Numeric county codes used by California government.
sandiegodata.org-county_codes-ca-3
Resources
- ca_county_codes. California Notary codes for counties.
Documentation
These county codes are used in California Department of Education CDS identification numbers, and a variety of other places. They are different from the FIPS codes for counties used by the US Census.
These codes were scraped from a website.
Versions
- Initial version
- Added Census FIPS codes and Census county names
- Fixed error
Documentation Links
- Codes pageThe webpage the codes were scraped from
Contacts
- Wrangler
Packages
- zip https://library-metatab-org.s3.amazonaws.com/sandiegodata.org-county_codes-ca-3.zip
- s3 s3://library.metatab.org/sandiegodata.org-county_codes-ca-3.csv
- csv https://library-metatab-org.s3.amazonaws.com/sandiegodata.org-county_codes-ca-3.csv
- source https://github.com/sandiegodata-projects/planning-database.git
Accessing Packages in Metapack
import metapack as mp
pkg = mp.open_package('https://library-metatab-org.s3.amazonaws.com/sandiegodata.org-county_codes-ca-3.zip')
# Create Dataframes
ca_county_codes_df = pkg.resource('ca_county_codes').dataframe()
Data Dictionary
ca_county_codes
ca_county_codes
| Column Name | Data Type | Description |
|---|---|---|
| notary_code | string | County code used by the California notary and Secretary of State |
| fips_code | string | County code used by the US Census |
| simple_name | string | Simple county name |
| census_name | string | County name in the US Census |
Last Modified 2019-08-08T20:13:28
Packages
- zip https://library-metatab-org.s3.amazonaws.com/sandiegodata.org-county_codes-ca-3.zip
- s3 s3://library.metatab.org/sandiegodata.org-county_codes-ca-3.csv
- csv https://library-metatab-org.s3.amazonaws.com/sandiegodata.org-county_codes-ca-3.csv
- source https://github.com/sandiegodata-projects/planning-database.git
Accessing Packages in Metapack
import metapack as mp
pkg = mp.open_package('https://library-metatab-org.s3.amazonaws.com/sandiegodata.org-county_codes-ca-3.zip')
# Create Dataframes
ca_county_codes_df = pkg.resource('ca_county_codes').dataframe()