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    Home / Central Data Catalog / LSMS / KSV_2000_LSMS_V01_M / variable [F17]
lsms

Living Standards Measurement Survey 2000

Kosovo, 2000
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Reference ID
KSV_2000_LSMS_v01_M
DOI
https://doi.org/10.48529/215m-9g90
Producer(s)
The World Bank
Collection(s)
Living Standards Measurement Study (LSMS) Fragility, Conflict and Violence
Metadata
DDI/XML JSON
Created on
Mar 23, 2011
Last modified
Jan 30, 2020
Page views
237089
Downloads
15522
  • Study Description
  • Data Description
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  • Data files
  • OPLAND
  • LIVESTK
  • INVENTRY
  • LANDRENT
  • SEEDS
  • FERT
  • MANURE
  • PEST
  • AGRILAB
  • MACH
  • SEEDLING
  • CROP
  • FEED
  • DAILYEXP
  • DURGOODS
  • FOOD
  • NONFOOD
  • REMIT
  • STOR_FOOD
  • MISC_A
  • MISC_B
  • MISC_C
  • DWELLING
  • AMENITIES
  • EDUC
  • HEALTH
  • ID
  • LABOR
  • NONFARM
  • BUSINESS
  • POP
  • NETWORKS
  • CONSVARS
  • R_AGRICULTURE_2
  • R_AGRICULTURE_1
  • R_HEALTH_FACILITIES_1
  • R_GENERAL_INFORMATION
  • R_ECONOMY_2
  • R_ECONOMY_1
  • R_BASIC_COMMUNITY_CHARACTERISTICS
  • R_AGRICULTURE_3
  • R_INSTITUTIONS_AND_INFRASTRUCTURE_2
  • R_INSTITUTIONS_AND_INFRASTRUCTURE_1
  • R_INDUSTRY_2
  • R_INDUSTRY_1
  • R_HEALTH_FACILITIES_2
  • U_AGRICULTURE_1
  • R_SCHOOL_FACILITIES
  • R_RESPONDENT_CHARACTERISTICS
  • R_ORGANIZATION_AND_DISPLACEMENT
  • R_INSTITUTIONS_AND_INFRASTRUCTURE_4
  • R_INSTITUTIONS_AND_INFRASTRUCTURE_3
  • U_ECONOMY_2
  • U_ECONOMY_1
  • U_BASIC_COMMUNITY_CHARACTERISTICS
  • U_AGRICULTURE_3
  • U_AGRICULTURE_2
  • U_INDUSTRY_2
  • U_INDUSTRY_1
  • U_HEALTH_FACILITIES_2
  • U_HEALTH_FACILITIES_1
  • U_GENERAL_INFORMATION
  • U_RESPONDENT_CHARACTERISTICS
  • U_ORGANIZATION_AND_DISPLACEMENT
  • U_INSTITUTIONS_AND_INFRASTRUCTURE_4
  • U_INSTITUTIONS_AND_INFRASTRUCTURE_3
  • U_INSTITUTIONS_AND_INFRASTRUCTURE_2
  • U_INSTITUTIONS_AND_INFRASTRUCTURE_1
  • U_SCHOOL_FACILITIES
  • Serb_BASIC_COMMUNITY_CHARACTERISTICS
  • Serb_AGRICULTURE_3
  • serb_AGRICULTURE_2
  • Serb_AGRICULTURE_1
  • Serb_INDUSTRY_1
  • Serb_HEALTH_FACILITIES_2
  • Serb_HEALTH_FACILITIES_1
  • Serb_GENERAL_INFORMATION
  • Serb_ECONOMY_1
  • Serb_ECONOMY_2
  • Serb_INSTITUTIONS_AND_INFRASTRUCTURE_4
  • Serb_INSTITUTIONS_AND_INFRASTRUCTURE_3
  • Serb_INSTITUTIONS_AND_INFRASTRUCTURE_2
  • Serb_INSTITUTIONS_AND_INFRASTRUCTURE_1
  • Serb_INDUSTRY_2
  • Serb_SCHOOL_FACILITIES
  • Serb_RESPONDENT_CHARACTERISTICS
  • Serb_ORGANIZATION_AND_DISPLACEMENT

item label (s10c_q01)

Data file: NONFOOD

Overview

Valid: 36541
Invalid: 0
Type: Discrete
Start: 3
End: 32
Width: 30
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
"Books, stationery (excluding 637
1.7%
"Charity, donations, contribut 90
0.2%
"Cloth and sewing supplies, Ta 222
0.6%
"Dishes (crockery, cutlery, et 1301
3.6%
"Electrical items (light bulbs 1985
5.4%
"Entertainment (cinema, etc.) 192
0.5%
"Excursion, holiday (including 306
0.8%
"Household linens (sheets. bla 1167
3.2%
"Insurance (auto, property)" 740
2%
"Kitchen supplies (napkins, et 1425
3.9%
"Marriages, births, and other 549
1.5%
"Postal expenses, telegrams," 606
1.7%
"Small electrical items (radio 435
1.2%
"Small kitchen appliances (ble 259
0.7%
"Sports and hobby equipment, t 85
0.2%
"Vehicle repair, maintenance, 545
1.5%
Charcoal 152
0.4%
Children's clothing and footwe 1808
4.9%
Cooking gas 1045
2.9%
Customs tax 482
1.3%
Electricity 1642
4.5%
Excise tax 15
0%
Firewood 2237
6.1%
Funeral expenses 207
0.6%
Gambling and cash losses 4
0%
Home improvements and addition 291
0.8%
Household cleaning and toilet 2573
7%
Household tools 313
0.9%
Laundry and dry cleaning 37
0.1%
Legal or notary services 33
0.1%
Marriages gifts (dowries) 323
0.9%
Men's clothing and footwear 2117
5.8%
Other fuels 1043
2.9%
Over the counter remedies and 1543
4.2%
Personal care items and cosmet 2811
7.7%
Personal services (haircuts, s 2241
6.1%
Prescription medicines and hea 1617
4.4%
Rent 59
0.2%
Repair and maintenance of hous 398
1.1%
Repair and regular maintenance 521
1.4%
Toys and musical instruments 104
0.3%
Women's clothing and footwear 2381
6.5%
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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