In 2023, the GDP of the San Francisco Bay Area amounted to ****** billion U.S. dollars, an increase from the previous year. The overall quarterly GDP growth in the United States can be found here. The GDP of the San Francisco Bay Area The San Francisco Bay Area, commonly known as the Bay Area, is a metropolitan region that surrounds the San Francisco and San Pablo estuaries in Northern California. The region encompasses metropolitan areas such as San Francisco-Oakland (12th largest in the country), San Jose (31st largest in the country), along with smaller urban and rural areas. Overall, the Bay Area consists of nine counties, *** cities, and ***** square miles. The nine counties are Alameda, Contra Costa, Marin, Napa, San Francisco, San Mateo, Santa Clara, Solano, and Sonoma. There are approximately 4.62 million people living in the metro area as of 2022. Silicon Valley In the ten year period between 2001 and 2011, the Bay Area saw steady GDP growth. Starting in 2012, it began to skyrocket. This is thanks to an economic boom in the tech sector, and high value companies headquartered in Silicon Valley - also part of the Bay Area. Silicon Valley is known as the center of the global technology industry. Companies like Google, Facebook, eBay and Apple are headquartered there. Additionally, California ranked first on a list of U.S. states by GDP, with more than **** trillion U.S. dollars in GDP in 2022.

This graph shows the GDP of the San Francisco Bay Area in 2022, by industry. In 2022, the GDP of the San Francisco metro area amounted to about ****** billion U.S. dollars. About ***** billion U.S. dollars were generated in the manufacturing industries. The overall quarterly GDP growth in the United States can be found here. The San Francisco Bay Area’s GDPThe San Francisco Bay Area, commonly known as the Bay Area, is a metropolitan region that surrounds the San Francisco and San Pablo estuaries in Northern California. The region encompasses metropolitan areas such as San Francisco-Oakland (12th largest in the country), San Jose (31st largest in the country), along with smaller urban and rural areas. Overall, the Bay Area consists of nine counties, *** cities, and ***** square miles. The nine counties are Alameda, Contra Costa, Marin, Napa, San Francisco, San Mateo, Santa Clara, Solano, and Sonoma. The United States Census Bureau considers the Bay Area a Combined Statistical Area (CSA) with approximately *** million people, including the nine counties bordering San Francisco Bay as well as Santa Cruz and San Benito Counties, making it the sixth largest CSA in the United States. In the ten year period between 2001 and 2011, the Bay Area saw its GDP grow considerably. In 2001, GDP was *** billion U.S. dollars. This value rose to *** billion U.S. dollars by 2011. Additionally, California ranked first on a list of U.S. states by GDP, with *** trillion U.S. dollars of GDP in 2012. Silicon Valley, located in the Bay Area, is in great part responsible for the Bay Area’s and California’s high GDPs, as it is known as the center of the global technology industry. Companies like Google, Facebook, eBay and Apple are headquartered there.

In 2021, the gross domestic product (GDP) of the Guangdong - Hong Kong - Macao Greater Bay Area reached around **** trillion U.S. dollars. Although this was not much less than the GDP of the Tokyo Bay and more than the New York Metropolitan Area, per capita GDP in China's Greater Bay Area was considerably lower.

VITAL SIGNS INDICATOR
Economic Output (EC13)

FULL MEASURE NAME
Gross regional product

LAST UPDATED
August 2022

DESCRIPTION
Economic output is measured by the total and per-capita gross regional product (GRP) and refers to the value of goods and services generated by workers and companies in a region.

DATA SOURCE
Bureau of Economic Analysis: Regional Economic Accounts - http://www.bea.gov/regional/
2001-2020

California Department of Finance: E-4 Historical Population Estimates for Cities, Counties, and the State - https://dof.ca.gov/forecasting/demographics/estimates/
1970-2021

US Census Population and Housing Unit Estimates - https://www.census.gov/programs-surveys/popest.html
2001-2020

Bureau of Labor Statistics: Consumer Price Index - https://download.bls.gov/pub/time.series/cu
2012, 2020

CONTACT INFORMATION
vitalsigns.info@bayareametro.gov

METHODOLOGY NOTES (across all datasets for this indicator)
Data is inflation-adjusted by using both nominal and real data developed by Bureau of Economic Analysis (BEA) and appropriately escalating real GRP data in 2012 chained dollars to 2020 dollars using metropolitan statistical area (MSA)-specific Consumer Price Index data from Bureau of Labor Statistics. Economic output per capita is calculated using CA Department of Finance historical population estimates and Census historical population estimates for Metro areas.

Graph and download economic data for Total Gross Domestic Product for San Jose-Sunnyvale-Santa Clara, CA (MSA) (NGMP41940) from 2001 to 2023 about San Jose, CA, industry, GDP, and USA.

The data and codes that used in the research "Spatial Cooperative Simulation of Land Use-Population-Economy in the Guangdong-Hong Kong-Macao Greater Bay Area, China" was attahced as follows.The PLUS model was used as one kind of basic simulation models in this study. The software can be found in the "./plus_model" folder. A README file was included in this folder to show how the software can be utilized to implement our approach.The original data of land use, population, and economy can be found in the './original_data' folder and the corresponding driving factor data can be found in the './driving_factor' forlder. All these files was resampled into 1 km grids. These files were used as input data for simulation.The simulation results were included in the './simulated_data' folder. It included the simulation results of land use, population, and economic productions with our proposed approach. With the codes in the './ca_code' folder and the files in the './code_file' folder, the performance of our proposed approach can be evaluated with baseline approaches.The predicted scenarios of land use, population, and economic productions in the year of 2030 were included in the './predicted_data' folder.

VITAL SIGNS INDICATOR
Unemployment (EC3)

FULL MEASURE NAME
Unemployment rate by residential location

LAST UPDATED
December 2022

DESCRIPTION
Unemployment refers to the share of the labor force – by place of residence – that is not currently employed full-time or part-time. The unemployment rate reflects the strength of the overall employment market.

DATA SOURCE
California Employment Development Department: Historical Unemployment Rates
1990-2010
Spreadsheet provided by CAEDD

California Employment Development Department: Labor Force and Unemployment Rate for California Sub-County Areas - https://data.edd.ca.gov/Labor-Force-and-Unemployment-Rates/Labor-Force-and-Unemployment-Rate-for-California-S/8z4h-2ak6
2010-2022

California Employment Development Department: Local Area Unemployment Statistics (LAUS) - https://data.edd.ca.gov/Labor-Force-and-Unemployment-Rates/Local-Area-Unemployment-Statistics-LAUS-/e6gw-gvii
1990-2022

U.S. Bureau of Labor Statistics: Local Area Unemployment Statistics (LAUS) - https://download.bls.gov/pub/time.series/la
1990-2021

CONTACT INFORMATION
vitalsigns.info@bayareametro.gov

METHODOLOGY NOTES (across all datasets for this indicator)
Unemployment rates produced by the CA Employment Development Department (EDD) for the region and county levels are not adjusted for seasonality (as they reflect annual data) and are final data (i.e., not preliminary). Unemployment rates produced by U.S. Bureau of Labor Statistics (BLS) for the metro regions are annual and not adjusted for seasonality; they reflect the primary metropolitan statistical area (MSA) for the named region, except for the San Francisco Bay Area which uses the nine-county region. The unemployment rate is calculated based on the number of unemployed persons divided by the total labor force. Note that the unemployment rate can decline or increase as a result of changes in either variable.

Graph and download economic data for Total Real Gross Domestic Product for San Francisco-Oakland-Hayward, CA (MSA) (RGMP41860) from 2001 to 2023 about San Francisco, CA, real, industry, GDP, and USA.

In 2023, the total gross domestic product (GDP) of the Guangdong - Hong Kong - Macao Greater Bay Area amounted to almost ************ U.S. dollars. That year, the GDP of the city of Shenzhen alone amounted to around *** billion U.S. dollars, ranking first among cities in the Greater Bay Area. The Greater Bay Area in China The Guangdong - Hong Kong - Macao Greater Bay Area is an economic zone comprised of the two special administrative regions Hong Kong and Macao and nine cities of Guangdong province in mainland China, namely Shenzhen, Guangzhou, Zhuhai, Foshan, Zhongshan, Dongguan, Huizhou, Jiangmen, and Zhaoqing. The concept of the Greater Bay Area has been formulated by the Chinese government to further integrate Macao and Hong Kong into the Chinese mainland and to boost the economy of the cities in the Pearl River Delta. In the ***** and *****, the Pearl River Delta had been one of the prime regions for economic development, but in recent years it has lost ground to the Yangtze River Delta in East China, the largest of the economic macro-regions in China. A development plan for the Greater Bay Area, which was initiated in 2017 and further elaborated thereafter, aims at developing the region into the world's largest and economically most successful Bay Area. GDP development in the Greater Bay Area In 2022, the GDP of the Greater Bay Area cities was still affected by the coronavirus pandemic and decreased slightly in U.S. dollar terms compared to the previous year. However, the development was uneven, with some of the cities on the mainland experiencing strong economic growth, while GDP growth in Hong Kong and Macau still suffered significantly from the pandemic. In 2023, per capita GDP in the Greater Bay Area ranged at about ****** U.S. dollars, which was one of the highest values in China. However, per capita GDP in Hong Kong and Macao is still considerably higher then in the neighboring cities on the mainland.

This feature set contains point features representing transportation investments nested within each relevant Plan Bay Area 2050 strategy. Only projects with a known location specified by the project sponsor are reflected; this data should be used solely for illustrative purposes. Project details, including the exact location of infrastructure, will be determined at a later date through project-level planning and environmental analyses. Plan Bay Area 2050 is the long-range regional plan for housing, transportation, the environment, and the economy in the San Francisco Bay Area. It was adopted by the Metropolitan Transportation Commission (MTC) and the Association of Bay Area Governments (ABAG) in October 2021.For more data representing Plan Bay Area 2050’s transportation investments, see:Plan Bay Area 2050 Transportation Projects (Line)Plan Bay Area 2050 Transportation Projects (Polygon) More information on the transportation project list may be found on the Plan Bay Area 2050 website.

On May 1, the California Department of Finance released population estimates updated through the end of year 2016, which include detailed data on housing production for the San Francisco Bay Region. While a single year is just one data point and may not necessarily be indicative of long-term trends, this data set is still useful to understand how the robust regional economy is affecting housing production trends in recent months.The June 2017 map of the month highlights how 2016 housing production compares to the annualized housing forecast from the Draft Plan Bay Area 2040 by identifying how many years it will take cities, at the current rate, to reach the year 2040 forecast. While some cities are on pace or even ahead of schedule to meet the forecast, numerous jurisdictions are way behind – many by centuries.

This feature set contains line features representing transportation investments nested within each relevant Plan Bay Area 2050 strategy. Only projects with a known location specified by the project sponsor are reflected; this data should be used solely for illustrative purposes. Project details, including the exact location of infrastructure, will be determined at a later date through project-level planning and environmental analyses. Plan Bay Area 2050 is the long-range regional plan for housing, transportation, the environment, and the economy in the San Francisco Bay Area. It was adopted by the Metropolitan Transportation Commission (MTC) and the Association of Bay Area Governments (ABAG) in October 2021.For more data representing Plan Bay Area 2050’s transportation investments, see:Plan Bay Area 2050 Transportation Projects (Point)Plan Bay Area 2050 Transportation Projects (Polygon) More information on the transportation project list may be found on the Plan Bay Area 2050 website.

On May 1, the California Department of Finance (DOF) released population estimates updated through the end of year 2016, which include detailed data on housing production for the San Francisco Bay Area. While a single year is just one data point and may not necessarily be indicative of long-term trends, this dataset is still useful to understand how the robust regional economy is affecting housing production trends in recent months. The June 2017 map of the month highlights how 2016 housing production compares to the annualized housing forecast from the Draft Plan Bay Area 2040 by identifying how many years it will take cities, at the current rate, to reach the year 2040 forecast.While some cities are on pace or even ahead of schedule to meet the forecast, numerous jurisdictions are way behind – many by centuries

On May 1, the California Department of Finance released population estimates updated through the end of year 2016, which include detailed data on housing production for the San Francisco Bay Region. While a single year is just one data point and may not necessarily be indicative of long-term trends, this data set is still useful to understand how the robust regional economy is affecting housing production trends in recent months.The June 2017 map of the month highlights how 2016 housing production compares to the annualized housing forecast from the Draft Plan Bay Area 2040 by identifying how many years it will take cities, at the current rate, to reach the year 2040 forecast. While some cities are on pace or even ahead of schedule to meet the forecast, numerous jurisdictions are way behind – many by centuries.

Centrality of the business credit linkage network in the Hangzhou Bay Greater Bay Area.

In regions where the development of formal finance is relatively lagging behind, commercial credit has partially replaced the role of formal finance and facilitated the development of the private economy and even the country, thus making commercial credit an important entry point for understanding and promoting sustainable economic development. Taking the Hangzhou Bay Greater Bay Area as a case study, based on the City Business Credit Environment Index (CEI) from 2015 to 2019, we examine the characteristics of business credit networks using social network analysis and discuss the impact of business credit on urban green economy efficiency heterogeneity by drawing on spatial econometrics. The study confirms that the structure of business credit networks in the Hangzhou Bay Greater Bay Area tends to be dense, the network density and number of connections show growth, the spatial network structure is taking shape, and the strength of spatial connections among cities has increased. Hangzhou, Shaoxing, Jiaxing and Shanghai are at the centre of the network and play a radiation-driven role. The business credit network in the Hangzhou Bay Greater Bay Area is characterised by self-stability and has evolved from a multi-centre to a single centre. Business credit is negatively correlated with the efficiency of the green economy in the Hangzhou Bay Area, which is a departure from the Chinese "financial development paradox". In terms of heterogeneity, the relationship remains consistent for port cities and open coastal cities in general, while the effect is less pronounced for cities above sub-provincial level. The study concludes that, with the high-quality economic development of the Hangzhou Bay Greater Bay Area, the Chinese "financial development paradox" does not exist in the region at this stage, which also highlights the need to accelerate the construction of a Chinese-style modernisation theory and practice system.

In 2023, the average per capita gross domestic product (GDP) in the Guangdong - Hong Kong - Macao Greater Bay Area ranged at ****** U.S. dollars. Per capita gross domestic product in Macao amounted to around ****** U.S. dollars in that year, ranking first among cities in the Greater Bay Area. The Greater Bay Area in China The political concept of the Guangdong - Hong Kong - Macao Greater Bay Area was introduced to the public in 2017 and further implemented by jointly signed agreements in the following years. It aims at integrating the special administrative regions of Macao and Hong Kong into the Chinese mainland and boosting the economy of all participating cities in the Pearl River Delta. The development plan for the Greater Bay Area is part of a national Chinese initiative to promote several economic city clusters in China. On the Chinese mainland, nine cities are part of the Greater Bay Area region, all of them located in Guangdong province: Shenzhen, Guangzhou, Zhuhai, Foshan, Zhongshan, Dongguan, Huizhou, Jiangmen, and Zhaoqing. In the long run, the joint plan intends to develop the region into the world's largest and economically most successful Bay Area. Per capita GDP in the Greater Bay Area In terms of per capita GDP, the more mature economies of Macao and Hong Kong are still ahead of mainland Chinese cities in the Greater Bay Area, although Shenzhen and Guangzhou belong to the most developed cities in the whole of mainland China. However, growth rates on the mainland are considerably higher than in Hong Kong and Macao. This is especially true for Shenzhen, which is famous for its past economic boom and has developed into a bustling high-tech location, home to the well-known computer and internet giants Huawei and Tencent.

Density of business credit linkage networks in the Hangzhou Bay Greater Bay Area, 2015 to 2019.

This map shows the potential of widespread slope failures, in terms of Newmark displacement (measured in centimeters), triggered by a M7.0 scenario earthquake on the Hayward Fault in the 10-county area surrounding the San Francisco Bay region, California. The cumulative downslope displacement of hillslopes is calculated using a simplified Newmark rigid sliding block slope stability model utilizing four primary datasets: a regional-scale geologic map of the study area, geologic strength parameters compiled as part of the California Geological Survey Seismic Hazard Mapping Program, earthquake shaking data from the USGS ShakeMap developed for this scenario, and 10-meter digital elevation data from the USGS 2009 National Elevation Dataset.The seismic-landslide hazard potential map covers the counties of Alameda, Contra Costa, Marin, Napa, San Francisco, San Mateo, Santa Clara, Santa Cruz, Solano, and Sonoma. The slope failures are triggered by a hypothetical earthquake with a moment magnitude of 7.0 occurring on April 18, 2018, at 4:18 p.m. on the Hayward Fault in the east bay part of California’s San Francisco Bay region.

In 2023, the gross domestic product (GDP) of the San Jose-Sunnyvale-Santa Clara metro area amounted to roughly ****** billion U.S. dollars. This was an increase from the previous year when the real GDP came to ****** billion U.S. dollars. San Jose is the third-largest city in California, the tenth-largest in the U.S., and the county seat of Santa Clara County. It is located at the southern end of San Francisco Bay. The San Jose-Sunnyvale-Santa Clara metro area had a population of around **** in 2021.