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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
38664
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

Groceries (food items purchased for cooking & home consumption) (Q100)

Data file: section_q1_monthly_expenditures.dta

Overview

Valid: 1517
Invalid: 364
Minimum: -997
Maximum: 6000
Type: Discrete
Decimal: 0
Start: 62
End: 65
Width: 4
Range: -997 - 6000
Format: Numeric

Questions and instructions

Literal question
Section Q1: Monthly expenditures

Q100. Groceries (food items purchased for cooking & home consumption)
Categories
Value Category Cases
-997 Don't Know 6
0.4%
0 8
0.5%
100 4
0.3%
120 3
0.2%
130 1
0.1%
150 6
0.4%
180 1
0.1%
200 30
2%
230 1
0.1%
250 7
0.5%
300 68
4.5%
350 12
0.8%
355 1
0.1%
400 58
3.8%
406 1
0.1%
450 6
0.4%
500 184
12.1%
550 1
0.1%
600 84
5.5%
650 2
0.1%
687 1
0.1%
700 60
4%
750 10
0.7%
770 1
0.1%
800 102
6.7%
850 4
0.3%
860 1
0.1%
900 25
1.6%
950 3
0.2%
1000 187
12.3%
1100 4
0.3%
1200 72
4.7%
1300 25
1.6%
1400 7
0.5%
1450 1
0.1%
1500 151
10%
1600 12
0.8%
1700 7
0.5%
1775 1
0.1%
1800 18
1.2%
1900 3
0.2%
2000 149
9.8%
2100 1
0.1%
2200 6
0.4%
2300 6
0.4%
2400 4
0.3%
2500 64
4.2%
2800 3
0.2%
3000 59
3.9%
3100 1
0.1%
3200 1
0.1%
3400 1
0.1%
3500 14
0.9%
3600 1
0.1%
3800 1
0.1%
4000 16
1.1%
4500 2
0.1%
5000 5
0.3%
6000 4
0.3%
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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