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    Home / Central Data Catalog / UGA_2023_ILGUIE-EL_V01_M / variable [F2]
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
9431
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

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.
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