This 19th Orange County Annual Survey, UCI, continues to monitor social, economic and political trends. The Orange County Consumer Confidence Index now stands at 112, the highest score since the study began tracking this five-question measure in 1986, surpassing the U.S. index, which is at 109. The 2000 survey was conducted May 3-14, 2000, and includes random telephone interviews with 1,005 Orange County adults in English and Spanish.Online data analysis & additional documentation in Link below. Methods The 2000 Orange County Annual Survey was directed by Mark Baldassare, professor and Johnson Chair in Civic Governance at UCI, and Senior Fellow at the Public Policy Institute of California. Cheryl Katz, research associate, was co-director. The random telephone survey included interviews with 1,005 Orange County adult residents conducted May 3-14, 2000. We follow the methods used in the 18 previous surveys.Interviewing was conducted on weekend days and weekday nights, using a computer-generated random sample of telephone numbers. Within a household, adult respondents were randomly chosen for interview. Each interview and took an average of 20 minutes to complete. The interviewing was conducted in English and Spanish as needed. The completion rate was 67%. Telephone interviewing was conducted by Interviewing Services of America in Van Nuys, CA. The sample's demographic characteristics were comparable to data from the U.S. Census, California Department of Finance, and previous Orange County Annual Surveys.The sampling error for this survey is +/3% at the 95% confidence level. This means that 95 times out of 100, the results will be within 3 percentage points of what they would be if all adults in Orange County were interviewed. The sampling error for any subgroup would be larger. Sampling error is just one type of error to which surveys are subject. Results may also be affected by factors such as question wording, ordering, and survey timing.Throughout the report, we refer to two geographic regions. North refers to cities and communities north of the 55 Freeway, including Anaheim, Orange, Villa Park, La Habra, Brea, Buena Park, Fullerton, Placentia, Yorba Linda, La Palma, Cypress, Los Alamitos, Rossmoor, Seal Beach, Westminster, Midway City, Stanton, Fountain Valley, Huntington Beach, Santa Ana, Garden Grove, Tustin, Tustin Foothills and Costa Mesa. South refers to cities and communities south of the 55 Freeway, including Newport Beach, Irvine, Lake Forest, Newport Coast, Aliso Viejo, Laguna Hills, Laguna Niguel, Laguna Woods, Mission Viejo, Portola Hills, Rancho Santa Margarita, Foothill Ranch, Coto de Caza, Trabuco, Laguna Beach, Dana Point, San Clemente, Capistrano Beach and San Juan Capistrano. In the analysis of questions on the proposed El Toro airport, we include Newport Beach in the North County.Some of the questions in this survey are repeated from national surveys conducted by the University of Michigan in 2000, the Pew Research Center in 1999, the Wall Street Journal and NBC News in 1999, CBS News in 1999, Fox News in 2000, and the Gallup Organization in 1999. Questions with California comparisons are repeated from the Public Policy Institute of California's Statewide Surveys in 2000, directed by Mark Baldassare.

Abstract

The main impetus for CRUMP rests upon the extraordinarily rapid migration now occurring from rural areas of Cambodia to the city of Phnom Penh and the need for policy-makers to understand the social aspects of this migration. With this in mind, the Ministry of Planning of the country of Cambodia, UNFPA and a foreign expert consultant from the University of California, San Francisco, came together to plan the project. Thus, CRUMP involves contributions from government, non-government and university entities. A group of individuals, which we call the CRUMP team, was brought together with representation from across these entities. The CRUMP team determined appropriate aims for the project and a plan and carry out the research and write this report. Methodological suggestions by individuals from the Ministry, UNFPA and from the foreign consultant were made, considered and discussed, and all three units are responsible for the final methodology.

Over the last two decades, migration to the city of Phnom Penh has been rapid. Cambodians have seen their capital grow by leaps and bounds every year. The growth accelerated in more recent years. We now boast a very vibrant and energetic capital city, with tremendous amenities. But, there is a need to carefully examine migrants coming into Phnom Penh to assure that their wellbeing is maintained as the city continues to develop. In addition, there is a need to carefully examine rural areas around the country from where migrants originate, and to investigate the impact of migration out of rural Cambodia to all other destinations. It is only through careful study that we will be able to prioritize programs and an overall strategy to meet the challenge of rapid migration.

The definition of migrant for this survey was an individual who was a regular household member that moved outside of the district of origin. This would include individuals that came back to the household of origin but moved away again and have been living away for at least three continuous months.

CRUMP involved an eighteen month undertaking, thorough planning and implementation, sophisticated analysis and careful writing. The work was conducted through a remarkable collaboration that involved the Ministry of Planning of the Royal Government of Cambodia, the UNFPA and Professor Zachary Zimmer from University of California, San Francisco, USA. An enormous effort took place to assure that the survey conducted for this project was of the high quality. The methodology and techniques that were applied to the CRUMP project are of the high quality and allow for us to drawn upon the data and results for follow-up study of migration.

Geographic coverage

Rural and Urban

Analysis unit

Individual and household

Universe

The population for the Phnom Penh survey would include individuals that have permanently moved to the city of Phnom Penh from another province.

The population for the rural household survey would include both households that have and have not experienced the recent migration of a household member.

Kind of data

Sample survey data [ssd]

Sampling procedure

(1) The rural household component took place in 375 villages with 1,500 surveys of households designated as non-migrant and 3,000 surveys of households designated as migrant. (2) The rural village component consisting of surveys of the 375 village chiefs from the villages selected for the rural household component. (3) The Phnom Penh component consisting of 1,000 surveys of recent migrants living in urban Phnom Penh.

The latest sampling frame is from the general population census of Cambodia, 2008 conducted by the National Institute of Statistics (NIS). It was employed for this survey. This frame consists of province codes and names, district codes and names, commune codes and names, village codes and names and a national map showing boundaries between the villages as well as total number of households within villages. All villages are classified as belonging to the urban or rural sector based on the new 'Reclassification of Urban and Rural Areas in Cambodia'. The coverage of the survey entailed rural areas in 23 provinces and the urban area of Phnom Penh. The coverage percentage for each component compared to the sampling frame is about 0.2% for the combination of non-migrant and migrant households in rural areas, about 3.0% for villages and village chiefs, and about 0.6% for urban Phnom Penh migrants.

For details please refer to Section 2.2, page 14, of the study report.

Mode of data collection

Face-to-face [f2f]

Research instrument

Among other things, the questionnaire for this survey would be used to determine the motivations for migration, the impact of migration on the sending household, as well as the destination of migrants and differences in destination on migration experiences, remittances and other aspects of migration. The questionnaire for the migrant and non-migrant households would be identical except for the absence of questions about the migrant and migration experience in the case of the latter.

The village chief survey would be used to get a broader look at migration and its impacts at a level beyond the individual or household. The village chiefs would come from the same villages that were sampled for the rural household survey. This survey would ask questions about number of migrants coming and going from the village, the overall impact of migration on the village according to an informed person, as well as gather information about the village itself so that issues such as impact of village amenities or distance to highways or provincial capitals on the tendency to migrate could be examined.

Questionnaires were developed through a collaboration effort across the research team. Many questionnaire items were borrowed from surveys conducted elsewhere in the world, in addition to surveys conducted in Cambodia, such as the Cambodian Socio-economic Surveys and the 2004 Survey of the Elderly in Cambodia (Knodel, Kim, Zimmer, & Puch, 2005). Items were discussed and altered to suit the Cambodian context and purpose of CRUMP.

Cleaning operations

Data entry and cleaning took place in October and November of 2011. Data editing, coding and cleaning involved the work of two supervisors and 32 data entry operators. Data processing used the Census and Survey Processing System (CSPro) for developing data entry and data cleaning programs. CSPro is a software package for entering, editing, tabulating, and disseminating data from censuses and surveys. CSPro combines the features of the Integrated Microcomputer Processing System (IMPS) and the Integrated System for Survey Analysis (ISSA).

Sampling error estimates

Not available

This eighteenth Orange County Annual Survey, UCI, continues to monitor social, economic and political trends. The Orange County Consumer Confidence Index now stands at 111, which is the highest score since the survey began tracking this five-question measure in 1986. The Orange County score surpasses the U.S. index, which is at 105. The 1999 survey is conducted September 1-13, and includes random telephone interviews with 1,000 Orange County adults in English and Spanish.Online data analysis & additional documentation in Link below. Methods The 1999 Orange County Annual Survey was directed by Mark Baldassare, professor and Roger W. and Janice M. Johnson Chair in Civic Governance and Public Management at UCI, and Senior Fellow at the Public Policy Institute of California. Cheryl Katz, research associate, was co-director. The random telephone survey included interviews with 1,000 Orange County adult residents conducted September 1 to September 13, 1999. We follow the methods used in the 17 previous surveys. Interviewing was conducted on weekend days and weekday nights, using a computer-generated random sample of telephone numbers. Within a household, adult respondents were randomly chosen for interview. Each interview took an average of 20 minutes to complete. The interviewing was conducted in English and Spanish as needed. The completion rate was 65%. Telephone interviewing was conducted by Interviewing Services of America in Van Nuys, CA. The sample's demographic characteristics were comparable to data from the U.S. Census, California Department of Finance, and previous Orange County Annual Surveys.The sampling error for this survey is +/3% at the 95% confidence level. This means that 95 times out of 100, the results will be within 3 percentage points of what they would be if all adults in Orange County were interviewed. The sampling error for any subgroup would be larger. Sampling error is just one type of error to which surveys are subject. Results may also be affected by factors such as question wording, ordering, and survey timing.Throughout the report, we refer to two geographic regions. North refers to cities and communities north of the 55 Freeway, including Anaheim, Orange, Villa Park, La Habra, Brea, Buena Park, Fullerton, Placentia, Yorba Linda, La Palma, Cypress, Los Alamitos, Rossmoor, Seal Beach, Westminster, Midway City, Stanton, Fountain Valley, Huntington Beach, Santa Ana, Garden Grove, Tustin, Tustin Foothills and Costa Mesa. South refers to cities and communities south of the 55 Freeway, including Newport Beach, Irvine, Lake Forest, Newport Coast, Aliso Viejo, Laguna Hills, Laguna Niguel, Laguna Woods, Mission Viejo, Portola Hills, Rancho Santa Margarita, Foothill Ranch, Coto de Caza, Trabuco, Laguna Beach, Dana Point, San Clemente, Capistrano Beach and San Juan Capistrano. In the analysis of questions on the proposed El Toro airport, we include Newport Beach in the North County. Some of the questions in this survey are repeated from national surveys conducted by the University of Michigan, the Pew Research Center and the American Association of Retired Persons. Questions with state comparisons are repeated from the Public Policy Institute of California's Statewide Surveys, directed by Mark Baldassare.