Enterprise Survey 2019
Haiti, 2019
Get MicrodataIdentification
HTI_2019_ES_v01_M
Enterprise Survey 2019
| Name | Country code |
|---|---|
| Haiti | HTI |
Enterprise Survey [en/oth]
An Enterprise Survey (ES) 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 2005-06, most data collection efforts have been centralized within the Enterprise Analysis Unit (FPDEA). The Enterprise Surveys are conducted across all geographic regions and cover small, medium, and large companies. Data are used to create indicators that benchmark the quality of the business and investment climate across countries.
The ES currently covers over 185,000 firms in 151 countries, of which 143 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.
In Haiti, data from 149 establishments were taken from listings from three sources: UNOPS 2018, UNICEF 2018, and Haiti Business Database 2018. The survey topics include firm characteristics, infrastructure and services, sales and supplies, management practices, degree of competition, innovation, land and permits, crime, finance, mobile money, insurance, business-government relations, labor, business environment, performance, and post-interview information.
Sample survey data[ssd]
The primary sampling unit of the study is the 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 01. Edited, anonymous dataset for public distribution
Scope
The Haiti 2019 Enterprise Survey covered the following topics:
- General information of the firm/ establishment
- Infrastructure and services
- Sales and supplies
- Management practices
- Degree of competition
- Innovation
- Land and permits
- Crime
- Finance
- Mobile money
- Insurance
- Business-government relations
- Labor
- Business environment
- Performance
- Post-interview information
Coverage
The entire sample is composed of four communes in Port-au-Prince Arrondissement:
- Port-au-Prince commune
- Delmas commune
- Peiton-Ville commune
- Tabarre commune
Because of safety concerns on the ground or during transit, the following communes in Port-au-Prince Arrondissement were excluded from the sample:
- Carrefour
- Cite Soleil
- Gressier
- Kenscoff
Regions covered are selected based on the number of establishments, contribution to employment, and value added. In most cases these regions are metropolitan areas and reflect the largest centers of economic activity in a country.
Following the standard methodological approach, the sample is comprised of businesses that employ 5 or more employees and have at least some private ownership. However, departing from the global methodology, some businesses in the professional and support services activities which are not part of the standard Universe of Inference of the ES were included in the Haiti survey.
Producers and sponsors
| Name |
|---|
| World Bank Group |
| Name |
|---|
| World Bank Group |
Sampling
Attempts were made to obtain quality sampling frames. However due to the lack of reliable data, the sample frame was limited to listings of firms from three sources: UNOPS 2018, UNICEF 2018, and Haiti Business Database 2018. In addition, corrections to the sampling frame were made as interviewers were in the field and new businesses were found.
The entire sample is composed of four communes in Port-au-Prince Arrondissement:
- Port-au-Prince commune - where fieldwork was determined depending on the day and level of violence on that particular day.
- Delmas commune - where fieldwork was determined depending on the day and level of violence on that particular day.
- Peiton-Ville commune - which is considered one of the wealthier communes; fieldwork was conducted during the mornings before protesters make their way there.
- Tabarre commune - which was comparatively safer when no protests were planned.
The sampling strategy from the onset began by mapping the locations of the firms in the sampling frame and determining the safety situation. As safety windows appeared, interviewers would go to areas and try to screen and conduct the interview in the business. A total of 149 firms were interviewed.
The weights are constructed based on the location of the completed interviews, and the density of firms in the sampling frames. Since no stratification was used for the sampling, the only cells for stratification of the weights are the communes in order to account unsafe areas.
Given the non-randomness element introduced in the sampling due to safety concerns, users are cautioned about using the weights. While the weights scale-up to the available sampling frame, they are constructed only for the safe areas of Port-au-Prince.
Survey instrument
Two questionnaires - Manufacturing amd Services were used to collect the survey data.
The Questionnaires have common questions (core module) and respectfully additional manufacturing- and services-specific questions. The eligible manufacturing industries have been surveyed using the Manufacturing questionnaire (includes the core module, plus manufacturing specific questions). Retail firms have been interviewed using the Services questionnaire (includes the core module plus retail specific questions) and the residual eligible services have been covered using the Services questionnaire (includes the core module).
Data collection
| Start | End |
|---|---|
| 2019-10 | 2019-10 |
Data Access
| 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. |
Aggregate indicators based on Enterprise Survey data are available to the public at https://www.enterprisesurveys.org
Firm-level data is also available to the public free-of-charge. In order to access the data, users must agree to abide by a strict confidentiality agreement available through Enterprise Analysis Unit website by clicking on "External users register here" at https://www.enterprisesurveys.org/Portal
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. Haiti Enterprise Survey (ES) 2019, Ref. HTI_2019_ES_v01_M. Dataset downloaded from [URL] 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.
Contacts
| Name | Affiliation | |
|---|---|---|
| Enterprise Analysis Unit | The World Bank | enterprisesurveys@worldbank.org |
Metadata production
DDI_HTI_2019_ES_v01_M_WB
| Name | Affiliation | Role |
|---|---|---|
| Development Economics Data Group | The World Bank | Documentation of the DDI |
2019-06-10
Metadata version
Version 01 (June 2020)