Abstract

Objectives:

The objectives could be summarized as follows: a. Update the establishment/enterprise register for different uses, i.e. as a sampling frame for economic surveys. b. Identifying the number of operating establishments and number of persons engaged in the different economic activities by geographical location. c. Identifying the most prominent characteristics of all operating establishments such as legal status, organization, ownership and others.

Geographic coverage

The Establishments Census 1997 includes all economic establishments in Palestine

Analysis unit

Establishment

Universe

all economic establishments in Palestine

Kind of data

Census/enumeration data [cen]

Sampling procedure

comprehensive census of all economic establishment in palestine (not applicable(

Sampling deviation

comprehensive census of all economic establishment in palestine (not applicable(

Mode of data collection

Face-to-face [f2f]

Research instrument

The questionnaire used includes several basic variables appropriate to census objectives. such variables are explained in relevant sectors of census manuals. These manuals also fully explain the methods of data collection. The design of the questionnaire was made in consideration of both the plan and cost of the Population, Housing and Establishment census. The questionnaire contains the following:

· Serial number of establishment · Number of numeration area · Number of building in the numeration area · Number of the establishment in the numeration area · Address · Commercial name · Phone · Owner or manager name
· Establishment Status
· Ownership Type
· profit or non Profit organization · Economic organization · Legal status
· No of employees
· No of employees/Male
· No of employees/Female

Cleaning operations

Stages from planning to data collection were fully integrated with the other components of the PHC. Post data collection activities (i.e. data processing and tabulation) for the Establishment component were carried out separately. In general stages consist of:

5.1 Preparation stage: Activities of this stage include developing the questionnaire, manual, reporting forms, tabulation plan, editing and coding rules and work plan in terms of all required resources and the time-table. This stage also encompasses the pilot census where all documents and plans are tested. 5.2 Implementation stage: Includes: Fieldwork operations: The PHC fieldwork team allocated for the second phase, as mentioned above, carried out the data collection for the Establishment Census. This team included about 1,000 persons. Data processing and tabulation: this phase included: Pre-data entry editing Coding Data entry Online checks Post-data entry editing Tabulation Table quality control Drafting report and publication

Response rate

comprehensive census of all economic establishment in palestine (not applicable(

Sampling error estimates

not applicable its census

The Department of City Planning (DCP) created Community District Tabulation Areas (CDTAs) to closely approximate the 59 Community Districts of New York City for the purpose of reporting American Community Survey (ACS) data. CDTAs are built by aggregating whole 2020 census tracts. All previously released versions of this data are available at BYTES of the BIG APPLE- Archive.

[Metadata] - 2015 Zip Code Tabulation Areas (ZCTA) with population figures from American Community Survey 5-year estimates. Source: U.S. Census Bureau, 2016.

The American Community Survey (ACS) is an ongoing survey that provides data every year ... the 5-year estimates from the ACS are "period" estimates that represent data collected over a period of time, from 2011 to 2015. For more information about the ACS, please visit https://www.census.gov/programs-surveys/acs/.

2020 Neighborhood Tabulation Areas (NTAs) are medium-sized statistical geographies for reporting Decennial Census and American Community Survey (ACS). 2020 NTAs are created by aggregating 2020 census tracts and nest within Community District Tabulation Areas (CDTA). NTAs were delineated with the need for both geographic specificity and statistical reliability in mind. Consequently, each NTA contains enough population to mitigate sampling error associated with the ACS yet offers a unit of analysis that is smaller than a Community District.

Though NTA boundaries and their associated names roughly correspond with many neighborhoods commonly recognized by New Yorkers, NTAs are not intended to definitively represent neighborhoods, nor are they intended to be exhaustive of all possible names and understandings of neighborhoods throughout New York City. Additionally, non-residential areas including large parks, airports, cemeteries, and other special areas are represented separately within this dataset and are assigned codes according to their type (See NTAType field). All previously released versions of this data are available at BYTES of the BIG APPLE- Archive.

The 2017/2018 Regional Travel Survey (RTS) collected demographic and travel information from a randomly selected representative sample of households in the National Capital Region Transportation Planning Board (TPB) jurisdictions and adjacent areas, which comprise the TPB model region. It is the primary source of observed data to estimate, calibrate, and validate the regional travel demand model. The model in turn is used for the travel forecasting and air quality conformity analysis of the region’s long-range transportation plan as well as to support other key program activities. The survey data is also used for analyzing regional travel trends and provides a comprehensive picture of travel patterns in the region. The RTS captured information on household, person, and vehicle characteristics in the recruitment survey, and actual observed trip information in a one-day travel diary, which household members recorded details of every trip taken on their assigned travel day.The Regional Transportation Data Clearinghouse (RTDC) Regional Travel Survey (RTS) Tabulations were prepared by TPB staff to provide an online resource for the RTS data to be used by practitioners, researchers, and other stakeholders. The RTDC RTS Tabulations share the standard 2017/2018 Regional Travel Survey tabulations from the RTS which include the household, person, vehicle, and trip files. The purpose of the RTDC RTS Tabulations is to provide descriptive summaries of the data items from these files. These are first level tabulations of the RTS dataset that can be quickly pulled “off-the-shelf” when needed. Note that no cross tabulations are included in the RTDC RTS Tabulations. The user can perform customized tabulations and cross tabulations by requesting the RTS Public File.File DetailsThe RTDC_RTS_Tabulations.zip file contains the RTDC RTS Tabulations Matrix (RTDC RTS Tabulations Matrix.xlsx) that includes the tabulation variable, tabulation description, RTS source file, along with the corresponding file names. Tabulations were prepared for the entire RTS universe, in addition to County/Independent City Jurisdiction, Subregional Area, Activity Centers and Equity Emphasis Areas. For tabulations by Subregional Area, Activity Centers, and Equity Emphasis Areas, “Elsewhere” refers to outside of the TPB Planning Region but within the RTS Universe; almost all of these records are within the TPB Modeled Area. The tabulation files contain two standard data structures: 1) Universe Tabulations; 2) Jurisdiction, Subregional Area, Activity Centers, and Equity Emphasis Area Tabulations.There are two sets of RTDC RTS Tabulations contained in the following folders: 1) ‘All Records’ which includes all records in the RTS universe; and 2) ‘NotAscertRemoved’ which removed ‘not ascertained’ records before the tabulations were generated. Users should exercise discretion in determining which set of tabulations to use when conducting their analysis.Please see the Regional Travel Survey (RTS)- 'About the RTDC RTS Tabulations' Documentation for further details about the contents of this ZIP file. For more information about the RTS, please visit the RTS webpage. Should you have further questions about these tabulations or the RTS in general, please contact Ken Joh.

Abstract

The programme for the World Census of Agriculture 2000 is the eighth in the series for promoting a global approach to agricultural census taking. The first and second programmes were sponsored by the International Institute for Agriculture (IITA) in 1930 and 1940. Subsequent ones up to 1990 were promoted by the Food and Agriculture Organization of the United Nations(FAO). FAO recommends that each country should conduct at least one agricultural census in each census programme decade and its programme for the World Census of Agriculture 2000 for instance corresponds to agricultural census to be undertaken during the decade 1996 to 2005. Many countries do not have sufficient resources for conducting an agricultural census. It therefore became an acceptable practice since 1960 to conduct agricultural census on sample basis for those countries lacking the resources required for a complete enumeration.

In Nigeria's case, a combination of complete enumeration and sample enumeration is adopted whereby the rural (peasant) holdings are covered on sample basis while the modern holdings are covered on complete enumeration. The project named “National Agricultural Sample Census” derives from this practice. Nigeria through the National Agricultural Sample Census (NASC) participated in the 1970's, 1980's, 1990's programmes of the World Census of Agriculture. Nigeria failed to conduct the Agricultural Census in 2003/2004 because of lack of funding. The NBS regular annual agriculture surveys since 1996 had been epileptic and many years of backlog of data set are still unprocessed. The baseline agricultural data is yet to be updated while the annual regular surveys suffered set back. There is an urgent need by the governments (Federal, State, LGA), sector agencies, FAO and other International Organizations to come together to undertake the agricultural census exercise which is long overdue. The conduct of 2006/2008 National Agricultural Sample Census Survey is now on course with the pilot exercise carried out in the third quarter of 2007.

The National Agricultural Sample Census (NASC) 2006/08 is imperative to the strengthening of the weak agricultural data in Nigeria. The project is phased into three sub-projects for ease of implementation; the Pilot Survey, Modern Agricultural Holding and the Main Census. It commenced in the third quarter of 2006 and to terminate in the first quarter of 2008. The pilot survey was implemented collaboratively by National Bureau of Statistics.

The main objective of the pilot survey was to test the adequacy of the survey instruments, equipments and administration of questionnaires, data processing arrangement and report writing. The pilot survey conducted in July 2007 covered the two NBS survey system-the National Integrated Survey of Households (NISH) and National Integrated Survey of Establishment (NISE). The survey instruments were designed to be applied using the two survey systems while the use of Geographic Positioning System (GPS) was introduced as additional new tool for implementing the project.

The Stakeholders workshop held at Kaduna on 21st-23rd May 2007 was one of the initial bench marks for the take off of the pilot survey. The pilot survey implementation started with the first level training (training of trainers) at the NBS headquarters between 13th - 15th June 2007. The second level training for all levels of field personnels was implemented at headquarters of the twelve (12) concerned states between 2nd - 6th July 2007. The field work of the pilot survey commenced on the 9th July and ended on the 13th of July 07. The IMPS and SPSS were the statistical packages used to develop the data entry programme.

Geographic coverage

State

Analysis unit

Household based of fish farmers

Universe

The survey covered all de jure household members (usual residents), who were into fish production

Kind of data

Census/enumeration data [cen]

Sampling procedure

The survey was carried out in 12 states falling under 6 geo-political zones. 2 states were covered in each geo-political zone. 2 local government areas per selected state were studied. 2 Rural enumeration areas per local government area were covered and 3 Fishing farming housing units were systematically selected and canvassed .

Sampling deviation

There was deviations from the original sample design

Mode of data collection

Face-to-face [f2f]

Research instrument

The NASC fishery questionnaire was divided into the following sections: - Holding identification: This is to identify the holder through HU serial number, HH serial number, and demographic characteristics. - Type of fishing sites used by holder. - Sources and quantities of fishing inputs. - Quantity of aquatic production by type. - Quantity sold and value of sale of aquatic products. - Funds committed to fishing by source and others

Cleaning operations

The data processing and analysis plan involved five main stages: training of data processing staff; manual editing and coding; development of data entry programme; data entry and editing and tabulation. Census and Surveys Processing System (CSPro) software were used for data entry, Statistical Package for Social Sciences (SPSS) and CSPro for editing and a combination of SPSS, Statistical Analysis Software (SAS) and EXCEL for table generation. The subject-matter specialists and computer personnel from the NBS and CBN implemented the data processing work. Tabulation Plans were equally developed by these officers for their areas and topics covered in the three-survey system used for the exercise. The data editing is in 2 phases namely manual editing before the data entry were done. This involved using editors at the various zones to manually edit and ensure consistency in the information on the questionnaire. The second editing is the computer editing, this is the cleaning of the already enterd data. The completed questionnaires were collated and edited manually (a) Office editing and coding were done by the editor using visual control of the questionnaire before data entry (b) Cspro was used to design the data entry template provided as external resource (c) Ten operator plus two suppervissor and two progammer were used (d) Ten machines were used for data entry (e) After data entry data entry supervisor runs fequency on each section to see that all the questionnaire were enterd

Response rate

Both Enumeration Area (EA) and Fish holders' level Response Rate was 100 per cent.

Sampling error estimates

No computation of sampling error

Data appraisal

The Quality Control measures were carried out during the survey, essentially to ensure quality of data

Population Numbers By New York City Neighborhood Tabulation Areas

The data was collected from Census Bureaus' Decennial data dissemination (SF1). Neighborhood Tabulation Areas (NTAs), are aggregations of census tracts that are subsets of New York City's 55 Public Use Microdata Areas (PUMAs). Primarily due to these constraints, NTA boundaries and their associated names may not definitively represent neighborhoods. This report shows change in population from 2000 to 2010 for each NTA. Compiled by the Population Division – New York City Department of City Planning.

Excel table of census data created to project populations at the Neighborhood Tabulation Area, a small area level, from 2000 to 2030 for PlaNYC, the long-term sustainability plan for New York City

Abstract

The Social Indicator Sample Survey (SISS) was carried out in 2013 by the National Statistical Office of Mongolia in collaboration with UN Children’s Fund (UNICEF) and UN Population Fund (UNFPA), as part of the global Multiple Indicators Cluster Survey (MICS5) programme. UNICEF and UNFPA provided technical and financial support.

The survey, the largest of its kind ever conducted in Mongolia, included 15,500 households and combined the Multiple Indicators Cluster Survey (MICS), Reproductive Health Survey (RHS) and Demographic and Health Survey (DHS). This survey marked the introduction of tablets for large-scale data collection.

SISS 2013 collected data to compile indicators in the areas of health, education, development, protection, well-being and rights of children and women. In addition, data on reproductive health, family planning, knowledge and attitude towards HIV/AIDS, and sexual behaviour of Mongolian men and women was collected.

Geographic coverage

National

Analysis unit

• Households,
• Individuals

Universe

• Women age 15-49 living in a household
• Men age 15-54 living in a household
• Children under 5 living in a household
• Children age 5-14 living in a household

Kind of data

Sample survey data [ssd]

Sampling procedure

The Social Indicator Sample Survey is a household-based survey where households are defined as sampling units. Therefore, the households living in their administrative unit for 6 or more months or intended to live in for 6 or more months if not 6 months yet, are defined as sampling units in the survey concept.

The sample size is defined by having actual representation in urban-rural and regions (Western, Khangai, Central, Easternand Ulaanbaatar) when provides estimates of the survey result at the national level. 15,500 households were selected with probability proportional to size at the national level and it was decided to select sampling units using household unit weight for each region or unit weight of the region's households in the national rate.

Sample was selected in two stages. In the first stage, primary sampling units (baghs and khesegs) were selected with probability proportional to size. 25 households within each of these selected baghs and khesegs were selected using the systematic sampling method. The 2012 official household registration list was used as the sampling frame. Kheseg of khoroo's for Ulaanbaatar and baghs of soum's for aimags were defined as primary sampling units (PSUs). In total, 384 baghs of 236 soums of 21 aimags and 220 khesegs of 75 khoroos of 9 districts of Ulaanbaatar were covered by the survey and for each bagh and kheseg household lists were updated in May - July 2013. For reporting results, sample weights are used.

Mode of data collection

Face-to-face [f2f]

Cleaning operations

Data was entered on electric database using the CSPro program. Procedures and standard programs developed under the global SISS programme and adapted to the SISS Mongolia 2013 questionnaire were used throughout. The data processing started from January 2014, where initial editing followed by logical editing were done. Developing syntax for main and additional tabulation started from February 2014 and completed by second half of April, 2014. Data were analysed 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 UNFPA, UNICEF and global team of SISS reviewed and finalized all syntaxes of tabulation of the data processing. The preliminary results of the SISS were disseminated to the public and users on June 5, 2014. The national report was developed and included comments of the Steering Committee and Working Group of the survey and global team of the SISS.

The Afghanistan Mortality Survey (AMS) 2010 was designed to measure mortality levels and causes of death, with a special focus on maternal mortality. In addition, the data obtained in the survey can be used to derive mortality trends by age and sex as well as sub-national estimates. The study also provides current data on fertility and family planning behavior and on the utilization of maternal and child health services. OBJECTIVES The specific objectives of the survey include the following: National estimates of maternal mortality; causes and determinants of mortality for adults, children, and infants by age, sex, and wealth status; and other key socioeconomic background variables; Estimates of indicators for the country as a whole, for the urban and the rural areas separately, and for each of the three survey domains of North, Central, and South, which were created by regrouping the eight geographic regions; Information on determinants of maternal health; Other demographic indicators, including life expectancy, crude birth and death rates, and fertility rates. ORGANIZATION OF THE SURVEY The AMS 2010 was carried out by the Afghan Public Health Institute (APHI) of the Ministry of Public Health (MoPH) and the Central Statistics Organization (CSO) Afghanistan. Technical assistance for the survey was provided by ICF Macro, the Indian Institute of Health Management Research (IIHMR) and the World Health Organization Regional Office for the Eastern Mediterranean (WHO/EMRO). The AMS 2010 is part of the worldwide MEASURE DHS project that assists countries in the collection of data to monitor and evaluate population, health, and nutrition programs. Financial support for the survey was received from USAID, and the United Nations Children’s Fund (UNICEF). WHO/EMRO’s contribution to the survey was supported with funds from USAID and the UK Department for International Development and the Health Metrics Network (DFID/HMN). Ethical approval for the survey was obtained from the institutional review boards at the MoPH, ICF Macro, IIHMR, and the WHO. A steering committee was formed to coordinate, oversee, advise, and make decisions on all major aspects of the survey. The steering committee comprised representatives from various ministries and key stakeholders, including MoPH, CSO, USAID, ICF Macro, IIHMR, UNICEF, UNFPA, WHO, and local and international NGOs. A technical advisory group (TAG) made up of experts in the field of mortality and health was also formed to provide technical guidance throughout the survey, including reviewing the questionnaires, the tabulation plan for this final report, the final report, and the results of the survey.

Abstract

The Kazakhstan Multiple Indicator Cluster Survey (MICS) was conducted in 2015 by the Statistics Committee of the Ministry of National Economy of the Republic of Kazakhstan (herein MNE RK).

This is the third MICS Survey in Kazakhstan. The findings from these surveys were used in development and implementation of state programmes in the areas of mother and child health, as well as country programmes of the United Nation Children’s Fund (UNICEF) in Kazakhstan, highlighting the need to improve the statistical data management system with regard to children. Such surveys are crucially important in terms of assessing the state of children and women in Kazakhstan as they provide unique information for development of the national child-centred policy and for international positioning of Kazakhstan. The survey provides statistically sound and internationally comparable data essential for development of evidence base and programmes, and for monitoring country progress towards national goals and global (international) commitments. Among these global commitments are those emanating from international agreements - the World Fit for Children Declaration and its 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). In addition, the 2015 Kazakhstan MICS results will contribute to establishing a baseline for monitoring the state of women and children in the context of the Sustainable Development Goals (SDGs).

OBJECTIVES

• To provide up-to-date information for assessing the situation of children and women in the Republic of Kazakhstan;

• To collect information that will help to improve national policies in the area of childhood and motherhood protection;

• To generate data for the critical assessment of the progress made in various areas, and to put additional efforts in areas that require more attention;

• To collect disaggregated data for the identification of disparities, to allow for evidence based policy-making aimed at social inclusion of the most vulnerable;

• To validate data from other sources and the results of focused interventions;

• To contribute to the generation of baseline data for the post-2015 agenda;

• To contribute to the improvement of data and monitoring systems in the Republic of Kazakhstan and to strengthen technical expertise in the design and implementation of such systems as well as in a better analysis of available data.

Geographic coverage

National level, for urban and rural areas, and for 16 administrative districts (14 regions and 2 cities) of the country: Akmola, Aktobe, Almaty oblast, Atyrau, West Kazakhstan, Zhambyl, Karaganda, Kostanai, Kyzylorda, Mangistau, South Kazakhstan, Pavlodar, North Kazakhstan and East Kazakhstan regions, and two large cities Astana and Almaty. Urban and rural areas in each of the 14 regions and 2 large cities of republican significance - Astana and Almaty - were defined as the sampling strata.

Analysis unit

• Individuals

• Households

Universe

All de jure household members (usual residents), all women aged 15-49 years and all children under 5.

Kind of data

Sample survey data [ssd]

Sampling procedure

The database and cartographic materials of the 2009 National Population Census (2009 Census) in the Republic of Kazakhstan were used in the process forming the sampling frame. The census enumeration areas (EAs) formed for the Census were used as the primary sampling units (PSUs).

The urban and rural areas within each region were identified as the main sampling strata and the sample was selected in two stages. In total, 30 strata were formed - 16 urban including two large cities and 14 rural. At the first sampling stage within each stratum, 840 census enumeration areas were selected systematically with probability proportional to size. At the second sampling stage, upon conducting a household listing within the selected enumeration areas, a random systematic sample of 20 households was drawn in each sample enumeration area, for a total sample size of 16,800 households.

Out of 840 clusters, which were liable for verification, cluster #338, located in the Karaganda region, was inaccessible due to the fact that this territory is under a long-term lease to the Russian Federation and thus under its jurisdiction.

The sample was stratified by region, urban and rural areas, and is not self-weighted. The sample weights are used for reporting nationally representative results. A more detailed description of the sample design can be found in the Final Report (Appendix A, Sample Design) attached as Related Material.

Mode of data collection

Face-to-face [f2f]

Research instrument

Three sets of questionnaires were used in the survey: 1) a household questionnaire which was used to collect basic demographic information on all de jure household members (usual residents), the household, and the dwelling; 2) a questionnaire for individual women administered in each household to all women aged 15-49 years; and 3) an under-5 questionnaire, administered to mothers (or primary caretakers) of all children under 5 living in the household that included a form for collecting vaccination records at Health Facilities for children under 3.

The Fertility module was included in order to be able to calculate indicators concerning total fertility rate and adolescent birth rate. From the onset, it was decided that childhood mortality indicators will not be calculated on the basis of this survey. Following the 2013 UN Inter-agency Group for Child Mortality Estimation (IGME) mission to Kazakhstan, which assessed that the official registration of births and deaths of children aged 0 to 5 years in the country was in line with international standards, the government made a decision to use infant and child mortality data generated by the official statistics, taking into account the adjustments of the IGME.

The Questionnaire for Children Under Five was administered to mothers (or primary caretakers) of children under 5 years of age living in the households. Normally, the questionnaire was administered to mothers of under-5 children; in cases when the mother was not listed in the household roster, a primary caretaker for the child was identified and interviewed.

An additional form was used for all children aged 0-2 years with a completed Questionnaire for Children Under Five, the Appendix for Data Collection at Health Facility About Immunization, to record vaccinations from the registries at health facilities.

The questionnaires are based on the MICS5 model questionnaires. From the MICS5 model English and Russian versions, the questionnaires were customised for 2015 Kazakhstan MICS and translated into the Kazakh language. The questionnaires in the Kazakh and Russian languages were pre-tested in Astana city and in the urban and rural settlements of Karaganda region in May 2015. Based on the results of the pre-test, modifications were made to the wording and translation of the questionnaires. A copy of the 2015 Kazakhstan MICS questionnaires is provided as Related Material.

In addition to the administration of questionnaires, fieldwork teams tested salt used for cooking in the households for iodine content, observed the place for handwashing, and measured the weight and height of children under 5 years of age.

Cleaning operations

Data entry was done using the CSPro software, Version 5.0. The data entry was done on 10 desktop computers by 10 data entry operators and overseen by 2 office editors (questionnaire administrator and data entry editor), as well as by one data entry supervisor. For quality assurance purposes, all questionnaires were entered twice and internal consistency checks were performed. Procedures and standard programmes developed under the global MICS programme and adapted to the 2015 Kazakhstan MICS questionnaires were used throughout. Data processing began in parallel with data collection on 15 September and was completed in December 2015. Data was analysed using the Statistical Package for Social Sciences (SPSS) software, Version 21. Model syntaxes and tabulation plans developed by UNICEF were customized and used for this purpose.

Response rate

Of the 16,791 households in the sample, 16,605 households were inhabited. Of these, 16,500 households were successfully interviewed: the proportion of interviewed households amounted to 99.4 percent. 12,910 women aged 15-49 years were identified in the interviewed households, of which 12,670 women were successfully interviewed: the proportion of female respondents in interviewed households was 98.1 percent. The list of household members in the household Questionnaire identified 5,561 children under 5. Questionnaires were completed for 5,510 children, which corresponds to 99.1 percent response rate for the interviewed households.

The household response rates in urban and rural areas were more than 99 percent, and by regions - more than 98 percent.

Sampling error estimates

The sample of respondents selected in the Multiple Indicator Cluster Survey - 2015 Kazakhstan MICS - is only one of the samples that could have been selected from the same population, using the same design and 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 the estimates from all possible samples. The extent of variation or variability is not known exactly, but can be estimated statistically from the survey data.

The following sampling

Abstract

The issue of food security has continual national importance in Ethiopia. To achieve social and political stability, the government has to be able to create and maintain food security by issuing an appropriate agricultural policy. Agricultural statistics is just one element that enters into this policy process to formulae, monitor, assess and evaluate the policy. The collection of reliable, comprehensive and timely data on agriculture is thus essential for the above purpose. In this regard, the Central Statistical Agency (CSA) has exerted effort to provide policy makers and users with reliable and timely agricultural data. The general objective of CSA's annual Agricultural Sample Survey (AgSS) is to collect basic quantitative information on the country's agricultural that is considered essential for development planning, socio-economic policy formulation, food security, etc. The AgSS is composed of four components: Crop production forecast survey, Main (“Mehe”) season survey. Livestock survey and survey of the “Belg” season crop area and production.

The specific objectives of the Main (“Meher”) season area and production survey are: - To estimate the total cultivated land area, production and yield per hectare of major crops (temporary). - To estimate the total farm inputs applied area and quantity of inputs applied by type for major temporary and permanent crops. - To estimate the total land used for various purposes by type of land use and the number of agricultural households, holders, members of agricultural households, average household size, average land holding per household and others

Geographic coverage

The survey covered all sedentary rural agricultural population in all regions of the country except urban and nomadic areas which were not included in the survey.

Analysis unit

Agricultural household/ Holder/ Crop

Universe

Agricultural households

Kind of data

Sample survey data [ssd]

Sampling procedure

The 1999-2000 (1992 E.C) Meher seasons annual Agricultural Sample Survey covered the rural part of the country except two zones in Afar region and six zones in Somali region that are predominantly nomadic. A two-stage stratified sample design was used to select the samples. Each zones/special wereda was adopted as stratum for which major findings of the survey are reported except the four regions; namely, Gambella, Harari, Addis Ababa and Dire Dawa which were considered as strata/reporting levels. The primary sampling units (PSUs) were enumeration area (EAs) and agricultural households were the secondary sampling units. The survey questionnaires were administered to all agricultural holders within the sample households. A fixed number of sample EAs were determined for each stratum/reporting level based on precision of major estimates and cost considerations. Within each stratum EAs were selected using probability proportional to size; size being total number of households in the EAs as obtained from the 1994 Population and Housing Census. From each sample EA, 40 agricultural households were systematically selected for the annual agricultural sample survey from a fresh list of households prepared at the beginning of the field work of the annual agricultural survey. Of the forty agricultural households, the first twenty five were used for obtaining information on area under crops. Meher and Belg season production of crops, land use, agricultural practices, crop damage, and quantity of agricultural inputs used. It is important to note that of the total forty agricultural households sampled in each of the selected EAs, data on crop cutting were collected for only the fifteen households (11th - 25th household selected).

Mode of data collection

Face-to-face [f2f]

Research instrument

The 1999-2000 annual Agricultural Sample Survey used structured questionnaires to collect agricultural information from selected sample households. List of forms in the questionnaires: - AgSS Form 92/0: Used to list all agricultural households and holders in the sample enumeration areas. - AgSS Form 92/1: Used to list selected households and agricultural holders in the sample enumeration areas. - AgSS Form 92/2: Used to collect information about crop condition. - AgSS Form 92/3A: Used to list fields and agricultural practices only pure stand temporary and permanent crops, list of fields and agricultural practices for mixed crops, other land use, quantity of improved and local seeds by type of crop and type and quantity of crop protection chemicals. - AgSS Form 92/4A: Used to collect results of area measurement. - AgSS Form 92/5: Used to list fields for selecting fields for crop cuttings and collect information about details of crop cutting. - AgSS Form 92/6: Used to collect information about cattle by sex, age and purpose

Cleaning operations

Editing, Coding and Verification: In order to insure the quality of the collected survey data an editing, coding and verification instruction manual was prepared and printed. Then 35 editors-coders and 20 verifiers were trained for two days in the editing, coding and verification operation using the aforementioned manual as a reference and teaching aid. The completed questionnaires were edited, coded and later verified on a 100% basis before the questionnaires were passed over to the data entry unit. The editing, coding and verification exercise of all questionnaires was completed in about 40 days.

Data Entry Cleaning and Tabulation: Before starting data entry, professional staff of Agricultural Statistics Department prepared edit specifications for use on personal computers utilizing the Integrated Microcomputer Processing System (IMPS) software for data consistency checking purposes. The data on the coded questionnaires were then entered into personal computers using IMPS software. The data were then checked and cleaned using the edit specifications prepared earlier for this purpose. The data entry operation involved about 35 data encoders and it took 30 days to complete the job. Finally, tabulation was done on personal computers to produce results as indicated in the tabulation plan.

Response rate

A total of 1,450 EAs (2.9% of the total EAs in the rural areas of the county) were selected for the survey. However 5 EAs were closed for various reasons beyond the control of the Authority and the survey succeeded in covering 1445 (99.7 %) EAs. With respect to ultimate sampling units, for the Meher season agricultural sample survey, it was planned to cover 36,250 agricultural households. The response rate was found to be 98.5%.

Sampling error estimates

Estimation procedures of totals, ratios and sampling errors are given in Appendix I of 1999-2000 annual Agricultural Sample Survey, Volume I report which is provided in this documentation.

Analysis of ‘2020 Community District Tabulation Areas (CDTAs) - Tabular’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/88a17447-c0f2-4866-9216-b8e0ae886d09 on 13 February 2022.

--- Dataset description provided by original source is as follows ---

The Department of City Planning (DCP) created Community District Tabulation Areas (CDTAs) to closely approximate the 59 Community Districts of New York City for the purpose of reporting American Community Survey (ACS) data. CDTAs are built by aggregating whole 2020 census tracts. All previously released versions of this data are available at BYTES of the BIG APPLE- Archive.

--- Original source retains full ownership of the source dataset ---

Abstract

The Sudan Multiple Indicator Cluster Survey (MICS), was conducted from August to December 2014 at national level covering all eighteen states. The MICS was designed to collect information on a variety of socioeconomic and health indicators required to inform the planning, implementation and monitoring of national policies and programs for the enhancement of the welfare of women and children.

The survey was carried out by the Central Bureau of Statistics (CBS) in collaboration with the ministries of health, welfare, general education, national environment, and national water cooperation as part of the global MICS program. Technical support was provided by the United Nations Children's Fund (UNICEF). UNICEF, World Health Organization (WHO), United Nations Population Fund (UNFPA), World Food Program (WFP) and the Department for International Development (DfID) UK, provided financial support.

MICS surveys measure key indicators that allow countries to generate accurate evidence for use in policies and programs, and to monitor progress towards the Millennium Development Goals (MDGs) and other internationally agreed upon commitments. The Sudan Multiple Indicator Survey is a nationally representative sample survey. Interviews were successfully completed in 15,801 households drawn from a sample of 18,000 households in all 18 states of Sudan with an overall response rate of 98 percent. 20,327 women in the 15-49 years age group, and 14,751 children under 5 years of age. The specific objectives of the survey is to:

1. Update information for assessing the situation of children and women in Sudan based on MICS5 modules and geographical coverage of the 18 States in Sudan.
2. Measure the trend towards achievement of the MDGs and the goals of a World Fit For Children Plan of Action and other internationally agreed upon indicators related to children and women.
3. Furnish data needed for the indicators as per the global review of the Millennium Development Goals.
4. Contribute to the improvement of data and monitoring systems in Sudan and to strengthen technical expertise, national capacity building in the design, implementation, and analysis of such systems.
5. Update Census indicators and provide solid evidence for decentralization (planning and measure of progress).
6. Provide key evidence for social sector programming and the Poverty Reduction Strategy Paper (PRSP) under development and accountabilities for sector strategic plans and UNDAF 2013-2016.

Results presented in this survey have been reviewed by the national MICS Technical Committee and approved by the national MICS Steering Committee. The results are not expected to change and are considered final.

Geographic coverage

National

Analysis unit

• Individuals
• Households

Universe

The survey covered all women aged between 15-49 years and all children under 5 living in the household.

Kind of data

Sample survey data [ssd]

Sampling procedure

The primary objective of the sample design for the Sudan MICS 2014 was to produce statistically reliable estimates for a large number of indicators at the national level. This included urban and rural areas and the eighteen states of the country namely: Northern, River Nile, Red Sea, Kassala, Gadaraf, Khartoum, Gezira, Sinnar, Blue Nile, White Nile, North Kordofan, South Kordofan, North Darfur, West Darfur, South Darfur, and the recent established West Kordofan, Eastern Darfur and Central Darfur.

In order to produce state level estimates of moderate precision, a minimum of 30 enumeration areas (EAs) were selected in each state, resulting in a sample that was not self-weighting. Urban and rural areas in each of the eighteen states were defined as the sampling strata and a multi two-stage, stratified cluster sampling approach was used for the selection of the survey sample.

In the first stage within each stratum, a specified number of EAs were selected systematically with probability proportional to size. In the second stage, after a household listing was carried out within the selected enumeration areas, a systematic sample of 25 households was drawn in each selected EA.

Out of the 18,000 households selected in the sample, 17,142 were found to be occupied. Of these 16,801 were successfully interviewed for a household response rate of 98 percent. In the interviewed households 20,327 women (age 15-49 years) were identified. Of these 18,302 were successfully interviewed, yielding a response rate of 90 percent. In addition to the women 14,751 children under the age of five years were listed in the household questionnaires. Questionnaires were completed for 14,081 of these children, corresponding to the under-5 response rates of 95.5 percent within the interviewed households. The highest response rates at state level for households was in South Darfur at 99.3 percent, while the lowest response rates were in West Kordofan at 93.4 percent. Response rates were slightly higher in rural areas at 98.5 percent than in urban areas at 96.8 percent. The highest response rates among eligible women between 15-49 years was 96.6 percent in Giezera State while the lowest response rates of 78.1 percent were in North Darfur. Similarly, the highest response rates among eligible children under-5 was recorded for Giezera which was 96.9 percent and the lowest response rates was also in North Darfur at 87.9 percent.

Mode of data collection

Face-to-face [f2f]

Research instrument

Three types of questionnaires were used in the survey: 1. Household Questionnaire: It was used to collect information on all de jure household members, the household, and the dwelling 2. Women Questionnaire: It was administered in each household to all women aged 15-49 years 3. Children under five Questionnaire: It was administered to mothers or caretakers of all children under 5 years living in the household.

Cleaning operations

Data were entered into the computers using the Census and Surveys Processing System (CSPro) software package, Version 5.0. The data were entered on 32 desktop computers by 40 data entry operators and 9 data entry supervisors. For quality assurance purposes, all questionnaires were double-entered and internal consistency checks were performed. Procedures and standard programs developed under the global MICS programs and adapted to the Sudan questionnaires were used throughout. Data of entry started on September 14 and was completed on November 27 2014. Data were analyzed using the Statistical Package for Social Sciences (SPSS) software, Version 21. Model syntax and tabulation plans developed by the Global MICS team were customized and used for this purpose.

Response rate

The Sudan MICS 2014 was based on a representative sample of 15,801 households drawn from a sample 18,000 households. All 18 states of Sudan with an overall response rate of 98 percent.

Sampling error estimates

MICS 2014 was conducted in a very challenging context of ongoing long term armed conflicts and many displacements of populations prevailing in Darfur and Kordofan states as well as the outstanding high risk mining areas. A very large sample design was defined for MICS 2014 in Sudan. It comprised of 720 Clusters (40 per state), 18,000 Households (1,000 per state) in order to ensure adequate representation of statistical estimation by each state.

During the implementation of the field data collection, the Central Bureau of Statistics (CBS) was constrained to proceed to the replacement of 22 clusters among 720 sampled for the survey (which represented 3%).The maximum number of clusters were replaced within states in four clusters in the Red Sea, West Kordofan, East Darfur and Central Darfur. This was in addition to the two clusters in Kassala and one cluster each in South Darfur, West Darfur, Khartoum and Gedaref. The main reason for the replacement of clusters was as follows: 1. Insecurity in Darfur States 2. Mining area in Kassala State 3. The displacement of population in the Red Sea 4. The rainy season in Gadaref State

CBS benefited from solid expertise of consulting in sampling and developed adequate technical measures by providing the field work team leader. Clear instructions enabled to perform the replacement in close compliance to the statistical practice of replacement of the enumeration area by choosing the nearest accessible area using a list of frame in respect to urban and rural areas. Taking into account the provisional measure of sample design which included 10 percent of “non-respondents rate” and the expansion of initial calculated required sample from 930 clusters to 1,000. Any anticipated error which may have emerged from the replacements was fully absorbed. Indicators measured for MICS 2014 in Sudan were not affected by the replacement of 22 clusters (from 1 to 4 into some states).

Abstract

The population census is the most fundamental source of national population data required by a country for administrative purposes as well as for economic and social planning and research. It is expected to provide a comprehensive and reliable inventory of a country's population. Apart from the size of population in each of the administrative units which is the basic information provided by the census, an analysis of the census data provides information on trends in population growth, age and sex structure of the population, the levels of mortality and fertility, the course of migration, trends in urbanization and on many more characteristics of the population. A study of the current demographic levels and past trends is very essential in making population projections that form the basis of national plans for economic development and other welfare programmes.

The demographic, social and economic indicators as well as other bench mark data at small area levels produced by the 2008 Census will go a long way in monitoring and evaluating the implementation of National Strategic Development Plan programmes in the future."

Geographic coverage

National

Analysis unit

Individual Household Woman of reproductive age Deceased household member Household in dwelling unit

Universe

All resident households in Cambodia

Kind of data

Census/enumeration data [cen]

Sampling procedure

Not Applicable

Mode of data collection

Face-to-face

Research instrument

The census questionnaires evolved after carefully taking into account past experience, the present needs of the Government and the data users. The questions were so worded as to be simple and at the same time enable collection of reliable data.

Two meetings were held to elicit the views of stake holders and data users regarding the contents of the census questionnaires and the tabulation plan. The census questionnaires were pre-tested twice in the field. A pilot census was conducted in a few Enumeration Areas (EAs) as a dress rehearsal for the census. All these exercises proved very useful in finally adopting the census questionnaires and the tabulation plan.

There were two main census questionnaires: - (i) the house list (Form A) and (ii) the household questionnaire (Form B). A few census forms were also to be filled-in by enumerators. Buildings with households were first listed in Form A. This was done three days ahead of the main enumeration along with updating the EA map (29 February to 2 March 2008). Form B which is the main census questionnaire was filled-in by enumerators after interviewing each household during March 3 to March 13. The questionnaires were prepared in English and Khmer.

Here are details of the two Forms: FORM A: HOUSE LIST

FORM B: HOUSEHOLD QUESTIONNAIRE PART 1. Identification Particulars PART 2. Individual Particulars PART 3. Fertility Information of Females Aged 15 and over listed in column 2 PART 4. Housing Condition and Facilities PART 5. Deaths in Household

Cleaning operations

The census data processing division of NIS is responsible for manual editing and coding of questionnaires, data entry, computer editing and tabulation, and the generation of products like the population database and maintenance of the web site.

Sampling error estimates

Not Applicable

[Metadata] 2020 Zip Code Tabulation Area (ZCTA) Boundaries with 2020 population for the State of Hawaii, clipped to the coastline. Source: US Census Bureau, July 2022. For additional information about this layer, please refer to metadata at https://files.hawaii.gov/dbedt/op/gis/data/zcta20.pdf or contact Hawaii Statewide GIS Program, Office of Planning and Sustainable Development, State of Hawaii; PO Box 2359, Honolulu, Hi. 96804; (808) 587-2846; email: gis@hawaii.gov; Website: https://planning.hawaii.gov/gis.

description: Select metrics by Community District/Neighborhood Tabulation Districts where available. To see the full set of indicators (including those without CD/NTD level data), please refer to Social Indicators Report Data Citywide at https://data.cityofnewyork.us/Social-Services/Social-Indicators-Report-Data-Citywide/gysw-j2f3. The Social Indicators Report is an analysis of social conditions across New York City, including geographic and demographic breakdowns, changes over time, and the Mayor's plan for responding to problems highlighted in the report. The report can be found at http://www1.nyc.gov/assets/operations/downloads/pdf/Social-Indicators-Report-April-2016.pdf. See also, the recently released Disparity Report produced by the Center for Innovation through Data Intelligence (CIDI). The report can be found at http://www1.nyc.gov/assets/operations/downloads/pdf/Social-Indicators-Report-April-2016.pdf; abstract: Select metrics by Community District/Neighborhood Tabulation Districts where available. To see the full set of indicators (including those without CD/NTD level data), please refer to Social Indicators Report Data Citywide at https://data.cityofnewyork.us/Social-Services/Social-Indicators-Report-Data-Citywide/gysw-j2f3. The Social Indicators Report is an analysis of social conditions across New York City, including geographic and demographic breakdowns, changes over time, and the Mayor's plan for responding to problems highlighted in the report. The report can be found at http://www1.nyc.gov/assets/operations/downloads/pdf/Social-Indicators-Report-April-2016.pdf. See also, the recently released Disparity Report produced by the Center for Innovation through Data Intelligence (CIDI). The report can be found at http://www1.nyc.gov/assets/operations/downloads/pdf/Social-Indicators-Report-April-2016.pdf

Abstract

The Bosnia and Herzegovina MICS4 2011–2012 was conducted using a representative sample in order to provide estimates for a large number of indicators on the situation of children, women and men as well as household living conditions at the level of BiH, the Federation of BiH (FBiH), the Republic of Srpska (RS) and for urban and rural areas. The survey is based on a representative sample of 6,838 households in BiH (4,107 in FBiH, 2,408 in RS and 323 in Brcko District (BD) of BiH) with an overall response rate of 91 per cent (in total, 5,778 households were interviewed). The results reflect data collected during the period November 2011 and March 2012.

The survey was undertaken as part of the fourth global round of the MICS programme and implemented by the Federal Ministry of Health (FMH) and the Ministry of Health and Social Welfare of the Republic of Srpska (MHSW RS) in cooperation with the Institute for Public Health of the FBiH (IPH FBiH) and the Agency for Statistics of BiH (BHAS). Financial and technical support was provided by UNICEF with additional financial support provided by UN Women for preparing the master sample frame, as well as by UNFPA and UNHCR.

The primary aim of MICS is to provide indicators for monitoring the level of progress towards the Millennium Development Goals, the Plan of Action for A World Fit for Children as well as other international and national commitments undertaken by BiH. The survey findings are presented from the equity perspective by indicating disparities in accordance with administrative units, sex, area type, the level of education of the respondent or head of the household, household wealth and other characteristics.

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 primary objective of the sample design for the BiH Multiple Indicator Cluster Survey was to produce statistically reliable estimates of most indicators at the BiH, FBiH and RS level and for urban and rural areas. A two stage stratified sampling approach was used for the selection of the cluster sample.

The official population estimate for BiH is 3.8 million inhabitants living in about one million households. However, some sampling frame exercises conducted due to the lack of an official Census since 1991 estimate this number at approximately 3.3 million.

As stated previously, BiH is composed of three administrative units: two entities, the FBiH and RS and a third administrative unit, BD. The FBiH covers approximately 51 per cent of the territory of BiH and 62 per cent of the population. RS covers approximately 49 per cent of the territory and about 36 per cent of the population and BD covers less than 1 per cent of the territory and approximately 2 per cent of the population.

The target sample size was 6,800 households, which was determined based on lessons learned through the previous round of MICS as well as by budgetary limitations. The standard sample design used in most of the countries participating in the MICS programme needed to be adapted for BiH due to the low birth rate; therefore, it was necessary to target (oversample) households with children under 5 and members aged 5-24.

Accordingly, the sample was stratified by households with children under 5 (type 1), households with children aged 5-24 (type 2) and all other households (type 3). In addition, the size of the three strata could not jeopardise the indicator estimates for the other target populations, such as the indicators that referred to fertile women.

As the sample size was defined as 6,800 households it was necessary to calculate the size of stratum 1 and stratum 2. The size of stratum 3 was obtained as the difference between the total sample size and the sum of the size of strata 1 and 2.

The sampling procedures are more fully described in "Bosnia and Herzegovina Multiple Indicator Cluster Survey 2011 - Final Report" pp.150-153.

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 discipline and hand washing.

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 ICT, child mortality, desire for last birth, maternal and newborn health, illness symptoms, contraception, unmet need, attitudes toward domestic violence, marriage/union, sexual behavior, HIV/AIDS, tobacco and alcohol use, life satisfaction and health care.

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

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

The questionnaires were based on the MICS4 model questionnaire.19 From the MICS4 model English version, the questionnaires were translated into local languages used in BiH. The questionnaires were pre-tested in the FBiH and RS in the City of Banja Luka and in Sarajevo Canton during September 2011. The pre-test plan provided for interviews to be conducted in 48 households in the FBiH and 24 households in RS. The households, of which 50 per cent were urban and rural households respectively, were randomly selected from the Master Sample template. Based on the results of the pre-test, modifications were made to the wording and translation of the questionnaires.

Cleaning operations

Data entry and processing was conducted separately for the FBiH, RS and BD. The data was entered using CSPro software. Data was entered into a total of 11 microcomputers by 8 data entry operators in the FBiH and 6 persons in RS; the process was supervised by data entry supervisors.

Data entry commenced in the FBiH four weeks after the start of data collection (December 2011) and was concluded in April 2012. In RS data entry for the RS and BD started one week after data collection began (December 2011) and was concluded in May 2012.

The data was analysed using the SPSS (Statistical Package for Social Sciences) software programme (Version 18) and the model syntax and tabulation plans developed by UNICEF were also used for this purpose. In order to ensure quality control all of the questionnaires were double entered and internal consistency checks were performed. Procedures and standard programmes developed under the global MICS4 programme and adapted to the BiH questionnaires were used throughout.

Response rate

Of the 6,838 households in the sample 6,334 were found to be occupied; of these, 5,778 households were successfully interviewed for a household response rate of 91 percent. In the interviewed households 4,645 women aged 15-49 were identified and 4,446 successfully interviewed, yielding a response rate of 96 percent. In addition, 4,718 men aged 15-49 were listed in the household questionnaire as being household members. Questionnaires were completed for 4,353 eligible men, which corresponds to a response rate of 92 percent within the interviewed households. There were 2,332 children under age five listed in the household questionnaire. Questionnaires were completed for 2,297 children, which corresponds to a response rate of 99 percent within the interviewed households. The overall response rate for the women’s, men’s and children’s questionnaires were 87 percent, 84 percent, and 90 percent, respectively.

Sampling error estimates

The sample of respondents selected for the BiH MICS was only one of the samples that could have been selected from the same population, using the same design and size. Each of these samples would have yielded results that differed somewhat from the results of the actual selected sample. 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 sampling error measures below 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 Linearization method was 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

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 Jamaica Multiple Indicator Cluster Survey (MICS) is a household survey programme carried out in 2011 by the Statistical Institute of Jamaica. Financial and technical support was provided by the United Nations Children's Fund (UNICEF), the United Nations Population Fund (UNFPA) and other UN partners.

The survey is designed to collect statistically sound, internationally comparable estimates of key indicators that are used to assess the situation of children and women in the areas of health, education, child protection and HIV/AIDS. The MICS survey also provides a tool to monitor the progress towards national goals and global commitments aimed at promoting the welfare of children, including the Millennium Development Goals (MDGs). Jamaica participated in the second, third and fourth round of the Multiple Indicator Cluster Survey in 2000, 2005 and 2011 respectively. As a signatory to the Millennium Declaration (MDG) and the World Fit for Children Declaration and Plan of Action, Jamaica participated in the MICS with the following objectives: - To assess the situation of women and children. - To contribute to the improvement of data and monitoring systems in Jamaica and to strengthen technical expertise in the design, implementation, and analysis of such systems. - To assist with monitoring the progress towards the GOJ-UNICEF Country Programme Action Plan.

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 and all children under 5 living in the household.

Kind of data

Sample survey data [ssd]

Sampling procedure

The primary objective of the sample design for the Jamaica Multiple Indicator Cluster Survey (MICS) was to produce statistically reliable estimates of most indicators, at the national level, and for three regions of Jamaica: (a) the Kingston Metropolitan Area (KMA), comprising the whole of Kingston, St. Andrew urban, Spanish Town, and Portmore; (b) other towns; and (c) rural areas. A multi-stage, stratified cluster sampling approach was used for the selection of the survey sample.

The target sample size for the Jamaica MICS was determined as 7,200 households. For the calculation of the sample size, two key indicators were chosen: neonatal tetanus protection and father's support for learning.

A stratified two-stage sample design was used for the Jamaica MICS4, although the primary sampling units (PSUs) for the survey were selected in two steps. The Statistical Institute of Jamaica (STATIN) developed a master sample for their household survey program based on the 2001 Jamaica Census data and cartographic materials. The PSUs were defined as enumeration districts (EDs), although a very small ED (with less than 25 households) was combined with a neighbouring ED to form a PSU. The master sampling frame had a total of 254 sampling strata, and 3 sample PSUs were selected per stratum, for a total of 762 sample PSUs. These master sample PSUs were then further grouped into 180 new sampling regions (within parish and urban/rural strata), and two sample PSUs were selected in each new sampling region for the MICS4, for a total sample of 360 PSUs or clusters. At each step the PSUs were selected systematically with probability proportional to size, based on the number of households in the 2001 Census.

Since the sampling frame (based on the 2001 Jamaica Census) was not up-to-date, a new listing of households was conducted in all the sample EDs prior to the selection of households. For this purpose, listing teams were formed, who visited each ED, and listed the occupied dwelling units.

Lists of households were prepared by the listing teams in the field for each ED. The households were then sequentially numbered from 1 to n (the total number of households in the ED), and the selection of 20 households in each ED was carried out using random systematic sampling procedures.

The sampling procedures are more fully described in "Multiple Indicator Cluster Survey 2010 - Final Report" pp.136-138.

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, hand washing, insecticide treated nets, indoor residual spraying and salt iodization.

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

The women's questionnaire includes woman's background, child mortality, desire for last birth, maternal and newborn health, attitudes toward domestic violence, marriage/union, life satisfaction, female genital mutilation/cutting, illness symptoms, contraception, unmet need, sexual behavior and HIV/AIDS.

The children's questionnaire includes child's age, birth registration, early childhood development, breastfeeding, care of illness, immunization, malaria, vitamin A and anthropometry.

The modules included were first decided on by the Technical Committee from STATIN. These were later presented to the Steering Committee for approval. The questionnaires were further refined based on the results of the pre-test and again submitted to and approved by the Steering Committee.

Cleaning operations

The MICS4 data processing system was designed to deliver the first results of the survey within a few weeks of the completion of the field work, since the data was processed in tandem with the fieldwork.

The questionnaires from the field were first manually edited/coded by four clerks who, based on predetermined standards, checked the questionnaires for completeness and thoroughness and, where necessary, inserted codes.

After this process was completed, the questionnaires were sent to the data processing unit where the information was transferred to microcomputers by four data entry operators, supervised by two programmers using the software package CSPro. This process was started on January 31, 2011 and ended on April 4, 2011. In order to ensure accuracy and minimize data entry errors, the questionnaires were entered separately by two data clerks and the programme highlighted any inconsistency in the data entered. These inconsistencies were eliminated by checking with the original questionnaire and the clerk whose data was incorrect made the necessary correction(s). This process continued until both sets of data were identical. Internal consistency checks were then followed to ensure that the quality of the data was maintained. Data were 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 7,289 households selected for the sample, 6,300 were found to be occupied. Of these, 5,960 were successfully interviewed yielding a household response rate of 94.6 percent. In the interviewed households, 5,143 women (age 15-49 years) were identified. Of these 5,032 were successfully interviewed, yielding a response rate of 97.8 percent. In addition, 1,651 children under age five were listed in the household questionnaire. Questionnaires were completed for 1,639 of these children, which corresponds to a response rate of 99.3 percent. Overall response rates of 92.6 and 93.9 were calculated for the women’s and under-5’s interviews respectively.

Data appraisal

A series of data quality tables are available to review the quality of the data and include the following:

• Age distribution of the household population
• Age distribution of eligible and interviewed women
• Age distribution of children under 5 in household and children under 5 questionnaires
• Observation of places for hand washing
• Observation of women's health cards
• Observation of vaccination cards
• Presence of mother in the household and the person interviewed for the under-5 questionnaire
• Selection of children age 2-14 years for the child discipline module
• School attendance by single age

The results of each of these data quality tables are shown in appendix D in document "Multiple Indicator Cluster Survey 2010 - Final Report" pp.158-164.