The Scenario
You are a school district budget analyst. Title I allocation letters go out to principals in six weeks.
You have 80 school district IDs (LEAIDs) in an Excel workbook. Federal regulations require the most recent Census SAIPE poverty count and poverty rate for children aged 5 to 17 as the basis for Title I allocation. Your state education department will audit the numbers.
The bad version:
- You pull the national Census SAIPE file, which is 14,000 rows
- You use Power Query to filter to your 80 LEAIDs
- Three of your district IDs do not match because the LEAID format in the Census file differs by one leading digit
- You spend two days investigating the mismatch and emailing the state liaison
- The allocation letters go out late and two principals complain to the superintendent.
The fast version is one prompt.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent inside your Excel workbook that knows the SAIPE program, its geographic identifiers, and its vintage year logic.
Open the SheetXAI sidebar and type:
For each school district LEAID in column A, fetch the latest Census SAIPE poverty count and poverty rate for ages 5–17 and write the values into columns B and C.
SheetXAI identifies the most recent SAIPE vintage year, calls the API for all 80 districts, and writes poverty count into column B and poverty rate into column C. Districts that do not match get flagged in column D with the Census-returned status.
What You Get
An audit-ready table, 80 rows complete:
- Column B — SAIPE poverty count for children aged 5–17
- Column C — SAIPE poverty rate for children aged 5–17
- Column D — flag for any LEAID that returned no match
SAIPE is the statutory source for Title I allocation. The numbers SheetXAI pulls are the same numbers the Census Bureau publishes for this purpose.
What If the Data Is Not Quite Ready
SAIPE queries against school district IDs have specific edge cases in Excel workflows.
When your LEAID format does not match the Census format
Your student information system exports LEAIDs without the full leading state code.
Normalize the LEAIDs in column A to the seven-digit Census format with leading state FIPS prefix. Then fetch Census SAIPE poverty count and poverty rate for ages 5–17 for each district into columns B and C.
When you also need county-level SAIPE for comparison
Your state liaison asks for county SAIPE alongside district SAIPE for context.
Pull Census SAIPE county-level median household income and overall poverty rate for every county associated with my districts and add them as columns D and E — use the most recent available vintage year.
When you need a prior-year comparison to show trend
The grant application asks for two years of SAIPE child poverty rates.
For each LEAID in column A, fetch Census SAIPE child poverty rate (ages 5–17) for the two most recent vintage years and write them into columns B and C. Add a column D showing the percentage-point change between the two years.
When you need SAIPE plus ACS median income plus a composite need score
Your allocation formula weights child poverty rate and area median income together.
For each LEAID in column A, fetch Census SAIPE child poverty rate (ages 5–17) into column B. Also fetch ACS 5-year median household income for the district's county into column C. Compute a composite need score as (poverty rate × 0.6) + ((1 — (median income / 80000)) × 0.4) and write it into column D. Rank districts by composite need score descending and write the rank into column E.
The pattern: federal data, local context, and the allocation formula in one prompt, with the ranking done before you open the letter template.
Try It
Get the 7-day free trial of SheetXAI and open any workbook with a list of school district LEAIDs or county identifiers, then ask it to pull Census SAIPE poverty estimates. The Census Bureau integration is included in every SheetXAI plan. For related workflows, see how to pull QWI labor market data or the Census Bureau in Excel overview.