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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
23536
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

Last Month : Amount spennt on dwelling insurance, Health insurance (Q_906)

Data file: household_raw_data_anonymized.dta

Overview

Valid: 1736
Invalid: 168
Minimum: -997
Maximum: 1750
Type: Discrete
Decimal: 0
Start: 1448
End: 1453
Width: 6
Range: -997 - 1750
Format: Numeric

Questions and instructions

Categories
Value Category Cases
-999 1 0
0%
-997 2 35
2%
0 3 1475
85%
2 2
0.1%
8 1
0.1%
15 2
0.1%
20 3
0.2%
25 1
0.1%
30 2
0.1%
35 3
0.2%
40 1
0.1%
50 8
0.5%
52 1
0.1%
55 1
0.1%
60 1
0.1%
65 1
0.1%
70 1
0.1%
75 2
0.1%
76 1
0.1%
80 2
0.1%
82 1
0.1%
90 2
0.1%
95 1
0.1%
100 9
0.5%
102 1
0.1%
109 1
0.1%
115 1
0.1%
120 3
0.2%
126 1
0.1%
130 4
0.2%
140 2
0.1%
142 1
0.1%
148 1
0.1%
150 14
0.8%
160 2
0.1%
170 2
0.1%
180 1
0.1%
195 1
0.1%
200 15
0.9%
214 1
0.1%
216 1
0.1%
218 1
0.1%
231 1
0.1%
232 1
0.1%
250 8
0.5%
275 1
0.1%
280 2
0.1%
300 10
0.6%
303 1
0.1%
329 1
0.1%
330 2
0.1%
340 1
0.1%
350 5
0.3%
373 1
0.1%
380 1
0.1%
396 2
0.1%
400 6
0.3%
403 1
0.1%
406 1
0.1%
425 2
0.1%
429 1
0.1%
432 1
0.1%
440 1
0.1%
475 1
0.1%
480 3
0.2%
484 1
0.1%
484.75 1
0.1%
500 8
0.5%
520 1
0.1%
526 1
0.1%
581 1
0.1%
600 7
0.4%
622 1
0.1%
650 1
0.1%
670 1
0.1%
700 7
0.4%
775 1
0.1%
800 2
0.1%
850 2
0.1%
900 1
0.1%
948 1
0.1%
1000 3
0.2%
1100 2
0.1%
1200 2
0.1%
1293 1
0.1%
1300 2
0.1%
1400 1
0.1%
1500 5
0.3%
1600 2
0.1%
1750 18
1%
99999 4 0
0%
Sysmiss 168
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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