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
amount spent in past 12 months (m12c_q03)
Data file: non_food_expenditures_c
Overview
Valid:
10147
Invalid:
54653
Type:
Discrete
Decimal:
0
Start:
39
End:
46
Width:
8
Range:
-
Format:
Questions and instructions
Categories
| Value | Category |
|---|---|
| 400 | |
| 500 | |
| 1000 | |
| 1200 | |
| 1400 | |
| 1500 | |
| 1800 | |
| 2000 | |
| 2300 | |
| 2400 | |
| 2500 | |
| 2700 | |
| 3000 | |
| 3200 | |
| 3500 | |
| 3600 | |
| 4000 | |
| 4500 | |
| 4700 | |
| 5000 | |
| 5500 | |
| 6000 | |
| 6400 | |
| 7000 | |
| 7100 | |
| 7500 | |
| 8000 | |
| 8500 | |
| 9000 | |
| 9800 | |
| 10000 | |
| 10100 | |
| 11000 | |
| 11800 | |
| 12000 | |
| 13000 | |
| 14000 | |
| 15000 | |
| 16000 | |
| 16500 | |
| 17000 | |
| 17500 | |
| 18000 | |
| 18400 | |
| 18500 | |
| 19000 | |
| 20000 | |
| 21000 | |
| 22000 | |
| 23000 | |
| 24000 | |
| 25000 | |
| 25500 | |
| 26000 | |
| 27000 | |
| 28000 | |
| 29000 | |
| 30000 | |
| 31000 | |
| 32000 | |
| 33000 | |
| 34000 | |
| 35000 | |
| 36000 | |
| 37000 | |
| 38000 | |
| 39000 | |
| 40000 | |
| 42000 | |
| 44000 | |
| 45000 | |
| 47000 | |
| 48000 | |
| 49000 | |
| 50000 | |
| 52000 | |
| 53000 | |
| 54000 | |
| 55000 | |
| 56000 | |
| 57000 | |
| 58000 | |
| 60000 | |
| 61000 | |
| 62000 | |
| 65000 | |
| 66000 | |
| 68000 | |
| 70000 | |
| 74000 | |
| 75000 | |
| 76000 | |
| 77000 | |
| 78000 | |
| 80000 | |
| 84000 | |
| 85000 | |
| 87000 | |
| 90000 | |
| 95000 | |
| 96000 | |
| 97000 | |
| 100000 | |
| 105000 | |
| 108000 | |
| 110000 | |
| 120000 | |
| 125000 | |
| 129000 | |
| 130000 | |
| 135000 | |
| 138000 | |
| 140000 | |
| 142000 | |
| 145000 | |
| 150000 | |
| 155000 | |
| 160000 | |
| 170000 | |
| 175000 | |
| 180000 | |
| 185000 | |
| 187500 | |
| 190000 | |
| 200000 | |
| 210000 | |
| 212000 | |
| 216000 | |
| 220000 | |
| 225000 | |
| 230000 | |
| 235000 | |
| 240000 | |
| 250000 | |
| 255000 | |
| 260000 | |
| 270000 | |
| 275000 | |
| 280000 | |
| 290000 | |
| 300000 | |
| 300003 | |
| 305000 | |
| 310000 | |
| 320000 | |
| 325000 | |
| 330000 | |
| 340000 | |
| 345000 | |
| 350000 | |
| 360000 | |
| 365000 | |
| 375000 | |
| 380000 | |
| 400000 | |
| 405000 | |
| 420000 | |
| 450000 | |
| 460000 | |
| 470000 | |
| 480000 | |
| 500000 | |
| 550000 | |
| 600000 | |
| 650000 | |
| 660000 | |
| 700000 | |
| 705000 | |
| 720000 | |
| 750000 | |
| 800000 | |
| 850000 | |
| 900000 | |
| 1000000 | |
| 1100000 | |
| 1200000 | |
| 1300000 | |
| 1350000 | |
| 1400000 | |
| 1500000 | |
| 1600000 | |
| 1700000 | |
| 1750000 | |
| 1800000 | |
| 1900000 | |
| 2000000 | |
| 2200000 | |
| 2300000 | |
| 2400000 | |
| 2500000 | |
| 3000000 | |
| 4000000 | |
| 4500000 | |
| 4800000 | |
| 5000000 | |
| 6000000 | |
| 7000000 | |
| 8000000 | |
| 10000000 | |
| 12000000 | |
| 15000000 | |
| 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.