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NPL-CBS-NCCS-2019-V01.
Nepal Commercial Coffee Survey 2019
Nepal
,
2018 - 2019
Agriculture, Forestry and Fisheries
Central Bureau of Statistics
Study description
Documentation
Data Description
Get Microdata
Data files
1.Introduction
2. General
Information
2.2
Registration
3. Employment
4.1 Land Parcel
Data file: 3. Employment
The file contains a complete dataset of NCCS 2019.
Cases:
894
Variables:
46
Variables
FRMNO
FormId
Q31SNO$1
S.N.
Q31SNO$2
S.N.
Q31SNO$3
S.N.
Q31SNO$4
S.N.
Q31SNO$5
S.N.
Q31_2$1
Particular
Q31_2$2
Particular
Q31_2$3
Particular
Q31_2$4
Particular
Q31_2$5
Particular
Q31_3$1
Number of Permant Male
Q31_3$2
Number of Permant Male
Q31_3$3
Number of Permant Male
Q31_3$4
Number of Permant Male
Q31_3$5
Number of Permant Male
Q31_4$1
Number of Permanent Female
Q31_4$2
Number of Permanent Female
Q31_4$3
Number of Permanent Female
Q31_4$4
Number of Permanent Female
Q31_4$5
Number of Permanent Female
Q31_5$1
Annual Salary
Q31_5$2
Annual Salary
Q31_5$3
Annual Salary
Q31_5$4
Annual Salary
Q31_5$5
Annual Salary
Q31_6$1
Mandays of Male
Q31_6$2
Mandays of Male
Q31_6$3
Mandays of Male
Q31_6$4
Mandays of Male
Q31_6$5
Mandays of Male
Q31_7$1
Average wages/day of Male
Q31_7$2
Average wages/day of Male
Q31_7$3
Average wages/day of Male
Q31_7$4
Average wages/day of Male
Q31_7$5
Average wages/day of Male
Q31_8$1
Mandays of Female
Q31_8$2
Mandays of Female
Q31_8$3
Mandays of Female
Q31_8$4
Mandays of Female
Q31_8$5
Mandays of Female
Q31_9$1
Average wages/day of Female
Q31_9$2
Average wages/day of Female
Q31_9$3
Average wages/day of Female
Q31_9$4
Average wages/day of Female
Q31_9$5
Average wages/day of Female
Total: 46