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    Home / Central Data Catalog / UGA_2023_ILGUIE-EL_V01_M / variable [F17]
central

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
Metadata
DDI/XML JSON
Created on
Apr 30, 2025
Last modified
Apr 30, 2025
Page views
9967
Downloads
10
  • Study Description
  • Data Dictionary
  • Downloads
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  • 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

I30: How many days did ${inapp_lab_} work on input application? (inapp_s3aq33_)

Data file: i_labor_level_plot_management.dta

Overview

Valid: 960
Invalid: 2671
Minimum: 1
Maximum: 888
Type: Discrete
Decimal: 0
Start: 58
End: 60
Width: 3
Range: 1 - 888
Format: Numeric

Questions and instructions

Categories
Value Category Cases
-7 Not applicable 0
0%
1 167
17.4%
2 224
23.3%
3 123
12.8%
4 42
4.4%
5 75
7.8%
6 15
1.6%
7 88
9.2%
8 18
1.9%
9 1
0.1%
10 37
3.9%
12 13
1.4%
13 1
0.1%
14 27
2.8%
15 21
2.2%
18 3
0.3%
20 10
1%
21 4
0.4%
23 1
0.1%
24 2
0.2%
25 2
0.2%
26 2
0.2%
27 4
0.4%
30 36
3.8%
31 1
0.1%
32 1
0.1%
35 1
0.1%
50 2
0.2%
60 7
0.7%
62 1
0.1%
80 1
0.1%
84 1
0.1%
90 2
0.2%
100 2
0.2%
112 1
0.1%
120 1
0.1%
130 4
0.4%
140 2
0.2%
150 4
0.4%
160 6
0.6%
165 2
0.2%
168 1
0.1%
170 1
0.1%
180 1
0.1%
888 2
0.2%
Sysmiss 2671
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.
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