Abstract copyright UK Data Service and data collection copyright owner.

The Active Lives Children and Young People Survey, which was established in September 2017, provides a world-leading approach to gathering data on how children engage with sport and physical activity. This school-based survey is the first and largest established physical activity survey with children and young people in England. It gives anyone working with children aged 5-16 key insight to help understand children's attitudes and behaviours around sport and physical activity. The results will shape and influence local decision-making as well as inform government policy on the PE and Sport Premium, Childhood Obesity Plan and other cross-departmental programmes. More general information about the study can be found on the Sport England Active Lives Survey webpage and the Active Lives Online website, including reports and data tables.

The Active Lives Children and Young People survey is a school-based survey (i.e., historically always completed at school as part of lessons). Academic years 2020-2021 and 2019-20 have both been disrupted by the coronavirus pandemic, resulting in school sites being closed to many pupils for some of the year (e.g., during national lockdown periods, and during summer term for 2019-20). Due to the closure of school sites, the Active Lives Children and Young People Survey, 2020-2021 was adapted to allow at-home completion. Despite the disruption, the survey has still received a sufficient volume of responses for analysis.

The adaptions involved minor questionnaire changes (e.g., to ensure the wording was appropriate for those not attending school and to enable completion at home), and communication changes. For further details on the survey changes, please see the accompanying User Guide document. Academic year 2020-21 saw a more even split of responses by term across the year, compared to 2019-20 which had a reduced proportion of summer term responses due to the disruption caused by Covid-19. It is recommended to analyse the data within term, as well as at an overall level, because of the changes in termly distribution.

The survey identifies how participation varies across different activities and sports, by regions of England, between school types and terms, and between different demographic groups in the population. The survey measures levels of activity (active, fairly active and less active), attitudes towards sport and physical activity, swimming capability, the proportion of children and young people that volunteer in sport, sports spectating, and wellbeing measures such as happiness and life satisfaction. The questionnaire was designed to enable analysis of the findings by a broad range of variables, such as gender, family affluence and school year.

The following datasets have been provided:

1) Main dataset – this file includes responses from children and young people from school years 3 to 11, as well as responses from parents of children in years 1-2. The parents of children in years 1-2 provide behavioural answers about their child’s activity levels, they do not provide attitudinal information. Using this main dataset, full analyses can be carried out into sports and physical activity participation, levels of activity, volunteering (years 5 to 11), etc. Weighting is required when using this dataset (wt_gross / wt_gross.csplan files are available for SPSS users who can utilise them).

2) Year 1-2 dataset – this file include responses from children in school years 1-2 directly, providing their attitudinal responses (e.g. whether they like playing sport and find it easy). Analysis can be carried out into feelings towards swimming, enjoyment for being active, happiness etc. Weighting is required when using this dataset (wt_gross / wt_gross.csplan files are available for SPSS users who can utilise them).

3) Teacher dataset – this file includes response from the teachers at schools selected for the survey. Analysis can be carried out into school facilities available, length of PE lessons, whether swimming lessons are offered, etc. Weighting was formerly not available, however, as Sport England have started to publish the Teacher data, from December 2023 we decide to apply weighting to the data. The Teacher dataset now includes weighting by applying the ‘wt_teacher’ weighting variable.

For further information about the variables available for analysis, and the relevant school years asked survey questions, please see the supporting documentation. Please read the documentation before using the datasets. More general information about the study can be found on the Sport England Active Lives Survey webpages.

Latest edition information

For the second edition (January 2024), the Teacher dataset now includes a weighting variable (‘wt_teacher’). Previously, weighting was not available for these...

Child malnutrition joint country dataset (UNICEF, WHO, World Bank Group)

Definitions:
Severe Wasting: Percentage of children aged 0–59 months who are below minus three standard deviations from median weight-for-height of the WHO Child Growth Standards.
Wasting – Moderate and severe: Percentage of children aged 0–59 months who are below minus two standard deviations from median weight-for-height of the WHO Child Growth Standards.
Overweight – Moderate and severe: Percentage of children aged 0-59 months who are above two standard deviations from median weight-for-height of the WHO Child Growth Standards.
Stunting – Moderate and severe: Percentage of children aged 0–59 months who are below minus two standard deviations from median height-for-age of the WHO Child Growth Standards.
Underweight – Moderate and severe: Percentage of children aged 0–59 months who are below minus two standard deviations from median weight-for-age of the World Health Organization (WHO) Child Growth Standards.

Child malnutrition joint global and regional dataset (UNICEF, WHO, World Bank Group) (March 2020)

Definitions:
Severe Wasting: Percentage of children aged 0–59 months who are below minus three standard deviations from median weight-for-height of the WHO Child Growth Standards.
Wasting – Moderate and severe: Percentage of children aged 0–59 months who are below minus two standard deviations from median weight-for-height of the WHO Child Growth Standards.
Overweight – Moderate and severe: Percentage of children aged 0-59 months who are above two standard deviations from median weight-for-height of the WHO Child Growth Standards.
Stunting – Moderate and severe: Percentage of children aged 0–59 months who are below minus two standard deviations from median height-for-age of the WHO Child Growth Standards.
Underweight – Moderate and severe: Percentage of children aged 0–59 months who are below minus two standard deviations from median weight-for-age of the World Health Organization (WHO) Child Growth Standards.

Burundi BI: Children Out of School: Primary: Female data was reported at 180,385.000 Person in 2020. This records an increase from the previous number of 180,232.000 Person for 2019. Burundi BI: Children Out of School: Primary: Female data is updated yearly, averaging 245,546.500 Person from Dec 1973 (Median) to 2020, with 32 observations. The data reached an all-time high of 350,028.000 Person in 2000 and a record low of 4,927.000 Person in 2011. Burundi BI: Children Out of School: Primary: Female data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Burundi – Table BI.World Bank.WDI: Social: Education Statistics. Children out of school are the number of primary-school-age children not enrolled in primary or secondary school.;UNESCO Institute for Statistics (UIS). UIS.Stat Bulk Data Download Service. Accessed September 30, 2024. https://apiportal.uis.unesco.org/bdds.;Sum;

Out of school children aged 8 of Northern jumped by 13.62% from 4,955 number in 2020 to 5,630 number in 2021. Since the 895.61% surge in 2019, out of school children aged 8 dropped by 11.37% in 2021.

Abstract

The World Bank team collaborated with UNICEF Armenia and jointly implemented four rounds of HFPS to assess household vulnerabilities and children welfare after the outbreak of the COVID-19 pandemic. The first wave (comprising surveys I & II) was conducted in July - December 2020, and the second wave in May - June 2021 (comprising surveys III & IV). These data will improve understating of the socio-economic consequences of the pandemic and restrictive measures on households and children and support the development of better response and recovery strategies for addressing COVID-19. The surveys included a sample of 4,556 households for Survey I, and 1,642 households with children for Survey II. The sample size is 2,026 for Survey III which includes modules on households with migrants, and it is 2,007 for Survey IV which contains modules focusing on households with children.

Geographic coverage

National coverage, representative at the national level and Yereban/Urban/Rural levels.

Analysis unit

Survey I: Household and adult over age of 18; Survey II: Household with children; Survey III: Household and adult over age of 18; households with migrants; Survey IV: Household and adult over age of 18; households with children

Kind of data

Sample survey data [ssd]

Sampling procedure

4,555 individuals were selected by Random Digit Dialing (RDD) for Survey I, out of which, 2,653 individuals were eligible for the follow-up interview in Survey II. Out of those eligible individuals, 1,648 from households with children younger than 18 years old were interviewed in Survey II.

Wave 2 (Surveys III & IV) is based on phone-interviews with application of Computer Assisted Telephone Interviews (CATI) and random digit dialing (RDD). The sampling frame is representative of the national and rural/urban/Yerevan population. Around 2,000 valid interviews were concluded with response rates around 30% in each round.

Mode of data collection

Computer Assisted Telephone Interview [cati]

Research instrument

The COVID-19 Armenia High Frequency Survey of Households and Children 2020, Wave 1, comprises the following modules: Survey I 1. Household roster 2. Demographics and employment 3. Knowledge of COVID-19 and behavior 4. Vulnerability and food security 5. Wellbeing and coping mechanisms 6. Family dynamics and personal wellbeing 7. Knowledge of child rights organizations

Survey II 1. Demography 2. Child's health 3. Children under two years old 4. Children from two to six years old 5. Children from six to eighteen years old 6. Internet skills and safety 7. Concerns

The COVID-19 Armenia High Frequency Survey, Wave 2, Survey III, comprises the following modules: 1. Household roster 2. Demographics and employment 3. Employment dynamics 4. Migration 5. Assets and access to internet 6. Prevalence of COVID-19 7. Income 8. Digital Payments: Usage and readiness

The COVID-19 Armenia High Frequency Survey, Wave 2, Survey IV, comprises the following modules: 1. Household roster 2. Demographics and employment 3. Employment Dynamics 4. Assets and Access to Internet 5. Income 6. Vulnerability and Food Security 7. Wellbeing 8. COVID-19 9. Children

Response rate

Response rates were around 30%.

Living Cost: Children: Average per Month: CF: Ryazan Region data was reported at 10,899.000 RUB in Dec 2020. This stayed constant from the previous number of 10,899.000 RUB for Sep 2020. Living Cost: Children: Average per Month: CF: Ryazan Region data is updated quarterly, averaging 5,644.000 RUB from Mar 2001 (Median) to Dec 2020, with 80 observations. The data reached an all-time high of 10,899.000 RUB in Dec 2020 and a record low of 1,242.000 RUB in Mar 2001. Living Cost: Children: Average per Month: CF: Ryazan Region data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Russia Premium Database’s Household Survey – Table RU.HF004: Living Cost: Children.

Source: SINGAPORE DEPARTMENT OF STATISTICS

Data Last Updated: 16/06/2021

Update Frequency: 10 years

Survey period: Census of Population 2020

Adapted from: https://tablebuilder.singstat.gov.sg/table/CT/17413

Out of school children aged 7 of Eastern sank by 86.42% from 37,911 number in 2020 to 5,147 number in 2021. Since the 23.05% jump in 2019, out of school children aged 7 plummeted by 85.96% in 2021.

Abstract

Since its inception in the mid-1990s, the Multiple Indicator Cluster Surveys programme, known as MICS, has become the largest source of statistically sound and internationally comparable data on children and women worldwide. In countries as diverse as Bangladesh, Thailand, Fiji, Qatar, Cote d’Ivoire, Turkmenistan and Argentina, trained fieldwork teams conduct face-to-face interviews with household members on a variety of topics – focusing mainly on those issues that directly affect the lives of children and women. MICS is an integral part of plans and policies of many governments around the world, and a major data source for more than 30 Sustainable Development Goals (SDGs) indicators. The MICS programme continues to evolve with new methodologies and initiatives, including MICS Plus, MICS Link, MICS GIS and the MICS Tabulator.

Geographic coverage

Kosovo under UNSC res. 1244 (Roma, Ashkali, and Egyptian Communities) The majority of MICS surveys are designed to be representative at the national level. Sample sizes are sufficient to generate robust data at the regional or provincial levels, and for urban and rural areas. Subnational surveys, covering specific population groups (such as Palestinians in Lebanon) or specific geographical areas (such as selected regions of East in Afghanistan) within countries are also conducted.

Analysis unit

Household, Individual

Sampling procedure

Sample sizes vary greatly from one survey to the other, currently averaging around 12,000 households (for national surveys).

The sample for the Multiple Indicator Cluster Survey (MICS) was designed to provide estimates on a large number of indicators on the situation of children and women at the national level, for areas of residence, and for geographical locations, such as regions, governorates, or districts. A multi-stage, stratified cluster sampling approach was typickly used for the selection of the survey sample. MICS6 surveys are not self-weighting. For reporting national level results, sample weights were used. A more detailed description of the sample design can be found in Appendix A of Final Report.

Mode of data collection

Face-to-face [f2f]

Research instrument

MICS questionnaires were designed by implementing agencies, typically the National Statistical Offices. In each country, MICS questionnaires were based on an assessment of the country’s data needs. The starting point were the standard MICS questionnaires designed by UNICEF’s Global MICS Team, in close coordination with experts, development partners and other international survey programmes. Countries chose from the MICS modules in the standard MICS questionnaires. UNICEF’s MICS experts supported implementing agencies to customize the questionnaires, as required, to the national setting. All survey activities, from sample and survey design, to fieldwork and report writing are carried out by the implementing agencies – with continuous technical support from UNICEF.

The sixth round of MICS included six model questionnaires: • Household Questionnaire • Water Quality Testing Questionnaire • The Questionnaire for Individual Women • The Questionnaire for Individual Men • The Questionnaire for Children Age 5-17 and • The Questionnaire for Children Under Five

The flexible, modular nature of MICS questionnaires makes it easy to remove modules which may not be relevant, and modules for which there is already good quality data from other sources.

Refer to tools page on mics.unicef.org for more detailed information on the flow of questionnaires and contents of the modules.

The child mortality rate in the United States, for children under the age of five, was 462.9 deaths per thousand births in 1800. This means that for every thousand babies born in 1800, over 46 percent did not make it to their fifth birthday. Over the course of the next 220 years, this number has dropped drastically, and the rate has dropped to its lowest point ever in 2020 where it is just seven deaths per thousand births. Although the child mortality rate has decreased greatly over this 220 year period, there were two occasions where it increased; in the 1870s, as a result of the fourth cholera pandemic, smallpox outbreaks, and yellow fever, and in the late 1910s, due to the Spanish Flu pandemic.

Burundi BI: Prevalence of Overweight: Weight for Height: % of Children Under 5 data was reported at 1.500 % in 2020. This records a decrease from the previous number of 2.800 % for 2019. Burundi BI: Prevalence of Overweight: Weight for Height: % of Children Under 5 data is updated yearly, averaging 1.500 % from Dec 1987 (Median) to 2020, with 7 observations. The data reached an all-time high of 2.900 % in 2010 and a record low of 1.300 % in 1987. Burundi BI: Prevalence of Overweight: Weight for Height: % of Children Under 5 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Burundi – Table BI.World Bank.WDI: Social: Health Statistics. Prevalence of overweight children is the percentage of children under age 5 whose weight for height is more than two standard deviations above the median for the international reference population of the corresponding age as established by the WHO's 2006 Child Growth Standards.;UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology.;See SH.STA.OWGH.ME.ZS for aggregation;Estimates of overweight children are from national survey data. Once considered only a high-income economy problem, overweight children have become a growing concern in developing countries. Research shows an association between childhood obesity and a high prevalence of diabetes, respiratory disease, high blood pressure, and psychosocial and orthopedic disorders (de Onis and Blössner 2003). Childhood obesity is associated with a higher chance of obesity, premature death, and disability in adulthood. In addition to increased future risks, obese children experience breathing difficulties and increased risk of fractures, hypertension, early markers of cardiovascular disease, insulin resistance, and psychological effects. Children in low- and middle-income countries are more vulnerable to inadequate nutrition before birth and in infancy and early childhood. Many of these children are exposed to high-fat, high-sugar, high-salt, calorie-dense, micronutrient-poor foods, which tend be lower in cost than more nutritious foods. These dietary patterns, in conjunction with low levels of physical activity, result in sharp increases in childhood obesity, while under-nutrition continues.

Out of school children aged 14 of North-Western rocketed by 56.18% from 4,872 number in 2020 to 7,609 number in 2021. Since the 8.22% surge in 2019, out of school children aged 14 shot up by 75.65% in 2021.

Abstract copyright UK Data Service and data collection copyright owner.Gender and Adolescence: Global Evidence (GAGE) is a ten-year (2015-2025) research programme, funded by UK Aid from the UK Foreign, Commonwealth and Development Office (FCDO), that seeks to combine longitudinal data collection and a mixed-methods approach to understand the lives of adolescents in particularly marginalized regions of the Global South, and to uncover 'what works' to support the development of their capabilities over the course of the second decade of life, when many of these individuals will go through key transitions such as finishing their education, starting to work, getting married and starting to have children.GAGE undertakes longitudinal research in seven countries in Africa (Ethiopia, Rwanda), Asia (Bangladesh, Nepal) and the Middle East (Jordan, Lebanon, Palestine). Sampling adolescent girls and boys aged between 10‐19‐year olds, the quantitative survey follows a global total of 18,000 adolescent girls and boys, and their caregivers and explores the effects that programme have on their lives. This is substantiated by in‐depth qualitative and participatory research with adolescents and their peers. Its policy and legal analysis work stream studies the processes of policy change that influence the investment in and effectiveness of adolescent programming.Further information, including publications, can be found on the Overseas Development Institute GAGE website. Gender and Adolescence: Global Evidence: Ethiopia Round 2, 2019-2020 extends the GAGE quantitative research in Ethiopia for a second round. A sample of nearly 8,600 adolescent boys and girls was sought, including nearly 7,000 adolescents surveyed in an earlier Baseline round (available from the UK Data Archive under SN 8597), as well as approximately 1,600 new adolescents. The main purpose of this survey was to gather information on the lives of Ethiopian adolescents living in urban and rural locations in the Amhara, Oromiya, and Afar regions, and to understand their changing lives and challenges. At the time of data collection, adolescents were primarily aged 12-14 and 17-19. The sample includes both randomly and purposefully sampled adolescents, and their female caregivers were also surveyed where possible. The current data release includes information for the subset of individuals who are not part of an ongoing randomized evaluation of adolescent-centric programming. A total of nearly 5,000 adolescents and their caregivers are included in the current release. Main Topics: The Core Respondent (CR) dataset contains data from the survey administered to the CR and covers education, time allocation, paid work, health and nutrition, psychosocial and mental health, mobility and voice, social inclusion, marriage and relationships, financial inclusion and economic empowerment, and information and communication technologies. The Adult Female (AF) dataset contains information on the household, including the household roster, family background, durable goods, dwelling characteristics, access to productive capital, recent positive and negative shocks, and household access to programs and support. In addition, the AF survey contains detailed information about the AF herself, such as parenting, health and nutrition, attitudes to gender equality, marriage, fertility and social norms. Purposive selection/case studies Multi-stage stratified random sample Face-to-face interview: Computer-assisted (CAPI/CAMI) 2019 2020 ACCESS TO EDUCATION ACCESS TO HEALTH SE... ACCESS TO INFORMATI... ACTIVITIES OF DAILY... ADOLESCENCE ADOLESCENTS AGE ALCOHOL USE ANIMAL HUSBANDRY ANXIETY ARRANGED MARRIAGES ATTITUDES BANK ACCOUNTS BIRTH CONTROL CHILDREN CREDIT DEVELOPING COUNTRIES DEVELOPMENT PROGRAMMES DISABILITIES EDUCATIONAL BACKGROUND EDUCATIONAL CHOICE EDUCATIONAL FACILITIES EDUCATIONAL STATUS EMOTIONAL STATES ENERGY CONSUMPTION Education Ethiopia FAMILY INFLUENCE FAMILY PLANNING FATHER S EDUCATIONA... FATHERS FINANCIAL DIFFICULTIES FOOD FOOD AND NUTRITION GENDER EQUALITY GENDER ROLE Gender and gender r... HEADS OF HOUSEHOLD HEALTH STATUS HEARING IMPAIRMENTS HOUSEHOLD BUDGETS HOUSEHOLDERS HOUSEHOLDS HOUSING CONDITIONS ILL HEALTH INFORMAL CARE INFORMATION SOURCES INTERNAL MIGRATION INTERNET ACCESS INTERNET USE LAND OWNERSHIP LAVATORIES LEISURE TIME ACTIVI... LIFE SATISFACTION LITERACY LIVESTOCK LOANS MARITAL HISTORY MARITAL STATUS MENSTRUATION MOBILE PHONES MORAL VALUES MOTHERS PARENTAL ENCOURAGEMENT PARENTAL ROLE PERSONAL FINANCE MA... PERSONAL SAFETY PHYSICAL MOBILITY PLACE OF BIRTH PREGNANCY QUALITY OF LIFE RELIGIOUS AFFILIATION RELIGIOUS BEHAVIOUR RESIDENTIAL MOBILITY ROOMS SAVINGS SCHOOL PUNISHMENTS SCHOOLS SEX SEX DISCRIMINATION SOCIAL ATTITUDES SOCIAL INEQUALITY SOCIAL VALUES STRUCTURAL ELEMENTS... STUDENT EMPLOYMENT STUDENT TRANSPORTATION Society and culture TELEVISION VIEWING TIME BUDGETS TRUANCY UNEARNED INCOME VISION IMPAIRMENTS WATER RESOURCES Youth

The child mortality rate in Iceland, for children under the age of five, was 412 deaths per thousand births in 1825. This means that for every thousand babies born in 1825, over 41 percent did not make it to their fifth birthday. Over the course of the next 195 years, this number has dropped drastically, and the rate has dropped to its lowest point ever in 2020 where it is just two deaths per thousand births, which is the lowest of any country in the world.

Abstract

Since its inception in the mid-1990s, the Multiple Indicator Cluster Surveys programme, known as MICS, has become the largest source of statistically sound and internationally comparable data on children and women worldwide. In countries as diverse as Bangladesh, Thailand, Fiji, Qatar, Cote d’Ivoire, Turkmenistan and Argentina, trained fieldwork teams conduct face-to-face interviews with household members on a variety of topics – focusing mainly on those issues that directly affect the lives of children and women. MICS is an integral part of plans and policies of many governments around the world, and a major data source for more than 30 Sustainable Development Goals (SDGs) indicators. The MICS programme continues to evolve with new methodologies and initiatives, including MICS Plus, MICS Link, MICS GIS and the MICS Tabulator.

Geographic coverage

Samoa The majority of MICS surveys are designed to be representative at the national level. Sample sizes are sufficient to generate robust data at the regional or provincial levels, and for urban and rural areas. Subnational surveys, covering specific population groups (such as Palestinians in Lebanon) or specific geographical areas (such as selected regions of East in Afghanistan) within countries are also conducted.

Analysis unit

Household, Individual

Sampling procedure

Sample sizes vary greatly from one survey to the other, currently averaging around 12,000 households (for national surveys).

The sample for the Multiple Indicator Cluster Survey (MICS) was designed to provide estimates on a large number of indicators on the situation of children and women at the national level, for areas of residence, and for geographical locations, such as regions, governorates, or districts. A multi-stage, stratified cluster sampling approach was typickly used for the selection of the survey sample. MICS6 surveys are not self-weighting. For reporting national level results, sample weights were used. A more detailed description of the sample design can be found in Appendix A of Final Report.

Mode of data collection

Face-to-face [f2f]

Abstract

The World Bank has launched a quick-deploying high-frequency phone-monitoring survey of households to generate near real-time insights on the socio-economic impact of COVID-19 on households which hence to be used to support evidence-based response to the crisis. At a moment when all conventional modes of data collection have had to be suspended, a phone-based rapid data collection/tracking tool can generate large payoffs by helping identify affected populations across the vast archipelago as the contagion spreads, identify with a high degree of granularity the mechanisms of socio-economic impact, identify gaps in public policy response as the Government responds, generating insight that could be useful in scaling up or redirecting resources as necessary as the affected population copes and eventually regains economic footing.

Analysis unit

Household-level; Individual-level: household primary breadwinners, respondent, student, primary caregivers, and under-5 years old kids

Sampling procedure

The sampling frame of the Indonesia high-frequency phone-based monitoring of socio-economic impacts of COVID-19 on households was the list of households enumerated in three recent World Bank surveys, namely Urban Survey (US), Rural Poverty Survey (RPS), and Digital Economy Household Survey (DEHS). The US was conducted in 2018 with 3,527 sampled households living in the urban areas of 10 cities and 2 districts in 6 provinces. The RPS was conducted in 2019 with the sample size of 2,404 households living in rural areas of 12 districts in 6 provinces. The DEHS was conducted in 2020 with 3,107 sampled households, of which 2,079 households lived in urban areas and 1,028 households lived in rural areas in 26 districts and 31 cities within 27 provinces. Overall, the sampled households drawn from the three surveys across 40 districts and 35 cities in 27 provinces (out of 34 provinces). For the final sampling frame, six survey areas of the DEHS which were overlapped with the survey areas in the UPS were dropped from the sampling frame. This was done in order to avoid potential bias later on when calculating the weights (detailed below). The UPS was chosen to be kept since it had much larger samples (2,016 households) than that of the DEHS (265 households). Three stages of sampling strategies were applied. For the first stage, districts (as primary sampling unit (PSU)) were selected based on probability proportional to size (PPS) systematic sampling in each stratum, with the probability of selection was proportional to the estimated number of households based on the National Household Survey of Socio-economic (SUSENAS) 2019 data. Prior to the selection, districts were sorted by provincial code.

In the second stage, villages (as secondary sampling unit (SSU)) were selected systematically in each district, with probability of selection was proportional to the estimated number of households based on the Village Potential Census (PODES) 2018 data. Prior to the selection, villages were sorted by sub-district code. In the third stage, the number of households was selected systematically in each selected village. Prior to the selection, all households were sorted by implicit stratification, that is gender and education level of the head of households. If the primary selected households could not be contacted or refused to participate in the survey, these households were replaced by households from the same area where the non-response households were located and with the same gender and level of education of households’ head, in order to maintain the same distribution and representativeness of sampled households as in the initial design.

In the Round 8 survey where we focused on early nutrition knowledge and early child development, we introduced an additional respondent who is the primary caregiver of under 5 years old in the household. We prioritized the mother as the target of caregiver respondents. In households with multiple caregivers, one is randomly selected. Furthermore, only the under 5 children who were taken care of by the selected respondent will be listed in the early child development module.

Mode of data collection

Computer Assisted Telephone Interview [cati]

Research instrument

The questionnaire in English is provided for download under the Documentation section.

Response rate

The HiFy survey was initially designed as a 5-round panel survey. By end of the fifth round, it is expected that the survey can maintain around 3,000 panel households. Based on the experience of phone-based, panel survey conducted previously in other study in Indonesia, the response rates were expected to be around 60 percent to 80 percent. However, learned from other similar surveys globally, response rates of phone-based survey, moreover phone-based panel survey, are generally below 50 percent. Meanwhile, in the case of the HiFy, information on some of households’ phone numbers was from about 2 years prior the survey with a potential risk that the targeted respondents might not be contactable through that provided numbers (already inactive or the targeted respondents had changed their phone numbers). With these considerations, the estimated response rate of the first survey was set at 60 percent, while the response rates of the following rounds were expected to be 80 percent. Having these assumptions and target, the first round of the survey was expected to target 5,100 households, with 8,500 households in the lists. The actual sample of households in the first round was 4,338 households or 85 percent of the 5,100 target households. However, the response rates in the following rounds are higher than expected, making the sampled households successfully interviewed in Round 2 were 4,119 (95% of Round 1 samples), and in Rounds 3, 4, 5, 6, 7, and 8 were 4,067 (94%), 3,953 (91%), 3,686 (85%), 3,471 (80%), 3,435 (79%), 3,383 (78%) respectively. The number of balanced panel households up to Rounds 3, 4, 5, 6, 7, and 8 are 3,981 (92%), 3,794 (87%), 3,601 (83%), 3,320 (77%), 3,116 (72%), and 2,856 (66%) respectively.

Note: For information on data collection, confidentiality protection, nonsampling error, and definitions, see the 2020 Island Areas Censuses Technical Documentation..Due to COVID-19 restrictions impacting data collection for the 2020 Census of American Samoa, data tables reporting social and economic characteristics do not include the group quarters population in the table universe. As a result, impacted 2020 data tables should not be compared to 2010 and other past census data tables reporting the same characteristics. The Census Bureau advises data users to verify table universes are the same before comparing data across census years. For more information about data collection limitations and the impacts on American Samoa's data products, see the 2020 Island Areas Censuses Technical Documentation..Explanation of Symbols: 1.An "-" means the statistic could not be computed because there were an insufficient number of observations. 2. An "-" following a median estimate means the median falls in the lowest interval of an open-ended distribution.3. An "+" following a median estimate means the median falls in the upper interval of an open-ended distribution.4. An "N" means data are not displayed for the selected geographic area due to concerns with statistical reliability or an insufficient number of cases.5. An "(X)" means not applicable..Source: U.S. Census Bureau, 2020 Census, American Samoa.

Note: For information on data collection, confidentiality protection, nonsampling error, and definitions, see the 2020 Island Areas Censuses Technical Documentation..Due to COVID-19 restrictions impacting data collection for the 2020 Census of American Samoa, data tables reporting social and economic characteristics do not include the group quarters population in the table universe. As a result, impacted 2020 data tables should not be compared to 2010 and other past census data tables reporting the same characteristics. The Census Bureau advises data users to verify table universes are the same before comparing data across census years. For more information about data collection limitations and the impacts on American Samoa's data products, see the 2020 Island Areas Censuses Technical Documentation..Explanation of Symbols: 1.An "-" means the statistic could not be computed because there were an insufficient number of observations. 2. An "-" following a median estimate means the median falls in the lowest interval of an open-ended distribution.3. An "+" following a median estimate means the median falls in the upper interval of an open-ended distribution.4. An "N" means data are not displayed for the selected geographic area due to concerns with statistical reliability or an insufficient number of cases.5. An "(X)" means not applicable..Source: U.S. Census Bureau, 2020 Census, American Samoa.

Bivariate analysis of patients characteristics and change in mouth opening (mm) of noma patients at the MSF supported "Noma Children Hospital" in Sokoto, Nigeria between May 2018-May 2020.