In 20212, the San Jose-Sunnyvale-Santa Clara metro area in California had the highest per capita income at 64,169 U.S. dollars. The second highest, San Francisco-Oakland-Berkeley metro area is also located in California.

This table presents income shares, thresholds, tax shares, and total counts of individual Canadian tax filers, with a focus on high income individuals (95% income threshold, 99% threshold, etc.). Income thresholds are geography-specific; for example, the number of Nova Scotians in the top 1% will be calculated as the number of taxfiling Nova Scotians whose total income exceeded the 99% income threshold of Nova Scotian tax filers. Different definitions of income are available in the table namely market, total, and after-tax income, both with and without capital gains.

In 2023, San Jose-Sunnyvale-Santa Clara Metro area in California was ranked first with median household income of 153,202 U.S. dollars. The Washington-Arlington-Alexandria metro area had a median household income of 121,469 U.S. dollars.

The Plan Bay Area 2050 Growth Geographies were adopted by the Metropolitan Transportation Commission and Association of Bay Area Governments Executive Board in September 2020. These conceptual areas, which do not supersede local zoning control, are prioritized for new housing and jobs in the Plan Bay Area 2050 Final Blueprint, with specific density and land use assumptions based upon adopted Final Blueprint Strategies. The applicability of different Growth Geographies varies by local jurisdiction based upon the extent to which a jurisdiction has nominated Priority Development Areas, as shown below:All JurisdictionsPriority Development Areas (PDAs):Source - features are from Priority Development Areas (Plan Bay Area 2050).Processing for growth geographies - features from source data were not modified further. Source data is the same as what is in the growth geographies data.Priority Production Areas (PPAs):Source - features are from Priority Production Areas (Plan Bay Area 2050).Processing for growth geographies - features from source data were not modified further. Source data is the same as what is in the growth geographies data.Transit Rich Areas (partial):Source - features are portions of Transit Rich Areas that are within ½ mile of a regional rail station with headways of 15 minutes or better during the AM (6 AM to 10 AM) and PM (3 PM to 7 PM) peak periods, based on posted schedules in January 2020 or service enhancements in Plan Bay Area 2050, including Bay Area Rapid Transit (BART) and Caltrain Baby Bullet station areas. (Note: regional passenger rail systems include Altamont Commuter Express, BART, Caltrain, Sonoma-Marin Area Rail Transit, and Capitol Corridor, but only BART and Caltrain include stops meeting the headway standard.)Processing for growth geographies - these input features were temporary data used to determine the designation, and were clipped to the “exclusion areas” shown below as well as PDAs and PPAs, so were not modified beyond their production.Jurisdictions That Have Nominated Less Than 50 Percent of Their PDA Eligible Areas as PDAsTransit Rich Areas (partial):Source - features are portions of Transit Rich Areas that are not within a PDA, PPA, or within ½ mile of a regional rail station with 15 minute peak headways or less, as identified above. These Transit Rich Areas features include both High Resource Areas and places outside High Resource Areas. The features for this portion of Transit Rich Areas were created by placing a half-mile buffer around passenger rail stations, ferry terminals, and bus stops on routes with peak headways of 15 minutes or less during peak commute period that were selected from Major Transit Stops (2017) data, and by placing a half-mile buffer around passenger rail stations, ferry terminals, and bus rapid transit routes included in Plan Bay Area 2050.Processing for growth geographies - These input features were temporary data used to determine the designation, and were clipped to the “exclusion areas” shown below as well as PDAs and PPAs, so were not modified beyond their production.High Resource Areas:Source - features were created by selecting the intersection of High and Highest Resource Areas from CTCAC/HCD Resource Opportunity Areas (2020) data and a ¼ mile buffer around bus stops with peak headways of 16 to 30 minutes, based upon a January 2020 extract of the Google Transit Feed Specification for all Bay Area transit providers, supplemented by published bus schedules where necessary.Processing for growth geographies - these input features were temporary data used to determine the designation, and are outside the Growth Geographies highlighted above (PDAs, PPAs, and Transit Rich Areas), as well as the “exclusion areas” shown below, so were not modified beyond their production.Exclusion AreasThe following areas are excluded from Growth Geographies. Also, these areas were not used in calculating the share of a jurisdiction’s PDA-eligible land locally nominated.County-adopted wildland urban interface areas, where available,Areas of unmitigated sea level rise (i.e., areas at risk from sea level rise through year 2050 that lack mitigation strategies in Plan Bay Area 2050 Environment Element),Areas outside locally-adopted urban growth boundaries, andParkland and other open spaces within urbanized areas identified in the California Protected Areas Database.A complete description of how the Plan Bay Area 2050 Growth Geographies were developed can be found on the Plan Bay Area 2050 Growth Framework Mapping and Analysis page on GitHub.

Dataset of feature classes for Conservation Lands of the California Desert within NLCS. In 1976, Congress designated a 25-million acre expanse of resource-rich desert lands in southern California as the California Desert Conservation Area (CDCA) through the Federal Land Policy and Management Act. In 2009, Congress, passed the Omnibus Public Land Management Act, which directed the BLM to include lands managed for conservation purposes within the CDCA as part of the National Conservation Lands. To protect this area's natural resources and facilitate development of its energy resources, the Desert Renewable Energy Conservation Plan was undertaken in 2013. This collaborative, multi-stakeholder, landscape-scale planning effort comprises 22.5 million acres in the desert regions of seven California counties, 10.8 million acres of which are BLM lands. Phase I of the DRECP was completed in September 2016. It designated 4.2 million acres as part of the National Conservation Lands of the California Desert. Much of this land was already a part of the National Conservation Lands (in particular, large portions of the Mojave Trails and Sand to Snow National Monuments), but 2.89 million acres were a new addition to the system. National Conservation Lands of the California Desert are closed to all energy development.

Not all households in San Mateo County enjoy the opportunities that its high-performing economy has to offer. DOH's goal is to increase the rate at which the County’s low-income residents are able to access the opportunities the county has to offer by encouraging affordable housing development in High and Highest Resource areas. High and Highest Resource areas are mapped here: CTCAC/HCD Opportunity Area Map: https://www.treasurer.ca.gov/ctcac/opportunity.asp. This map identifies areas in every region of the state whose characteristics have been shown by research to be associated with positive economic, educational, and health outcomes for low-income families—particularly long-term outcomes for children. DOH will use its development pipeline dashboard to map the location of DOH-investments in affordable housing projects within these higher resource areas. The AHF Notice of Funding Opportunity will continue to prioritize developments located in higher resource areas. The definition for high and highest opportunity areas may change in the future but will be informed by State guidance and methodology. This performance measure shows the percentage of affordable housing development projects completed in the high and highest resource areas in a fiscal year. Project completion was selected as a benchmark as this is the time when low-income families gain access to affordable housing. DOH disaggregates the data showing the percentage of units, from the completed projects in a fiscal year, by income level and a special population served known as County Clients.

The California Floristic Province (CA-FP) is the most species-rich region of North American north of Mexico. Several hypotheses have been proposed to explain why this region is exceptionally diverse, including that it harbors many recently diverged clades with weak or no barriers to reproduction. Salvia subgenus Audibertia is a conspicuous element of the CA-FP, with multiple species often occurring in sympatry. Using 305 nuclear loci and both organellar genomes, we reconstruct species trees, examine genomic discordance, conduct divergence-time estimation, and analyze contemporaneous patterns of geneflow and mechanical reproductive isolation. Despite strong genomic discordance, an underlying bifurcating tree is supported. Organellar genomes capture additional introgression events not detected in the nuclear genome. Most interfertility is found within clades and species are generally not mechanically isolated. Rapid, recent speciation with some horizontal geneflow during the rise of Mediterranean climate is the underlying cause of extant diversity in subgenus Audibertia. Geneflow has largely not facilitated speciation. Its signal in the nuclear genome seems to mostly be erased by backcrossing, but organellar genomes each capture different events of historical geneflow, perhaps characteristic of many lineages in the CA-FP. Mechanical reproductive isolation is likely only part of a mosaic of factors limiting geneflow.

The Home Owners’ Loan Corporation (HOLC) was a U.S. government-sponsored program initiated in the 1930s to evaluate mortgage lending risk. The program resulted in hand-drawn ‘security risk’ maps intended to grade sections of cities where investment should be focused (greenlined areas) or limited (redlined zones). The security maps have since been widely criticized as being inherently racist and have been associated with high levels of segregation and lower levels of green amenities in cities across the country. Our goal was to explore the potential legacy effects of the HOLC grading practice on birds, their habitat, and the people who may experience them throughout a metropolis where the security risk maps were widely applied, Greater Los Angeles, California (L.A.). We used ground-collected, remotely sensed, and census data and descriptive and predictive modeling approaches to address our goal. Patterns of bird habitat and avian communities strongly aligned with the luxury-effect phenomenon, where green amenities were more robust, and bird communities were more diverse and abundant in the wealthiest parts of L.A. Our analysis also revealed potential legacy effects from the HOLC grading practice. Associations between bird habitat features and avian communities in redlined and greenlined zones were generally stronger than in areas of L.A. that did not experience the HOLC grading, in part because redlined zones, which included some of the poorest locations of L.A., had the highest levels of dense urban conditions, e.g., impervious surface cover. In contrast, greenlined zones, which included some of the city's wealthiest areas, had the highest levels of green amenities, e.g., tree canopy cover. The White population of L.A., which constitutes the highest percentage of a racial or ethnic group in greenlined areas, was aligned with a considerably greater abundance of birds affiliated with natural habitat features (e.g., trees and shrubs). Conversely, the Hispanic or Latino population, which is dominant in redlined zones, was positively related to a significantly greater abundance of synanthropic birds, which are species associated with dense urban conditions. Our results suggest that historical redlining and contemporary patterns of income inequality are associated with distinct avifaunal communities and their habitat, which potentially influence the human experience of these components of biodiversity throughout L.A. Redlined zones and low-income residential areas that were not graded by the HOLC can particularly benefit from deliberate urban greening and habitat enhancement projects, which would likely carry over to benefit birds and humans. Methods We used point count data to collect bird data, remote sensing, and field approaches for the predictor data. We also used Census data from existing products. Please reference our paper for the full methodology.

This table contains data described by the following dimensions (Not all combinations are available): Geography (13 items: Canada; Atlantic Region; Newfoundland and Labrador; Prince Edward Island; ...);  Statistics (3 items: Value; Distribution of value; Value per household);  Characteristics (1 item: All households);  Wealth (11 items: Total assets; Financial assets; Life insurance and pensions; Other financial assets; ...).

Survey of Household Spending (SHS), average household spending, Canada, regions and provinces.

Out of all 50 states, New York had the highest per-capita real gross domestic product (GDP) in 2024, at 92,341 U.S. dollars, followed closely by Massachusetts. Mississippi had the lowest per-capita real GDP, at 41,603 U.S. dollars. While not a state, the District of Columbia had a per capita GDP of more than 210,780 U.S. dollars. What is real GDP? A country’s real GDP is a measure that shows the value of the goods and services produced by an economy and is adjusted for inflation. The real GDP of a country helps economists to see the health of a country’s economy and its standard of living. Downturns in GDP growth can indicate financial difficulties, such as the financial crisis of 2008 and 2009, when the U.S. GDP decreased by 2.5 percent. The COVID-19 pandemic had a significant impact on U.S. GDP, shrinking the economy 2.8 percent. The U.S. economy rebounded in 2021, however, growing by nearly six percent. Why real GDP per capita matters Real GDP per capita takes the GDP of a country, state, or metropolitan area and divides it by the number of people in that area. Some argue that per-capita GDP is more important than the GDP of a country, as it is a good indicator of whether or not the country’s population is getting wealthier, thus increasing the standard of living in that area. The best measure of standard of living when comparing across countries is thought to be GDP per capita at purchasing power parity (PPP) which uses the prices of specific goods to compare the absolute purchasing power of a countries currency.

As of March 2024, California was the U.S. state with most billionaires, with *** billionaires calling the state home. New York was second, with *** resident billionaires.

The Northeast Pacific (NEP) new regional climatology is derived from the NCEI World Ocean Database archive of temperature and salinity and covers a time period from 1955 to 2012, or roughly six decades.

The NEP is an important region in the North Pacific Ocean. The NEP is home to the California Current System (CCS) and contains a large coastal upwelling zone along the west coast of North America. The CCS is one of the most productive ecosystems in the World Ocean, and its multidecadal variability is also important for long-term Earth and ocean climate change studies. Due to the economic significance and climatic importance of the CCS, intensive observational and research programs took place over many decades and yielded rich oceanographic data arrays of the CCS and adjacent NEP regions.

To provide an improved oceanographic foundation and reference for multi-disciplinary studies of the CCS and NEP, the NCEI Regional Climatology Team developed a new set of high-resolution, quality-controlled, and long-term annual, seasonal and monthly mean temperature and salinity fields at standard depth levels.

Distribution of employment income of individuals by sex and work activity, Canada, provinces and selected census metropolitan areas, annual.

An exposure of a creeping segment of the Bartlett Springs Fault (BSF), part of the San Andreas system in northern California, is a ~1.5 m-wide zone of serpentinite-bearing fault gouge cutting through late Pleistocene fluvial deposits. The fault gouge consists of porphyroclasts of antigorite serpentinite, talc, chlorite, and tremolite-actinolite, along with some Franciscan metamorphic rocks, in a matrix of the same materials. The Mg-mineral assemblage is stable at temperatures above 250°-300°C. The BSF gouge is interpreted to have been tectonically incorporated into the fault from depths near the base of the seismogenic zone, and to have risen buoyantly to the surface where it is now undergoing right-lateral displacement. The ultramafic-rich composition, frictional properties, and inferred mode of emplacement of the BSF serpentinitic gouge correspond to those of the creeping traces of the San Andreas Fault identified in the SAFOD (San Andreas Fault Observatory at Depth) drillhole. This suggests a common origin for creep at both locations. A tectonic model for the source of the ultramafic-rich materials in the BSF is proposed that potentially could explain the distribution of creep throughout the northernmost San Andreas system.

In 2022, San Francisco had the highest median household income of cities ranking within the top 25 in terms of population, with a median household income in of 136,692 U.S. dollars. In that year, San Jose in California was ranked second, and Seattle, Washington third.

Following a fall after the great recession, median household income in the United States has been increasing in recent years. As of 2022, median household income by state was highest in Maryland, Washington, D.C., Utah, and Massachusetts. It was lowest in Mississippi, West Virginia, and Arkansas. Families with an annual income of 25,000 and 49,999 U.S. dollars made up the largest income bracket in America, with about 25.26 million households.

Data on median household income can be compared to statistics on personal income in the U.S. released by the Bureau of Economic Analysis. Personal income rose to around 21.8 trillion U.S. dollars in 2022, the highest value recorded. Personal income is a measure of the total income received by persons from all sources, while median household income is “the amount with divides the income distribution into two equal groups,” according to the U.S. Census Bureau. Half of the population in question lives above median income and half lives below. Though total personal income has increased in recent years, this wealth is not distributed throughout the population. In practical terms, income of most households has decreased. One additional statistic illustrates this disparity: for the lowest quintile of workers, mean household income has remained more or less steady for the past decade at about 13 to 16 thousand constant U.S. dollars annually. Meanwhile, income for the top five percent of workers has actually risen from about 285,000 U.S. dollars in 1990 to about 499,900 U.S. dollars in 2020.

California Figs Market Outlook

The global market size for California figs is projected to witness robust growth from 2023 to 2032, expanding from approximately $760 million in 2023 to an estimated $1.21 billion by 2032, at a Compound Annual Growth Rate (CAGR) of 5.5%. This growth is driven by the increasing consumer awareness of the health benefits associated with figs, the diverse application in food and beverages, and the rising demand for natural ingredients in personal care products. Furthermore, the versatility of figs in culinary applications and their adaptability to different climatic conditions contribute to their increased cultivation and market expansion globally.

One primary growth factor for the California figs market is the rising consumer inclination towards healthy and natural food options. Figs are renowned for their high fiber content, antioxidants, and essential nutrients, making them a preferred choice among health-conscious consumers. The ongoing trend of incorporating superfoods into daily diets has further fueled the demand for figs, especially among the fitness and wellness community. Additionally, the increase in disposable income and the willingness to spend on premium and organic food products have significantly contributed to the market's advancement. This trend is particularly noticeable in developed regions where consumers are more health-conscious and inclined towards sustainable and organic food sources.

Another significant driver of market growth is the expanding applications of figs in various industries. In the food and beverage sector, figs are not only used as fresh or dried fruits but also as sweeteners, flavor enhancers, and nutritious ingredients in various products such as energy bars, smoothies, and bakery items. The nutraceutical industry also capitalizes on the health benefits of figs, incorporating them into dietary supplements and functional foods. Moreover, the personal care industry has embraced figs for their skin-enhancing properties, using fig extracts in cosmetics and skincare products. This diversification in application areas assures sustained demand and market growth for California figs.

Technological advancements in farming and fig processing have also played a crucial role in market expansion. Modern techniques in cultivation, such as the use of organic farming practices and improved irrigation systems, have led to higher yields and better-quality figs. Meanwhile, advancements in processing and packaging technology have extended the shelf life of figs, making them more accessible to a broader market base. These innovations, coupled with an efficient supply chain, ensure that figs reach consumers in optimal condition, further boosting their market presence.

Regionally, North America holds a significant share of the California figs market, with the United States being a major producer and consumer. The favorable climate conditions in California, coupled with advanced agricultural practices, contribute to the high production levels in this region. Europe and Asia Pacific are also key markets, with increasing consumer awareness and demand for healthy food options driving growth. In Europe, countries such as Germany, France, and the UK showcase notable demand due to the popularity of Mediterranean diets. Meanwhile, in the Asia Pacific region, the growing middle class and urbanization have led to a surge in demand for premium and imported fruits, including figs.

Product Type Analysis

The product type segment of the California figs market includes fresh figs, dried figs, fig paste, and fig concentrate. Fresh figs continue to be a popular choice among consumers due to their natural sweetness, rich flavor, and nutritional benefits. The demand for fresh figs is particularly strong in regions where local production is feasible, allowing consumers to access them easily. However, the perishable nature of fresh figs poses challenges in terms of storage and transportation, necessitating efficient supply chain and logistics solutions to maintain their quality from farm to market.

Dried figs represent a substantial segment of the market, attributed to their extended shelf life and versatility in usage. Dried figs are favored for their concentrated sweetness and are commonly used in baking, snacks, and desserts. They also serve as a convenient, nutritious snack option, rich in fiber and minerals. The production of dried figs has seen technological improvements, allowing for better preservation of flavor and nutritional content, thus appealing to a broader consumer base seeking healthy snack alternatives.

California's commercial and recreational fisheries support vibrant coastal economies and communities. Maintaining healthy fishing communities into the future requires a detailed understanding of their past. The California Department of Fish and Wildlife (CDFW) has been monitoring statewide fisheries landings and participation since 1916 and releases confidential versions of this data through authorized data requests and non-confidential summaries of this data in its quasi-annual landings reports. The non-confidential data published in the landings reports provide a rich history of California's fisheries but are scattered across 1000s of tables in 100 s of documents, limiting their accessibility to researchers, fishers, and other interested stakeholders. We reviewed the 58 landings reports published from 1929 to 2020 and extracted and carefully curated 13 datasets with long time series and wide public interest. These datasets include: (1) annual landings in pounds and value by port and species from 1941 to 2019; (2) annual number of commercial fishing vessels by length class from 1934 to 2020; (3) annual number of licensed commercial fishers by area of residence from 1916 to 2020; and (4) annual number of party boat (CPFV) vessels, anglers, and their total catch by species from 1936 to 2020. Notably, we harmonized port names, species common names, and species scientific names across all years and datasets. We make these curated datasets, collectively called the CALFISH database, publicly available to any interested stakeholder in the supplementary materials of this paper, on an open-access data-repository, and in the wcfish R package. These datasets can be used (1) to understand the historical context of California's fisheries; (2) for original research requiring only summaries of historical landings and participation data; and (3) to anticipate the likely characteristics of confidential data requested from the state. We conclude the paper by identifying key principles for increasing the accessibility and utility of historical fisheries landings and participation data. Methods The California Department of Fish and Wildlife (CDFW) has been monitoring statewide fisheries landings and participation since 1916 and releases confidential versions of this data through authorized data requests and non-confidential summaries of this data in its quasi-annual landings reports. The non-confidential data published in the landings reports provide a rich history of California’s fisheries but are scattered across 1000s of tables in 100s of documents, limiting their accessibility to researchers, fishers, and other interested stakeholders. We reviewed the 58 landing series reports published by CDFW from 1928 to 2020 and extracted and curated 13 datasets of long length (years) and wide public interest. In general, these datasets describe landings and participation in commercial fishing and the CPFV sector of recreational fishing (i.e., recreational fishing from private boats and shore are not described in these reports). We rigorously quality controlled all of the extracted data and enhanced the datasets with additional attributes of interest where possible. Notably, these enhancements included harmonizing common names across years and datasets and linking common names with scientific names.

This data provides the integrated cadastral framework for the specified Canada Land. The cadastral framework consists of active and superseded cadastral parcel, roads, easements, administrative areas, active lines, points and annotations. The cadastral lines form the boundaries of the parcels. COGO attributes are associated to the lines and depict the adjusted framework of the cadastral fabric. The cadastral annotations consist of lot numbers, block numbers, township numbers, etc. The cadastral framework is compiled from Canada Lands Survey Records (CLSR), Registration Plans (RS) and Location Sketches (LS) archived in the Canada Lands Survey Records.

This statistic depicts the median annual family income in Canada in 2021, distinguished by province. In 2021, the median annual family income in Alberta was 106,960 Canadian dollars.