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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
9421
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

B26: For how many days did ${name_ref} have to stop doing his/her usual activiti (s3q12)

Data file: b_endline_questions_household_roster.dta

Overview

Valid: 2724
Invalid: 8493
Minimum: 0
Maximum: 2400
Type: Discrete
Decimal: 0
Start: 286
End: 289
Width: 4
Range: 0 - 2400
Format: Numeric

Questions and instructions

Categories
Value Category Cases
-7 Not applicable 0
0%
0 100
3.7%
1 14
0.5%
2 88
3.2%
3 180
6.6%
4 123
4.5%
5 83
3%
6 31
1.1%
7 592
21.7%
8 19
0.7%
9 11
0.4%
10 53
1.9%
11 4
0.1%
12 20
0.7%
13 4
0.1%
14 308
11.3%
15 18
0.7%
16 2
0.1%
17 5
0.2%
18 7
0.3%
19 2
0.1%
20 39
1.4%
21 76
2.8%
23 6
0.2%
24 3
0.1%
25 14
0.5%
26 2
0.1%
28 10
0.4%
29 2
0.1%
30 365
13.4%
31 13
0.5%
32 8
0.3%
33 1
0%
34 2
0.1%
35 6
0.2%
37 1
0%
38 4
0.1%
40 20
0.7%
42 1
0%
45 30
1.1%
50 6
0.2%
55 1
0%
56 3
0.1%
58 1
0%
60 139
5.1%
62 5
0.2%
64 2
0.1%
65 1
0%
69 2
0.1%
70 3
0.1%
75 2
0.1%
80 1
0%
85 1
0%
90 95
3.5%
91 5
0.2%
93 2
0.1%
95 3
0.1%
100 6
0.2%
104 2
0.1%
106 1
0%
110 2
0.1%
120 26
1%
128 2
0.1%
140 1
0%
150 12
0.4%
160 2
0.1%
162 1
0%
170 2
0.1%
180 65
2.4%
181 10
0.4%
186 7
0.3%
200 2
0.1%
210 1
0%
240 5
0.2%
260 4
0.1%
280 1
0%
295 2
0.1%
300 1
0%
360 7
0.3%
363 1
0%
365 7
0.3%
530 2
0.1%
541 2
0.1%
600 2
0.1%
700 3
0.1%
730 2
0.1%
885 1
0%
1460 1
0%
2400 2
0.1%
Sysmiss 8493
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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