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    Home / Central Data Catalog / LSO_2013-2019_MCC-SRLUPUA_V01_M / variable [F1]
central

Systematic Regularization of Land in Urban and Peri-Urban Areas 2013-2019, Independent Impact and Performance Evaluation

Lesotho, 2013 - 2019
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Reference ID
LSO_2013-2019_MCC-SRLUPUA_v01_M
Producer(s)
World Bank
Metadata
DDI/XML JSON
Created on
Jan 19, 2021
Last modified
Jan 12, 2022
Page views
23464
Downloads
484
  • Study Description
  • Data Dictionary
  • Downloads
  • Get Microdata
  • Data files
  • household_raw_data_anonymized.dta
  • individual_raw_data_anonymized.dta
  • module_b_parcel_raw_data_anonymized.dta
  • module_b_raw_data_anonymized.dta
  • parcel_j_raw_data_anonymized.dta
  • parcel_raw_data_anonymized.dta
  • section_c1_raw_data_anonymized.dta
  • section_c2_raw_data_anonymized.dta
  • section_c3_raw_data_anonymized.dta

How much could you sell ALL these items : Refridgerator (P2_131_02)

Data file: household_raw_data_anonymized.dta

Overview

Valid: 1207
Invalid: 697
Minimum: -997
Maximum: 13000
Type: Discrete
Decimal: 0
Start: 978
End: 982
Width: 5
Range: -997 - 13000
Format: Numeric

Questions and instructions

Categories
Value Category Cases
-999 1 0
0%
-997 2 299
24.8%
0 3 1
0.1%
1 1
0.1%
2 1
0.1%
3 1
0.1%
6 1
0.1%
20 1
0.1%
36 1
0.1%
100 4
0.3%
150 2
0.2%
180 1
0.1%
190 1
0.1%
200 5
0.4%
250 1
0.1%
300 5
0.4%
350 1
0.1%
400 5
0.4%
450 2
0.2%
500 21
1.7%
600 9
0.7%
700 11
0.9%
750 1
0.1%
800 17
1.4%
850 1
0.1%
900 12
1%
950 1
0.1%
1000 64
5.3%
1100 1
0.1%
1200 45
3.7%
1250 1
0.1%
1300 6
0.5%
1400 5
0.4%
1500 80
6.6%
1600 7
0.6%
1700 10
0.8%
1800 28
2.3%
1900 5
0.4%
1950 1
0.1%
2000 103
8.5%
2100 3
0.2%
2200 5
0.4%
2300 8
0.7%
2400 2
0.2%
2500 45
3.7%
2600 2
0.2%
2700 5
0.4%
2800 5
0.4%
2900 3
0.2%
3000 89
7.4%
3200 7
0.6%
3300 1
0.1%
3400 5
0.4%
3500 32
2.7%
3600 1
0.1%
3800 5
0.4%
3999 1
0.1%
4000 56
4.6%
4200 6
0.5%
4300 2
0.2%
4500 22
1.8%
4600 1
0.1%
4700 1
0.1%
4800 5
0.4%
4900 1
0.1%
4950 1
0.1%
4990 1
0.1%
5000 33
2.7%
5200 2
0.2%
5400 1
0.1%
5500 2
0.2%
5600 1
0.1%
6000 20
1.7%
6500 1
0.1%
6800 1
0.1%
7000 20
1.7%
7500 3
0.2%
8000 14
1.2%
8950 1
0.1%
9000 7
0.6%
10000 5
0.4%
10400 1
0.1%
11000 1
0.1%
12000 4
0.3%
13000 13
1.1%
99998 4 0
0%
Sysmiss 697
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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