VITAL SIGNS INDICATOR Migration (EQ4)

FULL MEASURE NAME Migration flows

LAST UPDATED December 2018

DESCRIPTION Migration refers to the movement of people from one location to another, typically crossing a county or regional boundary. Migration captures both voluntary relocation – for example, moving to another region for a better job or lower home prices – and involuntary relocation as a result of displacement. The dataset includes metropolitan area, regional, and county tables.

DATA SOURCE American Community Survey County-to-County Migration Flows 2012-2015 5-year rolling average http://www.census.gov/topics/population/migration/data/tables.All.html

CONTACT INFORMATION vitalsigns.info@bayareametro.gov

METHODOLOGY NOTES (across all datasets for this indicator) Data for migration comes from the American Community Survey; county-to-county flow datasets experience a longer lag time than other standard datasets available in FactFinder. 5-year rolling average data was used for migration for all geographies, as the Census Bureau does not release 1-year annual data. Data is not available at any geography below the county level; note that flows that are relatively small on the county level are often within the margin of error. The metropolitan area comparison was performed for the nine-county San Francisco Bay Area, in addition to the primary MSAs for the nine other major metropolitan areas, by aggregating county data based on current metropolitan area boundaries. Data prior to 2011 is not available on Vital Signs due to inconsistent Census formats and a lack of net migration statistics for prior years. Only counties with a non-negligible flow are shown in the data; all other pairs can be assumed to have zero migration.

Given that the vast majority of migration out of the region was to other counties in California, California counties were bundled into the following regions for simplicity: Bay Area: Alameda, Contra Costa, Marin, Napa, San Francisco, San Mateo, Santa Clara, Solano, Sonoma Central Coast: Monterey, San Benito, San Luis Obispo, Santa Barbara, Santa Cruz Central Valley: Fresno, Kern, Kings, Madera, Merced, Tulare Los Angeles + Inland Empire: Imperial, Los Angeles, Orange, Riverside, San Bernardino, Ventura Sacramento: El Dorado, Placer, Sacramento, Sutter, Yolo, Yuba San Diego: San Diego San Joaquin Valley: San Joaquin, Stanislaus Rural: all other counties (23)

One key limitation of the American Community Survey migration data is that it is not able to track emigration (movement of current U.S. residents to other countries). This is despite the fact that it is able to quantify immigration (movement of foreign residents to the U.S.), generally by continent of origin. Thus the Vital Signs analysis focuses primarily on net domestic migration, while still specifically citing in-migration flows from countries abroad based on data availability.

This dataset gives a comprehensive view of demographic details from the 2010 Census, zooming in on smaller regions called census tracts, specifically within the City of Carlsbad. It includes important factors like population distribution, racial makeup, family structures, household types, and housing details. Tailored for visualizing and analyzing local demographics, it's especially helpful for understanding trends within specific regions. The dataset aims to support informed decision-making by providing a detailed look at the social and housing landscape at a more localized level within the City of Carlsbad.It's important to note that the original dataset was sourced from the San Diego Geographic Information Source (SANGIS). Initially covering census tracts for the entire San Diego County, we refined the dataset by clipping it to the specific boundary line of the City of Carlsbad. This process was undertaken to tailor the dataset to the unique demographic profile of Carlsbad, making it more pertinent for local analyses and mapping.For additional details and metadata regarding the broader San Diego Countywide layer, it is recommended to visit the SanGIS website. Accessing the metadata on the SANGIS website will provide users with a deeper understanding of the dataset's origins, characteristics, and any additional information relevant to the broader county context.Point of Contact:Point of Contact Operations Manager, Operations Manager U.S. Department of Commerce, U.S. Census Bureau, Geography Division, Geographic Products Branch 4600 Silver Hill Road, Stop 7400 Washington, DC. 20233-7400 geo.tiger@census.gov 301-763-1128

VITAL SIGNS INDICATOR Migration (EQ4)

FULL MEASURE NAME Migration flows

LAST UPDATED December 2018

DESCRIPTION Migration refers to the movement of people from one location to another, typically crossing a county or regional boundary. Migration captures both voluntary relocation – for example, moving to another region for a better job or lower home prices – and involuntary relocation as a result of displacement. The dataset includes metropolitan area, regional, and county tables.

DATA SOURCE American Community Survey County-to-County Migration Flows 2012-2015 5-year rolling average http://www.census.gov/topics/population/migration/data/tables.All.html

CONTACT INFORMATION vitalsigns.info@bayareametro.gov

METHODOLOGY NOTES (across all datasets for this indicator) Data for migration comes from the American Community Survey; county-to-county flow datasets experience a longer lag time than other standard datasets available in FactFinder. 5-year rolling average data was used for migration for all geographies, as the Census Bureau does not release 1-year annual data. Data is not available at any geography below the county level; note that flows that are relatively small on the county level are often within the margin of error. The metropolitan area comparison was performed for the nine-county San Francisco Bay Area, in addition to the primary MSAs for the nine other major metropolitan areas, by aggregating county data based on current metropolitan area boundaries. Data prior to 2011 is not available on Vital Signs due to inconsistent Census formats and a lack of net migration statistics for prior years. Only counties with a non-negligible flow are shown in the data; all other pairs can be assumed to have zero migration.

Given that the vast majority of migration out of the region was to other counties in California, California counties were bundled into the following regions for simplicity: Bay Area: Alameda, Contra Costa, Marin, Napa, San Francisco, San Mateo, Santa Clara, Solano, Sonoma Central Coast: Monterey, San Benito, San Luis Obispo, Santa Barbara, Santa Cruz Central Valley: Fresno, Kern, Kings, Madera, Merced, Tulare Los Angeles + Inland Empire: Imperial, Los Angeles, Orange, Riverside, San Bernardino, Ventura Sacramento: El Dorado, Placer, Sacramento, Sutter, Yolo, Yuba San Diego: San Diego San Joaquin Valley: San Joaquin, Stanislaus Rural: all other counties (23)

One key limitation of the American Community Survey migration data is that it is not able to track emigration (movement of current U.S. residents to other countries). This is despite the fact that it is able to quantify immigration (movement of foreign residents to the U.S.), generally by continent of origin. Thus the Vital Signs analysis focuses primarily on net domestic migration, while still specifically citing in-migration flows from countries abroad based on data availability.

The Biological Monitoring Plan (BMP; Ogden 1996) for the Multiple Species Conservation Program (MSCP) was developed in 1996 and is a component of the City of San Diego's MSCP. The BMP sets forth monitoring requirements for a variety of species, including rare plants, which are covered by the City's MSCP permit in order to assess regional changes in habitat conditions and wildlife. The City of San Diego began rare plant monitoring on its MSCP lands in 1999. Monitoring has been conducted by City staff or by its subcontractors. In 2001, the City expanded the number of MSCP species and localities it monitored and conducted both quantitative and qualitative monitoring (MBC & CBI 2002). Reconnaissance surveys were conducted in areas that had a high potential for target species in attempt to establish baseline data to be used in conjunction with future monitoring. Since then, the City has worked to develop its own methods based on the general parameters set forth by Ogden Environmental and by the Conservation Biology Institute in a 2001 review of the MSCP monitoring program. The City's monitoring methods are described in the City's annual plant monitoring reports and in MSCP Rare Plant Monitoring: Field Monitoring Methods Manual published in 2005. These documents are available for download from the City of San Diego MSCP website (2007 and 2008 reports should be available by September 2008): http://www.sandiego.gov/planning/mscp/biomonitor.shtml. From 2001-2005, monitoring methods generally included mapping a plant population with a sub-meter GPS and conducting a full census of plant populations along transects. If a population was too large for a complete census, it was estimated by sub-sampling using one square-meter quadrats. If a plant population could not be reached due to factors such as steep terrain, the population is mapped on an aerial photograph and later digitized. Additional data on number of flowering and non-flowering plants or number of juvenile and adult plants as well as presence of associated species were also collected. Basic survey information, primary vegetation types, potential to support the target species, as well as information on disturbances and maintenance issues were also recorded (MBC and CBI 2002). Beginning in 2006, the City switched to conducting Habitat Assessment/ Photomonitoring at its study sites based upon recommendations from an outside review of the MSCP rare plant monitoring program (McEachern et al. 2006). Photo plots were established and are visited each season. Photographs were taken of each direction where the target species occurs.

This table contains data on the percent of population residing within ½ mile of a major transit stop for four California regions and the counties, cities/towns, and census tracts within the regions. The percent was calculated using data from four metropolitan planning organizations (San Diego Association of Governments, Southern California Association of Governments, Metropolitan Transportation Commission, and Sacramento Council of Governments) and the U.S. Census Bureau. The table is part of a series of indicators in the Healthy Communities Data and Indicators Project of the Office of Health Equity. A strong and sustainable transportation system supports safe, reliable, and affordable transportation opportunities for walking, bicycling, and public transit, and helps reduce health inequities by providing more opportunities for access to healthy food, jobs, health care, education, and other essential services. Active and public transportation promote health by enabling individuals to increase their level of physical activity, potentially reducing the risk of heart disease and obesity, improving mental health, and lowering blood pressure. More information about the data table and a data dictionary can be found in the About/Attachments section.

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A home-rule city with a population of more than 225,000 may annex an area for the limited puprpose of applying its planning, zoning, building, health and safety ordinances in the area to prevent incompatible land uses. Ensure sound and safe habitable structures and protect contiguous to the boundaries of the city. Limited purpose annexation does not extend the city's extraterritorial jurisdiction. Residents are allowed to vote during a City election. No City Services are provided. As per City ordinance #2014-01-09-0001, providing for the extension of the San Antonio City Limits by the Limited purpose annexation of approximately 18, 729 Acres of land known as the south San antonio Limited purpose annexation Area 1 , Area 2, Area 3, and Area 4;