Geospatial data about Yolo County, California Buildings. Export to CAD, GIS, PDF, CSV and access via API.

Geospatial data about Yolo County, California Addresses. Export to CAD, GIS, PDF, CSV and access via API.

Yolo County Open Data Street Centerlines

2020 Census tracts for Yolo County. Census geographies are created ahead of each decennial census to tabulate census data. The geographic files are released ahead of data releases. Blocks are the smallest geographic unit available and are the basis for all other census geographic tabulations. Block groups are an aggregation of blocks; they are the the next level up in the census geography hierarchy. Census tracts are an aggregation level above block groups. They nest within counties.

The use of high-resolution LiDAR, and the products derived from it, allow for levee anatomy to be captured for the surveyed area. The resulting data is a catalog of precise levee location and components. This data can further be used for levee maintenance and management, flood modeling and prediction, as well as levee inventories.

Download data: https://gis.yolocounty.org/website/DEM/Sac_Region_Dem_2006.tif.aux.zip

This shapefile contains tax rate area (TRA) boundaries in Yolo County for the specified assessment roll year. Boundary alignment is based on the 2019 county parcel map. A tax rate area (TRA) is a geographic area within the jurisdiction of a unique combination of cities, schools, and revenue districts that utilize the regular city or county assessment roll, per Government Code 54900. Each TRA is assigned a six-digit numeric identifier, referred to as a TRA number. TRA = tax rate area number

Variables were derived from publicly available databases (e.g. SSURGO). Also shown are spatial characteristics of each cluster and sampled fields that were part of each cluster. Values were derived from Partitioning Around Medoids analysis on the 103 random points assigned to land in organic tomato production in Yolo County, California, USA, i.e. the landscape of study. Soil variables are from the 0–100 cm depth.a A method of soil rating that summarizes the land's potential utilization and productive capacity. Grade 1 (excellent): 100–80; Grade 2 (good): 79–60; Grade 3 (fair): 59–40; Grade 4 (poor): 39–20.b Number of crop rotation types in a 1-mile surrounding square, based on 2008 survey by Richter et al. (2009)c Typical crop grown, based on 2008 survey by Richter et al. (2009)d Agricultural region of Yolo County, as defined by Richter et al. (2009)e Number of ha represented by the cluster, based on the tesselation analysis of the land in organic tomato production.f Proportion of the total landscape area (i.e. land in organic tomato production in Yolo Co., California) represented by the clusterMedoid values of the 12 GIS variables for each of five clusters, i.e. landscape types.

This shapefile contains tax rate area (TRA) boundaries in Yolo County for the specified assessment roll year. Boundary alignment is based on the 2019 county parcel map. A tax rate area (TRA) is a geographic area within the jurisdiction of a unique combination of cities, schools, and revenue districts that utilize the regular city or county assessment roll, per Government Code 54900. Each TRA is assigned a six-digit numeric identifier, referred to as a TRA number. TRA = tax rate area number

The 1989 Yolo County land use survey data set was developed by DWR through its Division of Planning and Local Assistance (DPLA). The data was gathered using aerial photography and extensive field visits, the land use boundaries and attributes were digitized, and the resultant data went through standard quality control procedures before finalizing. The land uses that were gathered were detailed agricultural land uses, and lesser detailed urban and native vegetation land uses. The data was gathered and digitized by staff of DWR’s Central District. Quality control procedures were performed jointly by staff at DWR’s DPLA headquarters and Central District. Important Points about Using this Data Set: 1. The land use boundaries were hand drawn directly on USGS quad maps and then digitized. They were drawn to depict observable areas of the same land use. They were not drawn to represent legal parcel (ownership) boundaries, or meant to be used as parcel boundaries. 2. This survey was a "snapshot" in time. The indicated land use attributes of each delineated area (polygon) were based upon what the surveyor saw in the field at that time, and, to an extent possible, whatever additional information the aerial photography might provide. For example, the surveyor might have seen a cropped field in the photograph, and the field visit showed a field of corn, so the field was given a corn attribute. In another field, the photograph might have shown a crop that was golden in color (indicating grain prior to harvest), and the field visit showed newly planted corn. This field would be given an attribute showing a double crop, grain followed by corn. The DWR land use attribute structure allows for up to three crops per delineated area (polygon). In the cases where there were crops grown before the survey took place, the surveyor may or may not have been able to detect them from the field or the photographs. For crops planted after the survey date, the surveyor could not account for these crops. Thus, although the data is very accurate for that point in time, it may not be an accurate determination of what was grown in the fields for the whole year. If the area being surveyed does have double or multicropping systems, it is likely that there are more crops grown than could be surveyed with a "snapshot". 3. If the data is to be brought into a GIS for analysis of cropped (or planted) acreage, two things must be understood: a. The acreage of each field delineated is the gross area of the field. The amount of actual planted and irrigated acreage will always be less than the gross acreage, because of ditches, farm roads, other roads, farmsteads, etc. Thus, a delineated corn field may have a GIS calculated acreage of 40 acres but will have a smaller cropped (or net) acreage, maybe 38 acres. b. Double and multicropping must be taken into account. A delineated field of 40 acres might have been cropped first with grain, then with corn, and coded as such. To estimate actual cropped acres, the two crops are added together (38 acres of grain and 38 acres of corn) which results in a total of 76 acres of net crop (or planted) acres. 3. Irrigation method data was not collected for this survey. 4. The codes used for water source was different from the 1981 DWR Standard Land Use Legend. Following are the codes used and their meaning: 1. Surface water 3. Ground water A. Combination of surface and ground water 5. During the transfer of data from the INTERGRAPH system to the AUTOCAD system, some attributes were lost. For those polygons that were attributed with either “D” (double cropped) or “I” (intercropped), the second crop has asterisks in the two fields “IRR_TYP2PA” (irrigated or non-irrigated) and “IRR_TYP2PB” (type of irrigation system). There should have been either and “i” or “n” in the “IRR_TYP2PA” field, and a “U” or “*” in the “IRR_TYP2PB” field. 6. Not all land use codes will be represented in the survey.

This shapefile contains tax rate area (TRA) boundaries in Yolo County for the specified assessment roll year. Boundary alignment is based on the 2019 county parcel map. A tax rate area (TRA) is a geographic area within the jurisdiction of a unique combination of cities, schools, and revenue districts that utilize the regular city or county assessment roll, per Government Code 54900. Each TRA is assigned a six-digit numeric identifier, referred to as a TRA number. TRA = tax rate area number

The 2014 Yolo County land use survey data was developed by the State of California, Department of Water Resources (DWR) through its Division of Integrated Regional Water Management (DIRWM) and Division of Statewide Integrated Water Management (DSIWM). Land use boundaries were digitized and land use data were gathered by staff of DWR’s North Central Region using extensive field visits and aerial photography. The land uses that were mapped were detailed agricultural land uses, and lesser detailed urban and native vegetation land uses. The land use data went through standard quality control procedures before final processing. Quality control procedures were performed jointly by staff at DWR’s DSIWM headquarters and North Central Region.

This data represents a land use survey of San Francisco County conducted by the California Department of Water Resources, North Central Region Office staff. Land use field boundaries were digitized with ArcGIS9.3 using 2006 NAIP imagery as the base. Agricultural fields were delineated by following actual field boundaries instead of using the centerlines of roads to represent the field borders. Field boundaries were not drawn to represent legal parcel (ownership) boundaries, and are not meant to be used as parcel boundaries. Yolo County contains only a few, small agricultural areas, one bison pasture in Golden Gate Park, and some community gardens. The land use was entirely photo interpreted using NAIP imagery and Google Earth. Sources of irrigation water were not identified. Before final processing, standard quality control procedures were performed jointly by staff at DWR’s North Central Region, and at DSIWM headquarters under the leadership of Jean Woods. Senior Land and Water Use Supervisor. After quality control procedures were completed, the data was finalized. The positional accuracy of the digital line work, which is based upon the orthorectified NAIP imagery, is approximately 6 meters. The land use attribute accuracy for agricultural fields is high, because almost every delineated field was visited by a surveyor. The accuracy is 95 percent because some errors may have occurred. Possible sources of attribute errors are: a) Human error in the identification of crop types, b) Data entry errors.