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
47526
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315
- 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
B25: For how many days did ${name_ref} suffer due to illness or injury From Jan (s3q11)
Data file: b_endline_questions_household_roster.dta
Overview
Valid:
2734
Invalid:
8483
Minimum:
-3
Maximum:
2400
Type:
Discrete
Decimal:
0
Start:
282
End:
285
Width:
4
Range:
-3 - 2400
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| -7 | Not applicable | 0 |
0%
|
| -3 | 1 |
0%
|
|
| 0 | 9 |
0.3%
|
|
| 1 | 17 |
0.6%
|
|
| 2 | 75 |
2.7%
|
|
| 3 | 196 |
7.2%
|
|
| 4 | 131 |
4.8%
|
|
| 5 | 70 |
2.6%
|
|
| 6 | 19 |
0.7%
|
|
| 7 | 686 |
25.1%
|
|
| 8 | 10 |
0.4%
|
|
| 9 | 9 |
0.3%
|
|
| 10 | 26 |
1%
|
|
| 11 | 2 |
0.1%
|
|
| 12 | 17 |
0.6%
|
|
| 14 | 367 |
13.4%
|
|
| 15 | 22 |
0.8%
|
|
| 16 | 1 |
0%
|
|
| 17 | 3 |
0.1%
|
|
| 18 | 8 |
0.3%
|
|
| 19 | 1 |
0%
|
|
| 20 | 25 |
0.9%
|
|
| 21 | 70 |
2.6%
|
|
| 23 | 4 |
0.1%
|
|
| 24 | 7 |
0.3%
|
|
| 25 | 6 |
0.2%
|
|
| 28 | 7 |
0.3%
|
|
| 29 | 2 |
0.1%
|
|
| 30 | 419 |
15.3%
|
|
| 31 | 9 |
0.3%
|
|
| 32 | 6 |
0.2%
|
|
| 33 | 1 |
0%
|
|
| 34 | 2 |
0.1%
|
|
| 35 | 1 |
0%
|
|
| 38 | 6 |
0.2%
|
|
| 40 | 9 |
0.3%
|
|
| 42 | 1 |
0%
|
|
| 45 | 13 |
0.5%
|
|
| 50 | 2 |
0.1%
|
|
| 55 | 1 |
0%
|
|
| 56 | 4 |
0.1%
|
|
| 58 | 1 |
0%
|
|
| 60 | 147 |
5.4%
|
|
| 62 | 4 |
0.1%
|
|
| 64 | 2 |
0.1%
|
|
| 65 | 2 |
0.1%
|
|
| 69 | 2 |
0.1%
|
|
| 90 | 98 |
3.6%
|
|
| 91 | 6 |
0.2%
|
|
| 93 | 3 |
0.1%
|
|
| 100 | 5 |
0.2%
|
|
| 106 | 1 |
0%
|
|
| 120 | 30 |
1.1%
|
|
| 128 | 2 |
0.1%
|
|
| 140 | 1 |
0%
|
|
| 150 | 23 |
0.8%
|
|
| 160 | 1 |
0%
|
|
| 162 | 1 |
0%
|
|
| 180 | 73 |
2.7%
|
|
| 181 | 16 |
0.6%
|
|
| 186 | 7 |
0.3%
|
|
| 210 | 1 |
0%
|
|
| 225 | 2 |
0.1%
|
|
| 240 | 3 |
0.1%
|
|
| 260 | 4 |
0.1%
|
|
| 280 | 3 |
0.1%
|
|
| 295 | 1 |
0%
|
|
| 300 | 1 |
0%
|
|
| 360 | 5 |
0.2%
|
|
| 363 | 1 |
0%
|
|
| 365 | 8 |
0.3%
|
|
| 541 | 2 |
0.1%
|
|
| 600 | 2 |
0.1%
|
|
| 670 | 2 |
0.1%
|
|
| 700 | 3 |
0.1%
|
|
| 730 | 2 |
0.1%
|
|
| 885 | 1 |
0%
|
|
| 1460 | 1 |
0%
|
|
| 2400 | 2 |
0.1%
|
|
| Sysmiss | 8483 |
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.