Query Results for Hawaiʻi Pregnancy Risk Assessment Monitoring System (PRAMS) Data - Infant - birthweight

Query Result Page Options

Query Criteria

Year Filter:	2020, 2021, 2022
Data Grouped By:	County, Infant - birthweight

Chart

Data Table

Low birth weight (<2,500 grams)
	1	Low birth weight (<2,500 grams)	Hawaii County	1	7.8%	6.0%	10.0%	200	2,000	Stable
	1	Low birth weight (<2,500 grams)	Honolulu County	2	7.6%	7.5%	7.7%	800	10,900	Stable
	1	Low birth weight (<2,500 grams)	Kauai County	3	6.9%	5.1%	9.2%	100	800	Stable
	1	Low birth weight (<2,500 grams)	Maui County	4	8.0%	6.2%	10.2%	100	1,700	Stable
Normal birth weight (2,500-3,999 grams)
	2	Normal birth weight (2,500-3,999 grams)	Hawaii County	1	85.9%	83.2%	88.2%	1,700	2,000	Stable
	2	Normal birth weight (2,500-3,999 grams)	Honolulu County	2	86.5%	85.0%	87.9%	9,400	10,900	Stable
	2	Normal birth weight (2,500-3,999 grams)	Kauai County	3	88.0%	85.1%	90.3%	700	800	Stable
	2	Normal birth weight (2,500-3,999 grams)	Maui County	4	86.3%	83.7%	88.6%	1,400	1,700	Stable
High birth weight (4,000+ grams)
	3	High birth weight (4,000+ grams)	Hawaii County	1	6.4%	4.9%	8.3%	100	2,000	Stable
	3	High birth weight (4,000+ grams)	Honolulu County	2	5.9%	4.6%	7.5%	600	10,900	Stable
	3	High birth weight (4,000+ grams)	Kauai County	3	5.2%	3.7%	7.2%	50	800	Stable
	3	High birth weight (4,000+ grams)	Maui County	4	5.7%	4.3%	7.5%	100	1,700	Stable

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Technical Notes

Data Notes

Question Wording:
Infant's weight comes from the birth certificate and is categorized as low (<2,500 grams), normal (2,500-3,999 grams), or high (4,000+ grams).
Weighted Survey Data
The percentages reported above have been produced by weighting the sample so that the results better represent the population of Hawaiʻi. Numerator and denominator data have been rounded to the nearest 100. In cases where the numerator is 49 or less, it is displayed as 50.

Data Sources

Citation: Hawaii State Department of Health, Hawaii Health Data Warehouse, Pregnancy Risk Assessment Monitoring System. [Chart Title, appropriate years(s)]. Published [update date]. Accessed [query date]. [URL]

Data Issue

Statistical Stability

Relative standard error, or RSE, is the standard error expressed as a proportion of the point estimate.

"Stable" is displayed when the RSE is below 0.30.

"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 making.

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.

Survey Sample

PRAMS uses a two-stage, stratified random sampling method to identify the sample. The sampling frame is drawn from birth certificates. Each month, approximately 200 women who are 2 to 4 months post-delivery are chosen. The sample includes only residents of Hawai'i who had a recent live birth in the state. The results are weighted to ensure accurate representation of the population.

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