About this Dataset

Chronic Wasting Disease Surveillance - CDFW [ds3157] Extended Table

This compilation of layers provides a comprehensive view of CWD-related activities, facilitating informed decision-making and strategic planning for wildlife management and disease prevention efforts. To date, there has not yet been any cases of CWD detected in California and surveillance data will be updated regularly.

This data is associated with the following layers:

Chronic Wasting Disease Sampling Stations - 2025 - CDFW [ds3154] (https://apps.wildlife.ca.gov/bios6/?al=3154),
Participating Meat Processors and Taxidermists - 2025 - CDFW [ds3155] (https://apps.wildlife.ca.gov/bios6/?al=3155),
Chronic Wasting Disease Sampling Stations - 2023-2024 - CDFW [ds3182] (https://apps.wildlife.ca.gov/bios6/?al=3182),
Participating Meat Processors and Taxidermists - 2023-2024 - CDFW [ds3188] (https://apps.wildlife.ca.gov/bios6/?al=3188),
Approved Deer Carcass Disposal Sites - CDFW [ds3156] (https://apps.wildlife.ca.gov/bios6/?al=3156).

These layers include CWD Testing Sites, Participating Meat Processors and Taxidermists (MPT), Carcass Disposal Sites, and comprehensive data on CWD surveillance spanning from 1999 to 2025. This compilation of layers provides a comprehensive view of CWD-related activities, facilitating informed decision-making and strategic planning for wildlife management and disease prevention efforts. For the latest information, please visit https://wildlife.ca.gov/CWD.
Organization: State of California
Last updated: 2025-07-23T20:01:42.190647
Tags: auth_cdfw, california-department-of-fish-and-wildlife, california-natural-resources-agency, caopendata, cdfw, chronic-wasting-disease, cwd, deer, ds3157_20250912_wm, elk, survey, test

Tables

Table 1

@usgov.ca_gov_chronic_wasting_disease_surveillance_cdfw_ds315_391446f5.table_1

54.81 kB
6,950 rows
10 columns

CREATE TABLE table_1 (
  "objectid" BIGINT,
  "test_name" VARCHAR,
  "result" VARCHAR,
  "sex" VARCHAR,
  "age" VARCHAR,
  "hunt_zone" VARCHAR,
  "year" BIGINT,
  "dsu" VARCHAR,
  "sample_type" VARCHAR,
  "species" VARCHAR
);