Newark → Florence flights

Fares holding flat at $325 — little reason to time this one

Key takeaways

• $325 was the price in every one of the 5 snapshots collected — no variation observed
• 0% spread between low and high fares means there's no evidence of cheaper or pricier windows
• Median, p25, and p75 are all identical ($325), so quartile-based timing advice isn't meaningful here
• Sample size is thin (5 days) — this is a narrow snapshot, not a full booking-cycle picture
• No dominant carrier was visible in the data, so we can't speak to airline-specific pricing patterns

30-day price trend

See full numbers and stats on the EWR → FLR price history page.

The full picture

The data for Newark (EWR) to Florence (FLR) shows a flat $325 across all 5 snapshots collected, with zero spread between the low and high fares. That's an unusually static picture — normally we'd expect at least some day-to-day fluctuation in cached fares, even over a short window. With the median, 25th percentile, and 75th percentile all landing on the same number, there's no statistical basis for recommending a 'bottom quartile' target price or a cheaper booking window within this dataset.

Because we only have 5 days of snapshots, this isn't enough to characterize a full booking horizon — typically these analyses lean on 30 days of rolling data to identify whether prices soften as departure approaches or spike closer to the travel date. With a sample this thin, any claim about early-booking discounts or last-minute surges would be speculation rather than evidence. It's possible this route is simply priced rigidly by a single carrier or fare class during this period, but we can't confirm that from what's visible here.

No dominant carrier emerged from the data, so we can't comment on whether a specific airline's pricing behavior is driving this stability. The honest takeaway: at $325, this fare has been consistent and may represent a reasonable price to act on, but we don't have enough data density or variation to tell you whether waiting or booking sooner would change the outcome. Treat this as a single data point in a longer story — if you're not booking immediately, it would be worth checking back once more snapshots accumulate to see if the pattern holds or breaks.

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