Graph and download economic data for Unemployment Rate in San Francisco County/City, CA (LAUCN060750000000003A) from 1990 to 2023 about San Francisco County/City, CA; San Francisco; CA; unemployment; rate; and USA.

The South Market (SoMa) had an office vacancy rate of about 47 percent in the fourth quarter of 2024. This made it the district with the highest vacancy rate of office space in San Francisco. The lowest vacancy rate of about 4.8 percent was recorded in the Presidio district.

Graph and download economic data for Age-Adjusted Premature Death Rate for San Francisco County, CA (CDC20N2UAA006075) from 1999 to 2020 about San Francisco County/City, CA; San Francisco; premature; death; CA; rate; and USA.

The average office vacancy rate in San Francisco has increased dramatically since 2019. From about 8.8 percent in that year, the share of vacant office space reached 19.2 percent in 2023. In the third quarter of 2024, the North Financial District had the most vacant office space space.

San Francisco's office rental market showcases significant variation across its submarkets, with Mission Bay commanding the highest rates at 138 U.S. dollars per square foot in the third quarter of 2024. This premium location demanded nearly double the city's average rate, highlighting the stark differences in desirability and demand within the city's commercial real estate landscape. Economic powerhouse The San Francisco Bay Area's economic prowess is evident in its impressive economic growth over the past 20 years. The city's strength is fueled by the presence of major technology companies and a thriving startup ecosystem. The region's economic significance extends beyond local boundaries, contributing substantially to California's position as the state with the highest GDP in the country. This economic vitality helps explain the sustained demand for office space across various San Francisco submarkets. Offices: global context and market trends In a global context, San Francisco's office rental rates are relatively high but not the most expensive worldwide. In 2024, London, Hong Kong, and New York emerged as the top three most expensive office rental markets globally. Over the past five years, San Francisco has experienced a decline in office rents. This trend aligns with broader shifts in the office real estate sector, influenced by the COVID-19 pandemic and the rise of hybrid work. Despite these challenges, certain San Francisco submarkets like Mission Bay and The Presidio continue to command premium rates, reflecting their enduring appeal to commercial tenants.

Graph and download economic data for Unemployment Rate in San Francisco-Oakland-Hayward, CA (MSA) (SANF806URN) from Jan 1990 to Jan 2025 about San Francisco, CA, unemployment, rate, and USA.

Tax rate area boundaries and related data based on changes filed with the Board of Equalization per Government Code 54900 for the specified assessment roll year. The data included in this map is maintained by the California State Board of Equalization and may differ slightly from the data published by other agencies. BOE_TRA layer = tax rate area boundaries and the assigned TRA number for the specified assessment roll year; BOE_Changes layer = boundary changes filed with the Board of Equalization for the specified assessment roll year; Data Table (C##_YYYY) = tax rate area numbers and related districts for the specified assessment roll year

About this dataset

Context

The dataset tabulates the South San Francisco population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of South San Francisco across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.

Key observations

In 2023, the population of South San Francisco was 63,123, a 0.08% increase year-by-year from 2022. Previously, in 2022, South San Francisco population was 63,073, a decline of 1.16% compared to a population of 63,816 in 2021. Over the last 20 plus years, between 2000 and 2023, population of South San Francisco increased by 2,480. In this period, the peak population was 67,147 in the year 2016. The numbers suggest that the population has already reached its peak and is showing a trend of decline. Source: U.S. Census Bureau Population Estimates Program (PEP).

Content

When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

Data Coverage:

• From 2000 to 2023

Variables / Data Columns

• Year: This column displays the data year (Measured annually and for years 2000 to 2023)
• Population: The population for the specific year for the South San Francisco is shown in this column.
• Year on Year Change: This column displays the change in South San Francisco population for each year compared to the previous year.
• Change in Percent: This column displays the year on year change as a percentage. Please note that the sum of all percentages may not equal one due to rounding of values.

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 South San Francisco Population by Year. You can refer the same here

45 to 54 years Poverty Rate Statistics for 2023. This is part of a larger dataset covering poverty in San Francisco, California by age, education, race, gender, work experience and more.

About this dataset

Context

The dataset tabulates the Non-Hispanic population of South San Francisco by race. It includes the distribution of the Non-Hispanic population of South San Francisco across various race categories as identified by the Census Bureau. The dataset can be utilized to understand the Non-Hispanic population distribution of South San Francisco across relevant racial categories.

Key observations

Of the Non-Hispanic population in South San Francisco, the largest racial group is Asian alone with a population of 27,324 (61.21% of the total Non-Hispanic population).

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 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: This column displays the racial categories (for Non-Hispanic) for the South San Francisco
• Population: The population of the racial category (for Non-Hispanic) in the South San Francisco is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of South San Francisco total Non-Hispanic population. Please note that the sum of all percentages may not equal one due to rounding of values.

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 South San Francisco Population by Race & Ethnicity. You can refer the same here

The data comprise an archive of repeated surveyed measurements to monitor surface fault creep (a form of gradual tectonic movement) occurring along active faults in the San Francisco Bay region for use by the scientific research community. Additional description of these data and the methods used to collect them is provided at: https://pubs.usgs.gov/of/2009/1119/ The primary data are angle measurements surveyed using an electronic theodolite on about ninety alignment arrays that cross the region's major faults, which enables detection of any significant rate changes over time from long-term rates of aseismic fault displacement. These primary measurement data, and resulting long-term average creep rates of each site, are updated annually at most sites.

Tax rate area boundaries and related data based on changes filed with the Board of Equalization per Government Code 54900 for the specified assessment roll year. The data included in this map is maintained by the California State Board of Equalization and may differ slightly from the data published by other agencies. BOE_TRA layer = tax rate area boundaries and the assigned TRA number for the specified assessment roll year; BOE_Changes layer = boundary changes filed with the Board of Equalization for the specified assessment roll year; Data Table (C##_YYYY) = tax rate area numbers and related districts for the specified assessment roll year

In 2023, the GDP of the San Francisco Bay Area amounted to 681.89 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, 101 cities, and 7,000 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 3.59 trillion U.S. dollars in GDP in 2022.

This statistic shows the quarterly average daily rate of hotels in San Francisco in 2016 and 2017. In the first quarter of 2017, the average daily rate of hotels in San Francisco in the United States was 338 U.S. dollars.

Accommodation in San Francisco - additional information

San Francisco is located in northern California on the west coast of the United States and is the second most densely populated city in the country after New York City. The highest average daily hotel rates in San Francisco was seen in the first quarter of 2017 at 338 U.S. dollars. This represented an increase in average daily rate of around 14 U.S. dollars compared to the same quarter in the previous year.

In 2016, 3.93 million people from overseas visited San Francisco, spending 5.9 billion U.S. dollars there. The city is also popular with U.S. travelers who ranked the destination fifth on a list of domestic cities they would most like to visit – perennial favorites are Las Vegas and New York. It is not, however, always cheap to stay in San Francisco. For business travelers, it was the second most expensive destination in the U.S. with an average cost per day of more than 530 U.S. dollars in 2016.

As of May 2013, San Francisco was one of the top U.S. cities associated with food tourism. It is also home to two of the most visited tourist attractions worldwide: Golden Gate Park and Pier 39. According to 95 percent of locals, people are very welcoming to tourists there.

Population 25 years and over Poverty Rate Statistics for 2023. This is part of a larger dataset covering poverty in San Francisco County, California by age, education, race, gender, work experience and more.

Tax rate area boundaries and related data based on changes filed with the Board of Equalization per Government Code 54900 for the specified assessment roll year. The data included in this map is maintained by the California State Board of Equalization and may differ slightly from the data published by other agencies. BOE_TRA layer = tax rate area boundaries and the assigned TRA number for the specified assessment roll year; BOE_Changes layer = boundary changes filed with the Board of Equalization for the specified assessment roll year; Data Table (C##_YYYY) = tax rate area numbers and related districts for the specified assessment roll year

About this dataset

Context

The dataset tabulates the San Francisco Hispanic or Latino population. It includes the distribution of the Hispanic or Latino population, of San Francisco, by their ancestries, as identified by the Census Bureau. The dataset can be utilized to understand the origin of the Hispanic or Latino population of San Francisco.

Key observations

Among the Hispanic population in San Francisco, regardless of the race, the largest group is of Mexican origin, with a population of 65,170 (48.90% of the total Hispanic population).

Content

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

Origin for Hispanic or Latino population include:

• Mexican
• Puerto Rican
• Cuban
• Other Hispanic or Latino

Variables / Data Columns

• Origin: This column displays the origin for Hispanic or Latino population for the San Francisco
• Population: The population of the specific origin for Hispanic or Latino population in the San Francisco is shown in this column.
• % of Total Hispanic Population: This column displays the percentage distribution of each Hispanic origin as a proportion of San Francisco total Hispanic or Latino population. Please note that the sum of all percentages may not equal one due to rounding of values.

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 San Francisco Population by Race & Ethnicity. You can refer the same here

Unemployed Poverty Rate Statistics for 2023. This is part of a larger dataset covering poverty in San Francisco, California by age, education, race, gender, work experience and more.

About this dataset

Context

The dataset tabulates the population of San Francisco County by race. It includes the population of San Francisco County across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of San Francisco County across relevant racial categories.

Key observations

The percent distribution of San Francisco County population by race (across all racial categories recognized by the U.S. Census Bureau): 40.49% are white, 5.09% are Black or African American, 0.66% are American Indian and Alaska Native, 34.97% are Asian, 0.38% are Native Hawaiian and other Pacific Islander, 7.75% are some other race and 10.66% are multiracial.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 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: This column displays the racial categories (excluding ethnicity) for the San Francisco County
• Population: The population of the racial category (excluding ethnicity) in the San Francisco County is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of San Francisco County total population. Please note that the sum of all percentages may not equal one due to rounding of values.

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 San Francisco County Population by Race & Ethnicity. You can refer the same here

About this dataset

Context

The dataset presents a breakdown of households across various income brackets in San Francisco, CA, as reported by the U.S. Census Bureau. The Census Bureau classifies households into different categories, including total households, family households, and non-family households. Our analysis of U.S. Census Bureau American Community Survey data for San Francisco, CA reveals how household income distribution varies among these categories. The dataset highlights the variation in number of households with income, offering valuable insights into the distribution of San Francisco households based on income levels.

Key observations

• For Family Households: In San Francisco, the majority of family households, representing 42.29%, earn $200,000 or more, showcasing a substantial share of the community families falling within this income bracket. Conversely, the minority of family households, comprising 1.39%, have incomes falling $35,000 to $39,999, representing a smaller but still significant segment of the community.
• For Non-Family Households: In San Francisco, the majority of non-family households, accounting for 29.28%, have income $200,000 or more, indicating that a substantial portion of non-family households falls within this income bracket. On the other hand, the minority of non-family households, comprising 1.81%, earn $35,000 to $39,999, representing a smaller, yet notable, portion of non-family households in the community.

Content

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

Income Levels:

• Less than $10,000
• $10,000 to $14,999
• $15,000 to $19,999
• $20,000 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 $59,999
• $60,000 to $74,999
• $75,000 to $99,999
• $125,000 to $149,999
• $150,000 to $199,999
• $200,000 or more

Variables / Data Columns

• Income Level: The income level represents the income brackets ranging from Less than $10,000 to $200,000 or more in San Francisco, CA (As mentioned above).
• All Households: Count of households for the specified income level
• % All Households: Percentage of households at the specified income level relative to the total households in San Francisco, CA
• Family Households: Count of family households for the specified income level
• % Family Households: Percentage of family households at the specified income level relative to the total family households in San Francisco, CA
• Non-Family Households: Count of non-family households for the specified income level
• % Non-Family Households: Percentage of non-family households at the specified income level relative to the total non-family households in San Francisco, CA

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 San Francisco median household income. You can refer the same here