The City Survey asks residents to indicate their usage and satisfaction with city services and infrastructure like libraries, Muni, public safety, and street cleanliness. The City Survey was conducted every year from 1996 to 2004, and biennially from 2005 onward. The City Survey was not conducted in 2019 due to the COVID-19 pandemic, and resumed in 2023. Survey methodology was changed in 2015 from a mail to a phone survey, and expanded to include in-person and online options in 2023. Comparisons to previous years should be interpreted with caution. Results should be weighted using the column "weight" in order to adjust for demographic differences between the City Survey sample and San Francisco's population. Please note that survey results were originally reported as unweighted until 1997. From 1997 onward, all City Survey results were reweighted with the exception of data from 2011. For ease of use, the column "weight" has been coded with a value of one for these years. A code book is also attached to this dataset under About > Attachments. Neighborhood and Zip Code data have been hidden from this data set and are only available upon special request to citysurvey@sfgov.org. For more information regarding San Francisco City Survey 1996-2023 Database, please visit the City Survey website at https://sf.gov/citysurvey or contact the San Francisco Controller's Office at citysurvey@sfgov.org.

These are the first large-scale surveys of Mormons ever conducted, with or without church auspices, based upon probability samples of adult Mormon householders. As of century's end, these are the only such surveys available to the public, although the "https://www.churchofjesuschrist.org/?lang=eng" Target="_blank">LDS Church has in recent years conducted many private surveys of its own for various purposes. Large as they are, the Mauss surveys cannot be considered representative of all Mormons everywhere, of course, even in the 1960s, but they are certainly representative of Salt Lake City Mormons then, as well as of the most highly urbanized San Francisco Mormons (and, by extension, perhaps of Mormons in similar sections of other American cities).

The questionnaire and the survey procedures were modeled in large part after those of the Glock and Stark 1964 survey of Northern California churches (which did not include Mormons). Accordingly, the 23-page questionnaire includes many items intended to measure various dimensions of religiosity; the usual demographic and social class information; the conversion experience (for converts); religious defection and reactivation; civil liberties; and attitudes toward blacks and Jews.

The nature and scope of these Mormon surveys, which used identical questionnaires, were intentionally guided by those of the Glock and Stark instrument and were carried out during the principal investigator's doctoral studies under Glock. The survey procedures in Salt Lake City were fairly straightforward and yielded data as representative for Mormons as the Glock and Stark survey was for Catholics and Protestants. However, the rationale for selecting the two Mormon wards in San Francisco, and none of the others, was that the Bay and the Mission Wards consisted disproportionately of the most "urbanized" church members (as opposed to suburban neighborhoods) -- that is, those closest to the inner-city, the apartment dwellers and the temporary residents. These two Mormon wards also included most of the ethnic minorities among Mormons in San Francisco (primarily Hispanic, Polynesian and Asian-Americans). The idea was to get as stark a contrast as possible to the Salt Lake City Mormons.

The dataset inventory provides a list of data maintained by departments that are candidates for open data publishing or have already been published and is collected in accordance with Chapter 22D of the Administrative Code. The inventory will be used in conjunction with department publishing plans to track progress toward meeting plan goals for each department. These plans will be made available early in the summer 2015.

Aeromagnetic data were collected along flight lines by instruments in an aircraft that recorded magnetic-field values and locations. This dataset presents latitude, longitude, altitude, and magnetic-field values.

Graph and download economic data for Employed Persons in San Francisco County/City, CA (LAUCN060750000000005) from Jan 1990 to Aug 2025 about San Francisco County/City, CA; persons; household survey; employment; and USA.

Graph and download economic data for Unemployed Persons in San Francisco County/City, CA (LAUCN060750000000004) from Jan 1990 to Aug 2025 about San Francisco County/City, CA; persons; household survey; unemployment; and USA.

The National Oceanic and Atmospheric Administration (NOAA) has the statutory mandate to collect hydrographic data in support of nautical chart compilation for safe navigation and to provide background data for engineers, scientific, and other commercial and industrial activities. Hydrographic survey data primarily consist of water depths, but may also include features (e.g. rocks, wrecks), navigation aids, shoreline identification, and bottom type information. NOAA is responsible for archiving and distributing the source data as described in this metadata record.

These are the first large-scale surveys of Mormons ever conducted, with or without church auspices, based upon probability samples of adult Mormon householders. As of century's end, these are the only such surveys available to the public, although the "https://www.churchofjesuschrist.org/?lang=eng" Target="_blank">LDS Church has in recent years conducted many private surveys of its own for various purposes. Large as they are, the Mauss surveys cannot be considered representative of all Mormons everywhere, of course, even in the 1960s, but they are certainly representative of Salt Lake City Mormons then, as well as of the most highly urbanized San Francisco Mormons (and, by extension, perhaps of Mormons in similar sections of other American cities).

The questionnaire and the survey procedures were modeled in large part after those of the Glock and Stark 1964 survey of Northern California churches (which did not include Mormons). Accordingly, the 23-page questionnaire includes many items intended to measure various dimensions of religiosity; the usual demographic and social class information; the conversion experience (for converts); religious defection and reactivation; civil liberties; and attitudes toward blacks and Jews.

The nature and scope of these Mormon surveys, which used identical questionnaires, were intentionally guided by those of the Glock and Stark instrument and were carried out during the principal investigator's doctoral studies under Glock. The survey procedures in Salt Lake City were fairly straightforward and yielded data as representative for Mormons as the Glock and Stark survey was for Catholics and Protestants. However, the rationale for selecting the two Mormon wards in San Francisco, and none of the others, was that the Bay and the Mission Wards consisted disproportionately of the most "urbanized" church members (as opposed to suburban neighborhoods) -- that is, those closest to the inner-city, the apartment dwellers and the temporary residents. These two Mormon wards also included most of the ethnic minorities among Mormons in San Francisco (primarily Hispanic, Polynesian and Asian-Americans). The idea was to get as stark a contrast as possible to the Salt Lake City Mormons.

Fifty-one tidal marsh sites across five regions (sub-embayments) were surveyed in the Delta, Suisun Bay, San Pablo Bay, central San Francisco Bay, and South San Francisco Bay. Vegetation surveys spanned ten years, from July 2008 to January 2018. A total of 5,112 plots were surveyed. Plots were positioned on transects along an elevation gradient and evenly distributed across each site, where possible, to capture spatial variability along elevation and distance gradients. At each plot, percent cover of all plant species, bare ground, and litter as well as average height was visually assessed within a 0.25 m2 quadrat. Total plant cover in a plot could exceed 100 percent due to vegetation layering. Bare ground and litter cover was estimated as total area visible through the vegetation from above the plot. Vascular plant nomenclature followed Baldwin et al. (2012). Average plant height (in meters) was recorded at most sites. Geographic position (in UTM) and elevation (North American Ve ...

Aeromagnetic data were collected along flight lines by instruments in an aircraft that recorded magnetic-field values and locations. This dataset presents latitude, longitude, altitude, and magnetic-field values.

The National Oceanic and Atmospheric Administration (NOAA) has the statutory mandate to collect hydrographic data in support of nautical chart compilation for safe navigation and to provide background data for engineers, scientific, and other commercial and industrial activities. Hydrographic survey data primarily consist of water depths, but may also include features (e.g. rocks, wrecks), navigation aids, shoreline identification, and bottom type information. NOAA is responsible for archiving and distributing the source data as described in this metadata record.

This layer is a georeferenced image of a map of an important early map of San Francisco during the early days of the gold rush.

Please refer to the downloadable XLSX attachment for the complete dataset, metadata, and instructions for use. On behalf of San Francisco Municipal Transportation Agency (SFMTA), Corey, Canapary & Galanis (CC&G) conducted the 2021 Mode Share Survey within the City and County of San Francisco as well as the eight surrounding Bay Area counties (Alameda, Contra Costa, San Mateo, Marin, Santa Clara, Napa, Sonoma and Solano). This study has been conducted periodically by CC&G since 2013. Primary goals of this study include: • Estimate mode share for trips into, within, and out of San Francisco, focusing on the percentage of trips made by walking, biking, and public transit compared to other modes (e.g. driving, TNC, etc.). This survey is the primary instrument for tracking the SFMTA Strategic Plan metric “transportation mode share” and provides information used by the agency across divisions. • Evaluation of the above statement based on the number of trips to, from, and within San Francisco by Bay Area residents. Note that trips by visitors from outside the Bay Area, and for commercial purposes whether originating in the Bay Area or not, are not included. • Provide additional trip details, including trip purpose for each trip in the mode share question series. • Collect demographic data on the population of Bay Area residents who travel to, from, and within San Francisco. The survey was conducted as a telephone study among 756 Bay Area residents aged 18 and older. Telephone surveying was conducted during May – September 2021. Interviewing was conducted in English, Spanish, and Chinese. Surveying was conducted via random digit dial (RDD) and cell phone sample. To enhance statistical accuracy, data was weighted by age and _location. Not all totals will add to 100% due to rounding. In portions of this report, a dash (-) is used to indicate no respondents answered with the response code listed. The margin of error at the 95% confidence level is +/-3.56% for the total sample (n = 756). For other sample sizes, the margin of error is as follows: • San Francisco residents; n = 470. Margin of error = +/- 4.52% • Bay Area residents (outside San Francisco) n = 286. Margin of error = +/- 5.79%

This workbook provides data and data dictionaries for the SFMTA 2015 Travel Decision SurveySFMTA Travel Decision Survey Data for 2015 On behalf of San Francisco Municipal Transportation Agency (SFMTA), Corey, Canapary & Galanis (CC&G) undertook a Mode Share Survey within the City and County of San Francisco as well as the eight surrounding Bay Area counties of Alameda, Contra Costa, San Mateo, Marin, Santa Clara, Napa, Sonoma and Solano. The primary goals of this study were to: • Assess percent mode share for travel in San Francisco for evaluation of the SFMTA Strategic Objective 2.3: Mode Share target of 50% non-private auto travel by FY2018 with a 95% confidence level and MOE +/- 5% or less. • Evaluate the above statement based on the following parameters: number of trips to, from, and within San Francisco by Bay Area residents. Trips by visitors to the Bay Area and for commercial purposes are not included. • Provide additional trip details, including trip purpose for each trip in the mode share question series. • Collect demographic data on the population of Bay Area residents who travel to, from, and within San Francisco. • Collect data on travel behavior and opinions that support other SFMTA strategy and project evaluation needs. The survey was conducted as a telephone study among 762 Bay Area residents aged 18 and older. Interviewing was conducted in English, Spanish, and Cantonese. Surveying was conducted via random digit dial (RDD) and cell phone sample. All three survey datasets incorporate respondent weighting based on age and home _location; utilize the “weight” field when appropriate in your analysis. The survey period for this survey is as follows: 2015: August – October 2015 The margin of error is related to sample size (n). For the total sample, the margin of error is 3.5% for a confidence level of 95%. When looking at subsets of the data, such as just the SF population, just the female population, or just the population of people who bicycle, the sample size decreases and the margin of error increases. Below is a guide of the margin of error for different samples sizes. Be cautious in making conclusions based off of small sample sizes. At the 95% confidence level is: • n = 762(Total Sample). Margin of error = +/- 3.5% • n = 382. Margin of error = +/- 4.95% • n = 100. Margin of error = +/- 9.80%

This workbook provides data and data dictionaries for the SFMTA 2017 Travel Decision Survey. On behalf of San Francisco Municipal Transportation Agency (SFMTA), Corey, Canapary & Galanis (CC&G) undertook a Mode Share Survey within the City and County of San Francisco as well as the eight surrounding Bay Area counties of Alameda, Contra Costa, San Mateo, Marin, Santa Clara, Napa, Sonoma and Solano. The primary goals of this study were to: • Assess percent mode share for travel in San Francisco for evaluation of the SFMTA Strategic Objective 2.3: Mode Share target of 50% non-private auto travel by FY2018 with a 95% confidence level and MOE +/- 5% or less. • Evaluate the above statement based on the following parameters: number of trips to, from, and within San Francisco by Bay Area residents. Trips by visitors to the Bay Area and for commercial purposes are not included. • Provide additional trip details, including trip purpose for each trip in the mode share question series. • Collect demographic data on the population of Bay Area residents who travel to, from, and within San Francisco. • Collect data on travel behavior and opinions that support other SFMTA strategy and project evaluation needs. The survey was conducted as a telephone study among 804 Bay Area residents aged 18 and older. Interviewing was conducted in English, Spanish, Mandarin, Cantonese, and Tagalog. Surveying was conducted via random digit dial (RDD) and cell phone sample. All survey datasets incorporate respondent weighting based on age and home location; utilize the “weight” field when appropriate in your analysis. The survey period for this survey is as follows: 2017: February - April 2017 The margin of error is related to sample size (n). For the total sample, the margin of error is 3.4% for a confidence level of 95%. When looking at subsets of the data, such as just the SF population, just the female population, or just the population of people who bicycle, the sample size decreases and the margin of error increases. Below is a guide of the margin of error for different samples sizes. Be cautious in making conclusions based off of small sample sizes. At the 95% confidence level is: • n = 804(Total Sample). Margin of error = +/- 3.4% • n = 400. Margin of error = +/- 4.85% • n = 100. Margin of error = +/- 9.80%

Aeromagnetic data were collected along flight lines by instruments in an aircraft that recorded magnetic-field values and locations. In the earlier days of surveying, the only way to represent this data was to generate an analog map with contour lines. This dataset is a representation of the digitized contour lines either by following the lines or by choosing the intersection of the contour and flight-line to create a value of the magnetic field. The values presented are latitude, longitude, and map magnetic-field values.

The National Oceanic and Atmospheric Administration (NOAA) has the statutory mandate to collect hydrographic data in support of nautical chart compilation for safe navigation and to provide background data for engineers, scientific, and other commercial and industrial activities. Hydrographic survey data primarily consist of water depths, but may also include features (e.g. rocks, wrecks), navigation aids, shoreline identification, and bottom type information. NOAA is responsible for archiving and distributing the source data as described in this metadata record.

This dataset is replaced with the San Francisco Population and Demographic Dataset: https://data.sfgov.org/d/4qbq-hvtt. To request new census data please email support@datasf.org

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A. SUMMARY This dataset contains population estimates from the American Community Survey on San Francisco. This data only contains select high-level, citywide summaries: total population, population by age and sex, and population by race/ethnicity.

Data is for 2019 5-year estimates.

B. HOW THE DATASET IS CREATED Data is simply a cleaned and re-shaped version of this public data from the Census: https://data.census.gov/cedsci/table?q=population%20san%20francisco&tid=ACSDP5Y2019.DP05

C. UPDATE PROCESS Data will update annually.

D. HOW TO USE THIS DATASET Filter the data by variable_concept to get the variables of interest - whether that be sex by age, or race, etc. Then, the variable_label will describe the population in each row. Check the reliability of each estimate by looking at the moe, cv, and the cv_quality_flags. Citywide data is typically reliable. Note that some categories do not have reliability measures as they cannot be calculated.

Please refer to the downloadable XLSX attachment (http://bit.ly/SFMTATravelSurvey2019) for the complete dataset, metadata, and instructions for use. This workbook provides data and data dictionaries for the SFMTA 2019 Travel Decision Survey. On behalf of San Francisco Municipal Transportation Agency (SFMTA), Corey, Canapary & Galanis (CC&G) undertook a Mode Share Survey within the City and County of San Francisco as well as the eight surrounding Bay Area counties of Alameda, Contra Costa, San Mateo, Marin, Santa Clara, Napa, Sonoma and Solano. The primary goals of this study were to: • Assess percent mode share for travel in San Francisco for evaluation of the SFMTA Strategic Objective 2.2: Mode Share target of 80% sustainable travel by 2030. • Evaluate the above statement based on the following parameters: number of trips to, from, and within San Francisco by Bay Area residents. Trips by visitors to the Bay Area and for commercial purposes are not included. • Provide additional trip details, including trip purpose for each trip in the mode share question series. • Collect demographic data on the population of Bay Area residents who travel to, from, and within San Francisco. • Collect data on travel behavior and opinions that support other SFMTA strategy and project evaluation needs. The survey was conducted as a telephone study among 801 Bay Area residents aged 18 and older. Interviewing was conducted in English, Spanish, Mandarin, Cantonese, and Tagalog. Surveying was conducted via random digit dial (RDD) and cell phone sample. All survey datasets incorporate respondent weighting based on age and home _location; utilize the “weight” field when appropriate in your analysis. The survey period for this survey is as follows: 2019: May - August 2019 The margin of error is related to sample size (n). For the total sample, the margin of error is 3.3% for a confidence level of 95%. When looking at subsets of the data, such as just the SF population, just the female population, or just the population of people who bicycle, the sample size decreases and the margin of error increases. Below is a guide of the margin of error for different samples sizes. Be cautious in making conclusions based off of small sample sizes. At the 95% confidence level is: • n = 801(Total Sample). Margin of error = +/- 3.3% • n = 400. Margin of error = +/- 4.85% • n = 100. Margin of error = +/- 9.80%