SOM_2013_PESS_v01_M
Population Estimation Survey of Somalia 2014
Urban Round
Name | Country code |
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Somalia | SOM |
Population and Housing Census [hh/popcen]
PESS was designed with the aim of estimating the size of the population, and gathering information on the Somali people’s geographic distribution and their social and economic characteristics. PESS is a first milestone reached towards implementing a full and comprehensive population and housing census.
The specific objectives of PESS include:
a. Establishing reliable estimates of the size, age and sex of the Somali population living in urban areas, camps for internally displaced persons, rural areas, and nomadic communities.
b. Developing the capacity and foundation of government institutions responsible for compiling and storing statistics, while empowering individuals in these institutions.
c. Providing estimates of the number of households and information on the geographic distribution of households, the description of the structure of households, along with other demographic and socioeconomic data. For example, information on health and education which would be essential inputs in the preparation of humanitarian and development plans.
d. Setting an integrated baseline for basic and crucial information, and supplying tools such as sampling frames for future surveys and a potential population census.
Census/enumeration data [cen]
Individuals
V1.0 (for Public use)
2014-01-19
The Scope of PESS includes:
a. The size and geographical distribution of the population.
b. A description of basic socio-demographic and socioeconomic characteristics of the population (age-sex distribution, marital status, mortality, literacy, education, economic activity, etc.).
c. Estimation of the number and geographical distribution of households by their heads, size and composition.
d. A description of the structure and living conditions of the households (living arrangements,access to water, energy and telecommunication) and the characteristics of their heads (age,sex, literacy, education and economic activity).
Topic | Vocabulary | URI |
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censuses [14.1] | CESSDA | http://www.nesstar.org/rdf/common |
fertility [14.2] | CESSDA | http://www.nesstar.org/rdf/common |
migration [14.3] | CESSDA | http://www.nesstar.org/rdf/common |
morbidity and mortality [14.4] | CESSDA | http://www.nesstar.org/rdf/common |
National Coverage
Name | Affiliation |
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Directorate of National Statistics | Ministry of Planning and International Cooperarion |
Name |
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United National Fund Population |
PESS is a one-stage stratified cluster sample design. The design weight for a unit in the sample is the inverse of its probability of inclusion. Note that in any multi-stage selection, account is taken of selection probabilities of segment(s) (Primary Sampling Units (PSUs)), non-response or non-coverage. The probability of selection is the combined probability of selection at each stage; the weight takes into account adjustment if done. The non-response adjustment factor is defined as the ratio of the sum of the weights in the original sample to the sum of weights of the responding units. Additional details on sampling are provided in the survey report provided under the Related Materials tab.
The urban and rural sedentary population was weighted using the inverse of the selection probabilities.
The Main Survey Questionnaire is divided into five sections:
Besides these main sections there are some items of survey control information that need to be recorded on the questionnaire.
Start | End |
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2013-10 | 2014-03 |
Name | Affiliation |
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Directorate of National Statics | Ministry of Planning and International Cooperation |
Supervisors, supported by a Somali technical team composed of Statistical Director and experts from different fields to oversee that the work was implemented as planned in a smooth operational manner.
Adjustments for non-response made on the data : Some EAs or settlements were not covered even though selected for the survey. Equally, some households listed in the EAs were not fully covered in a number of cases. There was need, therefore, to make adjustments for these two problems. In this case, considering the number of selected EAs to be ns and the number responding to be nr, the adjustment for the non-response involving EAs/settlements was ns/nr . Following the same approach, the adjustment for the households missed in the enumeration was given as nsh/nrh. These two adjustments were carried out on the sedentary urban and rural data. The number of the PSUs selected for the urban and rural is provided in Table 1 of the Methodology and Application Report, while the number of EAs that responded are provided in Table 2. The two tables provide a snapshot view of the extent of the non-response which consequently required adjustment.
Inaccessible areas were estimated independently using the satellite imageries. The satellite images were used to count the number of structures in the boundaries of each of the inaccessible areas. The information on mean sizes of structures, dwelling units and households were key in the application of the technique. From the listing information and the mapping exercise, the expected number of dwelling units per structure was established. In addition the average number of dwelling units in the structures was determined and using the mean household size of 6 the population for areas that could not be accessed was estimated. The use of this data was based on the fact that the averages for the variables under consideration do not vary widely particularly in the rural areas.
Corrections on data file : There were various duplicates in the data file involving records of individuals in the households. Within one household, there would be an individual having records duplicated. Such anomalies were detected by scrutiny of the records in the households. The members would be having same values for the variables of the data. These were cleaned out by deleting one of the duplicates whenever identified.
Nomadic data : The estimation was based on the weights based on the number of water points allocated to a given region and the mean number of watering episodes. Further adjustment was made in consideration of the duration of the watering episodes. One observation is that the mean watering time was not in conformity to the documented time for the animal types. For example it was noted that the camels were watering at closer intervals of time contrary to the 12 day period assumed in the study. This means that within the 12 day period there would be more camels appearing at the water points than expected. Thus if the watering interval was earlier understood to be 12 and yet in the interviewing period it is found to be 4 days, then there will be more camels at the water points during the interviewing period than expected in the theoretical formulation. Where such an observation was observed, an adjustment based on the ratio of the number of days n to 12 was used.
Name | Affiliation | URL | |
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Directorate National Statistics | Ministry of Planning and International Cooperation | www.mopic.gov.so | info@mopic.gov.so |
Is signing of a confidentiality declaration required? | Confidentiality declaration text |
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yes | 1. All individual information and data submitted to the Bureau for statistical purposes shall be treated as confidential and shall not be divulged, in whole or in part, to any individual or to a public or private body, or used for any purpose other than for preparing statistical tables. 2. The Bureau shall endeavor to issue official statistical publications in aggregate tables, which do not disclose individual data, in conformity with the confidentiality of statistical data. |
The dataset has been anonymized and is available as a Public Use Dataset. It is accessible to all for statistical and research purposes only, under the following terms and conditions:
The user pledges the utilization of “data” or any copies thereof shall be limited to the purposes agreed upon including not granting any third parties any access to these data. Restrictions applies to any data duplication or transformed setting for purposes other than meeting the requirements of the statistical programs used in data analysis.
Utilization of “data” or any copies thereof is limited to personal computers normally .
The user pledges not to alter the value of any observation in the original “data”; nevertheless, this does not apply on subjecting data to any processes or procedures aiming to derive new variables. The first party does not bear any professional, administrative or financial responsibility for any losses incurred as a result of changes in the variables values.
Example:
Use of the dataset must be acknowledged using a citation which would include:
Example:
Directorate of National Statistics 2013. Population Estimation Survey of Somalia (PESS) 2013-2014. Ref: SOM-NS-PESS-2014. Distributed by Directorate of National Statistics. Downloaded from [url] on [date]
DNS provides data collected for purely statistical purposes, and therefore does not assume any responsibility for legal or professional from any claim or analysis or interpretation or misuse of this data.
© 2017 Directorate of National Statistics
Name | Affiliation | URL | |
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Division of Statistical Information and Publication | Directorate of National Statistics | info@mopic.gov.so | www.mopic@gov.so |
DDI_SOM_2013_PESS_v01_M
Name | Affiliation | Role |
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Directorate of National Statistics | Ministry of Planning and International Cooperation | Collection, processing and dissemination data |
Development Economics Data Group | The World Bank | Documentation of the DDI |
2018-06-01
Version 01 (June 2018)
Metadata quality checks and revisions done by DECDG World Bank.