CINCH reports based on the 2004 AHS Metropolitan
survey
Housing analysts use two techniques--Components of Inventory
Change (CINCH) and rental market dynamics--to look at a
housing market at two points in time and explain how the
observed changes came about in physical (bricks and mortar)
terms. CINCH focuses first on the overall number and then
the characteristics of units at different times. Using CINCH
methods, analysts answer such question as: What happened
to the x units that disappeared from the housing stock between
the beginning and the end of the period? or Where did the
increase in owner-occupied units come from? Rental market
dynamics, which is really a type of CINCH analysis, focuses
on the rental market with particular emphasis on the affordability
of rental housing. Using rental market dynamics techniques,
analysts answer such questions as: Have the number of rental
units affordable to households with very low incomes increased
or decreased over the period? or What happened to the units
that were affordable to low-income households at the beginning
of the period?
Previously HUD commissioned CINCH and rental market dynamics
analyses using the national American Housing Survey (AHS).
This series of reports focuses on the 13 metropolitan housing
markets surveyed in the 2004 American Housing Survey, comparing
each with the year it was previously surveyed, either 1994
or 1995.
You may also download a SAS
dataset (*.exe) and an ASCII
dataset (*.exe) that you can link to the regular AHS
data files to produce custom tabulations of CINCH and rental
market dynamics.
Components of Inventory Change and Rental Market Dynamics:
1994-2004
- Atlanta (*.pdf, 1.01MB)
- Cleveland
(*.pdf, 1.01 MB)
- Denver
(*.pdf, 1.01 MB)
- Hartford
(*.pdf, 997 KB)
- Indianapolis
(*.pdf, 1.02 MB)
- Memphis (*.pdf, 1.1 MB)
- New Orleans (*.pdf, 1.1 MB)
- Oklahoma City (*.pdf, 1.15 MB)
- Pittsburgh (*.pdf, 1.05 MB)
- Sacramento (*.pdf, 1.05 MB)
- San Antonio (*.pdf, 1.00 MB)
- Seattle (*.pdf, 1.10 MB)
- St. Louis (*.pdf, 1.05 MB)
- CINCH Weighting Strategy (*.pdf, 102 KB)
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