NFIP counties that have adopted or are in the process of adopting CA Building Codes.

Building code data tables were linked to the county boundaries layer from the DWR Atlas summarized below:

This feature class is used for cartographic purposes, for generating statistical data, and for clipping data. Ideally, state and federal agencies should be using the same framework data for common themes such as county boundaries. This layer provides an initial offering as "best available" at 1:24,000 scale.

The associated data are considered DWR enterprise GIS data, which meet all appropriate requirements of the DWR Spatial Data Standards, specifically the DWR Spatial Data Standard version 3.1, dated September 11, 2019. This data set was not produced by DWR. Data were originally developed and supplied by the California Department of Forestry and Fire Protection.

Geospatial boundary source is as follows: County boundary data***** BACKGROUND ***** In late 1996, the Dept of Conservation (DOC) surveyed state and federal agencies about the county boundary coverage they used. As a result, DOC adopted the 1:24,000 (24K) scale U.S. Bureau of Reclamation (USBR) dataset (USGS source) for their Farmland Mapping and Monitoring Program (FMMP) but with several modifications. Detailed documentation of these changes is provided by FMMP and included in the lineage section of the metadata. A dataset named cnty24k97_1 was made available (approximately 2004) through the California Department of Forestry and Fire Protection - Fire and Resource Assessment Program (CDF - FRAP) and the California Spatial Information Library (CaSIL). In late 2006, the Department of Fish and Game (DFG) reviewed cnty24k97_1. Comparisons were made to a high-quality 100K dataset (co100a/county100k from the former Teale Data Center GIS Solutions Group) and legal boundary descriptions from ( http://www.leginfo.ca.gov ). The cnty24k97_1 dataset was missing Anacapa and Santa Barbara islands. DFG added the missing islands using previously digitized coastline data (coastn27 of State Lands Commission origin), corrected a few county boundaries, built region topology, added additional attributes, and renamed the dataset to county24k. In 2007, the California Mapping Coordinating Committee (CMCC) requested that the California Department of Forestry and Fire Protection (CAL FIRE) resume stewardship of the statewide county boundaries data. CAL FIRE adopted the changes made by DFG and collected additional suggestions for the county data from DFG, DOC, and local ***** THIS VERSION;This version of the county dataset was created as a result of an effort to improve the coastal linework. It uses the previous interior linework from the cnty24k13_1 data but replaces the coastal linework (including islands and inlets) based on NOAA's ERMA coastal dataset (which used NAIP 2010). In addition to the improved linework, additional coding was added to differentiate inlets and bays, islands, and manmade structures such as piers and breakers. Note that some of this coding may not be featured in this specific dataset. This dataset is one of several available datasets that were created as a group designed to work in topological sync with each other. These "paired" datasets include a full county dataset (cnty15_1_full), a basic state dataset (state15_1), an ocean dataset (ocean15_1), and country/state datasets (both full and neighbor-only - cntrystate15_1_full and cntrystate15_1_neighbor, respectively). Further details about these paired datasets can be found in their respective metadata. This specific dataset represents the basic (ie simplified) county dataset without the extra coding that can be found in the "full" dataset. In this dataset, all bays (plus bay islands and constructed features) are merged into the mainland, and coastal features (such as islands and constructed features) are not included. In November 2015, the dataset was adjusted to include a change in the Yuba-Placer county boundary from 2010 that was not yet included in the 14_1 version of the dataset (ord No 5546-B). This change constitutes the difference between the 15_1 and 14_1 versions of this dataset.