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Miriam Zuk, Ph.d. UC Berkeley Anna cash • paige dow • Justine marcus

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Presentation on theme: "Miriam Zuk, Ph.d. UC Berkeley Anna cash • paige dow • Justine marcus"— Presentation transcript:

1 Investment without Displacement: Increasing the Affordable Housing Supply
Miriam Zuk, Ph.d. UC Berkeley Anna cash • paige dow • Justine marcus The project aims to understand the nature of gentrification and displacement in the Bay Area. It focuses on creating tools to help communities identify the pressures surrounding them and take more effective action.

2 Bay Area on the Rise The Bay Area is experiencing a period of profound economic growth and prosperity. The Gross Regional Product has grown steadily in post-Recession recovery, consistently outpacing the national growth rate. In the past 5 years (2010 – 2015), Bay Area per capita GDP has grown by 26%, while California GDP has grown by only 9%, and national per capita GDP by 5%. 2015 Bay Area per capita GDP is 152% that of California and 172% the national average. Sources: US Bureau of Economic Analysis, MTC Vital Signs, CA Dept. of Finance

3 Recent economic growth is not a neutral story
Declining poverty Growth in high wage jobs Income inequality Low unemployment Recent economic growth is not a neutral story Rising rents Jobs and housing mismatch But, recent economic growth is not a neutral story. The Bay Area is plagued by some enduring problems of inequality and poverty. Suburbanization of poverty

4 Homeownership Out of Reach
Home values in the Bay Area far exceed the U.S. median and even the California median Home values in the Bay Area are also growing at a faster rate than the U.S. and California In some parts of the Bay Area, home values have exceeded pre-recession values Note: * All home values are represented in 2016 dollars * San Jose’s MSA includes: Cupertino Milpitas Mountain View Palo Alto San Jose Santa Clara Sunnyvale * San Francisco’s MSA includes: Berkeley Hayward Oakland Pleasanton Redwood City San Francisco San Leandro San Rafael San Ramon South San Francisco Walnut Creek Bay Area Average is the average of the 9 Bay Area Counties: Alameda, Contra Costa, San Francisco, San Mateo, Napa, Sonoma, Santa Clara, Solano, and Marin Source: Zillow, ZHVI All Homes (SFR, Condo/Co-op) Time Series January 1997– November 2016 Source: Zillow, ZHVI All Homes (SFR, Condo/Co-op) Time Series January 1997– November 2016

5 Rent Over Time: Bay Area vs. California
Rents in the Bay Area have consistently been above those in California The average rent in the Bay Area has grown by 30% in the last two years, though there are many neighborhoods where the rent has increased far more. Note: *San Jose’s MSA includes: Cupertino Milpitas Mountain View Palo Alto San Jose Santa Clara Sunnyvale *San Francisco’s MSA includes: Berkeley Hayward Oakland Pleasanton Redwood City San Francisco San Leandro San Rafael San Ramon South San Francisco Walnut Creek *Bay Area Average is the average of the 9 Bay Area Counties: Alameda, Contra Costa, San Francisco, San Mateo, Napa, Sonoma, Santa Clara, Solano, and Marin Source: Zillow Rental Index Multifamily, SFR, Condo/Co-op Time Series, January 2011-December 2015 Source: Zillow Rental Index Multifamily, SFR, Condo/Co-op Time Series

6 Economic Prosperity is Not for All
Median annual earnings in 2015 inflation-adjusted dollars. While economic growth is happening in the Bay Area, the benefits of that growth are not distributed equally. There is a substantial difference between high and low wage jobs – with educators and healthcare support professionals often earning close to $40,000 a year, compared to computer engineers who earned over $100,000 on average annually. Not only is there a disparity between high and low wage jobs, but the rate of wage growth across different sectors is uneven. For example, between 2006 and 2015: Computer related +25% Doctors +7% Construction +0% Education and libraries -15% Building and ground maintenance -11% Food prep and service +11% As cost of living continues to rise in the Bay Area, low and middle income jobs with relatively stagnant or declining wages are most severely burdened. Source: American Community Survey, 1-year estimates by County Source: American Community Survey, 1-yr estimates,,

7 Wages Have Not Kept Up With Rents
Increases in median rent in the Bay Area have outpaced the increases in income While income experienced a dip during the recession years, rent did not experience the same dip Note: *Bay Area Average is the average of the 9 Bay Area Counties: Alameda, Contra Costa, San Francisco, San Mateo, Napa, Sonoma, Santa Clara, Solano, and Marin Source: American Community Survey 1-year estimates, Tables DP04 and B25119 At CA minimum wage of $10/hr, you would have to work 89 hours a week to afford a 1BR apartment in California. In San Francisco, you would have to work 109 hours/week to afford that 1BR Source: Out of Reach”, National Low Income Housing Coalition,“ 2016, Source: American Community Survey 1 year estimates Note: All values adjusted to 2015 dollars

8 Not Enough Supply to Meet the Demand
Bay Area Renter Households 2015 Based on census data on housing costs as a percentage of household income, the difference between low income, very low income, and extremely low income renter households that are housing-burdened (spending 30% or more of income on rent) , and households at the same income bracket that are not housing burdened (spending under 30% of income on rent) amounts to a shortfall of about 480,000 affordable rental homes in the Bay Area. Proxy for Extremely Low Income : <$20,000 (for Bay Area HH Median Income, precise figure (under 30% AMI): $23,513) Proxy for Very Low Income : <$35,000 (for Bay Area HH Median Income, precise figure (under 50% AMI): $39,189) The Bay Area needs 480,407 more affordable rental homes (shortfall). Source: US Census Bureau, American Community Survey, Table B25106, 5 Year Estimates California needs 1.54M more affordable rental homes. Source: “Confronting California’s Rent and Poverty Crisis,” California Housing Partnership Corporation, April 2016, Source: US Census Bureau, American Community Survey

9 Low-Cost Housing Production
Low-Wage Job Growth vs. Low-Cost Housing Production Low-wage jobs are outpacing low-wage housing the worst in: Alameda - 21,000 new low wage jobs, 5,000 housing permits (difference of 16,323) Santa Clara – 17,000 new low wage jobs, 6,000 housing permits (difference of 10,734) Contra Costa – 12,000 new low wage jobs, 2,000 housing permits (difference of 10,340) Note: Low-Wage = $40,000 or less, High-Wage = over $40,000, based on LEHD categories. (Low-Wage is Tiers 1 and 2, High-Wage is Tier 3). San Francisco actually lost about 1,000 low wage jobs in this time period, and added 6600 housing units. In the Bay Area overall, 63,000 low-wage jobs were added, and only 23,000 low-wage housing permits. Source: US Census LEHD On the Map, Annual Housing Element Progress Reports (APRs). Sources: US Census LEHD On the Map, Annual Housing Element Progress Reports (APRs)

10 High-Wage Job Growth vs High-Cost Housing Production
High-wage jobs are outpacing high-wage housing the worst in: Alameda – 60,580 high-wage jobs grown, 16,305 high-wage housing permits (difference of 44,545) Santa Clara – 78,554 high-wage jobs grown, 35,560 high-wage housing permits (difference of 42,994) San Francisco – 43,306 high-wage jobs grown, 14,463 high-wage housing permits (difference of 28,843) San Mateo – 30,557 high-wage jobs grown, 6011 high-wage housing permits (difference of 24,546) Contra Costa – 25,359 high-wage jobs grown, 11,942 high-wage housing permits (difference of 13,417) Note: Low-Wage = $40,000 or less, High-Wage = over $40,000, based on LEHD categories. (Low-Wage is Tiers 1 and 2, High-Wage is Tier 3). While the jobs-housing mismatch in terms of job growth and new housing production in the Bay Area is worse by numbers at high-wage levels, both low-wage and high-wage categories are growing jobs at nearly 3x the rate of growing housing (2.7x for low-wage and 2.8x for high-wage). -Low-Wage Job Growth = 62,764, Low-Wage Housing Permits = 23,130. -High-Wage Job Growth = 263,326, High-Wage Housing Permits = 92,434. Source: US Census LEHD On the Map, Annual Housing Element Progress Reports (APRs). Sources: US Census LEHD On the Map, Annual Housing Element Progress Reports (APRs)

11 Majority of Housing Permitted is for Higher Income Groups
In every County, over 50% of the housing that has been constructed from 2007 to 2015 has been for households with above moderate income. 73% of the housing permits issued in the Bay Area have been for households above moderate income However, in most of the counties there is about the same number of households in the very low income group as there is in the above moderate income group In some Counties, like San Francisco County, there are actually more households in the very low income group than in the above moderate group Households Per Income Group Per County (American Community Survey year estimates, Table B19001) Alameda Very Low (0-50% AMI): 179,861 Low (50-80% AMI): 95,301 Moderate (80-120% AMI): 95,410 Above Moderate (Above 120% AMI): 188,335 Contra Costa Very Low (0-50% AMI): 112,107 Low (50-80% AMI): 67,367 Moderate (80-120% AMI): 67,445 Above Moderate (Above 120% AMI): 137,728 Marin Very Low (0-50% AMI): 34,306 Low (50-80% AMI): 17,006 Moderate (80-120% AMI): 17,911 Above Moderate (Above 120% AMI): 34,446 Napa Very Low (0-50% AMI): 14,755 Low (50-80% AMI): 9,481 Moderate (80-120% AMI): 8,371 Above Moderate (Above 120% AMI): 16,887 San Francisco Very Low (0-50% AMI): 136,810 Low (50-80% AMI): 57,237 Moderate (80-120% AMI): 57,922 Above Moderate (Above 120% AMI): 101,317 San Mateo Very Low (0-50% AMI): 81,150 Low (50-80% AMI): 47,628 Moderate (80-120% AMI): 47,933 Above Moderate (Above 120% AMI): 83,000 Santa Clara Very Low (0-50% AMI): 177,965 Low (50-80% AMI): 99,742 Moderate (80-120% AMI): 113,258 Above Moderate (Above 120% AMI): 230,498 Solano Very Low (0-50% AMI): 38,684 Low (50-80% AMI): 25,520 Moderate (80-120% AMI): 26,586 Above Moderate (Above 120% AMI): 52,822 Sonoma Very Low (0-50% AMI): 56,440 Low (50-80% AMI): 36,014 Moderate (80-120% AMI): 34,872 Above Moderate (Above 120% AMI): 60,456 Note: Income Limits are from 2015 Tax Credit Advisory Committee Income Limits Sources: “San Francisco Bay Area Progress in Meeting Regional Housing Need Allocation (RHNA),“ Association of Bay Area Governments, “2015 Income Limits,” Tax Credit Allocation Committee, American Community Survey year estimates, Table B19001 Source: Association of Bay Area Governments

12 Affordable housing production lags behind
From , region has permitted < 1/3 of the units allocated for low and moderate-income >99% for above-moderate While the region has built less than 1/3 of the required units for very low, low, and moderate income households, the region has met 99% of its RHNA requirements for above moderate households from the period of Source: “San Francisco Bay Area Progress in Meeting Regional Housing Need Allocation (RHNA),“ Association of Bay Area Governments, Source: Association of Bay Area Governments

13 Subsidized Housing Cannot Keep up with Demand
Affordable housing developments in the Bay Area have large waitlists: San Leandro Marea Alta development: 18,000 interested in 115 affordable units Fremont MidPen Housing: 7,000 interested in 64 units Oakland MacArthur BART and Lake Merritt developments: 10,000 interested in 176 total units After an affordable housing development is leased up, waitlists can still have thousands of people on them. East Bay Asian Local Development Corp. properties waitlists often range 2, ,000 This translates to: BRIDGE Housing’s Marea Alta (San Leandro) : 156 people / unit Fremont: 109 people / unit BRIDGE Housing’s MacArthur BART (108 units) and Lake Merritt (68 units) (Oakland): 56 people / unit Source: Devin Katayama, “In San Leandro, 115 Affordable Units and 18,000 Lined Up to Get In,” KQED, February 9, 2016, . Source: KQED News

14 What are some of the barriers to creating new affordable housing?

15 Barriers High land and construction costs
Construction labor in CA metros = 20% higher than the rest of the U.S. Tax policy – fiscalization of land use NIMBYism Entitlement uncertainty, timing and costs Construction materials and labor costs higher in California (“California’s High Housing Costs,” 2015) Construction labor in CA metros = 20% higher than the rest of the U.S. Regulations require more expensive materials CA coastal metro areas have land costs more than 7 times as expensive as the average U.S. metro (Legislative Analyst’s Office, 2015) Residential land in average U.S. metro = $20,000/acre CA coastal metro areas, $150,000/acre San Francisco, $400,000/acre NIMBYISM People think that having affordable housing in their neighborhood might lower the property value. It has been shown in the literature to have no effect on housing values, and in some instances, it can even raise property values (Young 2016; Wardip, Williams, and Hague 2011). Sources: “California’s High Housing Costs,” Legislative Analyst’s Office, March 17, 2015, Cheryl Young, “There Doesn’t Go the Neighborhood,” Trulia, November 16, 2016, Keith Wardrip, Laura Williams, and Suzanne Hague, “The Role of Affordable Housing in Creating Jobs and Stimulating Local Economic Development,” Center for Housing Policy, January 2011, Source: California Legislative Analyst’s Office

16 Loss of Funding Source: California Housing Partnership Corporation
Source: “Confronting California’s Rent and Poverty Crisis,” California Housing Partnership Corporation, April 2016, Source: California Housing Partnership Corporation

17 Why is it important to create new housing affordable to low income households?

18 Why not just build more market-rate housing?
Some argue that we should focus on building market-rate housing and allow the process of filtering to bring “naturally affordable” housing to the market. But…

19 The limitations of filtering
It doesn’t work in gentrifying neighborhoods: Changes in housing preferences to architecturally significant property has disrupted the filtering process More likely to see “reverse filtering,” also known as “filtering up” in hot neighborhoods It can take decades. Rent of a typical unit only declines 0.3% each year 15 years before units filter down to 80% median income 50 years before units filter down to 50% median income In gentrifying neighborhoods: Older units often redeveloped into high-end housing (Immergluck 2016). Changes in housing preferences to architecturally significant property has disrupted the filtering process (Zuk and Chapple 2016). It can take decades : rent of a typical unit only declines 0.31% each year 15 years before units filter down to 80% median income 50 years before units filter down to 50% median income (Zuk and Chapple 2016). Bay Area units filter down at a slower rate Bay Area units filter down at 1.5% per year compared to national average of2.2% per year (Zuk and Chapple 2016). Sources: Miriam Zuk and Karen Chapple, “Housing Production, Filtering, and Displacement: Untangling the Relationships,” Institute of Governmental Studies, May 2016, Stuart S. Rosenthal, “Are Private Markets and Filtering a Viable Source of Low-Income Housing? Estimates from a ‘Repeat Income’ Model,” American Economic Review 104, no. 2 (February 2014): 687–706, Dan Immergluck, “Filtering doesn’t work in hot, gentrifying neighborhoods,’ in “How To Make Expensive Cities Affordable for Everyone Again,” The Washington Post, February 19, 2016,

20 Subsidized housing is more effective
Market rate housing production in 90s resulted in lower median rent today, but also higher cost burden for low income renters Subsidized affordable housing produced in ‘90s had twice the impact as market rate housing in mitigating displacement Now we’ll look at some of the solutions

21 What are some of the tools to build affordable housing?

22 Creating New Affordable Housing
Generating Units Density bonus Community Land Trusts Accessory Dwelling Units (ADUs) Public housing Permit streamlining Public land disposition Tax exemptions Land banking Reduced parking requirements Leveraging the Market Inclusionary zoning Public Investment Land value capture Commercial linkage fees Bonds for affordable housing construction Impact fees Housing trust fund Housing levy Generating Funds

23 Success Story: Commercial Linkage Fee in Redwood City
City Council passed Affordable Housing Impact Fee Ordinance in 2015 Includes both residential and commercial linkage fees Commercial rates: $20/sq.ft. office $5/sq.ft. hotel and retail Impact fees go to new City Affordable Housing Fund Utilized San Mateo 21 Elements Nexus Study Notes: Redwood City was first San Mateo City to adopt the linkage fees after participating in the San Mateo 21 Elements Nexus Study Source: Redwood City Community Development Department,

24 Success Story: Tax Incentive for Affordable Housing in Portland, OR
10-year property tax exemption on new housing projects with at least 20% below market rate units Targeting areas close to transit, pedestrian infrastructure, and in areas with limited affordable housing $3 million/year cap on tax break Exemption only applies to the residential portion of structural improvements During the term of the exemption, a minimum of 20% of the number of units must be affordable to households earning 60% or less of the area median family income (MFI), or to households earning 80% or less of the area MFI when the project’s market rents are at or exceed 120% of the area MFI levels or a market study supports rents of similar units in the same geographic area at or above 120% of the area MFI. Sources: City of Portland, Steve Law, “County, city agree to triple property tax break for affordable housing,” Portland Tribune, September 24, 2015, Example: Burnside Street Tower, 57 workforce housing units (<60% AMI)

25 What are some success stories and challenges in the Bay Area?

26 Today’s Panel Rick Jacobus Street Level Advisors Gloria Bruce
East Bay Housing Organizations Kristy Wang SPUR Lewis Knight Facebook


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