributed to greater socioeconomic deprivation, a known contributor of suicide. Given WV’s high prevalence of suicide and poverty, the current study aims to examine the relationship between socioeconomic deprivation and suicide rates in WV.MethodsThe Townsend Deprivation Index (TDI), Social Deprivation Index (SDI), and Social Vulnerability Index (SVI) measured socioeconomic deprivation. Negative binomial regression models assessed the relationship between socioeconomic deprivation scores, individual index items, and suicide rates. Model comparisons evaluated the indices’ ability to assess suicide rates. A backward selection strategy identified additional key items for examining suicide rates.ResultsThere was a significant increase in suicide rates for every 10% increase in TDI (β = 0.04; p < 0.01), SDI (β = 0.03; p = 0.04), and SVI scores (β = 0.05; p < 0.01). Household overcrowding and unemployment had a positive linear relationship with suicide in TDI (β = 0.04, p = 0.02; β = 0.07, p = 0.01), SDI (β = 0.10, p = 0.02; β = 0.01, p

BackgroundAs a result of shared social and structural risk factors, people in households affected by tuberculosis may have an increased risk of chronic conditions; at the same time, tuberculosis screening may be an opportunity for interventions. We sought to describe the prevalence of HIV, nutritional disorders, and noncommunicable diseases (NCDs) among members of tuberculosis-affected households in 3 African countries.Methods and findingsA part of a multicountry cohort study, we screened for tuberculosis, HIV, nutritional disorders (underweight, anaemia, overweight/obesity), and NCDs (diabetes, hypertension, and chronic lung disease) among members of tuberculosis-affected households aged ≥10 years in Mozambique, Tanzania, and Zimbabwe. We describe the prevalence of these conditions, their co-occurence within individuals (multimorbidity) and household-level clustering. Of 2,109 household contacts recruited, 93% (n = 1,958, from 786 households) had complete data and were included in the analysis. Sixty-two percent were female, median age was 27 years, and 0.7% (n = 14) were diagnosed with co-prevalent tuberculosis. Six percent of household members (n = 120) had previous tuberculosis, 15% (n = 294) were living with HIV, 10% (n = 194) had chronic lung disease, and 18% (n = 347) were anaemic. Nine percent of adults (n = 127) had diabetes by HbA1c criteria, 32% (n = 439) had hypertension. By body mass index criteria, 18% household members (n = 341) were underweight while 29% (n = 549) were overweight or obese. Almost half the household members (n = 658) had at least 1 modifiable tuberculosis risk factor. Sixty-one percent of adults (n = 822) had at least 1 chronic condition, 1 in 4 had multimorbidity. While most people with HIV knew their status and were on treatment, people with NCDs were usually undiagnosed and untreated. Limitations of this study include use of point-of-care HbA1c for definition of diabetes and definition of hypertension based on single-day measurements.ConclusionsHouseholds affected by tuberculosis also face multiple other health challenges. Integrated approaches to tuberculosis screening may represent an opportunity for identification and treatment, including prioritisation of individuals at highest risk for tuberculosis to receive preventive therapy.