Query Criteria for the Daily frequency of bean consumption Measure

Year Filter: 2015, 2013, 2011
Data Grouped By:County

Data List

CountyCounty ID CountAverage Annual Population EstimateDaily frequency of bean consumption95%CI -LL-95%CI -UL-Statistical Stability
Record Count: 13
** The data have been suppressed because the total number of responses to the question is less than 50 or the relative standard error is greater than 0.30. Consider aggregating years or reducing the number of filters selected, to improve reliability of the data.
Total..1,001,200...Stable
Hawaii County1132,400141,40093.6%92.5%94.5%Stable
Hawaii County18,500141,4006.0%5.1%7.1%Stable
Hawaii County1**********Not Reportable
Honolulu County2652,600696,50093.7%93.1%94.3%Stable
Honolulu County240,300696,5005.8%5.2%6.4%Stable
Honolulu County23,600696,5000.5%0.4%0.7%Stable
Kauai County346,30049,40093.6%92.2%94.8%Stable
Kauai County33,00049,4006.1%5.0%7.5%Stable
Kauai County3**********Not Reportable
Maui County4105,400113,90092.6%91.1%93.8%Stable
Maui County47,300113,9006.4%5.3%7.7%Stable
Maui County4**********Not Reportable

Data Notes

Question Wording:

How many times did you eat beans or lentils? Question is only asked in odd-numbered years.

Statistical Stability

Statistical stability, reported in the data table, is based on a statistic called the "Relative Standard Error," or RSE, which is the standard error expressed as a proportion of the point estimate (e.g., 30% of the point estimate).

"Stable" is displayed when the relative standard error (RSE) is below 0.30 and the count or rate may be considered stable.

"Unstable" is displayed when the RSE is 0.30-0.50. An unstable count or rate may fluctuate widely across time periods due to random variation (chance).

"Very Unstable" is displayed when the RSE is greater than 0.50. A very unstable count or rate should not be used to inform decision. Problems with statistical instability typically occur when there is a small number of health events in a small population. You may combine years or otherwise increase the population size used in the query to achieve a more stable count or rate.

"No Variance" is displayed when there is no record, or only one record in the sample population, for the selected indicator and demographics.

Weighted Survey Data

The percentages reported above have been produced by weighting the sample so that the results better represent the Hawaii population.

Data Sources

Data Issues

Survey Sample

The survey is conducted using scientific telephone survey methods. Both cell phones and land lines are included. Excluded are adults living in group quarters with a central phone system such as college dormitories, nursing homes, military barracks, and prisons. Results have been weighted to the adult population by age, gender, race, education, marital status, home ownership, telephone source (landline versus cell phone), and county of residence.

Average Annual Population Estimate

The denominator includes all survey respondents ages 18 years and older except those with missing, don't know and refused answers. If the query was limited to a particular sub-population-group, only those respondents are included in the denominator.

Asymmetric Confidence Intervals

The confidence bounds are asymmetric. They do not extend evenly above and below the percentage, especially as the percentage gets close to 0% or 100%.

Query Date Time Stamp

These data were queried on: Sat, 17 Nov 2018 19:36:11 HST
The dataset was last updated on: Tue, 5 Jun 2018 19:28:29 HST
The information provided above is from the Hawaii Health Data Warehouse and the Hawaii State Department of Health's Hawaii-IBIS web site (http://ibis.hhdw.org/ibisph-view.). The information published on this website may be reproduced without permission. Please use the following citation: " Retrieved Sat, 17 November 2018 19:36:11 from Hawaii State Department of Health, Hawaii Health Data Warehouse, Indicator-Based Information System for Public Health Web site: http://ibis.hhdw.org/ibisph-view ".

Content updated: Fri, 30 Sep 2016 12:39:59 HST