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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
79868
Downloads
287
  • 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

Fuels (petrol, gas) and lubricants (Q403)

Data file: section_q1_monthly_expenditures.dta

Overview

Valid: 1517
Invalid: 364
Minimum: -997
Maximum: 30000
Type: Discrete
Decimal: 0
Start: 137
End: 141
Width: 5
Range: -997 - 30000
Format: Numeric

Questions and instructions

Literal question
Section Q1: Monthly expenditures

Q403. Fuels (petrol, gas) and lubricants
Categories
Value Category Cases
-997 Don't know 9
0.6%
0 878
57.9%
8 1
0.1%
20 1
0.1%
50 2
0.1%
80 2
0.1%
100 11
0.7%
150 3
0.2%
170 11
0.7%
172 1
0.1%
180 5
0.3%
182 1
0.1%
185 2
0.1%
190 9
0.6%
192 1
0.1%
195 5
0.3%
200 18
1.2%
205 2
0.1%
210 3
0.2%
220 1
0.1%
230 1
0.1%
250 7
0.5%
270 2
0.1%
280 2
0.1%
300 37
2.4%
325 1
0.1%
350 4
0.3%
400 33
2.2%
430 1
0.1%
450 11
0.7%
460 1
0.1%
470 1
0.1%
500 61
4%
540 1
0.1%
580 1
0.1%
600 52
3.4%
620 1
0.1%
640 1
0.1%
650 3
0.2%
700 11
0.7%
750 9
0.6%
800 36
2.4%
850 2
0.1%
900 8
0.5%
950 1
0.1%
1000 52
3.4%
1150 1
0.1%
1200 31
2%
1300 12
0.8%
1400 3
0.2%
1500 35
2.3%
1600 5
0.3%
1800 7
0.5%
1860 1
0.1%
2000 38
2.5%
2100 1
0.1%
2200 2
0.1%
2300 1
0.1%
2400 1
0.1%
2500 13
0.9%
2600 2
0.1%
2800 1
0.1%
2950 1
0.1%
3000 17
1.1%
3100 2
0.1%
3500 8
0.5%
3700 1
0.1%
3800 1
0.1%
4000 4
0.3%
4500 5
0.3%
4800 1
0.1%
5000 5
0.3%
6000 2
0.1%
7000 1
0.1%
7500 1
0.1%
9600 2
0.1%
10000 2
0.1%
12000 1
0.1%
15000 2
0.1%
30000 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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