This page contains current and historical labor market information for El Dorado County, California, which, along with Placer, Sacramento, and Yolo Counties are part of the Sacramento-Roseville-Arden Arcade Metropolitan Statistical Area. Some data are available only at the Metropolitan Area level. El Dorado County is part of the Sacramento Economic Market. Questions about these data and the local area economy should be directed to the Local Labor Market Consultant assigned to this area.

The Occupational Employment and Wage Statistics (OEWS) program produces employment and wage estimates for over 800 occupations. These are estimates of the number of people employed in certain occupations and the wages paid to them. The wage data has not been validated by the Bureau of Labor Statistics (BLS) and are not official BLS data series; however, EDD Labor Market Information Division feels that the additional information is useful to users of our wage data.


El Dorado County Gis Data Download


Download File 🔥 https://bytlly.com/2y7NWB 🔥



The Quarterly Census of Employment and Wages (QCEW) program produces a comprehensive tabulation of employment and wage information for workers covered by California Unemployment Insurance laws. The QCEW program serves as a near census of monthly employment and quarterly wage information at the state and county levels and provides the most detailed industry data available. The QCEW data is usually published six months after the end of the quarter.

The most common employment sectors for those who live in El Dorado County, CA, are Health Care & Social Assistance (10,368 people), Professional, Scientific, & Technical Services (8,459 people), and Retail Trade (8,100 people). This chart shows the share breakdown of the primary industries for residents of El Dorado County, CA, though some of these residents may live in El Dorado County, CA and work somewhere else. Census data is tagged to a residential address, not a work address.

The most common employment sectors for those who live in {{nameLower}}, are List{{commonIndustryList}}. This chart shows the share breakdown of the primary industries for residents of {{nameLower}}, though some of these residents may live in {{nameLower}} and work somewhere else. Census data is tagged to a residential address, not a work address.

The principal amounts, sale dates, interest rates, terms, purposes, ratings, costs of issuance, financing team participants, issuance documents, and annual reporting (if applicable), among 67 other data points required under California Government Code section 8855, of the various types of debt issued by all local government agencies in El Dorado County.

Ed-Data is a partnership of the California Department of Education, EdSource, and the Fiscal Crisis and Management Assistance Team/California School Information Services (FCMAT/CSIS) designed to offer educators, policy makers, the legislature, parents, and the public quick access to timely and comprehensive data about K-12 education in California.

Data is from the Centers for Disease Control and Prevention. Hospitalization data is a daily average of Covid-19 patients in hospital service areas that intersect with El Dorado County, an area which may be larger than El Dorado County itself.

Data is from the Centers for Disease Control and Prevention. Hospitalization data is a daily average of Covid-19 patients in hospital service areas that intersect with El Dorado County, an area which may be larger than El Dorado County itself. Read more

Data on this page is reported by the Centers for Disease Control and Prevention. Population and demographic data is from the U.S. Census Bureau. Hospitalization data is reported by individual hospitals to the U.S. Department of Health and Human Services, and it includes confirmed and suspected adult and pediatric patients. The C.D.C. does not provide complete vaccinations data for some counties and caps its vaccination rate figures at 95 percent.

The Project data set consists of the Classified Point Cloud. The Geographical Extent of this dataset extends to the entirety of the CA_UpperSouthAmerican_Eldorado_2019_B19 boundary, approximately 2,275 square miles of the AOIs. Ground Conditions: water at normal levels; no unusual inundation; no snow; leaf off. How the Withheld Points are Identified: Withheld (ignore) points were identified in the files using the standard LAS Withheld bit.

The USGS/BLM contracted Digital Aerial Solutions, LLC to obtain professional services related to the planning, acquisition and development of Light Detection and Ranging (Lidar) data and derivative products. The task order is for a QL1 LiDAR survey to be collected over Alameda, Alpine, Amador, Calveras, El Dorado, Placer, Sacramento, San Joaquin, Santa Clara and Stanislaus counties in California.

Users should be aware that temporal changes may have occurred since this data set was collected and some parts of this data may no longer represent actual surface conditions. Users should not use this data for critical applications without a full awareness of its limitations.

Create custom data files by choosing data area, product type, map projection, file format, datum, etc. A new metadata will be produced to reflect your request using this record as a base. Change to an orthometric vertical datum is one of the many options.

Bulk download of data files in LAZ format, based on a horizontal datum/projection of CA State Plane Zone 2 NAD83(2011) US Survey Feet (EPSG: 6418), and a vertical datum of NAVD88 (GEOID12B) in US Survey feet (EPSG: 6360). This url links to the USGS copy of the files, from which the Entwine Point Tile files originated. These have not been reviewed by OCM and the link is provided here for convenience.

The Data Access Viewer (DAV) allows a user to search for and download elevation, imagery, and land cover data for the coastal U.S. and its territories. The data, hosted by the NOAA Office for Coastal Management, can be customized and requested for free download through a checkout interface. An email provides a link to the customized data, while the original data set is available through a link within the viewer.

The RAW LAS data files included all data points collected. No points have been removed or excluded. A visual qualitative assessment was performed to ensure data completeness. No void areas or missing data exist. The RAW point cloud is of good quality and data passes Fundamental Vertical Accuracy specifications. Void areas (i.e., areas outside the project boundary but within the tiling scheme) are coded using a unique NODATA value. This value is identified in the appropriate location within the file header.

Aerial LiDAR data covers the entire 2,275 square mile Area of Interest intended for this project task. All LiDAR Point Cloud tiles show no edge artifacts or mismatches from tile to tile. Void areas (i.e., areas outside the project boundary but within the tiling scheme) are coded using a unique NODATA value. This value is identified in the appropriate location within the file header. Data cover the entire area specified for this project.

LiDAR Data Processing: Inertial Explorer 8.9 software was used to compute inertial solution file (*.sol) for each mission using ground GPS base station. The resulting solution was checked to ensure a minimum accuracy of +/- 0.05m, combined separation, for horizontal and vertical positions. Inertial Explorer methodology integrates Inertial Navigation Solution by processing the GPS data and Inertial Measurement Unit (IMU). The software applies the reference lever arms for the GPS and IMU during the process to determine the trajectory (position and orientation) of the LiDAR sensor during the acquisition mission. Inertial Explorer generated graphical results was reviewed to ensure that the IMU data was healthy. These results are found in Appendix D.

LiDAR is processed in HxMap by generating point clouds from raw sensor data during the Ingest step. Noise filtering, sensor installation calibration and atmospheric condition parameters are also applied during the ingest process. Once all data is processed through ingest, they are assembled into a block for LiDAR Matching. The LiDAR Matching step resolves LiDAR registration errors which remain in the point clouds after sensor and installation calibration parameters are applied in the ingest step. QA tool is run on the Block after LiDAR Matching to verify quality of results. QA results are reviewed to ensure that, 95% of patches less thand 5cm for Vertical Scan Direction and Vertical Line Separation. Ground control points are also included to assess absolute accuracy for the point cloud data. LiDAR products are finally generated in the Product Generation step as LAS swaths (LAS 1.4). Vertical (Z) shift (calculated from QA step) is also applied during the product generation.

Original point clouds in LAS/LAZ format were restructured as Entwine Point Tiles and stored on Amazon Web Services. The data were re-projected horizontally to WGS84 Web Mercator (EPSG 3857). Vertically, the data were converted to meters and no changes were made to the vertical datum (NAVD88 GEOID12B; EPSG 5703).

References to the entwine point tiles and data reports were ingested into the Digital Coast Data Access Viewer. No changes to the data were made at this point. The Data Access Viewer will access the point cloud as it resides on AWS under the usgs-lidar-public container.

With 191,713 people, El Dorado County is the 29th most populated county in the state of California out of 58 counties. But watch out, El Dorado County, because Shasta County with 181,852 people and Imperial County with 179,578 people are right behind you. 006ab0faaa

text border download

all apps download whatsapp without play store

best bike racing game download

snapchat snap download online

elden ring download