Employee Survey 2009
Nepal, 2009
Created on
Apr 25, 2019
Last modified
Apr 25, 2019
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215
Identification
Survey ID Number
NPL_2009_Emp_v01_M_WB
Title
Employee Survey 2009
Country
| Name | Country code |
|---|---|
| Nepal | NPL |
Study type
Labor Force Survey [hh/lfs]
Abstract
The survey of Nepal manufacturing sector workers was conducted from March 8 to June 15, 2009, at the same time with 2009 Nepal Enterprise Survey. The research aimed to capture employees' perspectives on work environment and their satisfaction with work conditions. Data from 392 workers was analyzed.
Employee Survey topics include workers' demographic characteristics, their job titles, hours, pay, work experience, health expenditures coverage, on-site training, paid leave, compensation when a contract is terminated and work commuting issues. The study also focuses on employees' trade unions membership and participation in trade unions' actions, evaluates workers' satisfaction with their jobs and employers, and assesses if employees consider migrating for work.
Employee Survey topics include workers' demographic characteristics, their job titles, hours, pay, work experience, health expenditures coverage, on-site training, paid leave, compensation when a contract is terminated and work commuting issues. The study also focuses on employees' trade unions membership and participation in trade unions' actions, evaluates workers' satisfaction with their jobs and employers, and assesses if employees consider migrating for work.
Kind of Data
Sample survey data [ssd]
Unit of Analysis
The primary sampling unit of the study is a permanent full-time employee.
Coverage
Geographic Coverage
National
Universe
Employees working for manufacturing sectors, as defined in ISIC Revision 3.1, Group D, were focus of the study.
Producers and sponsors
Primary investigators
| Name |
|---|
| World Bank |
Funding Agency/Sponsor
| Name |
|---|
| World Bank |
Sampling
Sampling Procedure
From the list of establishments that were randomly selected for 2009 Nepal Enterprise Survey, a sub-set of manufacturing firms with 20 and more workers, was randomly chosen for the Employee Survey. The contractor was instructed to either randomly select respondents from a list of employees, or to walk through an establishment and randomly choose interviewees.
The contractor successfully interviewed 392 employees in 68 businesses; 4-7 workers were interviewed per firm.
The contractor successfully interviewed 392 employees in 68 businesses; 4-7 workers were interviewed per firm.
Data Collection
Dates of Data Collection
| Start | End |
|---|---|
| 2009-03 | 2009-06 |
Data Collection Mode
Face-to-face [f2f]
Data Collection Notes
Private contractors conduct the Enterprise Surveys on behalf of the World Bank. Due to sensitive survey questions addressing business-government relations and corruption-related topics, private contractors are preferred over any government agency or an organization/institution associated with government, and are hired by the World Bank to collect the data.
Data Collectors
| Name |
|---|
| Solutions Consultant Pvt. Ltd. |
Questionnaires
Questionnaires
The current survey instrument is available:
- Employee Questionnaire.
Employee Survey topics include employees' demographic characteristics, their job titles, hours, pay, work experience, health expenditures coverage, on-site training, paid leave, compensation when a contract is terminated and work commuting issues. The study also focuses on employees' trade unions membership and participation in trade unions' actions, evaluates workers' satisfaction with their jobs and employers, and assesses if employees consider migrating for work.
- Employee Questionnaire.
Employee Survey topics include employees' demographic characteristics, their job titles, hours, pay, work experience, health expenditures coverage, on-site training, paid leave, compensation when a contract is terminated and work commuting issues. The study also focuses on employees' trade unions membership and participation in trade unions' actions, evaluates workers' satisfaction with their jobs and employers, and assesses if employees consider migrating for work.
Data Processing
Data Editing
Data entry and quality controls are implemented by the contractor and data is delivered to the World Bank in batches (typically 10%, 50% and 100%). These data deliveries are checked for logical consistency, out of range values, skip patterns, and duplicate entries. Problems are flagged by the World Bank and corrected by the implementing contractor through data checks, callbacks, and revisiting establishments.
Access policy
Contacts
| enterprisesurveys@worldbank.org |
Confidentiality
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.
Access conditions
Aggregate indicators based on Enterprise Analysis Unit 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 firm-level 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
Firm-level data is also available to the public free-of-charge. In order to access the firm-level 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
Citation requirements
Where necessary please site the source as "Enterprise Analysis Unit - World Bank Group https://www.enterprisesurveys.org"
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.
Metadata production
DDI Document ID
DDI_NPL_2009_Emp_v01_M_WB
Producers
| Name |
|---|
| Antonina Redko |
DDI Document version
Version 01