Custom Query System
- Short answer: It's a way for you to make your own tables and graphs of our data.
- Longer answer: A custom data query is an interface (set of pages) where the user can select a dataset (e.g., birth) and a measure (e.g, count) and then filter the results to a year, age group, county, etc. to obtain specific data.
- Available datasets are listed in the Dataset Queries drop down menu above.
- Measures can include rates, counts, survey topics, top 10 lists, averages, etc.
- The filter selections depend on the dataset. For example, mortality data can be filtered by year, cause of death, age, sex, and geography (county, municipality).
- Select a dataset from the drop-down menu above.
- Select a measure. Click one of the links on the dataset's Query Measure Selection page (e.g., counts or rates).
- Build your query. Follow the numbered steps (blue bars) on the Query Builder page to build your query. Click on a step bar to expand the step. Make selections to build your query. Making no selection on any or all steps will result in default values (usually "all") being used.
- Select tabulation variables and (optional) graph.
- Submit query. After you have built your query, click the "Submit" button below the last step to run your query.
- View and/or modify your results. From the results page you can Export the data table to Excel, use the three dots in the table headers to sort or filter data columns, or use the Modify Query button to modify your query selections.
For more information about these features and step-by-step examples see the Query Help page or the Query Tips page for more query system information.
- Birth (2008)
- Death (2009)
- Fetal Death (2010)
- Infant Death (2010)
- Inpatient Hospital Discharge (2015)
- Behavioral Risk Factor Survey (2015)
- Emergency Department Visit (2016)
- Communicable Disease Incidence (2017)
- Pregnancy Risk Assessment Monitoring System (2017)
- STD Incidence (2018)
- Life Expectancy (2019)
- HIV Cases and Deaths (2021)
- There are thousands of possible combinations of variables and values that users can choose through the NJSHAD query builder screens. To achieve this degree of flexibility, pre-tabulated data and rates can not be used. Instead, true micro-level records feed the system which pulls from those datasets based on your variable and value selections.
- NJSHAD also contains health status indicator reports with pre-tabulated data, graphs, and contextual information.
- Click Export to Excel at the top left of the Data Table on a query result page to save the results in Microsoft Excel format.
- To save as a PDF, use your browser's Print menu and choose "Save as PDF" or choose "Adobe PDF" as the printer name.
- Instructions for putting query result graphs into other software packages (e.g., PowerPoint or Excel) are given on the Copying NJSHAD Graphs page.
- Use and reproduction of the information published on this website is encouraged and may be done without permission. Please refer to the NJSHAD Citation page for suggested citation styles.
- Choose Query System and Dataset-Specific Help on the bottom right of the Dataset Queries drop-down menu to find definitions, information, instructions, and examples.
- Help icons like these throughout the query modules also provide information necessary to make specific query-related selections.
- The information provided through the NJSHAD query system is intended to support evidenced-based decision making in New Jersey to plan and improve service delivery, evaluate health care systems, and inform policy decisions. Other uses are not permissible.