african union for housing finance conference: getting a rating to raise funding for housing...
DESCRIPTION
Presentation by Kecia Rust, Centre for Affordable Housing Finance in Africa as part of the 29th annual conference of the African Union for Housing Finance.TRANSCRIPT
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Housing Investors DashboardCapturing the right data, identifying the gaps
Kecia Rust
African Union for Housing Finance29th Annual Conference, Mobilising Capital for Housing Finance
Mauritius, 12 September 2013
2What does a business case for
investment in housing look like?
3
Housing data is scarce
0,07 0,07 0,14 0,29 0,32 0,38 0,45 0,5 0,51 0,98 1 1,15 1,19 1,2 1,53 1,88 2,29 2,32,9
9,25
12,9913,85
18,21
0
2
4
6
8
10
12
14
16
18
20
Senegal(2010Hofinet)
CentralAfricanRepublic(2005WB)
Mozambique(2008Hofinet)
BurkinaFaso(2013WB)
Tanzania(2013,TMRC)
Nigeria(2013WB)
Ghana(2013WB)
Cameroon(2005WB)
Malawi(2013WB)
Uganda(BoU2012)
Egypt(2011Hofinet)
Algeria(2013WB)
Burundi(2013WB)
Zimbabwe(2012responsefromCABS)
Zambia(2012Hofinet)
Kenya(2013WB)
Botswana(2013WB)
Rwanda(2010WB)
Seychelles(2013WB)
Tunisia(2013WB)
Maurius(2011Hofinet
Morocco(2013WB)
Namibia(2011Hofinet)
SouthAfrica(2012ownanalysis)
Percent
MortgagesasapercentofGDP
Source:WorldBankdatafromSimonWalley;emailcorrespondencefromcountry-levelprac oners;Hofinet;ownanalysis.
33.9
4
The dashboard project
Identify housing finance players:
about 146 found
Survey a sample: about 30
interviewed
Build a prototype dashboard of
data: SADC + Kenya, Ghana,
Nigeria: 450 data points
Track data over 5 years: 2007-
2012
Lessons
Too much data, not enough
analysis
Too little data! Many data gaps
What does it all mean?
Overlooking the really
interesting stories
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Narrowing the focus & changing the view
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Narrowing the focus & changing the view
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Still a long way to go…
Sharper views, better comparisons: housing focus
Policy & legislative links
Market scoping & opportunity
Regular (annual) updates
Housing data is still missing:
we need to collect it, and we need to create it
Building material indices
House price indices
Property market indices
Lender data: products,
origination, performance, book
Central bank data: mortgage,
pension, microfinance data,
NPLs, etc.
22%
of
loa
ns
90
+ d
ays
South Africa: non-
performing loans by
calendar date (Mortgage
bonds originated between
2004 and 2008, mortgages
from big 4 banks)
Source: Deeds office data sourced from the ALHDC and XDS. Analysis by Eighty20.
In South Africa, we have been able to track
mortgage loan performance by sub-market
8% of FSC (low-income targeted)
mortgages and 8.4% of Non-FSC
(regular market) mortgages were
90 days or more in arrears in
February 2012
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Deeds registry data creates new opportunities
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Deeds registry data creates new opportunities
25Deeds registry, combined with census data takes
it even further…
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Other efforts: the Developing Smart Cities Portal
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Thank you!
Kecia Rust
www.housingfinanceafrica.org
+2783 785 4964
Download the Housing Finance in Africa
2013 Yearbook from
http://www.housingfinanceafrica.org
40 country profiles and 4 regional profiles.