The Scenario
You are an economic development director. Your agency is writing a workforce-development grant proposal and the deadline is Friday at 5 PM.
The grant requires Q4 employment and average monthly earnings for the Healthcare sector (NAICS 62) in 12 metro-area counties, segmented by workers aged 25 to 44. That data lives in the Census Quarterly Workforce Indicators. You have never pulled QWI data before and your workbook is sitting open and empty.
The bad version:
- You find the Census LED Extraction Tool and configure the geography, industry, and age filters
- The tool generates an 80,000-row state file
- You import it into Excel, filter to your 12 counties, and realize Power Query loses your column types
- You fix the column types, then discover the indicator columns are named
EmpandEarnS, not plain English - You look up the data dictionary, translate six column codes, and manually rename them
- It is Thursday and you have not written a sentence of the grant narrative.
The fast version is one prompt.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent inside your Excel workbook that knows QWI dataset structure, its geographic identifier format, and its indicator codes.
Open the SheetXAI sidebar and type:
For each state/county pair in my workbook, fetch Census QWI data for Q4 2023 — filter to NAICS sector 62 and age group 25–44 — and write employment, average monthly earnings, and net job creation into columns C, D, and E.
SheetXAI calls the QWI API, filters to the right quarter, industry, and age group, and writes the three indicators into the workbook with plain-English column labels. No data dictionary required.
What You Get
A grant-ready table, 12 rows deep:
- Column C — Q4 2023 employment in Healthcare (NAICS 62), ages 25–44
- Column D — average monthly earnings in that segment
- Column E — net job creation in that segment
These are official Census QWI statistics, published quarterly. You can cite the vintage period and dataset in the grant application's data sources section.
What If the Data Is Not Quite Ready
QWI queries have a few consistent complications in Excel workflows.
When your geography list uses metro names instead of county FIPS
Your workbook has "Nashville-Davidson County, TN" in column A rather than numeric FIPS codes.
Convert the metro area names in column A to state and county FIPS codes. Then fetch Census QWI data for Q4 2023, NAICS sector 62, ages 25–44, and write employment and average monthly earnings into columns B and C.
When the grant requires multiple age groups side by side
Your program officer wants the 25–34 and 35–44 breakdowns shown separately.
For each county in my workbook, fetch Census QWI Q4 2023 employment and average earnings for NAICS 62, split by age group: 25–34 in columns C and D, 35–44 in columns E and F.
When you need a multi-quarter trend for the narrative
Your narrative section needs to show healthcare employment has grown over four consecutive quarters.
For each county in my workbook, fetch Census QWI employment in NAICS 62 for Q1 through Q4 2023, ages 25–44. Write one column per quarter into columns C through F. Add a column G showing the Q1-to-Q4 change in absolute numbers.
When you need QWI plus ACS income context in one pass
Your grant asks for both labor demand and worker earnings potential to show the gap between QWI average earnings and area median income.
For each county in my workbook, fetch Census QWI Q4 2023 employment and average monthly earnings for NAICS 62, ages 25–44, into columns C and D. Also fetch ACS 5-year median earnings for full-time workers in NAICS 62 into column E. Add column F showing the gap between ACS median earnings and QWI average monthly earnings × 12.
The pattern: labor market data and income context in one prompt, formatted for the grant table.
Try It
Get the 7-day free trial of SheetXAI and open any workbook with a list of counties, then ask it to pull Census QWI labor market data for a target industry and age segment. The Census Bureau integration is included in every SheetXAI plan. For related workflows, see how to pull SAIPE poverty estimates for school districts or the Census Bureau in Excel overview.