This dataset recreates three releases (2015, 2020, and 2022) of The Neighborhood Atlas team’s Area Deprivation Index (ADI) using standardized components. The ADI is a measure that aims to quantify the socioeconomic conditions of census block groups (sometimes used to approximate neighborhoods), originally based on 1990 census tract data and factor loadings. The Neighborhood Atlas team at the University of Wisconsin adapted the ADI to block groups and more recent data, imputing missing data using tract- and county-level data.However, unlike the original index construction method, The Neighborhood Atlas team did not adjust (standardize) individual components before combining them into an overall score. This approach resulted in individual index components measured in dollars, such as income and home value, being overly influential in the final score. This dataset corrects for that by standardizing these components before aggregating, offering a more multi-dimensional view of socioeconomic conditions. The standardized ADI dataset provides continuous rankings for block groups nationwide and decile rankings for block groups within each state.

ADI: An index of socioeconomic status for communities. Dataset ingested directly from BigQuery.

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

ObjectivesTo compare 2 frequently used area-level socioeconomic deprivation indices: the Area Deprivation Index (ADI) and the Social Vulnerability Index (SVI).MethodsIndex agreement was assessed via pairwise correlations, decile score distribution and mean comparisons, and mapping. The 2019 ADI and 2018 SVI indices at the U.S. census tract-level were analyzed.ResultsIndex correlation was modest (R = 0.51). Less than half (44.4%) of all tracts had good index agreement (0–1 decile difference). Among the 6.3% of tracts with poor index agreement (≥6 decile difference), nearly 1 in 5 were classified by high SVI and low ADI scores. Index items driving poor agreement, such as high rents, mortgages, and home values in urban areas with characteristics indicative of socioeconomic deprivation, were also identified.ConclusionsDifferences in index dimensions and agreement indicated that ADI and SVI are not interchangeable measures of socioeconomic deprivation at the tract level. Careful consideration is necessary when selecting an area-level socioeconomic deprivation measure that appropriately defines deprivation relative to the context in which it will be used. How deprivation is operationalized affects interpretation by researchers as well as public health practitioners and policymakers making decisions about resource allocation and working to address health equity.

The table adi_by_census_block_group is part of the dataset Area Deprivation Index (ADI), available at https://columbia.redivis.com/datasets/axrk-7jx8wdwc2. It contains 653217 rows across 10 variables.

Here are the raw data and R code used in the paper "A comparison of two neighborhood-level socioeconomic indices in the United States" by Boscoe and Li currently under review. The raw data and data dictionary are exactly as they were obtained from the National Historical Geographic Information System (NHGIS). The data comprise the 7 American Community Survey variables used to construct the Yost Index at the block group level for the period 2011-2015.

United States County Level Social Deprivation Scores and associated Census Bureau metrics used to compute the scores as well as the sub scores of each. Data are derived from the R package deprivateR, created by Christopher Prener PhD and Timothy Wiemken PhD at Pfizer Inc. Scores include multiple versions of the Social Vulnerability Index, The University of Wisconsin Area Deprivation Index, and the Gini indices.

The table adi_by_zipcode is part of the dataset Area Deprivation Index (ADI), available at https://columbia.redivis.com/datasets/axrk-7jx8wdwc2. It contains 98967 rows across 5 variables.

Relationship between quintiles of neighborhood deprivation as measured by the ADI and COVID-19 rates in Louisiana census tracts (N = 1127).

Area Deprivation Index (ADI) Quintiles (Q) in Louisiana census tracts (N = 1127).

Estimated Cohen’s Kappa and percent disagreement of census tract and block group Federal Information Processing Standards (FIPS) assignments resulting from DeGAUSS and vendor tool geocoding process, stratified by urban/rural category.

Median and IQR values of census tract level indicators in Louisiana.

Results of likelihood ratio tests for differences in percent disagreement among strata of census tract and block group assignments between DeGAUSS and vendor tool geocoding.

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.

This analysis uses Welsh Index of Multiple Deprivation (WIMD) 2019 and Census 2021 data to estimate the proportions of population groups living in areas within each WIMD 2019 deprivation grouping. It identifies where people from various groups are most likely to live in terms of small area (Lower Super Output Area or LSOA) relative deprivation and whether this varies across groups. This analysis presents an overview of how different populations were distributed across Wales at the time of the 2021 Census. It does not take into account the interaction of different characteristics with each other or with deprivation. For example, older age groups have a smaller likelihood of living in the most deprived areas, which may affect populations with different age profiles such as certain ethnic groups, veterans or those in poor health. Results should be interpreted in simple terms of how likely the population was to live in the various deprivation areas of Wales at the time of the 2021 Census, rather than attempting to establish a relationship between specific characteristics and deprivation.

Supplement material for "Disease characteristics in adult-onset dermatomyositis are associated with neighborhood-level area deprivation index," published in the Journal of the American Academy of Dermatology.

The Townsend Deprivation Index is a measure of material deprivation first introduced by Peter Townsend in 1987. A Townsend score can be calculated using a combination of four census variables for any geographical area (provided census data is available for that area). The measure has been widely used in research for health, education and crime to establish whether relationships exist with deprivation. The Townsend scores below were calculated for the UK based on data from the 2011 Census and include a discussion with geographical visualisations of the findings.

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 Data and Resources Summary of IMD 2015 for Barrow-in-FurnessCSV Summary of IMD 2015 for Barrow-in-Furness Local Authority Area