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    Home / Central Data Catalog / UGA_2023_ILGUIE-EL_V01_M / variable [F19]
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
10339
Downloads
11
  • 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

J10: How much seed did you use for ${crop_ind_label}? (QUANTITY) (s4aq11a)

Data file: j_crop_crops.dta

Overview

Valid: 1882
Invalid: 345
Minimum: 0
Maximum: 2200000
Type: Discrete
Decimal: 0
Start: 207
End: 213
Width: 7
Range: 0 - 2200000
Format: Numeric

Questions and instructions

Categories
Value Category Cases
-7 Not applicable 0
0%
0 23
1.2%
0.2 1
0.1%
0.25 2
0.1%
0.5 11
0.6%
0.75 1
0.1%
1 70
3.7%
1.05 1
0.1%
1.5 4
0.2%
2 115
6.1%
2.5 3
0.2%
3 116
6.2%
4 73
3.9%
5 203
10.8%
6 50
2.7%
6.5 1
0.1%
7 32
1.7%
8 46
2.4%
9 7
0.4%
10 300
15.9%
11 2
0.1%
12 15
0.8%
13 4
0.2%
14 2
0.1%
15 105
5.6%
16 9
0.5%
17 7
0.4%
18 6
0.3%
20 208
11.1%
21 1
0.1%
22 2
0.1%
23 2
0.1%
24 2
0.1%
25 53
2.8%
26 1
0.1%
28 2
0.1%
30 85
4.5%
34 1
0.1%
35 8
0.4%
36 4
0.2%
38 1
0.1%
40 43
2.3%
42 1
0.1%
45 7
0.4%
46 1
0.1%
50 51
2.7%
54 1
0.1%
60 19
1%
64 1
0.1%
68 1
0.1%
70 10
0.5%
74 1
0.1%
80 11
0.6%
90 1
0.1%
100 31
1.6%
110 1
0.1%
130 2
0.1%
150 9
0.5%
160 1
0.1%
170 1
0.1%
200 15
0.8%
220 1
0.1%
240 1
0.1%
250 7
0.4%
260 1
0.1%
280 1
0.1%
300 2
0.1%
350 1
0.1%
400 4
0.2%
450 6
0.3%
480 1
0.1%
500 7
0.4%
600 1
0.1%
650 1
0.1%
700 1
0.1%
888 Don't know 27
1.4%
950 1
0.1%
999 1
0.1%
1000 7
0.4%
1050 1
0.1%
1200 1
0.1%
1300 1
0.1%
1500 2
0.1%
1800 1
0.1%
2000 1
0.1%
3000 3
0.2%
4000 3
0.2%
5000 2
0.1%
8000 1
0.1%
8888 3
0.2%
9000 1
0.1%
10000 1
0.1%
12000 1
0.1%
170000 1
0.1%
2200000 1
0.1%
Sysmiss 345
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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