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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
36198
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

Restaurants, Clubs (meals eaten outside home) 501 Hotel accomodation (holidays) (Q501)

Data file: section_q1_monthly_expenditures.dta

Overview

Valid: 1517
Invalid: 364
Minimum: -997
Maximum: 5000
Type: Discrete
Decimal: 0
Start: 146
End: 149
Width: 4
Range: -997 - 5000
Format: Numeric

Questions and instructions

Literal question
Section Q1: Monthly expenditures

Q501. Restaurants, Clubs (meals eaten outside home)
Categories
Value Category Cases
-997 Don't know 3
0.2%
0 1326
87.4%
8 1
0.1%
20 3
0.2%
25 5
0.3%
27 1
0.1%
28 1
0.1%
30 4
0.3%
35 5
0.3%
40 3
0.2%
45 1
0.1%
50 11
0.7%
55 1
0.1%
60 4
0.3%
65 6
0.4%
70 3
0.2%
75 1
0.1%
80 3
0.2%
100 12
0.8%
120 5
0.3%
125 2
0.1%
150 11
0.7%
160 1
0.1%
170 2
0.1%
180 1
0.1%
200 22
1.5%
227 1
0.1%
250 7
0.5%
260 2
0.1%
300 14
0.9%
350 10
0.7%
400 11
0.7%
500 8
0.5%
600 6
0.4%
700 3
0.2%
800 4
0.3%
900 1
0.1%
1000 6
0.4%
1200 1
0.1%
1500 1
0.1%
2000 2
0.1%
4500 1
0.1%
5000 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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