Living Standards Measurement Survey 2000
Kosovo, 2000
Get Microdata
Reference ID
WBG_KSV_2000_LSMS_v01_M
Producer(s)
The World Bank
Collections
Metadata
Created on
May 19, 2021
Last modified
May 19, 2021
Page views
67356
Downloads
1575
- 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
group item (r3q41i_3)
Data file: MISC_B
Overview
Valid:
781
Invalid:
0
Type:
Discrete
Start:
225
End:
257
Width:
33
Range:
-
Format:
character
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 2 | 1 |
0.1%
|
|
| Winter clothes | 4 |
0.5%
|
|
| Winter clothes 1 01121999 | 1 |
0.1%
|
|
| Winter clothes 1 101082000 | 1 |
0.1%
|
|
| Winter clothes 1 101101999 | 4 |
0.5%
|
|
| Winter clothes 1 101111999 | 1 |
0.1%
|
|
| Winter clothes 1 101121999 | 1 |
0.1%
|
|
| Winter clothes 1 151111999 | 2 |
0.3%
|
|
| Winter clothes 1 201012000 | 1 |
0.1%
|
|
| Winter clothes 1 201031999 | 1 |
0.1%
|
|
| Winter clothes 1 201032000 | 1 |
0.1%
|
|
| Winter clothes 1 201101999 | 3 |
0.4%
|
|
| Winter clothes 1 201111999 | 2 |
0.3%
|
|
| Winter clothes 1 201121999 | 2 |
0.3%
|
|
| Winter clothes 1 301012000 | 1 |
0.1%
|
|
| Winter clothes 1 301101999 | 3 |
0.4%
|
|
| Winter clothes 1 301111999 | 3 |
0.4%
|
|
| Winter clothes 1 301121999 | 4 |
0.5%
|
|
| Winter clothes 1 351111999 | 1 |
0.1%
|
|
| Winter clothes 1 351121999 | 1 |
0.1%
|
|
| Winter clothes 1 401012000 | 1 |
0.1%
|
|
| Winter clothes 1 401092000 | 1 |
0.1%
|
|
| Winter clothes 1 401101999 | 3 |
0.4%
|
|
| Winter clothes 1 401111999 | 4 |
0.5%
|
|
| Winter clothes 1 401121999 | 1 |
0.1%
|
|
| Winter clothes 1 407062000 | 1 |
0.1%
|
|
| Winter clothes 1 481111999 | 1 |
0.1%
|
|
| Winter clothes 1 501012000 | 2 |
0.3%
|
|
| Winter clothes 1 501082000 | 1 |
0.1%
|
|
| Winter clothes 1 501091999 | 3 |
0.4%
|
|
| Winter clothes 1 501092000 | 1 |
0.1%
|
|
| Winter clothes 1 501101999 | 12 |
1.5%
|
|
| Winter clothes 1 501111999 | 9 |
1.2%
|
|
| Winter clothes 1 501112000 | 1 |
0.1%
|
|
| Winter clothes 1 501121999 | 9 |
1.2%
|
|
| Winter clothes 1 551012000 | 1 |
0.1%
|
|
| Winter clothes 1 601022000 | 1 |
0.1%
|
|
| Winter clothes 1 601032000 | 1 |
0.1%
|
|
| Winter clothes 1 601081999 | 1 |
0.1%
|
|
| Winter clothes 1 601091999 | 1 |
0.1%
|
|
| Winter clothes 1 601092000 | 2 |
0.3%
|
|
| Winter clothes 1 601101999 | 2 |
0.3%
|
|
| Winter clothes 1 601111999 | 1 |
0.1%
|
|
| Winter clothes 1 601121999 | 3 |
0.4%
|
|
| Winter clothes 1 701012000 | 1 |
0.1%
|
|
| Winter clothes 1 701022000 | 2 |
0.3%
|
|
| Winter clothes 1 701052000 | 1 |
0.1%
|
|
| Winter clothes 1 701101999 | 1 |
0.1%
|
|
| Winter clothes 1 701112000 | 1 |
0.1%
|
|
| Winter clothes 1 721022000 | 1 |
0.1%
|
|
| Winter clothes 1 851121999 | 1 |
0.1%
|
|
| Winter clothes 1 901022000 | 1 |
0.1%
|
|
| Winter clothes 1 901111999 | 1 |
0.1%
|
|
| Winter clothes 1 1001012000 | 3 |
0.4%
|
|
| Winter clothes 1 1001022000 | 2 |
0.3%
|
|
| Winter clothes 1 1001042000 | 1 |
0.1%
|
|
| Winter clothes 1 1001082000 | 3 |
0.4%
|
|
| Winter clothes 1 1001091999 | 1 |
0.1%
|
|
| Winter clothes 1 1001092000 | 4 |
0.5%
|
|
| Winter clothes 1 1001101998 | 1 |
0.1%
|
|
| Winter clothes 1 1001101999 | 4 |
0.5%
|
|
| Winter clothes 1 1001111999 | 13 |
1.7%
|
|
| Winter clothes 1 1001112000 | 1 |
0.1%
|
|
| Winter clothes 1 1001121999 | 7 |
0.9%
|
|
| Winter clothes 1 1007111999 | 1 |
0.1%
|
|
| Winter clothes 1 1201111999 | 1 |
0.1%
|
|
| Winter clothes 1 1201121999 | 1 |
0.1%
|
|
| Winter clothes 1 1501101999 | 2 |
0.3%
|
|
| Winter clothes 1 1501111999 | 1 |
0.1%
|
|
| Winter clothes 1 1501121999 | 3 |
0.4%
|
|
| Winter clothes 1 1601111999 | 1 |
0.1%
|
|
| Winter clothes 1 2001022000 | 1 |
0.1%
|
|
| Winter clothes 1 2001032000 | 1 |
0.1%
|
|
| Winter clothes 1 2001052000 | 1 |
0.1%
|
|
| Winter clothes 1 2001081999 | 1 |
0.1%
|
|
| Winter clothes 1 2001101999 | 2 |
0.3%
|
|
| Winter clothes 1 2001102000 | 2 |
0.3%
|
|
| Winter clothes 1 2001111999 | 3 |
0.4%
|
|
| Winter clothes 1 2001121999 | 1 |
0.1%
|
|
| Winter clothes 1 2002121999 | 1 |
0.1%
|
|
| Winter clothes 1 2007121999 | 1 |
0.1%
|
|
| Winter clothes 1 2501121999 | 1 |
0.1%
|
|
| Winter clothes 1 2601112000 | 1 |
0.1%
|
|
| Winter clothes 1 3001121999 | 1 |
0.1%
|
|
| Winter clothes 1 3003082000 | 1 |
0.1%
|
|
| Winter clothes 1 3007111999 | 1 |
0.1%
|
|
| Winter clothes 1 4001102000 | 1 |
0.1%
|
|
| Winter clothes 1 6007052000 | 1 |
0.1%
|
|
| Winter clothes 2 | 599 |
76.7%
|
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.