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 (QWI). You have never pulled QWI data before.
The bad version:
- You search for QWI and find the Census LED Extraction Tool
- You configure the geography, industry, age, and indicator filters
- The tool generates a bulk download that is 80,000 rows for the entire state
- You spend an hour filtering in Excel to isolate your 12 counties and age group
- You realize the download uses column codes like
EmpandEarnSinstead of plain English - You look up the data dictionary and manually rename six columns
- It is Thursday evening 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 spreadsheet 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 sheet, 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 columns C, D, and E in plain English 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 your grant application's data sources section without a separate verification step.
What If the Data Is Not Quite Ready
QWI queries have a few common complications. SheetXAI handles them inline.
When your geography list uses metro names instead of county FIPS
Your sheet has "Nashville-Davidson County, TN" in column A rather than state and county 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, not combined.
For each county in my sheet, 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, not just Q4
Your narrative section needs to show that healthcare employment has grown over four quarters to support the "growing demand" argument.
For each county in my sheet, 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 (QWI employment) and worker earnings potential (ACS median earnings) so reviewers can see the gap between average QWI earnings and area median income.
For each county in my sheet, 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 for each county into column E. Add a 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 your program officer expects.
Try It
Get the 7-day free trial of SheetXAI and open any sheet with a list of counties or geographies, then ask it to pull Census QWI labor market data for a target industry and demographic 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 Google Sheets overview.