The Virginia Health Opportunity Index (HOI) is a group of indicators that provide broad insight into the overall opportunity Virginians have to live long and healthy lives based on the Social Determinants of Health. It is a hierarchical index that allows users to examine social determinants of health at multiple levels of detail in Virginia. It is made up of over 30 variables, combined into 13 indicators, grouped into four profiles, which are aggregated into a single Health Opportunity Index. For more information visualizations visit: https://apps.vdh.virginia.gov/omhhe/hoi/

The Child Opportunity Index is calculated based on Education, Health & Built Environment and Neighborhood Social & Economic Opportunity indicators.

The Kirwan Institute for the Study of Race and Ethnicity at Ohio State University developed the Detroit Regional Opportunity Index to compare levels of opportunity for people growing up in different parts of a region. The Index was developed by combining many different data indicators for opportunity into a single score. More information on the Detroit methodology and composite data can be found here: http://kirwaninstitute.osu.edu/wp-content/uploads/2014/08/20131211neighborhood.pdf

The full report from Kirwan on the Detroit Opportunity project can be found here: http://kirwaninstitute.osu.edu/?my-product=opportunity-for-all-inequity-linked-fate-and-social-justice-in-detroit-and-michigan/

The Center for Regional Change and Rabobank have partnered to develop the Regional Opportunity Index (ROI), an index of community and regional opportunity for understanding social and economic opportunity in California’s communities. The goal of the ROI is to help target resources and policies toward people and places with the greatest need, to foster thriving communities of opportunity for all Californians. It does this by incorporating both a "people" component and a "place" component, integrating economic, infrastructure, environmental, and social indicators in to a comprehensive assessment of the factors driving opportunity.The Regional Opportunity Index was developed through a joint partnership between the UC Davis Center for Regional Change and Rabobank, N.A. Generous support also has been provided by Wells Fargo Bank for continued enhancement of the ROI.Original data sourced from: https://interact.regionalchange.ucdavis.edu/roi/data.html

The table ranks the top 10 Spanish cities based on female leadership and opportunities, assessing factors like government representation and corporate roles.

The Communities of Opportunity designated on the Maryland QAP Comprehensive Opportunity Maps are based on a “Composite Opportunity Index” developed by DHCD. The Composite Opportunity Index uses publicly - available data and is based on three major factors: community health, economic opportunity, and educational opportunity. To be designated a Community of Opportunity, and mapped as such to the Maryland QAP Comprehensive Opportunity Maps, the community must have a Composite Opportunity Index that it is above the statewide average. See Section 3.1 of the Program Guide for more details. https://dhcd.maryland.gov/HousingDevelopment/Documents/rhf/2020Guide.pdf

The Opportunity Mapping data includes census tract level information on the composite index score as well as the intermediate scores for the five key elements of neighborhood opportunity and positive life outcomes: education, economic health, housing and neighborhood quality, mobility and transportation, and health and environment. The level of opportunity score (very low, low, moderate, high, very high) is determined by sorting all census tracts into quintiles based on their index scores. Opportunity Mapping: Methodology and Technical Addendum (July 2019): https://www.psrc.org/media/3503

Analysis of ‘Detroit Regional Opportunity Index’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/ec26de4a-010d-4fcf-8015-a780bcee1963 on 26 January 2022.

--- Dataset description provided by original source is as follows ---

The Kirwan Institute for the Study of Race and Ethnicity at Ohio State University developed the Detroit Regional Opportunity Index to compare levels of opportunity for people growing up in different parts of a region. The Index was developed by combining many different data indicators for opportunity into a single score. More information on the Detroit methodology and composite data can be found here: http://kirwaninstitute.osu.edu/wp-content/uploads/2014/08/20131211neighborhood.pdf

The full report from Kirwan on the Detroit Opportunity project can be found here: http://kirwaninstitute.osu.edu/?my-product=opportunity-for-all-inequity-linked-fate-and-social-justice-in-detroit-and-michigan/

--- Original source retains full ownership of the source dataset ---

The Equity Index is an interactive tool that visually highlights disparities in Tacoma. It is one of the primary tools that City staff, partners, and other decision makers use to help ensure they are making data-informed decisions to improve access to opportunity for all community members.To learn more about the Equity Index, visit: CityofTacoma.org/EquityIndex.For questions, please fill out the Equity Index Inquiries form.

This is a MD iMAP hosted service. Find more information at http://imap.maryland.gov. The Communities of Opportunity designated on the Maryland QAP Comprehensive Opportunity Maps are based on a 'Composite Opportunity Index' developed by DHCD. The Composite Opportunity Index uses publicly - available data and is based on three major factors: community health - economic opportunity - and educational opportunity. To be designated a Community of Opportunity - and mapped as such to the Maryland QAP Comprehensive Opportunity Maps - the community must have a Composite Opportunity Index that it is above the statewide average. See Section 3.1 of the Program Guide for more details. http://mdhousing.org/Website/Programs/rhf/documents/Guide.pdf Last Updated: 03/2016Feature Service Link:https://mdgeodata.md.gov/imap/rest/services/BusinessEconomy/MD_HousingDesignatedAreas/FeatureServer ADDITIONAL LICENSE TERMS: The Spatial Data and the information therein (collectively "the Data") is provided "as is" without warranty of any kind either expressed implied or statutory. The user assumes the entire risk as to quality and performance of the Data. No guarantee of accuracy is granted nor is any responsibility for reliance thereon assumed. In no event shall the State of Maryland be liable for direct indirect incidental consequential or special damages of any kind. The State of Maryland does not accept liability for any damages or misrepresentation caused by inaccuracies in the Data or as a result to changes to the Data nor is there responsibility assumed to maintain the Data in any manner or form. The Data can be freely distributed as long as the metadata entry is not modified or deleted. Any data derived from the Data must acknowledge the State of Maryland in the metadata.

The Opportunity Mapping data includes census tract level information on the composite index score as well as the intermediate scores for the five key elements of neighborhood opportunity and positive life outcomes: education, economic health, housing and neighborhood quality, mobility and transportation, and health and environment. The level of opportunity score (very low, low, moderate, high, very high) is determined by sorting all census tracts into quintiles based on their index scores. Opportunity Mapping: Methodology and Technical Addendum (July 2019): https://www.psrc.org/sites/default/files/opportunitymapping.pdf

Jordan GOI: International Standard and Policy data was reported at 59.000 NA in 2023. This records a decrease from the previous number of 68.000 NA for 2022. Jordan GOI: International Standard and Policy data is updated yearly, averaging 67.500 NA from Dec 2016 (Median) to 2023, with 8 observations. The data reached an all-time high of 73.000 NA in 2021 and a record low of 47.000 NA in 2016. Jordan GOI: International Standard and Policy data remains active status in CEIC and is reported by Milken Institute. The data is categorized under Global Database’s Jordan – Table JO.Milken: Global Opportunity Index.

ObjectiveTo describe the development of an area-level measure of children's opportunity, the Ohio Children's Opportunity Index (OCOI).Data Sources/Study SettingSecondary data were collected from US census based-American Community Survey (ACS), US Environmental Protection Agency, US Housing and Urban Development, Ohio Vital Statistics, US Department of Agriculture-Economic Research Service, Ohio State University Center for Urban and Regional Analysis, Ohio Incident Based Reporting System, IPUMS National Historical Geographic Information System, and Ohio Department of Medicaid. Data were aggregated to census tracts across two time periods.Study DesignOCOI domains were selected based on existing literature, which included family stability, infant health, children's health, access, education, housing, environment, and criminal justice domains. The composite index was developed using an equal weighting approach. Validation analyses were conducted between OCOI and health and race-related outcomes, and a national index.Principal FindingsComposite OCOI scores ranged from 0–100 with an average value of 74.82 (SD, 17.00). Census tracts in the major metropolitan cities across Ohio represented 76% of the total census tracts in the least advantaged OCOI septile. OCOI served as a significant predictor of health and race-related outcomes. Specifically, the average life expectancy at birth of children born in the most advantaged septile was approximately 9 years more than those born in least advantaged septile. Increases in OCOI were associated with decreases in proportion of Black (48 points lower in the most advantaged vs. least advantaged septile), p < 0.001) and Minority populations (54 points lower in most advantaged vs. least advantaged septile, p < 0.001). We found R-squared values > 0.50 between the OCOI and the national Child Opportunity Index scores. Temporally, OCOI decreased by 1% between the two study periods, explained mainly by decreases in the children health, accessibility and environmental domains.ConclusionAs the first opportunity index developed for children in Ohio, the OCOI is a valuable resource for policy reform, especially related to health disparities and health equity. Health care providers will be able to use it to obtain holistic views on their patients and implement interventions that can tackle barriers to childhood development using a more tailored approach.

For display purposes, please use the map image layer: Equity Index 2018 (Tacoma). The Equity Index is an interactive tool visually highlighting disparities in Tacoma. The 2018 iteration uses 20 data points sorted into 4 determinant categories (Accessibility, Economy, Education, and Livability) to determine where community members cannot access services or where services do not meet community needs. It is one of the primary tools that City staff, partners, and other decision-makers use to help ensure they make data-informed decisions to improve access to opportunities for all community members. Tacoma's original 2018 Equity Index was generated by The Kirwan Institute for the Study of Race & Ethnicity for Tacoma's Office of Equity and Human Rights. Please note that while the 2020 version of the Equity Index is also based on 2010 US Census block groups, the 2022 version is based on 2020 US Census block groups. To learn more about the Equity Index, visit: CityofTacoma.org/EquityIndex.For questions, please fill out the Equity Index Inquiries form.

Jordan GOI: Institutional Framework data was reported at 53.000 NA in 2023. This records a decrease from the previous number of 63.000 NA for 2022. Jordan GOI: Institutional Framework data is updated yearly, averaging 72.000 NA from Dec 2016 (Median) to 2023, with 8 observations. The data reached an all-time high of 106.000 NA in 2016 and a record low of 48.000 NA in 2020. Jordan GOI: Institutional Framework data remains active status in CEIC and is reported by Milken Institute. The data is categorized under Global Database’s Jordan – Table JO.Milken: Global Opportunity Index.

Background: Cancer-related cognitive impairment in survivors of pediatric brain tumors is a public health concern, yet studies seldom explore the role of social determinants of health beyond treatment effects. We investigated the influence of neighborhood resources using the Child Opportunity Index (COI) on neuropsychological functioning in survivors. Methods: Intelligence (IQ) and untimed reading and math proficiency were assessed retrospectively in 190 survivors. Multiple regression analyses explored associations among the COI composite and indices (Education, Health-Environment, Social-Economic) and neuropsychological outcomes, controlling for cumulative neurological risk and treatment exposures (Neurological Predictor Scale; NPS) and parental education. Results: Performance was on average within normal limits: IQ (M = 94.08, SD = 15.85, d=.37) with 13.4% of scores below impairment thresholds; reading (M = 95.08, SD = 17.36, d=.28) and math calculation (M = 91.84, SD = 18.82, d=.43) with 16.92% and 20.63% of scores below impairment thresholds, respectively. Each COI domain predicted reading and IQ after controlling for NPS, parental education, and age at diagnosis; however, the Education domain was the only significant predictor of math outcomes. Conclusion: The COI domains significantly predicted IQ and untimed academic skills in survivors, revealing the critical role of neighborhood resources on cognition above and beyond parental education and treatment factors. This is among the first studies to illuminate the influence of neighborhood resources on cognition in survivors. Future research should examine neighborhood context, an understudied construct, with importance in the move toward precision medicine.

Slovenia GOI: International Standard and Policy data was reported at 27.000 NA in 2023. This records a decrease from the previous number of 32.000 NA for 2022. Slovenia GOI: International Standard and Policy data is updated yearly, averaging 34.500 NA from Dec 2016 (Median) to 2023, with 8 observations. The data reached an all-time high of 116.000 NA in 2018 and a record low of 26.000 NA in 2020. Slovenia GOI: International Standard and Policy data remains active status in CEIC and is reported by Milken Institute. The data is categorized under Global Database’s Slovenia – Table SI.Milken: Global Opportunity Index.

The data for the Buffering America’s Waterways Tool was created by aggregating the National Forests to Faucets 2.0 Assessment watershed importance data (IMP) with data on the percent of the riparian area in cropland (% cropland) which was calculated for this analysis.By combining importance to surface drinking water data with the percent riparian area that is cropland, the tool identifies riparian area in watersheds important to surface drinking water that have greatest opportunity for improving water quality by establishing perennial vegetation between croplands and water bodies.The resulting data, or Riparian Area Opportunity, is defined as:Riparian Area Opportunity = (IMP x %cropland)/100where,IMP = Index of Importance to Surface Drinking Water% cropland = Percent cropland in the Riparian Area (10 m, 30 m, or variable width)The result is presented in percentiles (0-100).Note: Due to the resolution of the data, the tool should only be used with other evaluation methods to prescribe practices for specific sites. Pasture land was not included in this analysis due to insufficient high resolution data. Future analysis may address pasture.Field NameDescriptionOBJECTIDOBJECTIDShapeShapeAcresAcresSTATESStatesHUC12HUC12NAMEHUC 12 NameSUM_POPSurface Drinking Water Consumers (Forests to Faucets 2.0)POP_DSDownstream Surface Drinking Water Consumers (Forests to Faucets 2.0)IMP_RForests to Faucets Important Watershed IndexREGIONFS Region NumberREGIONNAMEFS Region NameCROPAC_VarCrop Acres (variable width)PERCROP_Var% Crop (variable width)PERNAT_Var% Natural Cover (variable width)PERDEV_Var% Developed (variable width)PEROTH_Var% Other (variable width)CROPAC_30mCrop Acres (30m)PERCROP_30m% Crop (30m)PERDEV_30m% Natural Cover (30m)PERNAT_30m% Developed (30m)PEROTH_30m% Other (30m)CROPAC_10mCrop Acres (10m)PERCROP_10m% Crop (10m)PERDEV_10m% Natural Cover (10m)PERNAT_10m% Developed (10m)PEROTH_10m% Other (10m)IMPVAR_RRiparian Area Opportunity Index Percentile (variable width)IMP30m_RRiparian Area Opportunity Index Percentile (30m)IMP10m_RRiparian Area Opportunity Index Percentile (10m)

This indicator is an average that measures the distance to an ideal setting for all countries around 4 indicators: 100% birth registration, 100% enrolment in preschool, 100% probability of survival at age 5 and 100% equal remuneration for females doing equal work than males.

Costa Rica GOI: Weighted Rank data was reported at 53.000 NA in 2023. This records an increase from the previous number of 48.000 NA for 2022. Costa Rica GOI: Weighted Rank data is updated yearly, averaging 57.500 NA from Dec 2016 (Median) to 2023, with 8 observations. The data reached an all-time high of 79.000 NA in 2017 and a record low of 48.000 NA in 2022. Costa Rica GOI: Weighted Rank data remains active status in CEIC and is reported by Milken Institute. The data is categorized under Global Database’s Costa Rica – Table CR.Milken: Global Opportunity Index.