This dataset contains Hospital Supplier Diversity Plans.

As outlined in Health and Safety Code Section 1339.85-1339.87, licensed hospitals with operating expenses of fifty million dollars ($50,000,000) or more, and each licensed hospital with operating expenses of twenty-five million dollars ($25,000,000) or more that is part of a hospital system, shall submit an annual report to the department on its minority, women, LGBT, and disabled veteran business enterprise procurement efforts during the previous year.

Details on reporting requirements can be found in Section 1339.87.

For more on Hospital Supplier Diversity Plans.

Data notes: The information contained in a hospital’s plan on minority, women, LGBT, and disabled veteran business enterprises is provided for informational purposes only.

Suppliers are not required to disclose the above information to hospitals, and therefore not all diverse spending will be accurately identified.

In 2023, the number of Hispanic and Latino residents in California had surpassed the number of White residents, with about 15.76 million Hispanics compared to 12.96 million white residents. California’s residents California has always held a special place in the American imagination as a place where people can start a new life and increase their personal fortunes. Perhaps due partly to this, California is the most populous state in the United States, with over 39 million residents, which is a significant increase from the number of residents in 1960. California is also the U.S. state with the largest population of foreign born residents. The Californian economy The Californian economy is particularly strong and continually contributes a significant amount to the gross domestic product (GDP) of the United States. Its per-capita GDP is also high, which indicates a high standard of living for its residents. Additionally, the median household income in California has more than doubled from 1990 levels.

This dataset was provided by the Recreational Fisheries Information Network (RecFIN), and contained GPS coordinates for 680 CPFV trips during 1999 and 2001 at depths ranging from 0 - 2200 m. Fishers targeted specific species during each trip, and visited between 1 and 22 locations. Each trip/location combination was considered a unique site and was used as a sample unit in analyses. RecFIN provided information on four hook and line fishing methods: free drift, stationary drift, anchor, and troll. The trolling trips were removed before analysis because they targeted specific pelagic species and therefore provide limited information about diversity. The final data set analyzed for diversity contained information on 130 fish species at 4085 trip/location combinations. Diversity was calculated for each trip/location using the Shannon Index of diversity. Using ArcGIS, 5 x 5 minute grids were created and mean diversity was calculated for each grid cell containing data.

This map shows composite diversity averaged between 4 data sets: RecFIN recreational hook and line, SCCWRP trawls, NMFS benthic trawls, and kelp diver surveys. Diversity (H') was calculated independently for each of the four large datasets on a total of 364 species using the Shannon index of diversity (Shannon and Weaver, 1949). Using ArcGIS, 5 x 5 minute grids were created and mean diversity was calculated for each grid cell containing data. To provide an overall map of diversity, results from the four datasets were combined. To standardize, gridded results from each dataset were divided into quintiles with 5 denoting the greatest diversity and 1 the least diversity. The standardized diversity was averaged where more than one diversity estimate was available for a cell. Standardization re-scales the results from all datasets to the same scale. This process can remove some differences that result from variable collection methods; however, it can also minimize actual differences between habitats.

The Center for Plant Diversity herbarium at the University of California, Davis houses collections primarily of marine macroalgae and from east and west coasts of North America. It is one of four collections in the John M. Tucker Herbarium, the others being vascular, lichens, and bryophytes. Our emphasis is on California species (ca 50% of our collections).

The Shannon Index of diversity was calculated from National Marine Fisheries Service Groundfish Survey Program (NMFS GSP) fish trawl data. Data from 477 fishery independent trawls ranging from 55-1200 m in depth were collected June-November in 1977, 1989, 1992, 1995, and 1997-2002. Including all fish identified to the species level resulted in 189 fish species. Using ArcGIS, 5 x 5 minute grids were created and mean diversity was calculated for each grid cell containing data. Gear included a nor'eastern trawl (127 mm stretched-mesh body; 89 mm stretched-mesh codend; and 32 mm stretched-mesh codend liner) with a rubber bobbin roller which was trawled for 15-30 minutes on the bottom. Zimmerman's (2003) analysis of benthic species biomass was used to cull out the trawls that did not fish the bottom.

About this dataset

Context

The dataset presents the median household income across different racial categories in California. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to gain insights into economic disparities and trends and explore the variations in median houshold income for diverse racial categories.

Key observations

Based on our analysis of the distribution of California population by race & ethnicity, the population is predominantly White. This particular racial category constitutes the majority, accounting for 89.57% of the total residents in California. Notably, the median household income for White households is $45,776. Interestingly, White is both the largest group and the one with the highest median household income, which stands at $45,776.

https://i.neilsberg.com/ch/california-mo-median-household-income-by-race.jpeg" alt="California median household income diversity across racial categories">

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race of the head of household: This column presents the self-identified race of the household head, encompassing all relevant racial categories (excluding ethnicity) applicable in California.
• Median household income: Median household income, adjusting for inflation, presented in 2022-inflation-adjusted dollars

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for California median household income by race. You can refer the same here

The Shannon Index of diversity was calculated from diver surveys on kelp beds in Southern California. Kelp diver visual census data was combined for two separate southern California datasets. The Partnership for Interdisciplinary Studies of Coastal Oceans (PISCO) provided information collected at 15 sites, and Vantuna Research Group (VRG) at 29 sites. Visual transect surveys were completed by SCUBA divers along the bottom of the kelp forest. The VRG dataset provided fish counts along 2m x 60m transects which were subsequently averaged for comparison with the PISCO dataset. The PISCO dataset provided mean counts along a 2m x 30m transect which were doubled before combining with the VRG data. The diversity analysis included 84 species of fish.

This dataset includes Level 1B (L1B) and Level 2 (L2) data products from the MODIS/ASTER Airborne Simulator (MASTER) instrument. The spectral data were collected as part of the Western Diversity Time Series (WDTS, formerly HyspIRI) airborne campaign during nine flights aboard a NASA ER-2 aircraft over selected areas of California and Nevada, U.S., from 2021-02-09 to 2021-04-02. The WDTS campaign will observe California's ecosystems and provide critical information on natural disasters such as volcanoes, wildfires, and drought. MASTER products can identify vegetation type and health and provide a benchmark for the state of the ecosystems against which future changes can be assessed. Data products include L1B georeferenced multispectral imagery of calibrated radiance in 50 bands covering wavelengths of 0.460 to 12.879 micrometers at approximately 50-meter spatial resolution. Derived L2 data products are emissivity in 5 bands in thermal infrared range (8.58 to 12.13 micrometers) and land surface temperature. The L1B file format is HDF-4, and L2 products are provided in ENVI and KMZ formats. In addition, the dataset includes the flight path, spectral band information, instrument configuration, ancillary notes, and summary information for each flight, and browse images derived from each L1B data file.

AbstractThe California Floristic Province (CFP) is an area of high biodiversity and endemism corresponding roughly to the portion of western North America having a Mediterranean-type climate. High levels of diversity and endemism in the CFP are attributed to the unique geo-climatic setting of the region. In recent years, much has been learned about the origins of plant diversity in western North America. This work, however, has been hindered by a focus on political rather than biotic regions, such that much more is known about diversity and endemism in the state of California than the natural biotic region represented by the CFP. Here we present a preliminary list of native land plants (vascular plants and bryophytes) found in the CFP, as well as an analysis of diversity and endemism patterns at the level of both species and minimum rank taxa (MRT; species and infraspecific taxa). A total of 6,927 MRT are native to the CFP, including 6,143 vascular plants and 784 bryophytes. Of these, 2,612 vascular plants are endemic to the CFP (42%) compared to 37 endemic bryophytes (5%). Finally, 2,506 native CFP vascular plant MRT (41% of the CFP flora) and 454 CFP bryophyte MRT (58% of the CFP flora) are found outside California in the Oregon and Baja California parts of the CFP. This high degree of sharing across political boundaries among both vascular plants and bryophytes highlights the cohesiveness of the CFP, and the need to focus more research effort on biotic regions. Usage notesKMZ file defining border of the California Floristic ProvinceThis data file describes the border of the California Floristic Province in western North America. It is openable in Google Earth or other GIS applications.CFP_KMZ.kmzOccurrence data for native land plants of the California Floristic ProvinceThis data file contains information on the occurrence of native land plants (bryophytes and vascular plants) within major sub-regions of the California Floristic Province, including Baja California (Mexico), Oregon, California, and Nevada.CFP_Online.xlsxGIS file for CFP (DBF)This file is part of a set of files describing the border of the California Floristic Province in western North America. When included in a directory with the other "CFP_GIS" files, the GIS layer is openable in most standard GIS programs.CFP_GIS.dbfGIS file for CFP (PRJ)This file is part of a set of files describing the border of the California Floristic Province in western North America. When included in a directory with the other "CFP_GIS" files, the GIS layer is openable in most standard GIS programs.CFP_GIS.prjGIS file for CFP (SBN)This file is part of a set of files describing the border of the California Floristic Province in western North America. When included in a directory with the other "CFP_GIS" files, the GIS layer is openable in most standard GIS programs.CFP_GIS.sbnGIS file for CFP (SHP)This file is part of a set of files describing the border of the California Floristic Province in western North America. When included in a directory with the other "CFP_GIS" files, the GIS layer is openable in most standard GIS programs.CFP_GIS.shpGIS file for CFP (SHX)This file is part of a set of files describing the border of the California Floristic Province in western North America. When included in a directory with the other "CFP_GIS" files, the GIS layer is openable in most standard GIS programs.CFP_GIS.shxGIS file for CFP (SBX)This file is part of a set of files describing the border of the California Floristic Province in western North America. When included in a directory with the other "CFP_GIS" files, the GIS layer is openable in most standard GIS programs.CFP_GIS.sbx

Recent authors have suggested that declines of insect abundance or diversity, documented first for particular insect taxa of high interest (e.g., butterflies, bees), may apply to insect diversity more generally. This has led to an urgent call for analysis of additional longitudinal datasets to examine trends in general insect diversity. Here we present a dataset gathered from 1982-2018 by advanced undergraduate students and graduate students enrolled in a taxonomy course that involved collecting as many insect families as possible over a 5-week period at a high-elevation protected forested site, the Sagehen Creek Field Station, in the Sierra Nevada Mountains, California, USA.

High severity fire may promote or reduce plant understory diversity in forests. However, few empirical studies test long-standing theoretical predictions that productivity may help to explain observed variation in post-fire plant diversity. Support for the influence of productivity on disturbance-diversity relationships is found predominantly in experimental grasslands, while tests over large areas with natural disturbance and productivity gradients are few and have yielded inconsistent results. Here, we measured the response of post-fire understory plant diversity to natural gradients of fire severity and productivity in a large-scale observational study in California's subalpine forests. We found that plant species richness increased with increasing fire severity and that this trend was stronger at high productivity. We used plant traits to investigate whether release from competition might contribute to increasing diversity and found that short-lived and far-dispersing species benefited more from high severity fire than their long-lived and near-dispersing counterparts. For far-dispersing species only, the benefit from high severity fire was stronger in high productivity plots where unburned species richness was lowest. Our results support theoretical connections between fire severity, productivity and plant communities that are key to predicting the consequences of increasing fire severity and frequency on diversity in the coming decades.

This is a point file of mean fish diversity within 5 minute grid cells. The Shannon Index of diversity was calculated from Southern California Coastal Water Research Project (SCCWRP) fish trawl data. Data from 425 fishery independent trawls ranging from 2-215 meters depth were collected in 1994 and 1998 during the months of June-August. Using ArcGIS, 5 x 5 minute grids were created and mean diversity was calculated for each grid cell containing data. Gear included a 7.6-m head-rope semi balloon otter trawl with 1.25 cm codend mesh trawled for 5-10 minutes at each station. Including all fish identified to the species level resulted in 150 fish species. For more information on trawl methods, see Allen et al. (1997), and Allen et al. (2003).

About this dataset

Context

The dataset presents the detailed breakdown of the count of individuals within distinct income brackets, categorizing them by gender (men and women) and employment type - full-time (FT) and part-time (PT), offering valuable insights into the diverse income landscapes within Marysville. The dataset can be utilized to gain insights into gender-based income distribution within the Marysville population, aiding in data analysis and decision-making..

Key observations

• Employment patterns: Within Marysville, among individuals aged 15 years and older with income, there were 4,024 men and 4,166 women in the workforce. Among them, 1,799 men were engaged in full-time, year-round employment, while 1,328 women were in full-time, year-round roles.
• Annual income under $24,999: Of the male population working full-time, 13.29% fell within the income range of under $24,999, while 14.46% of the female population working full-time was represented in the same income bracket.
• Annual income above $100,000: 11.56% of men in full-time roles earned incomes exceeding $100,000, while 6.25% of women in full-time positions earned within this income bracket.
• Refer to the research insights for more key observations on more income brackets ( Annual income under $24,999, Annual income between $25,000 and $49,999, Annual income between $50,000 and $74,999, Annual income between $75,000 and $99,999 and Annual income above $100,000) and employment types (full-time year-round and part-time)

https://i.neilsberg.com/ch/marysville-ca-income-distribution-by-gender-and-employment-type.jpeg" alt="Marysville, CA gender and employment-based income distribution analysis (Ages 15+)">

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Income brackets:

• $1 to $2,499 or loss
• $2,500 to $4,999
• $5,000 to $7,499
• $7,500 to $9,999
• $10,000 to $12,499
• $12,500 to $14,999
• $15,000 to $17,499
• $17,500 to $19,999
• $20,000 to $22,499
• $22,500 to $24,999
• $25,000 to $29,999
• $30,000 to $34,999
• $35,000 to $39,999
• $40,000 to $44,999
• $45,000 to $49,999
• $50,000 to $54,999
• $55,000 to $64,999
• $65,000 to $74,999
• $75,000 to $99,999
• $100,000 or more

Variables / Data Columns

• Income Bracket: This column showcases 20 income brackets ranging from $1 to $100,000+..
• Full-Time Males: The count of males employed full-time year-round and earning within a specified income bracket
• Part-Time Males: The count of males employed part-time and earning within a specified income bracket
• Full-Time Females: The count of females employed full-time year-round and earning within a specified income bracket
• Part-Time Females: The count of females employed part-time and earning within a specified income bracket

Employment type classifications include:

• Full-time, year-round: A full-time, year-round worker is a person who worked full time (35 or more hours per week) and 50 or more weeks during the previous calendar year.
• Part-time: A part-time worker is a person who worked less than 35 hours per week during the previous calendar year.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Marysville median household income by gender. You can refer the same here

Two datasets that were used to review the research on equality, diversity, and inclusion (EDI) in international business research. Data includes: Summaries from articles addressing EDI in each of the nine journals ranked 3 or higher for international business on the 2021 Chartered Association of Business Schools journal list (ABS list, or Academic Journal Guide AJG). Assessment published material that resulted from a search for full text, academic peer-reviewed, English language articles with both terms "diversity" AND "inclus*" using Business Source Complete,for the period 1928-2022.

About this dataset

Context

The dataset presents the detailed breakdown of the count of individuals within distinct income brackets, categorizing them by gender (men and women) and employment type - full-time (FT) and part-time (PT), offering valuable insights into the diverse income landscapes within Napa County. The dataset can be utilized to gain insights into gender-based income distribution within the Napa County population, aiding in data analysis and decision-making..

Key observations

• Employment patterns: Within Napa County, among individuals aged 15 years and older with income, there were 51,813 men and 49,339 women in the workforce. Among them, 27,168 men were engaged in full-time, year-round employment, while 19,974 women were in full-time, year-round roles.
• Annual income under $24,999: Of the male population working full-time, 6.95% fell within the income range of under $24,999, while 7.42% of the female population working full-time was represented in the same income bracket.
• Annual income above $100,000: 35.39% of men in full-time roles earned incomes exceeding $100,000, while 33.50% of women in full-time positions earned within this income bracket.
• Refer to the research insights for more key observations on more income brackets ( Annual income under $24,999, Annual income between $25,000 and $49,999, Annual income between $50,000 and $74,999, Annual income between $75,000 and $99,999 and Annual income above $100,000) and employment types (full-time year-round and part-time)

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Income brackets:

• $1 to $2,499 or loss
• $2,500 to $4,999
• $5,000 to $7,499
• $7,500 to $9,999
• $10,000 to $12,499
• $12,500 to $14,999
• $15,000 to $17,499
• $17,500 to $19,999
• $20,000 to $22,499
• $22,500 to $24,999
• $25,000 to $29,999
• $30,000 to $34,999
• $35,000 to $39,999
• $40,000 to $44,999
• $45,000 to $49,999
• $50,000 to $54,999
• $55,000 to $64,999
• $65,000 to $74,999
• $75,000 to $99,999
• $100,000 or more

Variables / Data Columns

• Income Bracket: This column showcases 20 income brackets ranging from $1 to $100,000+..
• Full-Time Males: The count of males employed full-time year-round and earning within a specified income bracket
• Part-Time Males: The count of males employed part-time and earning within a specified income bracket
• Full-Time Females: The count of females employed full-time year-round and earning within a specified income bracket
• Part-Time Females: The count of females employed part-time and earning within a specified income bracket

Employment type classifications include:

• Full-time, year-round: A full-time, year-round worker is a person who worked full time (35 or more hours per week) and 50 or more weeks during the previous calendar year.
• Part-time: A part-time worker is a person who worked less than 35 hours per week during the previous calendar year.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Napa County median household income by race. You can refer the same here

The DAV bryophyte collection is fully databased and "live", so Symbiota metadata represents all accessioned specimens. Most of our collection is from Northern California, with strong representation from the Western US. We house bryofloras of two University of California Reserve units: Stebbins Cold Canyon and Quail Ridge Reserves and from Henry Coe State Park (donated by John McLaughlin). Notable collectors: T.C. Frye (N. America), F.R. Fosberg (French Polynesia), G.H. Snodgrass (California) Jack Major (northern Alaska, arctic Canada and Antarctica), A.T. Whittemore (California), and S.P. Rae (California). Other notable collections include tardigrade host species, collected by D.S. Horning and colleagues of the Bohart Museum of Entomology in New Zealand, oceanic islands and Antarctica in the 1970's.

About this dataset

Context

The dataset presents the detailed breakdown of the count of individuals within distinct income brackets, categorizing them by gender (men and women) and employment type - full-time (FT) and part-time (PT), offering valuable insights into the diverse income landscapes within Marin County. The dataset can be utilized to gain insights into gender-based income distribution within the Marin County population, aiding in data analysis and decision-making..

Key observations

• Employment patterns: Within Marin County, among individuals aged 15 years and older with income, there were 95,173 men and 98,285 women in the workforce. Among them, 45,887 men were engaged in full-time, year-round employment, while 35,180 women were in full-time, year-round roles.
• Annual income under $24,999: Of the male population working full-time, 4.92% fell within the income range of under $24,999, while 6.34% of the female population working full-time was represented in the same income bracket.
• Annual income above $100,000: 59.86% of men in full-time roles earned incomes exceeding $100,000, while 47.73% of women in full-time positions earned within this income bracket.
• Refer to the research insights for more key observations on more income brackets ( Annual income under $24,999, Annual income between $25,000 and $49,999, Annual income between $50,000 and $74,999, Annual income between $75,000 and $99,999 and Annual income above $100,000) and employment types (full-time year-round and part-time)

https://i.neilsberg.com/ch/marin-county-ca-income-distribution-by-gender-and-employment-type.jpeg" alt="Marin County, CA gender and employment-based income distribution analysis (Ages 15+)">

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2022 1-Year Estimates.

Income brackets:

• $1 to $2,499 or loss
• $2,500 to $4,999
• $5,000 to $7,499
• $7,500 to $9,999
• $10,000 to $12,499
• $12,500 to $14,999
• $15,000 to $17,499
• $17,500 to $19,999
• $20,000 to $22,499
• $22,500 to $24,999
• $25,000 to $29,999
• $30,000 to $34,999
• $35,000 to $39,999
• $40,000 to $44,999
• $45,000 to $49,999
• $50,000 to $54,999
• $55,000 to $64,999
• $65,000 to $74,999
• $75,000 to $99,999
• $100,000 or more

Variables / Data Columns

• Income Bracket: This column showcases 20 income brackets ranging from $1 to $100,000+..
• Full-Time Males: The count of males employed full-time year-round and earning within a specified income bracket
• Part-Time Males: The count of males employed part-time and earning within a specified income bracket
• Full-Time Females: The count of females employed full-time year-round and earning within a specified income bracket
• Part-Time Females: The count of females employed part-time and earning within a specified income bracket

Employment type classifications include:

• Full-time, year-round: A full-time, year-round worker is a person who worked full time (35 or more hours per week) and 50 or more weeks during the previous calendar year.
• Part-time: A part-time worker is a person who worked less than 35 hours per week during the previous calendar year.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Marin County median household income by gender. You can refer the same here

These datasets provide information on plant alpha, beta, and gamma diversity, and plant species abundance at several spatial scales for tidal wetlands along a salinity gradient in the San Francisco Bay-Delta and an impounded brackish wetland complex in Suisun Marsh, California. Files include diversity metrics calculated at the patch, site, and region scales, average percent cover of wetland dominant plants at the patch scale, and average percent cover of all wetland plants at the site scale.

More than 39 million people and 14.2 million households span more than 163,000 square miles of Californian’s urban, suburban and rural communities. California has the fifth largest economy in the world and is the most populous state in the nation, with nation-leading diversity in race, ethnicity, language and socioeconomic conditions. These characteristics make California amazingly unique amongst all 50 states, but also present significant challenges to counting every person and every household, no matter the census year. A complete and accurate count of a state’s population in a decennial census is essential. The results of the 2020 Census will inform decisions about allocating hundreds of billions of dollars in federal funding to communities across the country for hospitals, fire departments, school lunch programs and other critical programs and services. The data collected by the United States Census Bureau (referred hereafter as U.S. Census Bureau) also determines the number of seats each state has in the U.S. House of Representatives and will be used to redraw State Assembly and Senate boundaries. California launched a comprehensive Complete Count Census 2020 Campaign (referred to hereafter as the Campaign) to support an accurate and complete count of Californians in the 2020 Census. Due to the state’s unique diversity and with insights from past censuses, the Campaign placed special emphasis on the hardest-tocount Californians and those least likely to participate in the census. The California Complete Count – Census 2020 Office (referred to hereafter as the Census Office) coordinated the State’s operations to complement work done nationally by the U.S. Census Bureau to reach those households most likely to be missed because of barriers, operational or motivational, preventing people from filling out the census. The Campaign, which began in 2017, included key phases, titled Educate, Motivate and Activate. Each of these phases were designed to make sure all Californians knew about the census, how to respond, their information was safe and their participation would help their communities for the next 10 years.