Area Deprivation Index state score in 2020. The Area Deprivation Index (ADI) ranks neighborhoods on the basis of socioeconomic disadvantage in the areas of income, education, employment, and housing quality. Areas with greater disadvantage are ranked higher. National scores are normalized to the whole country, and state scores are normalized to a particular state. Higher Area Deprivation Index scores have been shown to correlate with worse health outcomes in measures such as life expectancy. This index was created by researchers at the University of Wisconsin-Madison based on a methodology originally developed by the Health Resources and Services Administration. Areas on this map are ranked against other areas within the state. State scores represent deciles. In other words, they are divided into 10 groups of the same size, where 1 is the lowest rate of disadvantage and 10 is the highest.

The Area Deprivation Index (ADI) can show where areas of deprivation and affluence exist within a community. The ADI is calculated with 17 indicators from the American Community Survey (ACS) having been well-studied in the peer-reviewed literature since 2003, and used for 20 years by the Health Resources and Services Administration (HRSA). High levels of deprivation have been linked to health outcomes such as 30-day hospital readmission rates, cardiovascular disease deaths, cervical cancer incidence, cancer deaths, and all-cause mortality. The 17 indicators from the ADI encompass income, education, employment, and housing conditions at the Census Block Group level.The ADI is available on BigQuery for release years 2018-2020 and is reported as a percentile that is 0-100% with 50% indicating a "middle of the nation" percentile. Data is provided at the county, ZIP, and Census Block Group levels. Neighborhood and racial disparities occur when some neighborhoods have high ADI scores and others have low scores. A low ADI score indicates affluence or prosperity. A high ADI score is indicative of high levels of deprivation. Raw ADI scores and additional statistics and dataviz can be seen in this ADI story with a BroadStreet free account.Much of the ADI research and popularity would not be possible without the excellent work of Dr. Amy Kind and colleagues at HIPxChange and at The University of Wisconsin Madison.This public dataset is hosted in Google BigQuery and is included in BigQuery's 1TB/mo of free tier processing. This means that each user receives 1TB of free BigQuery processing every month, which can be used to run queries on this public dataset. Watch this short video to learn how to get started quickly using BigQuery to access public datasets. What is BigQuery. Dowiedz się więcej

The area deprivation index (ADI) represents a geographic area-based measure of the socioeconomic deprivation experienced by a neighborhood. Higher index values represent higher levels of deprivation and associated with an increased risk of adverse health and health care. It includes factors for the theoretical domains of income, education, employment, and housing quality.

The table adi_by_county is part of the dataset Area Deprivation Index (ADI), available at https://redivis.com/datasets/axrk-7jx8wdwc2. It contains 9426 rows across 8 variables.

The Canadian Index of Multiple Deprivation (CIMD) is an area-based index which used 2016 Census of Population microdata to measure four key dimensions of deprivation at the dissemination area (DA)-level: residential instability, economic dependency, situational vulnerability and ethno-cultural composition. Using factor analysis, DA-level factor scores were calculated for each dimension. Within a dimension, ordered scores were assigned a quintile value, 1 through 5, where 1 represents the least deprived and 5 represents the most deprived. The CIMD allows for an understanding of inequalities in various measures of health and social well-being. While it is a geographically-based index of deprivation and marginalization, it can also be used as a proxy for an individual. The CIMD has the potential to be widely used by researchers on a variety of topics related to socio-economic research. Other uses for the index may include: policy planning and evaluation, or resource allocation.

Topicality: 2018 - 2019Projection: New Zealand Transverse Mercator (NZTM)This dataset contains occupied and unoccupied private dwelling counts from and usually resident population counts from the 2006, 2013, and 2018 Censuses, with percentage changes between the 2013 Census and 2018 Censuses, by statistical area 2.The data is sourced from the Census 2018 data published by Statistics New Zealand (StatsNZ) and Index of Multiple Deprivation by the Ministry of Health/ University of Otago.StatsNZ data: Ministery of Health/University of Otago dataThis layer is offered by Eagle Technology (Official Esri Distributor). Eagle Technology offers services that can be used in the ArcGIS platform. The Content team at Eagle Technology updates the layers on a regular basis and regularly adds new content to the Living Atlas. By using this content and combining it with other data you can create new information products quickly and easily.If you have any questions or comments about the content, please let us now at livingatlas@eagle.co.nz.

BackgroundArea deprivation has been shown to be associated with various adverse health outcomes including communicable as well as non-communicable diseases. Our objective was to assess potential associations between area deprivation and COVID-19 standardized incidence and mortality ratios in Bavaria over a period of nearly 2 years. Bavaria is the federal state with the highest infection dynamics in Germany and demographically comparable to several other European countries.MethodsIn this retrospective, observational ecological study, we estimated the strength of associations between area deprivation and standardized COVID-19 incidence and mortality ratios (SIR and SMR) in Bavaria, Germany. We used official SARS-CoV-2 reporting data aggregated in monthly periods between March 1, 2020 and December 31, 2021. Area deprivation was assessed using the quintiles of the 2015 version of the Bavarian Index of Multiple Deprivation (BIMD 2015) at district level, analyzing the overall index as well as its single domains.ResultsDeprived districts showed higher SIR and SMR than less deprived districts. Aggregated over the whole period, the SIR increased by 1.04 (95% confidence interval (95% CI): 1.01 to 1.07, p = 0.002), and the SMR by 1.11 (95% CI: 1.07 to 1.16, p < 0.001) per BIMD quintile. This represents a maximum difference of 41% between districts in the most and least deprived quintiles in the SIR and 110% in the SMR. Looking at individual months revealed clear linear association between the BIMD quintiles and the SIR and SMR in the first, second and last quarter of 2021. In the summers of 2020 and 2021, infection activity was low.ConclusionsIn more deprived areas in Bavaria, Germany, higher incidence and mortality ratios were observed during the COVID-19 pandemic with particularly strong associations during infection waves 3 and 4 in 2020/2021. Only high infection levels reveal the effect of risk factors and socioeconomic inequalities. There may be confounding between the highly deprived areas and border regions in the north and east of Bavaria, making the relationship between area deprivation and infection burden more complex. Vaccination appeared to balance incidence and mortality rates between the most and least deprived districts. Vaccination makes an important contribution to health equality.

The Index of Multiple Deprivation, commonly known as the IMD, is the official measure of relative deprivation for small areas in England. It is the most widely used of the Indices of Deprivation. The Index of Multiple Deprivation ranks every small area in England from 1 (most deprived area) to 32,844 (least deprived area) (2015). These small areas are called Lower-layer Super Output Areas.

The Indices of Deprivation 2015 provide a set of relative measures of deprivation for small areas (Lower-layer Super Output Areas) across England, based on seven different domains of deprivation: * Income Deprivation * Employment Deprivation * Education, Skills and Training Deprivation * Health Deprivation and Disability * Crime * Barriers to Housing and Services * Living Environment Deprivation

Each of these domains is based on a basket of indicators. As far as is possible, each indicator is based on data from the most recent time point available; in practice most indicators in the Indices of Deprivation 2015 relate to the tax year 2012/13. Combining information from the seven domains produces an overall relative measure of deprivation, the Index of Multiple Deprivation. In addition, there are seven domain-level indices, and two supplementary indices: the Income Deprivation Affecting Children Index and the Income Deprivation Affecting Older People Index. A range of summary measures are available for higher-level geographies which includes local authority districts, in 2015 there were 326 local authority districts. These are based on the geographic boundaries for these areas at the time of publication. The Index of Multiple Deprivation, domain indices and the supplementary indices, together with the higher area summaries, are collectively referred to as the Indices of Deprivation. You will find attached to this dataset resources from not only the 2015 Indices but previous years as well.

Further information can be found at

https://www.gov.uk/government/uploads/system/uploads/attachment_data/file/467901/English_Indices_of_Deprivation_2015_-_Frequently_Asked_Questions.pdf

Several individual-based social deprivation and vulnerability indices have been developed to measure the negative impact of low socioeconomic status on health outcomes. However, their variables and measurable characteristics have not been unequivocally assessed. A comprehensive database literature scoping review was performed to identify all individual-based social deprivation and vulnerability indices. Area-based indices and those developed for pediatric populations were excluded. Data were extracted from all eligible studies and their methodology was assessed with quality criteria. A total of 14 indices were identified, of which 64% (9/14) measured social deprivation and 36% (5/14) measured socioeconomic vulnerability. Sum of weights was the most common scoring system, present in 43% (6/14) of all indices, with no exclusive domains to either vulnerability or deprivation indices. A total of 83 different variables were identified; a very frequent variable (29%; 5/14) related to an individual’s social relationships was “seen any family or friends or neighbors.” Only five deprivation indices reported a specific internal consistency measure, while no indices reported data on reproducibility. This is the first scoping review of individual-based deprivation and vulnerability indices, which may be used interchangeably when measuring the impact of SES on health outcomes.

Census Lower Super Output Area boundaries as of 2011, with indices of multiple deprivation statistics (2019)

Topicality: 2018 and 2023Projection: New Zealand Transverse Mercator (NZTM)This dataset provides a curated selection of key variables from the 2018 and 2023 Censuses, focusing on the most critical measures for individuals, dwellings, households, and families. It is designed to provide essential insights for high-level analysis and decision-making.Data is available at the Statistical Area 1 (SA1) level, with additional higher geographies for 2023, including:Statistical Area 2 (SA2)Statistical Area 3 (SA3)Urban/Rural areasTerritorial AuthoritiesRegional CouncilsThe data is sourced from the 2023 Census data published by Statistics New Zealand (StatsNZ) and Index of Multiple Deprivation by the Ministry of Health/University of Otago.Lookup Tables:Download lookup file for 'Individual part 1' topic from Stats NZ ArcGIS Online or Stats NZ geographic data service.Download lookup file for 'Individual part 2' topic from Stats NZ ArcGIS Online or Stats NZ geographic data service.Download lookup file for 'Dwellings' topic from Stats NZ ArcGIS Online or Stats NZ geographic data service. Download lookup file for 'Households' topic from Stats NZ ArcGIS Online or Stats NZ geographic data service.Download lookup file for 'Family' topic from Stats NZ ArcGIS Online or Stats NZ geographic data service. This layer is offered by Eagle Technology (Official Esri Distributor). Eagle Technology offers services that can be used in the ArcGIS platform. The Content team at Eagle Technology updates the layers on a regular basis and regularly adds new content to the Living Atlas. By using this content and combining it with other data you can create new information products quickly and easily.If you have any questions or comments about the content, please let us now at livingatlas@eagle.co.nz.NotesDeprivation IndexThe NZDep Index measures relative socioeconomic deprivation for geographic areas, not individuals. The specific indicators and boundaries used to calculate NZDep can change between Censuses. As a result, some deprivation index values may appear as null.Data Values-997 and -999 values from the Stats NZ dataset, previously used to represent unavailable or confidential data, have been replaced with 0 to improve compatibility with Smart Mapping and Policy Mapping workflows. Users should note that while this change supports data processing, 0 may represent either valid data or a placeholder for unavailable or confidential values, depending on the context.

Topicality: 2023Projection: New Zealand Transverse Mercator (NZTM)This dataset includes counts and measures for individuals, dwellings, households, families, and extended families from the 2023 Census. Data is available at the Statistical Area 1 (SA1) level, with additional higher geographies for 2023, including:Statistical Area 2 (SA2)Statistical Area 3 (SA3)Urban/Rural areasTerritorial AuthoritiesRegional CouncilsThe data is sourced from the 2023 Census data published by Statistics New Zealand (StatsNZ) and Index of Multiple Deprivation by the Ministry of Health/University of Otago.Lookup Tables:Download lookup file for 'Individual part 1' topic from Stats NZ ArcGIS Online or Stats NZ geographic data service.Download lookup file for 'Individual part 2' topic from Stats NZ ArcGIS Online or Stats NZ geographic data service.Download lookup file for 'Dwellings' topic from Stats NZ ArcGIS Online or Stats NZ geographic data service. Download lookup file for 'Households' topic from Stats NZ ArcGIS Online or Stats NZ geographic data service.Download lookup file for 'Family' topic from Stats NZ ArcGIS Online or Stats NZ geographic data service.This layer is offered by Eagle Technology (Official Esri Distributor). Eagle Technology offers services that can be used in the ArcGIS platform. The Content team at Eagle Technology updates the layers on a regular basis and regularly adds new content to the Living Atlas. By using this content and combining it with other data you can create new information products quickly and easily.If you have any questions or comments about the content, please let us now at livingatlas@eagle.co.nz.NotesDeprivation IndexThe NZDep Index measures relative socioeconomic deprivation for geographic areas, not individuals. The specific indicators and boundaries used to calculate NZDep can change between Censuses. As a result, some deprivation index values may appear as null.Data Values-997 and -999 values from the Stats NZ dataset, previously used to represent unavailable or confidential data, have been replaced with 0 to improve compatibility with Smart Mapping and Policy Mapping workflows. Users should note that while this change supports data processing, 0 may represent either valid data or a placeholder for unavailable or confidential values, depending on the context.

The National Material and Social Deprivation Indices (MSDI) for all Canadian Census enumeration areas (now called dissemination areas) were downloaded July 21, 2017 by CANUE staff from the INSPQ website. The indices were provided in Excel spreadsheets named TableEquivalenceCompleteCanada1991.xlxs; TableEquivalenceCompleteCanada1996.xlxs; TableEquivalenceCompleteCanada2001.xlxs; TableEquivalenceCompleteCanada2006.xlxs; andTableEquivalenceCompleteCanada2011.xlxs. Data for 2016 were provided directly to CANUE by INSPQ.ArcGIS was used by CANUE staff to associate the single link DMTI Spatial postal codes to the Statistics Canada enumeration/dissemination area boundary file, and then spatially join the MSDI data to DMTI single link postal codes using enumeration or dissemination area as a unique identifier. There may be many postal codes within a single enumeration or dissemination area - these will have the same index values. CANUE staff translated the variable names from French to English and added a distance attribute (maximum distance from postal code centroid to boundary of census area).

Descriptive data and age-standardised rates into the intersection between Index of Multiple Deprivation (IMD) and built-up area, and self-reported health status, disability status, and unpaid carer status, by built-up area.

This dataset contains the scores underlying the Index of Multiple Deprivation, 2010. These figures combine values of many indicators into a single score that indicates the overall level of deprivation in each LSOA. A high number indicates a high level of deprivation.

The English Indices of Deprivation provide a relative measure of deprivation at small area level across England. Areas are ranked from least deprived to most deprived on seven different dimensions of deprivation and an overall composite measure of multiple deprivation. Most of the data underlying the 2010 indices are for the year 2008.

The indices have been constructed by the Social Disadvantage Research Centre at the University of Oxford for the Department for Communities and Local Government. All figures can only be reproduced if the source (Department for Communities and Local Government, Indices of Deprivation 2010) is fully acknowledged.

The domains used in the Indices of Deprivation 2010 are: income deprivation; employment deprivation; health deprivation and disability; education deprivation; crime deprivation; barriers to housing and services deprivation; and living environment deprivation. Each of these domains has its own scores and ranks, allowing users to focus on specific aspects of deprivation.

Because the indices give a relative measure, they can tell you if one area is more deprived than another but not by how much. For example, if an area has a rank of 40 it is not half as deprived as a place with a rank of 20.

The Index of Multiple Deprivation was constructed by combining scores from the seven domains. When comparing areas, a higher deprivation score indicates a higher proportion of people living there who are classed as deprived. But as for ranks, deprivation scores can only tell you if one area is more deprived than another, but not by how much.

This dataset was created from a spreadsheet provided by the Department of Communities and Local Government, which can be downloaded here.

The method for calculating the IMD score and underlying indicators is detailed in the report 'The English Indices of Deprivation 2010: Technical Report'.

The data is represented here as Linked Data, using the Data Cube ontology.

Demographic and socioeconomic characteristics of patients in the health system compared to pancreatic cancer patients.

The deprivation index was designed in the late 1990s in order to measure the deprivation of Quebecers on a small geographic scale. It is used for the purposes of researching and monitoring trends on social inequalities in health, developing policies and programs, allocating resources, and evaluating services. It is composed of a material dimension and a social dimension that can be analyzed separately or in combination. The index includes six indicators, all from the 2021 census and calculated on the basis of dissemination areas (DAs). The geographic file includes the national (province of Quebec), regional (health regions (RSS)), and local (territorial service networks (RTS), local service networks (RLS) and local community service centers (CLSC)) versions of the deprivation index. In cases where a broadcast area (AD) straddles two territories (in the RTS, RLS and CLSC versions of the file), it is the AD with the largest proportion of the population that determines which RTS, RLS or CLSC is selected in order to have a single deprivation index value per AD for mapping. All results by AD are available in the equivalence table on the Web site of the National Institute of Public Health of Quebec (INSPQ). For more information on the deprivation index, you can consult The Material and Social Deprivation Index: in brief.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

Regression Coefficients for Social Determinants of Hospital-Level Pancreatic Cancer Care Utilization.

This dataset contains a range of measures which form the Indices of Deprivation 2015 at LSOA level. The boundaries used have been generalised by 50 metres (point remove) for web display. This dataset has been curated mainly for education/teaching purposes. The Index of Multiple Deprivation ranks every small area in England from 1 (most deprived area) to 32,844 (least deprived area). It is common to describe how relatively deprived a small area is by saying whether it falls among the most deprived 10 per cent, 20 per cent or 30 per cent of small areas in England (although there is no definitive cut-off at which an area is described as ‘deprived’). To help with this, deprivation ‘deciles’ are published alongside ranks. This dataset has been published to show the show the IMD Ranks and Deciles for each LSOA for Education purposes. The Indices of Deprivation 2015 provide a set of relative measures of deprivation for small areas (Lower-layer Super Output Areas*) across England, based on seven domains of deprivation. The domains were combined using the following weights to produce the overall Index of Multiple Deprivation (IMD):Income Deprivation (22.5%) Employment Deprivation (22.5%) Education, Skills and Training Deprivation (13.5%) Health Deprivation and Disability (13.5%) Crime (9.3%) Barriers to Housing and Services (9.3%) Living Environment Deprivation (9.3%). Please refer to this web page from Department for Communities and Local Government for more information on the dataset.