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
Collection(s)
Metadata
Created on
Apr 30, 2025
Last modified
Apr 30, 2025
Page views
53904
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343
- 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
I14: What was the value of the purchase? (UGX) (s3aq18)
Data file: i_parcel_level_plot_management.dta
Overview
Valid:
434
Invalid:
1991
Minimum:
500
Maximum:
4800000
Type:
Discrete
Decimal:
0
Start:
180
End:
186
Width:
7
Range:
500 - 4800000
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| -7 | Not applicable | 0 |
0%
|
| 500 | 1 |
0.2%
|
|
| 888 | 6 |
1.4%
|
|
| 1750 | 1 |
0.2%
|
|
| 3000 | 1 |
0.2%
|
|
| 5000 | 5 |
1.2%
|
|
| 6000 | 16 |
3.7%
|
|
| 7000 | 1 |
0.2%
|
|
| 8000 | 1 |
0.2%
|
|
| 10000 | 17 |
3.9%
|
|
| 10500 | 1 |
0.2%
|
|
| 12000 | 11 |
2.5%
|
|
| 13000 | 2 |
0.5%
|
|
| 14000 | 2 |
0.5%
|
|
| 15000 | 18 |
4.1%
|
|
| 16000 | 2 |
0.5%
|
|
| 18000 | 4 |
0.9%
|
|
| 20000 | 19 |
4.4%
|
|
| 22000 | 4 |
0.9%
|
|
| 23000 | 1 |
0.2%
|
|
| 24000 | 3 |
0.7%
|
|
| 25000 | 12 |
2.8%
|
|
| 26000 | 1 |
0.2%
|
|
| 28000 | 2 |
0.5%
|
|
| 30000 | 17 |
3.9%
|
|
| 35000 | 3 |
0.7%
|
|
| 36000 | 4 |
0.9%
|
|
| 38500 | 1 |
0.2%
|
|
| 40000 | 13 |
3%
|
|
| 42000 | 2 |
0.5%
|
|
| 45000 | 6 |
1.4%
|
|
| 46000 | 1 |
0.2%
|
|
| 48000 | 1 |
0.2%
|
|
| 50000 | 31 |
7.1%
|
|
| 55000 | 2 |
0.5%
|
|
| 58000 | 1 |
0.2%
|
|
| 60000 | 16 |
3.7%
|
|
| 62000 | 1 |
0.2%
|
|
| 66000 | 1 |
0.2%
|
|
| 69000 | 1 |
0.2%
|
|
| 70000 | 1 |
0.2%
|
|
| 74500 | 1 |
0.2%
|
|
| 75000 | 10 |
2.3%
|
|
| 76000 | 1 |
0.2%
|
|
| 77500 | 1 |
0.2%
|
|
| 80000 | 5 |
1.2%
|
|
| 85000 | 1 |
0.2%
|
|
| 90000 | 5 |
1.2%
|
|
| 100000 | 19 |
4.4%
|
|
| 115000 | 2 |
0.5%
|
|
| 120000 | 7 |
1.6%
|
|
| 125000 | 3 |
0.7%
|
|
| 130000 | 2 |
0.5%
|
|
| 140000 | 5 |
1.2%
|
|
| 150000 | 7 |
1.6%
|
|
| 155000 | 1 |
0.2%
|
|
| 160000 | 2 |
0.5%
|
|
| 170000 | 2 |
0.5%
|
|
| 180000 | 7 |
1.6%
|
|
| 185000 | 1 |
0.2%
|
|
| 200000 | 19 |
4.4%
|
|
| 210000 | 1 |
0.2%
|
|
| 220000 | 12 |
2.8%
|
|
| 225000 | 2 |
0.5%
|
|
| 230000 | 2 |
0.5%
|
|
| 240000 | 4 |
0.9%
|
|
| 247500 | 1 |
0.2%
|
|
| 250000 | 16 |
3.7%
|
|
| 260000 | 2 |
0.5%
|
|
| 270000 | 1 |
0.2%
|
|
| 280000 | 1 |
0.2%
|
|
| 300000 | 5 |
1.2%
|
|
| 310000 | 1 |
0.2%
|
|
| 330000 | 1 |
0.2%
|
|
| 400000 | 9 |
2.1%
|
|
| 420000 | 1 |
0.2%
|
|
| 440000 | 2 |
0.5%
|
|
| 450000 | 3 |
0.7%
|
|
| 460000 | 3 |
0.7%
|
|
| 495000 | 1 |
0.2%
|
|
| 500000 | 6 |
1.4%
|
|
| 540000 | 1 |
0.2%
|
|
| 570000 | 1 |
0.2%
|
|
| 575000 | 1 |
0.2%
|
|
| 600000 | 6 |
1.4%
|
|
| 720000 | 1 |
0.2%
|
|
| 750000 | 2 |
0.5%
|
|
| 760000 | 1 |
0.2%
|
|
| 800000 | 4 |
0.9%
|
|
| 1000000 | 3 |
0.7%
|
|
| 1050000 | 1 |
0.2%
|
|
| 1100000 | 1 |
0.2%
|
|
| 1200000 | 1 |
0.2%
|
|
| 1550000 | 1 |
0.2%
|
|
| 3600000 | 1 |
0.2%
|
|
| 4800000 | 1 |
0.2%
|
|
| Sysmiss | 1991 |
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.