Micro-Enterprise Survey 2019

Somalia, 2019

Get Microdata

Reference ID

SOM_2019_MS_v01_M

DOI

https://doi.org/10.48529/y2np-s650

Producer(s)

World Bank Group (WBG)

Collection(s)

Enterprise Surveys Fragility, Conflict and Violence

Metadata

Documentation in PDF DDI/XML JSON

Created on

Aug 06, 2020

Last modified

Aug 06, 2020

Page views

25237

Downloads

844

Identification

Survey ID number

SOM_2019_MS_v01_M

Title

Micro-Enterprise Survey 2019

Country/Economy

Name	Country code
Somalia	SOM

Study type

Enterprise Survey [en/oth]

Series Information

As part of its strategic goal of building a climate for investment, job creation, and sustainable growth, the World Bank has promoted improving business environments as a key strategy for development, which has led to a systematic effort in collecting enterprise data across countries. The Enterprise Surveys are an ongoing World Bank project in collecting both objective data based on firms' experiences and enterprises' perception of the environment in which they operate.

An Enterprise Survey is a firm-level survey of a representative sample of an economy's private sector. Firm-level surveys have been conducted since 1998 by different units within the World Bank. Since 2005-2006, most data collection efforts have been centralized within the Enterprise Analysis Unit. The Enterprise Surveys are conducted across all geographic regions and cover small, medium, and large companies. The surveys are administered to a representative sample of firms in the non-agricultural formal private economy. Data are used to create indicators that benchmark the quality of the business and investment climate across countries.

As of December 2019, the ES covers over 180,000 firms in 150 countries, of which 142 have been surveyed following the standard methodology. This allows for better comparisons across countries and across time. Data are used to create statistically significant business environment indicators that are comparable across countries. The ES are also used to build a panel of enterprise data that will make it possible to track changes in the business environment over time and allow, for example, impact assessments of reforms.

Abstract

The survey was conducted in Somalia between October 2019 to December 2019 by the World Bank Group (WBG). The survey covers two cities: Bosaso and Mogadishu . The fieldwork was implemented by Altai Consulting plc, a survey firm based in Kenya.

The primary objectives of the survey are:
i) to understand the business demographics of micro-enterprises in the two cities, and
ii) to describe the environment within which these businesses operate.

A secondary objective of the survey is to provide an estimate of the number of micro-enterprises operating in these cities.

Kind of Data

Sample survey data [ssd]

Unit of Analysis

Unit of analysis is establishment. An establishment is a physical location where business is carried out and where industrial operations take place or services are provided. A firm may be composed of one or more establishments. For example, a brewery may have several bottling plants and several establishments for distribution. For the purposes of this survey an establishment must make its own financial decisions and have its own financial statements separate from those of the firm. An establishment must also have its own management and control over its payroll.

Version

Version Description

Version 01. Edited, anonymous dataset for public distribution.

Scope

Notes

The Somalia 2019 Micro-Enterprise Survey covered the following topics:

General information
Location and infrastructure
Crime
Sales and supplies
Business practices
Finance
Labor
Business environment
Assets

Coverage

Universe

The universe for the Somalia Micro-Enterprise Survey includes formally registered businesses with less than five employees. In terms of sector and size, the survey covers all non-agricultural sectors and businesses of all size categories if they meet the registration and size criteria.

Producers and sponsors

Primary investigators

Name
World Bank Group (WBG)

Funding Agency/Sponsor

Name
World Bank Group

Sampling

Sampling Procedure

The 2019 Somalia micro-enterprise survey follows an area-based sampling methodology with geographic area rather than an establishment ot a business unit as a primary sampling unit.

To account for potential clustering of these businesses, the survey uses an area-based sampling called (stratified) Adaptive Cluster Sampling (ACS), whereby one selects a sample of starting squares and adaptively samples sorrounding squares based on the number of businesses discovered in the enumerated squares. All business in selected squares will be enumerated using a 2 to 3-minutes questionnaire, referred to in this document as the short-form questionnaire.

The short form questionnaire is a listing questionnaire where basic information about the business is collected. A randomly selected subset of the enumerated businesses will be given a 20-minutes questionnaire, referred to in this document as the long-form questionnaire. This is the main questionnaire of the survey and the basis of the database posted on the ES portal.

The survey is adaptive in the sense that if the number of businesses units in a square exceeds a predefined threshold, all the squares surrounding the starting square are surveyed, following the same approach of enumeration and randomly conducting the main interview. If one of the surrounding squares exceed the threshold, then the squares surrounding that square in turn are also surveyed. This process continues until either the network is exhausted, or an arbitrary cut-off point is defined.

The universe includes formally registered businesses with less than five employees. The definition of formal registration can vary by country. For the survey in Zambia, a business that falls under any of the following two categories, in terms of registration, is considered as micro-enterprises registered either with the Ministry of Commerce or the respective Municpality and has less than 5 employees.

Note: See Sections II and IV of "The 2019 Somlia Micro-Enterprises Survey Dataset" report for additional details on the sampling procedure.

Weighting

To estimate population parameters, weights are applied to survey samples. In surveys design following standard random sampling, selection probability of all units is known before the actual data collection. Hence, weights can be derived as the inverse of selection probability.

Survey instrument

Questionnaires

The main data file is collected using a standardized questionnaire, i.e., the long-form questionnaire. The questionnaire was developed building on previous modules used by the Enterprise Analysis Unit of the World Bank to survey informal businesses and micro-enterprises.

Data collection

Dates of Data Collection

Start	End
2019-10	2019-12

Data Collectors

Name
Ipsos Zambia

Access policy

Confidentiality

Is signing of a confidentiality declaration required?	Confidentiality declaration text
yes	Confidentiality of the survey respondents and the sensitive information they provide is necessary to ensure the greatest degree of survey participation, integrity and confidence in the quality of the data. Surveys are usually carried out in cooperation with business organizations and government agencies promoting job creation and economic growth, but confidentiality is never compromised.

Citation requirements

The use of this dataset must be acknowledged using a citation which would include:

the identification of the Primary Investigator (including country name)
the full title of the survey and its acronym (when available), and the year(s) of implementation
the survey reference number
the source and date of download (for datasets disseminated online).

Example:

The World Bank. Somalia - Micro-Enterprise Survey (MS) 2019, Ref. SOM_2019_MS_v01_M. Dataset downloaded from https://www.enterprisesurveys.org/portal/login.aspx on [date].

Depositor information

Depositor

Name	Affiliation
Joshua Seth Wimpey	The World Bank

Disclaimer and copyrights

Disclaimer

The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses.

Contacts

Name	Affiliation	Email
Enterprise Analysis Unit	World Bank Group	enterprisesurveys@worldbank.org

Metadata production

DDI Document ID

DDI_SOM_2019_MS_v01_M_WB

Producers

Name	Affiliation	Role
Development Economics Data Group	The World Bank	Documentation of the DDI

Date of Metadata Production

2020-07-23

Metadata version

DDI Document version

Version 01 (July 2020)

Citation

loading, please wait...

Export citation: RIS | BibTeX | Plain text

Back to Catalog