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    Home / Central Data Catalog / IMPACT_EVALUATION / UGA_2023_ILGUIE-EL_V01_M / variable [F9]
impact_evaluation

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
DOI
https://doi.org/10.48529/t75a-b729
Producer(s)
Heather Huntington, Thea Hilhorst, Kate Marple-Cantrell, Klaus Deininger, Daniel Ayalew Ali
Collection(s)
Impact Evaluation Surveys
Metadata
Documentation in PDF DDI/XML JSON
Created on
Apr 30, 2025
Last modified
Apr 30, 2025
Page views
43733
Downloads
276
  • Study Description
  • Data Description
  • Documentation
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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

F67: If you wanted to rent this land how much would you receive for it in the 2n (s2bq59)

Data file: f_active_parcels_parcel_management_use.dta

Overview

Valid: 496
Invalid: 1927
Minimum: 888
Maximum: 60000000
Type: Discrete
Decimal: 0
Start: 533
End: 540
Width: 8
Range: 888 - 60000000
Format: Numeric

Questions and instructions

Categories
Value Category Cases
-7 Not applicable 0
0%
888 Don't know 106
21.4%
999 Refused 19
3.8%
50000 45
9.1%
60000 5
1%
70000 6
1.2%
75000 3
0.6%
80000 4
0.8%
100000 45
9.1%
120000 9
1.8%
150000 43
8.7%
160000 1
0.2%
170000 1
0.2%
180000 2
0.4%
200000 54
10.9%
225000 1
0.2%
240000 1
0.2%
250000 14
2.8%
280000 1
0.2%
300000 31
6.3%
350000 2
0.4%
400000 18
3.6%
450000 2
0.4%
500000 23
4.6%
600000 12
2.4%
700000 1
0.2%
750000 2
0.4%
800000 4
0.8%
875000 1
0.2%
900000 5
1%
960000 1
0.2%
1000000 9
1.8%
1050000 1
0.2%
1200000 1
0.2%
1500000 5
1%
1600000 2
0.4%
2000000 4
0.8%
2400000 3
0.6%
2500000 2
0.4%
3000000 2
0.4%
4800000 1
0.2%
5200000 1
0.2%
6000000 1
0.2%
10000000 1
0.2%
60000000 1
0.2%
Sysmiss 1927
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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