Impact evaluation of the Improvement of Land Governance in Uganda to Increase Productivity of Small-Scale Farmers on Mailo-Land 2023
Endline
Uganda, 2023
Get Microdata
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
21669
Downloads
163
- 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
D15: If you were to sell this land today, how much do you think you could sell i (s5q17)
Data file: d_housing_conditions_water_sanitation.dta
Overview
Valid:
1387
Invalid:
220
Minimum:
0
Maximum:
600000000
Type:
Discrete
Decimal:
0
Start:
176
End:
184
Width:
9
Range:
0 - 600000000
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| -7 | Not applicable | 0 |
0%
|
| 0 | Just can't sell | 270 |
19.5%
|
| 1 | 2 |
0.1%
|
|
| 5 | 1 |
0.1%
|
|
| 300 | 1 |
0.1%
|
|
| 888 | Don't know | 130 |
9.4%
|
| 999 | 1 |
0.1%
|
|
| 8888 | 1 |
0.1%
|
|
| 30000 | 1 |
0.1%
|
|
| 100000 | 2 |
0.1%
|
|
| 200000 | 2 |
0.1%
|
|
| 300000 | 3 |
0.2%
|
|
| 500000 | 7 |
0.5%
|
|
| 600000 | 1 |
0.1%
|
|
| 1000000 | 18 |
1.3%
|
|
| 1100000 | 1 |
0.1%
|
|
| 1200000 | 1 |
0.1%
|
|
| 1500000 | 9 |
0.6%
|
|
| 1750000 | 1 |
0.1%
|
|
| 2000000 | 42 |
3%
|
|
| 2400000 | 1 |
0.1%
|
|
| 2500000 | 7 |
0.5%
|
|
| 3000000 | 47 |
3.4%
|
|
| 3080000 | 1 |
0.1%
|
|
| 3500000 | 5 |
0.4%
|
|
| 4000000 | 31 |
2.2%
|
|
| 4500000 | 3 |
0.2%
|
|
| 5000000 | 60 |
4.3%
|
|
| 5500000 | 1 |
0.1%
|
|
| 6000000 | 34 |
2.5%
|
|
| 7000000 | 17 |
1.2%
|
|
| 7500000 | 1 |
0.1%
|
|
| 8000000 | 23 |
1.7%
|
|
| 8500000 | 1 |
0.1%
|
|
| 9000000 | 7 |
0.5%
|
|
| 10000000 | 121 |
8.7%
|
|
| 12000000 | 24 |
1.7%
|
|
| 13000000 | 2 |
0.1%
|
|
| 14000000 | 5 |
0.4%
|
|
| 15000000 | 62 |
4.5%
|
|
| 16000000 | 9 |
0.6%
|
|
| 17000000 | 3 |
0.2%
|
|
| 18000000 | 8 |
0.6%
|
|
| 20000000 | 82 |
5.9%
|
|
| 21000000 | 2 |
0.1%
|
|
| 24000000 | 3 |
0.2%
|
|
| 25000000 | 19 |
1.4%
|
|
| 27000000 | 1 |
0.1%
|
|
| 28000000 | 3 |
0.2%
|
|
| 30000000 | 46 |
3.3%
|
|
| 32000000 | 2 |
0.1%
|
|
| 35000000 | 7 |
0.5%
|
|
| 36000000 | 3 |
0.2%
|
|
| 40000000 | 33 |
2.4%
|
|
| 45000000 | 6 |
0.4%
|
|
| 45500000 | 1 |
0.1%
|
|
| 50000000 | 61 |
4.4%
|
|
| 60000000 | 15 |
1.1%
|
|
| 61000000 | 1 |
0.1%
|
|
| 63000000 | 1 |
0.1%
|
|
| 70000000 | 11 |
0.8%
|
|
| 72000000 | 1 |
0.1%
|
|
| 75000000 | 2 |
0.1%
|
|
| 80000000 | 16 |
1.2%
|
|
| 90000000 | 4 |
0.3%
|
|
| 100000000 | 43 |
3.1%
|
|
| 120000000 | 2 |
0.1%
|
|
| 132000000 | 1 |
0.1%
|
|
| 140000000 | 1 |
0.1%
|
|
| 144000000 | 1 |
0.1%
|
|
| 150000000 | 10 |
0.7%
|
|
| 156000000 | 1 |
0.1%
|
|
| 160000000 | 1 |
0.1%
|
|
| 170000000 | 1 |
0.1%
|
|
| 180000000 | 1 |
0.1%
|
|
| 195000000 | 1 |
0.1%
|
|
| 200000000 | 14 |
1%
|
|
| 222000000 | 1 |
0.1%
|
|
| 250000000 | 2 |
0.1%
|
|
| 300000000 | 5 |
0.4%
|
|
| 350000000 | 1 |
0.1%
|
|
| 396000000 | 1 |
0.1%
|
|
| 500000000 | 8 |
0.6%
|
|
| 507500000 | 1 |
0.1%
|
|
| 600000000 | 4 |
0.3%
|
|
| Sysmiss | 220 |
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.