Social Weather Stations Survey [Philippines]: Quarter III, 2003 (ICPSR 34616)

Published: Jul 9, 2014

Principal Investigator(s):
Mahar Mangahas, Social Weather Stations; Vladymir Joseph Licudine, Social Weather Stations; Linda Luz Guerrero, Social Weather Stations


Version V2

Social Weather Stations Surveys are SWS-initiated national surveys of the general Filipino public. Dating from 1986, initially semi-annual, and quarterly since 1992, these surveys are meant to supplement, not duplicate, existing government statistics. They include both core indicators monitored regularly and items on contemporary issues. A standard Social Weather Survey has two questionnaires, one for the household head and one for a random adult. The Third Quarter 2003 Social Weather Survey was fielded August 30 to September 14, 2003, throughout the country. It used face-to-face interviews of 1,200 respondents divided into random samples of 300 each in Metro Manila, Balance Luzon, Visayas, and Mindanao. Adults, aged 18 years and older, were asked their views on issues concerning the general topics of economics, governance, politics, diplomacy, and society, as well as issues of current public interest in the Philippines. The survey also gathers information from household heads about the members of the household and household characteristics. Demographic variables include sex, age, religion, education, marital status, household composition, language use, and occupation.

Mangahas, Mahar, Licudine, Vladymir Joseph, and Guerrero, Linda Luz. Social Weather Stations Survey [Philippines]: Quarter III, 2003. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2014-07-09.

Export Citation:

  • RIS (generic format for RefWorks, EndNote, etc.)
  • EndNote

Major Philippine geographical areas (National Capital Region, Luzon, Visayas, and Mindanao)

2003 (Third Quarter)

Please refer to the Social Weather Stations Web site for more information about the Social Weather Surveys.

For information on the study design, please refer to Original P.I. Documentation section of the ICPSR Codebook.

Multi-stage probability sampling was used in the selection of sample spots. For additional information on sampling, please refer to the Original P.I. Documentation section of the ICPSR Codebook.


Adult Filipinos aged 18 and older and households in the Philippines.



survey data

face-to-face interview

61 percent



2014-07-09 Variable names, variable labels and value labels have been updated for dataset 3. The documentation has also been updated for this collection.

2013-05-24 ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection:

  • Checked for undocumented or out-of-range codes.

The data are not weighted. To yield representative figures at the national level users should apply census-based population weights to the survey data prior to analysis. The weight projection is computed by dividing the projected population in the area by the sample size of the same area. Appropriate projected factors were applied so that original population proportions were reflected in the data tables using this formula. Population Projection factors (Weight)= Population/No. of Interviews. Three weights were used in this collection. The household head data weight used was WGTHH. The household members data weight used was WGTHM. The probability respondent data weight used was WGT. Please refer to the Original P.I. Documentation in the ICPSR Codebook for additional information on weighting.


  • Data in this collection are available only to users at ICPSR member institutions.

ICPSR logo

This study is provided by ICPSR. ICPSR provides leadership and training in data access, curation, and methods of analysis for a diverse and expanding social science research community.