Population Estimation Survey of Somalia 2014
Urban Round
Somalia, 2013 - 2014
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Reference ID
SOM-NS-PESS-2014
Producer(s)
Directorate of National Statistics
Metadata
Created on
Mar 13, 2017
Last modified
Jul 21, 2023
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Identification
Survey ID Number
SOM-NS-PESS-2014
Title
Population Estimation Survey of Somalia 2014
Subtitle
Urban Round
Country
| Name | Country code |
|---|---|
| Somalia | SOM |
Study type
Population and Housing Census [hh/popcen]
Series Information
Mapping Output
Updated list of settlements and water points
Geo file for sampling purpose (sampling frame)
Geo referenced database
Updated list of settlements and water points
Geo file for sampling purpose (sampling frame)
Geo referenced database
Abstract
Summary
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
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
Kind of Data
Census/enumeration data [cen]
Unit of Analysis
Count Somali Population to know size of population living with Cities
Version
Version Description
V1.0 (for Public use)
Version Date
2014-01-19
Version Notes
Mapping challenges
GPS is not available with the required quantity
The third step (mapping rural) just starting in PL and SL since financial issues.
Second step (mapping urban) is just starting in SC Somalia
GPS is not available with the required quantity
The third step (mapping rural) just starting in PL and SL since financial issues.
Second step (mapping urban) is just starting in SC Somalia
Scope
Notes
The specific objectives of PESS include:
1. 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.
2.Developing the capacity and foundation of government institutions responsible for
compiling and storing statistics, while empowering individuals in these institutions.
1. 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.
2.Developing the capacity and foundation of government institutions responsible for
compiling and storing statistics, while empowering individuals in these institutions.
Coverage
Geographic Coverage
National Coverage
Universe
PESS is a first milestone reached towards implementing a full and comprehensive population
and housing census
and housing census
Producers and sponsors
Primary investigators
| Name | Affiliation |
|---|---|
| Directorate of National Statistics | Ministry of Planning and International Cooperarion |
Producers
| Name |
|---|
| United Nation Fund Population |
Funding Agency/Sponsor
| Name | Abbreviation |
|---|---|
| United National Fund Population | UNFPA |
Sampling
Sampling Procedure
The average size of such a town block was 100 households, but
throughout this study these ranged between 50 to 149 households
throughout this study these ranged between 50 to 149 households
Deviations from the Sample Design
All households in selected
survey areas were interviewed. This method ensured that respondents
accurately represented the entire population.
survey areas were interviewed. This method ensured that respondents
accurately represented the entire population.
Weighting
The essence of the above formula was that each settlement had its own probability of selection.
Smaller PSUs had a lower probability of selection, but a larger sampling weight if selected
because the weight is the reciprocal of the selection probability. This implies that the weighting,
to the largest extent possible, ensured unbiased results since the sample values in each selected
settlement were multiplied by their respective weights.
Smaller PSUs had a lower probability of selection, but a larger sampling weight if selected
because the weight is the reciprocal of the selection probability. This implies that the weighting,
to the largest extent possible, ensured unbiased results since the sample values in each selected
settlement were multiplied by their respective weights.
Data Collection
Dates of Data Collection
| Start | End |
|---|---|
| 2013-06-10 | 2014-10-10 |
Data Collection Mode
Face-to-face [f2f]
Supervision
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.
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.
Data Collectors
| Name | Abbreviation | Affiliation |
|---|---|---|
| Directorate of National Statics | DNS | Ministry of Planning and International Cooperation |
Questionnaires
Questionnaires
The questionnaires were explained in great detail. The
training also included a field exercise
training also included a field exercise
Data Processing
Data Editing
To obtain useful survey results, data must be free from errors and inconsistencies to the greatest
extent possible, especially after the data processing stage. Data editing is the process of detecting
errors made during and after data collection and capture, and then adjusting individual
items to improve data quality
extent possible, especially after the data processing stage. Data editing is the process of detecting
errors made during and after data collection and capture, and then adjusting individual
items to improve data quality
Other Processing
Data entry
The process of converting the information obtained in the survey to a format that can be
interpreted by a computer is referred to as data capture. A keyboard data entry approach
was adopted as the most appropriate means of data capture for the PESS data. To implement
this approach, a data entry programme was designed using the Census and Survey Processing
System (CSPro).
The process of converting the information obtained in the survey to a format that can be
interpreted by a computer is referred to as data capture. A keyboard data entry approach
was adopted as the most appropriate means of data capture for the PESS data. To implement
this approach, a data entry programme was designed using the Census and Survey Processing
System (CSPro).
Access policy
Contacts
| Name | Affiliation | URL | |
|---|---|---|---|
| division Statistical Information and Publication | Directorate od National Statistics | info@mopic.gov.so | www.mopic@gov.so |
Confidentiality
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.
Access conditions
1. 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.
2. Utilization of “data” or any copies thereof is limited to personal computers normally .
3. 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.
2. Utilization of “data” or any copies thereof is limited to personal computers normally .
3. 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.
Citation requirements
United Natiion Fund Population and Ministry of Planning and International Cooperation
Access authority
| Name | Affiliation | URL | |
|---|---|---|---|
| Directorate National Statistics | Ministry of Planning and International Cooperation | info@mopic.gov.so | www.mopic.gov.so |
Disclaimer and copyrights
Disclaimer
DNS provid 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.
Copyright
(c) All Rights Reserved. Directorate of National Statistics, (Reference Date of Data).
Metadata production
DDI Document ID
DDI-SOM-NS-PESS-2014-V1.0
Producers
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| Directorate of National Statistics | DNS | Ministry of Planning and International Cooperation | Collection, processing and dissemination data |
Date of Metadata Production
2015-03-16
DDI Document version
V1.0