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
54110
Downloads
344
- 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
I05: What was the quantity used? (kgs) (s3aq05)
Data file: i_parcel_level_plot_management.dta
Overview
Valid:
857
Invalid:
1568
Minimum:
0.5
Maximum:
200000
Type:
Discrete
Decimal:
0
Start:
91
End:
96
Width:
6
Range:
0.5 - 200000
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| -7 | Not applicable | 0 |
0%
|
| 0.5 | 4 |
0.5%
|
|
| 1 | 27 |
3.2%
|
|
| 2 | 29 |
3.4%
|
|
| 3 | 5 |
0.6%
|
|
| 4 | 8 |
0.9%
|
|
| 5 | 27 |
3.2%
|
|
| 6 | 3 |
0.4%
|
|
| 8 | 3 |
0.4%
|
|
| 9 | 1 |
0.1%
|
|
| 10 | 25 |
2.9%
|
|
| 12 | 4 |
0.5%
|
|
| 15 | 4 |
0.5%
|
|
| 18 | 1 |
0.1%
|
|
| 20 | 26 |
3%
|
|
| 24 | 1 |
0.1%
|
|
| 25 | 2 |
0.2%
|
|
| 30 | 13 |
1.5%
|
|
| 40 | 9 |
1.1%
|
|
| 50 | 61 |
7.1%
|
|
| 60 | 2 |
0.2%
|
|
| 70 | 4 |
0.5%
|
|
| 80 | 6 |
0.7%
|
|
| 90 | 1 |
0.1%
|
|
| 100 | 76 |
8.9%
|
|
| 130 | 1 |
0.1%
|
|
| 140 | 2 |
0.2%
|
|
| 150 | 16 |
1.9%
|
|
| 160 | 1 |
0.1%
|
|
| 180 | 1 |
0.1%
|
|
| 200 | 53 |
6.2%
|
|
| 210 | 1 |
0.1%
|
|
| 220 | 1 |
0.1%
|
|
| 230 | 1 |
0.1%
|
|
| 240 | 1 |
0.1%
|
|
| 250 | 6 |
0.7%
|
|
| 280 | 2 |
0.2%
|
|
| 300 | 34 |
4%
|
|
| 315 | 1 |
0.1%
|
|
| 340 | 1 |
0.1%
|
|
| 350 | 1 |
0.1%
|
|
| 360 | 1 |
0.1%
|
|
| 400 | 23 |
2.7%
|
|
| 420 | 1 |
0.1%
|
|
| 450 | 2 |
0.2%
|
|
| 500 | 63 |
7.4%
|
|
| 600 | 13 |
1.5%
|
|
| 650 | 2 |
0.2%
|
|
| 700 | 18 |
2.1%
|
|
| 800 | 16 |
1.9%
|
|
| 888 | Don't know | 44 |
5.1%
|
| 900 | 1 |
0.1%
|
|
| 960 | 1 |
0.1%
|
|
| 999 | Refused | 0 |
0%
|
| 1000 | 94 |
11%
|
|
| 1200 | 5 |
0.6%
|
|
| 1400 | 2 |
0.2%
|
|
| 1500 | 6 |
0.7%
|
|
| 1600 | 3 |
0.4%
|
|
| 1950 | 1 |
0.1%
|
|
| 2000 | 31 |
3.6%
|
|
| 2100 | 3 |
0.4%
|
|
| 2500 | 4 |
0.5%
|
|
| 2600 | 1 |
0.1%
|
|
| 2800 | 1 |
0.1%
|
|
| 3000 | 17 |
2%
|
|
| 3500 | 2 |
0.2%
|
|
| 4000 | 5 |
0.6%
|
|
| 4500 | 2 |
0.2%
|
|
| 5000 | 4 |
0.5%
|
|
| 6000 | 2 |
0.2%
|
|
| 7000 | 2 |
0.2%
|
|
| 7500 | 1 |
0.1%
|
|
| 8888 | 4 |
0.5%
|
|
| 10000 | 8 |
0.9%
|
|
| 15000 | 3 |
0.4%
|
|
| 30000 | 1 |
0.1%
|
|
| 50000 | 2 |
0.2%
|
|
| 100000 | 2 |
0.2%
|
|
| 200000 | 1 |
0.1%
|
|
| Sysmiss | 1568 |
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.