The National Survey of Children’s Health (NSCH) is sponsored by the Maternal and Child Health Bureau of the Health Resources and Services Administration, an Agency in the U.S. Department of Health and Human Services.The NSCH examines the physical and emotional health of children ages 0-17 years of age. Special emphasis is placed on factors related to the well-being of children. These factors include access to - and quality of - health care, family interactions, parental health, neighborhood characteristics, as well as school and after-school experiences.The NSCH is also designed to assess the prevalence and impact of special health care needs among children in the US and explores the extent to which children with special health care needs (CSHCN) have medical homes, adequate health insurance, access to needed services, and adequate care coordination. Other topics may include functional difficulties, transition services, shared decision-making, and satisfaction with care. Information is collected from parents or caregivers who know about the child's health.

The National Survey of Children's Health, 2007, funded by the Maternal and Child Health Bureau (MCHB), Health Resources and Services Administration, is a module of the State and Local Area Integrated Telephone Survey (SLAITS) conducted by the Centers for Disease Control and Prevention's (CDC) National Center for Health Statistics (NCHS). The National Survey of Children's Health (NSCH) was designed to produce national and state-specific prevalence estimates for a variety of physical, emotional, and behavioral health indicators and measures of children's experiences with the health care system. The survey was conducted to assess how well each state, and the nation as a whole, met MCHB's strategic plan goals and national performance measures. These goals include providing national leadership for maternal and child health, promoting an environment that supports maternal and child health, eliminating health barriers and disparities, improving the health infrastructure and systems of care, assuring quality care, working with states and communities to plan and implement policies and programs to improve the social, emotional, and physical environment, and acquiring the best available evidence to develop and promote guidelines and practices to assure a social, emotional, and physical environment that supports the health and well-being of women and children. The NSCH addresses a variety of physical, emotional, and behavioral health indicators and measures of children's health experiences with the health care system. The survey also includes an extensive battery of questions about the family, including parental health, stress and coping behaviors, family activities, and parental concerns about their children, as well as their perceptions of the child's neighborhood. Demographic information collected includes race, gender, family income, and education level.

This dataset tracks the updates made on the dataset "National Survey of Children’s Health (NSCH) – Vision and Eye Health Surveillance" as a repository for previous versions of the data and metadata.

Original Dataset: https://www.census.gov/programs-surveys/nsch/data/datasets.html

Dataset documentation: https://www2.census.gov/programs-surveys/nsch/technical-documentation/codebook/2023-NSCH-Topical-Variable-List.pdf

This dataset is the 'topical' part only.

The National Survey of Children’s Health (NSCH) is sponsored by the Maternal and Child Health Bureau of the Health Resources and Services Administration, an Agency in the U.S. Department of Health and Human Services.

The NSCH examines the physical and emotional health of children ages 0-17 years of age. Special emphasis is placed on factors related to the well-being of children. These factors include access to - and quality of - health care, family interactions, parental health, neighborhood characteristics, as well as school and after-school experiences.

The NSCH is also designed to assess the prevalence and impact of special health care needs among children in the US and explores the extent to which children with special health care needs (CSHCN) have medical homes, adequate health insurance, access to needed services, and adequate care coordination. Other topics may include functional difficulties, transition services, shared decision-making, and satisfaction with care. Information is collected from parents or caregivers who know about the child's health.

2016-17 merged. This dataset is a de-identified summary table of vision and eye health data indicators from the National Survye of Chilrens Health (NSCH), stratified by all available combinations of age group, race/ethnicity, gender, risk factor and state. NSCH is a telephone survey conducted by the National Center for Health Statistics at CDC (currently conducted by the U.S. Census Bureau) that examines the physical and emotional health of children 0-17 years of age. Approximate sample size is 95,000 over two rounds of data collection. Data were suppressed for cell sizes less than 30 persons, or where the relative standard error more than 30% of the mean. Detailed information on VEHSS NSCH analyses can be found on the VEHSS NSCH webpage (cdc.gov/visionhealth/vehss/data/national-surveys/national-survey-of-childrens-health.html). Additional information about NSCH can be found on the NSCH website (http://childhealthdata.org/learn/NSCH). The VEHSS NSCH dataset was last updated in November 2019.

Nationally representative, longitudinal data describing functioning of and services for children who are reported to child protective services

Abstract

The Tanzania Demographic and Health Survey (TDHS) is part of the worldwide Demographic and Health Surveys (DHS) programme, which is designed to collect data on fertility, family planning, and maternal and child health.

The primary objective of the 1999 TRCHS was to collect data at the national level (with breakdowns by urban-rural and Mainland-Zanzibar residence wherever warranted) on fertility levels and preferences, family planning use, maternal and child health, breastfeeding practices, nutritional status of young children, childhood mortality levels, knowledge and behaviour regarding HIV/AIDS, and the availability of specific health services within the community.1 Related objectives were to produce these results in a timely manner and to ensure that the data were disseminated to a wide audience of potential users in governmental and nongovernmental organisations within and outside Tanzania. The ultimate intent is to use the information to evaluate current programmes and to design new strategies for improving health and family planning services for the people of Tanzania.

Geographic coverage

National. The sample was designed to provide estimates for the whole country, for urban and rural areas separately, and for Zanzibar and, in some cases, Unguja and Pemba separately.

Analysis unit

• Households
• Children under five years
• Women age 15-49
• Men age 15-59

Kind of data

Sample survey data

Sampling procedure

The TRCHS used a three-stage sample design. Overall, 176 census enumeration areas were selected (146 on the Mainland and 30 in Zanzibar) with probability proportional to size on an approximately self-weighting basis on the Mainland, but with oversampling of urban areas and Zanzibar. To reduce costs and maximise the ability to identify trends over time, these enumeration areas were selected from the 357 sample points that were used in the 1996 TDHS, which in turn were selected from the 1988 census frame of enumeration in a two-stage process (first wards/branches and then enumeration areas within wards/branches). Before the data collection, fieldwork teams visited the selected enumeration areas to list all the households. From these lists, households were selected to be interviewed. The sample was designed to provide estimates for the whole country, for urban and rural areas separately, and for Zanzibar and, in some cases, Unguja and Pemba separately. The health facilities component of the TRCHS involved visiting hospitals, health centres, and pharmacies located in areas around the households interviewed. In this way, the data from the two components can be linked and a richer dataset produced.

See detailed sample implementation in the APPENDIX A of the final report.

Mode of data collection

Face-to-face

Research instrument

The household survey component of the TRCHS involved three questionnaires: 1) a Household Questionnaire, 2) a Women’s Questionnaire for all individual women age 15-49 in the selected households, and 3) a Men’s Questionnaire for all men age 15-59.

The health facilities survey involved six questionnaires: 1) a Community Questionnaire administered to men and women in each selected enumeration area; 2) a Facility Questionnaire; 3) a Facility Inventory; 4) a Service Provider Questionnaire; 5) a Pharmacy Inventory Questionnaire; and 6) a questionnaire for the District Medical Officers.

All these instruments were based on model questionnaires developed for the MEASURE programme, as well as on the questionnaires used in the 1991-92 TDHS, the 1994 TKAP, and the 1996 TDHS. These model questionnaires were adapted for use in Tanzania during meetings with representatives from the Ministry of Health, the University of Dar es Salaam, the Tanzania Food and Nutrition Centre, USAID/Tanzania, UNICEF/Tanzania, UNFPA/Tanzania, and other potential data users. The questionnaires and manual were developed in English and then translated into and printed in Kiswahili.

The Household Questionnaire was used to list all the usual members and visitors in the selected households. Some basic information was collected on the characteristics of each person listed, including his/her age, sex, education, and relationship to the head of the household. The main purpose of the Household Questionnaire was to identify women and men who were eligible for individual interview and children under five who were to be weighed and measured. Information was also collected about the dwelling itself, such as the source of water, type of toilet facilities, materials used to construct the house, ownership of various consumer goods, and use of iodised salt. Finally, the Household Questionnaire was used to collect some rudimentary information about the extent of child labour.

The Women’s Questionnaire was used to collect information from women age 15-49. These women were asked questions on the following topics: · Background characteristics (age, education, religion, type of employment) · Birth history · Knowledge and use of family planning methods · Antenatal, delivery, and postnatal care · Breastfeeding and weaning practices · Vaccinations, birth registration, and health of children under age five · Marriage and recent sexual activity · Fertility preferences · Knowledge and behaviour concerning HIV/AIDS.

The Men’s Questionnaire covered most of these same issues, except that it omitted the sections on the detailed reproductive history, maternal health, and child health. The final versions of the English questionnaires are provided in Appendix E.

Before the questionnaires could be finalised, a pretest was done in July 1999 in Kibaha District to assess the viability of the questions, the flow and logical sequence of the skip pattern, and the field organisation. Modifications to the questionnaires, including wording and translations, were made based on lessons drawn from the exercise.

Response rate

In all, 3,826 households were selected for the sample, out of which 3,677 were occupied. Of the households found, 3,615 were interviewed, representing a response rate of 98 percent. The shortfall is primarily due to dwellings that were vacant or in which the inhabitants were not at home despite of several callbacks.

In the interviewed households, a total of 4,118 eligible women (i.e., women age 15-49) were identified for the individual interview, and 4,029 women were actually interviewed, yielding a response rate of 98 percent. A total of 3,792 eligible men (i.e., men age 15-59), were identified for the individual interview, of whom 3,542 were interviewed, representing a response rate of 93 percent. The principal reason for nonresponse among both eligible men and women was the failure to find them at home despite repeated visits to the household. The lower response rate among men than women was due to the more frequent and longer absences of men.

The response rates are lower in urban areas due to longer absence of respondents from their homes. One-member households are more common in urban areas and are more difficult to interview because they keep their houses locked most of the time. In urban settings, neighbours often do not know the whereabouts of such people.

Sampling error estimates

The estimates from a sample survey are affected by two types of errors: (1) non-sampling errors, and (2) sampling errors. Non-sampling errors are the results of mistakes made in implementing data collection and data processing, such as failure to locate and interview the correct household, misunderstanding of the questions on the part of either the interviewer or the respondent, and data entry errors. Although numerous efforts were made during the implementation of the TRCHS to minimise this type of error, nonsampling errors are impossible to avoid and difficult to evaluate statistically.

Sampling errors, on the other hand, can be evaluated statistically. The sample of respondents selected in the TRCHS is only one of many samples that could have been selected from the same population, using the same design and expected size. Each of these samples would yield results that differ somewhat from the results of the actual sample selected. Sampling errors are a measure of the variability between all possible samples. Although the degree of variability is not known exactly, it can be estimated from the survey results.

A sampling error is usually measured in terms of the standard error for a particular statistic (mean, percentage, etc.), which is the square root of the variance. The standard error can be used to calculate confidence intervals within which the true value for the population can reasonably be assumed to fall. For example, for any given statistic calculated from a sample survey, the value of that statistic will fall within a range of plus or minus two times the standard error of that statistic in 95 percent of all possible samples of identical size and design.

If the sample of respondents had been selected as a simple random sample, it would have been possible to use straightforward formulas for calculating sampling errors. However, the TRCHS sample is the result of a two-stage stratified design, and, consequently, it was necessary to use more complex formulae. The computer software used to calculate sampling errors for the TRCHS is the ISSA Sampling Error Module (SAMPERR). This module used the Taylor linearisation method of variance estimation for survey estimates that are means or proportions. The Jackknife repeated replication method is used for variance estimation of more complex statistics such as fertility and mortality rate

Note: See detailed sampling error calculation in the APPENDIX B

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

This survey provides nationally representative estimates on the characteristics, living arrangements, and service accessibility of noninstitutionalized children who were living apart from their parents (in foster care, grandparent care or other nonparental care) and who were aged 0 to 16 years in 2011-2012. Data on the well-being of the children and of their caregivers are also available. The children’s nonparental care status was identified in a previous SLAITS survey, the 2011-2012 National Survey of Children’s Health. Units of Response: Caregiver Type of Data: Survey Tribal Data: No Periodicity: One-time Demographic Indicators: Disability;Ethnicity;Household Income;Household Size;Housing Status;Race;Sex SORN: https://www.federalregister.gov/documents/2022/09/19/2022-20139/privacy-act-of-1974-system-of-records Data Use Agreement: No Data Use Agreement Location: Unavailable Granularity: Household Spatial: United States Geocoding: Unavailable

Abstract

The Yemen Demographic and Maternal and Child Health Survey (YDMCHS) is the first national survey conducted in Yemen since unification of the country. It was designed to collect data on households, ever-married women of reproductive age, and children under age five. The subjects covered in the household survey were: characteristics of households, housing and living conditions, school enrollment, labor force participation, general mortality, disability, fertility, and child survival. The areas covered in the survey of women of reproductive age were: demographic and socioeconomic characteristics, marriage and reproductive history, fertility regulation and preferences, antenatal care, breastfeeding, and child care. For children under five in the survey, the topics included diarrheal and other morbidity, nutritional supplementation, accidents, vaccination, and nutritional status.

The survey was carried out as a part of the DHS program and also the PAPCHILD program. The DHS program is assisting governments and private agencies in the implementation of household surveys in developing countries; PAPCHILD has similar goals for developing countries in the Arab League. The main objectives of the DHS project are to: (a) provide decision makers with a data base and analyses useful for informed policy choices, (b) expand the international population and health data base, (c) advance survey methodology, and (d) develop skills and resources necessary to conduct high quality demographic and health surveys in the participating countries.

The YDMCHS was specifically aimed at furnishing information on basic population and household characteristics, maternal and child health, fertility, family planning, and infant and child mortality in Yemen. The survey also presents information on breastfeeding practices and the nutritional status of children under age five. The survey will provide policymakers and planners with important information for use in formulating programs and policies regarding maternal and child health, child mortality, and reproductive behavior.

Geographic coverage

National

Analysis unit

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

Kind of data

Sample survey data

Sampling procedure

SAMPLE DESIGN AND IMPLEMENTATION

The YDMCHS sample was designed to enable data analysis for Yemen as a whole, and separately for urban and rural areas, and for two regions: (1) the Northern and Western governorates, and (2) the Southern and Eastern governorates. The target sample was set at completed interviews for about 12,000 households with about 6,000 eligible women. No target number was fixed for children under five, for whom information was to be collected for all children in each household that was selected for the women's interview. In half of the selected households, only the Household Questionnaire was administered; in the other half, in addition to administering the Household Questionnaire, all eligible women were interviewed and information on eligible children was collected.

The YDMCHS covered the entire country, except for nomadic peoples and those living on hard-to-reach Yemeni islands. The survey adopted a stratified, multi-stage sampling design. The sample was stratified by urban and rural areas in the two regions. In this report, the Northern and Western governorates region includes: Sana'a City and the governorates of Sana'a, Taiz, Hodeidah, lbb, Dhamar, Hajjah, A1-Beida, Sa'adah, AI-Mahweet, Ma'areb, and AI-Jawf. The Southern and Eastern governorates region consists of Aden, Laheg, Abyen, Shabwah, Hadramout, and AI-Mahrah govemoratcs. In the first stage, sampling units or clusters were selected; the second stage involved selection of households. The initial objective of having a self-weighted sample was compromised in order to have reliable estimates for urban and rural areas within each region. Sana'a City, the urban (not rural) areas of Aden, and the rural areas of Laheg were oversampled.

For the survey, 258 sampling units were selected, which contained 13,712 households. In half of the selected households, only the Household and Housing Characteristics Questionnaires were administered. In the other half, the Women's and Child's Questionnaires were also administered to all eligible women and children.

Note: See detailed description of sample design in APPENDIX B of the final survey report.

Mode of data collection

Face-to-face

Research instrument

Design, Preparation and Revision of Questionnaires

The YDMCHS survey includes the following questionnaires: - Household Questionnaire - Housing Characteristics Questionnaire - Reproductive Health Questionnaire (also called the Women's Questionnaire - Child Health Questionnaire (also called the Children's Questionnaire) - Community Questionnaire

The items included in these questionnaires were selected after reviewing similar surveys such as those carried out by the Pan Arab Project for Child Development (PAPCHILD), which was sponsored by the Arab League Organization, and the model questionnaires of the Demographic and Health Surveys (DHS) in Calverton, Maryland, USA. The final YDMCHS questionnaires were mainly based on PAPCHILD's model questionnaires. The questionnaires were modified to suit the conditions of Yemen society and to meet the information requirements of the country. A large number of questions were included in the YDMCHS questionnaires in order to obtain as much information as possible on demographic and population dynamics, health and environmental issues, other indicators of standards of living, housing conditions, maternal and child health, and characteristics of local communities regarding provision of health services. English versions of the questionnaires (except the Community Questionnaire) are reproduced in Appendix E.

The Household Questionnaire consists of a household roster, including questions on orphan hood, education level and economic activity of household members. It also collects information on general mortality, disability and, for ever-married women under age 55, information on fertility and child survival.

The Housing Characteristics Questionnaire was administered as pan of the household survey. It includes eight sections: housing, cooking, water, lighting, sanitation, and waste disposal, ownership of objects and assets, and drainage.

The YDMCHS Women's Questionnaire or Reproductive Health Questionnaire consists of nine sections: - Respondent's background - Marriage and co-residence - Reproduction and child survival - Antenatal care: current pregnancy - Maternal care: the last five years - Child feeding - Cause of death for children who died - Family planning and childbearing attitudes - Husband's background

The Child Health Questionnaire, which is also referred to as Children's Questionnaire, consists of six sections: - General child care - Morbidity: diarrhea - Morbidity: other illnesses - Immunization - Weight and height

Cleaning operations

Editing and Coding

Data preparation began one week after the start of fieldwork and continued simultaneously with the fieldwork activities. Field editors checked the questionnaires for completeness and consistency. Field supervisors also checked completed questionnaires on a sample basis. Completed questionnaires were then sent to the central office in Sana'a or brought by staff when they returned after visiting the teams. In the central office in Sana'a the questionnaires were edited again, and open-ended and other questions requiring coding were coded. This stage started on 22 November 1991 and was completed by the end of January 1992.

Response rate

Of the 13,712 households selected for inclusion in the survey, 13,206 were found and 12,836, or 97 percent, were successfully interviewed. In all, 6,150 ever-married women age 15-49 years were identified in the households selected for individual interviews. Of these, 5,687 women were successfully interviewed and information was collected for 6,715 of 7,022 eligible children under five. The response rates for eligible women and children are 93 and 96 percent, respectively. The response rates for urban and rural areas are almost the same. The main reason for not completing some household interviews was that the dwellings were vacant at the time of fieldwork, although they were occupied when the household listing was carried out. The principal reason for non-response in the case of eligible women was that respondents were not at home despite repeated visits by interviewers to the selected households.

Note: See summarized response rates by place of residence in Table 1.1 of the final survey report.

Sampling error estimates

The results from sample surveys are affected by two types of errors, non-sampling error and sampling error. Non-sampling error is due to mistakes made in carrying out field activities, such as failure to locate and interview the correct household, errors in the way the questions are asked, misunderstanding on the part of either the interviewer or the respondent, data entry errors, etc. Although efforts were made during the design and implementation of the YDMCHS to minimize this type of error, non-sampling errors are impossible to avoid and difficult to evaluate statistically.

Sampling errors, on the other hand, can be measured statistically. The sample of women selected in the YDMCHS is only one of many samples that could have been selected from the same population, using the same design and expected size. Each one would have yielded results that differed somewhat from the actual sample selected. The sampling error is a measure of the variability between all

Sample characteristics, national survey of children’s health, 2020.

The National Family Health Survey (NFHS) is a large-scale, multi-round survey conducted in a representative sample of households throughout India. The survey is conducted by the Ministry of Health and Family Welfare, in collaboration with the International Institute for Population Sciences (IIPS) and other partner organizations. The NFHS is conducted periodically and provides important information on a wide range of health and social indicators, such as fertility, infant and child mortality, maternal and child health, nutrition, family planning, HIV/AIDS, and other health-related issues. The survey is designed to provide reliable data at the national, state, and district levels, and the results are widely used by policymakers, researchers, and program managers to inform policy and programs related to health and development.

The dataset contains state-wise National Family Health Survey (NFHS) compiled data on various family planning, childbirth, population, medical, health and other parameters which provide statistical indicators data on family profile and health status in India. There are 100+ indicators covered in the survey which broadly fall in the following categories: Health and Wellness, Maternal and Child Health, Family Planning and Reproductive Health, Disease Screening and Prevention, Social and Economic Factors, General Healthcare and Treatment

The different types of health data contained in the dataset include Anaemia among women and children, blood sugar levels and hypertension among men and women, tobacco and alcohol consumption among adults, delivery care and child feeding practices of women, quality of family planning services, screening of cancer among women, marriage and family, maternity care, nutritional status of women, child vaccinations and vitamin A supplementation, treatment of childhood diseases, etc.

Within these categories of health data, the dataset contains indicators data such as births attended by skilled health care professionals and caesarean section, number of children with under and heavy weight, stunted growth, their different vaccations status, male and female sterilization, consumption of iron folic acid among mothers, mother who had antenatal, postnatal, neonatal services, women who are obese and at the risk of weight to hip ratio, educational status among women and children, sanitation, birth and sex ratio, etc.

All of the data is compiled from the NFHS 4th and 5th survey reports. The The NFHS is a collaborative project of the International Institute for Population Sciences(IIPS), aimed at providing health data to strengthen India's health policies and programmes.

There are 100+ indicators covered in the survey which broadly fall in the following categories: Health and Wellness, Maternal and Child Health, Family Planning and Reproductive Health, Disease Screening and Prevention, Social and Economic Factors, General Healthcare and Treatment

Abstract

The 1995 Kazakstan Demographic and Health Survey (KDHS) is part of the worldwide Demographic and Health Surveys (DHS) program, which is designed to collect data on fertility, family planning and maternal and child health. The 1995 KDHS was the first national level population and health survey in Kazakstan. The purpose of the survey was to provide the Ministry of Health of Kazakstan with information on fertility, reproductive practices of women, maternal care, child health and mortality, child nutrition practices, breastfeeding, nutritional status and anemia. This information is important for understanding the factors that influence the reproductive health of women and the health and survival of infants and young children. It can be used in planning effective policies and programs regarding the health and nutrition of women and their children. This is especially important now during this the time of economic transition which involves virtually all aspects of life for the people of Kazakstan. The survey provides data important to the assessment of the overall demographic situation in the country. It is expected that the findings of the KDHS will become a useful source of information necessary for the ongoing health care reform in Kazakstan.

Geographic coverage

National

Analysis unit

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

Kind of data

Sample survey data

Sampling procedure

The 1995 KDHS employed a nationally representative probability sample of women age 15-49. The country was divided into five survey regions. Four survey regions consisted of groups of contiguous oblasts (except the East Kazakstanskaya oblast which is not contiguous). Almaty City constituted a survey region by itself although it is part of the Almatinskaya oblast. The five survey regions were defined as follows:

I) Almaty City 2) South Region: Taldy-Korganskaya, Almatinskaya (except Almaty city), Dzhambylskaya, South Kazakstanskaya, and Kzyl-Ordinskaya 3) West Region: Aktiubinskaya, Mangistauskaya, Atyrauskaya, and West Kazakstanskaya 4) Central Region: Semipalatinskaya, Zhezkazganskaya, and Tourgaiskaya 5) North and East Region: East Kazakstanskaya, Pavlodarskaya, Karagandinskaya, Akmolinskaya, Kokchetauskaya, North Kazakstanskaya, and Koustanaiskaya

It is important to note that the oblast composition of regions outside of Almaty City was determined on the basis of geographic proximity, and in order to achieve similarity with respect to reproductive practices within regions. The South and West Regions are comprised of oblasts which traditionally have a high proportion of Kazak population and high fertility levels. The Central Region contains three oblasts in which the fertility level is similar to the national average. The North and East Region contains seven oblasts situated in northern Kazakstan in which a relatively high proportion of the population is of Russian origin, and the fertility level is lower than the national average.

In Almaty City, the sample for the 1995 KDHS was selected in two stages. In the first stage, 40 census counting blocks were selected with equal probability from the 1989 list of census counting blocks. A complete listing of the households in the selected counting blocks was carried out. The lists of households served as the frame for second-stage sampling; i.e., the selection of the households to be visited by the KDHS interviewing teams. In each selected household, women age 15-49 were eligible to be interviewed.

In the rural areas, the primary sampling units (PSUs) were the raions which were selected with probability proportional to size, the size being the 1993 population published by Goskomstat (1993). At the second stage, one village was selected in each selected raion, from the 1989 Registry of Villages. This resulted in 50 rural clusters being selected. At the third stage, households were selected in each cluster following the household listing operation as in Almaty City.

In the urban areas other than Almaty City, the PSUs were the cities and towns themselves. In the second stage, one health block was selected from each town except in self-representing cities (large cities that were selected with certainty) where more than one health block was selected. The selected health blocks were segmented prior to the household listing operation which provided the household lists for the third stage selection of households. In total, 86 health blocks were selected.

On average, 22 households were selected in each urban cluster, and 33 households were selected in each rural cluster. It was expected that the sample would yield interviews with approximately 4,000 women between the ages of 15 and 49.

Note: See detailed description of sample design in APPENDIX B of the survey report.

Mode of data collection

Face-to-face

Research instrument

Two questionnaires were used for the 1995 KDHS: the Household Questionnaire and the Individual Questionnaire. The questionnaires were based on the model survey instruments developed in the DHS program. They were adapted to the data needs of Kazakhstan during consultations with specialists in the areas of reproductive health, child health and nutrition in Kazakhstan.

The Household Questionnaire was used to enumerate all usual members and visitors in tile sample households and to collect information relating to the socioeconomic position of a household. In the: first part of the Household Questionnaire, information was collected on age, sex, educational attainment, marital status, and relationship to the head of household of each person listed as a household member or visitor. A primary objective of the first part of the Household Questionnaire was to identify women who were eligible for the individual interview. In the second part of the Household Questionnaire, questions were included on the dwelling unit, such as the number of rooms, the flooring material, the source of water, the type of toilet facilities, and on the availability of a variety of consumer goods.

The Individual Questionnaire was used to collect information from women age 15-49. These women were asked questions on the following major topics: - Background characteristics - Pregnancy history - Outcome of pregnancies and antenatal care - Child health and nutrition practices - Child immunization and episodes of diarrhea and respiratory illness - Knowledge and use of contraception - Marriage and fertility preferences - Husband's background and woman's work - Anthropometry of children and mothers - Hemoglobin measurement of women and children

One of the major efforts of the 1995 KDHS was testing women and children for iron-deficiency anemia. Testing was done by measuring hemoglobin levels in the blood using the Hemocue technique. Before collecting the blood sample, each woman was asked to sign a consent form giving permission for the collection of a finger-stick blood droplet from herself and her children. Results of anemia testing were kept confidential (as are all KDHS data); however, strictly with the consent of respondents, local health care facilities were informed of women and children who had severely low levels of hemoglobin (less than 7 g/dl).

Cleaning operations

Questionnaires were returned to the Institute of Nutrition in Almaty for data processing. The office editing staff checked that the questionnaires for all selected households and eligible respondents were returned from the field. The few questions which had not been pre-coded (e.g., occupation, type of chronic disease) were coded at this time. Data were then entered and edited on microcomputers using the ISSA (Integrated System for Survey Analysis) package, with the data entry software translated into Russian. Office editing and data entry activities began in May 1995 (i.e., the same time that fieldwork started) and were completed in September 1995.

Response rate

A total of 4,480 households were selected in the sample, of which 4,241 were occupied at the time of fieldwork. The main reason for the difference was that some dwelling units which were occupied at the time of the household listing operation were either vacant or the household members were away for an extended period at the time of interviewing. Of the 4,241 occupied households, 4,178 were interviewed, yielding a household response rate of 99 percent.

In the interviewed households, 3,899 women were eligible for the individual interview (i.e., all women 15-49 years of age who were either usual residents or visitors who had spent the previous night in the household). Interviews were successfully completed with 3,771 of these women, yielding a response rate of 97 percent. The principal reason for non-response was the failure to find an eligible woman at home after repeated visits to the household. The overall response rate for the survey--the product of the household and the individual response rates--was 95 percent.

Note: See summarized response rates by place of residence in Table 1.1 of the survey report .

Sampling error estimates

The estimates from a sample survey are affected by two types of errors: (1) non-sampling errors, and (2) sampling errors. Non-sampling errors are the results of mistakes made in implementing data collection and data processing, such as failure to locate and interview the correct household, misunderstanding of the questions on the part of either the interviewer or the respondent, and data entry errors. Although numerous efforts were made during the implementation of the KDHS to minimize this type of error, non-sampling errors are impossible to avoid and difficult to evaluate

NFHS-5 (2019-21)

The National Family & Health Survey (NFHS) is a survey in India that attempts to collect information on health conditions, nutrition, family planning, domestic violence, and a host of other factors through conducting surveys on a random ("representative") sample of Indian households in all states. The fifth NFHS was conducted through 2019-21, and the reports were released to the public in 2021 and can be found at this link. The original data was released as PDFs; this Kaggle dataset was created by extracting the tabular data from PDFs into JSONs.

What kind of information is collected in this survey?

Here's a non-comprehensive list of some indicators collected by this survey:

1. Female population age 6 years and above who ever attended school (%)
2. Women age 20-24 years married before age 18 years (%)
3. Institutional births in public facility (%)
4. Children with diarrhoea in the 2 weeks preceding the survey who received oral rehydration salts (ORS) (%)
5. Blood sugar level - high or very high (>140 mg/dl) or taking medicine to control blood sugar level (%)
6. Women age 15 years and above who use any kind of tobacco (%)

Major news outlets in India analysed the results of the study too - here are some interesting articles that show what sorts of "stories" or insights you van look for in this data:

• 50% women, kids in 14 states and UTs are anaemic: National Family Health Survey
• Latest Family Health Survey Proves Prohibition Has Not Worked In Bihar, Alcohol Consumption Is Rife
• Sex Ratio In India Was Estimated As 1,020 By National Family Health Survey During 2019 to 2021, Says MoS Health Dr Bharati Pravin Pawar
• A close reading of the NFHS-5, the health of India
• What the latest NFHS data says about the New Welfarism
• More hospital births, but limited gains in childhood nutrition: National Family Health Survey-5

Note: I used a Python script to parse the data automatically. I tried my best to make sure the data was parsed correctly, but there is a possibility that some data in JSON might not be 100% accurate - there is no way I could have manually verified all 704 PDF files and their outputs, so I randomly sampled and verified a couple of files, all of which looked okay. If you want to see the scripts used to parse this PDFs, please visit my GitHub repo.

Dataset cover photo by Naveed Ahmed on Unsplash.com

Abstract

The 1997 Yemen Demographic Maternal and Child Health Survey (YDMCHS) is part of the worldwide Demographic and Health Surveys (DHS) program. The DHS program is designed to collect data on fertility, family planning and maternal and child health.

The YDMCHS-97 has the following objectives: 1. Provide policymakers and decisionmakers with a reliable database and analyses useful for policy choices and population programs, and provide researchers, other interested persons, and scholars with such data. 2. Update and expand the national population and health data base through collection of data which will allow the calculation of demographic rates, especially fertility rates, and infant and child mortality rates; 3. Analyse the direct and indirect factors which determine levels and trends of fertility. Indicators related to fertility will serve to elaborate plans for social and economic development; 4. Measure the level of contraceptive knowledge and practice by method, by rural and urban residence including some homogeneous governorates (Sana’a, Aden, Hadhramaut, Hodeidah, Hajjah and Lahj). 5. Collect quality data on family health: immunizations, prevalence and treatment of diarrhea and other diseases among children under five, prenatal visits, assistance at delivery and breastfeeding; 6. Measure the nutritional status of mothers and their children under five years (anthropometric measurements: weight and height); 7. Measure the level of maternal mortality at the national level. 8. Develop skills and resources necessary to conduct high-quality demographic and health surveys.

Geographic coverage

National

Analysis unit

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

Kind of data

Sample survey data [ssd]

Sampling procedure

SAMPLE DESIGN

The 1997 YDMCHS was based on a national sample in order to provide estimates for general indicators for the following domains: Yemen as a whole, urban and rural areas (each as a separate domain), three ecological zones identified as Coastal, Mountainous, and Plateau and Desert, as well as governorates with a sample size of at least 500 completed cases. The survey sample was designed as a two-stage cluster sample of 475 enumeration areas (EA), 135 in urban areas and 340 in rural areas. The master sample, based on the 1994 census frame, was used as the frame for the 1997 YDMCHS. The population covered by the Yemen survey was the universe of all ever-married women age 15-49. The initial target sample was 10,000 completed interviews among eligible women, and the final sample was 10,414. In order to get this number of completed interviews, and using the response rate found in the 1991-92 YDMCHS survey, a total of 10,701 of the 11,435 potential households selected for the household sample were completed.

In each selected EA, a complete household listing operation took place between July and September 1997, and was undertaken by nineteen (19) field teams, taking into consideration the geographical closeness of the areas assigned to each team.

Note: See detailed description of sample design in APPENDIX B of the final survey report.

Mode of data collection

Face-to-face [f2f]

Research instrument

Two Questionnaires were used to collect survey data:

Household Questionnaire: The household questionnaire consists of two parts: a household schedule and a series of questions relating to the health and socioeconomic status of the household. The household schedule was used to list all usual household members. For each of the individuals included in the schedule, information was collected on the relationship to the household head, age, sex, marital status (for those 10 years and older), educational level (for those 6 years and older) and work status (for those 10 years and older). It also collects information on fertility, general mortality and child survival. The second part of the household questionnaire included questions on housing characteristics including the type of dwelling, location, materials used in construction, number of rooms, kitchen in use, main source of drinking water and health related aspects, lighting and toilet facilities, disposal of garbage, durable commodities, and assets, type of salt the household uses for cooking, and other related residential information.

Individual Questionnaire: The individual questionnaire was administered to all ever-married women age 15-49 years who were usual residents. It contained 10 sections on the followings topics: - Respondent's background - Reproduction - Family planning - Pregnancy and breastfeeding - Immunization and health - Birth preferences - Marriage and husband's background - Maternal mortality - Female circumcision - Height and weight

Response rate

10,701 households, distributed between urban (3,008 households) and rural areas (7,693), households which were successfully interviewed in the 1997 YDMCHS. This represents a country-wide response rate of 98.2 percent (98.7 and 98.0 percent, respectively, for urban and rural areas).

A total of 11,158 women were identified as eligible to be interviewed. Questionnaires were completed for 10,414 women, which represents a response rate of 93.3 percent. The response rate in urban areas was 93 percent; and in rural areas it was 93.5 percent.

Note: See summarized response rates by place of residence in Table 1.1 of the final survey report.

Sampling error estimates

The estimates from a sample surveys are affected by two types of errors: (1) non-sampling error, and (2) sampling error. Non-sampling errors are the results of mistakes made in implementing data collection and data processing, such as failure to locate and interview the correct household, misunderstanding of the questions on the part of either the interviewer or the respondent, and data entry errors. Although numerous efforts were made during the implementation of the YDMCHS-97 to minimize this type of error, non-sampling errors are impossible to avoid and difficult to evaluate statistically.

Sampling errors, on the other hand, can be evaluated statistically. The sample of respondents selected in the YDMCHS-97 is only one of many samples that could have been selected from the same population, using the same design and expected size. Each of these samples would have yielded results that differ somewhat from the results of the actual sample selected. Sampling errors are a measure of the variability between all possible samples. Although the degree of variability is not known exactly, it can be estimated from the survey results.

A sampling error is usually measured in terms of standard error of a particular statistic (mean, percentage, etc.), which is the square root of the variance. The standard error can be used to calculate confidence intervals within which the true value for the population can reasonably be assumed to fall. For example, for any given statistic calculated from a sample survey, the value of that statistic will fall within a range of plus or minus two times the standard error of that statistics in 95 percent of all possible samples of identical size and design.

If the sample of respondents had been selected as a simple random sample, it would have been possible to use straightforward formulas for calculating sampling errors. However, the YDMCHS-97 sample is the result of a two-stage stratified design, and, consequently, it was necessary to use more complex formulae. The computer software used to calculate sampling errors for the YDMCHS-97 is the ISSA Sampling Error Module (SAMPERR). This module used the Taylor linearization method of variance estimate for survey estimates that are means or proportions. The Jackknife repeated replication method is used for variance estimate of more complex statistics such as fertility and mortality rates.

Note: See detailed estimate of sampling error calculation in APPENDIX C of the final survey report.

Data appraisal

Data Quality Tables - Household age distribution - Age distribution of eligible and interviewed women and men - Completeness of reporting - Births by calendar year - Reporting of age at death in days - Reporting of age at death in months

Note: See detailed tables in APPENDIX D of the final survey report.

Interactive Summary Health Statistics for Children provide annual estimates of selected health topics for children under age 18 years based on final data from the National Health Interview Survey.

Data Downloads: Area Health Resource FilesData Downloads: BHW Clincian DashboardsData Downloads: BHW Program Applicant and Award DataData Downloads: GrantsData Downloads: Health Center Service Delivery and Look Alike SitesData Downloads: Health Professions Training ProgramsData Downloads: Maternal and Child Health BureauData Downloads: National Health Service Corps (NHSC), Nurse Corps, and Substance Use Disorder Treatment and Recovery (STAR) and other ProgramsData Downloads: Nursing Workforce Survey DataData Downloads: Organ Donation and TransplantationData Downloads: Ryan White HIV/AIDS ProgramData Downloads: Shortage Areas Data Downloads: Uniform Data SystemData Downloads: Workforce ProjectionsData by GeographyHRSA Fact SheetsNational Survey of Organ Donation Attitudes and PracticesNational Survey of Children’s Health (NSCH) and National Survey of Children with Special Health Care Needs ChartbooksNational Survey of Children's Health (NSCH)Donor Registry DataTransplant Activity Report

Child Dental Health Survey 2013, England, Wales and Northern Ireland The 2013 Children's Dental Health (CDH) Survey, commissioned by the Health and Social Care Information Centre, is the fifth in a series of national children's dental health surveys that have been carried out every ten years since 1973. The 2013 survey provides statistical estimates on the dental health of 5, 8, 12 and 15 year old children in England, Wales and Northern Ireland, using data collected during dental examinations conducted in schools on a random sample of children by NHS dentists and nurses. The survey measures changes in oral health since the last survey in 2003, and provides information on the distribution and severity of oral diseases and conditions in 2013. The survey oversampled schools with high rates of free school meal eligibility to enable comparison of children from lower income families* (children eligible for free school meals in 2013) with other children of the same age, in terms of their oral health, and related perceptions and behaviours*. The 2013 survey dental examination was extended so that tooth decay (dental caries) could be measured across a range of detection thresholds. This reflects the way in which the detection and management of tooth decay has evolved towards more preventive approaches to care, rather than just providing treatment for disease. This survey provides estimates for dental decay across the continuum of caries, including both restorative and preventive care needs*. Complementary information on the children's experiences, perceptions and behaviours relevant to their oral health was collected from parents and 12 and 15 year old children using self-completion questionnaires. The self-completion questionnaire for older children was introduced for the 2013 survey. ---------------------------------------------------------------------- *In 2013 when this survey took place, a free school meal was a statutory benefit available only to school aged children from families who received other qualifying benefits (such as Income Support). *Differences in clinical outcomes between socio-economic groups are likely to reflect different attitudes, behaviours and experiences relevant to oral health that may also be mediated through other demographic characteristics such as ethnicity and country of birth *Estimates from the four detection thresholds measured in the 2013 survey are available in Report 2.