The Longitudinal Social Protection Survey harmonized database contains individual information from Chile, Colombia, El Salvador, Paraguay and Uruguay. It has 320 variables, and 120 of them can be compared in all countries.

The phase-3 program was implemented across 75 Female sex worker (FSW) Community-led organizations (COs) and covered more than 1,00,000 FSWs across five states of India (Andhra Pradesh, Telangana, Karnataka, Maharashtra, and Tamil Nadu). The main focus of Avahan-III is to reduce the vulnerabilities (including HIV risk) among FSWs by improving the access to financial security, social protection services, and to make the COs strong and sustainable. The longitudinal survey (2015-2017) was designed to measure different vulnerabilities and capture the key behavioral indicators (e.g. HIV risk behaviors, social protection, financial security, violence, institutional development etc.) among FSWs at the initiation of the program (2015) and after the completion of the program (2017). The eligibility criteria for inclusion in the study was, women, aged 18 or above, who engaged in consensual sex in exchange of money/payment in kind in the last one month. Along with the FSWs longitudinal study, COs level study was also done and information on COs was collected at two-time points (e.g. Baseline (2015) and Endline (2017)) among 38 FSWs COs, who have implemented the Avahn-3 program.

Abstract

Nigeria was among the first few countries in Sub-Saharan Africa to identify cases of COVID-19. Reported cases and fatalities have been increasing since it was first identified. The government implemented strict measures to contain the spread of this virus (such as travel restrictions, school closures and home-based work). While the Government is implementing these containment measures, it is important to understand how households in the country are affected and responding to the evolving crises, so that policy responses can be designed well and targeted effectively to reduce the negative impacts on household welfare.

The objective of Nigeria COVID-19 NLPS is to monitor the socio-economic effects of this evolving COVID-19 pandemic in real time. These data will contribute to filling critical gaps in information that could be used by the Nigerian government and stakeholders to help design policies to mitigate the negative impacts on its population. The Nigeria COVID-19 NLPS is designed to accommodate the evolving nature of the crises, including revision of the questionnaire on a monthly basis.

The households were drawn from the sample of households interviewed in 2018/2019 for Wave 4 of the General Household Survey—Panel (GHS-Panel). The extensive information collected in the GHS-Panel just over a year prior to the pandemic provides a rich set of background information on the Nigeria COVID-19 NLPS households which can be leveraged to assess the differential impacts of the pandemic in the country.

Each month, the households will be asked a set of core questions on the key channels through which individuals and households are expected to be affected by the COVID-19-related restrictions. Food security, employment, access to basic services, coping strategies, and non-labour sources of income are channels likely to be impacted. The core questionnaire is complemented by questions on selected topics that rotate each month. This provides data to the government and development partners in near real-time, supporting an evidence-based response to the crisis.

Geographic coverage

National

Analysis unit

• Households
• Individuals

Universe

The survey covered all de jure households excluding prisons, hospitals, military barracks, and school dormitories.

Kind of data

Sample survey data [ssd]

Sampling procedure

Wave 4 of the GHS-Panel conducted in 2018/19 served as the frame for the Nigeria COVID-19 NLPS survey. The GHS-Panel sample includes 4,976 households that were interviewed in the post-harvest visit of the fourth wave in January/February 2019. This sample of households is representative nationally as well as across the 6 geopolitical Zones that divide up the country. In every visit of the GHS-Panel, phone numbers are collected from interviewed households for up to 4 household members and 2 reference persons who are in close contact with the household in order to assist in locating and interviewing households who may have moved in subsequent waves of the survey. This comprehensive set of phone numbers as well as the already well-established relationship between NBS and the GHS-Panel households made this an ideal frame from which to conduct the COVID-19 monitoring survey in Nigeria.

Among the 4,976 households interviewed in the post-harvest visit of the GHS-Panel in 2019, 4,934 (99.2%) provided at least one phone number. Around 90 percent of these households provided a phone number for at least one household member while the remaining 10 percent only provided a phone number for a reference person. Households with only the phone number of a reference person were expected to be more difficult to reach but were nonetheless included in the frame and deemed eligible for selection for the Nigeria COVID-19 NLPS.

To obtain a nationally representative sample for the Nigeria COVID-19 NLPS, a sample size of approximately 1,800 successfully interviewed households was targeted. However, to reach that target, a larger pool of households needed to be selected from the frame due to non-contact and non-response common for telephone surveys. Drawing from prior telephone surveys in Nigeria, a final contact plus response rate of 60% was assumed, implying that the required sample households to contact in order to reach the target is 3,000.

3,000 households were selected from the frame of 4,934 households with contact details. Given the large amount of auxiliary information available in the GHS-Panel for these households, a balanced sampling approach (using the cube method) was adopted. The balanced sampling approach enables selection of a random sample that still retains the properties of the frame across selected covariates. Balancing on these variables results in a reduction of the variance of the resulting estimates, assuming that the chosen covariates are correlated with the target variable. Calibration to the balancing variables after the data collection further reduces this variance (Tille, 2006). The sample was balanced across several important dimensions: state, sector (urban/rural), household size, per capita consumption expenditure, household head sex and education, and household ownership of a mobile phone.

Mode of data collection

Computer Assisted Telephone Interview [cati]

Research instrument

BASELINE (ROUND 1): One questionnaire, the Household Questionnaire, was administered to all households in the sample. The Household Questionnaire provides information on demographics; knowledge regarding the spread of COVID-19; behaviour and social distancing; access to basic services; employment; income loss; food security; concerns; coping/shocks; and social safety nets.

ROUND 2: One questionnaire, the Household Questionnaire, was administered to all households in the sample. The Household Questionnaire provides information on demographics; access to basic goods and services; employment (including non-farm enterprise and agricultural activity); other income; food security; and social safety nets.

ROUND 3: One questionnaire, the Household Questionnaire, was administered to all households in the sample. The Household Questionnaire provides information on demographics; access to basic goods and services; housing; employment (including non-farm enterprise and agricultural activity); other income; coping/shocks; and social safety nets.

ROUND 4: One questionnaire, the Household Questionnaire, was administered to all households in the sample. The Household Questionnaire provides information on demographics; access to basic goods and services; credit; employment (including non-farm enterprise, crop farming and livestock); food security; income changes; concerns; and social safety nets.

ROUND 5: One questionnaire, the Household Questionnaire, was administered to all households in the sample. The Household Questionnaire provides information on demographics; education; employment (including non-farm enterprise and agricultural activity); and other income.

ROUND 6: One questionnaire, the Household Questionnaire, was administered to all households in the sample. The Household Questionnaire provides information on demographics; education; employment (including non-farm enterprise); COVID testing and vaccination; and other income.

ROUND 7: One questionnaire, the Household Questionnaire, was administered to all households in the sample. The Household Questionnaire provides information on demographics; access to basic services; employment (including non-farm enterprise); food security; concerns; and safety nets.

ROUND 8: One questionnaire, the Household Questionnaire, was administered to all households in the sample. The Household Questionnaire provides information on demographics; employment (including non-farm enterprise and agriculture); and coping/shocks.

ROUND 9: One questionnaire, the Household Questionnaire, was administered to all households in the sample. The Household Questionnaire provides information on demographics; education; early childhood development, access to basic services, employment (including non-farm enterprise and agriculture); and income changes.

ROUND 10: One questionnaire, the Household Questionnaire, was administered to all households in the sample. The Household Questionnaire provides information on demographics; access to basic services; employment (including non-farm enterprise and agricultural activity); concerns and COVID testing and vaccination.

ROUND 11: One questionnaire, the Household Questionnaire, was administered to all households in the sample. The Household Questionnaire provides information on demographics; credit; access to basic services; education; employment (including non-farm enterprise); safety nets; youth contact details; and phone signal.

ROUND 12: One questionnaire, the Household Questionnaire, was administered to all households in the sample. The Household Questionnaire provides information on youth aspirations and employment; and COVID vaccination.

Cleaning operations

COMUPTER ASSISTED TELEPHONE INTERVIEW (CATI): The Nigeria COVID-19 NLPS exercise was conducted using Computer Assisted Telephone Interview (CATI) techniques. The household questionnaire was implemented using the CATI software, Survey Solutions. The Survey Solutions software was developed and maintained by the Data Analytics and Tools Unit within the Development Economics Data Group (DECDG) at the World Bank. Each interviewer was given two tablets, which they used to conduct the interviews. Overall, implementation of survey using Survey Solutions CATI was highly successful, as it allowed for timely availability of the data from completed interviews.

DATA COMMUNICATION SYSTEM: The data communication

The National Longitudinal Survey of Children and Youth (NLSCY) is a long-term study conducted in partnership by Human Resources Development Canada (HRDC)and Statistics Canada. The primary objective of the NLSCY is to monitor the development and well being of Canada's children as they grow from infancy to adulthood. The NLSCY is designed to follow a representative sample of Canadian children, aged newborn to 11 years, into adulthood, with data collection occurring at two-year intervals. The objectives of the NLSCY are: To determine the prevalence of various risk and protective factors for children and youth. To understand how these factors, as well as life events, influence childrens development. To make this information available for developing policies and programs that will help children and youth. Collect information on a wide variety of topics biological, social, economic. Collect information about the environment in which the child is growing up family, peers, school, community Information comes from different sources (parent, child, teacher) and from direct measures (PPVT, math/reading tests, etc.) The NLSCY survey population consists of two sample groups. They are the: longitudinal sample, cross-sectional sample.

Abstract (en): The National Longitudinal Study of Adolescent Health (Add Health) is a longitudinal study of a nationally representative sample of adolescents in grades 7-12 in the United States during the 1994-1995 school year. The Add Health cohort has been followed into young adulthood with four in-home interviews, the most recent in 2008, when the sample was aged 24-32. Add Health combines longitudinal survey data on respondents' social, economic, psychological, and physical well-being with contextual data on the family, neighborhood, community, school, friendships, peer groups, and romantic relationships, providing unique opportunities to study how social environments and behaviors in adolescence are linked to health and achievement outcomes in young adulthood. The fourth wave of interviews expanded the collection of biological data in Add Health to understand the social, behavioral, and biological linkages in health trajectories as the Add Health cohort ages through adulthood. This component of the Add Health restricted data is the Biomarker Data. The Glucose/HbA1c data file contains two measures of glucose homeostasis based on assays of the Wave IV dried blood spots: Glucose (mg/dl) and Hemoglobin A1c (HbA1c, %). Six additional constructed measures -- fasting duration, classification of fasting glucose, classification of non-fasting glucose, classification of HbA1c, diabetes medication, and a joint classification of glucose, HbA1c, self-reported history of diabetes, and anti-diabetic medication use -- are also included. The Lipids data file contains measures of triglycerides (TG), total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), non-high-density lipoprotein cholesterol, and total cholesterol to high-density lipoprotein cholesterol ratio. Additional variables include, measurement method for triglycerides (TG), total cholesterol (TC), high-density lipoprotein choleserol (HDL-C), Antihyperlipidemic medication use, joint classification of self-reported history of Hyperlipidemia and Antihyperlipidemic medication use, and fasting duration. For more information, please see the study website. ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection: Performed consistency checks.; Standardized missing values.; Checked for undocumented or out-of-range codes.. Adolescents in grades 7-12 and their families. Wave I, Stage 1 School sample: stratified, random sample of all high schools in the United States. A school was eligible for the sample if it included an 11th grade and had a minimum enrollment of 30 students. A feeder school, a school that sent graduates to the high school and that included a 7th grade, was also recruited from the community. Wave I, Stage 2: An in-home sample of 27,000 adolescents was drawn consisting of a core sample from each community plus selected special over samples. Eligibility for over samples was determined by an adolescent's responses on the In-School Questionnaire. Adolescents could qualify for more than one sample. In addition, parents were asked to complete a questionnaire about family and relationships. The Wave II in-home interview sample is the same as the Wave I in-home interview sample, with a few exceptions. Information about neighborhoods/communities was gathered from a variety of previously published databases. Wave III: The in-home Wave III sample consists of Wave I respondents who could be located and re-interviewed six years later. Wave III also collected High School Transcript Release Forms as well as samples of urine and saliva. 2013-11-14 Public release of documentation guides and codebooks.2013-11-07 Part 4 was added and it includes new Biomarker Lipid Data.2013-03-08 Part 2 was updated following a resupply of the data by the Principal Investigators. Specifically, additional variables added to the data file, and CRP and EBV values have been recalculated, resulting in minimal changes to the data. The associated documentation and codebook files were also updated. Finally, a user guide describing measures of inflammation and immune function for Part 2 was also added.2012-11-07 The codebook associat...

Downloads of Add Health require submission of the following information, which is shared with the original producer of Add Health: supervisor name, supervisor email, and reason for download. A Data Guide for this study is available as a web page and for download. The National Longitudinal Study of Adolescent to Adult Health (Add Health), 1994-2018 [Public Use] is a longitudinal study of a nationally representative sample of U.S. adolescents in grades 7 through 12 during the 1994-1995 school year. The Add Health cohort was followed into young adulthood with four in-home interviews, the most recent conducted in 2008 when the sample was aged 24-32. Add Health combines longitudinal survey data on respondents' social, economic, psychological, and physical well-being with contextual data on the family, neighborhood, community, school, friendships, peer groups, and romantic relationships. Add Health Wave I data collection took place between September 1994 and December 1995, and included both an in-school questionnaire and in-home interview. The in-school questionnaire was administered to more than 90,000 students in grades 7 through 12, and gathered information on social and demographic characteristics of adolescent respondents, education and occupation of parents, household structure, expectations for the future, self-esteem, health status, risk behaviors, friendships, and school-year extracurricular activities. All students listed on a sample school's roster were eligible for selection into the core in-home interview sample. In-home interviews included topics such as health status, health-facility utilization, nutrition, peer networks, decision-making processes, family composition and dynamics, educational aspirations and expectations, employment experience, romantic and sexual partnerships, substance use, and criminal activities. A parent, preferably the resident mother, of each adolescent respondent interviewed in Wave I was also asked to complete an interviewer-assisted questionnaire covering topics such as inheritable health conditions, marriages and marriage-like relationships, neighborhood characteristics, involvement in volunteer, civic, and school activities, health-affecting behaviors, education and employment, household income and economic assistance, parent-adolescent communication and interaction, parent's familiarity with the adolescent's friends and friends' parents. Add Health data collection recommenced for Wave II from April to August 1996, and included almost 15,000 follow-up in-home interviews with adolescents from Wave I. Interview questions were generally similar to Wave I, but also included questions about sun exposure and more detailed nutrition questions. Respondents were asked to report their height and weight during the course of the interview, and were also weighed and measured by the interviewer. From August 2001 to April 2002, Wave III data were collected through in-home interviews with 15,170 Wave I respondents (now 18 to 26 years old), as well as interviews with their partners. Respondents were administered survey questions designed to obtain information about family, relationships, sexual experiences, childbearing, and educational histories, labor force involvement, civic participation, religion and spirituality, mental health, health insurance, illness, delinquency and violence, gambling, substance abuse, and involvement with the criminal justice system. High School Transcript Release Forms were also collected at Wave III, and these data comprise the Education Data component of the Add Health study. Wave IV in-home interviews were conducted in 2008 and 2009 when the original Wave I respondents were 24 to 32 years old. Longitudinal survey data were collected on the social, economic, psychological, and health circumstances of respondents, as well as longitudinal geographic data. Survey questions were expanded on educational transitions, economic status and financial resources and strains, sleep patterns and sleep quality, eating habits and nutrition, illnesses and medications, physical activities, emotional content and quality of current or most recent romantic/cohabiting/marriage relationships, and maltreatment during childhood by caregivers. Dates and circumstances of key life events occurring in young adulthood were also recorded, including a complete marriage and cohabitation history, full

The National Longitudinal Survey of Children and Youth (NLSCY) is a long-term survey designed to measure child development and well-being. The first cycle of the survey was conducted by Statistics Canada in 1994-1995 on behalf of Human Resources Development Canada. The survey looked at households containing children 0 to 11 years of age. It will follow these children over time, collecting information on the children and their families, education, health, development, behaviour, friends, activities, etc. The data collected has been released in two cycles of the NLSCY. The amount of information collected was so extensive a decision was made to have two releases rather than waiting for all of the data to be processed. Release 1 contains information on medical/biological childbirth information, motor and social development, parenting, child care, behaviour, etc.. Release 2 contains information on health, activities, literacy, family and custody history, parent health, neighbourhood safety, puberty, drinking and drugs. A complete list of the sections included in the first and second release can be found in the General Contents files.

The National Longitudinal Study of Adolescent to Adult Health (Add Health) is a longitudinal study of a nationally representative sample of adolescents in grades 7-12 in the United States during the 1994-95 school year. The Add Health cohort has been followed into young adulthood with four in-home interviews, the most recent in 2008, when the sample was aged 24-32*. Add Health combines longitudinal survey data on respondents’ social, economic, psychological and physical well-being with contextual data on the family, neighborhood, community, school, friendships, peer groups, and romantic relationships, providing unique opportunities to study how social environments and behaviors in adolescence are linked to health and achievement outcomes in young adulthood. The fourth wave of interviews expanded the collection of biological data in Add Health to understand the social, behavioral, and biological linkages in health trajectories as the Add Health cohort ages through adulthood. Wave IV Wave IV was designed to study the developmental and health trajectories across the life course of adolescence into young adulthood. Taking place in 2008, approximately 92.5% of the original Wave I respondents were located and 80.3% of eligible cases were interviewed. The Wave IV public use file contains data on 5,114 respondents, aged 24 to 32*. In Wave IV, biological data was also gathered in an attempt to acquire a greater understanding of predisease pathway s, with a specific focus on obesity, stress, and health risk behavior. The Wave IV public use dataset includes the following data files: Wave IV In-home Interview File: variables from the in-home interview, including anthropometric measures Relationship Data Pregnancy Table File Live Births File Children and Parenting File Wave IV Weights Wave IV Public Use Biomarkers, Glucose Data Wave IV Public Use Biomarkers, Measures of EBV and hsCRP Wave IV Public Use Biomarkers, Lipids Data *17 respondents in the Wave IV public use sample were 33 years old at the time of the interview.

Abstract

Welfare Monitoring Survey (WMS) is a biennial longitudinal household survey, which covers the entire Georgia that are under the control of the Government of Georgia. It investigates the multi-dimensional wellbeing of the population and households with a particular focus on children (e.g. consumption poverty, material deprivations, and school attendance). The survey also makes a reference to social transfers and their impacts to poverty.

The primary objectives of the survey are to provide an in-depth understanding of how the crisis impacts on Georgian children and their families and to inform policy decision-making process by identifying key priority challenges that require immediate policy responses. For this purpose the survey explores the dynamics of core welfare indicators of households. It also explores the strategies that the households resort to in order to mitigate the risks posed by the negative global developments.

The aim of the WMS 2013 was to interview the same ‘well-informed respondent’ in each household who had participated in the 2009 and 2011 surveys. The longitudinal dataset enables analysis of changes in household and personal circumstances over a four-year period. Fieldwork began on 23 July 2013 and finished on 15 August 2013. It was carried out by 122 interviewers, with regional supervisors, all across Georgia.

This is the third round of the Welfare Monitoring Survey (WMS). WMS is a biennial longitudinal household survey covering all the government-controlled regions of Georgia.

Geographic coverage

The survey covers the whole country of Georgia excluding territories outside the Georgian Government's control.

Kind of data

Sample survey data [ssd]

Sampling procedure

The sampling strategy targeted the 4808 households, in which face-to-face interviews had been completed in 2009. Successful interviews were held with respondents from 4147 households, an 86 per cent response rate in 2011. In the third round, 3726 questionnaires were completed, constituting an 89.8 per cent response rate of 2011 sample.

Mode of data collection

Face-to-face [f2f]

Research instrument

Two types of survey tools, were used: a) a structured questionnaire for a face-to-face interview and b) a diary questionnaire to be completed by households in the week following the face-to-face interviews.

The questionnaires explore different dimensions of well-being of the Georgian population, incorporating questions about household assets, income and consumption, employment and livelihoods, food security, access to health, education and social services and household coping strategies.

Abstract

In the West Africa Economic Monetary Union (WAEMU) countries, COVID-19 is expected to affect households in many ways. First, governments might reduce social transfers to households due to the decline in revenue arising from the potential COVID-19 economic recession. Second households deriving income from vulnerable sectors such as tourism and related activities will likely face risk of unemployment or loss of income. Third an increase in prices of imported goods can also negatively impact household welfare, as a direct consequence of the increase of these imported items or as indirect increase of prices of local good manufactured using imported inputs. In this context, there is a need to produce high frequency data to help policy makers in monitoring the channels by which the pandemic affects households and assessing its distributional impact. To do so, the sample of the longitudinal survey is a sub-sample of the Enquête Harmonisée sur les Conditions de Vie des Ménages (EHCVM), a harmonized household survey conducted in 2018/19 household survey in the WAEMU countries.

For Burkina Faso, the survey, which is implemented by the Institut National de la Statistique et la Demographie (INSD), is conducted using cell phone numbers of household members collected during the 2018/19 EHCVM survey. The extensive information collected in the EHCVM provides a rich set of background information for the COVID-19 High Frequency Phone Survey of households. This background information can be leveraged to assess the differential impacts of the pandemic in the country. Every month, the sampled households will be asked a set of core questions on the key channels through which individuals and households are expected to be affected by the COVID-19-related restrictions. Employment, access to basic services, non-labor sources of income are channels likely to be impacted. The core questionnaire is complemented by questions on selected topics that rotate each month. This provides data to the government and development partners in near real-time, supporting an evidence-based response to the crisis.

The main objectives of the survey are to: • Identify type of households directly or indirectly affected by the pandemic; • Identify the main channels by which the pandemic affects households; • Provide relevant data on income and socioeconomic indicators to assess the welfare impact of the pandemic.

Phase 1 was conducted on a monthly basis during the period of June 2020 and July 2021 for11 Rounds. Phase 2 (starting from Round 12) was conducted on a bi-monthly basis starting in April 2022. Phase 3 (starting from Round 18) will be conducted on a bi-monthly basis, starting in July 2023.

Geographic coverage

National coverage, including Ouagadougou, rural and other urban

Analysis unit

• Households
• Individuals

Universe

The survey covered a sub-sample of the households of the 2018/19 - Enquête Harmonisée sur le Conditions de Vie des Ménages (EHCVM) survey which excluded populations in prisons, hospitals, military barracks, and school dormitories.

Kind of data

Sample survey data [ssd]

Sampling procedure

The sample of the HFS is a subsample of the 2018/19 Harmonized Living Conditions Household Survey (EHCVM). The EHCVM 2018/19 is built on a nationally and regionally representative sample of households in Burkina Faso. EHCVM 2018/19 interviewed 7,010 households in urban and rural areas. In the EHCVM interview, households were asked to provide phone numbers of the household head, or a household member, or a non-household member (e.g. friends or neighbors) so that they can be contacted for follow-up questions. At least one valid phone number was obtained for 6877 households. These households established the sampling frame for the HFS. To obtain representative strata at the national, capital (Ouagadougou), urban, and rural level, the target sample size for the HFS is 1,800 household (assuming a 50% non-response rate the minimum required sample is 1479). To account for non-response and attrition, 2500 households were called in baseline round of the HFS. 1,968 households were fully interviewed during the first round of interviews. Those 1,968 households constitute the final successful sample and will be contacted in subsequent rounds of the survey.

In addition to the 1,968 households successfully interviewed in Round 1, in Round 2, 242 additional households were sampled from the rural strata, in order to increase the representativeness in this domain. In Round 12, 231 additional households were selected from the rural stratum from the 2018/19 EHCVM sample. In Round 18, 858 additional households were selected from panel component of the 2021/22 EHCVM sample.

Mode of data collection

Computer Assisted Telephone Interview [cati]

Research instrument

BASELINE (Round 1): The Household Questionnaire provides information on demographics; knowledge regarding the spread of COVID-19; behavior and social distancing; access to basic services; employment.

Round 2: Household Roster; Access to Basic Services; Employment (with a focus on non-farm enterprises); Food Security; Shocks; Fragility, conflict, and violence.

Round 3: Household Roster; Knowledge regarding the spread of COVID-19; Behavior and social distancing; Access to Basic Services; Employment (with a focus on farm household activities); Food Security; Other revenues; Social protection.

Round 4: The following modules were administered in Round 4: Household Roster; Access to Basic Services; Credit; Employment and revenue (with a focus on livestock activities); Food Security; Other revenues; Shocks; Fragility, Conflict and Violence.

Round 5: Household Roster; Knowledge regarding the spread of COVID-19; Behavior and social distancing; Access to Basic Services; Education at individual level; Employment; Food Security; Other revenues; Social protection.

Round 6: Household Roster; Access to Basic Services; Education; Employment and revenues (with a focus on harvest activities and revenues from crop selling); Food Security; Other revenues; Shocks; Fragility, conflict and violence.

Round 7: Household Roster; Access to Basic Services; Education; Employment and revenues (with a focus on harvest activities and revenues from crop selling); Food Security; Other revenues; Shocks; Fragility, conflict and violence.

Round 8: Household Roster; Early Child Development; Access to Basic Services; Employment and revenues; Food Security; Other revenues; Shocks; Fragility, conflict and violence.

Round 9: Household Roster; Access to Basic Services; Employment and revenues; Food Security and Other revenues.

Round 10: Household Roster; Mental health; Knowledge regarding the spread of COVID-19; Behavior and social distancing; Covid-19 Testing and Vaccination; Access to Basic Services; Credit; ; Employment and revenue (with a focus on livestock activities); Food Security; Other revenues; Shocks; Concerns regarding the impact of COVID-19 on personal health and financial wealth of the household; Fragility, Conflict and Violence

Round 11: Household basic information; Access to Basic Services; Employment and revenue (with a focus on agricultural activities); Food Security; Other revenues; Concerns regarding the current situation; Social Safety Nets.

Round 12: Household Roster; Covid-19 Vaccination; Access to Health Care; and Employment and Income.

Round 13: Household Roster; Access to Health Care; Credit; Employment and Income; Food Security; Other Revenues; and Economic Sentiments.

Round 14: Household Roster; Access to Health Care; Vaccination; Concerns; Economic Sentiments.

Round 15: Household Roster; Displacement; Education; Access to basic foodstuffs; Employment and Income; Food Security; Other Revenues; Economic Sentiments; Items Price.

Round 16: Household Roster; Access to Health Care; Vaccination; Agriculture; Livestock; Shocks; Climate Change; Economic Sentiments; Items Price.

Round 17: Household Roster; Access to Basic Foodstuffs; Access to HealthCare – individual level; Credit; Employment and Income; Food Security; and Other Revenues.

Round 18: Household Roster; Access to Basic Goods and Services; Access to Health Care – individual level; Price of items; Employment and Income; Food Security; Food Consumption Score; Economic Sentiments; and Subjective Welfare.

Round 19: Household Roster; Access to Basic Goods and Services; Access to Health Care – individual level; Price of items; Employment and Income; Food Security; Shocks; Food Consumption Score; Economic Sentiments; and Subjective Welfare.

Round 20: Households Roster; Access to basic goods and services; Access to Health Care - Individual level; Price ofItems; Employment and Income; Food Security; Food Consumption Score; Economic Sentiments; SubjectiveWelfar.

Round 21: Household Roster; Access to Basic Goods and Services; Education; Price of items; Employment and Income; Agriculture; Livestock; Food Security; Food Consumption Score; Economic Sentiments; Subjective Welfare.

Round 22: Household Roster; Household Mobility; Access to Basic Goods and Services; Price of items; Access to Health Care - individual level; Employment and Income; Food Security; Food Consumption Score; Shocks; Economic Sentiments; and Subjective Welfare.

Round 23: Household Roster; Access to Basic Goods and Services; Price of items; Employment and Income; Food Security; Food Consumption Score; Economic Sentiments; and Subjective Welfare.

All the interview materials were translated in French for the INSD. The questionnaire was administered in local languages with about varying length (about 25 minutes).

Cleaning operations

At the end of data

Africa has been known to experience series of problems among which are poverty, food insecurity, lack of access to energy, lack of infrastructure among others. These problems were exacerbated by the COVID-19 pandemic, which has had a severe impact on the socioeconomic status of households in Africa. This paper examines the relationship between socioeconomic shocks, social protection, and household food security during the pandemic in Nigeria, the Africa’s largest economy. Using the World Bank’s COVID-19 national longitudinal baseline phone survey (2020) for the analysis and applied the multinomial logit regression, the study finds that socioeconomic shocks resulting from the pandemic have led to an increased level of food insecurity. Social protection programmes have played a crucial role in mitigating the impact of these shocks on households. However, the study also highlights the need for more targeted and effective social protection policies to ensure that vulnerable households are adequately protected from the adverse effects of the pandemic. The findings of this study have important implications for policymakers and stakeholders in Africa’s largest economy, as they seek to address the challenges posed by the pandemic and promote household food security for the actualisation the United Nations (UN) Sustainable Development Goal (SDG) of food and nutrition security (SDG2). The study, therefore, recommends that efforts be made to preserve food supply chains by mitigating the pandemic’s effect on food systems, increasing food production, and looking forward beyond the pandemic by building resilient food systems with the use of social protection interventions.

Abstract

In Chad, COVID-19 is expected to affect households in many ways. First, governments might reduce social transfers to households due to the decline in revenue arising from the potential COVID-19 economic recession. Second households deriving income from vulnerable sectors such as tourism and related activities will likely face risk of unemployment or loss of income. Third an increase in prices of imported goods can also negatively impact household welfare, as a direct consequence of the increase of these imported items or as indirect increase of prices of local good manufactured using imported inputs. In this context, there is a need to produce high frequency data to help policy makers in monitoring the channels by which the pandemic affects households and assessing its distributional impact. To do so, the sample of the longitudinal survey will be a sub-sample of the 2018/19 Enquête sur la Consommation des Ménages et le Secteur Informel au Tchad (Ecosit 4) in Chad.

This has the advantage of conducting cost effectively welfare analysis without collecting new consumption data. The 30 minutes questionnaires covered many modules, including knowledge, behavior, access to services, food security, employment, safety nets, shocks, coping, etc. Data collection is planned for four months (four rounds) and the questionnaire is designed with core modules and rotating modules.

The main objectives of the survey are to: • Identify type of households directly or indirectly affected by the pandemic; • Identify the main channels by which the pandemic affects households; • Provide relevant data on income and socioeconomic indicators to assess the welfare impact of the pandemic.

Geographic coverage

National coverage

Analysis unit

Households

Universe

The survey covered only households of the 2018/19 Enquête sur la Consommation des Ménages et le Secteur Informel au Tchad (ECOSIT 4) which excluded populations in prisons, hospitals, military barracks, and school dormitories.

Kind of data

Sample survey data [ssd]

Sampling procedure

The Chad COVID-19 impact monitoring survey is a high frequency Computer Assisted Telephone Interview (CATI). The survey’s sample was drawn from the Enquête sur la Consommation des Ménages et le Secteur Informel au Tchad (Ecosit 4) which was conducted in 2018-2019. ECOSIT 4 is a survey with a sample size of 7,493 household’s representative at national, regional and by urban/rural. During the survey, each household was asked to provide a phone number of at least one member or a non-household member (e.g. friends or neighbors) so that they can be contacted for follow-up questions. The sampling of the high frequency survey aimed at having representative estimates by national and area of residence: Ndjamena (capital city), other urban and rural area. The minimum sample size was 2,000 for which 1,748 households (87.5%) were successfully interviewed at the national level. To account for non-response and attrition and given that this survey was the first experience of INSEED, 2,833households were initially selected, among them 1,832 households have been reached. The 1,748 households represent the final sample and will be contacted for the next three rounds of the survey.

Sampling deviation

None

Mode of data collection

Computer Assisted Personal Interview [capi]

Research instrument

The questionnaire is in French and has been administrated in French and local languages. The length of an interview varies between 20 and 30 minutes. The questionnaires consisted of the following sections: 1- Household Roster 2- Knowledge of COVID-19 3- Behavior and Social Distancing 4- Access to Basic Services 5- Employment and Income 6- Prices and Food Security 7- Other Impacts of COVID-19 8- Income Loss 9- Coping/Shocks 10- Social Safety Nets 11- Fragility 12- Vaccine

Cleaning operations

At the end of data collection, the raw dataset was cleaned by the INSEED with the support of the WB team. This included formatting, and correcting results based on monitoring issues, enumerator feedback and survey changes.

Response rate

The minimum sample expected is 2,000 households covering Ndjamena, other urban and rural areas. Overall, the survey has been completed for 1,748 households that is about 87.5 % of the expected minimal sample size at the national level. This provide reliable estimates at national and area of residence level.

Abstract

In the WAEMU countries, COVID-19 is expected to affect households in many ways. First, governments might reduce social transfers to households due to the decline in revenue arising from the potential COVID-19 economic recession. Second households deriving income from vulnerable sectors such as tourism and related activities will likely face risk of unemployment or loss of income. Third an increase in prices of imported goods can also negatively impact household welfare, as a direct consequence of the increase of these imported items or as indirect increase of prices of local good manufactured using imported inputs. In this context, there is a need to produce high frequency data to help policy makers in monitoring the channels by which the pandemic affects households and assessing its distributional impact. To do so, the sample of the longitudinal survey will be a sub-sample of the 2018/19 household survey in each country.

For Mali, the survey which is implemented by the National Statistical Office (INSTAT), is conducted using cell phone numbers of household members collected during the 2018/19 survey. This has the advantage of conducting cost effectively welfare analysis without collecting new consumption data. The 35 minutes questionnaires covered 10 modules (knowledge, behaviour, access to services, food security, employment, safety nets, shocks, etc…). Data collection is planned for six months (six rounds) and the questionnaire is designed with core modules and rotating modules. Survey data collection started on May 11th, 2020 and households are expected to be called back every three to four weeks.

The main objectives of the survey are to: • Identify type of households directly or indirectly affected by the pandemic; • Identify the main channels by which the pandemic affects households; • Provide relevant data on income and socioeconomic indicators to assess the welfare impact of the pandemic.

Geographic coverage

National coverage

Analysis unit

Households

Universe

The survey covered only households of the 2018/19 survey which excluded populations in prisons, hospitals, military barracks, and school dormitories.

Kind of data

Sample survey data [ssd]

Sampling procedure

SAMPLING PROCEDURE The Mali COVID-19 impact monitoring survey is a high frequency Computer Assisted Telephone Interview (CATI). The survey's sample was drawn from the population of the 2018/19 - Enquête Harmonisée des Conditions de Vie des Ménages (EHCVM) -, which was conducted between October 2018 and July 2019. EHCVM is itself a sample survey representative at national, regional and by urban/rural. For the 7,000 HHs in EHCVM, phone numbers were collected for about 90 percent of them. Each HH has between 1-4 phone numbers. The sampling, which was similar across WAEMU, aimed at having representative estimates by three zones: the capital city of Bamako, other urban areas and the rural area. The minimum sample size was 1,908 for which 1,766 were successfully interviewed, that is about 98 % of the expected minimal sample size at the national level. Given that Mali is conducting a phone survey for the first time, a total of 2,270 were drawn (25% increase) to take into account unknown non-response rates or presence of invalid numbers in the database.

The total number of completed interviews in round one is 1,766. The total number of completed interviews in round two is 1,935. The total number of completed interviews in round three is 1,901. The total number of completed interviews in round four is 1,797. The total number of completed interviews in round five is 1,766.

Mode of data collection

Computer Assisted Telephone Interview [cati]

Research instrument

All the interview materials were translated in french for the NSO. The questionnaire was administered in local languages with about varying length (30-35 minutes) and covered the following topics:

1- Household Roster 2- Knowledge of COVID-19 3- Behaviour and Social Distancing 4- Access to Basic Services 5- Employment and Income 6- Prices and Food Security 7- Other Impacts of COVID-19 8- Income Loss 9- Coping/Shocks 10- Social Safety Nets 11- Fragility 12- Governance and socio-political crisis

Cleaning operations

At the end of data collection, the raw dateset was cleaned by the NSO. This included formatting, and correcting results based on monitoring issues, enumerator feedback and survey changes.

Response rate

The minimum sample expected is 1,809 households (with 603 households per domain). This sample was therefore 99% covered for Bamako, about 100% for other urban areas and 91% for rural areas. Overall, the minimum sample is 98% covered. This level of coverage provides reliable data at national level and for each domain.

Round one response rate was 77.8%. Round two response rate was 85.2%. Round three response rate was 83.7%. Round four response rate was 79.2%. Round five response rate was 79.7%.

Abstract

The primary objectives of the survey are to provide an in-depth understanding of how the crisis impacts on Georgian children and their families and to inform policy decision-making process by identifying key priority challenges that require immediate policy responses. For this purpose the survey explores the dynamics of core welfare indicators of households. It also explores the strategies that the households resort to in order to mitigate the risks posed by the negative global developments.

The aim of the WMS 2011 was to interview the same "well-informed respondent" in each household who had participated in the 2009 survey. The longitudinal dataset enables analysis of changes in household and personal circumstances over a two year period. Fieldwork began on 20th of June 2011 and finished on 30th of July 2011. It was carried out by 84 interviewers, with regional supervisors, all across Georgia.

This is the second round of the Welfare Monitoring Survey (WMS). WMS is a biennial longitudinal household survey covering all the government-controlled regions of Georgia.

Geographic coverage

The survey covers the whole country of Georgia excluding territories outside the Georgian Government's control.

Kind of data

Sample survey data [ssd]

Sampling procedure

The sampling strategy targeted the 4808 households in which face-to-face interviews had been completed in 2009. Successful interviews were held with respondents from 4147 households, an 86 per cent response rate.

Mode of data collection

Face-to-face [f2f]

Research instrument

Two types of survey tools, were used: a) a structured questionnaire for a face-to-face interview and b) a diary questionnaire to be completed by households in the week following the face-to-face interviews.

The questionnaires explore different dimensions of well-being of the Georgian population, incorporating questions about household assets, income and consumption, employment and livelihoods, food security, access to health, education and social services and household coping strategies.

This longitudinal survey was designed to add significantly to the amount of detailed information available on the economic situation of households and persons in the United States. These data examine the level of economic well-being of the population and also provide information on how economic situations relate to the demographic and social characteristics of individuals. There are three basic elements contained in the survey. The first is a control card that records basic social and demographic characteristics for each person in a household, as well as changes in such characteristics over the course of the interviewing period. The second element is the core portion of the questionnaire, with questions repeated at each interview on labor force activity, types and amounts of income, participation in various cash and noncash benefit programs, attendance in postsecondary schools, private health insurance coverage, public or subsidized rental housing, low-income energy assistance, and school breakfast and lunch participation. The third element consists of topical modules which are series of supplemental questions asked during selected household visits. No topical modules were created for the first or second waves. The Wave III Rectangular Core and Topical Module File offers both the core data and additional data on (1) education and work history and (2) health and disability. In the areas of education and work history, data are supplied on the highest level of schooling attained, courses or programs studied in high school and after high school, whether the respondent received job training, and if so, for how long and under what program (e.g., CETA or WIN). Other items pertain to the respondent's general job history and include a description of selected previous jobs, duration of jobs, and reasons for periods spent not working. Health and disability variables present information on the general condition of the respondent's health, functional limitations, work disability, and the need for personal assistance. Data are also provided on hospital stays or periods of illness, health facilities used, and whether health insurance plans (private or Medicare) were available. Respondents whose children had physical, mental, or emotional problems were questioned about the causes of the problems and whether the children attended regular schools. The Wave IV Rectangular Core and Topical Module file contains both the core data and sets of questions exploring the subjects of (1) assets and liabilities, (2) retirement and pension coverage, and (3) housing costs, conditions, and energy usage. Some of the major assets for which data are provided are savings accounts, stocks, mutual funds, bonds, Keogh and IRA accounts, home equity, life insurance, rental property, and motor vehicles. Data on unsecured liabilities such as loans, credit cards, and medical bills also are included. Retirement and pension information covers such items as when respondents expect to stop working, whether they will receive retirement benefits, whether their employers have retirement plans, if so whether they are eligible, and how much they expect to receive per year from these plans. In the category of housing costs, conditions, and energy usage, variables pertain to mortgage payments, real estate taxes, fire insurance, principal owed, when the mortgage was obtained, interest rates, rent, type of fuel used, heating facilities, appliances, and vehicles. The Wave V topical modules explore the subject areas of (1) child care, (2) welfare history and child support, (3) reasons for not working/reservation wage, and (4) support for nonhousehold members/work-related expenses. Data on child care include items on child care arrangements such as who provides the care, the number of hours of care per week, where the care is provided, and the cost. Questions in the areas of welfare history and child support focus on receipt of aid from specific welfare programs and child support agreements and their fulfillment. The reasons for not working/reservation wage module presents data on why persons are not in the labor force and the conditions under which they might join the labor force. Additional variables cover job search activities, pay rate required, and reason for refusal of a job offer. The set of questions dealin

Longitudinal household panel survey. Annual interviews collect information about economic and subjective well-being, labour market dynamics and family dynamics

The HILDA Survey is conducted by the Melbourne Institute of Applied Economic and Social Research at the University of Melbourne on behalf of the Department of Social Services, with data collection conducted by Roy Morgan Research.

For further information visit this page on the Department of Social Services website

Abstract

The Kenya Cash Transfer for Orphans and Vulnerable Children (CT-OVC) is the government’s flagship social protection programme, implemented by the Children’s Department of the Ministry of Gender, Children and Social Development, reaching approximately 240,000 households nationwide as of 2014. In response to a concern for the welfare of OVC, particularly AIDS orphans, the Government of Kenya, with technical and financial assistance from UNICEF, designed and began implementing a pilot program in 2004. After this successful demonstration period, the CT-OVC was formally approved by Cabinet, and integrated into the national budget.

The objective of the programme is to provide regular cash transfers to ultra-poor households living with OVC to encourage fostering and retention of children and to promote their human capital development. Eligible households receive a flat monthly transfer of 2000 Kenyan shillings (approximately USD $21), adjusted up from 1500 in 2011-2012 to account for inflation. An OVC is defined as a household resident between 0 to17 years old with at least one deceased or chronically ill parent, or whose main caregiver is chronically ill. Beneficiary households are informed that the care and protection of the resident OVC is their responsibility for receiving the cash payment, however there are no punitive sanctions for noncompliance with this responsibility (the transfer is unconditional).

Geographic coverage

Regional Coverage.

Analysis unit

Households, Individuals, Communities

Universe

Household members aged 15-25.

Kind of data

Sample survey data [ssd]

Sampling procedure

Prior to program expansion of the CT-OVC in 2007, UNICEF designed a social experiment to track the impact of the program on a range of household welfare indicators including child health and schooling and economic productivity. The evaluation was contracted to a private consulting firm, Oxford Policy Management (OPM), and entailed a cluster randomized longitudinal design, with a baseline household survey (and related community survey) conducted in mid-2007 and a 24 month follow-up in 2009. The ethical rationale for the design was that the program could not expand to all eligible locations at the same time, so locations whose entry would occur later in the expansion cycle could be used as control sites to measure impact. Thus within each of 7 districts that were scheduled to be included in this expansion phase four locations were identified as eligible, and 2 were randomized out of the initial expansion phase and served as control locations.

Targeting of households was carried out in the intervention locations according to standard program operation guidelines. Each location forms a committee of citizens that is charged with identifying potentially eligible households based on criteria of ultra-poverty and containing at least one OVC as defined above. The list of eligible households is sent to the program's central office (located within the Ministry of Gender, Children and Social Development, the Ministry responsible for the program at the time), which then administers a detailed socioeconomic questionnaire to confirm eligibility, and to assess poverty in order to rank households. The final number of households that enter the program in each district depends on funding to that district but approximately 20 percent of the poorest households in each location are enrolled in the program. Since the program was not scheduled to be implemented during this phase in the control locations, program targeting was 'simulated' in order to identify a sample of households that were comparable to those identified as eligible in treatment locations. Households in either arm (Intervention, Control) were surveyed prior to their knowledge that they were selected into the program.

The 2011 survey included a Young Persons Module which covered 1235 households and 2218 individuals.

Mode of data collection

Face-to-face paper [f2f]

Abstract

In 2009 United Nations Children's Fund (UNICEF) commissioned a nation-wide panel survey to measure the impact of the financial crisis on Georgian children and their families. The first round of the survey, conducted during May-July, explored core welfare indicators of households, including incomes, consumption, employment and livelihoods, housing, material and subjective well-being and access to utilities, social services and benefits. It also explored the strategies that households resort to in order to mitigate the risks posed by negative global developments.

The primary objectives of the survey are to provide an in-depth understanding of how the crisis impacts on Georgian children and their families and to inform policy decision-making process by identifying key priority challenges that require immediate policy responses.

This is the first round of the Welfare Monitoring Survey (WMS). WMS is a biennial longitudinal household survey covering all the government-controlled regions of Georgia.

Geographic coverage

The survey covers the whole country of Georgia excluding territories outside the Georgian Government's control.

Kind of data

Sample survey data [ssd]

Sampling procedure

The survey target sample consisted of households that participated in Household Integrated Survey (HIS) conducted by the Georgian National Statistics Office (Geostat) in 2008. The HIS used two-stage clustering with stratification by region, settlement size and mountain or lowland location. Geostat generously provided the survey company with 6758 target addresses, the aim being to achieve interviews with approximately 6000 households. In the event, successful interviews were held in 4808 households, a response rate of 71 per cent. At 13 per cent of target addresses, no-one was at home and in 7 per cent interviews were refused.

Mode of data collection

Face-to-face [f2f]

Research instrument

Two types of survey tools, were used: a) a structured questionnaire for a face-to-face interview and b) a diary questionnaire to be completed by households in the week following the face-to-face interviews.

The questionnaires explore different dimensions of well-being of the Georgian population, incorporating questions about household assets, income and consumption, employment and livelihoods, food security, access to health, education and social services and household coping strategies.

The National Longitudinal Survey of Children and Youth (NLSCY) is a long-term survey designed to measure child development and well-being. The second cycle, carried out in 1996 and 1997, interviewed parents of the same children as Cycle 1 and provides unique insights into the evolution of children and their family environments over a two-year period. The survey collected informationon children and their families, education, health, development, behaviour, friends, activities, etc. The NLSCY will continue to collect information on these same children every two years as they move into youth and adulthood. Cycle 2 is a cross-sectional file only. There will be no public longitudinal data file due to confidentiality restrictions. Longitudinal analysis can bedone through remote data access.

This survey is part of a continuing series designed to monitor trends in a wide range of social attitudes in Great Britain. The British Social Attitudes Survey (BSA) is similar to the General Social Survey carried out by the National Opinion Research Center (NORC) in the United States. The BSA questionnaire has two parts, one administered by an interviewer and the other completed by the respondent. This panel study is very closely linked, both in terms of design and content, to the British Social Attitudes cross-sectional series. Given that a key aim of the series was to look at trends and changes in attitudes over time, there were strong arguments for using a longitudinal (rather than a repeated cross-sectional) design since this would allow analysis of change to be linked to individual characteristics. The panel study was a unique opportunity to explore the methodological and analytical considerations of a longitudinal approach. The panel study compromises four interviews with individual respondents carried out on an annual basis. The field work for the cross-sectional and panel surveys took place at approximately the same time each year during the years 1983-1986. The topics covered in the questionnaires (by section) were as follows: (1) politics/defense, (2) economic expectations, evaluations, labor market participation, (3) social expenditures, welfare state, housing, education, the National Health Service, (4) crime/police, social class, religion, divorce, racial prejudices, household division of labor, public and personal morality, sexual morals, and (6) change of attitude (perceived). Additional demographic data gathered included age, gender, education, occupation, household income, marital status, social class, and religious and political affiliations.