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    Home / Central Data Catalog / LSO_2013-2019_MCC-SRLUPUA_V01_M / variable [F8]
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
19555
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

How much did you usually get during the higher revenue months? - Revenue (C208A)

Data file: section_c2_raw_data_anonymized.dta

Overview

Valid: 276
Invalid: 332
Minimum: 0
Maximum: 60000
Type: Discrete
Decimal: 0
Start: 29
End: 33
Width: 5
Range: 0 - 60000
Format: Numeric

Questions and instructions

Categories
Value Category Cases
-999 missing 0
0%
-997 DO NOT KNOW 0
0%
0 5
1.8%
8 2
0.7%
27 1
0.4%
50 5
1.8%
80 2
0.7%
100 3
1.1%
130 1
0.4%
150 1
0.4%
180 1
0.4%
200 7
2.5%
240 1
0.4%
250 2
0.7%
300 13
4.7%
350 2
0.7%
400 2
0.7%
500 13
4.7%
600 6
2.2%
650 1
0.4%
700 2
0.7%
750 1
0.4%
800 4
1.4%
900 6
2.2%
1000 17
6.2%
1050 1
0.4%
1150 1
0.4%
1200 6
2.2%
1300 2
0.7%
1400 1
0.4%
1500 11
4%
1800 3
1.1%
2000 17
6.2%
2500 7
2.5%
2700 1
0.4%
2800 4
1.4%
3000 22
8%
3200 1
0.4%
3500 2
0.7%
4000 12
4.3%
4150 1
0.4%
4200 1
0.4%
4500 2
0.7%
5000 11
4%
5100 1
0.4%
5500 1
0.4%
6000 15
5.4%
6050 1
0.4%
6500 1
0.4%
7000 6
2.2%
7500 3
1.1%
8000 8
2.9%
8500 1
0.4%
8640 1
0.4%
9000 2
0.7%
10000 6
2.2%
12000 1
0.4%
13600 1
0.4%
15000 5
1.8%
16000 1
0.4%
20000 1
0.4%
21000 1
0.4%
25000 1
0.4%
30000 5
1.8%
35000 1
0.4%
40000 3
1.1%
45000 1
0.4%
50000 2
0.7%
60000 3
1.1%
Sysmiss 332
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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