Northwest Area Foundation Social Indicators Survey, September-December 2003 (ICPSR 4694)

Published: Jul 10, 2007

Principal Investigator(s):
University of Oregon. Oregon Survey Research Laboratory; Northwest Area Foundation

Version V1

This study was designed to obtain information regarding community, neighborhood, local government, and community-based activities in an effort to discover ways of reducing poverty in the Northwestern states of Idaho, Iowa, Minnesota, Montana, North Dakota, Oregon, South Dakota, and Washington. Respondents were asked a series of questions relating to their attitudes toward their place of residence. They were asked how long they had lived at their current place of residence, what was the best thing about living there, and what changes they would make. Respondents were asked more specific questions about their immediate community and neighborhood such as whether they felt safe walking around during the day and at night, whether there were job opportunities, and how they perceived race relations and living conditions in their community. They were asked whether or not people in their community shared similar values as well as what sorts of attitudes people in their community had. For example, respondents were asked whether there was a sense of belonging, hope, worry, pride, anger, or boredom among members of their community. They were also asked about the importance of feeling like a member of a community and about their personal relationships with fellow neighbors. Other questions concerned their involvement in public affairs, from what sources they received their news, whether or not they trusted those news sources, and with what frequency they read the newspaper. Respondents were asked if they felt the government had the greatest responsibility in caring for citizens and whether the government cared more about individuals or larger interests. Respondents were also asked about their social activism such as volunteer work, donating blood, and attending government meetings. Other questions asked about their voting history, as well as their involvement with local church, sports, civic, and fraternal organizations. Respondents were asked about their geographic location including state, county, and town, whether their place of residence was considered urban or rural, and whether or not they lived near an Indian reservation. The survey also collected general information on the respondents such as gender, education, marital status, employment status, and income.

University of Oregon. Oregon Survey Research Laboratory, and Northwest Area Foundation. Northwest Area Foundation Social Indicators Survey, September-December 2003. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2007-07-10.

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To protect respondent privacy, certain geographic variables belonging to the original dataset are restricted from general dissemination. Users interested in obtaining these data must complete an Agreement for the Use of Confidential Data, specify the reasons for the request, and obtain IRB approval or notice of exemption for their research. Apply for access to these data through the ICPSR Restricted Data Contract Portal, which can be accessed via the study home page.

2003-09 -- 2003-12

2003-09 -- 2003-12

(1) More information about the Northwest Area Foundation can be found online at (2) Responses to open-ended questions can be found in the codebook. (3) In the banner tables, the second category for the variable HH income (INCOME) category should read "$18,000-$25,000."

The final sample of 8,381 respondents was taken from an initial screening of 96,628 phone calls.

Adults 18 and older living in the Northwestern region of the United States including the following states: Idaho, Iowa, Minnesota, Montana, North Dakota, Oregon, South Dakota, and Washington.


survey data

Response rate 1 = 32.8 percent, Response rate 2 = 32.9 percent, Response rate 3 = 34.7 percent, Response rate 4 = 34.8 percent. For documentation explaining the calculation of the different response rates, please see the "AAPOR Outcome Rate Documentation" section of the codebook.



Weights were calculated on two levels (state and region) using three demographic variables (age, sex, and household size). State weights are appropriate for analyses restricted to individual states. Region weights are appropriate for analyses of all eight states combined. If other combinations of states are required, then additional weights should be calculated. Since no one source provided all the weighting data required, two data sources were consulted in the calculation of the weights. Data on household size were taken from the 2000 United States Census (table available in Summary File 1 at Data on age and sex were obtained from the Census Bureau's Population Estimates Program's 2002 population estimates (available at

State-level weights (variable name WTSTATE) were calculated by multiplying the individual weight variables:

WTSTATE: Age Weight x Sex Weight x Household Size Weight.

To account for the difference in state population sizes and each state's proportional contribution to the regional population, an additional weight was added to the region-level weighting equation (variable name WTREGION). This weight captured the percentage of the regional population that resides in the respondent's state, and data from the Census Bureau's Population Estimates Program's 2002 population estimates were used in the development of this weight.

The region-level weights were calculated by multiplying the individual-level weight variables:

WTREGION: Weight x Sex Weight x Household Size Weight x State Population Weight.

For cases that were missing data on one or more of the weighting variables, partial weights were calculated for cases using the data that were available. Data for two of the three weighting variables were available for 25 of the 28 cases excluded by the first missing data strategy. For these cases, the available data were multiplied and substituted for the zero value used in the first missing data strategy. Of the three remaining cases, two had data for one of the three weighting variables. For these cases, the weight for that individual variable was substituted for the zero value used in the first missing data strategy. Finally, a single case did not have data for any of the weighting variables, and in this case the zero weight was preserved.


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