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
21439
Downloads
161
- 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
C08: What is the set rate you are paid? (s4q10)
Data file: c_wage_employment_and_non_market_labor_activities.dta
Overview
Valid:
656
Invalid:
5009
Minimum:
0
Maximum:
14000000
Type:
Discrete
Decimal:
0
Start:
332
End:
339
Width:
8
Range:
0 - 14000000
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| -7 | Not applicable | 0 |
0%
|
| 0 | 55 |
8.4%
|
|
| 800 | 1 |
0.2%
|
|
| 888 | Don't know | 31 |
4.7%
|
| 900 | 1 |
0.2%
|
|
| 1000 | 4 |
0.6%
|
|
| 1100 | 1 |
0.2%
|
|
| 1200 | 1 |
0.2%
|
|
| 2000 | 4 |
0.6%
|
|
| 2500 | 2 |
0.3%
|
|
| 3000 | 3 |
0.5%
|
|
| 4000 | 4 |
0.6%
|
|
| 5000 | 53 |
8.1%
|
|
| 5500 | 1 |
0.2%
|
|
| 5600 | 1 |
0.2%
|
|
| 6000 | 14 |
2.1%
|
|
| 7000 | 29 |
4.4%
|
|
| 8000 | 9 |
1.4%
|
|
| 8888 | 1 |
0.2%
|
|
| 9000 | 2 |
0.3%
|
|
| 9700 | 1 |
0.2%
|
|
| 10000 | 29 |
4.4%
|
|
| 12000 | 1 |
0.2%
|
|
| 15000 | 3 |
0.5%
|
|
| 20000 | 25 |
3.8%
|
|
| 25000 | 2 |
0.3%
|
|
| 30000 | 16 |
2.4%
|
|
| 40000 | 6 |
0.9%
|
|
| 50000 | 10 |
1.5%
|
|
| 60000 | 4 |
0.6%
|
|
| 70000 | 5 |
0.8%
|
|
| 75000 | 2 |
0.3%
|
|
| 80000 | 7 |
1.1%
|
|
| 90000 | 2 |
0.3%
|
|
| 93000 | 1 |
0.2%
|
|
| 100000 | 30 |
4.6%
|
|
| 120000 | 7 |
1.1%
|
|
| 130000 | 1 |
0.2%
|
|
| 140000 | 2 |
0.3%
|
|
| 150000 | 30 |
4.6%
|
|
| 154000 | 1 |
0.2%
|
|
| 180000 | 2 |
0.3%
|
|
| 200000 | 40 |
6.1%
|
|
| 210000 | 1 |
0.2%
|
|
| 230000 | 1 |
0.2%
|
|
| 240000 | 1 |
0.2%
|
|
| 250000 | 10 |
1.5%
|
|
| 260000 | 1 |
0.2%
|
|
| 270000 | 2 |
0.3%
|
|
| 280000 | 1 |
0.2%
|
|
| 300000 | 31 |
4.7%
|
|
| 320000 | 1 |
0.2%
|
|
| 324000 | 1 |
0.2%
|
|
| 330000 | 1 |
0.2%
|
|
| 400000 | 12 |
1.8%
|
|
| 450000 | 4 |
0.6%
|
|
| 480000 | 1 |
0.2%
|
|
| 500000 | 24 |
3.7%
|
|
| 520000 | 2 |
0.3%
|
|
| 555100 | 1 |
0.2%
|
|
| 568166 | 1 |
0.2%
|
|
| 600000 | 18 |
2.7%
|
|
| 620000 | 1 |
0.2%
|
|
| 660000 | 1 |
0.2%
|
|
| 700000 | 7 |
1.1%
|
|
| 750000 | 1 |
0.2%
|
|
| 754000 | 1 |
0.2%
|
|
| 770000 | 1 |
0.2%
|
|
| 790000 | 1 |
0.2%
|
|
| 800000 | 14 |
2.1%
|
|
| 830000 | 1 |
0.2%
|
|
| 900000 | 2 |
0.3%
|
|
| 980000 | 1 |
0.2%
|
|
| 1000000 | 24 |
3.7%
|
|
| 1170000 | 1 |
0.2%
|
|
| 1500000 | 10 |
1.5%
|
|
| 2000000 | 9 |
1.4%
|
|
| 2500000 | 2 |
0.3%
|
|
| 3000000 | 9 |
1.4%
|
|
| 4000000 | 5 |
0.8%
|
|
| 5000000 | 3 |
0.5%
|
|
| 8000000 | 1 |
0.2%
|
|
| 8100000 | 1 |
0.2%
|
|
| 10000000 | 1 |
0.2%
|
|
| 14000000 | 1 |
0.2%
|
|
| Sysmiss | 5009 |
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.