100+ datasets found
  1. Enterprise Survey 2005 - Turkiye

    • microdata.worldbank.org
    • catalog.ihsn.org
    • +1more
    Updated Jun 13, 2022
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    European Bank for Reconstruction and Development (2022). Enterprise Survey 2005 - Turkiye [Dataset]. https://microdata.worldbank.org/index.php/catalog/328
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    Dataset updated
    Jun 13, 2022
    Dataset provided by
    European Bank for Reconstruction and Developmenthttp://ebrd.com/
    World Bankhttps://www.worldbank.org/
    Time period covered
    2005
    Area covered
    Türkiye
    Description

    Abstract

    This research was conducted in Turkey from March 10 to April 20, 2005, as part of the third round of the Business Environment and Enterprise Performance Survey. 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 survey topics include firm characteristics, information about sales/suppliers, competition, infrastructure services, judiciary/law enforcement collaboration, security, government policies/laws/regulations, financing, overall business environment, bribery, capacity utilization, performance and investment activities, and workforce composition.

    Geographic coverage

    National

    Analysis unit

    The primary sampling unit of the study is the establishment.

    Universe

    The manufacturing and services sectors are the primary business sectors of interest.

    Kind of data

    Sample survey data [ssd]

    Sampling procedure

    The information below is taken from "The Business Environment and Enterprise Performance Survey (BEEPS) 2005: A brief report on observations, experiences and methodology from the survey" prepared by Synovate, a research company that implemented BEEPS III instrument.

    The general targeted distributional criteria of the sample for BEEPS III countries were to be as follows:

    1) Coverage of countries: The BEEPS III instrument was to be administered to approximately 9,500 enterprises in 28 transition economies: 16 from CEEE (Albania, Bosnia and Herzegovina, Bulgaria, Croatia, Czech Republic, Estonia, FR Yugoslavia, FYROM, Hungary, Latvia, Lithuania, Poland, Romania, Slovak Republic, Slovenia and Turkey) and 12 from the CIS (Armenia, Azerbaijan, Belarus, Georgia, Kazakhstan, Kyrgyzstan, Moldova, Russia, Tajikistan, Turkmenistan, Ukraine and Uzbekistan).

    2) Sector: In each country, the sectoral composition of the sample in terms of manufacturing (including agro-processing) (1) versus services (including commerce) (2)was to be determined by their relative contribution to GDP. Firms that operate in sectors subject to government price regulation and prudential supervision, such as banking, electric power, rail transport, and water and waste water, were to be excluded from the design of the sample.

    3) Size: At least 10% of the sample was to be in the small (3) and 10% in the large size categories. Firms with only one employee or more than 10,000 employees were to be excluded.

    4) Ownership: At least 10% of the firms were to have foreign control (4) and 10% state control (4).

    5) Exporters: At least 10% of the firms were to be exporters (5), meaning that some significant share of their output is exported.

    6) Location: At least 10% of firms were to be in the category "small city/countryside" (6).

    7) BEEPS 2002 sample coverage: The BEEPS III survey instrument was to be administered to a given proportion of respondents who participated in BEEPS 2002 and had agreed in principle, at that time, to participate in future rounds of the BEEPS.

    Enterprises, which began operations in 2002, 2003 and 2004, were to be excluded from the survey.

    (1). Mining and quarrying (Section C: 10-14), Construction (Section F: 45), Manufacturing (Section D: 15-37) (2). Transportation, storage and communications (Section I: 60-64), Wholesale, retail, repairs (Section G: 50-52), Real estate, business services (Section K: 70-74), Hotels and restaurants (Section H: 55), Other community, social and personal activities (Section O: selected groups) (3). Small=2-49 employees, Medium=50-249, Large=250 - 9,999 (4). More than 50% shareholding (5). Exports 20% or more of total sales (6). Population under 50,000 inhabitants

    8) The following sources of information were used to prepare the sample frame for Turkey: General Census of Industry and Business Establishments; Data from the State Institute of Statistics.

    Mode of data collection

    Face-to-face [f2f]

    Research instrument

    The current survey instruments are available:

    • Screener and Main Questionnaires.

    The survey topics include firm characteristics, information about sales/suppliers, competition, infrastructure services, judiciary/law enforcement collaboration, security, government policies/laws/regulations, financing, overall business environment, bribery, capacity utilization, performance and investment activities, and workforce composition.

    Cleaning operations

    Data entry and first checking and validation of the results were undertaken locally. Final checking and validation of the results were made at Synovate Head Office.

  2. Investment Climate Survey 2005 - China

    • microdata.worldbank.org
    Updated Sep 26, 2013
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    World Bank (2013). Investment Climate Survey 2005 - China [Dataset]. https://microdata.worldbank.org/index.php/catalog/602
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    Dataset updated
    Sep 26, 2013
    Dataset authored and provided by
    World Bankhttps://www.worldbank.org/
    Time period covered
    2005
    Area covered
    China
    Description

    Abstract

    This research was conducted in China in 2005. Data from 12400 establishments were analyzed.

    The Investment Climate Surveys (ICS) were conducted by the World Bank and its partners across all geographic regions and covered firms of all sizes in many industries. The ICS collected a wide array of qualitative and quantitative information through face-to-face interviews with managers and owners regarding the investment climate in their country and the productivity of their firms. Topics covered in the ICS included the obstacles to doing business, infrastructure, finance, labor, corruption and regulation, contract enforcement, law and order, innovation and technology, and firm productivity. Taken together, the qualitative and quantitative data helped connect a country’s investment climate characteristics with firm productivity and performance.

    Firm-level surveys have been conducted since 1998 by different units within the World Bank. Since 2005-06, most data collection efforts have been centralized within the Enterprise Analysis Unit (FPDEA). Enterprise Surveys, a replacement for Investment Climate Surveys, are now conducted by the Enterprise Analysis Unit.

    Geographic coverage

    National

    Kind of data

    Sample survey data [ssd]

    Mode of data collection

    Face-to-face [f2f]

    Research instrument

    The current survey instrument is available: - Investment Climate Survey.

  3. t

    Data from: American Time Use Survey, 2005

    • thearda.com
    Updated Dec 15, 2005
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    U.S. Bureau of Labor Statistics (2005). American Time Use Survey, 2005 [Dataset]. http://doi.org/10.17605/OSF.IO/CNEK8
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    Dataset updated
    Dec 15, 2005
    Dataset provided by
    The Association of Religion Data Archives
    Authors
    U.S. Bureau of Labor Statistics
    Dataset funded by
    U.S. Bureau of Labor Statistics
    Description

    The "https://www.bls.gov/tus/" Target="_blank">American Time Use Survey (ATUS) is the nation's first federally administered, continuous survey on time use in the United States. The goal of the survey is to measure how people divide their time among life's activities. In the ATUS, individuals are randomly selected from a subset of households that have completed their eighth and final month of interviews for the "https://www.census.gov/programs-surveys/cps.html" Target="_blank">Current Population Survey (CPS). ATUS respondents are interviewed only one time about how they spent their time on the previous day, where they were and whom they were with. The survey is sponsored by the "https://www.bls.gov/home.htm" Target="_blank">Bureau of Labor Statistics and is conducted by the "https://www.census.gov/" Target="_blank">U.S. Census Bureau. The data file available for download from the ARDA combines two files from the 2005 ATUS: the Respondent file and the Activity summary file.

  4. 2005 American Community Survey: 1-Year Estimates - Public Use Microdata...

    • s.cnmilf.com
    • catalog.data.gov
    Updated Sep 4, 2023
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    U.S. Census Bureau (2023). 2005 American Community Survey: 1-Year Estimates - Public Use Microdata Sample [Dataset]. https://s.cnmilf.com/user74170196/https/catalog.data.gov/dataset/2005-american-community-survey-1-year-estimates-public-use-microdata-sample
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    Dataset updated
    Sep 4, 2023
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Description

    The American Community Survey (ACS) Public Use Microdata Sample (PUMS) contains a sample of responses to the ACS. The ACS PUMS dataset includes variables for nearly every question on the survey, as well as many new variables that were derived after the fact from multiple survey responses (such as poverty status).Each record in the file represents a single person, or, in the household-level dataset, a single housing unit. In the person-level file, individuals are organized into households, making possible the study of people within the contexts of their families and other household members. Individuals living in Group Quarters, such as nursing facilities or college facilities, are also included on the person file. ACS PUMS data are available at the nation, state, and Public Use Microdata Area (PUMA) levels. PUMAs are special non-overlapping areas that partition each state into contiguous geographic units containing roughly 100,000 people each. ACS PUMS files for an individual year, such as 2020, contain data on approximately one percent of the United States population

  5. 2005-2009 American Community Survey 5-Year Estimates

    • s.cnmilf.com
    • catalog.data.gov
    Updated Jul 19, 2023
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    U.S. Census Bureau (2023). 2005-2009 American Community Survey 5-Year Estimates [Dataset]. https://s.cnmilf.com/user74170196/https/catalog.data.gov/dataset/2005-2009-american-community-survey-5-year-estimates
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    Dataset updated
    Jul 19, 2023
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Description

    The American Community Survey (ACS) is an ongoing survey that provides data every year -- giving communities the current information they need to plan investments and services. The ACS covers a broad range of topics about social, economic, demographic, and housing characteristics of the U.S. population. Summary files include the following geographies: nation, all states (including DC and Puerto Rico), all metropolitan areas, all congressional districts (114th congress), all counties, all places, and all tracts and block groups. Summary files contain the most detailed cross-tabulations, many of which are published down to block groups. The data are population and housing counts. There are over 64,000 variables in this dataset.

  6. Global Land Survey 2005

    • data.nasa.gov
    • data.staging.idas-ds1.appdat.jsc.nasa.gov
    • +2more
    Updated Mar 31, 2025
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    nasa.gov (2025). Global Land Survey 2005 [Dataset]. https://data.nasa.gov/dataset/global-land-survey-2005
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    Dataset updated
    Mar 31, 2025
    Dataset provided by
    NASAhttp://nasa.gov/
    Description

    Global Land Survey 2005 images were acquired from 2003 - 2008 by Landsat 7 ETM+, Landsat 5 Thematic Mapper (TM) and EO-1 ALI. The U.S. Geological Survey (USGS) and the National Aeronautics and Space Administration (NASA) collaborated on the creation of the global land datasets using Landsat data from 1972 through 2008. Each of these global datasets was created from the primary Landsat sensor in use at the time: the Multispectral Scanner (MSS) in the 1970s, the Thematic Mapper (TM) in 1990, the Enhanced Thematic Mapper Plus (ETM+) in 2000, and a combination of TM and ETM+, as well as EO-1 ALI data, in 2005.

  7. Annual Parole Survey, 2005

    • catalog.data.gov
    • icpsr.umich.edu
    Updated Mar 12, 2025
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    Bureau of Justice Statistics (2025). Annual Parole Survey, 2005 [Dataset]. https://catalog.data.gov/dataset/annual-parole-survey-2005
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    Dataset updated
    Mar 12, 2025
    Dataset provided by
    Bureau of Justice Statisticshttp://bjs.ojp.gov/
    Description

    The 2005 Annual Parole Survey provides a count of the total number of persons supervised in the community on January 1 and December 31, 2005, and a count of the number entering and leaving supervision during the year. The survey also provides counts of the number of parolees by certain characteristics, such as gender, race and Hispanic or Latino origin, supervision status, and type of offense. This survey covers all 50 states, the District of Columbia, and the Federal System.

  8. Enterprise Survey 2005 - Hungary

    • microdata.worldbank.org
    • dev.ihsn.org
    • +2more
    Updated Sep 26, 2013
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    Enterprise Survey 2005 - Hungary [Dataset]. https://microdata.worldbank.org/index.php/catalog/173
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    Dataset updated
    Sep 26, 2013
    Dataset provided by
    European Bank for Reconstruction and Developmenthttp://ebrd.com/
    World Bankhttps://www.worldbank.org/
    Time period covered
    2005
    Area covered
    Hungary
    Description

    Abstract

    This research was conducted in Hungary from March 10 to April 20, 2005, as part of the third round of the Business Environment and Enterprise Performance Survey. 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 survey topics include firm characteristics, information about sales/suppliers, competition, infrastructure services, judiciary/law enforcement collaboration, security, government policies/laws/regulations, financing, overall business environment, bribery, capacity utilization, performance and investment activities, and workforce composition.

    Geographic coverage

    National

    Analysis unit

    The primary sampling unit of the study is the establishment.

    Universe

    The manufacturing and services sectors are the primary business sectors of interest.

    Kind of data

    Sample survey data [ssd]

    Sampling procedure

    The information below is taken from "The Business Environment and Enterprise Performance Survey (BEEPS) 2005: A brief report on observations, experiences and methodology from the survey" prepared by Synovate, a research company that implemented BEEPS III instrument.

    The general targeted distributional criteria of the sample in BEEPS III countries were to be as follows:

    1) Coverage of countries: The BEEPS III instrument was to be administered to approximately 9,500 enterprises in 28 transition economies: 16 from CEEE (Albania, Bosnia and Herzegovina, Bulgaria, Croatia, Czech Republic, Estonia, FR Yugoslavia, FYROM, Hungary, Latvia, Lithuania, Poland, Romania, Slovak Republic, Slovenia and Turkey) and 12 from the CIS (Armenia, Azerbaijan, Belarus, Georgia, Kazakhstan, Kyrgyzstan, Moldova, Russia, Tajikistan, Turkmenistan, Ukraine and Uzbekistan).

    2) Sector: In each country, the sectoral composition of the sample in terms of manufacturing (including agro-processing) (1) versus services (including commerce) (2)was to be determined by their relative contribution to GDP. Firms that operate in sectors subject to government price regulation and prudential supervision, such as banking, electric power, rail transport, and water and waste water, were to be excluded from the design of the sample.

    3) Size: At least 10% of the sample was to be in the small (3) and 10% in the large size categories. Firms with only one employee or more than 10,000 employees were to be excluded.

    4) Ownership: At least 10% of the firms were to have foreign control (4) and 10% state control (4).

    5) Exporters: At least 10% of the firms were to be exporters (5), meaning that some significant share of their output is exported.

    6) Location: At least 10% of firms were to be in the category "small city/countryside" (6).

    7) BEEPS 2002 sample coverage: The BEEPS III survey instrument was to be administered to a given proportion of respondents who participated in BEEPS 2002 and had agreed in principle, at that time, to participate in future rounds of the BEEPS.

    Enterprises, which began operations in 2002, 2003 and 2004, were to be excluded from the survey.

    (1). Mining and quarrying (Section C: 10-14), Construction (Section F: 45), Manufacturing (Section D: 15-37) (2). Transportation, storage and communications (Section I: 60-64), Wholesale, retail, repairs (Section G: 50-52), Real estate, business services (Section K: 70-74), Hotels and restaurants (Section H: 55), Other community, social and personal activities (Section O: selected groups) (3). Small=2-49 employees, Medium=50-249, Large=250 - 9,999 (4). More than 50% shareholding (5). Exports 20% or more of total sales (6). Population under 50,000 inhabitants

    8) In addition to Main BEEPS sample an overlay of manufacturing firms ("Manufacturing overlay BEEPS") was added in seven countries: Kazakhstan, Armenia, Azerbaijan, Poland, Hungary, Romania and Moldova. This sample was to be distributed between at least 2 major industrial regions within each country.

    The survey was to be conducted among manufacturing enterprises only, operating within three sectors: garments, food processing and metal and machinery. The aim was to keep the sectoral composition as similar as possible across countries. Specifically, the sectors were to be constant at the 3-digit ISIC code. However, if it was not possible to obtain enough observations to complete the sampling overlay while limiting it to the 3-digit ISIC code, then firms could be selected from the sectors defined at the 2-digit level.

    The sample within each country was to be distributed evenly between manufacturing sectors.

    9) The following sources of information were used to prepare the sample frame for Hungary: Statistical Yearbook of Hungary (Central Statistical Office, 2002); D&B (Dun & Bradstreet) April 2004 database; Yellow Pages.

    Mode of data collection

    Face-to-face [f2f]

    Research instrument

    The current survey instruments are available: - Screener and Main Questionnaires

    The survey topics include firm characteristics, information about sales/suppliers, competition, infrastructure services, judiciary/law enforcement collaboration, security, government policies/laws/regulations, financing, overall business environment, bribery, capacity utilization, performance and investment activities, workforce composition.

    Cleaning operations

    Data entry and first checking and validation of the results were undertaken locally. Final checking and validation of the results were made at Synovate Head Office.

  9. w

    HIV/AIDS Indicator Survey 2005 - Guyana

    • microdata.worldbank.org
    • catalog.ihsn.org
    • +1more
    Updated Jun 16, 2017
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    Guyana Responsible Parenthood Association (2017). HIV/AIDS Indicator Survey 2005 - Guyana [Dataset]. https://microdata.worldbank.org/index.php/catalog/2850
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    Dataset updated
    Jun 16, 2017
    Dataset provided by
    Guyana Responsible Parenthood Association
    Ministry of Health
    Time period covered
    2005
    Area covered
    Guyana
    Description

    Abstract

    The 2005 Guyana HIV/AIDS Indicator Survey (GAIS) is the first household-based, comprehensive survey on HIV/AIDS to be carried out in Guyana. The 2005 GAIS was implemented by the Guyana Responsible Parenthood Association (GRPA) for the Ministry of Health (MoH). ORC Macro of Calverton, Maryland provided technical assistance to the project through its contract with the U.S. Agency for International Development (USAID) under the MEASURE DHS program. Funding to cover technical assistance by ORC Macro and for local costs was provided in their entirety by USAID/Washington and USAID/Guyana.

    The 2005 GAIS is a nationally representative sample survey of women and men age 15-49 initiated by MoH with the purpose of obtaining national baseline data for indicators on knowledge/awareness, attitudes, and behavior regarding HIV/AIDS. The survey data can be effectively used to calculate valuable indicators of the President’s Emergency Plan for AIDS Relief (PEPFAR), the Joint United Nations Program on HIV/AIDS (UNAIDS), the United Nations General Assembly Special Session (UNGASS), the United Nations Children Fund (UNICEF) Orphan and Vulnerable Children unit (OVC), and the World Health Organization (WHO), among others. The overall goal of the survey was to provide program managers and policymakers involved in HIV/AIDS programs with information needed to monitor and evaluate existing programs; and to effectively plan and implement future interventions, including resource mobilization and allocation, for combating the HIV/AIDS epidemic in Guyana.

    Other objectives of the 2005 GAIS include the support of dissemination and utilization of the results in planning, managing and improving family planning and health services in the country; and enhancing the survey capabilities of the institutions involved in order to facilitate the implementation of surveys of this type in the future.

    The 2005 GAIS sampled over 3,000 households and completed interviews with 2,425 eligible women and 1,875 eligible men. In addition to the data on HIV/AIDS indicators, data on the characteristics of households and its members, malaria, infant and child mortality, tuberculosis, fertility, and family planning were also collected.

    Geographic coverage

    National

    Analysis unit

    • Individuals;
    • Households.

    Kind of data

    Sample survey data [ssd]

    Sampling procedure

    The primary objective of the 2005 GAIS is to provide estimates with acceptable precision for important population characteristics such as HIV/AIDS related knowledge, attitudes, and behavior. The population to be covered by the 2005 GAIS was defined as the universe of all women and men age 15-49 in Guyana.

    The major domains to be distinguished in the tabulation of important characteristics for the eligible population are: • Guyana as a whole • The urban area and the rural area each as a separate major domain • Georgetown and the remainder urban areas.

    Administratively, Guyana is divided into 10 major regions. For census purposes, each region is further subdivided in enumeration districts (EDs). Each ED is classified as either urban or rural. There is a list of EDs that contains the number of households and population for each ED from the 2002 census. The list of EDs is grouped by administrative units as townships. The available demarcated cartographic material for each ED from the last census makes an adequate sample frame for the 2005 GAIS.

    The sampling design had two stages with enumeration districts (EDs) as the primary sampling units (PSUs) and households as the secondary sampling units (SSUs). The standard design for the GAIS called for the selection of 120 EDs. Twenty-five households were selected by systematic random sampling from a full list of households from each of the selected enumeration districts for a total of 3,000 households. All women and men 15-49 years of age in the sample households were eligible to be interviewed with the individual questionnaire.

    The database for the recently completed 2002 Census was used as a sampling frame to select the sampling units. In the census frame, EDs are grouped by urban-rural location within the ten administrative regions and they are also ordered in each administrative unit in serpentine fashion. Therefore, this stratification and ordering will be also reflected in the 2005 GAIS sample.

    Based on response rates from other surveys in Guyana, around 3,000 interviews of women and somewhat fewer of men expected to be completed in the 3,000 households selected.

    Several allocation schemes were considered for the sample of clusters for each urban-rural domain. One option was to allocate clusters to urban and rural areas proportionally to the population in the area. According to the census, the urban population represents only 29 percent of the population of the country. In this case, around 35 clusters out of the 120 would have been allocated to the urban area. Options to obtain the best allocation by region were also examined. It should be emphasized that optimality is not guaranteed at the regional level but the power for analysis is increased in the urban area of Georgetown by departing from proportionality. Upon further analysis of the different options, the selection of an equal number of clusters in each major domain (60 urban and 60 rural) was recommended for the 2005 GAIS. As a result of the nonproportionalallocation of the number of EDs for the urban-rural and regional domains, the household sample for the 2005 GAIS is not a self-weighted sample.

    The 2005 GAIS sample of households was selected using a stratified two-stage cluster design consisting of 120 clusters. The first stage-units (primary sampling units or PSUs) are the enumeration areas used for the 2002 Population and Housing Census. The number of EDs (clusters) in each domain area was calculated dividing its total allocated number of households by the sample take (25 households for selection per ED). In each major domain, clusters are selected systematically with probability proportional to size.

    The sampling procedures are more fully described in "Guyana HIV/AIDS Indicator Survey 2005 - Final Report" pp.135-138.

    Mode of data collection

    Face-to-face [f2f]

    Research instrument

    Two types of questionnaires were used in the survey, namely: the Household Questionnaire and the Individual Questionnaire. The contents of these questionnaires were based on model questionnaires developed by the MEASURE DHS program. In consultation with USAID/Guyana, MoH, GRPA, and other government agencies and local organizations, the model questionnaires were modified to reflect issues relevant to HIV/AIDS in Guyana. The questionnaires were finalized around mid-May.

    The Household Questionnaire was used to list all the usual members and visitors in the selected households. For each person listed, information was collected on sex, age, education, and relationship to the head of the household. An important purpose of the Household Questionnaire was to identify women and men who were eligible for the individual interview.

    The Household Questionnaire also collected non-income proxy indicators about the household's dwelling unit, such as the source of water; type of toilet facilities; materials used for the floor, roof and walls of the house; and ownership of various durable goods and land. As part of the Malaria Module, questions were included on ownership and use of mosquito bednets.

    The Individual Questionnaire was used to collect information from women and men age 15-49 years and covered the following topics: • Background characteristics (age, education, media exposure, employment, etc.) • Reproductive history (number of births and—for women—a birth history, birth registration, current pregnancy, and current family planning use) • Marriage and sexual activity • Husband’s background • Knowledge about HIV/AIDS and exposure to specific HIV-related mass media programs • Attitudes toward people living with HIV/AIDS • Knowledge and experience with HIV testing • Knowledge and symptoms of other sexually transmitted infections (STIs) • The malaria module and questions on tuberculosis

    Cleaning operations

    The processing of the GAIS questionnaires began in mid-July 2005, shortly after the beginning of fieldwork and during the first visit of the ORC Macro data processing specialist. Questionnaires for completed clusters (enumeration districts) were periodically submitted to GRPA offices in Georgetown, where they were edited by data processing personnel who had been trained specifically for this task. The concurrent processing of the data—standard for surveys participating in the DHS program—allowed GRPA to produce field-check tables to monitor response rates and other variables, and advise field teams of any problems that were detected during data entry. All data were entered twice, allowing 100 percent verification. Data processing, including data entry, data editing, and tabulations, was done using CSPro, a program developed by ORC Macro, the U.S. Bureau of Census, and SERPRO for processing surveys and censuses. The data entry and editing of the questionnaires was completed during a second visit by the ORC Macro specialist in mid-September. At this time, a clean data set was produced and basic tables with the basic HIV/AIDS indicators were run. The tables included in the current report were completed by the end of November 2005.

    Response rate

    • From a total of 3,055 households in the sample, 2,800 were occupied. Among these households, interviews were completed in 2,608, for a response rate of 93 percent. • A total of 2,776 eligible women were identified and

  10. r

    The Student SOM Survey 2005

    • researchdata.se
    Updated Oct 13, 2022
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    University of Gothenburg (2022). The Student SOM Survey 2005 [Dataset]. http://doi.org/10.5878/sc1b-yd41
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    (11441234), (1022062)Available download formats
    Dataset updated
    Oct 13, 2022
    Dataset authored and provided by
    University of Gothenburg
    Area covered
    Sweden
    Description

    This is the thirteenth study in the collection of Student-SOM surveys. The aim of these studies is to shed light on opinions and habits of the student generation of today. The questionnaire is mainly a replication of the questionnaire used in previous Student-SOM surveys.

    Purpose:

    To find out how students feel about their education and the social environment at the University of Gothenburg

  11. Continuous Household Survey, 2005-2006

    • beta.ukdataservice.ac.uk
    Updated 2006
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    Northern Ireland Statistics (2006). Continuous Household Survey, 2005-2006 [Dataset]. http://doi.org/10.5255/ukda-sn-5501-1
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    Dataset updated
    2006
    Dataset provided by
    UK Data Servicehttps://ukdataservice.ac.uk/
    DataCitehttps://www.datacite.org/
    Authors
    Northern Ireland Statistics
    Description

    The Continuous Household Survey (CHS) is one of the largest continuous surveys carried out in Northern Ireland. The survey is designed, conducted and analysed by the Central Survey Unit of the Northern Ireland Statistics and Research Agency (NISRA). It is based on a sample of the general population resident in private households and has been running since 1983. The Survey is designed to provide a regular source of information on a wide range of social and economic issues relevant to Northern Ireland. The CHS is an important source of information in Northern Ireland and is used by many Government departments and Agencies. Regular clients include the Departments of Enterprise, Trade and Investment, Culture Arts and Leisure, Regional Developments, Environment, Education, Employment and Learning and NISRA.

    Further information about the series, including methodology, may be found on the NISRA Central Survey Unit (CSU) Continuous Household Survey web pages.

  12. European Working Conditions Survey, 2005

    • beta.ukdataservice.ac.uk
    Updated 2022
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    Eurofound (2022). European Working Conditions Survey, 2005 [Dataset]. http://doi.org/10.5255/ukda-sn-5639-2
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    Dataset updated
    2022
    Dataset provided by
    UK Data Servicehttps://ukdataservice.ac.uk/
    DataCitehttps://www.datacite.org/
    Authors
    Eurofound
    Description

    The European Working Conditions Survey (EWCS) is conducted by Eurofound (the European Foundation for the Improvement of Living and Working Conditions). Since its launch in 1990, the EWCS has provided an overview of working conditions in Europe. The main objectives of the survey are to:

    • assess and quantify working conditions of both employees and the self-employed across Europe on a harmonised basis;
    • analyse relationships between different aspects of working conditions;
    • identify groups at risk and issues of concern as well as of progress;
    • monitor trends by providing homogeneous indicators on these issues; and
    • contribute to European policy development in particular on quality of work and employment issues.

    Themes covered include employment status, working time duration and organisation, work organisation, learning and training, physical and psychosocial risk factors, health and safety, work-life balance, worker participation, earnings and financial security, as well as work and health.

    The EWCS paints a wide-ranging picture of Europe at work across countries, occupations, sectors and age groups. Its findings highlight actions for policy actors to help them address the challenges facing Europe today. The EWCS is generally conducted once every five years, although an extra wave was conducted in 2001 to cover the new acceding and candidate EU countries. The survey is based on a questionnaire which is administered face-to-face to a random sample of 'persons in employment' (i.e. employees and the self-employed), representative of the working population in each EU country. An integrated dataset is also available (see SN 7363) which combines data from the first five waves of the survey in one file.

    Before working with the EWCS data, users are recommended to read the latest supplementary supporting documentation on the Eurofound European Working Conditions Survey webpages. Further information about the series can be found there, including methodological information, technical reports and reports on translation, sampling implementation, sampling evaluation and weighting, coding, quality control, quality assurance and other publications.

  13. i

    Multiple Indicator Cluster Survey 2005 - Georgia

    • datacatalog.ihsn.org
    • dev.ihsn.org
    • +2more
    Updated Mar 29, 2019
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    State Department of Statistics (2019). Multiple Indicator Cluster Survey 2005 - Georgia [Dataset]. https://datacatalog.ihsn.org/catalog/827
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    Dataset updated
    Mar 29, 2019
    Dataset provided by
    National Center for Disease Control
    State Department of Statistics
    Time period covered
    2005
    Area covered
    Georgia
    Description

    Abstract

    The Multiple Indicator Cluster Survey (MICS) is a household survey programme developed by UNICEF to assist countries in filling data gaps for monitoring human development in general and the situation of children and women in particular. MICS is capable of producing statistically sound, internationally comparable estimates of social indicators. The current round of MICS is focused on providing a monitoring tool for the Millennium Development Goals (MDGs), the World Fit for Children (WFFC), as well as for other major international commitments, such as the United Nations General Assembly Special Session (UNGASS) on HIV/AIDS and the Abuja targets for malaria.

    Survey Objectives The 2005 Georgia Multiple Indicator Cluster Survey has as its primary objectives: - To provide up-to-date information for assessing the situation of children and women in Georgia; - To furnish data needed for monitoring progress toward goals established in the Millennium Declaration, the goals of A World Fit For Children (WFFC), and other internationally agreed upon goals, as a basis for future action; - To contribute to the improvement of data and monitoring systems in Georgia and to strengthen technical expertise in the design, implementation, and analysis of such systems.

    Survey Content MICS questionnaires are designed in a modular fashion that can be easily customized to the needs of a country. They consist of a household questionnaire, a questionnaire for women aged 15-49 and a questionnaire for children under the age of five (to be administered to the mother or caretaker). Other than a set of core modules, countries can select which modules they want to include in each questionnaire.

    Survey Implementation The survey was carried out by the State Department of Statistics of Georgia and the National Centre for Disease Control of Georgia, with the support and assistance of UNICEF.

    Technical assistance and training for the MICS surveys is provided through a series of regional workshops, covering questionnaire content, sampling and survey implementation; data processing; data quality and data analysis; report writing and dissemination.

    Geographic coverage

    The survey is nationally representative and covers the whole of Georgia.

    Analysis unit

    Households (defined as a group of persons who usually live and eat together)

    De jure household members (defined as memers of the household who usually live in the household, which may include people who did not sleep in the household the previous night, but does not include visitors who slept in the household the previous night but do not usually live in the household)

    Women aged 15-49

    Children aged 0-4

    Universe

    The survey covered all de jure household members (usual residents), all women aged 15-49 years resident in the household, and all children aged 0-4 years (under age 5) resident in the household.

    Kind of data

    Sample survey data [ssd]

    Sampling procedure

    The principal objective of the sample design was to provide current and reliable estimates on a set of indicators covering the four major areas of the World Fit for Children declaration, including promoting healthy lives; providing quality education; protecting against abuse, exploitation and violence; and combating HIV/AIDS. The population covered by the 2005 MICS is defined as the universe of all women aged 15-49 and all children aged under 5. A sample of households was selected and all women aged 15-49 identified as usual residents of these households were interviewed. In addition, the mother or the caretaker of all children aged under 5 who were usual residents of the household were also interviewed about the child.

    The 2005 MICS collected data from a nationally representative sample of households, women and children. The primary focus of the 2005 MICS was to prodvide estimates of key population and health, education, child protection and HIV related indicators for the country as a whole, and for urban and rural areas separately. In additon, the sample was designed to provide estimates for each of the 11 regions for key indicators. Georgia is devided into 11 regions: Tbilisi, Kakheti, Mtskheta - Mtianeti, Shida Kartli, Kvemo Kartli, Samtskhe - Javakheti, Racha - Lechkhumi and Kvemo, Svaneti, Imereti, Guria, Samegrelo and Zemo Svaneti, Adjara. The sample frame for this survey was based on the list of enumeration areas developed from the 2002 population census.

    The primary sampling unit (PSU), the cluster for the 2005 MICS, is defined on the basis of the enumeration areas from the census frame. The minimum PSU size in Georgia is 11 households and the maximum PSU size is 188 households. The average PSU size is 70.8 households. While constructing the sampling frame the PSUs that are smaller then 30 households is merged with the neighbouring PSUs to achieve the minimum size of PSU equalling to 30 households. Although the original sample design for the Georgia MICS 2005 called for approximately 14000 households with an equal number of clusters (42) of households in each of the 11 regions, stratified into urban and rural areas, this sample design was changed to use a more complicated stratification design, with unequal numbers of clusters in each stratum. The rationale for this was for the selection to more closely follow the population distribution of the population.

    The sample was selected in four stages and in the first two stages, sample design was stratified according to 11 regions, 3 settlement types (Large town, Small town, and Village), and 4 geographic strata (Valley, Foothills, Mountain, and High mountain). This stratification was applied in all regions, except the city of Tbilisi where the region is stratified according to 10 districts. In total 49 separate strata were identified. The last two stages of the sample design were for the selection of clusters and households.

    First stage of sampling: The number of clusters based on sample size calculations was 467 and these were allocated to regions based on the cube root of the number of households in the region. Because the number of clusters for the Racha-Lechkumi region was small (12 clusters), it was decided to increase the number of clusters in that region by 8 for a total of 20 clusters in that region for a total of 475 clusters nationwide.

    Second stage of sampling: Within each region, another level of stratification was on a combination of the following: size of settlement (large town, small town, and village) and topography (valley, foothills, mountain, and mountain). The allocation of the number of clusters for a settlement/topography stratum was based on the square root of the number of households in each stratum. Some regions did not have each of the different size settlements or topography. Also, in Tbilisi, the Rayons (districts) were used for stratification.

    Third stage of sampling: Within each stratum, clusters were selected with probability proportional to population size (PPS).

    Fourth stage of sampling: Within each cluster, 30 households were systematically selected, resulting with 14,250 households.

    The Georgia Multiple Indicator Cluster Survey sample is not self-weighted. The basic weighting of the data has been done using the inverse of the probability of selection of each household.

    Following standard MICS data collection rules, if a household was actually more than one household when visited, then a) if the selected household contained two households, both were interviewed, or b) if the selected household contained 3 or more households, then only the household of the person named as the head was interviewd.

    No replacement of households was permitted in case of non-response or non-contactable households. Adjustments were made to the sampling weights to correct for non-response, according to MICS standard procedures.

    The sampling procedures are more fully described in the sampling design document and the sampling appendix of the final report.

    Sampling deviation

    No major deviations from the original sample design were made. All sample enumeration areas were accessed and successfully interviewed with good response rates.

    Mode of data collection

    Face-to-face [f2f]

    Research instrument

    The questionnaires for the Georgia MICS were structured questionnaires based on the MICS3 Model Questionnaire with some modifications and additions. A household questionnaire was administered in each household, which collected various information on household members including sex, age, relationship, and orphanhood status. The household questionnaire includes household listing, education, water and sanitation, household characteristics, child labour, child discipline, disability, and salt iodization.

    In addition to a household questionnaire, questionnaires were administered in each household for women age 15-49 and children under age five. For children, the questionnaire was administered to the mother or caretaker of the child.

    The women's questionnaire includes child mortality, maternal and newborn health, marriage and union, contraception, attitudes towards domestic violence, HIV knowledge, cigarette smoking, and hemoglobin test.

    The children's questionnaire includes birth registration and early learning, child development, breastfeeding, care of illness, immunization*, and anthropometry.

    The questionnaires are based on the MICS3 model questionnaire. From the MICS3 model English and Russian versions, the questionnaires were translated into Georgian and were pre-tested in Tbilisi and in Mtskheta-Mtianeti during September 2005. Based on the results of the pre-test, modifications were made to the wording and translation of the

  14. o

    Armenia - Demographic and Health Survey 2005 - Dataset - Data Catalog...

    • data.opendata.am
    Updated Jul 7, 2023
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    (2023). Armenia - Demographic and Health Survey 2005 - Dataset - Data Catalog Armenia [Dataset]. https://data.opendata.am/dataset/dcwb0047354
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    Dataset updated
    Jul 7, 2023
    Area covered
    Armenia
    Description

    The 2005 Armenia Demographic and Health Survey (2005 ADHS) is the second in a series of nationally representative sample surveys designed to provide information on population and health issues in Armenia. As in the 2000 ADHS, the primary goal of the 2005 survey was to develop a single integrated set of demographic and health data pertaining to the population of the Republic of Armenia. In addition to integrating measures of reproductive, child, and adult health, another feature of the 2005 ADHS survey is that the majority of data are presented at the marz (region) level.The 2005 ADHS was conducted by the National Statistical Service (NSS) and the MOH of the Republic of Armenia from September through December 2005. ORC Macro provided technical support for the survey through the MEASURE DHS project. MEASURE DHS is a worldwide project, sponsored by the United States Agency for International Development (USAID), with a mandate to assist countries in obtaining information on key population and health indicators. USAID/Armenia provided funding for the survey, while the United Nations Children’s Fund (UNICEF)/Armenia and the United Nations Population Fund (UNFPA)/Armenia supported the survey through in-kind contributions.The 2005 ADHS collected national- and regional-level data on fertility and contraceptive use, maternal and child health, adult health, and HIV/AIDS and other sexually transmitted diseases. The survey obtained detailed information on these issues from women of reproductive age and, on certain topics, from men as well. Data are presented by marz wherever sample size permits.The 2005 ADHS results are intended to provide the information needed to evaluate existing social programs and to design new strategies for improving the health of and health services for the people of Armenia. The 2005 ADHS also contributes to the growing international database on demographic and health-related variables.

  15. d

    Pelagic Longline Survey (2005)

    • catalog.data.gov
    • gimi9.com
    • +1more
    Updated Apr 1, 2024
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    (Custodian) (2024). Pelagic Longline Survey (2005) [Dataset]. https://catalog.data.gov/dataset/pelagic-longline-survey-2005
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    Dataset updated
    Apr 1, 2024
    Dataset provided by
    (Custodian)
    Description

    The Southeast Fisheries Science Center Mississippi Laboratories conducts standardized fisheries independent resource surveys in the Gulf of Mexico to provide abundance and distribution information to support regional and international stock assessments. A pilot pelagic longline survey was conducted in 2005 in the northern Gulf of Mexico. The objective of the survey was to examine the feasibility of using pelagic longline gear to collect fisheries independent data on stocks of offshore fishes and to establish protocols for future use of data. Additional objectives included examining the distribution and relative abundance of pelagic fishes in the region and to collect biological and environmental data.

  16. w

    Niger - Enterprise Survey 2005 - Dataset - waterdata

    • wbwaterdata.org
    Updated Mar 16, 2020
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    (2020). Niger - Enterprise Survey 2005 - Dataset - waterdata [Dataset]. https://wbwaterdata.org/dataset/niger-enterprise-survey-2005
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    Dataset updated
    Mar 16, 2020
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Niger
    Description

    The survey was conducted in Niger between in 2005. Data from 125 establishments were analyzed. The Enterprise Surveys are applied to a representative sample of firms in the non-agricultural economy. The sample is consistently defined in all countries and includes the entire manufacturing sector, the services sector, and the transportation and construction sectors. Public utilities, government services, health care, and financial services sectors are not included in the sample. Enterprise Surveys collect a wide array of qualitative and quantitative information through face-to-face interviews with firm managers and owners regarding the business environment in their countries and the productivity of their firms. The topics covered in Enterprise Surveys include the obstacles to doing business, infrastructure, finance, labor, corruption and regulation, law and order, innovation and technology, trade, and firm productivity.

  17. e

    Neighbourhood Survey, 2005 - Dataset - B2FIND

    • b2find.eudat.eu
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    Neighbourhood Survey, 2005 - Dataset - B2FIND [Dataset]. https://b2find.eudat.eu/dataset/43fe594e-4124-5ec3-b993-ec079f4dccd2
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    Description

    Abstract copyright UK Data Service and data collection copyright owner. The main aim of this study was to provide a set of self-administered questions that would produce comparable data to interviewer-administered questions on social capital. There is a demand for these questions at the local level but local authorities tend to have insufficient resources to carry out face-to-face surveys, consequently most local authority surveys are carried out by post. In order to assess any differences between the self-administered format and the interviewer-administered format, the postal survey was run in parallel with the interviewer-administered survey, also held at the UK Data Archive (UKDA) under SN 5656 ONS Omnibus Survey, Social Capital Module, April, May and June, 2005 . Main Topics: The survey contains data collected on adults aged 18 and over living in private households in Great Britain. A postal questionnaire was sent to one named person per household. The questionnaire contained questions on social capital including: views about your neighbourhoodparticipation in local issuescontact with relatives, friends and neighboursunpaid help to groups and individualsclassification variables

  18. w

    Multiple Indicator Cluster Survey 2005 - Jamaica

    • microdata.worldbank.org
    • catalog.ihsn.org
    Updated Sep 26, 2013
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    Statistical Institute Of Jamaica (2013). Multiple Indicator Cluster Survey 2005 - Jamaica [Dataset]. https://microdata.worldbank.org/index.php/catalog/17
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    Dataset updated
    Sep 26, 2013
    Dataset authored and provided by
    Statistical Institute Of Jamaica
    Time period covered
    2005 - 2006
    Area covered
    Jamaica
    Description

    Abstract

    The Multiple Indicator Cluster Survey (MICS) is a household survey programme developed by UNICEF to assist countries in filling data gaps for monitoring human development in general and the situation of children and women in particular. MICS is capable of producing statistically sound, internationally comparable estimates of social indicators. The current round of MICS is focused on providing a monitoring tool for the Millennium Development Goals (MDGs), the World Fit for Children (WFFC), as well as for other major international commitments.

    Survey Objectives The 2005 Jamaica Multiple Indicator Cluster Survey has as its primary objectives: - To provide up-to-date information for assessing the situation of children and women in Jamaica. - To furnish data needed for monitoring progress toward goals established by the Millennium Development Goals, the goals of A World Fit For Children (WFFC), and other internationally agreed upon goals, as a basis for future action; - To contribute to the improvement of data and monitoring systems in Jamaica and to strengthen technical expertise in the design, implementation, and analysis of such systems.

    Survey Content MICS questionnaires are designed in a modular fashion that can be easily customized to the needs of a country. They consist of a household questionnaire, a questionnaire for women aged 15-49 and a questionnaire for children under the age of five (to be administered to the mother or caretaker). Other than a set of core modules, countries can select which modules they want to include in each questionnaire.

    Survey Implementation The survey was carried out by STATIN with the support and assistance of UNICEF and other partners. Technical assistance and training for the surveys is provided through a series of regional workshops, covering questionnaire content, sampling and survey implementation; data processing; data quality and data analysis; report writing and dissemination.

    Geographic coverage

    The survey is nationally representative and covers the whole of Jamaica.

    Analysis unit

    Households (defined as a group of persons who usually live and eat together)

    De jure household members (defined as members of the household who usually live in the household, which may include people who did not sleep in the household the previous night, but does not include visitors who slept in the household the previous night but do not usually live in the household)

    Women aged 15-49

    Children aged 0-4

    Universe

    The survey covered all de jure household members (usual residents), all women aged 15-49 years resident in the household, and all children aged 0-4 years (under age 5) resident in the household.

    Kind of data

    Sample survey data [ssd]

    Sampling procedure

    The sample for the Jamaica Multiple Indicator Cluster Survey (MICS) was designed to provide estimates on a large number of indicators on the situation of children and women at the national level, as well as urban and rural areas. Parishes were identified as the main sampling domains and were divided into sampling regions of equal sizes. The sample was selected in two stages. Within each sampling region, two census enumeration areas/Primary Sampling Units (PSUs) were selected with probability proportional to size. Using the household listing from the selected PSUs a systematic sample of 6,276 dwellings was drawn.

    The sampling procedures are more fully described in the the sampling appendix (appendix A) of the final report.

    Sampling deviation

    Five of the selected enumeration areas were not visited because they were inaccessible due to flooding during the fieldwork period. Sample weights were used in the calculation of national level results.

    Mode of data collection

    Face-to-face [f2f]

    Research instrument

    The questionnaires for the Jamaica MICS were structured questionnaires based on the MICS3 Model Questionnaire with some modifications and additions. A household questionnaire was administered in each household, which collected various information on household members including sex, age, relationship, and orphanhood status. The household questionnaire includes support to orphaned and vulnerable children, education, child labour, water and sanitation, and salt iodization, with optional modules for child discipline, child disability and security of tenure and durability of housing. In addition to a household questionnaire, questionnaires were administered in each household for women age 15-49 and children under age five. For children, the questionnaire was administered to the mother or caretaker of the child. The women's questionnaire include women's characteristics, child mortality, tetanus toxoid, maternal and newborn health, marriage, contraception, and HIV/AIDS knowledge, with optional modules for unmet need, domestic violence, and sexual behavior. The children's questionnaire includes children's characteristics, birth registration and early learning, vitamin A, breastfeeding, care of illness, malaria, immunization, and an optional module for child development. All questionnaires and modules are provided as external resources.

    Cleaning operations

    Data editing took place at a number of stages throughout the processing (see Other processing), including: a) Office editing and coding b) During data entry c) Structure checking and completeness d) Secondary editing e) Structural checking of SPSS data files

    Detailed documentation of the editing of data can be found in the data processing guidelines

    Response rate

    In the 6,276 dwellings selected for the sample, 5,604 households were found to be occupied (Table HH.1). Of these, 4,767 were successfully interviewed for a household response rate of 85.1 percent. The reason for this lower response rate is given in the previous section. In the interviewed households, 3,777 women (age 15-49) were identified. Of these, 3,647 were successfully interviewed, yielding a response rate of 96.6 percent. In addition, 1,444 children under age five were listed in the household questionnaire. Of these, questionnaires were completed for 1,427 which correspond to a response rate of 98.8 percent.

    Overall response rates of 82.1 and 84.1 percent were calculated for the women's and under-5's interviews respectively. Note that the response rates for the Kingston Metropolitan Area (KMA) were lower than in other urban areas and in the rural area. Two factors contributed to this - more dwellings were vacant, often as a result of urban violence, and in the upper income areas access to dwellings was more difficult. In the rural areas, the rains prevented access to some households as some roads were inundated.

    Sampling error estimates

    Estimates from a sample survey are affected by two types of errors: 1) non-sampling errors and 2) sampling errors. Non-sampling errors are the results of mistakes made in the implementation of data collection and data processing. Numerous efforts were made during implementation of the 2005-2006 MICS to minimize this type of error, however, non-sampling errors are impossible to avoid and difficult to evaluate statistically.

    Sampling errors can be evaluated statistically. The sample of respondents to the 2005-2006 MICS is only one of many possible samples that could have been selected from the same population, using the same design and expected size. Each of these samples would yield results that differe somewhat from the results of the actual sample selected. Sampling errors are a measure of the variability in the results of the survey between all possible samples, and, although, the degree of variability is not known exactly, it can be estimated from the survey results. The sampling erros are measured in terms of the standard error for a particular statistic (mean or percentage), which is the square root of the variance. Confidence intervals are calculated for each statistic within which the true value for the population can be assumed to fall. Plus or minus two standard errors of the statistic is used for key statistics presented in MICS, equivalent to a 95 percent confidence interval.

    If the sample of respondents had been a simple random sample, it would have been possible to use straightforward formulae for calculating sampling errors. However, the 2005-2006 MICS sample is the result of a multi-stage stratified design, and consequently needs to use more complex formulae. The SPSS complex samples module has been used to calculate sampling errors for the 2005-2006 MICS. This module uses the Taylor linearization method of variance estimation for survey estimates that are means or proportions. This method is documented in the SPSS file CSDescriptives.pdf found under the Help, Algorithms options in SPSS.

    Sampling errors have been calculated for a select set of statistics (all of which are proportions due to the limitations of the Taylor linearization method) for the national sample, urban and rural areas, and for each of the five regions. For each statistic, the estimate, its standard error, the coefficient of variation (or relative error -- the ratio between the standard error and the estimate), the design effect, and the square root design effect (DEFT -- the ratio between the standard error using the given sample design and the standard error that would result if a simple random sample had been used), as well as the 95 percent confidence intervals (+/-2 standard errors).

    Details of the sampling errors are presented in the sampling errors appendix to the report and in the sampling errors table presented in te external resources.

    Data

  19. i

    Demographic and Health Survey 2005 - Egypt, Arab Rep.

    • datacatalog.ihsn.org
    • catalog.ihsn.org
    • +2more
    Updated Mar 29, 2019
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    Ministry of Health and Population (2019). Demographic and Health Survey 2005 - Egypt, Arab Rep. [Dataset]. https://datacatalog.ihsn.org/catalog/2541
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    Dataset updated
    Mar 29, 2019
    Dataset provided by
    El-Zanaty and Associates
    Ministry of Health and Population
    National Population Council
    Time period covered
    2005
    Area covered
    Egypt
    Description

    Abstract

    The 2005 EDHS is part of the worldwide MEASURE DHS project that provides estimates for key indicatrs such as fertility, contraceptive use, infant and child mortality, immunization levels, coverage of antenatal and delivery care, nutrition, and prevalence of anemia. In addition, the survey was designed to provide information on the prevalence of female circumcision, domestic violence, and children’s welfare. The survey results are intended to assist policymakers and planners in assessing the current health and population programs and in designing new strategies for improving reproductive health and health services in Egypt.

    Geographic coverage

    National

    Analysis unit

    • Household
    • Children under five years
    • Women age 15-49

    Kind of data

    Sample survey data

    Sampling procedure

    SAMPLE DESIGN

    The primary objective of the sample design for the 2005 EDHS was to provide estimates of key population and health indicators including fertility and child mortality rates for the country as a whole and for six major administrative regions (the Urban Governorates, urban Lower Egypt, rural Lower Egypt, urban Upper Egypt, rural Upper Egypt, and the Frontier Governorates). In addition, seven governorates targeted for special USAID-sponsored family planning and health initiatives were over sampled, namely: Fayoum, Beni-Suef, Menya, Qena, and Aswan in Upper Egypt, and Cairo and Alexandria.

    In the Urban Governorates, Lower Egypt, and Upper Egypt, the 2005 EDHS design allowed for governorate-level estimates of most of the key variables, with the exception of the fertility and mortality rates. In the Frontier Governorates, the sample size was not sufficiently large to provide separate estimates for the individual governorates. To meet the survey objectives, the number of households selected in the 2005 EDHS sample from each governorate was not proportional to the size of the population in the governorate. As a result, the 2005 EDHS sample is not self-weighting at the national level, and weights have to be applied to the data to obtain the national-level estimates presented in this report.

    SAMPLE SELECTION

    The sample for the 2005 EDHS was selected in three stages. The first stage included selecting the primary sampling units. The units of selection were shiakhas/towns in urban areas and villages in rural areas. A list of these units which was based on the 1996 census was updated to August 2004 using information obtained from CAPMAS, and this list was used in selecting the primary sampling units (PSUs). Prior to the selection of the PSUs, the frame was further reviewed to identify any administrative changes that had occurred after August 2004. The updating process included both office work and field visits during a one-month period. After it was completed, urban and rural units were separately stratified by geographical location in a serpentine order from the northwest corner to the southeast corner within each governorate. During this process, shiakhas or villages with a population less than 2,500 were grouped with contiguous shiakhas or villages (usually within the same kism or markaz) to form units with a population of at least 5,000. After the frame was ordered, a total of 682 primary sampling units (298 shiakhas/towns and 384 villages) were selected.

    The second stage of selection involved several steps. First, detailed maps of the PSUs chosen during the first stage were obtained and divided into parts of roughly equal population size (about 5,000). In shiakhas/towns or villages with a population of 20,000 or more, two parts were selected. In the remaining smaller shiakhas/towns or villages, only one part was selected. Overall, a total of 1,019 parts were selected from the shiakhas/towns and villages in the 2005 EDHS sample.

    A quick count was then carried out to provide an estimate of the number of households in each part. This information was needed to divide each part into standard segments of about 200 households. A group of 48 experienced field workers participated in the quick count operation. They were organized into 16 teams, each consisting of 1 supervisor, 1 cartographer and 1 counter. A one-week training course conducted prior to the quick count included both classroom sessions and two field practices in a shiakha/town and a village not covered in the survey. The quick-count operation took place between the end of October 2004 and January 2005.

    As a quality control measure, the quick count was repeated in 10 percent of the parts. If the difference between the results of the first and second quick count was less than 2 percent, then the first count was accepted. No major discrepancies were found between the two counts in most of the areas for which the count was repeated.

    After the quick count, a total of 1,359 segments were chosen from the parts in each shiakha/town and village in the 2005 EDHS sample (i.e., two segments were selected from each of the 682 PSUs with the exception of 5 PSUs for which only one segment was selected). A household listing operation was then implemented in each of the selected segments. To conduct this operation, 13 supervisors and 26 listers were organized into 13 teams. Generally, each listing team consisted of a supervisor and two listers. A one-week training course for the listing staff was held in mid-January 2005. The training involved classroom lectures and two days of field practice in three urban and rural locations not covered in the survey. The listing operation took place during a five-week period, beginning immediately after the training.

    About 10 percent of the segments were relisted. Two criteria were used to select segments for relisting. First, segments were relisted when the number of households in the listing differed markedly from that expected according to the quick count information. Second, a number of segments were randomly selected to be relisted as an additional quality control test. No major discrepancies were found in comparisons of the listings.

    The third stage involved selecting the household sample. Using the household listing for each segment, a systematic random sample of households was selected for the 2005 EDHS sample. All ever-married women 15-49 who were usual residents or who were present in the sampled households on the night before the interview were eligible for the EDHS

    Note: See detailed description of sample design in APPENDIX B of the report which is presented in this documentation.

    Mode of data collection

    Face-to-face

    Research instrument

    The 2005 EDHS involved two questionnaires: a household questionnaire and an individual questionnaire. The questionnaires were based on the model survey instruments developed by MEASURE DHS+ for countries with high contraceptive prevalence. Questions on a number of topics not covered in the DHS model questionnaires were also included in the 2005 EDHS questionnaires. In some cases, those items were drawn from the questionnaires used for earlier rounds of the DHS in Egypt. In other cases, the questions were intended to collect information on new topics.

    The household questionnaire consisted of three parts: a household schedule, a series of questions related to the socioeconomic status of the household, height and weight measurement, and anemia testing. The household schedule was used to list all usual household members and visitors and to identify those present in the household during the night before the interviewer’s visit. For each of the individuals included in the schedule, information was collected on the relationship to the household head, age, sex, marital status (for those 15 years and older), educational attainment, repetition and dropout (for those 6-24 years), attendance of pre-school programs (for those 3-5 years old), and child labor (for those 6-14 years). The second part of the household questionnaire obtained information on characteristics of the physical and social environment of the household (e.g., type of dwelling, availability of electricity, source of drinking water, household possessions, and the type of salt the household used for cooking). Height and weight measurements were obtained and recorded in the last part of the household questionnaire for ever-married women age 15-49 years, children born since January 2000, and never-married adolescents age 10-19 years. In a subsample of one-third of households, all eligible women, all children born since January 2000, and all adolescents age 10-19 years were eligible for anemia testing.

    The individual questionnaire was administered to all ever-married women age 15-49 who were usual residents or who were present in the household during the night before the interviewer’s visit. It obtained information on the following topics: • Respondent’s background • Reproduction • Contraceptive knowledge and use • Fertility preferences and attitudes about family planning • Pregnancy and breastfeeding • Immunization and child health • Husband’s background and women’s work • Female circumcision • Health care access and other health concerns • HIV/AIDS and other sexually transmitted infections • Mother and child nutrition.

    In addition, a domestic violence section was administered to women in the subsample of households selected for the anemia testing. One eligible woman was selected randomly from each of the households in the subsample to be asked the domestic violence section.

    The individual questionnaire included a monthly calendar, which was used to record a history of the respondent’s marriage status, fertility, contraceptive use including the source where the method was obtained, and the reason for discontinuation for each segment of use during each month of an

  20. i

    Reproductive Health Survey 2005 - Lao PDR

    • catalog.ihsn.org
    • datacatalog.ihsn.org
    • +1more
    Updated Mar 29, 2019
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    Department of Statistics (DoS) (2019). Reproductive Health Survey 2005 - Lao PDR [Dataset]. https://catalog.ihsn.org/index.php/catalog/195
    Explore at:
    Dataset updated
    Mar 29, 2019
    Dataset authored and provided by
    Department of Statistics (DoS)
    Time period covered
    2005
    Area covered
    Lao PDR
    Description

    Abstract

    The purpose of the Lao Reproductive Health Survey 2005 is to provide up to date information on the demographic situation and reproductive health knowledge and practices such as: levels, preferences and determinants of fertility; contraceptive knowledge, prevalence and unmet needs; antennal care, place of delivery and type of assistant during birth; breast feeding practices; and knowledge of sexually transmitted infection (STIs) and HIV/AIDS.

    Geographic coverage

    National

    Analysis unit

    • Households
    • Women 15 to 49 years old
    • Men 15 to 49 years old

    Universe

    All private households, all women aged 15-49 in private households, and all men aged 15-59 year old in private households.

    Kind of data

    Sample survey data [ssd]

    Sampling procedure

    Coverage and Sample Design

    The LRHS 2005 is a nationally representative sample survery, with 21 600 household chosen as respondents, from which eligible women aged 15 to 49 years and men aged 15 to 59 years, regardless of their marital status, were selected for detailed interview. A two-stage stratified cluster sample covering 16 provinces, the capital and special zone was applied in survey. The 2005 census household list was used as the sampling frame.

    The first stage of sample selection was to select 40 sample villages, using SPPS method. The second stage was to select households in the villages selected in the first stage. Within each selected villages, a fixed number of 30 households were selected using systematic random sampling. Thus, each province had about 1 200 households for the 2005 survey. The sampling covered Urban and Rural areas.

    Mode of data collection

    Face-to-face [f2f]

    Research instrument

    The survey questionnaires used in the LRHS 2005 are almost identical to the LRHS 2000. The earlier survey questionnaires were adapted from the 1994 Lao Fertility and Spacing Survey and the 1997 Mongolia Reproductive Health Survey. In many ways, the questionnaires resemble the International Standard of the Demographic and Health Surveys (DHS). The questionnaires have been adjusted for the local situation.

    As with the earlier survey, the LRHS 2005 questionnaires consist of three different parts, which are the: - Household Questionnaire, - Women’s Questionnaire and - Men’s Questionnaire.

    Response rate

    Response rate for households, women and men are relatively high and close to 100 percent.

    Sampling error estimates

    Refer to Sampling design (Social Statistics Division, DoS).

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European Bank for Reconstruction and Development (2022). Enterprise Survey 2005 - Turkiye [Dataset]. https://microdata.worldbank.org/index.php/catalog/328
Organization logoOrganization logo

Enterprise Survey 2005 - Turkiye

Explore at:
Dataset updated
Jun 13, 2022
Dataset provided by
European Bank for Reconstruction and Developmenthttp://ebrd.com/
World Bankhttps://www.worldbank.org/
Time period covered
2005
Area covered
Türkiye
Description

Abstract

This research was conducted in Turkey from March 10 to April 20, 2005, as part of the third round of the Business Environment and Enterprise Performance Survey. 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 survey topics include firm characteristics, information about sales/suppliers, competition, infrastructure services, judiciary/law enforcement collaboration, security, government policies/laws/regulations, financing, overall business environment, bribery, capacity utilization, performance and investment activities, and workforce composition.

Geographic coverage

National

Analysis unit

The primary sampling unit of the study is the establishment.

Universe

The manufacturing and services sectors are the primary business sectors of interest.

Kind of data

Sample survey data [ssd]

Sampling procedure

The information below is taken from "The Business Environment and Enterprise Performance Survey (BEEPS) 2005: A brief report on observations, experiences and methodology from the survey" prepared by Synovate, a research company that implemented BEEPS III instrument.

The general targeted distributional criteria of the sample for BEEPS III countries were to be as follows:

1) Coverage of countries: The BEEPS III instrument was to be administered to approximately 9,500 enterprises in 28 transition economies: 16 from CEEE (Albania, Bosnia and Herzegovina, Bulgaria, Croatia, Czech Republic, Estonia, FR Yugoslavia, FYROM, Hungary, Latvia, Lithuania, Poland, Romania, Slovak Republic, Slovenia and Turkey) and 12 from the CIS (Armenia, Azerbaijan, Belarus, Georgia, Kazakhstan, Kyrgyzstan, Moldova, Russia, Tajikistan, Turkmenistan, Ukraine and Uzbekistan).

2) Sector: In each country, the sectoral composition of the sample in terms of manufacturing (including agro-processing) (1) versus services (including commerce) (2)was to be determined by their relative contribution to GDP. Firms that operate in sectors subject to government price regulation and prudential supervision, such as banking, electric power, rail transport, and water and waste water, were to be excluded from the design of the sample.

3) Size: At least 10% of the sample was to be in the small (3) and 10% in the large size categories. Firms with only one employee or more than 10,000 employees were to be excluded.

4) Ownership: At least 10% of the firms were to have foreign control (4) and 10% state control (4).

5) Exporters: At least 10% of the firms were to be exporters (5), meaning that some significant share of their output is exported.

6) Location: At least 10% of firms were to be in the category "small city/countryside" (6).

7) BEEPS 2002 sample coverage: The BEEPS III survey instrument was to be administered to a given proportion of respondents who participated in BEEPS 2002 and had agreed in principle, at that time, to participate in future rounds of the BEEPS.

Enterprises, which began operations in 2002, 2003 and 2004, were to be excluded from the survey.

(1). Mining and quarrying (Section C: 10-14), Construction (Section F: 45), Manufacturing (Section D: 15-37) (2). Transportation, storage and communications (Section I: 60-64), Wholesale, retail, repairs (Section G: 50-52), Real estate, business services (Section K: 70-74), Hotels and restaurants (Section H: 55), Other community, social and personal activities (Section O: selected groups) (3). Small=2-49 employees, Medium=50-249, Large=250 - 9,999 (4). More than 50% shareholding (5). Exports 20% or more of total sales (6). Population under 50,000 inhabitants

8) The following sources of information were used to prepare the sample frame for Turkey: General Census of Industry and Business Establishments; Data from the State Institute of Statistics.

Mode of data collection

Face-to-face [f2f]

Research instrument

The current survey instruments are available:

  • Screener and Main Questionnaires.

The survey topics include firm characteristics, information about sales/suppliers, competition, infrastructure services, judiciary/law enforcement collaboration, security, government policies/laws/regulations, financing, overall business environment, bribery, capacity utilization, performance and investment activities, and workforce composition.

Cleaning operations

Data entry and first checking and validation of the results were undertaken locally. Final checking and validation of the results were made at Synovate Head Office.

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