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.
The survey was conducted in Armenia between December 2019 to August 2020 by the World Bank Group (WBG). The survey covers two cities: Bosaso and Mogadishu . The fieldwork was implemented by ACT Global, the main contractor, in collaboration with MPG Armenia, a survey firm based in Armenia.
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 01. Edited, anonymous dataset for public distribution.
The Armenia 2019 Micro-Enterprise Survey covered the following topics:
- Control information
- General information
- Infrastructure and services
- Sales and supplies
- Business practices
- Degree of competition
- Land and permits
- Business-government relations
- Business environment
- Post-interview information
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
World Bank Group (WBG)
World Bank Group
The sample for 2019 Armenia micro-enterprise survey was selected using stratified random sampling, following the methodology explained in the Sampling Note (https://www.enterprisesurveys.org/content/dam/enterprisesurveys/documents/methodology/Sampling_Note.pdf). Two levels of stratification were used in this country: industry and region. The original sample design with specific information of the industries and regions chosen is described in Appendix C (found in the 'Implementation Report').
Industry stratification was designed in the way that follows: two manufacturing industries (food and other manufacturing) and two services industries (retail and other services). Food (ISIC Rev. 3.1 codes 15), Other Manufacturing (ISIC codes 16-37), Retail (ISIC code 52) and Other Services (ISIC codes 45, 50, 51, 55, 60-64, and 72).
There is no further breakdown by firm size for the micro-enterprise survey for sampling purpose and all firms are classified in to one size group, i.e., (1 to 4 employees).
Regional stratification was done across three regions: Yerevan administrative region, Gyumri Municipality and Vanadzor Municipality.
The sample frame used for this survey consist of listings of firms from three sources: lists of firms from Armenian Export Catalogue, through block enumeration and a list of manufacturing firms from Spyur were obtained and used.
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.
Dates of Data Collection
Data Collection Mode
Computer Assisted Personal Interview [capi]
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.
Enterprise Analysis Unit
World Bank Group
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.
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).
The World Bank. Armenia - Micro-Enterprise Survey (MS) 2019, Ref. ARM_2019_MS_v01_M. Dataset downloaded from https://www.enterprisesurveys.org/portal/login.aspx on [date].
Disclaimer and copyrights
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.