 |
|
 |
|
 |
|
 |
|
 |
|
 |
|
|
FOR LOW INCOME COMMUNITY DEVELOPMENT |
|
Data Sources for Housing and Community Development Organizations Following are links to nine on-line data sources for housing and community development organizations. The first four sources can be downloaded and mapped at geographic levels smaller than a city. The next five sources can also be mapped, but the smallest geographic level is a city. There are varying downloadable formats for all of the sources and some will take more time to prepare for mapping than others. In all cases, it is a wise idea to read any accompanying documentation that comes with the data. Assisted Housing: National and Local A Picture of Subsidized Households Description: The first type is "A Picture of Subsidized Households" for the 1970s, 1993, 1996, 1997 and 1998. There is downloadable data for each year (or years). The data includes information on the following assisted housing programs: Indian Housing Make sure you download the files to help you load data into a spreadsheet or database program. Don't skip the "Read Me" file that comes along with these extra files. It will explain how to insert the data into a template with all of the variable labels. You should also print off the instructions for understanding the codes used in the data. Downloadable Format: ASCII Geographic Level: Data is aggregated by state, city, housing agency
and project. Description: The third type of data is all HUD Multifamily insured mortgages except for the Hospital Mortgage Insurance Program. The data includes the HUD project number, the project name, street, city, state, and zip code. It also includes information on the number of units and information on endorsement, mortgage amount, payment, maturity, interest rate, the mortgage holder and the mortgage servicer. Downloadable Format: Access 7 and dBase III Geographic Level: Street address of projects Description: Created by the Tax Reform Act of 1986, the LIHTC program gives States the equivalent of more than $3 billion in annual budget authority to issue tax credits for the acquisition, rehabilitation, or new construction of rental housing targeted to lower-income households. The database includes project address, number of units and low-income units, number of bedrooms, year the credit was allocated, year the project was placed in service, whether the project was new construction or rehab, type of credit provided, and other sources of project financing. Although coverage for the earlier years (1987-1989) is spotty, the database covers almost all LIHTC projects from 1992 to 1994 and most projects from 1991 and 1992. The database has been geocoded, enabling researchers to look at the geographical distribution and neighborhood characteristics of tax credit projects. Downloadable Format: ASCII Geographic Level: Address Description: This database was created in September 1999 to provide a way of measuring the potential impact of expiring project-based subsidy contracts in communities. It represents the most comprehensive picture of project-based subsidies yet developed. Downloadable Format: Access 7 Geographic Level: Address and census tract Description: The Government Information Sharing Project was initiated with funding from the U.S. Department of Education and is administered at Oregon State University Libraries. The original goal of the Project was to demonstrate improved access to electronic government information, especially for remote users and the general public. The sources of the data are the Census Bureau, Bureau of Economic Analysis, National Center for Educational Statistics, and the MESA Group. The data sets include demographic information taken from the Census along with other socioeconomic data such as education statistics and various economic statistics. Downloadable Format: text based Geographic Level: County and city Description: Division of Department of Labor that has data on economic, employment and labor statistics. Downloadable Format: text based Geographic Level: City and State levels State Data Centers Maryland State Data Center Note: All states have Data Centers to provide Census Data to communities. Do a search on the Internet for the Data Center in your state. Description: In addition to Census Data, this site includes socioeconomic projection for the state of Maryland and its jurisdictions. Downloadable Format: ASCII Geographic Level: State and city Habitat for Humanity Description: On this page you will find articles and statistics exploring the need for decent, affordable housing, as well as links to other organizations addressing housing and homelessness issues. Downloadable Format: text based Geographic Level: State and regional National Low Income Housing Coalition (NLIHC) Description: NLIHC has published a report called "Out of Reach." This study analyzes the affordability problems renters looking for housing are likely to face in the private rental housing market in the United States. Data is available for every county in the nation. Out of Reach contains income and rental housing cost data for the fifty states and District of Columbia by state, metropolitan area, and county or, in the case of New England, town. For each, it calculates the income that renter households need in order to afford rental housing and estimates how many of these households cannot afford to pay the Fair Market Rent (FMR), and what they would need to earn to pay the rent and keep their housing costs at 30 percent of their income, the generally accepted standard for affordability established by Congress and the Department of Housing and Urban Development. Downloadable Format: text based Geographic Level: State, County, MSA, City not all regions
but some Description: A strategic alliance between the Council for Urban Economic Development (CUED) and Conway Data Inc. (the publishers of Site Selection magazine) has produced a Web site that provides community information for companies seeking business/facility locations. It enables comparisons of US counties, provides location archives, and , over time numbers of community databases. Downloadable Format: text based Geographic Level: State, County |