An interactive Excel-based data tool for domestic abuse statistics. It allows users to explore data for their police force area in more detail and compare with other areas.

Financial overview and grant giving statistics of National Resources Center on Domestic Violence Inc.

Financial overview and grant giving statistics of National Center on Domestic and Sexual Violence

Abstract

The Republic of Moldova Multiple Indicator Cluster Survey was carried out in 2012 (hereinafter the 2012 Moldova MICS) by the National Centre of Public Health of the Ministry of Health in collaboration with the National Bureau of Statistics, the Scientific Research Institute of Mother and Child Health Care, the Ministry of Labour, Social Protection and Family, the Ministry of Education, the National Centre for Health Management, and the National Centre for Reproductive Health and Medical Genetics. Financial and technical support was provided by the United Nations Children’s Fund (UNICEF), with additional contribution of the Swiss Agency for Development and Cooperation and the World Health Organization Regional Office for Europe within the EU supported project on technical assistance to the health sector.

The Multiple Indicator Cluster Survey (MICS) is an international household survey programme developed by UNICEF. The 2012 Moldova MICS was conducted as part of the fourth global round of MICS surveys (MICS4). MICS provides up-to-date information on the situation of children and women and measures key indicators that allow countries to monitor progress towards the Millennium Development Goals (MDGs) and other internationally agreed upon commitments.

The 2012 Moldova MICS was based on a nationally representative probability sample, stratified in two stages and consisting of about 12,500 households. Fieldwork was carried out between April 17 and June 30, 2012 using four Questionnaires – the Household Questionnaire, the Questionnaire for Individual Women aged 15-49 years, the Questionnaire for Children Under Five, the Questionnaire for Individual Men aged 15-49 years, as well as a Questionnaire Form for Vaccination Records at the Health Facility.

In addition to the administration of questionnaires, fieldwork teams tested the salt used for cooking in the households for its iodate content, observed the place used for handwashing, measured the weights and heights of children under the age of five, as well as the haemoglobin levels in women aged 15-49 years and children aged 6-59 months. The household response rate was 97 percent, with 89 percent, 77 percent and 96 percent response rates calculated for the women’s, men’s and under-5’s interviews respectively.

Geographic coverage

National

Analysis unit

• individuals
• households

Universe

The survey covered all de jure household members (usual residents), all women aged between 15-49 years, all children under 5 living in the household, and all men aged 15-49 years.

Kind of data

Sample survey data [ssd]

Sampling procedure

A probability-based stratified sample was selected in two stages for the 2012 Moldova MICS. Considering that the 2004 Population Census cartographic materials were discarded, it became impossible to use them as a source of data for the sampling frame. Thus, the decision was to use the 2005 Moldova DHS sample for the first stage (PSU - Primary Sampling Unit) and for the second stage a probability-based sample of the households has been selected from each PSU.

Coverage The reference population for the 2012 Moldova MICS depends on the particular indicators and is defined as follows (the size estimates are presented in Table SD.1): 1. Households; 2. Women aged 15-49 years; 3. Men aged 15-49 years; 4. Children under 5 years of age. Geographically, the reference population is placed within the administrative borders of Moldova's territorial units which are located on the western side of the Nistru (Dniester River); the population living in the eastern side (left bank of the Dniester River and the Bender municipality -Transnistrian region) are not a part of 2012 Moldova MICS.

Sample representativeness The 2012 Moldova MICS sample ensured representativeness at a national level (excluding Transnistrian region) and, like in the case of the 2005 Moldova DHS, at the level of residential areas - urban and rural. Although at the first sampling stage no stratification by zone was used, the results of the 2005 Moldova DHS survey indicate that the level of precision of the zone level estimates is acceptable.

Sample size The sample size is determined, on the one hand, by the precision expected to be achieved for the key indicators, and on the other hand, by the availability of human and financial resources. The precision of a sample survey's results is liable to be affected by two types of errors: sampling and non-sampling errors. The level of the sampling errors is inversely proportional to the square root of the sample size, whereas the nonsampling errors are affected by an increase in the sample size. Consequently, the larger the sample is, the smaller the sampling errors, and the greater the non-sampling errors are. Therefore it is important that the size of the sample is balanced so as to ensure both an acceptable precision and a minimum level of non-sampling errors.

Taking into account the limitations due to the lack of maps of census sectors, which made it impossible to select a new sample of PSUs, it was decided to use the same sample of PSUs that was used for the 2005 Moldova DHS, which included 400 census sectors. The final sample size was 12,500 households, a figure obtained by selecting respective number of households from each of the 400 PSUs drawn at the first sampling stage.

PSU (cluster) size The average number of households per PSU is around 90 in rural areas and approximately 120 in urban areas. These sizes were determined so as to ensure a reasonable workload for the enumerators involved in general 2004 Population Census conducted by the NBS. This also made the PSUs practical for updating the list of the households for the purpose of providing a sampling frame for the 2012 Moldova MICS second sampling stage in a timely and cost-effective manner.

Sampling frame The sampling frame at the first sampling stage was built on the census sectors defined for the purposes of the 2004 Population Census carried out by the NBS. This included the list of all the census sectors, put into digital form, accompanied by variables for the identification of the sectors in the 2004 PC, information on areas of residence and geographical zones, and their measure of size expressed in number of persons.

Sample Selection Procedures At the first stage of sampling, PSUs within each stratum were systematically drawn with probabilities proportional to their size (number of population based on the 2004 PC data). Prior to sampling, the census sectors in each stratum were sorted in geographical order from north to south, in order to provide an additional level of implicit stratification based on the geographic criterion. At the second sampling stage, a sample of 30 households was selected from each PSU. The selection was done in each PSU based on the lists of households registered following the update, using a simple systematic sampling procedure.

The sampling procedures are more fully described in "Moldova Multiple Indicator Cluster Survey 2012 - Final Report" pp.143-147.

Mode of data collection

Face-to-face [f2f]

Research instrument

The questionnaires for the Generic MICS were structured questionnaires based on the MICS4 model questionnaire with some modifications and additions. Household questionnaires were administered in each household, which collected various information on household members including sex, age and relationship. The household questionnaire includes household information panel, household listing form, education, water and sanitation, household characteristics, child discipline, hand washing and salt iodization.

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

The women's questionnaire includes woman's information panel, woman's background, access to mass media and ICT, child mortality -birth history, desire for last birth, maternal and newborn health, post-natal health checks, illness symptoms, contraception, unmet need, attitudes toward domestic violence, marriage/union, sexual behavior, HIV/AIDS, tuberculosis, tobacco and alcohol use, life satisfaction and haemoglobin measurement.

The children's questionnaire includes child's age, birth registration, early childhood development, breastfeeding, care of illness, immunisation, anthropometry and haemoglobin measurement.

The men's questionnaire includes man's information panel, man's background, access to mass media and ICT, child mortality, attitudes toward domestic violence, marriage/union, sexual behavior, HIV/AIDS, tuberculosis, tobacco and alcohol use and life satisfaction.

MICS fourth round model questionnaires were customized based on the country’s needs so as to reflect relevant issues which are present in the Republic of Moldova in terms of children’s, women’s and men’s health, education, child protection, migration, HIV/AIDS, tuberculosis, anaemia, etc. Following content approval by the Steering Committee members, the questionnaires were translated from English and Russian into Romanian and were subsequently pre-tested (in Romanian and Russian).

Cleaning operations

Data were entered using the CSPro software on 12 computers by 12 previously trained data-entry clerks. A supervisor and an expert in data processing and analysis were responsible for the quality of data entry. Completed questionnaires were returned each week from the field to the NCPH office in Chisinau for additional editing by two office editors. In order to ensure quality control, all

Abstract

The Sao Tome and Principe Multiple Indicator Cluster Survey (MICS) was carried out in 2014 by the National Institute of Statistics (INE) in collaboration with the National Centre for Endemic Diseases (CNE) and the UNDP/Global Fund project, as part of the global MICS programme. Technical support was provided by the United Nations Children's Fund (UNICEF) and ICF International. UNICEF, the Global Fund and the Government of the Democratic Republic of Sao Tome and Principe provided financial and logistical support. The global MICS programme was developed by UNICEF in the 1990s as an international household survey programme to support countries in the collection of internationally comparable data on a wide range of indicators on the situation of children and women. MICS surveys measure key indicators that allow countries to generate data for use in policies and programmes, and to monitor progress towards the Millennium Development Goals (MDGs) and other internationally agreed upon commitments.

The survey provides statistically sound and internationally comparable data essential for developing evidence-based policies and programmes, and for monitoring progress toward national goals and global commitments. Among these global commitments are those emanating from the World Fit for Children Declaration and Plan of Action, the goals of the United Nations General Assembly Special Session on HIV/AIDS, the Education for All Declaration and the Millennium Development Goals (MDGs).

The objective of the 2014 MICS is to update some of the results of previous surveys, to evaluate the progress made with the various programmes of cooperation, and to identify remaining challenges. The survey also permitted to get an update on the sero-prevalence of HIV among men and women, anaemia among children and women, and malaria among children, measurements that were added to the standard MICS.

Geographic coverage

National

Analysis unit

• individuals
• households

Universe

The survey covered all de jure household members (usual residents), all women aged between 15-49 years, all children under 5 living in the household and all men aged between 15-49 years.

Kind of data

Sample survey data [ssd]

Sampling procedure

The primary objective of the sample design was to produce statistically reliable estimates of most indicators, at the national level, for urban and rural areas, for the Southern and Northern regions, and each one of the two districts of Agua Grande and Me Zochi in the Central region.

The first stage statistical units, or primary sampling units, are the enumeration areas (EAs) designed during the cartographic operations of the 2012 General Census of Population and Housing (GCPH). The list of EAs constitutes the first stage sampling frame of primary sampling units.

A sample of EAs was drawn at the first stage within each stratum. The second stage sampling units are the households within the EAs drawn at the first stage. They define the secondary stage sampling frame.

A study domain is a portion of the national territory for which valid results are sought, in other words individual estimates of sufficient precision. The districts were not chosen as study domains given their small size. Beside the urban and rural areas, four other study domains were identified. These are the district of Agua Grande, the district of Me Zochi, the Southern region comprising the districts of Cantagalo and Caue, and the Northern region comprising the districts of Lemba and Lobata. The region of Principe, which has only 11 EAs, was not regarded as a study domain.

The stratification is defined as the urban/rural area of residence within each district, which led to 13 strata.

The household sample size for the MICS5 survey was calculated as 3930 households. For the calculation of the sample size, the key indicator used was the immunization coverage of children age 12-23 months.

In order to estimate how many clusters or primary units would correspond to 900 households selected in each study domain, three options of cluster size were considered: - 20 households per primary unit - 25 households per primary unit - 30 households per primary unit

It was found that the first two cluster size options of 20 or 25 households did not provide the required number of clusters in certain strata. On the other hand the option of 30 households per primary unit allowed drawing the EAs in all the strata.

In the Region Autonomous of Principe, which is not a study domain, all 11 EAs have been surveyed on the basis of 30 households each, giving a national sample of 3930 households. This results in a global sample of 131 primary sampling units or clusters, 30 per study domain and 11 for the region of Principe.

The sample selection is implemented independently within each stratum. The primary sampling units or clusters are drawn systematically with probability proportional to size. The probability of selection of a cluster is proportional to the size of the cluster, the size being here defined as the number of households in the cluster from the frame.

At the second sampling stage, i.e. the selection of the households, systematic sampling with equal probability is used. An equal number of households, 30 in this case, is drawn in each cluster selected at the first stage.

The sampling of primary units is done independently one stratum at a time. As previously indicated, the EAs are drawn systematically with probability proportional to size.

The drawing of the primary units is implemented with a computer software called TIRAGE 2.1 specially designed for random sampling. In preparation for the draw, it was first verified if any of the 13 strata included atypical EAs, i.e. EAs with a selection probability greater than 1.

The sampling procedures are more fully described in "Multiple Indicator Cluster Survey 2014 - Final Report" pp.234-241.

Mode of data collection

Face-to-face [f2f]

Research instrument

The questionnaires for the Generic MICS were structured questionnaires based on the MICS5 model questionnaire with some modifications and additions. Household questionnaires were administered in each household, which collected various information on household members including sex, age and relationship. The household questionnaire includes List of Household Members, Education, Child Labour, Child Discipline, Household Characteristics, Insecticide Treated Nets, Indoor Residual Spraying, Water and Sanitation, Handwashing, and Salt Iodization.

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

The women's questionnaire includes Woman's Background, Access to Mass Media and Use of Information/Communication Technology, Fertility/Birth History, Desire for Last Birth, Maternal and Newborn Health, Post-natal Health Checks, Illness Symptoms, Contraception, Unmet Need, Attitudes Toward Domestic Violence, Marriage/Union, Sexual Behaviour, HIV/AIDS, Maternal Mortality, Tobacco and Alcohol Use, and Life Satisfaction.

The men's questionnaire includes Man's Background, Access to Mass Media and Use of Information/Communication Technology, Fertility, Attitudes Toward Domestic Violence, Marriage/Union, Sexual Behaviour, HIV/AIDS, Circumcision, Tobacco and Alcohol Use, and Life Satisfaction.

The children's questionnaire includes Child's age, Birth Registration, Early Childhood Development, Breastfeeding and Dietary Intake, Immunization, Care of Illness, and Anthropometry.

The blood test questionnaire includes Anaemia and malaria test for children 6-59 months of age, Anaemia and HIV test for women age 15-49 years, and HIV test for men age 15-49 years.

Cleaning operations

Data were entered using the CSPro software, Version 5.0. The data were entered on ten desktop computers, procured specifically for the purposes of the 2014 MICS, and carried out by 20 data entry operators and two data entry supervisors working in two shifts (morning and afternoon). For quality assurance purposes, all questionnaires were double-entered and internal consistency checks were performed. Procedures and standard programmes developed under the global MICS programme and adapted to the 2014 Sao Tome and Principe questionnaires were used throughout. Data processing followed rapidly the start of data collection on 14 April and was completed on 28 June 2014. Data were analyzed using the Statistical Package for Social Sciences (SPSS) software, Version 21. Model syntax and tabulation plans developed by UNICEF were customized and used for this purpose.

The processing of the blood samples was conducted from August to September 2014 for the malaria samples and from January to February 2015 for the HIV samples. The processing of the HIV samples was initiated after the scrambling and anonymization of the MICS data collected through the questionnaires. Blood samples were analyzed at the Hospital Ayres de Menezes Laboratory in Sao Tome and Principe. For HIV testing in particular, Elisa (Vironostika® VIH Ag/Ab) was used for all samples as a first test. Negative samples from this first testing were classified as negative whereas positive samples were subjected to a second ELISA test (Enzygnost® VIH Integral II). Positive samples from this second test were classified as positive. Discordant cases between the first and second ELISA test were reanalyzed using the two tests. Discordant cases were analyzed once again using Western Blot 2.2. Ten percent of negative cases were also subjected to another ELISA test for quality

The data used in the MPS Business Crime dashboard is available here Business crime | Metropolitan Police, along with the related data definitions.

Please note that, this dataset is updated monthly at the beginning of the month. Data runs until the end of the month prior.

***June 2024: The business crime data-sets are now being extracted and compiled from the new CONNECT system within the MPS; these data-sets will have prefix M1046 added to the file name.***

****October 2025: MPS crime classifications have been updated to align with the Home Office classifications. This has impacted the crime groupings for Burglary and Violence Against the Person.

Burglary Classification Changes

Domestic Burglary offences recorded since April 2023 are now categorised as either Residential Burglary of a Home or Residential Burglary of an Unconnected Building. This reflects changes made by the Home Office in April 2023 to better represent victim impact and police response. For Burglary offences recorded prior to April 2023 the categorisation of Domestic Burglary still applies.

Violence Against the Person Changes

The Violence Without Injury subgroup has been split, with some offences previously shown as Violence Without Injury now classified as Stalking and Harassment. Violence With Injury offences now include Death or Serious Injury Caused by Illegal Driving.****

The Metropolitan Police Service (MPS) has introduced CONNECT, a new crime recording system that consolidates several previous systems into one integrated platform. This change aims to streamline processes and enhance efficiency across the board.

With the implementation of CONNECT, there have been slight modifications in the recording of specific crime categories, such as hate crime. These adjustments may result in minor variations in crime data when compared to the pre-CONNECT era. To provide a comprehensive view of the data, the MPS has regenerated the full report to cover the entire time period.

BCU and Borough data in CONNECT are determined by the geographic location of the incident, rather than the borough managing the case, as was the case with legacy systems. This new approach has been retroactively applied to legacy data to provide consistent and comparable analysis.

Business Crime is defined by the National Business Crime Forum (NBCF), the Home Office, and the National Retail Crime Steering Group (NRCSG), chaired by the minister for crime prevention as:

“Any criminal offence that is committed against a person or property which is associated by the connection of that person or property to a business.”

The approach reflects the existing definitions for domestic abuse and hate crime. This means that the victim will determine whether or not the crime has had an impact on a business and, therefore, whether it should be identified as a business crime. This removes any ambiguity about how the crime should be recorded.

Not all business crime will be immediately identified as such by the victim or others. For example, an assault in a nightclub might not be identified as a business crime by the victim because they are more likely to perceive it as a personal attack, e.g. motivated by domestic abuse or hate related hostility.

Irrespective of the nature of the offending, if the offence took place on business premises it should additionally be recorded as a business crime. This is because criminal offending of any type on business premises may have a negative impact on the business, e.g. increased insurance premiums or, as in the case of the nightclub assault, adverse impact on whether the nightclub’s license is renewed (e.g. too many assault have taken place at that venue).

Further details can be found on the National Business Crime Centre website here:

https://nbcc.police.uk/

The data used in the MPS Business Crime dashboard is available here Business crime | Metropolitan Police, along with the related data definitions. Please note that, this dataset is updated monthly at the beginning of the month. Data runs until the end of the month prior. June 2024: The business crime data-sets are now being extracted and compiled from the new CONNECT system within the MPS; these data-sets will have prefix M1046 added to the file name. The Metropolitan Police Service (MPS) has introduced CONNECT, a new crime recording system that consolidates several previous systems into one integrated platform. This change aims to streamline processes and enhance efficiency across the board. With the implementation of CONNECT, there have been slight modifications in the recording of specific crime categories, such as hate crime. These adjustments may result in minor variations in crime data when compared to the pre-CONNECT era. To provide a comprehensive view of the data, the MPS has regenerated the full report to cover the entire time period. BCU and Borough data in CONNECT are determined by the geographic location of the incident, rather than the borough managing the case, as was the case with legacy systems. This new approach has been retroactively applied to legacy data to provide consistent and comparable analysis. Business Crime is defined by the National Business Crime Forum (NBCF), the Home Office, and the National Retail Crime Steering Group (NRCSG), chaired by the minister for crime prevention as: “Any criminal offence that is committed against a person or property which is associated by the connection of that person or property to a business.” The approach reflects the existing definitions for domestic abuse and hate crime. This means that the victim will determine whether or not the crime has had an impact on a business and, therefore, whether it should be identified as a business crime. This removes any ambiguity about how the crime should be recorded. Not all business crime will be immediately identified as such by the victim or others. For example, an assault in a nightclub might not be identified as a business crime by the victim because they are more likely to perceive it as a personal attack, e.g. motivated by domestic abuse or hate related hostility. Irrespective of the nature of the offending, if the offence took place on business premises it should additionally be recorded as a business crime. This is because criminal offending of any type on business premises may have a negative impact on the business, e.g. increased insurance premiums or, as in the case of the nightclub assault, adverse impact on whether the nightclub’s license is renewed (e.g. too many assault have taken place at that venue). Further details can be found on the National Business Crime Centre website here: https://nbcc.police.uk/

The Offending, Crime and Justice Survey (OCJS) (also sometimes known as the Crime and Justice Survey), was the first national longitudinal, self-report offending survey for England and Wales. The series began in 2003, the initial survey representing the first wave in a planned four-year rotating panel study, and ended with the 2006 wave. A longitudinal dataset based on the four years of the study was released in 2009 (held at the Archive under SN 6345).

The OCJS was commissioned by the Home Office, with the overall objective of providing a solid base for measuring the prevalence of offending and drug use in the general population of England and Wales. The survey was developed in response to a significant gap in data on offending in the general population, as opposed to particular groups such as convicted offenders. A specific aim of the series was to monitor trends in offending among young people.

The OCJS series was designed as a 'rotating panel' which means that in each subsequent year, part of the previous year's sample was re-interviewed, and was augmented by a further 'fresh' sample to ensure a cross-sectional representative sample of young people. The aim of this design was to fulfil two objectives: firstly, to provide a solid cross-sectional base from which to monitor year-on-year measures of offending, drug use, and contact with the CJS over the four-year tracking period (2003-2006); and secondly, to provide longitudinal insight into individual behaviour and attitudinal changes over time, and to enable the Home Office to identify temporal links between and within the key survey measures.

The OCJS was managed by a team of researchers in the Home Office Research, Development and Statistics Directorate. The Home Office commissioned BMRB Social Research and the National Centre for Social Research (NatCen) to conduct the surveys jointly. Both organisations were involved in developing the surveys and, at each wave, the fieldwork was split between the two agencies.
OCJS 2003:
The OCJS 2003 was the first survey in the series, and was conducted between January and July 2003, with a sample of around 12,000 people aged 10-65 years, living in private households in England and Wales. The survey collected information on the extent and nature of offending behaviour, drug and alcohol use, attitudes to and contact with the criminal justice system and experiences of victimisation. Respondents were asked about offending behaviour in their lifetime, and during the last 12 months.

The main aims of the OCJS 2003 were to provide:

• a measure of the number of offenders in the general household population in England and Wales and the offences they commit, including those who will not have been processed by the criminal justice system
• an estimate of the proportion of offenders and offences that come to the attention of criminal justice agencies
• an estimate of the proportion of offenders who are young people and the proportion of crime they commit
• information on the nature of offences committed, and in particular, offender motivations
• information on patterns of drug use and links to offending
• data to identify risk factors associated with the onset and continuation of offending and drug use, and factors associated with desistance

For the third edition (August 2008), an updated version of the main file has been deposited. Derived variables relating to the number of times that respondents have offended in the past year have been revised due to an improvement in the method of imputing values for those who refused to answer the count of offending questions. New users should also note that the domestic violence data were removed at an earlier edition due to concerns over consistency.

Abstract

The Ukraine Multiple Indicator Cluster Survey (MICS) is a household survey programme carried out in 2012 by the State Statistics Service in collaboration with the Ukrainian Institute for Social Reforms and StatInformConsulting. Financial and technical support was provided by the United Nations Children’s Fund (UNICEF), Swiss Cooperation Office in Ukraine (SDC) and the United States Agency for International Development (USAID). The survey provides valuable information on the situation of children and women in Ukraine including the data required to meet the needs to monitor Ukraine’s progress towards goals and targets emanating from international commitments under the Millennium Declaration adopted by all the United Nations Member States in September 2000, and the Plan of Action of A World Fit for Children, adopted by Member States at the United Nations Special Session on Children in May 2002. Both of these commitments build upon promises made by the international community at the 1990 World Summit for Children. A key feature of MICS 2012 in Ukraine was the introduction of separate questions and modules from the Demographic and Household Survey (DHS) program into standard MICS questionnaires for, women and men.

The sample size of 12,459 households and overall response rates of over 90% for households, women, men and children under five years of age (mothers/caretakers were interviewed) ensured representative data for the national level, and the strata of urban (including subdivision in large cities/small towns) and rural areas, as well as five regions (North, West, Centre, East and South). A probabilistic, stratified, two-stage cluster sample design was developed for the survey.

Geographic coverage

National

Analysis unit

• individuals
• households

Universe

The survey covered all de jure household members (usual residents), all women aged between 15-49 years, all children under 5 living in the household, and all men aged 15-49 years.

Kind of data

Sample survey data [ssd]

Sampling procedure

The sample for the Ukraine Multiple Indicator Cluster Survey (MICS 2012) was designed to provide reliable estimates of core survey indicators for the study domains: Ukraine as a whole, urban and rural areas at the national level, and five geographical regions: North, Centre, East, South and West.

A probabilistic, stratified, two-stage cluster sample design was developed for the survey. The stratification was based on geographical regions, and within regions - on three types of settlements: large cities, towns and rural areas. Firstly, selection of primary sampling units (hereinafter referred to as the PSUs) was performed within each stratum. A full listing of households was conducted in all selected PSUs, and then the households were selected for the survey at the second sampling stage.

The MICS 2012 sample represents all non-institutional households of Ukraine and their inhabitants, excluding households and individuals living in the Chernobyl-affected areas of the first and second radioactive contamination levels.

The MICS 2012 total sample size (number of household s to be selected) was 12,480 households. The actual total sample size for MICS 2012 is 12,459 households instead of the 12,480 envisaged households. The key indicator "Percentage of children under two who were breastfed within one hour of birth" was used for calculating the sample size. The expected level of this indicator is 35.9% (estimated on the basis of the MICS3 results). The percentage of children under two in Ukraine is about 2% of the population (estimated by the demographic statistics data and the results of the national household surveys).

The stratification of the sampling frame was calculated by dividing every geographical region into large cities (with a population of 100,000 and more), towns (with a population of less than 100,000) and rural areas. This led to the formation of 15 strata.

At the first stage 480 PSUs were selected with probability proportional to the PSU size (PPS). On the basis of the information from the listing forms, a set of households in each PSU was stratified at the second sampling stage by those with children under 5 years as of October 01, 2012, and those without such children. Altogether, 960 secondary strata were formed (that is, two secondary strata within each sample PSU).

The sampling procedures are more fully described in "Multiple Indicator Cluster Survey 2012 - Final Report" pp.250-254.

Mode of data collection

Face-to-face [f2f]

Research instrument

The questionnaires for the Generic MICS were structured questionnaires based on the MICS4 model questionnaire with some modifications and additions. Household questionnaires were administered in each household, which collected various information on household members including sex, age and relationship. The household questionnaire includes Household Listing Form, Education, Water and Sanitation, Household Characteristics, Child Labour, Child Discipline, Salt Iodization.

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

The women's questionnaire includes Woman's Background, Access to Mass Media and Use of Information/Communication Technology, Child Mortality, Pregnancy History, Desire for Last Birth, Maternal and Newborn Health, Post-Natal Health Checks, Illness Symptoms, Contraception, Marriage / Union, Unmet Need for Contraception, Attitudes toward Domestic Violence, Sexual Behaviour, HIV/AIDS, Tobacco and Alcohol Use, Life Satisfaction.

The children's questionnaire includes Child's Age, Birth Registration, Early Childhood Development, Breastfeeding, Care of Illness, Immunization.

The men's questionnaire includes Man's Background, Access to Mass Media and Use of Information/Communication Technology, Child Mortality, Contraception, Attitudes toward Domestic Violence, Marriage / Union, Fertility Preferences, Sexual Behaviour, HIV/AIDS, Life Satisfaction.

The questionnaires were developed in English from the MICS4 Model Questionnaires, and were translated into Ukrainian and Russian languages. Similarly, instructions for interviewers and guidelines for completing and editing questionnaires were translated into Ukrainian.

Upon recommendations of the United States Agency for International Development and taking into account the need to collect additional information on household living conditions and on the situation of children, women and men in Ukraine, standard questionnaires were supplemented with modules and individual questions from the Demographic and Health Survey (DHS) mostly related to reproductive health and sexual behaviour. A 13-day pre-test training for supervisors on August 1–13, 2012 was combined with the pre-test exercise. The questionnaires were pretested in August 2012 in the city of Kyiv and in several rural communities of Kyiv oblast. Based on the results of pretest, modifications were made to the wording of some questions, and to questionnaire format.

In addition to administration of questionnaires, field teams tested the salt used for cooking in the households for iodine content; and visited child health facilities to obtain information about immunization of children under five, if the immunization card was not available in the household.

Cleaning operations

The data was entered using CSPro software. The data was entered on 14 computers by 24 data entry operators and 3 supervisors working in two shifts. In order to ensure quality control, all questionnaires were double-entered, and internal consistency checks were performed. Procedures and standard programs developed under the global MICS4 programme adapted to the Ukraine questionnaire were used throughout. Data processing began almost simultaneously with data collection at the beginning of October 2012. Data entry was completed on January 14, 2013, while editing of the primary database was completed in February 2013. In parallel with the data entry process, MICS team proceeded with adaptation and finalisation of MICS syntax for DHS modules, included in survey questionnaires. Data was analysed using the Statistical Package for Social Sciences (SPSS) software, and the model syntax and tabulation plans, adapted to Ukraine questionnaires were used for this purpose.

MICS tabulations were finalised in March 2013. In April 2013, preliminary findings of the survey analysis were submitted to the experts of academic, non-governmental and international organisations for their critical review.

Response rate

Of the 12,459 sampled households, 11,871 households were occupied. Of these, 11,321 were successfully interviewed yielding a household response rate of 95.4 percent.

In the interviewed households, 8,239 women (aged 15–49 years) were identified as eligible. Of these, 8,006 were successfully interviewed yielding a response rate of 97.2% within interviewed households.

3,829 men (aged 15–49 years) were identified in the households selected for the men’s questionnaire. Questionnaires were completed for 3,620 of eligible men, which corresponds to a response rate of 94.5% within interviewed households.

There were 4,402 children under the age of 5 identified in the interviewed households. Questionnaires were completed for 4,379 of these children, which corresponds to a response rate of 99.5% within interviewed households.

Overall response rates of 92.7% and 90.2% are calculated for the interviews of women and men aged 15–49,

Abstract

The Ghana Statistical Service, in collaboration with the National Malaria Control Programme (NMCP) and the Navrongo Health Research Centre of the Ghana Health Service, conducted the fourth round of the Multiple Indicator Cluster Survey (MICS 2011), with funding and technical support from UNICEF, USAID, US President’s Malaria Initiative (PMI) and ICF Macro in Calverton, Maryland, USA. The main objective of the survey was to provide up-to-date information for assessing the health situation of the population, particularly women and children in Ghana.

MICS 2011 is a nationally representative household sample survey of 12,150 households in 810 enumeration areas (EAs). The survey is expected to provide estimates of all key health indicators at the national and regional levels, as well as for urban and rural areas. Moreover, four of the 10 regions that are of particular importance for UNICEF’s programmes will be disproportionally oversampled so as to provide some data at the district level. The four oversampled regions are Central, Northern, Upper East, and Upper West.

MICS 2011 uses four main questionnaires: a Household Questionnaire, a Woman’s Questionnaire for women age 15-49, a Man’s Questionnaire for men age 15-59, and a Child’s Questionnaire for children under five year (with questions posed to the child’s primary caretaker). Major topics covered in these questionnaires include household characteristics, characteristics of respondents, child mortality, child nutritional status, breastfeeding, Vitamin A supplementation, birth registration, birth weight, immunization, salt iodization, oral rehydration treatment, care seeking and antibiotic treatment of pneumonia, , the proportion of households with insecticide treated nets (ITNs), the proportion of the population that sleep under ITNs, solid fuel use, water and sanitation, contraception, antenatal care, delivery and postnatal care, child ,school attendance, literacy, child discipline, female genital mutilation/cutting (FGM/C), domestic violence (DV), sexual behaviour, HIV/AIDS and the prevalence of malaria parasites and anaemia among children aged 6-59 months. Consequently, blood samples of all children age 6-59 months will be collected for the malaria and anaemia tests. Although malaria indicators (e.g., bednet ownership and use, coverage of intermittent preventive treatment and treatment of childhood fever) will be collected in all households, the malaria and anaemia testing components will be implemented in all households in six regions, but confined to every second household in the four over-sampled regions.

It is hoped that the findings from MICS 2011 would provide up-to-date information on progress made towards targets set by the Ghana Poverty Reduction Strategy (GPRS II), the Millennium Development Goals (MDGs) and other national and international programmes aimed at promoting the welfare of women and children. The results are also expected to help policy planners improve on access and quality of health-related services in the country.

The MICS 2011 data collection was carried out over a period of three months (September 15 -December 14, 2011) by 20 field teams spread across the country. In order to help achieve the objectives of the survey, enumeration areas (EAs) were selected in some towns and communities within the various districts. In each of these EAs, 15 households were visited and interviewed by a field team comprising of a Supervisor (team leader), 1 Field Editor, 3 Interviewers, 1 Biomarker Technician, and a driver.

Geographic coverage

National Regional

Analysis unit

Households and Individuals

Universe

The survey covered 810 enumeration areas and 12,150 households across the country. In terms of eligibility, it covered the following households members:

1. All women age 15-49 years
2. All men age 15-49 years
3. All children under 5 years
4. All household members

Kind of data

Sample survey data [ssd]

Sampling procedure

The sample for the MICS 2006 was designed to provide estimates on a large number of indicators on the health status of women, men, and children at the national level, for urban and rural areas, as well as for the 10 administrative regions in the country.

The list of enumeration areas (EAs) from the 2010 Ghana Population and Housing Census (PHC) served as a frame for the MICS sample. The frame was first stratified into the 10 administrative regions in the country, then into urban and rural EAs.

Sampling deviation

No deviation from the original sample design was made

Mode of data collection

Face-to-face [f2f]

Research instrument

Four main questionnaires were used for the MICS 2011 data collection:

1. Household information: Individual members, head of household, sex, age, marital status, relation to head of household, education, water and sanitation, working children, child discipline, disability and salt iodization
2. Children under 5 years: breastfeeding, care of illness, malaria, immunization, anthropometry, anaemia and malaria testing
3. Women 15-49 years: infant/child mortality, tetanus toxoid, maternal and newborn health, marriage/union, contraception, female genital mutilation, attitude towards domestic violence, sexual behavior, and HIV/AIDS
4. Men 15-49 years: reproduction, marriage, sexual behavior, HIV/AIDS, sexually transmitted infections and attitudes toward domestic violence

Cleaning operations

Data editing is a very important measure to enhance data quality. In the MICS survey, data editing occured at three levels:

1. Field editing by editors and supervisors - In all the clusters that data were collected, ediors and supervisors revisited households and collected information which was either left out, uncompleted or responses which were not clear. Thus, data were validated in the field
2. Office editing-The purpose of office editing which was carried out under the MICS survey was to ensure that field data collection had conformed to the laid-down principles and procedures. Necessary codes, names, values were provided
3. Data cleaning and imputation - This stage offered the data processing personnel the opportunity to run further checks that ensured consistency. In a situation where inconsistencies were huge, field monitors were sent back to the field for verification of data that had been collected and thereafter, the necessary corrections made
4. Individual data files were also checked for completeness and consistency.

Response rate

Of the 12,150 households selected for the sample, 11,970 were contacted for interviews. Of these, 11,92 5were interviewed, giving a response rate of about 100 percent. In the households interviewed, 10,963 women aged 15–49 years were identi?ed. Of these, 10,627 were duly interviewed, producing a response rate of 97 per cent. Concerning children under the age of 5 years, 7,626 were identi?ed, for whom responses were obtained from their mother or caregiver in 7,550 complete interviews, giving a response rate of 99 percent. For the male survey, 3,511 men aged 15-59 years were identi?ed, and 3,321 successfully interviewed, yielding a response rate of 95 percent.

Data appraisal

Using SPSS software, basic data consistency checks were made and the necessary gaps were filled.

Abstract

The Ghana Statistical Service, in collaboration with the National Malaria Control Programme (NMCP) and the Navrongo Health Research Centre of the Ghana Health Service, conducted the fourth round of the Multiple Indicator Cluster Survey (MICS 2011), with funding and technical support from UNICEF, USAID, US President’s Malaria Initiative (PMI) and ICF Macro in Calverton, Maryland, USA. The main objective of the survey was to provide up-to-date information for assessing the health situation of the population, particularly women and children in Ghana.

MICS 2011 is a nationally representative household sample survey of 12,150 households in 810 enumeration areas (EAs). The survey is expected to provide estimates of all key health indicators at the national and regional levels, as well as for urban and rural areas. Moreover, four of the 10 regions that are of particular importance for UNICEF’s programmes will be disproportionally oversampled so as to provide some data at the district level. The four oversampled regions are Central, Northern, Upper East, and Upper West.

MICS 2011 uses four main questionnaires: a Household Questionnaire, a Woman’s Questionnaire for women age 15-49, a Man’s Questionnaire for men age 15-59, and a Child’s Questionnaire for children under five year (with questions posed to the child’s primary caretaker). Major topics covered in these questionnaires include household characteristics, characteristics of respondents, child mortality, child nutritional status, breastfeeding, Vitamin A supplementation, birth registration, birth weight, immunization, salt iodization, oral rehydration treatment, care seeking and antibiotic treatment of pneumonia, , the proportion of households with insecticide treated nets (ITNs), the proportion of the population that sleep under ITNs, solid fuel use, water and sanitation, contraception, antenatal care, delivery and postnatal care, child ,school attendance, literacy, child discipline, female genital mutilation/cutting (FGM/C), domestic violence (DV), sexual behaviour, HIV/AIDS and the prevalence of malaria parasites and anaemia among children aged 6-59 months. Consequently, blood samples of all children age 6-59 months will be collected for the malaria and anaemia tests. Although malaria indicators (e.g., bednet ownership and use, coverage of intermittent preventive treatment and treatment of childhood fever) will be collected in all households, the malaria and anaemia testing components will be implemented in all households in six regions, but confined to every second household in the four over-sampled regions.

It is hoped that the findings from MICS 2011 would provide up-to-date information on progress made towards targets set by the Ghana Poverty Reduction Strategy (GPRS II), the Millennium Development Goals (MDGs) and other national and international programmes aimed at promoting the welfare of women and children. The results are also expected to help policy planners improve on access and quality of health-related services in the country.

The MICS 2011 data collection was carried out over a period of three months (September 15 -December 14, 2011) by 20 field teams spread across the country. In order to help achieve the objectives of the survey, enumeration areas (EAs) were selected in some towns and communities within the various districts. In each of these EAs, 15 households were visited and interviewed by a field team comprising of a Supervisor (team leader), 1 Field Editor, 3 Interviewers, 1 Biomarker Technician, and a driver.

Geographic coverage

National Regional

Analysis unit

Households and Individuals

Universe

The survey covered 810 enumeration areas and 12,150 households across the country. In terms of eligibility, it covered the following households members:

1. All women age 15-49 years
2. All men age 15-49 years
3. All children under 5 years
4. All household members

Kind of data

Sample survey data [ssd]

Sampling procedure

The sample for the MICS 2006 was designed to provide estimates on a large number of indicators on the health status of women, men, and children at the national level, for urban and rural areas, as well as for the 10 administrative regions in the country.

The list of enumeration areas (EAs) from the 2010 Ghana Population and Housing Census (PHC) served as a frame for the MICS sample. The frame was first stratified into the 10 administrative regions in the country, then into urban and rural EAs.

Sampling deviation

No deviation from the original sample design was made

Mode of data collection

Face-to-face [f2f]

Research instrument

Four main questionnaires were used for the MICS 2011 data collection:

1. Household information: Individual members, head of household, sex, age, marital status, relation to head of household, education, water and sanitation, working children, child discipline, disability and salt iodization
2. Children under 5 years: breastfeeding, care of illness, malaria, immunization, anthropometry, anaemia and malaria testing
3. Women 15-49 years: infant/child mortality, tetanus toxoid, maternal and newborn health, marriage/union, contraception, female genital mutilation, attitude towards domestic violence, sexual behavior, and HIV/AIDS
4. Men 15-49 years: reproduction, marriage, sexual behavior, HIV/AIDS, sexually transmitted infections and attitudes toward domestic violence

Cleaning operations

Data editing is a very important measure to enhance data quality. In the MICS survey, data editing occured at three levels:

1. Field editing by editors and supervisors - In all the clusters that data were collected, ediors and supervisors revisited households and collected information which was either left out, uncompleted or responses which were not clear. Thus, data were validated in the field
2. Office editing-The purpose of office editing which was carried out under the MICS survey was to ensure that field data collection had conformed to the laid-down principles and procedures. Necessary codes, names, values were provided
3. Data cleaning and imputation - This stage offered the data processing personnel the opportunity to run further checks that ensured consistency. In a situation where inconsistencies were huge, field monitors were sent back to the field for verification of data that had been collected and thereafter, the necessary corrections made
4. Individual data files were also checked for completeness and consistency.

Data appraisal

Using SPSS software, basic data consistency checks were made and the necessary gaps were filled.

Abstract

The Montenegro Multiple Indicator Cluster Survey (MICS) was carried out in 2013 by the Statistical Office of Montenegro (MONSTAT). Financial and technical support was provided by the United Nations Children’s Fund (UNICEF) and UN Montenegro. MICS is an international household survey programme developed by UNICEF. The 2013 Montenegro MICS was conducted as part of the fifth global round of MICS surveys (MICS5). MICS provides up-to-date information on the situation of children and women and measures key indicators that allow countries to monitor progress towards the Millennium Development Goals (MDGs), EU integration and other internationally agreed upon commitments.

Montenegro participated in the third global round of MICS surveys (MICS3) in 2005, at that time as part of the State Union of Serbia and Montenegro. In the fifth round of the MICS surveys (MICS5), scheduled for 2012–2014, Montenegro participated for the first time as a sovereign state. The survey provides a rich foundation of comparative data for comprehensive reporting on progress towards national MDGs targets and EU integration. The 2013 Montenegro MICS survey captures rapid changes in key indicators between this and the previous round of the survey especially regarding the situation of the most vulnerable children – children in the poorest households, Roma children or those living in rural areas – and in that way contributes to expanding the evidence base for policies and programmes.

Datasets documented here cover Montenegro national sample representative of the whole population of Montenegro. The 2013 Montenegro MICS has a stratified, twostage cluster sample design. The sample for the 2013 Montenegro MICS was designed to provide estimates for a large number of indicators on the situation of children and women and men at the national level, for urban and rural areas, and for the three regions of Montenegro: the South, Centre and North. The findings pertain to March–May 2013, when the fieldwork was conducted.

Geographic coverage

National

Analysis unit

• individuals
• households

Universe

The survey covered all de jure household members (usual residents), all women aged between 15-49 years, all children under 5 living in the household and all men aged between 15-49 years.

Kind of data

Sample survey data [ssd]

Sampling procedure

The primary objective of the sample design for the Montenegro Multiple Indicator Cluster Survey was to produce statistically reliable estimates of most indicators, at the national level, for urban and rural areas, and for the three regions of the North, Centre and South of the country.

A stratified, two-stage, cluster random sampling approach was used for the selection of the survey sample.

The target sample size for the Montenegro MICS was calculated as 4,600 households. For the calculation of the sample size, various indicators were used, including the following: the contraceptive prevalence rate for women who are currently married or in a union (with a 2005 estimate of 39.4 percent, and a calculated sample size of 1,050 households); child disability (with a 2005 estimate of 12.5 percent and calculated sample size of 4,456 households); and child labour (with a 2005 estimate of 9.9 percent and a sample size calculation of 9,444 households).

Since the sampling frame (the 2011 Population Census) was not up-to-date, a new listing of households was conducted in all the sample enumeration areas prior to the selection of households. For this purpose, listing teams were formed to visit each enumeration area, and to list the occupied households.

MONSTAT was responsible for recruitment of the teams responsible for listing and fieldwork. For each team, the maps and descriptions of the selected cluster from the 2011 Census were provided. The interviewers' task was to go to the specific area and to mark whether the dwelling is occupied or unoccupied; to fill in the name for head of household and correct address; and to note whether children under 5 live in the household. The listing was carried out from 22 January until 10 February 2013.

Lists of households were prepared by the listing teams in the field for each enumeration area and sent to MONSTAT. Afterwards, the updated lists of households were divided into two categories: households with children under 5 and households without children under 5. A different number of households was selected systematically from each category in the sample enumeration areas.

The sampling procedures are more fully described in "Multiple Indicator Cluster Survey 2013 - Final Report" pp.279-281.

Mode of data collection

Face-to-face [f2f]

Research instrument

The questionnaires for the Generic MICS were structured questionnaires based on the MICS5 model questionnaire with some modifications and additions. Household questionnaires were administered in each household, which collected various information on household members including sex, age and relationship. The household questionnaire includes List of Household Members, Education, Child Labour, Child Discipline, Household Characteristics, Water and Sanitation, Handwashing.

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

The women's questionnaire includes Woman's Background, Fertility, Desire for Last Birth, Maternal and Newborn Health, Postnatal Health Checks, Illness Symptoms, Contraception, Unmet Need, Attitudes Toward Domestic Violence, Marriage/Union, Sexual Behaviour, HIV/AIDS, Tobacco and Alcohol Use and Life Satisfaction.

The men's questionnaire includes Men's Background, Attitudes Toward Domestic Violence, Marriage/Union, Sexual Behaviour, HIV/AIDS, Tobacco and Alcohol Use and Life Satisfaction.

The children's questionnaire includes Child's Age, Birth Registration, Early Childhood Development, Breastfeeding and Dietary Intake, Immunization, Care of Illness and Anthropometry.

The questionnaires are based on the MICS5 model questionnaire. The questionnaires were translated into Montenegrin from the English version of the MICS5 model and were pre-tested in Podgorica, Niksic and Cetinje during January 2013. Based on the results of the pre-test, modifications were made to the wording and translation of the questionnaires.

Cleaning operations

Data was entered using CSPro software. The data was entered on 10 microcomputers and carried out by 15 data entry operators and one data entry supervisor. In order to ensure quality control, all questionnaires were entered twice and internal consistency checks were performed. Procedures and standard programmes developed under the global MICS5 programme and adapted to the Montenegro questionnaire were used throughout. Data processing began simultaneously with data collection in March 2013 and was completed in May 2013 for both surveys. Data was analysed using the Statistical Package for Social Sciences (SPSS) software program, Version 18, and the model syntax and tabulation plans developed by UNICEF were used for this purpose.

Response rate

Of the 4,596 households selected for the sample, 4,425 were found to be occupied. Of these, 4,052 were successfully interviewed for a household response rate of 91.6 percent. In the interviewed households, 3,606 women (age 15-49 years) were identified. Of these, 3,493 were successfully interviewed, yielding a women’s response rate of 96.9 percent within the interviewed households. In the interviewed households, 1,872 men (age 15-49 years) were identified. Of these, 1,799 were successfully interviewed, yielding a men's response rate of 96.1 percent within the interviewed households. There were 1,441 children under age five listed in the household questionnaires. Questionnaires were completed for 1,420 of these children, which corresponds to a response rate of 98.5 percent within interviewed households. Overall response rates of 88.7, 88.0 and 90.2 percent were calculated for the completion of the women, men and children under five questionnaires, respectively.

Sampling error estimates

Sampling errors are a measure of the variability between the estimates from all possible samples. The extent of variability is not known exactly, but can be estimated statistically from the survey data. The following sampling error measures are presented in this appendix for each of the selected indicators: - Standard error (se): Sampling errors are usually measured in terms of standard errors for particular indicators (means, proportions etc). Standard error is the square root of the variance of the estimate. The Taylor linearisation method is used for the estimation of standard errors. - Coefficient of variation (se/r) is the ratio of the standard error to the value of the indicator, and is a measure of the relative sampling error. - Design effect (deff) is the ratio of the actual variance of an indicator, under the sampling method used in the survey, to the variance calculated under the assumption of simple random sampling. The square root of the design effect (deft) is used to show the efficiency of the sample design in relation to the precision. A deft value of 1.0 indicates that the sample design is as efficient as a simple random sample, while a deft value above 1.0 indicates an increase in the standard error due to the use of a more complex sample design. - Confidence limits are calculated to show the interval within which the true value for the population can be reasonably assumed to fall,