These polls are part of a continuing series of surveys that solicit public opinion on the presidency and on a range of other social and political issues. Respondents were asked to give their opinions of President Ronald Reagan and his handling of the presidency, foreign policy, and the economy. Each file contains a set of unique questions pertaining to broader social issues, such as childrearing and victimization. These national surveys were administered by telephone to respondents selected from eligible household members. In Part 1, January 1981, respondents were asked for their views on President Reagan's likely performance as President with respect to economic and foreign affairs, the release of hostages from Iran, the federal budget, and whether funding should be increased or decreased for certain federal programs. Questions about busing to achieve school integration were also included. For Part 2, April 1981, respondents were asked to evaluate President Reagan's current and future performances in economic and foreign affairs. They were also asked about tax cuts, the federal budget, women's rights, El Salvador, Poland, handguns, and Japanese cars. For Part 3, June 1981, respondents were asked to evaluate Reagan's performance as president, and to comment on their general life satisfaction, their confidence in government institutions, their views on crime, whether they voted in the 1980 presidential election, Social Security revisions, and several issues regarding foreign affairs, including military rule in Poland. In Part 4, June 1981, Social Security, respondents gave their views on the Social Security system and how proposed changes affected them. Respondents were also queried for their views on childrearing, punishment of juvenile crime, and who should have custody of children in divorce situations. For Part 5, September 1981, respondents evaluated President Reagan's performance in economic and foreign affairs, and also provided their opinions on environment issues and on various economic proposals, including the Reagan administration's proposed tax cut.

Abstract copyright UK Data Service and data collection copyright owner. The British National Surveys of Sexual Attitudes and Lifestyles (Natsal) are some of the largest and most detailed studies of sexual attitudes and behaviour in the world. This open access teaching dataset contains data from Natsal-3, which interviewed 15,162 adults aged 16-74 in 2010-2012. The data are taken from the original Natsal-3 study accessible via the UK Data Service, held under SN 7799. To make the data accessible for teaching via an open data licence, a subset of variables and cases has been selected. Some demographic variables have also been recoded and a new continuous variable measuring attitudes towards sexual behaviours has been created. Main Topics: The open access dataset contains variables covering the following topics: attitudes towards sexual lifestyles and behaviours such as adultery, same sex relationships, and sex in the media health/mental health and disability religion and religious beliefs relationships status additional demographic attributes Multi-stage stratified random sample Compilation/Synthesis

The East Asian Social Survey (EASS) is a biennial social survey project that serves as a cross-national network of the following four General Social Survey type surveys in East Asia: Chinese General Social Survey (CGSS), Japanese General Social Survey (JGSS), Korean General Social Survey (KGSS), Taiwan Social Change Survey (TSCS), and comparatively examines diverse aspects of social life in these regions. Survey information in this module focused on issues that affected overall health, such as specific conditions, physical functioning, aid received from family members or friends when needed, and lifestyle choices. Topics included activities respondents were able to perform and how they were affected socially in light of specific physical and mental health conditions. Respondents were asked to provide health conditions they were suffering from, such as hypertension, diabetes, heart disease, and how these conditions were limiting with respect to general health, physical functioning, emotional and mental health, as well as social functioning. Other topics included participation and frequency of lifestyle habits that affected overall health, as well as how often respondents visited the doctor. Respondents were also queried on whether they sought out alternative, non-traditional homeopathic care and whether family, friends, or co-workers listened to their personal problems and provided support financially. Additional topics include the environment and pollution, neighborhood amenities, fear of aging, addiction, and body image. Demographic information specific to the respondent and their spouse includes age, sex, marital status, education, employment status and hours worked, occupation, earnings and income, religion, class, size of community, and region.

This study utilized: a national survey of law enforcement officials; a national survey of criminal justice faculty; a survey of criminal justice students at Arizona State University, Kutztown University, Michigan State University, and Sam Houston State University; four separate surveys of a small expert panel; and mini-case studies to investigate issues associated with police human resource management and planning, such as recruitment, selection, training, and promotion.

The purpose of this study was to assess the physical, social, and psychological well-being of American children, to develop a national profile of the way children in the United States live, to permit analysis of the relationships between the conditions of children's lives and measures of child development, and to examine the effects of marital disruption on the development of children and on the operation of single and multi-parent families. Information is provided on the child's well-being, family, experiences with family disruption, behavior, physical health, and mental health.

Since 2013, the Robert Wood Johnson Foundation (RWJF) has led the development of a pioneering national action framework to advance a "culture that enables all in our diverse society to lead healthier lives now and for generations to come." Accomplishing these principles requires a national paradigm shift from a traditionally disease and health care-centric view of health toward one that focuses on well-being. Recognizing that paradigm shifts require intentional actions, RWJF worked with RAND researchers to design an actionable path to fulfill the Culture of Health (CoH) vision. A central piece of this work is the development of measures to assess constructs underlying a CoH. The National Survey of Health Attitudes is a survey that RWJF and RAND analysts developed and conducted as part of the foundation's CoH strategic framework. The foundation undertook this survey to measure key constructs that could not be measured in other data sources. Thus, the survey was not meant to capture the full action framework that informs CoH, but rather just selected measure areas. The questions in this survey primarily addressed the action area: making health a shared value. The survey covers a variety of topics, including views regarding what factors influence health, such as the notion of health interdependence (peer, family, neighborhood, and workplace drivers of health), values related to national and community investment for health and well-being; behaviors around health and well-being, including civic engagement on behalf of health, and the role of community engagement and sense of community in relation to health attitudes and values. This study includes the results from the 2018 RWJF National Survey of Health Attitudes. This 2018 survey is considered the second wave, the first wave of the survey was conducted in 2015 (ICPSR 37405). In 2018, the study team fielded an updated version that included many of the same questions but added some new constructs that were of interest as part of the larger Culture of Health effort. This study complements the overview of the 2015 survey described in the RAND report Development of the Robert Wood Johnson Foundation National Survey of Health Attitudes (Carman et al., 2016).

The National Survey of Family Growth (NSFG) is designed and administered by the National Center for Health Statistics (NCHS), an agency of the U.S. Department of Health and Human Services, in collaboration with several other federal agencies (see Acknowledgements). Since the NSFG began in 1973, there have been eight data release files. The purpose of the survey is to produce national estimates of:

-Factors affecting pregnancy, including sexual activity, contraceptive use, and infertility;
-The medical care associated with contraception, infertility, and childbirth;
-Factors affecting marriage, divorce, cohabitation, and adoption;
-Adoption and caring for nonbioogical children
-Father involvement behaviors, and
-Men's and women's attitudes about sex, childbearing, and marriage.

The survey contains key religion variables that may relate to these topics. The survey results are used by the U.S. Department of Health and Human Services and other research and policy organizations to plan health services and health education programs, and to do statistical studies on the topics listed above.

For the 2011-2013 NSFG, statistical design, interviewing, and data processing have been conducted by the University of Michigan's Institute for Social Research (ISR), under a contract with the National Center for Health Statistics (NCHS), in collaboration with the NCHS NSFG. William Mosher served as Project Officer and Joyce Abma as Alternate Project Officer for the 2011-2013 data collection.

The 2006-2010 NSFG survey represents a shift from periodic surveys to continuous interviewing, with interviews being conducted 48 weeks of every year for four years. This public use data file contains all interviews conducted from June 2006-June 2010. In-person interviews were conducted with 12,279 women 15-44 years of age and 10,403 men 15-44 years of age for a total sample size of 22,682.

The National Survey of Children's Exposure to Violence (NatSCEV) is a nationwide study to document the incidence and prevalence of children's exposure to violence in the United States. NatSCEV is a comprehensive assessment of exposure to violence that incorporates a wide range of victimization experiences and that include children across a wide developmental spectrum. A variety of potential predictors and outcomes of children's exposure to violence are measured.

As bisexual individuals in the United States (U.S.) face significant health disparities, researchers have posited that these differences may be fueled, at least in part, by negative attitudes, prejudice, stigma, and discrimination toward bisexual individuals from heterosexual and gay/lesbian individuals. Previous studies of individual and social attitudes toward bisexual men and women have been conducted almost exclusively with convenience samples, with limited generalizability to the broader U.S. population. Our study provides an assessment of attitudes toward bisexual men and women among a nationally representative sample of heterosexual, gay, lesbian, and “other”-identified adults in the U.S. Data were collected from the 2015 National Survey of Sexual Health and Behavior (NSSHB), via an online questionnaire with a probability sample of adults (18 and over) from throughout the U.S. We included two modified 5-item versions of the Bisexualities: Indiana Attitudes Scale (BIAS), validated sub-scales that were developed to measure attitudes toward bisexual men and women. Data were analyzed using descriptive statistics, gamma regression, and paired t-tests. Gender, sexual identity, age, race/ethnicity, income, and educational attainment were all significantly associated with participants' attitudes toward bisexual individuals. In terms of responses to individual scale items, participants were most likely to “neither agree nor disagree” with attitudinal statements. Across sexual identities, self-identified "other" participants reported the most positive attitudes, while heterosexual male participants reported the least positive attitudes. Overall, attitudes toward bisexual men were significantly less positive than toward bisexual women across identities. As in previous research on convenience samples, we found a wide range of demographic characteristics were related with attitudes toward bisexual individuals in our nationally-representative study of heterosexual, gay/lesbian, and "other"-identified adults in the U.S. Additionally, as in previous studies, gender emerged as a significant characteristic; female participants’ attitudes were more positive than male participants’ attitudes, and all participants’ attitudes were generally more positive toward bisexual women than bisexual men. While population data suggest a marked shift in more positive attitudes toward gay men and lesbian women in the general population of the U.S., the largest proportions of participants in our study reported a relative lack of agreement or disagreement with the affective-evaluative statements in the BIAS scales. Findings document the absence of positive attitudes toward bisexual individuals among the general population of adults in the U.S. Our findings highlight the need for developing intervention approaches to promote more positive attitudes toward bisexual individuals, targeted toward not only heterosexual and but also gay/lesbian individuals and communities.

The National Survey on Drug Use and Health (NSDUH) provides national and state-level data on the use of tobacco, alcohol, illicit drugs (including non-medical use of prescription drugs) and mental health in the United States. This annual survey involves interviews with approximately 70,000 randomly selected individuals. The survey cohort consists of U.S. civilian, noninstitutionalized population aged 12 years and older and includes residents in group quarters such as college dormitories, group homes, shelters, rooming houses, and military bases. Interviews are conducted in participants’ homes facilitated via the use of Computer Assisted Interviewing (CAI). NSDUH is sponsored by the Substance Abuse and Mental Health Services Administration (SAMHSA), an agency of the U.S. Public Health Service in the U.S. Department of Health and Human Services (DHHS).

The National Child Development Study (NCDS) is a continuing longitudinal study that seeks to follow the lives of all those living in Great Britain who were born in one particular week in 1958. The aim of the study is to improve understanding of the factors affecting human development over the whole lifespan.

The NCDS has its origins in the Perinatal Mortality Survey (PMS) (the original PMS study is held at the UK Data Archive under SN 2137). This study was sponsored by the National Birthday Trust Fund and designed to examine the social and obstetric factors associated with stillbirth and death in early infancy among the 17,000 children born in England, Scotland and Wales in that one week. Selected data from the PMS form NCDS sweep 0, held alongside NCDS sweeps 1-3, under SN 5565.

Survey and Biomeasures Data (GN 33004):
To date there have been ten attempts to trace all members of the birth cohort in order to monitor their physical, educational and social development. The first three sweeps were carried out by the National Children's Bureau, in 1965, when respondents were aged 7, in 1969, aged 11, and in 1974, aged 16 (these sweeps form NCDS1-3, held together with NCDS0 under SN 5565). The fourth sweep, also carried out by the National Children's Bureau, was conducted in 1981, when respondents were aged 23 (held under SN 5566). In 1985 the NCDS moved to the Social Statistics Research Unit (SSRU) - now known as the Centre for Longitudinal Studies (CLS). The fifth sweep was carried out in 1991, when respondents were aged 33 (held under SN 5567). For the sixth sweep, conducted in 1999-2000, when respondents were aged 42 (NCDS6, held under SN 5578), fieldwork was combined with the 1999-2000 wave of the 1970 Birth Cohort Study (BCS70), which was also conducted by CLS (and held under GN 33229). The seventh sweep was conducted in 2004-2005 when the respondents were aged 46 (held under SN 5579), the eighth sweep was conducted in 2008-2009 when respondents were aged 50 (held under SN 6137), the ninth sweep was conducted in 2013 when respondents were aged 55 (held under SN 7669), and the tenth sweep was conducted in 2020-24 when the respondents were aged 60-64 (held under SN 9412).

A Secure Access version of the NCDS is available under SN 9413, containing detailed sensitive variables not available under Safeguarded access (currently only sweep 10 data). Variables include uncommon health conditions (including age at diagnosis), full employment codes and income/finance details, and specific life circumstances (e.g. pregnancy details, year/age of emigration from GB).

Four separate datasets covering responses to NCDS over all sweeps are available. National Child Development Deaths Dataset: Special Licence Access (SN 7717) covers deaths; National Child Development Study Response and Outcomes Dataset (SN 5560) covers all other responses and outcomes; National Child Development Study: Partnership Histories (SN 6940) includes data on live-in relationships; and National Child Development Study: Activity Histories (SN 6942) covers work and non-work activities. Users are advised to order these studies alongside the other waves of NCDS.

From 2002-2004, a Biomedical Survey was completed and is available under End User Licence (EUL) (SN 8731) and Special Licence (SL) (SN 5594). Proteomics analyses of blood samples are available under SL SN 9254.

Linked Geographical Data (GN 33497):
A number of geographical variables are available, under more restrictive access conditions, which can be linked to the NCDS EUL and SL access studies.

Linked Administrative Data (GN 33396):
A number of linked administrative datasets are available, under more restrictive access conditions, which can be linked to the NCDS EUL and SL access studies. These include a Deaths dataset (SN 7717) available under SL and the Linked Health Administrative Datasets (SN 8697) available under Secure Access.

Multi-omics Data and Risk Scores Data (GN 33592)
Proteomics analyses were run on the blood samples collected from NCDS participants in 2002-2004 and are available under SL SN 9254. Metabolomics analyses were conducted on respondents of sweep 10 and are available under SL SN 9411.

Additional Sub-Studies (GN 33562):
In addition to the main NCDS sweeps, further studies have also been conducted on a range of subjects such as parent migration, unemployment, behavioural studies and respondent essays. The full list of NCDS studies available from the UK Data Service can be found on the NCDS series access data webpage.

How to access genetic and/or bio-medical sample data from a range of longitudinal surveys:
For information on how to access biomedical data from NCDS that are not held at the UKDS, see the CLS Genetic data and biological samples webpage.

Further information about the full NCDS series can be found on the Centre for Longitudinal Studies website.

NCDS 37-Year Sample Survey (basic skills):
This NCDS sample survey was conducted in 1995, between the fifth (NCDS5) and sixth (NCDS6) full follow-up surveys of the NCDS cohort (NCDS5 was conducted in 1991 and NCDS6 in 1999-2000). The 1995 survey aimed to collect details about cohort members' basic skills. It was designed to supplement the information on self-reported literacy and numeracy problems gathered during the NCDS4 (conducted in 1981) and NCDS5 follow-ups, with objective assessments of skills in these areas. It provides for a detailed analysis of the extent, antecedents and correlates of basic skills in the NCDS cohort. See documentation for further details.

The full NCDS4 survey is held at the UK Data Archive under SN 5566, NCDS5 under SN 5567, and NCDS6 under SN 5578.

For the third edition (August 2008), the serial number has been replaced with a new one, variable Ncdsid. This change has been made for all datasets in the NCDS series. Further information may be found in the ‘CLS Confidentiality and Data Security Review’, included in the documentation.

State estimates for these years are no longer available due to methodological concerns with combining 2019 and 2020 data. We apologize for any inconvenience or confusion this may causeBecause of the COVID-19 pandemic, most respondents answered the survey via the web in Quarter 4 of 2020, even though all responses in Quarter 1 were from in-person interviews. It is known that people may respond to the survey differently while taking it online, thus introducing what is called a mode effect.When the state estimates were released, it was assumed that the mode effect was similar for different groups of people. However, later analyses have shown that this assumption should not be made. Because of these analyses, along with concerns about the rapid societal changes in 2020, it was determined that averages across the two years could be misleading.For more detail on this decision, see the 2019-2020state data page.

Plant occurrence data from the 6-7th National Survey on the Natural Environment: Vegetation Survey conducted by Ministry of Environment, Japan.

The 2019 National Survey of Early Care and Education (2019 NSECE) is a set of four nationally-representative integrated surveys conducted in 2019 of 1) households with children under age 13, 2) home-based early care and education (ECE) providers, 3) center-based ECE providers, and 4) the center-based ECE provider workforce. Together these four surveys characterize the supply of and demand for ECE in the United States and create a better understanding of how well families' needs and preferences coordinate with providers' offerings and constraints. The NSECE surveys make particular effort to measure the experiences of low-income families, as these families are the focus of a significant component of ECE and school-age public policy. The NSECE was first conducted in 2012. Before that effort, there had been a 20-year long absence of nationally representative data on the use and availability of ECE in the United States. The NSECE was conducted again in 2019 to update the information from 2012 and shed light on how the ECE and school-age care landscape changed from 2012 to 2019. The 2019 NSECE followed a similar design as the 2012 survey, including surveying households with children under age 13, home-based providers, center-based providers, and staff working in center-based classrooms. The 2019 NSECE was funded by the Office of Planning, Research, and Evaluation (OPRE) in the Administration for Children and Families (ACF), United States Department of Health and Human Services (HHS). The project team was led by NORC at the University of Chicago, with partners Chapin Hall at the University of Chicago and Child Trends, as well as other collaborating individuals and organizations. Restricted-Use Data Files The 2019 NSECE quick tabulation and public-use files are currently available via this site. The Level 1 restricted-use files that supplement the public-use data are also available through ICPSR (see National Survey of Early Care and Education (NSECE) Level 1 Restricted-Use Files, [United States], 2019 (ICPSR 38445)). Level 2 and Level 3 restricted-use files are available via the National Opinion Research Center (NORC). For more information, please see the instructions for NSECE Levels 2/3 Restricted-Use Data. For additional information about this study, please see: NSECE project page on the OPRE website NSECE study page on NORC's website NSECE Data Users Page For quick links to the PDF manuals (for the Quick Tabulation Files) and user's guides (for the Public-Use Files), please visit the Data Training Resources from the NSECE page. In addition, users can select "Documentation Only" from the Download tab on this study homepage to download all NSECE documentation in one zip file. Researchers interested in applying for the Restricted-Use Data Files are encouraged to read the user's guides before completing their application.

Abstract

The UNPS aims at producing annual estimates in key policy areas; and providing a platform for experimenting with and assessing national policies and programs. Explicitly, the objectives of the UNPS include: 1. To provide information required for monitoring the National Development Strategy, of major programs such as National Agricultural Advisory Services (NAADS) and General Budget Support, and also to provide information for the compilation of the National Accounts (e.g. agricultural production); 2. To provide high quality nationally representative information on income dynamics at the household level as well as information on service delivery and consumption expenditure estimates annually; to monitor poverty and service outcomes in interim years of other national survey efforts, such as the Uganda National Household Survey (UNHS), Uganda Demographic and Health Survey (UDHS) and National Service Delivery Surveys (NSDS); 3. To provide a framework for low-cost experimentation with different policy interventions to e.g. reduce teacher absenteeism, improve ante-natal and post-natal care, and assess the effect of subsidies on agricultural inputs among others; 4. To provide a framework for policy oriented analysis and capacity building substantiated with the UGDR and support to other research which feed into the Annual Policy Implementation Review; and 5. To facilitate randomized impact evaluations of interventions whose effects cannot currently be readily assessed through the existing system of national household surveys.

Analysis unit

The study describes (including but not limited to): - Household - Individual - Parcel - Plot - Community

Kind of data

Sample survey data [ssd]

Sampling procedure

The UNPS is carried out over a twelve-month period (a “wave”) on a nationally representative sample of households, for the purpose of accommodating the seasonality associated with the composition of and expenditures on consumption. The survey is conducted in two visits in order to better capture agricultural outcomes associated with the two cropping seasons of the country. The UNPS therefore interviews each household twice in a year, in visits approximately six months apart. In 2009/10, the UNPS set out to track and interview 3,123 households that were distributed over 322 Enumeration Areas (EAs), selected out of 783 EAs that had been visited during the Uganda National Household Survey (UNHS) in 2005/06. The distribution of the EAs covered by the 2009/10 UNPS was such that it included all 34 EAs in Kampala District, and 72 EAs (58 rural and 14 urban) in each of the other regions i.e. Central excluding Kampala, Eastern, Western and Northern which make up the strata. Within each stratum, the EAs were selected with equal probability with implicit stratification by urban/rural and district (in this order). However, the probabilities of selection for the rural portions of ten districts that had been oversampled by the UNHS 2005/06 were adjusted accordingly. Since most IDP (Internally Displaced People) camps in the Northern region are currently unoccupied, the EAs that constituted IDP camps were not part of the UNPS sample. This allocation allows for reliable estimates at the national, rural-urban and regional levels i.e. at level of strata representativeness which includes: (i) Kampala City, (ii) Other Urban Areas, (iii) Central Rural, (iv) Eastern Rural, (v) Western Rural, and (vi) Northern Rural. In the UNPS 2010/11, the concept of Clusters instead of EAs was introduced. A cluster represents a group of households that are within a particular geographical area up to parish level. This was done due to split-off households that fell outside the selected EAs but could still be reached and interviewed if they still resided within the same parish as the selected EA. Consequently, in each subsequent survey wave, a subset of individuals was selected for tracking. The UNPS is part of the long term Census and Household Survey Program hence questionnaires and the timing of data collection are coordinated with the current surveys and census implemented by UBOS. SAMPLE REFRESH Starting with the UNPS 2013/14 (Wave 4) fieldwork, one third of the initial UNPS sample was refreshed with the intention to balance the advantages and shortcomings of panel surveys. Each new household will be visited for three consecutive waves, while baseline households will have a longer history of five or six years, given the start time of the sample refresh. This same sample was used for the UNPS 2015/16 (Wave 5) Once a steady state is reached, each household will be visited for three consecutive years, and at any given time one third of the households will be new, one third will be visited for the second time, and one third for the third (and last) time. The total sample will never be too different from a representative cross-section of the country, yet two-thirds of it will be a panel with a background of a year or two. New households were identified using the updated sample frames developed by the UBOS in 2013 as part of the preparations for the 2014 Uganda Population and Housing Census.

Mode of data collection

Computer Assisted Personal Interview [capi]

Research instrument

The UNPS had six questionnaires namely: Household Questionnaire; Woman Questionnaire; Agriculture & Livestock Questionnaire; Fisheries Questionnaire; Community Questionnaire and Market Questionnaire. A module on Biological data collection was also administered in 2019/20. Each of these questionnaires is divided into a number of sections and the number of questions in each section varies accordingly. It should be noted that in 2013/14, 2015/16, 2018/19, and 2019/20, all questionnaires were administered using the CAPI software .

Abstract

Niger is part of the Living Standards Measurement Study - Integrated Surveys on Agriculture (LSMS-ISA) program. This program has developed a household level survey with a view to enhancing our knowledge of agriculture in Sub-Saharan Africa, in particular, its role in poverty reduction and the techniques for promoting efficiency and innovation in this sector. To achieve this objective, an innovative model for agricultural data collection in this region will need to be developed and implemented. To this end, activities conducted in the future will be supported by four main pillars - a multisectoral framework, institutional integration, analytical capacity building, and active dissemination.

• First, agricultural statistical data collection must be part of an expanded and multisectoral framework that goes beyond the rural area. This will facilitate generation of the data needed to formulate effective agricultural policies throughout Niger and in the broader framework of the rural economy.

• Second, agricultural statistical data collection must be supported by a well-adapted institutional framework suited to fostering collaboration and the integration of data sources. By supporting a multi-pronged approach to data collection, this project seeks to foster intersectoral collaboration and overcome a number of the current institutional constraints.

• Third, national capacity building needs to be strengthened in order to enhance the reliability of the data produced and strengthen the link between the producers and users of data. This entails having the capacity to analyze data and to produce appropriate public data sets in a timely manner. The lack of analytical expertise in developing countries perpetuates weak demand for statistical data.

• Consequently, the foregoing has a negative impact on the quality and availability of policy-related analyses. Scant dissemination of statistics and available results has compounded this problem.

In all countries where the LSMS-ISA project will be executed, the process envisioned for data collection will be a national household survey, based on models of LSMS surveys to be conducted every three years for a panel of households. The sampling method to be adopted should ensure the quality of the data, taking into account the depth/complexity of the questionnaire and panel size, while ensuring that samples are representative.

The main objectives of the ECVM/A are to:

• Gauge the progress made with achievement of the Millennium Development Goals (MDGs);

• Facilitate the updating of the social indicators used in formulating the policies aimed at improving the living conditions of the population;

• Provide data related to several areas that are important to Niger without conducting specific surveys on individual topics ;

• Provide data on several important areas for Niger that are not necessarily collected in other more specific surveys.

Geographic coverage

The ECVM/A 2014 is a panel survey with the ECVM/A 2011. The ECVM/A 2011 was designed to have national coverage, including both urban and rural areas in all the regions of the country. The domains are defined as the entire country, the city of Niamey; and other urban areas, rural areas, and in the rural areas, agricultural zones, agro-pastoral zones and pastoral zones.

Analysis unit

• Individuals

• Households

Kind of data

Sample survey data [ssd]

Sampling procedure

2011 Survey

The ECVM/A 2011 was been designed to have national coverage, including both urban and rural areas in all the regions of the country. The domains are defined as the entire country, the city of Niamey; and other urban areas, rural areas, and in the rural areas, agricultural zones, agro-pastoral zones and pastoral zones. Taking this into account, 26 explicit sampling strata were selected: Niamey, and urban, agriculture, agro-pastoral and pastoral zones of the seven regions other than Niamey. The target population was drawn from households in all 8 regions of the country with the exception of certain strata found in Arlit (Agadez Region) because of difficulties in going there, the very low population density, and collective housing. The portion of the population excluded from the sample represents less than 0.4% of the total population of Niger. Of a total of 36,000 people not included in the sample design, about 29,000 live in Arlit and 7,000 in collective housing.

The sample was chosen through a random two stage process:

• In the first stage a certain number of Enumeration Areas (known as Zones de Dénombrement or ZDs) was selected with Probability Proportional to Size (PPS) using the 2001 General Census of Population and Housing as the base for the sample, and the number of households as a measure of size.

• In the second stage, 12 or 18 households were selected with equal probability in each urban or rural ZD respectively. The base for the sample was an exhaustive listing of households that would be done before the start of the survey.

The total estimated size of the 2011 sample was 4,074 households. The fact that this was the first survey with panel households to be revisited in the future was taken into account in the design, making it possible to lose households between the two surveys with minimal adverse effects on the analyses.

2014 Survey

The ECVM/A 2014 is a panel survey with the ECVM/A 2011. All households are identified by three variables - GRAPPE, MENAGE and EXTENSION. GRAPPE is the cluster in which the household is located and MENAGE is the household number within that cluster. The GRAPPE and MENAGE identifiers of the households in 2014 are identical with the grappe and menage identifiers in 2011.

In the ECVM/A 2014, all households that had been interviewed in 2011 were tracked. Households that did not move were interviewed in their existing location. Households that had moved to other locations in Niger were followed and interviewed in their new locations if they could be found in the new location. Households that moved outside of Niger were not followed. Households are identified by the GRAPPE and MENAGE identifiers from 2011 even if they moved to a new location.

Individuals who moved from households, for example women who married and moved to their husband's household or men who moved out to form their own household, were also tracked. In the new location, the individual and all members in the new household were supposed to be interviewed. However in the final data set it is difficult to determine among the households of tracked individuals which one was in the original household and which are the new participants in the survey. While the GRAPPE and MENAGE are identical between the 2011 household and the movers from the 2014 survey, the individual identifiers within the household cannot be matched for these households.

Households that did not move are identified as code "0" in the variable EXTENSION. Households that moved as an entire household are identified as code "1" in variable EXTENSION. Households with an individual who moved from an original household and resided in a new household in 2014 are identified as code "2" in variable EXTENSION.

Within households, individuals should have the same identification numbers as they had in 2011. The variable MS01Q00 in the 2014 data contains the individual identification number within the household. In 2011, the variable is ms01q00. The identification numbers for members who left the household between 2011 and 2014 should not be found in the 2014 data. Their identification numbers should not have been reassigned to any other members. New members who joined the household after the 2011 survey will have identification numbers starting after the highest identification number found in the 2011 data. It is always possible that there were mistakes made in the identification of individuals in the households and the data may not be perfectly matched.

The households that moved maintain the GRAPPE (cluster) and MENAGE (household within the cluster) identification information from 2011 so that they can be matched back to information from the 2011 survey. They may have moved to a different region in the country, but are identified with their original location.

Mode of data collection

Face-to-face [f2f]

Research instrument

HOUSEHOLD QUESTIONNAIRES - FIRST VISIT

The ECVM/A involves two visits, which means that each household is visited twice. The first visit takes place during the planting season. The second visit takes place during the harvest season. The household and agriculture/livestock, as well as the community/price questionnaire are administered during the first visit. During the second visit, the household and agriculture/livestock questionnaires are administered in full, but the community questionnaire only collects price information.

The household questionnaire comprises 18 sections, not including the cover page which covers information of a general nature (identity, name of household head) and Section 0 which covers detailed information on household identification and the results of the survey. In the first visit, 16 of the sections were administered.

• Section 1 focuses on the socio-demographic characteristics of household members (gender, age, relations with household head, survival of relations);

• Sections 2 and 3 focus respectively on the education and health of household members;

• Section 4 focuses on the characteristics of the labor market and seeks to determine whether the subject is inactive (retirees, for example), unemployed or employed; and in the case of those in employment, to identify the characteristics of their employment (socio-professional category, seniority, working hours,

The National Survey of Tribal Court Systems (NSTCS) is the first complete enumeration of tribal court systems operating in the United States and gathers administrative and operational information from tribal court systems, prosecutors' offices, and indigent defense providers operating in the United States. The NSTCS helps fulfill BJS's legislative mandate under the Tribal Law and Order Act of 2010 (TLOA; P.L. 111-211, 124 Stat. 2258 § 251(b)) to establish and implement a tribal crime data collection system. Data for the NSTCS were collected by Kauffman & Associates, Inc., an American Indian- and woman-owned management consulting firm, in collaboration with the Tribal Law and Policy Institute. The National Survey of Tribal Court Systems (NSTCS) consists of three surveys specific to tribal court systems in the lower 48 states, Alaska Native villages, and the Code of Federal Regulations Courts (CFR Courts) operated by the Bureau of Indian Affairs (BIA). Due to data collection challenges and the limited number of Alaska Native villages and CFR Courts that participated in this collection, the Tribal Courts in United States, 2014, report, data file and documentation include information only on tribal court systems in the lower 48 states. Data for the 2014 NSTCS were collected through mail, email, and telephone nonresponse follow-up. Data on the number and type of tribal court systems were obtained from all eligible federally recognized tribes. The final universe of eligible respondents in the lower 48 states included 234 tribal court systems, of which 196 (83.8%) participated in the survey.

The American Trends Panel (ATP), created by "https://www.pewresearch.org/" Target="_blank">Pew Research Center, is a nationally representative panel of randomly selected U.S. adults. Panelists participate via self-administered web surveys. Panelists who do not have internet access at home are provided with a tablet and wireless internet connection. Interviews are conducted in both English and Spanish. The panel is being managed by "https://www.ipsos.com/en" Target="_blank">Ipsos. The ATP Wave 113 is the 2022 National Survey of Latinos (NSL).

The "https://www.pewresearch.org/global/2022/10/17/us-germany-summer-2022-methodology/#american-trends-panel-wave-113-survey-methodology" Target="_blank">ATP Wave 113 was conducted from August 1 to 14, 2022 and included oversamples of Hispanic, Asian and Black adults, as well as 18-29 year old Republicans and Republican leaning independents in order to provide more precise estimates of the opinions and experiences of these smaller demographic subgroups. These oversampled groups are weighted back to reflect their correct proportions in the population. A total of 7,647 panelists responded out of 13,221 who were sampled for a response rate of 65 percent. This included 6,025 respondents from the ATP and an oversample of 1,622 Hispanic respondents from Ipsos' KnowledgePanel. The cumulative response rate accounting for nonresponse to the recruitment surveys and attrition is 3 percent. The break-off rate among panelists who logged on to the survey and completed at least one item is 1 percent. The margin of sampling error for the full sample of 7,647 respondents is plus or minus 1.7 percentage points.

Online survey