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Query Results for New Jersey Behavioral Risk Factor Survey Data - Fell in Last 12 Months (Adults Age 45+), Age-adjusted

Percentage Who Fell Filter: Had a Fall
Year Filter: 2020
Data Grouped By:County of Residence
Weighted Estimates
The estimated percentages reported above have been produced by weighting the sample so that the results better represent the New Jersey population and to adjust for the probability of selection. The sample sizes reported in the table are unweighted. Estimates calculated using the unweighted sample sizes will not be accurate. Denominator
Unless otherwise indicated, the denominator used for the calculation of these estimates includes all survey respondents 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.)

Question Wording
In the past 12 months, how many times have you fallen?
  • New Jersey Behavioral Risk Factor Survey, Center for Health Statistics, New Jersey Department of Health Suggested citation: New Jersey Behavioral Risk Factor Survey (NJBRFS). New Jersey Department of Health, Center for Health Statistics, New Jersey State Health Assessment Data (NJSHAD) [online]. Accessed at http://nj.gov/health/shad on [date] at [time].
Survey Sample
The New Jersey Behavioral Risk Factor Survey is a survey of non-institutionalized New Jersey adults aged 18 and over conducted using scientific telephone survey methods. Excluded are adults living in group quarters such as college dormitories, nursing homes, military barracks, and prisons. (Individuals who cannot conduct the interview in English or Spanish have also been excluded from the survey since it began in 1991, and cell phone interviewing did not begin until 2011.) Statistical Reliability
The margin of error (MOE) is calculated as the standard error of the estimate multiplied by 1.96. A MOE of 3 percentage points or less is commonly used as a standard of reliability for opinion surveys, although the reliability of a measure should ideally be assessed in conjunction with the specific use to which it will be put.

The relative standard error (RSE) also provides a measure of reliability for statistical estimates. The RSE is computed by dividing the standard error of the estimate by the estimate itself (or its complement, if the estimate itself is a proportion greater than 0.5) and multiplying by 100 to convert it to a percentage. (Estimates with a RSE above 25%-30% are commonly flagged as "unreliable" for government surveys, although the reliability of a measure should ideally be assessed in conjunction with the specific use to which it will be put.) 2018 Data
The NJBRFS query module contains incomplete data for 2018; data for the NJBRFS project were collected from January to March and October to November only and by two different survey companies. Additionally, supplemental data were received from other state BRFSS programs which conducted interviews throughout the year among New Jersey residents as part of a reciprocity agreement. Although the data meet minimum requirements to be included in the national BRFSS public-use data set, please consider the differences in collection when comparing estimates across years.
These data were queried on: Thu, 28 Mar 2024 06:36:53 EDT
The dataset was last updated on: Tue, 12 Dec 2023 01:07:36 EST

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The information provided above is from the Department of Health's NJSHAD web site (https://nj.gov/health/shad). The information published on this website may be reproduced without permission. Please use the following citation: " Retrieved Thu, 28 March 2024 6:36:53 from Department of Health, New Jersey State Health Assessment Data Web site: https://nj.gov/health/shad ".

Content updated: Wed, 31 Dec 1969 19:00:01 EST