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WORKING DRAFT Last Modified 2/21/2019 11:59 AM Pacific Standard Time Printed Housing for All: Global Practices for Vancouver URBAN DEVELOPMENT INSTITUTE CONFIDENTIAL AND PROPRIETARY Any use of this material without specific permission of McKinsey & Company is strictly prohibited Presentation | February 21, 2019

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Page 1: Housing for All: Global Practices for Vancouver · 1 Mumbai, Pio de Janeiro, and Riyadh, 2009; Auckland, Johannesburg, New York, and San Francisco, 2013 2 New York and San Francisco

WORKING DRAFT

Last Modified 2/21/2019 11:59 AM Pacific Standard Time

Printed

Housing for All:

Global Practices for Vancouver

URBAN DEVELOPMENT INSTITUTE

CONFIDENTIAL AND PROPRIETARY

Any use of this material without specific permission of McKinsey & Company is strictly prohibited

Presentation | February 21, 2019

Page 2: Housing for All: Global Practices for Vancouver · 1 Mumbai, Pio de Janeiro, and Riyadh, 2009; Auckland, Johannesburg, New York, and San Francisco, 2013 2 New York and San Francisco

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2McKinsey & Company

The century of cities

SOURCE: McKinsey Global Institute cityscope database

1.6B people or at least 1/3rd

of all those living in cities will

face an affordability

challenge by 2025

~440M

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3McKinsey & Company

0 0.5

50

10

2.5

15

0

20

25

30

5

2.0

40

45

35

3.0

55

1.51.0 Households

Million

Annual income available for housing

$ thousand

SOURCE: McKinsey Global Institute analysis

1 In European cities incl. London; smaller/ larger in other economies

Affordability gap

$ billion

18

Annualized market price

of standard unit

Mortgage interest rate and

amortization over 30 years for a

decent non-city center 60 sqm unit1

2 3 7 6

30% of

household

income

We define the affordability gap as the difference between the annualized market price of a standard

unit and the income available for housing

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4McKinsey & Company

1 As defined by World Bank.

19 228

10

4

10

14

11 12 239 2113 37

2

12

1 1420

153 16 17

6

4 185 206 367 38

8

16

London

Dhaka

Population, Million

New York

Tokyo

Beijing

Shanghai

Mumbai

Lagos

Affordability gap, % of GDP

High Low

Mid

Affordability gap

$ billion

Country income group1

SOURCE: World Bank; UBS Prices and Earnings Report 2012; Numbeo; CEIC; Deposits.org; Global Banking Pool; Royal Bank of Scotland; Zillow; Metroscubicos; Exame; Notaires Paris Ile de France; Jones Lang

LaSalle; McKinsey Global Institute Cityscope database; US Census Bureau; national statistics offices; McKinsey Global Institute analysis

Affordability gap can be large

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5McKinsey & Company

SOURCE: World Bank; UBS Prices and Earnings Report 2012; Numbeo; CEIC; Deposits.org; Global Banking Pool; Royal Bank of Scotland; Zillow; Metroscubicos; Exame; Notaires Paris Ile de France; Jones Lang

LaSalle; McKinsey Global Institute Cityscope database; US Census Bureau; national statistics offices; McKinsey Global Institute analysis

The cost of the global affordable housing gap is about $650 billion, or about 1 percent of global GDP

Note: Cost of bridging the gap is the amount of money needed to bring the annual income available for housing of all the low- income households to the market annualized cost of a standard unit. Assumptions: mortgage rates by country where available

otherwise regional averages assumed, 30-year tenure of mortgage with 20% down payment.

Affordability gap by region, 2012

$ billion

179 110

81

59

Rest of Asia

Pacific

Nprtheast

Asia

China region Latin America United States

and Canada

48

Western

Europe

37

51

World

total

Africa and

Middle

East

42

Eastern Europe

and Central

Asia

30

South Asia

~640

2.0 2.0 0.4 0.91.30.91.11.20.80.4

Share of GDP, 2012

%

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6McKinsey & Company

By 2025, the affordable housing gap could affect 440 million households, or one-third of the global

urban population

1 1 Financially overstretched low-income households in emerging economies are defined as those living in standard housing but facing housing cost burden. 2 Estimated for over 2,400 cities by extrapolating 2012 property prices proportional to

increase in median incomes.

SOURCE: Eurostat; HUD-PD&R Housing Affordability Data System microdata; Australia Census reports; Canada Census reports; Japan Census; Indian Ministry of Housing and Urban Poverty Alleviation; McKinsey Global Institute Cityscope database; McKinsey Insights China Consumer

Survey 2012; China National Bureau of Statistics; Rosstat; Korean Ministry of Land; UN-Habitat; World Bank; UBS Prices and Earnings Report 2012; Numbeo; CEIC; Deposits.org; Global Banking Pool; Royal Bank of Scotland; Zillow; Metroscubicos, Exame; Notaires Paris Ile

de France; Jones Lang LaSalle; US Census Bureau; national statistics offices; McKinsey Global Institute analysis

200235

35

Increase in millions of households

facing affordable housing challenge

99

437

232

99331

2012

7

106

Estimated

increase2

2025

1.61.2 0.4

Living in

sub-

standard

units

Financially

over-

stretched

households

Millions of households facing affordable

housing challenge

32

96

64

Emerging1 Developed Total

Population

Billion

Emerging economies

Developed economies

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7McKinsey & Company

Building affordable housing could be an annual market of around USD 220 billion globally

Global

China

Russia

India

Brazil

Nigeria

94–104

12–13

11–12

8–10

5–7

220–250

Construction opportunity

$ trillion

Replacement

of existing

substandard

housing

Global affordability

of housing

opportunity

6.5–8.2

New affordable

units added by

2025

8.8–11.0

2.3–2.9

Annual spending to close affordability gap in top

five countries and globally by 2025 (new units)

$ billion

1 Represents only additional low-income households entering cities by 2025 that will face affordability challenges.

NOTE: Numbers may not sum due to rounding.

SOURCE: Turner and Townsend; Gardiner and Theobald 2011; AECOM; Eurostat; UN Stats; McKinsey Global Institute Cityscope database; US Department

of Housing and Urban Development; Global Construction 2025 report; Mexico Chamber of Commerce; McKinsey Global Institute analysis

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8McKinsey & CompanySOURCE: Geospatial Analytics

Land markets in global cities are inefficient

Mumbai ManilaShanghai Johannesburg

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9McKinsey & Company

SOURCE: Land and property values in the US, Lincoln Institute of Land Policy; Guanyu Zheng, The effects of Auckland's metropolitan urban limit on land prices, New Zealand Productivity Commission, March 2013; TOKI

website; expert interviews; ABSA Report; Mumbaipropertyexchange. com; Sulekha. com McKinsey Global institute analysis

Many cities have very high land costs as a share of total housing unit cost

1 Mumbai, Pio de Janeiro, and Riyadh, 2009; Auckland, Johannesburg, New York, and San Francisco, 2013

2 New York and San Francisco figures represent "land value share of home value."

3 Range estimated from average property price and sample land transaction in Goregaon, Malad, Chembur, and Mulund, where land transaction data were available. Assumed floor-area ratio = 1.33 as average of Mumbai city

78

49

42

41

36

22

51

58

59

64

Auckland

San Franciso2

25-60

Johannesburg

New York2

40-75Mumbai3

Rio de Janeiro

50-7525-50Riyadh

Land costs

Other costs

Average share of land cost in unit price1

%

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10McKinsey & CompanySOURCE: OECD Stat; McKinsey Global Institute analysis

100

80

0

110

120

140

150

130

90

2000

Germany

UK

1989 95 05 2009

United Sates

United States

Germany

UK

Labor productivity has been falling for 20 years

Value added (volume)/labor input (hours worked)

Index: 100 = 1989 for United States, 1991 for Germany, 1994 for UK

Rest of economy

Construction

Construction productivity has been stagnating in advanced economies

Purchasing excellence

Lean execution

Design-to-value

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11McKinsey & Company

SOURCE: Expert interviews; Raising the roof: California housing development projections and constraints, 1997–2020, California Department of Housing and Community Development, 2000; McKinsey Global Institute

analysis

Regulatory barriers can stall construction indefinitely – California example

1 Based on 2000 report from California Department of Housing and Community Development (see below); 2 Defined as a delay or postponement in the process; 3 Environmental impact report.

Harder

Easier

Single family Multifamily

Sample

projects1

Average

entitlement

process

No rezoning or general

plan amendment

Compliant with specific plan

(streamlined process)

Zoning change or general

plan amendment, but no EIR3

EIR with no litigation

EIR with litigation

Site

Size

Acres

42

61

52

34

34

Number

of units

62

219

187

118

118

Number of

continuances 2

3

4

6

5

n/a

En

title

me

nt co

mp

lexity

Duration

Months

7

9

9

15

33

6

9

9

21

39

Duration

Months

3

7

5

8

n/a

108

249

132

124

124

Number of

continuances 2Number

of units

5

13

7

6

6

Site

Size

Acres

Average

entitlement

process

Sample

projects1

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200

50

650

150

550

100

250

450

300

350

2%

400

500

600

700

7%750

0 0%

1%

3%

4%

5%

6%

1085

Median housing price

$KYOY growth

Percent

1972 75 80 90 95 2000 05 15

Historic data indicates house prices influenced both by supply and demand dynamics

and market factors

SOURCE: US Census 1972-2016

Moody’s Analytics

NOTE: Housing stock data switched from quarterly to annual in 2010; 2009-11 growth rate averaged

San Diego County inflation-adjusted median house price, and population & housing growth, 1972-2016

Downward price inflectionsInflation Adjusted House Price Population Growth Housing Growth

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13McKinsey & Company

Vancouver population growth and housing starts

6,474

8,167

6,334

8,300 8,400

6,900

9,900

11,000

5,000

2,000

0

7,000

3,000

6,000

4,000

8,000

9,000

10,000

1,000

11,000

12,000

Q2 2016Q3 2014 Q4 2014 Q1 2015 Q2 2015 Q3 2015 Q1 2018Q4 2015 Q1 2016

6,200

Q3 2018Q1 2017Q3 2016

5,277

Q4 2016 Q3 2017 Q4 2017 Q2 2018

4,947

5,542

Q2 2017

Metro Vancouver Housing Starts and Populations Change (15+)

Housing Starts

Population Change (15+)

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What will it take to meet

this demand?

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15McKinsey & CompanySOURCE: “Order Without Design” Alain Bertaud, 2012

Six ways to unlock land

Population densities in built-up areas

People/ha

Six ways to unlock land

0.2 1.00.3 0.5

200

0.8

0 50 100 150 250 400300 350

0.90 0.1 0.70.4 0.6

New York

Atlanta

Paris

London

Los Angeles

Singapore

Hong Kong

Barcelona metro.

Smart, transit-oriented development

Release public land for housing

Unlock vacant serviced land

Land assembly or readjustment

Reform urban land-use regulations

Formalize informality

1

2

3

4

5

6

6

22

40

62

88

107

171

367

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16McKinsey & CompanySOURCE: Alain Bertaud, “Options for new alternatives for development control regulation and justification for increasing FSI,” April 2008; McKinsey Global Institute analysis

Floor area ratio (FAR) zoning in Seoul – density aligned with transit capacity

0.5 8–10FAR

10 4–10 2–4 1–2 <1 Industrial areasFAR

Urban density reforms and TOD…

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17McKinsey & Company

Case study: Alameda Ferry Terminal

Upshifting can deliver density without changing character

SOURCE: Southern California Association of Non-Profit Housing, City of Menlo Park

Medium-low density single family

homes near agricultural land

Slightly denser distribution of single

family homes

Condo complexes and single family

homes

Total units603 1583 Total units 3245 Total units

Units/net acre 3.7Units/net acre

(new development)9.8 20Units/net acre

(new development)

Lohart Homes, Montebello (14 du/acre)Vecino Self-Help Project Indio (4.5 du/acre) Iron Horse Lofts, Menlo Park (25 du/acre)

Density Illustration Density Illustration Density Illustration

Current state Conservative densification “Upshift” to Urban Center

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18McKinsey & Company

By raising density, land for affordable housing can be provided

37

136106

71Residential

Other

143143

6

6

After developmentBefore development1

Other housing

Affordable housing1

12

2.3

1.0

SOURCE: Nico Calavita and Alan Mallach, eds., Inclusionary housing in international perspective, Lincoln Institute of Land Policy, July 2010;

Barcelona City Council; McKinsey Global Institute analysis

1 Calculated based on number of housing units, with a floor area ratio of 1, unit size 78 square meters (average size in Barcelona).

Example Barcelona

Floor area ratio

Land use

Hectares

Housing units

Thousands

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19McKinsey & Company

80

0

20

60

40

100

0 5 82 3 4 76 9 10

Floor area ratio

Developer economics by floor-area ratio and share of affordable units

Affordable housing units

% of total

Implied land cost >0

Affordable units need to

share some cost of land

Implied land cost <0

Affordable units can be

offered below

construction cost

SOURCE: McKinsey Global Institute analysis

1 Assuming the following cost breakdown: 50% land price, 40% construction cost, 10% margin, and affordable housing sold at 50% of market price

Break-even line

for developer vs.

traditional market rate

development when

providing affordable units

at construction cost only

(zero implied land cost)

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20McKinsey & Company

In Los Angeles County, 28 percent of multifamily parcels use less than 50 percent of zoned capacity,

with potential to add 306,000 units under current zoning

<25

25–50

Parcels not zoned

for multifamily

50–75

75–100

>100

Utilization rate Percent

Hollywood

West

Hollywood

Hancock

Park

Park La Brea

Sentous

Echo Park

Downtown

Silver

Lake

A closer look at Los Angeles County’s multifamily utilization1

1

SOURCE: Los Angeles County GIS data portal; McKinsey GIS analysis; McKinsey Global Institute analysis

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21McKinsey & CompanySOURCE: US Census; San Diego Housing Commission

Parking norms should reflect technology impact

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22McKinsey & CompanySOURCE: Alain Bertaud, Mumbai’s FSI conundrum, 2002; World Bank; McKinsey Global Institute analysis

5

0

1

6

7

2

3

4

8

9

Maximum floor-area ratio

4 8 24

Distance from city centerKilometers

16 20 32Center 2812

New York

Vancouver

Seoul

Singapore

Maximum floor-area ratio decreases with distance from city centers

Vancouver has a lower variance in FAR compared to cities with similar population densities

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23McKinsey & Company

View cones

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24McKinsey & CompanySOURCE: Expert interviews; McKinsey Global Institute analysis

Time savings

40-50%

Cost savings

30%

Impact from industrial approach …

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25McKinsey & Company

Examples

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26McKinsey & Company

Taxes and fees in Vancouver

Site Size 20,000

FSR 2.5

Total Buildable for site 50,000

Site Price $ 30,000,000

Value per Buildable for site $ 600

Condo Value 1,200 PSF

Average Unit Size $ 800 SF

Average Unit Value 960,000

Residential Property Tax $ 22.05 1.26% Municipal 3 years until permit and 2 years construction

Vacant Home Tax $ 12.00 1.00% Municipal 2 years

Community Amenity Contribution $115 PBA ON 1.9FSR increase $ 87.40 $ 115 Municipal Now proposed at $330 to $425 on Broadway vs $115

Metro Vancouver Sewage Development Cost Charge (DCC) $1,072 PER UNIT $ 1.34 Per unit Municipal

Development Cost Levy (DCL) $ 15.62 Municipal

Public Art $ 1.98 $ 1.98 Municipal

Building Permit Fee $ 2.20 Municipal

Development Permit Fee and Zoning Charge $ 4.00 Municipal

TransLink Development Cost Charge (DCC) $1,500 per unit $ 1.88 Regional

Property Transfer Tax-Purchase of an assembled site $ 28.36 3.00% Provincial

Speculation Tax $ 18.13 0.50% Provincial Presumed during development process pending details of legislation

Property Transfer Tax on Average unit of 800 SF $ 21.50 2.00% Provincial

GST On unit ($1,200 PSF condo value) $ 60.00 5.00% Federal

Total Taxes and Charges $ 276.45 Per Buildable

Total Taxes and Charges $ 314.65 Per Saleable *excludes gross uo on sale value

Cost On 800 SF unit* $ 251.721 26.22% Total

* excludes payroll taxes on labour and taxes on materials

Size Tax Fee Percentage Purchase price

FSR 500 $ 157,326 26.22% $ 600,000

Total Buildable for site 700 $ 220,256 26.22% $ 840,000

Site Price 900 $ 283,186 26.22% $ 1,080,000

Value per Buildable for site 1,200 $ 377,582 26.22% $ 1,440,000

GOVERNMENT ADDICTION TO TAXING REAL EXTATE

Project Analysis (Typical Cambie Corridor Assembly Project)

Government Taxes/Fees/Charges on Housing

This expert analysis provided by Paul Sullivan, Senior Partner, Burgess, Cawley, Sullivan and Associates Ltd., one of largest commercial real estate appraisal and property tax consulting groups in Canada

Based on conservative, three-year approval process and two years to build

Based on a Local Purchaser/Developer so no Foreign Buyer Tax Levied

COST IMPACT ON TYPICAL HOUSING UNITS

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27McKinsey & Company

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29McKinsey & CompanySOURCE: McKinsey Global Institute

The Seattle story (1/2)

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30McKinsey & CompanySOURCE: McKinsey Global Institute

1 In the primary mortgage market, lenders originate loans directly with borrowers.

Thoughts from Seattle (2/2)

Themes Tactics

Lower the cost ▪ Renew multi-family developers tax exemption

▪ Limited use of incentive zoning for affordable housing including

public subsidies and tax incentives (now under review)

▪ $30 million annual Housing Levy for affordable housing

▪ Generate pre-approved designs for detached Accessory

Dwelling Units in order to fast-track (2019)

Engage the people ▪ Cut support for the Neighborhood District Councils

▪ Create citywide Community Involvement Commission (7/16)

▪ Create Middle-Income Housing Advisory Council (1/19)

Change the rules ▪ Restrict short term commercial rental operations (2017)

▪ Reduce minimum parking requirements by up to 50 percent in

hi-transit multifamily zones

▪ Rezone for density around HALA goals (TBD)

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31McKinsey & CompanySOURCE: McKinsey Global Institute

Housing will only be solved at the local level

Define the local problem and its root

causes

Create a housing delivery unit

Identify local solutions and

map “housing hot spots”

Align stakeholders behind a local

strategy and vision

Execute strategy

and measure performance

Step 1

Step 2

Step 3

Step 4

Step 5

and we

provide a

blueprint for

government,

business, and

citizens to

work together

to close

the gap

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Global Practices for Vancouver

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Presentation | February 21, 2019