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    Home / Central Data Catalog / UGA_2023_ILGUIE-EL_V01_M / variable [F28]
central

Impact evaluation of the Improvement of Land Governance in Uganda to Increase Productivity of Small-Scale Farmers on Mailo-Land 2023
Endline

Uganda, 2023
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Reference ID
UGA_2023_ILGUIE-EL_v01_M
Producer(s)
Heather Huntington, Thea Hilhorst, Kate Marple-Cantrell, Klaus Deininger, Daniel Ayalew Ali
Metadata
DDI/XML JSON
Created on
Apr 30, 2025
Last modified
Apr 30, 2025
Page views
9456
Downloads
10
  • Study Description
  • Data Dictionary
  • Downloads
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  • Data files
  • a_baseline_household_identification.dta
  • b_endline_questions_household_roster.dta
  • b_household_roster_household.dta
  • b_panel_questions_household_roster.dta
  • c_wage_employment_and_non_market_labor_activities.dta
  • d_housing_conditions_water_sanitation.dta
  • e_income_finance_savings_credit_borrowing_banking.dta
  • f_household.dta
  • f_active_parcels_parcel_management_use.dta
  • f_new_parcel_management_use.dta
  • f_panel_parcels_parcel_management_use.dta
  • f_panel_parcels_parcel_management_use_old.dta
  • g_tenure_and_documentation.dta
  • h_parcel_level_conflict_and_perception_of_tenure_security.dta
  • h_conflict_level_conflict_and_perception_of_tenure_security.dta
  • i_parcel_level_plot_management.dta
  • i_labor_level_plot_management.dta
  • j_parcel_crops.dta
  • j_crop_crops.dta
  • k_certificate_of_occupancy_interest_value.dta
  • l_purchase_land.dta
  • m_gender_awareness_and_legal_knowledge.dta
  • n_hh_credit.dta
  • n_loans_credit.dta
  • o_hh_non_crop_farming_household_enterprises_activities.dta
  • o_enterprise_non_crop_farming_household_enterprises_activities.dta
  • p_household_shocks_and_coping_strategies.dta
  • p_shocks_shocks_and_coping_strategies.dta
  • q_welfare_and_food_security.dta
  • r_engagement_decision_making_bargaining_and_social_capital.dta
  • r_female_association_and_meetings_decision_making_bargaining_and_social_capital.dta
  • r_female_office_decision_making_bargaining_and_social_capital.dta
  • r_female_wives_expenditure_decision_making_bargaining_and_social_capital.dta
  • r_female_expenditure_decision_making_bargaining_and_social_capital.dta
  • r_male_association_and_meetings_decision_making_bargaining_and_social_capital.dta
  • r_male_expenditure_decision_making_bargaining_and_social_capital.dta
  • r_male_office_decision_making_bargaining_and_social_capital.dta
  • r_wives_association_and_meetings_decision_making_bargaining_and_social_capital.dta
  • r_wives_office_decision_making_bargaining_and_social_capital.dta
  • r_hh_decision_making_bargaining_and_social_capital.dta
  • s_household_assets.dta.dta
  • t_animal_assets.dta
  • t_animal_assets_exotic.dta
  • t_animal_assets_ind.dta
  • t_animal_assets_ex_small.dta
  • t_animal_assets_ind_small.dta
  • t_animal_assets_rabbit.dta
  • u_livelihood_and_assets.dta

P20. During the past 12 months, what shock did you experience? (s11q1)

Data file: p_shocks_shocks_and_coping_strategies.dta

Overview

Valid: 2612
Invalid: -
Minimum: 1
Maximum: 20
Type: Discrete
Decimal: 0
Start: 50
End: 51
Width: 2
Range: 1 - 20
Format: Numeric

Questions and instructions

Categories
Value Category Cases
1 Drought 1018
39%
2 Irregular Rains 334
12.8%
3 Floods 47
1.8%
4 Landslides 5
0.2%
5 Erosion 53
2%
6 Unusually High Level of Crop Pests & Disease 234
9%
7 Unusually High Level of Livestock Disease 146
5.6%
8 Unusually High Costs of Agricultural Inputs 249
9.5%
9 Unusually Low Prices for Agricultural Output 172
6.6%
10 Reduction in the Earnings of Currently (Off-Farm) Employed Household Member(s) 28
1.1%
11 Loss of Employment of Previously Employed Household Member(s) (Not Due to Illness or Accident) 14
0.5%
12 Serious Illness or Accident of Income Earner(s) 48
1.8%
13 Serious Illness or Accident of Other Household Member(s) 41
1.6%
14 Death of Income Earner(s) 27
1%
15 Death of Other Household Member(s) 36
1.4%
16 Theft of Money/Valuables/Non-Agricultural Assets 20
0.8%
17 Theft of Agricultural Assets/Output (Crop or Livestock) 55
2.1%
18 Conflict/Violence 40
1.5%
19 Fire 2
0.1%
20 Other (specify) 43
1.6%
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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