20180122
12134500
1.0
FALSE
Parcels_2025F
5909542.474432
6675606.873731
2110519.627333
2480741.094566
1
003
Projected
GCS_North_American_1983
Linear Unit: Foot_US (0.304801)
NAD_1983_StatePlane_California_V_FIPS_0405_Feet
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20250902
19291300
20250902
19291300
ISO 19139 Metadata Implementation Specification
500000
5000
ISO19139
Mapping Section
Kern County Assessor's Office
GIS Technician
(661) 868-3264
(661) 868-3303
Mapping Section
Kern County Assessor
1115 Truxtun Avenue
Bakersfield
California
93301
US
assessor@kerncounty.com
Monday - Friday, 8:00am - 5:00pm Pacific Time
If you contact us via mail or e-mail, please include your full name, telephone number, and e-mail address for fastest response.
Jim Isbell
Jim R. Isbell
20250717
2.0
http://www.digitalpreservation.gov/formats/fdd/fdd000280.shtml
Nontopological geometry and attribute information for spatial features. Standalone tax roll tables are provided as separate DBF files.
ESRI Shapefile
Mapping Section
Kern County Assessor's Office
GIS Technician
(661) 868-3264
(661) 868-3303
Mapping Section
Kern County Assessor
1115 Truxtun Avenue
Bakersfield
California
93301
US
assessor@kerncounty.com
Monday - Friday, 8:00am - 5:00pm Pacific Time
If you contact us via mail or e-mail, please include your full name, telephone number, and e-mail address for fastest response.
Jim Isbell
Jim R. Isbell
220.00
See ordering instructions online at:
https://www.kerncounty.com/government/departments/assessor-recorder/property/mapping-gis/gis-data
Upon receipt of payment.
10.3.1
http://www.digitalpreservation.gov/formats/fdd/fdd000294.shtml
Nontopological geometry and attribute information for spatial features. Standalone tax roll tables are integrated.
ESRI File Geodatabase
withheld
OneDrive
Secure download link to Microsoft OneDrive account to be provided via e-mail
Kern County GIS Tax Parcels (Land) 2025 Final
2025-06-28T00:00:00
2025 Final
Mapping Section
Kern County Assessor's Office
GIS Technician
(661) 868-3264
(661) 868-3303
Mapping Section
Kern County Assessor
1115 Truxtun Avenue
Bakersfield
California
93301
US
assessor@kerncounty.com
Monday - Friday, 8:00am - 5:00pm Pacific Time
If you contact us via mail or e-mail, please include your full name, telephone number, and e-mail address for fastest response.
Jim Isbell
Jim R. Isbell
vector digital data
This data is intended to provide a reasonable representation of parcels, as defined for property tax assessment purposes, that can be used easily in a computerized geographic information system.
This data is not intended to replace the hardcopy assessment maps or any other official or unofficial county maps, and it is not to be construed as portraying legal ownership or divisions of land for purposes of zoning or subdivision law.
<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>This feature class contains "land" (surface rights) parcel boundaries delineated for property tax assessment purposes.</SPAN></P><P><SPAN>This feature class includes all private, tax-exempt, and state-assessed land parcels listed on the secured tax roll, but does not include mineral rights (subsurface) parcels, mobilehomes, or unsecured entities.</SPAN></P><P><SPAN>Parcels are modeled as planimetric polygons in a seamless fabric comprising the spatial extent of the County of Kern, in the State of California.</SPAN></P><P><SPAN>Tax Roll Data is available in separate database tables, which can be joined to the feature class using the APN9 field as the SQL join key.</SPAN></P></DIV></DIV></DIV>
parcel
apn
ownership
lot
cadastre
cadaster
cadastral
tax
property
assessment
assessor
land
surface
California
Kern
Bakersfield
Arvin
California City
Delano
Maricopa
McFarland
Ridgecrest
Shafter
Taft
Tehachapi
Wasco
San Joaquin Valley
Kern County Assessor's Office, Mapping Section.
Kern Council of Governments.
Merced County Association of Governments.
City of Bakersfield, IT Division, GIS Services.
City of Shafter, IT Department, GIS Division.
<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>SUMMARY:</SPAN></P><P><SPAN>This disclaimer statement requires the data recipient to receive the data "as is" with no warranty, and to hold all data providers not liable for any losses or damages caused by, or resulting from, use of the data. The statement also requires the data recipient to not distribute any portion of the data without a copy of this disclaimer statement. Whereas the Kern Geographic Information Network (Kern GEONET) and its members and other agencies have developed digital geographic data herein referred to as "the Data." Whereas the entity or entities acquiring a copy of the Data are herein referred to as "the Recipient." Whereas the Kern Geographic Information Network and its members, the County of Kern, and other agencies that have developed and contributed the Data which is being transmitted to the Recipient by these agencies are herein referred to as "the Data Providers."</SPAN></P><P><SPAN>I. DISCLAIMER OF LIABILITY AND WARRANTIES:</SPAN></P><P STYLE="text-indent:20;"><SPAN>A. The Recipient understands and agrees that it is possible that errors and omissions will occur in data input or programming done by the Data Providers to provide the data in the form desired. The Recipient further understands and agrees that it is probable that errors and omissions will occur in record keeping processes, especially when large numbers of records are developed and maintained, and that data may not meet the Recipient's standards as to accuracy or completeness. Notwithstanding, the Recipient agrees to take the data "as is", fully expecting that there may be errors and omissions associated with the data.</SPAN></P><P STYLE="text-indent:20;"><SPAN>B. The Recipient further understands and agrees that the Data Providers make absolutely no warranty whatsoever, whether expressed or implied, as to the accuracy, thoroughness, value, quality, validity, merchantability, suitability, condition or fitness for a particular purpose of the data or any programming used to obtain the data, nor as to whether the data are error-free, up-to-date, complete or based upon accurate or meaningful facts.</SPAN></P><P STYLE="text-indent:20;"><SPAN>C. The Recipient further understands and agrees that it will forever waive any and all rights, claims, causes of action or other recourse that it might otherwise have against the Data Providers for any injuries or damages of any type, whether direct, indirect, incidental, consequential or otherwise, resulting from any error or omission in the data or in any programming used to obtain the data, or in any manner arising out of or related to this agreement or the data provided hereunder. The Recipient agrees that the Data Providers shall not be liable to the Recipient for any liability, claim, loss, damage, injury or expense of any kind caused or alleged to be caused, directly or indirectly, by the inadequacy of data obtained from the Data Providers, by any deficiency of the Data Providers or the Recipient systems, by any delay or failure to provide any service, or by any other interruption, disruption or loss of the Recipient operations.</SPAN></P><P><SPAN>II. INDEMNIFICATION:</SPAN></P><P STYLE="text-indent:20;"><SPAN>A. The Recipient agrees that it will provide no copy or partial copy of any data to any other party, including consultants under contract with The Recipient, without disclosing that the copy or partial copy was obtained from the Data Providers and without attaching the Disclaimer of Liability and Warranties paragraph.</SPAN></P><P STYLE="text-indent:20;"><SPAN>B. The Recipient hereby agrees to defend, save, hold harmless and indemnify the Data Providers and signatories to its data sharing agreements and its/their officers, employees and agents against claims by anyone for any loss, injury, damage, risk, cause of action, or liability of any type (including legal fees) incurred by the Recipient or any other person, relating to or arising out of the subject matter of this agreement, or which may be alleged to have been caused, either directly or indirectly, by the acts, conduct, omissions, negligence or lack of good faith of the Data Providers, their officers, agents or employees.</SPAN></P></DIV></DIV></DIV>
Mapping Section
Kern County Assessor's Office
GIS Technician
(661) 868-3264
(661) 868-3303
Mapping Section
Kern County Assessor
1115 Truxtun Avenue
Bakersfield
California
93301
US
assessor@kerncounty.com
Monday - Friday, 8:00am - 5:00pm Pacific Time
If you contact us via mail or e-mail, please include your full name, telephone number, and e-mail address for fastest response.
Jim Isbell
Jim R. Isbell
Esri ArcGIS 10.3.1.4959
1
-120.198674
-117.615785
35.808878
34.772396
County of Kern, State of California, United States of America.
Concurrent with resource updates
%
100
This parcel shapefile is believed to be 100% complete, but completeness is not guaranteed. The assessor's tax roll database (Kern Integrated Property System, or KIPS) is favored as the authoritative object in the process of testing the GIS parcel polygons for completeness. For GIS purposes, it is assumed that KIPS is 100% complete and accurate. Of course, it is possible that KIPS may contain errors and omissions, but there is no other viable "truth" source for comparison. Errors and omissions in KIPS are detected and corrected on an ongoing basis using procedures that are unrelated to the generation of this dataset, although GIS in general has proven to be a useful tool in detecting such errors and omissions.
KIPS contains many different types of taxable entities, including those that correspond to mapped parcel boundaries, but also including business properties and equipment, aircrafts, boats, mobilehomes, and other unmapped entities. Since only a subset of these taxable entities are modeled in this GIS dataset as mapped parcel boundaries, queries have been devised by the assessor's mapping staff to filter the KIPS database to produce a suitable recordset that can be subsequently joined/linked to the parcel polygons modeled in this GIS dataset. The queries have been reasonably well researched and designed in order to extract all possible records which should theoretically be represented by mapped parcel polygons, but for the reasons stated above we cannot guarantee 100% completeness.
After filtering the tax roll database, a two-part "parity test" is performed: The first part compares the tax roll database to the parcel polygons, to detect APN values that exist in the tax roll database but have no match in the polygon dataset. The second part compares the parcel polygons to the tax roll database, to detect APN values that exist in the polygon dataset but have no match in the tax roll database (usually due to data entry errors and APN value changes that failed to get applied during GIS maintenance). These errors and omissions are then corrected and the parity test is performed again, until all possible corrections have been made and perfect parity is achieved between the parcel polygons and the tax roll database.
Topological integrity (the spatial coincidence of vertices along the edges of adjacent features) is believed to be excellent, although not perfect. All parcel boundaries are maintained in a line feature class with topology rules enforced, and APN values are stored as attributes in a point feature class, wherein the points represent parcel centroids. Geoprocessing tools are used to generate polygons from the lines, which are then spatially joined with the points to transfer the APN attributes to the polygons, which are then tested with a series of error detection procedures. Error detection procedures are designed to test line integrity, line attributes, point attributes, and line topology before polygons are even created. Then, after polygons are created, they are tested for overlaps, slivers, APN database parity, and centroid parity.
There is a specific type of logical topology error that has been observed, but cannot be easily or reliably detected with automated procedures. This type of error manifests as two adjacent parcels, separated by a thin sliver/gap that extends from a road or canal corridor at one end, while converging into a common boundary at the other end. This type of gap is difficult to find and correct because it does not form a closed loop or boundary, and therefore does not generate a closed polygon sliver that can be discovered based on its own characteristics or non-parity with other objects. The exact number of such gaps is not known, but is believed to be very small based on our own observations. The width of such a gap is also believed to be very small, likely well under 1 foot per occurrence. It is possible to detect such errors using the ArcGIS "Must Not Overlap" topology rule, along with a large cluster tolerance (such as 0.5 foot), applied to a filtered subset of lines consisting only of street rights-of-way; however, this test also captures numerous instances where curved segments come to a point of cusp, which are in fact valid and quite common. The result of this test is a set of topology errors that must be reviewed visually on a one-by-one basis, a slow and tedious task at best. While this test has been performed and may be performed again periodically, it is not performed on a regular basis; therefore, the probability of this type of error exists, but remains very minimal.
%
Best-guess estimate
99.9
Positional accuracy varies by region, usually under 20 feet in the valley, and up to about 300 feet (although 20-150 feet is more common) in the mountains and desert regions where horizontal control is less reliable due to poor availability of geodetic or survey data.
Horizontal control is provided primarily by the Public Land Survey System (PLSS) comprised of Townships, Ranges, and Sections. PLSS datasets are provided by the Kern County Department of Engineering and Survey Services (ESS). Parcels are always created and maintained in direct relation to the PLSS control data, which is also subject to errors and inaccuracies, so the accuracy of the parcels can only be as accurate as the section corners that they are tied to.
This polygon dataset does not contain any attributes or other indications of positional accuracy. It was compiled by the assessor's staff from two different sources in 2001, one of which was created by digitizing paper maps. Since both of the original data sources contained widespread accuracy problems, some parcels are misrepresented in geometric shape for various reasons. The assessor's staff is continually improving the accuracy and overall data quality.
Three essential aspects of accuracy for tax assessment purposes include 1) the number of segments comprising a parcel's boundary and each segment's length and angle according to legally recorded source documents; 2) modification of a parcel's boundary due to encumbrances such as roads, canals, and easements that diminish the property owner's fair use of the property; and 3) the position of a parcel boundary relative to benchmark features having known coordinates (such as section corners). The assessor's geodatabase actually contains quality codes which are used by mapping staff in the production process, but those codes are not transferred to this polygon dataset, which is a derivative product of a "Master Lines" feature class. The exact number of parcels that are geometrically misrepresented (shaped incorrectly) is unknown, but the line segments can be tallied by their quality codes to quantify "reasonable accuracy". Reasonable accuracy means that the Assessor's mapping staff have plotted the line segments from the best source data that could be located, and due diligence was applied in the plotting and spatial adjustment of the data for maximum fidelity.
In this edition, the tally of line segments by their quality codes is calculated at 43.4 percent reasonably accurate, and 56.6 percent unknown.
[ft_us]
Random-sampled measurements
300
APN attribute values are originally entered into the system using a sem-automated custom tool which requires human attention and operation. Since human attention is involved, these attributes are prone to error, at least at the time of initial entry.
At such time the parcel polygons are generated, APN values are rigorously tested using various procedures designed to detect as many errors as possible, so almost all errors are corrected before an edition is released.
The only error type that cannot be detected by our automated quality-control procedures is a rare instance of two parcels having valid APN values reversed. This type of error is extremely rare, but it has been detected on several occasions. The only method of detection (that we know of) is by deliberate human scrutiny of the GIS parcels compared with the official assessment maps, which is too tedious and time-prohibitive to be practical; therefore, the exact number of errors of this type is unknown, and our estimate of accuracy is based on our past experience and frequency of encounters.
We cannot guarantee perfect accuracy in the APN attribute values, but we are very confident that they are likely to be 99.99% accurate (or better).
%
Best-guess estimate
99.99
This dataset was originally compiled by the Kern County Assessor, in May 2001, from two different sources:
1. The Kern Council of Governments provided the VWGIS data for the entire county (as a one-time dataset copy).
2. The City of Bakersfield provided the their own COBGIS data for the metropolitan Bakersfield area (and continues to share data on an ongoing basis).
The Valley Wide GIS (VWGIS) program and data sets have been established for the purpose of coordinating regional transportation, land use, and air quality planning efforts. The VWGIS serves to provide regional data sets that can be accessed from one central location and which exists in a single, standardized format.
Major data layers include roads, parcels, zoning, general plan, traffic analysis zones, demographics, and air quality grid. The project region is encompassed by the Counties of San Joaquin, Stanislaus, Merced, Madera, Fresno, Kings, Tulare, and Kern.
The participants of the VWGIS program include the California Department of Transportation (Caltrans), the San Joaquin Valley Unified Air Pollution Control District(SJVUAPCD), and the following transportation planning agencies: San Joaquin Council of Governments, Stanislaus Area Association of Governments, Merced County Association of Governments, Madera County Transportation Commission, Council of Fresno County Governments, Kings County Association of Governments, Tulare County Association of Governments, and the Kern Council of Governments.
The program was implemented for 3 years, beginning in 1996 and ending 1998, during which time the Merced County Association of Governments had a special project staff who digitized GIS data from scanned photocopies of all assessment maps on file at the Kern County Assessor's Office.
Valley-Wide GIS Parcel Dataset for Kern County
VWGIS
1998-08-15T00:00:00
The City of Bakersfield has been developing GIS data and applications since the late 1980s. Their dataset encompasses the entire metropolitan Bakersfield area.
In May 2001, the COBGIS data was filtered to obtain all parcels where full assessment map books were represented. The Valley-Wide GIS data was then clipped to remove all parcels in those map books, and the two files were then merged. The resulting file comprised the Kern County Assessor's first parcel polygon dataset. Errors and omissions were corrected over the next 3 years, and the first "complete" county dataset was ready in 2004.
City of Bakersfield GIS Parcel Dataset
COBGIS
2001-05-01T00:00:00
EPSG
5.3(9.0.0)
Parcels_2025F
Feature Class
0
A homogeneous collection of common features, each having the same spatial representation, such as points, lines, or polygons, and a common set of attribute columns.
GIS Dictionary: http://wiki.gis.com/wiki/index.php/Feature_class
OBJECTID
OBJECTID
OID
4
10
0
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
Shape
Shape
Geometry
8
0
0
Feature geometry.
Esri
Coordinates defining the features.
Parcel_Number
Parcel Number
String
36
0
0
Situs_Line1
Situs Line 1
String
80
0
0
Situs_City
Situs City
String
40
0
0
Situs_State
Situs State
String
2
0
0
Situs_ZipCode
Situs Zip Code
String
10
0
0
Owner_Display_Name
Owner Display Name
String
100
0
0
Owner_Addr_Line1
Owner Address Line 1
String
80
0
0
Owner_City
Owner City
String
40
0
0
Owner_State
Owner State
String
2
0
0
Owner_ZipCode
Owner Zip Code
String
10
0
0
Owner_Country
Owner Country
String
60
0
0
Legal_Description
Legal Description
String
200
0
0
Latitude
Latitude
Double
8
38
8
Longitude
Longitude
Double
8
38
8
Subdivision
Subdivision
String
200
0
0
Neighborhood
Neighborhood
String
50
0
0
Shape.STArea()
Shape.STArea()
Double
0
0
0
Shape.STLength()
Shape.STLength()
Double
0
0
0
dataset
0
Simple
FALSE
0
TRUE
FALSE
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