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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
36333
Downloads
45
  • 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 (Q601)

Data file: section_q1_monthly_expenditures.dta

Overview

Valid: 1517
Invalid: 364
Minimum: -997
Maximum: 2500
Type: Discrete
Decimal: 0
Start: 155
End: 158
Width: 4
Range: -997 - 2500
Format: Numeric

Questions and instructions

Literal question
Section Q1: Monthly expenditures

Q601. Cleaning and maintenance products
Categories
Value Category Cases
-997 Don't know 3
0.2%
0 930
61.3%
5 1
0.1%
10 12
0.8%
12 1
0.1%
13 2
0.1%
14 2
0.1%
15 12
0.8%
17 1
0.1%
18 2
0.1%
20 42
2.8%
22 1
0.1%
25 14
0.9%
30 38
2.5%
32 2
0.1%
35 4
0.3%
36 1
0.1%
37 1
0.1%
40 23
1.5%
45 1
0.1%
50 90
5.9%
54 1
0.1%
55 3
0.2%
58 2
0.1%
60 36
2.4%
65 3
0.2%
67 1
0.1%
70 19
1.3%
75 7
0.5%
80 20
1.3%
85 2
0.1%
90 8
0.5%
100 86
5.7%
120 15
1%
140 3
0.2%
150 51
3.4%
160 4
0.3%
170 4
0.3%
180 2
0.1%
200 31
2%
230 1
0.1%
250 11
0.7%
300 12
0.8%
350 3
0.2%
400 2
0.1%
420 1
0.1%
500 3
0.2%
800 1
0.1%
1000 1
0.1%
2500 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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