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health reports & Data

Offers information on hundreds of health measures for residents of the state. View data by geography and demographics to understand how health behaviors and outcomes differ across our diverse population.

Build your own report- IBIS

Use this interactive data tool to query the data directly and find the exact information you need.

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New to the site? Check here for tips and instructions.

hawaii health matters

HHDW’s sister-site that presents data in context and features promising practices, funding opportunities, and reports.

demos & data requests

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Report Highlights

2015 PRAMS Data Now Available on Hawaii-IBIS

The 2015 Pregnancy Risk Assessment Monitoring System (PRAMS) data are now available in Hawaii-IBIS. Use the Hawaii-IBIS PRAMS data tool to explore 16 years of data on the attitudes and experiences of women in Hawaii who have recently given birth. Data is available by county and for the state as a whole.

Here are some highlights from the 2015 PRAMS data for Hawaii:

The 2017 Behavioral Risk Factor Surveillance System Data Are Here!!

The results from the 2017 Behavioral Risk Factor Surveillance System (BRFSS) have been added to Hawaii-IBIS. The BRFSS is an annual land line and cell phone telephone survey of Hawaii adults which is weighted to represent the resident population.

In addition to our existing indicators, we have expanded the number of indicators available under Care-Giving, Prescription Medication, Cognitive Decline and Disability. Plus, we have a whole new section on Demographics. Here are some highlights. Use the hyperlinks to create your own queries for each indicator!

Use Hawaii-IBIS  to explore more of the results. You can filter by year, geography, age, sex, and 10 other demographic characteristics and display and group results by two different dimensions.

Introducing Community Reports!

HHDW is proud to introduce a new feature in the Indicator-Based Information System (IBIS)—Community Snapshot Reports.  Want more information about the health status of a particular community in Hawaii? This is the place. We have assembled a series of 22 health indicators from the BRFSS, PRAMS, YTS and YRBS to give you a quick snapshot of the health of community. Just select your community of interest by county or race/ethnicity and quickly see how they are doing compared to the rest of the state. Additional groups of indicators and communities will be added later this year.  Here are a few highlights….

  • In Hawaii, Native Hawaiian high school students are more likely to have current asthma compared to students statewide (17.1% vs 12.7%).
  • 8% of Hawaii County high school students have current asthma compared to 12.7% of students statewide.
  • Native Hawaiian youth in middle school (20.8%) and high school (25.7%) and adults (28.4%) are more likely to meet age-specific physical activity guidelines that their counterparts statewide.
  • Filipino adults are more likely to have diabetes than adults statewide (12.1% vs 8.7%)., but they are less likely to be obese (19.9% vs 23.4%).
  • Almost three-quarters (74.4%) of Honolulu County adults aged 50-75 have been screened for colorectal cancer recently—significantly higher than any other county.
  • Almost 90% of Japanese women have had a mammogram in the past two years compared to 84.4% of women statewide.
  • Japanese adults were more likely to have high cholesterol (34.6%) than adults statewide (30.7%).

Use the Community Snapshot Reports in Hawaii-IBIS to explore more results and see how your community compares to the state. Visit our Introduction page to learn how to run your own Community Report.

Hawaii Birth Count Data Is Now Available in IBIS

There is a new way to create reports from birth certificate data!  Use the powerful new IBIS Birth Query Module to explore Hawaii birth data from 2000 to 2016.  The IBIS Birth Query Module allows users to view de-identified birth record data by many dimensions including:

• geography (mother’s place of residence or infant’s place of birth)

• mother characteristics (age, race/ethnicity and marital status)

• father characteristics (age and race/ethnicity)

• infant characteristics (sex, race/ethnicity, birth weight, gestational age, plurality and more)

• prenatal care characteristics.

And, of course, these dimensions can be further explored using the IBIS data display features for grouping data.  This first edition includes count data only but future iterations will include population denominator data to create rates. Click here to get started.

News & Current Updates

  • 2009-2015 Hawaii Pregnancy Risk Assessment and Monitoring Survey Report

    The latest longitudinal report on the Pregnancy Risk Assessment and Monitoring Survey (PRAMS) is this month’s featured content on Hawaii Health Matters.  This new trend report tracks 23 maternal and infant health measures from 2009-2015, and includes information by county, race/ethnicity, age, and federal poverty level as well as statewide trends. Some of topic areas featured […]

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  • New Hawaii Healthcare Workforce Initiative Report

    The Healthcare Association of Hawaii (HAH) has released the first report from its Healthcare Workforce Initiative. This report focuses on assessing non-physician job demand in Hawaii.  A survey from the last quarter of 2018 through the first quarter of 2019, found more than 2,200 openings among 76 non-physician health care jobs—about a 10% vacancy rate. […]

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  • The 2019 KIDS COUNT Data Book

    Hawaii ranked 24th among states in the 30th edition of the KIDS COUNT Data Book by the Annie E. Casey Foundation. The  KIDS COUNT Data Book is this month’s featured content on HawaiiHealthMatters.org. The data book provides a detailed picture of how children are faring in the United States, ranking states on overall child well-being by using four criteria […]

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  • CDC 500 Cities Indicators Updated on Hawaii Health Matters

    Updated census tract level data is available for CDC 500 Cities health indicators for Honolulu County on Hawaii Health Matters. The data is part of the CDC 500 Cities project which is a collaboration between the Centers for Disease Control and Prevention (CDC), the Robert Wood Johnson Foundation and the CDC Foundation. The project uses […]

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