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    Home / Central Data Catalog / IMPACT_EVALUATION / LSO_2019_LARIE_V01_M / variable [F19]
impact_evaluation

Impact Evaluation of the Lesotho Land Administration Reform 2019

Lesotho, 2013 - 2020
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Reference ID
LSO_2019_LARIE_v01_M
DOI
https://doi.org/10.48529/r0we-vd56
Producer(s)
Daniel Ali
Collection(s)
Impact Evaluation Surveys
Metadata
Documentation in PDF DDI/XML JSON
Created on
Mar 29, 2022
Last modified
Mar 29, 2022
Page views
83480
Downloads
297
  • Study Description
  • Data Description
  • Documentation
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  • Data files
  • Section_B_Household_Members.dta
  • section_bb_land_ownership_by_women.dta
  • section_bn.dta
  • section_bz_decision_making.dta
  • section_c1_salaried_wage_employment.dta
  • section_c2_self_employment.dta
  • section_c3_transfers_remittances_pensions.dta
  • section_d4_parcels_housing_commercial_vacant.dta
  • section_e_characterics_of_parcels.dta
  • section_f_information_on_parcels.dta
  • section_g_land_conflicts.dta
  • section_h_rights_land_perception_risks.dta
  • section_j_parcels_rented_in.dta
  • Section_K_Investement.dta
  • Section_L_Credit.dta
  • section_n.dta
  • section_o_consumption.dta
  • section_p_ownership_of_assets.dta
  • section_q1_monthly_expenditures.dta
  • section_q2_expenses_last_12_months.dta
  • section_q3_sale_of_household_goods.dta
  • lesotho_land_panel_2019.dta

Clothing & clothing accesseries for men, women and children (excl. school u (Q101)

Data file: section_q1_monthly_expenditures.dta

Overview

Valid: 1517
Invalid: 364
Minimum: -997
Maximum: 6000
Type: Discrete
Decimal: 0
Start: 66
End: 69
Width: 4
Range: -997 - 6000
Format: Numeric

Questions and instructions

Literal question
Section Q1: Monthly expenditures

Q101. Clothing & clothing accesseries for men, women and children (excl. school uniform)
Categories
Value Category Cases
-997 Don't know 12
0.8%
0 1138
75%
1 2
0.1%
20 1
0.1%
30 2
0.1%
50 3
0.2%
60 3
0.2%
70 2
0.1%
90 1
0.1%
100 3
0.2%
120 5
0.3%
150 8
0.5%
200 17
1.1%
230 1
0.1%
250 17
1.1%
300 23
1.5%
350 11
0.7%
360 1
0.1%
400 17
1.1%
432 1
0.1%
450 2
0.1%
500 37
2.4%
535 1
0.1%
550 2
0.1%
570 1
0.1%
600 24
1.6%
610 1
0.1%
620 1
0.1%
650 2
0.1%
700 9
0.6%
710 1
0.1%
750 5
0.3%
800 17
1.1%
850 2
0.1%
900 2
0.1%
930 1
0.1%
1000 29
1.9%
1009 1
0.1%
1150 1
0.1%
1200 10
0.7%
1300 2
0.1%
1400 4
0.3%
1500 21
1.4%
1555 1
0.1%
1600 4
0.3%
1650 1
0.1%
1900 1
0.1%
2000 21
1.4%
2100 1
0.1%
2250 1
0.1%
2400 2
0.1%
2500 4
0.3%
2600 1
0.1%
3000 15
1%
4000 2
0.1%
4200 1
0.1%
4500 2
0.1%
5000 13
0.9%
5100 1
0.1%
5500 1
0.1%
6000 1
0.1%
Sysmiss 364
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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