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    Home / Central Data Catalog / LSO_2013-2019_MCC-SRLUPUA_V01_M / variable [F6]
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
19600
Downloads
434
  • 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

Repairs of Buildings: Cost of hired labor and materials - 1st parcel (K15)

Data file: parcel_raw_data_anonymized.dta

Overview

Valid: 200
Invalid: 2296
Minimum: 0
Maximum: 300000
Type: Discrete
Decimal: 0
Start: 331
End: 336
Width: 6
Range: 0 - 300000
Format: Numeric

Questions and instructions

Categories
Value Category Cases
0 1
0.5%
1 rontabole 0
0%
2 heisi 1
0.5%
3 polata 0
0%
4 malaene 0
0%
5 optaka 0
0%
6 apartment 0
0%
7 bungalow 0
0%
8 temporary 0
0%
9 other 0
0%
50 1
0.5%
70 1
0.5%
97 DO NOT KNOW 0
0%
99 missing 0
0%
100 2
1%
130 1
0.5%
150 5
2.5%
200 6
3%
220 1
0.5%
230 1
0.5%
250 1
0.5%
300 8
4%
350 1
0.5%
360 1
0.5%
400 3
1.5%
430 1
0.5%
500 7
3.5%
550 1
0.5%
600 5
2.5%
700 2
1%
800 6
3%
900 2
1%
1000 5
2.5%
1300 1
0.5%
1500 4
2%
1800 2
1%
2000 8
4%
2400 1
0.5%
2500 6
3%
2505 1
0.5%
2700 1
0.5%
3000 10
5%
3500 4
2%
3530 1
0.5%
3700 1
0.5%
4000 7
3.5%
4200 1
0.5%
4500 1
0.5%
4700 1
0.5%
5000 5
2.5%
6000 5
2.5%
7000 3
1.5%
7500 1
0.5%
8000 6
3%
10000 9
4.5%
12000 3
1.5%
13000 2
1%
14000 1
0.5%
15000 5
2.5%
16000 2
1%
17800 1
0.5%
18000 2
1%
20000 8
4%
25000 3
1.5%
30000 3
1.5%
35000 4
2%
40000 5
2.5%
45000 4
2%
49000 1
0.5%
50000 1
0.5%
60000 1
0.5%
70000 2
1%
80000 4
2%
100000 1
0.5%
150000 1
0.5%
170001 1
0.5%
300000 3
1.5%
Sysmiss 2296
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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