0.16-acre property near Milton, Santa Rosa County

Each figure in the grid above, where it comes from and the date of the file or map we read.

Acres: Santa Rosa County tax roll (Florida Department of Revenue), 2026 roll.

Land type: Santa Rosa County tax roll (Florida Department of Revenue), 2026 roll.

Zoning: Santa Rosa County zoning map, map built Nov 1, 2026.

Future land use: Santa Rosa County land-use map, map built Nov 1, 2026.

Flood zone: FEMA flood map, as of Sep 2026.

Wetlands: USFWS National Wetlands Inventory, map built Nov 1, 2026.

Just value (county): Santa Rosa County tax roll (Florida Department of Revenue), 2026 roll.

Last sale: Santa Rosa County deed record, recorded Apr 2026.

Florida 2026 taxes: 4% discount if paid in November; due by March 31, 2027.

Sources: Florida Statutes 197.162, 197.333, 197.222 and 194.011. Checked Oct 13, 2026.

Ratings come from FEMA's National Risk Index (v1.20, planning-level) and the public federal and state maps named on each row, not a private climate model. FEMA rates each census tract from expected annual losses, community resilience and social vulnerability, for planning; it is not an assessment of this parcel.

Insured buildings near this parcel, not the parcel itself. FEMA counts claims on buildings with NFIP flood insurance, so land that never had an insured building has no claims to count. The count is the parcel's census block group when it has 10 or more, else its tract's; a count under 10 prints as "Fewer than 10". Source: OpenFEMA NFIP Redacted Claims v3.

Each federal declaration whose designated areas include the county, declared from January 2000 on, counted once by its FEMA disaster number. An emergency declaration and a major-disaster declaration for the same storm are two declarations, as FEMA numbers them. Declarations for tribal lands alone are not counted. The date shown is when the most recent incident began. Types are FEMA's incident types: an evacuation emergency for a storm elsewhere (Hurricane Katrina, 2005) counts under that storm. By kind: 18 major disasters, 13 emergencies and 1 fire-management declaration.

Source: FEMA, OpenFEMA Dataset: Disaster Declarations Summaries - v2, as of October 2026. This product uses the Federal Emergency Management Agency's OpenFEMA API, but is not endorsed by FEMA. The Federal Government or FEMA cannot vouch for the data or analyses derived from these data.

Counted from USGS Annual NLCD land cover (USGS Annual NLCD Collection 1.2, 30 m maps made from Landsat imagery, 2015, 2020 and 2025; public domain, DOI 10.5066/P94UXNTS). A 30 m square counts when it was forest, shrub, grassland, pasture, cropland or wetland in the start year and developed in 2025: NLCD's developed classes, from lawns, parks and roads to dense buildings. The squares are summed over the land within about a mile of this parcel's center on a 240 m grid, so the figures are rounded. "Most of the county" compares the same one-mile figure across the county's land. A satellite land-cover map misses some changes and mislabels a few, so read it as a guide to how fast the area is building out, not a survey. As of 2025 land cover.

This tracks home values, not land values. Land buyers read it as a sign of demand nearby: where homes gain value, builders and buyers follow. A vacant lot can move differently.

How: the change in FHFA's annual five-digit ZIP code index from 2020 and 2024 to 2025, rounded. The index follows repeat sales and refinance appraisals of the same single-family homes with Fannie Mae or Freddie Mac mortgages. It is in today's dollars, not adjusted for inflation, and FHFA calls these local indexes developmental. Where FHFA's sample is too small it publishes no figure, and none prints here.

Source: FHFA House Price Index, all-transactions, annual five-digit ZIP code index, 2025, last updated March 31, 2026. Method: Bogin, Doerner and Larson, “Local House Price Dynamics: New Indices and Stylized Facts”, FHFA Working Paper 16-01.

± is the Census 90% margin of error; a figure comes from the larger census tract when the block group's sample is too small.