Qatar MDPS Projection: Fiscal Balance: as % of Nominal GDP data was reported at 5.900 % in 2020. This records an increase from the previous number of 5.100 % for 2019. Qatar MDPS Projection: Fiscal Balance: as % of Nominal GDP data is updated yearly, averaging 2.500 % from Dec 2015 (Median) to 2020, with 6 observations. The data reached an all-time high of 5.900 % in 2020 and a record low of -7.900 % in 2017. Qatar MDPS Projection: Fiscal Balance: as % of Nominal GDP data remains active status in CEIC and is reported by Ministry of Development Planning and Statistics . The data is categorized under Global Database’s Qatar – Table QA.F002: Government Budget: Projection: Ministry of Development, Planning and Statistics.

Qatar MDPS Projection: TBS: Current data was reported at 116.500 QAR bn in 2020. This records an increase from the previous number of 111.000 QAR bn for 2019. Qatar MDPS Projection: TBS: Current data is updated yearly, averaging 146.740 QAR bn from Dec 2012 (Median) to 2020, with 9 observations. The data reached an all-time high of 167.270 QAR bn in 2014 and a record low of 105.700 QAR bn in 2018. Qatar MDPS Projection: TBS: Current data remains active status in CEIC and is reported by Ministry of Development Planning and Statistics . The data is categorized under Global Database’s Qatar – Table QA.F002: Government Budget: Projection: Ministry of Development, Planning and Statistics.

MDPS Projection: Current Account Balance: as % of Nominal GDP data was reported at 7.900 % in 2020. This records a decrease from the previous number of 8.900 % for 2019. MDPS Projection: Current Account Balance: as % of Nominal GDP data is updated yearly, averaging 4.900 % from Dec 2015 (Median) to 2020, with 6 observations. The data reached an all-time high of 9.200 % in 2018 and a record low of -0.400 % in 2016. MDPS Projection: Current Account Balance: as % of Nominal GDP data remains active status in CEIC and is reported by Ministry of Development Planning and Statistics . The data is categorized under Global Database’s Qatar – Table QA.JB003: Current Account Balance: Percentage of Nominal GDP: Projection: Ministry of Development, Planning and Statistics.

Qatar MDPS Projection: TBS: Capital data was reported at 93.000 QAR bn in 2020. This stayed constant from the previous number of 93.000 QAR bn for 2019. Qatar MDPS Projection: TBS: Capital data is updated yearly, averaging 60.920 QAR bn from Dec 2012 (Median) to 2020, with 9 observations. The data reached an all-time high of 97.500 QAR bn in 2018 and a record low of 49.500 QAR bn in 2016. Qatar MDPS Projection: TBS: Capital data remains active status in CEIC and is reported by Ministry of Development Planning and Statistics . The data is categorized under Global Database’s Qatar – Table QA.F002: Government Budget: Projection: Ministry of Development, Planning and Statistics.

Abstract

The survey aimed to provide updated information needed to assess the situation of children, women and men in Qatar. This information would be used to measure progress towards the achievement of the Millennium Development Goals, the goals of "A World Fit for Children" and other national objectives.

The survey was part of an overall GCC statistical initiative to collect data on children and women in all the GCC States. The State of Qatar offered to serve as a pilot country and share experiences of implementing the MICS in the GCC. The findings of this pilot will contribute to experience sharing while providing important data for national planning.

The 2010 Qatar Multiple Indicator Cluster Survey has as its primary objectives:

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

• To furnish data needed for monitoring progress toward goals established in the

• Millennium Declaration and other internationally agreed upon goals, as a basis for future action;

• To contribute to the improvement of data and monitoring systems in Qatar and to strengthen technical expertise in the design, implementation, and analysis of such systems.

• To generate data on the situation of children women and men, including the identification of vulnerable groups and of disparities, to inform policies and interventions.

• To pilot the CAPI application for use in the MICS programme globally.

• To provide GCC States an opportunity to gain experience of the global MICS programme and its applicability in the GCC.

Geographic coverage

National Coverage

Analysis unit

• Individuals

• Households

Universe

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

Kind of data

Sample survey data [ssd]

Sampling procedure

The major features of the sample design are described in this appendix. Sample design features include target sample size, sample allocation, sampling frame and listing, choice of domains, sampling stages, stratification, and the calculation of sample weights. The primary objective of the sample design for the Qatar Multiple Indicator Cluster Survey was to produce statistically reliable estimates of most indicators, at the national level. A multi-stage, stratified cluster sampling approach was used for the selection of the survey sample.

The target sample size for the Qatar MICS was calculated as 4576 households. For the calculation of the sample size, the key indicator used was the [“gross enrolment ratio in preprimary level”].

Originally 100 sample Qatari enumeration areas (EAs) and 100 sample non-Qatari EAs were selected at the first sampling stage covering all municipalities, and it was planned to select 23 households in each sample EA at the second stage. However, three Qatari sample EAs were not visited for cultural reasons. These EAs had previously been selected for more than one recent survey, and would thus place a heavy burden on these households. In addition, two non-Qatari EAs were not visited, as these had since been demolished. Therefore the final sample included 97 clusters for Qatari households and 98 clusters for non-Qatari households, for a total of 195 sample clusters. Given that three Qatari sample clusters and two non-Qatari sample clusters could not be enumerated, the second stage sampling procedures were adjusted to select 25 households in the Qatari sample EAs and 24 households in the non-Qatari sample EAs. The number of households selected per sample EA takes into account several considerations, including the design effect, available budget, and the need to complete the work of each cluster.

SAMPLING FRAME AND SELECTION OF CLUSTERS

The 2010 Qatar census frame was used for the selection of clusters. Census enumeration areas were defined as primary sampling units (PSUs), and were selected from each of the Sampling frame was stratified by nationality (Qatari and Non-Qatari) by using systematic pps (probability proportional to size) sampling procedures. The first stage of sampling was thus completed by selecting the required number of enumeration areas in each stratum.

Two separate area frames were constructed; 1) Qatari Households and 2) Non-Qatari Households. The Qatari frame consists of PSUs that will have only Qatari households and the same is true for the non-Qatari frame. This implies that in Qatari PSU, there is no chance of selection of a non-Qatari household and vice versa but all the households will have a chance of being selected in the sample in their respective PSUs.

LISTING ACTIVITIES

Since the sampling frame (the 2010 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, who visited each enumeration area, and listed the occupied households.

SELECTION OF HOUSEHOLDS

Lists of households were prepared by the listing teams in the field for each enumeration area. The households were then sequentially numbered from 1 to n (the total number of households in each enumeration area) at the MDP&S, where the selection of 25 households in each enumeration area for the Qatari stratum and 24 households for the non-Qatari stratum was carried out using random systematic selection procedures.

Mode of data collection

Face-to-face [f2f]

Research instrument

Four sets of questionnaires were used in the survey: 1) a household questionnaire which was used to collect information on all de jure household members (usual residents), and the dwelling; 2) the Questionnaire for Individual Women was administered to all women aged 15-49 years living in the households (excluding domestic help); 3) the questionnaire for individual men was administered to all for men aged 15-49 years, living in the household (excluding domestic help); 4) the Questionnaire for Children under Five was administered to mothers or caretakers of children under 5 years of age2 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.

The questionnaires are based on the MICS4 model questionnaire. From the MICS4 standard questionnaire version in Arabic, the questionnaires were customized to the local context and were pre-tested during April 2012. Based on the results of the pre-test, modifications were made to the wording and translation of the questionnaires and the standard data entry application. A copy of the State of Qatar MICS questionnaires is provided in the Related Materials.

Cleaning operations

Data were entered using the CSPro software. The data was collected using a PDA device. Procedures and standard MICS data processing and analysis application for Computer Aided Personal Interviewing (CAPI) developed under the global MICS4 programme were adapted to the State of Qatar questionnaire and were used throughout data collection and analysis. Data were shared with the central office and field work was monitored on a daily basis. Data were analysed using the Statistical Package for Social Sciences (SPSS) software program, Version 19, and the model syntax and tabulation plans developed by UNICEF were used for this purpose. Data processing support was provided for the entire period of field work through the UNICEF Regional Office data processing consultants and through regular interaction with the data processing team at UNICEF HQs.

Response rate

Of the 4,580 households selected for the sample, 4541 were found to be occupied. Of these, 4501 were successfully interviewed for a household response rate of 99 percent. In the interviewed households, 5,809 women (age 15-49 years) were identified. Of these, 5699 were successfully interviewed, yielding a response rate of 98 percent. Similarly, the interviewed households, 5,705 men (age 15-49 years) were identified. Of these, 5,630 were successfully interviewed, yielding a response rate of 99 percent. In addition, 2,121 children under age five were listed in the household questionnaire. Questionnaires were completed for 2,082 of these children, which corresponds to a response rate of 98 percent within interviewed households. Overall response rates for all interviews with adult women 97percent, adult men 98 percent, and for children below the age of five 97 percent.

Sampling error estimates

The sample of respondents selected in the Qatar Multiple Indicator Cluster Survey 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 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 linearization 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.

Indicator 5.3.1Proportion of women aged 20–24 years who were married or in a union before age 15 and before age 18.Methodology:Number of women aged 20-24 who married before 15 years of age (or before 18 years of age) divided by the number of women aged 20-24 years of the population * 100Data Source:Ministry of Development Planning and Statistics 2012, Qatar MICS4, 2012.

MDPS Forecast: Nominal GDP: YoY data was reported at 3.900 % in 2020. This records a decrease from the previous number of 6.500 % for 2019. MDPS Forecast: Nominal GDP: YoY data is updated yearly, averaging 5.200 % from Dec 2015 (Median) to 2020, with 6 observations. The data reached an all-time high of 13.800 % in 2018 and a record low of -13.400 % in 2015. MDPS Forecast: Nominal GDP: YoY data remains active status in CEIC and is reported by Ministry of Development Planning and Statistics . The data is categorized under Global Database’s Qatar – Table QA.A022: GDP: Current Price: Year on Year Growth: Forecast: Ministry of Development, Planning and Statistics.

MDPS Forecast: Overnight Deposit Rate data was reported at 3.500 % in 2020. This records an increase from the previous number of 3.000 % for 2019. MDPS Forecast: Overnight Deposit Rate data is updated yearly, averaging 0.750 % from Dec 2011 (Median) to 2020, with 10 observations. The data reached an all-time high of 3.500 % in 2020 and a record low of 0.750 % in 2016. MDPS Forecast: Overnight Deposit Rate data remains active status in CEIC and is reported by Ministry of Development Planning and Statistics . The data is categorized under Global Database’s Qatar – Table QA.M002: Deposit Rates: Forecast: Ministry of Development, Planning and Statistics.

Qatar MDPS Projection: Total Budget Spending (TBS) data was reported at 203.300 QAR bn in 2020. This records a decrease from the previous number of 204.100 QAR bn for 2019. Qatar MDPS Projection: Total Budget Spending (TBS) data is updated yearly, averaging 205.960 QAR bn from Dec 2012 (Median) to 2020, with 9 observations. The data reached an all-time high of 228.190 QAR bn in 2014 and a record low of 199.220 QAR bn in 2013. Qatar MDPS Projection: Total Budget Spending (TBS) data remains active status in CEIC and is reported by Ministry of Development Planning and Statistics . The data is categorized under Global Database’s Qatar – Table QA.F002: Government Budget: Projection: Ministry of Development, Planning and Statistics.

MDPS Forecast: Foreign Exchange Rate: USD data was reported at 3.640 QAR in 2020. This stayed constant from the previous number of 3.640 QAR for 2019. MDPS Forecast: Foreign Exchange Rate: USD data is updated yearly, averaging 3.640 QAR from Dec 2011 (Median) to 2020, with 10 observations. The data reached an all-time high of 3.640 QAR in 2020 and a record low of 3.640 QAR in 2020. MDPS Forecast: Foreign Exchange Rate: USD data remains active status in CEIC and is reported by Ministry of Development Planning and Statistics . The data is categorized under Global Database’s Qatar – Table QA.M006: Foreign Exchange Rates: Forecast: Ministry of Development, Planning and Statistics.

MDPS Forecast: Consumer Price Index: YoY data was reported at 2.600 % in 2020. This records an increase from the previous number of 2.500 % for 2019. MDPS Forecast: Consumer Price Index: YoY data is updated yearly, averaging 2.550 % from Dec 2015 (Median) to 2020, with 6 observations. The data reached an all-time high of 3.600 % in 2017 and a record low of 1.000 % in 2018. MDPS Forecast: Consumer Price Index: YoY data remains active status in CEIC and is reported by Ministry of Development Planning and Statistics . The data is categorized under Global Database’s Qatar – Table QA.I003: Consumer Price Index: 2013=100: Year on Year Growth: Forecast: Ministry of Development, Planning and Statistics.

Qatar Vital Statistics: Annual: Natural Increase data was reported at 25,612.000 Person in 2017. This records an increase from the previous number of 24,469.000 Person for 2016. Qatar Vital Statistics: Annual: Natural Increase data is updated yearly, averaging 9,610.500 Person from Dec 1970 (Median) to 2017, with 48 observations. The data reached an all-time high of 25,612.000 Person in 2017 and a record low of 3,152.000 Person in 1970. Qatar Vital Statistics: Annual: Natural Increase data remains active status in CEIC and is reported by Ministry of Development Planning and Statistics . The data is categorized under Global Database’s Qatar – Table QA.G002: Vital Statistics.

Qatar Number of New Buildings: Residential: Al Rayyan: Arabic House data was reported at 0.000 Unit in 2013. This stayed constant from the previous number of 0.000 Unit for 2012. Qatar Number of New Buildings: Residential: Al Rayyan: Arabic House data is updated yearly, averaging 1.000 Unit from Dec 1988 (Median) to 2013, with 26 observations. The data reached an all-time high of 6.000 Unit in 1991 and a record low of 0.000 Unit in 2013. Qatar Number of New Buildings: Residential: Al Rayyan: Arabic House data remains active status in CEIC and is reported by Ministry of Development Planning and Statistics . The data is categorized under Global Database’s Qatar – Table QA.EB001: Number of New Buildings: by Type and Region.

Qatar Productivity per Employee: Private: SP: Health & Social Work: Other Human Health Activities data was reported at 293,927.000 QAR in 2013. This records an increase from the previous number of 248,297.000 QAR for 2012. Qatar Productivity per Employee: Private: SP: Health & Social Work: Other Human Health Activities data is updated yearly, averaging 150,311.000 QAR from Dec 2001 (Median) to 2013, with 13 observations. The data reached an all-time high of 293,927.000 QAR in 2013 and a record low of 66,412.000 QAR in 2001. Qatar Productivity per Employee: Private: SP: Health & Social Work: Other Human Health Activities data remains active status in CEIC and is reported by Ministry of Development Planning and Statistics . The data is categorized under Global Database’s Qatar – Table QA.G013: Productivity per Employee.

Qatar Vital Statistics: Annual: Number of Marriage data was reported at 3,718.000 Unit in 2017. This records a decrease from the previous number of 3,830.000 Unit for 2016. Qatar Vital Statistics: Annual: Number of Marriage data is updated yearly, averaging 2,145.000 Unit from Dec 1984 (Median) to 2017, with 34 observations. The data reached an all-time high of 3,830.000 Unit in 2016 and a record low of 1,092.000 Unit in 1985. Qatar Vital Statistics: Annual: Number of Marriage data remains active status in CEIC and is reported by Ministry of Development Planning and Statistics . The data is categorized under Global Database’s Qatar – Table QA.G002: Vital Statistics.

Qatar Trade Balance: Annual data was reported at 191,436.399 QAR mn in 2018. This records an increase from the previous number of 136,819.860 QAR mn for 2017. Qatar Trade Balance: Annual data is updated yearly, averaging 162,633.773 QAR mn from Dec 2014 (Median) to 2018, with 5 observations. The data reached an all-time high of 350,408.446 QAR mn in 2014 and a record low of 91,904.899 QAR mn in 2016. Qatar Trade Balance: Annual data remains active status in CEIC and is reported by Ministry of Development Planning and Statistics . The data is categorized under Global Database’s Qatar – Table QA.JA001: Trade Statistics.

Qatar MDPS Forecast: Real GDP: YoY data was reported at 3.100 % in 2020. This records an increase from the previous number of 2.900 % for 2019. Qatar MDPS Forecast: Real GDP: YoY data is updated yearly, averaging 3.400 % from Dec 2015 (Median) to 2020, with 6 observations. The data reached an all-time high of 3.900 % in 2016 and a record low of 2.600 % in 2018. Qatar MDPS Forecast: Real GDP: YoY data remains active status in CEIC and is reported by Ministry of Development Planning and Statistics . The data is categorized under Global Database’s Qatar – Table QA.A023: GDP: 2013 Price: Year on Year Growth: Forecast: Ministry of Development, Planning and Statistics.

Qatar Labour Force: FT: Real Estate data was reported at 12,177.000 Person in 2016. This records a decrease from the previous number of 12,339.000 Person for 2015. Qatar Labour Force: FT: Real Estate data is updated yearly, averaging 12,258.000 Person from Dec 2006 (Median) to 2016, with 10 observations. The data reached an all-time high of 46,326.000 Person in 2009 and a record low of 9,088.000 Person in 2011. Qatar Labour Force: FT: Real Estate data remains active status in CEIC and is reported by Ministry of Development Planning and Statistics . The data is categorized under Global Database’s Qatar – Table QA.G003: Labour Force and Labour Force Participation Rate.

No of Establishments: MM: Less than 10 Employees: Mfg: Electrical Machinery & Apparatus nec data was reported at 3.000 Unit in 2016. This records an increase from the previous number of 1.000 Unit for 2015. No of Establishments: MM: Less than 10 Employees: Mfg: Electrical Machinery & Apparatus nec data is updated yearly, averaging 0.000 Unit from Dec 1998 (Median) to 2016, with 19 observations. The data reached an all-time high of 16.000 Unit in 2010 and a record low of 0.000 Unit in 2012. No of Establishments: MM: Less than 10 Employees: Mfg: Electrical Machinery & Apparatus nec data remains active status in CEIC and is reported by Ministry of Development Planning and Statistics . The data is categorized under Global Database’s Qatar – Table QA.O003: Number of Establishments: Mining, Quarrying and Manufacturing.

Qatar Labour Force: FT: Male: Real Estate data was reported at 11,405.000 Person in 2016. This records an increase from the previous number of 11,364.000 Person for 2015. Qatar Labour Force: FT: Male: Real Estate data is updated yearly, averaging 11,384.500 Person from Dec 2006 (Median) to 2016, with 10 observations. The data reached an all-time high of 44,035.000 Person in 2009 and a record low of 8,656.000 Person in 2011. Qatar Labour Force: FT: Male: Real Estate data remains active status in CEIC and is reported by Ministry of Development Planning and Statistics . The data is categorized under Global Database’s Qatar – Table QA.G003: Labour Force and Labour Force Participation Rate.