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    Home / Central Data Catalog / IMPACT_EVALUATION / UGA_2023_ILGUIE-EL_V01_M / variable [F48]
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
64324
Downloads
427
  • 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

U06: What is the total estimate value of all pangas owned by your household? (s10q02a_3)

Data file: u_livelihood_and_assets.dta

Overview

Valid: 1499
Invalid: 108
Minimum: 888
Maximum: 450000
Type: Discrete
Decimal: 0
Start: 58
End: 63
Width: 6
Range: 888 - 450000
Format: Numeric

Questions and instructions

Categories
Value Category Cases
-7 Not applicable 0
0%
888 Don't know 30
2%
999 Refused 2
0.1%
1000 2
0.1%
2000 3
0.2%
3000 9
0.6%
4000 3
0.2%
4500 1
0.1%
5000 73
4.9%
6000 46
3.1%
7000 318
21.2%
7500 18
1.2%
8000 133
8.9%
9000 6
0.4%
10000 212
14.1%
11000 1
0.1%
12000 38
2.5%
13000 2
0.1%
14000 166
11.1%
15000 51
3.4%
16000 61
4.1%
17000 1
0.1%
18000 12
0.8%
19000 1
0.1%
20000 123
8.2%
20008 1
0.1%
21000 42
2.8%
22000 2
0.1%
22500 6
0.4%
23500 1
0.1%
24000 18
1.2%
25000 6
0.4%
27000 3
0.2%
28000 11
0.7%
30000 53
3.5%
32000 5
0.3%
35000 5
0.3%
36000 2
0.1%
37000 1
0.1%
40000 9
0.6%
44000 1
0.1%
49000 1
0.1%
50000 4
0.3%
60000 2
0.1%
70000 4
0.3%
80000 1
0.1%
100000 1
0.1%
120000 1
0.1%
140000 4
0.3%
150000 1
0.1%
400000 1
0.1%
450000 1
0.1%
Sysmiss 108
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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