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    Home / Central Data Catalog / LSMS / ALB_2012_LSMS_V01_M_V01_A_PUF / variable [F10]
lsms

Living Standards Measurement Survey 2012

Albania, 2012
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Reference ID
ALB_2012_LSMS_v01_M_v01_A_PUF
Producer(s)
Institute of Statistics of Albania
Collection(s)
Living Standards Measurement Study (LSMS)
Metadata
Documentation in PDF DDI/XML JSON
Created on
Mar 13, 2014
Last modified
Apr 06, 2022
Page views
350685
Downloads
95366
  • Study Description
  • Data Description
  • Documentation
  • Get Microdata
  • Data files
  • Modul_1A_householdroster
  • Modul_1B_householdroster
  • Modul_2A_education
  • Modul_2B_education
  • Modul_2C_education
  • Modul_3_Communication_Mobile_Phones_1
  • Modul_3_internet
  • Modul_4A_labor
  • Modul_4B_labor
  • Modul_5_Non-Farm_Enterprises
  • Modul_6A_Internal_Migration_of_household_Members
  • Modul_6B_International_Migration_of_household_Members
  • Modul_6C_Sons_and_Doughter_living_away
  • Modul_6D_Shocks
    to the
    household
  • Modul_7_Subjective_Poverty
  • modul_9A_health
  • Modul_9B_Access_to_Health_Care
  • Modul_10_Fertility
  • Modul_12A_Purchases_past30_days
  • Modul_12B_Purchases_past6_months
  • Modul_12C_Purchases_past12_months
  • Modul_13A_Description_of_Dwelling
  • Modul_13B_Utilities
  • Modul_13C1_Household_Durables
  • Modul_13C2_Household_Durables
  • Modul_14_Social_Protection
  • Modul_15_Other_Income
  • Modul_16A_Social_Participation
  • Modul_16B_Social_Capital
  • Modul_17_Identification_of_Agriculture_Hh_Q1-2
  • Modul_17_Identification_of_Agriculture_Hh_Q3-9
  • Modul_17_Identification_of_Agriculture_Hh_Q10-11
  • poverty
  • Weight_lsms2012_retro

Reason for not in operation (M5_Q19)

Data file: Modul_5_Non-Farm_Enterprises

Overview

Valid: 75
Invalid: 6605
Minimum: 1
Maximum: 7
Type: Discrete
Decimal: 0
Start: 72
End: 72
Width: 1
Range: 1 - 7
Format: Numeric

Questions and instructions

Categories
Value Category Cases
1 Lack of materials or spare parts 4
5.3%
2 Energy disruption 1
1.3%
3 Seasonal business 47
62.7%
4 Earned too little 11
14.7%
5 Illness 1
1.3%
6 Bad weather 4
5.3%
7 Other 7
9.3%
Sysmiss 6605
Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.
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