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    Home / Central Data Catalog / LSO_2019_LARIE_V01_M / variable [F19]
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Impact Evaluation of the Lesotho Land Administration Reform 2019

Lesotho, 2013 - 2020
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Reference ID
LSO_2019_LARIE_v01_M
Producer(s)
Daniel Ali
Metadata
DDI/XML JSON
Created on
Mar 29, 2022
Last modified
Mar 29, 2022
Page views
38666
Downloads
47
  • Study Description
  • Data Dictionary
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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

Cleaning and maintenance products 601 Household articles like Bulbs, lamp, match (Q604)

Data file: section_q1_monthly_expenditures.dta

Overview

Valid: 1517
Invalid: 364
Minimum: -997
Maximum: 3500
Type: Discrete
Decimal: 0
Start: 167
End: 170
Width: 4
Range: -997 - 3500
Format: Numeric

Questions and instructions

Literal question
Section Q1: Monthly expenditures

Q604. Domestic services
Categories
Value Category Cases
-997 Don't know 11
0.7%
0 1244
82%
10 1
0.1%
12 1
0.1%
14 1
0.1%
15 1
0.1%
20 5
0.3%
25 1
0.1%
26 1
0.1%
27 1
0.1%
29 1
0.1%
30 3
0.2%
35 1
0.1%
40 3
0.2%
50 12
0.8%
55 1
0.1%
60 3
0.2%
65 2
0.1%
70 6
0.4%
75 1
0.1%
80 4
0.3%
90 1
0.1%
100 39
2.6%
120 4
0.3%
130 1
0.1%
150 13
0.9%
170 1
0.1%
200 9
0.6%
250 5
0.3%
300 12
0.8%
350 1
0.1%
400 9
0.6%
450 3
0.2%
480 1
0.1%
500 14
0.9%
550 1
0.1%
600 12
0.8%
650 1
0.1%
670 1
0.1%
700 9
0.6%
750 1
0.1%
800 27
1.8%
900 9
0.6%
1000 16
1.1%
1050 1
0.1%
1100 1
0.1%
1200 5
0.3%
1350 1
0.1%
1400 1
0.1%
1500 4
0.3%
1600 1
0.1%
1700 2
0.1%
1800 1
0.1%
2000 3
0.2%
2400 1
0.1%
2500 1
0.1%
3500 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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