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
47837
Downloads
318
- 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
B17: Why has ${name_ref} never any attended school? (s3q04)
Data file: b_endline_questions_household_roster.dta
Overview
Valid:
1064
Invalid:
10153
Minimum:
1
Maximum:
97
Type:
Discrete
Decimal:
0
Start:
164
End:
165
Width:
2
Range:
1 - 97
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| -7 | Not applicable | 0 |
0%
|
| 1 | too expensive | 347 |
32.6%
|
| 2 | Too far away | 40 |
3.8%
|
| 3 | Poor school quality | 5 |
0.5%
|
| 4 | Had to help at home | 75 |
7%
|
| 5 | Had to help with farm work | 44 |
4.1%
|
| 6 | Had to help with family business | 4 |
0.4%
|
| 7 | Education not useful | 21 |
2%
|
| 8 | Parents did not want | 144 |
13.5%
|
| 9 | Not willing to attend | 50 |
4.7%
|
| 10 | Too young | 106 |
10%
|
| 11 | Orphaned | 65 |
6.1%
|
| 12 | Displaced | 8 |
0.8%
|
| 13 | Disabled | 49 |
4.6%
|
| 14 | Insecurity/Conflict | 16 |
1.5%
|
| 97 | Other | 90 |
8.5%
|
| Sysmiss | 10153 |
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.