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
22135
Downloads
169
- 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
J38: How much quantity of the ${crop_ind_label} that you harvested during the 1s (s5aq21_1)
Data file: j_crop_crops.dta
Overview
Valid:
1414
Invalid:
813
Minimum:
0
Maximum:
5180
Type:
Discrete
Decimal:
0
Start:
556
End:
559
Width:
4
Range:
0 - 5180
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| -7 | Not applicable | 0 |
0%
|
| 0 | 719 |
50.8%
|
|
| 1 | 32 |
2.3%
|
|
| 2 | 24 |
1.7%
|
|
| 3 | 26 |
1.8%
|
|
| 4 | 9 |
0.6%
|
|
| 5 | 40 |
2.8%
|
|
| 6 | 9 |
0.6%
|
|
| 7 | 6 |
0.4%
|
|
| 8 | 10 |
0.7%
|
|
| 9 | 1 |
0.1%
|
|
| 10 | 64 |
4.5%
|
|
| 12 | 1 |
0.1%
|
|
| 13 | 5 |
0.4%
|
|
| 14 | 1 |
0.1%
|
|
| 15 | 22 |
1.6%
|
|
| 16 | 1 |
0.1%
|
|
| 17 | 4 |
0.3%
|
|
| 18 | 4 |
0.3%
|
|
| 19 | 1 |
0.1%
|
|
| 20 | 79 |
5.6%
|
|
| 22 | 1 |
0.1%
|
|
| 24 | 1 |
0.1%
|
|
| 25 | 13 |
0.9%
|
|
| 27 | 1 |
0.1%
|
|
| 28 | 2 |
0.1%
|
|
| 29 | 1 |
0.1%
|
|
| 30 | 35 |
2.5%
|
|
| 31 | 1 |
0.1%
|
|
| 35 | 3 |
0.2%
|
|
| 37 | 1 |
0.1%
|
|
| 40 | 29 |
2.1%
|
|
| 43 | 2 |
0.1%
|
|
| 44 | 1 |
0.1%
|
|
| 45 | 3 |
0.2%
|
|
| 46 | 1 |
0.1%
|
|
| 47 | 1 |
0.1%
|
|
| 48 | 1 |
0.1%
|
|
| 50 | 63 |
4.5%
|
|
| 55 | 2 |
0.1%
|
|
| 58 | 1 |
0.1%
|
|
| 60 | 15 |
1.1%
|
|
| 62 | 1 |
0.1%
|
|
| 70 | 22 |
1.6%
|
|
| 75 | 1 |
0.1%
|
|
| 79 | 1 |
0.1%
|
|
| 80 | 11 |
0.8%
|
|
| 83 | 1 |
0.1%
|
|
| 90 | 7 |
0.5%
|
|
| 100 | 33 |
2.3%
|
|
| 110 | 2 |
0.1%
|
|
| 120 | 5 |
0.4%
|
|
| 130 | 6 |
0.4%
|
|
| 140 | 1 |
0.1%
|
|
| 145 | 1 |
0.1%
|
|
| 150 | 11 |
0.8%
|
|
| 155 | 1 |
0.1%
|
|
| 160 | 1 |
0.1%
|
|
| 165 | 1 |
0.1%
|
|
| 180 | 2 |
0.1%
|
|
| 190 | 2 |
0.1%
|
|
| 200 | 10 |
0.7%
|
|
| 215 | 1 |
0.1%
|
|
| 230 | 2 |
0.1%
|
|
| 250 | 5 |
0.4%
|
|
| 300 | 5 |
0.4%
|
|
| 330 | 1 |
0.1%
|
|
| 350 | 1 |
0.1%
|
|
| 360 | 1 |
0.1%
|
|
| 380 | 1 |
0.1%
|
|
| 400 | 3 |
0.2%
|
|
| 415 | 1 |
0.1%
|
|
| 450 | 1 |
0.1%
|
|
| 470 | 2 |
0.1%
|
|
| 480 | 3 |
0.2%
|
|
| 490 | 1 |
0.1%
|
|
| 500 | 5 |
0.4%
|
|
| 700 | 2 |
0.1%
|
|
| 720 | 1 |
0.1%
|
|
| 810 | 1 |
0.1%
|
|
| 850 | 1 |
0.1%
|
|
| 888 | 1 |
0.1%
|
|
| 900 | 1 |
0.1%
|
|
| 940 | 1 |
0.1%
|
|
| 1000 | 3 |
0.2%
|
|
| 1050 | 1 |
0.1%
|
|
| 1150 | 1 |
0.1%
|
|
| 1180 | 2 |
0.1%
|
|
| 1200 | 1 |
0.1%
|
|
| 1300 | 1 |
0.1%
|
|
| 1470 | 1 |
0.1%
|
|
| 1494 | 1 |
0.1%
|
|
| 1680 | 1 |
0.1%
|
|
| 2000 | 1 |
0.1%
|
|
| 2550 | 1 |
0.1%
|
|
| 2840 | 1 |
0.1%
|
|
| 2990 | 1 |
0.1%
|
|
| 5180 | 1 |
0.1%
|
|
| Sysmiss | 813 |
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.