A database based on a random sample of the noninstitutionalized population of the United States, developed for the purpose of studying the effects of demographic and socio-economic characteristics on differentials in mortality rates. It consists of data from 26 U.S. Current Population Surveys (CPS) cohorts, annual Social and Economic Supplements, and the 1980 Census cohort, combined with death certificate information to identify mortality status and cause of death covering the time interval, 1979 to 1998. The Current Population Surveys are March Supplements selected from the time period from March 1973 to March 1998. The NLMS routinely links geographical and demographic information from Census Bureau surveys and censuses to the NLMS database, and other available sources upon request. The Census Bureau and CMS have approved the linkage protocol and data acquisition is currently underway. The plan for the NLMS is to link information on mortality to the NLMS every two years from 1998 through 2006 with research on the resulting database to continue, at least, through 2009. The NLMS will continue to incorporate data from the yearly Annual Social and Economic Supplement into the study as the data become available. Based on the expected size of the Annual Social and Economic Supplements to be conducted, the expected number of deaths to be added to the NLMS through the updating process will increase the mortality content of the study to nearly 500,000 cases out of a total number of approximately 3.3 million records. This effort would also include expanding the NLMS population base by incorporating new March Supplement Current Population Survey data into the study as they become available. Linkages to the SEER and CMS datasets are also available. Data Availability: Due to the confidential nature of the data used in the NLMS, the public use dataset consists of a reduced number of CPS cohorts with a fixed follow-up period of five years. NIA does not make the data available directly. Research access to the entire NLMS database can be obtained through the NIA program contact listed. Interested investigators should email the NIA contact and send in a one page prospectus of the proposed project. NIA will approve projects based on their relevance to NIA/BSR''s areas of emphasis. Approved projects are then assigned to NLMS statisticians at the Census Bureau who work directly with the researcher to interface with the database. A modified version of the public use data files is available also through the Census restricted Data Centers. However, since the database is quite complex, many investigators have found that the most efficient way to access it is through the Census programmers. * Dates of Study: 1973-2009 * Study Features: Longitudinal * Sample Size: ~3.3 Million Link: *ICPSR: http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/00134

Key Table Information.Table Title.Island Areas: Comparative Statistics by Manufacturing Industry for Puerto Rico: 2022 and 2017.Table ID.ISLANDAREASIND2022.IA2200IND12.Survey/Program.Economic Census of Island Areas.Year.2022.Dataset.ECNIA Economic Census of Island Areas.Source.U.S. Census Bureau, 2022 Economic Census of Island Areas, Core Statistics.Release Date.2024-12-19.Release Schedule.The Economic Census occurs every five years, in years ending in 2 and 7.2022 Economic Census of Island Areas tables are released on a flow basis from June through December 2024.For more information about economic census planned data product releases, see 2022 Economic Census Release Schedule..Dataset Universe. The dataset universe consists of all establishments that are in operation for at least some part of 2022, are located in Puerto Rico, have paid employees, and are classified in one of eighteen in-scope sectors defined by the 2022 NAICS..Sponsor.U.S. Department of Commerce.Methodology.Data Items and Other Identifying Records.Number of establishmentsAnnual payroll ($1,000)Number of employeesNumber of production workers, average for yearProduction workers hoursProduction workers wages ($1,000)Value added ($1,000)Total cost of supplies and/or materials ($1,000)Sales, value of shipments, or revenue ($1,000)Range indicating imputed percentage of total annual payrollRange indicating imputed percentage of total employeesRange indicating imputed percentage of total sales, value of shipments, or revenueDefinitions can be found by clicking on the column header in the table or by accessing the Economic Census Glossary..Unit(s) of Observation.The reporting units for the Economic Census of Island Areas are employer establishments. An establishment is generally a single physical location where business is conducted or where services or industrial operations are performed..Geography Coverage.The data are shown for employer establishments and firms that vary by industry:At the Territory level for Puerto RicoFor information about economic census geographies, including changes for 2022, see Economic Census: Economic Geographies..Industry Coverage.The data are shown for Puerto Rico at the 2- through 3-digit 2022 NAICS code levels for the manufacturing industry.For information about NAICS, see Economic Census Code Lists..Sampling.The Economic Census of Island Areas is a complete enumeration of establishments located in the islands (i.e., all establishments on the sampling frame are included in the sample). Therefore, the accuracy of tabulations is not affected by sampling error..Confidentiality.The Census Bureau has reviewed this data product to ensure appropriate access, use, and disclosure avoidance protection of the confidential source data (Project No. 7504609, Disclosure Review Board (DRB) approval number: CBDRB-FY24-0044).The primary method of disclosure avoidance protection is noise infusion. Under this method, the quantitative data values such as sales or payroll for each establishment are perturbed prior to tabulation by applying a random noise multiplier (i.e., factor). Each establishment is assigned a single noise factor, which is applied to all its quantitative data value. Using this method, most published cell totals are perturbed by at most a few percentage points.To comply with disclosure avoidance guidelines, data rows with fewer than three contributing establishments are not presented. For more information on disclosure avoidance, see Methodology for the 2022 Economic Census- Island Areas..Technical Documentation/Methodology.For detailed information about the methods used to collect data and produce statistics, see Methodology for the 2022 Economic Census- Island Areas.For more information about survey questionnaires, Primary Business Activity/NAICS codes, and NAPCS codes, see Economic Census Technical Documentation..Weights.Because the Economic Census of Island Areas is a complete enumeration, there is no sample weighting..Table Information.FTP Download.https://www2.census.gov/programs-surveys/economic-census/data/2022/sector00.API Information.Economic census data are housed in the Census Bureau Application Programming Interface (API)..Symbols.D - Withheld to avoid disclosing data for individual companies; data are included in higher level totalsN - Not available or not comparableS - Estimate does not meet publication standards because of high sampling variability, poor response quality, or other concerns about the estimate quality. Unpublished estimates derived from this table by subtraction are subject to these same limitations and should not be attributed to the U.S. Census Bureau. For a description of publication standards and the total quantity response rate, see link to program methodology page.X - Not applicableA - Relative standard error of 100% or morer - Reviseds - Relative standard error exceeds 40%For a complete list of symbols, see Economic Census Data Dictionary..Data-Specific Notes.Data users who crea...

This collection contains data on approximately 16,000 governmental units (excluding dependent school districts), sampled by the 1973 and 1974 Annual Survey of Governments. These types of governments are State, county, municipalities, townships, school districts (only as independent units of government), and special districts. The samples utilize the 1970 census populations as a base. The samples are recorded for all counties with a population over 50,000, and all cities having 25,000 inhabitants or more. A random selection of the remaining units was made from a compilation of all local governments within an Standard Metropolitan Statistical Area (SMSA) or balance of State, further grouped by type of unit and magnitude of expenditure. Employment information is for all paid governmental employees and officials.

Please Note: This dataset is part of the historical CISER Data Archive Collection and is also available at ICPSR at https://doi.org/10.3886/ICPSR07391.v1. We highly recommend using the ICPSR version as they may make this dataset available in multiple data formats in the future.

This fourteenth Orange County Annual Survey, UCI, spotlights several top concerns of Orange County residents. This year's survey focuses on the Orange County financial crisis that began last December when the county government declared bankruptcy. It seeks to determine how the financial crisis has affected attitudes about the local economy and quality of life. The sample size is 1,001 Orange County adult residents.Online data analysis & additional documentation in Link below. Methods The Orange County Annual Survey, UCI, was co-directed by Mark Baldassare, professor and chair of urban and regional planning, and Cheryl Katz, research associate. The random telephone survey included interviews with 1,001 Orange County adult residents conducted August 18 to 27, 1995. We follow the methodology used in the 13 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 included 94 questions and took an average of 20 minutes to complete. The interviewing was conducted in English and Spanish, as needed. The completion rate for the survey was 74 percent. This rate is consistent with earlier Orange County Annual Surveys. Of the telephone numbers called, 20 percent resulted in completed interviews and 7 percent were refusals. The field work was conducted by Interviewing Services of America in Van Nuys, CA. The sample was compared to the U.S. Census and state figures by city for Orange County, and was found to represent the actual regional distribution of Orange County residents. The sample's demographic characteristics were also closely comparable to the Census and other survey data for Orange County residents. The sampling error for this survey is +/3 percent at the 95 percent 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 question wording, ordering, and survey timing.

Abstract

The Labour Force Survey (LFS) is a study of the employment circumstances of the UK population. It is the largest household study in the UK and provides the official measures of employment and unemployment.The first Labour Force Survey (LFS) in the United Kingdom was conducted in 1973, under the terms of a Regulation derived from the Treaty of Rome. The provision of information for the Statistical Office of the European Communities (SOEC) continued to be one of the reasons for carrying out the survey on an annual basis. SOEC co-ordinated information from labour force surveys in the member states in order to assist the EC in such matters as the allocation of the Social Fund. The survey was carried out biennially from 1973 to 1983 and was increasingly used by UK government departments to obtain information which would assist in the framing of social and economic policy. By 1983 it was being used by the Employment Department (now the Department for Work and Pensions) to obtain information which was not available from other sources or was only available for Census years. From 1984 the survey was carried out annually, and since that time the LFS has consisted of two elements:

• a quarterly survey conducted in Great Britain throughout the year, in which each sampled address was called on five times at quarterly intervals, and which yielded about 15,000 responding households in every quarter;
• a 'boost' survey in the spring quarter (March-May), which produced interviews at over 44,000 households in Great Britain and over 4,000 households in Northern Ireland.

Users should note that only the data from the spring quarter and the 'boost' survey were included in the annual datasets for public release, and that only data from 1975-1991 are available from the UK Data Archive. The depositor recommends only considered use of data for 1975 and 1977 (SNs 1757 and 1758), as the concepts behind the definitions of economic activity changed and are not comparable with later years. Also the survey methodology was being developed at the time and so the estimates may not be reliable enough to use.

During 1991 the survey was developed, so that from spring 1992 the data were made available quarterly, with a quarterly sample size approximately equivalent to that of the previous annual data. The Quarterly Labour Force Survey series therefore superseded the annual LFS series, and is held at the Data Archive under GN 33246.

The study is being conducted by the Office for National Statistics (ONS), the government's largest producer of statistics. They compile independent information about the UK's society and economy which provides evidence for policy and decision making, and for directing resources to where they are needed most. The ten-yearly census, measures of inflation, the National Accounts, and population and migration statistics are some of our highest-profile outputs.

Geographic coverage

The whole country.

Analysis unit

• Individuals
• Families/households

Universe

• Households
• All persons normally resident in private households in the United Kingdom

Kind of data

Sample survey data [ssd]

Sampling procedure

Stratified multi-stage sample; for further details see annual reports. Until 1983 two sampling frames were used; in England, Northern Ireland and Wales, the Valuation Roll provided the basis for a sample which, in England and Wales, included all 69 metropolitan districts, and a two-stage selection from among the remaining non-metropolitan districts. In Northern Ireland wards were the primary sampling units. In Scotland, the Address File (i.e. post codes) was used as the basis for a stratified sample.From 1983 the Postoffice Address File has been used instead of the Valuation Roll in England and Wales. In 1984 sample rotation was introduced along with a panel element, the quarterly survey, which uses a two-stage clustered sample design.

The sample comprises about 90,000 addresses drawn at random from the rating lists in 190 different areas of England and Wales With such a large sample, it Will happen by chance that a small number of addresses which were selected at random for the 1979 survey Will come up again In addition 2,000 addresses in 8 of the areas selected in 1979 have been deliberately re-selected again this time (me Interviewers who get these addresses In their work w,ll receive a special letter to take with them.)

The sample is drawn from the "small users" sub-file of the Postcode Address File (PAF), which is a list of all addresses (delivery points) to which mail is delivered, prepared by the Post OffIce and held on computer. "Small users" are delivery points that receive less than 25 afiicles of mail a day and include all but a small proportion of private households. The PAF is updated regularly by the Post Office but, as mentioned in Chapter 1, there was an interruption in the supply of updates in the period leading up to the 1988 msurvey. As a result one third of the sample was drawn from the PAF as at March 1986 and two thirds from the sample as at September 1986. Although the PAF includes newly built properties ahead of their actual occupation, the 1988 sample does seem to have been light in the most recently built properties. The 1991 sample was drawn from the PAF as at May 1990 and should include most newly built houses.

Sample sizes and response rates Numbers of households who answered the questions in the Housing. Trailer were 37,175 in 1991. The corresponding response rates were 81.9 percent. Response rates were highest in East Anglia with nearly 87 percent in 1991, lowest in Inner London with only 66 percent in 1991.

Sampling deviation

One of the limitations of the LFS is that the sample design provides no guarantee of adequate coverage of any industry, as the survey is not industrially stratified. The LFS coverage also omits communal establishments, except NHS housing, students in halls of residence and at boarding schools. Members of the armed forces are only included if they live in private accommodation. Also, workers under 16 are not covered. As in previous years, the sample for the boost survey was drawn in a single stage in the most densely populated areas, in two stages elsewhere. The areas where the sample was drawn in a single stage were:

(I) local authority districts in the metropolitan counties and Greater London; (II) districts which, based on the 1981 Census.

Mode of data collection

Face-to-face [f2f]

Research instrument

All questions in the specification are laid out using the same format. Some questions (for instance USUWRKM) have a main group routed to them, but subsets of this group are asked variations of the question. In such cases the main routing is at the foot of the question as usual, and the subsets are listed separately above it, with the individual aspect of the routing indented slightly from the left of the page.

Cleaning operations

Information Technology Centres provides one-year training and practical work experience course in the use of computers and word processors and other aspects of information technology (eg teletex, editing, computer maintenance).

Response rate

The response rate achieved averaged between 79 percent. The method of calculating response rates is the following: The response rate indicates how many interviews were achieved as a proportion of those eligible for the survey. The formula used is as follows: RR = (FR + PR)/(FR + PR + OR + CR + RHQ + NC + RRI*) where RR = response rate, FR = full response, PR = partial response, OR = outright refusal, CR = circumstantial refusal, RHQ = refusal to HQ, NC = non contact, RRI = refusal to re-interview, *applies to waves two to five only.

Sampling error estimates

As with any sample survey, the results of the Labour Force Survey are subject to sampling errors. In addition, the results of any sample survey are affected by non-sampling errors, i.e. the whole variety of errors other then those due to sampling.

Data appraisal

Day of birth and date of birth variables have been removed from the annual LFS datasets, in the same way that they have been removed from the quarterly LFS datasets from 1992 onwards, as this information is now considered to be disclosive. The variable AGEDFE (age at proceeding 31 August) has been added to all annual datasets.

This collection contains data taken from a survey of all State governments, all school district governments (except for those in Wisconsin and for approximately 75% of Pennsylvania), and a sample of approximately 14,000 other local governmental units taken from the 1977 Census of Governments. Using 1975 population eastimates as a base, the sample includes all county governments in counties having 50,000 or more population and all municipalities having 25,000 or more population. A random selection of the remaining units was made from a compilation of all local governments within selected large standard metropolitan areas (SMSAs), other major counties, and the balance of the State. Finance data on revenue, expenditure, indebtedness and debt transactions, and cash and security holdings are provided for States and local governments. Revenue data are provided by source; expenditures are shown by function such as education, highways, and public welfare, and also by type including intergovernmental, current operation, and capital outlay. In addition, the financial statistics of employee-retirement systems and of utilities operated by State and local governments are shown.

Please Note: This dataset is part of the historical CISER Data Archive Collection and is also available at ICPSR at https://doi.org/10.3886/ICPSR08329.v1. We highly recommend using the ICPSR version as they may make this dataset available in multiple data formats in the future.

These data are being released in BETA version to facilitate early access to the study for research purposes. This collection has not been fully processed by NACDA or ICPSR at this time; the original materials provided by the principal investigator were minimally processed and converted to other file types for ease of use. As the study is further processed and given enhanced features by ICPSR, users will be able to access the updated versions of the study. Please report any data errors or problems to user support and we will work with you to resolve any data related issues. The National Health Interview Survey (NHIS) is conducted annually and sponsored by the National Center for Health Statistics (NCHS), which is part of the U.S. Public Health Service. The purpose of the NHIS is to obtain information about the amount and distribution of illness, its effects in terms of disability and chronic impairments, and the kinds of health services people receive across the United States population through the collection and analysis of data on a broad range of health topics. The redesigned NHIS questionnaire introduced in 1997 (see National Health Interview Survey, 1997 [ICPSR 2954]) consists of a core that remains largely unchanged from year to year, plus an assortment of supplements varying from year to year. The 2010 NHIS Core consists of three modules: Family, Sample Adult, and Sample Child. The datasets derived from these modules include Household Level, Family Level, Person Level, Injury/Poison Episode Level, Injury/Poison Verbatim Level, Sample Adult Level, and Sample Child level. The 2010 NHIS supplements consist of stand alone datasets for Cancer Level and Quality of Life data derived from the Sample Adult core and Disability Questions Tests 2010 Level derived from the Family core questionnaire. Additional supplementary questions can be found in the Sample Child dataset on the topics of cancer, immunization, mental health, and mental health services and in the Sample Adult dataset on the topics of epilepsy, immunization, and occupational health. Part 1, Household Level, contains data on type of living quarters, number of families in the household responding and not responding, and the month and year of the interview for each sampling unit. Parts 2-5 are based on the Family Core questionnaire. Part 2, Family Level, provides information on all family members with respect to family size, family structure, health status, limitation of daily activities, cognitive impairment, health conditions, doctor visits, hospital stays, health care access and utilization, employment, income, participation in government assistance programs, and basic demographic information. Part 3, Person Level, includes information on sex, age, race, marital status, education, family income, major activities, health status, health care costs, activity limits, and employment status. Parts 4 and 5, Injury/Poisoning Episode Level and Injury/Poisoning Verbatim Level, consist of questions about injuries and poisonings that resulted in medical consultations for any family members and contains information about the external cause and nature of the injury or poisoning episode and what the person was doing at the time of the injury or poisoning episode, in addition to the date and place of occurrence. A randomly-selected adult in each family was interviewed for Part 6, Sample Adult Level, regarding specific health issues, the relation between employment and health, health status, health care and doctor visits, limitation of daily activities, immunizations, and behaviors such as smoking, alcohol consumption, and physical activity. Demographic information, including occupation and industry, also was collected. The respondents to Part 6 also completed Part 7, Cancer Level, which consists of a set of supplemental questions about diet and nutrition, physical activity, tobacco, cancer screening, genetic testing, family history, and survivorship. Part 8, Sample Child Level, provides information from an adult in the household on medical conditions of one child in the household, such as developmental or intellectual disabilities, respiratory problems, seizures, allergies, and use of special equipment like hearing aids, braces, or wheelchairs. Parts 9 through 13 comprise the additional Supplements and Paradata for the 2010 NHIS. Part 9, Disability Questions Tests 2010 Level

Summary results from NYC Community Health Survey 2010-2016: adults ages 18 years and older Source: NYC Community Health Survey (CHS) 2010-16. The Community Health Survey (CHS) includes self-reported data from adults, years 18 and older. CHS has included adults with landline phones since 2002 and, starting in 2009, also has included adults who can be reached by cell-phone. Starting in 2011, CHS weighting methods were updated to use Census 2010 and additional demographic characteristics (http://www1.nyc.gov/assets/doh/downloads/pdf/epi/epiresearch-chsmethods.pdf ).

Data are age-adjusted to the US 2000 Standard Population.
Data prepared by Bureau of Epidemiology Services, New York City Department of Health and Mental Hygiene

The New York City Community Health Survey (CHS) is a telephone survey conducted annually by the DOHMH, Division of Epidemiology, Bureau of Epidemiology Services. CHS provides robust data on the health of New Yorkers, including neighborhood, borough, and citywide estimates on a broad range of chronic diseases and behavioral risk factors. The data are analyzed and disseminated to influence health program decisions, and increase the understanding of the relationship between health behavior and health status. For more information see EpiQuery, https://a816-healthpsi.nyc.gov/epiquery/CHS/CHSXIndex.html

"TARGET POPULATION The target population of the CHS includes non-institutionalized adults aged 18 and older who live in a household with a landline telephone in New York City (the five borough area). Starting in 2009, adults living in households with only cell phones have also been included in the survey.

HEALTH TOPICS Most years the CHS includes approximately 125 questions, covering the following health topics: general health status and mental health, health care access, cardiovascular health, diabetes, asthma, immunizations, nutrition and physical activity, smoking, HIV, sexual behavior, alcohol consumption, cancer screening and other health topics. A core group of demographics variables are included every year to facilitate weighting and comparisons among different groups of New Yorkers.

SAMPLING The CHS uses a stratified random sample to produce neighborhood and citywide estimates. Neighborhoods are defined using the United Hospital Fund's (UHF) neighborhood designation, which assigns neighborhood based on the ZIP code of the respondent. New ZIP codes have been added since the UHF's were originally defined. There are 42 UHF neighborhoods in NYC. However, to avoid small sample sizes for CHS estimates, UHF estimates are generally collapsed into 34 UHFs/groups.

Starting in 2009, a second sample consisting of cell-only households with New York City exchanges was added. This design is non-overlapping because in the cell-only sample, adults living in households with landline telephones were screened out.

A computer-assisted telephone interviewing (CATI) system is used to collect the survey data. The CHS sampling frame was constructed with a list of telephone numbers provided by a commercial vendor. Upon agreement to participate in the survey, one adult is randomly selected from the household to complete the interview.

Interviewing is conducted in a variety of languages. Every year, the questionnaire is translated from English into Spanish, Russian, and Chinese. Some years, live translation services are provided by Language Line (including Hindi, Arabic, Farsi, and Haitian Creole). Typically, data collection begins in March of the study year and ends in December. The average length of the survey is 25 minutes.

LIMITATIONS The survey sampling methodology does not capture the following groups: households without any telephone service and (prior to 2009) households that only have a cell phone. The CHS also excludes adults living in institutional group housing, such as college dormitories.

"

Abstract

In the past decades, Nigeria has experienced substantial gaps in producing adequate and timely data to inform policy making. In particular, the country is lagging behind in producing sufficient and accurate agricultural production statistics. The current set of household and farm surveys conducted by the NBS covers a wide range of sectors. Except for the Harmonized National Living Standard Survey (HNLSS) which covers multiple topics, these different sectors are usually covered in separate surveys none of which is conducted as a panel. As part of the efforts to continue to improve data collection and usability, the NBS has revised the content of the annual General household survey (GHS) and added a panel component. The GHS-Panel is conducted every 2 years covering multiple sectors with a focus to improve data from the agriculture sector.

The Nigeria General Hosehold Survey-Panel, is the result of a partnership that NBS has established with the Federal Ministry of Agriculture and Rural Development (FMARD), the National Food Reserve Agency (NFRA), the Bill and Melinda Gates Foundation (BMGF) and the World Bank (WB). Under this partnership, a method to collect agricultural and household data in such a way as to allow the study of agriculture's role in household welfare over time was developed. This GHS-Panel Survey responds to the needs of the country, given the dependence of a high percentage of households on agriculture activities in the country, for information on household agricultural activities along with other information on the households like human capital, other economic activities, access to services and resources. The ability to follow the same households over time, makes the GHS-Panel a new and powerful tool for studying and understanding the role of agriculture in household welfare over time as it allows analyses to be made of how households add to their human and physical capital, how education affects earnings and the role of government policies and programs on poverty, inter alia.

The objectives of the survey are as follows 1. Allowing welfare levels to be produced at the state level using small area estimation techniques resulting in state-level poverty figures 2. With the integration of the longitudinal panel survey with GHS, it will be possible to conduct a more comprehensive analysis of poverty indicators and socio-economic characteristics 3. Support the development and implementation of a Computer Assisted Personal Interview (CAPI) application for the paperless collection of GHS 4. Developing an innovative model for collecting agricultural data 5. Capacity building and developing sustainable systems for the production of accurate and timely information on agricultural households in Nigeria. 6. Active dissemination of agriculture statistics

The second wave consists of two visits to the household: the post-planting visit occurred directly after the planting season to collect information on preparation of plots, inputs used, labour used for planting and other issues related to the planting season. The post-harvest visit occurred after the harvest season and collected information on crops harvested, labour used for cultivating and harvest activities, and other issues related to the harvest cycle.

Geographic coverage

National Coverage

Analysis unit

Households

Universe

Agricultural farming household members.

Kind of data

Sample survey data [ssd]

Sampling procedure

The sample is designed to be representative at the national level as well as at the zonal (urban and rural) levels. The sample size of the GHS-Panel (unlike the full GHS) is not adequate for state-level estimates.

The sample is a two-stage probability sample:

First Stage: The Primary Sampling Units (PSUs) were the Enumeration Areas (EAs). These were selected based on probability proportional to size (PPS) of the total EAs in each state and FCT, Abuja and the total households listed in those EAs. A total of 500 EAs were selected using this method.

Second Stage: The second stage was the selection of households. Households were selected randomly using the systematic selection of ten (10) households per EA. This involved obtaining the total number of households listed in a particular EA, and then calculating a Sampling Interval (S.I) by dividing the total households listed by ten (10). The next step was to generate a random start 'r' from the table of random numbers which stands as the 1st selection. Consecutive selection of households was obtained by adding the sampling interval to the random start.

Determination of the sample size at the household level was based on the experience gained from previous rounds of the GHS, in which 10 households per EA are usually selected and give robust estimates.

In all, 500 clusters/EAs were canvassed and 5,000 households were interviewed. These samples were proportionally selected in the states such that different states had different samples sizes depending on the total number of EAs in each state.

Households were not selected using replacement. Thus the final number of household interviewed was slightly less than the 5,000 eligible for interviewing. The final number of households interviewed was 4,986 for a non-response rate of 0.3 percent. A total of 27,533 household members were interviewed. In the second, or Post-Harvest Visit, some household had moved as had individuals, thus the final number of households with data in both points of time (post planting and post harvest) is 4,851, with 27,993 household members.

Mode of data collection

Face-to-face paper [f2f]

Cleaning operations

Data Entry This survey used a concurrent data entry approach. In this method, the fieldwork and data entry were handled by each team assigned to the state. Each team consisted of a field supervisor, 2-4 interviewers and a data entry operator. Immediately after the data were collected in the field by the interviewers, the questionnaires were handed over to the supervisor to be checked and documented. At the end of each day of fieldwork, the questionnaires were then passed to the data entry operator for entry. After the questionnaires were entered, the data entry operator generated an error report which reported issues including out of range values and inconsistencies in the data. The supervisor then checked the report, determined what should be corrected, and decided if the field team needed to revisit the household to obtain additional information. The benefits of this method are that it allows one to: - Capture errors that might have been overlooked by a visual inspection only, - Identify errors early during the field work so that if any correction required a revisit to the household, it could be done while the team was still in the EA

The CSPro software was used to design the specialized data entry program that was used for the data entry of the questionnaires.

The data cleaning process was done in a number of stages. The first step was to ensure proper quality control during the fieldwork. This was achieved in part by using the concurrent data entry system which was, as explained above, designed to highlight many of the errors that occurred during the fieldwork. Errors that are caught at the fieldwork stage are corrected based on re-visits to the household on the instruction of the supervisor. The data that had gone through this first stage of cleaning was then sent from the state to the head office of NBS where a second stage of data cleaning was undertaken.

During the second stage the data were examined for out of range values and outliers. The data were also examined for missing information for required variables, sections, questionnaires and EAs. Any problems found were then reported back to the state where the correction was then made. This was an ongoing process until all data were delivered to the head office.

After all the data were received by the head office, there was an overall review of the data to identify outliers and other errors on the complete set of data. Where problems were identified, this was reported to the state. There the questionnaires were checked and where necessary the relevant households were revisited and a report sent back to the head office with the corrections.

The final stage of the cleaning process was to ensure that the household- and individual-level data sets were correctly merged across all sections of the household questionnaire. Special care was taken to see that the households included in the data matched with the selected sample and where there were differences these were properly assessed and documented. The agriculture data were also checked to ensure that the plots identified in the main sections merged with the plot information identified in the other sections. This was also done for crop- by-plot information as well.

Response rate

The response rate was very high. Response rate after field work was calculated to be 93.9% while attrition rate was 6.1% for households. During the tracking period, 52.4% of the attrition was tracked while at the end of the whole exercise, the response rate was: Post Harvest: 97.1%

Sampling error estimates

No sampling error

This thirteenth Orange County Annual Survey, UCI, spotlights several top concerns of Orange County residents, most notably: crime and the economy. In addition, the survey continues to track topics from previous years. The 1994 survey was conducted August 19 to 29 and included interviews with 1,000 adults.Online data analysis & additional documentation in Link below. Methods The Orange County Annual Survey, UCI was co-directed by Mark Baldassare, professor and chair of urban and regional planning, and Cheryl Katz, research associate. The random telephone survey included interviews with 1,000 Orange County adult residents conducted August 19 to 29, 1994. 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 included 94 questions and took an average of 20 minutes to complete. The interviewing was conducted in English and Spanish, as needed.The completion rate for the survey was 61 percent. This rate is consistent with earlier Orange County Annual Surveys. Of the telephone numbers called, 20 percent resulted in completed interviews and 13 percent were refusals. The field work was conducted by Interviewing Services of America of Van Nuys, CA.The sample was compared to the 1990 U.S. Census population figures by city for Orange County and was found to represent the actual regional distribution of Orange County residents. The sample's demographic characteristics were also closely comparable to the Census and other data available on Orange County residents.The sampling error for this survey is +/3 percent at the 95 percent 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 question wording, ordering, and survey timing.

Abstract

This research was conducted in Chile between May 2010 and April 2011 as part of the Latin America and Caribbean (LAC) Enterprise Survey 2010, an initiative of the World Bank. Data from 1033 establishments was analyzed.

The objective of the study is to obtain feedback from enterprises in client countries on the state of the private sector as well as to help in building a panel of enterprise data that will make it possible to track changes in the business environment over time, thus allowing, for example, impact assessments of reforms. Through face-to-face interviews with firms in the manufacturing and services sectors, the survey assesses the constraints to private sector growth and creates statistically significant business environment indicators that are comparable across countries.

The standard Enterprise Survey topics include firm characteristics, gender participation, access to finance, annual sales, costs of inputs/labor, workforce composition, bribery, licensing, infrastructure, trade, crime, competition, capacity utilization, land and permits, taxation, informality, business-government relations, innovation and technology, and performance measures. Over 90% of the questions objectively ascertain characteristics of a country’s business environment. The remaining questions assess the survey respondents’ opinions on what are the obstacles to firm growth and performance.

Geographic coverage

National

Analysis unit

The primary sampling unit of the study is the establishment. An establishment is a physical location where business is carried out and where industrial operations take place or services are provided. A firm may be composed of one or more establishments. For example, a brewery may have several bottling plants and several establishments for distribution. For the purposes of this survey an establishment must make its own financial decisions and have its own financial statements separate from those of the firm. An establishment must also have its own management and control over its payroll.

Universe

The whole population, or the universe, covered in the Enterprise Surveys is the non-agricultural economy. It comprises: all manufacturing sectors according to the ISIC Revision 3.1 group classification (group D), construction sector (group F), services sector (groups G and H), and transport, storage, and communications sector (group I). Note that this population definition excludes the following sectors: financial intermediation (group J), real estate and renting activities (group K, except sub-sector 72, IT, which was added to the population under study), and all public or utilities sectors.

Kind of data

Sample survey data [ssd]

Sampling procedure

The study was conducted using stratified random sampling. Three levels of stratification were used in the sample: firm sector, firm size, and geographic region.

Industry stratification was designed in the way that follows: the universe was stratified into 5 manufacturing industries, 1 service industry -retail -, and 1 residual sector - other services. The four identified manufacturing sectors each had targets of 160 interviews, with other manufacturing having a target of 120 interviews. Both retail and other services had targets of 120 interviews each.

Size stratification was defined following the standardized definition for the Enterprise Surveys: small (5 to 19 employees), medium (20 to 99 employees), and large (more than 99 employees). For stratification purposes, the number of employees was defined on the basis of reported permanent full-time workers. This seems to be an appropriate definition of the labor force since seasonal/casual/part-time employment is not a common practice, except in the sectors of construction and agriculture.

Regional stratification was defined in four locations (city and the surrounding business area): Antofagasta, Los Lagos, Santiago and Valparaíso.

For Chile, two sample frames were used. The first was supplied by the World Bank and consists of enterprises interviewed in Chile 2006. The World Bank required that attempts should be made to re-interview establishments responding to the Chile 2006 survey where they were within the selected geographical locations and met eligibility criteria. That sample is referred to as the Panel. The second sample frame was build using a census of Chilean companies conducted by the Chile National Institute of Statistics (INE) in 2007 for firms in services, and the Annual National Industry Survey 2007, Directory of Chilean companies, for firms in manufacturing.

The quality of the frame was assessed at the onset of the project through visits to a random subset of firms and local contractor knowledge. The sample frame was not immune from the typical problems found in establishment surveys: positive rates of non-eligibility, repetition, non-existent units, etc. In addition, the sample frame contains no telephone/fax numbers so the local contractor had to screen the contacts by visiting them. Due to response rate and ineligibility issues, additional sample had to be extracted by the World Bank in order to obtain enough eligible contacts and meet the sample targets.

Given the impact that non-eligible units included in the sample universe may have on the results, adjustments may be needed when computing the appropriate weights for individual observations. The percentage of confirmed non-eligible units as a proportion of the total number of sampled establishments contacted for the survey was 14.42% (364 out of 2525 establishments).

Complete information regarding the sampling methodology, sample frame, weights, response rates, and implementation can be found in "Description of Chile Implementation" in "Technical documents" folder.

Mode of data collection

Face-to-face [f2f]

Research instrument

The current survey instruments are available: - Core Questionnaire + Manufacturing Module - Core Questionnaire + Retail Module - Core Questionnaire - Screener Questionnaire

The "Core Questionnaire" is the heart of the Enterprise Survey and contains the survey questions asked of all firms across the world. There are also two other survey instruments - the "Core Questionnaire + Manufacturing Module" and the "Core Questionnaire + Retail Module." The survey is fielded via three instruments in order to not ask questions that are irrelevant to specific types of firms, e.g. a question that relates to production and nonproduction workers should not be asked of a retail firm. In addition to questions that are asked across countries, all surveys are customized and contain country-specific questions. An example of customization would be including tourism-related questions that are asked in certain countries when tourism is an existing or potential sector of economic growth.

The standard Enterprise Survey topics include firm characteristics, gender participation, access to finance, annual sales, costs of inputs/labor, workforce composition, bribery, licensing, infrastructure, trade, crime, competition, capacity utilization, land and permits, taxation, informality, business-government relations, innovation and technology, and performance measures. The questionnaire also assesses the survey respondents' opinions on what are the obstacles to firm growth and performance.

Cleaning operations

Data entry and quality controls are implemented by the contractor and data is delivered to the World Bank in batches (typically 10%, 50% and 100%). These data deliveries are checked for logical consistency, out of range values, skip patterns, and duplicate entries. Problems are flagged by the World Bank and corrected by the implementing contractor through data checks, callbacks, and revisiting establishments.

Response rate

The number of realized interviews per contacted establishment was 0.41. This number is the result of two factors: explicit refusals to participate in the survey, as reflected by the rate of rejection (which includes rejections of the screener and the main survey) and the quality of the sample frame, as represented by the presence of ineligible units. The number of rejections per contact was 0.27.

Complete information regarding the sampling methodology, sample frame, weights, response rates, and implementation can be found in "Description of Chile Implementation" in "Technical documents" folder.

Abstract

The Employment and Unemployment surveys of National sample Survey (NSS) are primary sources of data on various indicators of labour force at National and State levels. These are used for planning, policy formulation, decision support and as input for further statistical exercises by various Government organizations, academicians, researchers and scholars. NSS surveys on employment and un-employment with large sample size of households have been conducted quinquennially from 27th. round(October'1972 - September'1973) onwards.Since then, the four successive quinquennial surveys conducted in 32nd, 38th, 43rd and 50th rounds have, more or less, followed an identical approach in the measurement of employment and unemployment. The basic approach in all these four quinquennial surveys have been the collection of data to generate the estimates of employment and unemployment according to the 'usual status' based on a reference period of one year, the 'current weekly status' based on a reference period of one week, and the 'current daily status' based on each day of the previous week. In order to reveal the multi-dimensional aspects of the employment-unemployment situation in India, information on several correlates were also gathered in these surveys. Sets of probing questions on some of these aspects have also been one of the basic features of these surveys.

A Working Group was set up for the purpose of finalising the survey methodology and schedules of enquiry of the 55th round. Considering all the aspects of current data demand and usefulness of the survey results, the Group has suggested a few improvisations, additions and deletions in the content of the schedule of enquiry for the present survey. The major changes made in the schedule for employment and unemployment survey vis-à-vis the previous quinquennial survey are given below:

a) Instead of recording the details for one subsidiary usual economic activity of all the members of the household, the details of two subsidiary usual economic activities pursued for relatively more time were be recorded.

b) Certain probing questions to identify the employment in the unincorporated enterprises (i.e., the proprietary and partnership enterprises other than those covered under Annual Survey of Industries (ASI)) will be asked to the workers according to usual principal as well as subsidiary statuses. This apart, information to identify 'homeworkers' were collected in this round.

c) In addition to the information on the changes undergone in industry and/or occupation of the usually employed persons during last 2 years, provisions were made to record changes in the status of work as well as the establishment of work during the same reference period. In all such cases where changes in any of these would be reported, the previous position obtaining for the person in that regard were ascertained.

d) Migration particulars of each of the members of the sample household were collected, as was done in the fourth quinquennial survey (NSS 43rd round).

e) Probing questions, framed to get data on participation of persons in specified household chores, were put only to females instead of all persons usually engaged in household chores.

f) The schedules on Employment - Unemployment and Consumer Expenditure are to be canvassed in independent sets of households. Since the monthly per capita expenditure of a household is an important classificatory variable for the study of employment- unemployment, household expenditure on broad groups of items were recorded so as to work out monthly per capita expenditure of the household.

g) A sub-sample of FSUs were repeated in two consecutive sub-rounds. The households selected and surveyed in a sub-round were re-visited in the next sub-round for collection of data on employment and unemployment only. The newly formed households, if found, during the second visit to the FSU constituted second-stage stratum 9 and a sample of households were selected from them for canvassing Schedule 10 (and not Schedule 10.1).

h) All the items of information contained in Schedule 10 were not be collected in the second visit. A separate Schedule 10.1 was designed (retaining few blocks of Schedule 10) and used for data collection in the second visit. It is important to note that for the items retained in Schedule 10.1, the reference of block, item or column (i.e., block no., item no. and column no.) were the same as those of Schedule 10 meant for first visit, unless otherwise specifically mentioned. the same concepts, definitions and procedures were followed for collection of data in the second visit.

Work Programme: The survey period of one year was divided into four sub-rounds of three months duration each as below.

sub-round period of survey

1 July-September, 1999 2 October- December, 1999 3 January-March, 2000 4 April-June, 2000

Equal number of sample fsu's were allotted for survey in each of these four sub-rounds. Each fsu was surveyed during the sub-round period to which it was allotted. Within a particular sub-round, efforts were made to spread out the field work of various fsu's uniformly over different weeks/months to the extent possible..Fifty per cent of the sample fsu's of each sub-round were be revisitd again (only for the central sample) in the subsequent sub-round and collected employment-unemployment details from the sample households who were visited during the previous sub-round. In such cases efforts were made to revisit the fsu just after 3 months.

Geographic coverage

The survey covered the whole of the Indian Union excepting (i) Ladakh & Kargil districts of Jammu & Kashmir, (ii) interior villages of Nagaland situated beyond 5 kms. of a bus route & (iii) villages of Andaman & Nicobar Islands remaining inaccessible throughout the year. All the villages of the country, uninhabited according to 1991 census, were also left out of the survey coverage of the NSS 55th round.

Analysis unit

Randomly selected households based on sampling procedure and members of the household

Universe

The survey used the interview method of data collection from a sample of randomly selected households and members of the household

Kind of data

Sample survey data [ssd]

Sampling procedure

One salient feature of the 55th round is that the rotation sampling scheme has been adopted for the first time in the NSS (central sample only) for the purpose of collection of employment-unemployment data. Under this scheme, 50 per cent of the sample first stage units (fsu's) of each sub-round will be revisited in the subsequent sub-round. From each such fsu, sample households visited in the previous sub-round for collecting data on employment-unemployment will be revisited in the subsequent sub-round for collecting employment-unemployment details. In addition, for the purpose of collecting employment-unemployment data, a thin sample of 2 households will be selected during the revisit from the frame of newly formed households in the fsu. It may be noted that the above scheme of rotation sampling scheme for collecting employment-unemployment data will be followed only for the fsu's belonging to the central sample. For state samples, the fsu's are to be visited only once as they appear in the sample list for canvassing various schedules in the selected households/enterprises.

Sampling frame for first stage units:

The frame used for selection of first stage units in the rural sector was the 1991 census list of villages for all the four sub-rounds for 8 states/u.t.s viz. Andhra Pradesh, Assam, Kerala, Madhya Pradesh, Orissa, Uttar Pradesh, West Bengal and Chandigarh. However for Agra district of U.P. and the three districts, viz.Durg, Sagar, and Morena of M.P., samples were drawn using 1981 census list of villages. For Jammu & Kashmir samples for all the 4 sub-rounds were drawn using the 1981 census list as the 1991 census was not conducted in the st ate. For the remaining 23 states/u.t.s, the frame was 1991 census list for sub-rounds 2 to 4 and 1981 census list for sub-round 1 as the 1991 census list was not available for use at the time of drawing the samples. As usual, for Nagaland the list of villages within 5 kms. of the bus route and for Andaman and Nicobar Islands the list of accessible villages constituted the frame. In the case of urban sector the frame consisted of the UFS blocks and, for some newly declared towns where these were not available, the 1991 census enumeration blocks were used.

Region formation and stratification: States were divided into regions by grouping contiguous districts similar in respect of population density and cropping pattern. In rural sector each district was treated a separate stratum if the population was below 2 million and where it exceeded 2 million, it was split into two or more strata. This cut off point of population was taken as 1.8 million ( in place of 2 million ) for the purpose of stratification for districts for which the 1981 census frame wa s used. In the urban sector, strata were formed, within each NSS region on the basis of population size class of towns. However for towns with population of 4 lakhs or more the urban blocks were divided into two classes viz. one consisting of blocks inhabited by affluent section of the population and the other consisting of the remaining blocks.

Selection of first stage units :

Selection of sample villages was done circular systematically with probability proportional to population and sample blocks circular system-atically with equal probability. Both the sample villages and the sample blocks were selected in the form of two or more independent

Abstract

The GHS is a cross-sectional survey of 22,000 households throughout the country. The panel component (GHS-Panel) is now being applied to 5,000 households of the GHS and covers multiple agricultural activities. The focus of this panel component is to improve data from the agriculture sector and link this to other facets of household behaviour and characteristics. The GHS-Panel drew heavily on the HNLSS and the NASS to create a new survey instrument and method to shed light on the role of agriculture in households' economic wellbeing. The NBS implemented the first stage (Post Planting) of the first wave of the GHS-Panel in 2010. This panel is a subset of the full GHS (or GHS-Cross Section) that will be finished in 2011.) It is envisaged that the GHS-Panel will be carried out every two years while the GHS-Cross Section will be carried out annually.

The specific outputs and outcomes of the revised GHS with panel component are:

• Development of an innovative model for collecting agricultural data in conjunction with household data;
• Development of a model of inter-institutional collaboration between NBS and the FMA&RD and NFRA, inter alia, to ensure the relevance and use of the new GHS;
• Building the capacity to generate a sustainable system for the production of accurate and timely information on agricultural households in Nigeria.
• Comprehensive analysis of poverty indictors and socio-economic characteristics.

Geographic coverage

National, the survey covered all the 36 states and Federal Capital Territory (FCT).

Analysis unit

Households, Individuals, Agricutural plots

Kind of data

Sample survey data [ssd]

Sampling procedure

Sample Design The GHS-Panel (Post Planting 2010), like all household surveys in the country, is based on the Master Sample Frame, This Frame is based on the 2006 Housing and Population Census conducted by the National Population Commission (NpopC). The census includes approximately 662,000 enumeration areas (EAs) throughout the country. From the census, the Master Frame was constructed at the local government area (LGA). In 668 LGAs, 30 EAs were scientifically selected. The remaining six LGAs are found in FCT, Abuja. Forty EAs were scientifically selected in each of these 6 LGAs. This gives a total of 23,280 EAs selected nationally. This is the Master Frame.

From the Master Frame a master sample frame, called the National Integrated Survey of Households 2007/2012 Master Sample Frame (NISH-MSF) was developed. The NISHMSF was constructed by pooling the LGAs in the Master Frame by state. Thereafter, a systematic sample of 200 EAs was selected with equal probability across all LGAs within the state. Furthermore, the NISH EAs in each state were divided into 20 replicates of 10 EAs each. However, the sample EAs for most national household surveys such as the GHS are based on a sub-sample of the NISH-MSF, selected as a combination of replicates from NISH-MSF frame. For the GHS-Panel, the sample is a subset of the EAs selected for the GHS.

Sample Framework The sample frame includes all thirty-six (36) states of the federation and Federal Capital Territory (FCT), Abuja. Both urban and rural areas were covered and in all, 500 clusters/EAs were canvassed and 5,000 households were interviewed. These samples were proportionally selected in the states such that different states have different samples.

Sample Selection The GHS Panel Survey used a two stage stratified sample selection process.

First Stage The Primary Sampling Units (PSUs) were the Enumeration Areas (EAs). These were selected based on probability proportional to size (PPS) of the total EAs in each state and FCT, Abuja and the total households listed in those EAs.

Second Stage The second stage involved the systematic selection of ten (10) households per EA. This involved obtaining the total number of households listed in a particular EA, and then calculating a Sampling Interval (S.I) by dividing the total households listed by ten (10). The next step is to generate a random start 'r' from the table of random numbers which stands as the 1st selection. The second selection is obtained by adding the sampling interval to the random start. For each of the next selections, the sampling interval was added to the value of the previous selection until the 10th selection is obtained. Determination of the sample size at the household level was based on the experience gained from previous rounds of the GHS, in which 10 HHs per EA are usually selected and give robust estimates.

Mode of data collection

Face-to-face [f2f]

Cleaning operations

This survey used concurrent data entry approach. In this method, the fieldwork and data entry were handled by each team assigned to the state. Each team consisted of a field supervisor, 2-4 interviewers and a data entry operator. Immediately after the data were collected in the field by the interviewers and supervisors (the supervisors administered the community questionnaires and collected data on prices), the questionnaires were handed over to the supervisor to be checked and documented. At the end of each day of fieldwork, the questionnaires were then passed to the data entry operator for entry. After the questionnaires were entered, the data entry operator generated an error report which reported issues including out of range values and inconsistencies in the data. The supervisor then checked the report, determined what should be corrected, and decided if the field team needed to revisit the household to obtain additional information. The benefits of this method are that it allows one to: - Capture errors that might have been overlooked by a visual inspection only, - Identify errors early during the field work so that if any correction required a revisit to the household, it could be done while the team was still in the EA

The CSPro software was used to design the specialized data entry program that was used for the data entry of the questionnaires.

Abstract

The Enterprise Survey 2008 was conducted by GSO and its sub-institutions to collect information on enterprises operating in Viet Nam at the end of the year 2007. It is the eighth year of the annual enterprise surveys. All business entities existing at the end of the year were surveyed. Objectives of the survey: - To collect information of enterprises' productive factors (labor, capital, assets,…) and business results in 2007, to assess the situation and capacity of enterprises in different industries and economic sectors. - To collect necessary information for aggregating officially reported indicators in the year 2007 for specialities (number of enterprises, numbers of employees, capital, assets, business result indicators, indicators of the national account such as production value, intermediate cost, value added...) and calculating statistical weights for 2007 as the based year. - To update the enterprise database to meet requirements of statistics of enterprises and other statistics.

Survey Implementation The survey were organized and steered by GSO and principally conducted by Provincial Statistical Offices. Data were gathered by two methods, direct and indirect ones. Details of the two methods and their applicable objects are:

Direct data gathering: enumerators interview respondents directly, ask for data, explanations of circumstance. Based on that, the enumerators fill out the questionnaire. This method is applied for the business environment questionnaire and survey units which have not fully followed accounting standards, unable to self-fill out the questionnaire (small-size enterprises, enterprises under preparation for dissolving, enterprises under investigation,…)

Indirect data gathering: Organization of meeting of chief accountants, accountants or statistical staffs of survey units, or enumerators instruct directly how to fill out the questionnaires as well as information of where to send, how to send, time for sending, so that the survey units fill out the questionnaire on their own and send filled questionnaires to the survey organizer.

Geographic coverage

National

Analysis unit

Enterprise

Universe

They are enterprises independently keeping business account, they were established and under regulations of the State Enterprise Law, Cooperative Law, Enterprise Law, Foreign Investment Law, began business operation before 1st January 2008 and currently exist. They may include seasonal operation enterprises which did not operate on all 12 months of year 2006, enterprises which suspend operation for renovation investment, repairing, construction, production extension, enterprises which stop operation for merging or dissolving but still have the managerial system for answering questions in the questionnaire (exclude enterprises that do not have the managerial system for answering the questions in the questionnaire).

Kind of data

Sample survey data [ssd]

Sampling procedure

The Enterprise Survey 2008 is conducted according to census and sample survey methods. There are three cases that the sample survey are applied. The first case is for surveying non-state enterprises having less than 10 labors, the second case is for surveying of production and business cost, the third case is for business environment survey. Sample selection of these cases are described as follows:

Sample Selection of non-state enterprises having less than 10 employees for application of the Questionnaire No. 1A-DTDN (general questionnaire) (1) The Sampling Frame: The sampling frame is established based on the list of non-state enterprises having less than 10 employees from the Enterprise Survey in the year 2005 (except the enterprises in hotel industry which are all selected). The sampling frame is stratified according to the 2-digit-level industrial classification; in each 2-digit-level industry, enterprises are listed with descending order based on net revenues of production and business in the year 2007. Commercial industry or service industries are stratified into 4-digit-level industries or groups of 4-digit-level industries. (2) Sample selection: The number of non-state enterprises selected for applying the Questionnaire No 1A-DTDN is 15% of enterprises which have less than 10 employees in the list of enterprises from which were collected filled questionnaires in the year 2007. The principle for sample selection is to have reprentativeness of each 2-digit-level industry (for commercial or service industries), representativeness is at 4-digit-level industries or groups of industries in provincies. The selection method is systematic sampling with fixed intervals after a ramdom start. Because the numbers of enterprises having less than 10 employees in provinces, cities are significantly differential, a number of provinces do not have numerous enterprises, no choice of enterprises having less than 10 employees for applying Questionnaire No. 1A-DTDN is only done in 15 provinces/cities: they are Lai Chau, Ha Giang, Dien Bien, Bac Kan, Son La, Cao Bang, Tuyen Quang, Lao Cai, Yen Bai, Ha Nam, Hoa Binh, Ninh Thuan, Kon Tum, Dak Nong, Hau Giang.

Sample selection of enterprises which are surveyed for production, business cost (Questionnaire No. 2A-DTDN) (1) Establishing the Sampling Frame The sampling frame is established based on the list of enterprises from which were collected filled questionnaires in the 2007 Enterprise Survey. (2) Sample Selection The sample is representative for 8 regions and 2-digit level economic industries in each region with sample size of about 10000 enterprises (the sample ratio is approximately 10%). Sample allocation to each region or each 2-digit-level economic industry is based on share of production value of each region to that of the whole country and share of each 2-digit-level economic industry in production value of the region. In each 2-digit-level economic industry, enterprises are listed with descending order based on net revenues of production and business in the year 2004. After having number of sample in each region and each 2-digit-level economic industry in the region, sample selection is done for each 2-digit- level industry in regions by systematic sample with fixed interval of K (K= total number of the 2-digit-level industry divided by the allocated sample to the industry) after a random start.

Sample selection of enterprises conducted business environment survey (Questionnaire No. 4- DTDN) The sample for business environment survey is selected to be respresentative for 1-digit-level industries in each province/city with the sample about 10000 enterprises (Approximate 10%).

Sampling deviation

Procedure for selecting enterprises when sampled enterprises When sample enterprises are missing, Statistical Office of Provinces/ Cities have rights to complete the sample with following priority order: - Enterprises in the province/city and the same 4-digit-level industry having the closest net revenue to the missing enterprises in the sample. - Enterprises in the province/city and the same 2-digit-level industry having the closest net revenue to the missing enterprises in the sample. There was no reports of missing cases, however, with the above procedure, it is expected that there is no major deviations from sample design

Mode of data collection

Face-to-face [f2f]

Research instrument

There were three general types of questionnaires: 1) Questionnaires for basic indicators about production, business of enterprises; 2) Questionnaire about energy; 3) Questionnaire on business environment. In the first and the second general types of questionnaire, there were several specific questionnnaires for specific enterprises. In the current database, only data collected from the first general type of questionnaire is available.

(1) Questionnaires for basic indicators about production, business of enterprises a. Questionnaire No. 1A-DTDN: this questionnaire is to collect information of enterprises in the year 2007 (Applicable to all state enterprises, non-state enterprises having more than 10 employees, 15% of non-state enterprises having less than 10 employees which are selected to be surveyed, all foregin invested enterprises of all industries in the national economy). This questionnaire was filled in for each enterprise as survey object to collect information on screening, labor including labor compensation, activities, production... b. Questionnaire No. 1B-DTDN: this questionnaire is to collect information of enterprises in the year 2007. (Applicable to non-state enteprises having less than 10 employees of all industries in the national economy, but not being selected to be surveyed with Questionnaire No. 1A-DTDN). This is short version of question No.1A-DTDN.
c. Questionnaire No. 1C-DTDN: Production, Selling and Inventory of some industrial products in year 2007. (Applicable to all enterprises having industrial activity as the main activity). This questionnaire is to gather information on production, selling and inventory if industrial products.
d. Questionnaire No. 2B-DTDN: Results of financial intermediate and financial assistance activities in year 2007. (Applicable to all enterprises which are credit institution: Banks, financial comparies, people's credit funds... ). Information on detail revenue and cost items and business result of financial intermediate and financial assistance activities were collected with this questionnaire.
e. Questionnaire No 2C- DTDN: Results of insurance activity and insurance brokerage in year 2007. Information on detail revenue and cost items and business result of insurance activity and insurance brokerage

Abstract

The National Sample Surveys (NSS) are conducted by the Government of India since 1950 to collect data on various socio-economic indicators employing scientific sampling methods. The seventy-ninth round of NSS will commence from July 2022. NSS 79th round is earmarked for collection of data for compilation of a number of SDG indicators through a „Comprehensive Annual Modular Survey (CAMS)" along with a survey on Ayurveda, Yoga, Naturopathy, Unani, Siddha, Sowa-Rigpa/Amchi and Homoeopathy (AYUSH). Comprehensive Annual Modular Survey (CAMS): CAMS is introduced to cater the emerging need of information on high-frequency socio-economic indicators that are not available from any other sources like administrative data, etc. CAMS will collect information required for the purpose of generating some SDG indicators and subindicators of Global Indices. This survey will be annual in which some of the modules may be repeated annually and some periodically with more than one year periodicity.

List of some SDG and sub-indicators of Global indices which will be generated from CAMS is given below: Proportion of population using safely managed drinking water services Proportion of population using (a) safely managed sanitation services and (b) a hand-washing facility with soap and water Proportion of individuals who own a mobile phone, by sex Proportion of population covered by a mobile network, by technology Percentage of Household with a computer Percentage of individuals using internet during last 3 months, last 365 days Percentage of adult having an account at a formal financial institution Percentage of women having an account at a formal financial institution Proportion of children under 5 years of age whose births have been registered with a civil authority, by age Proportion of population that has convenient access (0.5 km/1 km) to public transport (low/ high-capacities) stop. Participation rate of youth and adults in formal and non-formal education and training in the previous 12 months, by sex Proportion of youth (aged 15–24 years) not in education, employment or training Mean year of schooling Out-of-pocket medical expenditure on hospitalization during last 365 days

Geographic coverage

15416 FSUs will be surveyed at all-India level for CAMS and AYUSH survey. The survey will cover the whole of the Indian union except the villages in Andaman and Nicobar Islands which are difficult to access.

Analysis unit

Randomly selected households based on sampling procedure and members of the household.

Universe

The survey used the interview method of data collection from a sample of randomly selected households and members of the household.

Sampling procedure

Sample Design

Formation of sub-units (SUs): Rural areas: A rural village will be notionally divided into a number of sub-units (SU) of more or less equal population during the preparation of frame. Census 2011 population of villages will be projected by applying suitable growth rates and the number of SUs to be formed in a village will be determined apriori.

The above procedure of SU formation will be implemented in the villages with population more than or equal to 1000 as per Census 2011. In the remaining villages, no SU will be formed.

The number of SUs to be formed in the villages (with Census 2011 population 1000 or more) of the frame will be decided before selection of the samples following the criteria given below: projected population of the village no. of SUs to be formed less than 1200 1 1200 to 2399 2 2400 to 3599 3 3600 to 4799 4 4800 to 5999 5 .......and so on ....

Special case: For rural areas of (i) Himachal Pradesh, (ii) Sikkim, (iii) Andaman & Nicobar Islands, (iv) Uttarakhand (except four districts Dehradun, Nainital, Hardwar and Udham Singh Nagar), (v) Punch, Rajouri, Udhampur, Reasi, Doda, Kishtwar, Ramban of Jammu and Kashmir (vi) Leh and Kargil districts of Ladakh region and (vii) Idukki district of Kerala, numbers of SUs to be formed in a village will be determined in such a way that each SU contains 600 or less projected population. Further, SUs will not be formed in the villages in the above mentioned districts/States with population less than 500 as per Census 2011. In the remaining villages the number of SUs to be formed for these States/districts will be as follows: projected population of the village no. of SUs to be formed less than 600 1 600 to 1199 2 1200 to 1799 3 1800 to 2399 4 2400 to 2999 5 .......and so on ....

Urban areas: SUs will be formed in urban sector also. The procedure will be similar to that adopted in rural areas except that SUs will be formed on the basis of households in the UFS frame instead of population, since UFS frame does not have population. Each UFS block with number of households more than or equal to 250 will be divided into a number of SUs. In the remaining UFS blocks, no SU will be formed.

The number of SUs to be formed in the UFS blocks of the frame will be decided before selection of the samples following the criteria given below: number of households of the UFS block no. of SUs to be formed less than 250 1 250 to 499 2 500 to 749 3 750 to 999 4 1000 to 1249 5 .......and so on ....

Stratification of FSUs: Rural Sector: A Special Rural stratum, at all-India level, will be formed comprising all the uninhabited villages as per census 2011 belonging to all States/UT. For the remaining villages which are inhabited as per census 2011, districts will be basic geographical unit for stratum formation. Within each district, two Stratum will be formed: (a) The villages (i) within a distance of 5 Kms from the district headquarter or (ii) within a distance of 5 Kms from a city/town with more than 5 lakh population, will form a stratum (stratum 1). The information will be obtained from the village directory of census 2011. It will be the stratum 1 for a particular district. (b) Rest of the villages will constitute another stratum (stratum 2) of the particular district.

Urban Sector: Two or more strata will be formed in urban areas of each district: (i) each million plus city as per census 2011 will constitute separate stratum . Stratum no will be 01, 02, 03....,19 (ii) rest of the urban areas of the district. Stratum no will be 20.

Mode of data collection

Face-to-face [f2f]

Abstract

The Palestinian Family Survey (MICS) was carried out in 2010 by the Palestinians Central Bureau of Statistics (PCBS), with UNICEF’s and UNPA’s financial and technical support. The Palestinian Family Survey is a national household survey programme developed by PCBS based on international standard demographic health surveys as well as MICS surveys. The Palestinian Family Survey was conducted as part of the fourth global round of MICS surveys (MICS4). The survey provides up to date information on the health, economic, and social situation of women and children; in addition to providing information on characteristics of the family in which each woman and child live as well as the main indicators about the categories of youth and elderly. This offers a study, analysis, and understanding of the actual indicators and their relationship with demographic, social, economic, and environmental variables. The survey also measures the major indicators which allows countries to monitor their progress towards achieving the Millennium Development Goals (MDGs) besides measuring the level of fulfilling other internationally agreed upon commitments; in addition to enabling policy and decision makers, and intervention programs to evaluate the plans and programs, amend them, and locate the areas of intervention based on the results. The carry out of the survey also aims at updating the databases on women and children as well as building and enhancing the technical staff capabilities of carrying out surveys and analyzing data out of them. The Palestinian Family survey conducted in 2010 was led by a technical team from the Palestinians Central Bureau of Statistics, UNICEF, and UNFPA, and Ministry of Health.

The Palestinian Family Survey was conducted for a representative sample of the State of Palestine. The survey was designed as a multi- stage cluster covering all the State of Palestine including two geographic areas; The West Bank which included 11 governorates: (Jenin, Tubas, Tulkarm, Qalqiliya, Nablus, Ramallah & Al-Bireh, Jerusalem, Jericho & Al-Aghwar, Bethlehem, Hebron) and the Gaza Strip which include governorates (Gaza, Khan Yunis, Rafah, Deir El Balah and North Gaza). Of the 15,355 households selected in the sample, results showed that the number of occupied households were 14,817 of which 13,629 households were successfully interviewed during the survey, giving a response rate of 92 percent. There were 13,982 women in the 15-49 age group of which a total of 11,173 eligible women were successfully interviewed, achieving a response rate of 80 percent. In addition, 8,024 children were identified in the household questionnaire for whom a total of 7,900 mothers or child caretakers were interviewed. The total response rates of individual interviews are calculated as 73 percent of eligible women and 90 percent with children under 5 respectively. The total households interviewed reached (13,629) households, which included 81,510 individuals members who were listed. Of these, 41,379 were males and 40,131 were females, yielding a sex ratio of 103 males per hundred females.

Geographic coverage

West Bank: Jenin, Tubas, Tulkarm, Qalqiliya, Nablus, Ramallah & Al-Bireh, Jerusalem, Jericho & Al-Aghwar, Bethlehem, Hebron Gaza Strip: Gaza, Khan Yunis, Rafah, Deir El Balah and North Gaza

Analysis unit

• Individuals
• Households

Universe

The survey covered all de jure household members (usual residents), all women aged between 15-54 years, all children under 5 living in the household, all youth aged 15-29 years, and all elderly (60+ years old).

Kind of data

Sample survey data [ssd]

Sampling procedure

The primary objective of the sample design for the Palestinian Family Survey was to produce statistically reliable estimates of most indicators, at the national level, for urban and rural areas, refugee camps and for the sixteen governorates (11 in the West Bank and 5 in the Gaza Strip). Urban and rural areas and the refugee camps in each of the sixteen governorates were defined as the sampling strata.

A multi-stage, stratified cluster sampling approach was used for the selection of the survey sample.

The sampling frames used has been established in PCBS,and basically comprises the list of enumeration areas. (The enumeration area is a geographical area containing a number of buildings and housing units of about 120 housing units on average.)

The total frame consists of the following two parts: 1- West Bank and Gaza Sampling Frame: containing enumeration areas drawn up in 2007. In the West Bank: each enumeration area consists of a list of households with identification data to ascertain the address of individual households. In Gaza: each enumeration area contains a list of housing units with addresses to ascertain the address of individual households, plus identification data of the housing units. 2- Jerusalem Sampling Frame (J1): contains enumeration areas only, geographically divided with information about the total number of households in these areas. However, there is no detailed information about addresses inside enumeration areas and the size of the enumeration area can be ascertained without the ability to identify the addresses.

Both frames were used in the sample design and selection and therefore, the sample will differ from one frame to another. Also, the method of reaching the sample units by interviewers may differ.

In the survey, two variables were chosen to divide the population into strata, depending on the homogeneity of parts of the population. Previous studies have shown that Palestinian households may be divided as follows: 1- Governorates: there are 16 governorates in the State of Palestine: 11 governorates in the West Bank and 5 in the Gaza Strip. 2- Locality Types: there are three types : urban, rural and refugee Camps.

After determining the sample size, which equals 15,355 households, we selected a probability sample - a multi-stage stratified cluster sample as follows: 1- First stage: selecting a sample of clusters (enumeration areas) using PPS without replacement method to obtain 644 enumeration areas from the total enumeration area frame. 2- Second stage: selecting 24 households from each selected enumeration area of the first stage and using the systematic sample method. When reaching households, all individuals were interviewed from the eligible groups i.e. women 15-54 years, elderly aged 60 years or above and children aged 0-4 years 3- Third stage: selecting one child of age group 2-14 years for part of the questionnaire and one young person from the 15-29 age group to answer the youth attachment in the questionnaireThe Kish table was used to select one child at random. 4- Also in the women's health section, the questionnaire was administered to a maximum of three randomly selected women aged 15-54 years irrespective of their marital status living in the households. In the case where 3 or less women aged 15-54 were listed in the HH all women were interviewed. As for Households with 4 or more women in this age group 3 were interviewed based on the availability of these women in the household at the time of the interview. The unselected women were further treated in the dataset as non-response cases. As for Households with 4 or more women in this age group 3 were interviewed based on the availability of these women in the household at the time of the interview. The unselected women were further treated in the dataset as non response cases. 5- The elderly age 60 years and above questionnaire was administered for all elderly persons within the household. 6- The Youth questionnaire was administered by randomly selecting a youth member from households with odd household numbers assigned at the enumeration area level. Within this sample female and male youth were alternatively selected.

The sample was allocated with proportionally using the design strata of the governorates and the locality type according to the proportion of the population in the 2007 Census.

The sampling procedures are more fully described in "Palestinian Family Survey 2010 - Final Report" pp.167-171.

Mode of data collection

Face-to-face [f2f]

Research instrument

The design of the survey complied with the standard specifications of health surveys previously implemented by PCBS. In addition, the survey included indicators of MICS4 to meet the needs of all partners.

Five sets of questionnaires were used in the survey, three are considered as main questionnaires and are based on MICS4 standard questionnaires,viz.: 1) a household questionnaire which was used to collect information on all de jure household members (usual residents), the household, and the dwelling; and a section on general health and knowledge of HIV and AIDS adminstered to three randomly selected women 15-54 years in each houehold, irrespective of marital status, 2) a women’s questionnaire administered in each household to all ever-married women aged 15-54 years (to allow for comparison with the previous survey, however, all the tables and analysis were undertaken for the women aged 15-49 only; 3) an under-5 questionnaire, administered to mothers or caretakers for all children under-5 years living in the household. The two additional country specific questionnaires were, 4) the youth aged 15-29 years old questionnaire; and 5) the elderly (60+ years old) questionnaire.

• Household Questionnaire: Covers demographic and educational characteristics, chronic disease, smoking, discipline of children (2-14 years), child labor (5-14 years), education of children (5-24 years) and housing characteristics. • Women’s Health (15-54 years) Questionnaire: regardless of marital status, awareness about

The National Health Interview Survey (NHIS) is conducted annually and sponsored by the National Center for Health Statistics (NCHS), which is part of the U.S. Public Health Service. The purpose of the NHIS is to obtain information about the amount and distribution of illness, its effects in terms of disability and chronic impairments, and the kinds of health services people receive across the United States population through the collection and analysis of data on a broad range of health topics. The redesigned NHIS questionnaire introduced in 1997 (see NATIONAL HEALTH INTERVIEW SURVEY, 1997 [ICPSR 2954]) consists of a Core that remains largely unchanged from year to year, plus an assortment of Supplements varying from year to year. The 2011 NHIS Core components contain Household, Family, Person, Sample Adult, and Sample Child files. Each record in Part 1, Household Level, contains data on type of living quarters, number of families in the household responding and not responding, and the month and year of the interview for each sampling unit. Part 2, Family Level, is made up of reconstructed variables from the person-level data of the basic module and includes information on sex, age, race, marital status, education, veteran status, family income, family size, major activities, health status, health care costs, activity limits, and employment status, along with industry and occupation. As part of the basic module, Part 3, Person Level, provides information on all family members with respect to health status, limitation of daily activities, cognitive impairment, and health conditions. Also included are variables related to doctor visits, hospital stays, and health care access and utilization. Basic demographic information is provided as well. A randomly-selected adult in each family was interviewed for Part 4, Sample Adult Level, regarding respiratory conditions, renal conditions, AIDS, joint symptoms, health status, health care and doctor visits, limitation of daily activities, and behaviors such as smoking, alcohol consumption, and physical activity. Part 5, Sample Child Level, provides information from an adult in the household on medical conditions of one child in the household, such as developmental or intellectual disabilities, respiratory problems, seizures, allergies, and use of special equipment like hearing aids, braces, or wheelchairs. Parts 6 through 11 comprise the additional Supplements and Paradata for the 2011 NHIS. Part 6, Injury/Poison Episode, is an episode-based file that contains information about the external cause and nature of the injury or poisoning episode and what the person was doing at the time of the injury or poisoning episode, in addition to the date and place of occurrence. Part 7, Adult Disability Level and Part 8, Child Disability Level, are a supplemental set of six questions asked at the end of the Sample Adult and Sample Child Questionnaires for half of families that did not receive the Family Disability Supplement. These specific disability questions were only asked of the Sample Adult and the Sample Child. Part 9, Family Disability Level, seeks to identify the subpopulation that is at a greater risk than the general population of experiencing restrictions in social participation, for example, restrictions in employment, education, or civic life. Specific questions ask about respondent difficulty performing daily activities, such as dressing, bathing, or walking. Approximately one half of sample adults were selected to receive the Part 10, Adult Functioning and Disability Level Supplement. Questions were asked about a respondent's functioning in various basic and complex activity domains: vision, hearing, mobility, communication, cognition, upper body, affect, pain, and fatigue. This supplement also included questions designed to capture an individual's ability to participate in society. Follow-up questions on the degree of difficulty, use of assistive devices, and functioning with assistance were included for most domains. Part 11, Paradata Level, does not contain health related information, but rather data which are related to the interview process, including measures of time, contact-ability, and cooperation. Please see the User Guide for additional information and details.

This fifteenth Orange County Annual Survey, UCI, examines several topics of recent relevance in Orange County and analyzes social, economic and political trends over time. The survey measures the extent to which Orange County has recovered from the economic recession and the county government's bankruptcy. It does this by analyzing trends in attitudes toward the economy, quality of life, local government, consumer confidence and personal finance. A special focus this year is to better understand attitudes about charity and charitable giving. Finally, it continues to track trends over time in the county's most important problems, transportation, housing and the political climate. The sample size is 1,000 Orange County adult residents.Online data analysis & additional documentation in Link below. Methods The Orange County Annual Survey, UCI, was co-directed by Mark Baldassare, professor and chair of urban and regional planning, and Cheryl Katz, research associate. The random telephone survey included interviews with 1,000 Orange County adult residents co nducted August 30 to September 8, 1996. We follow the methods used in the 14 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 included 96 questions and took an average of 20 minutes to complete. The interviewing was conducted in English and Spanish, as needed. The completion rate for the survey was 68 percent. This rate is consistent with earlier Orange County Annual Surveys. The field work was conducted by Interviewing Services of America in Van Nuys, CA. The survey sample was compared to the U.S. Census and state figures by city for Orange County and was found to represent the actual regional distribution of Orange County residents. The sample's demographic characteristics were also closely comparable to the Census and other survey data, including the previous Orange County Annual Surveys.The sampling error for this survey is +/3 percent at the 95 percent 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 question wording, ordering, and survey timing.

This seventeenth Orange County Annual Survey continues to track trends over time in the county's important social, economic and political issues. This year, there is a special focus on understanding the impacts of incresing urbanization and the changing demographics of Orange County. The sample size is 1,000 Orange County adult residents. Online data analysis & additional documentation in Link below. Methods The 1998 Orange County Annual Survey was co-directed by Mark Baldassare, professor at UCI and senior fellow at the Public Policy Institute of California, and Cheryl Katz, research associate. The random telephone survey included interviews with 2,002 Orange County adult residents conducted Sept. 1-13, 1998. We follow the methods used in the 16 previous surveys, with two exceptions. This year, we doubled the sample size of the Orange County Annual Survey, which is usually about 1,000 interviews, so that we could expand our analysis of the Latino and Asian populations. We also conducted interviews in Vietnamese as well as in English and Spanish. 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, Spanish or Vietnamese, as needed. The completion rate was 74 percent. The telephone interviewing was conducted by Interviewing Services of America in Van Nuys, CA. The survey sample was compared with the U.S. Census and state figures by city for Orange County, and was found to represent the actual regional distribution of Orange County residents. The sample's demographic characteristics also were closely comparable to the census and other survey data, including previous Orange County Annual Surveys. The sampling error for this survey is +/2% at the 95% confidence level. This means that 95 times out of 100, the results will be within two 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 question wording, ordering, and survey timing. Throughout the report, we refer to two geographic regions. North County includes 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 County includes Newport Beach, Irvine, Lake Forest, Aliso Viejo, Laguna Hills, Laguna Niguel, Mission Viejo, Portola Hills, Rancho Santa Margarita, Foothill Ranch, Coto de Caza, Trabuco Highlands, El Toro Station, 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 North County.

The Swiss Election Study (Selects) 2023 consists of four complementary components: The Post-Election Survey (PES), the Panel Survey, the Candidate Survey, and the Media Analysis. The study design is largely inspired by Selects 2019. The PES and Candidate Survey are mixed-mode surveys (online/paper), with a push-to-web design, whereas the Panel Study is an online survey. In April 2022, a call for questions/modules was opened to allow researchers from Switzerland and abroad to include novel questions into one or different components of Selects. Ten out of 14 submitted proposals were selected by the Selects Commission after a review process conducted by internationally renowned election researchers, and were fully or partially integrated into one or several components of Selects 2023. The Selects surveys were approved by the Ethics commission of the University of Lausanne.

Post-Election Survey (PES): The Post-Election Survey consists of 5033 respondents who answered the questionnaire in the period from 23 October 2023 to 12 January 2024. The survey was conducted in a sequential mixed mode with web offered as the first option: 90% responded in this way, while 10% responded by returning the paper questionnaire that was sent out with the second reminder to those that had not completed the web questionnaire. The sampling was based on a representative sample of around 2’600 Swiss citizens, with an oversampling of small cantons to have at least 50 respondents in every canton. An additional oversampling was done in the cantons of Geneva and Ticino thanks to additional funding from these cantons. The sample was drawn by the Federal Statistics Office from the SRPH. Sample members received an unconditional incentive (10 CHF in cash) that was sent out with the invitation letter. Module 6 Questionnaire of the Comparative Study of Electoral Systems was included into the PES.

Panel Survey: The Panel Survey studies the evolution of opinion and vote intention/choice during the different phases of the election cycle. In 2023, three waves were conducted: the first before the main campaign period (June/early August), the second during the election campaign (September/October), and the third after the elections (October/November). The initial random sample (stratified by big region/NUTS II) was taken by the Federal Statistics Office from the SRPH. 8197 individuals responded to the first wave, 6077 to the second wave, and 5579 to the third wave. Conditional incentives were used in all three panel waves (lottery of 5x300 CHF in wave 1, 10 CHF in cash in waves 2 and 3). The Panel Survey will continue with annual follow-up waves until the 2027 elections. Wave 4 took place between 23 September and 4 November 2024, with 4'919 respondents.

Candidate Survey: The Candidate Survey was carried out among all candidates for the National Council and the Council of States in the framework of the international Comparative Candidate Survey (CCS) project, based on the Round III questionnaire. The survey collects data on the biography, campaign activities, and policy position of the candidates. Among others, the information gathered makes possible the study of underlying factors of candidates’ electoral success, as well as of issues of representation and linkage between voters and elites. In 2023, 2527 out of 5997 candidates participated in the Candidate Survey. This survey was conducted by FORS in collaboration with Politools and the University of Bern.

Media Analysis: On behalf of Selects, the Center for Research & Methods at the University of Applied Sciences in Business Administration Zurich (HWZ) conducted a Media Analysis. The Media Analysis is a supplement to the Panel Survey and makes it possible to analyse the election campaign in the media and its influence on voters' opinion formation. A media study has been part of Selects since 2003. In 2023, 116 daily or weekly newspapers (print and online) were content-analyzed in the period between 1 May 2023 and 31 October 2023.