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    Home / Central Data Catalog / LSO_2019_LARIE_V01_M / variable [F20]
central

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
36319
Downloads
45
  • Study Description
  • Data Dictionary
  • Downloads
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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

Major surgery, hospitalization (Q1003)

Data file: section_q2_expenses_last_12_months.dta

Overview

Valid: 1518
Invalid: 363
Minimum: -997
Maximum: 751000
Type: Discrete
Decimal: 2
Start: 80
End: 88
Width: 9
Range: -997 - 751000
Format: Numeric

Questions and instructions

Literal question
Section Q2: Expenses in the last 12 months

Q1003. Major surgery, hospitalization
Categories
Value Category Cases
-997 Don't know 5
0.3%
0 1423
93.7%
1 1
0.1%
75 1
0.1%
80 1
0.1%
99 1
0.1%
100 3
0.2%
150 1
0.1%
160 1
0.1%
200 1
0.1%
217 1
0.1%
225 1
0.1%
230 2
0.1%
250 6
0.4%
260 1
0.1%
270 1
0.1%
300 6
0.4%
320 1
0.1%
350 1
0.1%
395 1
0.1%
400 2
0.1%
450 1
0.1%
500 5
0.3%
540 1
0.1%
600 2
0.1%
650 1
0.1%
700 1
0.1%
750 1
0.1%
780 1
0.1%
800 2
0.1%
846 1
0.1%
850 1
0.1%
900 2
0.1%
1000 5
0.3%
1100 1
0.1%
1488 1
0.1%
1500 4
0.3%
1570 1
0.1%
2000 3
0.2%
3000 4
0.3%
3800 1
0.1%
4000 2
0.1%
5000 1
0.1%
6000 2
0.1%
7000 1
0.1%
8000 3
0.2%
10000 4
0.3%
11000 1
0.1%
14000 1
0.1%
15000 1
0.1%
52000 1
0.1%
751000 1
0.1%
Sysmiss 363
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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