Public Health Indicators in Chicago

Natality, Mortality, Infectious Disease, Lead Poisoning and Economic Status

By City of Chicago [source]

About this dataset

This public health dataset contains a comprehensive selection of indicators related to natality, mortality, infectious disease, lead poisoning, and economic status from Chicago community areas. It is an invaluable resource for those interested in understanding the current state of public health within each area in order to identify any deficiencies or areas of improvement needed.

The data includes 27 indicators such as birth and death rates, prenatal care beginning in first trimester percentages, preterm birth rates, breast cancer incidences per hundred thousand female population, all-sites cancer rates per hundred thousand population and more. For each indicator provided it details the geographical region so that analyses can be made regarding trends on a local level. Furthermore this dataset allows various stakeholders to measure performance along these indicators or even compare different community areas side-by-side.

This dataset provides a valuable tool for those striving toward better public health outcomes for the citizens of Chicago's communities by allowing greater insight into trends specific to geographic regions that could potentially lead to further research and implementation practices based on empirical evidence gathered from this comprehensive yet digestible selection of indicators

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How to use the dataset

In order to use this dataset effectively to assess the public health of a given area or areas in the city: - Understand which data is available: The list of data included in this dataset can be found above. It is important to know all that are included as well as their definitions so that accurate conclusions can be made when utilizing the data for research or analysis. - Identify areas of interest: Once you are familiar with what type of data is present it can help to identify which community areas you would like to study more closely or compare with one another. - Choose your variables: Once you have identified your areas it will be helpful to decide which variables are most relevant for your studies and research specific questions regarding these variables based on what you are trying to learn from this data set.
- Analyze the Data : Once your variables have been selected and clarified take right into analyzing the corresponding values across different community areas using statistical tests such as t-tests or correlations etc.. This will help answer questions like “Are there significant differences between two outputs?” allowing you to compare how different Chicago Community Areas stack up against each other with regards to public health statistics tracked by this dataset!

Research Ideas

• Creating interactive maps that show data on public health indicators by Chicago community area to allow users to explore the data more easily.
• Designing a machine learning model to predict future variations in public health indicators by Chicago community area such as birth rate, preterm births, and childhood lead poisoning levels.
• Developing an app that enables users to search for public health information in their own community areas and compare with other areas within the city or across different cities in the US

Acknowledgements

If you use this dataset in your research, please credit the original authors. Data Source

License

See the dataset description for more information.

Columns

File: public-health-statistics-selected-public-health-indicators-by-chicago-community-area-1.csv | Column name | Description | |:-----------------------------------------------|:--------------------------------------------------------------------------------------------------| | Community Area | Unique identifier for each community area in Chicago. (Integer) | | Community Area Name | Name of the community area in Chicago. (String) | | Birth Rate | Number of live births per 1,000 population. (Float) | | General Fertility Rate | Number of live births per 1,000 women aged 15-44. (Float) ...

Note: This dataset is historical only and there are not corresponding datasets for more recent time periods. For that more-recent information, please visit the Chicago Health Atlas at https://chicagohealthatlas.org.

This dataset contains a selection of 27 indicators of public health significance by Chicago community area, with the most updated information available. The indicators are rates, percents, or other measures related to natality, mortality, infectious disease, lead poisoning, and economic status. See the full description at https://data.cityofchicago.org/api/assets/2107948F-357D-4ED7-ACC2-2E9266BBFFA2.

Homeland Infrastructure Foundation-Level Data (HIFLD) geospatial data sets containing information on Public Health Departments.

In the United States in 2022, the majority of diagnostic vendors only shared data to health information exchanges (HIE) on a regional or state level. While around ** percent said they contributed data to a private HIE.

The Office for Health Improvement and Disparities (OHID) has published the Public Health Outcomes Framework (PHOF) quarterly data update for March 2023.

The data is presented in an interactive tool that allows users to view it in a user-friendly format. The data tool also provides links to further supporting information, to aid understanding of public health in a local population.

The March release is in addition to the quarterly schedule for the PHOF (May, August, November and February) to incorporate new population estimates from the 2021 Census.

This update includes new data for 20 indicators.

• 1 indicator from the overarching domain, life expectancy at birth and at 65
• 7 indicators from the health improvement domain including hospital admissions related to children and older people, baby’s first feed breastmilk and percentage reporting a long term musculoskeletal (MSK) problem
• 12 indicators from the healthcare and premature mortality indicators including under 75 mortality from various causes and hip fractures

The trend data have been removed for 17 of these indicators as revised mid-year population estimates for 2012 to 2020, based on the 2021 Census, are not yet available.

See the indicator updates document on this page for full details of what’s in this update.

View previous Public Health Outcomes Framework data tool updates.

This Public Health Portfolio (Directly Funded Research - Programme and Training Awards) dataset contains NIHR directly funded research awards where the funding is allocated to an award holder or host organisation to carry out a specific piece of research or complete a training award. The NIHR also invests significantly in centres of excellence, collaborations, services and facilities to support research in England. Collectively these form NIHR infrastructure support. NIHR infrastructure supported projects are available in the Public Health Portfolio (Infrastructure Support) dataset which you can find here.NIHR directly funded research awards (Programmes and Training Awards) that were funded between January 2006 and the present extraction date are eligible for inclusion in this dataset. An agreed inclusion/exclusion criteria is used to categorise awards as public health awards (see below). Following inclusion in the dataset, public health awards are second level coded to one of the four Public Health Outcomes Framework domains. These domains are: (1) wider determinants (2) health improvement (3) health protection (4) healthcare and premature mortality.More information on the Public Health Outcomes Framework domains can be found here.This dataset is updated quarterly to include new NIHR awards categorised as public health awards. Please note that for those Public Health Research Programme projects showing an Award Budget of £0.00, the project is undertaken by an on-call team for example, PHIRST, Public Health Review Team, or Knowledge Mobilisation Team, as part of an ongoing programme of work.Inclusion CriteriaThe NIHR Public Health Overview project team worked with colleagues across NIHR public health research to define the inclusion criteria for NIHR public health research. NIHR directly funded research awards are categorised as public health if they are determined to be ‘investigations of interventions in, or studies of, populations that are anticipated to have an effect on health or on health inequity at a population level.’ This definition of public health is intentionally broad to capture the wide range of NIHR public health research across prevention, health improvement, health protection, and healthcare services (both within and outside of NHS settings). This dataset does not reflect the NIHR’s total investment in public health research. The intention is to showcase a subset of the wider NIHR public health portfolio. This dataset includes NIHR directly funded research awards categorised as public health awards. This dataset does not include public health awards or projects funded by any of the three NIHR Research Schools or NIHR Health Protection Research Units.DisclaimersUsers of this dataset should acknowledge the broad definition of public health that has been used to develop the inclusion criteria for this dataset. Please note that this dataset is currently subject to a limited data quality review. We are working to improve our data collection methodologies. Please also note that some awards may also appear in other NIHR curated datasets. Further InformationFurther information on the individual awards shown in the dataset can be found on the NIHR’s Funding & Awards website here. Further information on individual NIHR Research Programme’s decision making processes for funding health and social care research can be found here.Further information on NIHR’s investment in public health research can be found as follows:The NIHR is one of the main funders of public health research in the UK. Public health research falls within the remit of a range of NIHR Directly Funded Research (Programmes and Training Awards), and NIHR Infrastructure Support. NIHR School for Public Health here.NIHR Public Health Policy Research Unit here. NIHR Health Protection Research Units here.NIHR Public Health Research Programme Health Determinants Research Collaborations (HDRC) here.NIHR Public Health Research Programme Public Health Intervention Responsive Studies Teams (PHIRST) here.

The MN Public Health Data Access portal, maintained by the Minnesota Department of Health (MDH), provides data on over 20 health and environment topics. Data are accessible through charts, tables, and maps, and also may be downloaded from MDH's website. Users may use these data to inform state and local planning and policy, grant writing, research, and more.

This catalog record includes detailed variable-level descriptions, enabling data discovery and comparison. The data are not archived at ICPSR. Users should consult the data owners (via the Roper Center for Public Opinion Research) directly for details on obtaining the data. This collection includes variable-level metadata of Public Health Survey, a survey by Harvard School of Public Health/Robert Wood Johnson Foundation conducted by ICR Survey Research Group. Topics covered in this survey include: Goals of health professionals The data and documentation files for this survey are available through the Roper Center for Public Opinion Research [Roper #31092258]. Frequencies and summary statistics for the 110 variables from this survey are available through the ICPSR social science variable database and can be accessed from the Variables tab.

Public health-related decision-making on policies aimed at controlling the COVID-19 pandemic outbreak depends on complex epidemiological models that are compelled to be robust and use all relevant available data. This data article provides a new combined worldwide COVID-19 dataset obtained from official data sources with improved systematic measurement errors and a dedicated dashboard for online data visualization and summary. The dataset adds new measures and attributes to the normal attributes of official data sources, such as daily mortality, and fatality rates. We used comparative statistical analysis to evaluate the measurement errors of COVID-19 official data collections from the Chinese Center for Disease Control and Prevention (Chinese CDC), World Health Organization (WHO) and European Centre for Disease Prevention and Control (ECDC). The data is collected by using text mining techniques and reviewing pdf reports, metadata, and reference data. The combined dataset includes complete spatial data such as countries area, international number of countries, Alpha-2 code, Alpha-3 code, latitude, longitude, and some additional attributes such as population. The improved dataset benefits from major corrections on the referenced data sets and official reports such as adjustments in the reporting dates, which suffered from a one to two days lag, removing negative values, detecting unreasonable changes in historical data in new reports and corrections on systematic measurement errors, which have been increasing as the pandemic outbreak spreads and more countries contribute data for the official repositories. Additionally, the root mean square error of attributes in the paired comparison of datasets was used to identify the main data problems. The data for China is presented separately and in more detail, and it has been extracted from the attached reports available on the main page of the CCDC website. This dataset is a comprehensive and reliable source of worldwide COVID-19 data that can be used in epidemiological models assessing the magnitude and timeline for confirmed cases, long-term predictions of deaths or hospital utilization, the effects of quarantine, stay-at-home orders and other social distancing measures, the pandemic’s turning point or in economic and social impact analysis, helping to inform national and local authorities on how to implement an adaptive response approach to re-opening the economy, re-open schools, alleviate business and social distancing restrictions, design economic programs or allow sports events to resume.

Public Health England (PHE) has published the Public Health Outcomes Framework (PHOF) quarterly data update for November 2020.

The data are presented in an interactive tool that allows users to view them in a user-friendly format. The data tool also provides links to further supporting information, to aid understanding of public health in a local population.

This update contains:

• more recent data for 42 indicators
• 5 indicators with a revised definition

See link to indicators updated document for full details of what’s in this update.

View previous Public Health Outcomes Framework data tool updates.

Unlocking Data to Inform Public Health Policy and Practice: WP1 Mapping Review Supplementary Excel S1
The data extracted into Excel Tab "S1 Case studies (extracted)" represents information from 31 case studies as part of the "Unlocking Data to Inform Public Health Policy and Practice" project, Workpackage (WP) 1 Mapping Review. Details about the WP1 mapping review can be found in the "Unlocking Data to Inform Public Health Policy and Practice" project report, which can be found via this DOI link: https://doi.org/10.15131/shef.data.21221606

Partners in Information Access for the Public Health Workforce (PHPartners) is a web portal and current awareness service of information for the public health workforce. Alerts the communities to meetings, webinars, new web-born reports (analyses, statistics), datasets, and general news. Currently contains over 4,000 items. This resource was retired on September 14, 2021 and is no longer updated.

Food Safety and Public Health Statistics (2021-2024)

County Health Status Profiles is an annually published report for the State of California by the California Department of Public Health in collaboration with the California Conference of Local Health Officers. Health indicators are measured for 58 counties and California statewide that can be directly compared to national standards and populations of similar composition. Where available, the measurements are ranked and compared with target rates established for Healthy People National Objectives.

For tables where the health indicator denominator and numerator are derived from the same data source, the denominator excludes records for which the health indicator data is missing and unable to be imputed.

For more information see the County Health Status Profiles report.

The Health of the City report summarizes data on community health in Philadelphia through interactive charts and maps. The Health of the City table contains aggregate metrics on population statistics, social determinants of health, and health outcomes that were used to build this report.

Note: This dataset is historical only and there are not corresponding datasets for more recent time periods. For that more-recent information, please visit the Chicago Health Atlas at https://chicagohealthatlas.org. This dataset contains the annual general fertility rate (births per 1,000 females aged 15-44 years) with corresponding 95% confidence intervals, by Chicago community area, for the years 1999 – 2009. See the full dataset description for more information: https://data.cityofchicago.org/api/assets/58E0620E-DF5C-4EE6-AD06-6588164ADCD4

The basic purpose of the Health Interview Survey is to obtain information about the amount and distribution of illness, its effects in terms of disability and chronic impairments, and the kinds of health services people receive. There are five types of records in this core survey, each in a separate data file. The variables in the Household File (Part 1) include type of living quarters, size of family, number of families in household, and geographic region. The variables in the Person File (Part 2) include sex, age, race, marital status, veteran status, education, income, industry and occupation codes, and limits on activity. These variables are found in the Condition, Doctor Visit, and Hospital Episode Files as well. The Person File also supplies data on height, weight, bed days, doctor visits, hospital stays, years at residence, and region variables. The Condition (Part 3), Doctor Visit (Part 4), and Hospital Episode (Part 5) Files contain information on each reported condition, two-week doctor visit, or hospitalization (twelve-month recall), respectively. A sixth, seventh, eighth, and ninth file have been added, along with the five core files. The Alcohol/Health Practices Supplement File (Part 6) includes information on diet, smoking and drinking habits, and health problems. The Bed Days and Dental Care Supplement File (Part 7) contains information on the number of bed days, the number of and reason for dental visits, treatment(s) received, type of dentist seen, and travel time for visit. The Doctor Services Supplement File (Part 8) supplies data on visits to doctors or other health professionals, reasons for visits, health conditions, and operations performed. The Health Insurance Supplement File (Part 9) documents basic demographic information along with medical coverage and health insurance plans, as well as differentiates between hospital, doctor visit, and surgical insurance coverage.

The Centers for Medicare & Medicaid Services (CMS) EHR Incentive Program provides incentive payments for eligible hospitals to adopt and meaningfully use certified health IT. Among the requirements to receive an incentive payment, participating hospitals must report on public health measures. These measures include the electronic reporting of data regarding: immunizations, emergency department visits (syndromic surveillance), reportable infectious disease laboratory results, and electronic patient data to specialized registries, like cancert. As of 2015, stage 2 of the EHR Incentive Program requires hospitals to report on three public health measures, when applicable, and modified stage 2 of the program requires hospitals to report on two of the three measures. This dataset includes the percentage of hospitals who reported on these measures in program years, 2013, 2014 and 2015.

The public health care spending per capita in the public sector in Jamaica was forecast to continuously increase between 2023 and 2025 by **** U.S. dollars (+***** percent). The health care spending per capita is estimated to amount to ****** U.S. dollars in 2025.Data provided by Statista Market Insights are estimates. Find further statistics regarding public health care spending per capita in this context for countries like Mexico, Cuba, and Honduras.