Living Standards Measurement Survey 2008
Albania, 2008
Get MicrodataCreated on
Feb 19, 2014
Last modified
Mar 29, 2019
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- Data files
- bookbread
- bookchecklist
- bookdaily
- bookfoodeaten
- bookmetadata
- booknonpurchased
- check_form_for_food_diary
- communication
- communication_mobile_phones
- consagg_2005
- dwella
- dwelling_a
- dwelling_b
- dwelling_c1
- dwelling_c2
- dwelling_c3
- edu
- educ
- education
- education_a
- education_b
- education_c
- education_d
- eduexpa
- fertility
- filters_and_single
- gall
- h1
- health
- health_a
- health_b
- health_c
- hh
- hhfem
- household_roster_a
- household_roster_b
- housing
- i1
- id
- id_of_agric_household
- id_of_agric_household_animals
- identification
- identification_agriculture
- identification_lsms_2008
- internet
- labor
- labour_a
- labour_b
- labour_c
- labour_d
- lsms08_foradept
- migration_a
- migration_b
- migration_b2
- migration_c
- migration_d
- migration_d2
- migration_e
- mobile
- non_farm_business
- non_farm_business_first
- non_food_expenditures_a
- non_food_expenditures_b
- non_food_expenditures_c
- nonfoodexpa
- nonfoodexpb
- nonfoodexpc
- other_income
- social_assistance
- social_capital
- subjective_poverty
- utilities
- weights
- weightsrev08
usual net payment (m4c_q14)
Data file: labour_c
Overview
Valid:
3511
Invalid:
1535
Type:
Discrete
Decimal:
0
Start:
113
End:
120
Width:
8
Range:
-
Format:
Questions and instructions
Categories
| Value | Category |
|---|---|
| 0 | |
| 1 | |
| 7 | |
| 35 | |
| 80 | |
| 150 | |
| 2000 | |
| 2500 | |
| 3000 | |
| 4000 | |
| 5000 | |
| 6000 | |
| 7000 | |
| 8000 | |
| 10000 | |
| 11000 | |
| 12000 | |
| 15000 | |
| 16000 | |
| 17000 | |
| 18000 | |
| 20000 | |
| 22000 | |
| 23000 | |
| 24000 | |
| 25000 | |
| 26000 | |
| 27000 | |
| 28000 | |
| 28500 | |
| 30000 | |
| 30500 | |
| 31000 | |
| 32000 | |
| 34000 | |
| 35000 | |
| 36000 | |
| 36600 | |
| 36700 | |
| 37000 | |
| 40000 | |
| 40100 | |
| 43000 | |
| 44000 | |
| 45000 | |
| 48000 | |
| 50000 | |
| 55000 | |
| 60000 | |
| 65000 | |
| 70000 | |
| 75000 | |
| 80000 | |
| 82000 | |
| 85000 | |
| 90000 | |
| 100000 | |
| 110000 | |
| 115000 | |
| 120000 | |
| 125000 | |
| 130000 | |
| 135000 | |
| 136000 | |
| 140000 | |
| 145000 | |
| 148000 | |
| 150000 | |
| 157000 | |
| 159000 | |
| 160000 | |
| 163000 | |
| 165000 | |
| 170000 | |
| 172000 | |
| 173000 | |
| 180000 | |
| 181000 | |
| 182000 | |
| 183000 | |
| 185000 | |
| 186000 | |
| 188000 | |
| 190000 | |
| 197000 | |
| 198000 | |
| 199000 | |
| 200000 | |
| 204000 | |
| 206000 | |
| 207000 | |
| 210000 | |
| 215000 | |
| 220000 | |
| 222000 | |
| 226000 | |
| 228000 | |
| 230000 | |
| 236000 | |
| 240000 | |
| 243000 | |
| 250000 | |
| 254000 | |
| 256000 | |
| 258000 | |
| 259000 | |
| 260000 | |
| 265000 | |
| 270000 | |
| 275000 | |
| 279000 | |
| 280000 | |
| 285000 | |
| 288000 | |
| 290000 | |
| 295000 | |
| 296000 | |
| 298000 | |
| 300000 | |
| 300001 | |
| 305000 | |
| 310000 | |
| 314000 | |
| 315000 | |
| 320000 | |
| 323000 | |
| 328000 | |
| 330000 | |
| 337000 | |
| 340000 | |
| 344200 | |
| 350000 | |
| 355000 | |
| 360000 | |
| 370000 | |
| 380000 | |
| 390000 | |
| 400000 | |
| 410000 | |
| 413000 | |
| 420000 | |
| 430000 | |
| 440000 | |
| 443000 | |
| 450000 | |
| 452000 | |
| 460000 | |
| 470000 | |
| 480000 | |
| 490000 | |
| 500000 | |
| 520000 | |
| 530000 | |
| 550000 | |
| 570000 | |
| 600000 | |
| 630000 | |
| 640000 | |
| 650000 | |
| 660000 | |
| 700000 | |
| 750000 | |
| 800000 | |
| 1000000 | |
| 1500000 | |
| 1600000 | |
| 1700000 | |
| 2000000 | |
| 2500000 | |
| 3000000 | |
| 99999997 | don't know |
| 99999998 | refuse to answer |
| Sysmiss |
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.