past several years. As described above, most published statistical data are national or
voivodship level aggregates. As municipalities begin to develop locally based community
development strategies, they quickly determine that they need local data to facilitate local
analyses and monitoring systems. One of the first attempts at assembling local indicators
resulted from the inclusion of Poland in the Central and Eastern European Country
Monographs for Habitat II; information was collected in Warsaw. Other efforts (Szczecin,
Ostrow Wielkopolski, and Gdynia, for example) evolved from strategic housing or
economic development processes that identified data needs, sources and gaps.
In general, while data is available to gminas to describe basic demographic trends,
there is insufficient data on household income, savings, and preferences for housing and
housing investment. Similarly, assessment of housing demand is hindered by the lack of
supply side data on historic and current sales prices, housing development costs, and use
of financing mechanisms, including subsidies as well as more detailed descriptive
information of the housing products. This type of information is crucial to local
governments responsible for helping to meet the housing needs of its residents. Also,
surveys have been undertaken to determine satisfaction with current housing conditions,
housing preferences and desire to change, and effective demand for housing, to assist in
determining appropriate directions for local housing and community development
strategies by several local governments.
#
Szczecin.
Selected indicators for Szczecin were developed in conjunction with
Szczecin's Housing Policy Group in the process of developing the city s housing strategy,
which was supported by USAID. During the development of the strategy, emphasis was
placed on the importance of monitoring selected key conditions in the housing sector and
progress in housing policy goal attainment. Thus, the indicators were selected to monitor
both the local housing system and the progress of housing strategy implementation.
Indicators include those that use existing data sources as well as some for which data
must be generated. For instance, Szczecin had not as yet begun to record data on sales
prices (although it had information on the prices of communal units sold). The
municipalities should, in fact, be accessing sales price data from the real estate brokerage
community, the courts (sales records) and local cooperatives.
Szczecin's housing survey originated from review of the extensive research
conducted by the Szczecin Housing Policy Group to assess local housing conditions for
development of the local housing policy. A glaring deficiency in their research, and
essential to developing an effective housing policy and strategy, was thorough information
on household income and housing expenditures. Due to a lack of income data, a phased
program was conceived to attempt to develop a baseline of local income data. Local
research firms, Habitat and the Social Research Center, were commissioned to conduct
a field survey of 1,000 families selected as representative of the city's population.
The survey findings were compared against estimates and assessments of gross
and net annual income of Szczecin residents obtained through two methodological
II 11
<
New Page 1
Website Hosting Provider